Hackney 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 620 Show data context 6 Show data context 33,368 Show data context 55 Show data context 87 Show data context 4,757 Show data context 6,715 Show data context 6,468 Show data context 971 Show data context 18 Show data context 161 Show data context 77 Show data context 468 Show data context 3,515 Show data context 1,565 Show data context 867 Show data context 866 Show data context 13,411 Show data context
1861 1,263 Show data context 48 Show data context 32,323 Show data context 295 Show data context 134 Show data context 5,452 Show data context 6,338 Show data context 5,460 Show data context 1,818 Show data context 696 Show data context 432 Show data context 902 Show data context 1,170 Show data context 3,368 Show data context 1,003 Show data context 1,129 Show data context 886 Show data context 12,413 Show data context
1881 1,209 Show data context 109 Show data context 50,342 Show data context 295 Show data context 150 Show data context 8,969 Show data context 9,344 Show data context 8,817 Show data context 2,806 Show data context 649 Show data context 1,264 Show data context 234 Show data context 1,884 Show data context 8,410 Show data context 2,296 Show data context 2,089 Show data context 1,474 Show data context 20,778 Show data context
1911 380 Show data context 87 Show data context 76,711 Show data context 757 Show data context 363 Show data context 8,775 Show data context 18,312 Show data context 16,946 Show data context 5,127 Show data context 1,402 Show data context 2,359 Show data context 0 Show data context 1,328 Show data context 12,889 Show data context 5,054 Show data context 2,500 Show data context 2,044 Show data context 20,916 Show data context
1931 131 Show data context 49 Show data context 78,667 Show data context 1,504 Show data context 506 Show data context 6,490 Show data context 28,452 Show data context 12,898 Show data context 5,903 Show data context 804 Show data context 3,504 Show data context 1,206 Show data context 1,965 Show data context 33 Show data context 5,103 Show data context 2,056 Show data context 2,908 Show data context 14,160 Show data context
1951 26 Show data context 33 Show data context 70,728 Show data context 1,830 Show data context 423 Show data context 8,032 Show data context 20,904 Show data context 8,993 Show data context 4,193 Show data context 0 Show data context 1,520 Show data context 0 Show data context 959 Show data context 0 Show data context 4,835 Show data context 1,909 Show data context 3,602 Show data context 5,620 Show data context
1971 40 Show data context 10 Show data context 39,370 Show data context 1,310 Show data context 220 Show data context 6,230 Show data context 17,960 Show data context 9,360 Show data context 2,250 Show data context 6,110 Show data context 1,720 Show data context 340 Show data context 1,600 Show data context 2,060 Show data context 6,460 Show data context 4,480 Show data context 3,710 Show data context 2,940 Show data context
2011 53 Show data context 68 Show data context 3,014 Show data context 151 Show data context 288 Show data context 4,458 Show data context 13,654 Show data context 3,828 Show data context 7,983 Show data context 11,247 Show data context 5,790 Show data context 2,459 Show data context 17,752 Show data context 6,893 Show data context 4,768 Show data context 13,475 Show data context 12,444 Show data context 10,231 Show data context
2021 92 Show data context 62 Show data context 4,041 Show data context 375 Show data context 254 Show data context 5,264 Show data context 14,542 Show data context 3,871 Show data context 6,797 Show data context 13,451 Show data context 6,800 Show data context 2,898 Show data context 21,084 Show data context 7,193 Show data context 5,552 Show data context 15,043 Show data context 16,098 Show data context 10,923 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 1831 census provided information at parish-level on the number of males aged over 20 in each of nine occupational categories (plus numbers of male servants under 20, and female servants). These are the most detailed Census parish-level occupational data ever published. Information on the precise occupations of workers in retail trade and handicrafts was also published at county-level.


How to reference this page:

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

URL: https://www.visionofireland.org/unit/10056858/cube/INDUSTRY_GEN_2021

Date accessed: 08th June 2026