Staffordshire Moorlands 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 5,370 Show data context 1,272 Show data context 7,437 Show data context 3 Show data context 9 Show data context 765 Show data context 651 Show data context 297 Show data context 240 Show data context 0 Show data context 8 Show data context 18 Show data context 50 Show data context 353 Show data context 79 Show data context 166 Show data context 60 Show data context 3,340 Show data context
1861 6,914 Show data context 2,315 Show data context 9,243 Show data context 13 Show data context 21 Show data context 998 Show data context 1,078 Show data context 591 Show data context 527 Show data context 6 Show data context 15 Show data context 186 Show data context 81 Show data context 81 Show data context 94 Show data context 213 Show data context 58 Show data context 1,821 Show data context
1881 4,055 Show data context 2,839 Show data context 13,066 Show data context 30 Show data context 17 Show data context 1,513 Show data context 1,292 Show data context 908 Show data context 361 Show data context 21 Show data context 69 Show data context 32 Show data context 142 Show data context 327 Show data context 179 Show data context 414 Show data context 92 Show data context 3,321 Show data context
1911 4,135 Show data context 4,004 Show data context 8,448 Show data context 76 Show data context 20 Show data context 1,205 Show data context 1,466 Show data context 1,489 Show data context 443 Show data context 35 Show data context 130 Show data context 0 Show data context 81 Show data context 468 Show data context 638 Show data context 466 Show data context 247 Show data context 3,480 Show data context
1931 3,770 Show data context 3,954 Show data context 14,279 Show data context 92 Show data context 38 Show data context 1,123 Show data context 2,333 Show data context 1,245 Show data context 429 Show data context 4 Show data context 235 Show data context 47 Show data context 187 Show data context 1 Show data context 830 Show data context 624 Show data context 426 Show data context 2,132 Show data context
1951 3,950 Show data context 2,767 Show data context 15,044 Show data context 268 Show data context 42 Show data context 1,504 Show data context 2,643 Show data context 1,175 Show data context 833 Show data context 0 Show data context 286 Show data context 0 Show data context 152 Show data context 0 Show data context 1,411 Show data context 690 Show data context 732 Show data context 932 Show data context
1971 1,730 Show data context 1,570 Show data context 11,708 Show data context 407 Show data context 59 Show data context 2,121 Show data context 2,980 Show data context 1,159 Show data context 591 Show data context 144 Show data context 303 Show data context 46 Show data context 216 Show data context 123 Show data context 1,635 Show data context 1,495 Show data context 656 Show data context 758 Show data context
2011 1,134 Show data context 152 Show data context 6,965 Show data context 245 Show data context 376 Show data context 4,156 Show data context 7,149 Show data context 2,076 Show data context 2,195 Show data context 868 Show data context 2,009 Show data context 616 Show data context 2,258 Show data context 1,854 Show data context 2,145 Show data context 4,452 Show data context 6,274 Show data context 2,667 Show data context
2021 1,330 Show data context 109 Show data context 5,169 Show data context 202 Show data context 387 Show data context 4,531 Show data context 6,678 Show data context 2,018 Show data context 1,867 Show data context 1,187 Show data context 1,222 Show data context 574 Show data context 2,257 Show data context 1,924 Show data context 2,061 Show data context 4,378 Show data context 6,680 Show data context 2,389 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, Staffordshire Moorlands District through time | Historical Statistics on Industry | Standard Industrial Classification (2007), A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10064004/cube/INDUSTRY_GEN_2021

Date accessed: 17th April 2026