Haringey 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 412 Show data context 1 Show data context 358 Show data context 1 Show data context 1 Show data context 109 Show data context 106 Show data context 64 Show data context 30 Show data context 1 Show data context 3 Show data context 5 Show data context 15 Show data context 92 Show data context 37 Show data context 30 Show data context 21 Show data context 535 Show data context
1861 574 Show data context 3 Show data context 921 Show data context 6 Show data context 6 Show data context 280 Show data context 276 Show data context 172 Show data context 109 Show data context 11 Show data context 22 Show data context 62 Show data context 63 Show data context 99 Show data context 89 Show data context 83 Show data context 42 Show data context 905 Show data context
1881 840 Show data context 34 Show data context 7,162 Show data context 52 Show data context 39 Show data context 3,809 Show data context 2,552 Show data context 1,876 Show data context 561 Show data context 212 Show data context 474 Show data context 94 Show data context 805 Show data context 2,394 Show data context 693 Show data context 809 Show data context 382 Show data context 7,125 Show data context
1911 1,489 Show data context 79 Show data context 29,634 Show data context 708 Show data context 235 Show data context 8,920 Show data context 13,697 Show data context 10,134 Show data context 2,479 Show data context 1,054 Show data context 3,047 Show data context 0 Show data context 2,085 Show data context 12,479 Show data context 4,778 Show data context 2,566 Show data context 1,956 Show data context 18,910 Show data context
1931 406 Show data context 50 Show data context 44,944 Show data context 1,867 Show data context 425 Show data context 8,926 Show data context 25,477 Show data context 15,262 Show data context 3,829 Show data context 979 Show data context 5,850 Show data context 801 Show data context 3,013 Show data context 26 Show data context 5,358 Show data context 3,142 Show data context 2,352 Show data context 13,781 Show data context
1951 108 Show data context 3 Show data context 35,840 Show data context 2,765 Show data context 237 Show data context 8,141 Show data context 12,749 Show data context 7,480 Show data context 3,346 Show data context 0 Show data context 1,293 Show data context 0 Show data context 797 Show data context 0 Show data context 3,999 Show data context 2,405 Show data context 2,448 Show data context 6,806 Show data context
1971 50 Show data context 0 Show data context 26,950 Show data context 1,860 Show data context 230 Show data context 7,670 Show data context 14,560 Show data context 7,050 Show data context 1,290 Show data context 1,360 Show data context 1,160 Show data context 380 Show data context 1,220 Show data context 700 Show data context 4,660 Show data context 5,280 Show data context 2,620 Show data context 3,170 Show data context
2011 53 Show data context 65 Show data context 3,084 Show data context 177 Show data context 327 Show data context 7,783 Show data context 14,608 Show data context 4,551 Show data context 10,585 Show data context 10,208 Show data context 5,185 Show data context 2,445 Show data context 14,132 Show data context 7,807 Show data context 5,273 Show data context 14,246 Show data context 13,600 Show data context 10,167 Show data context
2021 78 Show data context 74 Show data context 3,660 Show data context 314 Show data context 295 Show data context 10,279 Show data context 15,303 Show data context 4,765 Show data context 9,752 Show data context 10,593 Show data context 4,929 Show data context 2,459 Show data context 14,227 Show data context 9,964 Show data context 5,721 Show data context 14,619 Show data context 16,951 Show data context 10,414 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))

This website exists to help people doing personal research projects on particular areas within a locality. So long as you are using our data for only a small number of units, you are not making money out of what you are doing, and you are not systematically re-publishing our data, you do not need to request permission from us, but you do need to acknowledge us as your source with the wording:

"This work is based on data provided through www.VisionofBritain.org.uk and uses historical material which is copyright of the Great Britain Historical GIS Project and the University of Portsmouth".

Where the above statement is included in a web page or similar online resource, the reference to "www.VisionofBritain.org.uk" must be a working hyperlink.

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, Haringey District through time | Historical Statistics on Industry | Standard Industrial Classification (2007), A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10060280/cube/INDUSTRY_GEN_2021

Date accessed: 04th June 2026