Chart and table of Belarus population density from 1950 to 2025. United Nations projections are also included through the year 2100.

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

Belarus population density for 400m H3 hexagons.

Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution.

Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.

This dataset contains data on number of population in Vilnius Province (within the current borders Belarus and Lithuania) on the basis of the results of the first general population census of the Russian Empire, which was carried out in 1897.

Belarus administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata.
Global version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population

45,5 (personas por km2 de superficie de tierra) in 2022. Population density is midyear population divided by land area in square kilometers.

Chart and table of DT.NFL.NIFC.CD population density from 1950 to 2025. United Nations projections are also included through the year 2100.

人口密度：每平方公里人口在12-01-2021达45.837Person/sq km，相较于12-01-2020的46.211Person/sq km有所下降。人口密度：每平方公里人口数据按年更新，12-01-1992至12-01-2021期间平均值为47.229Person/sq km，共30份观测结果。该数据的历史最高值出现于12-01-1993，达50.466Person/sq km，而历史最低值则出现于12-01-2021，为45.837Person/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白俄罗斯 – Table BY.World Bank.WDI: Population and Urbanization Statistics。

The Eurasian lynx is a large carnivore widely distributed across Eurasia. However, our understanding of population status is heterogeneous across their range, with some populations isolated that are at risk of reduced genetic variation and a complete lack of information about others. In many European countries, Eurasian lynx are monitored through demographic studies crucial for their conservation and management. Even so, there are only rough and fragmented population assessments from Ukraine and Belarus, despite strict protection in both countries and their importance for lynx connectivity across Europe. We monitored lynx from October 2020 to March 2021 and used camera-trapping in combination with spatial capture-recapture (SCR) methods in a Bayesian Framework to provide the first SCR density estimation of three lynx populations across Ukraine and Belarus, including the Ukrainian Chornobyl Exclusion Zone, Southern Belarus, and the Ukrainian Carpathians. Our density estimates varied within our study areas ranging from 0.45 to 1.54 individuals/100 km². This work provides a substantial scientific component to the overall understanding of lynx conservation for a region where only broad information is available and opens the doors for further large-scale monitoring and trend assessments. The crucial information we provide can greatly enhance the range-wide assessments of the status of this protected species. We also discuss the implications for Eurasian lynx conservation, despite the geopolitical realities impacting species monitoring in the region. Our work serves as a baseline, not only for future conservation interventions but also to evaluate the effects of disturbance and threats to these protected populations.

4.5 (number per thousand population) in 2020.

In 2023, the share of urban population in Moldova remained nearly unchanged at around 43.37 percent. Nevertheless, 2023 still represents a peak in the share in Moldova. A population may be defined as urban depending on the size (population or area) or population density of the village, town, or city. The urbanization rate then refers to the share of the total population who live in an urban setting. International comparisons may be inconsistent due to differing parameters for what constitutes an urban center.Find more key insights for the share of urban population in countries like Ukraine and Belarus.