This dataset includes all individuals from the 1860 US census.
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This dataset was developed through a collaboration between the Minnesota Population Center and the Church of Jesus Christ of Latter-Day Saints. The data contain demographic variables, economic variables, migration variables and race variables. Unlike more recent census datasets, pre-1900 census datasets only contain individual level characteristics and no household or family characteristics, but household and family identifiers do exist.
The official enumeration day of the 1860 census was 1 June 1860. The main goal of an early census like the 1860 U.S. census was to allow Congress to determine the collection of taxes and the appropriation of seats in the House of Representatives. Each district was assigned a U.S. Marshall who organized other marshals to administer the census. These enumerators visited households and recorder names of every person, along with their age, sex, color, profession, occupation, value of real estate, place of birth, parental foreign birth, marriage, literacy, and whether deaf, dumb, blind, insane or “idiotic”.
Sources: Szucs, L.D. and Hargreaves Luebking, S. (1997). Research in Census Records, The Source: A Guidebook of American Genealogy. Ancestry Incorporated, Salt Lake City, UT Dollarhide, W.(2000). The Census Book: A Genealogist’s Guide to Federal Census Facts, Schedules and Indexes. Heritage Quest, Bountiful, UT
The Integrated Public Use Microdata Series (IPUMS) Complete Count Data include more than 650 million individual-level and 7.5 million household-level records. The microdata are the result of collaboration between IPUMS and the nation’s two largest genealogical organizations—Ancestry.com and FamilySearch—and provides the largest and richest source of individual level and household data.
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We will check your cell sizes and citations.
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Historic data are scarce and often only exists in aggregate tables. The key advantage of historic US census data is the availability of individual and household level characteristics that researchers can tabulate in ways that benefits their specific research questions. The data contain demographic variables, economic variables, migration variables and family variables. Within households, it is possible to create relational data as all relations between household members are known. For example, having data on the mother and her children in a household enables researchers to calculate the mother’s age at birth. Another advantage of the Complete Count data is the possibility to follow individuals over time using a historical identifier.
In sum: the historic US census data are a unique source for research on social and economic change and can provide population health researchers with information about social and economic determinants.
The historic US 1920 census data was collected in January 1920. Enumerators collected data traveling to households and counting the residents who regularly slept at the household. Individuals lacking permanent housing were counted as residents of the place where they were when the data was collected. Household members absent on the day of data collected were either listed to the household with the help of other household members or were scheduled for the last census subdivision.
Notes
We provide household and person data separately so that it is convenient to explore the descriptive statistics on each level. In order to obtain a full dataset, merge the household and person on the variables SERIAL and SERIALP. In order to create a longitudinal dataset, merge datasets on the variable HISTID.
Households with more than 60 people in the original data were broken up for processing purposes. Every person in the large households are considered to be in their own household. The original large households can be identified using the variable SPLIT, reconstructed using the variable SPLITHID, and the original count is found in the variable SPLITNUM.
Coded variables derived from string variables are still in progress. These variables include: occupation and industry.
Missing observations have been allocated and some inconsistencies have been edited for the following variables: SPEAKENG, YRIMMIG, CITIZEN, AGE, BPL, MBPL, FBPL, LIT, SCHOOL, OWNERSHP, MORTGAGE, FARM, CLASSWKR, OCC1950, IND1950, MARST, RACE, SEX, RELATE, MTONGUE. The flag variables indicating an allocated observation for the associated variables can be included in your extract by clicking the ‘Select data quality flags’ box on the extract summary page.
Most inconsistent information was not edited for this release, thus there are observations outside of the universe for some variables. In particular, the variables GQ, and GQTYPE have known inconsistencies and will be improved with the next release.
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This dataset was created on 2020-01-10 18:46:34.647
by merging multiple datasets together. The source datasets for this version were:
IPUMS 1920 households: This dataset includes all households from the 1920 US census.
IPUMS 1920 persons: This dataset includes all individuals from the 1920 US census.
IPUMS 1920 Lookup: This dataset includes variable names, variable labels, variable values, and corresponding variable value labels for the IPUMS 1920 datasets.
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PARES Dataset v2 PARES (PArish REcord Survey) contains 535 images of handwritten census tables for years ranging from around 1650 A.D. until 1850 A.D..They come from two French cities, Vic-sur-Seille (French department of Moselle) and Echevronne (French department of Côte d'Or). While they mention very ancient times, the documents are handwritten transcriptions of even older documents and are quite recent, copied from original documents during the 1950's and 1960's for demographic studies led by the INED in France (Institut National des études démographiques − National Institute for Demographic Studies). These copies were made by only a few different writers. The documents are damaged and exhibit different types of degradations. We identified seven different document categories we call C1 to C7. C1 and C3 are generally high-quality documents, without serious damage, consisting of about 90% of the dataset. Other categories include highly damaged documents or documents with specificities. A notable aspect of this dataset is that the records are written using only two different physical paper templates. Categories n°1, 2, 3, 6 and 7 have 25 recordings while the categories 4 and 5 are higher and can record up to 35 recordings. C4 and C5 are the larger templates and differ from the rest of the documents. We published a paper, Text Line Detection in Historical Index Tables: Evaluations on a New French PArish REcord Survey Dataset (PARES), in which we better describe the dataset and the tasks it's possible to run on it.
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Historical population counts for municipalities in the State of Vermont (1791-2020) compiled by the Vermont Historical Society (years 1791-2010) then appended with 2020 Census counts.An attempt was made to convert counts to current town names to allow for analyses of population change of an area over time. The Historical Society notes, “For example, the census numbers from Kellyvale are counted as the town of Lowell because the name was changed in 1831. Cabot is included in Washington County records, even though it was in Caledonia County through the 1850 census.” This does create some issues where there are changes in geography such as boundary changes, annexations, and new incorporations (such as Rutland City splitting off from Rutland Town).The Historical Society collected the data from a variety of sources.The 1791-2010 data was extracted from PDF’s by VCGI Open Data Fellow Kendal Fortney in 2017.
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Mexico Population: Census: 50 to 54 Yrs Old data was reported at 6,155.306 Person th in 2015. This records an increase from the previous number of 5,064.291 Person th for 2010. Mexico Population: Census: 50 to 54 Yrs Old data is updated yearly, averaging 2,896.049 Person th from Dec 1950 (Median) to 2015, with 9 observations. The data reached an all-time high of 6,155.306 Person th in 2015 and a record low of 828.126 Person th in 1950. Mexico Population: Census: 50 to 54 Yrs Old data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G002: Population: Census.
Monthly Population Estimates by Universe, Age, Sex, Race, and Hispanic Origin for the United States: April 1, 2010 to December 1, 2016 // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through June. // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. Responses of 'Some Other Race' from the 2010 Census are modified. This results in differences between the population for specific race categories shown for the 2010 Census population in this file versus those in the original 2010 Census data. For more information, see https://www.census.gov/popest/data/historical/files/MRSF-01-US1.pdf. // The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. // Persons on active duty in the Armed Forces were not enumerated in the 2010 Census. Therefore, variables for the 2010 Census civilian, civilian noninstitutionalized, and resident population plus Armed Forces overseas populations cannot be derived and are not available on these files. // For detailed information about the methods used to create the population estimates, see https://www.census.gov/popest/methodology/index.html. // Each year, the Census Bureau's Population Estimates Program (PEP) utilizes current data on births, deaths, and migration to calculate population change since the most recent decennial census, and produces a time series of estimates of population. The annual time series of estimates begins with the most recent decennial census data and extends to the vintage year. The vintage year (e.g., V2015) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the Census Bureau revises estimates for years back to the last census. As each vintage of estimates includes all years since the most recent decennial census, the latest vintage of data available supersedes all previously produced estimates for those dates. The Population Estimates Program provides additional information including historical and intercensal estimates, evaluation estimates, demographic analysis, and research papers on its website: https://www.census.gov/popest/index.html
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The Home Owners’ Loan Corporation (HOLC) was a U.S. federal agency that graded mortgage investment risk of neighborhoods across the U.S. between 1935 and 1940. HOLC residential security maps standardized neighborhood risk appraisal methods that included race and ethnicity, pioneering the institutional logic of residential “redlining.” The Mapping Inequality Project digitized the HOLC mortgage security risk maps from the 1930s. We overlaid the HOLC maps with 2010 and 2020 census tracts for 142 cities across the U.S. using ArcGIS and determined the proportion of HOLC residential security grades contained within the boundaries. We assigned a numerical value to each HOLC risk category as follows: 1 for “A” grade, 2 for “B” grade, 3 for “C” grade, and 4 for “D” grade. We calculated a historic redlining score from the summed proportion of HOLC residential security grades multiplied by a weighting factor based on area within each census tract. A higher score means greater redlining of the census tract. Continuous historic redlining score, assessing the degree of “redlining,” as well as 4 equal interval divisions of redlining, can be linked to existing data sources by census tract identifier allowing for one form of structural racism in the housing market to be assessed with a variety of outcomes. The 2010 files are set to census 2010 tract boundaries. The 2020 files use the new census 2020 tract boundaries, reflecting the increase in the number of tracts from 12,888 in 2010, to 13,488 in 2020. Use the 2010 HRI with decennial census 2010 or ACS 2010-2019 data. As of publication (10/15/2020) decennial census 2020 data for the P1 (population) and H1 (housing) files are available from census. Updated (8/9/2023) - The Historic Redlining Score has been renamed the Historic Redlining Indicator or HRI. The HRI has also been calculated for Census 2000 boundaries.
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Mexico Population: Census: 45 to 49 Yrs Old data was reported at 6,814.143 Person th in 2015. This records an increase from the previous number of 5,928.730 Person th for 2010. Mexico Population: Census: 45 to 49 Yrs Old data is updated yearly, averaging 3,612.452 Person th from Dec 1950 (Median) to 2015, with 9 observations. The data reached an all-time high of 6,814.143 Person th in 2015 and a record low of 1,073.549 Person th in 1950. Mexico Population: Census: 45 to 49 Yrs Old data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G002: Population: Census.
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Context
The dataset tabulates the Old Mill Creek population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Old Mill Creek. The dataset can be utilized to understand the population distribution of Old Mill Creek by age. For example, using this dataset, we can identify the largest age group in Old Mill Creek.
Key observations
The largest age group in Old Mill Creek, IL was for the group of age 70-74 years with a population of 38 (19.90%), according to the 2021 American Community Survey. At the same time, the smallest age group in Old Mill Creek, IL was the 85+ years with a population of 2 (1.05%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.
Age groups:
Variables / Data Columns
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
This dataset is a part of the main dataset for Old Mill Creek Population by Age. You can refer the same here
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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U.S. Census Bureau QuickFacts statistics for Old Greenwich CDP, Connecticut. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.
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Mexico Population: Census: Male: 70 to 74 Yrs Old data was reported at 1,026.937 Person th in 2015. This records an increase from the previous number of 873.893 Person th for 2010. Mexico Population: Census: Male: 70 to 74 Yrs Old data is updated yearly, averaging 521.069 Person th from Dec 1950 (Median) to 2015, with 9 observations. The data reached an all-time high of 1,026.937 Person th in 2015 and a record low of 113.574 Person th in 1950. Mexico Population: Census: Male: 70 to 74 Yrs Old data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G002: Population: Census.
The percent of persons, out of all persons living in an area, aged 25 to 64 years. Source: U.S. Bureau of the Census, American Community SurveyYears Available: 2006-2010, 2011-2015, 2012-2016, 2013-2017, 2014-2018, 2015-2019, 2017-2021, 2018-2022, 2019-2023Please note: We do not recommend comparing overlapping years of data due to the nature of this dataset. For more information, please visit: https://www.census.gov/programs-surveys/acs/guidance/comparing-acs-data.html
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Mexico Population: Census: Male: 15 to 19 Yrs Old data was reported at 5,411.572 Person th in 2015. This records a decrease from the previous number of 5,520.121 Person th for 2010. Mexico Population: Census: Male: 15 to 19 Yrs Old data is updated yearly, averaging 4,909.648 Person th from Dec 1950 (Median) to 2015, with 9 observations. The data reached an all-time high of 5,520.121 Person th in 2010 and a record low of 1,248.617 Person th in 1950. Mexico Population: Census: Male: 15 to 19 Yrs Old data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G002: Population: Census.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Context
The dataset tabulates the Old Field population by gender and age. The dataset can be utilized to understand the gender distribution and demographics of Old Field.
The dataset constitues the following two datasets across these two themes
Good to know
Margin of Error
Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.
Custom data
If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.
Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.
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Ecuador Population: Census: Female: Age: 40 to 44 Years Old data was reported at 419,772.000 Person in 2010. This records an increase from the previous number of 341,694.000 Person for 2001. Ecuador Population: Census: Female: Age: 40 to 44 Years Old data is updated yearly, averaging 341,694.000 Person from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 419,772.000 Person in 2010 and a record low of 221,314.000 Person in 1990. Ecuador Population: Census: Female: Age: 40 to 44 Years Old data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Ecuador – Table EC.G002: Population: Census.
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Ecuador Population: Census: Age: 40 to 44 Years Old data was reported at 819,002.000 Person in 2010. This records an increase from the previous number of 673,871.000 Person for 2001. Ecuador Population: Census: Age: 40 to 44 Years Old data is updated yearly, averaging 673,871.000 Person from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 819,002.000 Person in 2010 and a record low of 441,955.000 Person in 1990. Ecuador Population: Census: Age: 40 to 44 Years Old data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Ecuador – Table EC.G002: Population: Census.
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Ecuador Population: Census: Age: 1 to 4 Years Old data was reported at 1,202,320.000 Person in 2010. This records an increase from the previous number of 1,099,651.000 Person for 2001. Ecuador Population: Census: Age: 1 to 4 Years Old data is updated yearly, averaging 1,099,651.000 Person from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 1,202,320.000 Person in 2010 and a record low of 1,011,967.000 Person in 1990. Ecuador Population: Census: Age: 1 to 4 Years Old data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Ecuador – Table EC.G002: Population: Census.
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Ecuador Population: Census: Female: Age: 60 to 64 Years Old data was reported at 204,345.000 Person in 2010. This records an increase from the previous number of 149,734.000 Person for 2001. Ecuador Population: Census: Female: Age: 60 to 64 Years Old data is updated yearly, averaging 149,734.000 Person from Dec 1990 (Median) to 2010, with 3 observations. The data reached an all-time high of 204,345.000 Person in 2010 and a record low of 102,714.000 Person in 1990. Ecuador Population: Census: Female: Age: 60 to 64 Years Old data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Ecuador – Table EC.G002: Population: Census.
Estimates of London's population between 1801 and 2001 (persons present 1801 to 1991 and residents for 2001 onwards) derived from historic Census data.
Sources: years to 1971 - Greater London Council Research Memorandum 413, The Changing Population of the London Boroughs; 1981 Census Small Area Statistics, Table 1; 1991 Census Small Area Statistics, Table 1. Figure for Year-1939 is a mid-year estimate for the year 1939. Figure for Year-2001 onwards is the number of residents because the number of persons present is not available from 2001. Note that totals for Greater London may not match due to rounding errors. Figures are estimates to the nearest thousand.
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Mexico Population: Census: 15 to 19 Yrs Old data was reported at 10,772.297 Person th in 2015. This records a decrease from the previous number of 11,026.112 Person th for 2010. Mexico Population: Census: 15 to 19 Yrs Old data is updated yearly, averaging 9,992.135 Person th from Dec 1950 (Median) to 2015, with 9 observations. The data reached an all-time high of 11,026.112 Person th in 2010 and a record low of 2,632.191 Person th in 1950. Mexico Population: Census: 15 to 19 Yrs Old data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G002: Population: Census.
This dataset includes all individuals from the 1860 US census.
All manuscripts (and other items you'd like to publish) must be submitted to
phsdatacore@stanford.edu for approval prior to journal submission.
We will check your cell sizes and citations.
For more information about how to cite PHS and PHS datasets, please visit:
https:/phsdocs.developerhub.io/need-help/citing-phs-data-core
This dataset was developed through a collaboration between the Minnesota Population Center and the Church of Jesus Christ of Latter-Day Saints. The data contain demographic variables, economic variables, migration variables and race variables. Unlike more recent census datasets, pre-1900 census datasets only contain individual level characteristics and no household or family characteristics, but household and family identifiers do exist.
The official enumeration day of the 1860 census was 1 June 1860. The main goal of an early census like the 1860 U.S. census was to allow Congress to determine the collection of taxes and the appropriation of seats in the House of Representatives. Each district was assigned a U.S. Marshall who organized other marshals to administer the census. These enumerators visited households and recorder names of every person, along with their age, sex, color, profession, occupation, value of real estate, place of birth, parental foreign birth, marriage, literacy, and whether deaf, dumb, blind, insane or “idiotic”.
Sources: Szucs, L.D. and Hargreaves Luebking, S. (1997). Research in Census Records, The Source: A Guidebook of American Genealogy. Ancestry Incorporated, Salt Lake City, UT Dollarhide, W.(2000). The Census Book: A Genealogist’s Guide to Federal Census Facts, Schedules and Indexes. Heritage Quest, Bountiful, UT