Tewkesbury 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 3,848 Show data context 368 Show data context 3,561 Show data context 2 Show data context 2 Show data context 922 Show data context 605 Show data context 391 Show data context 176 Show data context 1 Show data context 8 Show data context 19 Show data context 86 Show data context 267 Show data context 120 Show data context 148 Show data context 87 Show data context 2,869 Show data context
1861 5,317 Show data context 101 Show data context 4,912 Show data context 19 Show data context 21 Show data context 1,425 Show data context 1,345 Show data context 1,021 Show data context 632 Show data context 17 Show data context 15 Show data context 346 Show data context 194 Show data context 179 Show data context 222 Show data context 383 Show data context 221 Show data context 3,951 Show data context
1881 3,420 Show data context 27 Show data context 1,590 Show data context 8 Show data context 1 Show data context 656 Show data context 434 Show data context 305 Show data context 121 Show data context 7 Show data context 15 Show data context 11 Show data context 62 Show data context 79 Show data context 147 Show data context 208 Show data context 55 Show data context 2,329 Show data context
1911 2,416 Show data context 785 Show data context 2,768 Show data context 34 Show data context 4 Show data context 742 Show data context 779 Show data context 738 Show data context 264 Show data context 29 Show data context 68 Show data context 0 Show data context 51 Show data context 152 Show data context 221 Show data context 264 Show data context 171 Show data context 2,453 Show data context
1931 2,576 Show data context 81 Show data context 1,324 Show data context 75 Show data context 20 Show data context 553 Show data context 1,123 Show data context 686 Show data context 370 Show data context 5 Show data context 108 Show data context 26 Show data context 89 Show data context 1 Show data context 414 Show data context 371 Show data context 230 Show data context 2,459 Show data context
1951 3,007 Show data context 257 Show data context 10,156 Show data context 68 Show data context 31 Show data context 1,045 Show data context 1,088 Show data context 664 Show data context 874 Show data context 0 Show data context 109 Show data context 0 Show data context 83 Show data context 0 Show data context 3,964 Show data context 370 Show data context 536 Show data context 1,096 Show data context
1971 1,330 Show data context 115 Show data context 9,631 Show data context 232 Show data context 33 Show data context 1,646 Show data context 1,968 Show data context 729 Show data context 385 Show data context 223 Show data context 180 Show data context 45 Show data context 354 Show data context 63 Show data context 1,493 Show data context 868 Show data context 390 Show data context 581 Show data context
2011 611 Show data context 56 Show data context 5,132 Show data context 385 Show data context 280 Show data context 2,988 Show data context 6,117 Show data context 1,333 Show data context 2,132 Show data context 1,465 Show data context 2,113 Show data context 522 Show data context 2,656 Show data context 1,827 Show data context 3,640 Show data context 3,866 Show data context 4,582 Show data context 1,839 Show data context
2021 647 Show data context 61 Show data context 4,334 Show data context 381 Show data context 305 Show data context 3,922 Show data context 6,515 Show data context 1,544 Show data context 1,939 Show data context 2,257 Show data context 2,148 Show data context 693 Show data context 2,863 Show data context 2,359 Show data context 3,929 Show data context 4,589 Show data context 6,159 Show data context 1,902 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 1831 census provided information at parish-level on the number of males aged over 20 in each of nine occupational categories. Here we group those nine into four to identify the main sectors: "Agriculture" combines large- and small-scale farmers with agricultural labourers. "Manufacturing" focuses on new factory-based industries. "Retail and handicrafts" covers those in small businesses who sold products they made themselves. "Other" covers "capitalists" and professionals, labourers outside agriculture, servants ...


and "others".


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10032854/cube/INDUSTRY_GEN_2021

Date accessed: 07th June 2026