Gloucester 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 366 Show data context 31 Show data context 1,203 Show data context 1 Show data context 0 Show data context 275 Show data context 261 Show data context 190 Show data context 73 Show data context 1 Show data context 4 Show data context 10 Show data context 41 Show data context 98 Show data context 50 Show data context 44 Show data context 42 Show data context 825 Show data context
1861 621 Show data context 9 Show data context 935 Show data context 3 Show data context 2 Show data context 285 Show data context 300 Show data context 319 Show data context 128 Show data context 5 Show data context 3 Show data context 40 Show data context 48 Show data context 51 Show data context 56 Show data context 59 Show data context 50 Show data context 560 Show data context
1881 663 Show data context 81 Show data context 3,770 Show data context 20 Show data context 11 Show data context 1,254 Show data context 1,066 Show data context 1,483 Show data context 404 Show data context 51 Show data context 54 Show data context 20 Show data context 165 Show data context 442 Show data context 205 Show data context 257 Show data context 180 Show data context 2,485 Show data context
1911 882 Show data context 279 Show data context 8,343 Show data context 98 Show data context 16 Show data context 1,590 Show data context 2,532 Show data context 3,245 Show data context 642 Show data context 107 Show data context 200 Show data context 0 Show data context 165 Show data context 659 Show data context 575 Show data context 449 Show data context 313 Show data context 3,271 Show data context
1931 564 Show data context 36 Show data context 7,271 Show data context 303 Show data context 31 Show data context 1,326 Show data context 4,382 Show data context 3,141 Show data context 867 Show data context 14 Show data context 290 Show data context 91 Show data context 264 Show data context 4 Show data context 1,003 Show data context 591 Show data context 636 Show data context 2,567 Show data context
1951 371 Show data context 11 Show data context 9,741 Show data context 859 Show data context 61 Show data context 2,166 Show data context 6,257 Show data context 4,336 Show data context 1,553 Show data context 0 Show data context 509 Show data context 0 Show data context 454 Show data context 0 Show data context 5,013 Show data context 856 Show data context 1,472 Show data context 1,433 Show data context
1971 138 Show data context 52 Show data context 11,633 Show data context 611 Show data context 231 Show data context 2,906 Show data context 8,565 Show data context 3,968 Show data context 874 Show data context 333 Show data context 848 Show data context 126 Show data context 950 Show data context 280 Show data context 4,691 Show data context 2,919 Show data context 2,770 Show data context 1,129 Show data context
2011 143 Show data context 69 Show data context 6,894 Show data context 826 Show data context 422 Show data context 4,796 Show data context 10,513 Show data context 2,877 Show data context 2,924 Show data context 1,771 Show data context 3,437 Show data context 654 Show data context 2,623 Show data context 2,752 Show data context 4,390 Show data context 4,915 Show data context 9,021 Show data context 2,347 Show data context
2021 202 Show data context 73 Show data context 6,016 Show data context 775 Show data context 480 Show data context 5,896 Show data context 10,740 Show data context 3,184 Show data context 3,103 Show data context 2,331 Show data context 2,901 Show data context 752 Show data context 2,654 Show data context 3,163 Show data context 4,159 Show data context 5,274 Show data context 11,657 Show data context 2,255 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 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, Gloucester District through time | Historical Statistics on Industry | Standard Industrial Classification (2007), A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10032805/cube/INDUSTRY_GEN_2021

Date accessed: 05th June 2026