Stroud 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 4,194 Show data context 417 Show data context 2,923 Show data context 1 Show data context 2 Show data context 811 Show data context 440 Show data context 262 Show data context 130 Show data context 0 Show data context 5 Show data context 12 Show data context 58 Show data context 209 Show data context 89 Show data context 130 Show data context 58 Show data context 2,546 Show data context
1861 6,363 Show data context 114 Show data context 9,368 Show data context 11 Show data context 29 Show data context 1,568 Show data context 1,369 Show data context 919 Show data context 578 Show data context 14 Show data context 13 Show data context 299 Show data context 145 Show data context 111 Show data context 161 Show data context 363 Show data context 150 Show data context 3,160 Show data context
1881 3,736 Show data context 72 Show data context 9,911 Show data context 25 Show data context 6 Show data context 1,700 Show data context 1,101 Show data context 1,104 Show data context 341 Show data context 24 Show data context 51 Show data context 15 Show data context 144 Show data context 239 Show data context 289 Show data context 482 Show data context 135 Show data context 4,275 Show data context
1911 5,781 Show data context 1,904 Show data context 6,591 Show data context 79 Show data context 10 Show data context 1,746 Show data context 1,846 Show data context 1,737 Show data context 637 Show data context 69 Show data context 157 Show data context 0 Show data context 117 Show data context 348 Show data context 521 Show data context 645 Show data context 419 Show data context 6,018 Show data context
1931 2,876 Show data context 154 Show data context 10,498 Show data context 216 Show data context 22 Show data context 1,412 Show data context 2,704 Show data context 1,573 Show data context 640 Show data context 12 Show data context 200 Show data context 47 Show data context 209 Show data context 2 Show data context 801 Show data context 781 Show data context 499 Show data context 4,326 Show data context
1951 2,377 Show data context 91 Show data context 18,371 Show data context 431 Show data context 41 Show data context 1,929 Show data context 3,106 Show data context 1,467 Show data context 1,290 Show data context 0 Show data context 275 Show data context 0 Show data context 279 Show data context 0 Show data context 2,557 Show data context 933 Show data context 728 Show data context 2,138 Show data context
1971 1,988 Show data context 173 Show data context 14,600 Show data context 357 Show data context 54 Show data context 2,509 Show data context 3,088 Show data context 1,161 Show data context 589 Show data context 340 Show data context 282 Show data context 69 Show data context 544 Show data context 99 Show data context 2,310 Show data context 1,348 Show data context 633 Show data context 888 Show data context
2011 768 Show data context 137 Show data context 7,227 Show data context 880 Show data context 594 Show data context 4,903 Show data context 8,076 Show data context 1,793 Show data context 2,597 Show data context 2,304 Show data context 1,884 Show data context 727 Show data context 4,290 Show data context 2,397 Show data context 2,930 Show data context 6,111 Show data context 7,046 Show data context 2,678 Show data context
2021 879 Show data context 174 Show data context 5,709 Show data context 886 Show data context 530 Show data context 5,664 Show data context 8,205 Show data context 1,737 Show data context 2,482 Show data context 2,863 Show data context 1,823 Show data context 755 Show data context 4,405 Show data context 3,129 Show data context 3,391 Show data context 6,003 Show data context 8,235 Show data context 3,021 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 system of four "Levels" appears in the census Small Area Statistics for 2001, 2011 and 2021/2, and the full definitions of the levels include a wide range of broadly equivalent qualifications.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10032570/cube/INDUSTRY_GEN_2021

Date accessed: 06th June 2026