Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata.

DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted.

REGION: Africa

SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator)

PROJECTION: Geographic, WGS84

UNITS: Estimated persons per grid square

MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743.

FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)

FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

Gambia data available from WorldPop here.

In 2022, the population density in Gambia increased by six inhabitants per square kilometer (+2.36 percent) compared to 2021. Therefore, the population density in Gambia reached a peak in 2022 with 260.52 inhabitants per square kilometer. Notably, the population density continuously increased over the last years.Population density refers to the average number of residents per square kilometer of land across a given country or region. 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 Guinea and Nigeria.

Gambia population density for 2022 was 260.52, a 2.35% increase from 2021.

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

<li>Gambia population density for 2021 was <strong>254.55</strong>, a <strong>2.4% increase</strong> from 2020.</li>
<li>Gambia population density for 2020 was <strong>248.59</strong>, a <strong>2.4% increase</strong> from 2019.</li>
<li>Gambia population density for 2019 was <strong>242.77</strong>, a <strong>2.38% increase</strong> from 2018.</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 Gambia was reported at 261 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Gambia - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Gambia: (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). Methodology These high-resolution maps are created using machine learning techniques to identify buildings from commercially available satellite images. This is then overlayed with general population estimates based on publicly available census data and other population statistics at Columbia University. The resulting maps are the most detailed and actionable tools available for aid and research organizations. For more information about the methodology used to create our high resolution population density maps and the demographic distributions, click here. For information about how to use HDX to access these datasets, please visit: https://dataforgood.fb.com/docs/high-resolution-population-density-maps-demographic-estimates-documentation/ Adjustments to match the census population with the UN estimates are applied at the national level. The UN estimate for a given country (or state/territory) is divided by the total census estimate of population for the given country. The resulting adjustment factor is multiplied by each administrative unit census value for the target year. This preserves the relative population totals across administrative units while matching the UN total. More information can be found here

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. More information.

There is also a tiled version of this dataset that may be easier to use if you are interested in many countries.

Density of nursing and midwifery personnel of Gambia decreased by 1.75% from 0.7 number per thousand population in 2020 to 0.7 number per thousand population in 2021. Since the 23.49% surge in 2015, density of nursing and midwifery personnel sank by 52.80% in 2021.

Social distancing is a public health measure intended to reduce infectious disease transmission, by maintaining physical distance between individuals or households. In the context of the COVID-19 pandemic, populations in many countries around the world have been advised to maintain social distance (also referred to as physical distance), with distances of 6 feet or 2 metres commonly advised. Feasibility of social distancing is dependent on the availability of space and the number of people, which varies geographically. In locations where social distancing is difficult, a focus on alternative measures to reduce disease transmission may be needed. To help identify locations where social distancing is difficult, we have developed an ease of social distancing index. By index, we mean a composite measure, intended to highlight variations in ease of social distancing in urban settings, calculated based on the space available around buildings and estimated population density. Index values were calculated for small spatial units (vector polygons), typically bounded by roads, rivers or other features. This dataset provides index values for small spatial units within urban areas in Gambia. Measures of population density were calculated from high-resolution gridded population datasets from WorldPop, and the space available around buildings was calculated using building footprint polygons derived from satellite imagery (Ecopia.AI and Maxar Technologies. 2020). These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 project with funding from the Bill and Melinda Gates Foundation and the United Kingdom’s Department for International Development. Project partners included the United Nations Population Fund (UNFPA), Center for International Earth Science Information Network (CIESIN) in the Earth Institute at Columbia University, and the Flowminder Foundation.

Statistics illustrates consumption, production, prices, and trade of Medium density fibreboard (MDF) of thickness over 9 mm in Gambia from 2007 to 2024.

Abstract

The Population and Housing census (PHC) like the previous censuses was a national exercise, it was the country's sixth completed census. The information presented in this census report was extracted from the abstracts prepared by the enumerators immediately after completion of the 2013 census count. The PHC covered characteristics such as population size, sex composition, density and household size at local government area and district levels. This report was followed by detail basic reports that gave information related to demographic, environmental, communication, agricultural and other socio-economic characteristics of the population and housing units. The provisional population estimates indicated that the population of The Gambia has steadily grown since the commencement of a complete census in 1963, rising from less than one-third million persons in 1963 to 1.4 million persons in 2003 and now 1.9 million persons in 2013.The PHC enumeration was successfully conducted from April 8th to 28th 2013. The census was carried out under the legal framework of the Statistical Act 2005 which empowered the Gambia Bureau of Statistics (GBoS) to conduct a population census in 2013 and every ten years thereafter. The specific objectives of the PHC included:

1. Counting all the people in the country and providing the government with their number in each Local Government Area (LGA) and district, by age, sex and several other characteristics. These figures are required for various aspects of economic and development planning. The ultimate aim of such planning is to provide a better way of life for the people of The Gambia and to conquer what is called the Five Giants: Disease, Ignorance, Squalor, Idleness and Want.
2. Planning for education requires knowledge of the number of children of school age who are likely to require schooling at various levels. The government will be informed on where to build the necessary schools or how many school teachers must be trained so that it knows where the need is greater in terms of the number of children who should be going to school.
3. Housing is a major problem particularly in urban areas where people are often living in terribly crowded conditions. If new houses are to be built in order to relieve this overcrowding, the government must know the number of people living in these conditions and who will be requiring such houses.
4. The government wishes to improve and extend the medical services of the country so as to eliminate diseases and to reduce the number of children dying in infancy and early childhood.
5. Knowing how fast the population is increasing so that the government can be informed on how many people there will be this year, in five years or in ten years' time.

Geographic coverage

National

Analysis unit

• Households
• Individuals

Kind of data

Census/enumeration data [cen]

Sampling procedure

The Preliminary results of the 2013 Population and Housing Census show that 1,882,450 persons were enumerated in The Gambia. The pilot census covered a sample of 40 Enumeration Areas (EAs) selected all over the country using statistical techniques. All in all 40 enumerators and 8 supervisors were finally selected after the 2013 training.

Mode of data collection

Face-to-face [f2f]

Research instrument

The PHC was comprised of a set of survey instruments. These were the following questionnaires: 1. Form A Household Questionnaire - Part 1 2. Form B Group Quarters and Floating Population Questionnaire - Part 1 3. Form C Building & Compound Particulars

Social distancing is a public health measure intended to reduce infectious disease transmission, by maintaining physical distance between individuals or households. In the context of the COVID-19 pandemic, populations in many countries around the world have been advised to maintain social distance (also referred to as physical distance), with distances of 6 feet or 2 metres commonly advised. Feasibility of social distancing is dependent on the availability of space and the number of people, which varies geographically. In locations where social distancing is difficult, a focus on alternative measures to reduce disease transmission may be needed. To help identify locations where social distancing is difficult, we have developed an ease of social distancing index. By index, we mean a composite measure, intended to highlight variations in ease of social distancing in urban settings, calculated based on the space available around buildings and estimated population density. Index values were calculated for small spatial units (vector polygons), typically bounded by roads, rivers or other features. This dataset provides index values for small spatial units within urban areas in Gambia. Measures of population density were calculated from high-resolution gridded population datasets from WorldPop, and the space available around buildings was calculated using building footprint polygons derived from satellite imagery (Ecopia.AI and Maxar Technologies. 2020). These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 project with funding from the Bill and Melinda Gates Foundation and the United Kingdom’s Department for International Development. Project partners included the United Nations Population Fund (UNFPA), Center for International Earth Science Information Network (CIESIN) in the Earth Institute at Columbia University, and the Flowminder Foundation.

These 28 tiff files represent 2015 population estimates. However, please note that many of the country-level files include 2020 population estimates including: Angola, Benin, Botswana, Burundi, Cameroon, Cabo Verde, Cote d'Ivoire, Djibouti, Eritrea, Eswatini, The Gambia, Ghana, Lesotho, Liberia, Mozambique, Namibia, Sao Tome & Principe, Sierra Leone, South Africa, Togo, Zambia, and Zimbabwe. South Sudan, Sudan, Somalia and Ethiopia are intentionally omitted from this dataset. However, a country-level dataset for Ethiopia can be found at https://data.humdata.org/dataset/ethiopia-high-resolution-population-density-maps-demographic-estimates.

The population density in the Niger increased by 0.6 inhabitants per square kilometer (+3.1 percent) in 2022 in comparison to the previous year. Therefore, the population density in the Niger reached a peak in 2022 with 19.98 inhabitants per square kilometer. Notably, the population density continuously increased over the last years.Population density refers to the average number of residents per square kilometer of land across a given country or region. 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 The Gambia and Mauritania.

Social distancing is a public health measure intended to reduce infectious disease transmission, by maintaining physical distance between individuals or households. In the context of the COVID-19 pandemic, populations in many countries around the world have been advised to maintain social distance (also referred to as physical distance), with distances of 6 feet or 2 metres commonly advised. Feasibility of social distancing is dependent on the availability of space and the number of people, which varies geographically. In locations where social distancing is difficult, a focus on alternative measures to reduce disease transmission may be needed. To help identify locations where social distancing is difficult, we have developed an ease of social distancing index. By index, we mean a composite measure, intended to highlight variations in ease of social distancing in urban settings, calculated based on the space available around buildings and estimated population density. Index values were calculated for small spatial units (vector polygons), typically bounded by roads, rivers or other features. This dataset provides index values for small spatial units within urban areas in Gambia. Measures of population density were calculated from high-resolution gridded population datasets from WorldPop, and the space available around buildings was calculated using building footprint polygons derived from satellite imagery (Ecopia.AI and Maxar Technologies. 2020). These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the GRID3 project with funding from the Bill and Melinda Gates Foundation and the United Kingdom’s Department for International Development. Project partners included the United Nations Population Fund (UNFPA), Center for International Earth Science Information Network (CIESIN) in the Earth Institute at Columbia University, and the Flowminder Foundation.

The dataset is a zip file that contains 28 cloud optimized tiff files that cover the continent of Africa. Each of the 28 files represents a region or area - these are not divided by country. These 28 tiff files represent 2015 population estimates. However, please note that many of the country-level files include 2020 population estimates including: Angola, Benin, Botswana, Burundi, Cameroon, Cabo Verde, Cote d'Ivoire, Djibouti, Eritrea, Eswatini, The Gambia, Ghana, Lesotho, Liberia, Mozambique, Namibia, Sao Tome & Principe, Sierra Leone, South Africa, Togo, Zambia, and Zimbabwe. To create the high-resolution maps, machine learning techniques are used to identify buildings from commercially available satellite images then general population estimates are overlaid based on publicly available census data and other population statistics. The resulting maps are the most detailed and actionable tools available for aid and research organizations.

Statistics illustrates consumption, production, prices, and trade of Medium density fibreboard (MDF) of thickness under 5 mm in Gambia from 2007 to 2024.

Statistics illustrates consumption, production, prices, and trade of Fibreboard (other than MDF) of a density exceeding 0.5g/cm3 but not 0.8g/cm3, of wood or other ligneous materials, bonded or not with resins or other organic substances in Gambia from 2007 to 2024.

countries Currency Gambian dalasi. name, long name, population (source), population, constitutional form, drives on, head of state authority, Main continent, number of airports, Airports - with paved runways, Airports - with unpaved runways, Area, Birth rate, calling code, Children under the age of 5 years underweight, Current Account Balance, Death rate, Debt - external, Economic aid donor, Electricity consumption, Electricity consumption per capita, Electricity exports, Electricity imports, Electricity production, Exports, GDP - per capita (PPP), GDP (purchasing power parity), GDP real growth rate, Gross national income, Human Development Index, Health expenditures, Heliports, HIV AIDS adult prevalence rate, HIV AIDS deaths, HIV AIDS people living with HIV AIDS, Hospital bed density, capital city, Currency, Imports, Industrial production growth rate, Infant mortality rate, Inflation rate consumer prices, Internet hosts, internet tld, Internet users, Investment (gross fixed), iso 3166 code, ISO CODE, Labor force, Life expectancy at birth, Literacy, Manpower available for military service, Manpower fit for military service, Manpower reaching militarily age annually, is democracy, Market value of publicly traded shares, Maternal mortality rate, Merchant marine, Military expenditures percent of GDP, Natural gas consumption, Natural gas consumption per capita, Natural gas exports, Natural gas imports, Natural gas production, Natural gas proved reserves, Net migration rate, Obesity adult prevalence rate, Oil consumption, Oil consumption per capita, Oil exports, Oil imports, Oil production, Oil proved reserves, Physicians density, Population below poverty line, Population census, Population density, Population estimate, Population growth rate, Public debt, Railways, Reserves of foreign exchange and gold, Roadways, Stock of direct foreign investment abroad, Stock of direct foreign investment at home, Telephones main lines in use, Telephones main lines in use per capita, Telephones mobile cellular, Telephones mobile cellular per capita, Total fertility rate, Unemployment rate, Unemployment, youth ages 15-24, Waterways, valley, helicopter, canyon, artillery, crater, religion, continent, border, Plateau, marsh, Demonym

The raster dataset consists of a 500 m score grid for the crop storage location, produced under the scope of FAO’s Hand-in-Hand Initiative, Geographical Information Systems - Multicriteria Decision Analysis for value chain infrastructure location.

The location score is achieved by processing sub-model outputs that characterize logistical factors for selected crop warehouse locations:

• Supply: Maize.

• Demand: Human population density, Major cities population (national and bordering countries).

• Infrastructure/accessibility: main transportation infrastructure.

It consists of an arithmetic weighted sum of normalized grids (0 to 100):

("Crop Production" * 0.4) + ("Human Population Density" * 0.2) + (”Asset Wealth” * 0.1) + (“Major Cities Accessibility” * 0.1) + (“Regional Cities Accessibility” * 0.1) + (“Port Accessibility” * 0.1).

Data publication: 2022-05-12

Contact points:

Resource Contact: FAO-Data

Maintainer: Justeen De Ocampo

Data lineage:

Major data sources, FAO GIS platform Hand-in-Hand and OpenStreetMap (open data) including the following datasets:

1. Human Population Density 2020 – WorldPop2020 - Estimated total number of people per grid-cell 1km. https://data.apps.fao.org/catalog/iso/304c21fb-0f5a-44ad-9948-2af6a7144fb5
2. Mapspam Production – IFPRI's Spatial Production Allocation Model (SPAM) estimates of crop distribution within disaggregated units. https://data.apps.fao.org/map/catalog/srv/eng/catalog.search;jsessionid=4AA4D377D0F90E3328ACBDB5C21BFFC6?node=srv#/metadata/0c6be5d1-3a73-4516-953b-dbe2b511d6b3
3. OpenStreetMap.
4. Poverty – Atlas AI 2020. https://docs.atlasai.co/economic%20well-being/asset_wealth/

Resource constraints:

Creative Commons Attribution-NonCommercial-ShareAlike 3.0 IGO (CC BY-NC- SA 3.0 IGO)

Online resources:

Zipped raster TIF file for Crop Storage Location Score: Maize (The Gambia - ~ 500 m)

GM：人口密度：每平方公里人口在12-01-2017达207.566Person/sq km，相较于12-01-2016的201.433Person/sq km有所增长。GM：人口密度：每平方公里人口数据按年更新，12-01-1961至12-01-2017期间平均值为87.069Person/sq km，共57份观测结果。该数据的历史最高值出现于12-01-2017，达207.566Person/sq km，而历史最低值则出现于12-01-1961，为37.227Person/sq km。CEIC提供的GM：人口密度：每平方公里人口数据处于定期更新的状态，数据来源于World Bank，数据归类于全球数据库的冈比亚 – 表 GM.世行.WDI：人口和城市化进程统计。