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.

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.

Japan data available from WorldPop here.

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).

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;

Dataset

This dataset was created by leeDataWhiz

Released under Attribution 4.0 International (CC BY 4.0)

Contents

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.

Japan 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

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

Constrained estimates, total number of people per grid-cell. The dataset is available to download in Geotiff format at a resolution of 3 arc (approximately 100m at the equator). The projection is Geographic Coordinate System, WGS84. The units are number of people per pixel. The mapping approach is Random Forest-based dasymetric redistribution.

More information can be found in the Release Statement

The difference between constrained and unconstrained is explained on this page: https://www.worldpop.org/methods/top_down_constrained_vs_unconstrained

dataplor specializes in delivering highly precise, actionable intelligence tailored for businesses operating within the complex Japanese market. Our in-depth Point of Interest and foot traffic dataset for Japan is a cornerstone for businesses seeking to optimize operations and expand their footprint across the country.

Unlocking Japan's Potential with dataplor's POI Data Third-party Logistics / Order Fulfillment: Leverage our dataset to optimize delivery routes, identify optimal warehouse locations in bustling cities like Tokyo, Osaka, and Nagoya, and enhance last-mile delivery efficiency in densely populated urban areas.

Consumer Product Goods (CPGs): Gain a competitive edge by identifying ideal store locations in high-traffic areas, understanding consumer preferences across different regions and optimizing product distribution strategies. Telecommunication: Identify areas with high smartphone penetration, analyze competitor tower locations, and optimize network coverage in major cities and rural prefectures.

Finance and Investment: Evaluate potential investment opportunities by analyzing POI density and distribution in different regions (Tokyo, Osaka, Fukuoka), identifying affluent neighborhoods, and assessing the competitive landscape.

Store Location Data: Identify ideal store locations based on factors such as population density, competition, and consumer spending patterns in cities like Tokyo, Osaka, and Nagoya. Real Estate Intelligence: Assess property values based on location and surrounding amenities in major cities and regional areas.

Audience Targeting Data: Create highly targeted marketing campaigns through targeted marketing placement in high-density POI areas across Tokyo, Osaka, and Kyoto.

Travel Booking Data: Identify popular tourist destinations, analyze hotel and accommodation availability, and optimize travel itineraries for domestic and international visitors. dataplor's Japan POI dataset offers unparalleled granularity and accuracy, empowering businesses to make informed decisions and achieve sustainable growth in this dynamic market.

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 CAPWIRE were relatively stable: 21.7 individuals per km2 in 2018 and 24.3 individuals per km2 in 2020. A drastic increase or decrease is not expected during the study period, and thus, density estimates using CAPWIRE are more reasonable than those using SECR. The small number of samples per individual might result in low accuracy of density estimates by SECR. The density estimated by CAPWIRE was similar to that in the main island in Japan and higher than that in Europe. Feeding competition with other omnivorous carnivores and/or predation risk by wolves might maintain the low density in Europe. The sex ratio of raccoon dogs was 1:1, which was similar to the values in invasive raccoon dogs and other canids. Further genetic census, including sex identification in various landscapes in their native and invasive range, will enable us to understand not only the ecology of raccoon dogs but also their adaptations to their invading areas.

The Japanese beetle Popillia japonica was introduced on Terceira Island (Azores) early in the 1970s. Mild temperatures, high relative humidity, and heavy rain created the perfect conditions for the beetle's establishment and rapid spread. Despite initial control efforts, the beetle quickly spread to the island's interior agricultural regions and threatened the local plants and horticultural lands. Since 1974, adult populations have been monitored in Terceira Island using pheromone and floral lure traps distributed across the island. The data revealed a distribution pattern across three circular zones with decreasing population densities and a movement of the infestation's central core to the island's interior to more conducive zones for the beetle's development. In 1989, 16 years after the first insects were discovered on the island, the pest had taken over all the available space. A contingency plan was drawn up to establish protective measures to prevent the spread of the Popillia japonica to Madeira and Portugal mainland in 1985 (Decreto Legislativo Regional 11/85/A, de 23 de Agosto). Later, it was actualized to comply with legislation of the European Union (EU), paying particular attention to categorizing this insect as a priority pest. Although these preventive measures were applied, the pest spread to other islands over the years; currently, eight of the nine islands of the Archipelago are infested. Although preventive measures have been applied, the pest has spread to other islands over the years, and currently, eight of the nine islands of the Archipelago are infested. In 1996, the Japanese beetle was detected in Faial; in 2003, on the island of São Miguel; in 2006, in the island of Pico; in 2007, on Flores and São Jorge islands; in 2013, in Corvo; and 2017, in Graciosa. Only Santa Maria has not recorded the pest's presence. The Japanese beetle completes its life cycle in a year, with individuals starting to emerge from the ground at the end of May and reaching their peak densities in early August. The last beetles were seen as late as the end of October. The first and second larval instars typically have a brief lifespan, and by early October, most of the population has reached the third instar. The third instar grubs stop feeding and pupate at the beginning of May. The pupal stage lasts less than a month, and no pupae were seen after late July. Adults eat the foliage, floral parts, and occasionally, the fruits of various agricultural plants and ornamentals. At the same time, the grubs live off the roots of the pastures that make up most of the island. It is important to clarify that the adult beetle pest can damage around 414 host plants belonging to 94 families, which may cause elevated crop damage, which makes this a priority pest to maintain under control. The data presented here is related to the Popillia japonica captured in the Azores from 2008 to 2023, which resulted from the work of the operational services on each island of the Secretaria Regional da Agricultura e Alimentação. It is a compilation of the officials’ records from the local authorities who contributed to this data from their fieldwork monitoring of Popillia japonica during these 16 years

The text contents of each municipality response are indicated in Electronic Supplement Data1: The name of informants (Most are from City, Town and Village offices), presence or absence of Japanese macaques in 1970, approximate population size, description of the area where monkeys lived (the name of mountain, valley etc.), mesh numbers where they lived based on the mesh system of the Ministry of Internal Affairs and Communication, presence or absence of crop damage, and its contents with counter measures being carried out, information on other mammal species living in the area, other information.
The municipalities with non-response are shown in Electric Supplement Data2. The map attached in the reply of each municipality is presented in the zip file: East Japan (Electronic Supplement Data3) and West Japan (Electronic Supplement Data4).

The human consequences of the 3.11 tsunami were not distributed equally across the municipalities of the Tohoku region of northeastern Japan. Instead, the mortality rate from the massive waves varied tremendously from zero to ten percent of the local residential population. What accounts for this variation remains a critical question for researchers and policy makers alike. This paper uses a new, sui generis data set including all villages, towns, and cities on the Pacific Ocean side of the Tohoku region to untangle the factors connected to mortality during the disaster. With data on demographic, geophysical, infrastructure, social capital, and political conditions for 133 municipalities, we find that tsunami height, stocks of social capital, and level of political support for the long-ruling LDP strongly influenced mortality rates. Given the high probability of future large scale catastrophes, these findings have important policy implications for disaster mitigation policies in Japan and abroad. This dataset includes measures for the proportion of dead/missing from inundated area, tsunami height (meters), area of the municipality (square km), sea wall height (meters), coast line length, length of paved roads, population density (people/sq km), pre-tsunami mortality rate, percentage of population in fishing/farming, percentage single-person households, crimes per resident, LDP support in 2009 LH election, merged locality (0/1), new locality created through merger (0/1), and fire fighting expenditure for more than 120 coastal localities in the Tohoku region affected by the 11 March 2011 tsunami.

Japan JP: Income Share Held by Highest 20% data was reported at 39.700 % in 2008. Japan JP: Income Share Held by Highest 20% data is updated yearly, averaging 39.700 % from Dec 2008 (Median) to 2008, with 1 observations. Japan JP: Income Share Held by Highest 20% 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: Poverty. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.