Wealden 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 7,831 Show data context 20 Show data context 2,302 Show data context 2 Show data context 3 Show data context 946 Show data context 579 Show data context 378 Show data context 152 Show data context 0 Show data context 6 Show data context 17 Show data context 51 Show data context 286 Show data context 273 Show data context 157 Show data context 97 Show data context 3,397 Show data context
1861 8,531 Show data context 22 Show data context 2,368 Show data context 10 Show data context 4 Show data context 1,059 Show data context 786 Show data context 678 Show data context 376 Show data context 4 Show data context 5 Show data context 181 Show data context 71 Show data context 54 Show data context 284 Show data context 232 Show data context 127 Show data context 2,246 Show data context
1881 6,816 Show data context 15 Show data context 2,003 Show data context 12 Show data context 2 Show data context 1,481 Show data context 893 Show data context 444 Show data context 233 Show data context 18 Show data context 12 Show data context 24 Show data context 75 Show data context 88 Show data context 206 Show data context 330 Show data context 89 Show data context 3,657 Show data context
1911 8,111 Show data context 95 Show data context 2,533 Show data context 69 Show data context 15 Show data context 1,938 Show data context 1,733 Show data context 1,303 Show data context 559 Show data context 60 Show data context 108 Show data context 0 Show data context 151 Show data context 184 Show data context 532 Show data context 611 Show data context 617 Show data context 7,991 Show data context
1931 6,053 Show data context 51 Show data context 2,476 Show data context 131 Show data context 102 Show data context 2,662 Show data context 3,028 Show data context 1,463 Show data context 1,132 Show data context 9 Show data context 235 Show data context 103 Show data context 237 Show data context 4 Show data context 1,105 Show data context 826 Show data context 634 Show data context 8,227 Show data context
1951 6,634 Show data context 9 Show data context 2,315 Show data context 241 Show data context 108 Show data context 2,879 Show data context 3,616 Show data context 1,422 Show data context 1,286 Show data context 0 Show data context 381 Show data context 0 Show data context 429 Show data context 0 Show data context 2,891 Show data context 910 Show data context 846 Show data context 4,896 Show data context
1971 2,656 Show data context 44 Show data context 6,048 Show data context 552 Show data context 104 Show data context 3,691 Show data context 5,596 Show data context 1,728 Show data context 944 Show data context 364 Show data context 736 Show data context 291 Show data context 748 Show data context 166 Show data context 2,628 Show data context 2,646 Show data context 1,647 Show data context 2,345 Show data context
2011 1,120 Show data context 52 Show data context 4,403 Show data context 246 Show data context 452 Show data context 7,232 Show data context 11,175 Show data context 2,668 Show data context 3,423 Show data context 2,460 Show data context 3,637 Show data context 1,137 Show data context 5,501 Show data context 3,467 Show data context 3,310 Show data context 7,026 Show data context 9,538 Show data context 4,237 Show data context
2021 1,203 Show data context 44 Show data context 3,883 Show data context 274 Show data context 536 Show data context 8,660 Show data context 10,451 Show data context 2,332 Show data context 3,024 Show data context 3,032 Show data context 3,644 Show data context 1,356 Show data context 5,619 Show data context 4,316 Show data context 3,878 Show data context 6,966 Show data context 11,058 Show data context 4,240 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


This system of four "Levels" appears in the census Small Area Statistics for 2001, 2011 and 2021/2, and the full definitions of the levels include a wide range of broadly equivalent qualifications.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10105304/cube/INDUSTRY_GEN_2021

Date accessed: 05th June 2026