Cannock Chase 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 724 Show data context 176 Show data context 847 Show data context 0 Show data context 1 Show data context 102 Show data context 84 Show data context 38 Show data context 32 Show data context 0 Show data context 1 Show data context 2 Show data context 7 Show data context 48 Show data context 10 Show data context 21 Show data context 8 Show data context 452 Show data context
1861 788 Show data context 218 Show data context 462 Show data context 0 Show data context 1 Show data context 115 Show data context 95 Show data context 60 Show data context 64 Show data context 0 Show data context 1 Show data context 27 Show data context 11 Show data context 8 Show data context 20 Show data context 33 Show data context 9 Show data context 288 Show data context
1881 402 Show data context 3,787 Show data context 1,476 Show data context 9 Show data context 6 Show data context 444 Show data context 346 Show data context 319 Show data context 93 Show data context 9 Show data context 21 Show data context 7 Show data context 49 Show data context 120 Show data context 48 Show data context 125 Show data context 44 Show data context 870 Show data context
1911 572 Show data context 2,726 Show data context 7,666 Show data context 72 Show data context 18 Show data context 787 Show data context 1,059 Show data context 1,035 Show data context 290 Show data context 29 Show data context 107 Show data context 0 Show data context 53 Show data context 392 Show data context 215 Show data context 238 Show data context 92 Show data context 1,301 Show data context
1931 499 Show data context 10,147 Show data context 2,330 Show data context 127 Show data context 49 Show data context 827 Show data context 1,487 Show data context 502 Show data context 219 Show data context 3 Show data context 141 Show data context 29 Show data context 68 Show data context 0 Show data context 617 Show data context 307 Show data context 205 Show data context 1,271 Show data context
1951 677 Show data context 8,575 Show data context 4,172 Show data context 296 Show data context 101 Show data context 1,144 Show data context 2,260 Show data context 763 Show data context 638 Show data context 0 Show data context 141 Show data context 0 Show data context 58 Show data context 0 Show data context 2,144 Show data context 458 Show data context 221 Show data context 613 Show data context
1971 760 Show data context 2,417 Show data context 10,084 Show data context 470 Show data context 75 Show data context 3,084 Show data context 4,228 Show data context 915 Show data context 617 Show data context 89 Show data context 287 Show data context 73 Show data context 204 Show data context 54 Show data context 1,308 Show data context 1,736 Show data context 417 Show data context 567 Show data context
2011 131 Show data context 68 Show data context 6,812 Show data context 356 Show data context 673 Show data context 5,519 Show data context 8,955 Show data context 2,731 Show data context 2,265 Show data context 829 Show data context 971 Show data context 464 Show data context 1,681 Show data context 2,057 Show data context 2,770 Show data context 3,647 Show data context 5,621 Show data context 1,926 Show data context
2021 134 Show data context 34 Show data context 5,287 Show data context 297 Show data context 749 Show data context 6,474 Show data context 9,263 Show data context 2,995 Show data context 2,052 Show data context 1,156 Show data context 923 Show data context 523 Show data context 1,719 Show data context 2,204 Show data context 2,673 Show data context 4,023 Show data context 6,515 Show data context 1,838 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))

This website exists to help people doing personal research projects on particular areas within a locality. So long as you are using our data for only a small number of units, you are not making money out of what you are doing, and you are not systematically re-publishing our data, you do not need to request permission from us, but you do need to acknowledge us as your source with the wording:

"This work is based on data provided through www.VisionofBritain.org.uk and uses historical material which is copyright of the Great Britain Historical GIS Project and the University of Portsmouth".

Where the above statement is included in a web page or similar online resource, the reference to "www.VisionofBritain.org.uk" must be a working hyperlink.

nCube definition


The National Statistics Socio-economic Classfication has been used by the census since 2001 "to measure the employment relations and conditions of occupations", replacing the earlier system of Socio-Economic Groups.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10089864/cube/INDUSTRY_GEN_2021

Date accessed: 04th June 2026