North Somerset Unitary Authority (UA) : 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 3,774 Show data context 352 Show data context 2,214 Show data context 1 Show data context 3 Show data context 825 Show data context 365 Show data context 151 Show data context 105 Show data context 5 Show data context 5 Show data context 8 Show data context 53 Show data context 168 Show data context 62 Show data context 102 Show data context 60 Show data context 2,089 Show data context
1861 5,067 Show data context 588 Show data context 4,535 Show data context 9 Show data context 5 Show data context 1,352 Show data context 1,068 Show data context 1,089 Show data context 512 Show data context 29 Show data context 15 Show data context 384 Show data context 141 Show data context 137 Show data context 225 Show data context 341 Show data context 148 Show data context 2,933 Show data context
1881 3,115 Show data context 185 Show data context 2,363 Show data context 27 Show data context 6 Show data context 1,603 Show data context 878 Show data context 846 Show data context 436 Show data context 31 Show data context 48 Show data context 24 Show data context 166 Show data context 160 Show data context 279 Show data context 557 Show data context 196 Show data context 5,160 Show data context
1911 3,968 Show data context 1,014 Show data context 9,726 Show data context 116 Show data context 31 Show data context 1,966 Show data context 2,680 Show data context 2,259 Show data context 935 Show data context 140 Show data context 257 Show data context 0 Show data context 178 Show data context 680 Show data context 618 Show data context 778 Show data context 485 Show data context 6,666 Show data context
1931 3,220 Show data context 557 Show data context 6,378 Show data context 549 Show data context 115 Show data context 2,496 Show data context 5,297 Show data context 2,840 Show data context 1,465 Show data context 46 Show data context 535 Show data context 143 Show data context 387 Show data context 3 Show data context 1,342 Show data context 1,078 Show data context 860 Show data context 7,325 Show data context
1951 3,217 Show data context 471 Show data context 6,262 Show data context 1,276 Show data context 103 Show data context 2,825 Show data context 6,163 Show data context 2,686 Show data context 2,380 Show data context 0 Show data context 656 Show data context 0 Show data context 454 Show data context 0 Show data context 2,552 Show data context 1,232 Show data context 1,881 Show data context 3,245 Show data context
1971 2,172 Show data context 297 Show data context 13,618 Show data context 1,099 Show data context 67 Show data context 4,101 Show data context 8,641 Show data context 2,795 Show data context 2,004 Show data context 1,015 Show data context 1,104 Show data context 224 Show data context 901 Show data context 186 Show data context 4,073 Show data context 2,861 Show data context 1,979 Show data context 1,970 Show data context
2011 890 Show data context 164 Show data context 7,998 Show data context 432 Show data context 1,049 Show data context 7,585 Show data context 16,703 Show data context 4,686 Show data context 4,857 Show data context 3,585 Show data context 5,085 Show data context 1,562 Show data context 6,443 Show data context 4,340 Show data context 6,126 Show data context 8,663 Show data context 12,883 Show data context 4,512 Show data context
2021 736 Show data context 196 Show data context 7,233 Show data context 593 Show data context 1,214 Show data context 9,273 Show data context 15,842 Show data context 4,789 Show data context 4,708 Show data context 4,351 Show data context 4,173 Show data context 1,826 Show data context 7,261 Show data context 4,984 Show data context 6,374 Show data context 9,749 Show data context 14,957 Show data context 4,402 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, North Somerset Unitary Authority (UA) through time | Historical Statistics on Industry | Standard Industrial Classification (2007), A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10207289/cube/INDUSTRY_GEN_2021

Date accessed: 06th June 2026