Birmingham 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 3,504 Show data context 249 Show data context 40,836 Show data context 22 Show data context 48 Show data context 4,144 Show data context 4,209 Show data context 2,499 Show data context 862 Show data context 5 Show data context 117 Show data context 65 Show data context 332 Show data context 2,470 Show data context 826 Show data context 622 Show data context 446 Show data context 11,156 Show data context
1861 4,833 Show data context 1,571 Show data context 70,704 Show data context 210 Show data context 129 Show data context 8,022 Show data context 8,249 Show data context 6,336 Show data context 2,779 Show data context 273 Show data context 337 Show data context 996 Show data context 748 Show data context 2,004 Show data context 1,009 Show data context 1,258 Show data context 764 Show data context 12,942 Show data context
1881 4,446 Show data context 287 Show data context 113,918 Show data context 465 Show data context 152 Show data context 13,036 Show data context 12,454 Show data context 11,022 Show data context 3,742 Show data context 397 Show data context 1,040 Show data context 240 Show data context 1,386 Show data context 7,321 Show data context 1,769 Show data context 3,010 Show data context 1,240 Show data context 27,647 Show data context
1911 8,563 Show data context 2,648 Show data context 211,241 Show data context 2,230 Show data context 476 Show data context 19,770 Show data context 31,806 Show data context 28,291 Show data context 9,520 Show data context 1,648 Show data context 3,385 Show data context 0 Show data context 1,760 Show data context 20,324 Show data context 6,541 Show data context 5,182 Show data context 3,726 Show data context 39,428 Show data context
1931 2,045 Show data context 370 Show data context 249,476 Show data context 5,106 Show data context 983 Show data context 21,804 Show data context 61,151 Show data context 28,829 Show data context 11,574 Show data context 464 Show data context 6,959 Show data context 1,222 Show data context 4,165 Show data context 44 Show data context 14,412 Show data context 8,047 Show data context 7,615 Show data context 32,716 Show data context
1951 1,248 Show data context 357 Show data context 363,997 Show data context 7,185 Show data context 775 Show data context 30,386 Show data context 76,410 Show data context 34,394 Show data context 22,090 Show data context 0 Show data context 11,221 Show data context 0 Show data context 8,139 Show data context 0 Show data context 21,155 Show data context 11,984 Show data context 15,267 Show data context 23,056 Show data context
1971 582 Show data context 194 Show data context 293,697 Show data context 5,447 Show data context 1,026 Show data context 34,622 Show data context 77,636 Show data context 32,688 Show data context 12,618 Show data context 8,888 Show data context 15,778 Show data context 1,981 Show data context 12,465 Show data context 4,809 Show data context 26,679 Show data context 33,467 Show data context 23,362 Show data context 15,819 Show data context
2011 419 Show data context 81 Show data context 39,056 Show data context 1,962 Show data context 2,709 Show data context 25,686 Show data context 66,500 Show data context 23,981 Show data context 26,715 Show data context 12,873 Show data context 16,916 Show data context 6,275 Show data context 23,868 Show data context 22,365 Show data context 20,528 Show data context 51,328 Show data context 62,912 Show data context 19,517 Show data context
2021 395 Show data context 77 Show data context 34,865 Show data context 2,162 Show data context 2,531 Show data context 28,936 Show data context 67,434 Show data context 30,271 Show data context 24,935 Show data context 14,583 Show data context 14,239 Show data context 6,605 Show data context 24,260 Show data context 23,681 Show data context 21,160 Show data context 51,821 Show data context 77,955 Show data context 16,474 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


In 1960, the Agricultural Census divided fowls (chickens) into birds aged over and under six months, and then further divided birds under six months by use.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10104180/cube/INDUSTRY_GEN_2021

Date accessed: 07th June 2026