In 2022, the population density in Colombia remained nearly unchanged at around 46.63 inhabitants per square kilometer. Still, the population density reached its highest value in the observed period in 2022. Population density refers to the number of people living in a certain country or area, given as an average per square kilometer. It is calculated by dividing the total midyear population by the total land area.Find more key insights for the population density in countries like Guyana and Suriname.

Colombia population density for 2021 was 46.43, a 1.15% increase from 2020.

<ul style='margin-top:20px;'>

<li>Colombia population density for 2020 was <strong>45.90</strong>, a <strong>1.48% increase</strong> from 2019.</li>
<li>Colombia population density for 2019 was <strong>45.23</strong>, a <strong>1.85% increase</strong> from 2018.</li>
<li>Colombia population density for 2018 was <strong>44.41</strong>, a <strong>1.91% increase</strong> from 2017.</li>
</ul>Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.

Population density (people per sq. km of land area) in Colombia was reported at 46.63 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Colombia - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Colombia CO: Population Density: People per Square Km data was reported at 46.632 Person/sq km in 2022. This records an increase from the previous number of 46.136 Person/sq km for 2021. Colombia CO: Population Density: People per Square Km data is updated yearly, averaging 30.130 Person/sq km from Dec 1961 (Median) to 2022, with 62 observations. The data reached an all-time high of 46.632 Person/sq km in 2022 and a record low of 14.507 Person/sq km in 1961. Colombia CO: Population Density: People per Square Km data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Colombia – Table CO.World Bank.WDI: Population and Urbanization Statistics. Population density is midyear population divided by land area in square kilometers. Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship--except for refugees not permanently settled in the country of asylum, who are generally considered part of the population of their country of origin. Land area is a country's total area, excluding area under inland water bodies, national claims to continental shelf, and exclusive economic zones. In most cases the definition of inland water bodies includes major rivers and lakes.;Food and Agriculture Organization and World Bank population estimates.;Weighted average;

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Colombia: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery.

Colombia CO: Population Density: Inhabitants per sq km data was reported at 46.580 Person in 2022. This records an increase from the previous number of 46.070 Person for 2021. Colombia CO: Population Density: Inhabitants per sq km data is updated yearly, averaging 38.010 Person from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 46.580 Person in 2022 and a record low of 29.980 Person in 1990. Colombia CO: Population Density: Inhabitants per sq km data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s Colombia – Table CO.OECD.GGI: Social: Demography: OECD Member: Annual.

Number of cyclist and pedestrians by population density

Data on population density by municipality in Colombia for 2010. Square kilometer calculation based on IGAC municipal area data for that year.

Comprehensive socio-economic dataset for Colombia including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

The density of dentists in Colombia increased from **** to **** professionals per 10,000 people between 2010 and 2020. During the last year reported, there were an estimated *** dentists per 10,000 people in the country.

In 2023, an estimate of 27.8 million Colombian adults had a net worth of less than 10 thousand U.S. dollars. In contrast, the total net assets of approximately 38 thousand people above 18 years old in the South American country surpassed one million dollars. Colombia is among the most unequal countries in Latin America.

As of 2021, Ecuador had a population density of 72 people per squared kilometer, the highest in South America. Colombia ranked second, with 42 people per km2 of land area. When it comes to total population in South America, Brazil had the largest number, with over 216 million inhabitants.

As of 2023, the top five most densely populated cities in Latin America and the Caribbean were in Colombia. The capital, Bogotá, ranked first with over ****** inhabitants per square kilometer.

About this dataset

Context

The dataset tabulates the population of Columbia by race. It includes the population of Columbia across racial categories (excluding ethnicity) as identified by the Census Bureau. The dataset can be utilized to understand the population distribution of Columbia across relevant racial categories.

Key observations

The percent distribution of Columbia population by race (across all racial categories recognized by the U.S. Census Bureau): 74.18% are white, 22.55% are Black or African American, 1.78% are some other race and 1.48% are multiracial.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Racial categories include:

• White
• Black or African American
• American Indian and Alaska Native
• Asian
• Native Hawaiian and Other Pacific Islander
• Some other race
• Two or more races (multiracial)

Variables / Data Columns

• Race: This column displays the racial categories (excluding ethnicity) for the Columbia
• Population: The population of the racial category (excluding ethnicity) in the Columbia is shown in this column.
• % of Total Population: This column displays the percentage distribution of each race as a proportion of Columbia total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Columbia Population by Race & Ethnicity. You can refer the same here

The Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11 consists of estimates of human population density (number of persons per square kilometer) based on counts consistent with national censuses and population registers, for the years 2000, 2005, 2010, 2015, and 2020. A proportional allocation gridding algorithm, utilizing approximately 13.5 million national and sub-national administrative units, was used to assign population counts to 30 arc-second grid cells. The population density rasters were created by dividing the population count raster for a given target year by the land area raster. The data files were produced as global rasters at 30 arc-second (~1 km at the equator) resolution.

Purpose: To provide estimates of population density for the years 2000, 2005, 2010, 2015, and 2020, based on counts consistent with national censuses and population registers, as raster data to facilitate data integration.

Recommended Citation(s)*: Center for International Earth Science Information Network - CIESIN - Columbia University. 2018. Gridded Population of the World, Version 4 (GPWv4): Population Density, Revision 11. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H49C6VHW. Accessed DAY MONTH YEAR.

The Gridded Population of the World, Version 3 (GPWv3): Population Density Grid consists of estimates of human population for the years 1990, 1995, and 2000 by 2.5 arc-minute grid cells and associated data sets dated circa 2000. A proportional allocation gridding algorithm, utilizing more than 300,000 national and sub-national administrative Units, is used to assign population values to grid cells. The population density grids are derived by dividing the population count grids by the land area grid and represent persons per square kilometer. The grids are available in various GIS-compatible data formats and geographic extents (global, continent [Antarctica not included], and country levels). GPWv3 is produced by the Columbia University Center for International Earth Science Information Network (CIESIN) in collaboration with Centro Internacional de Agricultura Tropical (CIAT).

About this dataset

Context

The dataset tabulates the District of Columbia Hispanic or Latino population. It includes the distribution of the Hispanic or Latino population, of District of Columbia, by their ancestries, as identified by the Census Bureau. The dataset can be utilized to understand the origin of the Hispanic or Latino population of District of Columbia.

Key observations

Among the Hispanic population in District of Columbia, regardless of the race, the largest group is of Other Hispanic or Latino origin, with a population of 54,850 (70.54% of the total Hispanic population).

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

Origin for Hispanic or Latino population include:

• Mexican
• Puerto Rican
• Cuban
• Other Hispanic or Latino

Variables / Data Columns

• Origin: This column displays the origin for Hispanic or Latino population for the District of Columbia
• Population: The population of the specific origin for Hispanic or Latino population in the District of Columbia is shown in this column.
• % of Total Hispanic Population: This column displays the percentage distribution of each Hispanic origin as a proportion of District of Columbia total Hispanic or Latino population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for District of Columbia Population by Race & Ethnicity. You can refer the same here

"GPWv4 is a gridded data product that depicts global population data from the 2010 round of Population and Housing Censuses. The Population Density, 2020 layer represents persons per square kilometer for year 2020.

Data Summary GPWv4 is constructed from national or subnational input areal units of varying resolutions. The native grid cell size is 30 arc-seconds, or ~1 km at the equator. Separate grids are available for population count, population density, estimated land area, and data quality indicators; which include the water mask represented in this service. Population estimates are derived by extrapolating the raw census counts to estimates for the 2010 target year. The development of GPWv4 builds upon previous versions of the data set (Tobler et al., 1997; Deichmann et al., 2001; Balk et al., 2006).

The full GPWv4 data collection will consist of population estimates for the years 2000, 2005, 2010, 2015, and 2020, and will include grids for estimates of total population, age, sex, and urban/rural status. However, this release consists only of total population estimates for the year 2020. This data is being released now to allow users access to the population grids.

Recommended Citation Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. Gridded Population of the World, Version 4 (GPWv4): Population Density. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). http://dx.doi.org/10.7927/H4NP22DQ. Accessed DAY MONTH YEAR"

This dataset presents demographic information of 16,012 students admitted to various regional campuses of the Universidad Nacional de Colombia. The data are compared against departmental population statistics from the Colombian National Administrative Department of Statistics (DANE).

The dataset enables comparative analysis of higher education access gaps by employing Gini index calculations to quantify inequality and examine the impact of students’ school background, age, and socioeconomic status. The objective is to identify disparities in access among citizens aged 20–39 compared to the population admitted to higher education programs.