Charnwood 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 2,410 Show data context 114 Show data context 4,536 Show data context 2 Show data context 2 Show data context 415 Show data context 481 Show data context 242 Show data context 155 Show data context 0 Show data context 5 Show data context 9 Show data context 26 Show data context 188 Show data context 86 Show data context 92 Show data context 53 Show data context 1,970 Show data context
1861 3,280 Show data context 317 Show data context 5,360 Show data context 7 Show data context 6 Show data context 402 Show data context 541 Show data context 185 Show data context 211 Show data context 3 Show data context 2 Show data context 125 Show data context 29 Show data context 33 Show data context 45 Show data context 130 Show data context 57 Show data context 972 Show data context
1881 2,105 Show data context 646 Show data context 7,930 Show data context 19 Show data context 7 Show data context 1,043 Show data context 674 Show data context 343 Show data context 201 Show data context 14 Show data context 33 Show data context 19 Show data context 63 Show data context 125 Show data context 131 Show data context 275 Show data context 69 Show data context 2,191 Show data context
1911 2,778 Show data context 2,778 Show data context 11,620 Show data context 78 Show data context 19 Show data context 1,274 Show data context 1,652 Show data context 1,511 Show data context 435 Show data context 53 Show data context 147 Show data context 0 Show data context 83 Show data context 417 Show data context 360 Show data context 433 Show data context 188 Show data context 3,116 Show data context
1931 1,868 Show data context 755 Show data context 17,821 Show data context 333 Show data context 95 Show data context 1,755 Show data context 2,943 Show data context 1,176 Show data context 381 Show data context 9 Show data context 258 Show data context 60 Show data context 218 Show data context 1 Show data context 743 Show data context 677 Show data context 435 Show data context 2,632 Show data context
1951 1,874 Show data context 267 Show data context 22,307 Show data context 350 Show data context 55 Show data context 2,573 Show data context 3,577 Show data context 1,083 Show data context 1,175 Show data context 0 Show data context 298 Show data context 0 Show data context 207 Show data context 0 Show data context 2,245 Show data context 1,098 Show data context 517 Show data context 1,630 Show data context
1971 1,579 Show data context 2,407 Show data context 19,172 Show data context 448 Show data context 71 Show data context 3,036 Show data context 4,737 Show data context 1,690 Show data context 871 Show data context 525 Show data context 450 Show data context 45 Show data context 703 Show data context 99 Show data context 1,840 Show data context 2,295 Show data context 631 Show data context 1,094 Show data context
2011 445 Show data context 255 Show data context 10,657 Show data context 672 Show data context 567 Show data context 6,152 Show data context 13,694 Show data context 3,287 Show data context 4,041 Show data context 2,003 Show data context 1,935 Show data context 862 Show data context 4,706 Show data context 3,129 Show data context 3,899 Show data context 10,943 Show data context 8,444 Show data context 3,881 Show data context
2021 467 Show data context 216 Show data context 8,600 Show data context 731 Show data context 470 Show data context 7,606 Show data context 14,247 Show data context 4,023 Show data context 3,630 Show data context 2,697 Show data context 2,085 Show data context 951 Show data context 4,669 Show data context 3,831 Show data context 4,360 Show data context 11,835 Show data context 10,750 Show data context 3,721 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


The 1939 National Registration tabulated age and gender structure using a greatly simplified nine-way classification of ages. The introduction to the report states that this was to aid the enumerators who were doing much of the analysis before sending the completed forms to the Registrar General. Again to simplify the forms, people were asked to state their year of birth rather than their age. The fractions in the age bands occurred because "In consequence of these procedure restrictions, the number of groups ident...


ified ... is limited to nine in respect of each sex and being calendar year of birth groups, they do not correspond with integral years of age owing to the fact that the enumeration took place at the end of the third quarter of 1939."

The data are for the civilian population only. At this date, the armed services were almost all male, and under 45. An estimated 1,010,000 were in the services in Great Britain, of whom 900,000 were in England and Wales.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10091743/cube/INDUSTRY_GEN_2021

Date accessed: 07th June 2026