South Staffordshire 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 3,660 Show data context 1,850 Show data context 6,614 Show data context 2 Show data context 6 Show data context 751 Show data context 636 Show data context 318 Show data context 221 Show data context 1 Show data context 8 Show data context 16 Show data context 45 Show data context 358 Show data context 69 Show data context 139 Show data context 60 Show data context 2,821 Show data context
1861 4,621 Show data context 4,815 Show data context 15,967 Show data context 31 Show data context 36 Show data context 1,870 Show data context 2,208 Show data context 1,811 Show data context 1,076 Show data context 34 Show data context 65 Show data context 278 Show data context 166 Show data context 277 Show data context 211 Show data context 382 Show data context 114 Show data context 3,508 Show data context
1881 3,106 Show data context 1,410 Show data context 4,260 Show data context 20 Show data context 5 Show data context 737 Show data context 546 Show data context 556 Show data context 204 Show data context 13 Show data context 29 Show data context 22 Show data context 67 Show data context 218 Show data context 145 Show data context 260 Show data context 55 Show data context 2,724 Show data context
1911 3,512 Show data context 2,548 Show data context 4,716 Show data context 44 Show data context 11 Show data context 807 Show data context 908 Show data context 990 Show data context 276 Show data context 20 Show data context 80 Show data context 0 Show data context 54 Show data context 281 Show data context 491 Show data context 312 Show data context 182 Show data context 2,532 Show data context
1931 2,641 Show data context 3,507 Show data context 5,950 Show data context 137 Show data context 62 Show data context 1,008 Show data context 1,753 Show data context 919 Show data context 508 Show data context 4 Show data context 150 Show data context 30 Show data context 105 Show data context 1 Show data context 547 Show data context 385 Show data context 267 Show data context 2,305 Show data context
1951 3,134 Show data context 6,273 Show data context 6,739 Show data context 71 Show data context 93 Show data context 1,173 Show data context 1,465 Show data context 627 Show data context 775 Show data context 0 Show data context 94 Show data context 0 Show data context 60 Show data context 0 Show data context 1,054 Show data context 450 Show data context 395 Show data context 1,140 Show data context
1971 1,693 Show data context 1,387 Show data context 12,576 Show data context 394 Show data context 59 Show data context 2,206 Show data context 3,223 Show data context 1,159 Show data context 635 Show data context 123 Show data context 361 Show data context 54 Show data context 262 Show data context 140 Show data context 1,705 Show data context 1,562 Show data context 699 Show data context 796 Show data context
2011 571 Show data context 46 Show data context 6,473 Show data context 332 Show data context 523 Show data context 5,267 Show data context 8,986 Show data context 2,050 Show data context 2,298 Show data context 1,305 Show data context 1,999 Show data context 860 Show data context 2,704 Show data context 2,145 Show data context 3,543 Show data context 5,598 Show data context 6,201 Show data context 2,427 Show data context
2021 547 Show data context 39 Show data context 4,986 Show data context 296 Show data context 568 Show data context 5,974 Show data context 7,690 Show data context 2,131 Show data context 1,867 Show data context 1,390 Show data context 1,626 Show data context 900 Show data context 2,716 Show data context 2,260 Show data context 3,497 Show data context 5,467 Show data context 6,703 Show data context 2,062 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, South Staffordshire District through time | Historical Statistics on Industry | Standard Industrial Classification (2007), A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10057206/cube/INDUSTRY_GEN_2021

Date accessed: 05th June 2026