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class="default-style-wrapper rc" data-garegion="body">  <link rel="preload" as="image" href="https://www.qualtrics.com/m/assets/wp-content/uploads/2022/02/sq-3.jpeg" /> <section class="top-banner-content"> <div class="container py-5"> <div class="row">  <div id="article-sidebar"> <div class="pb-4"> <h3 style="font-size:18px;margin-top:0;">Try Qualtrics for free</h3> <a class="btn btn-small btn-px" href="/free-account/?utm_lp=hub-sidebar">Free Account </a> </div>  <a class="social-link d-block mb-2 " href="#" target="_blank" onclick="xmHub.openLinkWindowed(this)" title="Share on Facebook"> <svg class="icon icon-black facebook icon-size-4 lazy w-auto"> <title>Facebook logo</title> <use href="https://www.qualtrics.com/m/assets/dist/svg/display/logo-facebook.svg#solid"></use> </svg> </a> <a class="social-link d-block mb-2 " href="#" target="_blank" onclick="xmHub.openLinkWindowed(this)" title="Share on X"> <svg class="icon icon-black twitter icon-size-4 lazy w-auto"> <title>Twitter logo</title> <use href="https://www.qualtrics.com/m/assets/dist/svg/customer/x.svg#solid"></use> </svg> </a> <a class="social-link d-block mb-2 " href="#" target="_blank" onclick="xmHub.openLinkWindowed(this)" title="Share on LinkedIn"> <svg class="icon icon-black linked-in icon-size-4 lazy w-auto"> <title>LinkedIn logo</title> <use href="https://www.qualtrics.com/m/assets/dist/svg/display/logo-linkedin.svg#solid"></use> </svg> </a> <a class="social-link d-block mb-2 " href="#" target="_blank" onclick="xmHub.openLinkWindowed(this)" title="Share via Email"> <svg class="icon icon-black icon-size-4 lazy w-auto"> <title>Email logo</title> <use href="https://www.qualtrics.com/m/assets/dist/svg/display/envelope-closed.svg#solid"></use> </svg> </a> </div> <div class="col-12 col-lg-10 offset-lg-2">  <div class="w-48 d-inline-block pr-4 align-top"> <div class="mb-5 border-leaf-lg" style="padding-bottom: 100%; background-image:url('https://www.qualtrics.com/m/assets/wp-content/uploads/2022/02/sq-3.jpeg'); background-position:center; background-size: cover;" data-srcFull="https://www.qualtrics.com/m/assets/wp-content/uploads/2022/02/sq-3.jpeg"> </div> </div> <div class="w-48 d-inline-block align-top"> <h1 class="headline" data-swiftype-name="title" data-swiftype-type="string"> The complete guide to systematic random sampling </h1> <p class="intro-summary " data-swiftype-name="body" data-swiftype-type="text" style="font-size:18px;"> <span style="font-size:15px;font-weight: 700;line-height: 1.6;"> 15 min read </span> <br /> In this article, we’ll highlight what systematic random sampling is and how you can use it to create random sampling surveys to get a clear understanding of a target population. </p> </div> </div> </div> </div> </section> <style> /* Cancel out bolder in _reboot.scss */ b, strong { font-weight: bold; } </style> <section id="article-content-section" class="generated-content research mb-5"> <div class="container py-3"> <div class="row"> <div class="col-12 col-lg-7 offset-lg-2"> <div class="content-block"> <p>If you want a highly effective (and accurate) method for selecting a random sample from a research population, systematic random sampling might be just what you’re looking for.</p> <p>In this article, we’ll break down what systematic random sampling is and how you can use it to get a clear understanding of a target population.</p> <p><strong><a href="/free-trial/?utm_lp=hub-systematic-random-sampling-inline">Start your free 30-day trial of XM for Strategy & Research today</a></strong></p> <h2>What is systematic random sampling?</h2> <p>Systematic random sampling is a probability sampling method. This means it uses chance and randomization to select sample data that represents a population.</p> <p>After <a href="https://www.qualtrics.com/experience-management/research/determine-sample-size/">determining the right sample size</a>, researchers assign a regular interval number they will use to select which members of the target population will be included in the sample.</p> <p>The sample interval (k) is decided by dividing the population size (N) by the sample size (n).</p> <p>If you had a list of 1,000 customers (your target population) and you wanted to survey 200 of them, your interval would be 5. This means that you would sample every <strong>5th</strong> person in your list of 1,000 customers.</p> <p>1,000 / 200 = 5</p> <p>To ensure a random sample, researchers use a random starting point within the range from 0-k. So if k = 5 you might randomly start with the 2nd name in the list and then sample every 5th person (e.g. 2, 7, 12, 17 and so on).<br /> <img fetchpriority="high" decoding="async" class="shadow mx-auto img-fluid alignnone size-full wp-image-107738" src="https://www.qualtrics.com/m/assets/wp-content/uploads/2022/02/srs1.png" alt="Systemic random sampling visual image" width="800" height="450" srcset="https://www.qualtrics.com/m/assets/wp-content/uploads/2022/02/srs1.png 800w, https://www.qualtrics.com/m/assets/wp-content/uploads/2022/02/srs1-768x432.png 768w, https://www.qualtrics.com/m/assets/wp-content/uploads/2022/02/srs1-150x84.png 150w" sizes="(max-width: 800px) 100vw, 800px" /></p> <h2>Types of systematic sampling</h2> <p>Although systematic sampling is a relatively simple concept, it can be performed in a few different ways.</p> <h3>Systematic random sampling</h3> <p>This is the ‘classic’ form of systematic sampling where items or individuals are selected at a predetermined interval.</p> <h3>Circular systematic sampling</h3> <p>With circular systematic sampling, the sampling process continues past the end of the population list, until the whole population has been sampled.</p> <h3>Linear systematic sampling</h3> <p>Linear systematic sampling doesn’t repeat, unlike circular systematic sampling. It produces a number using a form of <a href="https://www.qualtrics.com/support/survey-platform/survey-module/question-options/skip-logic/">skip logic</a> to select the sample members.</p> <h2>When to use systematic sampling</h2> <p>Systematic sampling can be used whenever you want the benefits of randomly sampling the population you’re studying. It can be especially useful in situations where you don’t have details of the entire population before you begin your study. This is because systematic sampling is rule-based, so you can just apply the interval you’ve chosen to the data.</p> <p><a href="https://www.qualtrics.com/experience-management/research/systematic-random-sampling/">Systematic random sampling</a> is valuable when you’re on a tight budget or a short timescale, but it may not be right for your project if there is any risk of data manipulation.</p> <h2>What is the risk of bias in systematic sampling?</h2> <p>Systematic sampling can remove some of the unpredictability from a sample, meaning that a researcher could potentially manipulate the results by choosing a starting point that favors their preferred outcome.</p> <p>However, <strong>this risk is very slight </strong>because the only random component of the sample is the selection of the starting point. After that, the process moves in a set pattern until the sample is complete. For example, in a population of 21 and starting at 1, using an interval of 3 would result in the numbers 3, 6, 9, 12, 15, 18, and 21 being used.</p> <p>It’s also important to ensure that your list is not ordered in any way that could introduce bias, e.g. if your list was ordered male, female, male, female, and you picked every <strong>other </strong>person, you would <a href="https://www.qualtrics.com/experience-management/research/survey-bias/">introduce a great degree of bias</a>.</p> <h2>Benefits of systematic sampling</h2> <p>There are several benefits to using a systematic sample for research.</p> <h3>It’s simple to use</h3> <p>Because of the way systematic sampling is structured, surveys based on it are easy to create and the data is easy to analyze.</p> <p>This type of sampling is particularly beneficial where the budget is limited as the sample selection process is straightforward.</p> <h3>It provides some control over the process</h3> <p>While systematic sampling retains an element of randomness, it also introduces some control and process into the selection process.</p> <h3>It’s low risk</h3> <p>Systematic sampling carries a low-risk factor because there’s a low chance that the data can be contaminated. This is because of the even distribution of members to form samples.</p> <h3>It’s resistant to bias</h3> <p>After the initial starting point, researchers have little control over who gets selected for systematic sampling. The selection process is truly random, creating a buffer against favoritism when it comes to data collection.</p> <h2>Limitations of systematic sampling</h2> <p>Although there are significant advantages to systematic sampling, it can carry some risks that you need to be aware of.</p> <h3><strong>An assumption that the population size is known</strong></h3> <p>Like all <a href="https://www.qualtrics.com/experience-management/research/probability-sampling/">probability sampling</a> techniques, systematic sampling requires that every sample member has a known, non-zero likelihood of being selected.</p> <p>If the true population sizes are not known and cannot be determined, you can’t use the formula k = N/n to determine the sample interval or likelihood of being selected.</p> <p>Another challenge is that it can be difficult to achieve the desired sample size if the true population size is not known in advance. If you need a sample of 200 people, you may not know whether to sample every 5th person or every 10th person.</p> <h4>Tip: you can still use systematic sampling if you don’t know the population size</h4> <p>There’s a way to use systematic sampling when the population size is not known in advance — if you are prepared to guess the interval. Imagine you want to conduct an exit poll after an important election. Although you do not know in advance how many people are going to show up at the election site, you can choose to sample every 5th person who leaves the voting location between when it opens and closes.</p> <p>The true population size will then be approximately 5 times the size of your sample.</p> <h3>You need randomness in the population</h3> <p>If the population you’re assessing has a standard pattern (e.g., the list is ordered male, female, male, female), it can remove the randomness of the sampling interval and inadvertently lead to an unrepresentative sample such as all males. This isn’t common, but it’s worth being aware of before you plan your research project.</p> <p>Let’s say you were surveying a high school class and wanted to select half of the students for an assessment. If the student list was in a boy, girl, boy, girl pattern and your sampling interval was an even number, you could end up with all boys or all girls in your sample.</p> <p>To avoid this, make sure your data is sorted in such a way that won’t introduce any kind of repeating pattern — for example, you could ask the children to line up in order of height. That removes any repeating pattern (e.g., boy, girl, boy, girl) that might interfere with the systematic sample. If you had an electronic list of students in the class, you could sort the list in a random way such as alphabetically by student’s first name.</p> <h3>Higher potential for data manipulation</h3> <p>While systematic sampling is reliable and offers a natural degree of unpredictability and randomness, it’s also open to manipulation by individual researchers, albeit in a limited way.</p> <p>The method the researcher chooses for their sample collection could potentially result in a higher chance of achieving a predetermined outcome, rather than using simple random selection.</p> <h2>How to perform systematic random sampling</h2> <p>Let’s run through the steps for systematic random sampling:</p> <ol> <li><strong> Confirm the population total</strong></li> </ol> <p>It’s easier to achieve the <a href="https://www.qualtrics.com/experience-management/research/determine-sample-size/">desired sample size</a> when you know the total population of the sample in advance. Once you have this number, the rest of the sampling process is simple.</p> <ol start="2"> <li><strong> Determine your sample size</strong></li> </ol> <p>When you know the size of the sample you want to draw from the population, you can establish the interval needed to achieve the desired sample size from the population.</p> <p>There are several factors to consider, including population size, the margin of error (confidence interval), and budget.</p> <p>For example, you may want a sample size that yields a margin of error of +/- 5 points, or maybe it’s determined by your budget, e.g. you’re giving out $10 gift cards but can only afford 200.</p> <ol start="3"> <li><strong> Determine your sampling interval</strong></li> </ol> <p>For this, you simply divide the total population by the sample size. If the total population size is not known in advance (for example, if you’re conducting an exit poll during an election), then estimate the population size based on historical data (e.g. the previous election) to determine your sampling interval.</p> <ol start="4"> <li><strong> Select your random starting point</strong></li> </ol> <p>Starting your selection at a random number helps to retain the randomness of your selection and removes the risk of cluster or manipulation. The random start number will be between 1 and the sample interval.</p> <p>E.g. to get a sample of 100 out of 1,000, you would select every 10th person.</p> <ol start="5"> <li><strong> Add your sampling interval until you have the desired sample.</strong></li> </ol> <p>Continue choosing your sample members at regular intervals until you have the sample size you need to complete your study.<br /> <img decoding="async" class="shadow mx-auto img-fluid alignnone size-full wp-image-107739" src="https://www.qualtrics.com/m/assets/wp-content/uploads/2022/02/srs2.png" alt="Systemic random sampling visual image" width="800" height="450" srcset="https://www.qualtrics.com/m/assets/wp-content/uploads/2022/02/srs2.png 800w, https://www.qualtrics.com/m/assets/wp-content/uploads/2022/02/srs2-768x432.png 768w, https://www.qualtrics.com/m/assets/wp-content/uploads/2022/02/srs2-150x84.png 150w" sizes="(max-width: 800px) 100vw, 800px" /></p> <h2>Systematic random sampling use cases and examples</h2> <ul> <li>Systematic random samples can be used in social research — for example, to survey a large number of households by running a list of addresses through the interval selection process.</li> <li>It could be used for collecting customer experience feedback, for example by choosing at intervals from a list of people who attended a large conference.</li> <li>On a ‘passing traffic’ basis, systematic sampling could be used to survey visitors to a store or shopping mall, drivers using a toll booth, people waiting in line, or calls in a contact center.</li> </ul> <h3>How to use systematic sampling</h3> <p>Let’s say a sample size of 20 out of a population of 100 is required. For this study, each member of the population is assigned a number from 001 to 100.</p> <p>We first calculate the interval by dividing the total number of people in the population (100) by the number we want in the sample (20). This gives us a sample interval of 5.</p> <p>We then select a number between 1 and the sampling interval from a random number generator. Let’s say we get 4 — this is where we start. We count down the list (using linear systematic sampling or circular systematic sampling) from our starting point (person 4) and select each 5th person.</p> <p>For example, if we start at 4, the next would be 9, 14, 19, 24, 29, and so on. When you reach the end of the list, you should have your desired number (20) for the sample size.</p> <h2>What are the alternatives to systematic sampling?</h2> <h3>Simple random sampling</h3> <p>A <a href="https://www.qualtrics.com/experience-management/research/simple-random-sampling/">simple random sample</a> is one where every member of the population of interest has an equal probability of being selected, and the selection is done in a completely arbitrary way. You can select randomly from a population using a tool such as a number table or a computer, or by using a draw or lottery system.</p> <h3>Stratified random sampling</h3> <p><a href="https://www.qualtrics.com/experience-management/research/stratified-random-sampling/">Stratified random sampling</a> involves dividing your population into groups (called strata) that are linked by a particular characteristic, such as income bracket or nationality. A random sample is taken from each group, and then these are pooled together to create a random sample of the entire population. The purpose is to make sure each group is represented in your sample.</p> <h3>Cluster sampling</h3> <p>With cluster sampling, groups rather than individual units of the target population are selected at random for the test. These might be pre-existing groups, such as people in certain zip codes or students belonging to an academic year. Cluster sampling can be done by selecting the entire cluster, or in the case of two-stage cluster sampling, by randomly selecting the cluster itself, then selecting at random again within the cluster.</p> <p><img decoding="async" class="shadow mx-auto img-fluid alignnone wp-image-113801 size-full" src="https://www.qualtrics.com/m/assets/wp-content/uploads/2022/02/1381633_SystemicRandomSamplingRefresh_01-560x315_060722.png" alt="Comparison of single random sample, systematic sample, stratified sample and cluster sample" width="560" height="315" srcset="https://www.qualtrics.com/m/assets/wp-content/uploads/2022/02/1381633_SystemicRandomSamplingRefresh_01-560x315_060722.png 560w, https://www.qualtrics.com/m/assets/wp-content/uploads/2022/02/1381633_SystemicRandomSamplingRefresh_01-560x315_060722-150x84.png 150w" sizes="(max-width: 560px) 100vw, 560px" /></p> <h2>Should you use systematic sampling or simple random sampling?</h2> <p>What’s the difference between a systematic sample and a simple random sample?</p> <p>In each sampling method, every person has an equal chance of being chosen. It’s also true that both methods <a href="https://www.qualtrics.com/blog/avoiding-the-yes-bias/">could create some bias</a> — e.g. a larger percentage of females in the sample than in the population.</p> <p>The primary reasons to use a systematic sample in place of a random one are</p> <p>(1) when the population size is unknown in advance (e.g. an exit poll during an election)</p> <p>(2) if you don’t have an electronic list or you need to sample on the go. For example, you can use systematic sampling to select 1 out of every 5 people that enter a waiting room at a hospital, whereas with a random sample you would need the complete list of patients for the day, which could present problems if things change or last-minute emergencies turn up.</p> <h2>Want to learn more about sampling?</h2> <p>Choosing the right method for sampling your target audience can make all the difference when it comes to the reliability of your data and analysis.</p> <p>In our guide to <a href="https://www.qualtrics.com/experience-management/research/sampling-methods/">sampling methods</a> and best practices, we explore other <a href="https://www.qualtrics.com/experience-management/research/probability-sampling/">probability</a> and <a href="https://www.qualtrics.com/experience-management/research/non-probability-sampling/">non-probability sampling methods</a>, including <a href="https://www.qualtrics.com/experience-management/research/stratified-random-sampling/">stratified sampling</a> and cluster sampling, <a href="https://www.qualtrics.com/experience-management/research/convenience-sampling/">convenience sampling</a>, quota sampling, and more — to give you the information you need to conduct comprehensive research.</p> <p>If you want to learn more about sampling methods, you can read our <a href="https://www.qualtrics.com/experience-management/research/sampling-methods/">ultimate guide to sampling methods and best practices</a>.</p> <h2>How Qualtrics can help</h2> <p>We specialize in providing solutions that empower everyone to gather research insights and take action. With <a href="/core-xm/">Qualtrics CoreXM</a>, you can make sophisticated research simple.</p> <p>Whether you’re in marketing, product development, or HR — with CoreXM, you can rapidly turn insights from surveys into actionable strategies.</p> <p>Featuring advanced and incredibly flexible survey tools, built-in intelligence (driven by iQ™), a fully automated platform, and <a href="https://www.qualtrics.com/research-services/">research services</a>, CoreXM enables you to run the surveys you need to get answers to your most important marketing, branding, customer, and product questions.</p> <p><script type="application/ld+json"> { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": { "@type": "Question", "name": "What is systematic random sampling?", "acceptedAnswer": { "@type": "Answer", "text": "Systematic random sampling is also known as a probability sampling method in which researchers assign a desired sample size of the population, and assign a regular interval number to decide who in the target population will be sampled." } } } </script></p> </div> </div> </div> </div> <div class="my-3 py-4 bg-gray-light" data-gacontainer="gasection" data-gatext="cta-panel"> <div class="container"> <div class="row align-items-stretch"> <div class="col-lg-5 col-md-7 offset-lg-2 d-flex flex-column justify-content-end mb-3 mb-md-0"> <p class="headline-card mb-0">Start your free 30-day trial of XM for Strategy & Research today</p> </div> <div class="col-lg-3 col-md-5 d-flex align-items-end"> <a class="btn btn-small btn-primary" href="/free-trial/?utm_lp=hub-systematic-random-sampling-banner">Free Trial</a> </div> </div> </div> </div> </section> <section id="article-footer-section" class="bg-white" data-gacontainer="gasection" data-gatext="article-navigation">  <div class="container"> <div class="row py-5"> <div class="col-12"> <h5 class="headline-light mb-0">Related resources</h5> </div> </div> <div class="row related-default"> <div class="col-12 col-md-6 mb-5 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data-us-name="British Indian Ocean Territory" value="British Indian Ocean Territory">British Indian Ocean Territory</option><option data-code="BN" data-us-name="Brunei Darussalam" value="Brunei Darussalam">Brunei Darussalam</option><option data-code="BG" data-us-name="Bulgaria" value="Bulgaria">Bulgaria</option><option data-code="BF" data-us-name="Burkina Faso" value="Burkina Faso">Burkina Faso</option><option data-code="BI" data-us-name="Burundi" value="Burundi">Burundi</option><option data-code="KH" data-us-name="Cambodia" value="Cambodia">Cambodia</option><option data-code="CM" data-us-name="Cameroon" value="Cameroon">Cameroon</option><option data-code="CA" data-us-name="Canada" value="Canada">Canada</option><option data-code="CV" data-us-name="Cape Verde" value="Cape Verde">Cape Verde</option><option data-code="KY" data-us-name="Cayman Islands" value="Cayman Islands">Cayman Islands</option><option data-code="CF" data-us-name="Central African Republic" value="Central African 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data-us-name="Croatia" value="Croatia">Croatia</option><option data-code="CW" data-us-name="Curaçao" value="Curaçao">Curaçao</option><option data-code="CY" data-us-name="Cyprus" value="Cyprus">Cyprus</option><option data-code="CZ" data-us-name="Czech Republic" value="Czech Republic">Czech Republic</option><option data-code="CI" data-us-name="Côte d'Ivoire" value="Côte d'Ivoire">Côte d'Ivoire</option><option data-code="DK" data-us-name="Denmark" value="Denmark">Denmark</option><option data-code="DJ" data-us-name="Djibouti" value="Djibouti">Djibouti</option><option data-code="DM" data-us-name="Dominica" value="Dominica">Dominica</option><option data-code="DO" data-us-name="Dominican Republic" value="Dominican Republic">Dominican Republic</option><option data-code="EC" data-us-name="Ecuador" value="Ecuador">Ecuador</option><option data-code="EG" data-us-name="Egypt" value="Egypt">Egypt</option><option data-code="SV" data-us-name="El Salvador" value="El Salvador">El Salvador</option><option data-code="GQ" data-us-name="Equatorial Guinea" value="Equatorial Guinea">Equatorial Guinea</option><option data-code="ER" data-us-name="Eritrea" value="Eritrea">Eritrea</option><option data-code="EE" data-us-name="Estonia" value="Estonia">Estonia</option><option data-code="SZ" data-us-name="Eswatini" value="Eswatini">Eswatini</option><option data-code="ET" data-us-name="Ethiopia" value="Ethiopia">Ethiopia</option><option data-code="FK" data-us-name="Falkland Islands (Malvinas)" value="Falkland Islands (Malvinas)">Falkland Islands (Malvinas)</option><option data-code="FO" data-us-name="Faroe Islands" value="Faroe Islands">Faroe Islands</option><option data-code="FJ" data-us-name="Fiji" value="Fiji">Fiji</option><option data-code="FI" data-us-name="Finland" value="Finland">Finland</option><option data-code="FR" data-us-name="France" value="France">France</option><option data-code="GF" data-us-name="French Guiana" value="French Guiana">French Guiana</option><option data-code="PF" data-us-name="French Polynesia" value="French Polynesia">French Polynesia</option><option data-code="TF" data-us-name="French Southern Territories" value="French Southern Territories">French Southern Territories</option><option data-code="GA" data-us-name="Gabon" value="Gabon">Gabon</option><option data-code="GM" data-us-name="Gambia" value="Gambia">Gambia</option><option data-code="GE" data-us-name="Georgia" value="Georgia">Georgia</option><option data-code="DE" data-us-name="Germany" value="Germany">Germany</option><option data-code="GH" data-us-name="Ghana" value="Ghana">Ghana</option><option data-code="GI" data-us-name="Gibraltar" value="Gibraltar">Gibraltar</option><option data-code="GR" data-us-name="Greece" value="Greece">Greece</option><option data-code="GL" data-us-name="Greenland" value="Greenland">Greenland</option><option data-code="GD" data-us-name="Grenada" value="Grenada">Grenada</option><option data-code="GP" data-us-name="Guadeloupe" value="Guadeloupe">Guadeloupe</option><option data-code="GU" data-us-name="Guam" value="Guam">Guam</option><option data-code="GT" data-us-name="Guatemala" value="Guatemala">Guatemala</option><option data-code="GG" data-us-name="Guernsey" value="Guernsey">Guernsey</option><option data-code="GN" data-us-name="Guinea" value="Guinea">Guinea</option><option data-code="GW" data-us-name="Guinea-Bissau" value="Guinea-Bissau">Guinea-Bissau</option><option data-code="GY" data-us-name="Guyana" value="Guyana">Guyana</option><option data-code="HT" data-us-name="Haiti" value="Haiti">Haiti</option><option data-code="HM" data-us-name="Heard Island and McDonald Islands" value="Heard Island and McDonald Islands">Heard Island and McDonald Islands</option><option data-code="VA" data-us-name="Holy See (Vatican City State)" value="Holy See (Vatican City State)">Holy See (Vatican City State)</option><option data-code="HN" data-us-name="Honduras" value="Honduras">Honduras</option><option data-code="HK" data-us-name="Hong Kong, China" value="Hong Kong, China">Hong Kong, China</option><option data-code="HU" data-us-name="Hungary" value="Hungary">Hungary</option><option data-code="IS" data-us-name="Iceland" value="Iceland">Iceland</option><option data-code="IN" data-us-name="India" value="India">India</option><option data-code="ID" data-us-name="Indonesia" value="Indonesia">Indonesia</option><option data-code="IQ" data-us-name="Iraq" value="Iraq">Iraq</option><option data-code="IE" data-us-name="Ireland" value="Ireland">Ireland</option><option data-code="IM" data-us-name="Isle of Man" value="Isle of Man">Isle of Man</option><option data-code="IL" data-us-name="Israel" value="Israel">Israel</option><option data-code="IT" data-us-name="Italy" value="Italy">Italy</option><option data-code="JM" data-us-name="Jamaica" value="Jamaica">Jamaica</option><option data-code="JA" data-us-name="Japan" value="Japan">Japan</option><option data-code="JE" data-us-name="Jersey" value="Jersey">Jersey</option><option data-code="JO" data-us-name="Jordan" value="Jordan">Jordan</option><option data-code="KZ" data-us-name="Kazakhstan" value="Kazakhstan">Kazakhstan</option><option data-code="KE" data-us-name="Kenya" value="Kenya">Kenya</option><option data-code="KI" data-us-name="Kiribati" value="Kiribati">Kiribati</option><option data-code="KW" data-us-name="Kuwait" value="Kuwait">Kuwait</option><option data-code="KG" data-us-name="Kyrgyzstan" value="Kyrgyzstan">Kyrgyzstan</option><option data-code="LA" data-us-name="Lao People's Democratic Republic" value="Lao People's Democratic Republic">Lao People's Democratic Republic</option><option data-code="LV" data-us-name="Latvia" value="Latvia">Latvia</option><option data-code="LB" data-us-name="Lebanon" value="Lebanon">Lebanon</option><option data-code="LS" data-us-name="Lesotho" value="Lesotho">Lesotho</option><option data-code="LR" data-us-name="Liberia" value="Liberia">Liberia</option><option data-code="LY" data-us-name="Libya" value="Libya">Libya</option><option data-code="LI" data-us-name="Liechtenstein" value="Liechtenstein">Liechtenstein</option><option data-code="LT" data-us-name="Lithuania" value="Lithuania">Lithuania</option><option data-code="LU" data-us-name="Luxembourg" value="Luxembourg">Luxembourg</option><option data-code="MO" data-us-name="Macao, China" value="Macao, China">Macao, China</option><option data-code="MK" data-us-name="Macedonia, North" value="Macedonia, North">Macedonia, North</option><option data-code="MG" data-us-name="Madagascar" value="Madagascar">Madagascar</option><option data-code="MW" data-us-name="Malawi" value="Malawi">Malawi</option><option data-code="MY" data-us-name="Malaysia" value="Malaysia">Malaysia</option><option data-code="MV" data-us-name="Maldives" value="Maldives">Maldives</option><option data-code="ML" data-us-name="Mali" value="Mali">Mali</option><option data-code="MT" data-us-name="Malta" value="Malta">Malta</option><option data-code="MH" data-us-name="Marshall Islands" value="Marshall Islands">Marshall Islands</option><option data-code="MQ" data-us-name="Martinique" value="Martinique">Martinique</option><option data-code="MR" data-us-name="Mauritania" value="Mauritania">Mauritania</option><option data-code="MU" data-us-name="Mauritius" value="Mauritius">Mauritius</option><option data-code="YT" data-us-name="Mayotte" value="Mayotte">Mayotte</option><option data-code="MX" data-us-name="Mexico" value="Mexico">Mexico</option><option data-code="FM" data-us-name="Micronesia" value="Micronesia">Micronesia</option><option data-code="MD" data-us-name="Moldova" value="Moldova">Moldova</option><option data-code="MC" data-us-name="Monaco" value="Monaco">Monaco</option><option data-code="MN" data-us-name="Mongolia" value="Mongolia">Mongolia</option><option data-code="ME" data-us-name="Montenegro" value="Montenegro">Montenegro</option><option data-code="MS" data-us-name="Montserrat" value="Montserrat">Montserrat</option><option data-code="MA" data-us-name="Morocco" value="Morocco">Morocco</option><option data-code="MZ" data-us-name="Mozambique" value="Mozambique">Mozambique</option><option data-code="MM" data-us-name="Myanmar" value="Myanmar">Myanmar</option><option data-code="NA" data-us-name="Namibia" value="Namibia">Namibia</option><option data-code="NR" data-us-name="Nauru" value="Nauru">Nauru</option><option data-code="NP" data-us-name="Nepal" value="Nepal">Nepal</option><option data-code="NL" data-us-name="Netherlands" value="Netherlands">Netherlands</option><option data-code="NC" data-us-name="New Caledonia" value="New Caledonia">New Caledonia</option><option data-code="NZ" data-us-name="New Zealand" value="New Zealand">New Zealand</option><option data-code="NI" data-us-name="Nicaragua" value="Nicaragua">Nicaragua</option><option data-code="NE" data-us-name="Niger" value="Niger">Niger</option><option data-code="NG" data-us-name="Nigeria" value="Nigeria">Nigeria</option><option data-code="NU" data-us-name="Niue" value="Niue">Niue</option><option data-code="NF" data-us-name="Norfolk Island" value="Norfolk Island">Norfolk Island</option><option data-code="MP" data-us-name="Northern Mariana Islands" value="Northern Mariana Islands">Northern Mariana Islands</option><option data-code="NO" data-us-name="Norway" value="Norway">Norway</option><option data-code="OM" data-us-name="Oman" value="Oman">Oman</option><option data-code="PK" data-us-name="Pakistan" value="Pakistan">Pakistan</option><option data-code="PW" data-us-name="Palau" value="Palau">Palau</option><option data-code="PS" data-us-name="Palestine" value="Palestine">Palestine</option><option data-code="PA" data-us-name="Panama" value="Panama">Panama</option><option data-code="PG" data-us-name="Papua New Guinea" value="Papua New Guinea">Papua New Guinea</option><option data-code="PY" data-us-name="Paraguay" value="Paraguay">Paraguay</option><option data-code="PE" data-us-name="Peru" value="Peru">Peru</option><option data-code="PH" data-us-name="Philippines" value="Philippines">Philippines</option><option data-code="PN" data-us-name="Pitcairn" value="Pitcairn">Pitcairn</option><option data-code="PL" data-us-name="Poland" value="Poland">Poland</option><option data-code="PT" data-us-name="Portugal" value="Portugal">Portugal</option><option data-code="PR" data-us-name="Puerto Rico" value="Puerto Rico">Puerto Rico</option><option data-code="QA" data-us-name="Qatar" value="Qatar">Qatar</option><option data-code="RO" data-us-name="Romania" value="Romania">Romania</option><option data-code="RU" data-us-name="Russia, excluding Crimea" value="Russia, excluding Crimea">Russia, excluding Crimea</option><option data-code="RW" data-us-name="Rwanda" value="Rwanda">Rwanda</option><option data-code="RE" data-us-name="Réunion" value="Réunion">Réunion</option><option data-code="BL" data-us-name="Saint Barthélemy" value="Saint Barthélemy">Saint Barthélemy</option><option data-code="SH" data-us-name="Saint Helena, Ascension and Tristan da Cunha" value="Saint Helena, Ascension and Tristan da Cunha">Saint Helena, Ascension and Tristan da Cunha</option><option data-code="KN" data-us-name="Saint Kitts and Nevis" value="Saint Kitts and Nevis">Saint Kitts and Nevis</option><option data-code="LC" data-us-name="Saint Lucia" value="Saint Lucia">Saint Lucia</option><option data-code="MF" data-us-name="Saint Martin (French part)" value="Saint Martin (French part)">Saint Martin (French part)</option><option data-code="PM" data-us-name="Saint Pierre and Miquelon" value="Saint Pierre and Miquelon">Saint Pierre and Miquelon</option><option data-code="VC" data-us-name="Saint Vincent and the Grenadines" value="Saint Vincent and the Grenadines">Saint Vincent and the Grenadines</option><option data-code="WS" data-us-name="Samoa" value="Samoa">Samoa</option><option data-code="SM" data-us-name="San Marino" value="San Marino">San Marino</option><option data-code="ST" data-us-name="Sao Tome and Principe" value="Sao Tome and Principe">Sao Tome and Principe</option><option data-code="SA" data-us-name="Saudi Arabia" value="Saudi Arabia">Saudi Arabia</option><option data-code="SN" data-us-name="Senegal" value="Senegal">Senegal</option><option data-code="RS" data-us-name="Serbia" value="Serbia">Serbia</option><option data-code="SC" data-us-name="Seychelles" value="Seychelles">Seychelles</option><option data-code="SL" data-us-name="Sierra Leone" value="Sierra Leone">Sierra Leone</option><option data-code="SG" data-us-name="Singapore" value="Singapore">Singapore</option><option data-code="SX" data-us-name="Sint Maarten (Dutch part)" value="Sint Maarten (Dutch part)">Sint Maarten (Dutch part)</option><option data-code="SK" data-us-name="Slovakia" value="Slovakia">Slovakia</option><option data-code="SI" data-us-name="Slovenia" value="Slovenia">Slovenia</option><option data-code="SB" data-us-name="Solomon Islands" value="Solomon Islands">Solomon Islands</option><option data-code="SO" data-us-name="Somalia" value="Somalia">Somalia</option><option data-code="ZA" data-us-name="South Africa" value="South Africa">South Africa</option><option data-code="GS" data-us-name="South Georgia and the South Sandwich Islands" value="South Georgia and the South Sandwich Islands">South Georgia and the South Sandwich Islands</option><option data-code="KR" data-us-name="South Korea" value="South Korea">South Korea</option><option data-code="SS" data-us-name="South Sudan" value="South Sudan">South Sudan</option><option data-code="ES" data-us-name="Spain" value="Spain">Spain</option><option data-code="LK" data-us-name="Sri Lanka" value="Sri Lanka">Sri Lanka</option><option data-code="SD" data-us-name="Sudan" value="Sudan">Sudan</option><option data-code="SR" data-us-name="Suriname" value="Suriname">Suriname</option><option data-code="SJ" data-us-name="Svalbard and Jan Mayen" value="Svalbard and Jan Mayen">Svalbard and Jan Mayen</option><option data-code="SE" data-us-name="Sweden" value="Sweden">Sweden</option><option data-code="CH" data-us-name="Switzerland" value="Switzerland">Switzerland</option><option data-code="TW" data-us-name="Taiwan, China" value="Taiwan, China">Taiwan, China</option><option data-code="TJ" data-us-name="Tajikistan" value="Tajikistan">Tajikistan</option><option data-code="TZ" data-us-name="Tanzania" value="Tanzania">Tanzania</option><option data-code="TH" data-us-name="Thailand" value="Thailand">Thailand</option><option data-code="TL" data-us-name="Timor-Leste" value="Timor-Leste">Timor-Leste</option><option data-code="TG" data-us-name="Togo" value="Togo">Togo</option><option data-code="TK" data-us-name="Tokelau" value="Tokelau">Tokelau</option><option data-code="TO" data-us-name="Tonga" value="Tonga">Tonga</option><option data-code="TT" data-us-name="Trinidad and Tobago" value="Trinidad and Tobago">Trinidad and Tobago</option><option data-code="TN" data-us-name="Tunisia" value="Tunisia">Tunisia</option><option data-code="TR" data-us-name="Turkey" value="Turkey">Turkey</option><option data-code="TM" data-us-name="Turkmenistan" value="Turkmenistan">Turkmenistan</option><option data-code="TC" data-us-name="Turks and Caicos Islands" value="Turks and Caicos Islands">Turks and Caicos Islands</option><option data-code="TV" data-us-name="Tuvalu" value="Tuvalu">Tuvalu</option><option data-code="UG" data-us-name="Uganda" value="Uganda">Uganda</option><option data-code="UA" data-us-name="Ukraine, excluding Crimea" value="Ukraine, excluding Crimea">Ukraine, excluding Crimea</option><option data-code="AE" data-us-name="United Arab Emirates" value="United Arab Emirates">United Arab Emirates</option><option data-code="GB" data-us-name="United Kingdom" value="United Kingdom">United Kingdom</option><option data-code="US" data-us-name="United States" value="United States">United States</option><option data-code="UM" data-us-name="United States Minor Outlying Islands" value="United States Minor Outlying Islands">United States Minor Outlying Islands</option><option data-code="UY" data-us-name="Uruguay" value="Uruguay">Uruguay</option><option data-code="UZ" data-us-name="Uzbekistan" value="Uzbekistan">Uzbekistan</option><option data-code="VU" data-us-name="Vanuatu" value="Vanuatu">Vanuatu</option><option data-code="VE" data-us-name="Venezuela" value="Venezuela">Venezuela</option><option data-code="VN" data-us-name="Viet Nam" value="Viet Nam">Viet Nam</option><option data-code="VG" data-us-name="Virgin Islands, British" value="Virgin Islands, British">Virgin Islands, British</option><option data-code="VI" data-us-name="Virgin Islands, U.S." value="Virgin Islands, U.S.">Virgin Islands, U.S.</option><option data-code="WF" data-us-name="Wallis and Futuna" value="Wallis and Futuna">Wallis and Futuna</option><option data-code="EH" data-us-name="Western Sahara" value="Western Sahara">Western 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