Wrexham District : Standard Industrial Classification (2007)

Standard Industrial Classification (2007)

Data cube chart.

Year A: Agriculture, forestry & fishing B: Mining & quarrying C: Manufacturing D: Electricity, gas, steam etc E: Water, sewerage & waste mgt F: Construction G: Wholesale & retail trade H: Transport & storage I: Accommodation & catering J: Information & communication K: Financial & insurance L: Real estate activities. M: Professional, scientific & technical N: Administrative & support O: Public administration & defence P: Education Q: Human health & social work R, S, T, U: Other services
1841 3,528 Show data context 2,185 Show data context 2,060 Show data context 0 Show data context 0 Show data context 529 Show data context 356 Show data context 153 Show data context 153 Show data context 0 Show data context 2 Show data context 10 Show data context 20 Show data context 140 Show data context 42 Show data context 64 Show data context 30 Show data context 2,323 Show data context
1861 5,344 Show data context 2,913 Show data context 3,314 Show data context 6 Show data context 5 Show data context 944 Show data context 751 Show data context 398 Show data context 336 Show data context 10 Show data context 20 Show data context 134 Show data context 73 Show data context 74 Show data context 98 Show data context 134 Show data context 57 Show data context 1,766 Show data context
1881 3,127 Show data context 5,591 Show data context 3,574 Show data context 15 Show data context 13 Show data context 1,230 Show data context 923 Show data context 512 Show data context 259 Show data context 30 Show data context 46 Show data context 21 Show data context 133 Show data context 254 Show data context 458 Show data context 299 Show data context 75 Show data context 3,462 Show data context
1911 8,165 Show data context 8,124 Show data context 5,550 Show data context 73 Show data context 16 Show data context 1,984 Show data context 2,546 Show data context 1,652 Show data context 837 Show data context 65 Show data context 231 Show data context 0 Show data context 171 Show data context 392 Show data context 541 Show data context 688 Show data context 335 Show data context 5,109 Show data context
1931 3,457 Show data context 11,355 Show data context 4,984 Show data context 219 Show data context 54 Show data context 1,399 Show data context 3,897 Show data context 2,113 Show data context 961 Show data context 15 Show data context 347 Show data context 87 Show data context 182 Show data context 3 Show data context 1,301 Show data context 793 Show data context 538 Show data context 3,499 Show data context
1951 3,598 Show data context 7,713 Show data context 9,864 Show data context 944 Show data context 101 Show data context 2,621 Show data context 4,996 Show data context 2,499 Show data context 1,137 Show data context 0 Show data context 540 Show data context 0 Show data context 250 Show data context 0 Show data context 2,666 Show data context 1,079 Show data context 2,001 Show data context 1,587 Show data context
1971 2,835 Show data context 1,933 Show data context 10,328 Show data context 647 Show data context 161 Show data context 3,597 Show data context 5,485 Show data context 1,749 Show data context 1,055 Show data context 211 Show data context 571 Show data context 146 Show data context 455 Show data context 101 Show data context 2,451 Show data context 1,979 Show data context 1,783 Show data context 932 Show data context
2011 829 Show data context 67 Show data context 11,643 Show data context 543 Show data context 586 Show data context 4,379 Show data context 9,647 Show data context 2,725 Show data context 3,108 Show data context 1,163 Show data context 1,779 Show data context 543 Show data context 2,475 Show data context 2,802 Show data context 3,843 Show data context 5,637 Show data context 9,264 Show data context 2,581 Show data context
2021 953 Show data context 74 Show data context 9,801 Show data context 364 Show data context 603 Show data context 4,964 Show data context 8,955 Show data context 2,436 Show data context 2,576 Show data context 1,316 Show data context 1,442 Show data context 573 Show data context 2,238 Show data context 3,079 Show data context 4,113 Show data context 5,328 Show data context 10,524 Show data context 2,389 Show data context
Date Source
1841 1841 Census of Great Britain, Occupations, Table [1] , 'Occupation Abstract'
1861 1861 Census of England and Wales, Ages, Table 17 , 'Occupations of Males aged 20 Years and upwards in Districts'
1881 Great Britain Historical GIS Project Computed from 1881 microdata
1911 1911 Census of England and Wales, Occupations Vol 1, Table 15 A, 'Grouped occupations of Males and Females aged 10 years and upwards, in Administrative Counties, County Boroughs, Metropolitan Boroughs, Urban Districts of which the population exceeded 5,000 persons, aggregates of other Urban Districts, and aggregates of Rural Districts; also proportion per 1,000 of unmarried, married, widowed, and of married and widowed women engaged in occupations, and proportion of female domestic servants to separate occupiers or families, 1911 - Males'
1931 1931 Census of England and Wales, Industry, Table 3 , 'Industries (condensed list) of Males and Females (exclusive of persons out of work)'
1951 1951 Census of England and Wales, Industry, Table 3 , 'Industries (Orders and Selected Units) and Status Aggregates. Occupied Males and Females aged 15 and over', for 'Urban Areas with population of less than 50,000, RD, NT'
1971 1971 Census of England and Wales, Economic activity County Leaflets, Table 3 , 'Industry and status by area of workplace and sex', for 'County, county boroughs, urban areas with populations of 50,000 or more, conurbation centres'
1991 Census of Population
2011 Office for National Statistics, NOMIS - Official Census and Labour Market Statistics (Table KS605UK - Industry)
2021 Office for National Statistics, ONS "Create a Custom Dataset" ("Industry (current)" (19 way))

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nCube definition


The 1831 census provided information at parish-level on the number of males aged over 20 in each of nine occupational categories (plus numbers of male servants under 20, and female servants). These are the most detailed Census parish-level occupational data ever published. Information on the precise occupations of workers in retail trade and handicrafts was also published at county-level.


How to reference this page:

GB Historical GIS / University of Portsmouth, Wrexham District through time | Historical Statistics on Industry | Standard Industrial Classification (2007), A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10076778/cube/INDUSTRY_GEN_2021

Date accessed: 06th June 2026