Erewash 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 768 Show data context 283 Show data context 2,150 Show data context 0 Show data context 3 Show data context 259 Show data context 193 Show data context 69 Show data context 59 Show data context 0 Show data context 3 Show data context 4 Show data context 17 Show data context 86 Show data context 20 Show data context 39 Show data context 18 Show data context 748 Show data context
1861 1,311 Show data context 292 Show data context 2,005 Show data context 3 Show data context 4 Show data context 258 Show data context 214 Show data context 149 Show data context 98 Show data context 1 Show data context 2 Show data context 51 Show data context 9 Show data context 15 Show data context 18 Show data context 63 Show data context 21 Show data context 477 Show data context
1881 823 Show data context 1,801 Show data context 4,389 Show data context 23 Show data context 10 Show data context 653 Show data context 422 Show data context 670 Show data context 109 Show data context 16 Show data context 18 Show data context 11 Show data context 22 Show data context 125 Show data context 55 Show data context 155 Show data context 39 Show data context 1,098 Show data context
1911 1,744 Show data context 7,158 Show data context 9,436 Show data context 107 Show data context 31 Show data context 1,385 Show data context 1,868 Show data context 1,821 Show data context 516 Show data context 65 Show data context 214 Show data context 0 Show data context 97 Show data context 431 Show data context 291 Show data context 449 Show data context 205 Show data context 2,690 Show data context
1931 1,110 Show data context 3,879 Show data context 16,376 Show data context 350 Show data context 33 Show data context 1,195 Show data context 2,992 Show data context 2,551 Show data context 412 Show data context 3 Show data context 297 Show data context 62 Show data context 132 Show data context 2 Show data context 759 Show data context 533 Show data context 222 Show data context 1,680 Show data context
1951 828 Show data context 523 Show data context 14,991 Show data context 728 Show data context 33 Show data context 1,814 Show data context 3,655 Show data context 1,569 Show data context 809 Show data context 0 Show data context 352 Show data context 0 Show data context 134 Show data context 0 Show data context 1,429 Show data context 767 Show data context 348 Show data context 1,090 Show data context
1971 1,142 Show data context 3,235 Show data context 11,191 Show data context 526 Show data context 71 Show data context 2,292 Show data context 3,053 Show data context 1,592 Show data context 608 Show data context 189 Show data context 225 Show data context 55 Show data context 219 Show data context 44 Show data context 1,129 Show data context 1,259 Show data context 552 Show data context 695 Show data context
2011 152 Show data context 63 Show data context 8,968 Show data context 526 Show data context 406 Show data context 4,761 Show data context 9,778 Show data context 3,331 Show data context 2,523 Show data context 1,481 Show data context 1,185 Show data context 654 Show data context 2,647 Show data context 2,233 Show data context 2,662 Show data context 5,237 Show data context 6,102 Show data context 2,142 Show data context
2021 167 Show data context 43 Show data context 6,863 Show data context 406 Show data context 478 Show data context 5,325 Show data context 9,805 Show data context 3,543 Show data context 2,237 Show data context 1,784 Show data context 978 Show data context 675 Show data context 2,552 Show data context 2,460 Show data context 2,862 Show data context 5,477 Show data context 7,174 Show data context 2,120 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, Erewash District through time | Historical Statistics on Industry | Standard Industrial Classification (2007), A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10142740/cube/INDUSTRY_GEN_2021

Date accessed: 06th June 2026