Swale 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 4,114 Show data context 8 Show data context 1,480 Show data context 1 Show data context 5 Show data context 521 Show data context 421 Show data context 341 Show data context 132 Show data context 1 Show data context 8 Show data context 8 Show data context 41 Show data context 255 Show data context 246 Show data context 118 Show data context 70 Show data context 2,363 Show data context
1861 4,475 Show data context 9 Show data context 2,880 Show data context 14 Show data context 6 Show data context 650 Show data context 777 Show data context 769 Show data context 427 Show data context 7 Show data context 10 Show data context 143 Show data context 43 Show data context 37 Show data context 4,222 Show data context 193 Show data context 83 Show data context 1,541 Show data context
1881 3,964 Show data context 32 Show data context 6,955 Show data context 26 Show data context 8 Show data context 1,131 Show data context 1,145 Show data context 2,269 Show data context 327 Show data context 16 Show data context 43 Show data context 12 Show data context 77 Show data context 114 Show data context 1,535 Show data context 354 Show data context 113 Show data context 2,970 Show data context
1911 4,541 Show data context 188 Show data context 6,624 Show data context 167 Show data context 40 Show data context 2,314 Show data context 2,941 Show data context 2,820 Show data context 1,021 Show data context 150 Show data context 293 Show data context 0 Show data context 232 Show data context 776 Show data context 2,314 Show data context 646 Show data context 585 Show data context 6,588 Show data context
1931 3,843 Show data context 50 Show data context 10,328 Show data context 291 Show data context 44 Show data context 1,177 Show data context 4,014 Show data context 1,869 Show data context 686 Show data context 42 Show data context 236 Show data context 50 Show data context 211 Show data context 1 Show data context 3,394 Show data context 540 Show data context 487 Show data context 2,957 Show data context
1951 4,407 Show data context 25 Show data context 11,591 Show data context 403 Show data context 64 Show data context 1,895 Show data context 4,992 Show data context 2,241 Show data context 1,007 Show data context 0 Show data context 258 Show data context 0 Show data context 148 Show data context 0 Show data context 4,007 Show data context 753 Show data context 608 Show data context 1,684 Show data context
1971 1,741 Show data context 469 Show data context 9,040 Show data context 614 Show data context 88 Show data context 2,912 Show data context 4,327 Show data context 2,635 Show data context 784 Show data context 489 Show data context 576 Show data context 142 Show data context 664 Show data context 124 Show data context 2,132 Show data context 1,606 Show data context 1,229 Show data context 1,227 Show data context
2011 932 Show data context 45 Show data context 6,495 Show data context 305 Show data context 666 Show data context 6,677 Show data context 10,356 Show data context 3,939 Show data context 2,795 Show data context 1,409 Show data context 2,220 Show data context 873 Show data context 3,094 Show data context 3,063 Show data context 4,468 Show data context 5,960 Show data context 6,826 Show data context 2,687 Show data context
2021 791 Show data context 38 Show data context 5,681 Show data context 388 Show data context 730 Show data context 8,489 Show data context 11,196 Show data context 4,352 Show data context 2,855 Show data context 1,950 Show data context 2,033 Show data context 1,167 Show data context 3,305 Show data context 3,662 Show data context 4,664 Show data context 6,520 Show data context 8,675 Show data context 2,683 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, Swale District through time | Historical Statistics on Industry | Standard Industrial Classification (2007), A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10056482/cube/INDUSTRY_GEN_2021

Date accessed: 05th June 2026