Harrow 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 694 Show data context 2 Show data context 464 Show data context 1 Show data context 1 Show data context 156 Show data context 144 Show data context 84 Show data context 46 Show data context 1 Show data context 3 Show data context 7 Show data context 19 Show data context 127 Show data context 56 Show data context 45 Show data context 30 Show data context 793 Show data context
1861 673 Show data context 3 Show data context 346 Show data context 2 Show data context 0 Show data context 210 Show data context 144 Show data context 117 Show data context 92 Show data context 2 Show data context 4 Show data context 37 Show data context 36 Show data context 28 Show data context 52 Show data context 57 Show data context 29 Show data context 731 Show data context
1881 508 Show data context 2 Show data context 418 Show data context 9 Show data context 1 Show data context 350 Show data context 214 Show data context 207 Show data context 75 Show data context 9 Show data context 24 Show data context 6 Show data context 64 Show data context 76 Show data context 101 Show data context 132 Show data context 54 Show data context 1,125 Show data context
1911 1,357 Show data context 24 Show data context 3,109 Show data context 126 Show data context 34 Show data context 1,334 Show data context 1,835 Show data context 1,512 Show data context 392 Show data context 113 Show data context 332 Show data context 0 Show data context 335 Show data context 1,101 Show data context 774 Show data context 445 Show data context 394 Show data context 4,523 Show data context
1931 484 Show data context 29 Show data context 10,890 Show data context 685 Show data context 62 Show data context 4,368 Show data context 7,280 Show data context 3,708 Show data context 1,191 Show data context 207 Show data context 2,279 Show data context 317 Show data context 1,148 Show data context 15 Show data context 2,380 Show data context 1,038 Show data context 1,057 Show data context 5,918 Show data context
1951 317 Show data context 7 Show data context 15,226 Show data context 1,001 Show data context 27 Show data context 4,228 Show data context 8,515 Show data context 3,178 Show data context 1,936 Show data context 0 Show data context 997 Show data context 0 Show data context 682 Show data context 0 Show data context 7,623 Show data context 2,128 Show data context 1,706 Show data context 4,646 Show data context
1971 230 Show data context 470 Show data context 13,710 Show data context 1,000 Show data context 10 Show data context 5,010 Show data context 10,890 Show data context 4,190 Show data context 1,160 Show data context 2,190 Show data context 2,150 Show data context 400 Show data context 2,140 Show data context 720 Show data context 5,990 Show data context 4,100 Show data context 2,130 Show data context 3,070 Show data context
2011 35 Show data context 123 Show data context 4,923 Show data context 307 Show data context 395 Show data context 9,356 Show data context 19,927 Show data context 6,279 Show data context 4,967 Show data context 7,212 Show data context 7,137 Show data context 2,033 Show data context 11,262 Show data context 5,807 Show data context 5,322 Show data context 10,882 Show data context 12,431 Show data context 5,502 Show data context
2021 61 Show data context 153 Show data context 4,526 Show data context 407 Show data context 321 Show data context 15,630 Show data context 18,360 Show data context 6,696 Show data context 5,133 Show data context 8,679 Show data context 7,185 Show data context 2,431 Show data context 11,161 Show data context 7,036 Show data context 5,137 Show data context 11,046 Show data context 16,465 Show data context 4,663 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


The full National Statistics Socio-cconomic Classification includes classes for persons of working age who were outside the workforce, i.e. those who have never worked, the long-term unemployed and full-time students, who are included here as a separate sub-total and should be excluded in the calculation of rates.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10142787/cube/INDUSTRY_GEN_2021

Date accessed: 05th June 2026