Hertsmere 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 1,282 Show data context 2 Show data context 850 Show data context 1 Show data context 5 Show data context 220 Show data context 175 Show data context 83 Show data context 62 Show data context 0 Show data context 3 Show data context 6 Show data context 18 Show data context 115 Show data context 43 Show data context 49 Show data context 31 Show data context 889 Show data context
1861 1,528 Show data context 3 Show data context 1,399 Show data context 5 Show data context 6 Show data context 451 Show data context 384 Show data context 206 Show data context 207 Show data context 13 Show data context 9 Show data context 85 Show data context 65 Show data context 42 Show data context 108 Show data context 140 Show data context 134 Show data context 1,504 Show data context
1881 886 Show data context 2 Show data context 600 Show data context 8 Show data context 1 Show data context 381 Show data context 221 Show data context 220 Show data context 88 Show data context 8 Show data context 16 Show data context 10 Show data context 49 Show data context 66 Show data context 150 Show data context 118 Show data context 39 Show data context 1,216 Show data context
1911 1,497 Show data context 20 Show data context 1,656 Show data context 35 Show data context 10 Show data context 674 Show data context 702 Show data context 609 Show data context 207 Show data context 34 Show data context 90 Show data context 0 Show data context 79 Show data context 225 Show data context 224 Show data context 212 Show data context 172 Show data context 2,123 Show data context
1931 656 Show data context 49 Show data context 2,838 Show data context 158 Show data context 84 Show data context 1,311 Show data context 1,802 Show data context 1,216 Show data context 446 Show data context 148 Show data context 522 Show data context 88 Show data context 288 Show data context 3 Show data context 723 Show data context 500 Show data context 441 Show data context 3,386 Show data context
1951 539 Show data context 24 Show data context 10,000 Show data context 157 Show data context 252 Show data context 2,645 Show data context 2,209 Show data context 1,324 Show data context 875 Show data context 0 Show data context 296 Show data context 0 Show data context 229 Show data context 0 Show data context 1,172 Show data context 855 Show data context 1,785 Show data context 1,587 Show data context
1971 916 Show data context 131 Show data context 14,844 Show data context 466 Show data context 128 Show data context 3,044 Show data context 5,430 Show data context 1,754 Show data context 671 Show data context 999 Show data context 676 Show data context 233 Show data context 1,124 Show data context 312 Show data context 2,133 Show data context 2,482 Show data context 1,497 Show data context 1,429 Show data context
2011 95 Show data context 30 Show data context 2,221 Show data context 165 Show data context 221 Show data context 3,849 Show data context 8,195 Show data context 2,316 Show data context 2,097 Show data context 2,811 Show data context 2,850 Show data context 1,344 Show data context 4,591 Show data context 2,697 Show data context 2,236 Show data context 5,126 Show data context 5,517 Show data context 3,067 Show data context
2021 107 Show data context 32 Show data context 1,984 Show data context 228 Show data context 241 Show data context 5,200 Show data context 7,198 Show data context 2,200 Show data context 2,067 Show data context 3,344 Show data context 2,649 Show data context 1,746 Show data context 5,078 Show data context 3,070 Show data context 2,135 Show data context 5,684 Show data context 7,005 Show data context 2,781 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 data matrix presents simplified version of the 1881 occupational data, using the 24 'Orders' used in the published reports for 1881, plus an 'Unknown' category. Many of these categories combine 'Workers and Dealers' in different commodities, so it is impossible to distinguish workers in manufacturing and services.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10057292/cube/INDUSTRY_GEN_2021

Date accessed: 06th June 2026