Fenland 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 5,488 Show data context 42 Show data context 1,368 Show data context 1 Show data context 1 Show data context 504 Show data context 366 Show data context 167 Show data context 169 Show data context 0 Show data context 2 Show data context 5 Show data context 29 Show data context 211 Show data context 39 Show data context 100 Show data context 68 Show data context 1,809 Show data context
1861 7,414 Show data context 1 Show data context 2,087 Show data context 9 Show data context 4 Show data context 519 Show data context 683 Show data context 307 Show data context 426 Show data context 5 Show data context 9 Show data context 225 Show data context 61 Show data context 43 Show data context 86 Show data context 153 Show data context 95 Show data context 1,170 Show data context
1881 5,755 Show data context 6 Show data context 1,962 Show data context 19 Show data context 3 Show data context 718 Show data context 795 Show data context 567 Show data context 216 Show data context 7 Show data context 33 Show data context 25 Show data context 93 Show data context 122 Show data context 127 Show data context 246 Show data context 90 Show data context 2,263 Show data context
1911 8,178 Show data context 57 Show data context 2,982 Show data context 42 Show data context 11 Show data context 966 Show data context 1,666 Show data context 1,677 Show data context 460 Show data context 45 Show data context 98 Show data context 0 Show data context 102 Show data context 154 Show data context 306 Show data context 357 Show data context 154 Show data context 2,665 Show data context
1931 8,486 Show data context 61 Show data context 2,593 Show data context 131 Show data context 21 Show data context 858 Show data context 2,627 Show data context 2,348 Show data context 380 Show data context 1 Show data context 138 Show data context 38 Show data context 148 Show data context 1 Show data context 735 Show data context 372 Show data context 201 Show data context 1,901 Show data context
1951 8,972 Show data context 34 Show data context 3,921 Show data context 275 Show data context 77 Show data context 1,479 Show data context 3,905 Show data context 2,962 Show data context 643 Show data context 0 Show data context 223 Show data context 0 Show data context 275 Show data context 0 Show data context 1,116 Show data context 464 Show data context 464 Show data context 1,292 Show data context
1971 3,289 Show data context 25 Show data context 4,469 Show data context 155 Show data context 49 Show data context 1,896 Show data context 2,329 Show data context 1,047 Show data context 288 Show data context 207 Show data context 186 Show data context 24 Show data context 403 Show data context 32 Show data context 1,478 Show data context 847 Show data context 476 Show data context 600 Show data context
2011 1,466 Show data context 29 Show data context 6,941 Show data context 133 Show data context 409 Show data context 4,318 Show data context 7,662 Show data context 2,552 Show data context 1,518 Show data context 853 Show data context 976 Show data context 518 Show data context 1,830 Show data context 2,745 Show data context 2,804 Show data context 3,274 Show data context 4,797 Show data context 1,689 Show data context
2021 1,302 Show data context 31 Show data context 6,453 Show data context 259 Show data context 506 Show data context 5,127 Show data context 8,063 Show data context 2,867 Show data context 1,648 Show data context 1,131 Show data context 869 Show data context 520 Show data context 2,061 Show data context 2,803 Show data context 2,551 Show data context 3,516 Show data context 5,699 Show data context 1,745 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 1831 census provided information at parish-level on the number of males aged over 20 in each of nine occupational categories. Here we group those nine into four to identify the main sectors: "Agriculture" combines large- and small-scale farmers with agricultural labourers. "Manufacturing" focuses on new factory-based industries. "Retail and handicrafts" covers those in small businesses who sold products they made themselves. "Other" covers "capitalists" and professionals, labourers outside agriculture, servants ...

and "others".


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10033068/cube/INDUSTRY_GEN_2021

Date accessed: 05th June 2026