Cherwell 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 6,095 Show data context 14 Show data context 2,411 Show data context 0 Show data context 5 Show data context 734 Show data context 516 Show data context 159 Show data context 187 Show data context 0 Show data context 5 Show data context 11 Show data context 43 Show data context 183 Show data context 65 Show data context 126 Show data context 67 Show data context 2,203 Show data context
1861 7,123 Show data context 42 Show data context 3,321 Show data context 6 Show data context 4 Show data context 942 Show data context 871 Show data context 381 Show data context 392 Show data context 7 Show data context 8 Show data context 160 Show data context 81 Show data context 39 Show data context 95 Show data context 236 Show data context 88 Show data context 2,002 Show data context
1881 5,140 Show data context 18 Show data context 2,740 Show data context 16 Show data context 3 Show data context 1,073 Show data context 811 Show data context 424 Show data context 237 Show data context 23 Show data context 29 Show data context 21 Show data context 93 Show data context 130 Show data context 162 Show data context 344 Show data context 76 Show data context 3,155 Show data context
1911 4,774 Show data context 82 Show data context 3,661 Show data context 51 Show data context 14 Show data context 1,453 Show data context 1,444 Show data context 1,143 Show data context 442 Show data context 50 Show data context 96 Show data context 0 Show data context 95 Show data context 234 Show data context 433 Show data context 451 Show data context 211 Show data context 4,305 Show data context
1931 3,236 Show data context 219 Show data context 2,927 Show data context 146 Show data context 23 Show data context 1,180 Show data context 2,258 Show data context 1,471 Show data context 355 Show data context 5 Show data context 137 Show data context 58 Show data context 100 Show data context 1 Show data context 1,245 Show data context 478 Show data context 258 Show data context 3,267 Show data context
1951 3,065 Show data context 176 Show data context 6,075 Show data context 280 Show data context 28 Show data context 2,405 Show data context 2,922 Show data context 1,938 Show data context 1,048 Show data context 0 Show data context 239 Show data context 0 Show data context 175 Show data context 0 Show data context 9,342 Show data context 616 Show data context 554 Show data context 2,446 Show data context
1971 1,898 Show data context 85 Show data context 5,637 Show data context 250 Show data context 45 Show data context 2,935 Show data context 3,291 Show data context 1,113 Show data context 649 Show data context 381 Show data context 321 Show data context 118 Show data context 740 Show data context 90 Show data context 4,618 Show data context 1,421 Show data context 831 Show data context 2,194 Show data context
2011 867 Show data context 34 Show data context 8,621 Show data context 262 Show data context 473 Show data context 5,519 Show data context 13,217 Show data context 3,380 Show data context 3,253 Show data context 3,655 Show data context 1,827 Show data context 808 Show data context 4,971 Show data context 3,401 Show data context 5,022 Show data context 7,836 Show data context 7,864 Show data context 3,819 Show data context
2021 912 Show data context 91 Show data context 8,662 Show data context 349 Show data context 623 Show data context 6,627 Show data context 14,536 Show data context 3,979 Show data context 3,770 Show data context 4,397 Show data context 1,645 Show data context 1,076 Show data context 5,820 Show data context 4,405 Show data context 4,639 Show data context 8,807 Show data context 10,496 Show data context 4,098 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


The National Statistics Socio-economic Classfication has been used by the census since 2001 "to measure the employment relations and conditions of occupations", replacing the earlier system of Socio-Economic Groups.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10056494/cube/INDUSTRY_GEN_2021

Date accessed: 06th June 2026