Sunderland 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 858 Show data context 840 Show data context 5,352 Show data context 0 Show data context 4 Show data context 1,693 Show data context 1,017 Show data context 3,789 Show data context 265 Show data context 0 Show data context 20 Show data context 9 Show data context 68 Show data context 471 Show data context 414 Show data context 135 Show data context 94 Show data context 2,433 Show data context
1861 1,650 Show data context 4,773 Show data context 11,710 Show data context 34 Show data context 20 Show data context 2,066 Show data context 2,247 Show data context 5,883 Show data context 720 Show data context 43 Show data context 68 Show data context 343 Show data context 152 Show data context 184 Show data context 308 Show data context 352 Show data context 164 Show data context 3,045 Show data context
1881 1,395 Show data context 10,704 Show data context 20,727 Show data context 71 Show data context 19 Show data context 3,991 Show data context 3,480 Show data context 5,273 Show data context 784 Show data context 70 Show data context 224 Show data context 58 Show data context 367 Show data context 1,013 Show data context 689 Show data context 784 Show data context 297 Show data context 7,365 Show data context
1911 2,562 Show data context 21,704 Show data context 31,526 Show data context 489 Show data context 111 Show data context 5,165 Show data context 7,970 Show data context 8,620 Show data context 1,841 Show data context 285 Show data context 698 Show data context 0 Show data context 436 Show data context 1,938 Show data context 1,247 Show data context 1,662 Show data context 721 Show data context 10,003 Show data context
1931 1,302 Show data context 24,694 Show data context 16,628 Show data context 1,053 Show data context 229 Show data context 3,426 Show data context 13,564 Show data context 5,652 Show data context 1,989 Show data context 33 Show data context 969 Show data context 193 Show data context 715 Show data context 7 Show data context 3,233 Show data context 2,334 Show data context 1,345 Show data context 8,109 Show data context
1951 922 Show data context 19,041 Show data context 40,970 Show data context 1,369 Show data context 255 Show data context 6,674 Show data context 13,524 Show data context 6,857 Show data context 3,457 Show data context 0 Show data context 1,074 Show data context 0 Show data context 847 Show data context 0 Show data context 4,003 Show data context 2,547 Show data context 3,070 Show data context 4,600 Show data context
1971 710 Show data context 7,784 Show data context 44,540 Show data context 1,575 Show data context 308 Show data context 7,063 Show data context 20,504 Show data context 5,537 Show data context 2,885 Show data context 1,422 Show data context 1,639 Show data context 161 Show data context 1,305 Show data context 275 Show data context 5,403 Show data context 6,275 Show data context 4,934 Show data context 3,456 Show data context
2011 132 Show data context 441 Show data context 14,065 Show data context 2,138 Show data context 983 Show data context 9,345 Show data context 19,613 Show data context 6,325 Show data context 6,813 Show data context 2,825 Show data context 4,684 Show data context 2,028 Show data context 3,841 Show data context 6,028 Show data context 9,471 Show data context 10,845 Show data context 16,641 Show data context 5,293 Show data context
2021 144 Show data context 425 Show data context 12,824 Show data context 1,997 Show data context 871 Show data context 9,505 Show data context 18,449 Show data context 5,742 Show data context 5,531 Show data context 3,169 Show data context 4,089 Show data context 1,751 Show data context 3,570 Show data context 5,951 Show data context 9,453 Show data context 10,263 Show data context 18,903 Show data context 4,535 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


Number of persons with or without a university degree or equivalent qualification.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10057024/cube/INDUSTRY_GEN_2021

Date accessed: 06th June 2026