Calderdale 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 3,737 Show data context 3,409 Show data context 53,653 Show data context 12 Show data context 74 Show data context 3,276 Show data context 2,644 Show data context 1,847 Show data context 714 Show data context 0 Show data context 28 Show data context 36 Show data context 106 Show data context 734 Show data context 466 Show data context 363 Show data context 160 Show data context 5,108 Show data context
1861 5,454 Show data context 2,586 Show data context 35,710 Show data context 75 Show data context 91 Show data context 3,556 Show data context 2,773 Show data context 1,536 Show data context 833 Show data context 71 Show data context 57 Show data context 375 Show data context 173 Show data context 327 Show data context 207 Show data context 416 Show data context 159 Show data context 3,550 Show data context
1881 3,289 Show data context 2,883 Show data context 54,347 Show data context 173 Show data context 49 Show data context 4,701 Show data context 3,820 Show data context 2,694 Show data context 817 Show data context 99 Show data context 206 Show data context 47 Show data context 339 Show data context 1,099 Show data context 729 Show data context 905 Show data context 264 Show data context 7,624 Show data context
1911 3,207 Show data context 10,095 Show data context 60,795 Show data context 583 Show data context 454 Show data context 4,963 Show data context 7,939 Show data context 6,433 Show data context 1,877 Show data context 341 Show data context 768 Show data context 0 Show data context 398 Show data context 2,294 Show data context 1,335 Show data context 1,483 Show data context 823 Show data context 8,245 Show data context
1931 2,648 Show data context 1,236 Show data context 65,056 Show data context 893 Show data context 578 Show data context 3,468 Show data context 10,033 Show data context 4,647 Show data context 1,782 Show data context 32 Show data context 1,012 Show data context 132 Show data context 743 Show data context 3 Show data context 3,045 Show data context 1,384 Show data context 1,094 Show data context 5,682 Show data context
1951 2,154 Show data context 680 Show data context 64,902 Show data context 1,189 Show data context 214 Show data context 4,227 Show data context 11,443 Show data context 4,530 Show data context 3,412 Show data context 0 Show data context 1,153 Show data context 0 Show data context 776 Show data context 0 Show data context 2,950 Show data context 1,640 Show data context 1,974 Show data context 3,912 Show data context
1971 1,199 Show data context 5,210 Show data context 36,613 Show data context 886 Show data context 215 Show data context 4,468 Show data context 9,220 Show data context 3,073 Show data context 1,752 Show data context 672 Show data context 1,932 Show data context 51 Show data context 934 Show data context 165 Show data context 4,097 Show data context 3,670 Show data context 3,066 Show data context 2,125 Show data context
2011 335 Show data context 102 Show data context 12,897 Show data context 268 Show data context 849 Show data context 7,597 Show data context 14,100 Show data context 3,784 Show data context 4,263 Show data context 2,588 Show data context 7,678 Show data context 1,266 Show data context 4,766 Show data context 3,889 Show data context 5,137 Show data context 10,492 Show data context 12,615 Show data context 4,019 Show data context
2021 362 Show data context 143 Show data context 9,143 Show data context 341 Show data context 855 Show data context 8,340 Show data context 14,400 Show data context 3,679 Show data context 3,749 Show data context 3,012 Show data context 5,822 Show data context 1,376 Show data context 4,828 Show data context 3,987 Show data context 5,121 Show data context 10,233 Show data context 13,907 Show data context 4,073 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


Here we simplify the National Statistics Socio-economic Classfication into just four analytic categories, which we try to present over a very long period. Note that up to 1991 the census focused on levels of "skill", and on whether work was "manual", but since 2001 the focus has instead been on whether work was "routine", making comparisons difficult.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10099274/cube/INDUSTRY_GEN_2021

Date accessed: 04th June 2026