CINXE.COM

<!DOCTYPE html><html lang="en"><head><meta charset="utf-8"><title>Data Store Archive — ProPublica</title><meta name="description" content="Browse datasets released between 2013 and 2023."><meta name="viewport" content="width=device-width,initial-scale=1"><link rel="canonical" href="https://projects.propublica.org/datastore/"><meta name="parsely-section" content="News Apps"><meta name="parsely-link" content="https://projects.propublica.org/datastore/"><meta name="parsely-image-url" content="https://assets.propublica.org/2017-pp-open-graph-1200x630.jpg"><meta property="og:title" content="Data Store Archive"><meta property="og:description" content="Browse datasets released between 2013 and 2023."><meta property="og:url" content="https://projects.propublica.org/datastore/"><meta property="og:image" content="https://assets.propublica.org/2017-pp-open-graph-1200x630.jpg"><meta property="og:type" content="article"><meta property="og:site_name" content="ProPublica"><meta property="og:locale" content="en_US"><meta property="twitter:title" content="Data Store Archive"><meta property="twitter:description" content="Browse datasets released between 2013 and 2023."><meta property="twitter:url" content="https://projects.propublica.org/datastore/"><meta property="twitter:image" content="https://assets.propublica.org/2017-pp-open-graph-1200x630.jpg"><meta property="twitter:card" content="summary_large_image"><link rel="stylesheet" href="/datastore/styles/main.4ec9e25a.css"><link rel="stylesheet" href="/datastore/scripts/assets/app.5fd8a865.css"><script type="module" src="/datastore/scripts/app.65e3aebf.js"></script></head><body class="text-dark bg-white accent-blue neutral-cool"><script type="application/json" class="svelte-config">{"componentName":"SiteHeader","props":{"type":"compact"},"contextArray":[]}</script><a class="site-header-skip-link a11y a11y-focusable--absolute svelte-5qrmpy" href="#main" data-svelte-h="svelte-19fmzuu">Skip to content</a><div class="site-header--compact svelte-5qrmpy" data-pp-location="svelte-siteheader"><div class="variant-compact__inner-wrap svelte-5qrmpy variant-compact__inner-wrap--has-border"><div class="variant-compact__section-menu svelte-5qrmpy"><button class="button shape--round-rect button-is-icon-only svelte-1qpwxqa" data-link="Menu" data-pp-skip="false" data-testid="compact-menu-button" style="--button-bg-color: transparent; --button-border: none; --button-color: var(--site-header-color-button-text, var(--color-neutral-80)); --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><title>Menu</title><path fill-rule="evenodd" clip-rule="evenodd" d="M2 12C2 11.4477 2.44772 11 3 11H21C21.5523 11 22 11.4477 22 12C22 12.5523 21.5523 13 21 13H3C2.44772 13 2 12.5523 2 12Z" fill="currentColor"></path><path fill-rule="evenodd" clip-rule="evenodd" d="M2 6C2 5.44772 2.44772 5 3 5H21C21.5523 5 22 5.44772 22 6C22 6.55228 21.5523 7 21 7H3C2.44772 7 2 6.55228 2 6Z" fill="currentColor"></path><path fill-rule="evenodd" clip-rule="evenodd" d="M2 18C2 17.4477 2.44772 17 3 17H21C21.5523 17 22 17.4477 22 18C22 18.5523 21.5523 19 21 19H3C2.44772 19 2 18.5523 2 18Z" fill="currentColor"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Menu</span></button></div><a class="variant-compact__wordmark svelte-5qrmpy" href="https://www.propublica.org"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 574.24 75" fill="currentColor"><title>ProPublica</title><path d="M66.4,13.48,66,14.91l6.23,11.45,1.15.47L75,26.29V75H50.95A41.2,41.2,0,0,0,62.13,46.88a40.61,40.61,0,0,0-3.39-16.26,45.17,45.17,0,0,1,7.79-4.95l1.69-.2.14-.41L65,18.83H64.5l-.88,1.29c-2.91,1.9-4.67,2.3-8.54,3.79A41.35,41.35,0,0,0,20.46,5.42,39.87,39.87,0,0,0,0,10.91V0H75V8.81ZM57.32,47A37.54,37.54,0,0,1,44.65,75H0V16A37,37,0,0,1,57.32,47ZM43.7,37.06c0-8.13-6-12-17.75-12H7.18v3.66l4.2.95V62.2l-4.2.95v3.73H27.85V63.14l-7.18-.95V50.14h5.15C37.26,50.14,43.7,45.53,43.7,37.06Zm-9.76.27c0,5.15-2.78,8.33-7.25,8.33h-6V29.47H27C31.37,29.47,33.94,32.32,33.94,37.33Z"></path><path d="M116.53,60.07l9.15,1.08v4.2H99.39v-4.2l5.28-1.36v-44l-5.28-1.36V10.41H123c15.31,0,22.9,5.28,22.9,16.13,0,11.18-8.33,17.41-23.1,17.41h-6.3Zm0-21.14h6.84c6.44,0,10.5-4.61,10.5-12.06,0-7.18-3.73-11.45-10.09-11.45h-7.25Z"></path><path d="M200.74,61.15v4.2H185.9l-16-20.6h-2.51v15l5.28,1.36v4.2H150.27v-4.2l5.28-1.36V23.35l-5-1.36V17.93H175.2c10.5,0,17.55,5.08,17.55,12.67,0,8.4-5.76,12.2-11,13.55l13.48,15.79ZM167.41,39.74h4.47c5.76,0,8.81-3.18,8.81-8.88,0-5.35-2.85-7.93-8.81-7.93h-4.47Z"></path><path d="M199.59,41.64c0-14.77,9.82-24.73,25.68-24.73s25.68,10,25.68,24.73-9.82,24.73-25.68,24.73S199.59,56.48,199.59,41.64Zm38.89,0c0-9.69-3.25-19.17-13.21-19.17S212.05,32,212.05,41.64s3.25,19.17,13.21,19.17S238.48,51.33,238.48,41.64Z"></path><path d="M270.79,60.07l9.15,1.08v4.2H253.31v-4.2l5.62-1.36v-44l-5.62-1.36V10.41h24c15.31,0,22.9,5.28,22.9,16.13,0,11.18-8.33,17.41-23.1,17.41h-6.3Zm0-21.14h6.84c6.44,0,10.5-4.61,10.5-12.06,0-7.18-3.73-11.45-10.1-11.45h-7.25Z"></path><path d="M354.26,22l-4.95,1.36V47c0,12.87-7.79,19.38-20.05,19.38-13.62,0-20.73-7.86-20.73-20v-23L303.58,22V17.93h22V22l-5.08,1.36V47.74c0,7.25,4.34,12.06,11.45,12.06,6.84,0,11.25-4.47,11.25-11.31V23.35L338.14,22V17.93h16.12Z"></path><path d="M403.85,52.21c0,8.88-7.11,13.14-22,13.14H357.58v-4.2l5.56-1.36V23.35L358.26,22V17.93h23.92c12.6,0,19.51,3.79,19.51,11.72,0,6.17-4.06,9.08-10.91,9.89v.27C399.31,40.76,403.85,45.1,403.85,52.21ZM375,38.32h5.76c6.1,0,9-2.78,9-7.79,0-5.22-3.12-7.59-9-7.59H375Zm16.8,13.41c0-5.62-3.79-8.67-11.25-8.67H375V60.34h6.64C388.07,60.34,391.79,57.29,391.79,51.74Z"></path><path d="M451.07,48.62l-4.4,16.73H408v-4.2l5.28-1.36V23.35L407.65,22V17.93h22.76V22l-5.28,1.36v37l14.16-.81L447,47.26Z"></path><path d="M475.4,61.15v4.2H453v-4.2l5.28-1.36V23.35L453,22V17.93H475.4V22l-5.28,1.36V59.8Z"></path><path d="M478,41.78c0-15.85,12.13-24.86,27-24.86a35.6,35.6,0,0,1,18.29,5.15l-2,13.21h-4.2l-1.69-9.08a13.23,13.23,0,0,0-10.09-4.13c-9.15,0-14.7,6.57-14.7,18.22,0,13.21,6.84,19.31,15.24,19.31,6.17,0,10.23-3.39,13.41-9.55l4.27,2c-4.27,10-11.65,14.36-21.07,14.36C488.4,66.37,478,56.48,478,41.78Z"></path><path d="M574.24,61.15v4.2H551.48v-4.2L557,60l-2.85-8.13h-16.6l-3.12,8.2,5.42,1.15-.07,4.2-16.53-.07v-4.2l4.27-1.08,14.9-37.33-4-1.29V17.93h13.69L569.3,60Zm-27.57-31-.47-1.56-.47,1.56-6.23,16.73h12.94Z"></path></svg></a><a data-pp-view="" href="https://give.propublica.org/give/346423/#!/donation/checkout?c_src=UpRed" class="button shape--round-rect svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: var(--red-50); --button-border: none; --button-color: var(--white); --button-font-size: var(--scale-2); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale2); --icon-size: 1em;"><span class="text font--serif svelte-1qpwxqa">Donate</span></a></div></div><div class="site-header-overlay svelte-5qrmpy" data-testid="overlay" data-pp-location="svelte-siteheader-overlay" style="opacity: 0; pointer-events: none;"><div class="variant-overlay__top-inner-wrap svelte-5qrmpy"><div class="variant-overlay__section-menu svelte-5qrmpy"><button class="button shape--round-rect button-is-icon-only svelte-1qpwxqa" data-link="Menu" data-pp-skip="false" data-testid="close-overlay-button" style="--button-bg-color: transparent; --button-border: none; --button-color: white; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: var(--scale0);"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Close</title><line x1="18" y1="6" x2="6" y2="18"></line><line x1="6" y1="6" x2="18" y2="18"></line></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Close</span></button></div><a class="variant-overlay__wordmark svelte-5qrmpy" href="https://www.propublica.org"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 574.24 75" fill="currentColor"><title>ProPublica</title><path d="M66.4,13.48,66,14.91l6.23,11.45,1.15.47L75,26.29V75H50.95A41.2,41.2,0,0,0,62.13,46.88a40.61,40.61,0,0,0-3.39-16.26,45.17,45.17,0,0,1,7.79-4.95l1.69-.2.14-.41L65,18.83H64.5l-.88,1.29c-2.91,1.9-4.67,2.3-8.54,3.79A41.35,41.35,0,0,0,20.46,5.42,39.87,39.87,0,0,0,0,10.91V0H75V8.81ZM57.32,47A37.54,37.54,0,0,1,44.65,75H0V16A37,37,0,0,1,57.32,47ZM43.7,37.06c0-8.13-6-12-17.75-12H7.18v3.66l4.2.95V62.2l-4.2.95v3.73H27.85V63.14l-7.18-.95V50.14h5.15C37.26,50.14,43.7,45.53,43.7,37.06Zm-9.76.27c0,5.15-2.78,8.33-7.25,8.33h-6V29.47H27C31.37,29.47,33.94,32.32,33.94,37.33Z"></path><path d="M116.53,60.07l9.15,1.08v4.2H99.39v-4.2l5.28-1.36v-44l-5.28-1.36V10.41H123c15.31,0,22.9,5.28,22.9,16.13,0,11.18-8.33,17.41-23.1,17.41h-6.3Zm0-21.14h6.84c6.44,0,10.5-4.61,10.5-12.06,0-7.18-3.73-11.45-10.09-11.45h-7.25Z"></path><path d="M200.74,61.15v4.2H185.9l-16-20.6h-2.51v15l5.28,1.36v4.2H150.27v-4.2l5.28-1.36V23.35l-5-1.36V17.93H175.2c10.5,0,17.55,5.08,17.55,12.67,0,8.4-5.76,12.2-11,13.55l13.48,15.79ZM167.41,39.74h4.47c5.76,0,8.81-3.18,8.81-8.88,0-5.35-2.85-7.93-8.81-7.93h-4.47Z"></path><path d="M199.59,41.64c0-14.77,9.82-24.73,25.68-24.73s25.68,10,25.68,24.73-9.82,24.73-25.68,24.73S199.59,56.48,199.59,41.64Zm38.89,0c0-9.69-3.25-19.17-13.21-19.17S212.05,32,212.05,41.64s3.25,19.17,13.21,19.17S238.48,51.33,238.48,41.64Z"></path><path d="M270.79,60.07l9.15,1.08v4.2H253.31v-4.2l5.62-1.36v-44l-5.62-1.36V10.41h24c15.31,0,22.9,5.28,22.9,16.13,0,11.18-8.33,17.41-23.1,17.41h-6.3Zm0-21.14h6.84c6.44,0,10.5-4.61,10.5-12.06,0-7.18-3.73-11.45-10.1-11.45h-7.25Z"></path><path d="M354.26,22l-4.95,1.36V47c0,12.87-7.79,19.38-20.05,19.38-13.62,0-20.73-7.86-20.73-20v-23L303.58,22V17.93h22V22l-5.08,1.36V47.74c0,7.25,4.34,12.06,11.45,12.06,6.84,0,11.25-4.47,11.25-11.31V23.35L338.14,22V17.93h16.12Z"></path><path d="M403.85,52.21c0,8.88-7.11,13.14-22,13.14H357.58v-4.2l5.56-1.36V23.35L358.26,22V17.93h23.92c12.6,0,19.51,3.79,19.51,11.72,0,6.17-4.06,9.08-10.91,9.89v.27C399.31,40.76,403.85,45.1,403.85,52.21ZM375,38.32h5.76c6.1,0,9-2.78,9-7.79,0-5.22-3.12-7.59-9-7.59H375Zm16.8,13.41c0-5.62-3.79-8.67-11.25-8.67H375V60.34h6.64C388.07,60.34,391.79,57.29,391.79,51.74Z"></path><path d="M451.07,48.62l-4.4,16.73H408v-4.2l5.28-1.36V23.35L407.65,22V17.93h22.76V22l-5.28,1.36v37l14.16-.81L447,47.26Z"></path><path d="M475.4,61.15v4.2H453v-4.2l5.28-1.36V23.35L453,22V17.93H475.4V22l-5.28,1.36V59.8Z"></path><path d="M478,41.78c0-15.85,12.13-24.86,27-24.86a35.6,35.6,0,0,1,18.29,5.15l-2,13.21h-4.2l-1.69-9.08a13.23,13.23,0,0,0-10.09-4.13c-9.15,0-14.7,6.57-14.7,18.22,0,13.21,6.84,19.31,15.24,19.31,6.17,0,10.23-3.39,13.41-9.55l4.27,2c-4.27,10-11.65,14.36-21.07,14.36C488.4,66.37,478,56.48,478,41.78Z"></path><path d="M574.24,61.15v4.2H551.48v-4.2L557,60l-2.85-8.13h-16.6l-3.12,8.2,5.42,1.15-.07,4.2-16.53-.07v-4.2l4.27-1.08,14.9-37.33-4-1.29V17.93h13.69L569.3,60Zm-27.57-31-.47-1.56-.47,1.56-6.23,16.73h12.94Z"></path></svg></a><a data-pp-view="" href="https://give.propublica.org/give/346423/#!/donation/checkout?c_src=UpRed" class="button shape--round-rect svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: var(--red-50); --button-border: none; --button-color: var(--white); --button-font-size: var(--scale-2); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale2); --icon-size: 1em;"><span class="text font--serif svelte-1qpwxqa">Donate</span></a></div><div class="site-header-overlay__wrap-expanded svelte-5qrmpy" data-pp-location="masthead wrap-expanded"><div class="site-header__section-search svelte-5qrmpy"><form class="search-form svelte-5qrmpy" role="search" action="https://propublica.org/search" method="get"><label class="a11y hed-form hed-site-search" for="search-form__input-text" data-svelte-h="svelte-zdbb25">Search ProPublica:</label><div class="search-form__input-wrap svelte-5qrmpy"><input placeholder="Search" id="search-form__input-text" class="search-form__input-text svelte-5qrmpy" type="search" value="" name="qss"> <button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: var(--cool-70); --button-border: none; --button-color: white; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale4); --icon-size: var(--scale0);"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Search</title><circle cx="11" cy="11" r="8"></circle><line x1="21" y1="21" x2="16.65" y2="16.65"></line></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Search</span></button></div></form></div><nav class="site-header__section-links-expanded svelte-5qrmpy" aria-label="Expanded Links" hidden><div class="site-header__links site-header__links-topics svelte-5qrmpy"><strong class="site-header__links-heading svelte-5qrmpy">Topics</strong><ul class="site-header__links-list svelte-5qrmpy"><li class="svelte-5qrmpy"><span class="icon svelte-5qrmpy"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 15 15" fill="currentColor"><title>Racial Justice</title><path d="M15,12.23v0L14,4.55l.24.06.11,0a.38.38,0,0,0,.36-.27.38.38,0,0,0-.25-.47c-.19-.06-.39-.1-.59-.15a.38.38,0,0,0-.29-.26.37.37,0,0,0-.28.11c-.6-.15-1.21-.28-1.82-.39V1.29A1.29,1.29,0,0,0,10.17,0,1.32,1.32,0,0,0,9.11.57a1.37,1.37,0,0,0-2,.26A1.3,1.3,0,0,0,6.23.51a1.32,1.32,0,0,0-1.12.66A1.13,1.13,0,0,0,4.46,1,1.19,1.19,0,0,0,3.27,2.14V3.25c-.53.1-1,.21-1.57.34a.37.37,0,0,0-.28-.11.38.38,0,0,0-.29.26c-.19,0-.39.09-.58.15a.38.38,0,0,0-.25.47.38.38,0,0,0,.36.27l.11,0L1,4.55,0,12.21v0A2.67,2.67,0,0,0,2.6,15a2.67,2.67,0,0,0,2.57-2.73h0a.19.19,0,0,0,0-.07.13.13,0,0,0,0-.06h0L2,4.27c.41-.1.82-.18,1.24-.25v.37a4,4,0,0,0-.12,1A3.93,3.93,0,0,0,5.21,8.81v1.77a.38.38,0,1,0,.75,0v-2a.39.39,0,0,0-.21-.34A3.19,3.19,0,0,1,3.9,5.39a1.18,1.18,0,0,0,.56.16,1.2,1.2,0,0,0,.8-.32,1.35,1.35,0,0,0,1,.43,1.29,1.29,0,0,0,1-.44,1.29,1.29,0,0,0,.6.32,3.58,3.58,0,0,0-.89.85.37.37,0,0,0,.3.59.39.39,0,0,0,.31-.15A2.81,2.81,0,0,1,9.76,5.61a.38.38,0,0,0,0-.75H8.14a.59.59,0,0,1-.58-.59v-.5h2.82a.73.73,0,0,1,.75.71v.89A3.19,3.19,0,0,1,9.28,8.24a.39.39,0,0,0-.21.34v2a.38.38,0,1,0,.75,0V8.81a3.93,3.93,0,0,0,2.06-3.44V4.48A1.33,1.33,0,0,0,11.8,4c.4.07.79.15,1.18.24L9.87,12.11h0a.13.13,0,0,0,0,.06.25.25,0,0,0,0,.07h0A2.67,2.67,0,0,0,12.41,15,2.67,2.67,0,0,0,15,12.25ZM1.65,5.35l2.59,6.53H.83Zm1,8.9A1.88,1.88,0,0,1,.81,12.63H4.39A1.88,1.88,0,0,1,2.6,14.25ZM4.9,4.36a.44.44,0,0,1-.44.44A.44.44,0,0,1,4,4.36V2.14a.44.44,0,0,1,.44-.44.44.44,0,0,1,.44.44Zm1.91,0a.58.58,0,1,1-1.16,0V2.14a.7.7,0,0,0,0-.14.4.4,0,0,0,0-.15.58.58,0,1,1,1.16,0Zm.73-2.58a.43.43,0,0,0,0-.11.65.65,0,1,1,1.29,0V3H7.56V1.85S7.54,1.78,7.54,1.74ZM9.6,3V1.63s0,0,0-.06,0,0,0,0V1.29a.57.57,0,0,1,1.14,0V3.07a1.49,1.49,0,0,0-.36,0Zm4.58,8.86H10.77l2.59-6.53Zm-1.77,2.37a1.89,1.89,0,0,1-1.79-1.62H14.2A1.88,1.88,0,0,1,12.41,14.25Z"></path></svg> </span><a class="site-header__link svelte-5qrmpy" data-link="Racial Justice" href="https://www.propublica.org/topics/racial-justice">Racial Justice</a></li><li class="svelte-5qrmpy"><span class="icon svelte-5qrmpy"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 15 15" fill="currentColor"><title>Healthcare</title><path d="M6.77,4.81H6.28a10,10,0,0,1-4.19-.92L.44,3a.67.67,0,0,1-.36-.67.7.7,0,0,1,.49-.6L4.38.65a1.14,1.14,0,0,1,1,.19,1.08,1.08,0,0,1,.42.86.56.56,0,0,0,.54.56h.48a.37.37,0,0,1,.37.37A.38.38,0,0,1,6.77,3H6.29A1.3,1.3,0,0,1,5,1.7a.31.31,0,0,0-.13-.26.31.31,0,0,0-.29-.06L.92,2.43l1.5.79a9.35,9.35,0,0,0,3.86.84h.49a.38.38,0,0,1,0,.75Z"></path><path d="M8.76,4.81H8.29a.38.38,0,1,1,0-.75h.47a9.24,9.24,0,0,0,3.87-.85l1.5-.78L10.45,1.38a.3.3,0,0,0-.27.05.35.35,0,0,0-.13.27A1.3,1.3,0,0,1,8.77,3H8.29a.38.38,0,0,1-.38-.38.37.37,0,0,1,.38-.37h.47A.56.56,0,0,0,9.3,1.7,1.1,1.1,0,0,1,9.72.84a1.08,1.08,0,0,1,.93-.19l3.82,1.1A.7.7,0,0,1,14.61,3L13,3.88A9.92,9.92,0,0,1,8.76,4.81Z"></path><path d="M7.52,13.82a.34.34,0,0,1-.23-.08L6,12.76a1.72,1.72,0,0,1-.61-1.52,1.63,1.63,0,0,1,.77-1.33L9.61,8A.88.88,0,0,0,10,7.33a1.11,1.11,0,0,0-.28-.91l-.33-.29a.38.38,0,1,1,.51-.55l.32.29a1.8,1.8,0,0,1,.52,1.55A1.59,1.59,0,0,1,10,8.65L6.56,10.56a.89.89,0,0,0-.39.74,1,1,0,0,0,.32.87l1.26,1a.39.39,0,0,1,.07.53A.41.41,0,0,1,7.52,13.82Z"></path><path d="M7.53,13.82a.41.41,0,0,1-.3-.14.39.39,0,0,1,.07-.53l1.26-1a1,1,0,0,0,.32-.87.89.89,0,0,0-.39-.74L5.07,8.65a1.62,1.62,0,0,1-.76-1.24,1.82,1.82,0,0,1,.51-1.54l.32-.29a.38.38,0,0,1,.51.55l-.33.3a1.08,1.08,0,0,0-.27.89A.92.92,0,0,0,5.44,8L8.86,9.91a1.63,1.63,0,0,1,.77,1.33A1.72,1.72,0,0,1,9,12.76l-1.26,1A.34.34,0,0,1,7.53,13.82Z"></path><path d="M7.52,15a.37.37,0,0,1-.37-.38V.44A.37.37,0,0,1,7.52.06.38.38,0,0,1,7.9.44V14.57A.38.38,0,0,1,7.52,15Z"></path></svg> </span><a class="site-header__link svelte-5qrmpy" data-link="Health Care" href="https://www.propublica.org/topics/health-care">Health Care</a></li><li class="svelte-5qrmpy"><span class="icon svelte-5qrmpy"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 15 15" fill="currentColor"><title>Politics</title><path d="M12.54,14.89h-10a.38.38,0,0,1-.38-.37V11a.38.38,0,0,1,.38-.38h10a.38.38,0,0,1,.38.38v3.55A.38.38,0,0,1,12.54,14.89Zm-9.66-.75h9.29v-2.8H2.88Z"></path><path d="M14.52,14.89H.53a.38.38,0,0,1,0-.75h14a.38.38,0,0,1,0,.75Z"></path><path d="M11.71,11.35H3.34A.37.37,0,0,1,3,11V8.7a.38.38,0,0,1,.37-.38h8.37a.37.37,0,0,1,.37.38V11A.36.36,0,0,1,11.71,11.35Zm-8-.75h7.61V9.07H3.72Z"></path><path d="M8.36,5.11A.38.38,0,0,1,8,4.73V3.42H7.07V4.73a.38.38,0,1,1-.75,0V3a.37.37,0,0,1,.37-.37H8.36A.37.37,0,0,1,8.73,3V4.73A.38.38,0,0,1,8.36,5.11Z"></path><path d="M3.84,13.79a.38.38,0,0,1-.38-.37V12.25a.38.38,0,0,1,.75,0v1.17A.38.38,0,0,1,3.84,13.79Z"></path><path d="M5.31,13.79a.38.38,0,0,1-.37-.37V12.25a.38.38,0,0,1,.75,0v1.17A.38.38,0,0,1,5.31,13.79Z"></path><path d="M6.79,13.79a.37.37,0,0,1-.37-.37V12.25a.36.36,0,0,1,.37-.37.37.37,0,0,1,.38.37v1.17A.38.38,0,0,1,6.79,13.79Z"></path><path d="M8.27,13.79a.38.38,0,0,1-.38-.37V12.25a.37.37,0,0,1,.38-.37.36.36,0,0,1,.37.37v1.17A.37.37,0,0,1,8.27,13.79Z"></path><path d="M9.75,13.79a.38.38,0,0,1-.38-.37V12.25a.38.38,0,0,1,.75,0v1.17A.38.38,0,0,1,9.75,13.79Z"></path><path d="M11.22,13.79a.38.38,0,0,1-.37-.37V12.25a.38.38,0,0,1,.75,0v1.17A.38.38,0,0,1,11.22,13.79Z"></path><path d="M7.53,3.42A.37.37,0,0,1,7.16,3V.48A.37.37,0,0,1,7.53.11a.38.38,0,0,1,.38.37V3A.38.38,0,0,1,7.53,3.42Z"></path><path d="M11.72,9.06a.38.38,0,0,1-.38-.37A3.74,3.74,0,0,0,7.53,5,3.74,3.74,0,0,0,3.72,8.69a.38.38,0,0,1-.75,0A4.49,4.49,0,0,1,7.53,4.28a4.49,4.49,0,0,1,4.56,4.41A.37.37,0,0,1,11.72,9.06Z"></path></svg> </span><a class="site-header__link svelte-5qrmpy" data-link="Politics" href="https://www.propublica.org/topics/politics">Politics</a></li><li class="svelte-5qrmpy"><span class="icon svelte-5qrmpy"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 15 15" fill="currentColor"><title>Criminal Justice</title><path d="M13.48,4h-.11A20.22,20.22,0,0,0,1.76,4a.38.38,0,0,1-.47-.26.37.37,0,0,1,.25-.46,21,21,0,0,1,12.05,0,.37.37,0,0,1-.11.73Z"></path><path d="M10.53,15h-6a.38.38,0,1,1,0-.75h6a.38.38,0,0,1,0,.75Z"></path><path d="M7.5,15a.37.37,0,0,1-.37-.38V.42A.37.37,0,0,1,7.5,0a.38.38,0,0,1,.38.38V14.6A.38.38,0,0,1,7.5,15Z"></path><path d="M5.39,9.89H.46a.37.37,0,0,1-.31-.16.36.36,0,0,1,0-.35L2.57,3.16a.38.38,0,0,1,.35-.24h0a.38.38,0,0,1,.35.23L5.74,9.38a.36.36,0,0,1,0,.35A.37.37,0,0,1,5.39,9.89ZM1,9.14H4.84L2.92,4.31Z"></path><path d="M14.6,9.89H9.67a.37.37,0,0,1-.31-.16.36.36,0,0,1,0-.35l2.46-6.22a.38.38,0,0,1,.35-.24h0a.37.37,0,0,1,.35.23L15,9.38a.36.36,0,0,1,0,.35A.37.37,0,0,1,14.6,9.89Zm-4.38-.75h3.83L12.13,4.31Z"></path><path d="M2.92,11.75A3,3,0,0,1,.1,9.62a.36.36,0,0,1,.06-.33.38.38,0,0,1,.3-.15H5.39a.38.38,0,0,1,.3.15.39.39,0,0,1,.06.33A3,3,0,0,1,2.92,11.75ZM1,9.89A2.21,2.21,0,0,0,2.92,11,2.22,2.22,0,0,0,4.83,9.89Z"></path><path d="M12.13,11.75A3,3,0,0,1,9.3,9.62a.39.39,0,0,1,.06-.33.38.38,0,0,1,.3-.15h4.93a.38.38,0,0,1,.3.15.36.36,0,0,1,.06.33A3,3,0,0,1,12.13,11.75ZM10.22,9.89a2.19,2.19,0,0,0,3.81,0Z"></path></svg> </span><a class="site-header__link svelte-5qrmpy" data-link="Criminal Justice" href="https://www.propublica.org/topics/criminal-justice">Criminal Justice</a></li><li class="svelte-5qrmpy"><a class="site-header__link svelte-5qrmpy" data-link="more…" href="https://www.propublica.org/topics/">more…</a></li></ul></div><div class="site-header__links site-header__links-region svelte-5qrmpy"><strong class="site-header__links-heading svelte-5qrmpy">Browse by Place</strong><ul class="site-header__links-list svelte-5qrmpy"><li class="svelte-5qrmpy"><a class="site-header__link svelte-5qrmpy" data-link="Midwest" href="https://www.propublica.org/midwest/">Midwest</a></li><li class="svelte-5qrmpy"><a class="site-header__link svelte-5qrmpy" data-link="Northwest" href="https://www.propublica.org/northwest/">Northwest</a></li><li class="svelte-5qrmpy"><a class="site-header__link svelte-5qrmpy" data-link="South" href="https://www.propublica.org/south/">South</a></li><li class="svelte-5qrmpy"><a class="site-header__link svelte-5qrmpy" data-link="Southwest" href="https://www.propublica.org/southwest/">Southwest</a></li><li class="svelte-5qrmpy"><a class="site-header__link svelte-5qrmpy" data-link="Texas" href="https://www.propublica.org/texas/">Texas</a></li></ul></div><div class="site-header__links site-header__links-type svelte-5qrmpy"><strong class="site-header__links-heading svelte-5qrmpy">Type</strong><ul class="site-header__links-list svelte-5qrmpy"><li class="svelte-5qrmpy"><a class="site-header__link svelte-5qrmpy" data-link="Graphics & Data" href="https://www.propublica.org/newsapps/">Graphics & Data</a></li><li class="svelte-5qrmpy"><a class="site-header__link svelte-5qrmpy" data-link="Newsletters" href="https://www.propublica.org/newsletters/">Newsletters</a></li><li class="svelte-5qrmpy"><a class="site-header__link svelte-5qrmpy" data-link="Series" href="https://www.propublica.org/series/">Series</a></li><li class="svelte-5qrmpy"><a class="site-header__link svelte-5qrmpy" data-link="Videos" href="https://www.propublica.org/video/">Videos</a></li></ul></div><div class="site-header__links site-header__links-special svelte-5qrmpy"><ul class="site-header__links-list svelte-5qrmpy"><li class="svelte-5qrmpy"><a class="site-header__link svelte-5qrmpy" data-link="Local Reporting Network" href="https://www.propublica.org/local-reporting-network/">Local Reporting Network</a></li><li class="svelte-5qrmpy"><a class="site-header__link svelte-5qrmpy" data-link="Electionland" href="https://www.propublica.org/electionland/">Electionland</a></li><li class="svelte-5qrmpy"><a class="site-header__link svelte-5qrmpy" data-link="Data Store" href="https://www.propublica.org/datastore/">Data Store</a></li></ul></div><div class="site-header__links site-header__links-info svelte-5qrmpy"><strong class="site-header__links-heading svelte-5qrmpy">Info</strong><ul class="site-header__links-list svelte-5qrmpy"><li class="svelte-5qrmpy"><a class="site-header__link svelte-5qrmpy" data-link="About Us" href="https://www.propublica.org/about/">About Us</a></li><li class="svelte-5qrmpy"><a class="site-header__link svelte-5qrmpy" data-link="Impact" href="https://www.propublica.org/impact/">Impact</a></li><li class="svelte-5qrmpy"><a class="site-header__link svelte-5qrmpy" data-link="Jobs & Fellowships" href="https://www.propublica.org/jobs/">Jobs & Fellowships</a></li><li class="svelte-5qrmpy"><a class="site-header__link svelte-5qrmpy" data-link="Contact Us" href="https://www.propublica.org/contact/">Contact Us</a></li></ul></div><div class="site-header__links site-header__links-follow svelte-5qrmpy"><strong class="site-header__links-heading svelte-5qrmpy" data-svelte-h="svelte-19sje8q">Follow ProPublica</strong><ul class="site-header__links-list site-header__links-list-follow svelte-5qrmpy"><li data-link="Bluesky" class="svelte-5qrmpy"><a href="https://bsky.app/profile/propublica.org" class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: var(--cool-70); --button-border: none; --button-color: white; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="currentColor"><title>Bluesky</title><path d="M5.20079 2.42542C7.95442 4.48593 10.9155 8.67296 12 10.9221C13.0845 8.67768 16.0456 4.49064 18.7992 2.42542C20.7843 0.935439 24 -0.215052 24 3.45332C24 4.18416 23.5804 9.60656 23.3352 10.4883C22.477 13.5437 19.3556 14.3264 16.5784 13.8502C21.4303 14.6753 22.6656 17.4101 19.9969 20.1449C14.9328 25.3409 12.7214 18.8435 12.1556 17.179C12.0754 16.948 12.033 16.8113 12 16.8113C11.967 16.8113 11.9246 16.9527 11.8444 17.179C11.2786 18.8435 9.06248 25.3409 4.00314 20.1449C1.3391 17.4101 2.56974 14.6753 7.42161 13.8502C4.6444 14.3264 1.52299 13.5437 0.669548 10.4836C0.419646 9.60184 0 4.17945 0 3.4486C0 -0.219767 3.21572 0.930724 5.20079 2.4207V2.42542Z"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Bluesky</span></a></li><li data-link="Instagram" class="svelte-5qrmpy"><a href="https://www.instagram.com/propublica" class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: var(--cool-70); --button-border: none; --button-color: white; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="currentColor"><title>Instagram</title><path d="M12,2.32c3.15,0,3.53,0,4.77.07a6.51,6.51,0,0,1,2.19.4,3.58,3.58,0,0,1,1.36.89A3.58,3.58,0,0,1,21.21,5a6.51,6.51,0,0,1,.4,2.19c.06,1.24.07,1.62.07,4.77s0,3.53-.07,4.77a6.51,6.51,0,0,1-.4,2.19A4,4,0,0,1,19,21.21a6.51,6.51,0,0,1-2.19.4c-1.24.06-1.62.07-4.77.07s-3.53,0-4.77-.07A6.51,6.51,0,0,1,5,21.21a3.58,3.58,0,0,1-1.36-.89A3.58,3.58,0,0,1,2.79,19a6.51,6.51,0,0,1-.4-2.19c-.06-1.24-.07-1.62-.07-4.77s0-3.53.07-4.77A6.51,6.51,0,0,1,2.79,5a3.58,3.58,0,0,1,.89-1.36A3.58,3.58,0,0,1,5,2.79a6.51,6.51,0,0,1,2.19-.4c1.24-.06,1.62-.07,4.77-.07M12,.19C8.79.19,8.39.2,7.13.26A8.84,8.84,0,0,0,4.26.81,6,6,0,0,0,.81,4.26,8.84,8.84,0,0,0,.26,7.13C.2,8.39.19,8.79.19,12s0,3.61.07,4.87a8.84,8.84,0,0,0,.55,2.87,6,6,0,0,0,3.45,3.45,8.84,8.84,0,0,0,2.87.55c1.26.06,1.66.07,4.87.07s3.61,0,4.87-.07a8.84,8.84,0,0,0,2.87-.55,6,6,0,0,0,3.45-3.45,8.84,8.84,0,0,0,.55-2.87c.06-1.26.07-1.66.07-4.87s0-3.61-.07-4.87a8.84,8.84,0,0,0-.55-2.87A6,6,0,0,0,19.74.81,8.84,8.84,0,0,0,16.87.26C15.61.2,15.21.19,12,.19Z"></path><path d="M12,5.94A6.06,6.06,0,1,0,18.06,12,6.06,6.06,0,0,0,12,5.94Zm0,10A3.94,3.94,0,1,1,15.94,12,3.95,3.95,0,0,1,12,15.94Z"></path><circle cx="18.3" cy="5.7" r="1.42"></circle></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Instagram</span></a></li><li data-link="Facebook" class="svelte-5qrmpy"><a href="https://www.facebook.com/propublica/" class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: var(--cool-70); --button-border: none; --button-color: white; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="currentColor"><title>Facebook</title><path d="M8.25 14.0297V24H13.6875V14.0297H17.7422L18.5859 9.44531H13.6875V7.82344C13.6875 5.4 14.6391 4.47188 17.0953 4.47188C17.8594 4.47188 18.4734 4.49062 18.8297 4.52812V0.370313C18.1594 0.1875 16.5187 0 15.5719 0C10.5609 0 8.25 2.36719 8.25 7.47187V9.44531H5.15625V14.0297H8.25Z"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Facebook</span></a></li><li data-link="Twitter" class="svelte-5qrmpy"><a href="https://x.com/propublica" class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: var(--cool-70); --button-border: none; --button-color: white; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="currentColor"><title>X</title><path d="M18.2439 2.25H21.5532L14.3251 10.5094L22.8282 21.75H16.172L10.9548 14.9344L4.99229 21.75H1.67822L9.40791 12.9141L1.25635 2.25H8.08135L12.7923 8.47969L18.2439 2.25ZM17.0813 19.7719H18.9142L7.08291 4.125H5.11416L17.0813 19.7719Z"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">(Twitter)</span></a></li><li data-link="YouTube" class="svelte-5qrmpy"><a href="https://www.youtube.com/user/propublica" class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: var(--cool-70); --button-border: none; --button-color: white; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="currentColor"><title>YouTube</title><path d="M24 12C24 20 24 20 12 20C0 20 0 20 0 12C0 4 0 4 12 4C24 4 24 4 24 12ZM16.5 12L9 7.76471V16.2353L16.5 12Z"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">YouTube</span></a></li><li data-link="Threads" class="svelte-5qrmpy"><a href="https://www.threads.net/@propublica" class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: var(--cool-70); --button-border: none; --button-color: white; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="currentColor"><title>Threads</title><path d="M17.0391 11.0484C17.1422 11.0906 17.2359 11.1375 17.3344 11.1797C18.7031 11.8406 19.7063 12.8297 20.2313 14.0578C20.9672 15.7687 21.0375 18.5484 18.8109 20.7703C17.1141 22.4672 15.0469 23.2313 12.1266 23.2547H12.1125C8.82187 23.2313 6.29531 22.125 4.59375 19.9641C3.07969 18.0422 2.30156 15.3656 2.27344 12.0141V12V11.9906C2.29688 8.63906 3.075 5.9625 4.58906 4.04062C6.29063 1.87969 8.82187 0.773438 12.1125 0.75H12.1266C15.4219 0.773438 17.9812 1.875 19.7344 4.02656C20.5969 5.09063 21.2344 6.37031 21.6375 7.85625L19.7438 8.3625C19.4109 7.15312 18.9094 6.12188 18.2344 5.29688C16.8656 3.61875 14.8125 2.75625 12.1172 2.7375C9.44531 2.76094 7.425 3.61875 6.10781 5.2875C4.87969 6.84844 4.24219 9.10781 4.21875 12C4.24219 14.8922 4.87969 17.1516 6.10781 18.7172C7.42031 20.3859 9.44531 21.2438 12.1172 21.2672C14.5266 21.2484 16.1203 20.6766 17.4469 19.35C18.9609 17.8406 18.9328 15.9844 18.45 14.8547C18.1641 14.1891 17.6484 13.6359 16.9547 13.2188C16.7813 14.4797 16.4016 15.4828 15.7969 16.2562C14.9953 17.2781 13.8563 17.8313 12.3891 17.9109C11.2828 17.9719 10.2187 17.7047 9.39375 17.1609C8.41875 16.5141 7.84688 15.5297 7.78594 14.3812C7.66875 12.1172 9.45938 10.4906 12.2484 10.3312C13.2375 10.275 14.1656 10.3172 15.0234 10.4625C14.9109 9.76875 14.6812 9.21563 14.3391 8.8125C13.8703 8.26406 13.1391 7.98281 12.1734 7.97812H12.1406C11.3625 7.97812 10.3125 8.19375 9.64219 9.21094L8.02969 8.10469C8.92969 6.74062 10.3875 5.99063 12.1453 5.99063H12.1828C15.1172 6.00938 16.8656 7.84219 17.0438 11.0391L17.0344 11.0484H17.0391ZM9.72656 14.2734C9.7875 15.45 11.0578 15.9984 12.2859 15.9281C13.4859 15.8625 14.8453 15.3938 15.075 12.4969C14.4563 12.3609 13.7719 12.2906 13.0406 12.2906C12.8156 12.2906 12.5906 12.2953 12.3656 12.3094C10.3547 12.4219 9.68438 13.3969 9.73125 14.2687L9.72656 14.2734Z"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Threads</span></a></li><li data-link="LinkedIn" class="svelte-5qrmpy"><a href="https://www.linkedin.com/company/propublica/posts/" class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: var(--cool-70); --button-border: none; --button-color: white; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg viewBox="0 0 24 24" fill="currentColor" xmlns="http://www.w3.org/2000/svg"><title>LinkedIn</title><path d="M6.65548 8.41229H2.64045C2.46226 8.41229 2.31787 8.55674 2.31787 8.73487V21.6335C2.31787 21.8116 2.46226 21.956 2.64045 21.956H6.65548C6.83368 21.956 6.97806 21.8116 6.97806 21.6335V8.73487C6.97806 8.55674 6.83368 8.41229 6.65548 8.41229Z"></path><path d="M4.64942 2C3.18852 2 2 3.18723 2 4.64652C2 6.10645 3.18852 7.29413 4.64942 7.29413C6.10916 7.29413 7.29671 6.10639 7.29671 4.64652C7.29677 3.18723 6.10916 2 4.64942 2Z"></path><path d="M16.868 8.09167C15.2554 8.09167 14.0634 8.7849 13.3403 9.57258V8.73484C13.3403 8.55671 13.1959 8.41226 13.0177 8.41226H9.17265C8.99445 8.41226 8.85007 8.55671 8.85007 8.73484V21.6334C8.85007 21.8116 8.99445 21.956 9.17265 21.956H13.1789C13.3571 21.956 13.5015 21.8116 13.5015 21.6334V15.2516C13.5015 13.1011 14.0856 12.2633 15.5847 12.2633C17.2174 12.2633 17.3471 13.6064 17.3471 15.3623V21.6335C17.3471 21.8117 17.4915 21.9561 17.6697 21.9561H21.6774C21.8556 21.9561 22 21.8117 22 21.6335V14.5584C22 11.3606 21.3903 8.09167 16.868 8.09167Z"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">LinkedIn</span></a></li><li data-link="RSS" class="svelte-5qrmpy"><a href="https://www.propublica.org/feeds/propublica/main" class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: var(--cool-70); --button-border: none; --button-color: white; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><title>RSS</title><path d="M20 19.6598C20 19.75 19.9642 19.8365 19.9004 19.9002C19.8367 19.964 19.7502 19.9998 19.66 19.9998H17.3401C17.2499 19.9998 17.1635 19.964 17.0997 19.9002C17.0359 19.8365 17.0001 19.75 17.0001 19.6598C17.0022 18.5247 16.8508 17.3945 16.5501 16.3C16.2604 15.2486 15.8334 14.2399 15.2802 13.3001C14.7244 12.3657 14.0524 11.5055 13.2803 10.7402C12.5149 9.96799 11.6548 9.29599 10.7204 8.74024C9.77847 8.19108 8.77037 7.76432 7.72047 7.47029C6.62038 7.16109 5.48333 7.00298 4.3406 7.00031C4.29566 7.00271 4.25076 6.99497 4.20921 6.97766C4.16767 6.96035 4.13055 6.93392 4.10061 6.90032C4.06701 6.87038 4.04058 6.83326 4.02327 6.79172C4.00596 6.75017 3.99822 6.70527 4.00062 6.66033V4.34041C3.99822 4.29547 4.00596 4.25057 4.02327 4.20902C4.04058 4.16748 4.06701 4.13036 4.10061 4.10042C4.13055 4.06682 4.16767 4.04039 4.20921 4.02308C4.25076 4.00577 4.29566 3.99803 4.3406 4.00043C5.746 4.00053 7.14505 4.18886 8.50044 4.56041C9.81129 4.91981 11.0688 5.45106 12.2403 6.14035C13.3965 6.81934 14.4616 7.64258 15.4102 8.59025C16.3578 9.53878 17.1811 10.6039 17.8601 11.7601C18.5494 12.9316 19.0806 14.1891 19.44 15.5C19.8116 16.8554 19.9999 18.2544 20 19.6598ZM15.0002 19.6598C15.0002 19.75 14.9644 19.8365 14.9006 19.9002C14.8369 19.964 14.7504 19.9998 14.6602 19.9998H12.3403C12.2501 19.9998 12.1636 19.964 12.0999 19.9002C12.0361 19.8365 12.0003 19.75 12.0003 19.6598C12.0074 18.6284 11.7997 17.6067 11.3903 16.6599C10.6228 14.8248 9.15935 13.3686 7.32049 12.6101C6.37989 12.2034 5.36534 11.9958 4.3406 12.0001C4.29566 12.0025 4.25076 11.9948 4.20921 11.9775C4.16767 11.9602 4.13055 11.9337 4.10061 11.9001C4.06701 11.8702 4.04058 11.8331 4.02327 11.7915C4.00596 11.75 3.99822 11.7051 4.00062 11.6601V9.34022C3.99822 9.29528 4.00596 9.25037 4.02327 9.20883C4.04058 9.16729 4.06701 9.13017 4.10061 9.10023C4.13055 9.06663 4.16767 9.04019 4.20921 9.02288C4.25076 9.00557 4.29566 8.99783 4.3406 9.00023C5.29329 9.00091 6.24162 9.1287 7.1605 9.38022C8.05554 9.62739 8.91568 9.98691 9.7204 10.4502C10.5061 10.9162 11.2315 11.4771 11.8803 12.1201C12.5233 12.769 13.0842 13.4944 13.5502 14.28C14.0135 15.0847 14.373 15.9449 14.6202 16.8399C14.8717 17.7588 14.9995 18.7071 15.0002 19.6598ZM9.00042 17.4999C9.0038 17.8288 8.94091 18.155 8.81549 18.4591C8.69008 18.7632 8.50471 19.0389 8.27045 19.2698C8.04096 19.506 7.7655 19.6926 7.46109 19.8181C7.15667 19.9437 6.82976 20.0055 6.50052 19.9998C6.17104 20.0073 5.84359 19.9463 5.53891 19.8207C5.23424 19.695 4.95899 19.5074 4.73059 19.2698C4.493 19.0414 4.30543 18.7662 4.17977 18.4615C4.05412 18.1568 3.99311 17.8294 4.00062 17.4999C3.99492 17.1707 4.05675 16.8438 4.1823 16.5393C4.30785 16.2349 4.49445 15.9595 4.73059 15.73C4.9615 15.4957 5.23721 15.3103 5.5413 15.1849C5.84538 15.0595 6.17161 14.9966 6.50052 15C6.82881 14.997 7.15425 15.061 7.45689 15.1883C7.75953 15.3155 8.03297 15.5033 8.26045 15.74C8.49717 15.9675 8.68491 16.2409 8.81215 16.5435C8.9394 16.8462 9.00346 17.1716 9.00042 17.4999Z" fill="currentColor"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">RSS</span></a></li></ul></div></nav></div></div><div class="text-sans warning-banner">The information in this archive of the Data Store is not actively updated. It is provided as a historical snapshot.</div><main class="content" id="main"><article class="newsapp center"><header class="custom-opener size08 center" data-pp-location="article opener"><h1 class="custom-opener__hed">Data Store Archive</h1><h2 class="custom-opener__dek">Browse datasets released between 2013 and 2023.</h2><div class="article-meta-1 article-meta-1--center"><div class="article-meta-1__section-actions article-meta-1__section-actions--center" data-pp-location="story-tools"><script type="application/json" class="svelte-config">{"componentName":"ShareTools","props":{"pageUrl":"https://projects.propublica.org/datastore/","pageTitle":"Data Store Archive — ProPublica"},"contextArray":[]}</script><div class="share-tools" data-pp-click data-pp-location="share tools"><button class="button shape--pill svelte-1qpwxqa" data-pp-skip="false" role="button" aria-haspopup="dialog" aria-expanded="false" data-state="closed" id="h3-y9im-I0" data-melt-popover-trigger="" data-popover-trigger="" style="--button-bg-color: var(--color-neutral-10); --button-border: none; --button-color: var(--color-neutral-70); --button-font-size: var(--scale-2); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><g clip-path="url(#clip0_149_321)"><path fill-rule="evenodd" clip-rule="evenodd" d="M4 11C4.55228 11 5 11.4477 5 12V20C5 20.2652 5.10536 20.5196 5.29289 20.7071C5.48043 20.8946 5.73478 21 6 21H18C18.2652 21 18.5196 20.8946 18.7071 20.7071C18.8946 20.5196 19 20.2652 19 20V12C19 11.4477 19.4477 11 20 11C20.5523 11 21 11.4477 21 12V20C21 20.7957 20.6839 21.5587 20.1213 22.1213C19.5587 22.6839 18.7957 23 18 23H6C5.20435 23 4.44129 22.6839 3.87868 22.1213C3.31607 21.5587 3 20.7956 3 20V12C3 11.4477 3.44772 11 4 11Z" fill="currentColor"></path><path fill-rule="evenodd" clip-rule="evenodd" d="M11.2929 1.29289C11.6834 0.902369 12.3166 0.902369 12.7071 1.29289L16.7071 5.29289C17.0976 5.68342 17.0976 6.31658 16.7071 6.70711C16.3166 7.09763 15.6834 7.09763 15.2929 6.70711L12 3.41421L8.70711 6.70711C8.31658 7.09763 7.68342 7.09763 7.29289 6.70711C6.90237 6.31658 6.90237 5.68342 7.29289 5.29289L11.2929 1.29289Z" fill="currentColor"></path><path fill-rule="evenodd" clip-rule="evenodd" d="M12 1C12.5523 1 13 1.44772 13 2V15C13 15.5523 12.5523 16 12 16C11.4477 16 11 15.5523 11 15V2C11 1.44772 11.4477 1 12 1Z" fill="currentColor"></path></g><defs><clipPath id="clip0_149_321"><rect width="24" height="24" fill="white"></rect></clipPath></defs></svg></span><span class="text font--sans svelte-1qpwxqa">Share</span></button></div><script type="application/json" class="svelte-config">{"componentName":"DarkModeToggle","props":{},"contextArray":[]}</script><div class="dark-mode-toggle svelte-1x7qxk6"><button aria-hidden class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: var(--color-bg); --button-border: 1px solid var(--color-neutral-10); --button-color: var(--color-text-supp); --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: 1.7rem; --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Contrast</title><circle cx="12" cy="12" r="10"></circle><path fill="currentColor" d="M12 18a6 6 0 000-12v12z"></path></svg> </span><span class="text font--sans svelte-1qpwxqa a11y">Change Appearance</span></button> <label class="a11y" for="dark-mode-toggle__select" data-svelte-h="svelte-ku6aby">Change Appearance</label> <select class="dark-mode-toggle__select svelte-1x7qxk6" id="dark-mode-toggle__select" data-pp-change data-pp-category="change-mode"><option value="auto">Auto</option><option value="light">Light</option><option value="dark">Dark</option></select></div></div></div></header><div class="newsapp-body"><p>The ProPublica Data Store is no longer updated. The Data Store was a project to give readers access to the data behind our reporting. Datasets previously available in the Data Store are listed on this page for archival purposes.</p><p>Some free datasets are available for download under our <a href="/datastore/terms/" rel="noopener noreferrer nofollow">terms of use</a>. None of the datasets provided by ProPublica on this page are actively updated (even though some datasets might list a defunct schedule for updates).</p><p>Two types of product are listed on this page:</p><ul><li><a href="#free-datasets">Free datasets</a></li><li><a href="#premium-datasets">Premium datasets</a></li></ul><h2 id="free-datasets" data-section-heading>Free datasets</h2><p>The following datasets are available for free download, according to our <a href="/datastore/terms/" rel="noopener noreferrer nofollow">terms of use</a>.</p><div class="dataset-heading"><h3 id="2016-election-congressional-and-presidential-candidates" class="dataset-heading__title">2016 Election: Congressional and Presidential Candidates</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#2016-election-congressional-and-presidential-candidates","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#2016-election-congressional-and-presidential-candidates</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Federal Election Commission, The Green Papers, Center for Responsive Politics, Google</dd><dt>Date released</dt><dd>November 2016</dd><dt>Dates covered</dt><dd>As of November 3, 2016</dd><dt>Topic</dt><dd>Politics</dd><dt>Terms of Use</dt><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>A listing of active presidential and congressional candidates for 2016, with some additional columns, as of November 3, 2016.</p><details><summary>Learn more about this dataset</summary><p>A listing of active presidential and congressional candidates for 2016, with some additional columns. The basis for this data is <a href="http://www.fec.gov/finance/disclosure/metadata/DataDictionaryCandidateMaster.shtml" target="_blank" rel="noreferrer noopener">the Federal Election Commission’s candidate master file</a>, and includes the columns described there. ProPublica has removed candidates no longer running in the general election, based on fundraising data and <a href="http://www.thegreenpapers.com/G16/" target="_blank" rel="noreferrer noopener">The Green Papers</a>. ProPublica has added a `clean_name` column that converts the candidate name from all-capital letters and makes it more suitable for display. In addition, we’ve added columns with the ID used by the <a href="http://www.opensecrets.org/" target="_blank" rel="noreferrer noopener">Center for Responsive Politics</a> and the ID used by <a href="https://developers.google.com/knowledge-graph/" target="_blank" rel="noreferrer noopener">Google’s Knowledge Graph Search</a>, where available.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/candidates_2016_1103.csv">candidates_2016_1103.csv</a> (169.295 kB)</li></ul><div class="dataset-heading"><h3 id="2018-midterm-election-congressional-candidates" class="dataset-heading__title">2018 Midterm Election Congressional Candidates</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#2018-midterm-election-congressional-candidates","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#2018-midterm-election-congressional-candidates</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Federal Election Commission, The Green Papers, Center for Responsive Politics, Google</dd><dt>Date released</dt><dd>September 2018</dd><dt>Dates covered</dt><dd>As of September 20, 2018</dd><dt>Topic</dt><dd>Politics</dd><dt>Terms of Use</dt><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>A listing of active congressional candidates for the 2018 midterm elections, with some additional columns, as of September 21, 2018.</p><details><summary>Learn more about this dataset</summary><p>A listing of active congressional candidates for the 2018 midterm elections, with some additional columns. The basis for this data is <a href="http://www.fec.gov/finance/disclosure/metadata/DataDictionaryCandidateMaster.shtml" target="_blank" rel="noreferrer noopener">the Federal Election Commission’s candidate master file</a>, and includes the columns described there. ProPublica has removed candidates no longer running in the general election, based on fundraising data and <a href="http://www.thegreenpapers.com/G16/" target="_blank" rel="noreferrer noopener">The Green Papers</a>. ProPublica has added a `clean_name` column that converts the candidate name from all-capital letters and makes it more suitable for display, as well as a `url` column with the candidate's official website. In addition, we’ve added columns with the ID used by the <a href="http://www.opensecrets.org/" target="_blank" rel="noreferrer noopener">Center for Responsive Politics</a> and the ID used by <a href="https://developers.google.com/knowledge-graph/" target="_blank" rel="noreferrer noopener">Google’s Knowledge Graph Search</a>, where available.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/candidates_2018_0921.csv">candidates_2018_0921.csv</a> (179.424 kB)</li></ul><div class="dataset-heading"><h3 id="aca-plan-compare-2014-2015-data" class="dataset-heading__title">ACA Plan Compare Data (2014-2015)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#aca-plan-compare-2014-2015-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#aca-plan-compare-2014-2015-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Centers for Medicare & Medicaid Services</dd><dt>Date released</dt><dd>December 2014</dd><dt>Dates covered</dt><dd>2014-2015</dd><dt>Rows</dt><dd>79279</dd><dt>Topic</dt><dd>Health</dd><dt>Featured use</dt><dd><a href="https://projects.propublica.org/aca-enrollment/">Comparing 2015 Obamacare Plans</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>How is the cost of health insurance changing under the Affordable Care Act? This data compares differences between 2014 and 2015 ACA insurance plans.</p><details><summary>Learn more about this dataset</summary><p>This data compares differences between 2014 and 2015 Affordable Care Act insurance plans. The data comes already joined through a crosswalk file and includes fields that indicate if a plan changed, and by how much. ProPublica used to create the <a href="https://projects.propublica.org/aca-enrollment/" target="_blank" rel="noreferrer noopener">"Will My Obamacare Health Care Costs Go Up?"</a> app.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/aca-compare-20142015.zip">aca-compare-20142015.zip</a> (1.376 MB)</li></ul><div class="dataset-heading"><h3 id="alternative-schools-in-u-s-school-districts" class="dataset-heading__title">Alternative Schools in U.S. School Districts</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#alternative-schools-in-u-s-school-districts","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#alternative-schools-in-u-s-school-districts</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>ProPublica analysis of U.S. Department of Education data</dd><dt>Date released</dt><dd>March 2017</dd><dt>Dates covered</dt><dd>2013-2014 School Year</dd><dt>Rows</dt><dd>1923</dd><dt>Topic</dt><dd>Education</dd><dt>Featured uses</dt><dd><ul><li><a href="https://www.propublica.org/article/alternative-schools-methodology">How We Analyzed Alternative Schools Data</a></li><li><a href="https://www.propublica.org/article/alternative-education-using-charter-schools-hide-dropouts-and-game-system">‘Alternative’ Education: Using Charter Schools to Hide Dropouts and Game the System</a></li><li><a href="https://projects.propublica.org/graphics/alt-schools">Where Alternative School Enrollment May Signal Problems</a></li></ul><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>This data set provides an analysis of disparities between alternative and non-alternative schools across nearly 2,000 school districts.</p><details><summary>Learn more about this dataset</summary><p>Nearly 2,000 school districts in the United States had alternative schools during 2013-14 school year. This data set provides details on the number of students enrolled in alternative schools within each district, as well as comparative metrics on alternative and non-alternative schools within each district, including student-to-teacher ratios, school funding, teacher experience level, access to counseling, graduation rates, and more.</p><p>All data is for the 2013-14 school year unless otherwise noted. The file was created by ProPublica, combining and summarizing several publicly available school-level data sets. Data set does <strong>not</strong> include information about individual schools.</p><p>The federal data used in our analysis relies on reports from states, which in turn often rely on reports from school districts. While the federal data collection efforts include some verification and data cleaning, the data is only as accurate as states’ record-keeping and reporting allows.</p><p>We identified alternative schools using a school type classification from the Common Core of Data (CCD), compiled by the U.S. Department of Education’s National Center for Education Statistics, with a few modifications. Some charter schools are authorized under their own administrative agency or under an agency other than a regular, local school district.</p><p>We reassigned such schools to the district where they are located geographically, to better capture the number of total and alternative students in each district. The reassignment was done using a geographic crosswalk provided by the Stanford Education Data Archive.</p><p>Additional information about using the data is included in the documentation provided with the data download.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/altschools-170316.zip">altschools-170316.zip</a> (223.621 kB)</li></ul><div class="dataset-heading"><h3 id="amazon-pricing-algorithm-data-set" class="dataset-heading__title">Amazon Pricing Data</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#amazon-pricing-algorithm-data-set","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#amazon-pricing-algorithm-data-set</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Amazon, ProPublica</dd><dt>Date released</dt><dd>September 2016</dd><dt>Dates covered</dt><dd>Summer 2016</dd><dt>Rows</dt><dd>6973</dd><dt>Methodology</dt><dd><a href="https://www.propublica.org/article/how-we-analyzed-amazons-shopping-algorithm">How We Analyzed Amazon's Shopping Algorithm</a></dd><dt>Topic</dt><dd>Business</dd><dt>Featured uses</dt><dd><ul><li><a href="https://www.propublica.org/article/amazon-says-it-puts-customers-first-but-its-pricing-algorithm-doesnt">Amazon Says It Puts Customers First. But Its Pricing Algorithm Doesn’t</a></li><li><a href="https://www.propublica.org/article/breaking-the-black-box-when-algorithms-decide-what-you-pay">Breaking the Black Box: When Algorithms Decide What You Pay</a></li></ul><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Data collected by ProPublica on product and shipping costs for 6,973 vendor listings of 250 best-selling products on Amazon.</p><details><summary>Learn more about this dataset</summary><p>ProPublica reporters examined Amazon’s shopping algorithm; we scraped data from the company's website to examine listings for 250 bestselling products across a wide range of categories, from electronics to household supplies, over a period of several weeks during summer 2016. We compared pricing and shipping costs for products offered by multiple vendors, including those sold by Amazon, sellers in the "Fulfilled by Amazon" program. In total, we examined 6,973 vendor listings.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/20160919-Amazon-Ranking-Analysis.csv.zip">20160919-Amazon-Ranking-Analysis.csv.zip</a> (160.107 kB)</li></ul><div class="dataset-heading"><h3 id="audio-crying-children-inside-a-u-s-customs-and-border-protection-facility" class="dataset-heading__title">Audio: Crying Children Inside a U.S. Customs and Border Protection Facility</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#audio-crying-children-inside-a-u-s-customs-and-border-protection-facility","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#audio-crying-children-inside-a-u-s-customs-and-border-protection-facility</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>See story for details</dd><dt>Date released</dt><dd>June 2018</dd><dt>Topic</dt><dd>Politics</dd><dt>Featured use</dt><dd><a href="https://www.propublica.org/article/children-separated-from-parents-border-patrol-cbp-trump-immigration-policy">Listen to Children Who’ve Just Been Separated From Their Parents at the Border</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>ProPublica obtained audio from inside a U.S. Customs and Border Protection facility, in which children can be heard wailing as an agent jokes, “We have an orchestra here.”</p><details><summary>Learn more about this dataset</summary><p>The desperate sobbing of 10 Central American children, separated from their parents one day last week by immigration authorities at the border, makes for excruciating listening. Many of them sound like they’re crying so hard, they can barely breathe. They scream “Mami” and “Papá” over and over again, as if those are the only words they know.</p><p>The baritone voice of a Border Patrol agent booms above the crying. “Well, we have an orchestra here,” he jokes. “What’s missing is a conductor.”</p><p>Then a distraught but determined 6-year-old Salvadoran girl pleads repeatedly for someone to call her aunt. Just one call, she begs anyone who will listen. She says she’s memorized the phone number, and at one point, rattles it off to a consular representative. “My mommy says that I’ll go with my aunt,” she whimpers, “and that she’ll come to pick me up there as quickly as possible.”</p><p><a href="https://www.propublica.org/article/children-separated-from-parents-border-patrol-cbp-trump-immigration-policy" target="_blank" rel="noreferrer noopener">Read the full story here.</a></p><p></p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/Child-Separation-audio-only.mp3">Child-Separation-audio-only.mp3</a> (6.885 MB)</li></ul><div class="dataset-heading"><h3 id="bryan-independent-school-district-office-for-civil-rights-investigation-emails" class="dataset-heading__title">Bryan Independent School District - Office for Civil Rights Investigation Emails</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#bryan-independent-school-district-office-for-civil-rights-investigation-emails","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#bryan-independent-school-district-office-for-civil-rights-investigation-emails</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Bryan Independent School District Public Records Request</dd><dt>Date released</dt><dd>April 2018</dd><dt>Dates covered</dt><dd>September 2013 - January 2018</dd><dt>Rows</dt><dd>~2660 emails, 3 Mbox files</dd><dt>Topic</dt><dd>Education</dd><dt>Featured use</dt><dd><a href="https://www.propublica.org/article/shutdown-of-bryan-texas-schools-probe-shows-trump-administration-pullback-on-civil-rights">Shutdown of Texas Schools Probe Shows Trump Administration Pullback on Civil Rights</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Emails related to an Office for Civil Rights investigation into the Bryan (Texas) Independent School District’s disciplinary practices.</p><details><summary>Learn more about this dataset</summary><p>This data set contains emails received by ProPublica through a public records request to the Bryan (Texas) Independent School District related to an Office for Civil Rights investigation into the school district’s disciplinary practices. About a dozen emails have been removed that contained lists of student names and contact information.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/BryanISDRecords.zip">BryanISDRecords.zip</a> (126.654 MB)</li></ul><div class="dataset-heading"><h3 id="cdc-mortality-data" class="dataset-heading__title">CDC Mortality Data</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#cdc-mortality-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#cdc-mortality-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Centers for Medicare & Medicaid Services</dd><dt>Dates covered</dt><dd>See website</dd><dt>Topic</dt><dd>Health</dd><dt>Featured use</dt><dd><a href="https://www.propublica.org/series/overdose">Overdose</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>The CDC's mortality and cause-of-death data set. ProPublica used this data to report on the dangers of Tylenol overdose.</p><details><summary>Learn more about this dataset</summary><p>The CDC's mortality and cause-of-death data set. ProPublica used this data to report on the dangers of Tylenol overdose.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://www.cdc.gov/nchs/deaths.htm">Download on www.cdc.gov</a></li></ul><div class="dataset-heading"><h3 id="chicago-police-clear-gang-data" class="dataset-heading__title">Chicago Police Department Data on Gang Members</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#chicago-police-clear-gang-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#chicago-police-clear-gang-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Chicago Police Department</dd><dt>Date released</dt><dd>March 2018</dd><dt>Rows</dt><dd>128,000</dd><dt>Topic</dt><dd>Criminal Justice</dd><dt>Featured use</dt><dd><a href="https://www.propublica.org/article/politic-il-insider-chicago-gang-database">Chicago’s gang database is full of errors -- and records we have prove it</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>This dataset contains descriptive information on individuals that the Chicago Police Department has classified as gang members.<br></p><details><summary>Learn more about this dataset</summary><p>This dataset contains descriptive information on individuals that the Chicago Police Department has classified as gang members. There are no names or identification included in the data, but each row includes the gang affiliation, race, age, date of subject’s first arrest or first entry into the data system, and the police beat where the first arrest occurred.</p><p><strong>ProPublica Illinois has identified numerous problems with this data. </strong>Technically, there isn’t a stand-alone list or database of suspected gang members, though police often refer to it that way. The department tracks gang affiliation along with arrest records, reported crimes and other information in a massive data “warehouse” called the Citizen and Law Enforcement Analysis and Reporting (CLEAR) system.</p><p>Officers enter information about everyone who is arrested, as well as many people who are stopped but not charged with a crime. The department’s internal rules for classifying someone as a gang member are fuzzy. If suspects admit they are in a gang or have gang tattoos, that counts. In some instances, police base the decision on what they hear from sources deemed to have given them “reliable information” in the past.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/CPD-Gang-Data-041818.zip">CPD-Gang-Data-041818.zip</a> (7.622 MB)</li></ul><div class="dataset-heading"><h3 id="usda-poultry-plant-salmonella-inspection-data" class="dataset-heading__title">Chicken Checker</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#usda-poultry-plant-salmonella-inspection-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#usda-poultry-plant-salmonella-inspection-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>United States Department of Agriculture Food Safety and Inspection Service</dd><dt>Date released</dt><dd>November 2021</dd><dt>Dates covered</dt><dd>2000-2020</dd><dt>Rows</dt><dd>33,805</dd><dt>Methodology</dt><dd><a href="https://projects.propublica.org/chicken/methodology/">About the data</a></dd><dt>Topic</dt><dd>Health</dd><dt>Featured use</dt><dd><a href="https://projects.propublica.org/chicken/">Chicken Checker</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Data on every salmonella testing sample collected at U.S. poultry processing plants.</p><details><summary>Learn more about this dataset</summary><p>The USDA posts <a href="https://www.fsis.usda.gov/science-data/data-sets-visualizations/laboratory-sampling-data">public data</a> containing the results of every salmonella sample it takes at poultry processing plants nationwide, detailing when it took the sample, what type of poultry it sampled and whether or not it found salmonella. If salmonella was present, the records include information on the type of salmonella found and whether it was resistant to antibiotics.<br></p><p>While the USDA splits these into different files based on type of poultry — for example, ground chicken or whole turkey — and sample date, we combined the data into one file. The USDA uses this information to categorize plants based on whether or not they achieved <a href="https://www.fsis.usda.gov/science-data/data-sets-visualizations/microbiology/microbiological-testing-program-rte-meat-and-2">the agency’s salmonella targets</a>. ProPublica used this sampling dataset to calculate the salmonella positivity rates shown in the <a href="https://projects.propublica.org/chicken/">Chicken Checker</a> app. While our app uses the most recent 52 weeks of data available, we are including all samples that have been available on the app since its publication.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/poultry_data.zip">poultry_data.zip</a> (299.758 kB)</li></ul><div class="dataset-heading"><h3 id="child-abuse-prevention-and-treatment-act-reports-2011-2015" class="dataset-heading__title">Child Abuse Prevention and Treatment Act Reports, 2011-2015</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#child-abuse-prevention-and-treatment-act-reports-2011-2015","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#child-abuse-prevention-and-treatment-act-reports-2011-2015</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>State and county child welfare agencies</dd><dt>Date released</dt><dd>December 2019</dd><dt>Dates covered</dt><dd>2011-2015</dd><dt>Rows</dt><dd>6,511</dd><dt>Topic</dt><dd>Criminal Justice</dd><dt>Provided in collaboration with</dt><dd>The Boston Globe</dd><dt>Featured use</dt><dd><a href="https://projects.propublica.org/graphics/child-abuse">Nobody Knows How Many Kids Die From Maltreatment and Abuse in the U.S.</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>More than 6,500 state-level reports of children who died of abuse or neglect across 38 U.S. states.</p><details><summary>Learn more about this dataset</summary><p>This data set contains more than 6,500 state-level reports of children who died of abuse or neglect across 38 U.S. states. You can also search this data <a href="https://projects.propublica.org/graphics/child-abuse">through our interactive website</a>.</p><p>The Child Abuse Prevention and Treatment Act requires states make available certain information about children who die of abuse or neglect. ProPublica requested this information in all 50 states, and the records contained in this dataset were provided by 38 states and, in three states, individual counties. In some states we have augmented the records with additional information. For example, in Alabama we have procured autopsy records for children whose autopsies were available.</p><p>Upon request, CAPTA requires states to list the age and gender of the child, and information about a household’s prior contact with welfare services. The information is supposed to help government agencies prevent child abuse, neglect and death, but reporting across states is so inconsistent that comparisons and trends are impossible to identify. Some states release more than they are required to, but most do not release enough. Journalists should not use this data to make numerical conclusions about child abuse or neglect.<br></p><p>The free download of this CSV file includes the information publicly available <a href="https://projects.propublica.org/graphics/child-abuse">on our site</a>. Journalists may contact ProPublica at <a href="/cdn-cgi/l/email-protection#8fcccedfdbcecffffde0fffaede3e6eceea1e0fde8"><span class="__cf_email__" data-cfemail="1152504145505161637e6164737d7872703f7e6376">[email protected]</span></a> for a copy of a CSV file containing additional information about each child that can be joined with the free dataset on the column "DBN." The non-public information includes the names of children we believe we’ve identified through news articles, links to relevant news articles, and narrative summaries of their deaths and any previous contact the children had with child welfare services. These should be thoroughly fact checked before publication of the material. Each row in the dataset is one child. If more than one child was killed in a singular incident, each child has his or her own row.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/CAPTA.zip">CAPTA.zip</a> (448.953 kB)</li></ul><div class="dataset-heading"><h3 id="city-of-chicago-camera-tickets-and-warnings-data" class="dataset-heading__title">City of Chicago Camera Tickets and Warnings Data</h3><script data-cfasync="false" src="/cdn-cgi/scripts/5c5dd728/cloudflare-static/email-decode.min.js"></script><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#city-of-chicago-camera-tickets-and-warnings-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#city-of-chicago-camera-tickets-and-warnings-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Chicago Department of Finance</dd><dt>Date released</dt><dd>July 2021</dd><dt>Dates covered</dt><dd>Jan. 1, 2010 to June 13, 2021</dd><dt>Rows</dt><dd>39,387,511</dd><dt>Topic</dt><dd>Transportation</dd><dt>Featured use</dt><dd><a href="https://www.propublica.org/article/chicagos-race-neutral-traffic-cameras-ticket-black-and-latino-drivers-the-most">Chicago’s “Race-Neutral” Traffic Cameras Ticket Black and Latino Drivers the Most</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Information about every red-light and speed camera ticket and warning issued by the City of Chicago from January 1, 2010 to mid-2021.</p><details><summary>Learn more about this dataset</summary><p dir="ltr">This dataset contains information about every ticket and warning issued by the City of Chicago through its red-light and speed camera programs since January 1, 2010.</p><p dir="ltr">Data encompasses red-light tickets given beginning at midnight on Jan. 1, 2010 through late in the evening on June 13, 2021. Speed camera data is from the morning of Oct. 16, 2013, when the program launched, through midday on May 4, 2021. The database contains every ticket that was vetted and sent to the city by the camera operators at the time the data was exported. The red-light and speed camera ticket review processes are separate, which is why this dataset has two end dates.</p><p dir="ltr">ProPublica reporters used this dataset to examine disparities in the city’s camera ticketing program. The reporters found that households in majority-Black and majority-Hispanic ZIP codes were ticketed at higher rates than their majority-white counterparts. Reporters supplemented their analysis with data previously obtained by ProPublica. That data, available <a href="https://www.propublica.org/datastore/dataset/chicago-parking-ticket-data">here</a>, includes red-light camera ticket data from the start of that program in 2003.</p><p dir="ltr">Each data point represents a single ticket or warning issued by the city and contains information about the type of violation, when and where a violation was recorded, the ZIP code of the registered vehicle owner and information about the recent status of the ticket (e.g., whether it was dismissed, paid or connected to a bankruptcy).</p><p dir="ltr">The dataset, which was provided to ProPublica by the Chicago Department of Finance on July 1, 2021, is a snapshot of the city’s camera tickets at that point in time. The status of tickets and amount due were current at the time the database was exported by the city.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/camera_tickets_20210701.zip">camera_tickets_20210701.zip</a> (1.275 GB)</li></ul><div class="dataset-heading"><h3 id="chicago-parking-ticket-data" class="dataset-heading__title">City of Chicago Parking and Camera Ticket Data</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#chicago-parking-ticket-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#chicago-parking-ticket-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Chicago Department of Finance, ProPublica Illinois</dd><dt>Date released</dt><dd>May 2018</dd><dt>Dates covered</dt><dd>1996-2018 (see description for details)</dd><dt>Rows</dt><dd>28,272,580</dd><dt>Topic</dt><dd>Transportation</dd><dt>Provided in collaboration with</dt><dd>WBEZ</dd><dt>Featured uses</dt><dd><ul><li><a href="https://features.propublica.org/driven-into-debt/chicago-ticket-debt-bankruptcy/">How Chicago Ticket Debt Sends Black Motorists Into Bankruptcy</a></li><li><a href="https://www.propublica.org/article/chicago-city-sticker-double-tickets">Three City Sticker Tickets on the Same Car in 90 Minutes?</a></li><li><a href="https://www.propublica.org/article/chicago-vehicle-sticker-law-ticket-price-hike-black-drivers-debt">Chicago Hiked the Cost of Vehicle City Sticker Violations to Boost Revenue. But It’s Driven More Low-Income, Black Motorists Into Debt.</a></li></ul><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>A detailed dataset of parking, vehicle compliance, and camera tickets issued in Chicago. Includes details on when and where tickets were issued, the violation for which the vehicle was cited, payment status and more.</p><details><summary>Learn more about this dataset</summary><p>This dataset provides details on all parking and vehicle compliance tickets issued in Chicago from January 1, 1996 to May 14, 2018. It also includes camera ticket data issued in Chicago from November 1, 2003 to May 3, 2018.<br></p><p>ProPublica Illinois, in collaboration with WBEZ, used this dataset to report on city sticker tickets, which come with the steepest fines of any parking citation and are the largest source of ticket debt in Chicago.</p><p>The data includes information on when, where, and by whom tickets were issued; de-identified license plates; vehicle make; registration zip code; the violation for which the vehicle was cited; the payment status and more. ProPublica Illinois has also added block-level address information to the location where a ticket was issued.</p><p>The City of Chicago has said that an official data dictionary does not exist. Through interviews with finance department officials and other reporting, we have compiled our own version, which is included with the download.<br></p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/il_tickets_04603b0a.zip">il_tickets_04603b0a.zip</a> (6.280 GB)</li></ul><div class="dataset-heading"><h3 id="civilian-complaints-against-new-york-city-police-officers" class="dataset-heading__title">Civilian Complaints Against New York City Police Officers</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#civilian-complaints-against-new-york-city-police-officers","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#civilian-complaints-against-new-york-city-police-officers</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>New York City’s Civilian Complaint Review Board</dd><dt>Date released</dt><dd>July 2020</dd><dt>Dates covered</dt><dd>September 1985 - January 2020</dd><dt>Rows</dt><dd>33,358</dd><dt>Topic</dt><dd>Criminal Justice</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/nypd-ccrb/">The NYPD Files</a></li><li><a href="https://www.propublica.org/article/nypd-civilian-complaint-review-board-editors-note">We’re Publishing Thousands of Police Discipline Records That New York Kept Secret for Decades</a></li></ul><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>A database of more than 12,000 civilian complaints filed against New York City police officers. Includes incidents ranging from September 1985 to January 2020.</p><details><summary>Learn more about this dataset</summary><p>This free download is a database of more than 12,000 civilian complaints filed against New York City police officers.</p><p>After New York state repealed the statute that kept police disciplinary records secret, known as 50-a, ProPublica filed a records request with New York City’s Civilian Complaint Review Board, which investigates complaints by the public about NYPD officers. The board provided us with records about closed cases for every police officer still on the force as of late June 2020 who had at least one substantiated allegation against them. The records span decades, from September 1985 to January 2020.</p><p>We have published, and are releasing for download here, a version of the data that excludes any allegations that investigators concluded did not occur and were deemed unfounded.</p><p>We chose to include the basic information disclosed by the CCRB about allegations that investigators deemed unsubstantiated. Unsubstantiated means the CCRB, which has limited investigative powers, was not able to confirm that the alleged incident happened and that it violated the NYPD’s rules.</p><p>We also chose to include cases where an investigator found that what a civilian alleged did happen but the conduct was allowed by the NYPD’s rules. The Police Department’s guidelines often give officers substantial discretion, particularly around use of force. Those cases are classified as “exonerated.”</p><p>All this information can help readers examine the records of officers who have been the subject of a pattern of complaints.</p><p>Each record in the data lists the name, rank, shield number, and precinct of each officer as of today and at the time of the incident; the age, race and gender of the complainant and the officer; a category describing the alleged misconduct; and whether the CCRB concluded the officers’ conduct violated NYPD rules.</p><p></p><p>Every complaint in the database was fully investigated by the CCRB, which means, among other steps, a civilian provided a sworn statement to investigators. The CCRB was not able to reach conclusions in many cases, in part because the investigators must rely on the NYPD to hand over crucial evidence, such as footage from body-worn cameras. Often, <a href="https://www.propublica.org/article/the-nypd-isnt-giving-critical-bodycam-footage-to-officials-investigating-alleged-abuse">the department is not forthcoming despite</a> a legal <a href="https://www1.nyc.gov/assets/ccrb/downloads/pdf/about_pdf/nyc_ccrb_charter.pdf">duty to cooperate</a> in CCRB investigations. The CCRB gets thousands of complaints per year but substantiates a <a href="https://www.propublica.org/article/my-family-saw-a-police-car-hit-a-kid-on-halloween-then-i-learned-how-nypd-impunity-works">tiny fraction</a> of them. Allegations of criminal conduct by officers are typically investigated not by the CCRB but by state or federal prosecutors in conjunction with the NYPD’s Internal Affairs Bureau or the FBI.</p><p><em>The download includes the information on this page, a layout table and basic glossary for the fields included.</em><br></p><p><strong>Updated 7/27/20</strong>: Download was updated to include expanded documentation and shield numbers.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/CCRB-Complaint-Data_202007271729.zip">CCRB-Complaint-Data_202007271729.zip</a> (810.749 kB)</li></ul><div class="dataset-heading"><h3 id="cancer-clinical-trials-demographics-data" class="dataset-heading__title">Clinical Trials: Participant Demographic Data</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#cancer-clinical-trials-demographics-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#cancer-clinical-trials-demographics-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>U.S. Food and Drug Administration, Drug Trials Snapshots</dd><dt>Date released</dt><dd>August 2018</dd><dt>Dates covered</dt><dd>January 2015 to mid-August 2018</dd><dt>Rows</dt><dd>155</dd><dt>Methodology</dt><dd><a href="https://projects.propublica.org/graphics/cancer-trials-methodology">How We Compared Clinical Trial and Cancer Incidence Data</a></dd><dt>Topic</dt><dd>Health</dd><dt>Featured use</dt><dd><a href="https://www.propublica.org/article/black-patients-miss-out-on-promising-cancer-drugs">Black Patients Miss Out On Promising Cancer Drugs</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>This dataset contains the demographic breakdowns of participants in clinical trials for FDA-approved drugs between January 2015 and June 2018.</p><details><summary>Learn more about this dataset</summary><p>This dataset contains the demographic breakdowns of participants in clinical trials for FDA-approved drugs between January 2015 and June 2018. The FDA has been <a href="https://www.fda.gov/Drugs/InformationOnDrugs/ucm412998.htm">providing demographic reports</a> for each approved drug since January 2015. While the FDA provides summary reports by year, sometimes in PDF format only, this dataset was compiled to include all available data across years in an easily usable format.</p><p>The columns of the dataset include: brand name; drug indication; percentage of women in the clinical trials; percentage of participants by race: white, black or African American, Asian, and other; percentage of participants of Hispanic ethnicity; percentage of participants who are age 65 and older; and year.</p><p>The "Other" race category was used as a catch-all for any of these categories: American Indian/Alaska Native (AI/AN), Native Hawaiian or Other Pacific Islander (NH/OPI), mixed race, multiple races, Unknown, Unreported, and Other. While the FDA also provides these demographic breakdowns by drug, which contains more detailed information, raw numbers for patients, and occasionally disaggregated "Other" categories, we did not include this information here. For individual drugs, the disaggregated "Other" categories are not consistent.</p><p>For drugs approved in 2015 and 2016, percentages for the "Other" category were provided in FDA summary reports. For 2017 drugs, we calculated this percentage by subtracting the other categories from 100%. For 2018 drugs, we manually compiled these percentages from the reports for each individual drug.<br></p><p>The "Hispanic" ethnicity category was not included in the yearly summary reports for 2015 and 2016, although it is sometimes included in individual drug reports. Note that this percentage is one category out of the following: Hispanic, Not Hispanic, and Unknown/Unreported. Also to note is that some drugs report "Hispanic or Latino" whereas others only have "Hispanic."</p><p>ProPublica used this data in our piece about racial representation in cancer clinical trials. We analyzed this data to determine the race distribution of patients in clinical trials for cancer drugs. We also compiled a more detailed dataset, including disaggregated "Other" categories, using the FDA demographic reports specifically for drugs indicated to treat cancer.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/ClinicalTrialsDemographics.zip">ClinicalTrialsDemographics.zip</a> (9.501 kB)</li></ul><div class="dataset-heading"><h3 id="commanders-emergency-response-program-data" class="dataset-heading__title">Commander's Emergency Response Program Data</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#commanders-emergency-response-program-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#commanders-emergency-response-program-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Special Inspector General for Afghanistan Reconstruction</dd><dt>Date released</dt><dd>January 2015</dd><dt>Dates covered</dt><dd>2003-2012</dd><dt>Rows</dt><dd>17958</dd><dt>Topic</dt><dd>Military</dd><dt>Featured use</dt><dd><a href="https://projects.propublica.org/cerp/">How U.S. Commanders Spent $2 Billion of Petty Cash in Afghanistan</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>This dataset contains individual payments totaling $2 billion made by U.S. military commanders to the Afghan people during the Afghanistan war.</p><details><summary>Learn more about this dataset</summary><p>This data contains details on $2 billion in payments made by U.S. military commanders to the Afghan people during the Afghanistan war under the Commander's Emergency Response Program Data. It was released to ProPublica under a Freedom of Information Act. The data was culled from several different databases by the Special Inspector General for Afghanistan Reconstruction (SIGAR).</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/cerp-raw.zip">cerp-raw.zip</a> (19.975 MB)</li></ul><div class="dataset-heading"><h3 id="compas-recidivism-risk-score-data-and-analysis" class="dataset-heading__title">COMPAS Recidivism Risk Score Data and Analysis</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#compas-recidivism-risk-score-data-and-analysis","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#compas-recidivism-risk-score-data-and-analysis</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Broward County Clerk’s Office, Broward County Sherrif's Office, Florida Department of Corrections, ProPublica</dd><dt>Dates covered</dt><dd>2013-2014</dd><dt>Methodology</dt><dd><a href="https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm">How We Analyzed the COMPAS Recidivism Algorithm</a></dd><dt>Topic</dt><dd>Criminal Justice</dd><dt>Featured use</dt><dd><a href="http://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing/">Machine Bias</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl>The data, code, and documentation behind our analysis of Northpointe, Inc.'s COMPAS risk-assessment algorithm for the story, "Machine Bias," by Julia Angwin, Jeff Larson, Surya Mattu and Lauren Kirchner.<details><summary>Learn more about this dataset</summary>Across the nation, judges, probation and parole officers are increasingly using algorithms to assess a criminal defendant’s likelihood to re-offend. There are dozens of these risk assessment algorithms in use, including two leading nationwide tools offered by commercial vendors. Our story, "Machine Bias," set out to assess one of the commercial tools, called COMPAS (which stands for Correctional Offender Management Profiling for Alternative Sanctions), made by Northpointe, Inc. to discover the underlying accuracy of their recidivism algorithm and to test whether the algorithm was biased against certain groups.<br><br>The linked data includes: a database containing the criminal history, jail and prison time, demographics and COMPAS risk scores for defendants from Broward County from 2013 and 2014; code in R and Python; a Jupyter notebook; and other files needed for the analysis.</details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://github.com/propublica/compas-analysis/">Download on github.com</a></li></ul><div class="dataset-heading"><h3 id="federal-judicial-center-data-on-bankrtupcy" class="dataset-heading__title">Consumer Bankruptcy Case Filings</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#federal-judicial-center-data-on-bankrtupcy","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#federal-judicial-center-data-on-bankrtupcy</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Date released</dt><dd>October 2017</dd><dt>Topic</dt><dd>Business</dd><dt>Terms of Use</dt><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Raw data on bankruptcy cases from the Department of Justice, used in ProPublica's analysis of consumer bankruptcy between 2008 and 2015.</p><details><summary>Learn more about this dataset</summary><p>ProPublica's analysis of consumer bankruptcy filings used raw data on bankruptcy cases from the Department of Justice. The data is also <a href="https://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/36489">available through ICPSR</a>. The <a href="https://www.propublica.org/datastore/dataset/national-bankruptcy-chapter-7-13-old">data used for ProPublica's analysis</a> was limited to only cases filed between 2008 and 2015 that included consumer debts and were originally filed under either Chapter 7 or Chapter 13.</p><p><br></p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://www.fjc.gov/research/idb">Download on www.fjc.gov</a></li></ul><div class="dataset-heading"><h3 id="cook-county-commercial-and-industrial-property-tax-assessments" class="dataset-heading__title">Cook County Commercial and Industrial Property Tax Assessments</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#cook-county-commercial-and-industrial-property-tax-assessments","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#cook-county-commercial-and-industrial-property-tax-assessments</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Cook County Assessor's Office</dd><dt>Date released</dt><dd>December 2017</dd><dt>Dates covered</dt><dd>2002-2016</dd><dt>Rows</dt><dd>3.8 million</dd><dt>Topic</dt><dd>Business</dd><dt>Provided in collaboration with</dt><dd>Chicago Tribune</dd><dt>Terms of Use</dt><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>This download includes three different data sets that were provided to ProPublica Illinois and the Chicago Tribune by the Cook County Assessor's Office.</p><details><summary>Learn more about this dataset</summary><p>This download includes three different data sets that were provided to ProPublica Illinois and the Chicago Tribune by the Cook County Assessor's Office. The three datasets are:</p><ul><li>The raw first-pass or initial assessment values and market values for each property, identified only by its Property Index Number (PIN), which is unique for each parcel of property. Covers 2002-2015</li><li>Property assessment data on each PIN that was the subject of an appeal, including property information, as well as initial assessed values, second-pass assessed values, and the final assessed values (incorporating any successful appeals to the Cook County Board of Review), as well as attorney names. Covers 2003-2016.</li><li>The raw final assessed values that were submitted to the Cook County Board of Review by the Cook County Assessor's office for each PIN. Covers 2002-2015.</li></ul><p>The Assessor's Office did not provide documentation.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/propertytaxassessments-opendata.zip">propertytaxassessments-opendata.zip</a> (1.753 GB)</li></ul><div class="dataset-heading"><h3 id="cook-county-regional-gang-intelligence-database" class="dataset-heading__title">Cook County Regional Gang Intelligence Database</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#cook-county-regional-gang-intelligence-database","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#cook-county-regional-gang-intelligence-database</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Cook County Sheriff’s Office</dd><dt>Date released</dt><dd>July 2018</dd><dt>Dates covered</dt><dd>June 2018</dd><dt>Rows</dt><dd>25,063</dd><dt>Topic</dt><dd>Criminal Justice</dd><dt>Featured use</dt><dd><a href="https://www.propublica.org/article/politic-il-insider-additional-gang-databases-illinois-cook-county">Like Chicago Police, Cook County and Illinois Officials Track Thousands of People in Gang Databases</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>A snapshot of the gang database maintained by the sheriff’s office and jail in Cook County, Illinois, along with other law enforcement agencies. Personal identifiers have been removed.</p><details><summary>Learn more about this dataset</summary><p><em>Updated August 8, 2018 </em>This dataset is a snapshot of the gang database maintained by the sheriff’s office and jail in Cook County, Illinois, along with other law enforcement agencies. Names and other personally identifying details have been removed, but the data includes information about the gender, appearance, gang affiliation, zip code, and race of the individuals listed. Additional information is also included, such as whether the individual wears gang colors or has tattoos, has self-identified their gang involvement, is under probation and more.</p><p><br></p><p><br></p><p><br></p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/CCSO_ITU_FOIA_Dumke_06112018_DRAFT_v2.0_Age_questions.xlsx">CCSO_ITU_FOIA_Dumke_06112018_DRAFT_v2.0_Age_questions.xlsx</a> (3.962 MB)</li></ul><div class="dataset-heading"><h3 id="credibly-accused-priests" class="dataset-heading__title">Credibly Accused Priests</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#credibly-accused-priests","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#credibly-accused-priests</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>U.S. Catholic archdiocese, diocese, eparchies and religious orders; ProPublica reporting; Pontifical Yearbook (2019)</dd><dt>Date released</dt><dd>January 2020</dd><dt>Dates covered</dt><dd>2002-2020</dd><dt>Rows</dt><dd>6,754</dd><dt>Methodology</dt><dd><a href="https://www.propublica.org/article/we-assembled-the-only-nationwide-database-of-priests-deemed-credibly-accused-of-abuse-heres-how">We Assembled The Only Nationwide Database of Priests Deemed Credibly Accused of Abuse. Here's How.</a></dd><dt>Topic</dt><dd>Religion</dd><dt>Featured use</dt><dd><a href="https://www.propublica.org/article/catholic-leaders-promised-transparency-about-child-abuse-they-havent-delivered">Catholic Leaders Promised Transparency About Child Abuse. They Haven't Delivered.</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Data on more than 5,800 clergy who have been listed as credibly accused of sexual abuse in reports released by Catholic dioceses and religious orders.</p><details><summary>Learn more about this dataset</summary><p>This dataset contains all of the information included in ProPublica's interactive database that lets users search for <a href="https://projects.propublica.org/credibly-accused/" target="_blank" rel="noreferrer noopener">clergy who have been listed as credibly accused of sexual abuse</a> in reports released by Catholic dioceses and religious orders.<br></p><p>ProPublica combined information from nearly 180 lists into a single database. More than 6,700 names are included, and over 5,800 of them are unique. A little more than half of the people named were listed as being deceased.</p><p>Your download contains two tables. The first contains the names, dioceses, assignment histories, ordination dates, birth years and other information about credibly accused priests and clergy. The second, which can be joined to the first by the diocese id, contains additional information that was collected and reported out from dioceses, including the date of the list release and the Catholic population of the dioceses.</p><p><em>Last updated August 31, 2021.</em></p><p></p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/31-08-credibly-accused.zip">31-08-credibly-accused.zip</a> (633.809 kB)</li></ul><div class="dataset-heading"><h3 id="debt-collection-datasets" class="dataset-heading__title">Debt Collection Datasets</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#debt-collection-datasets","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#debt-collection-datasets</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>ProPublica analysis, state court data (various jurisdictions)</dd><dt>Dates covered</dt><dd>Varies</dd><dt>Rows</dt><dd>Varies</dd><dt>Topics</dt><dd><ul><li>Business</li><li>Finance</li></ul></dd><dt>Featured use</dt><dd><a href="https://www.propublica.org/article/so-sue-them-what-weve-learned-about-the-debt-collection-lawsuit-machine">So Sue Them: What We’ve Learned About the Debt Collection Lawsuit Machine</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>This file contains data from a variety of state courts about how debt collectors and banks have used lawsuits to collect on old debts.</p><details><summary>Learn more about this dataset</summary><p>This file contains data from a variety of state courts about how debt collectors and banks have used lawsuits to collect on old debts. It was used to to create the graphics "So Sue Them: What We've Learned About the Debt Collection Lawsuit Machine," by Paul Kiel and Lena Groeger.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/kiel-groeger-debt-data.zip">kiel-groeger-debt-data.zip</a> (458.565 kB)</li></ul><div class="dataset-heading"><h3 id="defense-environmental-restoration-program-military-cleanup-sites" class="dataset-heading__title">Defense Environmental Restoration Program Sites</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#defense-environmental-restoration-program-military-cleanup-sites","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#defense-environmental-restoration-program-military-cleanup-sites</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>U.S. Department of Defense</dd><dt>Date released</dt><dd>November 2017</dd><dt>Dates covered</dt><dd>Site data as of 2015</dd><dt>Topics</dt><dd><ul><li>Military</li><li>Environment</li></ul></dd><dt>Featured use</dt><dd><a href="https://www.propublica.org/series/bombs-in-our-backyard">Bombs In Our Backyard</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Data on all cleanup efforts administered by the Department of Defense at current and former military locations as of 2015.</p><details><summary>Learn more about this dataset</summary><p>The <a href="http://www.denix.osd.mil/derp/home/">Defense Environmental Restoration Program</a>, which is administered by the Department of Defense, measures and documents cleanup efforts at current and former military locations. These efforts include the cleanup of sites that contain toxic pollutants and contaminants in the soil or water, as well as sites that contain explosives or discarded military munitions.</p><p>This Oracle database, collected under the Defense Environmental Restoration Program, documents the Department of Defense’s cleanup program for active military installations, closed or closing installations and formerly used defense sites. ProPublica obtained this information, last updated in 2015, through a Freedom of Information.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/derp-raw.zip">derp-raw.zip</a> (10.723 MB)</li></ul><div class="dataset-heading"><h3 id="documenting-hate-news-index" class="dataset-heading__title">Documenting Hate News Index (Raw Data)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#documenting-hate-news-index","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#documenting-hate-news-index</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Google News</dd><dt>Date released</dt><dd>August 2017</dd><dt>Dates covered</dt><dd>February 13, 2017 - Present</dd><dt>Rows</dt><dd>Varies</dd><dt>Topic</dt><dd>Criminal Justice</dd><dt>Featured use</dt><dd><a href="https://projects.propublica.org/hate-news-index/">Documenting Hate News Index</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>News stories about hate crimes collected by Google News.</p><details><summary>Learn more about this dataset</summary>This download includes a set of news stories about hate crimes collected by Google News, including the title, date, publisher, location, keywords, and a brief summary of each story. The data is updated weekly.</details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://github.com/GoogleTrends/data/blob/gh-pages/20170816_Documenting_Hate.csv">Download on github.com</a></li></ul><div class="dataset-heading"><h3 id="emergency-rooms-inspections" class="dataset-heading__title">Emergency Rooms, Hospital Inspection Reports</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#emergency-rooms-inspections","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#emergency-rooms-inspections</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Center for Medicare and Medicaid Services</dd><dt>Date released</dt><dd>September 2019</dd><dt>Methodology</dt><dd><a href="https://projects.propublica.org/emergency/data">About ER Inspector's Data</a></dd><dt>Topic</dt><dd>Health</dd><dt>Featured use</dt><dd><a href="https://projects.propublica.org/emergency/">ER Inspector</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>While CMS releases data on all types of hospital violations, ProPublica's ER Inspector specifically pulls out the violations related to ER care. You can see all violations in the raw CMS data.</p><details><summary>Learn more about this dataset</summary><p>While CMS releases data on all types of hospital violations, ProPublica's ER Inspector specifically pulls out the violations related to ER care. You can see all violations in the raw CMS data.</p><p>ER-related violations include those relating to not properly assessing and treating patients, inadequate medical and nursing staff, or not following ER policies and procedures. It also includes violations of the Emergency Medical Treatment and Labor Act (EMTALA), which requires ERs to provide a medical screening examination to anyone who comes to the emergency department, regardless of their ability to pay.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://www.cms.gov/Medicare/Provider-Enrollment-and-Certification/CertificationandComplianc/Hospitals.html">Download on www.cms.gov</a></li></ul><div class="dataset-heading"><h3 id="emergency-rooms-data" class="dataset-heading__title">Emergency Rooms, Timely and Effective Care (Hospital Level Data)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#emergency-rooms-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#emergency-rooms-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Center for Medicare and Medicaid Services</dd><dt>Date released</dt><dd>September 2019</dd><dt>Rows</dt><dd>90,402</dd><dt>Methodology</dt><dd><a href="https://projects.propublica.org/emergency/data">About ER Inspector's Data</a></dd><dt>Topic</dt><dd>Health</dd><dt>Featured use</dt><dd><a href="https://projects.propublica.org/emergency/">ER Inspector</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Much of the data in ProPublica's ER Inspector interactive database comes from CMS's Timely and Effective Care datasets. While ER Inspector only uses hospital level data, it is also provided at the state and national level.</p><details><summary>Learn more about this dataset</summary><p>Much of the data in ProPublica's ER Inspector interactive database comes from CMS's <a href="https://www.medicare.gov/hospitalcompare/About/Timely-Effective-Care.html" target="_blank" rel="noreferrer noopener">Timely and Effective Care</a> datasets. While ER Inspector only uses hospital level data, it is also provided at the <a href="https://data.medicare.gov/Hospital-Compare/Timely-and-Effective-Care-State/apyc-v239" target="_blank" rel="noreferrer noopener">state</a> and <a href="https://data.medicare.gov/Hospital-Compare/Timely-and-Effective-Care-National/isrn-hqyy" target="_blank" rel="noreferrer noopener">national</a> level.</p><p>This data set includes hospital-level data for measures of cataract surgery outcome, colonoscopy follow-up, heart attack care, emergency department care, preventive care, blood clot prevention, pregnancy and delivery care, and cancer care.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://data.medicare.gov/Hospital-Compare/Timely-and-Effective-Care-Hospital/yv7e-xc69">Download on data.medicare.gov</a></li></ul><div class="dataset-heading"><h3 id="facebook-ad-categories" class="dataset-heading__title">Facebook Ad Categories</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#facebook-ad-categories","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#facebook-ad-categories</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>ProPublica, Facebook</dd><dt>Date released</dt><dd>December 2016</dd><dt>Rows</dt><dd>52235 / 29176</dd><dt>Topic</dt><dd>Business</dd><dt>Featured uses</dt><dd><ul><li><a href="https://www.propublica.org/article/facebook-doesnt-tell-users-everything-it-really-knows-about-them">Analyzing Facebook's Ad Categories</a></li><li><a href="https://www.propublica.org/article/breaking-the-black-box-what-facebook-knows-about-you">Breaking the Black Box: Facebook</a></li><li><a href="https://chrome.google.com/webstore/detail/what-facebook-thinks-you/eoknmaajkanapojcdeccofmeimpddoim">Chrome Extension: What Facebook Thinks You Like</a></li></ul><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>A unique data set of Facebook ad groups and interest categories, collected by ProPublica reporters.</p><details><summary>Learn more about this dataset</summary><p>This dataset includes two tables: data on the interest categories Facebook shows to users and the ad groups its shows to advertisers. ProPublica used this data to show that Facebook tells its users a lot of things it knows about them, but not all the things it's selling to advertisers.</p><p>Interest category data was compiled using a Chrome extension, built by ProPublica reporters. The extension showed users the interest categories Facebook assigned to them, and gave users the opportunity to share all of these categories with ProPublica. The data shared did not include any identifiable user information. Through this extension, ProPublica crowdsourced 52,235 unique interest categories.</p><p>The second table contains data scraped from the company's ad buying portal. This table shows what audiences Facebook allows ad buyers to target.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/Facebook-Ad.zip">Facebook-Ad.zip</a> (2.079 MB)</li></ul><div class="dataset-heading"><h3 id="federal-air-marshal-misconduct-database" class="dataset-heading__title">Federal Air Marshal Misconduct Database</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#federal-air-marshal-misconduct-database","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#federal-air-marshal-misconduct-database</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Transportation Security Administration</dd><dt>Date released</dt><dd>February 2016</dd><dt>Dates covered</dt><dd>November 2002 - February 2012</dd><dt>Rows</dt><dd>5214</dd><dt>Topic</dt><dd>Transportation</dd><dt>Featured use</dt><dd><a href="https://www.propublica.org/article/tsa-releases-data-on-air-marshal-misconduct-7-years-after-we-asked">The TSA Releases Data on Air Marshal Misconduct, 7 Years After We Asked</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Information on 5,214 cases of misconduct committed by federal air marshals and how they were disciplined.</p><details><summary>Learn more about this dataset</summary><p>Federal air marshals fly undercover on passenger planes and are trained to intervene in the event of a hijacking. This database contains information on 5,214 cases of misconduct committed by federal air marshals by date and field office and what discipline was meted out in response. The data covers November 2002 to February 2012.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/fams-misconduct.zip">fams-misconduct.zip</a> (180.739 kB)</li></ul><div class="dataset-heading"><h3 id="free-the-files-filing-data" class="dataset-heading__title">Free the Files Filing Data</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#free-the-files-filing-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#free-the-files-filing-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>ProPublica, Federal Communications Commission</dd><dt>Date released</dt><dd>January 2015</dd><dt>Dates covered</dt><dd>2012</dd><dt>Rows</dt><dd>66225</dd><dt>Topic</dt><dd>Politics</dd><dt>Featured use</dt><dd><a href="https://projects.propublica.org/free-the-files/">Help ProPublica Unlock Political Ad Spending</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Data on approximately $1.2 billion in political ad buys in 33 markets during the 2012 election. This data set was created by nearly 1,000 volunteers and curated by ProPublica reporters.</p><details><summary>Learn more about this dataset</summary><p>Data on approximately $1.2 billion in political ad buys in 33 markets during the 2012 election. This data set was created by nearly 1,000 volunteers and curated by ProPublica reporters.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/ftf-all-filings.zip">ftf-all-filings.zip</a> (3.734 MB)</li></ul><div class="dataset-heading"><h3 id="georgia-title-lenders" class="dataset-heading__title">Georgia Title Lenders</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#georgia-title-lenders","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#georgia-title-lenders</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Georgia Department of Revenue, Google Maps, company websites</dd><dt>Date released</dt><dd>November 2022</dd><dt>Dates covered</dt><dd>October 2022</dd><dt>Rows</dt><dd>490</dd><dt>Methodology</dt><dd><a href="https://www.propublica.org/article/title-lenders-trap-georgia-residents-in-debt#title-reporting">How We Measured the Title-Lending Industry in Georgia</a></dd><dt>Topics</dt><dd><ul><li>Business</li><li>Finance</li></ul></dd><dt>Provided in collaboration with</dt><dd>The Current</dd><dt>Featured use</dt><dd><a href="https://www.propublica.org/article/title-lenders-trap-georgia-residents-in-debt">How Title Lenders Trap Poor Americans in Debt With Triple-Digit Interest Rates</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Title lender locations in Georgia</p><details><summary>Learn more about this dataset</summary><p dir="ltr">This data lists the title lenders located in Georgia that were identified by ProPublica and The Current, a nonprofit newsroom based in Savannah, Georgia.</p><p dir="ltr">Title lenders in Georgia are regulated under the state’s pawn shop statutes and licensed at the local level, so there is no official statewide list of storefronts that offer “title pawns.”</p><p dir="ltr">ProPublica and The Current compiled this list using information from Google Maps and corporate websites, along with vehicle lien data from Georgia Department of Revenue’s motor vehicle division. The news organizations also verified locations by calling stores and checking company websites to ensure that they were in operation and issued title pawns. Online-based title lenders are not included.</p><p dir="ltr">Some of the state’s licensed installment lenders offer auto-secured loans; however, these locations were excluded unless they referred to their product specifically as a “title pawn.”</p><p dir="ltr">This data was finalized in October 2022. However, because this list was compiled over the course of several months, it is possible that a limited number of store openings and closures that occurred close to the time of the data’s publication may not be reflected.</p><p dir="ltr">Counties and state legislative districts were added to this data using spatial joins with the U.S. Census Bureau’s TIGER shapefiles and the Atlanta Regional Commission’s Georgia legislative district shapefiles, respectively.</p><p dir="ltr">ProPublica and The Current found that these title lending storefronts are disproportionately located in lower-income ZIP codes and those with higher proportions of people of color.</p><p><br>For more detail on our analysis of the title-lending industry in Georgia, see the <a href="https://www.propublica.org/article/title-lenders-trap-georgia-residents-in-debt">original story</a> and the section at the end titled, “<a href="https://www.propublica.org/article/title-lenders-trap-georgia-residents-in-debt#title-reporting">How We Measured the Title-Lending Industry in Georgia</a>.”</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/GA_title_lenders_20221128.zip">GA_title_lenders_20221128.zip</a> (18.899 kB)</li></ul><div class="dataset-heading"><h3 id="houston-flood-buyouts" class="dataset-heading__title">Harris County Flood Control District Buyout Data</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#houston-flood-buyouts","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#houston-flood-buyouts</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Harris County Flood Control District</dd><dt>Date released</dt><dd>January 2018</dd><dt>Dates covered</dt><dd>1985-2017</dd><dt>Rows</dt><dd>3077</dd><dt>Topic</dt><dd>Environment</dd><dt>Featured use</dt><dd><a href="https://features.propublica.org/houston-buyouts/hurricane-harvey-home-buyouts-harris-county/">Buyouts Won’t Be the Answer for Many Frequent Flooding Victims</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Property buyouts in Harris County made by the Harris County Flood Control District between 1985 and 2017.</p><details><summary>Learn more about this dataset</summary><p>Property buyouts in Harris County made by the Harris County Flood Control District between 1985 and 2017. Columns include buyout program, date executed, purchase amount and ZIP code.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/HCFCD-buyouts-TPIA.zip">HCFCD-buyouts-TPIA.zip</a> (252.645 kB)</li></ul><div class="dataset-heading"><h3 id="hawaii-seawall-exemptions" class="dataset-heading__title">Hawaii Seawall Exemptions</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#hawaii-seawall-exemptions","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#hawaii-seawall-exemptions</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Honolulu Star-Advertiser, Hawaii Department of Land and Natural Resources, City and County of Honolulu, Hawaii Legislature, Maui County, and Kauai County</dd><dt>Date released</dt><dd>December 2020</dd><dt>Dates covered</dt><dd>2000-2020</dd><dt>Rows</dt><dd>230</dd><dt>Topic</dt><dd>Environment</dd><dt>Provided in collaboration with</dt><dd>Honolulu Star-Advertiser</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/hawaii-beach-loss/">Hawaii’s Beaches Are Disappearing</a></li><li><a href="https://www.propublica.org/series/paradise-lost">Paradise Lost</a></li></ul><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Information about properties in Hawaii that received exemptions from local and state laws that bar property owners from building seawalls.</p><details><summary>Learn more about this dataset</summary><p>Hawaii’s beaches are owned by the public, and the government is required to preserve them. So years ago, officials adopted a “no tolerance” policy toward new seawalls, which scientists say are the primary cause of coastal erosion. But over the past two decades, oceanfront property owners across the state have used an array of loopholes in state and county laws to get around that policy, armoring their own properties at the expense of the environment and public shoreline access.</p><p>This dataset contains information about properties that received exemptions from these environmental laws (and were allowed to keep existing shoreline structures or build new ones) between 2000 and 2020, including the type of exemption, the location of the site, the dates of the exemptions, and in some cases the fees paid. ProPublica and the Honolulu Star-Advertiser used the data to create <a href="https://projects.propublica.org/hawaii-beach-loss/">this interactive map</a>.</p><p>The data, which covers more than 230 exemptions, was compiled from public records requests filed with Hawaii’s Department of Land and Natural Resources and the City and County of Honolulu’s Department of Planning and Permitting. The records include state approvals for seawall easements and emergency sandbags, as well as county approvals for new or illegally constructed seawalls.</p><p>Records on seawall easements were compiled from individual paper files archived at the DLNR, as well as annual government reports filed with the Hawaii Legislature. The data for emergency permits was derived from paper files at the DLNR. The City and County of Honolulu, as well as the counties of Maui and Kauai, provided files for shoreline setback variances requested by private property owners seeking approvals for shoreline hardening structures.</p><p>A handful of properties with a known exemption in the past two decades could not be linked up to an address from source documents and were not marked on the map. They are not included in this download.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/hawaii-seawalls-final-data.xlsx">hawaii-seawalls-final-data.xlsx</a> (40.527 kB)</li></ul><div class="dataset-heading"><h3 id="home-price-impact-of-tax-cuts-and-jobs-act-of-2017" class="dataset-heading__title">Home Price Impact of Tax Cuts and Jobs Act of 2017</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#home-price-impact-of-tax-cuts-and-jobs-act-of-2017","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#home-price-impact-of-tax-cuts-and-jobs-act-of-2017</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Moody's Analytics</dd><dt>Date released</dt><dd>October 2019</dd><dt>Dates covered</dt><dd>Based on March 2019 data</dd><dt>Rows</dt><dd>3088</dd><dt>Methodology</dt><dd><a href="https://www.propublica.org/article/trumps-trillion-dollar-hit-to-homeowners#lamle-methodology">How the estimated reductions were calculated</a></dd><dt>Topics</dt><dd><ul><li>Business</li><li>Finance</li></ul></dd><dt>Featured use</dt><dd><a href="https://www.propublica.org/article/trumps-trillion-dollar-hit-to-homeowners">Trump’s Trillion-Dollar Hit to Homeowners</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>A list of the estimated reduction in house values in about 3,000 counties throughout the United States as a result of 2017 policy changes.</p><details><summary>Learn more about this dataset</summary><p>This dataset is a county-by-county list of the estimated reduction in house values in about 3,000 counties throughout the country, as calculated by Mark Zandi, the chief economist of Moody’s Analytics. ProPublica used this data in "<a href="https://www.propublica.org/article/trumps-trillion-dollar-hit-to-homeowners">Trump’s Trillion-Dollar Hit to Homeowners</a>," which highlighted its findings and identified the five counties with the largest estimated reductions: Essex County, New Jersey; Westchester County, New York, suburban New York City; Union County, New Jersey, which is adjacent to Essex County; New York County, the New York City borough of Manhattan; and Lake County, Illinois, suburban Chicago.</p><p>This dataset includes two columns — the county and the estimated percent reduction. To calculate the estimated reduction, Zandi took what financial analysts call the present value of the property tax and mortgage interest deductions that homeowners will lose over seven years (the average duration of a mortgage) because of changes in the tax law and subtracted it from the value of the typical house. That calculates the reduction in each county’s home values below what they would otherwise be. Zandi then adds an additional one percentage point of value shrinkage, which comes from the higher interest rates that he says will result from the higher federal budget deficits caused by the tax bill. He estimates that rates on 10-year Treasury notes, a key benchmark for mortgage rates, will be 0.2% higher than they would otherwise be, which in turn will make mortgage rates 0.2% higher.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/PP-Data-Store-HPI-Impact-of-Tax-Plan.csv">PP-Data-Store-HPI-Impact-of-Tax-Plan.csv</a> (82.765 kB)</li></ul><div class="dataset-heading"><h3 id="hospital-bed-capacity-and-covid-19" class="dataset-heading__title">Hospital Bed Capacity and COVID-19</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#hospital-bed-capacity-and-covid-19","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#hospital-bed-capacity-and-covid-19</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Harvard Global Data Institute</dd><dt>Date released</dt><dd>March 2020</dd><dt>Dates covered</dt><dd>2018</dd><dt>Rows</dt><dd>306</dd><dt>Methodology</dt><dd><a href="https://www.propublica.org/article/methodology-how-propublica-mapped-hospital-capacity-for-coronavirus">How ProPublica Mapped Hospital Capacity for Coronavirus</a></dd><dt>Topic</dt><dd>Health</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/graphics/covid-hospitals">Are Hospitals Near Me Ready for Coronavirus? Here Are Nine Different Scenarios.</a></li><li><a href="https://www.cbsnews.com/news/coronavirus-cases-us-strain-hospital-system-over-capacity-propublica-study/">New coronavirus data projections paint grim picture for U.S. hospitals, potentially "relegating some patients to death"</a></li><li><a href="https://www.nytimes.com/interactive/2020/03/17/upshot/hospital-bed-shortages-coronavirus.html">These Places Could Run Out of Hospital Beds as Coronavirus Spreads</a></li></ul><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>A dataset of hospital bed capacity data for each of 306 U.S. hospital markets, including data for nine different models of COVID-19 infection scenarios.</p><details><summary>Learn more about this dataset</summary><p>A dataset of hospital bed capacity data for each of 306 U.S. hospital markets, including data for nine different models of COVID-19 infection scenarios. The data comes from a team of researchers at the Harvard Global Data Institute. They modeled various scenarios, in which 20%, 40% and 60% of the adult population would be infected with the novel coronavirus, many of whom would have no or few symptoms, and examined whether hospitals had the capacity to handle them if the cases came in over six months, 12 months and 18 months. Hospital bed figures were derived from recent surveys conducted by the American Hospital Association and data compiled by the American Hospital Directory. The data is divided into slightly more than 300 regions, also known as hospital referral regions.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://globalepidemics.org/2020/03/17/caring-for-covid-19-patients/">Download on globalepidemics.org</a></li></ul><div class="dataset-heading"><h3 id="house-office-expenditures" class="dataset-heading__title">House Office Expenditure Data</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#house-office-expenditures","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#house-office-expenditures</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>U.S. House of Representatives Statement of Disbursements</dd><dt>Date released</dt><dd>July 2018</dd><dt>Dates covered</dt><dd>July 2009 - March 2018</dd><dt>Topic</dt><dd>Politics</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/represent/expenditures">House Office Expenditures: What Is It and How Do We Collect The Data?</a></li><li><a href="https://www.propublica.org/article/house-operating-budget-cuts-paving-way-for-more-special-interest-influence">How House Operating Budget Cuts are Paving the Way for More Special Interest Influence</a></li><li><a href="https://www.propublica.org/article/turnover-in-the-house-who-keeps-and-who-loses-the-most-staff">Turnover in the House: Who Keeps — And Who Loses — the Most Staff</a></li></ul><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Data on official spending by the House of Representatives, including lawmakers’ offices, committee offices and administrative offices.</p><details><summary>Learn more about this dataset</summary><p>Members of the House of Representatives get an annual budget for their Washington and district offices, but how they spend it is up to them. Lawmakers are required to report the recipients of their office spending; this data details the official spending done by the House of Representatives, including lawmakers’ offices, committee offices and administrative offices.</p><p>Each quarter we release two CSV files: a summary file listing the office and total amount in one of a number of broad categories and a detail file listing individual recipients and amounts. The data is updated four times a year. You can <a href="https://projects.propublica.org/represent/expenditures">download individual quarterly data on Represent</a>.</p><p>Download all available data from July 2009 through March 2018, complete the form on this page.<br></p><hr><p><strong>Data dictionary</strong></p><p><em>Summary files</em></p><p>BIOGUIDE_ID – the <a href="http://bioguide.congress.gov/biosearch/biosearch.asp">official ID</a> of members of the House<br>OFFICE – the name of the House office<br>YEAR – the calendar year<br>QUARTER – the quarter of the year<br>CATEGORY – broad description of spending<br>YTD – year to date amount spent by office in that category<br>AMOUNT – amount spent by office in that category in quarter</p><p><em>Detail files</em></p><p>Has BIOGUIDE, OFFICE, QUARTER, YEAR, CATEGORY, AMOUNT, plus:</p><p>PAYEE – name of recipient<br>PURPOSE – specific purpose of spending<br>DATE - date of payment (optional)<br>START DATE – beginning of period which payment covers<br>END DATE – end of period which payment covers<br>TRANSCODE – House transaction code<br>TRANSCODELONG – description of House transaction code<br>RECORDID – House record number<br>RECIP (orig.) - original (non standardized) recipient</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/house-office-expenditures-with-readme.zip">house-office-expenditures-with-readme.zip</a> (74.257 MB)</li></ul><div class="dataset-heading"><h3 id="immigration-and-customs-enforcement-arrest-data-2013-2017" class="dataset-heading__title">Immigration and Customs Enforcement Arrest Data (2013-2017)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#immigration-and-customs-enforcement-arrest-data-2013-2017","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#immigration-and-customs-enforcement-arrest-data-2013-2017</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Immigrations and Customs Enforcement</dd><dt>Date released</dt><dd>April 2018</dd><dt>Dates covered</dt><dd>2013-2017</dd><dt>Rows</dt><dd>Varies</dd><dt>Topics</dt><dd><ul><li>Criminal Justice</li><li>Politics</li></ul></dd><dt>Featured use</dt><dd><a href="https://www.propublica.org/article/pennsylvania-ice-undocumented-immigrants-immigration-enforcement">In Pennsylvania, It’s Open Season on Undocumented Immigrants</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>This data set provides summary statistics, broken down by region, on the number and type of administrative arrests made by Immigrations and Customs Enforcement.</p><details><summary>Learn more about this dataset</summary><p>This download includes summary statistics on the number of administrative arrests of criminal and non-criminal individuals made by Immigrations and Customs Enforcement (ICE) Enforcement and Removal Operations (ERO) by region (Area of Responsibility). Includes three files with data on:</p><ul><li>ERO At-Large Administrative Arrests for fiscal years January 1, 2013 - July 15, 2017.</li><li>ERO At-Large Administrative Arrests (July-November 2017)</li><li>ERO Administrative and At-Large Administrative Arrests (October 2017-December 2017)</li></ul></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/ICEarrestdata.zip">ICEarrestdata.zip</a> (845.305 kB)</li></ul><div class="dataset-heading"><h3 id="interim-covid-19-vaccine-distribution-plans" class="dataset-heading__title">Interim COVID-19 Vaccine Distribution Plans</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#interim-covid-19-vaccine-distribution-plans","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#interim-covid-19-vaccine-distribution-plans</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Various health departments</dd><dt>Date released</dt><dd>November 2020</dd><dt>Dates covered</dt><dd>Plans released between 10/16/20-11/10/20</dd><dt>Topic</dt><dd>Health</dd><dt>Featured use</dt><dd><a href="https://www.propublica.org/article/most-states-arent-ready-to-distribute-the-leading-covid-19-vaccine">Most States Aren’t Ready to Distribute the Leading COVID-19 Vaccine</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>A combined download of all of the draft plans for distribution of a COVID-19 vaccine released by states, territories and metro areas in response to a CDC request.</p><details><summary>Learn more about this dataset</summary><p>The Centers for Disease Control and Prevention required 64 jurisdictions — including all 50 states, eight territories and six metropolitan areas — to submit plans for how they would distribute a COVID-19 vaccine. The first drafts of these plans were due by Oct. 16, 2020, and many states have posted them online. ProPublica has gathered available draft plans together in this repository. <strong>States will likely continue to update their plans beyond the versions available here. </strong>You can read about these plans and how states have prepared for a potential vaccine <a href="https://www.propublica.org/article/most-states-arent-ready-to-distribute-the-leading-covid-19-vaccine">here</a>. <em>Last updated Nov. 10, 2020</em></p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/plans.zip">plans.zip</a> (150.805 MB)</li></ul><div class="dataset-heading"><h3 id="irs-audit-rates-by-county" class="dataset-heading__title">IRS Audit Rates by County</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#irs-audit-rates-by-county","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#irs-audit-rates-by-county</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Kim M. Bloomquist, IRS website</dd><dt>Date released</dt><dd>April 2019</dd><dt>Dates covered</dt><dd>2012-2015</dd><dt>Rows</dt><dd>3141</dd><dt>Methodology</dt><dd><a href="https://github.com/propublica/auditData">Github Repo for IRS Audit Rates by County</a></dd><dt>Topic</dt><dd>Finance</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/graphics/eitc-audit">Where in The U.S. Are You Most Likely to Be Audited by the IRS?</a></li><li><a href="https://www.propublica.org/series/gutting-the-irs">Gutting the IRS</a></li></ul><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>This data set contains the total number of income tax filings and the estimated number of audits per county, for the combined tax years 2012-15.</p><details><summary>Learn more about this dataset</summary><p>The earned income tax credit, or EITC, is a program designed to help boost low-income workers out of poverty. In response to pressure from congressional Republicans to root out incorrect payments of the credit, the IRS audits EITC recipients at <a href="https://www.propublica.org/article/earned-income-tax-credit-irs-audit-working-poor">higher rates than all but the richest Americans</a>.</p><p>Kim M. Bloomquist, who served as a senior economist with the IRS’ research division for two decades, decided to map the distribution of audits to illustrate the dramatic regional effects of the agency’s emphasis on EITC recipients. In a study first published in <a href="https://www.taxnotes.com/tax-notes-today/audits/regional-bias-irs-audit-selection/2019/03/19/2957w">Tax Notes</a>, he found that because more than a third of all audits are of EITC recipients, the number of audits in each county is largely a reflection of how many taxpayers there claimed the credit.</p><p>The included data covers the total number of income tax filings and the estimated number of audits per county, for the combined tax years 2012-15.</p><p>The data is also available, along with our analysis scripts, <a href="https://github.com/propublica/auditData">on Github</a>.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/auditsData_20190403.zip">auditsData_20190403.zip</a> (82.902 kB)</li></ul><div class="dataset-heading"><h3 id="leads-gang-file-summary-data" class="dataset-heading__title">LEADS Gang File Summary Data</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#leads-gang-file-summary-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#leads-gang-file-summary-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Illinois State Police</dd><dt>Date released</dt><dd>July 2018</dd><dt>Dates covered</dt><dd>1993 to 2018</dd><dt>Rows</dt><dd>177</dd><dt>Topic</dt><dd>Criminal Justice</dd><dt>Featured use</dt><dd><a href="https://www.propublica.org/article/politic-il-insider-additional-gang-databases-illinois-cook-county">Like Chicago Police, Cook County and Illinois Officials Track Thousands of People in Gang Databases</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Counts of individuals added into the LEADS (Law Enforcement Agencies Data System) Gang File by Illinois state and local police in each year since 1993.</p><details><summary>Learn more about this dataset</summary><p>This dataset provides counts of the number of people entered into the LEADS (Law Enforcement Agencies Data System) Gang File by Illinois state and local police in each year since 1993. Race and gender totals are also included for each year.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/18-1942-StatewideGangs-7_16_2018.xlsx">18-1942-StatewideGangs-7_16_2018.xlsx</a> (12.286 kB)</li></ul><div class="dataset-heading"><h3 id="los-angeles-county-sheriffs-deputy-contacts-in-lancaster" class="dataset-heading__title">Los Angeles County Sheriff’s Deputy Contacts in Lancaster</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#los-angeles-county-sheriffs-deputy-contacts-in-lancaster","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#los-angeles-county-sheriffs-deputy-contacts-in-lancaster</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Los Angeles County Sheriff’s Department</dd><dt>Date released</dt><dd>February 2021</dd><dt>Dates covered</dt><dd>January 2019 to December 2019</dd><dt>Rows</dt><dd>3,854</dd><dt>Methodology</dt><dd><a href="https://www.propublica.org/article/in-a-california-desert-sheriffs-deputies-settle-schoolyard-disputes-black-teens-bear-the-brunt#about-the-data-how-we-analyzed-police-contacts-in-lancaster">About the Data</a></dd><dt>Topics</dt><dd><ul><li>Criminal Justice</li><li>Education</li></ul></dd><dt>Provided in collaboration with</dt><dd>KPCC/LAist</dd><dt>Featured use</dt><dd><a href="https://www.propublica.org/article/in-a-california-desert-sheriffs-deputies-settle-schoolyard-disputes-black-teens-bear-the-brunt">In a California Desert, Sheriff’s Deputies Settle Schoolyard Disputes. Black Teens Bear the Brunt.</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>A dataset of contacts with Los Angeles County sheriff’s deputies in Lancaster, Calif., during the 2019 calendar year.</p><details><summary>Learn more about this dataset</summary><p>This data covers contacts with Los Angeles County sheriff’s deputies in Lancaster, California, during the 2019 calendar year.<br></p><p>ProPublica’s analysis found that of the contacts taking place in Lancaster that were listed as having “reasonable suspicion that the person was engaged in criminal activity” as the basis for the contact, a large number took place at Antelope Valley Unified High School District campuses. We also found that the contacts disproportionately involved Black teens.</p><p>We obtained raw data describing Los Angeles County Sheriff’s deputies’ contacts from the County of Los Angeles’ open data portal. The data describes all <a href="https://data.lacounty.gov/Public-Safety/LASD-Officer-Contacts-Incident-Details/mwug-nk2r">incidents</a> where at least one person was detained or arrested, as well as details about each <a href="https://data.lacounty.gov/Public-Safety/LASD-Officer-Contacts-Person-Details/wraf-ix3i">person</a> involved in these contacts. To assess where contacts with deputies were taking place, ProPublica cleaned and geocoded the addresses reported for each contact. Contacts at schools were established based on the geocoded addresses and campus footprints obtained from Python library OSMnx. A field in the data indicating whether the contact took place at a K-12 school was not reliably populated, but we have added two columns specifying whether a contact took place at an AVUHSD school campus, and, if so, the name of the campus.</p><p>The <a href="https://www.propublica.org/article/in-a-california-desert-sheriffs-deputies-settle-schoolyard-disputes-black-teens-bear-the-brunt#about-the-data-how-we-analyzed-police-contacts-in-lancaster">“About the Data” section of the article</a> provides more detail on our analysis.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/AV_data.zip">AV_data.zip</a> (345.189 kB)</li></ul><div class="dataset-heading"><h3 id="medicare-part-b-provider-utilization-and-payment-data" class="dataset-heading__title">Medicare Part B Provider Utilization and Payment Data</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#medicare-part-b-provider-utilization-and-payment-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#medicare-part-b-provider-utilization-and-payment-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Centers for Medicare & Medicaid Services</dd><dt>Date released</dt><dd>May 2016</dd><dt>Dates covered</dt><dd>2012-2014</dd><dt>Topic</dt><dd>Health</dd><dt>Featured use</dt><dd><a href="https://projects.propublica.org/treatment/">Treatment Tracker</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>This data documents Medicare’s Part B program and the individual doctors and other health professionals serving more than 33 million seniors and disabled.</p><details><summary>Learn more about this dataset</summary><p>This data documents Medicare’s Part B program and the individual doctors and other health professionals serving more than 33 million seniors and disabled. The data includes all services performed by doctors 11 or more times that year to Part B patients. ProPublica uses this data to create the <a href="https://projects.propublica.org/treatment" target="_blank" rel="noreferrer noopener">Treatment Tracker</a> app and stories.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="http://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/Medicare-Provider-Charge-Data/Physician-and-Other-Supplier.html">Download on www.cms.gov</a></li></ul><div class="dataset-heading"><h3 id="medicare-part-d-hepatitis-c-prescribing-data-2014" class="dataset-heading__title">Medicare Part D Hepatitis C Prescribing Data (2014)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#medicare-part-d-hepatitis-c-prescribing-data-2014","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#medicare-part-d-hepatitis-c-prescribing-data-2014</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Centers for Medicare & Medicaid Services</dd><dt>Date released</dt><dd>March 2015</dd><dt>Dates covered</dt><dd>2013-2014</dd><dt>Rows</dt><dd>6805</dd><dt>Topic</dt><dd>Health</dd><dt>Featured use</dt><dd><a href="http://www.propublica.org/article/cost-of-a-cure-medicare-spent-4.5-billion-on-hepatitis-c-drugs-last-year">The Cost of a Cure: Medicare Spent $4.5 Billion on New Hepatitis C Drugs Last Year</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Medicare Part D prescription data for Hepatitis C drugs in 2014.</p><details><summary>Learn more about this dataset</summary><p>Medicare Part D prescription data for Hepatitis C drugs in 2014. This data set shows the 15 fold increased in Medicare’s spending on drugs to treat hepatitis C. The drugs cure the disease, but taxpayers are footing the bill.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/hepc-prescribers.zip">hepc-prescribers.zip</a> (80.703 kB)</li></ul><div class="dataset-heading"><h3 id="medicare-part-d-prescribing-data-2010" class="dataset-heading__title">Medicare Part D Prescribing Data (2010)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#medicare-part-d-prescribing-data-2010","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#medicare-part-d-prescribing-data-2010</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Centers for Medicare & Medicaid Services</dd><dt>Dates covered</dt><dd>2010</dd><dt>Rows</dt><dd>20758453</dd><dt>Topic</dt><dd>Health</dd><dt>Terms of Use</dt><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>A detailed data set of prescriptions written by providers under the Medicare Part D program, including all drugs prescribed to Part D patients 11 or more times during 2010.</p><details><summary>Learn more about this dataset</summary><p>This is the Medicare Part D prescription data for 2010. The data include all drugs prescribed by doctors 11 or more times that year to Part D patients, including those 65 and older. A lookup file is provided to match unique prescriber ID to a practitioner's DEA or NPI number or other identifier.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/part-d-2010.zip">part-d-2010.zip</a> (515.986 MB)</li></ul><div class="dataset-heading"><h3 id="medicare-part-d-prescribing-data-2011" class="dataset-heading__title">Medicare Part D Prescribing Data (2011)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#medicare-part-d-prescribing-data-2011","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#medicare-part-d-prescribing-data-2011</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Centers for Medicare & Medicaid Services</dd><dt>Dates covered</dt><dd>2011</dd><dt>Rows</dt><dd>21150242</dd><dt>Topic</dt><dd>Health</dd><dt>Terms of Use</dt><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>A detailed data set of prescriptions written by providers under the Medicare Part D program, including all drugs prescribed to Part D patients 11 or more times during 2011.</p><details><summary>Learn more about this dataset</summary><p>This is the Medicare Part D prescription data for 2011. The data include all drugs prescribed by doctors 11 or more times that year to Part D patients, including those 65 and older. A lookup file is provided to match unique prescriber ID to a practitioner's DEA or NPI number or other identifier.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/part-d-2011.zip">part-d-2011.zip</a> (480.576 MB)</li></ul><div class="dataset-heading"><h3 id="medicare-part-d-prescribing-data-2012" class="dataset-heading__title">Medicare Part D Prescribing Data (2012)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#medicare-part-d-prescribing-data-2012","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#medicare-part-d-prescribing-data-2012</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Centers for Medicare & Medicaid Services</dd><dt>Dates covered</dt><dd>2012</dd><dt>Rows</dt><dd>21970751</dd><dt>Topic</dt><dd>Health</dd><dt>Terms of Use</dt><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>A detailed data set of prescriptions written by providers under the Medicare Part D program, including all drugs prescribed to Part D patients 11 or more times during 2012.</p><details><summary>Learn more about this dataset</summary><p>This is the Medicare Part D prescription data for 2012. The data include all drugs prescribed by doctors 11 or more times that year to Part D patients, including those 65 and older. A lookup file is provided to match unique prescriber ID to a practitioner's DEA or NPI number or other identifier.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/part-d-2012.zip">part-d-2012.zip</a> (583.054 MB)</li></ul><div class="dataset-heading"><h3 id="medicare-part-d-prescribing-data-2013" class="dataset-heading__title">Medicare Part D Prescribing Data (2013)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#medicare-part-d-prescribing-data-2013","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#medicare-part-d-prescribing-data-2013</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Centers for Medicare & Medicaid Services</dd><dt>Dates covered</dt><dd>2013</dd><dt>Rows</dt><dd>21970751</dd><dt>Topic</dt><dd>Health</dd><dt>Terms of Use</dt><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>This is the Medicare Part D prescription data for 2012. The data include all drugs prescribed by doctors 11 or more times that year to Part D patients, including those 65 and older.</p><details><summary>Learn more about this dataset</summary><p>This is the Medicare Part D prescription data for 2012. The data include all drugs prescribed by doctors 11 or more times that year to Part D patients, including those 65 and older.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="http://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/Medicare-Provider-Charge-Data/Part-D-Prescriber.html">Download on www.cms.gov</a></li></ul><div class="dataset-heading"><h3 id="medicare-part-d-prescribing-data-2016" class="dataset-heading__title">Medicare Part D Prescribing Data (2016)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#medicare-part-d-prescribing-data-2016","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#medicare-part-d-prescribing-data-2016</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Centers for Medicare & Medicaid Services</dd><dt>Date released</dt><dd>November 2018</dd><dt>Dates covered</dt><dd>2016</dd><dt>Topic</dt><dd>Health</dd><dt>Terms of Use</dt><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>This is the Medicare Part D prescription data for 2016. The data includes all drugs prescribed by doctors 11 or more times that year to Part D patients, including those 65 and older.</p><details><summary>Learn more about this dataset</summary><p>This is the Medicare Part D prescription data for 2016. The data include all drugs prescribed by doctors 11 or more times that year to Part D patients, including those 65 and older.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/Medicare-Provider-Charge-Data/PartD2016">Download on www.cms.gov</a></li></ul><div class="dataset-heading"><h3 id="medicare-part-d-prescribing-data-2011-seniors-1" class="dataset-heading__title">Medicare Part D Prescribing Data, Patients 65 or Older (2011)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#medicare-part-d-prescribing-data-2011-seniors-1","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#medicare-part-d-prescribing-data-2011-seniors-1</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Centers for Medicare & Medicaid Services</dd><dt>Dates covered</dt><dd>2011</dd><dt>Rows</dt><dd>16366282</dd><dt>Topic</dt><dd>Health</dd><dt>Terms of Use</dt><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>A detailed data set of Medicare Part D prescriptions written only for patients 65 or older in 2011. The data include all drugs prescribed by doctors 11 or more times to these patients in 2012. A lookup file is provided to match unique prescriber ID to a practitioner's DEA or NPI number or other identifier.</p><details><summary>Learn more about this dataset</summary><p>This is a subset of the Medicare Part D prescription data for 2011. The data include all drugs prescribed by doctors 11 or more times that year to Part D patients who were 65 and older. A lookup file is provided to match unique prescriber ID to a practitioner's DEA or NPI number or other identifier.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/part-d-2011-65.zip">part-d-2011-65.zip</a> (373.283 MB)</li></ul><div class="dataset-heading"><h3 id="medicare-part-d-prescribing-data-2012-seniors" class="dataset-heading__title">Medicare Part D Prescribing Data, Patients 65 or Older (2012)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#medicare-part-d-prescribing-data-2012-seniors","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#medicare-part-d-prescribing-data-2012-seniors</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Centers for Medicare & Medicaid Services</dd><dt>Dates covered</dt><dd>2012</dd><dt>Rows</dt><dd>16966011</dd><dt>Topic</dt><dd>Health</dd><dt>Terms of Use</dt><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>A detailed data set of Medicare Part D prescriptions written only for patients 65 or older in 2012. The data include all drugs prescribed by doctors 11 or more times to these patients in 2012. A lookup file is provided to match unique prescriber ID to a practitioner's DEA or NPI number or other identifier.</p><details><summary>Learn more about this dataset</summary><p>This is a subset of the Medicare Part D prescription data for 2012. The data include all drugs prescribed by doctors 11 or more times that year to Part D patients who were 65 and older. A lookup file is provided to match unique prescriber ID to a practitioner's DEA or NPI number or other identifier.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/part-d-65-2012.zip">part-d-65-2012.zip</a> (391.714 MB)</li></ul><div class="dataset-heading"><h3 id="new-jersey-public-sector-contracts" class="dataset-heading__title">New Jersey Public Sector Contracts</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#new-jersey-public-sector-contracts","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#new-jersey-public-sector-contracts</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>New Jersey Public Employment Relations Commission</dd><dt>Date released</dt><dd>July 2020</dd><dt>Rows</dt><dd>6,366</dd><dt>Topics</dt><dd><ul><li>Criminal Justice</li><li>Finance</li></ul></dd><dt>Featured use</dt><dd><a href="https://www.propublica.org/article/new-jersey-police-contracts">New Jersey Public Employment Relations Commission</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>This data set includes all public sector contracts filed with the New Jersey Public Employment Relations Commission (PERC)</p><details><summary>Learn more about this dataset</summary><p>This data set includes all public sector contracts (including police union contracts) filed with the New Jersey Public Employment Relations Commission (PERC). State law provides that public employers shall “file with the commission a copy of any contracts negotiated with public employee representatives following consummation of negotiations.” This requirement applies to all public sector employers in New Jersey, including police and firefighting departments, school districts, etc. As of July 2020, there were 6,366 contracts in this data set. It is updated regularly.</p><p>Some of the contracts in this data set, <a href="https://beta.documentcloud.org/app?q=project%3Anj-perc-2019-present-201697%20sort%3Atitle%20" target="_blank" rel="noreferrer noopener">available here</a>, were used in <a href="https://www.propublica.org/article/new-jersey-police-contracts">reporting on police contracts by the Asbury Park Press and ProPublica</a>.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://www.perc.state.nj.us/publicsectorcontracts.nsf">Download on www.perc.state.nj.us</a></li></ul><div class="dataset-heading"><h3 id="new-mexico-school-discipline" class="dataset-heading__title">New Mexico School Discipline</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#new-mexico-school-discipline","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#new-mexico-school-discipline</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>New Mexico Public Education Department</dd><dt>Date released</dt><dd>February 2023</dd><dt>Dates covered</dt><dd>2010-2022</dd><dt>Rows</dt><dd>285,917 discipline records</dd><dt>Methodology</dt><dd><a href="https://www.propublica.org/article/how-we-analyzed-new-mexico-school-discipline-data">How We Found the School District Responsible for Much of New Mexico’s Outsized Discipline of Native Students</a></dd><dt>Topics</dt><dd><ul><li>Criminal Justice</li><li>Education</li></ul></dd><dt>Provided in collaboration with</dt><dd>New Mexico In Depth</dd><dt>Featured use</dt><dd><a href="https://www.propublica.org/article/gallup-mckinley-schools-native-student-discipline">This School District Is Ground Zero for Harsh Discipline of Native Students in New Mexico</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>This data includes all disciplinary incidents reported by school districts in New Mexico to the state’s Public Education Department, as well as district-level enrollment figures.</p><details><summary>Learn more about this dataset</summary><p dir="ltr">This includes two types of data: discipline and enrollment.</p><p dir="ltr"><strong><br></strong></p><p dir="ltr"><strong>Discipline Data</strong><br><br>This data includes all disciplinary incidents reported by school districts in New Mexico to the state’s Public Education Department. In working with this data, we found it to have several limitations, which we note here. We also recommend reading the <a href="https://www.propublica.org/article/how-we-analyzed-new-mexico-school-discipline-data">methodology</a> post that was published along with the <a href="https://www.propublica.org/article/gallup-mckinley-schools-native-student-discipline">story</a>.</p><p dir="ltr">The data was extracted from the state’s public schools database, called the Student Teacher Accountability Reporting System, and covers the 2010-11 to 2021-22 school years. The data was acquired in June 2022 through a public records request made by New Mexico In Depth and ProPublica.</p><p dir="ltr">At the time the data was received, reporting for 2021-22 school year was not yet finalized and therefore the disciplinary data for that year is incomplete in this file. Data for the 2020-21 school year is complete, but there are many fewer disciplinary actions than previous school years because of school closures during the COVID-19 pandemic.</p><p dir="ltr">ProPublica and New Mexico In Depth used this data to identify disproportionate rates of expulsion and referrals to law enforcement among Native American students in New Mexico. One district, Gallup-McKinley County Schools, played an outsized role in this disparity. The analysis focused on the 2016-17 to 2019-20 school years.</p><p dir="ltr">The Gallup-McKinley County Schools superintendent <a href="https://www.propublica.org/article/gallup-mckinley-superintendent-defends-native-student-discipline">disputed our findings</a>. He asserted that a much smaller number of students had been expelled, although that is contradicted by the district's reports to the state and to the U.S. Department of Education’s Office for Civil Rights.</p><p dir="ltr">The data is self-reported by districts, and the state told ProPublica and New Mexico In Depth that it validates the data. However, over the four-year period the news organizations found roughly 20 cases in which a school district, including Gallup-McKinley, recorded few or no disciplinary incidents for the first several months of a school year, despite reporting significant numbers in the rest of the year.</p><p dir="ltr">In addition, many of the disciplinary records involving pre-kindergarten students appear to be errors. The race of the students in those records are mostly Pacific Islander and Native Hawaiian, although very few such students are enrolled in the state. Our analysis excluded pre-kindergarten incidents.</p><p dir="ltr">Each record in the database represents a disciplinary action against a student. During the time period we analyzed, if a student faced multiple types of discipline for a single incident (e.g., both arrested and suspended in response to a fight), schools were instructed to record only the most severe punishment, according to STARS manuals from this period. (Starting in the 2022-23 school year, which is not covered in this database, the STARS manual indicates that the state has changed how multiple types of discipline are recorded for a single incident.)</p><p dir="ltr">If the same student was disciplined for multiple incidents over the course of a school year, they appear as separate records in the database. There are no unique student identifiers in the data; it cannot be used to calculate how many students were disciplined.</p><p dir="ltr">This download contains a copy of the STARS manuals for the 2017-18 and 2019-20 through 2021-22 school years. The manual includes a data dictionary for the discipline data. Other STARS documentation can be found on PED’s <a href="https://webnew.ped.state.nm.us/bureaus/information-technology/stars-manual/">website</a>.</p><p dir="ltr"><strong>Enrollment Data</strong></p><p dir="ltr">The download includes a spreadsheet with enrollment data for the 2010-11 through 2021-22 school years, which includes breakdowns by racial group and counts of special education students and English-language learners.</p><p dir="ltr">Prior to the 2019-20 school year, the enrollment data survey date was at the end of the school year (June 30). For 2019-20 and later, the survey date is early in the fall semester (Oct. 1), and enrollments of five or fewer are masked.</p><p dir="ltr">The enrollment spreadsheet was compiled using STARS data received from a public records request and PED’s <a href="https://webnew.ped.state.nm.us/bureaus/information-technology/stars/">website</a>. More recent enrollment figures and breakdowns by grade can be found on the site.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/new_mexico_school_discipline_20230206.zip">new_mexico_school_discipline_20230206.zip</a> (38.113 MB)</li></ul><div class="dataset-heading"><h3 id="new-york-state-subsidy-programs" class="dataset-heading__title">New York State Subsidy Programs</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#new-york-state-subsidy-programs","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#new-york-state-subsidy-programs</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Multiple New York State Agencies</dd><dt>Dates covered</dt><dd>2011-2014</dd><dt>Rows</dt><dd>Varies</dd><dt>Topic</dt><dd>Business</dd><dt>Featured uses</dt><dd><ul><li><a href="http://www.investigativepost.org/state-of-subsidies/">State of Subsidies</a></li><li><a href="https://projects.propublica.org/subsidies/">New York State Subsidies</a></li><li><a href="http://www.timesunion.com/news/article/New-York-State-Subsidy-Tracker-11031085.php">The State of Subsidies</a></li></ul><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Information on 12 major New York State subsidy programs, as received by ProPublica under Freedom of Information Law requests.</p><details><summary>Learn more about this dataset</summary><p>As part of our research into 12 of New York State's major subsidy programs, ProPublica, Investigative Post and the Columbia University Graduate School requested information from several state agencies under Freedom of Information Law requests.</p><p>The agencies include Empire State Development, the state’s economic development arm, which provided data on seven programs: Commercial Tax Credits, Film Tax Credits, the Economic Development Fund, JOBSNow, Regional Economic Development Councils, StartUp New York and Excelsior; the New York Power Authority, which provided two additional subsidy programs; and the state’s Taxation and Finance Department, which provided data on the Brownfield Cleanup Program. This download includes the raw data as provided by the agencies. In some cases, it contains additional information about these programs that was not included in our <a href="https://projects.propublica.org/subsidies/" target="_blank" rel="noreferrer noopener">online database</a>.</p><p>You can read more about how we used this data in the <a href="https://www.propublica.org/article/new-york-state-subsidies-methodology">methodology</a>.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/subsidies-foil-data.zip">subsidies-foil-data.zip</a> (646.264 kB)</li></ul><div class="dataset-heading"><h3 id="northern-illinois-federal-gun-cases" class="dataset-heading__title">Northern Illinois Federal Gun Cases</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#northern-illinois-federal-gun-cases","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#northern-illinois-federal-gun-cases</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Date released</dt><dd>October 2017</dd><dt>Dates covered</dt><dd>January 2007 - October 2017</dd><dt>Topic</dt><dd>Criminal Justice</dd><dt>Terms of Use</dt><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Bulk data about federal gun cases in the Illinois Northern District between January 2007 and October 2017.</p><details><summary>Learn more about this dataset</summary><p>ProPublica Illinois utilized this bulk data about federal gun cases as part of its reporting about gun trafficking in <a href="https://www.propublica.org/article/how-chicago-gets-its-guns">Chicago</a> and <a href="https://www.propublica.org/article/gun-trafficking-charges-illinois">northern Illinois</a>. This data set includes information about federal gun cases under statutes dealing with unlicensed firearm dealing (18:922A.F), unlawful sale of a firearm (18:922C.F), unlawful shipping of a firearm (18:922E.F), possession of a firearm by a felon (18:922G.F), making a false statement in a gun purchase (18:924A.F), and use of a gun in drug trafficking (18:924C.F) in the Illinois Northern District from January 1, 2007 to October 4, 2017. Documentation and a data dictionary <a href="https://www.pacer.gov/documents/bulk_data.pdf">are available from PACER</a> (pdf).</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://github.com/propublica/northern-il-federal-gun-cases/blob/master/processed/federal-gun-cases.csv">Download on github.com</a></li></ul><div class="dataset-heading"><h3 id="nursing-home-compare-data" class="dataset-heading__title">Nursing Home Compare Data</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#nursing-home-compare-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#nursing-home-compare-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Centers for Medicare & Medicaid Services</dd><dt>Topic</dt><dd>Health</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/nursing-homes/">Nursing Home Inspect</a></li><li><a href="https://yelp.com">Nursing Home Review Pages</a></li><li><a href="https://www.abqjournal.com/1174723/nursing-homes-in-new-mexico-rank-at-the-bottom.html">Nursing homes in New Mexico rank at the bottom</a></li></ul><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Use this dataset to compare nursing homes in a state based on the deficiencies cited by regulators and the penalties imposed in the past three years.</p><details><summary>Learn more about this dataset</summary><p>The Centers for Medicare and Medicaid Services Nursing Home Inspection data, including general information about nursing homes, health deficiencies, and penalties, updated monthly. ProPublica used this data in our <a href="https://projects.propublica.org/nursing-homes/" target="_blank" rel="noreferrer noopener">Nursing Home Inspect</a>. The data sets in particular that we used are Health Deficiencies, Penalties, and Provider Info.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://data.medicare.gov/data/nursing-home-compare">Download on data.medicare.gov</a></li></ul><div class="dataset-heading"><h3 id="nursing-home-deficiencies-data" class="dataset-heading__title">Nursing Home Deficiencies Data</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#nursing-home-deficiencies-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#nursing-home-deficiencies-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Centers for Medicare & Medicaid Services</dd><dt>Date released</dt><dd>August 216</dd><dt>Topic</dt><dd>Health</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/nursing-homes/">Nursing Home Inspect</a></li><li><a href="https://www.yelp.com">Nursing Homes Review Pages</a></li><li><a href="https://www.propublica.org/article/two-deaths-different-penalties-disparities-in-nursing-homes-oversight">Two Deaths, Wildly Different Penalties: The Big Disparities in Nursing Home Oversight</a></li></ul><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>The Centers for Medicare and Medicaid Services makes publicly available the full-text statements of nursing home deficiencies.<br></p><details><summary>Learn more about this dataset</summary><p>The Centers for Medicare and Medicaid Services makes publicly available the full-text statements of nursing home deficiencies. The linked data set is a zip file that contains 10 Excel files -- one for each region of the country. ProPublica has been using this data to power the <a href="https://projects.propublica.org/nursing-homes/" target="_blank" rel="noreferrer noopener">Nursing Home Inspect</a> tool since August 2012. This data also supported ProPublica reporting that found that government fails to ensure consistent penalties for nursing homes in different states.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="http://downloads.cms.gov/files/Full-Statement-of-Deficiencies-August-2016.zip">Download on downloads.cms.gov</a></li></ul><div class="dataset-heading"><h3 id="cms-open-payments-data-2016" class="dataset-heading__title">Open Payments Data (2016)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#cms-open-payments-data-2016","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#cms-open-payments-data-2016</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Centers for Medicare & Medicaid Services</dd><dt>Date released</dt><dd>July 2018</dd><dt>Dates covered</dt><dd>2016</dd><dt>Topic</dt><dd>Health</dd><dt>Terms of Use</dt><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>The data set is a raw data download of the January 2018 release of the 2016 Open Payments data set.</p><details><summary>Learn more about this dataset</summary><p>Open Payments is a federal program, required by the Affordable Care Act, that collects information about the payments drug and device companies make to physicians and teaching hospitals for things like travel, research, gifts, speaking fees, and meals. It also includes ownership interests that physicians or their immediate family members have in these companies. New data is released annually.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/OP_DTL_GNRL_PGYR2016_P01172018.csv">OP_DTL_GNRL_PGYR2016_P01172018.csv</a> (6.660 GB)</li></ul><div class="dataset-heading"><h3 id="cms-open-payments-data" class="dataset-heading__title">Open Payments Raw Data Download</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#cms-open-payments-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#cms-open-payments-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Centers for Medicare & Medicaid Services</dd><dt>Date released</dt><dd>January 2015</dd><dt>Topic</dt><dd>Health</dd><dt>Terms of Use</dt><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Open Payments is a federal program, required by the Affordable Care Act, that collects information about the payments drug and device companies make to physicians and teaching hospitals,</p><details><summary>Learn more about this dataset</summary><p>Open Payments is a federal program, required by the Affordable Care Act, that collects information about the payments drug and device companies make to physicians and teaching hospitals for things like travel, research, gifts, speaking fees, and meals. It also includes ownership interests that physicians or their immediate family members have in these companies.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="http://www.cms.gov/OpenPayments/Explore-the-Data/Dataset-Downloads.html">Download on www.cms.gov</a></li></ul><div class="dataset-heading"><h3 id="pac-donor-similarity-scores" class="dataset-heading__title">PAC Donor Similarity Scores</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#pac-donor-similarity-scores","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#pac-donor-similarity-scores</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Federal Election Commission; ProPublica analysis</dd><dt>Date released</dt><dd>January 2016</dd><dt>Dates covered</dt><dd>2014</dd><dt>Rows</dt><dd>435</dd><dt>Topic</dt><dd>Politics</dd><dt>Featured use</dt><dd><a href="https://www.propublica.org/article/campaign-donations-reflect-the-sharp-split-in-congress-among-republicans">Campaign Donations Reflect the Sharp Split in Congress Among Republicans</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>A data set of cosine similarity scores comparing 2014 PAC donors to Paul Ryan, the current Speaker of the House of Representatives, to other House members during the 113th Congress (2013-2014).</p><details><summary>Learn more about this dataset</summary><p>A GitHub repository that contains cosine similarity scores for PAC donors to congressional recipients. ProPublica’s analysis used a calculation called cosine similarity to compare each House members' donors to others; two members with an identical set of donors would receive a score of 1, while two with no PAC donors in common would get a score of 0.</p><p>The GitHub repository currently has cosine similarity scores comparing 2014 PAC donors to Paul Ryan, the current Speaker of the House of Representatives, to other House members during the 113th Congress (2013-2014).</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://github.com/propublica/pac-donor-similarity">Download on github.com</a></li></ul><div class="dataset-heading"><h3 id="pipeline-safety-data" class="dataset-heading__title">Pipeline Safety Data</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#pipeline-safety-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#pipeline-safety-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Pipeline & Hazardous Materials Safety Administration</dd><dt>Date released</dt><dd>November 2012</dd><dt>Dates covered</dt><dd>1986-Present</dd><dt>Topics</dt><dd><ul><li>Business</li><li>Transportation</li></ul></dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/pipelines/">Pipeline Safety Tracker (1986-2012)</a></li><li><a href="https://www.propublica.org/article/pipelines-explained-how-safe-are-americas-2.5-million-miles-of-pipelines">Pipelines Explained: How Safe are America’s 2.5 Million Miles of Pipelines?</a></li></ul><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>The U.S. Pipeline & Hazardous Materials Safety Administration documents incidents affecting more than 2.5 million miles of oil and gas pipelines each year.</p><details><summary>Learn more about this dataset</summary><p>The U.S. Pipeline & Hazardous Materials Safety Administration documents incidents affecting more than 2.5 million miles of oil and gas pipelines each year.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="http://www.phmsa.dot.gov/pipeline/library/data-stats/flagged-data-files">Download on www.phmsa.dot.gov</a></li></ul><div class="dataset-heading"><h3 id="political-advertisements-from-facebook" class="dataset-heading__title">Political Advertisements from Facebook</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#political-advertisements-from-facebook","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#political-advertisements-from-facebook</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>ProPublica, Facebook Users</dd><dt>Date released</dt><dd>July 2020</dd><dt>Dates covered</dt><dd>August 2018 - July 2020</dd><dt>Topics</dt><dd><ul><li>Politics</li><li>Business</li></ul></dd><dt>Terms of Use</dt><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>This database contains political ads that ran on Facebook and were submitted by thousands of users from around the world.</p><details><summary>Learn more about this dataset</summary><p dir="ltr"><strong>Note: This database was last updated in 2020. It should only be used as a historical snapshot. Researchers can access data about political ads on Facebook from the <a href="https://adobserver.org/ad-database/">Ad Observer</a> project by the NYU Cybersecurity for Democracy program.</strong><br><br>This database contains ads that ran on Facebook and were submitted by thousands of users from around the world. ProPublica, the Globe and Mail, and Quartz asked readers to install browser extensions that automatically collected advertisements on their Facebook pages and sent them to our servers. We then used a machine learning classifier to identify which ads were likely political and included them in this dataset. The included fields are:</p><ul><li>id: post id number on facebook</li><li>html: HTML of the ad as collected by the Political Ad Collector</li><li>political: number of Political Ad Collector users who have voted that the ad is political</li><li>not_political: number of Political Ad Collector users who have voted that the ad is not political</li><li>title: ad title</li><li>message: ad content</li><li>thumbnail: link for a thumbnail of the profile image (of the advertiser)</li><li>created_at: date ad was first collected by the Political Ad Collector</li><li>updated_at: the most recent time that it got an impression OR the most recent time it was voted on</li><li>lang: language of the ad. always en-US.</li><li>images: link for images included in the ad</li><li>impressions: number of times the ad has been seen by the Political Ad Collector</li><li>political_probability: calculated by the classifier. data only includes ads with a probability >=0.7</li><li>targeting: Facebook’s “Why am I seeing this?” disclosure provided to Political Ad Collector users</li><li>suppressed: value is false. suppressed ads are excluded from this data set because they were misclassified.</li><li>targets: a parsed version of targeting</li><li>advertiser: the account that posted the ad</li><li>entities: named entities mentioned in the ad, extracted using software</li><li>page: the page that posted the ad</li><li>lower_page: the Facebook URL of the advertiser that posted the ad (the “page” column, lowercased)</li><li>targetings: an array of one or more of Facebook’s “Why am I seeing this?” disclosures provided to Political Ad Collector users</li><li>paid_for_by: for political ads, the entity listed in Facebook’s required disclosure as having paid for the ad</li><li>targetedness: an internal metric for estimating how granularly an ad is targeted, used for sorting in the ProPublica search interface</li></ul></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://fbpac-images.s3.amazonaws.com/fbpac/en-US.csv.gz">Download on fbpac-images.s3.amazonaws.com</a></li></ul><div class="dataset-heading"><h3 id="politicians-tracked-by-politwoops" class="dataset-heading__title">Politicians tracked by Politwoops</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#politicians-tracked-by-politwoops","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#politicians-tracked-by-politwoops</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Twitter, ProPublica</dd><dt>Date released</dt><dd>July 2019</dd><dt>Rows</dt><dd>varies</dd><dt>Topic</dt><dd>Politics</dd><dt>Featured use</dt><dd><a href="https://projects.propublica.org/politwoops/">Politwoops</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>A downloadable listing of all of the politicians whose Twitter accounts are tracked by Politwoops. <em>Updates daily.</em></p><details><summary>Learn more about this dataset</summary><p>This dataset is a complete listing of the politicians whose Twitter accounts are currently tracked by Politwoops, a database of deleted tweets maintained by ProPublica. This file includes both campaign and official accounts for federal officeholders and candidates, along with governors and gubernatorial candidates. ProPublica has added columns with information on gender, Federal Election Commission candidate ID, branch of government, congressional district and the <a href="http://bioguide.congress.gov/biosearch/biosearch.asp" target="_blank" rel="noreferrer noopener">unique identifier</a> given to all members of the House and Senate, where applicable. It does not include any deleted tweets. <em>Updates daily.</em></p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://s3.amazonaws.com/pp-projects-static/politwoops/active_accounts.csv">Download on s3.amazonaws.com</a></li></ul><div class="dataset-heading"><h3 id="preferential-rents-in-new-york-city" class="dataset-heading__title">Preferential Rents in New York City</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#preferential-rents-in-new-york-city","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#preferential-rents-in-new-york-city</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>New York City Rent Guidelines Board, New York State Division of Housing and Community Renewal</dd><dt>Date released</dt><dd>June 2017</dd><dt>Dates covered</dt><dd>2003-2016</dd><dt>Topic</dt><dd>Business</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/graphics/preferential-rents">Map: Preferential Rents in New York City</a></li><li><a href="https://www.propublica.org/article/rent-stabilized-nyc-apartments-preferential-rent-mapped-zip-code">Many ‘Rent-Stabilized’ NYC Apartments Are Not Really Stabilized.</a></li></ul><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Data on where New York City landlords have taken advantage of a 2003 law enabling them to raise rents by more than the annual limits if they registered a high rent — often high above existing market rates — but charged tenants a lower, "preferential" rent.</p><details><summary>Learn more about this dataset</summary><p>In 2003, lawmakers in New York State passed a law that in effect allowed landlords to bypass annual limits on rent increases for their rent-stabilized apartments. Owners could raise rents by more than the annual limits if they registered a high rent — often high above existing market rates -- but charged tenants a lower, “preferential” rent. Preferential rents are not regulated and can be raised up to the registered rate upon lease renewal. Today, more than 250,000 New York City apartments feature these rents.<br><br>We used this data to make an interactive map exploring the issue. The New York City Rent Guidelines board received ZIP code level data on preferential rents as of 2016 from the New York State Division of Housing and Community Renewal and added additional info on the number of occupied rent-stabilized units in each ZIP. We extracted this data from the memo (also included) and produced a spreadsheet from it.<br><br>The spreadsheet includes all ZIP codes in NYC with preferential rents, along with the count of preferential rents, the number of occupied rent stabilized units, and the percent of occupied rent stabilized units with preferential rents. It also includes the total <a href="http://www.nyshcr.org/Rent/FactSheets/orafac24.pdf" target="_blank" rel="noreferrer noopener">Major Capital Improvement</a> costs allowed for 2016, but for all apartments regardless of rent levels, and the Rent Guidelines Board warns that they are not correlated with preferential rents.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/preferential-rent-propublica.zip">preferential-rent-propublica.zip</a> (287.321 kB)</li></ul><div class="dataset-heading"><h3 id="propublicas-afghan-waste-data" class="dataset-heading__title">ProPublica's Afghan Waste Data</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#propublicas-afghan-waste-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#propublicas-afghan-waste-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Special Inspector General for Afghanistan Reconstruction, ProPublica</dd><dt>Date released</dt><dd>December 2015</dd><dt>Dates covered</dt><dd>2009-2015</dd><dt>Rows</dt><dd>132</dd><dt>Topic</dt><dd>Military</dd><dt>Featured use</dt><dd><a href="https://projects.propublica.org/graphics/afghan">We Blew $17 Billion in Afghanistan. How Would You Have Spent It?</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>A unique data set, compiled by ProPublica reporters, that summarizes $17 billion in wasteful spending in Afghanistan.</p><details><summary>Learn more about this dataset</summary><p>ProPublica reviewed 235 SIGAR financial audits, special projects, program audits and inspection reports to compile this data set of $17 billion in wasteful spending. Financial audits were excluded from the final data. Of the other reports, only those that had specific monetary figures were used.<br></p><p>ProPublica also asked the military, the State Department, USAID and the United States Army Corps of Engineers for updates to some projects. As a result, some SIGAR reports were removed from the data, such as a teacher training facility that SIGAR had found was poorly built but had been fixed. Some figures were added that came from the government, such as the cost to fix buildings constructed with hazardous materials. There are 77 of these entries.</p><p>Based on SIGAR’s conclusions, we identified three main categories for 55 of the projects: waste, unsustainable, and at-risk.</p><ul><li><strong>Waste:</strong> A program, policy, purchase or building that has not fulfilled its purpose or achieved its goals, has involved misspending, or involved spending required as a result of poor decision making.</li><li><strong>At Risk (On the Brink):</strong> A program, policy, purchase or building that is is in danger of becoming waste. Possible reasons: the project is currently unused, won’t be used as intended, underused or it is vulnerable to theft or corruption.</li><li><strong>Unsustainable (Budget Busters):</strong> A program, policy, purchase or building that is beyond the means, capabilities or desires of the Afghan government to operate, maintain or use.</li></ul><p>There were 22 additional projects that were on the borderline of those three categories, and could be deemed wasteful from the point of view of the taxpayer. Perhaps the project might have fallen short of goals but is still being utilized by the Afghans or had mixed results. These were categorized as <strong>“You Be the Judge.”</strong></p><p>ProPublica consulted six experts drawn from academia and government who were well versed in reconstruction in Afghanistan. Their suggestions and criticisms were incorporated into the final data.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/afghan_waste_data.zip">afghan_waste_data.zip</a> (17.153 kB)</li></ul><div class="dataset-heading"><h3 id="restraint-and-seclusion-data" class="dataset-heading__title">Restraint and Seclusion Data</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#restraint-and-seclusion-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#restraint-and-seclusion-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Office of Civil Rights, U.S. Department of Education</dd><dt>Date released</dt><dd>June 2014</dd><dt>Dates covered</dt><dd>2011-2012</dd><dt>Rows</dt><dd>95635</dd><dt>Topic</dt><dd>Education</dd><dt>Featured uses</dt><dd><ul><li><a href="https://www.propublica.org/getinvolved/item/reporting-recipe-investigating-restraint-and-seclusion-in-us-schools">Journalists: How to Report on Restraints in U.S. Schools</a></li><li><a href="https://www.propublica.org/article/schools-restraints-seclusions">Violent and Legal: The Shocking Ways School Kids are Being Pinned Down, Isolated Against Their Will</a></li></ul><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>This data contains all instances of restraints and seclusions that public schools self-reported during the 2011-2012 school year. It is broken down by state, district, and school.</p><details><summary>Learn more about this dataset</summary><p>This data contains all instances of restraints and seclusions that public schools self-reported during the 2011-2012 school year. It is broken down by state, district, and school. This is the first time the federal government has attempted to collect this data from all schools, though beware: many school districts did not report. ProPublica used this data in our story on the use of restraints at school. Read our reporting recipe, below, for tips on how you can report this story.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/restraints_seclusions-2011-2012.zip">restraints_seclusions-2011-2012.zip</a> (5.197 MB)</li></ul><div class="dataset-heading"><h3 id="road-home-rebuilding-grants" class="dataset-heading__title">Road Home Rebuilding Grants</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#road-home-rebuilding-grants","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#road-home-rebuilding-grants</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Louisiana Division of Administration</dd><dt>Date released</dt><dd>February 2023</dd><dt>Dates covered</dt><dd>2007 to 2022</dd><dt>Rows</dt><dd>130,054</dd><dt>Topic</dt><dd>Environment</dd><dt>Provided in collaboration with</dt><dd>The Times-Picayune | The New Orleans Advocate and WWL-TV</dd><dt>Featured uses</dt><dd><ul><li><a href="https://www.propublica.org/article/how-louisiana-road-home-program-shortchanged-poor-residents">The Federal Program to Rebuild After Hurricane Katrina Shortchanged the Poor. New Data Proves It.</a></li><li><a href="https://www.propublica.org/article/why-half-of-st-bernard-parish-left-after-hurricane-katrina">An Exodus Unlike Any Other: Why Half the People in This Community Moved Away After Hurricane Katrina</a></li></ul><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Individual-level records of Road Home grants, insurance payments, damage estimates and property values for homes damaged or destroyed after hurricanes Katrina and Rita in Louisiana.</p><details><summary>Learn more about this dataset</summary><p dir="ltr">This data includes individual-level records for all property owners who received grants from the Road Home program, which was set up after hurricanes Katrina and Rita to cover repair and rebuilding costs that exceeded insurance payouts or FEMA aid for owner-occupied properties in Louisiana.</p><p dir="ltr">The data, acquired through public records requests to the Louisiana Division of Administration, includes details on the four types of grants available through the rebuilding program:</p><ul><li dir="ltr"><p dir="ltr">Compensation grants, the main type of funding available to homeowners.</p></li><li dir="ltr"><p dir="ltr">Additional compensation grants, which were made available to lower-income homeowners.</p></li><li dir="ltr"><p dir="ltr">Elevation grants, meant to help raise homes to prevent future flooding.</p></li><li dir="ltr"><p dir="ltr">Individual mitigation measure grants, which could be used toward other efforts to prevent future flooding.</p></li></ul><p dir="ltr">The data also contains data on state-generated estimates of the pre-storm value of each home and the cost to repair or rebuild it. Additional fields indicate whether properties were insured and how much the property owner received from insurance, FEMA or other sources.</p><p dir="ltr">While this data does not contain the names of property owners or addresses, geographic identifiers (using U.S. Census Bureau geographies from 2000) are available down to the census block level.</p><p dir="ltr">Note that there are some idiosyncratic aspects of the data contained in this table. Users are strongly encouraged to read the attached field definitions carefully as they detail these issues.</p><p dir="ltr">The most important caveat is that the grant fields indicate the total amount disbursed to the property owner. However, a variety of circumstances may have resulted in property owners owing some of that money to the state. These include situations in which property owners received additional money from insurance after they got their Road Home funds and cases in which checks were reissued due to fraud. To get an accurate accounting of the net amount received by each property owner, calculations must be made to adjust the grant or insurance values. Certain records may need to be excluded using flags included in the data.</p><p dir="ltr">Field names in the data are as provided by the Louisiana Division of Administration.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/Road_Home_data_20230213.zip">Road_Home_data_20230213.zip</a> (8.718 MB)</li></ul><div class="dataset-heading"><h3 id="salmon-testing-results" class="dataset-heading__title">Salmon Testing Results</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#salmon-testing-results","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#salmon-testing-results</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>ALS</dd><dt>Date released</dt><dd>December 2022</dd><dt>Dates covered</dt><dd>September 2021: Samples caught from Columbia River. Nov. 16, 2021: Samples submitted to laboratory. March 8, 2022: Samples tested and results returned to Oregon Public Broadcasting and ProPublica.</dd><dt>Rows</dt><dd>13 metals and 2 classes of chemicals</dd><dt>Topic</dt><dd>Environment</dd><dt>Provided in collaboration with</dt><dd>Oregon Public Broadcasting</dd><dt>Featured use</dt><dd><a href="https://www.propublica.org/article/how-the-us-broke-promise-to-protect-fish-for-tribes">The U.S. Promised Tribes They Would Always Have Fish, but the Fish They Have Pose Toxic Risks</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Explore the levels of contaminants in 50 salmon from the Columbia River that were caught in September 2021.</p><details><summary>Learn more about this dataset</summary><p dir="ltr">ProPublica and Oregon Public Broadcasting purchased 50 salmon from Native fishermen along a stretch of the Columbia River. The majority of the fish were fall Chinook salmon, with two coho salmon and one steelhead. Ten fish that were roughly the same size were placed in five coolers. The fish from each of these samples were combined to create a total of five composite samples. The samples were reduced to skin-on fillets and tested by ALS for 13 metals and two classes of chemicals. The lab returned an analytical report, as well as spreadsheets with the testing results.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/Salmon-Data-Store-20221202.zip">Salmon-Data-Store-20221202.zip</a> (3.258 MB)</li></ul><div class="dataset-heading"><h3 id="school-desegregation-orders-data" class="dataset-heading__title">School Desegregation Orders Data</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#school-desegregation-orders-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#school-desegregation-orders-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>U.S. Department of Justice; Stanford University</dd><dt>Date released</dt><dd>December 2014</dd><dt>Dates covered</dt><dd>1954-2014</dd><dt>Rows</dt><dd>Varies</dd><dt>Topic</dt><dd>Education</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/graphics/desegregation-orders">A National Survey of School Desegregation Orders</a></li><li><a href="https://www.propublica.org/article/ferguson-school-segregation">School Segregation, the Continuing Tragedy of Ferguson</a></li><li><a href="https://www.propublica.org/article/segregation-now-the-resegregation-of-americas-schools">Segregation Now: The Resegregation of American School</a></li></ul><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Across the United States, some school districts are bound by orders to increase the racial integration of black and Latino students and improve their educational opportunities. This is a comprehensive data set of those desegregation orders from 1957 through December 2014.</p><details><summary>Learn more about this dataset</summary><p>Across the United States, some school districts are bound by orders to increase the racial integration of black and Latino students and improve their educational opportunities. This dataset collects information about all of those school desegregation orders, from 1957 through the end of 2014.</p><p>The data files include information about school desegregation orders mandated by federal courts and open school desegregation orders that resulted from voluntary agreements between school districts and the U.S. Department of Education’s Office of Civil Rights.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/desegregation-orders.zip">desegregation-orders.zip</a> (19.008 kB)</li></ul><div class="dataset-heading"><h3 id="spending-at-trump-properties" class="dataset-heading__title">Spending at Trump Properties</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#spending-at-trump-properties","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#spending-at-trump-properties</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Federal and state agencies, ProPublica’s FEC Itemizer (Federal Election Commission)</dd><dt>Date released</dt><dd>June 2018</dd><dt>Dates covered</dt><dd>April 2015-June 2018 (varies by agency and campaign)</dd><dt>Topics</dt><dd><ul><li>Politics</li><li>Business</li></ul></dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/paying-the-president">Paying the President</a></li><li><a href="https://www.propublica.org/article/political-and-taxpayer-spending-at-trump-properties-16-1-million">We’ve Found $16.1 Million in Political and Taxpayer Spending At Trump Properties</a></li></ul><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Details of spending at Trump properties by political campaigns and federal officials between 2015 and the present.</p><details><summary>Learn more about this dataset</summary><p>During the presidential race, Donald Trump’s campaign spent millions at his properties. When he became the presumptive nominee, Republican campaign committees followed suit. Since his inauguration, federal officials have continued the pattern, spending taxpayer money at his hotels, golf clubs and restaurants. ProPublica has collected the details of this spending since 2015* into <a href="https://projects.propublica.org/paying-the-president" target="_blank" rel="noreferrer noopener">an interactive graphic, Paying the President</a>, and is releasing the data as a download.</p><p><strong>Please note: </strong>Federal government spending is incomplete because many government agencies have actively fought requests to disclose spending at Trump properties. The data we have so far was released, in part, after lawsuits. We’ll continue to update this page as we receive more data.</p><p>Additionally, federal government spending data does not include all expenses from the Secret Service or from Coast Guard protection details. Some federal spending reports we received did not include transaction dates.</p><p><em>* Federal Election Commission data is from April 30, 2015 through May 8, 2018; Federal agency expenditure data from the Department of Commerce is from Jan. 15, 2017 through April 10, 2018; data from the Department of Defense is from Jan. 20, 2017 through June 14, 2017; data from the Department of Homeland Security is from Jan. 20, 2017 through Feb. 13, 2018; data from the General Services Administration is from Jan. 20, 2017 through Nov. 20, 2017; data from the Department of State is from Jan. 20, 2017 through Aug. 2, 2017, with three expenditures with unknown transaction dates; State and local government agency expenditure data is from Jan. 20, 2017 through June 2018.</em><br></p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/propublica_trump_spending-1.csv">propublica_trump_spending-1.csv</a> (176.058 kB)</li></ul><div class="dataset-heading"><h3 id="the-mar-a-lago-crowd-documents" class="dataset-heading__title">The Mar-a-Lago Crowd Documents</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#the-mar-a-lago-crowd-documents","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#the-mar-a-lago-crowd-documents</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Department of Veterans Affairs</dd><dt>Date released</dt><dd>August 2018</dd><dt>Dates covered</dt><dd>February 2017 to April 2018</dd><dt>Topics</dt><dd><ul><li>Politics</li><li>Military</li></ul></dd><dt>Featured use</dt><dd><a href="https://www.propublica.org/article/ike-perlmutter-bruce-moskowitz-marc-sherman-shadow-rulers-of-the-va">The Shadow Rulers of the VA</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Documents obtained from the Department of Veterans Affairs showing how three outside advisers who often meet at Mar-a-Lago wield vast influence over the agency.</p><details><summary>Learn more about this dataset</summary><p>This download includes hundreds of pages of documents — including emails, calendars, expense reports, and other records — obtained from the Department of Veterans Affairs through the Freedom of Information Act showing how three outside advisers who often meet at Mar-a-Lago wield vast influence over the agency. The documents range from February 2017 to April 2018 and were released to ProPublica between May and August 2018.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/maralago-va.zip">maralago-va.zip</a> (29.682 MB)</li></ul><div class="dataset-heading"><h3 id="tobacco-bonds-underwriting-pitches-data" class="dataset-heading__title">Tobacco Bonds Underwriting Pitches</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#tobacco-bonds-underwriting-pitches-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#tobacco-bonds-underwriting-pitches-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Bond underwriters' responses</dd><dt>Date released</dt><dd>December 2014</dd><dt>Dates covered</dt><dd>1999-2014</dd><dt>Rows</dt><dd>265</dd><dt>Topic</dt><dd>Business</dd><dt>Featured use</dt><dd><a href="http://www.propublica.org/article/bankers-brought-rating-agencies-to-their-knees-on-tobacco-bonds">Bankers Brought Rating Agencies ‘To Their Knees’ On Tobacco Bonds</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>This data contains a summary of comments investment bankers made about credit rating agencies while pitching their underwriting services for tobacco bonds from 1999 onward.</p><details><summary>Learn more about this dataset</summary><p>This data contains a summary of comments investment bankers made about credit rating agencies while pitching their underwriting services for tobacco bonds from 1999 onward. The comments come from 140 underwriting pitches ProPublica collected under public records requests in more than a dozen states. The data shows that Wall Street pressed S&P, Moody’s and Fitch to assign more favorable credit ratings to their deals and bragged that the raters complied.<br><br>ProPublica used this data in <a href="http://www.propublica.org/article/bankers-brought-rating-agencies-to-their-knees-on-tobacco-bonds" target="_blank" rel="noreferrer noopener">"Bankers Brought Rating Agencies ‘To Their Knees’ On Tobacco Bonds"</a>.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/ra-data.zip">ra-data.zip</a> (30.687 kB)</li></ul><div class="dataset-heading"><h3 id="toxic-air-pollution-hot-spots" class="dataset-heading__title">Toxic Air Pollution Hot Spots</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#toxic-air-pollution-hot-spots","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#toxic-air-pollution-hot-spots</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>ProPublica analysis of the EPA’s Risk Screening Environmental Indicators model</dd><dt>Date released</dt><dd>November 2021</dd><dt>Dates covered</dt><dd>2014-2018</dd><dt>Rows</dt><dd>41,188</dd><dt>Methodology</dt><dd><a href="https://www.propublica.org/article/how-we-created-the-most-detailed-map-ever-of-cancer-causing-industrial-air-pollution">https://www.propublica.org/article/how-we-created-the-most-detailed-map-ever-of-cancer-causing-industrial-air-pollution</a></dd><dt>Topic</dt><dd>Environment</dd><dt>Featured use</dt><dd><a href="https://projects.propublica.org/toxmap/">The Most Detailed Map of Cancer-Causing Industrial Air Pollution in the U.S.</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Data on carcinogenic industrial air pollution</p><details><summary>Learn more about this dataset</summary><p dir="ltr">These are the data files behind <a href="https://www.propublica.org/series/sacrifice-zones">ProPublica’s “Sacrifice Zones” series</a>. ProPublica <a href="https://www.propublica.org/article/toxmap-poison-in-the-air">analyzed five years of data</a> from the EPA’s <a href="https://www.epa.gov/rsei">Risk Screening Environmental Indicators model</a> to identify hot spots of cancer-causing industrial air pollution across the country. The model estimates concentrations of toxic chemicals near industrial plants in 810-by-810-meter squares of land, referred to as grid cells. ProPublica derived cancer risk estimates from the concentration numbers in the model’s grid cells, and averaged those estimates over a five-year period (2014-2018). At the time of publication, the data that ProPublica analyzed were the most recent available RSEI data.</p><p dir="ltr">After computing the average cancer risk estimates, we wrote an algorithm to identify toxic “hot spots,” defined as contiguous grid cells with an estimated incremental lifetime cancer risk greater than or equal to 1 in 100,000. That is, if a community of 100,000 people in the given area or grid cell were exposed to a toxic chemical continuously at the concentration provided in the RSEI data over a presumed lifetime of 70 years, roughly one additional individual might develop cancer from the exposure. That risk level is the exponential midpoint value in the EPA’s “fuzzy bright line,” a range of benchmarks for risks that the agency deems “acceptable.” The upper limit of this range was established in 1989, with the promulgation of emissions standards for the release of the chemical benzene as 1 in 10,000. At the low end of the range is 1 in 1 million.</p><p dir="ltr">The download available here includes a data dictionary, as well as two GeoJSON files and one CSV file:<br></p><ul><li dir="ltr"><p dir="ltr">One GeoJSON gives the grid cells — 810-by-810-meter squares — where cancer risk estimates are above 1 in 100,000. Contiguous groups of these grid cells make up the hot spots on our map. They also contain additional information, such as cancer risk estimates for each year of the five-year analysis period and population estimates.</p></li><li dir="ltr"><p dir="ltr">The second GeoJSON contains the outlines of each of the hot spots identified by our analysis, with additional information such as the location of the hot spot and its area.</p></li><li dir="ltr"><p dir="ltr">The CSV is a list of facilities that our analysis identified to be significant drivers of cancer risk in each of these hot spots.</p></li></ul><p>For more detailed information on ProPublica’s analysis and the limitations of this data, <a href="https://www.propublica.org/article/how-we-created-the-most-detailed-map-ever-of-cancer-causing-industrial-air-pollution">please read our methodology</a>.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/toxmaps_files_2022-03-15b.zip">toxmaps_files_2022-03-15b.zip</a> (7.201 MB)</li></ul><div class="dataset-heading"><h3 id="trump-administration-financial-disclosures" class="dataset-heading__title">Trump Administration Financial Disclosures</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#trump-administration-financial-disclosures","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#trump-administration-financial-disclosures</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>White House counsel's office, U.S. Office of Government Ethics, various federal agencies</dd><dt>Date released</dt><dd>August 2017</dd><dt>Dates covered</dt><dd>1/2017 through 8/1/17</dd><dt>Rows</dt><dd>751</dd><dt>Topics</dt><dd><ul><li>Politics</li><li>Business</li></ul></dd><dt>Featured use</dt><dd><a href="https://projects.propublica.org/graphics/trump-disclosures">Here Are the Financial Disclosures of 349 Officials Trump Has Installed Across the Government</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>A list of 750 Trump administration officials' financial disclosure forms, which lay out their financial holdings an employment backgrounds, and (when available) any ethics waivers provided to the official.</p><details><summary>Learn more about this dataset</summary><p>ProPublica has compiled disclosure forms that lay out Trump administration officials' financial holdings and employment backgrounds. This data set includes the name, agency, job title, and links to financial disclosure forms for 750 individuals, including White House staffers, President Trump’s Cabinet and the hundreds of members of so-called beachhead teams that the administration has installed at federal agencies. The data set also includes links to the ethics waivers that have been provided to 29 officials. <em>Updated August 3, 2017</em></p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/disclosures.zip">disclosures.zip</a> (20.620 kB)</li></ul><div class="dataset-heading"><h3 id="trump-administration-political-appointees" class="dataset-heading__title">Trump Administration Political Appointees</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#trump-administration-political-appointees","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#trump-administration-political-appointees</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>ProPublica, various federal agencies, Office of Personnel Management, Office of Government Ethics</dd><dt>Date released</dt><dd>October 2019</dd><dt>Dates covered</dt><dd>1/20/2017-10/14/19</dd><dt>Methodology</dt><dd><a href="https://www.propublica.org/article/how-we-compiled-trump-town">How We Compiled Trump Town</a></dd><dt>Topic</dt><dd>Politics</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/trump-town">Trump Town</a></li><li><a href="https://www.nytimes.com/2018/03/07/business/trump-federal-jobs.html">How the Spoils Were Doled Out to Trump Campaign Workers and Allies</a></li></ul><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a> and the following additional terms: <strong><p>You may not redistribute the entire dataset or use the data to create an online version of the database.</p></strong></dd></dl><p>A unique database of Trump administration political appointees, cabinet members and White House staffers. <em>Last updated October 14, 2019</em></p><details><summary>Learn more about this dataset</summary><p><a href="https://projects.propublica.org/trump-town/">Trump Town</a> is a database of Trump administration political appointees, cabinet members and White House staffers. We created it by requesting staffing lists from individual agencies and the Office of Personnel Management. We then used those staff lists to request financial disclosure documents from the Office of Government Ethics and individual agencies. We parsed those financial disclosures to create a relational database that includes tables for organizations (former employers) and agencies, in addition to staffers. We also cross-referenced staffer names from our <a href="https://projects.propublica.org/represent/lobbying/">Represent lobbying database</a>, and reviewed those names to verify that the people match.</p><p>The database contains 14 tables: five created by ProPublica, as well as nine tables from financial disclosure documents, scraped and cleaned into usable data. The tables are available in the download both as 14 individual CSVs with primary and foreign keys, and a single SQL dump file containing the 14 tables. <strong>Complete documentation is included in the download and contains important information about how to use the data accurately.</strong></p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/data-store-trumptown-01-25-2021.zip">data-store-trumptown-01-25-2021.zip</a> (8.137 MB)</li></ul><div class="dataset-heading"><h3 id="trump-administration-beachhead-team-appointment" class="dataset-heading__title">Trump’s Beachhead Team Appointments</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#trump-administration-beachhead-team-appointment","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#trump-administration-beachhead-team-appointment</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Office of Personnel Management, 0ther Federal Agencies</dd><dt>Date released</dt><dd>August 2017</dd><dt>Dates covered</dt><dd>1/20/17 through 8/3/17</dd><dt>Rows</dt><dd>543</dd><dt>Topic</dt><dd>Politics</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/graphics/beachhead">Here are More than 400 Officials Trump has Quietly Deployed Across the Government</a></li><li><a href="https://www.bloomberg.com/news/articles/2017-03-09/trump-s-gender-gap-27-percent-of-appointees-are-women-so-far">Trump Hires Three Men for Every Woman</a></li><li><a href="https://www.washingtonpost.com/powerpost/white-house-installs-political-aides-at-cabinet-agencies-to-be-trumps-eyes-and-ears/2017/03/19/68419f0e-08da-11e7-93dc-00f9bdd74ed1_story.html?hpid=hp_hp-top-table-main_minders-705pm:homepage/story&utm_term=.39bbcb579067">White House installs political aides at Cabinet agencies to be Trump’s eyes and ears</a></li></ul><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>ProPublica obtained a list of more than 1,000 Trump administration hires for beachhead teams, including dozens of lobbyists and some from far-right media. (<em>Updated 8/31/17</em>)</p><details><summary>Learn more about this dataset</summary><p>The White House said in January that around 520 staffers were being hired for the beachhead teams. Beachhead team members are temporary employees serving for stints of four to eight months, but many are expected to move into permanent jobs. Through a Freedom of Information Act request, ProPublica has obtained a list of more than 1,000 Trump administration hires. (<em>Updated 8/31/17</em>)</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/beachhead.zip">beachhead.zip</a> (23.466 kB)</li></ul><div class="dataset-heading"><h3 id="congressional-data-bulk-legislation-bills" class="dataset-heading__title">U.S. Congress: Bulk Data on Bills</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#congressional-data-bulk-legislation-bills","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#congressional-data-bulk-legislation-bills</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>ProPublica's Represent App</dd><dt>Dates covered</dt><dd>January 1973-Present</dd><dt>Topic</dt><dd>Politics</dd><dt>Featured use</dt><dd><a href="https://projects.propublica.org/represent">Represent</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Thousands of bills are introduced in Congress during each session. This dataset contains metadata for every bill introduced, including sponsors, cosponsors, committee actions, floor votes and a summary, along with the data of the last modification to the bill.</p><details><summary>Learn more about this dataset</summary><p>Thousands of bills are introduced in Congress during each session. This dataset contains metadata for every bill introduced, including sponsors, cosponsors, committee actions, floor votes and a summary, along with the data of the last modification to the bill. The primary download on this page includes data only for the current 118th Congress (2021-2022). This data is updated twice daily.</p><p>Data is provided in both JSON and XML formats.</p><p>Bulk data from previous congresses can be downloaded by clicking the links below. Bulk data for congresses before and including the 112th was generated by the Sunlight Foundation. Data for congresses the 113th Congress and subsequent congresses was generated by ProPublica, using code from the <a href="https://github.com/unitedstates">@UnitedStates</a> GitHub organization.</p><p><strong>Historical Data:</strong></p><table><tbody><tr><td><ul><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/93.zip">1973-1974</a></li><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/94.zip">1975-1976</a></li><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/95.zip">1977-1978</a></li><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/96.zip">1979-1980</a></li><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/97.zip">1981-1982</a></li></ul></td><td><ul><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/98.zip">1983-1984</a></li><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/99.zip">1985-1986</a></li><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/100.zip">1987-1988</a></li><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/101.zip">1989-1990</a></li><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/102.zip">1991-1992</a></li></ul></td><td><ul><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/103.zip">1993-1994</a></li><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/104.zip">1995-1996</a></li><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/105.zip">1997-1998</a></li><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/106.zip">1999-2000</a></li><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/107.zip">2001-2002</a></li></ul></td><td><ul><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/108.zip">2003-2004</a></li><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/109.zip">2005-2006</a></li><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/110.zip">2007-2008</a></li><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/111.zip">2009-2010</a></li><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/112.zip">2011-2012</a></li></ul></td><td><ul><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/113.zip">2013-2014</a></li><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/114.zip">2015-2016</a></li><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/115.zip">2017-2018</a></li><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/116.zip">2019-2020</a></li><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/117.zip">2020-2021</a></li></ul></td></tr></tbody></table></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://s3.amazonaws.com/pp-projects-static/congress/bills/118.zip">Download on s3.amazonaws.com</a></li></ul><div class="dataset-heading"><h3 id="rape-clearance-data" class="dataset-heading__title">U.S. Rape Clearance Data</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#rape-clearance-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#rape-clearance-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Various law enforcement agencies, Federal Bureau of Investigation, Newsy, Reveal, and ProPublica</dd><dt>Date released</dt><dd>November 2018</dd><dt>Dates covered</dt><dd>2014-2016</dd><dt>Rows</dt><dd>103</dd><dt>Methodology</dt><dd><a href="https://www.propublica.org/article/how-we-analyzed-rape-clearance-rates">How We Analyzed Rape Clearance Rates</a></dd><dt>Topic</dt><dd>Criminal Justice</dd><dt>Provided in collaboration with</dt><dd>Newsy</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/graphics/rape_clearance">Could Your Police Department Be Inflating Rape Clearance Rates?</a></li><li><a href="https://www.propublica.org/article/when-it-comes-to-rape-just-because-a-case-is-cleared-does-not-mean-solved">When It Comes to Rape, Just Because a Case Is Cleared Doesn’t Mean It’s Solved</a></li><li><a href="https://www.revealnews.org/article/rape-suspects-walk-free-victims-dont-get-justice-and-police-get-to-count-it-as-a-success/">Rape suspects walk free. Victims don’t get justice. And police get to count it as a success.</a></li></ul><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>Summary data on how police jurisdictions process rape cases, based on public records requests from 103 law enforcement agencies in cities with populations over 300,000.</p><details><summary>Learn more about this dataset</summary><p>This data was collected as part of <a href="https://projects.propublica.org/graphics/rape_clearance">an investigation by Newsy, Reveal, and ProPublica into how police process rape cases</a>. Scripps/Newsy requested internal case management data from every major law enforcement agency in the United States serving a population of at least 300,000 people. The data provided in this download includes annual counts of total rape cases and number of clearances by type (arrest, unfounded, and exceptional) for each jurisdiction, as well as the columns in the data provided by the agencies that were used to distinguish rape cases from other crimes, to divide the data by reporting year and to tally case dispositions as either unfounded, cleared by arrest or cleared by exceptional means. (A complete description of the included fields is included with the download.)<br></p><p>To create this data, we sent record requests to 103 law enforcement agencies and as of November 14, 2018, we had received data from 67 agencies. (A copy of the request sent to each jurisdiction is also included with the download. As more requests are filled, we will continue to update the rows for those districts.) The requests were for the years 2014 through 2016 and included the incident number of the offense, the date, the type of offense, whether it was unfounded, the date it was unfounded, the date it was cleared, the arrest date, the type of clearance and the reason for exceptional clearance if applicable. We parsed data from the FBI’s summary and NIBRS master files for the three years and calculated reported FBI clearance rates alongside our own analysis of the internal data from each jurisdiction.</p><p>We found that it was common for agencies to use a reporting category called “clearance by exceptional means” to mark rape cases as cleared without making an arrest, inflating the clearance rates that are often cited as a measure of police effectiveness. The FBI reporting system used by most agencies nationwide does not distinguish between the two types of clearance. These data provide a window into how often these agencies are using exceptional means to clear rape cases, as well as the prevalence of unfounded rape reports for jurisdictions that do not report that total to the FBI.</p><h2><strong>Additional data available upon request</strong></h2><p>Upon request, Newsy can provide additional files containing additional data provided by each agency on rape cases. In many cases, Newsy/Scripps has aggregated the data from multiple files. The columns are as provided with the exception of any column named “YEAR,” which was added when data were provided in separate files or tabs for each year, and any column starting with the letters “MF,” which are columns that were added in the course of processing the data. All of the files have been restricted to rape cases as defined in the analysis file and data dictionary, and in some cases fields have been dropped from the originals to remove personal identifiable information.</p><p><strong>Information about how to request these additional files is included in the download.</strong></p><p></p><p>NOTE: This data has also been archived with Big Local News, which provides support for data collection and analysis for local journalists. For more information, contact <a href="/cdn-cgi/l/email-protection#1370766320536067727d757c61773d767766">Cheryl Phillips</a>.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/20181120_rape_clearance_download_public_version.zip">20181120_rape_clearance_download_public_version.zip</a> (160.451 kB)</li></ul><div class="dataset-heading"><h3 id="voting-machine-age-in-2016-election" class="dataset-heading__title">Voting Machine Age in 2016 Election</h3><script data-cfasync="false" src="/cdn-cgi/scripts/5c5dd728/cloudflare-static/email-decode.min.js"></script><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#voting-machine-age-in-2016-election","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#voting-machine-age-in-2016-election</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Verified Voting</dd><dt>Date released</dt><dd>December 2017</dd><dt>Rows</dt><dd>6403</dd><dt>Topic</dt><dd>Politics</dd><dt>Featured use</dt><dd><a href="https://www.propublica.org/article/election-security-a-high-priority-until-it-comes-to-paying-for-new-voting-machines">Election Security a High Priority — Until It Comes to Paying for New Voting Machines</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>County-level data indicating the first year voting machines in the 2016 election were used.<br></p><details><summary>Learn more about this dataset</summary><p>County-level data indicating the first year voting machines in the 2016 election were used. The data comes from Verified Voting. We used this data in <a href="https://www.propublica.org/article/election-security-a-high-priority-until-it-comes-to-paying-for-new-voting-machines" target="_blank" rel="noreferrer noopener">Election Security a High Priority — Until It Comes to Paying for New Voting Machines</a>.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/VotingMachineAge.zip">VotingMachineAge.zip</a> (59.866 kB)</li></ul><div class="dataset-heading"><h3 id="trump-administration-white-house-complex-visitor-records" class="dataset-heading__title">White House Complex Visitor Logs</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#trump-administration-white-house-complex-visitor-records","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#trump-administration-white-house-complex-visitor-records</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Property of the People; the Office of Management and Budget; the Office of the U.S. Trade Representative; the Office of National Drug Control Policy; the Office of Science and Technology Policy; and the Council on Environmental Quality.</dd><dt>Date released</dt><dd>November 2017</dd><dt>Dates covered</dt><dd>Jan. 20, 2017 through Sept. 6, 2017</dd><dt>Rows</dt><dd>8,807</dd><dt>Topic</dt><dd>Politics</dd><dt>Featured use</dt><dd><a href="https://projects.propublica.org/graphics/wh-complex">Here Are the White House Visitor Records the Trump Administration Didn’t Want You to See</a><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>A dataset of visitors to the White House complex between January 20, 2017 and September 6, 2017. <em>Last updated Nov. 21, 2017</em></p><details><summary>Learn more about this dataset</summary><p>The White House complex -- formally called the Executive Office of the President, or EOP -- is made up of more than a dozen offices and about 4,000 staffers who craft White House policy and support the president. It includes the White House itself, the National Security Council, the Office of Management and Budget, and other federal agencies.</p><p>Property of the People, a Washington-based nonprofit transparency group, successfully sued to force the administration to release the visitor logs and calendars of top agency officials from five agencies within the White House complex: the Office of Management and Budget; the Office of the U.S. Trade Representative; the Office of National Drug Control Policy; the Office of Science and Technology Policy; and the Council on Environmental Quality.</p><p>The court held that these agencies are subject to public disclosure through the Freedom of Information Act, even if the White House itself is not. The Trump administration refuses to release visitor logs for the White House, citing "grave national security risks and privacy concerns of the hundreds of thousands of visitors annually.”</p><p>The Obama White House also initially refused to release a list of its visitors, as had previous administrations. But in 2009, facing four lawsuits from government transparency groups and increasing public scrutiny, the Obama administration began voluntarily posting records of those who came in and out of the White House itself online.</p><p>The dataset covers the period between Jan. 20, the day of Trump’s inauguration, and about Sept. 6, although the date ranges differ by agency. The download includes both the original PDFs provided by the administration, as well as our CSV version of the data, used in our story, "<a href="https://projects.propublica.org/graphics/wh-complex" target="_blank" rel="noreferrer noopener">Here Are the White House Visitor Records the Trump Administration Didn’t Want You to See</a>."<br></p><p>The government redacted the names of some White House complex visitors, citing privacy reasons. Property of the People and the government are negotiating for the release of names currently redacted in some of the visitor logs and calendars. We plan to publish additional data, likely disclosed on a quarterly basis, as it becomes available.</p><p>The government noted in its response to Property of the People’s open-records request that it couldn’t guarantee that every visitor’s name was logged. In some cases, where we couldn’t confirm the proper spelling of handwritten names or other text, we noted entries as “illegible.”</p><p>The government redacted the names of some White House complex visitors, citing privacy reasons. Property of the People and the government are negotiating for the release of names currently redacted in some of the visitor logs and calendars. We plan to publish additional data, likely disclosed on a quarterly basis, as it becomes available.</p><p>The government noted in its response to Property of the People’s open-records request that it couldn’t guarantee that every visitor’s name was logged. Because the visitor logs and calendars are produced by the agencies themselves, meeting details might be mislabeled or incorrect. In some cases, where we couldn’t confirm the proper spelling of handwritten names or other text, we noted entries as “illegible.”</p><p><br></p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/WHC-visitor-logs-calendars.zip">WHC-visitor-logs-calendars.zip</a> (92.699 MB)</li></ul><div class="dataset-heading"><h3 id="workers-compensation-premium-rate-data" class="dataset-heading__title">Workers’ Compensation Premium Rate Data</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#workers-compensation-premium-rate-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#workers-compensation-premium-rate-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Oregon Department of Consumer and Business Services</dd><dt>Topic</dt><dd>Business</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/graphics/workers-compensation-premiums-down">Employers Complain of Rising Premiums, But Workers’ Comp Is at 25-Year Low</a></li><li><a href="https://www.propublica.org/article/the-demolition-of-workers-compensation">The Demolition of Workers’ Comp</a></li></ul><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>A state-by-state ranking of workers' compensation insurance rates paid by employers is produced every two years by Oregon’s Department of Consumer and Business Services.</p><details><summary>Learn more about this dataset</summary><p>Oregon’s Department of Consumer and Business Services (DCBS) produces this biannual ranking of workers’ compensation insurance rates paid by employers. The data from 50 states and Washington, D.C. showed that, as of 2014, employers were paying a lower rates for workers’ compensation insurance than at any time in the past 25 years.</p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://www.oregon.gov/DCBS/reports/Pages/general-wc-system.aspx">Download on www.oregon.gov</a></li></ul><div class="dataset-heading"><h3 id="workers-compensation-state-reforms-data" class="dataset-heading__title">Workers’ Compensation State Reforms Data</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#workers-compensation-state-reforms-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#workers-compensation-state-reforms-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>ProPublica research on state reform laws</dd><dt>Date released</dt><dd>March 2015</dd><dt>Dates covered</dt><dd>2002-2014</dd><dt>Rows</dt><dd>50</dd><dt>Topic</dt><dd>Business</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/graphics/workers-comp-reform-by-state">Workers' Compensation Reforms by State</a></li><li><a href="https://www.propublica.org/article/workers-compensation-injured-workers-share-stories-of-harm">The Fallout of Workers’ Comp ‘Reforms’: 5 Tales of Harm</a></li></ul><dt>Terms of Use</dt></dd><dd><a href="/datastore/terms/">Standard terms of use</a></dd></dl><p>A detailed dataset summarizing major changes to state workers’ compensation laws since 2003.</p><details><summary>Learn more about this dataset</summary><p>This data tracks the changes to the major medical and wage-replacement replacement benefits in workers’ comp.</p><p>To track the impact of the workers compensation nationwide, ProPublica assigned a starting value for each state by combining a ranking of average statutory benefits conducted by Actuarial & Technical Solutions of Bohemia, N.Y., and a report from the U.S. Department of Labor that monitored how many recommendations of a 1972 presidential commission on workers’ comp that each state was following. ProPublica then analyzed state reform laws, using data from the National Council on Compensation Insurance Annual Statistical Bulletin, which rates the effects of legislation on benefit payments. In addition, ProPublica consulted reports from the Workers Compensation Research Institute and conducted interviews with stakeholders to determine how the changes compared to the historical norms provided by state workers’ comp systems.<br></p><p>States may have adopted additional legislation that is not included here because it didn’t affect the core benefits.</p><p>ProPublica used this data in our graphic <a href="https://projects.propublica.org/graphics/workers-comp-reform-by-state" target="_blank" rel="noreferrer noopener">Workers’ Compensation Reforms by State</a>.<br></p></details><p>Get the data:</p><ul class="wrap-long-words"><li><a href="https://static.propublica.org/projects/datastore-archive/workcomp_reforms.zip">workcomp_reforms.zip</a> (5.956 kB)</li></ul><h2 id="premium-datasets" data-section-heading>Premium datasets</h2><p>The following premium datasets are no longer available for download, but they are listed for archival purposes. If you have any questions about them, email <a href="/cdn-cgi/l/email-protection#573f323b3b38172725382722353b3e343679382530" rel="noopener noreferrer nofollow"><span class="__cf_email__" data-cfemail="4c24292020230c3c3e233c392e20252f2d62233e2b">[email protected]</span></a>.</p><div class="dataset-heading"><h3 id="421a-tax-housing-subsidy" class="dataset-heading__title">421-a Housing Subsidy Compliance Data</h3><script data-cfasync="false" src="/cdn-cgi/scripts/5c5dd728/cloudflare-static/email-decode.min.js"></script><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#421a-tax-housing-subsidy","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#421a-tax-housing-subsidy</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>NYC Dept. of Finance, Dept. of Housing Preservation and Development, Rent Guidelines Board, ProPublica</dd><dt>Date released</dt><dd>March 2016</dd><dt>Dates covered</dt><dd>1992-2016</dd><dt>Rows</dt><dd>6650</dd><dt>Topic</dt><dd>Business</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/tables/nyc-421a-tax-benefits">If You Live In These Tax-Subsidized Buildings, You Are Entitled to a Rent Freeze</a></li><li><a href="https://www.propublica.org/article/thousands-nyc-landlords-ignored-rent-caps-got-tax-breaks-didnt-qualify-for">Thousands of NYC Landlords Who Ignored Rent Caps Got Tax Breaks They Didn’t Qualify For</a></li></ul></dd></dl><p>Detailed information on 6,650 properties in New York City that receive tax benefits under the $1.4 billion-a-year 421-a housing subsidy program, including program compliance details.<br></p><details><summary>Learn more about this dataset</summary><p>This data set includes detailed information on 6,650 properties receiving 421-a benefits as of the city's FY15/16 final roll and the status of their application for a final certificate of eligibility (FCE) to receive such benefits, based on data provided by the New York City Department of Finance and the Department of Housing Preservation and Development under the New York State Freedom of Information Law. The two databases were joined on property identifier data, and contextual and regulatory data was added from additional data sources.</p><p>Landlords who collect property tax benefits under the $1.4 billion-a-year 421-a program — the city’s single-largest housing subsidy — are required to provide tenants with rent-stabilized leases. These leases limit rent increases to city-set limits, such as the <a href="http://www.nytimes.com/2016/06/28/nyregion/for-the-second-year-rents-in-some-stabilized-apartments-in-new-york-city-will-not-increase.html?_r=1">rent freeze announced in June 2016</a>. Often, the city’s Finance Department gives out the tax benefit without an approved application on file showing that the landlord has met all the requirements of the program, including rent stabilization.<br></p><p>Note: The sample download includes both complete raw data files provided under the NYS FOI Law.</p></details><div class="dataset-heading"><h3 id="bombs-in-your-backyard-derp" class="dataset-heading__title">Bombs In Your Backyard Data</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#bombs-in-your-backyard-derp","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#bombs-in-your-backyard-derp</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>U.S. Department of Defense</dd><dt>Date released</dt><dd>November 2017</dd><dt>Dates covered</dt><dd>Site data as of 2015</dd><dt>Rows</dt><dd>Varies</dd><dt>Methodology</dt><dd><a href="https://projects.propublica.org/bombs/methodology">Bombs in Your Backyard Methodology</a></dd><dt>Topics</dt><dd><ul><li>Military</li><li>Environment</li></ul></dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/bombs">Bombs in Your Backyard</a></li><li><a href="https://www.propublica.org/article/reporting-recipe-bombs-in-your-backyard">Reporting Recipe</a></li></ul></dd></dl><p>Information on the location, type, and costs of cleanup efforts administered by the Department of Defense at current and former military locations as of 2015.</p><details><summary>Learn more about this dataset</summary><p>Bombs in Your Backyard is an interactive map and database of military sites that contain toxic pollutants and contaminants in the soil or water, as well as sites that contain explosives or discarded military munitions. The data, which ProPublica obtained through a Freedom of Information Request, comes from the Defense Environmental Restoration Program, which is administered by the Department of Defense. The program measures and documents cleanup efforts at current and former military locations. The data was last updated in 2015.<br></p><p>The original dataset contained 4,785 military installations with at least one hazardous site, and 40,688 total hazardous sites. It also contained information on the type and amount of contamination, the past and estimated future cost of cleanup, the type of restrictions to public access or future land use, the method of cleanup, and the date at which cleanup ended or is expected to end, among other things. In some cases, we added descriptions of military installations from the U.S. Army Corps of Engineers.</p><p>The Bombs in Your Backyard database, which is a simplified and restructured version of the original DERP database, contains 9 tables. The tables are available in the download both as 9 individual CSVs and as a single SQL dump file containing the 9 tables. The tables are:</p><ul><li>installations</li><li>sites</li><li>media</li><li>contaminants</li><li>controls</li><li>restrictions</li><li>phases</li><li>remedies</li><li>states</li></ul><p>To request additional information and download documentation for this dataset, please complete the form on this page.</p><p><em>Note: Our interactive database contains 4,785 military installations with at least one hazardous site, and 40,688 total hazardous sites. Because not all sites came with location data, only 3,611 installations and 24,809 sites appear on our maps (see “Site Locations” for more information), but all installations and sites in the DOD data appear in our tables.</em><br></p></details><div class="dataset-heading"><h3 id="cook-county-commercial-property-tax-assessments" class="dataset-heading__title">Commercial and Industrial Property Values in Chicago and Cook County</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#cook-county-commercial-property-tax-assessments","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#cook-county-commercial-property-tax-assessments</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Illinois Department of Revenue, Cook County Assessor's Office</dd><dt>Date released</dt><dd>December 2017</dd><dt>Dates covered</dt><dd>2003-2016</dd><dt>Rows</dt><dd>Varies</dd><dt>Methodology</dt><dd><a href="https://projects.propublica.org/graphics/the-tax-divide-analysis">How We Analyzed Commercial and Industrial Property Assessments in Chicago and Cook County</a></dd><dt>Topics</dt><dd><ul><li>Business</li><li>Finance</li></ul></dd><dt>Provided in collaboration with</dt><dd>Chicago Tribune</dd><dt>Featured use</dt><dd><a href="https://features.propublica.org/the-tax-divide/cook-county-commercial-and-industrial-property-tax-assessments/">How the Cook County Assessor Failed Taxpayers</a></dd></dl><p>Commercial and industrial property value data for Cook County and Chicago, including tax assessment values, property sales records, and assessment appeals for 2003-2016.</p><details><summary>Learn more about this dataset</summary><p>ProPublica Illinois & The Chicago Tribune have created a research-ready dataset of commercial and industrial assessment and appeals data from 2003 to 2016 for the City of Chicago and Cook County, Illinois. The data, which were the underpinning for our analysis in "How the Cook County Assessor Failed Taxpayers," include data on tens of thousands assessments.</p><p>Data from the Cook County Assessor's Office and the Illinois Department of Revenue have been cleaned, standardized, and combined to allow for easy analysis of data on various details, including assessed values, sale prices, appeals records, and attorney names. The dataset includes:</p><ul><li><strong>Initial property valuations over multiple reassessment periods within the City of Chicago:</strong> The data is compiled by Property Index Number (PIN), a unique identifier that geographically locates each parcel of property. Includes a description of the property class, the assessed value of the property (2008-2015), and a flag to identify properties with identical reassessments over multiple years.</li><li><strong>Data resulting from a sales ratio study comparing the assessor’s valuations to actual sales prices</strong>, including comparisons with the first-pass (initial) assessment and the final (board of review) assessment. This analysis used data from the Illinois Department of Revenue (IDOR) real estate transfer declaration data. The data comes from <a href="https://www.documentcloud.org/documents/4273995-PTAX-203-Illinois-Real-Estate-Transfer-Declaration.html">the PTAX declaration form</a>, which provides information on sales of properties throughout the state. The self-reported data includes the classification of the property (such as commercial or residential), the sales price and whether the sale is an arm’s-length transaction or a compulsory sale. The data has been hand-checked to ensure no related parties were included in the analysis, among other exclusions. This entailed examining the buyers and sellers and flagging any who appeared to be related.</li><li><strong>Appeals of commercial and industrial property tax assessments in Cook County.</strong> This analysis used appeals data from the CCAO which include data on each PIN that was the subject of an appeal. The data includes initial assessed values (estimates based on market data and building characteristics), second-pass assessed values (which incorporate adjustments based on appeals granted by the assessor’s office) and the final assessed values (incorporating any successful appeals to the Cook County Board of Review). Attorney names are also included in this dataset. The 3.8 million records, which contained many spelling and typographical errors, were standardized using regular expressions and data cleaning tools in R, followed by extensive fact-checking and hand checks.</li></ul><p><em>To request commercial pricing information or purchase the data, complete the form on this page.</em><br></p></details><div class="dataset-heading"><h3 id="dollars-for-docs-data-archive" class="dataset-heading__title">Dollars for Docs (2009-2013)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#dollars-for-docs-data-archive","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#dollars-for-docs-data-archive</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Pharmaceutical Company Disclosures, ProPublica</dd><dt>Dates covered</dt><dd>2009-2013</dd><dt>Rows</dt><dd>3362932</dd><dt>Methodology</dt><dd><a href="https://www.propublica.org/article/about-our-pharma-data">How We Assembled This Data</a></dd><dt>Topic</dt><dd>Health</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/d4d-archive">Dollars for Docs (Archive)</a></li><li><a href="https://www.propublica.org/article/what-weve-learned-from-four-years-of-diving-into-dollars-for-docs">What We've Learned From Four Years of Diving Into Dollars for Docs</a></li></ul></dd></dl><p>A unique set of data of more than $4 billion in payments to doctors, other medical providers and health care institutions that were disclosed by 17 pharmaceutical companies from 2009 to 2013. ProPublica combined, cleaned, and standardized data from multiple sources.</p><details><summary>Learn more about this dataset</summary><p>A unique set of data of more than $4 billion in payments to doctors, other medical providers and health care institutions that were disclosed by 17 pharmaceutical companies from 2009 to 2013.</p><p>Prior to 2013, the federal government did not require pharmaceutical companies to disclose payments they made to medical providers. However, about $4 billion in payments to doctors, other medical providers and health care institutions were voluntarily disclosed by 17 pharmaceutical companies between 2009 and 2013. As of 2013, their combined prescription drug sales amounted to about 50 percent of the U.S. market.</p><p>ProPublica compiled individual disclosures into a single, comprehensive database that allows patients to search for their physician or medical center and receive a listing of all payments matching that name. The database can also be searched by state and by company. It can be filtered by year and payment category.</p><p>Compiling this database involved scraping and collating from a variety of formats. Caveats and additional details are listed in the readme file available as part of both the purchased dataset and the sample data available for download on this page.</p><p><strong>IMPORTANT NOTE: </strong>This data set does not include provider NPI numbers, and it cannot be combined with the data available in the <a href="https://www.propublica.org/datastore/dataset/dollars-for-docs">annually updated Dollars for Docs data available here</a>.</p></details><div class="dataset-heading"><h3 id="dollars-for-docs-2013-2016" class="dataset-heading__title">Dollars for Docs Data (2013-2016)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#dollars-for-docs-2013-2016","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#dollars-for-docs-2013-2016</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Centers for Medicare & Medicaid Services, ProPublica</dd><dt>Date released</dt><dd>June 2018</dd><dt>Dates covered</dt><dd>August 2013-December 2016</dd><dt>Rows</dt><dd>38,231,551</dd><dt>Topic</dt><dd>Health</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/docdollars/">Dollars for Docs</a></li><li><a href="https://www.propublica.org/article/doctors-who-take-company-cash-tend-to-prescribe-more-brand-name-drugs">Now There’s Proof: Docs Who Get Company Cash Tend to Prescribe More Brand-Name Meds</a></li><li><a href="https://www.propublica.org/article/opioid-makers-blamed-for-overdose-epidemic-cut-back-on-marketing-payments-to-doctors">Opioid Makers, Blamed for Overdose Epidemic, Cut Back on Marketing Payments to Doctors</a></li></ul></dd></dl><p>Ready-to-use data on more than $9 billion dollars paid by pharmaceutical companies to medical providers and health care institutions between August 2013 and December 2016. <em>Updates annually</em></p><details><summary>Learn more about this dataset</summary><p>ProPublica has compiled ready-to-use data on billions of dollars paid by pharmaceutical companies to medical providers and health care institutions between August 2013 and December 2018. Dollars for Docs, ProPublica's <a href="https://projects.propublica.org/">free, online lookup tool</a>, now covers nearly $12 billion in medical industry payments made to more than 1 million physicians in the United States. This premium dataset is a downloadable version of the database that powers our tool.<br></p><p>As of November 2019, the data is provided in two separate tranches: <strong>January 2017-December 2018 </strong>and <strong>August 2013-December 2016</strong>. (<a href="https://www.propublica.org/datastore/dataset/dollars-for-docs" target="_blank" rel="noreferrer noopener">You can purchase or download a sample of the 2017-2018 data here</a>.) This page includes information about the 2013-2016 data.</p><p>The data included is based on the January 2018 release of the Open Payments data, and has been cleaned, analyzed, and matched with additional information. The data can be combined with our exclusive NPI-Open Payments ID crosswalk, which enables users to match this information to other provider-level data.</p><p>The data is provided as CSV files, with documentation, and your purchase includes:</p><ul><li><strong>Documentation</strong> outlining our methodology, data sources, caveats for using the data, and a data dictionary for each of the included tables.</li><li><strong>A summary for each provider</strong> in the database, including their specialty, contact information, and aggregated payment information (number of payments received, total monetary value of payments received, and number of companies from which payments were received).</li><li><strong>A ready-to-use version of the federal Open Payments data</strong>, for which we have cleaned company names, drug names, and device names. We have standardized how each company, drug, and device is listed, and eliminated duplicates (meaning if a product was listed as both a drug and device, we figured out which was correct).</li><li><strong>An analysis-ready version of the payments file</strong>, with each drug or device associated with a payment represented on its own line. Open Payments records sometimes include multiple drugs and/or devices associated with each payment. (Each drug or device is assigned the full value of the payment.) Our flattened file makes it easier to identify the number of payments attributed to a drug or device or identify which providers received payments associated with particular products.</li></ul><p><em>Please note: CMS updates the data every six months, with updates to the data, including corrections, additions, and removal of payments. Updates provided by CMS after January 2018 have not been included in this cleaned version of the data.</em></p><h2><strong>NPI-Open Payments ID Crosswalk</strong></h2><p>The NPI-Open Payments crosswalk, which matches providers Open Payment IDs to their National Provider Identifier (NPI) number, was last updated October 3, 2019. To request student or journalist discount pricing for the crosswalk, contact us.</p><p><strong>Custom data segments</strong> are also available, with selections based on information such as provider specialty, location, NPI number, or hospital affiliation, as well as drug, device, and/or manufacturer.</p></details><div class="dataset-heading"><h3 id="dollars-for-docs" class="dataset-heading__title">Dollars for Docs Data (2017-2018)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#dollars-for-docs","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#dollars-for-docs</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Centers for Medicare & Medicaid Services, ProPublica</dd><dt>Date released</dt><dd>June 2019</dd><dt>Dates covered</dt><dd>January 2017-December 2018</dd><dt>Topic</dt><dd>Health</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/docdollars/">Dollars for Docs</a></li><li><a href="https://www.propublica.org/article/doctors-who-take-company-cash-tend-to-prescribe-more-brand-name-drugs">Now There’s Proof: Docs Who Get Company Cash Tend to Prescribe More Brand-Name Meds</a></li><li><a href="https://www.propublica.org/article/opioid-makers-blamed-for-overdose-epidemic-cut-back-on-marketing-payments-to-doctors">Opioid Makers, Blamed for Overdose Epidemic, Cut Back on Marketing Payments to Doctors</a></li></ul></dd></dl><p>Ready-to-use data on more than $12 billion dollars paid by pharmaceutical companies to medical providers and health care institutions. <em>Updates annually</em></p><details><summary>Learn more about this dataset</summary><p>ProPublica has compiled ready-to-use data on billions of dollars paid by pharmaceutical companies to medical providers and health care institutions between August 2013 and December 2018. Dollars for Docs, ProPublica's <a href="https://projects.propublica.org/">free, online lookup tool</a>, now covers nearly $12 billion in medical industry payments made to more than 1 million physicians in the United States. This premium dataset is a downloadable version of the database that powers our tool.<br></p><p>As of November 2019, the data is provided in two separate tranches: January 2017-December 2018 and August 2013-December 2016. <strong>This page includes information about the 2017-2018 data.</strong></p><p>This data set is based on the June 2019 release of the federal Open Payments database, and has been cleaned, analyzed, and matched with additional information. The data can be combined with our exclusive NPI-Open Payments ID crosswalk, which enables users to match this information to other provider-level data.</p><p>The data will be provided as six separate CSV files, with documentation, and your purchase includes:</p><ul><li><strong>Documentation</strong> outlining our methodology, data sources, caveats for using the data, and a data dictionary for each of the included tables.</li><li><strong>A ready-to-use version of the federal Open Payments general payments data</strong>, for which we have cleaned company names, drug names, and device names. We have standardized how each company, drug, and device is listed, and eliminated duplicates (meaning if a product was listed as both a drug and device, we figured out which was correct).</li><li><strong>A summary for each provider</strong> in the database, including their specialty, contact information, and aggregated payment information (number of payments received, total monetary value of payments received, and number of companies from which payments were received).</li><li><strong>A companion table to the payments file</strong>, that identifies each drug or device associated with a payment on its own line. Open Payments records sometimes include multiple drugs and/or devices associated with each payment. This is a many-to-many table of payment-product pairs, which allows users to identify the number of payments attributed to a drug or device or identify which providers received payments associated with particular products.</li><li><strong>Additional tables </strong>with basic information on products, companies, and teaching hospital payment recipients that can be joined with the other tables for more detailed analyses.</li><li><strong>Not included: </strong>The NPI-Open Payments crosswalk, which matches providers Open Payment IDs to their National Provider Identifier (NPI) number.</li></ul><p><em>Please note: CMS updates the data every six months, with updates to the data, including corrections, additions, and removal of payments. Updates provided by CMS after January 2018 have not been included in this cleaned version of the data.</em></p><p><strong>Custom data segments</strong> are also available, with selections based on information such as provider specialty, location, NPI number, or hospital affiliation, as well as drug, device, and/or manufacturer.</p></details><div class="dataset-heading"><h3 id="d4d-hospitals" class="dataset-heading__title">Dollars for Docs: Hospital Analysis</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#d4d-hospitals","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#d4d-hospitals</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Centers for Medicare & Medicaid Services</dd><dt>Date released</dt><dd>June 2016</dd><dt>Dates covered</dt><dd>January-December 2014</dd><dt>Rows</dt><dd>4816</dd><dt>Methodology</dt><dd><a href="https://www.propublica.org/article/how-we-compiled-the-dollars-for-docs-hospital-data">How We Compiled the Dollars for Docs Hospital Data</a></dd><dt>Topic</dt><dd>Health</dd><dt>Featured uses</dt><dd><ul><li><a href="https://www.propublica.org/article/drug-device-makers-find-receptive-audience-at-for-profit-southern-hospitals">Drug and Device Makers Find Receptive Audience at For-profit, Southern Hospitals</a></li><li><a href="http://www.azcentral.com/story/money/business/health/2016/07/05/more-than-80-percent-doctors-three-az-hospitals-accept-drug-company-payments/86616232/">Analysis: More than 80 percent of doctors at three Arizona hospitals accept drug-company payments</a></li></ul></dd></dl><p>A data set of U.S. hospitals and the percentage of their affiliated physicians who receive payments of various sizes from pharmaceutical and medical device companies.</p><details><summary>Learn more about this dataset</summary><p>This data set provides a summary analysis of Open Payments data, grouping total payments received by doctors at hospitals around the United States. Our goal was to compare U.S. hospitals based on the percentage of their affiliated physicians who receive payments of various sizes from pharmaceutical and medical device companies.</p><p>ProPublica's analysis of the Open Payments data was based on physicians’ primary hospital affiliations as reported by Medicare's Physician Compare tool in December 2014. This means our analysis excludes physicians who don't participate in Medicare and don't admit many patients to the hospital. The complete methodology is available below.</p><p>Detailed information about specific payments made to individual providers, including custom analysis of providers associated with individual hospitals, is available <a href="http://127.0.0.1:8000/dataset/dollars-for-docs-data-2013-2014">here</a>.</p></details><div class="dataset-heading"><h3 id="dollars-for-profs-data" class="dataset-heading__title">Dollars for Profs</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#dollars-for-profs-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#dollars-for-profs-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>National Institutes of Health, various universities</dd><dt>Date released</dt><dd>December 2019</dd><dt>Rows</dt><dd>37,204</dd><dt>Topics</dt><dd><ul><li>Education</li><li>Business</li></ul></dd></dl><p>A data set of more than 35,000 financial disclosure and conflict of interest records from faculty members at U.S. universities.</p><details><summary>Learn more about this dataset</summary><p>This unique data set contains 37,204 financial disclosure and conflict of interest records from university faculty members across the country from The National Institutes for Health and several public universities<em>.</em></p><p>The NIH collects <em>s</em>ignificant disclosures of financial relationships that could affect the design, conduct or reporting of the NIH-funded research. ProPublica then combined those disclosures with data about NIH grants, as the disclosure database did not originally include the researchers’ university. ProPublica requested additional information about outside income from at least one public university in all 50 states. About 20 state universities complied with our requests (list below). ProPublica then combined the NIH data with the state disclosure data to create a single database.<br></p><p>The data download includes one Excel file, where each row is a single disclosed conflict of interest or financial disclosure.</p><p>Financial disclosure and conflict of interest records included were received from:</p><ul><li>The National Institutes for Health</li><li>University of California (all locations)</li><li>The Office of the Illinois Secretary of State</li><li>Arizona State University</li><li>The University of Arizona</li><li>The University of Florida Medical School</li><li>The Georgia Institute of Technology</li><li>The University of Kentucky</li><li>Louisiana State University</li><li>The University of Texas (all locations)</li><li>The University of Utah</li></ul></details><div class="dataset-heading"><h3 id="fbi-uniform-crime-reports" class="dataset-heading__title">FBI Uniform Crime Reports (2014)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#fbi-uniform-crime-reports","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#fbi-uniform-crime-reports</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Federal Bureau of Investigation</dd><dt>Date released</dt><dd>November 2016</dd><dt>Dates covered</dt><dd>2014</dd><dt>Rows</dt><dd>Varies</dd><dt>Topic</dt><dd>Criminal Justice</dd><dt>Provided in collaboration with</dt><dd>Investigative Reporters and Editors</dd><dt>Featured use</dt><dd><a href="https://projects.propublica.org/graphics/hatecrime-map">Where Hate Crimes Aren't Reported</a></dd></dl><p>Local, county, and state police departments across the country voluntarily report aggregate numbers for different categories of crime in their jurisdictions. Updated annually.</p><details><summary>Learn more about this dataset</summary><p>Local, county, and state police departments across the country voluntarily report aggregate numbers for different categories of crime in their jurisdictions. The Uniform Crime Reports, comprised of six databases, includes crime information reported to the FBI by law enforcement agencies around the country. Most of the data consist of the "index" crimes: murder, nonnegligent manslaughter, forcible rape, robbery, aggravated assault, burglary, larceny-theft, motor-vehicle theft and arson. These crimes, with the exception of arson, were chosen in 1929 to serve as an index for gauging fluctuations in the overall volume and rate of crime. Arson was added by Congressional mandate in 1979.<br></p><p>The six databases of the Uniform Crime Report include: Return-A, Return-A Supplement, Supplemental Homicide Report (SHR), Police, Arson and Age, Sex and Race (ASR also known as Arrests). Each database, with the exception of SHR, is arranged by police reporting agencies. Occurrences are presented as aggregates. The data is broken down by month. All the databases provide the region, state, county, city, metropolitan statistical area (MSA) and reporting agency identifier.</p><p>This version of the dataset, available only from Investigative Reporters and Editors in partnership with ProPublica, is an analysis-ready version of the data provided by the FBI, pre-processed as CSV or SQL files. (While the source data comes as unpacked, fixed-width .DAT files on a disc, IRE has processed the files to slice the fixed-width data into columns and, in the ASR and Return A tables, processed hexadecimal numbers into their true negative values.) Additional data years, from 1993 to 2013, are also available <a href="/cdn-cgi/l/email-protection#f098959c9c9fb080829f8085929c999391de9f8297" target="_blank" rel="noreferrer noopener">upon request</a>.</p></details><div class="dataset-heading"><h3 id="home-mortgage-disclosure-act" class="dataset-heading__title">Home Mortgage Disclosure Act</h3><script data-cfasync="false" src="/cdn-cgi/scripts/5c5dd728/cloudflare-static/email-decode.min.js"></script><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#home-mortgage-disclosure-act","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#home-mortgage-disclosure-act</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Federal Financial Institutions Examination Council</dd><dt>Date released</dt><dd>September 2015</dd><dt>Dates covered</dt><dd>2014</dd><dt>Rows</dt><dd>11,875,464</dd><dt>Topic</dt><dd>Business</dd><dt>Provided in collaboration with</dt><dd>Investigative Reporters and Editors</dd></dl><p>A research-ready data set of individual home mortgage applications submitted to all banks, savings and loans, savings banks and credit unions with assets of more than $33 million. Includes demographic and Census data related to each application.</p><details><summary>Learn more about this dataset</summary><p>A research-ready data set of U.S. home mortgage loan applications, based on data from the federally mandated Home Mortgage Disclosure Act. In 2014, the most recent year for which data is available, there were about 11.7 million loan records reported by 7,062 financial institutions in 2014. These records include applications for home purchase, for home improvement, and for refinancing.</p><p>Data generated by HMDA provides information on lending practices. This data set includes multiple files; the primary table is the Loan Application Register (LAR), which contains:</p><ul><li>demographic information about loan applicants, including race, gender and income;</li><li>the purpose of the loan (i.e. home purchase or improvement);</li><li>whether the buyer intends to live in the home; the type of loan (i.e. conventional, FHA insured, etc.);</li><li>the outcome of the loan application (i.e. approved or declined).</li><li>geographical information on applicants, such as Census tract, MA (metropolitan area), state and county, total population and percentage of minority population by Census tract.</li></ul><p>Since 2004, the data also includes "spread," showing the difference between Treasury security interest rate and the loans interest rate. Lenders are also given the opportunity to note reasons for denial in three fields, but those are seldom used.</p><p>Names, addresses, and other information on lending institutions are stored in additional tables and can be joined to the LAR data.</p><p>HMDA requires all banks, savings and loans, savings banks and credit unions with assets of more than $33 million and offices in metropolitan areas to report mortgage applications. This act was enacted by Congress in 1975 and is implemented by the Federal Reserve Boards Regulation C. Banks, savings and loan associations, credit unions, and mortgage and consumer finance companies are required to report HMDA data if they meet legal criteria for coverage.</p></details><div class="dataset-heading"><h3 id="workers-compensation-body-parts-data" class="dataset-heading__title">Maximum Workers' Comp for Body Parts by State</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#workers-compensation-body-parts-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#workers-compensation-body-parts-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>ProPublica research of state workers’ compensation laws</dd><dt>Date released</dt><dd>March 2015</dd><dt>Rows</dt><dd>55</dd><dt>Topic</dt><dd>Business</dd><dt>Featured uses</dt><dd><ul><li><a href="https://www.propublica.org/article/workers-comp-benefits-how-much-is-a-limb-worth-methodology">Methodology for Workers’ Comp Benefits</a></li><li><a href="https://projects.propublica.org/graphics/workers-compensation-benefits-by-limb">Workers’ Comp Benefits: How Much is a Limb Worth?</a></li><li><a href="https://www.propublica.org/article/how-much-is-your-arm-worth-depends-where-you-work">How Much Is Your Arm Worth? Depends On Where You Work</a></li></ul></dd></dl><p>This dataset, based on detailed analysis by ProPublica reporters, includes the maximum permanent partial disability compensation that injured workers can receive for various body parts in 50 states, the District of Columbia and the federal system.</p><details><summary>Learn more about this dataset</summary><p>This dataset, based on detailed analysis by ProPublica reporters, includes the maximum permanent partial disability compensation that injured workers can receive for various body parts in 50 states, the District of Columbia and the federal system.</p><p>Creating the data involved more than 600 calculations relying on 52 separate formulas. We researched laws for all 50 states, the District of Columbia and the Federal Employees’ Compensation Act to calculate the maximum benefit injured workers can receive for the total loss or amputation of various body parts. Researchers then checked their calculations with state officials, attorneys and judges in those states. The benefit, often known as “permanent partial disability,” is in addition to temporary wage-replacement benefits and is intended to compensate workers who’ve suffered severe injuries, but can still work in some capacity.<br></p></details><div class="dataset-heading"><h3 id="medical-marijuana-registry-programs" class="dataset-heading__title">Medical Marijuana Registry Programs</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#medical-marijuana-registry-programs","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#medical-marijuana-registry-programs</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Associated Press, state agencies, media reports</dd><dt>Date released</dt><dd>July 2019</dd><dt>Dates covered</dt><dd>Varies by state</dd><dt>Rows</dt><dd>varies</dd><dt>Methodology</dt><dd><a href="https://blog.ap.org/behind-the-news/data-illuminates-marijuana-legalization-impact">Data illuminates marijuana legalization impact</a></dd><dt>Topics</dt><dd><ul><li>Health</li><li>Business</li></ul></dd><dt>Provided in collaboration with</dt><dd>Associated Press</dd><dt>Featured uses</dt><dd><ul><li><a href="https://www.apnews.com/8f70e32aaf544508930df2049f410d7a">AP analysis: Legal pot for all takes a toll on medical users</a></li><li><a href="https://www.dailyitem.com/news/local_news/report-says-legalizing-recreational-marijuana-could-hurt-medical-industry/article_e00fae15-e4e5-5474-a5e0-dfa79464bb59.html">Report says legalizing recreational marijuana could hurt medical industry</a></li></ul></dd></dl><p>State- and county-level data on patient enrollment in medical marijuana programs in the U.S. and Puerto Rico</p><details><summary>Learn more about this dataset</summary><p>The Associated Press has compiled a comprehensive dataset on medical marijuana registry programs as of April 2019 across the U.S and Puerto Rico through formal records requests, published program reports, confirmed media reports and miscellaneous department documents. The dataset includes patient numbers at the state level for all participating states, for 12 states at the county level and DC at the ward level, but does not include data from California, Washington state or Maine. Years available vary by state, based on program age and data availability.</p><p>The data provided with this purchase includes:</p><p></p><ul><li><strong>A layout table.</strong> Outlines what data is available for each state (along with a PDF outlining state-by-state details and caveats).</li><li><strong>State-level medical marijuana registry data</strong><strong>.</strong> Includes number of total patients, minor patients, patients over 65 (70 or 71) years old, qualifying conditions, and gender of patients over time.</li><li><strong>County-level medical marijuana registry data.</strong> Total number of patients over time. Not available for all states.</li><li><strong>Qualifying conditions. </strong>Outlines which qualifying conditions are included in the data for each state. States may allow access to medical marijuana for more qualifying conditions that listed here, but these are the categories available in the data.</li></ul><p></p></details><div class="dataset-heading"><h3 id="national-bankruptcy-chapter-7-13" class="dataset-heading__title">National Consumer Bankruptcy Cases</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#national-bankruptcy-chapter-7-13","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#national-bankruptcy-chapter-7-13</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Department of Justice, American Community Survey</dd><dt>Date released</dt><dd>October 2017</dd><dt>Dates covered</dt><dd>2008-2015</dd><dt>Rows</dt><dd>9,099,556</dd><dt>Topic</dt><dd>Business</dd><dt>Featured use</dt><dd><a href="https://www.propublica.org/series/too-broke-for-bankruptcy">Too Broke for Bankruptcy</a></dd></dl><p>A national data set of U.S. consumer bankruptcy cases initiated under Chapter 7 or Chapter 13 between 2008 and 2015.</p><details><summary>Learn more about this dataset</summary><p>ProPublica has created a research-ready national data set of consumer bankruptcy cases filed from 2008 through 2015 either under Chapter 7 or Chapter 13. The dataset, which was the underpinning for our analysis in "<a href="https://propublica.org/bankruptcy?utm_source=datastore&utm_medium=referral" target="_blank" rel="noreferrer noopener">How The Bankruptcy System is Failing Black Americans</a>," includes data on the approximately 9 million consumer bankruptcy cases in the United States. In addition to basic filing information such as important dates and locations, each case includes the debtor’s zip code, as well as income, asset, and liability information.</p><p>The file was created by combining and cleaning data from the Department of Justice and the American Community Survey.</p><p>This Department of Justice data is provided as snapshots. ProPublica cleaned and aggregated records to create a single record for each case. Demographic information for the filer's zip code was added to each case including racial composition, median household income, and education level. In some cases, demographic variables included in the file were calculated by combining measures from the ACS data. (For example, percent black is calculated as the estimated size of the black population divided by the total estimated population.)</p><p>Note: The Justice Department’s dataset does not include identifying information about the debtor, such as name and address. Also, this data does not list the debtor’s attorney. Furthermore, a significant number of cases lack asset, liability or income data, most likely because such information was never filed in the first place. This is particularly prevalent among pro se cases.</p><p>Download the raw source data on bankruptcy case filings <a href="http://127.0.0.1:8000/dataset/federal-judicial-center-data-on-bankrtupcy">here</a>.<br></p></details><div class="dataset-heading"><h3 id="national-flood-insurance-program-policies-premiums" class="dataset-heading__title">National Flood Insurance Program Coverage</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#national-flood-insurance-program-policies-premiums","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#national-flood-insurance-program-policies-premiums</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>FEMA</dd><dt>Date released</dt><dd>October 2017</dd><dt>Dates covered</dt><dd>2012, 2017, and 1978-2017</dd><dt>Rows</dt><dd>Varies</dd><dt>Topic</dt><dd>Environment</dd><dt>Provided in collaboration with</dt><dd>Associated Press</dd><dt>Featured uses</dt><dd><ul><li><a href="https://apnews.com/f76ef0bbbe184ccb8c2466e1209f731a">Fewer Americans buy insurance in coastal areas</a></li><li><a href="https://interactives.ap.org/us-flood-insurance/">U.S. drops in flood insurance coverage</a></li></ul></dd></dl><p>A cleaned, analysis-ready look at participation in the National Flood Insurance Program across more than 18,000 communities.</p><details><summary>Learn more about this dataset</summary><p>This dataset is a cleaned, analysis-ready look at community participation in the National Flood Insurance Program.</p><p>The original data, obtained from FEMA, captures in-force (active) policies, total insured value and total annual premium costs in more than 18,000 communities — across all 50 states and Washington, D.C. — on December 31, 2012 and June 30, 2017. Additionally, the Associated Press cleaned and enhanced the data with additional information, including:</p><ul><li>standardization of community names across both survey years to enable comparisons between 2012 and 2017 participation,</li><li>aggregation of data at the county and state level, and</li><li>appending Census FIPS codes to county-level data.</li></ul><p>The data also includes a summary table of total active policies, value, and premiums annual, between 1978 and 2017.</p><p>Using this dataset, the Associated Press showed that the number of active insurance policies has dropped 14 percent since peaking at 5.7 million in 2009. The steepest decline has been over the past five years. In 2017, there were a total of 4,943,218 policies active, and the insured property had a value of $1.23 trillion. In 2012, there were 5,496,457 policies active, and the insured property had a value of $1.27 trillion.<br></p><p>Since 2012, the number of properties covered under the flood insurance program has dropped 10 percent, from nearly 5.5 million to about 4.9 million. This is as the program has struggled financially to cover increasing amounts of losses from increasingly frequent flooding events.</p></details><div class="dataset-heading"><h3 id="national-inventory-of-dams" class="dataset-heading__title">National Inventory of Dams</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#national-inventory-of-dams","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#national-inventory-of-dams</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>U.S. Army Corps of Engineers</dd><dt>Date released</dt><dd>September 2015</dd><dt>Dates covered</dt><dd>2002, 2013</dd><dt>Rows</dt><dd>90,580</dd><dt>Topic</dt><dd>Business</dd><dt>Provided in collaboration with</dt><dd>Investigative Reporters and Editors</dd></dl><p>Structural information on dams in the United States, including recent inspections, that provides insight into aging infrastructure, emergency preparedness, and dam inspections.</p><details><summary>Learn more about this dataset</summary><p>The National Inventory of Dams (NID) provides structural information on dams in the United States, including some information from recent inspections.</p><p>Dams are included if they meet at least one of the following criteria:</p><ul><li>High hazard classification - loss of one human life is likely if the dam fails,</li><li>Significant hazard classification - possible loss of human life and likely significant property or environmental destruction,</li><li>Equal or exceed 25 feet in height and exceed 15 acre-feet in storage,</li><li>Equal or exceed 50 acre-feet storage and exceed 6 feet in height.</li></ul><p>For a reporter covering infrastructure or breaking news involving one of these structures, the NID is an important resource. Journalists have used the data to produce stories on aging infrastructure, emergency preparedness and lack of adequate dam inspections.</p><p>Data is available from both 2002 and 2013, based on periodic reports by the U.S. Army Corps of Engineers.</p></details><div class="dataset-heading"><h3 id="new-york-state-supreme-court-nuisance-abatement-actions" class="dataset-heading__title">New York State Nuisance Abatement Actions</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#new-york-state-supreme-court-nuisance-abatement-actions","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#new-york-state-supreme-court-nuisance-abatement-actions</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>New York State Supreme Court nuisance abatement filings, 2010 U.S. Census, NYPD precinct shapefiles</dd><dt>Date released</dt><dd>May 2016</dd><dt>Dates covered</dt><dd>January 2013-June 2014</dd><dt>Rows</dt><dd>1162</dd><dt>Topics</dt><dd><ul><li>Criminal Justice</li><li>Business</li></ul></dd><dt>Provided in collaboration with</dt><dd>New York Daily News</dd><dt>Featured uses</dt><dd><ul><li><a href="https://www.propublica.org/article/nypd-nuisance-abatement-evictions">The NYPD Is Kicking People Out of Their Homes, Even If They Haven’t Committed a Crime</a></li><li><a href="http://interactive.nydailynews.com/2016/02/nypd-nuisance-abatement-case-studies-interactive/index.html">Barred From Home</a></li><li><a href="https://www.propublica.org/article/nypd-nuisance-abatement-shop-stings-warrantless-searches">The NYPD is Running Stings Against Immigrant-Owned Shops, Then Pushing For Warrantless Searches</a></li></ul></dd></dl><p>A unique data set of 1,162 nuisance abatement actions filed in five New York State Supreme Courts between January 2013 and June 2014, geocoded and matched with racial and ethnographic demographics of location's census tract.</p><details><summary>Learn more about this dataset</summary><p>This data set contains information entered from nuisance abatement actions filed by the New York Police Department (NYPD) during 2013 and the first half of 2014. The actions, which target businesses and homes NYPD says have been used for illegal activity, were filed in five state Supreme Courts covering New York, Bronx, Kings, Queens and Richmond counties.</p></details><div class="dataset-heading"><h3 id="npi-open-payments-crosswalk" class="dataset-heading__title">NPI-Open Payments Crosswalk</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#npi-open-payments-crosswalk","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#npi-open-payments-crosswalk</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>ProPublica, Centers for Medicare & Medicaid Services</dd><dt>Date released</dt><dd>October 2019</dd><dt>Dates covered</dt><dd>2017-2018</dd><dt>Topic</dt><dd>Health</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/docdollars/">Dollars for Docs</a></li><li><a href="https://www.propublica.org/article/doctors-who-take-company-cash-tend-to-prescribe-more-brand-name-drugs">Now There’s Proof: Docs Who Get Company Cash Tend to Prescribe More Brand-Name Meds</a></li></ul></dd></dl><p>A unique NPI-Open Payments crosswalk, which matches providers Open Payment IDs to their National Provider Identifier (NPI) number. <em>Last updated October 3, 2019.</em></p><details><summary>Learn more about this dataset</summary><p>Dollars for Docs, ProPublica's <a href="https://projects.propublica.org/">free, online lookup tool</a>, compiles data on nearly $12 billion dollars in medical industry payments made to more than 1 million physicians in the United States between August 2013 and December 2018. Our unique crosswalk, which matches providers Open Payment IDs to their National Provider Identifier (NPI) number, enables <a href="https://www.propublica.org/datastore/dataset/dollars-for-docs" target="_blank" rel="noreferrer noopener">our premium Dollars for Docs dataset</a> to be used in conjunction with other provider-specific date sets that use NPI numbers. ProPublica matched approximately 99% of physicians to their NPI number.</p><p>We matched information from the Open Payments physician table to the National Plan & Provider Enumeration System (NPPES) to associate a National Provider Identifier to each physician's record in the Open Payments data. To increase the chances of a successful match, we performed this match against four versions of the NPPES database: March 11, 2018; September 11, 2016; July 12, 2015; and April 11, 2011. For records where a clear match was not found, we researched these records and manually selected the match where possible. We did not guess in any circumstance. More details are available in the documentation included as a sample download on this page.<br></p><p><em>Last updated October 3, 2019. To request student or journalist discount pricing for the crosswalk, <a href="/cdn-cgi/l/email-protection#e58d8089898aa595978a959087898c8684cb8a9782" target="_blank" rel="noreferrer noopener">contact us</a>.</em></p><p><br></p></details><div class="dataset-heading"><h3 id="pa-nursing-home-violations-1" class="dataset-heading__title">Nursing Home Sanctions in Pennsylvania</h3><script data-cfasync="false" src="/cdn-cgi/scripts/5c5dd728/cloudflare-static/email-decode.min.js"></script><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#pa-nursing-home-violations-1","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#pa-nursing-home-violations-1</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Pennsylvania Department of Health, Center for Medicare and Medicaid Services and news reports</dd><dt>Date released</dt><dd>March 2016</dd><dt>Dates covered</dt><dd>January 1997- February 2016</dd><dt>Rows</dt><dd>897</dd><dt>Topic</dt><dd>Health</dd><dt>Provided in collaboration with</dt><dd>Reading Eagle</dd></dl><p>This unique data set aggregates information from nearly 900 administrative orders, between 1997 and 2016, to provide a detailed look at health and safety sanctions in Pennsylvania nursing homes. The data has been cleaned and verified by Reading Eagle reporters.</p><details><summary>Learn more about this dataset</summary><p>Over the past two decades, half of Pennsylvania’s nursing homes have received a fine, ban, temporary or revoked license for serious deficiencies that jeopardized the health and safety of their residents. This unique data set aggregates information from nearly 900 administrative orders, dating back to 1997, to provide a detailed look at these sanctions.</p><p>The data was culled from a Right-to-Know request to the Pennsylvania Department of Health and it includes the sanction; order date; fine amounts and type of sanction, whether administrative in nature or a health and safety deficiency.</p><p>The database also includes the following information (updated as of Sept. 30, 2016) from Nursing Home Compare: number of certified beds; participation in Medicare and/or Medicaid; and star ratings.</p><p>Because nursing homes frequently change names and owners, The Reading Eagle updated this using information from the Center for Medicare and Medicaid Services, the health department, nursing home websites and press reports about facility closures.</p><p>The data was entered manually from letters provided in a PDF format, cleaned and standardized to ensure that all entries were presented in the same format. Then, ownership information was cross-checked against facility ID numbers and addresses.</p></details><div class="dataset-heading"><h3 id="partisan-advantage-in-the-2016-and-2018-elections" class="dataset-heading__title">Partisan Advantage in the 2016 and 2018 Elections</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#partisan-advantage-in-the-2016-and-2018-elections","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#partisan-advantage-in-the-2016-and-2018-elections</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Associated Press election services, individual states’ certified election results</dd><dt>Date released</dt><dd>April 2019</dd><dt>Dates covered</dt><dd>2016, 2018</dd><dt>Rows</dt><dd>varies</dd><dt>Methodology</dt><dd><a href="https://blog.ap.org/behind-the-news/how-to-quantify-gerrymandering-reporters-find-a-way">How to quantify gerrymandering? Reporters find a way</a></dd><dt>Topic</dt><dd>Politics</dd><dt>Provided in collaboration with</dt><dd>Associated Press</dd><dt>Featured uses</dt><dd><ul><li><a href="https://www.apnews.com/9fd72a4c1c5742aead977ee27815d776">GOP won more seats in 2018 than suggested by vote share</a></li><li><a href="https://www.apnews.com/fa6478e10cda4e9cbd75380e705bd380">Analysis indicates partisan gerrymandering has benefited GOP</a></li><li><a href="http://www.hotsr.com/news/2018/dec/03/missouri-turns-to-math-formula-to-deter/">Missouri turns to math formula to deter partisan gerrymandering</a></li></ul></dd></dl><p>This dataset includes vote totals by party in U.S. House races and 4,900 state-level House or Assembly races, as well as calculated measures of partisan advantage.</p><details><summary>Learn more about this dataset</summary><p>This data set contains the raw election data and an analysis of partisan advantage in all U.S. House races as well as about 4,900 state House and Assembly races in both 2018 and 2016 elections.</p><p>The analysis, conducted by the Associated Press after the 2016 and 2018 elections, used a mathematical formula called the "efficiency gap" to measure partisan advantage in the elections. The statistical analysis is designed to detect cases in which one party may have won, widened or retained its grip on power through partisan gerrymandering, the process of drawing congressional and state legislative seats to favor the majority party.</p><p>To produce efficiency gap scores for each state, the AP obtained vote totals for all U.S. and state House elections and calculated the share of the votes received by Republicans and Democrats in each district, excluding votes cast for independent and third-party candidates. From those figures, the AP calculated the statewide average share of the vote that each party received in state legislative races, and then compared that figure to the party's share of the seats won in that state.<br></p><p>This data set includes four files:</p><ul><li>State-level vote totals and efficiency gap calculations for the 2018 U.S. House elections. Seven states have only one U.S. House seat and aren't included. North Carolina's calculations are based on its 12 certified districts.</li><li>State-level vote totals and efficiency gap analysis for U.S. House races for the 2016 elections. Seven states have only one U.S. House seat and thus have no district data. Those states are Alaska, Delaware, Montana, North Dakota, South Dakota, Vermont and Wyoming.</li><li>Efficiency gap analysis on state legislature races for House or Assembly seats in 2018. Six states excluded from the data (see caveats): Louisiana, Mississippi, Nebraska, New Jersey, North Dakota and Virginia.</li><li>Efficiency gap analysis on state legislature races for House or Assembly seats in 2016. Eight states are excluded from the data (see caveats): Alabama, Louisiana, Maryland, Mississippi, Nebraska, New Jersey, North Dakota and Virginia.</li></ul><p>Additional details about the methodology and findings from the Associated Press analysis are available in the documentation included with purchase, as well as in the sample download available on this page.</p><p></p></details><div class="dataset-heading"><h3 id="police-officer-and-state-trooper-earnings-new-jersey" class="dataset-heading__title">Police Officer and State Trooper Earnings (New Jersey)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#police-officer-and-state-trooper-earnings-new-jersey","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#police-officer-and-state-trooper-earnings-new-jersey</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>463 municipal police departments, New Jersey State Police</dd><dt>Date released</dt><dd>January 2022</dd><dt>Dates covered</dt><dd>2019</dd><dt>Rows</dt><dd>23890</dd><dt>Methodology</dt><dd><a href="https://www.nj.com/news/2022/01/how-we-tracked-the-pay-of-24000-cops.html">How we tracked the pay of 24,000 cops</a></dd><dt>Topic</dt><dd>Criminal Justice</dd><dt>Provided in collaboration with</dt><dd>NJ Advance Media</dd><dt>Featured use</dt><dd><a href="https://projects.nj.com/paycheck/">The Pay Check</a></dd></dl><p>The 2019 earnings of of 21,000 local officers and 2,900 state troopers in New Jersey, including overtime, off-duty jobs and contractual perks.</p><details><summary>Learn more about this dataset</summary><p>This data set, created as part of a two-year investigation by NJ Advance Media for NJ.com, includes the 2019 earnings of of 21,000 local officers and 2,900 state troopers in New Jersey, including overtime, off-duty jobs and contractual perks that can add tens of thousands of dollars to the average officer’s paycheck. It is a comprehensive look at police compensation that researchers said has few parallels in the nation.</p><p>The effort required more than 700 public records requests and hundreds of hours of data inputting, since many municipalities provided only paper records that had to be broken down by hand. The resulting interactive database can be found at https://projects.nj.com/paycheck/. For more details on how we cleaned and analyzed the data, see our methodology.</p><p>This data is based on payroll records provided to the media outlet through public records requests to 463 municipal police departments and New Jersey State Police. To establish uniformity in the salary figures for each officer, state pension data was overlaid onto those records. (See our methodology).</p><p>NJ Advance Media has standardized officer names. The data covers earnings for 2019.</p><p><strong>What’s Included</strong></p><p>The master file (paycheck-data.csv) contains earnings figures of every local and state police officer by name and department in New Jersey. Descriptions of each column can be found in the data dictionary. Also included are pc_notes.docx, which has notes to the data; and pc_data_diary.xlsx, which defines the breakdown of pay at each department.</p></details><div class="dataset-heading"><h3 id="police-use-of-force-new-jersey" class="dataset-heading__title">Police Use of Force Reports (New Jersey)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#police-use-of-force-new-jersey","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#police-use-of-force-new-jersey</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>New Jersey state and municipal police departments; NJ.com</dd><dt>Date released</dt><dd>November 2018</dd><dt>Dates covered</dt><dd>2012-2016</dd><dt>Rows</dt><dd>70,556</dd><dt>Topic</dt><dd>Criminal Justice</dd><dt>Provided in collaboration with</dt><dd>NJ Advance Media</dd><dt>Featured use</dt><dd><a href="https://nj.com/force">The Force Report</a></dd></dl><p>This research-ready data set includes data on more than 70,000 police use-of-force incidents across all 468 New Jersey municipal police departments and the New Jersey State Police between 2012 and 2016.</p><details><summary>Learn more about this dataset</summary><p>This research-ready data set includes data on police use-of-force incidents across all 468 New Jersey municipal police departments and the New Jersey State Police between 2012 and 2016, compiled by NJ Advance Media.</p><p>Police are required to fill out the forms and detail what happened when they punch, pepper spray or use other force against someone in the state. NJ Advance Media filed 506 public records requests and received more than 70,000 forms covering 2012 through 2016. The data was cleaned, analyzed and compiled by department and officer to create <a href="https://NJ.com/force" target="_blank" rel="noreferrer noopener">a searchable database of use-of-force incidents</a> and a premium data download, available here.</p><p>The premium data download includes:<br></p><ul><li>Police use-of-force data that is sortable and quantifiable by town, officer, incident date or type of force, standardized by commonly accepted categories of force.</li><li>A full accounting of every form, which each has 40 to 60 data points with every detail an officer included about a specific incident. Among the data: date, type of force, race, age, incident type, injuries, reasons for force and charges.</li><li>Documentation outlining the methodology, data sources and a data dictionary.</li></ul><p>For more information about the available licenses, please review our<a href="https://www.propublica.org/datastore/terms" target="_blank" rel="noreferrer noopener"> Terms of Use</a>.</p></details><div class="dataset-heading"><h3 id="prescriber-checkup-2011" class="dataset-heading__title">Prescriber Checkup (2011)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#prescriber-checkup-2011","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#prescriber-checkup-2011</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Center for Medicare and Medicaid Services, American Geriatrics Society, First Databank, ProPublica</dd><dt>Date released</dt><dd>January 2013</dd><dt>Dates covered</dt><dd>2011</dd><dt>Rows</dt><dd>Varies</dd><dt>Topic</dt><dd>Health</dd><dt>Featured use</dt><dd><a href="https://projects.propublica.org/checkup/">Prescriber Checkup</a></dd></dl><p>Ready-to-use data on prescriptions made under Medicare's popular prescription-drug program, Medicare Part D, which serves 39 million people and pays for more than 1/4 of prescriptions written nationwide.</p><details><summary>Learn more about this dataset</summary><p>This dataset is ProPublica's premium version of the Medicare Part D data for 2011. Medicare’s popular prescription-drug program serves 39 million people and pays for more than one of every four prescriptions written nationwide. We've cleaned and analyzed Medicare Part D data from 2011 to offer a detailed look at individual providers prescribing habits. There are five total files:<br></p><ul><li>A main provider file that includes overall information for each provider, including name, location and summary prescription tallies. This includes all providers who wrote at least 50 prescriptions for at least one drug in 2011. All totals refer only to Part D.</li><li>A breakdown of the drugs prescribed by each provider.</li><li>A lookup file for drugs to determine if they are antipsychotics, benzodiazepines, Schedule 2/Schedule 3 or Beers drugs. We used information from the American Geriatrics Society to identify Beers drugs. We used information from CMS and First Databank to identify narcotic, benzodiazepine and antipsychotic drugs. CMS provided a list of antipsychotic medications, as well as Schedule 2/Schedule 3 drugs as they appeared on the DEA’s list in 2011.</li><li>A summary file of the top 500 drugs dispensed in Medicare Part D in 2011, based on the number of fills, including the respective fill rank and cost rank in each state.</li><li>Rankings for drugs within each specialty and state.</li></ul><p>Optional add-ons include:</p><ul><li>Custom runs by location, drug, or provider</li></ul></details><div class="dataset-heading"><h3 id="prescriber-checkup-2012" class="dataset-heading__title">Prescriber Checkup (2012)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#prescriber-checkup-2012","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#prescriber-checkup-2012</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Center for Medicare and Medicaid Services, ProPublica</dd><dt>Date released</dt><dd>January 2015</dd><dt>Dates covered</dt><dd>2012</dd><dt>Rows</dt><dd>Varies</dd><dt>Topic</dt><dd>Health</dd></dl><p>Ready-to-use data on $103.7 billion in prescriptions made under Medicare's popular prescription-drug program, Medicare Part D, which serves 39 million people and pays for more than 1/4 of prescriptions written nationwide.</p><details><summary>Learn more about this dataset</summary><p>This dataset is ProPublica's premium version of the Medicare Part D data for 2012. Medicare’s popular prescription-drug program serves 39 million people and pays for more than one of every four prescriptions written nationwide. We've cleaned and analyzed Medicare Part D data from 2012 to offer a detailed look at individual providers prescribing habits. There are five total files:<br></p><ul><li>A main provider file that includes overall information for each provider, including name, location and summary prescription tallies. This includes all providers who wrote at least 50 prescriptions for at least one drug in 2012. All totals refer only to Part D.</li><li>A breakdown of the drugs prescribed by each provider.</li><li>A lookup file for drugs to determine if they are antipsychotics, benzodiazepines, Schedule 2/Schedule 3 or Beers drugs. We used information from the American Geriatrics Society to identify Beers drugs. We used information from CMS and First Databank to identify narcotic, benzodiazepine and antipsychotic drugs. CMS provided a list of antipsychotic medications, as well as Schedule 2/Schedule 3 drugs as they appeared on the DEA’s list in 2012.</li><li>A summary file of the top 500 drugs dispensed in Medicare Part D in 2012, based on the number of fills, including the respective fill rank and cost rank in each state.</li><li>Rankings for drugs within each specialty and state.</li></ul></details><div class="dataset-heading"><h3 id="prescriber-checkup-2013" class="dataset-heading__title">Prescriber Checkup (2013)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#prescriber-checkup-2013","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#prescriber-checkup-2013</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Center for Medicare and Medicaid Services</dd><dt>Date released</dt><dd>June 2015</dd><dt>Dates covered</dt><dd>2013</dd><dt>Rows</dt><dd>Varies</dd><dt>Topic</dt><dd>Health</dd></dl><p>Ready-to-use data on $103.7 billion in prescriptions made under Medicare's popular prescription-drug program, Medicare Part D, which serves 39 million people and pays for more than 1/4 of prescriptions written nationwide.</p><details><summary>Learn more about this dataset</summary><p>This dataset is ProPublica's premium version of the Medicare Part D data for 2013. Medicare’s popular prescription-drug program serves 39 million people and pays for more than one of every four prescriptions written nationwide. We've cleaned and analyzed Medicare Part D data from 2013 to offer a detailed look at individual providers prescribing habits. There are five total files:<br></p><ul><li>A main provider file that includes overall information for each provider, including name, location and summary prescription tallies. This includes all providers who wrote at least 50 prescriptions for at least one drug in 2013. All totals refer only to Part D.</li><li>A breakdown of the drugs prescribed by each provider.</li><li>A lookup file for drugs to determine if they are antipsychotics, benzodiazepines, Schedule 2/Schedule 3 or Beers drugs. We used information from the American Geriatrics Society to identify Beers drugs. We used information from CMS and First Databank to identify narcotic, benzodiazepine and antipsychotic drugs. CMS provided a list of antipsychotic medications, as well as Schedule 2/Schedule 3 drugs as they appeared on the DEA’s list in 2013.</li><li>A summary file of all drugs dispensed in Medicare Part D in 2013, based on the number of fills, including the respective fill rank and cost rank in each state.</li><li>Rankings for drugs within each specialty and state.</li></ul><p>Optional add-ons include:</p><ul><li>Custom runs by location, drug, or provider ID</li><li>Open Payments/NPI number crosswalk for linking prescribing data to <a href="http://127.0.0.1:8000/dataset/dollars-for-docs-data-2013-2014">Dollars for Docs data</a></li></ul></details><div class="dataset-heading"><h3 id="prescriber-checkup-2014" class="dataset-heading__title">Prescriber Checkup (2014)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#prescriber-checkup-2014","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#prescriber-checkup-2014</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Center for Medicare and Medicaid Services</dd><dt>Date released</dt><dd>November 2016</dd><dt>Dates covered</dt><dd>2014</dd><dt>Rows</dt><dd>Varies</dd><dt>Topic</dt><dd>Health</dd></dl><p>Ready-to-use data on 1.4 billion prescriptions made under Medicare's popular prescription-drug program, Medicare Part D, which serves 41 million people and pays for more than 1/4 of prescriptions written nationwide.</p><details><summary>Learn more about this dataset</summary><p>This dataset is ProPublica's premium version of the Medicare Part D data for 2014. Medicare’s popular prescription-drug program serves 41 million people and pays for more than one of every four prescriptions written nationwide. We've cleaned and analyzed Medicare Part D data from 2014 to offer a detailed look at individual providers' prescribing habits. There are five total files:<br></p><ul><li>A main provider file that includes overall information for each provider, including name, location and summary prescription tallies. This includes all providers who wrote at least 50 prescriptions for at least one drug in 2014. All totals refer only to Part D.</li><li>A breakdown of the drugs prescribed by each provider.</li><li>A lookup file for drugs to determine if they fall into specific categories, including antibiotics, Beers list drugs, and more.</li><li>A summary file of all drugs dispensed in Medicare Part D in 2014, based on the number of fills, including the respective fill rank and cost rank in each state.</li><li>Rankings for drugs within each specialty and state.</li></ul><p>Optional add-ons include:</p><ul><li>Custom runs by location, drug, or provider ID</li><li>Open Payments/NPI number crosswalk for linking prescribing data to <a href="http://127.0.0.1:8000/dataset/dollars-for-docs-data-2013-2014">Dollars for Docs data</a></li></ul></details><div class="dataset-heading"><h3 id="prescriber-checkup-2015" class="dataset-heading__title">Prescriber Checkup (2015)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#prescriber-checkup-2015","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#prescriber-checkup-2015</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Center for Medicare and Medicaid Services</dd><dt>Date released</dt><dd>November 2016</dd><dt>Dates covered</dt><dd>2015</dd><dt>Rows</dt><dd>Varies</dd><dt>Topic</dt><dd>Health</dd></dl><p>Ready-to-use data on 1.4 billion prescriptions made under Medicare's popular prescription-drug program, Medicare Part D, which serves 41 million people and pays for more than 1/4 of prescriptions written nationwide.</p><details><summary>Learn more about this dataset</summary><p>This dataset is ProPublica's premium version of the Medicare Part D data for 2015. Medicare’s popular prescription-drug program serves 41 million people and pays for more than one of every four prescriptions written nationwide. We've cleaned and analyzed Medicare Part D data from 2015 to offer a detailed look at individual providers' prescribing habits. There are five total files:<br></p><ul><li>A main provider file that includes overall information for each provider, including name, location and summary prescription tallies. This includes all providers who wrote at least 50 prescriptions for at least one drug in 2015. All totals refer only to Part D.</li><li>A breakdown of the drugs prescribed by each provider.</li><li>A lookup file for drugs to determine if they fall into specific categories, including antibiotics, Beers list drugs, and more.</li><li>A summary file of all drugs dispensed in Medicare Part D in 2015, based on the number of fills, including the respective fill rank and cost rank in each state.</li><li>Rankings for drugs within each specialty and state.</li></ul></details><div class="dataset-heading"><h3 id="prescriber-checkup" class="dataset-heading__title">Prescriber Checkup (Current Year)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#prescriber-checkup","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#prescriber-checkup</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Center for Medicare and Medicaid Services</dd><dt>Date released</dt><dd>August 2017</dd><dt>Dates covered</dt><dd>2011-2015, years sold separately</dd><dt>Rows</dt><dd>Varies</dd><dt>Topic</dt><dd>Health</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/checkup/">Prescriber Checkup</a></li><li><a href="https://www.propublica.org/article/high-dollar-prescribers-proliferate-in-medicare-drug-program">High-dollar Prescribers Proliferate in Medicare’s Drug Program</a></li></ul></dd></dl><p>Ready-to-use data on billions prescriptions made under Medicare's popular prescription-drug program, Medicare Part D, which serves 42 million people and pays for more than 1/4 of prescriptions written nationwide. <em>Updates annually</em></p><details><summary>Learn more about this dataset</summary><p>This dataset is ProPublica's premium version of the Medicare Part D data. We use it to publish our online lookup tool, <a href="https://projects.propublica.org/checkup">Prescriber Checkup</a>.</p><p>In 2016, the latest year for which our data is available, Medicare’s popular prescription-drug program served 42 million people and pays for more than one of every four prescriptions written nationwide. We've cleaned and analyzed Medicare Part D data each year from 2011-2016 to offer a detailed look at individual providers' prescribing habits. This page includes a representative sample of the data and the option to purchase the data from 2016, which is the most current year of data available; <a href="https://www.propublica.org/datastore/collection/prescriber-checkup" target="_blank" rel="noreferrer noopener">individual previous years can be purchased separately here</a>.</p><p>Purchase of this data set includes five total files:<br></p><ul><li>A main provider file that includes overall information for each provider, including name, location and summary prescription tallies. This includes all providers who wrote at least 50 prescriptions (in Medicare Part D) for at least one drug in the covered calendar year. About 447,000 providers met that criteria.</li><li>A breakdown of the drugs prescribed by each provider.</li><li>A lookup file for drugs to determine if they fall into specific categories, including antibiotics, Beers list drugs, and more.</li><li>A summary file of all drugs dispensed in Medicare Part D in the covered calendar year, based on the number of fills, including the respective fill rank and cost rank in each state.</li><li>Rankings for drugs within each specialty and state.</li></ul><p>To purchase previous years, <a href="https://www.propublica.org/datastore/collection/prescriber-checkup">browse the archived years</a>.<br></p></details><div class="dataset-heading"><h3 id="dollars-for-docs-medicare-part-d-top-50-drugs-2016" class="dataset-heading__title">Prescribing Patterns and Industry Payments for Top 50 Drugs</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#dollars-for-docs-medicare-part-d-top-50-drugs-2016","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#dollars-for-docs-medicare-part-d-top-50-drugs-2016</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Centers for Medicare and Medicaid Services</dd><dt>Date released</dt><dd>July 2018</dd><dt>Dates covered</dt><dd>2016</dd><dt>Rows</dt><dd>2,677,042</dd><dt>Methodology</dt><dd><a href="https://projects.propublica.org/graphics/d4dpartd-methodology">How We Analyzed Doctors’ Pharma Industry Ties and Medicare Prescribing</a></dd><dt>Topics</dt><dd><ul><li>Health</li><li>Business</li></ul></dd><dt>Featured uses</dt><dd><ul><li><a href="https://www.propublica.org/article/doctors-prescribe-more-of-a-drug-if-they-receive-money-from-a-pharma-company-tied-to-it">Doctors Prescribe More of a Drug If They Receive Money from a Pharma Company Tied to It</a></li><li><a href="https://projects.propublica.org/checkup">Prescriber Checkup</a></li></ul></dd></dl><p>A custom data set for evaluating the relationship between provider prescribing habits and industry payments, based on 2016 Medicare Part D and Open Payments data.</p><details><summary>Learn more about this dataset</summary><p>This analysis-ready data set includes information on health care providers who prescribed any of the top 50 most-prescribed or top 50 most-costly brand-name drugs in Medicare’s prescription drug program, known as Medicare Part D, in 2016. ProPublica linked this prescribing data with information on industry payments to doctors under the Open Payments program to generate more than 2.6 million doctor-drug combinations.</p><p>Each doctor-drug combination includes the provider’s NPI number and speciality, the drug name, whether it is a top 50 drug by prescribing volume or price, the number and value of Medicare Part D claims made for each drug, the total number and value of industry payments received (by type), and total claims filled by each provider’s patients for all drugs under Medicare Part D.</p><p>ProPublica’s analysis found that for almost all of the 50 most-prescribed brand-name drugs in Medicare’s prescription drug program in 2016, physicians who had an interaction with the manufacturer involving that drug prescribed the drug at higher rates than physicians who did not. We also found that among providers who had such interactions, the dollar value of those interactions was larger for physicians who prescribed the drug than for those who did not. (As an additional sensitivity check, we conducted the same analysis looking at the 50 most-costly brand-name drugs in Medicare’s prescription drug program.)</p><p>With the available observational data we are not able to say whether payments lead to prescribing that is counter to patients’ interests, but our analysis provides new insight into the dynamics between doctors’ industry interactions and their prescribing.</p><p>Code behind our analysis is <a href="https://github.com/propublica/d4dPartD-analysis" target="_blank" rel="noreferrer noopener">available on Github</a>.</p><p>For each drug, health care providers are included in the dataset if they appeared in Open Payments in relation to the drug and/or if there were 11 or more claims for the drug from the provider under Medicare Part D. (The Part D data released from CMS redacts prescribers with fewer than 11 claims for a drug.)</p><p>Open Payments data from ‘general payments’ are included. Research payments and ownership interests are excluded.</p><p>Providers whose NPI could not be determined are not included in the data, nor are providers such as nurse practitioners, who are not covered by Open Payments.</p></details><div class="dataset-heading"><h3 id="propublicas-bailout-data" class="dataset-heading__title">ProPublica's Bailout Data</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#propublicas-bailout-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#propublicas-bailout-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Treasury Department; SEC filings</dd><dt>Dates covered</dt><dd>2009-Present</dd><dt>Rows</dt><dd>Varies</dd><dt>Topic</dt><dd>Business</dd><dt>Featured use</dt><dd><a href="http://www.propublica.org/article/the-bailout-by-the-actual-numbers">The Bailout: By The Actual Numbers</a></dd></dl><p>A database of expenditures by the Treasury Department through both the TARP bill and the separate bailout of Fannie Mae and Freddie Mac.</p><details><summary>Learn more about this dataset</summary><p>This is ProPublica’s Bailout data. The dataset is primarily derived from reports issued by the Treasury Department. The sole exception is data for Fannie Mae and Freddie Mac, which is derived from quarterly and annual SEC filings by the two companies (follow the links to each company’s filings).<br></p><p>The database includes data on expenditures by the Treasury Department via both the broader $700 billion TARP bill (later reduced to $475 billion) and the separate bailout of Fannie Mae and Freddie Mac. The downloadable version of the data available for purchase includes summary data for each entity that received funds from the bailout programs, as well as detailed data on all transactions with the Treasury by the given entity – both disbursements to the entity and payments back to the Treasury.</p><p>A readme file, included with the sample, provides more detailed information about what data is available.</p></details><div class="dataset-heading"><h3 id="recovery-tracker-data-1" class="dataset-heading__title">Recovery Tracker Data</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#recovery-tracker-data-1","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#recovery-tracker-data-1</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Recovery.gov, USAspending.gov</dd><dt>Date released</dt><dd>July 2012</dd><dt>Dates covered</dt><dd>Feburary 2009 - June 2012</dd><dt>Rows</dt><dd>472059</dd><dt>Methodology</dt><dd><a href="https://www.propublica.org/article/how-we-compiled-and-analyzed-stimulus-spending-805">How We Compiled and Analyzed Stimulus Spending</a></dd><dt>Topic</dt><dd>Business</dd><dt>Featured use</dt><dd><a href="https://projects.propublica.org/recovery/">Recovery Tracker</a></dd></dl><p>A clean, research-ready database of how federal stimulus money was spent between February 2009 and June 2012.</p><details><summary>Learn more about this dataset</summary><p>This <a href="https://projects.propublica.org/recovery">database</a> combines records from the recipient-reported data on <a href="http://www.recovery.gov/?q=content/investment-award">Recovery.gov</a> and Recovery Act grants and loans reported by agencies on <a href="http://usaspending.gov/">USAspending.gov</a> . In cases where we found the same record reported in both data sets, we removed the duplicates. It’s possible we missed some duplicates because of differences in the records. We filled in missing information and corrected data entry errors when we found them and could verify the information.</p><p>With our data set, you can query by federal agency, state, county, or recipient, as well as total cash amount. Data also includes payment descriptions. You also can track companies by DUNS number to see what grants, loans or contracts they received. A DUNS number is a unique nine-digit number used to identify a company or an organization. The numbers are issued by Dun & Bradstreet, which provides business information for credit and marketing. (Warning: Some companies have multiple DUNS numbers for different locations.)</p><p>We’ve also edited the code for the <em>Catalog of Federal Domestic Assistance (CFDA code). </em>Contracts from Recovery.gov, do not include a CFDA number. So we’ve generated one based on the awarding agency to help you figure out what sorts of projects were funded in our area.</p></details><div class="dataset-heading"><h3 id="school-segregation-charter-district-data" class="dataset-heading__title">School Segregation Data</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#school-segregation-charter-district-data","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#school-segregation-charter-district-data</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Department of Education (Ed Facts and Common Core of Data), Stanford Education Data Archive, State Education Agencies, Associated Press</dd><dt>Date released</dt><dd>December 2017</dd><dt>Dates covered</dt><dd>2000-2001 to 2014-2015 school years</dd><dt>Rows</dt><dd>Varies</dd><dt>Topic</dt><dd>Education</dd><dt>Provided in collaboration with</dt><dd>Associated Press</dd></dl><p>A cleaned, analysis-ready look at diversity, achievement and segregation in each school division and in each individual traditional and charter K-12 school in the country.</p><details><summary>Learn more about this dataset</summary><p>This dataset is a cleaned, analysis-ready look at diversity, achievement and segregation in each school division and in each individual traditional and charter K-12 school in the country.</p><p>The original data, obtained from the National Center for Education Statistics and ED Facts under the Department of Education, provide annual enrollment figures and proficiency measures at all U.S. public schools from the 2000-01 school year to the 2014-15 school year. The AP cleaned and enhanced this data with additional information, including using the charter school crosswalk from the Stanford Education Data Archive to identify the district ID of the school district that geographically contains a given charter school.</p><p>Additionally, The Associated Press created several measures to weigh a school’s demographic similarity to its district, its concentration of certain demographic groups of students, and its ‘Entropy’ – a measure of evenness of demographic categories. At the district level, the AP has provided a similarity score and created an ‘Entropy Index’ for each district, so reporters could identify districts that are more partitioned along racial lines.</p><p>These measurements can be used to reach conclusions such as “50 percent of black students in Milwaukee attend schools that are at least 90 percent black” and “Norland Middle School is one of the most dissimilar schools in the Dade County School District: over 95% of its students are black, compared to only 22% in the district as a whole.”</p><p>Using this dataset, the <a href="https://www.apnews.com/e9c25534dfd44851a5e56bd57454b4f5" target="_blank" rel="noreferrer noopener">Associated Press reported</a> that:</p><ul><li>Nationwide, segregation metrics such as the exposure index show that school segregation has been returning to its Civil Rights-era levels.</li><li>The proportion of charter schools that are over 99% nonwhite nationwide is 17%, in contrast to only 4.5% of traditional schools.</li><li>While charter school quality is highly varied across districts, charter schools that are overwhelmingly minority lag behind both more integrated charter and traditional schools in the same district.</li></ul><p>Download additional documentation and a sample of the data by completing the form on this page.</p></details><div class="dataset-heading"><h3 id="sba-7a-business-loans" class="dataset-heading__title">Small Business Loans</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#sba-7a-business-loans","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#sba-7a-business-loans</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>U.S. Small Business Administration</dd><dt>Date released</dt><dd>January 2016</dd><dt>Dates covered</dt><dd>1990 - 2015</dd><dt>Rows</dt><dd>1,357,810</dd><dt>Topic</dt><dd>Business</dd><dt>Provided in collaboration with</dt><dd>Investigative Reporters and Editors</dd></dl><p>Information on the loans given to small businesses owners and franchises under the Small Business Administration's popular 7a program. Includes all data 1990-2015.</p><details><summary>Learn more about this dataset</summary><p>The SBA 7a business loans database contains information about loans guaranteed by the U.S. Small Business Administration under its main lending program, known as 7a. The data include loans approved by the SBA since 1990, when Congress created the agency to help entrepreneurs form or expand small enterprises.</p><p>The SBA's 7a program provides loans to small business owners who can't obtain financing through traditional channels. The program operates through private-sector lenders who provide loans that are, in turn, guaranteed by the SBA. The SBA7a program itself has no funds for direct lending or grants.</p><p>The data contain information on the business getting the loan including address and industry code, the bank lending the money, the amount loaned, and (where applicable) whether the loan was paid in full or charged off.</p><p>This data set includes all records 1990 - 2015.<br></p></details><div class="dataset-heading"><h3 id="surgeon-scorecard-1" class="dataset-heading__title">Surgeon Scorecard</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#surgeon-scorecard-1","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#surgeon-scorecard-1</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>Centers for Medicare & Medicaid Services Inpatient Limited Data Set; ProPublica</dd><dt>Date released</dt><dd>September 2015</dd><dt>Dates covered</dt><dd>2009-2013</dd><dt>Rows</dt><dd>23370</dd><dt>Methodology</dt><dd><a href="https://www.propublica.org/article/surgeon-level-risk-short-methodology">How We Measured Surgical Complications</a></dd><dt>Topic</dt><dd>Health</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/surgeons/">Surgeon Scorecard</a></li><li><a href="https://www.propublica.org/article/surgery-risks-patient-safety-surgeon-matters">Why Choosing the Right Surgeon Matters Even More Than You Know</a></li></ul></dd></dl><p>ProPublica's Surgeon Scorecard provides a unique quality-of-care metric, based on an analysis of nearly 17,000 surgeons performing one of eight elective procedures in Medicare.</p><details><summary>Learn more about this dataset</summary><p>ProPublica's <a href="https://projects.propublica.org/surgeons">Surgeon Scorecard</a> provides a unique quality-of-care metric, based on an analysis of nearly 17,000 surgeons performing one of eight elective procedures in Medicare. This dataset is the raw data behind our online lookup tool.</p><p>The data, which has been carefully adjusted for differences in patient health, age and hospital quality, reveals wide variations in complication rates for some of the most routine elective procedures. We focused on eight common elective surgeries – knee replacements, hip replacements, three types of spinal fusions, one in the neck and two in the lower back, gall bladder removals, prostate removals, and prostate resections.</p><p>Derived from billing records for in-patient hospital stays from 2009 through 2013, this data set includes:</p><ul><li>Basic identifying information for each included surgeon, as well as his/her performance measures, including the Adjusted Complication Rate, by procedure.</li><li>Basic descriptive information for each hospital as it appears in <a href="https://projects.propublica.org/surgeons">Surgeon Scorecard</a></li><li>A crosswalk that allows the matching of surgeons to hospitals</li><li>A table of "low-volume" surgeons who performed at least one, but fewer than 20 of a particular procedure in our data.</li></ul><p>Read a <a href="https://static.propublica.org/projects/patient-safety/methodology/surgeon-level-risk-methodology.pdf" target="_blank" rel="noreferrer noopener">longer, more technical methodology</a> and <a href="https://static.propublica.org/projects/patient-safety/methodology/surgeon-level-risk-appendices.pdf" target="_blank" rel="noreferrer noopener">its appendices</a>.</p></details><div class="dataset-heading"><h3 id="treatment-tracker" class="dataset-heading__title">Treatment Tracker Data</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#treatment-tracker","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#treatment-tracker</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>ProPublica, Centers for Medicare and Medicaid Services, National Plan and Provider Enumeration System, American Medical Association</dd><dt>Dates covered</dt><dd>2013-2015 (years sold separately)</dd><dt>Methodology</dt><dd><a href="https://www.propublica.org/article/treatment-tracker-methodology">Treatment Tracker Methodology</a></dd><dt>Topic</dt><dd>Health</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/treatment/">Treatment Tracker</a></li><li><a href="https://www.propublica.org/article/billing-to-the-max-docs-charge-medicare-top-rate-for-office-visits">Top Billing: Meet the Docs who Charge Medicare Top Dollar for Office Visits</a></li><li><a href="https://www.propublica.org/article/patient-guide">Patient Guide</a></li></ul></dd></dl><p>This dataset provides details on payments made through Medicare Part B to individual doctors and other health professionals for services as varied as office visits, ambulance mileage, lab tests, and the doctor’s fee for open-heart surgery. <em>Updates annually</em></p><details><summary>Learn more about this dataset</summary><p>This dataset is ProPublica's version of Medicare Part B data. It includes information on payments to individual doctors and other health professionals serving more than 33 million seniors and disabled individuals in its Part B program. Part B covers services as varied as office visits, ambulance mileage, lab tests, and the doctor’s fee for open-heart surgery. We use it to publish our online lookup tool, <a href="https://projects.propublica.org/treatment">Treatment Tracker</a>. Data is available for <a href="https://www.propublica.org/datastore/dataset/treatment-tracker-2013">2013</a>, <a href="https://www.propublica.org/datastore/dataset/treatment-tracker-2014">2014</a>, and <a href="https://www.propublica.org/datastore/dataset/treatment-tracker-2015">2015</a>.</p><p>Our cleaned, aggregated version of this data includes two tables:</p><ul><li><strong>Providers</strong>: a summary table of the total number of patients treated by each provider in Medicare's Part B program and the total amount paid, among other things; and</li><li><strong>Treatments</strong>: for each provider who received payments under Part B, our treatment-level data includes the number of times a service was performed, the number of patients treated, and the number of unique patient visits during which each service was performed; as well as detailed information about allowed, total, and average payments for the services provided.</li></ul><p>Please note that the data does not include Medicare Advantage plans, which are the health plans Medicare beneficiaries can choose in place of the traditional program. (These programs are more popular in some parts of the country than others.) Nor does it include services delivered to patients with other coverage, such as private health insurance or Medicaid.<br></p><p>The Medicare Part B data captures both medical services as well as drugs dispensed in a facility or a physician's office. Because doctors have to purchase drugs, and they can be expensive, CMS specifically denotes payments relating to drugs and those relating to medical services. Those distinctions are noted in both files.</p><p><em>Note: The sample provided here includes documentation for data from 2015 and sample data from 2014. Both are representative of the data from all three available years: 2013, 2014, and 2015.</em></p></details><div class="dataset-heading"><h3 id="treatment-tracker-2013" class="dataset-heading__title">Treatment Tracker Data (2013)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#treatment-tracker-2013","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#treatment-tracker-2013</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>ProPublica, Centers for Medicare and Medicaid Services, National Plan and Provider Enumeration System, American Medical Association</dd><dt>Dates covered</dt><dd>2013-2015 (years sold separately)</dd><dt>Methodology</dt><dd><a href="https://www.propublica.org/article/treatment-tracker-methodology">Treatment Tracker Methodology</a></dd><dt>Topic</dt><dd>Health</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/treatment/">Treatment Tracker</a></li><li><a href="https://www.propublica.org/article/billing-to-the-max-docs-charge-medicare-top-rate-for-office-visits">Top Billing: Meet the Docs who Charge Medicare Top Dollar for Office Visits</a></li><li><a href="https://www.propublica.org/article/patient-guide">Patient Guide</a></li></ul></dd></dl><p>This dataset provides details on payments made through Medicare Part B to individual doctors and other health professionals for services as varied as office visits, ambulance mileage, lab tests, and the doctor’s fee for open-heart surgery. <em>Updates annually</em></p><details><summary>Learn more about this dataset</summary><p>This dataset is ProPublica's version of Medicare Part B data. It includes information on payments to individual doctors and other health professionals serving more than 33 million seniors and disabled individuals in its Part B program. Part B covers services as varied as office visits, ambulance mileage, lab tests, and the doctor’s fee for open-heart surgery. We use it to publish our online lookup tool, <a href="https://projects.propublica.org/treatment">Treatment Tracker</a>.</p><p>Our cleaned, aggregated version of this data includes two tables:</p><ul><li><strong>Providers</strong>: a summary table of the total number of patients treated by each provider in Medicare's Part B program and the total amount paid, among other things; and</li><li><strong>Treatments</strong>: for each provider who received payments under Part B, our treatment-level data includes the number of times a service was performed, the number of patients treated, and the number of unique patient visits during which each service was performed; as well as detailed information about allowed, total, and average payments for the services provided.</li></ul><p>Please note that the data does not include Medicare Advantage plans, which are the health plans Medicare beneficiaries can choose in place of the traditional program. (These programs are more popular in some parts of the country than others.) Nor does it include services delivered to patients with other coverage, such as private health insurance or Medicaid.<br></p><p>The Medicare Part B data captures both medical services as well as drugs dispensed in a facility or a physician's office. Because doctors have to purchase drugs, and they can be expensive, CMS specifically denotes payments relating to drugs and those relating to medical services. Those distinctions are noted in both files. Data is available for 2013, 2014, and 2015.</p><p><em>Note: The sample provided here includes documentation for data from 2015 and sample data from 2014. Both are representative of the data from all three available years: 2013, 2014, and 2015. <a href="https://bizdevtest.propublica.org/datastore/collection/treatment-tracker">See all years available here</a>.</em></p></details><div class="dataset-heading"><h3 id="treatment-tracker-2014" class="dataset-heading__title">Treatment Tracker Data (2014)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#treatment-tracker-2014","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#treatment-tracker-2014</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>ProPublica, Centers for Medicare and Medicaid Services, National Plan and Provider Enumeration System, American Medical Association</dd><dt>Dates covered</dt><dd>2013-2015 (years sold separately)</dd><dt>Methodology</dt><dd><a href="https://www.propublica.org/article/treatment-tracker-methodology">Treatment Tracker Methodology</a></dd><dt>Topic</dt><dd>Health</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/treatment/">Treatment Tracker</a></li><li><a href="https://www.propublica.org/article/billing-to-the-max-docs-charge-medicare-top-rate-for-office-visits">Top Billing: Meet the Docs who Charge Medicare Top Dollar for Office Visits</a></li><li><a href="https://www.propublica.org/article/patient-guide">Patient Guide</a></li></ul></dd></dl><p>This dataset provides details on payments made in 2014 through Medicare Part B to individual doctors and other health professionals for services as varied as office visits, ambulance mileage, lab tests, and the doctor’s fee for open-heart surgery.</p><details><summary>Learn more about this dataset</summary><p>This dataset is ProPublica's version of Medicare Part B data. It includes information on payments to individual doctors and other health professionals serving more than 33 million seniors and disabled individuals in its Part B program. Part B covers services as varied as office visits, ambulance mileage, lab tests, and the doctor’s fee for open-heart surgery. We use it to publish our online lookup tool, <a href="https://projects.propublica.org/treatment">Treatment Tracker</a>.</p><p>This is the data from 2014. Our cleaned, aggregated version of this data includes two tables:</p><ul><li><strong>Providers</strong>: a summary table of the total number of patients treated by each provider in Medicare's Part B program and the total amount paid, among other things; and</li><li><strong>Treatments</strong>: for each provider who received payments under Part B, our treatment-level data includes the number of times a service was performed, the number of patients treated, and the number of unique patient visits during which each service was performed; as well as detailed information about allowed, total, and average payments for the services provided.</li></ul><p>Please note that the data does not include Medicare Advantage plans, which are the health plans Medicare beneficiaries can choose in place of the traditional program. (These programs are more popular in some parts of the country than others.) Nor does it include services delivered to patients with other coverage, such as private health insurance or Medicaid.<br></p><p>The Medicare Part B data captures both medical services as well as drugs dispensed in a facility or a physician's office. Because doctors have to purchase drugs, and they can be expensive, CMS specifically denotes payments relating to drugs and those relating to medical services. Those distinctions are noted in both files.</p><p><em>Note: The sample provided here includes documentation for data from 2015 and sample data from 2014. Both are representative of the data from all three available years: 2013, 2014, and 2015. <a href="https://bizdevtest.propublica.org/datastore/collection/treatment-tracker">See all years available here</a>.</em></p></details><div class="dataset-heading"><h3 id="treatment-tracker-2015" class="dataset-heading__title">Treatment Tracker Data (2015)</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#treatment-tracker-2015","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#treatment-tracker-2015</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>ProPublica, Centers for Medicare and Medicaid Services, National Plan and Provider Enumeration System, American Medical Association</dd><dt>Dates covered</dt><dd>2013-2015 (years sold separately)</dd><dt>Methodology</dt><dd><a href="https://www.propublica.org/article/treatment-tracker-methodology">Treatment Tracker Methodology</a></dd><dt>Topic</dt><dd>Health</dd><dt>Featured uses</dt><dd><ul><li><a href="https://projects.propublica.org/treatment/">Treatment Tracker</a></li><li><a href="https://www.propublica.org/article/billing-to-the-max-docs-charge-medicare-top-rate-for-office-visits">Top Billing: Meet the Docs who Charge Medicare Top Dollar for Office Visits</a></li><li><a href="https://www.propublica.org/article/patient-guide">Patient Guide</a></li></ul></dd></dl><p>This dataset provides details on payments made in 2015 through Medicare Part B to individual doctors and other health professionals for services as varied as office visits, ambulance mileage, lab tests, and the doctor’s fee for open-heart surgery.</p><details><summary>Learn more about this dataset</summary><p>This dataset is ProPublica's version of Medicare Part B data. It includes information on payments to individual doctors and other health professionals serving more than 33 million seniors and disabled individuals in its Part B program. Part B covers services as varied as office visits, ambulance mileage, lab tests, and the doctor’s fee for open-heart surgery. We use it to publish our online lookup tool, <a href="https://projects.propublica.org/treatment">Treatment Tracker</a>.</p><p>This is the data from 2015. Our cleaned, aggregated version of this data includes two tables:</p><ul><li><strong>Providers</strong>: a summary table of the total number of patients treated by each provider in Medicare's Part B program and the total amount paid, among other things; and</li><li><strong>Treatments</strong>: for each provider who received payments under Part B, our treatment-level data includes the number of times a service was performed, the number of patients treated, and the number of unique patient visits during which each service was performed; as well as detailed information about allowed, total, and average payments for the services provided.</li></ul><p>Please note that the data does not include Medicare Advantage plans, which are the health plans Medicare beneficiaries can choose in place of the traditional program. (These programs are more popular in some parts of the country than others.) Nor does it include services delivered to patients with other coverage, such as private health insurance or Medicaid.<br></p><p>The Medicare Part B data captures both medical services as well as drugs dispensed in a facility or a physician's office. Because doctors have to purchase drugs, and they can be expensive, CMS specifically denotes payments relating to drugs and those relating to medical services. Those distinctions are noted in both files.</p><p><em>Note: The sample provided here includes documentation for data from 2015 and sample data from 2014. Both are representative of the data from all three available years: 2013, 2014, and 2015. <a href="https://www.propublica.org/datastore/collection/treatment-tracker">See all years available here</a>.</em></p></details><div class="dataset-heading"><h3 id="first-fall-last-spring-freeze-noaa" class="dataset-heading__title">U.S. Freeze Seasons, 1917-2017</h3><script type="application/json" class="svelte-config">{"componentName":"CopyButton","props":{"textToCopy":"https://projects.propublica.org/datastore/#first-fall-last-spring-freeze-noaa","buttonProps":{"shape":"circle","iconOnly":true,"bgColor":"transparent","textColor":"currentColor"}},"contextArray":[]}</script><div class="copy-button-wrapper svelte-16zs5c6" style="position: relative;"><textarea class="copy-button-textarea svelte-16zs5c6 copy-button-textarea--hide" readonly="readonly" aria-hidden="true" tabindex="-1">https://projects.propublica.org/datastore/#first-fall-last-spring-freeze-noaa</textarea><div class="copy-button-tooltip svelte-16zs5c6 -js-hide"><span>Link Copied!</span></div><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: currentColor; --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: 1em;"><span class="icon-before svelte-1qpwxqa"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Link</title><path d="M10 13a5 5 0 007.54.54l3-3a5 5 0 00-7.07-7.07l-1.72 1.71"></path><path d="M14 11a5 5 0 00-7.54-.54l-3 3a5 5 0 007.07 7.07l1.71-1.71"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Copy</span></button></div></div><dl class="text-sans"><dt>Source</dt><dd>National Oceanic and Atmospheric Administration</dd><dt>Date released</dt><dd>October 2017</dd><dt>Dates covered</dt><dd>1917-2017</dd><dt>Topic</dt><dd>Environment</dd><dt>Provided in collaboration with</dt><dd>Associated Press</dd><dt>Featured use</dt><dd><a href="https://apnews.com/664a16182cbc4e3e9a26957f3cddc927">Science Says: Jack Frost nipping at your nose ever later</a></dd></dl><p>The dates of the first fall freeze and last spring freeze for 700 locations across the United States.</p><details><summary>Learn more about this dataset</summary><p>Each year, the National Weather Service records the dates of the first fall season freeze and the last spring season freeze at hundreds of weather stations around the country. The Associated Press has collected data from 700 of the most complete locations between 1917 and 2017, and combined it with additional geographic information about the location of each station, calculated the mean and median for each location, and appended a NOAA-provided probability of first freeze dates, based between 1981 and 2010.</p><p>The raw data was provided by the National Centers for Environmental Information at the National Oceanic and Atmospheric Administration (NOAA). The data shows that the date of the first freeze of the year has fallen further down the calendar over the last several decades — and last year extended that trend. Last year, the average first frost day at the included stations was two weeks later than average, while the last frost of spring was nine days earlier.<br></p></details></div></article></main><script type="application/json" class="svelte-config">{"componentName":"SiteFooter","props":{},"contextArray":[]}</script><footer class="site-footer hide-print svelte-m9jkvx" id="site-footer" data-pp-location="footer"><div class="site-footer__section-newsletter svelte-m9jkvx"><div class="site-footer__newsletter-wrap svelte-m9jkvx"><strong class="site-footer__newsletter-heading svelte-m9jkvx" data-svelte-h="svelte-1f8pah3">Stay informed with the Daily Digest.</strong><div class="newsletter-signup__input-wrap svelte-m9jkvx"><form class="newsletter-signup" action="https://signup.propublica.org/newsletter/turing" method="post" name="newsletterSignup"><div role="region" aria-live="polite" class="newsletter-signup__feedback" data-svelte-h="svelte-2nawdb"><p class="newsletter-signup__error-message"></p></div><div class="newsletter-signup__input-wrap newsletter-signup__input-wrap--null svelte-10wydf7"><span class="icon"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round"><title>Mail</title><path d="M4 4h16c1.1 0 2 .9 2 2v12c0 1.1-.9 2-2 2H4c-1.1 0-2-.9-2-2V6c0-1.1.9-2 2-2z"></path><polyline points="22,6 12,13 2,6"></polyline></svg></span><label for="site-footer-signup" class="a11y">Email Address:</label> <input class="newsletter-signup__input-text svelte-10wydf7" type="email" placeholder="Enter your email" id="site-footer-signup" name="email" onfocus="recaptchaInit()" required><div class="newsletter-signup__submit-btn-wrapper svelte-10wydf7"><button class="button shape--circle button-is-icon-only svelte-1qpwxqa" data-pp-skip="false" style="--button-bg-color: transparent; --button-border: none; --button-color: var(--color-light-none); --button-font-size: var(--scale-1); --button-horizontal-spacing: var(--scale-1); --button-size: var(--scale3); --icon-size: fill;"><span class="icon-before svelte-1qpwxqa"><svg role="img" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg"><title>Arrow Right</title><path fill-rule="evenodd" clip-rule="evenodd" d="M22 12C22 17.5228 17.5228 22 12 22C6.47715 22 2 17.5228 2 12C2 6.47715 6.47715 2 12 2C17.5228 2 22 6.47715 22 12ZM16.7064 11.2922L12.7071 7.29289C12.3166 6.90237 11.6834 6.90237 11.2929 7.29289C10.9024 7.68342 10.9024 8.31658 11.2929 8.70711L13.5858 11H8C7.44772 11 7 11.4477 7 12C7 12.5523 7.44772 13 8 13H13.5858L11.2929 15.2929C10.9024 15.6834 10.9024 16.3166 11.2929 16.7071C11.6834 17.0976 12.3166 17.0976 12.7071 16.7071L16.7064 12.7078L16.7136 12.7005C16.8901 12.5208 16.9992 12.2746 17 12.003L17 12L17 11.997C16.9996 11.8625 16.9727 11.7343 16.9241 11.6172C16.8764 11.502 16.8063 11.3938 16.7136 11.2995L16.7064 11.2922Z" fill="currentColor"></path></svg></span><span class="text font--sans svelte-1qpwxqa a11y">Sign Up</span></button></div><input type="hidden" name="stlist" value="The Daily Digest"> <input type="hidden" name="success_location" value="https://www.propublica.org/forms/thankyou"> <input type="hidden" name="error_location" value="https://www.propublica.org/forms/error"> <input type="hidden" name="placement" value="site-footer"> <input type="hidden" name="region" value="national"> <input type="hidden" name="source" value="https://projects.propublica.org/"></div><div class="newsletter-signup__post-signup-prompt" role="region" aria-live="polite" data-svelte-h="svelte-1uvtbcq"></div></form></div></div></div><div class="site-footer__wrap-outer svelte-m9jkvx"><div class="site-footer__wrap-inner svelte-m9jkvx"><div class="site-footer__section-logo svelte-m9jkvx"><a class="site-footer__wordmark svelte-m9jkvx" href="https://www.propublica.org/"><svg role="img" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 574.24 75" fill="currentColor"><title>ProPublica</title><path d="M66.4,13.48,66,14.91l6.23,11.45,1.15.47L75,26.29V75H50.95A41.2,41.2,0,0,0,62.13,46.88a40.61,40.61,0,0,0-3.39-16.26,45.17,45.17,0,0,1,7.79-4.95l1.69-.2.14-.41L65,18.83H64.5l-.88,1.29c-2.91,1.9-4.67,2.3-8.54,3.79A41.35,41.35,0,0,0,20.46,5.42,39.87,39.87,0,0,0,0,10.91V0H75V8.81ZM57.32,47A37.54,37.54,0,0,1,44.65,75H0V16A37,37,0,0,1,57.32,47ZM43.7,37.06c0-8.13-6-12-17.75-12H7.18v3.66l4.2.95V62.2l-4.2.95v3.73H27.85V63.14l-7.18-.95V50.14h5.15C37.26,50.14,43.7,45.53,43.7,37.06Zm-9.76.27c0,5.15-2.78,8.33-7.25,8.33h-6V29.47H27C31.37,29.47,33.94,32.32,33.94,37.33Z"></path><path d="M116.53,60.07l9.15,1.08v4.2H99.39v-4.2l5.28-1.36v-44l-5.28-1.36V10.41H123c15.31,0,22.9,5.28,22.9,16.13,0,11.18-8.33,17.41-23.1,17.41h-6.3Zm0-21.14h6.84c6.44,0,10.5-4.61,10.5-12.06,0-7.18-3.73-11.45-10.09-11.45h-7.25Z"></path><path d="M200.74,61.15v4.2H185.9l-16-20.6h-2.51v15l5.28,1.36v4.2H150.27v-4.2l5.28-1.36V23.35l-5-1.36V17.93H175.2c10.5,0,17.55,5.08,17.55,12.67,0,8.4-5.76,12.2-11,13.55l13.48,15.79ZM167.41,39.74h4.47c5.76,0,8.81-3.18,8.81-8.88,0-5.35-2.85-7.93-8.81-7.93h-4.47Z"></path><path d="M199.59,41.64c0-14.77,9.82-24.73,25.68-24.73s25.68,10,25.68,24.73-9.82,24.73-25.68,24.73S199.59,56.48,199.59,41.64Zm38.89,0c0-9.69-3.25-19.17-13.21-19.17S212.05,32,212.05,41.64s3.25,19.17,13.21,19.17S238.48,51.33,238.48,41.64Z"></path><path d="M270.79,60.07l9.15,1.08v4.2H253.31v-4.2l5.62-1.36v-44l-5.62-1.36V10.41h24c15.31,0,22.9,5.28,22.9,16.13,0,11.18-8.33,17.41-23.1,17.41h-6.3Zm0-21.14h6.84c6.44,0,10.5-4.61,10.5-12.06,0-7.18-3.73-11.45-10.1-11.45h-7.25Z"></path><path d="M354.26,22l-4.95,1.36V47c0,12.87-7.79,19.38-20.05,19.38-13.62,0-20.73-7.86-20.73-20v-23L303.58,22V17.93h22V22l-5.08,1.36V47.74c0,7.25,4.34,12.06,11.45,12.06,6.84,0,11.25-4.47,11.25-11.31V23.35L338.14,22V17.93h16.12Z"></path><path d="M403.85,52.21c0,8.88-7.11,13.14-22,13.14H357.58v-4.2l5.56-1.36V23.35L358.26,22V17.93h23.92c12.6,0,19.51,3.79,19.51,11.72,0,6.17-4.06,9.08-10.91,9.89v.27C399.31,40.76,403.85,45.1,403.85,52.21ZM375,38.32h5.76c6.1,0,9-2.78,9-7.79,0-5.22-3.12-7.59-9-7.59H375Zm16.8,13.41c0-5.62-3.79-8.67-11.25-8.67H375V60.34h6.64C388.07,60.34,391.79,57.29,391.79,51.74Z"></path><path d="M451.07,48.62l-4.4,16.73H408v-4.2l5.28-1.36V23.35L407.65,22V17.93h22.76V22l-5.28,1.36v37l14.16-.81L447,47.26Z"></path><path d="M475.4,61.15v4.2H453v-4.2l5.28-1.36V23.35L453,22V17.93H475.4V22l-5.28,1.36V59.8Z"></path><path d="M478,41.78c0-15.85,12.13-24.86,27-24.86a35.6,35.6,0,0,1,18.29,5.15l-2,13.21h-4.2l-1.69-9.08a13.23,13.23,0,0,0-10.09-4.13c-9.15,0-14.7,6.57-14.7,18.22,0,13.21,6.84,19.31,15.24,19.31,6.17,0,10.23-3.39,13.41-9.55l4.27,2c-4.27,10-11.65,14.36-21.07,14.36C488.4,66.37,478,56.48,478,41.78Z"></path><path d="M574.24,61.15v4.2H551.48v-4.2L557,60l-2.85-8.13h-16.6l-3.12,8.2,5.42,1.15-.07,4.2-16.53-.07v-4.2l4.27-1.08,14.9-37.33-4-1.29V17.93h13.69L569.3,60Zm-27.57-31-.47-1.56-.47,1.56-6.23,16.73h12.94Z"></path></svg></a><strong class="site-footer__tagline svelte-m9jkvx" data-svelte-h="svelte-1xxi0b1">Investigative Journalism in the Public Interest</strong><p class="site-footer__copyright svelte-m9jkvx">© Copyright 2025 Pro Publica Inc.</p></div><nav class="site-footer__section-links svelte-m9jkvx"><div class="site-footer__links-sites svelte-m9jkvx"><strong class="site-footer__links-heading svelte-m9jkvx">Sites</strong><ul class="site-footer__links-list svelte-m9jkvx hide-below-sm" id="site-footer__links-list-sites"><li class="site-footer__link"><a href="https://www.propublica.org/" class="svelte-m9jkvx">ProPublica</a></li><li class="site-footer__link"><a href="https://www.propublica.org/local-reporting-network/" class="svelte-m9jkvx">Local Reporting Network</a></li><li class="site-footer__link"><a href="https://www.propublica.org/texas/" class="svelte-m9jkvx">Texas Tribune Partnership</a></li><li class="site-footer__link"><a href="https://www.propublica.org/datastore/" class="svelte-m9jkvx">The Data Store</a></li><li class="site-footer__link"><a href="https://www.propublica.org/electionland/" class="svelte-m9jkvx">Electionland</a></li></ul></div><div class="site-footer__links-sections svelte-m9jkvx"><strong class="site-footer__links-heading svelte-m9jkvx">Sections</strong><ul class="site-footer__links-list svelte-m9jkvx hide-below-sm" id="site-footer__links-list-sections"><li class="site-footer__link"><a href="https://www.propublica.org/topics/" class="svelte-m9jkvx">Topics</a></li><li class="site-footer__link"><a href="https://www.propublica.org/series/" class="svelte-m9jkvx">Series</a></li><li class="site-footer__link"><a href="https://www.propublica.org/video/" class="svelte-m9jkvx">Videos</a></li><li class="site-footer__link"><a href="https://www.propublica.org/newsapps/" class="svelte-m9jkvx">News Apps</a></li><li class="site-footer__link"><a href="https://www.propublica.org/getinvolved/" class="svelte-m9jkvx">Get Involved</a></li><li class="site-footer__link"><a href="https://www.propublica.org/nerds/" class="svelte-m9jkvx">The Nerd Blog</a></li><li class="site-footer__link"><a href="https://www.propublica.org/atpropublica/" class="svelte-m9jkvx">@ProPublica</a></li><li class="site-footer__link"><a href="https://www.propublica.org/events/" class="svelte-m9jkvx">Events</a></li></ul></div><div class="site-footer__links-info svelte-m9jkvx"><strong class="site-footer__links-heading svelte-m9jkvx">Info</strong><ul class="site-footer__links-list svelte-m9jkvx hide-below-sm" id="site-footer__links-list-info"><li class="site-footer__link"><a href="https://www.propublica.org/about/" class="svelte-m9jkvx">About</a></li><li class="site-footer__link"><a href="https://www.propublica.org/leadership/" class="svelte-m9jkvx">Board and Advisors</a></li><li class="site-footer__link"><a href="https://www.propublica.org/staff/" class="svelte-m9jkvx">Officers and Staff</a></li><li class="site-footer__link"><a href="https://www.propublica.org/diversity/" class="svelte-m9jkvx">Diversity</a></li><li class="site-footer__link"><a href="https://www.propublica.org/jobs/" class="svelte-m9jkvx">Jobs</a> and <a href="https://www.propublica.org/fellowships/" class="svelte-m9jkvx">Fellowships</a></li><li class="site-footer__link"><a href="https://www.propublica.org/media-center/" class="svelte-m9jkvx">Media Center</a></li><li class="site-footer__link"><a href="https://www.propublica.org/reports/" class="svelte-m9jkvx">Reports</a></li><li class="site-footer__link"><a href="https://www.propublica.org/impact/" class="svelte-m9jkvx">Impact</a></li><li class="site-footer__link"><a href="https://www.propublica.org/awards/" class="svelte-m9jkvx">Awards</a></li><li class="site-footer__link"><a href="https://www.propublica.org/corrections/" class="svelte-m9jkvx">Corrections</a></li></ul></div><div class="site-footer__links-policies svelte-m9jkvx"><strong class="site-footer__links-heading svelte-m9jkvx">Policies</strong><ul class="site-footer__links-list svelte-m9jkvx hide-below-sm" id="site-footer__links-list-policies"><li class="site-footer__link"><a href="https://www.propublica.org/code-of-ethics/" class="svelte-m9jkvx">Code of Ethics</a></li><li class="site-footer__link"><a href="https://www.propublica.org/advertising/" class="svelte-m9jkvx">Advertising Policy</a></li><li class="site-footer__link"><a href="https://www.propublica.org/legal/" class="svelte-m9jkvx">Privacy Policy</a></li></ul></div><div class="site-footer__links-follow svelte-m9jkvx"><strong class="site-footer__links-heading svelte-m9jkvx">Follow</strong><ul class="site-footer__links-list svelte-m9jkvx hide-below-sm" id="site-footer__links-list-follow"><li class="site-footer__link"><a href="https://www.propublica.org/newsletters/" data-pp-view="" data-pp-action="visit" class="svelte-m9jkvx">Newsletters</a></li><li class="site-footer__link"><a href="https://itunes.apple.com/us/app/propublica/id355298887?mt=8" class="svelte-m9jkvx">iOS</a> and <a href="https://play.google.com/store/apps/details?id=com.propublica&amp;hl=en" class="svelte-m9jkvx">Android</a></li><li class="site-footer__link"><a href="https://www.propublica.org/feeds/propublica/main" class="svelte-m9jkvx">RSS Feed</a></li></ul></div><div class="site-footer__links-more svelte-m9jkvx"><strong class="site-footer__links-heading svelte-m9jkvx">More</strong><ul class="site-footer__links-list svelte-m9jkvx hide-below-sm" id="site-footer__links-list-more"><li class="site-footer__link"><a href="https://www.propublica.org/tips/" class="svelte-m9jkvx">Send Us Tips</a></li><li class="site-footer__link"><a href="https://www.propublica.org/steal-our-stories/" class="svelte-m9jkvx">Steal Our Stories</a></li><li class="site-footer__link"><a href="http://p53lf57qovyuvwsc6xnrppyply3vtqm7l6pcobkmyqsiofyeznfu5uqd.onion/" class="svelte-m9jkvx">Browse via Tor</a></li><li class="site-footer__link"><a href="https://www.propublica.org/contact/" class="svelte-m9jkvx">Contact Us</a></li><li class="site-footer__link"><a href="https://www.propublica.org/donate/" data-pp-view="" data-pp-action="visit classy" class="svelte-m9jkvx">Donate</a></li><li class="site-footer__link"><a href="https://www.propublica.org/support/other-ways-to-give/" class="svelte-m9jkvx">More Ways to Give</a></li></ul></div></nav></div></div></footer><script type="application/json" class="svelte-config">{"componentName":"BottomPanelCta","props":{"contentUrl":"https://www.propublica.org/api_components/modal-default.json"},"contextArray":[]}</script><div data-pp-location="modal" data-pp-view data-pp-category="newsletter_signup" id="cta" class="cta cta-type-panel cta-fixed cta-closed svelte-rz6ji1" aria-hidden="true"><button id="cta-close" class="cta-close svelte-rz6ji1" data-svelte-h="svelte-12f7hfy"><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="svelte-rz6ji1"><line x1="18" y1="6" x2="6" y2="18"></line><line x1="6" y1="6" x2="18" y2="18"></line></svg></button><div class="cta-container cta-undefined svelte-rz6ji1"><div class="cta-message svelte-rz6ji1"><h2 class="cta-heading svelte-rz6ji1">undefined</h2><p class="cta-text svelte-rz6ji1">undefined</p></div></div></div><div id="cta-toast" class="cta-toast svelte-rz6ji1" role="alert" style="background-color: var(--blue-70);"><div id="cta-toast-text" class="cta-toast-text svelte-rz6ji1"></div><button id="cta-toast-button" class="cta-toast-button svelte-rz6ji1" data-svelte-h="svelte-8kx5h6"><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="svelte-rz6ji1"><line x1="18" y1="6" x2="6" y2="18"></line><line x1="6" y1="6" x2="18" y2="18"></line></svg></button></div><script id="google-analytics-metadata" type="application/json">{"pageType":"Externals","contentLanguage":"en","articleTitle":"Data Store Archive","authorName":"ProPublica","publicationDate":"February 13, 2025","storyType":"Other","contentRegion":"National"}</script><script>window.dataLayer = [JSON.parse( document.querySelector("#google-analytics-metadata").textContent )];</script><script src="https://cdn.parsely.com/keys/propublica.org/p.js" async></script><script src="https://assets.propublica.org/legacy/js/public/assets/beacons_v2.js" async></script><script type="application/ld+json">{"@context":"http://schema.org","@type":"WebPage","keywords":["newsApp:Data Store Archive"],"creator":["ProPublica"],"datePublished":"2025-02-13","headline":"Data Store Archive"}</script></body></html>