Chorley 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 1,958 Show data context 723 Show data context 11,511 Show data context 4 Show data context 19 Show data context 812 Show data context 562 Show data context 400 Show data context 184 Show data context 1 Show data context 9 Show data context 20 Show data context 44 Show data context 230 Show data context 129 Show data context 97 Show data context 52 Show data context 1,841 Show data context
1861 3,591 Show data context 810 Show data context 7,823 Show data context 9 Show data context 34 Show data context 586 Show data context 466 Show data context 278 Show data context 218 Show data context 2 Show data context 4 Show data context 94 Show data context 38 Show data context 45 Show data context 56 Show data context 87 Show data context 25 Show data context 1,009 Show data context
1881 1,885 Show data context 1,168 Show data context 10,253 Show data context 17 Show data context 16 Show data context 856 Show data context 618 Show data context 527 Show data context 184 Show data context 7 Show data context 42 Show data context 15 Show data context 55 Show data context 137 Show data context 78 Show data context 176 Show data context 30 Show data context 1,695 Show data context
1911 2,842 Show data context 2,537 Show data context 15,197 Show data context 103 Show data context 49 Show data context 1,244 Show data context 1,740 Show data context 1,537 Show data context 474 Show data context 70 Show data context 222 Show data context 0 Show data context 101 Show data context 685 Show data context 376 Show data context 435 Show data context 285 Show data context 2,618 Show data context
1931 1,926 Show data context 1,821 Show data context 16,640 Show data context 143 Show data context 71 Show data context 953 Show data context 2,458 Show data context 1,145 Show data context 479 Show data context 7 Show data context 213 Show data context 32 Show data context 140 Show data context 0 Show data context 695 Show data context 388 Show data context 295 Show data context 1,479 Show data context
1951 1,784 Show data context 2,189 Show data context 18,658 Show data context 329 Show data context 102 Show data context 1,571 Show data context 2,752 Show data context 1,080 Show data context 1,215 Show data context 0 Show data context 254 Show data context 0 Show data context 136 Show data context 0 Show data context 1,059 Show data context 564 Show data context 512 Show data context 1,265 Show data context
1971 637 Show data context 413 Show data context 11,324 Show data context 229 Show data context 34 Show data context 1,899 Show data context 2,904 Show data context 1,018 Show data context 537 Show data context 220 Show data context 369 Show data context 34 Show data context 227 Show data context 67 Show data context 1,302 Show data context 1,124 Show data context 827 Show data context 679 Show data context
2011 478 Show data context 44 Show data context 5,875 Show data context 232 Show data context 474 Show data context 4,488 Show data context 8,899 Show data context 2,126 Show data context 2,457 Show data context 1,515 Show data context 1,382 Show data context 765 Show data context 3,058 Show data context 2,458 Show data context 4,053 Show data context 5,482 Show data context 7,561 Show data context 2,355 Show data context
2021 471 Show data context 49 Show data context 4,949 Show data context 365 Show data context 475 Show data context 5,494 Show data context 8,982 Show data context 2,383 Show data context 2,131 Show data context 1,951 Show data context 1,377 Show data context 884 Show data context 3,420 Show data context 2,719 Show data context 4,338 Show data context 5,786 Show data context 9,040 Show data context 2,464 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


Age and sex structure data, using 5-year bands up to age 85 but with the under 1s separate from the 1 to 4s. This system was used by certain Scottish census reports.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10142726/cube/INDUSTRY_GEN_2021

Date accessed: 07th June 2026