Bracknell Forest Unitary Authority (UA) : 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 1,215 Show data context 0 Show data context 428 Show data context 0 Show data context 1 Show data context 146 Show data context 111 Show data context 46 Show data context 39 Show data context 0 Show data context 1 Show data context 3 Show data context 10 Show data context 55 Show data context 93 Show data context 28 Show data context 16 Show data context 615 Show data context
1861 947 Show data context 3 Show data context 352 Show data context 1 Show data context 0 Show data context 266 Show data context 82 Show data context 41 Show data context 90 Show data context 0 Show data context 0 Show data context 40 Show data context 11 Show data context 9 Show data context 140 Show data context 38 Show data context 15 Show data context 694 Show data context
1881 789 Show data context 8 Show data context 654 Show data context 9 Show data context 0 Show data context 362 Show data context 141 Show data context 159 Show data context 71 Show data context 4 Show data context 3 Show data context 3 Show data context 23 Show data context 43 Show data context 507 Show data context 108 Show data context 80 Show data context 1,378 Show data context
1911 2,025 Show data context 11 Show data context 868 Show data context 17 Show data context 3 Show data context 652 Show data context 412 Show data context 516 Show data context 173 Show data context 17 Show data context 34 Show data context 0 Show data context 37 Show data context 64 Show data context 226 Show data context 177 Show data context 101 Show data context 2,386 Show data context
1931 534 Show data context 4 Show data context 853 Show data context 38 Show data context 4 Show data context 681 Show data context 844 Show data context 448 Show data context 260 Show data context 5 Show data context 63 Show data context 21 Show data context 79 Show data context 2 Show data context 749 Show data context 270 Show data context 146 Show data context 2,360 Show data context
1951 768 Show data context 3 Show data context 1,026 Show data context 17 Show data context 8 Show data context 878 Show data context 924 Show data context 216 Show data context 240 Show data context 0 Show data context 65 Show data context 0 Show data context 86 Show data context 0 Show data context 2,827 Show data context 600 Show data context 462 Show data context 1,268 Show data context
1971 626 Show data context 45 Show data context 4,425 Show data context 240 Show data context 16 Show data context 1,596 Show data context 2,146 Show data context 640 Show data context 374 Show data context 206 Show data context 223 Show data context 67 Show data context 1,666 Show data context 104 Show data context 1,593 Show data context 1,025 Show data context 448 Show data context 841 Show data context
2011 135 Show data context 107 Show data context 4,184 Show data context 332 Show data context 356 Show data context 4,477 Show data context 10,044 Show data context 3,537 Show data context 2,920 Show data context 6,180 Show data context 1,770 Show data context 816 Show data context 4,611 Show data context 3,791 Show data context 3,809 Show data context 5,402 Show data context 6,152 Show data context 3,291 Show data context
2021 202 Show data context 100 Show data context 3,991 Show data context 378 Show data context 504 Show data context 5,662 Show data context 9,890 Show data context 3,314 Show data context 2,773 Show data context 7,122 Show data context 1,808 Show data context 1,091 Show data context 4,374 Show data context 4,436 Show data context 3,681 Show data context 6,321 Show data context 7,711 Show data context 3,093 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 full National Statistics Socio-cconomic Classification includes classes for persons of working age who were outside the workforce, i.e. those who have never worked, the long-term unemployed and full-time students, who are included here as a separate sub-total and should be excluded in the calculation of rates.


How to reference this page:

GB Historical GIS / University of Portsmouth, Bracknell Forest Unitary Authority (UA) through time | Historical Statistics on Industry | Standard Industrial Classification (2007), A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10099225/cube/INDUSTRY_GEN_2021

Date accessed: 05th June 2026