Liverpool 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 2,587 Show data context 416 Show data context 35,773 Show data context 10 Show data context 19 Show data context 9,069 Show data context 7,313 Show data context 9,815 Show data context 1,982 Show data context 19 Show data context 226 Show data context 101 Show data context 495 Show data context 5,785 Show data context 2,088 Show data context 968 Show data context 684 Show data context 21,792 Show data context
1861 3,357 Show data context 518 Show data context 42,954 Show data context 218 Show data context 178 Show data context 9,190 Show data context 12,092 Show data context 30,741 Show data context 5,208 Show data context 358 Show data context 820 Show data context 1,051 Show data context 949 Show data context 4,257 Show data context 2,090 Show data context 1,207 Show data context 791 Show data context 20,932 Show data context
1881 3,658 Show data context 590 Show data context 68,000 Show data context 397 Show data context 213 Show data context 18,826 Show data context 20,289 Show data context 43,931 Show data context 6,819 Show data context 581 Show data context 1,937 Show data context 312 Show data context 1,868 Show data context 12,271 Show data context 4,198 Show data context 3,459 Show data context 2,156 Show data context 42,946 Show data context
1911 2,112 Show data context 674 Show data context 90,506 Show data context 1,258 Show data context 815 Show data context 18,888 Show data context 34,445 Show data context 77,521 Show data context 10,457 Show data context 1,652 Show data context 4,483 Show data context 0 Show data context 1,627 Show data context 19,672 Show data context 8,123 Show data context 5,199 Show data context 3,986 Show data context 41,607 Show data context
1931 1,549 Show data context 401 Show data context 90,852 Show data context 3,160 Show data context 626 Show data context 13,459 Show data context 63,748 Show data context 54,456 Show data context 11,898 Show data context 646 Show data context 6,228 Show data context 1,368 Show data context 3,050 Show data context 52 Show data context 15,444 Show data context 6,836 Show data context 6,751 Show data context 28,616 Show data context
1951 826 Show data context 212 Show data context 128,134 Show data context 4,787 Show data context 457 Show data context 20,403 Show data context 60,794 Show data context 70,933 Show data context 14,631 Show data context 0 Show data context 10,967 Show data context 0 Show data context 5,779 Show data context 0 Show data context 19,602 Show data context 8,586 Show data context 12,360 Show data context 22,866 Show data context
1971 171 Show data context 137 Show data context 93,467 Show data context 3,102 Show data context 471 Show data context 17,380 Show data context 51,953 Show data context 44,534 Show data context 8,094 Show data context 3,611 Show data context 11,636 Show data context 977 Show data context 6,492 Show data context 1,615 Show data context 20,364 Show data context 18,682 Show data context 17,429 Show data context 12,399 Show data context
2011 159 Show data context 120 Show data context 12,330 Show data context 581 Show data context 1,171 Show data context 12,708 Show data context 30,032 Show data context 10,918 Show data context 14,598 Show data context 5,447 Show data context 7,178 Show data context 3,219 Show data context 9,635 Show data context 10,013 Show data context 13,872 Show data context 21,362 Show data context 32,804 Show data context 10,483 Show data context
2021 225 Show data context 220 Show data context 11,375 Show data context 681 Show data context 1,120 Show data context 13,349 Show data context 30,801 Show data context 11,921 Show data context 14,066 Show data context 6,292 Show data context 6,503 Show data context 3,445 Show data context 10,727 Show data context 9,999 Show data context 14,972 Show data context 22,203 Show data context 38,385 Show data context 9,506 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 in single years under age 5, as published in official reports.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10105821/cube/INDUSTRY_GEN_2021

Date accessed: 02nd June 2026