Guildford 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 2,960 Show data context 34 Show data context 3,865 Show data context 6 Show data context 9 Show data context 1,350 Show data context 1,345 Show data context 708 Show data context 209 Show data context 7 Show data context 47 Show data context 41 Show data context 174 Show data context 1,198 Show data context 309 Show data context 325 Show data context 221 Show data context 5,480 Show data context
1861 3,285 Show data context 23 Show data context 1,825 Show data context 8 Show data context 10 Show data context 684 Show data context 559 Show data context 335 Show data context 254 Show data context 9 Show data context 10 Show data context 115 Show data context 74 Show data context 57 Show data context 1,034 Show data context 151 Show data context 73 Show data context 1,543 Show data context
1881 2,470 Show data context 11 Show data context 2,063 Show data context 15 Show data context 7 Show data context 1,078 Show data context 657 Show data context 649 Show data context 218 Show data context 29 Show data context 36 Show data context 24 Show data context 106 Show data context 132 Show data context 1,001 Show data context 279 Show data context 106 Show data context 3,212 Show data context
1911 2,081 Show data context 70 Show data context 3,247 Show data context 142 Show data context 33 Show data context 1,943 Show data context 2,192 Show data context 1,586 Show data context 506 Show data context 119 Show data context 338 Show data context 0 Show data context 298 Show data context 818 Show data context 1,357 Show data context 505 Show data context 672 Show data context 7,553 Show data context
1931 2,068 Show data context 46 Show data context 4,702 Show data context 282 Show data context 51 Show data context 2,411 Show data context 4,137 Show data context 2,205 Show data context 979 Show data context 81 Show data context 553 Show data context 89 Show data context 545 Show data context 3 Show data context 3,886 Show data context 750 Show data context 962 Show data context 7,920 Show data context
1951 2,200 Show data context 34 Show data context 8,286 Show data context 427 Show data context 36 Show data context 2,825 Show data context 6,100 Show data context 3,452 Show data context 1,821 Show data context 0 Show data context 891 Show data context 0 Show data context 697 Show data context 0 Show data context 6,229 Show data context 1,294 Show data context 1,531 Show data context 4,189 Show data context
1971 831 Show data context 25 Show data context 10,800 Show data context 1,288 Show data context 88 Show data context 4,319 Show data context 10,332 Show data context 4,190 Show data context 1,316 Show data context 962 Show data context 2,471 Show data context 344 Show data context 1,945 Show data context 501 Show data context 6,360 Show data context 4,255 Show data context 2,614 Show data context 2,544 Show data context
2011 219 Show data context 220 Show data context 3,820 Show data context 243 Show data context 373 Show data context 4,901 Show data context 9,818 Show data context 2,521 Show data context 3,432 Show data context 5,341 Show data context 3,560 Show data context 1,078 Show data context 7,526 Show data context 3,414 Show data context 4,179 Show data context 7,964 Show data context 7,404 Show data context 4,008 Show data context
2021 258 Show data context 163 Show data context 3,171 Show data context 311 Show data context 342 Show data context 5,356 Show data context 8,241 Show data context 2,226 Show data context 2,966 Show data context 5,580 Show data context 3,292 Show data context 1,207 Show data context 7,079 Show data context 3,704 Show data context 4,740 Show data context 7,983 Show data context 9,237 Show data context 3,924 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


Total deaths. We include here expected counts calculated from age-specific national mortality rates and census data on local age structures.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10217714/cube/INDUSTRY_GEN_2021

Date accessed: 07th June 2026