Japan: Population density, people per square km: The latest value from 2021 is 345 people per square km, a decline from 346 people per square km in 2020. In comparison, the world average is 456 people per square km, based on data from 196 countries. Historically, the average for Japan from 1961 to 2021 is 325 people per square km. The minimum value, 256 people per square km, was reached in 1961 while the maximum of 351 people per square km was recorded in 2004.

The population density in Japan stood at 343.28 people in 2022. Between 1961 and 2022, the population density rose by 86.79 people, though the increase followed an uneven trajectory rather than a consistent upward trend.

Population density (people per sq. km of land area) in Japan was reported at 343 sq. Km in 2022, according to the World Bank collection of development indicators, compiled from officially recognized sources. Japan - Population density (people per sq. km) - actual values, historical data, forecasts and projections were sourced from the World Bank on September of 2025.

Japan JP: Population Density: People per Square Km data was reported at 347.778 Person/sq km in 2017. This records a decrease from the previous number of 348.350 Person/sq km for 2016. Japan JP: Population Density: People per Square Km data is updated yearly, averaging 337.674 Person/sq km from Dec 1961 (Median) to 2017, with 57 observations. The data reached an all-time high of 351.339 Person/sq km in 2008 and a record low of 258.912 Person/sq km in 1961. Japan JP: 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 Japan – Table JP.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;

In 2020, the population of Tokyo Metropolis amounted to over ***** inhabitants per square kilometer. The number increased from approximately ***** inhabitants per square kilometer in 2000.

Japan JP: Population Density: Inhabitants per sq km data was reported at 342.790 Person in 2022. This records a decrease from the previous number of 344.310 Person for 2021. Japan JP: Population Density: Inhabitants per sq km data is updated yearly, averaging 348.220 Person from Dec 1990 (Median) to 2022, with 33 observations. The data reached an all-time high of 351.400 Person in 2008 and a record low of 339.030 Person in 1990. Japan JP: 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 Japan – Table JP.OECD.GGI: Social: Demography: OECD Member: Annual.

This map shows population density in Japan in 2015, by Country, Prefecture, Municipality, and Block. Population density is shown by people per square kilometer. The national average population density of Japan is 337 people per square kilometer.The pop-up is configured to show the following information at each geography level:Population densityTotal populationTotal householdsPopulation counts by age groupsPopulation counts by genderThe source of this data is Esri Japan. The vintage is 2015.Additional Esri Resources:Esri DemographicsPermitted use of this data is covered in the DATA section of the Esri Master Agreement (E204CW) and these supplemental terms.

The statistic presents the population density in the Greater Tokyo Area in Japan from 1985 to 2015. In 1985, Greater Tokyo's population amounted to ***** inhabitants per square kilometer. This number increased to almost ***** inhabitants per square kilometer in 2015.

In the past decade, Japan’s degree of urbanization has leveled off at around 92.04 percent. This means that less than 10 percent of Japan’s population of 126 million inhabitants do not live in an urban setting. Japan is well above the degree of urbanization worldwide, which is 55 percent. Japan is also known for its high population density: In 2017, it amounted to an eye-watering 347.78 inhabitants per square kilometer - however, it is not even among the top twenty countries with the highest population density worldwide. That ranking is lead by Monaco, followed by China, and Singapore. Japan’s aging population The main demographic challenge that Japan currently faces is an aging population, as the number of inhabitants over 65 years old is an increasing percentage of the population. As of 2018, Japan is the country with the largest percentage of total population over 65 years, and life expectancy at birth there is about 84 years. Simultaneously, the birth rate in Japan is declining, resulting in negative population growth in recent years. One method Japan is using to address these demographic shifts is by investing in automated work processes; it's one of the top countries interested in collaborative robots.

JP：人口密度：每平方公里人口在12-01-2017达347.778Person/sq km，相较于12-01-2016的348.350Person/sq km有所下降。JP：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337.674Person/sq km，共57份观测结果。该数据的历史最高值出现于12-01-2008，达351.339Person/sq km，而历史最低值则出现于12-01-1961，为258.912Person/sq km。CEIC提供的JP：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日本 – 表 JP.世行.WDI：人口和城市化进程统计。

Estimation of the population size is essential for understanding population dynamics. Estimating animal density using multiple methods and/or multiple attempts is required for accurate estimations. Raccoon dog (Nyctereutes procyonoides) is native to East Asia, including Japan, and has become an invasive species in Europe. Information on raccoon dog density in their native range is important to understand their invasion; however, relatively few studies have been conducted on raccoon dog density in their native range. In this study, we extracted DNA from fecal samples of raccoon dogs inhabiting a small island in Japan and conducted density estimation over two periods using DNA capture-recapture methods: CAPWIRE and SECR. We also investigated sex ratio using genetic sex identification. Density estimates using SECR were approximately threefold different between the two study periods: 17.2 individuals per km2 in 2018 and 49.0 individuals per km2 in 2020. In contrast, estimates using CAP...

Detailed methods can be found in the publication, and highlights are provided below. The following original data sources were aggregated/disaggregated to a common hexagonal grid (cell size 290 km2, mean internode spacing 18.3 km): Gridded Livestock of the World (GLW 2), doi:10.1371/journal.pone.0096084, reporting year 2006, resolution 3 arcminutes (~5 km2 at equator); Gridded Population of the World (GPWv4), doi:10.7927/H4HX19NJ, reporting year 2010, resolution 30 arcseconds (~1 km at equator); GlobCover 2009, doi:10.1594/PANGAEA.787668, reporting year 2009, resolution 300m; FAOSTAT Fertilizers by Nutrient dataset (downloaded on 26 Feb 2018), http://www.fao.org/faostat/en/#data/RFN/metadata, reporting years 2002-2014, resolution national. ---Subnational methods and calculations Livestock densities, human population density, and cropland extent were summarized for each grid cell in a global hexagonal grid. This grid had consistent grid cell areas across latitudes, and was generated using the dggrid package (Barnes, 2016; Sahr, 2011) in the platform R (R Core Team, 2016). In the finer hexagonal grid, each grid cell had a mean area of 290 km2 and a mean internode spacing of 18.3 km. In the coarser grid, each grid cell had a mean side length of 95 km (mean hexagon area of 23,300 km2, mean internode spacing of 165 km), which was large enough to encompass megacities such as London and Paris along with peri-urban areas, but small enough to maintain subnational resolution in relatively small nations. For a minority of hexagonal grid cells, slight deviations in the dimensions were mathematically necessary to avoid overlapping cells and gaps over the world's surface (Barnes, 2016). Total manure P production in each grid cell was calculated by summing the contributions from each animal type, using animal-specific and nation-specific P excretion factors from Bouwman et al. (2017). For cattle we used 16.6 kg P per head yr-1 in Canada, USA, and Japan, 13.1 kg P per head yr-1 in the other OECD countries, and 8.75 kg P per head yr-1 in the remaining countries (Bouwman et al. 2017). For other animals we used 1.8 kg P per head yr-1 for pigs, 0.1 kg P per head yr-1 for chickens, 1.5 kg P per head yr-1 for sheep and goats for all countries (Bouwman et al. 2017). Cells with zero cropland extent were excluded from the analysis (and thus also gridcelldata.csv). --National methods and calculations We used nation-level P fertilizer data from FAOSTAT including import, export, agricultural use, and production for the most recent available years (2002-2014). FAOSTAT data were downloaded on 26 Feb 2018. Fertilizer data are reported annually, and we took the nation-specific means for each budgetary term over two different five year intervals (2010-2014, 2002-2006); these years deliberately exclude the global food crisis of 2007/2008 when the global phosphate rock price spiked by 400% (Chowdhury et al., 2017). A small number of countries had data gap years, requiring that the mean be calculated over fewer years. Import ratios, an indicator of fertilizer P import dependency, were calculated as net import : consumption, where net import = import - export. Recent fertilizer P consumption trends were summarized by calculating a consumption ratio of the 2010s to 2000s (2010-2014:2002-2006). Calculations involving P import ratios and consumption trends were conducted directly on FAO data, prior to disaggregation within the global grid. In cases where grid cells overlapped multiple countries, the nation representing the largest share of the grid cell was assigned to the whole cell using administrative data from Natural Earth. A minority of nations lacked P import or P consumption data and were excluded from P import ratio calculations. Nations that lacked P export data were assumed to have zero gross P export in these calculations. Attributes of the two compiled subnational datasets: "gridcelldata_fine.csv" and "gridcelldata_coarse.csv" (each row represents one hexagonal grid cell) nation: Name of the nation that possessed the largest share of the grid cell. lat: Decimal latitude of the grid cell centroid. lon: Decimal longitude of the grid cell centroid. crop_pct: Mean percent of land as cropland (i.e., cropland extent) within the grid cell. For coastal grid cells, only the land portion of the cell was used in this calculation. popd_indperkm2: Mean population density of the grid cell. manurep_kgperkm2: Calculated manure P production of the grid cell. This is the sum across multiple animal types using animal-specific, nation-specific P excretion factors from Bouwman et al. 2017. cattle_indperkm2: Mean cattle density of the grid cell. pigs_indperkm2: Mean pig density of the grid cell. chickens_indperkm2: Mean chicken density of the grid cell. sheep_indperkm2: Mean sheep density of the grid cell. goats_indperkm2: Mean goat density of the grid cell. pfertnatcons10s_metrictons: Mean nation-level P fertilizer consumption (P2O5 total nutrients) for years 2010-2014, for the nation that possessed the largest share of the grid cell. Calculated from FAOSTAT. pfertnatimp_metrictons: Mean nation-level P fertilizer import (P2O5 total nutrients) for years 2010-2014, for the nation that possessed the largest share of the grid cell. Calculated from FAOSTAT.pfertnatout_metrictons: Mean nation-level P fertilizer export (P2O5 total nutrients) for years 2010-2014, for the nation that possessed the largest share of the grid cell. Calculated from FAOSTAT. pfertnatnetimpratio_unitless: Nation-level net fertilizer P import ratios ([import-export]/consumption) for years 2010-2014, for the nation that possessed the largest share of the grid cell. Calculated from FAOSTAT. pfertnatcons00s_metrictons: Mean nation-level P fertilizer consumption (P2O5 total nutrients) for years 2002-2006, for the nation that possessed the largest share of the grid cell. Calculated from FAOSTAT. pfertnatconstr_unitless: Nation-level P fertilizer consumption trend, for the nation that possessed the largest share of the grid cell. This is the ratio of 2010s:2000s (that is, mean of 2010-2014 divided by mean of 2002-2006). Calculated from FAOSTAT.

In 2015, Czechia had the highest rail network density of any country, coming in at ****** meters of track per square kilometer. The density of a county’s rail network is a function not only of the amount of track laid, but also the country’s geographic size.

Freight and passenger rail

Included here is track used for both passenger and freight rail. The volume of freight rail is higher than the volume of passenger rail in all regions, but by widely varying margins. In some cases the difference is massive, such as in North America where freight volumes are approaching 100 times higher than passenger volumes. Conversely, in Europe the difference in volumes is only around ** percent.

Overall rail network size

Rail network density is not a measure of the overall size and composition of a country’s rail network. For example, the large populations and high level of urban rail found in the Asia Pacific region means that China, India and Japan combined account for around three quarters of global passenger rail traffic, even though none are in the top five for rail network density. Similarly, Russia has a higher freight rail volume than the United States despite having a much lower track density.