North Warwickshire 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 2,728 Show data context 128 Show data context 2,074 Show data context 1 Show data context 1 Show data context 354 Show data context 248 Show data context 101 Show data context 89 Show data context 0 Show data context 1 Show data context 4 Show data context 18 Show data context 126 Show data context 29 Show data context 68 Show data context 29 Show data context 1,354 Show data context
1861 3,208 Show data context 597 Show data context 4,700 Show data context 17 Show data context 6 Show data context 726 Show data context 587 Show data context 410 Show data context 238 Show data context 11 Show data context 13 Show data context 120 Show data context 57 Show data context 89 Show data context 105 Show data context 162 Show data context 59 Show data context 1,399 Show data context
1881 1,811 Show data context 1,109 Show data context 3,830 Show data context 23 Show data context 4 Show data context 643 Show data context 432 Show data context 398 Show data context 128 Show data context 10 Show data context 31 Show data context 7 Show data context 50 Show data context 199 Show data context 104 Show data context 183 Show data context 44 Show data context 1,630 Show data context
1911 3,175 Show data context 2,153 Show data context 2,833 Show data context 36 Show data context 26 Show data context 792 Show data context 701 Show data context 727 Show data context 227 Show data context 20 Show data context 71 Show data context 0 Show data context 44 Show data context 183 Show data context 244 Show data context 240 Show data context 142 Show data context 2,399 Show data context
1931 1,497 Show data context 6,324 Show data context 3,870 Show data context 100 Show data context 29 Show data context 629 Show data context 1,114 Show data context 571 Show data context 222 Show data context 5 Show data context 95 Show data context 22 Show data context 87 Show data context 1 Show data context 506 Show data context 330 Show data context 179 Show data context 1,381 Show data context
1951 1,462 Show data context 6,691 Show data context 3,712 Show data context 348 Show data context 29 Show data context 816 Show data context 1,225 Show data context 589 Show data context 465 Show data context 0 Show data context 74 Show data context 0 Show data context 47 Show data context 0 Show data context 604 Show data context 346 Show data context 389 Show data context 634 Show data context
1971 861 Show data context 903 Show data context 6,475 Show data context 232 Show data context 24 Show data context 1,539 Show data context 1,990 Show data context 677 Show data context 531 Show data context 123 Show data context 232 Show data context 46 Show data context 269 Show data context 84 Show data context 1,293 Show data context 874 Show data context 522 Show data context 518 Show data context
2011 352 Show data context 175 Show data context 3,979 Show data context 211 Show data context 312 Show data context 2,814 Show data context 5,447 Show data context 2,806 Show data context 1,566 Show data context 806 Show data context 809 Show data context 370 Show data context 1,367 Show data context 1,544 Show data context 1,415 Show data context 2,795 Show data context 3,142 Show data context 1,348 Show data context
2021 352 Show data context 33 Show data context 3,546 Show data context 220 Show data context 297 Show data context 3,266 Show data context 5,519 Show data context 2,927 Show data context 1,271 Show data context 930 Show data context 709 Show data context 380 Show data context 1,371 Show data context 1,631 Show data context 1,565 Show data context 2,834 Show data context 3,638 Show data context 1,261 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, North Warwickshire District through time | Historical Statistics on Industry | Standard Industrial Classification (2007), A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10202644/cube/INDUSTRY_GEN_2021

Date accessed: 06th June 2026