South Gloucestershire 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 4,569 Show data context 469 Show data context 3,423 Show data context 1 Show data context 3 Show data context 943 Show data context 526 Show data context 316 Show data context 153 Show data context 0 Show data context 7 Show data context 14 Show data context 75 Show data context 244 Show data context 106 Show data context 152 Show data context 72 Show data context 2,931 Show data context
1861 6,828 Show data context 1,082 Show data context 6,286 Show data context 46 Show data context 10 Show data context 1,689 Show data context 1,425 Show data context 985 Show data context 625 Show data context 29 Show data context 29 Show data context 480 Show data context 249 Show data context 300 Show data context 368 Show data context 443 Show data context 196 Show data context 4,661 Show data context
1881 4,180 Show data context 1,865 Show data context 4,362 Show data context 12 Show data context 0 Show data context 1,363 Show data context 742 Show data context 472 Show data context 210 Show data context 8 Show data context 31 Show data context 9 Show data context 91 Show data context 120 Show data context 180 Show data context 307 Show data context 86 Show data context 3,147 Show data context
1911 5,511 Show data context 1,834 Show data context 6,902 Show data context 90 Show data context 15 Show data context 1,821 Show data context 1,958 Show data context 1,916 Show data context 638 Show data context 77 Show data context 178 Show data context 0 Show data context 129 Show data context 428 Show data context 544 Show data context 613 Show data context 404 Show data context 5,658 Show data context
1931 3,705 Show data context 1,587 Show data context 11,045 Show data context 162 Show data context 108 Show data context 1,968 Show data context 3,607 Show data context 2,574 Show data context 600 Show data context 18 Show data context 299 Show data context 64 Show data context 187 Show data context 4 Show data context 1,216 Show data context 746 Show data context 474 Show data context 3,731 Show data context
1951 3,640 Show data context 672 Show data context 27,125 Show data context 304 Show data context 114 Show data context 2,803 Show data context 3,997 Show data context 3,638 Show data context 1,342 Show data context 0 Show data context 318 Show data context 0 Show data context 162 Show data context 0 Show data context 2,048 Show data context 1,014 Show data context 935 Show data context 2,165 Show data context
1971 3,625 Show data context 316 Show data context 27,041 Show data context 683 Show data context 95 Show data context 4,712 Show data context 5,909 Show data context 2,295 Show data context 1,120 Show data context 745 Show data context 603 Show data context 132 Show data context 1,048 Show data context 205 Show data context 4,168 Show data context 2,533 Show data context 1,185 Show data context 1,683 Show data context
2011 759 Show data context 225 Show data context 13,336 Show data context 912 Show data context 983 Show data context 11,797 Show data context 22,296 Show data context 6,642 Show data context 5,591 Show data context 5,819 Show data context 8,753 Show data context 1,632 Show data context 7,876 Show data context 5,972 Show data context 10,383 Show data context 11,461 Show data context 16,784 Show data context 5,310 Show data context
2021 778 Show data context 184 Show data context 10,687 Show data context 1,006 Show data context 1,182 Show data context 14,461 Show data context 22,022 Show data context 7,297 Show data context 5,478 Show data context 7,263 Show data context 7,374 Show data context 2,106 Show data context 9,259 Show data context 7,291 Show data context 11,831 Show data context 13,394 Show data context 20,539 Show data context 5,535 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


This classification of industry is that used by the 2021 Census, and forms the basic for our standardisation of historical information on industrial structure. The modern data are a classification of workers by their employers' business and count them by their place of work. However, before 1951 they are counted by place of residence, and before 1921 workers have to be classified by their individual occupations.


How to reference this page:

GB Historical GIS / University of Portsmouth, South Gloucestershire 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/10188933/cube/INDUSTRY_GEN_2021

Date accessed: 05th June 2026