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 Population Census: Age 100 to 104 Years data was reported at 61,763.000 Person in 2015. This records an increase from the previous number of 43,882.000 Person for 2010. Japan Population Census: Age 100 to 104 Years data is updated yearly, averaging 43,882.000 Person from Dec 2005 (Median) to 2015, with 3 observations. The data reached an all-time high of 61,763.000 Person in 2015 and a record low of 23,873.000 Person in 2005. Japan Population Census: Age 100 to 104 Years data remains active status in CEIC and is reported by Statistical Bureau. The data is categorized under Global Database’s Japan – Table JP.G002: Population: Annual.

Over the last decade, Japan’s population has aged more and more, to the point where more than a quarter of Japanese were 65 years and older in 2022. Population growth has stopped and even reversed, since it’s been in the red for several years now.

It’s getting old

With almost 30 percent of its population being elderly inhabitants, Japan is considered the “oldest” country in the world today. Japan boasts a high life expectancy, in fact, the Japanese tend to live longer than the average human worldwide. The increase of the aging population is accompanied by a decrease of the total population caused by a sinking birth rate. Japan’s fertility rate has been below the replacement rate for many decades now, mostly due to economic uncertainty and thus a decreasing number of marriages.

Are the Japanese invincible?

There is no real mystery surrounding the ripe old age of so many Japanese. Their high average age is very likely due to high healthcare standards, nutrition, and an overall high standard of living – all of which could be adopted by other industrial nations as well. But with high age comes less capacity, and Japan’s future enemy might not be an early death, but rather a struggling social network.

Japan Population Census: Male: Age 100 to 104 Years data was reported at 8,383.000 Person in 2015. This records an increase from the previous number of 5,851.000 Person for 2010. Japan Population Census: Male: Age 100 to 104 Years data is updated yearly, averaging 5,851.000 Person from Dec 2005 (Median) to 2015, with 3 observations. The data reached an all-time high of 8,383.000 Person in 2015 and a record low of 3,580.000 Person in 2005. Japan Population Census: Male: Age 100 to 104 Years data remains active status in CEIC and is reported by Statistical Bureau. The data is categorized under Global Database’s Japan – Table JP.G002: Population: Annual.

This dataset displays data from the 2005 Census of Japan. It displays male population by age, selected age ranges, percentages of age ranges, average average, and median age in the selected prefectures in Japan for the year 2005. Only 30 of the 47 prectures were displayed in the data source. There are also 2 other datasets that break this data up by total and female figures. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.

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

This dataset displays data from the 2005 Census of Japan. It displays data on Private Households with Related Members 65 Years of Age and Over throughout prefectures in Japan. This dataset specifically deals with number of Private Households with Related Members 65 Years of Age and Over, Number of Private Households with Related Members 65 Years of Age and Over, and number of 65 and older persons living with related members. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.

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.

A description of the modelling methods used for age and sex structures can be found in "https://pophealthmetrics.biomedcentral.com/articles/10.1186/1478-7954-11-11" target="_blank"> Tatem et al and Pezzulo et al. Details of the input population count datasets used can be found here, and age/sex structure proportion datasets here.
Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined here. The datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020.
The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping.
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/WP00646

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.

A description of the modelling methods used for age and gender structures can be found in "https://pophealthmetrics.biomedcentral.com/articles/10.1186/1478-7954-11-11" target="_blank"> Tatem et al and Pezzulo et al. Details of the input population count datasets used can be found here, and age/gender structure proportion datasets here.
Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined here. The datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020.
The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping.
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/WP00646

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

The number of COVID-19 vaccination doses administered per 100 people in Japan rose to 310 as of Oct 27 2023. This dataset includes a chart with historical data for Japan Coronavirus Vaccination Rate.

This dataset displays data from the 2005 Census of Japan. It displays data on Private Households throughout prefectures in Japan. This dataset specifically deals with number of Rented Households Issued Housing, Number of Rented Households Issued Housing Members, Average number of Members per Rented Households Issued Housing, Area of Floor Space per Household of Rented Households Issued Housing, and Area of Floor Space per Person of Rented Households Issued Housing. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.

The Pharmaceuticals and Medical Devices Agency (PMDA) has conducted many pharmacoepidemiological studies for postmarketing drug safety assessments based on real-world data from medical information databases. One of these databases is the National Database of Health Insurance Claims and Specific Health Checkups of Japan (NDB), containing health insurance claims of almost all Japanese individuals (over 100 million) since April 2009. This article describes the PMDA’s regulatory experiences in utilizing the NDB for postmarketing drug safety assessment, especially focusing on the recent cases of use of the NDB to examine the practical utilization and safety signal of a drug. The studies helped support regulatory decision-making for postmarketing drug safety, such as considering a revision of prescribing information of a drug, confirming the appropriateness of safety measures, and checking safety signals in real-world situations. Different characteristics between the NDB and the MID-NET® (another database in Japan) were also discussed for appropriate selection of data source for drug safety assessment. Accumulated experiences of pharmacoepidemiological studies based on real-world data for postmarketing drug safety assessment will contribute to evolving regulatory decision-making based on real-world data in Japan.

Success.ai’s Fashion & Apparel Data for Apparel, Fashion & Luxury Goods Professionals in Asia provides a robust dataset tailored for businesses seeking to connect with key players in Asia’s thriving fashion and luxury goods industries. Covering roles such as brand managers, designers, retail executives, and supply chain leaders, this dataset includes verified contact details, professional insights, and actionable business data.

With access to over 700 million verified global profiles and 130 million profiles focused on Asia, Success.ai ensures your outreach, marketing, and business development strategies are supported by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution positions you to succeed in Asia’s competitive and ever-growing fashion markets.

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This study aimed to obtain standard scores of the CogEvo (Total Brain Care CO., Ltd., Kobe, Japan), which is a computer-based cognitive function assessment tool, for healthy middle-aged and older people and to investigate the usefulness of the CogEvo in detecting the group below the MoCA-J reference point. This study was an exploratory secondary data analysis and a cross-sectional study. Two datasets were used in this study; Data 1 was secondary data of the CogEvo scores in the general public collected by Total Brain Care CO., Ltd. This big data included 726 to 1421 participants, varying in number for each CogEvo task. Data 2 was the secondary data from a RCT including the CogEvo scores, the MoCA-J scores for the 20 participants. In data 1, all tasks showed statistically significant differences between age groups. Multiple comparisons showing significantly lower scores in the 60s compared to the 40s only in “Flashing light” task, although all other task scores were significantly lower than those in their 70s or 80s. Then, the first quartile of the CogEvo task scores for each age group in Data 1 was determined as cut-off points in order to investigate CogEvo’s sensitivity and specificity for detecting MoCA-J≤ 25 group in Data 2. The sensitivity and specificity were 66.7% and 63.6%, respectively, and these were not so high. However, "Flashing light" scores began to decline in the 60s, suggesting that the CogEvo may be useful for detecting age-related neuromotor cognitive decline in healthy middle-aged and older adults. Methods This study was an exploratory secondary data analysis and a cross-sectional study. It was approved by the Ethics Committee of Showa University (Approval No. 2023-111-B). Two datasets were used in this study. Data 1 were scores of the CogEvo provided by Total Brain Care CO., Ltd (Data 1). Data 2 included 20 participants and these were the secondary data of the RCT “Effectiveness of an Application Software SoroTouch in Middle and advanced age people” (Data 2). Data 1 Data 1 were secondary data obtained by Total Brain Care CO., Ltd. All participants conducted the CogEvo as part of preventive care services in 10 municipalities in Japan and agreed to have their data used in the research before CogEvo was performed. The exclusion criteria were as follows: 1) age less than 40 or more than 100; 2) performing CogEvo for the second or later time; and 3) performing other than five basic tasks (“Flashing Lights,” “Follow the Order,” “Orientation,” “Route 99,” and “Same Shape”). The data were anonymized and included only the scores of the CogEvo, age, and sex because they were secondary data. These data were collected on a task-by-task basis, and it was not known which task was performed by each individual participant. In addition, some participants performed tasks other than the five basic tasks. Hence, the total scores from the five basic CogEvo tasks were unknown. Data 2 Data 2 were the baseline data of the RCT “Effectiveness of an Application Software SoroTouch in Middle and advanced age people”, and the participants were 20 individuals (6 men, 14 women) aged 42–79 years who were recruited from the participants of community-based activities for reducing the risk of dementia held by the Niyokatsu general incorporated association. They were different from the participants in Data 1. The participants had never been diagnosed with dementia nor MCI, and were able to come to the office of the general incorporated association alone. Cognitive function was evaluated using the CogEvo and the MoCA-J before the intervention in the RCT. We obtained the participants’ scores of the CogEvo and MoCA-J, and their demographic and clinical characteristics. The study population included 6 male and 14 female participants (mean age, 63.5 ± 11.0 years; range, 42–79 years).

This dataset displays data from the 2005 Census of Japan. It displays data on Institutional Households and Household Members throughout prefectures in Japan. This dataset specifically deals with Inpatients of Hospitals. This data comes from Japan's Ministry of Internal Affairs and Communication's Statistics Bureau.

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

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.

Danirixin is a selective chemokine receptor antagonist being developed as a potential anti-inflammatory agent for the treatment of chronic obstructive pulmonary disease (COPD). The aim of the study is to assess the safety, tolerability and pharmacokinetics (PK) in healthy Japanese subjects over the age of 65 years (inclusive). The study will be conducted in two parts: Part 1 will be a double blind, placebo-controlled, 3-period crossover, ascending single oral dose administration of GSK1325756H (Hydrobromide Salt Tablet Formulations of Danirixin) 10, 50 and 100 milligram (mg) in the fed condition. Part 2 will be an open label, 2-period crossover, single oral dose of GSK1325756H 50 mg in fed and fasted state. This study will provide an understanding of PK of hydrobromide salt of GSK1325756 in population of healthy elderly subjects and also contribute to the selection of appropriate dosing for Phase IIa study in Japan.

The benchmark interest rate in Japan was last recorded at 0.50 percent. This dataset provides - Japan Interest Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.