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href="https://blog.popdata.org/category/data-projects/ipums-time-use/">Time Use</a></li> <li id="menu-item-882" class="menu-item menu-item-type-taxonomy menu-item-object-category menu-item-882"><a href="https://blog.popdata.org/category/data-projects/ipums-usa/">USA</a></li> </ul> </li> <li id="menu-item-936" class="menu-item menu-item-type-custom menu-item-object-custom menu-item-936"><a target="_blank" href="https://ipums.org/what-is-ipums">About IPUMS</a></li> <li id="menu-item-1004" class="menu-item menu-item-type-custom menu-item-object-custom menu-item-1004"><a target="_blank" href="https://www.ipums.org/">IPUMS.ORG</a></li> </ul></div> </div> </nav> <div id="page" class="hfeed site grid-container container grid-parent"> <div id="content" class="site-content"> <div id="primary" class="content-area grid-parent mobile-grid-100 push-25 grid-75 tablet-push-25 tablet-grid-75"> <main id="main" class="site-main"> <article id="post-3434" class="post-3434 post type-post status-publish format-standard hentry category-data category-data-access-core category-ipums-cps" itemtype="https://schema.org/CreativeWork" itemscope> <div class="inside-article"> <header class="entry-header"> <h2 class="entry-title" itemprop="headline"><a href="https://blog.popdata.org/ipums-cps-basic-monthly-data/" rel="bookmark">IPUMS CPS Checks on Basic Monthly Data</a></h2> <div class="entry-meta"> <span class="posted-on"><a href="https://blog.popdata.org/ipums-cps-basic-monthly-data/" title="11:01 am" rel="bookmark"><time class="entry-date published" datetime="2025-04-09T11:01:38-05:00" itemprop="datePublished">April 9, 2025</time></a></span> <span class="byline">by <span class="author vcard" itemprop="author" itemtype="https://schema.org/Person" itemscope><a class="url fn n" href="https://blog.popdata.org/author/mpcblog/" title="View all posts by mpcblog" rel="author" itemprop="url"><span class="author-name" itemprop="name">mpcblog</span></a></span></span> </div> </header> <div class="entry-content" itemprop="text"> <p><em>By Sarah Flood, Renae Rodgers, and Kari Williams</em></p> <p>Federal data are critical for understanding much about the US population from its size and composition to its health and employment. The Current Population Survey (CPS) is our nation’s official source of information about the labor force. At the beginning of each month, we eagerly await the first Friday when the Employment Situation Summary (aka the monthly jobs report) will be released (it isn’t just us, right??). The monthly snapshot of the US labor force serves as a bellwether for how our economy is faring.</p> <p>The Wednesday after the jobs report is released, we at IPUMS clear the decks in preparation for the release of the CPS Basic Monthly Survey (BMS) by the Census Bureau. The CPS BMS is the individual-level data from which the jobs report is generated. Our goal is always to process these data as soon as they’re released by the Census Bureau so that we can deliver them to <a href="https://cps.ipums.org/cps/" target="_blank" rel="noopener">IPUMS CPS</a> users as quickly as possible. Those who rely on CPS BMS data each month might be familiar with coping strategies while waiting for the data–obsessive page refreshing, some nervous pacing, maybe wondering why they haven’t yet been released (iykyk).</p> <p>While quickly processing CPS Basic Monthly data is a priority, so, too, is ensuring data quality. Each month, we carefully inspect CPS BMS data at several points in our process. First, we review all of the variables for codes that are undocumented or have suspicious frequencies. Second, we rely on a suite of tools during our integration process that alert us to any codes in the data that we haven’t accounted for in our variable-level harmonizations. After harmonization, we compare univariate statistics from the newest month data to the previous month of data. Generally we expect very little change across months and we have built tools that are designed to flag variable-level differences above a certain threshold as well as new codes on either end of the distribution.</p> <p class="read-more-container"><a class="read-more content-read-more" href="https://blog.popdata.org/ipums-cps-basic-monthly-data/">Continue reading…</a></p> </div> <footer class="entry-meta"> <span class="cat-links"><span class="screen-reader-text">Categories </span><a href="https://blog.popdata.org/category/data/" rel="category tag">Data</a>, <a href="https://blog.popdata.org/category/data-access-core/" rel="category tag">Data Access</a>, <a href="https://blog.popdata.org/category/data-projects/ipums-cps/" rel="category tag">IPUMS CPS</a></span> </footer> </div> </article> <article id="post-3432" class="post-3432 post type-post status-publish format-standard hentry category-data category-data-integration category-ipums-nhgis" itemtype="https://schema.org/CreativeWork" itemscope> <div class="inside-article"> <header class="entry-header"> <h2 class="entry-title" itemprop="headline"><a href="https://blog.popdata.org/introducing-the-r-spatial-notebook-series/" rel="bookmark">Unlocking Spatial and Social Data with R: Introducing the R Spatial Notebook Series</a></h2> <div class="entry-meta"> <span class="posted-on"><a href="https://blog.popdata.org/introducing-the-r-spatial-notebook-series/" title="11:18 am" rel="bookmark"><time class="entry-date published" datetime="2025-04-04T11:18:02-05:00" itemprop="datePublished">April 4, 2025</time></a></span> <span class="byline">by <span class="author vcard" itemprop="author" itemtype="https://schema.org/Person" itemscope><a class="url fn n" href="https://blog.popdata.org/author/mpcblog/" title="View all posts by mpcblog" rel="author" itemprop="url"><span class="author-name" itemprop="name">mpcblog</span></a></span></span> </div> </header> <div class="entry-content" itemprop="text"> <p><em>By Kate Vavra-Musser</em></p> <h1>Introduction: What is the R Spatial Notebooks Project?</h1> <p>The <a href="https://vavramusser.github.io/r-spatial" target="_blank" rel="noopener">R Spatial Notebooks Project</a> is a series of R code notebooks, structured like a textbook, designed to guide users through the intricacies of data extraction, integration, cleaning, analysis, and visualization using R. The notebooks are specifically tailored for social science research and applications using spatial data. The modular textbook-style structure is designed for comprehensive skill development by working through sequences of notebooks. The project was developed through a partnership between the <a href="https://isrdi.umn.edu/" target="_blank" rel="noopener">Institute for Social Research and Data Innovation</a> (ISDRI), which houses IPUMS, and the Institute for Geospatial Understanding through an <a href="https://i-guide.io/" target="_blank" rel="noopener">Integrated Discovery Environment</a> (I-GUIDE). IPUMS provides census and survey data from around the world integrated across time and space. I-GUIDE is cyberinfrastructure that combines distributed geospatial data with computing for researchers, students, and policymakers.</p> <p>The initial R Spatial Notebooks release includes roughly 20 freely-available notebooks on topics including IPUMS data extraction via API, accessing open-source data, data cleaning, foundational spatial data principles, exploratory data analysis, and mapping.</p> <p class="read-more-container"><a class="read-more content-read-more" href="https://blog.popdata.org/introducing-the-r-spatial-notebook-series/">Continue reading…</a></p> </div> <footer class="entry-meta"> <span class="cat-links"><span class="screen-reader-text">Categories </span><a href="https://blog.popdata.org/category/data/" rel="category tag">Data</a>, <a href="https://blog.popdata.org/category/data-integration/" rel="category tag">Data Integration</a>, <a href="https://blog.popdata.org/category/data-projects/ipums-nhgis/" rel="category tag">IPUMS NHGIS</a></span> </footer> </div> </article> <article id="post-3426" class="post-3426 post type-post status-publish format-standard hentry category-data category-ipumsinternational" itemtype="https://schema.org/CreativeWork" itemscope> <div class="inside-article"> <header class="entry-header"> <h2 class="entry-title" itemprop="headline"><a href="https://blog.popdata.org/international-spring-2025/" rel="bookmark">New Data! IPUMS International Spring 2025 Data Release</a></h2> <div class="entry-meta"> <span class="posted-on"><a href="https://blog.popdata.org/international-spring-2025/" title="11:06 am" rel="bookmark"><time class="entry-date published" datetime="2025-03-17T11:06:56-05:00" itemprop="datePublished">March 17, 2025</time></a></span> <span class="byline">by <span class="author vcard" itemprop="author" itemtype="https://schema.org/Person" itemscope><a class="url fn n" href="https://blog.popdata.org/author/mpcblog/" title="View all posts by mpcblog" rel="author" itemprop="url"><span class="author-name" itemprop="name">mpcblog</span></a></span></span> </div> </header> <div class="entry-content" itemprop="text"> <p><em>By Derek Burk, Lara Cleveland, Jane Lee, Rodrigo Lovaton, and Sula Sarkar</em></p> <p><img fetchpriority="high" decoding="async" class="alignleft wp-image-3427" src="https://blog.popdata.org/wp-content/uploads/2025/03/Exciting-news-150x150.jpg" alt="Megaphone with Exciting news speech bubble banner." width="250" height="250" srcset="https://blog.popdata.org/wp-content/uploads/2025/03/Exciting-news-150x150.jpg 150w, https://blog.popdata.org/wp-content/uploads/2025/03/Exciting-news-300x300.jpg 300w, https://blog.popdata.org/wp-content/uploads/2025/03/Exciting-news.jpg 612w" sizes="(max-width: 250px) 100vw, 250px" /></p> <p>Great news for <a href="https://international.ipums.org/international/" target="_blank" rel="noopener">IPUMS International</a> (IPUMSI) users! Our ever-expanding census and survey data collection has just released new harmonized census samples from Honduras (2013), Kenya (2019), Malawi (2018), Mongolia (2010, 2020), and Mozambique (2017). We now have an average of 4.5 censuses per country. The Kenya census collection now spans 50 years!</p> <p>This release also includes a large series of quarterly Labor Force Surveys from the Philippines (1997-2019). The 91 waves of the Philippines Labor Force Survey contain a total of 18 million person records.</p> <p>Many thanks to the National Statistical Office partners in these countries for their ongoing contributions.</p> <p class="read-more-container"><a class="read-more content-read-more" href="https://blog.popdata.org/international-spring-2025/">Continue reading…</a></p> </div> <footer class="entry-meta"> <span class="cat-links"><span class="screen-reader-text">Categories </span><a href="https://blog.popdata.org/category/data/" rel="category tag">Data</a>, <a href="https://blog.popdata.org/category/data-projects/ipumsinternational/" rel="category tag">IPUMS International</a></span> </footer> </div> </article> <article id="post-3413" class="post-3413 post type-post status-publish format-standard hentry category-data category-data-integration category-ipums-dhs category-ipums-global-health category-ipums-mics category-ipums-pma" itemtype="https://schema.org/CreativeWork" itemscope> <div class="inside-article"> <header class="entry-header"> <h2 class="entry-title" itemprop="headline"><a href="https://blog.popdata.org/combining-global-health-surveys/" rel="bookmark">Tools for Combining Data Across IPUMS Global Health Surveys</a></h2> <div class="entry-meta"> <span class="posted-on"><a href="https://blog.popdata.org/combining-global-health-surveys/" title="9:58 am" rel="bookmark"><time class="updated" datetime="2025-04-03T15:25:39-05:00" itemprop="dateModified">April 3, 2025</time><time class="entry-date published" datetime="2025-03-03T09:58:17-06:00" itemprop="datePublished">March 3, 2025</time></a></span> <span class="byline">by <span class="author vcard" itemprop="author" itemtype="https://schema.org/Person" itemscope><a class="url fn n" href="https://blog.popdata.org/author/mpcblog/" title="View all posts by mpcblog" rel="author" itemprop="url"><span class="author-name" itemprop="name">mpcblog</span></a></span></span> </div> </header> <div class="entry-content" itemprop="text"> <p><em>By Miriam King, Devon Kristiansen, and Anna Bolgrien</em></p> <p><a href="https://globalhealth.ipums.org/" target="_blank" rel="noopener">IPUMS Global Health</a> includes integrated data from three international health surveys: Demographic and Health Surveys (IPUMS DHS), Multiple Indicator Cluster Surveys (IPUMS MICS), and Performance Monitoring for Action (IPUMS PMA). All three surveys are nationally representative, primarily focus on low- and middle-income countries, and address issues related to the health and well-being of women and young children. These commonalities make combining integrated data across these data collections appealing. As Figure 1 shows, IPUMS DHS and IPUMS MICS cover different countries; combining them extends the geographic coverage of harmonized versions of data covering similar topics. Researchers can also combine data for those countries included in both IPUMS DHS and IPUMS MICS to provide additional observation points for time-series analyses.</p> <h2>Figure 1: Countries covered by IPUMS DHS and IPUMS MICS</h2> <p><img decoding="async" class="aligncenter wp-image-3414 size-large" src="https://blog.popdata.org/wp-content/uploads/2025/02/MICS_DHS-scaled-e1738960731880-1024x581.jpg" alt="World map with the countries included in IPUMS MICS and IPUMS DHS shaded in" width="1024" height="581" srcset="https://blog.popdata.org/wp-content/uploads/2025/02/MICS_DHS-scaled-e1738960731880-1024x581.jpg 1024w, https://blog.popdata.org/wp-content/uploads/2025/02/MICS_DHS-scaled-e1738960731880-300x170.jpg 300w, https://blog.popdata.org/wp-content/uploads/2025/02/MICS_DHS-scaled-e1738960731880-768x436.jpg 768w, https://blog.popdata.org/wp-content/uploads/2025/02/MICS_DHS-scaled-e1738960731880-1536x871.jpg 1536w, https://blog.popdata.org/wp-content/uploads/2025/02/MICS_DHS-scaled-e1738960731880-2048x1161.jpg 2048w" sizes="(max-width: 1024px) 100vw, 1024px" /></p> <p>Researchers who want to carry out cross-survey analyses face practical challenges. IPUMS imposes consistent variable names and codes <em>within</em> one kind of survey (DHS, MICS, or PMA); harmonized variable names and codes differ <em>between</em> these surveys. On each project’s website, the documentation for each variable highlights comparability issues to keep in mind when combining multiple samples, either within one type of survey or across survey types. IPUMS users must make separate customized data files from each database and merge those files. And subtle differences in question wording, skip patterns, geographic boundaries, and sampling procedures—such as MICS’ taking reports on child health from caretakers other than the biological mother—can introduce inconsistencies and inadvertent errors.</p> <p class="read-more-container"><a class="read-more content-read-more" href="https://blog.popdata.org/combining-global-health-surveys/">Continue reading…</a></p> </div> <footer class="entry-meta"> <span class="cat-links"><span class="screen-reader-text">Categories </span><a href="https://blog.popdata.org/category/data/" rel="category tag">Data</a>, <a href="https://blog.popdata.org/category/data-integration/" rel="category tag">Data Integration</a>, <a href="https://blog.popdata.org/category/data-projects/ipums-dhs/" rel="category tag">IPUMS DHS</a>, <a href="https://blog.popdata.org/category/data-projects/ipums-global-health/" rel="category tag">IPUMS Global Health</a>, <a href="https://blog.popdata.org/category/data-projects/ipums-mics/" rel="category tag">IPUMS MICS</a>, <a href="https://blog.popdata.org/category/data-projects/ipums-pma/" rel="category tag">IPUMS PMA</a></span> </footer> </div> </article> <article id="post-3401" class="post-3401 post type-post status-publish format-standard hentry category-data category-ipums-cps category-ipums-meps" itemtype="https://schema.org/CreativeWork" itemscope> <div class="inside-article"> <header class="entry-header"> <h2 class="entry-title" itemprop="headline"><a href="https://blog.popdata.org/ipums-sda-online-data-analysis-tool/" rel="bookmark">Even More IPUMS Data Available in the SDA Online Data Analysis Tool</a></h2> <div class="entry-meta"> <span class="posted-on"><a href="https://blog.popdata.org/ipums-sda-online-data-analysis-tool/" title="12:51 pm" rel="bookmark"><time class="updated" datetime="2025-01-03T16:14:44-06:00" itemprop="dateModified">January 3, 2025</time><time class="entry-date published" datetime="2024-12-19T12:51:57-06:00" itemprop="datePublished">December 19, 2024</time></a></span> <span class="byline">by <span class="author vcard" itemprop="author" itemtype="https://schema.org/Person" itemscope><a class="url fn n" href="https://blog.popdata.org/author/mpcblog/" title="View all posts by mpcblog" rel="author" itemprop="url"><span class="author-name" itemprop="name">mpcblog</span></a></span></span> </div> </header> <div class="entry-content" itemprop="text"> <p><em>By Daniel Backman</em></p> <p>Beyond offering the ability to create and download customized datasets from the IPUMS microdata collections, we also support web-based analysis of the data through the SDA (Survey Documentation and Analysis) online data analysis tool. SDA empowers users to analyze IPUMS data directly from their web browsers without the need for additional software or advanced programming skills. Whether you’re a seasoned researcher or a student exploring data for the first time, the SDA tool makes it easier than ever to unlock insights from our datasets. If you’re a current SDA user and ready to get started, check out the new datasets from <a href="https://cps.ipums.org/cps/sda.shtml" target="_blank" rel="noopener">IPUMS CPS</a> and <a href="https://meps.ipums.org/meps/sda.shtml" target="_blank" rel="noopener">IPUMS MEPS</a>. Otherwise, read on to learn more about SDA and how to use this tool to analyze IPUMS data.</p> <h1>About IPUMS & SDA</h1> <h2>What is SDA?</h2> <p>The SDA tool is a web-based interface that allows you to generate frequency tables, cross-tabulations, and summary statistics; create customized data visualizations, including bar charts, line graphs, and scatter plots; perform regression analysis; and export results as a CSV file for presentations or further analysis.</p> <p>SDA increases the accessibility of data by allowing users to analyze data through a web-interface without needing to use (or purchase!) statistical software. There is <a href="https://sda.atus.ipums.org/sdaweb/helpfiles/help.htm" target="_blank" rel="noopener">detailed guidance on how to use the tool for analyses</a> and how to <a href="https://sda.atus.ipums.org/sdaweb/helpfiles/helpnewv.htm" target="_blank" rel="noopener">manipulate variables</a>. Additionally, it provides exceptionally fast real-time processing of data, making it ideal for use in the classroom or other interactive settings. See our <a href="https://www.ipums.org/support/exercises" target="_blank" rel="noopener">data training exercises page</a> for exercises that will guide you through using SDA to analyze IPUMS data.</p> <p class="read-more-container"><a class="read-more content-read-more" href="https://blog.popdata.org/ipums-sda-online-data-analysis-tool/">Continue reading…</a></p> </div> <footer class="entry-meta"> <span class="cat-links"><span class="screen-reader-text">Categories </span><a href="https://blog.popdata.org/category/data/" rel="category tag">Data</a>, <a href="https://blog.popdata.org/category/data-projects/ipums-cps/" rel="category tag">IPUMS CPS</a>, <a href="https://blog.popdata.org/category/data-projects/ipums-meps/" rel="category tag">IPUMS MEPS</a></span> </footer> </div> </article> <article id="post-3382" class="post-3382 post type-post status-publish format-standard hentry category-data category-data-integration category-ipums-nhgis" itemtype="https://schema.org/CreativeWork" itemscope> <div class="inside-article"> <header class="entry-header"> <h2 class="entry-title" itemprop="headline"><a href="https://blog.popdata.org/updated-land-cover-summaries/" rel="bookmark">Updated Land Cover Summaries for Census Tracts, County Subdivisions, Counties, and Places</a></h2> <div class="entry-meta"> <span class="posted-on"><a href="https://blog.popdata.org/updated-land-cover-summaries/" title="9:14 am" rel="bookmark"><time class="entry-date published" datetime="2024-12-02T09:14:07-06:00" itemprop="datePublished">December 2, 2024</time></a></span> <span class="byline">by <span class="author vcard" itemprop="author" itemtype="https://schema.org/Person" itemscope><a class="url fn n" href="https://blog.popdata.org/author/mpcblog/" title="View all posts by mpcblog" rel="author" itemprop="url"><span class="author-name" itemprop="name">mpcblog</span></a></span></span> </div> </header> <div class="entry-content" itemprop="text"> <p><em>By David Van Riper, ISRDI Director of Spatial Analysis</em></p> <h1>What’s new?</h1> <p>We just <a href="https://www.nhgis.org/environmental-summaries" target="_blank" rel="noopener">released updated land cover summaries</a> for census tracts, county subdivisions, counties and places. Our land cover summaries describe the proportion of a particular geographic unit (<em>e.g.</em>, a county or a census tract) that is covered by a particular land cover class (<em>e.g.</em>, deciduous forest, evergreen forest, or cultivated crops). This release provides users with land cover summaries from nine vintages of the <a href="https://www.usgs.gov/centers/eros/science/national-land-cover-database" target="_blank" rel="noopener">National Land Cover Database</a> (NLCD) – 2001, 2004, 2006, 2008, 2011, 2013, 2016, 2019, and 2021. Summaries are available for 2010, 2020, and 2022 census tract, county subdivisions, counties, and places. We include 2022 versions of these geographic units because that was the year the Census Bureau began identifying planning regions in Connecticut. These regions replaced Connecticut’s historical counties, which have long had no official administrative function. These new planning regions changed the unique identifiers for census tracts, county subdivisions, and counties.</p> <h1>Why did IPUMS NHGIS create these land cover summaries?</h1> <p>Land cover data is commonly used to study the impacts of natural events such as hurricanes or human modifications such as converting forest to agriculture or agricultural land to developed land. Land cover data is typically released as a high spatial resolution, gridded spatial dataset where each grid cell (or pixel) is assigned to a land cover category (Figure 1, Panel A). The gridded data almost never align with the geographic units, and the high spatial resolution yields massive files that can be slow to process. A single NLCD file is 25 gigabytes in size.</p> <p>We summarized nine versions of the NLCD to multiple sets of geographic units so that users can easily integrate the data into analyses already structured around geographic units. This reduces the burden on individual users to create such summaries themselves.</p> <p class="read-more-container"><a class="read-more content-read-more" href="https://blog.popdata.org/updated-land-cover-summaries/">Continue reading…</a></p> </div> <footer class="entry-meta"> <span class="cat-links"><span class="screen-reader-text">Categories </span><a href="https://blog.popdata.org/category/data/" rel="category tag">Data</a>, <a href="https://blog.popdata.org/category/data-integration/" rel="category tag">Data Integration</a>, <a href="https://blog.popdata.org/category/data-projects/ipums-nhgis/" rel="category tag">IPUMS NHGIS</a></span> </footer> </div> </article> <article id="post-3380" class="post-3380 post type-post status-publish format-standard hentry category-admin-core" itemtype="https://schema.org/CreativeWork" itemscope> <div class="inside-article"> <header class="entry-header"> <h2 class="entry-title" itemprop="headline"><a href="https://blog.popdata.org/online-ipums-document-collection/" rel="bookmark">Online IPUMS Document Collection</a></h2> <div class="entry-meta"> <span class="posted-on"><a href="https://blog.popdata.org/online-ipums-document-collection/" title="2:55 pm" rel="bookmark"><time class="entry-date published" datetime="2024-11-18T14:55:21-06:00" itemprop="datePublished">November 18, 2024</time></a></span> <span class="byline">by <span class="author vcard" itemprop="author" itemtype="https://schema.org/Person" itemscope><a class="url fn n" href="https://blog.popdata.org/author/mpcblog/" title="View all posts by mpcblog" rel="author" itemprop="url"><span class="author-name" itemprop="name">mpcblog</span></a></span></span> </div> </header> <div class="entry-content" itemprop="text"> <p><em>By Diana L. Magnuson; Curator and Historian, ISRDI</em></p> <p>IPUMS now has an online <a href="https://documents.ipums.org/" target="_blank" rel="noopener">IPUMS Document Collection</a> for our ancillary census and survey materials collected by IPUMS International!</p> <figure id="attachment_3392" aria-describedby="caption-attachment-3392" style="width: 290px" class="wp-caption alignleft"><img decoding="async" class="size-medium wp-image-3392" src="https://blog.popdata.org/wp-content/uploads/2024/11/image_123650291-6-300x225.jpg" alt="Boxes on shelves holding the IPUMS International manuscript collection" width="300" height="225" srcset="https://blog.popdata.org/wp-content/uploads/2024/11/image_123650291-6-300x225.jpg 300w, https://blog.popdata.org/wp-content/uploads/2024/11/image_123650291-6-1024x768.jpg 1024w, https://blog.popdata.org/wp-content/uploads/2024/11/image_123650291-6-768x576.jpg 768w, https://blog.popdata.org/wp-content/uploads/2024/11/image_123650291-6-1536x1152.jpg 1536w, https://blog.popdata.org/wp-content/uploads/2024/11/image_123650291-6.jpg 2048w" sizes="(max-width: 300px) 100vw, 300px" /><figcaption id="caption-attachment-3392" class="wp-caption-text">The IPUMS International manuscript collection</figcaption></figure> <p>In 1999, with a social science infrastructure grant from the National Science Foundation (NSF), IPUMS International had a simple yet audaciously ambitious goal: preserve the world’s microdata resources and democratize access to those sources. Twenty-five years later, the project goals continue to be: collecting and preserving census and survey data and documentation; harmonizing those data; and disseminating the harmonized data free of charge.</p> <p>IPUMS-I amassed tens of thousands of ancillary materials in support of its data harmonization work. These materials came from partner organizations: United State Census Bureau (USCB), United Nations Statistical Division (UNSD), Latin American and Caribbean Demographic Center (CELADE), The East-West Center, Centre Population et Dévelopement (CEPED), and over one hundred national statistical agencies. Examples of this material include correspondence, maps, enumerator instructions, supervisor instructions, training materials, codebooks, publicity, reports, newspaper clippings, unpublished papers, census timetables, data processing materials, and technical manuals. The ancillary materials in the IPUMS collection attest to the varied technical, business, social, and economic aspects of conducting census and surveys across time and space.</p> <p>A portion of IPUMS-I grant money has funded the curation and preservation of the ancillary materials acquired by the project. For over two decades, archival staff have been preserving thousands of unique pieces of census and survey documentation, creating bibliographic records using an extended Dublin Core profile that supports the use of controlled vocabularies to enhance findability for the project staff and outside users. The goal of this work was the creation of a simple, findable, searchable, and downloadable document access system.</p> <p class="read-more-container"><a class="read-more content-read-more" href="https://blog.popdata.org/online-ipums-document-collection/">Continue reading…</a></p> </div> <footer class="entry-meta"> <span class="cat-links"><span class="screen-reader-text">Categories </span><a href="https://blog.popdata.org/category/admin-core/" rel="category tag">Administration</a></span> </footer> </div> </article> <nav id="nav-below" class="paging-navigation"> <span class="screen-reader-text">Post navigation</span> <div class="nav-previous"> <span class="prev" title="Previous"><a href="https://blog.popdata.org/page/2/" >Older posts</a></span> </div> <div class="nav-links"><span aria-current="page" class="page-numbers current">1</span> <a class="page-numbers" href="https://blog.popdata.org/page/2/">2</a> <span class="page-numbers dots">…</span> <a class="page-numbers" href="https://blog.popdata.org/page/26/">26</a> <a class="next page-numbers" href="https://blog.popdata.org/page/2/">Next →</a></div> </nav> </main> </div> <div id="left-sidebar" class="widget-area grid-25 tablet-grid-25 mobile-grid-100 grid-parent sidebar pull-75 tablet-pull-75" itemtype="https://schema.org/WPSideBar" itemscope> <div class="inside-left-sidebar"> <aside id="search-8" class="widget inner-padding widget_search"><form method="get" class="search-form" action="https://blog.popdata.org/"> <label> <span class="screen-reader-text">Search for:</span> <input type="search" class="search-field" placeholder="Search …" value="" name="s" title="Search for:"> </label> <input type="submit" class="search-submit" value="Search"> </form> </aside><aside id="mc4wp_form_widget-6" class="widget inner-padding widget_mc4wp_form_widget"><h2 class="widget-title">Newsletter</h2><script>(function() { window.mc4wp = window.mc4wp || { listeners: [], forms: { on: function(evt, cb) { window.mc4wp.listeners.push( { event : evt, callback: cb } ); } } } })(); </script><form id="mc4wp-form-1" class="mc4wp-form mc4wp-form-1165 mc4wp-form-basic" method="post" data-id="1165" data-name="Default sign-up form" ><div class="mc4wp-form-fields"><p> <label>Email address: </label> <input type="email" id="mc4wp_email" name="EMAIL" placeholder="Your email address" required /> </p> <p> <input type="submit" value="Subscribe" /> </p></div><label style="display: none !important;">Leave this field empty if you're human: <input type="text" name="_mc4wp_honeypot" value="" tabindex="-1" autocomplete="off" /></label><input type="hidden" name="_mc4wp_timestamp" value="1744272734" /><input type="hidden" name="_mc4wp_form_id" value="1165" /><input type="hidden" name="_mc4wp_form_element_id" value="mc4wp-form-1" /><div class="mc4wp-response"></div></form></aside> <aside id="recent-posts-2" class="widget inner-padding widget_recent_entries"> <h2 class="widget-title">What did I miss?</h2> <ul> <li> <a href="https://blog.popdata.org/ipums-cps-basic-monthly-data/">IPUMS CPS Checks on Basic Monthly Data</a> </li> <li> <a href="https://blog.popdata.org/introducing-the-r-spatial-notebook-series/">Unlocking Spatial and Social Data with R: Introducing the R Spatial Notebook Series</a> </li> <li> <a href="https://blog.popdata.org/international-spring-2025/">New Data! 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