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Fictional census data

Source: R/data.R
census.Rd

This data set was created by Paula McLeod, Dick Heasman and Ian Forbes, ONS, for the ESSnet DI on-the-job training course, Southampton, 25-28 January 2011. It contains fictional data representing some observations from a decennial Census.

Usage

census

Format

A data.table with 25343 records. Each row represents one record, with the following columns:

  • person_id – a unique number for each person, consisting of postcode, house number and person number,

  • pername1 – forename,

  • pername2 – surname,

  • sex – gender (M/F),

  • dob_day – day of birth,

  • dob_mon – month of birth,

  • dob_year – year of birth,

  • hse_num – house number, a numeric label for each house within a street,

  • enumcap – an address consisting of house number and street name,

  • enumpc – postcode,

  • str_nam – street name of person's household's street,

  • cap_add – full address, consisting of house number, street name and postcode,

  • census_id – person ID with "CENS" added in front.

References

McLeod, P., Heasman, D., Forbes, I. (2011). Simulated data for the ESSnet DI on-the-job training course, Southampton, 25-28 January 2011. https://wayback.archive-it.org/12090/20231221144450/https://cros-legacy.ec.europa.eu/content/job-training_en

Examples


data("census")
head(census)
#>       person_id pername1 pername2    sex dob_day dob_mon dob_year hse_num
#>          <char>   <char>   <char> <char>  <char>  <char>   <char>   <num>
#> 1: DE03US001001    COUIE    PRICE      M       1       6     1960       1
#> 2: DE03US001002    ABBIE    PVICE      F       9      11     1961       1
#> 3: DE03US001003    LACEY    PRICE      F       7       2     1999       1
#> 4: DE03US001004   SAMUEL    PRICE      M      13       4     1990       1
#> 5: DE03US001005   JOSEPH    PRICE      M      20       4     1986       1
#> 6: DE03US001006     JOSH    PRICE      M      14       2     1996       1
#>           enumcap enumpc      str_nam         cap_add        census_id
#>            <char> <char>       <char>          <char>           <char>
#> 1: 1 WINDSOR ROAD DE03US Windsor Road 1, Windsor Road CENSDE03US001001
#> 2: 1 WINDSOR ROAD DE03US Windsor Road 1, Windsor Road CENSDE03US001002
#> 3: 1 WINDSOR ROAD DE03US Windsor Road 1, Windsor Road CENSDE03US001003
#> 4: 1 WINDSOR ROAD DE03US Windsor Road 1, Windsor Road CENSDE03US001004
#> 5: 1 WINDSOR ROAD DE03US Windsor Road 1, Windsor Road CENSDE03US001005
#> 6: 1 WINDSOR ROAD DE03US Windsor Road 1, Windsor Road CENSDE03US001006