The data contains the number of population in the capital cities of a country around the world.

Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

2007 marked the first year where more of the world's population lived in an urban setting than a rural setting. In 1960, roughly a third of the world lived in an urban setting; it is expected that this figure will reach two thirds by 2050. Urbanization is a fairly new phenomenon; for the vast majority of human history, fewer than five percent of the world lived in urban areas, due to the dependency on subsistence agriculture. Advancements in agricultural practices and technology then coincided with the beginning of the industrial revolution in Europe in the late 19th century, which resulted in waves of urbanization to meet the demands of emerging manufacturing industries. This trend was replicated across the rest of the world as it industrialized over the following two centuries, and the most significant increase coincided with the industrialization of the most populous countries in Asia. In more developed economies, urbanization remains high even as economies de-industrialize, due to a variety of factors such as housing availability, labor demands in service industries, and social trends.

Human population density in 2000, by terrestrial ecoregion.

We summarized human population density by ecoregion using the Gridded Population of the World database and projections for 2015 (CIESIN et al. 2005). The mean for each ecoregion was extracted using a zonal statistics algorithm.

These data were derived by The Nature Conservancy, and were displayed in a map published in The Atlas of Global Conservation (Hoekstra et al., University of California Press, 2010). More information at http://nature.org/atlas.

Data derived from:

Center for International Earth Science Information Network (CIESIN), Columbia University; and Centro Internacional de Agricultura Tropical (CIAT). 2005. Gridded Population of the World Version 3 (GPWv3). Socioeconomic Data and Applications Center (SEDAC), Columbia University Palisades, New York. Available at http://sedac.ciesin.columbia.edu/gpw. Digital media.

United Nations Population Division (UNPD). 2007. Global population, largest urban agglomerations and cities of largest change. World Urbanization Prospects: The 2007 Revision Population Database. Available at http://esa.un.org/unup/index.asp.

For more about The Atlas of Global Conservation check out the web map (which includes links to download spatial data and view metadata) at http://maps.tnc.org/globalmaps.html. You can also read more detail about the Atlas at http://www.nature.org/science-in-action/leading-with-science/conservation-atlas.xml, or buy the book at http://www.ucpress.edu/book.php?isbn=9780520262560

In the past four centuries, the population of the Thirteen Colonies and United States of America has grown from a recorded 350 people around the Jamestown colony in Virginia in 1610, to an estimated 346 million in 2025. While the fertility rate has now dropped well below replacement level, and the population is on track to go into a natural decline in the 2040s, projected high net immigration rates mean the population will continue growing well into the next century, crossing the 400 million mark in the 2070s. Indigenous population Early population figures for the Thirteen Colonies and United States come with certain caveats. Official records excluded the indigenous population, and they generally remained excluded until the late 1800s. In 1500, in the first decade of European colonization of the Americas, the native population living within the modern U.S. borders was believed to be around 1.9 million people. The spread of Old World diseases, such as smallpox, measles, and influenza, to biologically defenseless populations in the New World then wreaked havoc across the continent, often wiping out large portions of the population in areas that had not yet made contact with Europeans. By the time of Jamestown's founding in 1607, it is believed the native population within current U.S. borders had dropped by almost 60 percent. As the U.S. expanded, indigenous populations were largely still excluded from population figures as they were driven westward, however taxpaying Natives were included in the census from 1870 to 1890, before all were included thereafter. It should be noted that estimates for indigenous populations in the Americas vary significantly by source and time period. Migration and expansion fuels population growth The arrival of European settlers and African slaves was the key driver of population growth in North America in the 17th century. Settlers from Britain were the dominant group in the Thirteen Colonies, before settlers from elsewhere in Europe, particularly Germany and Ireland, made a large impact in the mid-19th century. By the end of the 19th century, improvements in transport technology and increasing economic opportunities saw migration to the United States increase further, particularly from southern and Eastern Europe, and in the first decade of the 1900s the number of migrants to the U.S. exceeded one million people in some years. It is also estimated that almost 400,000 African slaves were transported directly across the Atlantic to mainland North America between 1500 and 1866 (although the importation of slaves was abolished in 1808). Blacks made up a much larger share of the population before slavery's abolition. Twentieth and twenty-first century The U.S. population has grown steadily since 1900, reaching one hundred million in the 1910s, two hundred million in the 1960s, and three hundred million in 2007. Since WWII, the U.S. has established itself as the world's foremost superpower, with the world's largest economy, and most powerful military. This growth in prosperity has been accompanied by increases in living standards, particularly through medical advances, infrastructure improvements, clean water accessibility. These have all contributed to higher infant and child survival rates, as well as an increase in life expectancy (doubling from roughly 40 to 80 years in the past 150 years), which have also played a large part in population growth. As fertility rates decline and increases in life expectancy slows, migration remains the largest factor in population growth. Since the 1960s, Latin America has now become the most common origin for migrants in the U.S., while immigration rates from Asia have also increased significantly. It remains to be seen how immigration restrictions of the current administration affect long-term population projections for the United States.

LANDSCAN GLOBAL 2002

Contact: Human Geography, Geospatial Science and Human Security Division, Oak Ridge National Laboratory

Address: landscan@ornl.gov

Online Resource: https://landscan.ornl.gov

Standard Name: ISO 19139 Geographic Information - Metadata - Implementation Specification

Standard Version: 2007

Title: LandScan Global 2002

Publication Date: 2003-07-01

Creation Date: Human Geography, Geospatial Science and Human Security Division, Oak Ridge National Laboratory

Other Citation Details: https://doi.org/10.48690/1524198

Abstract: Using an innovative approach that combines Geographic Information Science, remote sensing technology, and machine learning algorithms, ORNL’s LandScan is the community standard for global population distribution. At 30 arc-second (approximately 1 km) resolution, LandScan is the finest resolution global population distribution data available representing an “ambient population” (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data, high-resolution imagery exploitation, and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. LandScan population data are spatially explicit - unlike tabular Census data. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region. By modeling an ambient population, LandScan Global captures the full potential activity space of people throughout the course of the day and night rather than just a residential location.

Purpose: LandScan Global was developed on behalf of the U.S. federal government and is used for rapid consequence and risk assessment as well as emergency planning and management.

Credit: Human Geography, Geospatial Science and Human Security Division, Oak Ridge National Laboratory; US DOD

​

Creative Commons Attribution 4.0 International License

https://landscan.ornl.gov/licensing

Oak Ridge National Laboratory

The FGGD extreme poverty map is a global vector datalayer at scale 1:5 000 000. The map depicts the differences among countries with respect to the national population estimated to be living in extreme poverty as of the latest year for which data was available in 2005. Data have been compiled by FAO from data reported in World Bank, WDI Online, as of April 2005.

Data publication: 2007-06-25

Supplemental Information:

This dataset is contained in Module 3 "Socio-economics and nutrition indicators" of Food Insecurity, Poverty and Environment Global GIS Database (FGGD) (FAO, 2007).

Contact points:

Metadata Contact: FAO-Data

Resource Contact: Mirella Salvatore

Resource constraints:

copyright

Online resources:

Share of population living in extreme poverty, by country, varying years

Ireland IE: Population: Growth data was reported at 1.218 % in 2017. This records an increase from the previous number of 1.129 % for 2016. Ireland IE: Population: Growth data is updated yearly, averaging 0.813 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 2.891 % in 2007 and a record low of -0.428 % in 1988. Ireland IE: Population: Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ireland – Table IE.World Bank.WDI: Population and Urbanization Statistics. Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects: 2017 Revision, (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

The global urban population overtook the rural population in numbers in 2007. As of 2023, 4.61 billion people live in urban areas, compared to 3.45 million in rural areas. This development underlines that rapid urbanization the world has seen in recent decades.

Abstract

The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden. The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones. The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

Geographic coverage

The Survey covers China.

Analysis unit

• Household
• Individual

Universe

The WVS for China covers national population aged 18 years and over, for both sexes.

Kind of data

Sample survey data [ssd]

Sampling procedure

To meet the requirement of overall coverage of Chinese adults including migrant population, GPS/GIS Assistant Area Sampling 1 was used in this survey. Respondents are sampled through stratified, multi-stage PPS (probability proportional to size) sampling. With careful considerations of representativeness, feasibility, and budgetary constrains, it was decided this project would draw a subsidiary probability sample out of a RCCCs previous national survey Social Inequality and Distributive Justice in China conducted in 2004. The 2004 survey was a national survey conducted through out the country. The target population was the same as the one defined for this survey. In the meanwhile, through the stratification, the proportionally allocated multi-stage PPS technique was employed in order to obtain the self-weighted household samples. Sampling Frames A GIS dataset was established as the sampling frame for this project, which was based on: 1) township level population data from the 2000 Census,2 2) the most recent and detailed (paper and electronic) maps, 3) the highest possible resolution images from Google Earth. Compile all the information above the population density was calculated for each of the HSMs in township level units. Within the target population, there were 3,004 half-square degree (HSD) of latitude and longitude for the first stage sampling. The total population were 1,242,612,226.

Sampling Processes: 1) Out of 3,004 half-square degree(HSD) in China, 40 HSDs were chosen by PPS. 2) Two OSMs were selected by PPS within each of the selected HSD. 3) One HSM was drawn by PPS within each of the selected OSM; The measures of size (MOS) used at these stages were the density of the population per sampling unit. 4)Within each of the selected HSM,the number of SSSs (90m*90m)was calculated based on the population density, and then selected the SSSs simple randomly. 5) Trained surveyors equipped with GPS receivers were then sent to locate and enumerate the sampled spatial square seconds (SSS). For maintaining equal probabilities of selection across households, all dwellings enumerated in the SSSs were included in the sample. Using system sampling, we draw 50 dwellings in each HSM. 6) Respondents were selected from dwellings using the Kish Grid method3.

The sample size for China is N=1991.

Mode of data collection

Face-to-face [f2f]

Response rate

The sample size was determined to be approximately 2,800 eligible individuals are to be drawn out of the above defined target population in all provinces of China. 2,873 Target sample size 2,534 Sample drawn in the field 1,991 Completed, valid interviews 78.6% Response rate

Sampling error estimates

+/- 2,2%

Somalia SO: Urban Population Growth data was reported at 4.226 % in 2017. This records an increase from the previous number of 4.216 % for 2016. Somalia SO: Urban Population Growth data is updated yearly, averaging 4.314 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 12.784 % in 1977 and a record low of -4.600 % in 2007. Somalia SO: Urban Population Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Somalia – Table SO.World Bank: Population and Urbanization Statistics. Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects.; ; World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.; Weighted average;

LANDSCAN GLOBAL 2022

Contact: Human Dynamics Section, Geospatial Science and Human Security Division, Oak Ridge National Laboratory

Address: landscan@ornl.gov

Online Resource: https://landscan.ornl.gov

Standard Name: ISO 19139 Geographic Information - Metadata - Implementation Specification

Standard Version: 2007

Title: LandScan Global 2022

Publication Date: 2023-07-01

Creation Date: Human Dynamics Section, Geospatial Science and Human Security Division, Oak Ridge National Laboratory

Other Citation Details: https://doi.org/10.48690/1529167

Abstract: Using an innovative approach that combines Geographic Information Science, remote sensing technology, and machine learning algorithms, ORNL’s LandScan is the community standard for global population distribution. At 30 arc-second (approximately 1 km) resolution, LandScan is the finest resolution global population distribution data available representing an “ambient population” (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data, high-resolution imagery exploitation, and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. LandScan population data are spatially explicit - unlike tabular Census data. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region. By modeling an ambient population, LandScan Global captures the full potential activity space of people throughout the course of the day and night rather than just a residential location.

Purpose: LandScan Global was developed on behalf of the U.S. federal government and is used for rapid consequence and risk assessment as well as emergency planning and management.

Credit: Human Dynamics, Geospatial Science and Human Security Division, Oak Ridge National Laboratory; US DOD

Creative Commons Attribution 4.0 International License

https://landscan.ornl.gov/licensing

Oak Ridge National Laboratory

Population, female of Ajlun rose by 2.62% from 87,800 persons in 2016 to 90,100 persons in 2017. Since the 3.11% upward trend in 2007, population, female soared by 60.04% in 2017.

Cuba CU: Population: Female: Ages 25-29: % of Female Population data was reported at 5.828 % in 2023. This records a decrease from the previous number of 5.866 % for 2022. Cuba CU: Population: Female: Ages 25-29: % of Female Population data is updated yearly, averaging 7.540 % from Dec 1960 (Median) to 2023, with 64 observations. The data reached an all-time high of 10.634 % in 1993 and a record low of 5.702 % in 2007. Cuba CU: Population: Female: Ages 25-29: % of Female Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Cuba – Table CU.World Bank.WDI: Population and Urbanization Statistics. Female population between the ages 25 to 29 as a percentage of the total female population.;United Nations Population Division. World Population Prospects: 2024 Revision.;;

Egypt EG: Population: Growth data was reported at 1.930 % in 2017. This records a decrease from the previous number of 2.017 % for 2016. Egypt EG: Population: Growth data is updated yearly, averaging 2.240 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 2.787 % in 1987 and a record low of 1.748 % in 2007. Egypt EG: Population: Growth data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Egypt – Table EG.World Bank.WDI: Population and Urbanization Statistics. Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.; ; Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects: 2017 Revision, (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Graph and download economic data for Population, Total for Curacao (POPTOTCW52647NWDB) from 2007 to 2012 about Curacao and population.

Poverty rate of Cabo Verde plummeted by 49.58% from 16.6 % in 2001 to 8.4 % in 2007. Since the 49.58% drop in 2007, poverty rate remained constant by 0.00% in 2007. Population below $1.90 a day is the percentage of the population living on less than $1.90 a day at 2011 international prices.

Over the past three decades, the share of the global population living in rural areas has decreased continuously. Since 2007, less than **** of the world's population lived in rural areas, a share that had dropped to ***** percent as of 2023. The urbanization is expected to continue over the coming decades.

To investigate the global incidence of prostate cancer with special attention to the changing age structures. Data regarding the cancer incidence and population statistics were retrieved from the International Agency for Research on Cancer in World Health Organization. Eight developing and developed jurisdictions in Asia and the Western countries were selected for global comparison. Time series were constructed based on the cancer incidence rates from 1988 to 2007. The incidence rate of the population aged ≥ 65 was adjusted by the increasing proportion of elderly population, and was defined as the “aging-adjusted incidence rate”. Cancer incidence and population were then projected to 2030. The aging-adjusted incidence rates of prostate cancer in Asia (Hong Kong, Japan and China) and the developing Western countries (Costa Rica and Croatia) had increased progressively with time. In the developed Western countries (the United States, the United Kingdom and Sweden), we observed initial increases in the aging-adjusted incidence rates of prostate cancer, which then gradually plateaued and even decreased with time. Projections showed that the aging-adjusted incidence rates of prostate cancer in Asia and the developing Western countries were expected to increase in much larger extents than the developed Western countries.

Estonia EE: Population: as % of Total: Male: Aged 0-14 data was reported at 17.944 % in 2017. This records an increase from the previous number of 17.768 % for 2016. Estonia EE: Population: as % of Total: Male: Aged 0-14 data is updated yearly, averaging 23.864 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 26.860 % in 1961 and a record low of 16.477 % in 2007. Estonia EE: Population: as % of Total: Male: Aged 0-14 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Estonia – Table EE.World Bank: Population and Urbanization Statistics. Male population between the ages 0 to 14 as a percentage of the total male population. Population is based on the de facto definition of population.; ; World Bank staff estimates based on age/sex distributions of United Nations Population Division's World Population Prospects: 2017 Revision.; Weighted average;