The population density in Nigeria amounted to 245.01 people in 2022. In a steady upward trend, the population density rose by 194.52 people from 1961.

This is a webmap that displays the population density by state of the country Nigeria as at 2006. It showcases a visual, easy-to-understand display of the difference in population density among the different states using a graduated colour scheme. The population density is calculated by dividing the states total population by the are of its landmass in m².

Historical dataset showing Nigeria population density by year from 1961 to 2022.

Population density (people per sq. km of land area) in Nigeria was reported at 245 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Nigeria - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

This is a webmap that displays the population density by state of the country Nigeria as at 2016. It showcases a visual, easy-to-understand display of the difference in population density among the different states using a graduated colour scheme. The population density is calculated by dividing the states total population by the are of its landmass in m².

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. Nigeria data available from WorldPop here.

Nigeria: Population density, in people per sq. mile: The latest value from is people per sq. mile, unavailable from people per sq. mile in . In comparison, the world average is 0 people per sq. mile, based on data from countries. Historically, the average for Nigeria from to is people per sq. mile. The minimum value, people per sq. mile, was reached in while the maximum of people per sq. mile was recorded in .

Nigeria NG: Population Density: People per Square Km data was reported at 209.588 Person/sq km in 2017. This records an increase from the previous number of 204.211 Person/sq km for 2016. Nigeria NG: Population Density: People per Square Km data is updated yearly, averaging 101.941 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 209.588 Person/sq km in 2017 and a record low of 50.576 Person/sq km in 1961. Nigeria NG: 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 Nigeria – Table NG.World Bank: 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;

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.

Nigeria data available from WorldPop here.

This app offers an interactive legend allowing users a more holistic experience with the 2016 Nigeria Population Density Map. In this app, unlike the web map, users can interact with the legend. By clicking on categories defined in the legend, they can focus on particular categories/ranges that are more relevant to them.

This Web App showcases a simple and at-a-glance comparison between the Population density of Nigeria in 1991 and 2006. It features two individual web apps that display the population density, by state, for each corresponding year (1991, 2006). The population density was calculated by dividing the states total population by the are of its landmass in m².

245.0 (people per sq. km) in 2022. Population density is midyear population divided by land area in square kilometers.

Mauritius had the highest population density level in Africa as of 2023, with nearly *** inhabitants per square kilometer. The country has also one of the smallest territories on the continent, which contributes to the high density. As a matter of fact, the majority of African countries with the largest concentration of people per square kilometer have the smallest geographical area as well. The exception is Nigeria, which ranks among the largest territorial countries in Africa and is very densely populated at the same time. After all, Nigeria has also the largest population on the continent.

If you would like to view a straightforward comparison between the Population density (by State) of Nigeria as at 2006 and 2016, this is just for you.

This web app showcases a simple and at-a-glance comparison between the Population density of Nigeria in 2006 and 2016. It features side-by-side, two individual web apps that display the population density, by state, for each corresponding year (2006, 2016). The population density was calculated by dividing the states total population by the area of its landmass in m². Within the app, there are easy-to-use navigation tools that have been configured to help users better access its features. Examples of these include the zoom tool, Expand tool, synced pop-ups, legend and many more. Clicking on any state on either map enables its pop-up from which you can access that particular states population details. One wonderful feature of this app is that popups for the 2 maps are synced! This means that clicking on a state in one map to get its pop-up details, will effect the same in the second map. (How cool is that!) Don't hesitate to leave comment about your experience with this web app, as well as suggestions on what can be done to make it even better.Thank you!

Nigeria has the largest population in Africa. As of 2025, the country counted over 237.5 million individuals, whereas Ethiopia, which ranked second, has around 135.5 million inhabitants. Egypt registered the largest population in North Africa, reaching nearly 118.4 million people. In terms of inhabitants per square kilometer, Nigeria only ranked seventh, while Mauritius had the highest population density on the whole African continent in 2023. The fastest-growing world region Africa is the second most populous continent in the world, after Asia. Nevertheless, Africa records the highest growth rate worldwide, with figures rising by over two percent every year. In some countries, such as Chad, South Sudan, Somalia, and the Central African Republic, the population increase peaks at over 3.4 percent. With so many births, Africa is also the youngest continent in the world. However, this coincides with a low life expectancy. African cities on the rise The last decades have seen high urbanization rates in Asia, mainly in China and India. African cities are also growing at large rates. Indeed, the continent has three megacities and is expected to add four more by 2050. Furthermore, Africa's fastest-growing cities are forecast to be Bujumbura, in Burundi, and Zinder, Nigeria, by 2035.

This feature contain two layers, 1 depicts the up-to-date COVID-19 cases for Nigeria by states and the 2 shows population density of Nigeria by LGAs. These were superimposed on each other for easy comparison. Data sources include NCDC, WHO, and Africa Geoportal. The COVID-19 data is updated at least once per day, following NCDC update timeline. This layer is specifically designed for a COVID-19 monitoring dashboard found here. This layer is created and maintained by DR. NKEKI F. N. and his team (Eugene .A. Atakpiri and Akinde .N. Kolawole) to Support NCDC to fight against the spread of COVID-19 in Nigeria. This layer is opened to the public and free to share. Contact Info: Phone: +23408063131159Email: nkekifndidi@gmail.com Phone: +2348117643525

Email: nkekifndidi@gmail.com Phone: +2348117643525

Email: nkekifndidi@gmail.com

Phone: +2348117643525

Email: nkekifndidi@gmail.com

VERSION 1.5. The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Nigeria: (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).

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

This feature contain 2 data layers: 1 depicts the up-to-date COVID-19 cases for Nigeria by states and the 2 shows population density of Nigeria by Local Government Areas; and these were superimposed on each other for easy comparison. These datasets constitute this well presented COVID-19 dashboard for monitoring Nigeria cases and specifically designed for mobile phone and related devices. Data sources include NCDC, WHO, and Africa Geoportal. The COVID-19 data is updated at least once per day, following NCDC update timeline. This layer is created and maintained by DR. NKEKI F. N. and his team (Eugene .A. Atakpiri and Akinde .N. Kolawole) to Support NCDC to fight against the spread of COVID-19 in Nigeria. This layer is opened to the public and free to share. Contact Info: Phone: +23408063131159Email: nkekifndidi@gmail.com

Density of nursing and midwifery personnel of Nigeria jumped by 7.54% from 1.6 number per thousand population in 2021 to 1.7 number per thousand population in 2022. Since the 47.17% drop in 2018, density of nursing and midwifery personnel shot up by 84.03% in 2022.

Comprehensive socio-economic dataset for Nigeria 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.