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.

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 342 sq. Km in 2023, 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 October of 2025.

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

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.

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

View yearly updates and historical trends for Japan Population Density. Source: World Bank. Track economic data with YCharts analytics.

WorldPop produces different types of gridded population count datasets, depending on the methods used and end application. Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.

Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator)

-Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area. These are produced using the unconstrained top-down modelling method.
-Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel, adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area. These are produced using the unconstrained top-down modelling method.

Data for earlier dates is available directly from WorldPop.

WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00674

The population of the world, allocated to 1 arcsecond blocks. This refines CIESIN’s Gridded Population of the World project, using machine learning models on high-resolution worldwide Digital Globe satellite imagery.

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.

Population density of Japan slipped by 0.44% from 344.8 people per sq. km in 2021 to 343.3 people per sq. km in 2022. Since the 0.16% downward trend in 2012, population density declined by 1.96% in 2022. Population density is midyear population divided by land area in square kilometers.

Dataset

This dataset was created by leeDataWhiz

Released under Attribution 4.0 International (CC BY 4.0)

Contents

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.

DATASET: Alpha version 2000 and 2010 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and MODIS-derived urban extent change built in. REGION: Asia 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 on the website and in: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM00urbchg.tif = Vietnam (VNM) population count map for 2000 (00) adjusted to match UN national estimates and incorporating urban extent and urban population estimates for 2000. DATE OF PRODUCTION: July 2013 Dataset construction details and input data are provided here: www.asiapop.org and here: http://www.plosone.org/article/info:doi/10.1371/journal.pone.0055882

This dataset displays data from the 2005 Census of Japan. It displays population, population change, area, and population density of the 47 prefectures in Japan. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau

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: Asia 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: Gaughan AE, Stevens FR, Linard C, Jia P and Tatem AJ, 2013, High resolution population distribution maps for Southeast Asia in 2010 and 2015, PLoS ONE, 8(2): e55882 FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - VNM_popmap10adj_v2.tif = Vietnam (VNM) population count map for 2010 (popmap10) adjusted to match UN national estimates (adj), version 2 (v2). DATE OF PRODUCTION: January 2013

Total population and land area of eight Japanese regions.

Mosaiced 1km resolution global datasets. The methodology used to estimate the annual subnational census-based figures can be found in LLoyd et al (https://www. tandfonline.com/doi/full/10.1080/20964471.2019.1625151). The mapping approach is Random Forest-based dasymetric redistribution. More info at: www.worldpop.org.

This dataset shows percent population of Japanese ancestry, by county, in 1940. The values were calculated using the populations of Japanese descent, which were manually digitized from a report by the War Relocation Authority, and total county populations according to the 1940 census figures, obtained from the National Historical GIS. Featured in Justice Deferred.

Content

The data provides the population of Japan as collected by the official Japanese government from 1920 to 2015. It is given by year, prefecture, age range, and gender.

Inspiration

Can the data be used to answer questions such as the following?

• When and how did mass movement of population occurred from rural to urban areas?
• Which prefectures are rural? Which are urban?
• Were there gender and/or age differences in the movement of population?
• In what manner is the population shifting toward aged people?
• And much more.

Method of Editing and Translation

The following script written by the dataset owner was used:

import pandas as pd
import numpy as np
import re

japan_census = pd.read_csv('~/Downloads/c03.csv', encoding = 'SJIS')
# Eliminate a note
japan_census = japan_census.iloc[:-1]
# Eliminate the sums across prefectures
japan_census = japan_census[japan_census['年齢5歳階級'] != '総数']

def prefecture(japanese):
 return {
  '北海道': 'Hokkaido',
  '青森県': 'Aomori Prefecture',
  '岩手県': 'Iwate Prefecture',
  '宮城県': 'Miyagi Prefecture',
  '秋田県': 'Akita Prefecture',
  '山形県': 'Yamagata Prefecture',
  '福島県': 'Fukushima Prefecture',
  '茨城県': 'Ibaraki Prefecture',
  '栃木県': 'Tochigi Prefecture',
  '群馬県': 'Gunma Prefecture',
  '埼玉県': 'Saitama Prefecture',
  '千葉県': 'Chiba Prefecture',
  '東京都': 'Tokyo Metropolis',
  '神奈川県': 'Kanagawa Prefecture',
  '新潟県': 'Niigata Prefecture',
  '富山県': 'Toyama Prefecture',
  '石川県': 'Ishikawa Prefecture',
  '福井県': 'Fukui Prefecture',
  '山梨県': 'Yamanashi Prefecture',
  '長野県': 'Nagano Prefecture',
  '岐阜県': 'Gifu Prefecture',
  '静岡県': 'Shizuoka Prefecture',
  '愛知県': 'Aichi Prefecture',
  '三重県': 'Mie Prefecture',
  '滋賀県': 'Shiga Prefecture',
  '京都府': 'Kyoto Prefecture',
  '大阪府': 'Osaka Prefecture',
  '兵庫県': 'Hyogo Prefecture',
  '奈良県': 'Nara Prefecture',
  '和歌山県': 'Wakayama Prefecture',
  '鳥取県': 'Tottori Prefecture',
  '島根県': 'Shimane Prefecture',
  '岡山県': 'Okayama Prefecture',
  '広島県': 'Hiroshima Prefecture',
  '山口県': 'Yamaguchi Prefecture',
  '徳島県': 'Tokushima Prefecture',
  '香川県': 'Kagawa Prefecture',
  '愛媛県': 'Ehime Prefecture',
  '高知県': 'Kochi Prefecture',
  '福岡県': 'Fukui Prefecture',
  '佐賀県': 'Saga Prefecture',
  '長崎県': 'Nagasaki Prefecture',
  '熊本県': 'Kumamoto Prefecture',
  '大分県': 'Oita Prefecture',
  '宮崎県': 'Miyazaki Prefecture',
  '鹿児島県': 'Kagoshima Prefecture',
  '沖縄県': 'Okinawa Prefecture',
 }.get(japanese)

japan_census_translated = pd.DataFrame()
japan_census_translated['Year'] = japan_census['西暦（年）'].astype('int')
japan_census_translated['Prefecture'] = japan_census['都道府県名'].map(lambda x: prefecture(x))
japan_census_translated[['Age Lower Bound', 'Age Upper Bound']] = [
 [m.group(1), m.group(2)] for m in japan_census['年齢5歳階級'].map(lambda x: re.search('(\d+)\D+(\d+)?', x))
]
japan_census_translated = pd.DataFrame(
 np.repeat(japan_census_translated.values, 2, axis = 0),
 columns = japan_census_translated.columns
)
japan_census_translated[['Gender', 'Population']] = [
 x for _, row in japan_census.iterrows() for x in [
  ['Male', int(row.loc['人口（男）'])],
  ['Female', int(row.loc['人口（女）'])],
 ]
]
print(japan_census_translated)
japan_census_translated.to_csv('japanese_census.csv')