Three Rivers 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 1,037 Show data context 1 Show data context 673 Show data context 0 Show data context 3 Show data context 136 Show data context 106 Show data context 38 Show data context 40 Show data context 0 Show data context 1 Show data context 2 Show data context 8 Show data context 51 Show data context 15 Show data context 26 Show data context 15 Show data context 496 Show data context
1861 1,235 Show data context 1 Show data context 1,133 Show data context 3 Show data context 6 Show data context 310 Show data context 250 Show data context 157 Show data context 148 Show data context 5 Show data context 6 Show data context 77 Show data context 37 Show data context 15 Show data context 35 Show data context 70 Show data context 45 Show data context 832 Show data context
1881 832 Show data context 5 Show data context 1,332 Show data context 6 Show data context 1 Show data context 478 Show data context 302 Show data context 319 Show data context 115 Show data context 12 Show data context 14 Show data context 6 Show data context 50 Show data context 78 Show data context 68 Show data context 137 Show data context 67 Show data context 1,385 Show data context
1911 1,498 Show data context 19 Show data context 1,441 Show data context 27 Show data context 8 Show data context 592 Show data context 567 Show data context 519 Show data context 186 Show data context 26 Show data context 70 Show data context 0 Show data context 63 Show data context 179 Show data context 178 Show data context 188 Show data context 163 Show data context 1,907 Show data context
1931 547 Show data context 63 Show data context 2,183 Show data context 77 Show data context 90 Show data context 1,000 Show data context 1,323 Show data context 766 Show data context 299 Show data context 65 Show data context 340 Show data context 60 Show data context 211 Show data context 1 Show data context 373 Show data context 346 Show data context 299 Show data context 2,714 Show data context
1951 609 Show data context 34 Show data context 5,759 Show data context 92 Show data context 166 Show data context 2,271 Show data context 1,631 Show data context 586 Show data context 595 Show data context 0 Show data context 217 Show data context 0 Show data context 189 Show data context 0 Show data context 1,013 Show data context 734 Show data context 764 Show data context 1,864 Show data context
1971 659 Show data context 90 Show data context 9,893 Show data context 284 Show data context 88 Show data context 1,903 Show data context 3,337 Show data context 1,073 Show data context 434 Show data context 653 Show data context 379 Show data context 144 Show data context 725 Show data context 178 Show data context 1,318 Show data context 1,653 Show data context 912 Show data context 868 Show data context
2011 75 Show data context 46 Show data context 2,241 Show data context 136 Show data context 301 Show data context 3,938 Show data context 6,658 Show data context 2,175 Show data context 1,681 Show data context 2,820 Show data context 2,416 Show data context 799 Show data context 4,080 Show data context 2,300 Show data context 2,455 Show data context 4,482 Show data context 4,846 Show data context 2,550 Show data context
2021 88 Show data context 36 Show data context 2,180 Show data context 189 Show data context 296 Show data context 4,920 Show data context 6,031 Show data context 1,873 Show data context 1,657 Show data context 3,506 Show data context 2,280 Show data context 1,062 Show data context 4,262 Show data context 2,594 Show data context 2,418 Show data context 5,089 Show data context 6,082 Show data context 2,426 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 full National Statistics Socio-cconomic Classification includes classes for persons of working age who were outside the workforce, i.e. those who have never worked, the long-term unemployed and full-time students, who are included here as a separate sub-total and should be excluded in the calculation of rates.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10198173/cube/INDUSTRY_GEN_2021

Date accessed: 05th June 2026