The population density in Morocco was 83.64 people in 2022. In a steady upward trend, the population density rose by 56.91 people from 1961.

Population density (people per sq. km of land area) in Morocco was reported at 83.64 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Morocco - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

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

Morocco MA: Population Density: People per Square Km data was reported at 80.080 Person/sq km in 2017. This records an increase from the previous number of 79.043 Person/sq km for 2016. Morocco MA: Population Density: People per Square Km data is updated yearly, averaging 54.719 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 80.080 Person/sq km in 2017 and a record low of 28.477 Person/sq km in 1961. Morocco MA: 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 Morocco – Table MA.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 data was reported at 49.000 Person/sq km in 2016. This records an increase from the previous number of 48.000 Person/sq km for 2015. Population Density data is updated yearly, averaging 39.000 Person/sq km from Dec 1960 (Median) to 2016, with 47 observations. The data reached an all-time high of 49.000 Person/sq km in 2016 and a record low of 25.000 Person/sq km in 1960. Population Density data remains active status in CEIC and is reported by High Commission for Planning. The data is categorized under Global Database’s Morocco – Table MA.G004: Population Density.

Population density of Morocco went up by 1.01% from 82.8 people per sq. km in 2021 to 83.6 people per sq. km in 2022. Since the 1.34% improve in 2012, population density jumped by 11.91% in 2022. Population density is midyear population divided by land area in square kilometers.

Comprehensive socio-economic dataset for Morocco 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.

Morocco MA: Population Density: Inhabitants per sq km data was reported at 83.640 Person in 2022. This records an increase from the previous number of 82.800 Person for 2021. Morocco MA: Population Density: Inhabitants per sq km data is updated yearly, averaging 68.950 Person from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 83.640 Person in 2022 and a record low of 54.620 Person in 1990. Morocco MA: 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 Morocco – Table MA.OECD.GGI: Social: Demography: Non OECD Member: Annual.

Density of nursing and midwifery personnel of Morocco rocketed by 47.66% from 0.9 number per thousand population in 2014 to 1.4 number per thousand population in 2017. Since the 14.44% surge in 2009, density of nursing and midwifery personnel shot up by 50.05% in 2017.

Abstract

Digitalization plays a vital role in the firms' performance. In order to assess the effect of digitalization on enterprises, reliable data is imperative, and the need to resort to a dynamic data collection tool at a time when countries in the region are in a state of flux cannot be overstated. The Economic Research Forum (ERF) led The Survey of Enterprises' Digitization to provide data for researchers and policy makers on the impact of digitalization on enterprises' performance. The Survey of Enterprises' Digitization is conducted over two phases in each of the following countries: Jordan, Morocco, and Egypt. The survey covers access to, usage of, and affordability of internet, and/or mobile services, online payments, access to e-commerce platform, measures of transport infrastructure (e.g. road density, logistic performance), measures of human capital (e.g. share of skilled labor or education level of workers), and other key regional characteristics (e.g. population density, income level, urbanization rate...). The main questions to be answered through this survey are: What are the effects of the affordability of high-speed internet and online payment on firm-level productivity and employment? How does the impact of digitalization vary across characterized firms and across the counties of study? The Survey of Enterprises' Digitization in Morocco is a wide-ranging, nationally representative cross-sectional survey. The collection of this dataset began in April 2022 and the phase two was completed August 2022, and was harmonized by the Economic Research Forum (ERF). The harmonization was designed to create comparable data that can facilitate cross-country and comparative research between three Arab countries (Morocco, Egypt, and Jordan). All The Survey of Enterprises' Digitization in MENA region surveys incorporate similar survey designs, with data on enterprises within Arab countries (Egypt, Jordan, and Morocco).

Geographic coverage

National

Analysis unit

Enterprises

Universe

The target population of the surveys was Enterprises of all sizes that started business operations before 2022.

Kind of data

Sample Survey Data [ssd]

Sampling procedure

Samples were designed to represent E-firms and non-E-firms. E-firms were defined as businesses that used the internet during the last month before the interview date to conduct transactions, such as buying and/or selling of goods or services. Samples were designed to complete 250 interviews with E-firms and 500 interviews with non-E-firms in Morocco. Since no data were available about the proportion of E-firms in any of the study countries, a two-phase sampling design was used. Data from the first phase was used to guide the sampling procedures in the second phase so the target sample size is achieved, especially for E-firms. Yellow Pages (Télécontact) is used as a sampling frame for Morocco. A stratified sample of 9,099 businesses were selected in Phase 1. The sample was stratified according to three main geographic regions of Morocco, Casa-Rabat, North, and South. The sample of Phase 1 composed of two samples: main sample of 4,388 businesses and a supplement sample of 4,711 businesses. In the two samples, 158 pages were selected for each sample, and 28-30 businesses were contacted from each page. In Phase 2, a stratified sample of 25,120 businesses were selected in two stages, where 314 pages were selected in the first stage, and about 80 businesses were contacted per each selected page.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

The enterprise questionnaire is carried out to understand the impact of digitalization on the productivity of the firm. It includes enterprise's characteristics, questions on access to and usage of Internet to identify e-firms, disruptions to supply chains (for inputs and outputs), online transactions, employment, and firm's productivity.

Note: The questionnaire can be seen in the documentation materials tab.

MA：人口密度：每平方公里人口在12-01-2017达80.080Person/sq km，相较于12-01-2016的79.043Person/sq km有所增长。MA：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54.719Person/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80.080Person/sq km，而历史最低值则出现于12-01-1961，为28.477Person/sq km。CEIC提供的MA：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Global Database的摩洛哥 – 表 MA.世界银行：人口和城市化进程统计。

The Africa CCVI was created by Surgo Ventures, with support from the UKAID Department for International Development (DFID)’s Frontier Technologies Hub. The index informs COVID-19 planning and response, especially among Africa’s most vulnerable regions—those that will struggle to weather a COVID-19 outbreak and its health, economic and social impacts without support. The index assesses seven kinds of vulnerability for 756 regions in 48 countries. The overall index (CCVI) is made up of seven themes: age; epidemiological factors; fragility; strength of health systems; population density; socioeconomic factors; and access to transportation and housing. For more information, please visit precisionforcovid.org/africa.

This feature contain several 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; 3 is a map of the statistically significant population hot spot and cold spot in Nigeria. All these datasets constitute this well presented COVID-19 dashboard for monitoring Nigeria cases. 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

Abstract

Digitalization plays a vital role in the firms' performance. In order to assess the effect of digitalization on enterprises, reliable data is imperative, and the need to resort to a dynamic data collection tool at a time when countries in the region are in a state of flux cannot be overstated. The Economic Research Forum (ERF) led The Survey of Enterprises' Digitization to provide data for researchers and policy makers on the impact of digitalization on enterprises' performance. The Survey of Enterprises' Digitization is conducted over two phases in each of the following countries: Jordan, Morocco, and Egypt. The survey covers access to, usage of, and affordability of internet, and/or mobile services, online payments, access to e-commerce platform, measures of transport infrastructure (e.g. road density, logistic performance), measures of human capital (e.g. share of skilled labor or education level of workers), and other key regional characteristics (e.g. population density, income level, urbanization rate...). The main questions to be answered through this survey are: What are the effects of the affordability of high-speed internet and online payment on firm-level productivity and employment? How does the impact of digitalization vary across characterized firms and across the counties of study? The Survey of Enterprises' Digitization is a wide-ranging, nationally representative cross-sectional survey for each country. The collection of this dataset began in April 2022 and phase two was completed in August 2022, and was harmonized by the Economic Research Forum (ERF). The harmonization was designed to create comparable data that can facilitate cross-country and comparative research between three Arab countries (Morocco, Egypt, and Jordan). All The Survey of Enterprises' Digitization in MENA region surveys incorporate similar survey designs, with data on enterprises within Arab countries (Egypt, Jordan, and Morocco).

Geographic coverage

National

Analysis unit

Enterprises

Universe

The target population of the surveys was Enterprises of all sizes that started business operations before 2022.

Kind of data

Sample Survey Data [ssd]

Sampling procedure

Samples were designed to represent E-firms and non-E-firms. E-firms were defined as businesses that used the internet during the last month before the interview date to conduct transactions, such as buying and/or selling of goods or services. Samples were designed to complete 250 interviews with E-firms and 500 interviews with non-E-firms. Since no data were available about the proportion of E-firms in any of the study countries, a two-phase sampling design were used. Data from the first phase was used to guide the sampling procedures in the second phase to achieve the target sample size, especially for E-firms.

For Egypt: a systematic sample of 9,087 businesses were selected in Phase 1. To align the sample distribution across business sectors with the distribution in the frame distribution, the selection was done after sorting the frame according to the business sectors. The sample of Phase 1 composed of two samples: main sample of 5,066 businesses and a supplement sample of 4,021 businesses. Businesses with website available on Yellow Pages (YP) were oversampled to increase the chance of finding E-firms. This has been accounted for during the weight calculation to retrieve the actual distribution in YP frame. In Phase 2, a systematic sample of 18,901 businesses were selected from businesses with website available on Yellow Pages.

For Jordan: a stratified sample of 3,134 businesses were selected in Phase 1. The sample was stratified according to 17 business sectors. The sample was selected in two stages; in the first stage, 316 pages were selected from the Kinz website, where the selected pages were proportionally distributed to the distribution of all pages by business sector. In the second stage, all businesses in selected pages were contacted. In average, there are 10 businesses per page. In Phase 2, a stratified sample of 3,160 businesses were selected using the same approach used in Phase 1.

For Morocco: a stratified sample of 9,099 businesses were selected in Phase 1. The sample was stratified according to three main geographic regions of Morocco, Casa-Rabat, North, and South. The sample of Phase 1 composed of two samples: main sample of 4,388 businesses and a supplement sample of 4,711 businesses. In the two samples, 158 pages were selected for each sample, and 28-30 businesses were contacted from each page. In Phase 2, a stratified sample of 25,120 businesses were selected in two stages, where 314 pages were selected in the first stage, and about 80 businesses were contacted per each selected page.

Mode of data collection

Computer Assisted Telephone Interview [cati]

Research instrument

The enterprise questionnaire is carried out to understand the impact of digitalization on the productivity of the firm. It includes enterprise's characteristics, questions on access to and usage of Internet to identify e-firms, disruptions to supply chains (for inputs and outputs), online transactions, employment, and firm's productivity.

Note: The questionnaire can be seen in the documentation materials tab.

モロッコの人口密度を国土面積と総人口から算出し最新の推移グラフや日本との比較表、世界人口密度ランキング(狭い)等を用い、人口密度が低いのか高いのかを説明しています。各種データはcsv出力・ダウンロードも可能です。（EXCELでも使用可能）元データのソースはworldbank.orgで、当サイト(GraphToChart)が独自に計算・算出し全て無料で利用可能ですので、研究や分析レポートにお役立て頂ければ幸いです。