The 1901 Census of Canada was the fourth Census conducted . The Canadian Families Project has a broad mandate. Their re-investigation of family in Canada includes the study of discourses of family; class, ethnicity and region as they relate to family; the history of single parenthood and fragmented families; fertility decline; language, education and family; religion and family; family and community in rural Canada; the social geography of urban families; family income and standards of living. Basic to the work of the Project is the study of families in the past. The Project begins by creating a large database of information from the 1901 census of Canada. The database will include all information from Schedules 1 and 2 of the census for five percent of individuals and families in the whole of Canada (as it existed in 1901). Schedule 1 contains the nominal returns - the enumeration of the population by name. Schedule 2 is a continuation of Schedule 1 and it gives information of buildings and lands held by persons enumerated in Schedule 1. The 5 percent sample will include information on approximately 268,500 persons. (Summary derived from User Guide)
1901 Canada Census contains records from Brompton, Quebec, Canada by Year: 1901; Census Place: Brompton, Richmond and Wolfe, Quebec; Page: 18; Family No: 170 - .
1901 Census of Canada contains records from Gravenhurst, Simcoe East, Ontario, Canada by Year: 1901; Census Place: Gravenhurst (Town/Ville), Simcoe (east/est), Ontario; Page: 4; Family No: 34 - .
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Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, for 2020, the 2020 Census provides the official counts of the population and housing units for the nation, states, counties, cities, and towns. For 2016 to 2019, the Population Estimates Program provides estimates of the population for the nation, states, counties, cities, and towns and intercensal housing unit estimates for the nation, states, and counties..Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section..Source: U.S. Census Bureau, 2016-2020 American Community Survey 5-Year Estimates.Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables..When information is missing or inconsistent, the Census Bureau logically assigns an acceptable value using the response to a related question or questions. If a logical assignment is not possible, data are filled using a statistical process called allocation, which uses a similar individual or household to provide a donor value. The "Allocated" section is the number of respondents who received an allocated value for a particular subject..Between 2018 and 2019 the American Community Survey retirement income question changed. These changes resulted in an increase in both the number of households reporting retirement income and higher aggregate retirement income at the national level. For more information see Changes to the Retirement Income Question ..The categories for relationship to householder were revised in 2019. For more information see Revisions to the Relationship to Household item..The 2016-2020 American Community Survey (ACS) data generally reflect the September 2018 Office of Management and Budget (OMB) delineations of metropolitan and micropolitan statistical areas. In certain instances, the names, codes, and boundaries of the principal cities shown in ACS tables may differ from the OMB delineation lists due to differences in the effective dates of the geographic entities..Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization..Explanation of Symbols:- The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution.N The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. (X) The estimate or margin of error is not applicable or not available.median- The median falls in the lowest interval of an open-ended distribution (for example "2,500-")median+ The median falls in the highest interval of an open-ended distribution (for example "250,000+").** The margin of error could not be computed because there were an insufficient number of sample observations.*** The margin of error could not be computed because the median falls in the lowest interval or highest interval of an open-ended distribution.***** A margin of error is not appropriate because the corresponding estimate is controlled to an independent population or housing estimate. Effectively, the corresponding estimate has no sampling error and the margin of error may be treated as zero.
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The observation for 2020 is missing because the U.S. Census Bureau released experimental estimates (https://www.census.gov/programs-surveys/acs/data/experimental-data.html) instead of the standard 1-year data products for the 2020 American Community Survey (ACS). There was no 2020 experimental data provided for the American Community Survey (ACS) 1-year variable S1901_C01_013E.
Mean household income, American Community Survey (ACS) 1-year variable S1901_C01_013E, is adjusted by CPI (https://fred.stlouisfed.org/series/CPIAUCSL) where the price index is re-based to 1999 dollars. Then the series is adjusted for cost of living using regional price parities (RPP) from the U.S. Bureau of Economic Analysis' Real Personal Income for States and Metropolitan Areas (https://fred.stlouisfed.org/release?rid=403&soid=18). Finally to approximate the wage, the series is divided by (52 * 40), which assumes there are 52 weeks in a year and 40 work hours in a week. Note that household income can include additional sources of income beyond wages. See page 83 in the ACS's Subject Definitions (https://www2.census.gov/programs-surveys/acs/tech_docs/subject_definitions/2019_ACSSubjectDefinitions.pdf) for more information.
ACS 1-year estimates are not available for all geographic areas. If a county is not included in the 1-year estimates for a given year, the series will not revise or there will be a missing observation. See the Areas Published (https://www.census.gov/programs-surveys/acs/geography-acs/areas-published.html) for more details about the geographies included in the ACS 1-year estimates.
The RPP used to calculate this series is NYNMPRPPALL (https://fred.stlouisfed.org/series/NYNMPRPPALL). If the RPP for the region is zero or missing for a given year, the series will not revise or there will be a missing observation.
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This dataset provides comprehensive statistics on migration in the United Kingdom from 1901 to 2023. It includes data on immigration, emigration, net migration, and detailed breakdowns by nationality, reason for migration, visa categories, and regional distributions. The data is sourced from the UK Parliament’s Commons Library briefing paper titled “Migration Statistics”, which aims to explain the concepts and methods used in measuring migration and offers a range of data on migration in the UK and European Union countries.
2.2 (1) - Long-term international migration estimates in the UK
2.2 (2) - Estimated average annual net migration in the UK, 1901-2021
2.5 - Long-term international migration estimates in the UK, by nationality
2.6 (1) - Immigration by main reason for migration
2.6 (2) - Entry clearance visas granted by category, excluding tourist visas
2.6 (3) - Work visas granted by current category and prior equivalent
4.1 - Immigration and net migration of foreign nationals in EU countries and the UK, 2021
4.2 - Foreign-national and foreign-born populations of EU countries, 2021
5.1 - Estimated number of EU nationals living in the UK by nationality, 2021
5.2 - EU nationals by region, United Kingdom, 2021
5.4 (1) - Estimated number of British nationals living in EU countries, 2017
5.4 (2) - UN estimates of British citizens living in other EU countries, 2020
Cover Note - Additional information about the dataset
The dataset comprises multiple Excel files, each corresponding to specific tables and figures from the original report. Below is a detailed description of each file:
• Filename: long_term_international_migration_estimates_uk.xlsx
• Description: Annual estimates of immigration, emigration, and net migration in the UK from 1991 to 2012.
• Columns:
• Year ending
• Immigration
• Emigration
• Net migration
• Filename: estimated_average_annual_net_migration_1901_2021.xlsx
• Description: Decadal average net migration estimates based on census data from 1901 to 2012.
• Columns:
• Decade
• Censuses ending
• Average annual net migration
• Filename: long_term_migration_by_nationality.xlsx
• Description: Immigration, emigration, and net migration figures broken down by British, EU, and Non-EU nationals from 1991 to 2012.
• Columns:
• Year ending
• Immigration: British, EU, Non-EU
• Emigration: British, EU, Non-EU
• Net migration: British, EU, Non-EU
• Filename: immigration_by_reason.xlsx
• Description: Immigration figures categorized by main reasons such as work, accompanying/joining family, study, other, and none stated, from 1991 to 2012.
• Columns:
• Year ending
• Work related
• Accompany/Join
• Study
• Other
• None Stated
• Filename: entry_clearance_visas_granted.xlsx
• Description: Data on entry clearance visas granted in work, study, family, and other categories from 2006 to 2024.
• Columns:
• Year
• Work: Main applicants, Including dependants
• Study: Main applicants, Including dependants
• Family: All
• Other: All
• Filename: work_visas_granted_by_category.xlsx
• Description: Details of work visas granted, categorized into Worker (T2), Temporary Worker (T5), Investor/Business Development/Talent (T1), and others from 2010 to 2024.
• Columns:
• Year
• Worker (T2)
• Temporary Worker (T5)
• Investor, Business Development and Talent (T1)
• Other
• Total
• Filename: immigration_net_migration_eu_2021.xlsx
• Description: Immigration and net migration figures of foreign nationals in EU countries and the UK for the year 2021.
• Columns:
• Country
• Immigration
• Net migration
• Filename: foreign_population_eu_2021.xlsx
• Description: Number and percentage of foreign-national and foreign-born populations in EU countries as of 2021.
• Columns:
• Country
• FOREIGN NATIONAL: Number, As % of population
• FOREIGN BORN: Number, As % of population
• Total Population
• Filename: eu_nationals_in_uk_2021.xlsx
• Description: Estimates of EU nationals residing in the UK, broken down by country of nationality for 2021.
• Columns:
• Country of nationality
• Stock
• Filename: eu_nationals_by_region_uk_2021.xlsx
• Descri...
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This dataset contains Adjustment Weights for the 1891-1901 Scottish censuses and corresponds to Supplementary material for the paper "The Population of Non-corporate Business Proprietors in England and Wales 1891-1911", by Bennett, Robert J., Montebruno, Piero, Smith, Harry J. as an outcome of the ESRC project ES/M010953: Drivers of Entrepreneurship and Small Businesses PI Prof. Robert J. Bennett. The material consists of two raw text files 1. 1891 Employment status & Weights 2. 1901 Employment status & Weights. Each file has the three following variables: 1. RecID: the ID for I-CEM as in Higgs, Edward and Schürer, Kevin (University of Essex) (2014) The Integrated Census Microdata (I-CeM) UKDA, SN-7481 [data collection] UK Data Service SN: 7481 2. Employment status: 1 Worker 2 Employer 3 Own-account 3. Weights: the inverse of the probability of giving an answer to the Employment Status question of the censuses by Sex and Relationship to the head of the family. A detailed explanation of how these weights were calculated and how to use them in the context of data analysis of this censuses can be found in the accompanying working paper, Montebruno, Piero (2018) ‘Adjustment Weights 1891-1911: Weights to adjust entrepreneurs taking account of non-response and misallocation bias in Censuses 1891-1911’, Working Paper 11: ESRC project ES/M010953: ‘Drivers of Entrepreneurship and Small Businesses’, University of Cambridge, Department of Geography and Cambridge Group for the History of Population and Social Structure. The files can be opened by any text editor, database management system (Access) or statistical package (Stata, SPSS). This dataset should be cited as 'Adjustment Weights 1891-1911, used for "WP 20: Preparing Scottish census data in I-CeM for the British Business Census of Entrepreneurs (BBCE) Harry Smith, Carry van Lieshout, Piero Montebruno, and Bob Bennett"' Please cite using its DOI.
An Act for ascertaining the Number of the Inhabitants of the Colony of New South Wales in the Year One thousand eight hundred and forty-one, 1840 (4 Victoria Act No. 26) required every householder, employer of servants and proprietor and occupier of land to complete the census schedule on the second day ('or on the days immediately subsequent thereto') of March 1841.
The 1841 Census was more complete than its predecessors, as the population was recorded in police districts, counties and towns. There was a broader tabulation of results which included age groups, conjugal condition (married or unmarried), religious denomination and civil condition. Civil condition provided statistical information on the number of bond (convict) or free males and females in a household, whether they were born in the colony, arrived free, held a ticket of leave, and whether they were in government employment or private assignment.
The Census was taken by specially appointed collectors generally responsible to a Commissioner or a Bench of Magistrates, the collector completed printed forms, known as Form ‘A’ for each household in the allotted territory. After the Census magistrates were instructed to check the returns and send abstracts to the Colonial Secretary, designated Form ‘C’. The returns were then gathered together, statistics extracted and the final returns made.
This series comprises bound volumes of Form C . (NRS 1281).
The Form C records: number of return, name of establishment (usually head of household), number of each age group for males, and then for females (the age divisions are under two, two and under seven, seven and under 14, 14 and under 21, 21 and under 45, 45 and under 60, 60 and upwards); married or single; civil condition: free (born in colony, arrived free, other free persons), bond (ticket of leave, in government employment, in private assignment); then religion divided into Church of England, Church of Scotland, Wesleyan Methodists, other Protestant dissenters, Roman Catholics, Jews, Mohammedans and Pagans; occupation divided into land proprietors, merchants, bankers, and professional men; shopkeepers and other retail dealers; mechanics and artificers; shepherds and others in the care of sheep; gardeners, stockmen and persons employed in agriculture; domestic servants; all other persons not included in the foregoing classes; totals for males, for females, and for both; houses - further divided into stone or brick, wood, total; finished or unfinished; inhabited or uninhabited. The columns are totalled at the bottom of each sheet.
As well as these Abstracts of returns, there are also a number of "condensed" abstracts of returns, filled in on Form C. These enumerate the running numbers covered by each sheet of abstracts eg. one-20, 21-40 and give sums for each group as well as grand total.
Form C abstracts are arranged by district following the order in the Returns of the Colony for 1841. 'Condensed' Abstracts are filed with the district abstracts to which they pertain.
Berrima-Port Phillip (X946-49)
Queanbeyan-Yass (X950-51)
References
1) State Records New South Wales Website, "Concise Guide to the State Archives (Ca - Commissioners): Colonial Secretary, later Chief Secretary, later Services; s. Population and Statistics, a. Musters and Census Records, ii. Census,23. 1841 Census: Abstracts of returns, CGS 1282."
2) State Records New South Wales Website, "Introduction to the 1841 Census: Index to the 1841 Census, Background".
3) State Records New South Wales Website, "Short Guide 12 - Muster and Census Records, 1788 - 1901".
Abstract copyright UK Data Service and data collection copyright owner.
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The 1901 Census of Canada was the fourth Census conducted . The Canadian Families Project has a broad mandate. Their re-investigation of family in Canada includes the study of discourses of family; class, ethnicity and region as they relate to family; the history of single parenthood and fragmented families; fertility decline; language, education and family; religion and family; family and community in rural Canada; the social geography of urban families; family income and standards of living. Basic to the work of the Project is the study of families in the past. The Project begins by creating a large database of information from the 1901 census of Canada. The database will include all information from Schedules 1 and 2 of the census for five percent of individuals and families in the whole of Canada (as it existed in 1901). Schedule 1 contains the nominal returns - the enumeration of the population by name. Schedule 2 is a continuation of Schedule 1 and it gives information of buildings and lands held by persons enumerated in Schedule 1. The 5 percent sample will include information on approximately 268,500 persons. (Summary derived from User Guide)