{"id":65467,"date":"2026-09-29T12:26:50","date_gmt":"2026-09-29T09:26:50","guid":{"rendered":"https:\/\/wpcalc.com\/en\/?p=65467"},"modified":"2026-09-29T15:19:21","modified_gmt":"2026-09-29T12:19:21","slug":"sample-size-calculator","status":"publish","type":"post","link":"https:\/\/wpcalc.com\/en\/statistics\/sample-size-calculator\/","title":{"rendered":"Sample Size Calculator"},"content":{"rendered":"<section class=\"not-prose calculator-box\" aria-labelledby=\"calculator-title\"><div class=\"flex items-baseline sm:items-center justify-between gap-2 sm:gap-3\"><div class=\"flex flex-col sm:flex-row sm:items-center gap-2\"><span class=\"icon icon-calculator text-primary-700! text-base! dark:text-primary-300!\" aria-hidden=\"true\"><\/span><h2 id=\"calculator-title\" class=\"text-lg font-display font-bold\">Determine Your Sample Size<\/h2><\/div><div class=\"calcdash-favorite group\">\n  <button type=\"button\" class=\"favorite\" id=\"favorite\" data-favorite-id=\"65467\" data-favorite-title=\"Sample Size\" data-favorite-url=\"https:\/\/wpcalc.com\/en\/statistics\/sample-size-calculator\/\" data-favorite-excerpt=\"Calculate how many respondents or observations your survey or study needs. Enter the confidence level, margin of error, expected proportion (or standard deviation) and population size to get the required sample size.\" aria-label=\"Add to Favorites\" data-favorite-icon=\"icon icon-wpcalc-sample-size\">\n    <span class=\"icon icon-shape-star-empty\" aria-hidden=\"true\"><\/span>\n  <\/button>\n  <div class=\"calcdash-favorite__tip\" aria-hidden=\"true\">\n   <span class=\"favorite-tooltip\" id=\"favorite-tooltip\"><\/span>\n  <\/div>\n  <span class=\"sr-only\" role=\"status\" id=\"favorite-status\"><\/span>\n<\/div><\/div><form action=\"https:\/\/wpcalc.com\/en\/statistics\/sample-size-calculator\/\" method=\"POST\" class=\"calculator\" id=\"calculator-65467\" data-post=\"65467\"><fieldset class=\"fieldset-input is-1\"><legend class=\"sr-only\">Input Fields<\/legend><div class=\"field\" id=\"input-1\"><label for=\"field-1\">What you estimate<\/label><div class=\"grid grid-cols-1\"><select id=\"field-1\" name=\"what_you_estimate\"><option value=\"proportion\" selected>A proportion or percentage (survey)<\/option><option value=\"mean\">A mean (average value)<\/option><\/select><svg class=\"pointer-events-none col-start-1 row-start-1 mr-2 size-5 self-center justify-self-end text-gray-500 sm:size-4\" viewBox=\"0 0 16 16\" fill=\"currentColor\" aria-hidden=\"true\" data-slot=\"icon\">\n              <path fill-rule=\"evenodd\" d=\"M4.22 6.22a.75.75 0 0 1 1.06 0L8 8.94l2.72-2.72a.75.75 0 1 1 1.06 1.06l-3.25 3.25a.75.75 0 0 1-1.06 0L4.22 7.28a.75.75 0 0 1 0-1.06Z\" clip-rule=\"evenodd\" \/>\n            <\/svg><\/div><\/div><div class=\"field\" id=\"input-2\"><label for=\"field-2\">Confidence level<\/label><div class=\"grid grid-cols-1\"><select id=\"field-2\" name=\"confidence_level\"><option value=\"90\">90%<\/option><option value=\"95\" selected>95%<\/option><option value=\"98\">98%<\/option><option value=\"99\">99%<\/option><option value=\"99.9\">99.9%<\/option><\/select><svg class=\"pointer-events-none col-start-1 row-start-1 mr-2 size-5 self-center justify-self-end text-gray-500 sm:size-4\" viewBox=\"0 0 16 16\" fill=\"currentColor\" aria-hidden=\"true\" data-slot=\"icon\">\n              <path fill-rule=\"evenodd\" d=\"M4.22 6.22a.75.75 0 0 1 1.06 0L8 8.94l2.72-2.72a.75.75 0 1 1 1.06 1.06l-3.25 3.25a.75.75 0 0 1-1.06 0L4.22 7.28a.75.75 0 0 1 0-1.06Z\" clip-rule=\"evenodd\" \/>\n            <\/svg><\/div><\/div><div class=\"field has-term\" id=\"input-3\"><label for=\"field-3\">Margin of error (E)<\/label><div class=\"term\">E<\/div>  <div class=\"absolute bottom-0 left-16 top-8 w-2 h-0.5 bg-blue-500\"><\/div><input type=\"text\" name=\"margin_of_error_e\" id=\"field-3\" aria-describedby=\"calc-info-3\" data-number inputmode=\"decimal\" autocomplete=\"off\" spellcheck=\"false\" placeholder=\"e.g. 5\" min=\"0\" value=\"5\"\/><small id=\"calc-info-3\">Proportion: percentage points (5 = \u00b15%). Mean: in the same units as the standard deviation.<\/small><\/div><div class=\"field has-term\" id=\"input-4\"><label for=\"field-4\">Expected proportion (p)<\/label><div class=\"term\">p<\/div>  <div class=\"absolute bottom-0 left-16 top-8 w-2 h-0.5 bg-blue-500\"><\/div><input type=\"text\" name=\"expected_proportion_p\" id=\"field-4\" aria-describedby=\"calc-unit-4 calc-info-4\" data-number inputmode=\"decimal\" autocomplete=\"off\" spellcheck=\"false\" placeholder=\"e.g. 50\" min=\"0\" max=\"100\" value=\"50\"\/><div class=\"unit\" id=\"calc-unit-4\">%<\/div><small id=\"calc-info-4\">Your best guess of the result. Use 50% when unknown \u2014 it is the most conservative (largest sample) choice.<\/small><\/div><div class=\"field has-term\" id=\"input-5\" hidden><label for=\"field-5\">Population standard deviation (\u03c3)<\/label><div class=\"term\">\u03c3<\/div>  <div class=\"absolute bottom-0 left-16 top-8 w-2 h-0.5 bg-blue-500\"><\/div><input type=\"text\" name=\"population_standard_deviation_\" id=\"field-5\" aria-describedby=\"calc-info-5\" data-number inputmode=\"decimal\" autocomplete=\"off\" spellcheck=\"false\" placeholder=\"e.g. 15\" min=\"0\" value=\"15\"\/><small id=\"calc-info-5\">Your estimate of the spread of the variable. Use a pilot study or previous data.<\/small><\/div><div class=\"field is-checkbox\" id=\"input-6\"><input type=\"checkbox\" id=\"field-6\" value=\"1\"\/><label for=\"field-6\">Finite population (known size)<\/label><\/div><div class=\"field has-term\" id=\"input-7\" hidden><label for=\"field-7\">Population size (N)<\/label><div class=\"term\">N<\/div>  <div class=\"absolute bottom-0 left-16 top-8 w-2 h-0.5 bg-blue-500\"><\/div><input type=\"text\" name=\"population_size_n\" id=\"field-7\" aria-describedby=\"calc-info-7\" data-number inputmode=\"decimal\" autocomplete=\"off\" spellcheck=\"false\" placeholder=\"e.g. 10000\" min=\"2\" value=\"10000\"\/><small id=\"calc-info-7\">Total number of people or items in the population.<\/small><\/div><\/fieldset><div class=\"buttons\"><button type=\"submit\" data-text=\"Re-Calculate\" id=\"calculate-button\" data-post=\"65467\">Calculate<\/button><button type=\"reset\">Reset<\/button><\/div><div class=\"field is-checkbox hidden!\" id=\"field-auto-calc\"><input type=\"checkbox\" id=\"auto-calc\"><label for=\"auto-calc\">Calculate automatically<\/label><small>If enabled, the result will update automatically when you change any value.<\/small><\/div><div class=\"fieldset-result is-hidden\" aria-labelledby=\"result-title\" aria-live=\"polite\" role=\"region\"> <h3 class=\"result-title bg-gradient-to-r from-primary-50 to-gray-50 dark:from-primary-900 dark:to-gray-800\" id=\"result-title\"><span class=\"icon icon-s-pulse\" aria-hidden=\"true\"><\/span> Your Results<\/h3><div class=\"result-box\"><div class=\"field-result\" id=\"output-1\"><span class=\"field-title\"><span>Required sample size<\/span><span class=\"result-term\">n<\/span><\/span><span class=\"field-value\" id=\"result-1\"><\/span><button type=\"button\" class=\"copy-result\" data-tooltip=\"Copy Result\" aria-label=\"Copy Result\"><span class=\"copy-icon icon icon-document-copy\" aria-hidden=\"true\"><\/span><\/button><\/div><div class=\"field-result\" id=\"output-2\"><span class=\"field-title\"><span>Without population correction<\/span><span class=\"result-term\">n\u2080<\/span><\/span><span class=\"field-value\" id=\"result-2\"><\/span><button type=\"button\" class=\"copy-result\" data-tooltip=\"Copy Result\" aria-label=\"Copy Result\"><span class=\"copy-icon icon icon-document-copy\" aria-hidden=\"true\"><\/span><\/button><\/div><div class=\"field-result\" id=\"output-3\"><span class=\"field-title\"><span>Achieved margin of error<\/span><\/span><span class=\"field-value\" id=\"result-3\"><\/span><button type=\"button\" class=\"copy-result\" data-tooltip=\"Copy Result\" aria-label=\"Copy Result\"><span class=\"copy-icon icon icon-document-copy\" aria-hidden=\"true\"><\/span><\/button><\/div><div class=\"field-result\" id=\"output-4\"><span class=\"field-title\"><span>z-value<\/span><span class=\"result-term\">z<\/span><\/span><span class=\"field-value\" id=\"result-4\"><\/span><button type=\"button\" class=\"copy-result\" data-tooltip=\"Copy Result\" aria-label=\"Copy Result\"><span class=\"copy-icon icon icon-document-copy\" aria-hidden=\"true\"><\/span><\/button><\/div><div class=\"field-result is-column\" id=\"output-5\"><span class=\"field-title\"><span>Interpretation<\/span><\/span><span class=\"field-value\" id=\"result-5\"><\/span><button type=\"button\" class=\"copy-result\" data-tooltip=\"Copy Result\" aria-label=\"Copy Result\"><span class=\"copy-icon icon icon-document-copy\" aria-hidden=\"true\"><\/span><\/button><\/div><\/div><div class=\"result-actions\"><button type=\"button\" class=\"copy-link\"><svg viewBox=\"0 0 20 20\" fill=\"currentColor\" aria-hidden=\"true\"><path d=\"M12.232 4.232a2.5 2.5 0 0 1 3.536 3.536l-1.225 1.224a.75.75 0 0 0 1.061 1.06l1.224-1.224a4 4 0 0 0-5.656-5.656l-3 3a4 4 0 0 0 .225 5.865.75.75 0 0 0 .977-1.138 2.5 2.5 0 0 1-.142-3.667l3-3Z\"\/><path d=\"M11.603 7.963a.75.75 0 0 0-.977 1.138 2.5 2.5 0 0 1 .142 3.667l-3 3a2.5 2.5 0 0 1-3.536-3.536l1.225-1.224a.75.75 0 0 0-1.061-1.06l-1.224 1.224a4 4 0 1 0 5.656 5.656l3-3a4 4 0 0 0-.225-5.865Z\"\/><\/svg><span class=\"copy-link__text\">Copy link to this calculation<\/span><\/button><span class=\"sr-only\" role=\"status\" id=\"copy-link-status\"><\/span><\/div><\/div><a href=\"#respond\" class=\"hidden transition-opacity duration-300 opacity-0 w-50 text-sm justify-center items-center gap-2 px-4 py-2 rounded bg-gray-200 text-gray-700 hover:bg-gray-300\" id=\"leave-comment\"><span class=\"icon icon-comments\" aria-hidden=\"true\"><\/span>Leave a Comment<\/a><\/form><\/section><section id=\"calc-reactions\" class=\"not-prose hidden my-12 bg-gradient-to-r from-primary-50 to-gray-50 border border-indigo-100 rounded-xl px-6 py-4 shadow-sm\" data-post=\"65467\" aria-live=\"polite\" aria-labelledby=\"calc-reactions-title\"><p id=\"calc-reactions-title\" class=\"text-sm text-gray-500 text-center mb-2\">How did this result make you feel?<\/p><div role=\"group\" aria-labelledby=\"calc-reactions-title\" class=\"grid grid-cols-3 sm:flex sm:flex-row sm:justify-around gap-4 sm:items-center sm:flex-wrap\"><button type=\"button\" aria-pressed=\"false\" class=\"reaction-btn flex flex-col items-center gap-1 text-sm text-gray-700 hover:text-primary-600 cursor-pointer transition-transform hover:scale-105\" data-reaction=\"like\"><span class=\"reaction-count\" data-reaction-count=\"like\">0<\/span><span class=\"reaction text-3xl\" aria-hidden=\"true\">\ud83d\ude00 <\/span><span class=\"reaction-description font-medium\">Like <\/span><\/button><button type=\"button\" aria-pressed=\"false\" class=\"reaction-btn flex flex-col items-center gap-1 text-sm text-gray-700 hover:text-primary-600 cursor-pointer transition-transform hover:scale-105\" data-reaction=\"helpful\"><span class=\"reaction-count\" data-reaction-count=\"helpful\">0<\/span><span class=\"reaction text-3xl\" aria-hidden=\"true\">\ud83d\udca1 <\/span><span class=\"reaction-description font-medium\">Helpful <\/span><\/button><button type=\"button\" aria-pressed=\"false\" class=\"reaction-btn flex flex-col items-center gap-1 text-sm text-gray-700 hover:text-primary-600 cursor-pointer transition-transform hover:scale-105\" data-reaction=\"confused\"><span class=\"reaction-count\" data-reaction-count=\"confused\">0<\/span><span class=\"reaction text-3xl\" aria-hidden=\"true\">\ud83d\ude15 <\/span><span class=\"reaction-description font-medium\">Confused <\/span><\/button><button type=\"button\" aria-pressed=\"false\" class=\"reaction-btn flex flex-col items-center gap-1 text-sm text-gray-700 hover:text-primary-600 cursor-pointer transition-transform hover:scale-105\" data-reaction=\"disappointed\"><span class=\"reaction-count\" data-reaction-count=\"disappointed\">0<\/span><span class=\"reaction text-3xl\" aria-hidden=\"true\">\ud83d\ude1e <\/span><span class=\"reaction-description font-medium\">Disappointed <\/span><\/button><button type=\"button\" aria-pressed=\"false\" class=\"reaction-btn flex flex-col items-center gap-1 text-sm text-gray-700 hover:text-primary-600 cursor-pointer transition-transform hover:scale-105\" data-reaction=\"inaccurate\"><span class=\"reaction-count\" data-reaction-count=\"inaccurate\">0<\/span><span class=\"reaction text-3xl\" aria-hidden=\"true\">\u274c <\/span><span class=\"reaction-description font-medium\">Inaccurate <\/span><\/button><\/div><div id=\"reaction-message\" class=\"hidden mt-8 rounded-md border border-primary-100 bg-white\/50 backdrop-blur-sm px-4 py-2 text-sm text-center shadow-sm\"><\/div><\/section><div class=\"calcdash-ad not-prose calcdash-ad--calc_result calcdash-ad--in-article\"><ins class=\"adsbygoogle\" style=\"display:block\" data-ad-client=\"ca-pub-1721569815777345\" data-ad-slot=\"6317458308\" data-ad-layout=\"in-article\" data-ad-format=\"fluid\"><\/ins><script>(adsbygoogle = window.adsbygoogle || []).push({});<\/script><\/div>\n<style id=\"wpcoderpro-inline-1\">.formula-box {\r\n\tborder-bottom: none !important;\r\n}<\/style><section class=\"formula-box\" aria-labelledby=\"formula-title\">\r\n\t<div id=\"formula-title\" class=\"not-prose font-display mb-4\"><span class=\"icon icon-formula\" aria-hidden=\"true\"><\/span><h2>Sample Size Formula<\/h2><\/div>\r\n\t<figure class=\"not-prose formula\">\r\n\t\t<figcaption class=\"formula-title\">Formula<\/figcaption>\r\n\t\t<div class=\"text-base text-gray-800\" id=\"formula\">\n\\[ n_0 = \\frac{z^2 \\, p(1-p)}{E^2} \\ \\text{(proportion)} \\qquad n_0 = \\frac{z^2 \\, \\sigma^2}{E^2} \\ \\text{(mean)} \\\\ n = \\frac{n_0}{\\, 1 + \\dfrac{n_0 - 1}{N} \\,} \\ \\text{(finite population correction)} \\]\n<\/div>\r\n\t<\/figure>\r\n\t<\/p>\n<p><strong>Where:<\/strong><\/p>\n<ul>\n<li>\\(z\\) \u2014 the z-value for the chosen confidence level (1.96 at 95%)<\/li>\n<li>\\(p\\) \u2014 expected proportion, as a decimal (0.50 = 50%)<\/li>\n<li>\\(E\\) \u2014 margin of error; for a proportion as a decimal (0.05 = \u00b15 percentage points), for a mean in the same units as the data<\/li>\n<li>\\(\\sigma\\) \u2014 population standard deviation (only when estimating a mean)<\/li>\n<li>\\(n_0\\) \u2014 required sample size for an unlimited (very large) population<\/li>\n<li>\\(N\\) \u2014 population size, when it is known and finite<\/li>\n<li>\\(n\\) \u2014 final required sample size, always rounded up to a whole number<\/li>\n<\/ul>\n<p>The first formula is Cochran's formula for a proportion; the second is its counterpart for a mean. The finite population correction reduces the required sample when a noticeable share of the population is surveyed.<\/p>\n<p>\r\n<\/section>\n<style id=\"wpcoderpro-inline-459\">.calculation-box {\r\n\tborder-bottom: none !important;\r\n}<\/style><section id=\"calculation\" class=\"calculation-box\" aria-labelledby=\"calculation-title\">\r\n\t<div id=\"calculation-title\" class=\"not-prose font-display\"><span class=\"icon icon-unordered-list\" aria-hidden=\"true\"><\/span><h2>Sample Size \u2013 Calculation Example<\/h2><\/div>\r\n\r\n<\/p>\n<p><strong>Example:<\/strong> you want to survey residents of a town of 10,000 people. You expect roughly 50% satisfaction, want a margin of error of \u00b15 percentage points at the 95% confidence level.<\/p>\n<p>\\[ z = 1.959964 \\]<\/p>\n<p>\\[ n_0 = \\frac{1.959964^2 \\times 0.50 \\times (1 - 0.50)}{0.05^2} = \\frac{0.9604}{0.0025} = 384.15 \\rightarrow 385 \\]<\/p>\n<p>\\[ n = \\frac{384.15}{1 + \\dfrac{384.15 - 1}{10\\,000}} = \\frac{384.15}{1.0383} = 369.97 \\rightarrow 370 \\]<\/p>\n<p><strong>Result:<\/strong> you need 370 respondents. Without the population correction the answer would be 385, so knowing the population size saves 15 interviews. With 370 responses and the correction applied, the margin of error is \u00b15.0 percentage points.<\/p>\n<p>\n\r\n<\/section>\n<h2>How to use the calculator<\/h2>\n<ol>\n<li>In <strong>What you estimate<\/strong>, choose \"A proportion or percentage (survey)\" for questions like \"% of voters who support X\", or \"A mean (average value)\" for quantities like average income or weight.<\/li>\n<li>Select the <strong>Confidence level<\/strong> \u2014 95% is the standard choice for most surveys.<\/li>\n<li>Enter the <strong>Margin of error (E)<\/strong>. For a proportion this is in percentage points (5 = \u00b15%); for a mean it is in the same units as the standard deviation (e.g. \u00b1$200).<\/li>\n<li>For proportions, enter your <strong>Expected proportion (p)<\/strong>. If you have no idea, leave it at 50% \u2014 this is the most conservative value and produces the largest sample.<\/li>\n<li>For means, enter the <strong>Population standard deviation (\u03c3)<\/strong>, estimated from a pilot study or previous data.<\/li>\n<li>If the population is small enough that your sample covers a noticeable share of it, check <strong>Finite population (known size)<\/strong> and enter the <strong>Population size (N)<\/strong>. Otherwise leave the box unchecked.<\/li>\n<li>Read the <strong>Required sample size<\/strong>, along with the value without population correction, the achieved margin of error, the z-value and a summary in the interpretation block.<\/li>\n<\/ol>\n<h2>What sample size means and why it matters<\/h2>\n<p>Sample size is the number of people or observations you need to collect so that your estimate \u2014 a percentage or an average \u2014 is accurate enough to be useful. No survey questions everyone; instead, you measure a sample and use it to estimate the whole population. The larger the sample, the closer your result will tend to be to the true value.<\/p>\n<p>Two numbers control the required sample size. The <strong>margin of error<\/strong> says how far your result may sit from the truth: if 62% of your sample answers \"yes\" with a \u00b15% margin of error, the true population value is likely between 57% and 67%. The <strong>confidence level<\/strong> says how often that statement is right: at 95% confidence, the true value falls inside your interval in 95 out of 100 identical surveys.<\/p>\n<p>Tighter margins and higher confidence both cost more data. Going from \u00b15% to \u00b13% more than doubles the sample size, and pushing confidence from 95% to 99% adds roughly 40% more respondents for a proportion. The z-value in the results is the link between the confidence level and the formula:<\/p>\n<table>\n<thead>\n<tr>\n<th>Confidence level<\/th>\n<th>z-value<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>90%<\/td>\n<td>1.6449<\/td>\n<\/tr>\n<tr>\n<td>95%<\/td>\n<td>1.9600<\/td>\n<\/tr>\n<tr>\n<td>98%<\/td>\n<td>2.3263<\/td>\n<\/tr>\n<tr>\n<td>99%<\/td>\n<td>2.5758<\/td>\n<\/tr>\n<tr>\n<td>99.9%<\/td>\n<td>3.2905<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>When the population is small \u2014 say a company of 500 employees \u2014 the finite population correction lowers the required sample, because each respondent represents fewer people. For populations above roughly 100,000 the correction changes little and can be ignored.<\/p>\n<h2>Assumptions, limitations and practical tips<\/h2>\n<ul>\n<li><strong>Simple random sampling is assumed.<\/strong> Every member of the population must have an equal chance of being selected. Stratified, cluster or convenience samples need adjustments (a \"design effect\" that multiplies the sample size).<\/li>\n<li><strong>Non-response inflates your workload.<\/strong> If you expect a 30% response rate, divide the sample size by 0.30: 370 respondents mean sending about 1,233 invitations.<\/li>\n<li><strong>Use 50% when unsure (proportions).<\/strong> The product \\(p(1-p)\\) is largest at \\(p = 0.50\\), so any other guess yields a smaller required sample. If your real result turns out to be far from 50%, your margin of error will actually be smaller than planned.<\/li>\n<li><strong>\u03c3 is rarely known exactly (means).<\/strong> The formula uses the normal (z) distribution and treats \u03c3 as known. If \u03c3 comes from a small pilot (under ~30 observations), a t-distribution would be more appropriate, and the result here is a close approximation.<\/li>\n<li><strong>Subgroups need their own sample.<\/strong> If you plan to analyse results separately by region, age group or segment, size the sample for the smallest group you care about, not just for the total.<\/li>\n<li><strong>The achieved margin of error may differ slightly from E<\/strong> because the sample size is rounded up and, with a finite population, the correction is applied \u2014 the value shown is what your final sample actually delivers.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Calculate how many respondents or observations your survey or study needs. Enter the confidence level, margin of error, expected proportion (or standard deviation) and population size to get the required sample size.<\/p>\n","protected":false},"author":3168,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[74],"tags":[80],"class_list":["post-65467","post","type-post","status-publish","format-standard","hentry","category-statistics","tag-sample-size"],"acf":[],"_links":{"self":[{"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/posts\/65467","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/users\/3168"}],"replies":[{"embeddable":true,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/comments?post=65467"}],"version-history":[{"count":3,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/posts\/65467\/revisions"}],"predecessor-version":[{"id":65719,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/posts\/65467\/revisions\/65719"}],"wp:attachment":[{"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/media?parent=65467"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/categories?post=65467"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wpcalc.com\/en\/wp-json\/wp\/v2\/tags?post=65467"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}