Want to live somewhere quiet? Then the Brussels-Capital Region maybe would not be the place for you. In a country where the population density was highly depended on the region, the Brussels-Capital Region far exceeded the others in terms of residents per square kilometer. Whereas in Brussels over 7,500 people lived per a square kilometer, in the Walloon Region this was only 276. In total, roughly 1.22 million inhabitants lived in the Brussels-Capital Region in 2022.

 Flemish Region has the highest number of inhabitants  

Although the Brussels-Capital Region had the highest population density, it was by no means Belgium’s region with the largest number of inhabitants. On the contrary: both the Flemish and the Walloon Regions had more inhabitants than the Brussels Region. In total, just over ten percent of Belgium’s population lived in Brussels, the rest was divided among Flanders (58 percent) and Wallonia (32 percent).

 Comparison to the other Benelux countries   

Belgium’s population density amounted to 375 inhabitants per square kilometer in 2021. This was significantly lower than the population density in neighboring country the Netherlands, where on average 519 inhabitants lived on a square kilometer. It was however higher than Luxembourg’s population density, which amounted to about 245 inhabitants per square kilometer. This was the lowest population density of all three Benelux countries.

Belgium BE: Population Density: People per Square Km data was reported at 383.033 Person/sq km in 2022. This records an increase from the previous number of 379.950 Person/sq km for 2021. Belgium BE: Population Density: People per Square Km data is updated yearly, averaging 363.903 Person/sq km from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 383.033 Person/sq km in 2022 and a record low of 337.957 Person/sq km in 2000. Belgium BE: 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 Belgium – Table BE.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;

Population density (people per sq. km of land area) in Belgium was reported at 383 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Belgium - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Belgium: 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 Belgium 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 .

Belgium BE: Population Density: Inhabitants per sq km data was reported at 381.740 Person in 2022. This records an increase from the previous number of 378.850 Person for 2021. Belgium BE: Population Density: Inhabitants per sq km data is updated yearly, averaging 362.430 Person from Dec 2000 (Median) to 2022, with 23 observations. The data reached an all-time high of 381.740 Person in 2022 and a record low of 337.960 Person in 2000. Belgium BE: 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 Belgium – Table BE.OECD.GGI: Social: Demography: OECD Member: Annual.

In 2023, the population of Belgium numbered around 11.7 million. Most of these inhabitants lived in the Dutch-speaking Flemish Region, which was home to nearly half of Belgium’s population. The Walloon Region, broadly in line with the French-speaking part of Belgium, numbered roughly 3.68 million inhabitants, and another 1.24 million lived in Brussels and the surrounding areas (which are bilingual).  

 Population density by region 

Despite having the lowest number of inhabitants, the Brussels-Capital Region had the highest population density, at nearly 7,400 inhabitants per square kilometer in 2017. By comparison, this was less than 500 inhabitants in Flanders and just 214 in Wallonia.  

GDP per region  

Wallonia was not just the region with the lowest number of inhabitants per square kilometer, it also had the lowest GDP per capita. In 2019, the most recent available year, GDP per capita reached 30,236 euros in this region. In contrast, GDP per capita was nearly 2.5 times as high in Brussels, at 71,412 euros per capita.

Comprehensive socio-economic dataset for Belgium 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.

Population density 2017 (inhabitants per km²) Territorial entities: arrondissements (Wallonie), zones d'emploi (Lorraine), cantons (Luxembourg), Kreise (Saarland, Rheinland-Pfalz) Statistical data sources: INSEE Grand Est; DG Statistique - Statistics Belgium; Eurostat; STATEC. Harmonization: IBA / OIE 2018 Geodata sources: GeoBasis-DE / BKG 2017; IGN France 2017; NGI-Belgium 2017; ACT Luxembourg 2017. Harmonization: SIG-GR / GIS-GR 2018

• Population density 2017 (inhabitants per km²), Lorraine: 2015 - Territorial entities: arrondissements (Wallonie), zones d'emploi (Lorraine), cantons (Luxembourg), Kreise (Saarland, Rheinland-Pfalz) - Statistical data sources: INSEE Grand Est; DG Statistique - Statistics Belgium; Eurostat; STATEC. Harmonization: IBA / OIE 2018 - Geodata sources: GeoBasis-DE / BKG 2017; IGN France 2017; NGI-Belgium 2017; ACT Luxembourg 2017. Harmonization: SIG-GR / GIS-GR 2018

Population density 2019 (inhabitants per km²), Lorraine: 2017 Territorial entities: arrondissements (Wallonie), zones d'emploi (Lorraine), cantons (Luxembourg), Kreise (Saarland, Rheinland-Pfalz) Statistical data sources: Destatis, Eurostat, INSEE, Statbel, STATEC. Harmonization: IBA / OIE 2020 Geodata sources: GeoBasis-DE / BKG 2017, IGN France 2017, NGI-Belgium 2017, ACT Luxembourg 2017. Harmonization: SIG-GR / GIS-GR 2020

Brussels population and density by municipalities 2013Population et densité de Bruxelles par communes 2013 Brusselse bevolking en dichtheid per gemeenten 2013Source - Bron

IntroductionCOVID-19 remains a major concern globally. Therefore, it is important to evaluate COVID-19's rapidly changing trends. The fractal dimension has been proposed as a viable method to characterize COVID-19 curves since epidemic data is often subject to considerable heterogeneity. In this study, we aim to investigate the association between various socio-demographic factors and the complexity of the COVID-19 curve as quantified through its fractal dimension.MethodsWe collected population indicators data (ethnic composition, socioeconomic status, number of inhabitants, population density, the older adult population proportion, vaccination rate, satisfaction, and trust in the government) at the level of the statistical sector in Belgium. We compared these data with fractal dimension indicators of COVID-19 incidence between 1 January – 31 December 2021 using canonical correlation analysis.ResultsOur results showed that these population indicators have a significant association with COVID-19 incidences, with the highest explanatory and predictive power coming from the number of inhabitants, population density, and ethnic composition.ConclusionIt is important to monitor these population indicators during a pandemic, especially when dealing with targeted interventions for a specific population.

This layer represents the density of population of Belgium, by regions, provinces, districts and municipalities.The population data comes from the Belgian population offical figures of 1st January 2011Last update: 10/10/2013SourceCette couche représente la densité de population de la Belgique, par région, province, arrondissement et commune. Les données sur la population proviennent des chiffres officiels de la population belge de droit au 1er janvier 2011. Dernière mise à jour: 10/10/2013SourceBron

This layer represents the density of population of Belgium, by regions, provinces, districts and municipalities.The population data comes from the Belgian population offical figures of 1st January 2011Last update: 10/10/2013SourceCette couche représente la densité de population de la Belgique, par région, province, arrondissement et commune. Les données sur la population proviennent des chiffres officiels de la population belge de droit au 1er janvier 2011. Dernière mise à jour: 10/10/2013SourceBron

This Web Map represents the density of population of Belgium, by regions, provinces, districts and municipalities.The population data comes from the Belgian population offical figures of 1st January 2011Last update: 10/10/2013SourceCe Web Map représent la densité de population de la Belgique, par régions, provinces, arrondissements et communes. Les données sur la population proviennent des chiffres officiels de la population belge de droit au 1er janvier 2011. Dernière mise à jour: 10/10/2013SourceBron

人口密度：每平方公里的居民在12-01-2022达381.740人，相较于12-01-2021的378.850人有所增长。人口密度：每平方公里的居民数据按年更新，12-01-2000至12-01-2022期间平均值为362.430人，共23份观测结果。该数据的历史最高值出现于12-01-2022，达381.740人，而历史最低值则出现于12-01-2000，为337.960人。CEIC提供的人口密度：每平方公里的居民数据处于定期更新的状态，数据来源于Organisation for Economic Co-operation and Development，数据归类于全球数据库的比利时 – Table BE.OECD.GGI: Social: Demography: OECD Member: Annual。

This statistic shows the life insurance density (premiums to population) in the Benelux countries (Belgium, Luxembourg and the Netherlands) from 2004 to 2020 (in euros). Of the Benelux countries, Luxembourg had the highest life insurance premiums to population in 2020. Insurance density is a measure to gauge a country's insurance market, specifically the gross premiums paid in relation to the inhabitants of the measured country.

As of 2020, the distribution channel responsible for the largest amount of nominal sales on the domestic life insurance market in Luxembourg was direct sales with nearly ** million euros worth of sales. On the international market, exchange brokers other than banks in 2020 sold almost *** billion euros worth of Luxembourgish life insurances.

In the most recent Global Financial Centers Index, Luxembourg was ranked as having the tenth-most competitive financial center in Europe. In recent years, the Grand Duchy made efforts to diversify its financial activities in certain niches such as Chinese and Islamic finance, together with FinTech. Luxembourg's three traditional strengths, however, involve its activities in investment funds, banking and insurance.

532,9 (inhabitants per sq. km) in 2016.

人口密度：每平方公里人口在12-01-2022达383.033Person/sq km，相较于12-01-2021的379.950Person/sq km有所增长。人口密度：每平方公里人口数据按年更新，12-01-2000至12-01-2022期间平均值为363.903Person/sq km，共23份观测结果。该数据的历史最高值出现于12-01-2022，达383.033Person/sq km，而历史最低值则出现于12-01-2000，为337.957Person/sq km。CEIC提供的人口密度：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比利时 – Table BE.World Bank.WDI: Population and Urbanization Statistics。

This dataset contains information about the descriptive representation of immigrant-origin citizens at the 2018 local elections in Flanders. It covers 31,176 candidates over 1,312 lists. For each candidate list, this dataset contains information about the percentage of immigrant-origin candidates, their average relative list position and the proportion of elected immigrant-origin candidates. Extra variables are added at the party level (e.g. whether it was part of the local government prior to the 2018 local elections or whether the head of list had an immigrant background) and municipality level (e.g. population density or percentage of the immigrant-origin population) to allow a profound examination of which factors steer the descriptive representation of immigrant-origin citizens.

The updated version also includes information about the gendered selection of the immigrant-origin candidates. During this additional coding process, I discovered some small coding errors included in the original version. These errors are corrected in the updated version.