Runnymede 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 854 Show data context 10 Show data context 1,103 Show data context 2 Show data context 3 Show data context 385 Show data context 383 Show data context 202 Show data context 60 Show data context 2 Show data context 13 Show data context 12 Show data context 50 Show data context 341 Show data context 89 Show data context 93 Show data context 63 Show data context 1,564 Show data context
1861 1,099 Show data context 3 Show data context 819 Show data context 6 Show data context 4 Show data context 426 Show data context 295 Show data context 158 Show data context 194 Show data context 5 Show data context 11 Show data context 60 Show data context 51 Show data context 35 Show data context 451 Show data context 83 Show data context 40 Show data context 1,217 Show data context
1881 916 Show data context 13 Show data context 932 Show data context 10 Show data context 2 Show data context 1,105 Show data context 358 Show data context 255 Show data context 133 Show data context 11 Show data context 23 Show data context 9 Show data context 77 Show data context 89 Show data context 78 Show data context 145 Show data context 62 Show data context 1,603 Show data context
1911 543 Show data context 12 Show data context 1,788 Show data context 87 Show data context 20 Show data context 980 Show data context 1,225 Show data context 896 Show data context 289 Show data context 74 Show data context 190 Show data context 0 Show data context 175 Show data context 530 Show data context 728 Show data context 269 Show data context 358 Show data context 3,584 Show data context
1931 626 Show data context 53 Show data context 3,393 Show data context 248 Show data context 90 Show data context 1,259 Show data context 1,909 Show data context 723 Show data context 405 Show data context 44 Show data context 260 Show data context 41 Show data context 372 Show data context 1 Show data context 596 Show data context 404 Show data context 509 Show data context 3,314 Show data context
1951 710 Show data context 123 Show data context 8,314 Show data context 323 Show data context 124 Show data context 1,361 Show data context 2,099 Show data context 622 Show data context 781 Show data context 0 Show data context 159 Show data context 0 Show data context 336 Show data context 0 Show data context 1,769 Show data context 875 Show data context 1,820 Show data context 1,847 Show data context
1971 784 Show data context 29 Show data context 6,697 Show data context 250 Show data context 105 Show data context 2,323 Show data context 3,373 Show data context 1,743 Show data context 622 Show data context 502 Show data context 686 Show data context 108 Show data context 987 Show data context 234 Show data context 2,380 Show data context 1,508 Show data context 1,212 Show data context 1,428 Show data context
2011 109 Show data context 160 Show data context 2,426 Show data context 259 Show data context 199 Show data context 2,915 Show data context 6,344 Show data context 3,518 Show data context 2,135 Show data context 2,765 Show data context 1,358 Show data context 586 Show data context 3,313 Show data context 2,223 Show data context 1,905 Show data context 3,788 Show data context 4,182 Show data context 2,466 Show data context
2021 114 Show data context 137 Show data context 2,262 Show data context 262 Show data context 242 Show data context 3,604 Show data context 5,741 Show data context 2,871 Show data context 1,891 Show data context 3,413 Show data context 1,464 Show data context 738 Show data context 3,002 Show data context 2,535 Show data context 1,992 Show data context 4,419 Show data context 5,209 Show data context 2,495 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 classification of industry is that used by the 2021 Census, and forms the basic for our standardisation of historical information on industrial structure. The modern data are a classification of workers by their employers' business and count them by their place of work. However, before 1951 they are counted by place of residence, and before 1921 workers have to be classified by their individual occupations.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10056500/cube/INDUSTRY_GEN_2021

Date accessed: 04th June 2026