Havering 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 1,412 Show data context 1 Show data context 465 Show data context 0 Show data context 0 Show data context 149 Show data context 116 Show data context 85 Show data context 31 Show data context 0 Show data context 2 Show data context 2 Show data context 11 Show data context 71 Show data context 32 Show data context 32 Show data context 18 Show data context 574 Show data context
1861 1,948 Show data context 1 Show data context 937 Show data context 4 Show data context 6 Show data context 250 Show data context 260 Show data context 228 Show data context 166 Show data context 2 Show data context 9 Show data context 53 Show data context 30 Show data context 50 Show data context 74 Show data context 76 Show data context 40 Show data context 677 Show data context
1881 1,411 Show data context 0 Show data context 962 Show data context 10 Show data context 2 Show data context 378 Show data context 305 Show data context 274 Show data context 110 Show data context 3 Show data context 31 Show data context 10 Show data context 52 Show data context 154 Show data context 87 Show data context 99 Show data context 32 Show data context 998 Show data context
1911 2,620 Show data context 29 Show data context 2,582 Show data context 106 Show data context 20 Show data context 892 Show data context 1,074 Show data context 1,302 Show data context 327 Show data context 46 Show data context 140 Show data context 0 Show data context 87 Show data context 439 Show data context 847 Show data context 266 Show data context 184 Show data context 2,373 Show data context
1931 1,354 Show data context 134 Show data context 7,422 Show data context 637 Show data context 204 Show data context 3,558 Show data context 5,523 Show data context 4,333 Show data context 562 Show data context 83 Show data context 1,489 Show data context 225 Show data context 461 Show data context 4 Show data context 1,861 Show data context 851 Show data context 728 Show data context 3,182 Show data context
1951 963 Show data context 54 Show data context 13,410 Show data context 1,092 Show data context 326 Show data context 6,126 Show data context 8,008 Show data context 3,216 Show data context 1,756 Show data context 0 Show data context 641 Show data context 0 Show data context 460 Show data context 0 Show data context 3,016 Show data context 1,430 Show data context 2,329 Show data context 3,013 Show data context
1971 270 Show data context 160 Show data context 21,190 Show data context 1,350 Show data context 360 Show data context 6,320 Show data context 14,470 Show data context 4,920 Show data context 1,000 Show data context 750 Show data context 2,200 Show data context 340 Show data context 1,260 Show data context 580 Show data context 4,760 Show data context 5,170 Show data context 3,750 Show data context 2,680 Show data context
2011 97 Show data context 63 Show data context 6,095 Show data context 437 Show data context 842 Show data context 12,972 Show data context 16,473 Show data context 7,536 Show data context 3,777 Show data context 3,924 Show data context 11,209 Show data context 1,686 Show data context 7,428 Show data context 5,326 Show data context 7,086 Show data context 10,462 Show data context 12,080 Show data context 5,353 Show data context
2021 125 Show data context 70 Show data context 4,685 Show data context 487 Show data context 807 Show data context 16,726 Show data context 15,371 Show data context 7,545 Show data context 4,495 Show data context 5,268 Show data context 10,139 Show data context 2,132 Show data context 8,679 Show data context 6,811 Show data context 7,414 Show data context 12,217 Show data context 16,697 Show data context 5,180 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 2011 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. Here we break the numbers in each industry down by gender, but this is not possible with the 2011 dat...


a, only with the re-districted and re-classified historical statisics.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10213332/cube/INDUSTRY_GEN_2021

Date accessed: 05th June 2026