66 datasets found
  1. 1805-1898 Census Records of Lausanne : a Long Digital Dataset for...

    • zenodo.org
    • data.niaid.nih.gov
    bin, csv
    Updated Mar 21, 2023
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    Remi Petitpierre; Remi Petitpierre; Marion Kramer; Lucas Rappo; Lucas Rappo; Isabella di Lenardo; Isabella di Lenardo; Marion Kramer (2023). 1805-1898 Census Records of Lausanne : a Long Digital Dataset for Demographic History [Dataset]. http://doi.org/10.5281/zenodo.7711640
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    csv, binAvailable download formats
    Dataset updated
    Mar 21, 2023
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Remi Petitpierre; Remi Petitpierre; Marion Kramer; Lucas Rappo; Lucas Rappo; Isabella di Lenardo; Isabella di Lenardo; Marion Kramer
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Lausanne
    Description

    Context. This historical dataset stems from the project of automatic extraction of 72 census records of Lausanne, Switzerland. The complete dataset covers a century of historical demography in Lausanne (1805-1898), which corresponds to 18,831 pages, and nearly 6 million cells.

    Content. The data published in this repository correspond to a first release, i.e. a diachronic slice of one register every 8 to 9 years. Unfortunately, the remaining data are currently under embargo. Their publication will take place as soon as possible, and at the latest by the end of 2023. In the meantime, the data presented here correspond to a large subset of 2,844 pages, which already allows to investigate most research hypotheses.

    Description. The population censuses, digitized by the Archives of the city of Lausanne, continuously cover the evolution of the population in Lausanne throughout the 19th century, starting in 1805, with only one long interruption from 1814 to 1831. Highly detailed, they are an invaluable source for studying migration, economic and social history, and traces of cultural exchanges not only with Bern, but also with France and Italy. Indeed, the system of tracing family origin, specific to Switzerland, allows to follow the migratory movements of families long before the censuses appeared. The bourgeoisie is also an essential economic tracer. In addition, censuses extensively describe the organization of the social fabric into family nuclei, around which gravitate various boarders, workers, servants or apprentices, often living in the same apartment with the family.

    Production. The structure and richness of censuses have also provided an opportunity to develop automatic methods for processing structured documents. The processing of censuses includes several steps, from the identification of text segments to the restructuring of information as digital tabular data, through Handwritten Text Recognition and the automatic segmentation of the structure using neural networks. Please note that the detailed extraction methodology, as well as the complete evaluation of performance and reliability is published in:

    • Petitpierre R., Rappo L., Kramer M. (2023). An end-to-end pipeline for historical censuses processing. International Journal on Document Analysis and Recognition (IJDAR). doi: 10.1007/s10032-023-00428-9

    Data structure. The data are structured in rows and columns, with each row corresponding to a household. Multiple entries in the same column for a single household are separated by vertical bars 〈|〉. The center point 〈·〉 indicates an empty entry. For some columns (e.g., street name, house number, owner name), an empty entry indicates that the last non-empty value should be carried over. The page number is in the last column.

    Liability. The data presented here are not curated nor verified. They are the raw results of the extraction, the reliability of which was thoroughly assessed in the above-mentioned publication. We insist on the fact that for any reuse of this data for research purposes, the implementation of an appropriate methodology is necessary. This may typically include string distance heuristics, or statistical methodologies to deal with noise and uncertainty.

  2. d

    Ashwell History Census Data Project, 1841-1881; Wheathamstead, 1861 -...

    • b2find.dkrz.de
    Updated Oct 30, 2003
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    (2003). Ashwell History Census Data Project, 1841-1881; Wheathamstead, 1861 - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/50f7174b-35b3-58fb-8899-0e9007cce7cb
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    Dataset updated
    Oct 30, 2003
    Area covered
    Ashwell
    Description

    Abstract copyright UK Data Service and data collection copyright owner.The Ashwell History Data Project is a collaborative project between local and family historians, the computer centre at Hatfield Polytechnic and the staff of the Ashwell Field Studies Centre to create computer files of historical documents for Ashwell and the surrounding area. The data in this study cover 19th century census enumerators' books. Main Topics: There is one record for each individual with information as follows: schedule; address; forename; surname; relationship to head; household size; family size; marital status; sex; age; occupation; occupation code (Booth/Armstrong); town of birth; county of birth; code for county of birth; remarks.

  3. e

    1870 United States Federal Census

    • ebroy.org
    Updated 1870
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    Year: 1870; Census Place: Philadelphia Ward 28 District 91, Philadelphia, Pennsylvania; Roll: M593_1445; Page: 248A; Family History Library Film: 552944 (1870). 1870 United States Federal Census [Dataset]. https://ebroy.org/profile/?person=P91
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    Dataset updated
    1870
    Dataset authored and provided by
    Year: 1870; Census Place: Philadelphia Ward 28 District 91, Philadelphia, Pennsylvania; Roll: M593_1445; Page: 248A; Family History Library Film: 552944
    Area covered
    United States
    Description

    1870 United States Federal Census contains records from Philadelphia, Pennsylvania, USA by Year: 1870; Census Place: Philadelphia Ward 28 District 91, Philadelphia, Pennsylvania; Roll: M593_1445; Page: 248A; Family History Library Film: 552944 - .

  4. e

    1860 United States Federal Census

    • ebroy.org
    Updated 1860
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    Year: 1860; Census Place: Philadelphia Ward 16 East Division, Philadelphia, Pennsylvania; Roll: M653_1166; Page: 77; Family History Library Film: 805166 (1860). 1860 United States Federal Census [Dataset]. https://ebroy.org/profile/?person=P41
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    Dataset updated
    1860
    Dataset authored and provided by
    Year: 1860; Census Place: Philadelphia Ward 16 East Division, Philadelphia, Pennsylvania; Roll: M653_1166; Page: 77; Family History Library Film: 805166
    Area covered
    United States
    Description

    1860 United States Federal Census contains records from Philadelphia, Pennsylvania, USA by Year: 1860; Census Place: Philadelphia Ward 16 East Division, Philadelphia, Pennsylvania; Roll: M653_1166; Page: 77; Family History Library Film: 805166 - .

  5. N

    Green Tree, PA households by income brackets: family, non-family, and total,...

    • neilsberg.com
    csv, json
    Updated Mar 3, 2025
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    Neilsberg Research (2025). Green Tree, PA households by income brackets: family, non-family, and total, in 2023 inflation-adjusted dollars [Dataset]. https://www.neilsberg.com/research/datasets/6635a8e8-f81d-11ef-a994-3860777c1fe6/
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    json, csvAvailable download formats
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Green Tree, Pennsylvania
    Variables measured
    Income Level, All households, Family households, Non-Family households, Percent of All households, Percent of Family households, Percent of Non-Family households
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across income brackets (mentioned above) following an initial analysis and categorization. The percentage of all, family and nonfamily households were collected by grouping data as applicable. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents a breakdown of households across various income brackets in Green Tree, PA, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Green Tree, PA reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Green Tree households based on income levels.

    Key observations

    • For Family Households: In Green Tree, the majority of family households, representing 17.61%, earn $150,000 to $199,999, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.0%, have incomes falling $15,000 to $19,999, representing a smaller but still significant segment of the community.
    • For Non-Family Households: In Green Tree, the majority of non-family households, accounting for 13.61%, have income Less than $10,000, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 0.0%, earn $15,000 to $19,999, representing a smaller, yet notable, portion of non-family households in the community.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Income Levels:

    • Less than $10,000
    • $10,000 to $14,999
    • $15,000 to $19,999
    • $20,000 to $24,999
    • $25,000 to $29,999
    • $30,000 to $34,999
    • $35,000 to $39,999
    • $40,000 to $44,999
    • $45,000 to $49,999
    • $50,000 to $59,999
    • $60,000 to $74,999
    • $75,000 to $99,999
    • $125,000 to $149,999
    • $150,000 to $199,999
    • $200,000 or more

    Variables / Data Columns

    • Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Green Tree, PA (As mentioned above).
    • All Households: Count of households for the specified income level
    • % All Households: Percentage of households at the specified income level relative to the total households in Green Tree, PA
    • Family Households: Count of family households for the specified income level
    • % Family Households: Percentage of family households at the specified income level relative to the total family households in Green Tree, PA
    • Non-Family Households: Count of non-family households for the specified income level
    • % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Green Tree, PA

    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.

    Inspiration

    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/.

    Recommended for further research

    This dataset is a part of the main dataset for Green Tree median household income. You can refer the same here

  6. National Sample from the 1881 Censuses of Great Britain

    • beta.ukdataservice.ac.uk
    • datacatalogue.cessda.eu
    Updated 2003
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    K. Schurer; M. Woollard (2003). National Sample from the 1881 Censuses of Great Britain [Dataset]. http://doi.org/10.5255/ukda-sn-4375-1
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    Dataset updated
    2003
    Dataset provided by
    DataCitehttps://www.datacite.org/
    Federation of Family History Societies
    Authors
    K. Schurer; M. Woollard
    Area covered
    Great Britain, United Kingdom
    Description

    This computerised transcription of the census enumerators' books for the 1881 Census for England, Scotland and Wales, the Channel Islands and the Isle of Man is a by-product of a project to create a microfiche index of the population of Great Britain for genealogists. Covering the entire enumerated population of England, Scotland and Wales, the Channel Islands and the Isle of Man in 1881, it is the largest collection of historical source material to be made available in computerised form. The data consists of the name, address, relationship to the head of household, marital status, age, occupation and birthplace of some 26 million individuals, together with information about disabilities.
    In 1999 the Genealogical Society of Utah published a version of this computerised transcription as a CD-ROM product suitable for genealogical research (Genealogical Society of Utah (1999) 1881 British census and national index. [25 CDs]. Salt Lake City, Utah: GSU). This study is an enriched version of these data. The sample is a 5 per cent random sample of the parishes of Great Britain. The sample was chosen in the simplest manner possible. A list of all the parishes in England, Wales, Scotland and the Islands in the British Seas was created; using a random number generator in Microsoft Excel, a random number between zero and one was allocated to each parish. All those less than or equal to 0.05 were selected for the sample. The records relating to the individuals in each of these parishes were then extracted from the data and combined in a database.

    Tables B1 and B3 in Appendix B of the documentation list the 716 parishes in the sample.

  7. N

    Lone Tree, CO households by income brackets: family, non-family, and total,...

    • neilsberg.com
    csv, json
    Updated Mar 3, 2025
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    Neilsberg Research (2025). Lone Tree, CO households by income brackets: family, non-family, and total, in 2023 inflation-adjusted dollars [Dataset]. https://www.neilsberg.com/insights/lone-tree-co-median-household-income/
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Lone Tree, Colorado
    Variables measured
    Income Level, All households, Family households, Non-Family households, Percent of All households, Percent of Family households, Percent of Non-Family households
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. It delineates income distributions across income brackets (mentioned above) following an initial analysis and categorization. The percentage of all, family and nonfamily households were collected by grouping data as applicable. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents a breakdown of households across various income brackets in Lone Tree, CO, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Lone Tree, CO reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Lone Tree households based on income levels.

    Key observations

    • For Family Households: In Lone Tree, the majority of family households, representing 41.95%, earn $200,000 or more, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.17%, have incomes falling $30,000 to $34,999, representing a smaller but still significant segment of the community.
    • For Non-Family Households: In Lone Tree, the majority of non-family households, accounting for 14.97%, have income $75,000 to $99,999, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 0.0%, earn $30,000 to $34,999, representing a smaller, yet notable, portion of non-family households in the community.
    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates.

    Income Levels:

    • Less than $10,000
    • $10,000 to $14,999
    • $15,000 to $19,999
    • $20,000 to $24,999
    • $25,000 to $29,999
    • $30,000 to $34,999
    • $35,000 to $39,999
    • $40,000 to $44,999
    • $45,000 to $49,999
    • $50,000 to $59,999
    • $60,000 to $74,999
    • $75,000 to $99,999
    • $125,000 to $149,999
    • $150,000 to $199,999
    • $200,000 or more

    Variables / Data Columns

    • Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Lone Tree, CO (As mentioned above).
    • All Households: Count of households for the specified income level
    • % All Households: Percentage of households at the specified income level relative to the total households in Lone Tree, CO
    • Family Households: Count of family households for the specified income level
    • % Family Households: Percentage of family households at the specified income level relative to the total family households in Lone Tree, CO
    • Non-Family Households: Count of non-family households for the specified income level
    • % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Lone Tree, CO

    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.

    Inspiration

    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/.

    Recommended for further research

    This dataset is a part of the main dataset for Lone Tree median household income. You can refer the same here

  8. c

    Historical, Demographic, Economic, and Social Data: The United States,...

    • archive.ciser.cornell.edu
    Updated Dec 30, 2019
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    Michael Haines (2019). Historical, Demographic, Economic, and Social Data: The United States, 1790-2000 [Dataset]. http://doi.org/10.6077/2g2v-8p57
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    Dataset updated
    Dec 30, 2019
    Authors
    Michael Haines
    Area covered
    United States
    Variables measured
    GeographicUnit
    Description

    This data collection contains detailed county and state-level ecological and descriptive data for the United States for the years 1790 to 2002. Parts 1-43 are an update to HISTORICAL, DEMOGRAPHIC, ECONOMIC, AND SOCIAL DATA: THE UNITED STATES, 1790-1970 (ICPSR 0003). Parts 1-41 contain data from the 1790-1970 censuses. They include extensive information about the social and political character of the United States, including a breakdown of population by state, race, nationality, number of families, size of the family, births, deaths, marriages, occupation, religion, and general economic condition. Parts 42 and 43 contain data from the 1840 and 1870 Censuses of Manufacturing, respectively. These files include information about the number of persons employed in various industries and the quantities of different types of manufactured products. Parts 44-50 provide county-level data from the United States Census of Agriculture for 1840 to 1900. They also include the state and national totals for the variables. The files provide data about the number, types, and prices of various agricultural products. Parts 51-57 contain data on religious bodies and church membership for 1906, 1916, 1926, 1936, and 1952, respectively. Parts 58-69 consist of data from the CITY DATA BOOKS for 1944, 1948, 1952, 1956, 1962, 1967, 1972, 1977, 1983, 1988, 1994, and 2000, respectively. These files contain information about population, climate, housing units, hotels, birth and death rates, school enrollment and education expenditures, employment in various industries, and city government finances. Parts 70-81 consist of data from the COUNTY DATA BOOKS for 1947, 1949, 1952, 1956, 1962, 1967, 1972, 1977, 1983, 1988, 1994, and 2000, respectively. These files include information about population, employment, housing, agriculture, manufacturing, retail, services, trade, banking, Social Security, local governments, school enrollment, hospitals, crime, and income. Parts 82-84 contain data from USA COUNTIES 1998. Due to the large number of variables from this source, the data were divided into into three separate data files. Data include information on population, vital statistics, school enrollment, educational attainment, Social Security, labor force, personal income, poverty, housing, trade, farms, ancestry, commercial banks, and transfer payments. Parts 85-106 provide data from the United States Census of Agriculture for 1910 to 2002. They provide data about the amount, types, and prices of various agricultural products. Also, these datasets contain extensive information on the amount, expenses, sales, values, and production of farms and machinery. (Source: downloaded from ICPSR 7/13/10)

    Please Note: This dataset is part of the historical CISER Data Archive Collection and is also available at ICPSR -- https://doi.org/10.3886/ICPSR02896.v3. We highly recommend using the ICPSR version, as they made this dataset available in multiple data formats and updated the data through 2002.

  9. c

    Great Britain Historical Database: Census Data : Migration Statistics,...

    • datacatalogue.cessda.eu
    Updated Nov 28, 2024
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    Southall, H. R., University of Portsmouth, School of the Environment (2024). Great Britain Historical Database: Census Data : Migration Statistics, 1851-1951 [Dataset]. http://doi.org/10.5255/UKDA-SN-4558-1
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    Dataset updated
    Nov 28, 2024
    Dataset provided by
    Geography and Geosciences
    Authors
    Southall, H. R., University of Portsmouth, School of the Environment
    Time period covered
    Jan 1, 1999 - Jan 1, 2002
    Area covered
    Great Britain, United Kingdom, Wales, England and Wales, England, Scotland
    Variables measured
    Individuals, Cross-national, National, Subnational
    Measurement technique
    Transcription of existing materials, Compilation or synthesis of existing material
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online.


    Main Topics:

    Birthplace statistics from the 1851, 1861, 1871, 1881, 1891, 1901 and 1911 censuses for residents of England and Wales arranged by age and sex.

    Birth-Places of the Inhabitants of the Counties of Scotland in 1851, 1861, 1871, 1881, 1891, 1901, 1911, 1921, 1931 and 1951 arranged by age.

    Birthplace statistics from the 1951 census for residents of England and Wales arranged by sex and districts/counties/countries.

    Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

  10. Average size of a family in the US 1960-2023

    • statista.com
    Updated Sep 23, 2024
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    Statista (2024). Average size of a family in the US 1960-2023 [Dataset]. https://www.statista.com/statistics/183657/average-size-of-a-family-in-the-us/
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    Dataset updated
    Sep 23, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The average American family in 2023 consisted of 3.15 persons. Families in the United States According to the U.S. Census Bureau, a family is a group of two people or more (one of whom is the householder) related by birth, marriage, or adoption and residing together; all such people (including related subfamily members) are considered as members of one family. As of 2023, the U.S. Census Bureau counted about 84.33 million families in the United States. The average family consisted of 3.15 persons in 2021, down from 3.7 in the 1960s. This is reflected in the decrease of children in family households overall. In 1970, about 56 percent of all family households had children under the age of 18 living in the household. This percentage declined to about 40 percent in 2020. The average size of a family household varies greatly from state to state. The largest average families can be found in Utah, California, and Hawaii, while the smallest families can be found in Wisconsin, Vermont and Maine.

  11. d

    Census of Population, 1940 [United States]: Public Use Microdata Sample

    • datamed.org
    Updated Feb 1, 2001
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    (2001). Census of Population, 1940 [United States]: Public Use Microdata Sample [Dataset]. https://datamed.org/display-item.php?repository=0012&id=56d4b879e4b0e644d313455b&query=
    Explore at:
    Dataset updated
    Feb 1, 2001
    Area covered
    United States
    Description

    The 1940 Census Public Use Microdata Sample Project was assembled through a collaborative effort between the United States Bureau of the Census and the Center for Demography and Ecology at the University of Wisconsin. The collection contains a stratified 1-percent sample of households, with separate records for each household, for each 'sample line' respondent, and for each person in the household. These records were encoded from microfilm copies of original handwritten enumeration schedules from the 1940 Census of Population. Geographic identification of the location of the sampled households includes Census regions and divisions, states (except Alaska and Hawaii), standard metropolitan areas (SMAs), and state economic areas (SEAs). Accompanying the data collection is a codebook that includes an abstract, descriptions of sample design, processing procedures and file structure, a data dictionary (record layout), category code lists, and a glossary. Also included is a procedural history of the 1940 Census. Each of the 20 subsamples contains three record types: household, sample line, and person. Household variables describe the location and condition of the household. The sample line records contain variables describing demographic characteristics such as nativity, marital status, number of children, veteran status, wage deductions for Social Security, and occupation. Person records also contain variables describing demographic characteristics including nativity, marital status, family membership, education, employment status, income, and occupation.

  12. F

    Median Family Income in the United States

    • fred.stlouisfed.org
    json
    Updated Sep 10, 2024
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    (2024). Median Family Income in the United States [Dataset]. https://fred.stlouisfed.org/series/MEFAINUSA646N
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 10, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Median Family Income in the United States (MEFAINUSA646N) from 1953 to 2023 about family, median, income, and USA.

  13. c

    Great Britain Historical Database : Census Data : Occupational Statistics,...

    • datacatalogue.cessda.eu
    Updated Nov 28, 2024
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    Gatley, D. Alan, University of Staffordshire; Woollard, M., University of Essex; Garrett, E.; Garret, P.; Southall, H. R., University of London, Queen Mary and Westfield College; Doring, D.; Lee, C., University of Aberdeen; Reid, A., University of Cambridge (2024). Great Britain Historical Database : Census Data : Occupational Statistics, 1841-1991 [Dataset]. http://doi.org/10.5255/UKDA-SN-4559-2
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    Dataset updated
    Nov 28, 2024
    Dataset provided by
    Department of History
    Business School
    University of Oxford
    University of Cambridge
    School of Social Sciences
    UCL
    Department of Geography
    Authors
    Gatley, D. Alan, University of Staffordshire; Woollard, M., University of Essex; Garrett, E.; Garret, P.; Southall, H. R., University of London, Queen Mary and Westfield College; Doring, D.; Lee, C., University of Aberdeen; Reid, A., University of Cambridge
    Time period covered
    Jan 1, 1999 - Jan 1, 2018
    Area covered
    Scotland, Wales, England and Wales, Great Britain
    Variables measured
    Individuals, Administrative units (geographical/political), National, Subnational
    Measurement technique
    Transcription, Compilation/Synthesis
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online.


    These data were originally collected by the Censuses of Population for England and Wales, and for Scotland. They were computerised by the Great Britain Historical GIS Project and its collaborators.

    The census has gathered data on "occupations", meaning individuals' roles in the workplace, since the first household enumeration in 1841, and this collection includes most of the published results. However, how the results were classified varied greatly: for 1841, there is simply an alphabetical list of individual occupations, in 1851 the most basic classification was into workers in animal, vegetable and minerals, and so on. Further, the more detailed the occupational classification used, space considerations tended to require a less detailed geography; or, sometimes, the use of an abridged classification for small towns and rural areas; or even different tables and classifications for men and for women. There are consequently multiple datasets for some years.

    Latest edition information

    For the second edition (October 2022), the data and documentation have been revised.


    Main Topics:

    Occupations, meaning self-described roles in the workplace, tabulated by gender using a variety of occupational classifications. Note that the early classifications often mingle notions of social status. From 1931 onwards these tables also include counts of the unemployed.


    Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

  14. c

    Great Britain Historical Database : Census Data : Inter-Censal Population...

    • datacatalogue.cessda.eu
    • beta.ukdataservice.ac.uk
    Updated Nov 28, 2024
    + more versions
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    Gregory, I., University of London, Queen Mary and Westfield College; Southall, H. R., University of London, Queen Mary and Westfield College (2024). Great Britain Historical Database : Census Data : Inter-Censal Population Change Statistics, 1851-1961 [Dataset]. http://doi.org/10.5255/UKDA-SN-4556-1
    Explore at:
    Dataset updated
    Nov 28, 2024
    Dataset provided by
    Department of Geography
    Authors
    Gregory, I., University of London, Queen Mary and Westfield College; Southall, H. R., University of London, Queen Mary and Westfield College
    Time period covered
    Jan 1, 1999 - Jan 1, 2002
    Area covered
    Wales, England, England and Wales, Great Britain, United Kingdom
    Variables measured
    Individuals, Cross-national, National, Subnational
    Measurement technique
    Transcription of existing materials, Compilation or synthesis of existing material
    Description

    Abstract copyright UK Data Service and data collection copyright owner.

    The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online.


    Main Topics:

    Registration District Population Totals, 1851-1911 according to Decennial Supplements and Censuses reports.

    Inter-censal Population Changes (births, marriages, deaths) for Registration Districts, 1851-1911 considering boundary changes.

    Inter-censal population changes for Twentieth Century Local Government Districts arranged by sex.

    Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

  15. e

    1870 United States Federal Census

    • ebroy.org
    Updated 1870
    + more versions
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    Year: 1870; Census Place: Lyndon, Aroostook, Maine; Roll: M593_538; Page: 250A; Family History Library Film: 552037 (1870). 1870 United States Federal Census [Dataset]. https://ebroy.org/profile/?person=P75
    Explore at:
    Dataset updated
    1870
    Dataset authored and provided by
    Year: 1870; Census Place: Lyndon, Aroostook, Maine; Roll: M593_538; Page: 250A; Family History Library Film: 552037
    Area covered
    United States
    Description

    1870 United States Federal Census contains records from Lyndon, Aroostook, Maine, USA by Year: 1870; Census Place: Lyndon, Aroostook, Maine; Roll: M593_538; Page: 250A; Family History Library Film: 552037 - .

  16. o

    Current Population Survey: Annual Demographic File, 1969

    • explore.openaire.eu
    Updated Jun 28, 1984
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    United States. Bureau Of The Census (1984). Current Population Survey: Annual Demographic File, 1969 [Dataset]. http://doi.org/10.3886/icpsr07560
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    Dataset updated
    Jun 28, 1984
    Authors
    United States. Bureau Of The Census
    Description

    (1) This hierarchical file contains 202,112 records. There are approximately 157 variables and two record types: family and person. Family records contain approximately 58 variables, and person records contain approximately 99 variables. (2) Each family and person record contains a weight, which must be used in any analysis. (3) This data file was obtained from the Data Program and Library Service (DPLS), University of Wisconsin. Some data management operations intended to store the data more efficiently were performed by DPLS. That organization also revised the original Census Bureau documentation. (4) The codebook is provided by ICPSR as a Portable Document Format (PDF) file. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided on the ICPSR Web site. This data collection supplies standard monthly labor force data as well as supplemental data on work experience, income, and migration. Comprehensive information is given on the employment status, occupation, and industry of persons 14 years old and older. Additional data are available concerning weeks worked and hours per week worked, reason not working full-time, total income and income components, and residence. Information on demographic characteristics, such as age, sex, race, educational attainment, marital status, veteran status, household relationship, and Hispanic origin, is available for each person in the household enumerated. Persons in the civilian noninstitutional population of the United States living in households and members of the armed forces living in civilian housing units in 1969. Datasets: DS1: Current Population Survey: Annual Demographic File, 1969 A national probability sample was used in selecting housing units.

  17. U.S. average number of own children per family with own children 1960-2023

    • statista.com
    Updated Jul 5, 2024
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    Statista (2024). U.S. average number of own children per family with own children 1960-2023 [Dataset]. https://www.statista.com/statistics/718084/average-number-of-own-children-per-family/
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    Dataset updated
    Jul 5, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The typical American picture of a family with 2.5 kids might not be as relevant as it once was: In 2023, there was an average of 1.94 children under 18 per family in the United States. This is a decrease from 2.33 children under 18 per family in 1960.

    Familial structure in the United States

    If there’s one thing the United States is known for, it’s diversity. Whether this is diversity in ethnicity, culture, or family structure, there is something for everyone in the U.S. Two-parent households in the U.S. are declining, and the number of families with no children are increasing. The number of families with children has stayed more or less constant since 2000.

    Adoptions in the U.S.

    Families in the U.S. don’t necessarily consist of parents and their own biological children. In 2021, around 35,940 children were adopted by married couples, and 13,307 children were adopted by single women.

  18. F

    New One Family Houses Sold: United States

    • fred.stlouisfed.org
    json
    Updated Mar 25, 2025
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    (2025). New One Family Houses Sold: United States [Dataset]. https://fred.stlouisfed.org/series/HSN1F
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 25, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for New One Family Houses Sold: United States (HSN1F) from Jan 1963 to Feb 2025 about 1-unit structures, headline figure, family, new, sales, housing, and USA.

  19. N

    Median Household Income Variation by Family Size in Lone Tree, IA:...

    • neilsberg.com
    csv, json
    Updated Jan 11, 2024
    + more versions
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    Neilsberg Research (2024). Median Household Income Variation by Family Size in Lone Tree, IA: Comparative analysis across 7 household sizes [Dataset]. https://www.neilsberg.com/research/datasets/1b20d6e1-73fd-11ee-949f-3860777c1fe6/
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Jan 11, 2024
    Dataset authored and provided by
    Neilsberg Research
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Lone Tree, Iowa
    Variables measured
    Household size, Median Household Income
    Measurement technique
    The data presented in this dataset is derived from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. It delineates income distributions across 7 household sizes (mentioned above) following an initial analysis and categorization. Using this dataset, you can find out how household income varies with the size of the family unit. For additional information about these estimations, please contact us via email at research@neilsberg.com
    Dataset funded by
    Neilsberg Research
    Description
    About this dataset

    Context

    The dataset presents median household incomes for various household sizes in Lone Tree, IA, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

    Key observations

    • Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Lone Tree did not include 1, 6, or 7-person households. Across the different household sizes in Lone Tree the mean income is $85,349, and the standard deviation is $10,751. The coefficient of variation (CV) is 12.60%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
    • In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 2-person households, with an income of $87,824. It then further decreased to 74,313 for 5-person households, the largest household size for which the bureau reported a median household income.

    https://i.neilsberg.com/ch/lone-tree-ia-median-household-income-by-household-size.jpeg" alt="Lone Tree, IA median household income, by household size (in 2022 inflation-adjusted dollars)">

    Content

    When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

    Household Sizes:

    • 1-person households
    • 2-person households
    • 3-person households
    • 4-person households
    • 5-person households
    • 6-person households
    • 7-or-more-person households

    Variables / Data Columns

    • Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
    • Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

    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.

    Inspiration

    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/.

    Recommended for further research

    This dataset is a part of the main dataset for Lone Tree median household income. You can refer the same here

  20. e

    1840 United States Federal Census

    • ebroy.org
    Updated 1840
    + more versions
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    Year: 1840; Census Place: Kensington Ward 4, Philadelphia, Pennsylvania; Roll: 488; Page: 101; Family History Library Film: 0020556 (1840). 1840 United States Federal Census [Dataset]. https://ebroy.org/profile/?person=P103
    Explore at:
    Dataset updated
    1840
    Dataset authored and provided by
    Year: 1840; Census Place: Kensington Ward 4, Philadelphia, Pennsylvania; Roll: 488; Page: 101; Family History Library Film: 0020556
    Area covered
    United States
    Description

    1840 United States Federal Census contains records from Philadelphia, Pennsylvania, USA by Year: 1840; Census Place: Kensington Ward 4, Philadelphia, Pennsylvania; Roll: 488; Page: 101; Family History Library Film: 0020556 - .

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Remi Petitpierre; Remi Petitpierre; Marion Kramer; Lucas Rappo; Lucas Rappo; Isabella di Lenardo; Isabella di Lenardo; Marion Kramer (2023). 1805-1898 Census Records of Lausanne : a Long Digital Dataset for Demographic History [Dataset]. http://doi.org/10.5281/zenodo.7711640
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1805-1898 Census Records of Lausanne : a Long Digital Dataset for Demographic History

Explore at:
2 scholarly articles cite this dataset (View in Google Scholar)
csv, binAvailable download formats
Dataset updated
Mar 21, 2023
Dataset provided by
Zenodohttp://zenodo.org/
Authors
Remi Petitpierre; Remi Petitpierre; Marion Kramer; Lucas Rappo; Lucas Rappo; Isabella di Lenardo; Isabella di Lenardo; Marion Kramer
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
Lausanne
Description

Context. This historical dataset stems from the project of automatic extraction of 72 census records of Lausanne, Switzerland. The complete dataset covers a century of historical demography in Lausanne (1805-1898), which corresponds to 18,831 pages, and nearly 6 million cells.

Content. The data published in this repository correspond to a first release, i.e. a diachronic slice of one register every 8 to 9 years. Unfortunately, the remaining data are currently under embargo. Their publication will take place as soon as possible, and at the latest by the end of 2023. In the meantime, the data presented here correspond to a large subset of 2,844 pages, which already allows to investigate most research hypotheses.

Description. The population censuses, digitized by the Archives of the city of Lausanne, continuously cover the evolution of the population in Lausanne throughout the 19th century, starting in 1805, with only one long interruption from 1814 to 1831. Highly detailed, they are an invaluable source for studying migration, economic and social history, and traces of cultural exchanges not only with Bern, but also with France and Italy. Indeed, the system of tracing family origin, specific to Switzerland, allows to follow the migratory movements of families long before the censuses appeared. The bourgeoisie is also an essential economic tracer. In addition, censuses extensively describe the organization of the social fabric into family nuclei, around which gravitate various boarders, workers, servants or apprentices, often living in the same apartment with the family.

Production. The structure and richness of censuses have also provided an opportunity to develop automatic methods for processing structured documents. The processing of censuses includes several steps, from the identification of text segments to the restructuring of information as digital tabular data, through Handwritten Text Recognition and the automatic segmentation of the structure using neural networks. Please note that the detailed extraction methodology, as well as the complete evaluation of performance and reliability is published in:

  • Petitpierre R., Rappo L., Kramer M. (2023). An end-to-end pipeline for historical censuses processing. International Journal on Document Analysis and Recognition (IJDAR). doi: 10.1007/s10032-023-00428-9

Data structure. The data are structured in rows and columns, with each row corresponding to a household. Multiple entries in the same column for a single household are separated by vertical bars 〈|〉. The center point 〈·〉 indicates an empty entry. For some columns (e.g., street name, house number, owner name), an empty entry indicates that the last non-empty value should be carried over. The page number is in the last column.

Liability. The data presented here are not curated nor verified. They are the raw results of the extraction, the reliability of which was thoroughly assessed in the above-mentioned publication. We insist on the fact that for any reuse of this data for research purposes, the implementation of an appropriate methodology is necessary. This may typically include string distance heuristics, or statistical methodologies to deal with noise and uncertainty.

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