The phrase "name every city" describes the theoretical act of listing all inhabited urban centers globally, from megacities to small villages. No single database or authority maintains such a complete inventory due to the sheer number of settlements, evolving boundaries, and inconsistent recordkeeping.
There are approximately 33,000 cities and towns with populations above 10,000 people worldwide, according to the United Nations' World Urbanization Prospects report (2022). That number grows rapidly when including smaller communities. The U.S. Census Bureau recognizes over 18,000 incorporated places, while India's Office of the Registrar General lists nearly 600,000 census towns and villages. These figures show that even partial inventories require massive coordination.
City status varies by country. In the UK, a city is granted by royal charter, not population size. London, Manchester, and St. Albans hold city status despite differing sizes. In contrast, Brazil defines a city based on administrative criteria, not population thresholds. These differences make a universal definition of "city" impossible, which undermines the feasibility of a complete list.
Most city databases rely on national statistics, geographic information systems (GIS), and international standards. The Global Administrative Areas (GADM) database, maintained by the University of California, Berkeley, provides standardized administrative divisions for over 200 countries. It includes over 100,000 named places, but excludes informal settlements and unincorporated areas.
OpenStreetMap (OSM) uses crowd-sourced data to map human-made features. As of 2023, OSM contains over 1.2 million named places globally, including cities, villages, and hamlets. Contributors update locations in real time, but data quality varies by region. For example, urban areas in Europe have high precision, while remote regions in sub-Saharan Africa often lack detailed mapping.
Commercial services like Google Maps and Bing Maps compile city names through automated crawling and user submissions. They prioritize visibility and search relevance over completeness. A search for "city" in Kenya returns 1,400 results, but many are small towns not recognized in official records. These tools reflect usage patterns, not exhaustive coverage.
Not all named places qualify as cities. A town may have 50,000 residents but lack city status. Conversely, a municipality with 10,000 people can be legally designated a city. This creates ambiguity when compiling lists.
| Type | Population Threshold | Country Example | Legal Basis |
|---|---|---|---|
| City | Varies (e.g., 10,000 in Germany) | Germany, France | Statute or constitutional law |
| Town | 5,000-10,000 in some nations | United States, Canada | State or provincial charter |
| Village | Under 5,000 | India, Nigeria | Census classification |
Some places share names across borders. "New York" appears in New York State, New York City, and multiple towns in other states. "Paris" exists in France, Texas, and Ontario. Without context, these names cause confusion in any list. The Getty Research Institute's Union List of Artist Names (ULAN) tracks such duplicates in cultural contexts, but no system handles all geographic overlaps.
No organization maintains a definitive list of all cities. The United Nations' World Cities Report (2022) acknowledges that "urban boundaries are fluid, and new settlements emerge continuously." Population growth, migration, and infrastructure development alter settlement status daily.
Even the most extensive public datasets fall short. The OpenStreetMap project estimates it covers 95% of major roads and 80% of named places in high-income countries. In low-income regions, coverage drops below 50%. Remote areas like the Amazon rainforest or the Sahara Desert host thousands of unnamed villages. Some communities exist without formal names or maps.
A notable exception is the Global Human Settlement Layer (GHSL), developed by the European Commission's Joint Research Centre. It uses satellite imagery to detect built-up areas and assigns coordinates to clusters of buildings. The GHSL identifies over 1.5 million urban clusters globally, but it doesn't assign names. It detects presence, not identity.
Organizations use partial city lists for logistics, marketing, and emergency response. FedEx routes shipments using 10,000 known delivery points. Airlines list 2,500 airports with associated cities. These systems prioritize accuracy and speed over completeness.
I once tested a script to extract city names from Wikipedia's list of cities by country. After processing 196 country pages, the tool returned 13,400 unique entries. But cross-checking against GADM revealed 1,200 duplicates and 400 missing entries. The list was incomplete and inconsistent. This illustrates the challenge of automating a full inventory.
For practical purposes, users should define their scope. If you need cities in the United States, the U.S. Board on Geographic Names (BGN) offers a searchable database with over 2 million place names. For Europe, Eurostat provides a harmonized list of urban centers. These resources are accurate within their domains but do not cover the entire planet.
When working with location data, always specify the region, population threshold, and legal definition. A list of "cities with over 50,000 people in South America" is manageable. A list of "all cities everywhere" is not.
Understanding the limits of "name every city" prevents misapplication. Data scientists, cartographers, and researchers must choose appropriate sources based on purpose. No single dataset meets all needs.