Data

Number of countries with a given minimum urban population threshold

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What you should know about this indicator

  • There is no consistent definition of what constitutes an 'urban area'. This is highly variable across countries. This data presents the number of countries with given minimum thresholds of inhabitants needed for an area to be defined an 'urban area'. For many countries, there is no defined threshold based on inhabitants; other metrics such as population density, infrastructure, or even pre-defined cities may be used.
  • Note that some countries with minimum inhabitant thresholds noted here also require additional qualities (such as population density) to be met.
Number of countries with a given minimum urban population threshold
The number of countries which have adopted a given minimum population threshold (number of inhabitants) for classification of an 'urban area'.
Source
United Nations, Department of Economic and Social Affairs, Population Division (2018)with major processing by Our World in Data
Last updated
January 17, 2024
Date range
2018–2018
Unit
countries

Sources and processing

United Nations, Department of Economic and Social Affairs, Population Division – World Urbanization Prospects Dataset

This dataset is derived from the World Urbanization Prospects, providing comprehensive data on global urbanization trends, including population figures, urban and rural population distributions, and projections for future urban growth.

Retrieved on
January 17, 2024
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
United Nations, Department of Economic and Social Affairs, Population Division (2018). World Urbanization Prospects: The 2018 Revision, Online Edition.

This dataset is derived from the World Urbanization Prospects, providing comprehensive data on global urbanization trends, including population figures, urban and rural population distributions, and projections for future urban growth.

Retrieved on
January 17, 2024
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.
United Nations, Department of Economic and Social Affairs, Population Division (2018). World Urbanization Prospects: The 2018 Revision, Online Edition.

All data and visualizations on Our World in Data rely on data sourced from one or several original data providers. Preparing this original data involves several processing steps. Depending on the data, this can include standardizing country names and world region definitions, converting units, calculating derived indicators such as per capita measures, as well as adding or adapting metadata such as the name or the description given to an indicator.

At the link below you can find a detailed description of the structure of our data pipeline, including links to all the code used to prepare data across Our World in Data.

Read about our data pipeline

How to cite this page

To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:

“Data Page: Number of countries with a given minimum urban population threshold”, part of the following publication: Hannah Ritchie, Veronika Samborska, and Max Roser (2024) - “Urbanization”. Data adapted from United Nations, Department of Economic and Social Affairs, Population Division. Retrieved from https://archive.ourworldindata.org/20260304-094028/grapher/countries-with-minimum-urban-threshold.html [online resource] (archived on March 4, 2026).

How to cite this data

In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

United Nations, Department of Economic and Social Affairs, Population Division (2018) – with major processing by Our World in Data

Full citation

United Nations, Department of Economic and Social Affairs, Population Division (2018) – with major processing by Our World in Data. “Number of countries with a given minimum urban population threshold” [dataset]. United Nations, Department of Economic and Social Affairs, Population Division, “World Urbanization Prospects Dataset” [original data]. Retrieved April 1, 2026 from https://archive.ourworldindata.org/20260304-094028/grapher/countries-with-minimum-urban-threshold.html (archived on March 4, 2026).

Quick download

Download the data shown in this chart as a ZIP file containing a CSV file, metadata in JSON format, and a README. The CSV file can be opened in Excel, Google Sheets, and other data analysis tools.

Data API

Use these URLs to programmatically access this chart's data and configure your requests with the options below. Our documentation provides more information on how to use the API, and you can find a few code examples below.

Data URL (CSV format)
https://ourworldindata.org/grapher/countries-with-minimum-urban-threshold.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/countries-with-minimum-urban-threshold.metadata.json?v=1&csvType=full&useColumnShortNames=false

Code examples

Examples of how to load this data into different data analysis tools.

Excel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/countries-with-minimum-urban-threshold.csv?v=1&csvType=full&useColumnShortNames=false")
Python with Pandas
import pandas as pd
import requests

# Fetch the data.
df = pd.read_csv("https://ourworldindata.org/grapher/countries-with-minimum-urban-threshold.csv?v=1&csvType=full&useColumnShortNames=false", storage_options = {'User-Agent': 'Our World In Data data fetch/1.0'})

# Fetch the metadata
metadata = requests.get("https://ourworldindata.org/grapher/countries-with-minimum-urban-threshold.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/countries-with-minimum-urban-threshold.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/countries-with-minimum-urban-threshold.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/countries-with-minimum-urban-threshold.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear