{"id":34487,"date":"2025-07-23T15:11:19","date_gmt":"2025-07-23T13:11:19","guid":{"rendered":"https:\/\/www.geopostcodes.com\/en-GB\/?p=34487"},"modified":"2026-04-01T07:01:01","modified_gmt":"2026-04-01T07:01:01","slug":"understanding-the-average-population-of-a-city-trends-and-insights","status":"publish","type":"post","link":"https:\/\/www.geopostcodes.com\/en-GB\/blog\/understanding-the-average-population-of-a-city-trends-and-insights\/","title":{"rendered":"Understanding the Average Population of a City: Trends and Insights"},"content":{"rendered":"<p><style> h2 { padding: 0 0 40px; } h2:not(:first-of-type) { padding: 60px 0 40px; } h3, h4, h5 { padding: 40px 0 20px; } .wp-block-list li { margin-bottom: 20px; } .wp-block-image figcaption, .wp-block-table figcaption { margin-top: 10px; font-size: 78%; text-align: middle; } .wp-block-image, .wp-block-table { margin-bottom: 40px; } .bulb-background { background-color: #D7EFFF; padding: 30px; border-radius: 25px; margin-top: 20px; margin-bottom: 40px; } .wp-block-image img { display: block; margin-left: auto; margin-right: auto; border-radius: 15px; } .bulb-background + h2, .bulb-background + h3, .bulb-background + h4, .bulb-background + h5 { margin-top: 0 !important; padding-top: 0 !important; } <\/style>\n<\/p>\n<p><script> document.addEventListener('DOMContentLoaded', () => { document.querySelectorAll('a').forEach(link => { link.setAttribute('target', '_blank'); link.setAttribute('rel', 'noreferrer noopener'); }); document.querySelectorAll('p').forEach(paragraph => { if (paragraph.innerText.includes('\ud83d\udca1')) { paragraph.classList.add('bulb-background'); } }); }); <\/script><\/p>\n\n\n<h2 class=\"wp-block-heading\">Key Takeaways<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>&#8220;Average city population&#8221; is misleading due to vast global variation in city sizes and definitions.<\/li>\n\n\n\n<li>Urban growth and decline trends reshape markets, and averages can hide these dynamics.<\/li>\n\n\n\n<li>Granular, location-specific data outperforms broad averages for decisions in retail, insurance, and planning. <\/li>\n\n\n\n<li>Understanding cities means moving beyond averages\u2014only detailed, localized data can capture the real-world complexity that drives smart decisions.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Why &#8216;Average City Population&#8217; is Misleading Your Business Decisions<\/h2>\n\n\n\n<p><span style=\"box-sizing: border-box; margin: 0px; padding: 0px;\">With the global urban population projected to grow by&nbsp;<strong>2.5 billion by 2050,<\/strong>&nbsp;primarily concentrated in Asian megacities such as Tokyo, Delhi, and Shanghai, understanding city demographics is crucial for effective infrastructure planning and inform<\/span>ed <span style=\"box-sizing: border-box; margin: 0px; padding: 0px;\">business strategy.<\/span><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>City populations range from small towns (&lt;5,000 residents) to megacities (&gt;10 million), each with distinct infrastructure needs and economic profiles. This vast range exists due to different civilizations and development patterns across the globe.<\/li>\n\n\n\n<li>These extremes demonstrate why the &#8220;average city population&#8221; is misleading &#8211; Tokyo (37M) and a Swiss mountain town (5,000) can&#8217;t be meaningfully averaged.<\/li>\n<\/ul>\n\n\n\n<p>These dynamics directly impact public service delivery (transport\/housing) and commercial decisions like retail site selection and insurance risk modeling.<\/p>\n\n\n\n<p>This statistical distortion becomes even more problematic when you consider that the <a href=\"https:\/\/www.geopostcodes.com\/en-GB\/blog\/town-vs-city\/\">city definition<\/a>\u2014and what qualifies as a &#8220;city&#8221; or &#8220;urban area&#8221;\u2014varies greatly from one country to another.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Defining Urban Areas<\/h2>\n\n\n\n<p>The United Nations defines urban areas as <strong>cities and their surrounding areas<\/strong>, which are well-developed, often with a high density of infrastructure, public services, and a large population. It is important to note that the definition can vary between countries.<\/p>\n\n\n\n<p>The lack of universal standards means &#8220;average population&#8221; calculations must specify whether they include suburbs or measure core cities only.<\/p>\n\n\n\n<p>Urban areas can be classified into different types, including metropolitan areas and cities, each with unique characteristics:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong><a href=\"https:\/\/www.geopostcodes.com\/en-GB\/blog\/the-biggest-metro-areas-in-the-united-states\/\">Metropolitan Areas<\/a>:<\/strong> Large, densely populated urban cores and their surrounding economically integrated areas. A prime example is <strong>London (9.5 million people)<\/strong>, which doesn&#8217;t exist as a single &#8220;place&#8221; within England&#8217;s fine-grained administrative divisions but spans 33 boroughs, though users commonly search for &#8220;London&#8221;.<\/li>\n\n\n\n<li><strong>Cities<\/strong>: Defined by population thresholds, historical charters, or administrative designations that vary widely by country. For example, <strong>Medell\u00edn, Colombia,<\/strong> appears multiple times among the world&#8217;s most densely populated postal codes\u2014some exceeding 20,000 residents\/km\u00b2. While not all such areas are officially cities, Medell\u00edn highlights how high density often aligns with what is perceived as urban, underscoring the ambiguity in defining a city.<\/li>\n<\/ul>\n\n\n\n<p>The Census Bureau and other organizations collect and distribute population data and estimates based on many factors, such as urbanization degree and economic growth, to help define urban areas, which is essential for development and planning.<\/p>\n\n\n\n<p>To avoid confusion in the rest of this article, we will refer to all of these as <em>cities<\/em>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>City and Town Population Dynamics<\/strong><\/h3>\n\n\n\n<p><strong>Population growth &amp; decline examples<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Growth<\/strong>: Cities like&nbsp;<strong>Dubai, UAE<\/strong> have seen a +200% population increase since 2025, while Austin, USA, experienced a +35% growth between120262and120262due to job opportunities, tech industries, and migration.<\/li>\n\n\n\n<li><strong>Decline<\/strong>:&nbsp;<strong>Detroit, USA<\/strong> saw a -65% population crash since120262due to the automotive industry collapse. Eastern European towns like <strong>Aluksne, Latvia<\/strong>, have declined due to low birth rates and youth emigration.<\/li>\n<\/ul>\n\n\n\n<p><strong>Why It Matters<\/strong>:&nbsp;Tracking these shifts helps businesses predict market demand, governments allocate resources efficiently, and investors identify growth hotspots or revitalization opportunities.<\/p>\n\n\n\n<p>These changes make &#8220;average population&#8221; a moving target &#8211; today&#8217;s boom town becomes tomorrow&#8217;s average city.<\/p>\n\n\n\n<p><strong>Daytime vs. Nighttime Population<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Daytime populations<\/strong>&nbsp;swell in business districts (e.g.,&nbsp;<strong>Manhattan, London\u2019s Square Mile<\/strong>) as commuters arrive, as well as retail and restaurant staff who often don\u2019t live in the area. This is particularly relevant for job concentration.<\/li>\n\n\n\n<li><strong>Nighttime populations<\/strong>&nbsp;reflect residential areas, influencing housing and local infrastructure needs, such as schools and hospitals.<\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-table ticss-772f0687\"><table class=\"has-fixed-layout\"><thead><tr><th><strong>Location<\/strong><\/th><th><strong>Nighttime<\/strong><\/th><th><strong>Daytime<\/strong><\/th><\/tr><\/thead><tbody><tr><td><strong>Manhattan, NYC<\/strong><\/td><td>1.63 million<\/td><td>3.94 million<\/td><\/tr><tr><td><strong>London Square Mile<\/strong><\/td><td>9,400<\/td><td>513,000<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>Why this matters<\/strong>:&nbsp;Cities use this dual view to right-size rush-hour transit while planning schools and housing where people live, preventing wasteful resource gaps.<\/p>\n\n\n\n<p>This daily fluctuation means population &#8220;averages&#8221; must specify whether they count residents or total daily occupants.<\/p>\n\n\n\n<p>\ud83d\udca1 Stop making decisions with outdated population data. GeoPostcodes provides accurate, up-to-date global population data at Postcode-level. <a href=\"https:\/\/public.geopostcodes.com\/request-a-demo\">Get a demo<\/a>.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>How Population Projections Work<\/strong><\/h3>\n\n\n\n<p>Population projections are the result of global scientific collaboration, relying on two key pillars: <strong>core data sources<\/strong> and advanced <strong>modeling methodology<\/strong>.<\/p>\n\n\n\n<p><strong>Core data sources: <\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>National Censuses<\/strong>: For example, U.S. Decennial Census, India\u2019s National Population Register<\/li>\n\n\n\n<li><strong>Harmonized International Datasets<\/strong>: For example, European Commission&#8217;s Demographic Balance (Eurostat), which tracks births, deaths, and migrations across more than 30 countries<\/li>\n\n\n\n<li><strong>Vital Registration Systems<\/strong>: Real-time birth and death records from official certificates<\/li>\n\n\n\n<li>Satellite &amp; GIS Data: Used to monitor urban sprawl and settlement patterns (e.g., NASA and ESA imagery)<\/li>\n<\/ul>\n\n\n\n<p><strong>Modelling methodology:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Cohort-component models<\/strong>: Statistical systems apply survival rates by age and gender to forecast population changes<\/li>\n\n\n\n<li><strong>Machine learning analysis<\/strong>: Identifies migration patterns driven by factors such as conflict or economic shocks<\/li>\n\n\n\n<li><strong>Policy-adjusted scenarios<\/strong>: Incorporate the effects of government policies (for example, China\u2019s former one-child policy)<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Business Use Cases: Leveraging Population Data<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Urban Planning &amp; Land Use<\/strong><\/h3>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Challenge<\/strong><\/h4>\n\n\n\n<p>Infrastructure planned solely for administrative boundaries often ignores where people actually live and work. This can lead to mismatches between where infrastructure is built and where it is truly needed. This leads to: <\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Overbuilt roads in declining areas<\/li>\n\n\n\n<li>School shortages in high-growth suburbs<\/li>\n\n\n\n<li>Transit gaps between residential and job zones<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Solution<\/strong><\/h4>\n\n\n\n<p>For better urban planning, <a href=\"https:\/\/www.geopostcodes.com\/en-GB\/blog\/town-vs-city\/\">cities<\/a> combine:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Nighttime data<\/strong>&nbsp;(residential density) \u2192 Targets&nbsp;<em>housing, schools, hospitals<\/em><\/li>\n\n\n\n<li><strong>Daytime surges<\/strong>&nbsp;(commuter flows) \u2192 Guides&nbsp;<em>transit, roads, and utilities<\/em><\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Proven impact<\/strong><\/h4>\n\n\n\n<p>The European Commission\u2019s &#8220;Degree of Urbanisation&#8221; framework employs this dual approach to allocate over \u20ac 50 billion in annual cohesion funds.<\/p>\n\n\n\n<p><strong>Infrastructure must serve actual populations, not statistical averages.<\/strong><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Insurance Risk Modeling<\/strong><\/h3>\n\n\n\n<p><strong>Challenge<\/strong><\/p>\n\n\n\n<p>Traditional models, such as catastrophe risk modelling, fail when:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Vacant buildings increase in depopulating towns (higher fire\/theft risk)<\/li>\n\n\n\n<li>Daytime crowds inflate liability exposure (e.g., business districts)<\/li>\n\n\n\n<li>Climate migration abruptly shifts risk pools<\/li>\n<\/ul>\n\n\n\n<p><strong>Solution<\/strong><\/p>\n\n\n\n<p>Actuaries now integrate:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Long-term residential trends<\/strong>&nbsp;\u2192 Price premiums for vacancy risks<\/li>\n\n\n\n<li><strong>Commuter density maps<\/strong>&nbsp;\u2192 Adjust business\/liability coverage<\/li>\n<\/ul>\n\n\n\n<p><strong>Unlike simple averages, this approach captures the dynamic reality of urban populations.<\/strong><\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Retail Expansion<\/strong><\/h3>\n\n\n\n<p><strong>Challenge<\/strong><\/p>\n\n\n\n<p>Revenue plummets when stores are:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>In residential areas with low daytime activity<\/li>\n\n\n\n<li>Near-declining populations with reduced spending power<\/li>\n\n\n\n<li>Absent from commuter corridors with peak foot traffic<\/li>\n<\/ul>\n\n\n\n<p><strong>Solution<\/strong><\/p>\n\n\n\n<p>To optimize site selection, successful chains prioritize:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Daytime hotspots<\/strong>&nbsp;(business districts, transport hubs)<\/li>\n\n\n\n<li><strong>Growth projections<\/strong>&nbsp;(future residential clusters)<\/li>\n\n\n\n<li><strong>Income\/density cross-analysis<\/strong>&nbsp;(e.g., high-earner commuter zones)<\/li>\n\n\n\n<li><strong>Global standard<\/strong>: UN-Habitat recommends retail site selection in areas with >5,000 daytime persons\/km\u00b2<\/li>\n<\/ol>\n\n\n\n<p><strong>This precision targeting outperforms decisions based on city-wide averages.<\/strong><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Conclusion: Beyond the Average<\/strong><\/h2>\n\n\n\n<p>The search for an &#8220;average city population&#8221; reveals a fundamental truth:&nbsp;<strong>meaningful urban insights come from understanding distributions, not arithmetic means.<\/strong>&nbsp;As we&#8217;ve seen:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>City population ranges from tiny towns (&lt;5,000) to megacities (&gt;10M)<\/li>\n\n\n\n<li>Daily fluctuations create daytime\/nighttime population differentials of 300%+<\/li>\n\n\n\n<li>Growth\/decline trends constantly reshape urban landscapes<\/li>\n\n\n\n<li>Practical applications demand granular data, not broad averages<\/li>\n<\/ol>\n\n\n\n<p><strong>The real value lies in recognizing that every city is unique<\/strong>, from Medell\u00edn&#8217;s hyper-dense Postcodes to Detroit&#8217;s population collapse. For businesses, governments, and planners, success comes from embracing this complexity rather than seeking oversimplified averages.<\/p>\n\n\n\n<p>With more than 15 years of experience in Enterprise integration&nbsp;and in-depth knowledge of each country&#8217;s postal structure, GeoPostcodes offers the highest-quality population data. <a href=\"https:\/\/www.geopostcodes.com\/en-GB\/product-sheet-population-database\/\">Request documentation<\/a> for free and <a href=\"https:\/\/public.geopostcodes.com\/request-a-demo\">get a demo<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">FAQs<\/h2>\n\n\n\n<div id=\"wp-block-themeisle-blocks-accordion-aa5641a4\" class=\"wp-block-themeisle-blocks-accordion exclusive has-light-content-bg is-style-default\">\n<details class=\"wp-block-themeisle-blocks-accordion-item\"><summary class=\"wp-block-themeisle-blocks-accordion-item__title\"><div><strong>What defines an urban area?<\/strong><\/div><\/summary><div class=\"wp-block-themeisle-blocks-accordion-item__content\">\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Urban areas include cities and nearby developed zones with dense infrastructure and population.<\/p>\n\n\n\n<p>Definitions vary by country.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<\/div><\/details>\n\n\n\n<details class=\"wp-block-themeisle-blocks-accordion-item\"><summary class=\"wp-block-themeisle-blocks-accordion-item__title\"><div><strong>What&#8217;s the difference between a city and a metropolitan area?<\/strong><\/div><\/summary><div class=\"wp-block-themeisle-blocks-accordion-item__content\">\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Cities are often single administrative units, while metropolitan areas include a central city and its economically linked suburbs.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<\/div><\/details>\n\n\n\n<details class=\"wp-block-themeisle-blocks-accordion-item\"><summary class=\"wp-block-themeisle-blocks-accordion-item__title\"><div><strong>Why do population changes matter?<\/strong><\/div><\/summary><div class=\"wp-block-themeisle-blocks-accordion-item__content\">\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>They help businesses plan markets, governments allocate resources, and investors spot growth or decline areas.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<\/div><\/details>\n\n\n\n<details class=\"wp-block-themeisle-blocks-accordion-item\"><summary class=\"wp-block-themeisle-blocks-accordion-item__title\"><div><strong>Can a city&#8217;s population change during the day?<\/strong><\/div><\/summary><div class=\"wp-block-themeisle-blocks-accordion-item__content\">\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Yes.<\/p>\n\n\n\n<p>Daytime populations can be much higher due to commuters, especially in business districts like Manhattan or London&#8217;s Square Mile.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<\/div><\/details>\n\n\n\n<details class=\"wp-block-themeisle-blocks-accordion-item\"><summary class=\"wp-block-themeisle-blocks-accordion-item__title\"><div><strong>Why track both daytime and nighttime populations?<\/strong><\/div><\/summary><div class=\"wp-block-themeisle-blocks-accordion-item__content\">\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Daytime data helps plan transport and services for workers, while nighttime data guides housing, schools, and healthcare needs.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<\/div><\/details>\n\n\n\n<details class=\"wp-block-themeisle-blocks-accordion-item\"><summary class=\"wp-block-themeisle-blocks-accordion-item__title\"><div><strong>How is city population data collected?<\/strong><\/div><\/summary><div class=\"wp-block-themeisle-blocks-accordion-item__content\">\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>From censuses, satellite data, migration records, and models that factor in births, deaths, and movement trends.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<\/div><\/details>\n\n\n\n<details class=\"wp-block-themeisle-blocks-accordion-item\"><summary class=\"wp-block-themeisle-blocks-accordion-item__title\"><div><strong>What are common population modeling methods?<\/strong><\/div><\/summary><div class=\"wp-block-themeisle-blocks-accordion-item__content\">\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Cohort-component models, machine learning on migration, and policy-based projections are widely used.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<\/div><\/details>\n\n\n\n<details class=\"wp-block-themeisle-blocks-accordion-item\"><summary class=\"wp-block-themeisle-blocks-accordion-item__title\"><div><strong>How is population data used in city planning?<\/strong><\/div><\/summary><div class=\"wp-block-themeisle-blocks-accordion-item__content\">\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>It informs where to build infrastructure like roads, schools, or transit based on where people live and work\u2014not just administrative borders.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<\/div><\/details>\n\n\n\n<details class=\"wp-block-themeisle-blocks-accordion-item\"><summary class=\"wp-block-themeisle-blocks-accordion-item__title\"><div><strong>How does population data help in insurance?<\/strong><\/div><\/summary><div class=\"wp-block-themeisle-blocks-accordion-item__content\">\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>It helps assess risk based on vacant buildings, daytime crowd levels, and changing climate-related migration.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n<\/div><\/details>\n<\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Average city population figures overlook extreme variations that impact planning, risk assessment, and market strategy.<\/p>\n","protected":false},"author":31,"featured_media":35399,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","_themeisle_gutenberg_block_has_review":false,"footnotes":""},"categories":[29,33,56],"tags":[],"class_list":["post-34487","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-processing","category-location-intelligence","category-sales-and-marketing"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Understanding the Average Population of a City: Trends and Insights What is average population of a city?<\/title>\n<meta name=\"description\" content=\"Explore global population trends, city size extremes, and why averages mislead. 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