Bedford Unitary Authority (UA) : 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 5,619 Show data context 5 Show data context 4,689 Show data context 3 Show data context 4 Show data context 819 Show data context 763 Show data context 167 Show data context 242 Show data context 2 Show data context 6 Show data context 9 Show data context 53 Show data context 360 Show data context 77 Show data context 134 Show data context 135 Show data context 2,413 Show data context
1861 6,102 Show data context 18 Show data context 7,053 Show data context 12 Show data context 8 Show data context 852 Show data context 761 Show data context 216 Show data context 363 Show data context 11 Show data context 6 Show data context 157 Show data context 66 Show data context 67 Show data context 145 Show data context 233 Show data context 98 Show data context 1,962 Show data context
1881 4,398 Show data context 22 Show data context 6,397 Show data context 19 Show data context 5 Show data context 1,189 Show data context 835 Show data context 492 Show data context 235 Show data context 39 Show data context 37 Show data context 21 Show data context 97 Show data context 184 Show data context 633 Show data context 411 Show data context 154 Show data context 3,477 Show data context
1911 4,501 Show data context 140 Show data context 13,104 Show data context 135 Show data context 29 Show data context 1,948 Show data context 2,781 Show data context 1,798 Show data context 695 Show data context 101 Show data context 169 Show data context 0 Show data context 149 Show data context 581 Show data context 561 Show data context 596 Show data context 352 Show data context 5,123 Show data context
1931 3,255 Show data context 82 Show data context 9,038 Show data context 385 Show data context 50 Show data context 1,583 Show data context 4,251 Show data context 1,752 Show data context 679 Show data context 16 Show data context 397 Show data context 108 Show data context 290 Show data context 8 Show data context 1,425 Show data context 731 Show data context 660 Show data context 4,579 Show data context
1951 3,355 Show data context 46 Show data context 14,994 Show data context 1,055 Show data context 44 Show data context 3,071 Show data context 5,430 Show data context 2,439 Show data context 1,582 Show data context 0 Show data context 623 Show data context 0 Show data context 411 Show data context 0 Show data context 5,898 Show data context 1,138 Show data context 1,156 Show data context 2,195 Show data context
1971 1,357 Show data context 39 Show data context 19,702 Show data context 1,008 Show data context 126 Show data context 3,501 Show data context 8,668 Show data context 3,476 Show data context 1,336 Show data context 1,358 Show data context 1,372 Show data context 163 Show data context 1,904 Show data context 384 Show data context 4,889 Show data context 3,780 Show data context 2,157 Show data context 2,046 Show data context
2011 554 Show data context 38 Show data context 6,440 Show data context 516 Show data context 609 Show data context 5,721 Show data context 12,949 Show data context 4,293 Show data context 3,412 Show data context 2,951 Show data context 2,080 Show data context 997 Show data context 5,017 Show data context 3,729 Show data context 4,899 Show data context 8,827 Show data context 9,398 Show data context 3,380 Show data context
2021 544 Show data context 47 Show data context 6,418 Show data context 573 Show data context 521 Show data context 8,224 Show data context 15,340 Show data context 5,482 Show data context 3,940 Show data context 3,951 Show data context 2,549 Show data context 1,473 Show data context 5,677 Show data context 4,646 Show data context 5,325 Show data context 9,776 Show data context 12,859 Show data context 3,510 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 2021 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.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10197387/cube/INDUSTRY_GEN_2021

Date accessed: 04th June 2026