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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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National and subnational mid-year population estimates for the UK and its constituent countries by administrative area, age and sex (including components of population change, median age and population density).
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Twitterhttps://www.icpsr.umich.edu/web/ICPSR/studies/7413/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/7413/terms
This dataset merges 1972 data on social and military expenditures in 132 nations selected from WORLD MILITARY AND SOCIAL EXPENDITURES, 1974 (see Data Source) with information on demographic attributes of the same nations in 1972 obtained from WORLD POPULATION, 1973 (ICPSR 5032), collected by the United States Bureau of the Census. Military expenditures as well as international peacekeeping, public education, public health, and foreign economic aid expenditures are presented as both raw and per capita measures. Other information includes number of teachers, school age population per teacher, illiteracy rates, number of qualified physicians, population per physician, infant mortality rates, and population per soldier.
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TwitterResident population of New York State and counties produced by the U.S. Census Bureau. Estimates are based on decennial census counts (base population), intercensal estimates, postcensal estimates and administrative records. Updates are made annually using current data on births, deaths, and migration to estimate population change. Each year beginning with the most recent decennial census the series is revised, these new series of estimates are called vintages.
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TwitterThe Africa Population Distribution Database provides decadal population density data for African administrative units for the period 1960-1990. The databsae was prepared for the United Nations Environment Programme / Global Resource Information Database (UNEP/GRID) project as part of an ongoing effort to improve global, spatially referenced demographic data holdings. The database is useful for a variety of applications including strategic-level agricultural research and applications in the analysis of the human dimensions of global change.
This documentation describes the third version of a database of administrative units and associated population density data for Africa. The first version was compiled for UNEP's Global Desertification Atlas (UNEP, 1997; Deichmann and Eklundh, 1991), while the second version represented an update and expansion of this first product (Deichmann, 1994; WRI, 1995). The current work is also related to National Center for Geographic Information and Analysis (NCGIA) activities to produce a global database of subnational population estimates (Tobler et al., 1995), and an improved database for the Asian continent (Deichmann, 1996). The new version for Africa provides considerably more detail: more than 4700 administrative units, compared to about 800 in the first and 2200 in the second version. In addition, for each of these units a population estimate was compiled for 1960, 70, 80 and 90 which provides an indication of past population dynamics in Africa. Forthcoming are population count data files as download options.
African population density data were compiled from a large number of heterogeneous sources, including official government censuses and estimates/projections derived from yearbooks, gazetteers, area handbooks, and other country studies. The political boundaries template (PONET) of the Digital Chart of the World (DCW) was used delineate national boundaries and coastlines for African countries.
For more information on African population density and administrative boundary data sets, see metadata files at [http://na.unep.net/datasets/datalist.php3] which provide information on file identification, format, spatial data organization, distribution, and metadata reference.
References:
Deichmann, U. 1994. A medium resolution population database for Africa, Database documentation and digital database, National Center for Geographic Information and Analysis, University of California, Santa Barbara.
Deichmann, U. and L. Eklundh. 1991. Global digital datasets for land degradation studies: A GIS approach, GRID Case Study Series No. 4, Global Resource Information Database, United Nations Environment Programme, Nairobi.
UNEP. 1997. World Atlas of Desertification, 2nd Ed., United Nations Environment Programme, Edward Arnold Publishers, London.
WRI. 1995. Africa data sampler, Digital database and documentation, World Resources Institute, Washington, D.C.
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TwitterThe 2015 to 2040 population projections for the state of Connecticut were developed by the Connecticut State Data Center for planning, analysis, and to inform decision making. The projections are individual population projections for the resident population of Connecticut and were developed on July 31, 2017 and revised and republished on September 19, 2017 to address an error in the original dataset that was published on July 31, 2017. The County and Regional Council of Government Projections were published on June 29, 2018 and are based on the projections developed on September 19, 2017. These projections supersede the 2012 edition of the population projections developed by the Connecticut State Data Center.
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TwitterThe latest data tables from Statistics Jersey Population Projections
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
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Mid-year (30 June) estimates of the usual resident population for health geographies in England and Wales.
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TwitterOfficial statistics are produced impartially and free from political influence.
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TwitterUnadjusted decennial census data from 1950-2000 and projected figures from 2010-2040: summary table of New York City population numbers and percentage share by Borough, including school-age (5 to 17), 65 and Over, and total population.
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TwitterThe latest annual mid–year population estimates for Trinidad and Tobago are based on results from the latest Census of Population 2011 and provide estimates by sex and 5-year age groups for 2005 to 2022. They specifically represent the population as it is expected to be on June 30th of each calendar year. This data is collected and updated annually, meaning it's released once every year to show the latest figures.
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TwitterSelected demographic and housing estimates data citywide and by borough. Five year estimates of population data from the Census Bureau's American Community Survey.
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TwitterThe Arlington Profile combines countywide data sources and provides a comprehensive outlook of the most current data on population, housing, employment, development, transportation, and community services. These datasets are used to obtain an understanding of community, plan future services/needs, guide policy decisions, and secure grant funding. A PDF Version of the Arlington Profile can be accessed on the Arlington County website.
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TwitterData tables (Excel) - population estimates, components of growth and population by age and sex.
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TwitterThese data represent the estimated population of the Kingdom by governorate for the last available year
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TwitterPopulation over time 1821 - 2021 Census and population reports are available on gov.je.
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TwitterThe Arlington Profile combines countywide data sources and provides a comprehensive outlook of the most current data on population, housing, employment, development, transportation, and community services. These datasets are used to obtain an understanding of community, plan future services/needs, guide policy decisions, and secure grant funding. A PDF Version of the Arlington Profile can be accessed on the Arlington County website.
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The estimated number of single-age registered population in Taiwan and Fujian areas by gender and total at the end of the year. The registered population refers to the citizens of the Republic of China who have a household registration in the country, including foreign nationals who have obtained household registration status in Taiwan, but does not include foreigners residing in Taiwan for work or study.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Official population projections for: • South Australia and regions for 2016 to 2041 • Local government areas (LGAs) and Statistical Areas level 2 (SA2s) for 2016 to 2036. Users should familiarise themselves with the assumptions, qualifications and background information provided on the DPTI population projections webpage at http://www.dpti.sa.gov.au/planning/population in order to choose the projection that best suits their needs. Updated every 5 years.
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TwitterFrom the Weldon Cooper Center for Public Service at the University of Virginia the "Demographics Research Group produces the official annual population estimates for Virginia and its localities; conducts practical and policy-oriented analysis of census and demographic data under contract; and communicates rigorous research and its policy implications to clients including state and local governments, employers, non-profit organizations, and the general public, through meaningful, intuitive publications, and presentations."
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Contains latest available estimates by age and sex of the resident populations of areas of Australia as at 30 June. These estimates are provided for Statistical Areas Level 2 - 4 (SA2s - SA4s), Greater Capital City Statistical Areas (GCCSAs), and states and territories of Australia according to the current edition of the Australian Statistical Geography Standard (ASGS). Estimates are also provided for Local Government Areas (LGAs).
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
National and subnational mid-year population estimates for the UK and its constituent countries by administrative area, age and sex (including components of population change, median age and population density).