Graph and download economic data for Employed Persons in South Census Region (LAURD930000000000005) from Jan 1976 to May 2025 about South Census Region, household survey, employment, persons, and USA.

Thailand Population: By Region: Southern data was reported at 9,399.578 Person th in 2017. This records an increase from the previous number of 9,341.162 Person th for 2016. Thailand Population: By Region: Southern data is updated yearly, averaging 7,808.073 Person th from Dec 1975 (Median) to 2017, with 43 observations. The data reached an all-time high of 9,399.578 Person th in 2017 and a record low of 5,225.656 Person th in 1975. Thailand Population: By Region: Southern data remains active status in CEIC and is reported by Department of Provincial Administration. The data is categorized under Global Database’s Thailand – Table TH.G001: Population: By Region and Registration.

Resident Population in the South Census Region was 132665.69300 Thous. of Persons in January of 2024, according to the United States Federal Reserve. Historically, Resident Population in the South Census Region reached a record high of 132665.69300 in January of 2024 and a record low of 24565.00000 in January of 1900. Trading Economics provides the current actual value, an historical data chart and related indicators for Resident Population in the South Census Region - last updated from the United States Federal Reserve on July of 2025.

Concept: Total of branches from the banking segment divided by the region's adult population estimation for the year, calculated by IBGE, and multiplied by ten thousand

Graph and download economic data for Resident Population in the West South Central Census Division (CWSCPOP) from 1900 to 2024 about West South Central Census Division, residents, population, and USA.

The 1998 Dress Rehearsal was conducted as a prelude to the United States Census of Population and Housing, 2000, in the following locations: (1) Columbia, South Carolina, and surrounding areas, including the town of Irmo and the counties of Chester, Chesterfield, Darlington, Fairfield, Kershaw, Lancaster, Lee, Marlboro, Newberry, Richland, and Union, (2) Sacramento, California, and (3) Menominee County, Wisconsin, including the Menominee American Indian Reservation. This collection contains map files showing various levels of geography (in the form of Census Tract Outline Maps, Voting District/State Legislative District Outline Maps, and County Block Maps), TIGER/Line digital files, and Corner Point files for the Census 2000 Dress Rehearsal sites. The Corner Point data files contain the bounding latitude and longitude coordinates for each individual map sheet of the 1998 Dress Rehearsal Public Law (P.L.) 94-171 map products. These files include a sheet identifier, minimum and maximum longitude, minimum and maximum latitude, and the map scale (integer value) for each map sheet. The latitude and longitude coordinates are in decimal degrees and expressed as integer values with six implied decimal places. There is a separate Corner Point File for each of the three map types: County Block Map, Census Tract Outline Map, and Voting District/State Legislative District Outline Map. Each of the three map file types is provided in two formats: Portable Document Format (PDF), for viewing, and Hewlett-Packard Graphics Language (HP-GL) format, for plotting. The County Block Maps show the greatest detail and the most complete set of geographic information of all the maps. These large-scale maps depict the smallest geographic entities for which the Census Bureau presents data -- the census blocks -- by displaying the features that delineate them and the numbers that identify them. These maps show the boundaries, names, and codes for American Indian/Alaska Native areas, county subdivisions, places, census tracts, and, for this series, the geographic entities that the states delineated in Phase 2, Voting District Project, of the Redistricting Data Program. The HP-GL version of the County Block Maps is broken down into index maps and map sheets. The map sheets cover a small area, and the index maps are composed of multiple map sheets, showing the entire area. The intent of the County Block Map series is to provide a map for each county on the smallest possible number of map sheets at the maximum practical scale, dependent on the area size of the county and the density of the block pattern. The latter affects the display of block numbers and feature identifiers. The Census Tract Outline Maps show the boundaries and numbers of census tracts, and name the features underlying the boundaries. These maps also show the boundaries and names of counties, county subdivisions, and places. They identify census tracts in relation to governmental unit boundaries. The mapping unit is the county. These large-format maps are produced to support the P.L. 94-171 program and all other 1998 Dress Rehearsal data tabulations. The Voting District/State Legislative District Outline Maps show the boundaries and codes for voting districts as delineated by the states in Phase 2, Voting District Project, of the Redistricting Data Program. The features underlying the voting district boundaries are shown, as well as the names of these features. Additionally, for states that submit the information, these maps show the boundaries and codes for state legislative districts and their underlying features. These maps also show the boundaries of and names of American Indian/Alaska Native areas, counties, county subdivisions, and places. The scale of the district maps is optimized to keep the number of map sheets for each area to a minimum, but the scale and number of map sheets will vary by the area size of the county and the voting districts and state legislative districts delineated by the states. The Census 2000 Dress Rehearsal TIGER/Line Files consist of line segments representing physical features and governmental and statistical boundaries. The files contain information distributed over a series of record types for the spatial objects of a county. These TIGER/Line Files are an extract of selected geographic and cartographic information from the Census TIGER (Topological

This statistic shows the change in the regional distribution of the U.S. population each decade from 1790 to 2021. In 2021, 17.2 percent of the population in the United States lived in the Northeast.

Population: SF: Rostov Region: Volgodonsk: Non Working Age: Age 0 to 15 data was reported at 30.000 Person th in 2019. This records a decrease from the previous number of 30.400 Person th for 2018. Population: SF: Rostov Region: Volgodonsk: Non Working Age: Age 0 to 15 data is updated yearly, averaging 26.000 Person th from Dec 2003 (Median) to 2019, with 17 observations. The data reached an all-time high of 30.400 Person th in 2018 and a record low of 23.200 Person th in 2007. Population: SF: Rostov Region: Volgodonsk: Non Working Age: Age 0 to 15 data remains active status in CEIC and is reported by Federal State Statistics Service. The data is categorized under Russia Premium Database’s Demographic and Labour Market – Table RU.GA018: Population: by City: Southern Federal District.

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2010 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2000 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area, no land area.

The Colony of Virginia, the location of the Jamestown Settlement (the first permanent English settlement in the Americas), was the most populous southern colony or state in the region until it was partitioned into Virginia and West Virginia during the American Civil War. Virginia was also the most populous of the Thirteen Colonies throughout most of the Colonial Era. In terms of ethnicity, the southern colonies had the largest relative Black populations, with South Carolina even becoming majority-Black in the 1710s.

Philippines Population: Region XI: Southern Mindanao data was reported at 4,893.318 Person th in 2015. This records an increase from the previous number of 4,468.563 Person th for 2010. Philippines Population: Region XI: Southern Mindanao data is updated yearly, averaging 3,482.494 Person th from Dec 1975 (Median) to 2015, with 8 observations. The data reached an all-time high of 4,893.318 Person th in 2015 and a record low of 2,198.683 Person th in 1980. Philippines Population: Region XI: Southern Mindanao data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.G001: Population: Census 2010.

Mid-year (30 June) estimates of the usual resident population for 2011 Census Output Areas (OAs) in the South West region of England.

Brazil Population: Residents: South: Rio Grande do Sul: Metropolitan Region of Porto Alegre: Age 15 to 19 Years data was reported at 333.000 Person th in 2015. This records an increase from the previous number of 330.000 Person th for 2014. Brazil Population: Residents: South: Rio Grande do Sul: Metropolitan Region of Porto Alegre: Age 15 to 19 Years data is updated yearly, averaging 333.500 Person th from Sep 2001 (Median) to 2015, with 14 observations. The data reached an all-time high of 355.000 Person th in 2001 and a record low of 319.000 Person th in 2008. Brazil Population: Residents: South: Rio Grande do Sul: Metropolitan Region of Porto Alegre: Age 15 to 19 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAA027: Population: by States and Age: South: Rio Grande do Sul.

This horizontal bar chart displays population (people) by region using the aggregation sum in Southern Asia. The data is about countries.

The share of people living in rural areas varies greatly between the different regions of the world . Whereas nearly ********** of the population in South Asia lived in rural areas in 2022, this proportion was only ** percent in North America. The decrease was especially significant in East Asia & The Pacific, where the rate fell from ********** in 1990 to less than ********** in 2022.

Comprehensive socio-economic dataset for South Georgia including population demographics, economic indicators, geographic data, and social statistics. This dataset covers key metrics such as GDP, population density, area, capital city, and regional classifications.

Relative concentration of the Southern California region's Asian American population. The variable ASIANALN records all individuals who select Asian as their SOLE racial identity in response to the Census questionnaire, regardless of their response to the Hispanic ethnicity question. Both Hispanic and non-Hispanic in the Census questionnaire are potentially associated with the Asian race alone.

"Relative concentration" is a measure that compares the proportion of population within each Census block group data unit that identify as ASIANALN alone to the proportion of all people that live within the 13,312 block groups in the Southern California RRK region that identify as ASIANALN alone. Example: if 5.2% of people in a block group identify as HSPBIPOC, the block group has twice the proportion of ASIANALN individuals compared to the Southern California RRK region (2.6%), and more than three times the proportion compared to the entire state of California (1.6%). If the local proportion is twice the regional proportion, then ASIANALN individuals are highly concentrated locally.

Brazil Population: Residents: South: Parana: Metropolitan Region of Curitiba: Age 50 to 54 Years data was reported at 255.000 Person th in 2015. This records an increase from the previous number of 240.000 Person th for 2014. Brazil Population: Residents: South: Parana: Metropolitan Region of Curitiba: Age 50 to 54 Years data is updated yearly, averaging 187.500 Person th from Sep 2001 (Median) to 2015, with 14 observations. The data reached an all-time high of 255.000 Person th in 2015 and a record low of 133.000 Person th in 2002. Brazil Population: Residents: South: Parana: Metropolitan Region of Curitiba: Age 50 to 54 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAA026: Population: by States and Age: South: Paraná.

In 2025, the central regions of Italy have the oldest population, with one fourth of the inhabitants over 65 years and older. By contrast, the largest share of individuals aged up to 14 years lives in the south. Regional data on births show the southern regions have the highest birth rate in the country.

In 2024, the population of Gyeonggi Province in South Korea stood at around **** million. Seoul followed with about *** million inhabitants. The total population of South Korea stood at around **** million that year.