Waltham Forest 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 496 Show data context 1 Show data context 931 Show data context 1 Show data context 2 Show data context 158 Show data context 193 Show data context 181 Show data context 34 Show data context 0 Show data context 4 Show data context 3 Show data context 13 Show data context 100 Show data context 48 Show data context 30 Show data context 26 Show data context 487 Show data context
1861 851 Show data context 7 Show data context 1,930 Show data context 12 Show data context 12 Show data context 804 Show data context 492 Show data context 1,010 Show data context 206 Show data context 16 Show data context 33 Show data context 109 Show data context 88 Show data context 181 Show data context 119 Show data context 136 Show data context 59 Show data context 1,516 Show data context
1881 766 Show data context 7 Show data context 3,371 Show data context 14 Show data context 16 Show data context 1,925 Show data context 1,232 Show data context 1,009 Show data context 300 Show data context 68 Show data context 185 Show data context 39 Show data context 281 Show data context 1,221 Show data context 298 Show data context 381 Show data context 184 Show data context 3,154 Show data context
1911 774 Show data context 170 Show data context 35,827 Show data context 629 Show data context 138 Show data context 8,851 Show data context 11,927 Show data context 11,514 Show data context 2,413 Show data context 847 Show data context 1,700 Show data context 0 Show data context 962 Show data context 10,038 Show data context 3,896 Show data context 2,020 Show data context 1,003 Show data context 10,398 Show data context
1931 466 Show data context 36 Show data context 47,289 Show data context 1,718 Show data context 413 Show data context 8,142 Show data context 23,454 Show data context 13,912 Show data context 3,047 Show data context 805 Show data context 4,242 Show data context 626 Show data context 2,074 Show data context 14 Show data context 4,907 Show data context 2,281 Show data context 1,904 Show data context 9,302 Show data context
1951 116 Show data context 3 Show data context 40,487 Show data context 1,466 Show data context 268 Show data context 6,197 Show data context 11,400 Show data context 4,934 Show data context 2,774 Show data context 0 Show data context 985 Show data context 0 Show data context 463 Show data context 0 Show data context 3,250 Show data context 2,215 Show data context 3,084 Show data context 5,716 Show data context
1971 40 Show data context 0 Show data context 28,400 Show data context 800 Show data context 270 Show data context 5,690 Show data context 13,300 Show data context 5,550 Show data context 1,010 Show data context 1,180 Show data context 1,250 Show data context 260 Show data context 1,030 Show data context 470 Show data context 4,350 Show data context 3,990 Show data context 3,960 Show data context 4,050 Show data context
2011 70 Show data context 51 Show data context 4,216 Show data context 244 Show data context 622 Show data context 11,547 Show data context 16,551 Show data context 6,647 Show data context 9,290 Show data context 5,861 Show data context 5,728 Show data context 2,290 Show data context 8,280 Show data context 8,185 Show data context 6,632 Show data context 13,508 Show data context 13,666 Show data context 7,633 Show data context
2021 73 Show data context 47 Show data context 4,097 Show data context 373 Show data context 491 Show data context 14,855 Show data context 17,352 Show data context 6,591 Show data context 8,284 Show data context 9,514 Show data context 5,394 Show data context 2,559 Show data context 12,710 Show data context 9,485 Show data context 7,292 Show data context 15,069 Show data context 17,468 Show data context 8,716 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 early censuses 1801-31 used this very simple classification of occupations. The cemsuses of Great Britain from 1811 onwards applied it to families rather than persons, and all families were included under one of these headings.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10056720/cube/INDUSTRY_GEN_2021

Date accessed: 06th June 2026