North Kesteven 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 7,558 Show data context 5 Show data context 2,309 Show data context 1 Show data context 3 Show data context 710 Show data context 537 Show data context 230 Show data context 181 Show data context 0 Show data context 3 Show data context 11 Show data context 46 Show data context 201 Show data context 56 Show data context 146 Show data context 92 Show data context 3,336 Show data context
1861 8,655 Show data context 33 Show data context 3,503 Show data context 11 Show data context 7 Show data context 941 Show data context 924 Show data context 368 Show data context 422 Show data context 12 Show data context 9 Show data context 178 Show data context 91 Show data context 84 Show data context 122 Show data context 248 Show data context 206 Show data context 2,081 Show data context
1881 6,466 Show data context 34 Show data context 1,961 Show data context 17 Show data context 2 Show data context 1,328 Show data context 509 Show data context 291 Show data context 127 Show data context 6 Show data context 16 Show data context 12 Show data context 66 Show data context 76 Show data context 87 Show data context 271 Show data context 123 Show data context 2,990 Show data context
1911 7,187 Show data context 249 Show data context 3,034 Show data context 40 Show data context 10 Show data context 908 Show data context 1,038 Show data context 1,016 Show data context 288 Show data context 29 Show data context 68 Show data context 0 Show data context 46 Show data context 148 Show data context 221 Show data context 355 Show data context 217 Show data context 2,961 Show data context
1931 6,200 Show data context 37 Show data context 2,049 Show data context 52 Show data context 13 Show data context 618 Show data context 1,602 Show data context 840 Show data context 350 Show data context 1 Show data context 84 Show data context 26 Show data context 66 Show data context 1 Show data context 3,228 Show data context 389 Show data context 306 Show data context 2,239 Show data context
1951 6,573 Show data context 121 Show data context 2,666 Show data context 143 Show data context 14 Show data context 1,207 Show data context 1,947 Show data context 1,293 Show data context 647 Show data context 0 Show data context 106 Show data context 0 Show data context 83 Show data context 0 Show data context 8,778 Show data context 373 Show data context 745 Show data context 971 Show data context
1971 2,678 Show data context 239 Show data context 5,605 Show data context 275 Show data context 53 Show data context 1,960 Show data context 3,179 Show data context 1,030 Show data context 519 Show data context 167 Show data context 305 Show data context 85 Show data context 168 Show data context 58 Show data context 3,764 Show data context 1,123 Show data context 847 Show data context 661 Show data context
2011 1,427 Show data context 97 Show data context 5,001 Show data context 252 Show data context 582 Show data context 4,237 Show data context 8,170 Show data context 2,102 Show data context 2,341 Show data context 1,130 Show data context 794 Show data context 485 Show data context 2,278 Show data context 1,789 Show data context 7,916 Show data context 4,779 Show data context 6,888 Show data context 2,160 Show data context
2021 1,528 Show data context 137 Show data context 4,380 Show data context 447 Show data context 796 Show data context 5,061 Show data context 7,781 Show data context 2,121 Show data context 2,266 Show data context 1,700 Show data context 755 Show data context 581 Show data context 2,443 Show data context 2,336 Show data context 8,125 Show data context 5,748 Show data context 8,384 Show data context 2,243 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 system of four "Levels" appears in the census Small Area Statistics for 2001, 2011 and 2021/2, and the full definitions of the levels include a wide range of broadly equivalent qualifications.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10216140/cube/INDUSTRY_GEN_2021

Date accessed: 05th June 2026