1911 Ireland Census contains records from Scalp, Kilthomas, Galway, Ireland by Ancestry.com. Web: Ireland, Census, 1911 [database on-line]. Provo, UT, USA: Ancestry.com Operations, Inc., 2013. Original data: Census of Ireland 1901/1911. The National Archives of Ireland. http://www.census.nationalarchives.ie/search/ - .

This Special Licence access dataset contains names and addresses from the Integrated Census Microdata (I-CeM) dataset of the censuses of Great Britain for the period 1851 to 1911. These data are made available under Special Licence (SL) access conditions due to commercial sensitivity.

The anonymised main I-CeM database that complements these names and addresses is available under SN 7481. It comprises the Censuses of Great Britain for the period 1851-1911; data are available for England and Wales for 1851-1861 and 1881-1911 (1871 is not currently available for England and Wales) and for Scotland for 1851-1901 (1911 is not currently available for Scotland). The database contains over 180 million individual census records and was digitised and harmonised from the original census enumeration books. It details characteristics for all individuals resident in Great Britain at each of the included Censuses. The original digital data has been coded and standardised; the I-CeM database has consistent geography over time and standardised coding schemes for many census variables.

This dataset of names and addresses for individual census records is organised per country (England and Wales; Scotland) and per census year. Within each data file each census record contains first and last name, street address and an individual identification code (RecID) that allows linking with the corresponding anonymised I-CeM record. The data cannot be used for true linking of individual census records across census years for commercial genealogy purposes nor for any other commercial purposes. The SL arrangements are required to ensure that commercial sensitivity is protected. For information on making an application, see the Access section.

The data were updated in February 2020, with some files redeposited with longer field length limits. Users should note that some name and address fields are truncated due to the limits set by the LDS project that transcribed the original data. No more than 10,000 records out of some 210 million across the study should be affected. Examples include:

• England and Wales:
  • 1851 - truncated at the 24th character (maximum I-CeM field length 95 characters)
  • 1881 - truncated at the 16th character (maximum I-CeM field length 50 characters).
• Scotland: for 1851‐71, truncations affect less than 0.01% of all addresses and for 1851 around 1% at most
  • 1851 - truncated at the 70th character
  • 1861 - truncated at the 76th character
  • 1871 - truncated at the 82th character
  • 1881 - truncated at the 50th character.

Further information about I-CeM can be found on the I-CeM Integrated Microdata Project and I-CeM Guide webpages.

Analysis unit

Persons, households, and dwellings

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

UNIT DESCRIPTIONS: - Dwellings: Any structure which provides shelter for a human being is a house. It need not be a house in the usual sense of the word, but may be a room in a factory, a store or office building, a railway car, or the like. - Households: A household may include all persons in a housekeeping community, whether related by ties of blood or not, but usually with one of their number occupying the position of head. All the occupants and employees of a hotel or lodging house, if that is their usual place of abode, make up for Census purposes a single household. - Group quarters: An institution household includes such establishments as hospitals, poorhouses, asylums for the insane, prisons, penitentiaries, schools of learning, military barracks, homes for the aged, homes of refuge, etc.

Universe

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

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: Department of Agriculture, Census Branch

SAMPLE SIZE (person records): 264686.

SAMPLE DESIGN: Cluster samples of individual records, with the dwelling as the cluster, drawn by data producers. For more information, see data producer

Mode of data collection

Face-to-face [f2f]

Research instrument

Single household enumeration form

This spreadsheet is designed to be used in conjunction with the Integrated Census Microdata (I-CeM) collection of historic census data covering the period 1851 to 1921. For further details of the I-CeM data collection, please visit the comprehensive project website at:

https://www.campop.geog.cam.ac.uk/research/projects/icem/

Outline information on the I-CeM project are also provided on the README page of this spreadsheet.

This file is specifically related to the I-CeM data collection variable HOLLEROCC

1911 Census of Canada contains records from Gravenhurst, Muskoka, Ontario, Canada by Year: 1911; Census Place: 21 - Gravenhurst, Muskoka, Ontario; Page: 2; Family No: 20 - .

This spreadsheet is designed to be used in conjunction with the Integrated Census Microdata (I-CeM) collection of historic census data covering the period 1851 to 1921. For further details of the I-CeM data collection, please visit the comprehensive project website at:

https://www.campop.geog.cam.ac.uk/research/projects/icem/

Outline information on the I-CeM project are also provided on the README page of this spreadsheet.

This file is specifically related to the I-CeM data collection variable HOLLERIND

Analysis unit

Persons and households

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

UNIT DESCRIPTIONS: - Dwellings: A dwelling has a distinct outer door and shall be considered as one house, although it may be occupied by several families living in separate apartments, or what are known as tenements, under the same roof. - Households: A "distinct family" is defined as (a) a man and his wife or a man and his and children living together, and no other person residing with them or family such as either of the foregoing, with their relatives, servants, and visitors residing with them. (b) All persons occupying the same house common and boarding at the same table, and their servants. (c) A person living alone whether occupying the whole or a part of a house, with servants, if any. (d) Two or more lodgers boarding together distinct from the family and their servants, if any. - Group quarters: A non-private household is a boarding house, hotel, guest house, barrack, hospital, nursing home, boarding schools, religious institution, welfare institution, prison, or ship, etc.

Universe

All persons present in Ireland at the time of census, including visitors and those in residence.

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: The National Archives of Ireland

SAMPLE SIZE (person records): 4381387.

SAMPLE DESIGN: Full count

Mode of data collection

Face-to-face [f2f]

Research instrument

The information is based on Form A- Household Schedule. Form B reports summary tables of population figures.

The Census of Agriculture is conducted every 5 years with the Census of Canada. The 1871-1911 agricultural censuses for Ontario were compiled from the Census of Canada volumes by Dr. A. Michelle Edwards, University of Guelph. For current Census of Agriculture data, refer to Statistics Canada.

Census: Population: Kerala: Kottayam: Male data was reported at 968,289.000 Person in 03-01-2011. This records an increase from the previous number of 84,960.000 Person for 03-01-2001. Census: Population: Kerala: Kottayam: Male data is updated decadal, averaging 24,699.500 Person from Mar 1901 (Median) to 03-01-2011, with 12 observations. The data reached an all-time high of 968,289.000 Person in 03-01-2011 and a record low of 7,863.000 Person in 03-01-1911. Census: Population: Kerala: Kottayam: Male data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAC017: Census: Population: By Towns and Urban Agglomerations: Kerala.

CCRI Selected Published Tables Data Files: For each census from 1911-1951, a series of published volumes and tables were produced by the Dominion of Canada’s statistical agency. From those published books, the CCRI made a selection of 23 tables which contain information regarding particular topics such as: population (male and female counts), number of dwellings, households and families, as well as religion and origin of the people. For 1931, selected tables from published volumes (2 & 5) included: Population, Canadian, British and Foreign born, classified by sex, for municipalities, townships or other subdivisions, 1931 Population classified according to principal origins for municipalities, etc., 1931 Population classified according to principal religions for municipalities, etc., 1931 Buildings (containing dwellings), dwellings and households, classified as rural and urban, for counties and census divisions, 1931

This dataset contains RecID from I-CeM Adjustment Weights for the 1891-1911 England and Wales 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 three raw text files 1. 1891 Employment status & Weights 2. 1901 Employment status & Weights 3. 1911 Employment status & Weights Each file has the three following variables: 1. RecID: the ID for I-CEM2 as in Higgs, Edward and Schürer, Kevin (University of Essex) (2014) The Integrated Census Microdata (I-CeM) UKDA, SN-7481; K. Schürer, E. Higgs, A.M. Reid, E.M Garrett, Integrated Census Microdata, 1851-1911, version V. 2 (I-CeM.2), (2016) [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, "The Population of Non-corporate Business Proprietors in England and Wales 1891-1911", by Bennett, Robert J., Montebruno, Piero, Smith, Harry J. Please cite using its DOI.

Analysis unit

Persons, households, and dwellings

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

UNIT DESCRIPTIONS: - Dwellings: A place in which any person entitled to receive a schedule usually lives. A dwelling may be an ordinary private house or a separately occupied room or rooms in a house; a flat in a block of residential mansions or model dwellings; a maisonette; rooms over stables, over shops, in a factory, etc.; an hotel, club, institution, etc.; or a caravan, tent, canal boat, vessel, etc. - Households: A group of people who eat at the same table or in the same house, including lodgers and servants - Group quarters: Yes

Universe

All persons who slept in a dwelling in the country on the night of April 2,1911 and persons who arrived to the dwelling on the morning of April 3, 1911 having not be enumerated elsewhere

Kind of data

Population and Housing Census [hh/popcen]

Sampling procedure

MICRODATA SOURCE: Registrar General

SAMPLE SIZE (person records): 36353455.

SAMPLE DESIGN: Not applicable

Mode of data collection

Face-to-face [f2f]

Research instrument

A single household form collected information on individual characteristics

Details of 65 British LDS soldiers who died during the First World War. Augmented with information from the 1911 census, military records, LDS Church records, and others. Addresses have been incorporated as have key demographic variables. Inscriptions present on headstones and/or other markers have also been included where available.

This aggregate-level dataset links poor relief data recorded on 1 January 1891 with several variables from corresponding 1891 census data, all at the level of the registration district (RD). Specifically, the numbers of men and women receiving indoor and outdoor relief in the ‘non-able-bodied’ category (taken as a proxy of the numbers of older-age men and women on relief) are accompanied with a series of socio-economic variables calculated from census data on the population aged 60 years and over (our definition of ‘old age’). Thus, the dataset fulfils two objectives: 1. To start reconciling poor relief data from the House of Commons Parliamentary Papers archive with transcribed Integrated Census Microdata (I-CeM) available at the UK Data Service (UKDS). 2. To capture geographical variations in the proportion of older-age men and women on poor relief as well as in several household, occupational and migratory compositions recorded in the census, consulting data from 1891 as a pilot study in anticipation of an extended project covering all censuses from 1851-1911.The study of old age in history has generally had a narrow focus on welfare needs. Specific studies of the extreme poverty, or pauperism, of older people in late nineteenth-century London by Victorian contemporary Charles Booth (1840-1916) have remained remarkably influential for historical research on old age (Booth, 1894; Boyer and Schmidle, 2009). Old age is also examined through institutional care, particularly workhouse accommodation (Lievers, 2009; Ritch, 2014), while the subgroup of the elderly population that were not poor has been underexplored. However, my PhD thesis shows that pauperism was not a universal experience of old age between 1851 and 1911. Using transcribed census data for five selected counties in England and Wales, I find that pauperism was contingent upon many socio-economic factors recorded in census datasets, such as the occupational structure of older people, their living arrangements and their capacity to voluntarily retire from work based on their savings, land and capital. I find that, in some districts of the northern counties of Cheshire and the Yorkshire West Riding, the proportion of men described in the census as 'retired' and the proportion of women 'living on their own means' was greater than the respective proportions of men and women on welfare. For elderly men in particular, there were regional differences in agrarian work, where those in northern England are more likely to run smallholding 'family farms' whereas, in southern England, elderly men generally participate as agricultural labourers. I find that these differences play an important part in the likelihood of becoming pauperised, and adds to the idea of a north-south divide in old age pauperism (King, 2000). Furthermore, pauperism was predicated on the events and circumstances of people throughout their life histories and approaching their old age. My fellowship will enable me to expand upon these findings through limited additional research that stresses an examination of the experiences of all older people in England and Wales. Old age has to be assessed more widely in relation to regional and geographical characteristics. In this way, we refine Booth's London-centric focus on the relationship between poverty and old age. My fellowship will achieve these objectives by systematically tracing the diversity of old age experiences. A pilot study will link welfare data recorded on 1 January 1891 from the House of Commons Parliamentary Papers archive with the socio-economic indicators contained in the 1891 census conducted on 5 April, all incorporated at the level of c. 650 registration districts in England and Wales. I will also visit record offices to extract data on the names of older people recorded as receiving welfare in materials related to the New Poor Law, thereby expanding on the PhD's examination of the life histories of older people. With the key findings from my PhD presented above, I will spend my time addressing a wider audience on my research. As I will argue in blogs and webinars addressed to Age UK, the International Longevity Centre UK and History and Policy, a monolithic narrative of old age as associated with welfare dependency and gradual decline has been constructed since Booth's research in the late nineteenth century. This narrative has remained fixed through the growth of our ageing population, and the development of both old age pensions and the modern welfare state. My research alternatively uses historical censuses that reveal the economic productivity of older people in a manner that is not satisfactorily captured in present day discourse. I will also receive training on how to address my PhD to local schools, through the presentation of maps that present variations in the proportions of older people receiving welfare, and in the application of transcribed census data. Data on the numbers of 'non-able-bodied' men and women receiving outdoor and indoor relief on 1 January 1891 (taken as a proxy for the numbers in old age receiving welfare on this date) by Poor Law Union (648) are then converted to the numbers by corresponding Registration District (630). They are linked with several socio-economic variables involving the numbers of men and women aged 60 years and over in the 1891 census. Further information on this is in the User Guide.

This database gives the coded directors and their companies as listed in the Directory of Directors for years 1882, 1892, 1902, 1912 (judged the most relevant for the census years) and also codes those linked to census records 1881-1911 for which their full census record is available in BBCE and linked to I-CeM. Record linkage match between DoD and censuses was 36% for 18,200 directors; but the database gives all DOD directors coded to business sectors, locations, and roles they played in each company.

Census: Population: Delhi: Female data was reported at 7,800,615.000 Person in 03-01-2011. This records an increase from the previous number of 6,243,273.000 Person for 03-01-2001. Census: Population: Delhi: Female data is updated decadal, averaging 963,384.000 Person from Mar 1901 (Median) to 03-01-2011, with 12 observations. The data reached an all-time high of 7,800,615.000 Person in 03-01-2011 and a record low of 182,986.000 Person in 03-01-1911. Census: Population: Delhi: Female data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAB002: Census: Population: by States.

Census: Population: Punjab: Male data was reported at 14,639,465.000 Person in 03-01-2011. This records an increase from the previous number of 12,985,045.000 Person for 03-01-2001. Census: Population: Punjab: Male data is updated decadal, averaging 5,617,923.000 Person from Mar 1901 (Median) to 03-01-2011, with 12 observations. The data reached an all-time high of 14,639,465.000 Person in 03-01-2011 and a record low of 3,782,236.000 Person in 03-01-1911. Census: Population: Punjab: Male data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAB002: Census: Population: by States.

Census: Population: Haryana: Female data was reported at 11,856,728.000 Person in 03-01-2011. This records an increase from the previous number of 9,780,611.000 Person for 03-01-2001. Census: Population: Haryana: Female data is updated decadal, averaging 3,084,861.000 Person from Mar 1901 (Median) to 03-01-2011, with 12 observations. The data reached an all-time high of 11,856,728.000 Person in 03-01-2011 and a record low of 1,899,768.000 Person in 03-01-1911. Census: Population: Haryana: Female data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAB002: Census: Population: by States.

Census: Population: Haryana: Male data was reported at 13,494,734.000 Person in 03-01-2011. This records an increase from the previous number of 11,363,953.000 Person for 03-01-2001. Census: Population: Haryana: Male data is updated decadal, averaging 3,547,199.500 Person from Mar 1901 (Median) to 03-01-2011, with 12 observations. The data reached an all-time high of 13,494,734.000 Person in 03-01-2011 and a record low of 2,274,909.000 Person in 03-01-1911. Census: Population: Haryana: Male data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAB002: Census: Population: by States.

Census: Population: Punjab: Female data was reported at 13,103,873.000 Person in 03-01-2011. This records an increase from the previous number of 11,373,954.000 Person for 03-01-2001. Census: Population: Punjab: Female data is updated decadal, averaging 4,749,729.500 Person from Mar 1901 (Median) to 03-01-2011, with 12 observations. The data reached an all-time high of 13,103,873.000 Person in 03-01-2011 and a record low of 2,949,274.000 Person in 03-01-1911. Census: Population: Punjab: Female data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAB002: Census: Population: by States.