The Bureau of the Census has released Census 2000 Summary File 1 (SF1) 100-Percent data. The file includes the following population items: sex, age, race, Hispanic or Latino origin, household relationship, and household and family characteristics. Housing items include occupancy status and tenure (whether the unit is owner or renter occupied). SF1 does not include information on incomes, poverty status, overcrowded housing or age of housing. These topics will be covered in Summary File 3. Data are available for states, counties, county subdivisions, places, census tracts, block groups, and, where applicable, American Indian and Alaskan Native Areas and Hawaiian Home Lands. The SF1 data are available on the Bureau's web site and may be retrieved from American FactFinder as tables, lists, or maps. Users may also download a set of compressed ASCII files for each state via the Bureau's FTP server. There are over 8000 data items available for each geographic area. The full listing of these data items is available here as a downloadable compressed data base file named TABLES.ZIP. The uncompressed is in FoxPro data base file (dbf) format and may be imported to ACCESS, EXCEL, and other software formats. While all of this information is useful, the Office of Community Planning and Development has downloaded selected information for all states and areas and is making this information available on the CPD web pages. The tables and data items selected are those items used in the CDBG and HOME allocation formulas plus topics most pertinent to the Comprehensive Housing Affordability Strategy (CHAS), the Consolidated Plan, and similar overall economic and community development plans. The information is contained in five compressed (zipped) dbf tables for each state. When uncompressed the tables are ready for use with FoxPro and they can be imported into ACCESS, EXCEL, and other spreadsheet, GIS and database software. The data are at the block group summary level. The first two characters of the file name are the state abbreviation. The next two letters are BG for block group. Each record is labeled with the code and name of the city and county in which it is located so that the data can be summarized to higher-level geography. The last part of the file name describes the contents . The GEO file contains standard Census Bureau geographic identifiers for each block group, such as the metropolitan area code and congressional district code. The only data included in this table is total population and total housing units. POP1 and POP2 contain selected population variables and selected housing items are in the HU file. The MA05 table data is only for use by State CDBG grantees for the reporting of the racial composition of beneficiaries of Area Benefit activities. The complete package for a state consists of the dictionary file named TABLES, and the five data files for the state. The logical record number (LOGRECNO) links the records across tables.

Analysis unit

Persons and households

UNITS IDENTIFIED: - Dwellings: no - Vacant Units: No - Households: yes - Individuals: yes - Group quarters: no

UNIT DESCRIPTIONS: - Dwellings: no - Households: One person living alone, or any number of persons living together under one roof, and having their food provided together - Group quarters: no

Universe

The population legally domiciled within the territory, including temporarily absent persons

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: Department of Agriculture, Census Branch

SAMPLE SIZE (person records): 62276.

SAMPLE DESIGN: Stratified, random sample drawn by data producers. More information about the sample design is available

Mode of data collection

Face-to-face [f2f]

Research instrument

Single household enumeration form

According to the official Statement: The first census of water bodies was conducted with the reference year 2017-18 across the country in 33 States/UTs except Daman & Diu, Dadra & Nagar Haveli and Lakshadweep. The objective of the 1st Census of Water Bodies is to have a comprehensive national database of all water bodies by collecting information on all important aspects of the water body including their type, condition, status of encroachments, use, storage capacity, status of filling up of storage etc. The census also took into account all types of uses of water bodies like irrigation, industry, pisciculture, domestic/ drinking, recreation, religious, groundwater recharge etc.

The contributors to this official data creation are Department of Water Resources, River Development & Ganga Rejuvenation.

The dataset is released under National Data Sharing and Accessibility Policy (NDSAP) India

Source - https://data.gov.in/catalog/first-census-water-bodies-data

Abstract

The National Statistics Office (NSO) strives and continues to support government by providing socio-economic statistics for monitoring and evaluation purposes through population censuses. These socio-economic statistics are also made available to other users such as the businesses, the churches, regional and international organizations. One of the main sources of demographic and social-economic statistics in Kiribati is the population and housing census. Kiribati has been carrying out population and housing censuses in a "modern sense" at intervals of about five years since 1985. This 2010 Census is the first census to use the GPS to plot the positions of the households.

The population census is conducted under the Population Census Ordinance CAP 8.

A population census is a fairly large undertaking involving lots of people and a significant budget. It requires elaborate organization and preparation and this is why it is necessary to start the preparations well in advance of the actual enumeration date, say two years or at least a year. Unfortunately, preparations for this 2010 census started less than a year before the enumeration took place. This is basically because of the late approval of funds and the uncertainty as whether the census would go ahead or not.

Geographic coverage

National coverage: meaning the whole population, all households and institutions in all the islands in the Gilbert group, the Line islands and the Phoenix group were covered.

Analysis unit

Individuals and Households.

Universe

The population census enumeration in Kiribati is based on a de-facto basis meaning that people residing only in Kiribati at the time of the census will be counted or enumerated-i.e. those temporary overseas will be excluded.

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire, published in English, is divided into 2 categories as such: -Household and Housing form: Household characteristics, livestocks, capital goods owned, energy, fishing involvement, sanitation, waste management, cash inflow. -Persons form: Individual characteristics, education, literacy, physical activity, fertility, narcotic use, economic activity.

Questionnaire design process: Although the population census questions remain basically the same from census to census there is always a need to review the questionnaire before each census in light of recent developments and changes, and in light of complaints or problems noted in past censuses. For instance, the question on the "internet use" was never asked in the previous censuses because there was no internet or the internet use was very limited in those times, but now the internet is one of the standard household questions because many people are using it. Sometimes it may be necessary to drop off some questions that people are no longer interested in, again to give an example, in the 1990 population 14 census there was a question on the number of ducks and goats, because the agriculture division had brought in some goats in the 1980s to see whether they could be reared here-as it turned out, the goats were becoming more of a nuisance rather than worthwhile household assets, and they were eventually disposed off. The ducks are also on the decline and so the census questionnaires in recent censuses do not incorporate them anymore. Sometimes the questions are reviewed to ensure that the enumerators and the respondents fully understand them. Usually there is a committee or task force set up to review and finalize the questionnaires. For the 2010 population census project a workshop to review the questionnaire was conducted in August 2010 for three days. The participants include officials from different government ministries and representatives of non-government bodies. The 2005 census questionnaire was used as the initial template and as the basis of the discussion.

To access the full Questionnaire please refer to the external resources of this documentation.

Cleaning operations

The census commissioner went to SPC, in Noumea, in August 2011 to clean up the datafile, do some initial census tabulations, and start some analysis. Data processing was done using CSPro software.

Response rate

not applicable

The 2005 First Edition TIGER/Line files are an extract of selected geographic and cartographic information from the Census TIGER database. The geographic coverage for a single TIGER/Line file is a county or statistical equivalent entity, with the coverage area based on the latest available governmental unit boundaries. The Census TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each county-based TIGER/Line file is designed to stand alone as an independent data set or the files can be combined to cover the whole Nation. The 2005 First Edition 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. There are 19 record types, including the basic data record, the shape coordinate points, and geographic codes that can be used with appropriate software to prepare maps. Other geographic information contained in the files includes attributes such as feature identifiers/census feature class codes (CFCC) used to differentiate feature types, address ranges and ZIP Codes, codes for legal and statistical entities, latitude/longitude coordinates of linear and point features, landmark point features, area landmarks, and area boundaries.

Normalized 2020 and 2050 First Street flood risk data aggregated at the census-tract level. A lower number indicates less risk (0 is minimum) and a higher number indicates more risk (1 is maximum). The normalization process subtracts the mean from the local value and divides it by the standard deviation: ((tract_value - overall mean) / stand_dev). The overall mean is the national average of all census tracts.

If you are interested in acquiring First Street flood data, you can request to access the data here. More information on First Street's flood risk statistics can be found here and information on First Street's hazards can be found here.

The list includes 4,250 first names and information on their respective count and proportions across six mutually exclusive racial and Hispanic origin groups. These six categories are consistent with the categories used in the Census Bureau's surname list.

Forest censuses from the Nouragues research station, CNRS, French Guiana, in the Guyafor network. This dataset gathered trees location, botanical identification and size measurement from the 1992-94 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities. Guyafor Data Dictionary

Historical population as enumerated and corrected from 1790 through 2020. North Carolina was one of the 13 original States and by the time of the 1790 census had essentially its current boundaries. The Census is mandated by the United States Constitution and was first completed for 1790. The population has been counted every ten years hence, with some limitations. In 1790 census coverage included most of the State, except for areas in the west, parts of which were not enumerated until 1840. The population for 1810 includes Walton County, enumerated as part of Georgia although actually within North Carolina. Historical populations shown here reflect the population of the respective named county and not necessarily the population of the area of the county as it was defined for a particular census. County boundaries shown in maps reflect boundaries as defined in 2020. Historic boundaries for some counties may include additional geographic areas or may be smaller than the current geographic boundaries. Notes below list the county or counties with which the population of a currently defined county were enumerated historically (Current County: Population counted in). The current 100 counties have been in place since the 1920 Census, although some modifications to the county boundaries have occurred since that time. For historical county boundaries see: Atlas of Historical County Boundaries Project (newberry.org)County Notes: Note 1: Total for 1810 includes population (1,026) of Walton County, reported as a Georgia county but later determined to be situated in western North Carolina. Total for 1890 includes 2 Indians in prison, not reported by county. Note 2: Alexander: *Iredell, Burke, Wilkes. Note 3: Avery: *Caldwell, Mitchell, Watauga. Note 4: Buncombe: *Burke, Rutherford; see also note 22. Note 5: Caldwell: *Burke, Wilkes, Yancey. Note 6: Cleveland: *Rutherford, Lincoln. Note 7: Columbus: *Bladen, Brunswick. Note 8: Dare: *Tyrrell, Currituck, Hyde. Note 9: Hoke: *Cumberland, Robeson. Note 10: Jackson: *Macon, Haywood. Note 11: Lee: *Moore, Chatham. Note 12: Lenoir: *Dobbs (Greene); Craven. Note 13: McDowell: *Burke, Rutherford. Note 14: Madison: *Buncombe, Yancey. Note 15: Mitchell: *Yancey, Watauga. Note 16: Pamlico: *Craven, Beaufort. Note 17: Polk: *Rutherford, Henderson. Note 18: Swain: *Jackson, Macon. Note 19: Transylvania: *Henderson, Jackson. Note 20: Union: *Mecklenburg, Anson. Note 21: Vance: *Granville, Warren, Franklin. Note 22: Walton: Created in 1803 as a Georgia county and reported in 1810 as part of Georgia; abolished after a review of the State boundary determined that its area was located in North Carolina. By 1820 it was part of Buncombe County. Note 23: Watauga: *Ashe, Yancey, Wilkes; Burke. Note 24: Wilson: *Edgecombe, Nash, Wayne, Johnston. Note 25: Yancey: *Burke, Buncombe. Note 26: Alleghany: *Ashe. Note 27: Haywood: *Buncombe. Note 28: Henderson: *Buncombe. Note 29: Person: Caswell. Note 30: Clay: Cherokee. Note 31: Graham: Cherokee. Note 32: Harnett: Cumberland. Note 33: Macon: Haywood.

Note 34: Catawba: Lincoln. Note 35: Gaston: Lincoln. Note 36: Cabarrus: Mecklenburg.
Note 37: Stanly: Montgomery. Note 38: Pender: New Hanover. Note 39: Alamance: Orange.
Note 40: Durham: Orange, Wake. Note 41: Scotland: Richmond. Note 42: Davidson: Rowan. Note 43: Davie: Rowan.Note 44: Forsyth: Stokes. Note 45: Yadkin: Surry.
Note 46: Washington: Tyrrell.Note 47: Ashe: Wilkes. Part III. Population of Counties, Earliest Census to 1990The 1840 population of Person County, NC should be 9,790. The 1840 population of Perquimans County, NC should be 7,346.

The 1915 Iowa State Census is a unique document. It was the first census in the United States to include information on education and income prior to the United States Federal Census of 1940. It contains considerable detail on other aspects of individuals and households, e.g., religion, wealth and years in the United States and Iowa. The Iowa State Census of 1915 was a complete sample of the residents of the state and the returns were written by census takers (assessors) on index cards. These cards were kept in the Iowa State Archives in Des Moines and were microfilmed in 1986 by the Genealogical Society of Salt Lake City. The census cards were sorted by county, although large cities (those having more than 25,000 residents) were grouped separately. Within each county or large city, records were alphabetized by last name and within last name by first name. This data set includes individual-level records for three of the largest Iowa cities (Des Moines, Dubuque, and Davenport; the Sioux City films were unreadable) and for ten counties that did not contain a large city. (Additional details on sample selection are available in the documentation). Variables include name, age, place of residence, earnings, education, birthplace, religion, marital status, race, occupation, military service, among others. Data on familial ties between records are also included.

Forest censuses from the Nouragues research station, CNRS, French Guiana, in the Guyafor network. This dataset gathered trees location, botanical identification and size measurement from the 2005 census. The mission of the Nouragues research Station is to foster scientific research in tropical rain forests, at a site remote from major human activities. Guyafor Data Dictionary

NOTE: Data based on a sample except in P3, P4, H3, and H4. For.information on confidentiality protection, sampling error,.nonsampling error, definitions, and count corrections see.http://www.census.gov/prod/cen2000/doc/slds.pdf

Abstract

Like all former British Caribbean colonies, Antigua and Barbuda has a long history of census taking dating back to the nineteenth century. The first systematic attempts to estimate the size of the populations were made in the early nineteenth century through the system of Slave Registration. Established partly to prevent the clandestine movements of slaves between colonies and partly in the interest of securing better treatment for them, the system produced triennial estimates beginning in 1817 and continued until the abolition of slavery.The first census was taken in 1841. Beginning in 1851, there were five decennial censuses conducted between 1851 and 1891. The earliest twentieth century census was conducted in 1911. Censuses were conducted in 1921 and 1946 and in 1960 and 1970. In Antigua and Barbuda censuses were conducted as part of the regional programme in the spirit of the United Nations’ decision that a census should be taken every ten years and preferably in the year ending in ‘0’. No census was conducted in the 1980’s. The most recent exercises were conducted in 1991 and in 2001.

Geographic coverage

National

Analysis unit

• Individuals;
• Household.

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Brazil conducted its first nationwide census in 1872; this census gave total populations of 4.2 million free non-whites, 1.5 million slave non-whites, and 3.8 million whites. Indigenous people and those of mixed indigenous descent were largely excluded from the census, although an overall figure of 0.4 million was given for the entire country. These figures combined to give a total of 9.9 million (modern UN estimates put the total at 10.3 million in 1872; likely due to the census' exclusion of many non-white infants).

The state of Minas Gerais had the largest population, at over two million people, with the neighboring states of Bahia and Rio de Janeiro with the second and third largest populations respectively. East Brazil was the region with the largest population, followed by the northeast and then south. In terms of ethnicity, non-whites outnumbered white people in every region except for the south, and free people of color outnumbered slaves in every state except for Rio de Janeiro.

Early Postwar Canadian Census Data Creation Project Files. Contains digitized census tract boundary files and associated tabular data, with codebooks, for Census years 1951, 1956, 1961, and 1966.

Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, the decennial census is the official source of population totals for April 1st of each decennial year. In between censuses, the Census Bureau's Population Estimates Program produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units and the group quarters population for states and counties..Information about the American Community Survey (ACS) can be found on the ACS website. Supporting documentation including code lists, subject definitions, data accuracy, and statistical testing, and a full list of ACS tables and table shells (without estimates) can be found on the Technical Documentation section of the ACS website.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2019-2023 American Community Survey 5-Year Estimates.ACS data generally reflect the geographic boundaries of legal and statistical areas as of January 1 of the estimate year. For more information, see Geography Boundaries by Year..Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..Users must consider potential differences in geographic boundaries, questionnaire content or coding, or other methodological issues when comparing ACS data from different years. Statistically significant differences shown in ACS Comparison Profiles, or in data users' own analysis, may be the result of these differences and thus might not necessarily reflect changes to the social, economic, housing, or demographic characteristics being compared. For more information, see Comparing ACS Data..Respondents could report more than one major for their bachelor's degree. This table only counts the first major that was reported and does not necessarily reflect the first degree earned..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on 2020 Census data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.

Data on first official language spoken, language spoken most often at home, age and gender for the population excluding institutional residents for census metropolitan areas, tracted census agglomerations and census tracts.