Powys 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 19,949 Show data context 3,453 Show data context 9,701 Show data context 1 Show data context 10 Show data context 2,440 Show data context 1,314 Show data context 719 Show data context 585 Show data context 0 Show data context 15 Show data context 49 Show data context 112 Show data context 424 Show data context 458 Show data context 206 Show data context 180 Show data context 10,735 Show data context
1861 29,057 Show data context 3,988 Show data context 11,969 Show data context 18 Show data context 45 Show data context 3,638 Show data context 2,182 Show data context 1,157 Show data context 1,306 Show data context 16 Show data context 21 Show data context 507 Show data context 196 Show data context 166 Show data context 336 Show data context 427 Show data context 191 Show data context 6,145 Show data context
1881 17,107 Show data context 2,463 Show data context 7,419 Show data context 27 Show data context 29 Show data context 2,897 Show data context 2,098 Show data context 1,093 Show data context 747 Show data context 34 Show data context 102 Show data context 69 Show data context 271 Show data context 244 Show data context 803 Show data context 635 Show data context 227 Show data context 9,878 Show data context
1911 19,083 Show data context 5,247 Show data context 6,420 Show data context 121 Show data context 16 Show data context 3,323 Show data context 3,663 Show data context 2,385 Show data context 1,528 Show data context 117 Show data context 297 Show data context 0 Show data context 233 Show data context 344 Show data context 1,032 Show data context 982 Show data context 391 Show data context 9,087 Show data context
1931 16,376 Show data context 3,785 Show data context 3,607 Show data context 140 Show data context 214 Show data context 1,605 Show data context 4,286 Show data context 2,916 Show data context 1,583 Show data context 7 Show data context 417 Show data context 123 Show data context 285 Show data context 0 Show data context 1,965 Show data context 1,199 Show data context 739 Show data context 6,642 Show data context
1951 14,847 Show data context 1,967 Show data context 4,644 Show data context 360 Show data context 262 Show data context 2,900 Show data context 4,678 Show data context 3,011 Show data context 1,810 Show data context 0 Show data context 620 Show data context 0 Show data context 332 Show data context 0 Show data context 4,139 Show data context 1,290 Show data context 1,033 Show data context 2,441 Show data context
1971 8,148 Show data context 402 Show data context 6,057 Show data context 295 Show data context 294 Show data context 3,110 Show data context 4,205 Show data context 1,943 Show data context 895 Show data context 210 Show data context 332 Show data context 82 Show data context 301 Show data context 113 Show data context 3,109 Show data context 1,660 Show data context 953 Show data context 892 Show data context
2011 5,517 Show data context 265 Show data context 5,814 Show data context 271 Show data context 575 Show data context 5,942 Show data context 9,593 Show data context 2,203 Show data context 4,088 Show data context 1,132 Show data context 911 Show data context 753 Show data context 2,825 Show data context 2,300 Show data context 4,305 Show data context 5,871 Show data context 8,266 Show data context 3,022 Show data context
2021 5,810 Show data context 131 Show data context 5,117 Show data context 294 Show data context 519 Show data context 6,281 Show data context 8,617 Show data context 2,076 Show data context 3,071 Show data context 1,368 Show data context 791 Show data context 584 Show data context 2,828 Show data context 2,519 Show data context 4,601 Show data context 5,199 Show data context 9,122 Show data context 2,795 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


This classification of industry is that used by the 2021 Census, and forms the basic for our standardisation of historical information on industrial structure. The modern data are a classification of workers by their employers' business and count them by their place of work. However, before 1951 they are counted by place of residence, and before 1921 workers have to be classified by their individual occupations.


How to reference this page:

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

URL: https://www.visionofbritain.org.uk/unit/10168302/cube/INDUSTRY_GEN_2021

Date accessed: 04th June 2026