Gedling 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 1,079 Show data context 59 Show data context 1,337 Show data context 0 Show data context 1 Show data context 118 Show data context 111 Show data context 51 Show data context 38 Show data context 0 Show data context 1 Show data context 2 Show data context 8 Show data context 46 Show data context 15 Show data context 27 Show data context 15 Show data context 577 Show data context
1861 1,315 Show data context 1,100 Show data context 4,209 Show data context 6 Show data context 3 Show data context 264 Show data context 326 Show data context 100 Show data context 140 Show data context 1 Show data context 4 Show data context 47 Show data context 12 Show data context 25 Show data context 19 Show data context 67 Show data context 28 Show data context 580 Show data context
1881 934 Show data context 441 Show data context 3,594 Show data context 10 Show data context 4 Show data context 375 Show data context 211 Show data context 396 Show data context 51 Show data context 3 Show data context 5 Show data context 5 Show data context 15 Show data context 57 Show data context 36 Show data context 81 Show data context 19 Show data context 751 Show data context
1911 1,105 Show data context 3,468 Show data context 4,232 Show data context 46 Show data context 16 Show data context 719 Show data context 1,102 Show data context 1,078 Show data context 235 Show data context 44 Show data context 117 Show data context 0 Show data context 52 Show data context 291 Show data context 161 Show data context 237 Show data context 93 Show data context 1,582 Show data context
1931 674 Show data context 3,428 Show data context 8,484 Show data context 112 Show data context 41 Show data context 992 Show data context 2,870 Show data context 2,234 Show data context 291 Show data context 7 Show data context 263 Show data context 56 Show data context 154 Show data context 0 Show data context 708 Show data context 364 Show data context 174 Show data context 1,772 Show data context
1951 842 Show data context 5,545 Show data context 7,326 Show data context 46 Show data context 20 Show data context 1,361 Show data context 2,190 Show data context 1,853 Show data context 518 Show data context 0 Show data context 107 Show data context 0 Show data context 57 Show data context 0 Show data context 1,043 Show data context 458 Show data context 240 Show data context 1,098 Show data context
1971 1,167 Show data context 7,687 Show data context 8,571 Show data context 649 Show data context 29 Show data context 2,026 Show data context 3,286 Show data context 1,012 Show data context 527 Show data context 167 Show data context 288 Show data context 46 Show data context 214 Show data context 86 Show data context 1,687 Show data context 1,278 Show data context 665 Show data context 719 Show data context
2011 209 Show data context 75 Show data context 5,059 Show data context 699 Show data context 360 Show data context 5,109 Show data context 9,765 Show data context 2,419 Show data context 2,387 Show data context 1,653 Show data context 1,430 Show data context 919 Show data context 2,988 Show data context 2,206 Show data context 4,030 Show data context 6,000 Show data context 7,726 Show data context 2,564 Show data context
2021 201 Show data context 39 Show data context 3,943 Show data context 612 Show data context 370 Show data context 5,736 Show data context 8,927 Show data context 2,525 Show data context 2,172 Show data context 1,977 Show data context 1,277 Show data context 960 Show data context 2,937 Show data context 2,431 Show data context 4,053 Show data context 6,506 Show data context 9,169 Show data context 2,400 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, Gedling through time | Industry Statistics | Standard Industrial Classification (2007), A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10197363/cube/INDUSTRY_GEN_2021

Date accessed: 12th December 2025