Lincoln 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 1,066 Show data context 5 Show data context 1,653 Show data context 2 Show data context 0 Show data context 482 Show data context 421 Show data context 236 Show data context 123 Show data context 5 Show data context 4 Show data context 6 Show data context 66 Show data context 203 Show data context 38 Show data context 92 Show data context 84 Show data context 1,537 Show data context
1861 355 Show data context 1 Show data context 210 Show data context 1 Show data context 1 Show data context 59 Show data context 55 Show data context 24 Show data context 22 Show data context 1 Show data context 1 Show data context 9 Show data context 6 Show data context 4 Show data context 8 Show data context 13 Show data context 12 Show data context 119 Show data context
1881 580 Show data context 76 Show data context 5,146 Show data context 25 Show data context 14 Show data context 1,416 Show data context 1,006 Show data context 593 Show data context 247 Show data context 45 Show data context 65 Show data context 17 Show data context 163 Show data context 300 Show data context 291 Show data context 297 Show data context 187 Show data context 2,309 Show data context
1911 824 Show data context 115 Show data context 11,785 Show data context 106 Show data context 27 Show data context 1,827 Show data context 2,505 Show data context 1,892 Show data context 564 Show data context 107 Show data context 209 Show data context 0 Show data context 164 Show data context 725 Show data context 619 Show data context 409 Show data context 389 Show data context 3,096 Show data context
1931 349 Show data context 93 Show data context 9,923 Show data context 236 Show data context 23 Show data context 844 Show data context 4,101 Show data context 2,026 Show data context 699 Show data context 15 Show data context 372 Show data context 48 Show data context 182 Show data context 3 Show data context 1,531 Show data context 578 Show data context 637 Show data context 2,827 Show data context
1951 366 Show data context 19 Show data context 14,381 Show data context 521 Show data context 33 Show data context 1,996 Show data context 4,879 Show data context 2,826 Show data context 1,244 Show data context 0 Show data context 536 Show data context 0 Show data context 335 Show data context 0 Show data context 2,941 Show data context 745 Show data context 1,076 Show data context 1,432 Show data context
1971 258 Show data context 24 Show data context 14,164 Show data context 602 Show data context 174 Show data context 2,331 Show data context 6,609 Show data context 2,697 Show data context 1,204 Show data context 311 Show data context 1,199 Show data context 40 Show data context 581 Show data context 300 Show data context 3,838 Show data context 1,813 Show data context 2,220 Show data context 1,313 Show data context
2011 333 Show data context 56 Show data context 4,835 Show data context 231 Show data context 592 Show data context 3,447 Show data context 8,567 Show data context 1,826 Show data context 3,197 Show data context 1,101 Show data context 547 Show data context 430 Show data context 1,623 Show data context 2,109 Show data context 3,344 Show data context 3,969 Show data context 6,362 Show data context 2,030 Show data context
2021 348 Show data context 67 Show data context 4,356 Show data context 304 Show data context 670 Show data context 3,760 Show data context 8,718 Show data context 1,973 Show data context 2,981 Show data context 1,410 Show data context 465 Show data context 460 Show data context 1,586 Show data context 2,572 Show data context 3,045 Show data context 4,459 Show data context 7,662 Show data context 1,882 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))

This website exists to help people doing personal research projects on particular areas within a locality. So long as you are using our data for only a small number of units, you are not making money out of what you are doing, and you are not systematically re-publishing our data, you do not need to request permission from us, but you do need to acknowledge us as your source with the wording:

"This work is based on data provided through www.VisionofBritain.org.uk and uses historical material which is copyright of the Great Britain Historical GIS Project and the University of Portsmouth".

Where the above statement is included in a web page or similar online resource, the reference to "www.VisionofBritain.org.uk" must be a working hyperlink.

nCube definition


The National Statistics Socio-economic Classfication has been used by the census since 2001 "to measure the employment relations and conditions of occupations", replacing the earlier system of Socio-Economic Groups.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10168624/cube/INDUSTRY_GEN_2021

Date accessed: 30th May 2026