Pendle 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 1,566 Show data context 513 Show data context 4,968 Show data context 2 Show data context 6 Show data context 448 Show data context 223 Show data context 177 Show data context 90 Show data context 0 Show data context 2 Show data context 6 Show data context 18 Show data context 118 Show data context 47 Show data context 53 Show data context 23 Show data context 1,092 Show data context
1861 1,708 Show data context 887 Show data context 8,888 Show data context 13 Show data context 21 Show data context 809 Show data context 600 Show data context 219 Show data context 229 Show data context 6 Show data context 9 Show data context 81 Show data context 37 Show data context 64 Show data context 59 Show data context 75 Show data context 29 Show data context 821 Show data context
1881 1,081 Show data context 302 Show data context 14,614 Show data context 29 Show data context 13 Show data context 1,013 Show data context 696 Show data context 461 Show data context 145 Show data context 16 Show data context 34 Show data context 14 Show data context 37 Show data context 133 Show data context 58 Show data context 160 Show data context 55 Show data context 1,912 Show data context
1911 1,938 Show data context 5,428 Show data context 28,855 Show data context 208 Show data context 127 Show data context 2,236 Show data context 3,269 Show data context 2,882 Show data context 856 Show data context 141 Show data context 415 Show data context 0 Show data context 175 Show data context 1,317 Show data context 614 Show data context 741 Show data context 399 Show data context 3,987 Show data context
1931 1,159 Show data context 269 Show data context 35,296 Show data context 502 Show data context 220 Show data context 1,016 Show data context 4,466 Show data context 1,341 Show data context 580 Show data context 11 Show data context 327 Show data context 50 Show data context 221 Show data context 1 Show data context 1,551 Show data context 589 Show data context 466 Show data context 1,992 Show data context
1951 966 Show data context 322 Show data context 33,323 Show data context 468 Show data context 61 Show data context 1,918 Show data context 4,698 Show data context 1,018 Show data context 1,174 Show data context 0 Show data context 362 Show data context 0 Show data context 223 Show data context 0 Show data context 1,193 Show data context 660 Show data context 481 Show data context 1,436 Show data context
1971 707 Show data context 1,181 Show data context 11,639 Show data context 265 Show data context 37 Show data context 1,978 Show data context 3,051 Show data context 1,066 Show data context 597 Show data context 233 Show data context 367 Show data context 36 Show data context 232 Show data context 69 Show data context 1,365 Show data context 1,241 Show data context 846 Show data context 729 Show data context
2011 260 Show data context 18 Show data context 8,277 Show data context 56 Show data context 214 Show data context 2,842 Show data context 6,885 Show data context 1,684 Show data context 1,879 Show data context 763 Show data context 990 Show data context 500 Show data context 1,490 Show data context 1,732 Show data context 1,749 Show data context 3,599 Show data context 4,902 Show data context 1,484 Show data context
2021 356 Show data context 20 Show data context 6,537 Show data context 86 Show data context 186 Show data context 3,157 Show data context 7,526 Show data context 1,979 Show data context 1,769 Show data context 1,015 Show data context 846 Show data context 424 Show data context 1,572 Show data context 1,979 Show data context 1,591 Show data context 3,512 Show data context 5,638 Show data context 1,443 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, Pendle District through time | Historical Statistics on Industry | Standard Industrial Classification (2007), A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10033019/cube/INDUSTRY_GEN_2021

Date accessed: 03rd June 2026