The 1950 Census population schedules were created by the Bureau of the Census in an attempt to enumerate every person living in the United States on April 1, 1950, although some persons were missed. The 1950 census population schedules were digitized by the National Archives and Records Administration (NARA) and released publicly on April 1, 2022. The 1950 Census enumeration district maps contain maps of counties, cities, and other minor civil divisions that show enumeration districts, census tracts, and related boundaries and numbers used for each census. The coverage is nation wide and includes territorial areas. The 1950 Census enumeration district descriptions contain written descriptions of census districts, subdivisions, and enumeration districts.

Real enumeration district (ED) overlap with virtual enumeration districts.

This file contains the digital vector boundaries for the Enumeration Districts in England and Wales as at 1981.

Contains both Ordnance Survey and ONS Intellectual Property Rights.

REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/ED_1981_EW/FeatureServer REST URL of WFS Server – https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/ED_1981_EW/WFSServer?service=wfs&request=getcapabilities

REST URL of MapServer – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/ED_1981_EW/MapServer

REST URL of WFS Server – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/ED_1971_EW/FeatureServer REST URL of WFS Server – https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/ED_1971_EW/WFSServer?service=wfs&request=getcapabilities REST URL of MapServer – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/ED_1971_EW/MapServer

Voting district (VTD) is a generic term adopted by the Bureau of the Census to include the wide variety of small polling areas, such as election districts, precincts, or wards, that State and local governments create for the purpose of administering elections. Some States also use groupings of these entities to define their State and local legislative districts, as well as the districts they define for election of members to the U.S. House of Representatives. In a nationwide cooperative program for the 1980 census, the Census Bureau gave States the opportunity to request use of these election precinct boundaries as the boundaries of census enumeration districts (EDs) or, in some areas, census blocks. The Census Bureau began using the term voting districts as it began planning for the 1990 census. This chapter describes the events that led to the development of the VTD program for the 1980 and 1990 censuses, and briefly explains the operations and procedures the Census Bureau used to implement the program.

This file is a listing of 1981 Enumeration District names and codes in England and Wales. (File Size - 11 MB)Field Names - ED81CD, ED81CDO, WD81CD, WD81NM, LAD81CD, LAD81NM, CTY81CD, CTY81NM, CTRY81CD, CTRY81NMField Types - Text, Text, Text, Text, Text, Text, Text, Text, Text, TextField Lengths - 12, 8, 6, 32, 7, 25, 2, 28, 1, 7

ArcGIS shapefile of 1194 polygons providing boundary and attribute data for the 624 registration districts of England and Wales as given in the 1851 census.These data were created as part of a research program directed by Leigh Shaw-Taylor and Tony Wrigley, which aims ultimately to reconstruct the evolution of the occupational structure of Britain from the late medieval period down to the early twentieth century. This shapefile derives from the 173 digital maps of the boundaries of English and Welsh parishes and their subdivisions produced by Roger Kain and Richard Oliver based on the listing in the 1851 census. The maps were subsequently converted into a single GIS by Burton et al. The Burton et al GIS data were checked, edited and enhanced with extra data from the census by Max Satchell, Tony Wrigley and a small army of research assistants with technical support from Peter Kitson and Gill Newton. Max Satchell checked and in some cases digitised GIS polygon data using a variety of cartographic and documentary sources. Of these the most important were digital scans of the Ordnance Survey first edition 1:2500 and 1:10560 maps from the Landmark Group distributed by Edina , the series of maps of registration districts and sub-districts boundaries prepared for the Registrar General prior to the censuses of 1861, 1871 and 1891 and the description of enumeration district boundaries given in the Census Enumerators Books for the censuses from 1851, 1861 and 1871. The 1:63,360 maps and Census Enumerators Books are held in The National Archives, Kew (TNA, RG 18/3-155, 198-227, HO 107, RG 9, RG 10).

HOLC Frequency in real and virtual enumeration districts.

ArcGIS shapefile of 245polygons providing boundary and attribute data for the 55 registration counties of England and Wales as given in the 1851 census. These data were created as part of a research program directed by Leigh Shaw-Taylor and Tony Wrigley, which aims ultimately to reconstruct the evolution of the occupational structure of Britain from the late medieval period down to the early twentieth century. This shapefile derives from the 173 digital maps of the boundaries of English and Welsh parishes and their subdivisions produced by Roger Kain and Richard Oliver based on the listing in the 1851 census. The maps were subsequently converted into a single GIS by Burton et al. The Burton et al GIS data were checked, edited and enhanced with extra data from the census by Max Satchell, Tony Wrigley and a small army of research assistants with technical support from Peter Kitson and Gill Newton. Max Satchell checked and in some cases digitised GIS polygon data using a variety of cartographic and documentary sources. Of these the most important were digital scans of the Ordnance Survey first edition 1:2500 and 1:10560 maps from the Landmark Group distributed by Edina , the series of maps of registration districts and sub-districts boundaries prepared for the Registrar General prior to the censuses of 1861, 1871 and 1891 and the description of enumeration district boundaries given in the Census Enumerators Books for the censuses from 1851, 1861 and 1871. The 1:63,360 maps and Census Enumerators Books are held in The National Archives, Kew (TNA, RG 18/3-155, 198-227, HO 107, RG 9, RG 10).

ArcGIS shapefile of 3,316 polygons providing boundary and attribute data for the 2182 registration subdistricts of England and Wales as given in the 1851 census. These data derive from the 173 digital maps of the boundaries of English and Welsh parishes and their subdivisions produced by Roger Kain and Richard Oliver based on the listing in the 1851 census.These data were created as part of a research program directed by Leigh Shaw-Taylor and Tony Wrigley, which aims ultimately to reconstruct the evolution of the occupational structure of Britain from the late medieval period down to the early twentieth century. These data derive from the 173 digital maps of the boundaries of English and Welsh parishes and their subdivisions produced by Roger Kain and Richard Oliver based on the listing in the 1851 census. The maps were subsequently converted into a single GIS by Burton et al. The GIS attribute data were checked, edited and enhanced with extra data from the census by Max Satchell, Tony Wrigley and a small army of research assistants with technical support from Peter Kitson and Gill Newton. Max Satchell checked and in some cases digitised GIS polygon data using a variety of cartographic and documentary sources. Of these the most important were digital scans of the Ordnance Survey first edition 1:2500 and 1:10560 maps from the Landmark Group distributed by Edina , the series of maps of registration districts and subdistricts boundaries prepared for the Registrar General prior to the censuses of 1861, 1871 and 1891 and the description of enumeration district boundaries given in the Census Enumerators Books for the censuses from 1851, 1861 and 1871. The 1:63,360 maps and Census Enumerators Books are held in The National Archives, Kew (TNA, RG 18/3-155, 198-227, HO 107, RG 9, RG 10).

This data set contains the Australian Bureau of Statistics population data for Australian states and territories. Population data was collected as part of national census’ in 1991, 1996, 2001, 2006 and 2011. Data presented is the total population for all collection districts by place of enumeration. District Boundaries differed for each census and therefore were re-projected onto the 2011 population mesh blocks to standardise the spatial extent of the reporting areas. Given the focus of this project, population data was clipped by a 50km coastal buffer. Note: population data for census’ 1991 – 1996 - 2001 was purchased by NESP and is made publically available through by NESP Note: population data for 2006 and 2011 was downloaded through the ABS webportal. http://www.abs.gov.au/websitedbs/censushome.nsf/home/tablebuilder?opendocument&navpos=240 Note. 2006 Census district boundaries were downloaded from the ABS website http://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/2919.0.55.001Main+Features1Aug%202006?OpenDocument and 2011 population mesh blocks http://www.abs.gov.au/ausstats/abs@.nsf/mf/1270.0.55.001 This data contains geographical information in shape files that represent the population density in Australia, from 1991 to 2011. The data contains the summary polygon, state_code, cd_code19, 91_pop_dat (population count), area and density (in persons per km^2). For other data sets the count will be 96_pop_dat, 2001_pop_dat, 2006_pop_dat and 2011_pop_dat.

The datasets are curated from the Tanzania National Bureau of Statistics (NBS) 2012 Population and Housing Census (PHC) of Tanzania which was preceded by the preparatory geographic work, which involved field visiting of all regions, districts, wards/shehia, villages/mitaa, localities and sub-villages in the country, primarily to create and delineate Enumeration Area boundaries (EAs) so as to produce maps required for census operations. The most important principle followed in delineating an EA was that under no circumstance should an EA overlap the existing administrative boundaries of regions, districts, wards/shehia or villages/mitaa. Adherence to this principle was necessary since the census results were to be presented at the level of these administrative units. The National Bureau of Statistics (NBS) intends to provide a geo-database with spatial and non-spatial information at five levels of geography, to facilitate presentation of data from censuses and other surveys. These levels are regional (level one), district (level two), ward/shehia (level three), villages/mitaa (level four) and enumeration areas (level five). Levels one and two have been put onto the NBS website in June, 2013 for use by various stakeholders, and the web-page will be updated to include other levels of shapefiles when they are ready for use. To learn more, please visit website https://sensa.nbs.go.tz/

The 1986 Census Collection District Master File (CDMF) stores basic counts and associated geographic codes for every collection district (CD) in Australia, for tabulation, field control, processing control and general research purposes, and to facilitate linkage to previous Census data. The data is by CD 1986 boundaries. Periodicity: 5-Yearly.

This data is ABS data (original geographic boundary cat. no. 1261.0.30.001 & census dictionary cat. no. 2102.0) used with permission from the Australian Bureau of Statistics. The tabular data was processed and supplied to AURIN by the Australian Data Archives. The cleaned, high resolution 1986 geographic boundaries are available from data.gov.au.

For more information please refer to the 1986 Census Dictionary.

ArcGIS shapefile of 2433 polygons providing boundary and attribute data for the 1096 hundreds, wapentakes, wards, divisions, liberties and boroughs of England and Wales as given in the 1831 census.These data were created as part of a research program directed by Leigh Shaw-Taylor and Tony Wrigley, which aims ultimately to reconstruct the evolution of the occupational structure of Britain from the late medieval period down to the early twentieth century. The GIS data originates from the 173 digital maps of the boundaries of English and Welsh parishes and their subdivisions produced by Roger Kain and Richard Oliver based on the listing in the 1851 census. The maps were subsequently converted into a single GIS by Burton et al. The GIS attribute data were checked, edited and enhanced with extra data from the census by Max Satchell, Tony Wrigley and a small army of research assistants with technical support from Peter Kitson and Gill Newton. Max Satchell checked and in some cases edited the GIS polygon data using a variety of cartographic and documentary sources. Of these the most important were digital scans of the Ordnance Survey first edition 1:2500 and 1:10560 maps from the Landmark Group distributed by Edina , the series of maps of registration districts and sub-districts boundaries prepared for the Registrar General prior to the censuses of 1861, 1871 and 1891 and the description of enumeration district boundaries given in the Census Enumerators Books for the censuses from 1851, 1861 and 1871. The 1:63,360 maps and Census Enumerators Books are held in The National Archives, Kew (TNA, RG 18/3-155, 198-227, HO 107, RG 9, RG 10). The work involved changing one or more elements of information about place, parish, county, or three figure census number for 2,461 (10.8 per cent) of 22,729 lines of data in the Kain and Oliver GIS. This editing process saw the redigitisation of 644 of the 22,729 polygons, the deletion of 81 polygons, and the digitisation of 525 new polygons. The hundreds data was created as follows. Geoffrey Stanning under the supervision of Peter Kitson added the hundreds as given in the population tables of the 1851 census to each census parish or place as given in the Burton et al GIS. The remainder of the work was done by Max Satchell who systematically checked the hundred of each 1851 administrative unit against the hundred of the same unit as it was given in the enumeration abstract volumes of the 1831 census. The hundred of the unit was then changed to its 1831 designation where necessary. Where the census listed a hundred, wapentake, division, liberty or borough as belonging to a larger unit below the level of the county, such as a lathe, rape, riding division or part, its name is given in the separate column. In some instances a parish or place lay within two or more hundreds in 1831 but was represented by only a single Burton et al polygon. In such situations the polygon was subdivided using a variety of cartographic sources of hundred boundary data where these were available. The most significant of these were those maps of the Ordnance Survey first edition 1:2500 and 1:10560 prepared from 1844 to c.1880 when hundred boundaries were still shown. Maps of boundaries prepared for the Boundary Commissions of 1832 and 1837 were also invaluable for borough boundaries. At the end of this exercise only two out of 23,177 polygons could not be assigned to any hundred, wapentake, division, ward, liberty or borough.

Administrative boundaries utilized to conduct Western Samoa 2011 Population and Housing Census

• Enumeration Area boundaries: specific geographic units used for statistical data collection.
• District boundaries
• Region boundaries

Disclaimer:

Upper level administrative units may slightly differ from the official boundaries. The boundaries, codes and names shown in the datasets do not imply official endorsement or acceptance by SPC.

🇦🇺 호주 English This data set contains the Australian Bureau of Statistics population data for Australian states and territories. Population data was collected as part of national census’ in 1991, 1996, 2001, 2006 and 2011. Data presented is the total population for all collection districts by place of enumeration. District Boundaries differed for each census and therefore were re-projected onto the 2011 population mesh blocks to standardise the spatial extent of the reporting areas. Given the focus of this project, population data was clipped by a 50km coastal buffer. Note: population data for census’ 1991 – 1996 - 2001 was purchased by NESP and is made publically available through by NESP Note: population data for 2006 and 2011 was downloaded through the ABS webportal. http://www.abs.gov.au/websitedbs/censushome.nsf/home/tablebuilder?opendocument&navpos=240 Note. 2006 Census district boundaries were downloaded from the ABS website http://www.abs.gov.au/AUSSTATS/abs@.nsf/Lookup/2919.0.55.001Main+Features1Aug%202006?OpenDocument and 2011 population mesh blocks http://www.abs.gov.au/ausstats/abs@.nsf/mf/1270.0.55.001 This data contains geographical information in shape files that represent the population density in Australia, from 1991 to 2011. The data contains the summary polygon, state_code, cd_code19, 91_pop_dat (population count), area and density (in persons per km^2). For other data sets the count will be 96_pop_dat, 2001_pop_dat, 2006_pop_dat and 2011_pop_dat.

Abstract

The Russia Longitudinal Monitoring Survey (RLMS) is a household-based survey designed to measure the effects of Russian reforms on the economic well-being of households and individuals. In particular, determining the impact of reforms on household consumption and individual health is essential, as most of the subsidies provided to protect food production and health care have been or will be reduced, eliminated, or at least dramatically changed. These effects are measured by a variety of means: detailed monitoring of individuals' health status and dietary intake, precise measurement of household-level expenditures and service utilization, and collection of relevant community-level data, including region-specific prices and community infrastructure data. Data have been collected since 1992.

Geographic coverage

National

Analysis unit

Households and individuals.

Kind of data

Sample survey data [ssd]

Sampling procedure

In Phase II (Rounds V- XX) of the RLMS, a multi-stage probability sample was employed. Please refer to the March 1997 review of the Phase II sample. First, a list of 2,029 consolidated regions was created to serve as PSUs. These were allocated into 38 strata based largely on geographical factors and level of urbanization but also based on ethnicity where there was salient variability. As in many national surveys involving face-to-face interviews, some remote areas were eliminated to contain costs; also, Chechnya was eliminated because of armed conflict. From among the remaining 1,850 regions (containing 95.6 percent of the population), three very large population units were selected with certainty: Moscow city, Moscow Oblast, and St. Petersburg city constituted self-representing (SR) strata. The remaining non-self-representing regions (NSR) were allocated to 35 equal-sized strata. One region was then selected from each NSR stratum using the method "probability proportional to size" (PPS). That is, the probability that a region in a given NSR stratum was selected was directly proportional to its measure of population size.

The NSR strata were designed to have approximately equal sizes to improve the efficiency of estimates. The target population (omitting the deliberate exclusions described above) totaled over 140 million inhabitants. Ideally, one would use the population of eligible households, not the population of individuals. As is often the case, we were obliged to use figures on the population of individuals as a surrogate because of the unavailability of household figures in various regions.

Although the target sample size was set at 4,000, the number of households drawn into the sample was inflated to 4,718 to allow for a nonresponse rate of approximately 15 percent. The number of households drawn from each of the NSR strata was approximately equal (averaging 108), since the strata were of approximately equal size and PPS was employed to draw the PSUs in each one. However, because response rates were expected to be higher in urban areas than in rural areas, the extent of over-sampling varied. This variation accounted for the differences in households drawn across the NSR PSUs. It also accounted for the fact that 940 households were drawn in the three SR strata--more than the 14.6 percent (i.e. 689) that would have been allotted based on strict proportionality.

Since there was no consolidated list of households or dwellings in any of the 38 selected PSUs, an intermediate stage of selection was then introduced, as usual. Professional samplers will recognize that this is actually the first stage of selection in the three SR strata, since those units were selected with certainty. That is, technically, in Moscow, St. Petersburg, and Moscow oblast, the census enumeration districts were the PSUs. However, it was cumbersome to keep making this distinction throughout the description, and researchers followed the normal practice of using the terms "PSU" and "SSU" loosely. Needless to say, in the calculation of design effects, where the distinction is critical, the proper distinction was maintained. The selection of second-stage units (SSUs) differed depending on whether the population was urban (located in cities and "villages of the city type," known as "PGTs") or rural (located in villages). That is, within each selected PSU the population was stratified into urban and rural substrata, and the target sample size was allocated proportionately to the two substrata. For example, if 40 percent of the population in a given region was rural, 40 of the 100 households allotted to the stratum were drawn from villages.

In rural areas of the selected PSUs, a list of all villages was compiled to serve as SSUs. The list was ordered by size and (where salient) by ethnic composition. PPS was employed to select one village for each 10 households allocated to the rural substratum. Again, under the standard principles of PPS, once the required number of villages was selected, an equal number of households in the sample (10) were allocated to each village. Since villages maintain very reliable lists of households, in each selected village the 10 households were selected systematically from the household list. In a few cases, villages were judged to be too small to sustain independent interviews with 10 households; in such cases, three or four tiny villages were treated as a single SSU for sampling purposes.

In urban areas, SSUs were defined by the boundaries of 1989 census enumeration districts, if possible. If the necessary information was not available, 1994 microcensus enumeration districts, voting districts, or residential postal zones were employed--in decreasing order of preference. Since census enumeration districts were originally designed to be roughly equal in population size, one district was selected systematically without using PPS for each 10 households required in the sample. In the few cases where postal zones were used, one zone was likewise selected systematically for each 10 households. However, where voting districts were used, to compensate for the marked variation in population size, PPS was employed to select one voting district for each 10 households required in the urban sub-stratum.

In both urban and rural substrata, interviewers were required to visit each selected dwelling up to three times to secure the interviews. They were not allowed to make substitutions of any sort. The interviewers' first task was to identify households at the designated dwellings. "Household" was defined as a group of people who live together in a given domicile, and who share common income and expenditures. Households were also defined to include unmarried children, 18 years of age or younger, who were temporarily residing outside the domicile at the time of the survey. If perchance the interviewer identified more than one household in the dwelling, he or she was obliged to select one using a procedure outlined in the technical report. The interviewer then administered a household questionnaire to the most knowledgeable and willing member of the household.

The interviewer then conducted interviews with as many adults as possible, acquiring data about their individual activities and health. Data for the children's questionnaires were obtained from adults in the household. By virtue of the fact that an attempt was made to obtain individual questionnaires for all members of households, the sample constitutes a proper probability sample of individuals as well as of households, without any special weighting. Actually, the fact that we did not interview unmarried minors living temporarily outside the domicile slightly diminished the representativeness of the sample of individuals in that age group.

The multivariate distribution of the sample by sex, age, and urban-rural location compared quite well with the corresponding multivariate distribution of the 1989 census. Of course, because of random sampling error and changes in the distribution since the 1989 census, we did not expect perfect correspondence. Nevertheless, there was usually a difference of only one percentage point or less between the two distributions.

Another way to evaluate the adequacy (or efficiency) of the sample was to examine design effects. An important factor in determining the precision of estimates in multi-stage samples was the mean ultimate cluster (PSU) size. All else being equal, the larger the size the less precise the measure is. In Rounds I through IV of the RLMS, the average cluster size approached 360--a large number dictated by constraints imposed by our collaborators. Thus, although the sample size covered around 6,000 households, precision was less than we would have liked for a sample of that size. In Rounds I and III of the RLMS, the 95 percent confidence interval for household income was about ?±13 percent.

In the Phase II (Rounds V - XX) sample, the situation was considerably better. Although there were only 4,000 households, the mean size of clusters was much smaller than in Phase I. There were 35 PSUs with about 100 households each; even this result was an improvement over the average of 360 in the design of the RLMS Rounds I through IV. However, in the three self-representing areas, the respondents were drawn from 61 PSUs. Recall that Moscow city and oblast, as well as St. Petersburg city, were not sampled but were chosen with certainty. Therefore, the first stage of selection in them was the selection of census enumeration districts. Thus the mean cluster size in the entire sample was about 42, i.e., 4,000/(35+61). Given these much smaller cluster sizes, researchers had reason to expect that precision in this survey would be as good as it was in Rounds I through IV despite the smaller sample size, and this expectation, in fact, turned out

NRS first created Output Areas (OAs) for the 1991 Census to allow comparability with small area statistics output from 1971 and 1981. NRS used postcodes to plan 1981 Census enumeration districts and 1991 postcode based OA generally fell within 1981 ED. 1971 small area statistics were retabulated for 1981 Enumeration Districts thus provided an degree on continuity over 3 censuses. OAs are the lowest level for which small area statistics for the 1991 Census are available. For confidentiality purposes each OA has at least 16 households and 50 usual residents. There are 38,254 Census 1991 OAs in Scotland. Of the 38,254 1991 output areas, 38,098 have polygons, the remaining 156 are special output areas. Revisions and Corrections Correction to 1991 Output Area boundaries An anomaly was discovered in the 1991 Output Area boundaries where the boundaries for Output Areas 6341DX13 and 6341DX16B were not following the postcodes that they were built up from.

Administrative boundaries utilized to conduct Nauru 2011 Population and Housing Census

• Enumeration area boundaries: specific geographic units used for statistical data collection.
• District

These administrative boundaries have been used to build the Nauru PopGIS3 online mapping tool https://nauru.popgis.spc.int/. To know more about the PopGIS project please see http://sdd.spc.int/mapping-popgis

Disclaimer:

Upper level administrative units may slightly differ from the official boundaries. The boundaries, codes and names shown in the datasets do not imply official endorsement or acceptance by SPC.

The enumeration area (EA), as the basic geographical unit of census data collection, is the smallest standard geographic area for which census data are normally available. All Standard geographic areas are composed of one or more complete enumeration areas.Reference maps showing EAs are published separately. Enumeration areas (EAs) never cut across any standard geographic areas recognized by the census. Therefore the boundaries and codes of EAs change from census to census, reflecting population shifts, changes to census subdivisions and geographic area boundaries and changes to census representative workload criteria. The 1991 census was taken in accordance with the boundaries of the 195 federal electoral districts (FEDs) identified by the 1987 Representation Order to the Electoral Boundaries Readjustment Act. A federal electoral district (FED) is that area entitled to return a member to serve in the House of Commons. This product provides a profile of enumeration areas (EAs) within federal electoral districts. Part B, provides data collected from a 20% sample of households for the same geographic areas, on characteristics such as home language, ethnic origin, place of birth, education, religion, labour force activity, housing costs, and income.