High Peak 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 3,994 Show data context 1,308 Show data context 7,195 Show data context 1 Show data context 10 Show data context 810 Show data context 551 Show data context 265 Show data context 202 Show data context 1 Show data context 5 Show data context 11 Show data context 38 Show data context 243 Show data context 61 Show data context 142 Show data context 50 Show data context 3,118 Show data context
1861 4,110 Show data context 1,615 Show data context 21,065 Show data context 38 Show data context 29 Show data context 2,441 Show data context 1,493 Show data context 836 Show data context 800 Show data context 12 Show data context 38 Show data context 213 Show data context 71 Show data context 134 Show data context 107 Show data context 192 Show data context 90 Show data context 2,425 Show data context
1881 1,868 Show data context 1,207 Show data context 13,057 Show data context 38 Show data context 20 Show data context 1,358 Show data context 948 Show data context 798 Show data context 404 Show data context 29 Show data context 45 Show data context 19 Show data context 79 Show data context 276 Show data context 149 Show data context 257 Show data context 106 Show data context 3,257 Show data context
1911 2,342 Show data context 7,290 Show data context 10,914 Show data context 115 Show data context 34 Show data context 1,552 Show data context 2,121 Show data context 2,031 Show data context 596 Show data context 76 Show data context 235 Show data context 0 Show data context 112 Show data context 517 Show data context 339 Show data context 544 Show data context 257 Show data context 3,490 Show data context
1931 1,689 Show data context 1,628 Show data context 14,528 Show data context 322 Show data context 165 Show data context 1,335 Show data context 3,466 Show data context 2,298 Show data context 821 Show data context 4 Show data context 412 Show data context 84 Show data context 283 Show data context 4 Show data context 971 Show data context 804 Show data context 422 Show data context 3,546 Show data context
1951 1,386 Show data context 2,713 Show data context 15,785 Show data context 531 Show data context 234 Show data context 1,689 Show data context 3,291 Show data context 2,153 Show data context 1,610 Show data context 0 Show data context 326 Show data context 0 Show data context 148 Show data context 0 Show data context 1,692 Show data context 732 Show data context 704 Show data context 1,491 Show data context
1971 1,038 Show data context 2,620 Show data context 9,709 Show data context 460 Show data context 60 Show data context 1,992 Show data context 2,668 Show data context 1,330 Show data context 568 Show data context 155 Show data context 203 Show data context 50 Show data context 224 Show data context 45 Show data context 976 Show data context 1,176 Show data context 514 Show data context 669 Show data context
2011 436 Show data context 466 Show data context 6,084 Show data context 198 Show data context 261 Show data context 3,478 Show data context 6,558 Show data context 2,148 Show data context 2,423 Show data context 1,241 Show data context 1,342 Show data context 595 Show data context 2,961 Show data context 1,784 Show data context 2,195 Show data context 5,273 Show data context 6,027 Show data context 2,148 Show data context
2021 496 Show data context 466 Show data context 4,842 Show data context 200 Show data context 258 Show data context 3,968 Show data context 6,241 Show data context 1,865 Show data context 2,095 Show data context 1,650 Show data context 1,144 Show data context 548 Show data context 3,075 Show data context 2,011 Show data context 2,362 Show data context 4,837 Show data context 6,551 Show data context 2,072 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, High Peak District through time | Historical Statistics on Industry | Standard Industrial Classification (2007), A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10168612/cube/INDUSTRY_GEN_2021

Date accessed: 30th May 2026