Cotswold 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 10,882 Show data context 984 Show data context 7,379 Show data context 2 Show data context 5 Show data context 2,021 Show data context 1,099 Show data context 652 Show data context 330 Show data context 0 Show data context 13 Show data context 31 Show data context 142 Show data context 535 Show data context 222 Show data context 325 Show data context 146 Show data context 6,326 Show data context
1861 11,467 Show data context 53 Show data context 4,956 Show data context 15 Show data context 18 Show data context 1,847 Show data context 1,291 Show data context 560 Show data context 608 Show data context 8 Show data context 9 Show data context 336 Show data context 150 Show data context 113 Show data context 213 Show data context 463 Show data context 200 Show data context 4,144 Show data context
1881 7,872 Show data context 36 Show data context 3,045 Show data context 16 Show data context 6 Show data context 1,562 Show data context 892 Show data context 418 Show data context 266 Show data context 17 Show data context 30 Show data context 28 Show data context 106 Show data context 95 Show data context 415 Show data context 471 Show data context 129 Show data context 4,579 Show data context
1911 4,994 Show data context 1,561 Show data context 5,691 Show data context 72 Show data context 10 Show data context 1,545 Show data context 1,608 Show data context 1,534 Show data context 532 Show data context 60 Show data context 144 Show data context 0 Show data context 107 Show data context 335 Show data context 466 Show data context 522 Show data context 336 Show data context 4,860 Show data context
1931 5,488 Show data context 66 Show data context 2,177 Show data context 103 Show data context 15 Show data context 1,349 Show data context 2,138 Show data context 1,015 Show data context 865 Show data context 9 Show data context 184 Show data context 44 Show data context 144 Show data context 1 Show data context 703 Show data context 577 Show data context 368 Show data context 5,491 Show data context
1951 5,778 Show data context 178 Show data context 2,598 Show data context 218 Show data context 19 Show data context 2,351 Show data context 2,647 Show data context 938 Show data context 1,233 Show data context 0 Show data context 311 Show data context 0 Show data context 180 Show data context 0 Show data context 4,468 Show data context 937 Show data context 636 Show data context 2,933 Show data context
1971 1,447 Show data context 125 Show data context 10,330 Show data context 245 Show data context 34 Show data context 1,755 Show data context 2,057 Show data context 749 Show data context 414 Show data context 240 Show data context 187 Show data context 47 Show data context 375 Show data context 66 Show data context 1,578 Show data context 926 Show data context 403 Show data context 629 Show data context
2011 1,316 Show data context 142 Show data context 3,445 Show data context 281 Show data context 271 Show data context 3,335 Show data context 6,550 Show data context 1,272 Show data context 3,028 Show data context 1,836 Show data context 1,462 Show data context 807 Show data context 3,531 Show data context 1,968 Show data context 1,854 Show data context 4,024 Show data context 3,850 Show data context 2,557 Show data context
2021 1,306 Show data context 101 Show data context 3,146 Show data context 307 Show data context 274 Show data context 3,845 Show data context 6,294 Show data context 1,247 Show data context 2,761 Show data context 2,331 Show data context 1,841 Show data context 903 Show data context 3,923 Show data context 2,659 Show data context 2,095 Show data context 3,995 Show data context 4,428 Show data context 2,613 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


All persons of working age (14 or above in 1931), categorised by gender and the system of 32 occupational 'Orders' used by the 1931 Census of Population. This includes the 'Unoccupied and Retired' who constitute Order 32.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10197223/cube/INDUSTRY_GEN_2021

Date accessed: 07th June 2026