New Forest 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 6,226 Show data context 8 Show data context 2,257 Show data context 1 Show data context 4 Show data context 885 Show data context 513 Show data context 358 Show data context 165 Show data context 8 Show data context 8 Show data context 15 Show data context 44 Show data context 306 Show data context 174 Show data context 155 Show data context 88 Show data context 3,108 Show data context
1861 5,165 Show data context 3 Show data context 2,274 Show data context 5 Show data context 2 Show data context 774 Show data context 694 Show data context 574 Show data context 353 Show data context 5 Show data context 10 Show data context 169 Show data context 59 Show data context 43 Show data context 433 Show data context 224 Show data context 89 Show data context 2,178 Show data context
1881 3,541 Show data context 3 Show data context 1,811 Show data context 10 Show data context 2 Show data context 925 Show data context 649 Show data context 671 Show data context 222 Show data context 20 Show data context 17 Show data context 17 Show data context 58 Show data context 79 Show data context 432 Show data context 330 Show data context 76 Show data context 3,325 Show data context
1911 4,591 Show data context 31 Show data context 1,993 Show data context 40 Show data context 9 Show data context 1,231 Show data context 987 Show data context 1,190 Show data context 399 Show data context 37 Show data context 60 Show data context 0 Show data context 76 Show data context 133 Show data context 2,633 Show data context 358 Show data context 209 Show data context 4,878 Show data context
1931 3,352 Show data context 35 Show data context 3,304 Show data context 212 Show data context 39 Show data context 2,403 Show data context 2,867 Show data context 1,701 Show data context 882 Show data context 11 Show data context 208 Show data context 89 Show data context 163 Show data context 2 Show data context 1,509 Show data context 535 Show data context 468 Show data context 7,083 Show data context
1951 3,908 Show data context 86 Show data context 9,329 Show data context 370 Show data context 40 Show data context 3,904 Show data context 4,081 Show data context 1,696 Show data context 1,618 Show data context 0 Show data context 403 Show data context 0 Show data context 232 Show data context 0 Show data context 3,002 Show data context 773 Show data context 927 Show data context 3,325 Show data context
1971 2,401 Show data context 79 Show data context 10,634 Show data context 646 Show data context 71 Show data context 4,489 Show data context 5,452 Show data context 2,099 Show data context 1,047 Show data context 597 Show data context 529 Show data context 166 Show data context 1,843 Show data context 122 Show data context 7,355 Show data context 2,005 Show data context 1,419 Show data context 1,885 Show data context
2011 863 Show data context 130 Show data context 7,424 Show data context 524 Show data context 627 Show data context 7,409 Show data context 12,666 Show data context 3,990 Show data context 5,243 Show data context 2,613 Show data context 3,015 Show data context 1,402 Show data context 5,688 Show data context 3,871 Show data context 4,437 Show data context 7,760 Show data context 10,870 Show data context 4,461 Show data context
2021 891 Show data context 278 Show data context 5,251 Show data context 474 Show data context 543 Show data context 8,117 Show data context 10,975 Show data context 3,458 Show data context 4,396 Show data context 2,895 Show data context 2,548 Show data context 1,413 Show data context 5,430 Show data context 4,313 Show data context 4,110 Show data context 7,163 Show data context 12,231 Show data context 4,178 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, New Forest District through time | Historical Statistics on Industry | Standard Industrial Classification (2007), A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10105298/cube/INDUSTRY_GEN_2021

Date accessed: 07th June 2026