South Cambridgeshire 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 9,168 Show data context 69 Show data context 2,659 Show data context 2 Show data context 2 Show data context 940 Show data context 720 Show data context 329 Show data context 308 Show data context 0 Show data context 6 Show data context 10 Show data context 58 Show data context 403 Show data context 79 Show data context 187 Show data context 129 Show data context 3,424 Show data context
1861 11,262 Show data context 12 Show data context 3,044 Show data context 1 Show data context 7 Show data context 902 Show data context 848 Show data context 274 Show data context 584 Show data context 13 Show data context 3 Show data context 173 Show data context 60 Show data context 52 Show data context 123 Show data context 280 Show data context 125 Show data context 2,127 Show data context
1881 8,319 Show data context 543 Show data context 2,599 Show data context 7 Show data context 3 Show data context 906 Show data context 675 Show data context 307 Show data context 236 Show data context 19 Show data context 6 Show data context 13 Show data context 52 Show data context 75 Show data context 161 Show data context 393 Show data context 97 Show data context 3,324 Show data context
1911 9,866 Show data context 28 Show data context 2,993 Show data context 32 Show data context 9 Show data context 1,374 Show data context 1,261 Show data context 1,165 Show data context 542 Show data context 40 Show data context 64 Show data context 0 Show data context 76 Show data context 174 Show data context 371 Show data context 538 Show data context 242 Show data context 4,347 Show data context
1931 7,255 Show data context 66 Show data context 4,035 Show data context 73 Show data context 20 Show data context 1,135 Show data context 1,770 Show data context 1,033 Show data context 335 Show data context 4 Show data context 112 Show data context 32 Show data context 112 Show data context 2 Show data context 951 Show data context 714 Show data context 338 Show data context 3,050 Show data context
1951 7,118 Show data context 39 Show data context 6,556 Show data context 295 Show data context 30 Show data context 1,898 Show data context 2,296 Show data context 1,034 Show data context 748 Show data context 0 Show data context 85 Show data context 0 Show data context 173 Show data context 0 Show data context 3,584 Show data context 743 Show data context 698 Show data context 2,659 Show data context
1971 4,703 Show data context 36 Show data context 6,813 Show data context 234 Show data context 73 Show data context 2,881 Show data context 3,701 Show data context 1,645 Show data context 474 Show data context 352 Show data context 333 Show data context 44 Show data context 687 Show data context 60 Show data context 2,273 Show data context 1,627 Show data context 831 Show data context 951 Show data context
2011 979 Show data context 67 Show data context 6,888 Show data context 130 Show data context 484 Show data context 5,309 Show data context 10,223 Show data context 2,280 Show data context 2,912 Show data context 5,042 Show data context 1,789 Show data context 1,112 Show data context 9,539 Show data context 3,169 Show data context 3,749 Show data context 12,093 Show data context 9,789 Show data context 3,585 Show data context
2021 1,017 Show data context 50 Show data context 6,736 Show data context 213 Show data context 346 Show data context 5,861 Show data context 8,423 Show data context 2,109 Show data context 2,767 Show data context 7,223 Show data context 1,637 Show data context 1,083 Show data context 9,932 Show data context 3,514 Show data context 3,055 Show data context 13,118 Show data context 11,673 Show data context 3,472 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


This system of four "Levels" appears in the census Small Area Statistics for 2001, 2011 and 2021/2, and the full definitions of the levels include a wide range of broadly equivalent qualifications.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10057267/cube/INDUSTRY_GEN_2021

Date accessed: 05th June 2026