Sutton 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 479 Show data context 5 Show data context 626 Show data context 1 Show data context 1 Show data context 219 Show data context 218 Show data context 115 Show data context 34 Show data context 1 Show data context 8 Show data context 7 Show data context 28 Show data context 194 Show data context 50 Show data context 53 Show data context 36 Show data context 888 Show data context
1861 608 Show data context 4 Show data context 573 Show data context 3 Show data context 3 Show data context 291 Show data context 194 Show data context 127 Show data context 102 Show data context 4 Show data context 19 Show data context 56 Show data context 45 Show data context 63 Show data context 77 Show data context 61 Show data context 37 Show data context 877 Show data context
1881 769 Show data context 7 Show data context 1,056 Show data context 14 Show data context 11 Show data context 747 Show data context 498 Show data context 319 Show data context 121 Show data context 23 Show data context 86 Show data context 17 Show data context 136 Show data context 236 Show data context 169 Show data context 251 Show data context 122 Show data context 2,352 Show data context
1911 1,812 Show data context 59 Show data context 3,324 Show data context 147 Show data context 34 Show data context 1,906 Show data context 2,265 Show data context 1,582 Show data context 543 Show data context 129 Show data context 347 Show data context 0 Show data context 313 Show data context 895 Show data context 1,175 Show data context 557 Show data context 744 Show data context 8,194 Show data context
1931 851 Show data context 29 Show data context 8,398 Show data context 787 Show data context 233 Show data context 4,169 Show data context 7,828 Show data context 3,342 Show data context 810 Show data context 212 Show data context 2,848 Show data context 450 Show data context 1,086 Show data context 16 Show data context 3,012 Show data context 1,430 Show data context 1,843 Show data context 7,664 Show data context
1951 452 Show data context 6 Show data context 10,692 Show data context 765 Show data context 211 Show data context 4,402 Show data context 7,559 Show data context 2,714 Show data context 1,524 Show data context 0 Show data context 745 Show data context 0 Show data context 585 Show data context 0 Show data context 2,451 Show data context 1,427 Show data context 4,041 Show data context 4,447 Show data context
1971 280 Show data context 0 Show data context 9,920 Show data context 590 Show data context 110 Show data context 4,500 Show data context 8,870 Show data context 2,460 Show data context 840 Show data context 600 Show data context 1,870 Show data context 340 Show data context 1,600 Show data context 1,220 Show data context 3,480 Show data context 2,960 Show data context 6,330 Show data context 3,240 Show data context
2011 87 Show data context 134 Show data context 3,539 Show data context 334 Show data context 503 Show data context 9,572 Show data context 14,020 Show data context 5,214 Show data context 3,586 Show data context 5,231 Show data context 5,825 Show data context 1,608 Show data context 7,574 Show data context 5,368 Show data context 7,080 Show data context 9,314 Show data context 13,318 Show data context 5,351 Show data context
2021 70 Show data context 155 Show data context 2,991 Show data context 387 Show data context 484 Show data context 10,908 Show data context 13,012 Show data context 4,917 Show data context 4,129 Show data context 7,157 Show data context 5,570 Show data context 1,842 Show data context 7,966 Show data context 5,924 Show data context 6,255 Show data context 10,992 Show data context 16,685 Show data context 4,817 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 1831 census provided information at parish-level on the number of males aged over 20 in each of nine occupational categories. Here we group those nine into four to identify the main sectors: "Agriculture" combines large- and small-scale farmers with agricultural labourers. "Manufacturing" focuses on new factory-based industries. "Retail and handicrafts" covers those in small businesses who sold products they made themselves. "Other" covers "capitalists" and professionals, labourers outside agriculture, servants ...

and "others".


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10142556/cube/INDUSTRY_GEN_2021

Date accessed: 06th June 2026