{"id":235,"date":"2026-05-11T02:06:24","date_gmt":"2026-05-11T02:06:24","guid":{"rendered":"https:\/\/percentagedecreasecalculator.com\/?page_id=235"},"modified":"2026-05-27T17:33:46","modified_gmt":"2026-05-27T17:33:46","slug":"mape-calculator","status":"publish","type":"page","link":"https:\/\/percentagedecreasecalculator.com\/mape-calculator\/","title":{"rendered":"MAPE Calculator"},"content":{"rendered":"\n<div id=\"mape-calculator\">\n  <style>\n    #mape-calculator {\n      max-width: 420px;\n      margin: 20px auto;\n      padding: 20px;\n      border-radius: 12px;\n      background: #f5f5f5;\n      border: 2px solid #d1d5db;\n      box-shadow: 0 2px 6px rgba(0,0,0,0.08);\n      font-family: Arial, sans-serif;\n    }\n\n    .field { margin-bottom: 15px; }\n\n    label {\n      display: block;\n      margin-bottom: 6px;\n      font-weight: 600;\n    }\n\n    textarea {\n      width: 100%;\n      padding: 12px;\n      border-radius: 8px;\n      border: 1px solid #ccc;\n      font-size: 16px;\n      min-height: 100px;\n      resize: vertical;\n    }\n\n    button {\n      width: 48%;\n      padding: 12px;\n      margin-top: 10px;\n      border: none;\n      border-radius: 8px;\n      font-size: 16px;\n      cursor: pointer;\n    }\n\n    .calc-btn { background: #1E5195; color: white; }\n    .calc-btn:hover { background: #163d73; }\n\n    .clear-btn { background: #575757; color: white; }\n    .clear-btn:hover { background: #3f3f3f; }\n\n    #result {\n      margin-top: 20px;\n      font-size: 20px;\n      font-weight: 700;\n      text-align: center;\n      line-height: 1.8;\n    }\n\n    .value { color: #1fa22e; }\n\n    .error {\n      color: red;\n      text-align: center;\n      font-weight: 600;\n    }\n  <\/style>\n\n  <!-- Observed -->\n  <div class=\"field\">\n    <label>Observed Values (comma separated)<\/label>\n    <textarea id=\"observed\" placeholder=\"e.g. 34, 37, 44, 47\"><\/textarea>\n  <\/div>\n\n  <!-- Predicted -->\n  <div class=\"field\">\n    <label>Predicted Values (comma separated)<\/label>\n    <textarea id=\"predicted\" placeholder=\"e.g. 35, 36, 45, 46\"><\/textarea>\n  <\/div>\n\n  <!-- Buttons -->\n  <div style=\"display:flex; gap:4%;\">\n    <button class=\"calc-btn\" onclick=\"calculateMAPE()\">Calculate<\/button>\n    <button class=\"clear-btn\" onclick=\"clearFields()\">Clear<\/button>\n  <\/div>\n\n  <!-- Output -->\n  <div id=\"result\"><\/div>\n\n  <script>\n    function format(num) {\n      return parseFloat(num.toFixed(5));\n    }\n\n    function parseValues(str) {\n      return str.split(',')\n                .map(v => parseFloat(v.trim()))\n                .filter(v => !isNaN(v));\n    }\n\n    function calculateMAPE() {\n      const obs = parseValues(document.getElementById('observed').value);\n      const pred = parseValues(document.getElementById('predicted').value);\n\n      if (obs.length === 0 || pred.length === 0 || obs.length !== pred.length) {\n        document.getElementById('result').innerHTML =\n          \"<div class='error'>Both lists must have equal valid values.<\/div>\";\n        return;\n      }\n\n      let sum = 0;\n      let count = 0;\n\n      for (let i = 0; i < obs.length; i++) {\n        if (obs[i] === 0) continue;\n\n        sum += Math.abs((obs[i] - pred[i]) \/ obs[i]);\n        count++;\n      }\n\n      if (count === 0) {\n        document.getElementById('result').innerHTML =\n          \"<div class='error'>Observed values cannot be zero.<\/div>\";\n        return;\n      }\n\n      const mape = (sum \/ count) * 100;\n\n      document.getElementById('result').innerHTML =\n        'MAPE = <span class=\"value\">' + format(mape) + '%<\/span><br>' +\n        'Data Points Used = <span class=\"value\">' + count + '<\/span>';\n    }\n\n    function clearFields() {\n      document.getElementById('observed').value = \"\";\n      document.getElementById('predicted').value = \"\";\n      document.getElementById('result').innerHTML = \"\";\n    }\n  <\/script>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\">What is Mean Absolute Percentage Error Calculator?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">MAPE measures <strong>the average percentage error between predicted and actual values<\/strong>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\ud83d\udc49 <strong>Key Inputs:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Observed Values = actual data<\/li>\n\n\n\n<li>Predicted Values = forecasted data<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">\ud83d\udc49 <strong>Core Output:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>MAPE (%) = average error percentage<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">\ud83d\udc49 <strong>It answers:<\/strong> How accurate are my predictions in percentage terms?<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This metric is widely used in:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Forecasting models<\/li>\n\n\n\n<li>Business analytics<\/li>\n\n\n\n<li>Demand planning<\/li>\n\n\n\n<li>Financial projections<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">For deeper error analysis, you can combine this with a <strong><a href=\"https:\/\/percentagedecreasecalculator.com\/percent-error-calculator\/\">percentage error calculator<\/a><\/strong>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">How to Use Mean Absolute Percentage Error Calculator?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Using the calculator is simple:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Step 1:<\/strong> Enter observed values (comma separated)<br><strong>Step 2:<\/strong> Enter predicted values (same length)<br><strong>Step 3:<\/strong> Click calculate<br><strong>Step 4:<\/strong> View results instantly<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\ud83d\udc49 You\u2019ll get:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>MAPE percentage<\/li>\n\n\n\n<li>Number of data points used<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Example:<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Observed = 100, 200, 300<br>Predicted = 110, 190, 310<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Result = average percentage error across all points<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">For trend tracking, combine results with a <strong><a href=\"https:\/\/percentagedecreasecalculator.com\/cumulative-percentage-calculator\/\">cumulative percentage calculator<\/a><\/strong>.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">How to Calculate Mean Absolute Percentage Error Manually?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Manual calculation helps you <strong>understand model accuracy and validate results step by step<\/strong>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Mean Absolute Percentage Error Formula<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">MAPE (%) = (1 \/ n) \u00d7 \u03a3 |(Observed \u2212 Predicted) \u00f7 Observed| \u00d7 100<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Step-by-Step Breakdown<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Example:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Observed = 100, 200<br>Predicted = 110, 180<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Step 1: Calculate individual errors<\/h4>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Observed<\/th><th>Predicted<\/th><th>Error<\/th><\/tr><\/thead><tbody><tr><td>100<\/td><td>110<\/td><td>10%<\/td><\/tr><tr><td>200<\/td><td>180<\/td><td>10%<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h4 class=\"wp-block-heading\">Step 2: Average errors<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">(10% + 10%) \u00f7 2 = <strong>10%<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\ud83d\udc49 MAPE = <strong>10%<\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">5 Example Problems of Mean Absolute Percentage Error<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">These examples show how forecast accuracy varies across different datasets.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Example 1: High accuracy<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Observed = 100, 200<br>Predicted = 102, 198<br>Result \u2248 <strong>2%<\/strong><\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Example 2: Moderate accuracy<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Observed = 100, 200<br>Predicted = 110, 190<br>Result \u2248 <strong>10%<\/strong><\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Example 3: Low accuracy<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Observed = 100, 200<br>Predicted = 130, 150<br>Result \u2248 <strong>25%<\/strong><\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Example 4: Perfect prediction<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Observed = 50, 60<br>Predicted = 50, 60<br>Result = <strong>0%<\/strong><\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Example 5: Mixed dataset<\/h4>\n\n\n\n<p class=\"wp-block-paragraph\">Observed = 100, 150, 200<br>Predicted = 90, 160, 210<br>Result \u2248 <strong>8\u201310%<\/strong><\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">How to Interpret Your MAPE Results?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">MAPE reflects <strong>forecast accuracy<\/strong>.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>MAPE %<\/th><th>Meaning<\/th><\/tr><\/thead><tbody><tr><td>0\u20135%<\/td><td>Very accurate<\/td><\/tr><tr><td>5\u201310%<\/td><td>Good<\/td><\/tr><tr><td>10\u201320%<\/td><td>Acceptable<\/td><\/tr><tr><td>Above 20%<\/td><td>Poor accuracy<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">\ud83d\udc49 <strong>Example<\/strong>: If MAPE increases from 8% to 15%, you can <strong>find percentage increase in error<\/strong> to understand performance decline.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">When Should You Use Mean Absolute Percentage Error Calculator?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Use this tool when:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Evaluating forecasting models<\/li>\n\n\n\n<li>Comparing prediction accuracy<\/li>\n\n\n\n<li>Monitoring business performance<\/li>\n\n\n\n<li>Analyzing demand forecasts<\/li>\n\n\n\n<li>Improving data models<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">What Are The Limitations of MAPE?<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Cannot handle zero observed values<\/li>\n\n\n\n<li>Sensitive to small denominators<\/li>\n\n\n\n<li>Ignores direction of error<\/li>\n\n\n\n<li>May mislead with extreme values<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Related Calculators<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">To expand your data analysis:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Measure variability with <strong><a href=\"https:\/\/percentagedecreasecalculator.com\/percentage-standard-deviation-calculator\/\">percentage standard deviation calculator<\/a><\/strong><\/li>\n\n\n\n<li>Track trends using <strong><a href=\"https:\/\/percentagedecreasecalculator.com\/mom-calculator\/\">month over month percentage calculator<\/a><\/strong><\/li>\n\n\n\n<li>Convert percent to decimal using <strong><strong><a href=\"https:\/\/percentagedecreasecalculator.com\/percent-to-decimal\/\">percentage to decimal tool<\/a><\/strong><\/strong><\/li>\n\n\n\n<li>Analyze ratios using <strong><a href=\"https:\/\/percentagedecreasecalculator.com\/ratio-to-percentage\/\">ratio to percentage calculator<\/a><\/strong><\/li>\n\n\n\n<li>Convert fractions using <strong>fraction to percentage calculator<\/strong><\/li>\n\n\n\n<li>Measure averages with <strong><a href=\"https:\/\/percentagedecreasecalculator.com\/average-percentage-calculator\/\">average percentage calculator<\/a><\/strong><\/li>\n\n\n\n<li>Analyze knitting decrease using <strong><a href=\"https:\/\/percentagedecreasecalculator.com\/knitting-decrease-calculator\/\">Knitting Decrease Calculator<\/a><\/strong><\/li>\n\n\n\n<li>Understand percentage drop calculations with <strong><a href=\"https:\/\/percentagedecreasecalculator.com\/\" data-type=\"link\" data-id=\"https:\/\/percentagedecreasecalculator.com\/\">percentage drop calculator<\/a><\/strong><\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">FAQs About Mean Absolute Percentage Error Calculator<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\">Q1: What is MAPE?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>A1:<\/strong> It is the average percentage difference between predicted and actual values.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Q2: What is a good MAPE value?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>A2:<\/strong> Typically below 10% is considered good.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Q3: Why use percentage error instead of absolute error?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>A3:<\/strong> It allows comparison across different scales.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Q4: Can MAPE be zero?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>A4:<\/strong> Yes, when predictions are perfectly accurate.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Q5: What happens if observed value is zero?<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>A5:<\/strong> MAPE cannot be calculated because of division by zero.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Observed Values (comma separated) Predicted Values (comma separated) Calculate Clear What is Mean Absolute Percentage Error Calculator? MAPE measures the average percentage error between predicted and actual values. \ud83d\udc49 Key Inputs: \ud83d\udc49 Core Output: \ud83d\udc49 It answers: How accurate are my predictions in percentage terms? This metric is widely used in: For deeper error analysis,&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"class_list":["post-235","page","type-page","status-publish"],"_links":{"self":[{"href":"https:\/\/percentagedecreasecalculator.com\/wp-json\/wp\/v2\/pages\/235","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/percentagedecreasecalculator.com\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/percentagedecreasecalculator.com\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/percentagedecreasecalculator.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/percentagedecreasecalculator.com\/wp-json\/wp\/v2\/comments?post=235"}],"version-history":[{"count":8,"href":"https:\/\/percentagedecreasecalculator.com\/wp-json\/wp\/v2\/pages\/235\/revisions"}],"predecessor-version":[{"id":739,"href":"https:\/\/percentagedecreasecalculator.com\/wp-json\/wp\/v2\/pages\/235\/revisions\/739"}],"wp:attachment":[{"href":"https:\/\/percentagedecreasecalculator.com\/wp-json\/wp\/v2\/media?parent=235"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}