Standardised Industrial Classification (1968) by Sex

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Data for 1921 Sex
Standard Industrial Classification (1968) Male Female
Agriculture 38,316 Show data context 2,763 Show data context
Mining 159,347 Show data context 166 Show data context
Food 16,364 Show data context 12,238 Show data context
Coal & petroleum products
Chemicals 12,998 Show data context 2,361 Show data context
Metal Manufacture 83,725 Show data context 3,544 Show data context
Mechanical Engineering 71,509 Show data context 4,293 Show data context
Instrument Engineering 845 Show data context 394 Show data context
Electrical engineering 5,831 Show data context 830 Show data context
Shipbuilding 2,317 Show data context 32 Show data context
Vehicles 18,563 Show data context 295 Show data context
Other Metals 44,474 Show data context 17,263 Show data context
Textiles 138,240 Show data context 153,062 Show data context
Leather 4,366 Show data context 989 Show data context
Clothing & Footwear 23,522 Show data context 47,798 Show data context
Bricks etc 15,774 Show data context 1,659 Show data context
Timber, Furniture 15,300 Show data context 2,152 Show data context
Paper, Printing 11,924 Show data context 6,976 Show data context
Other Manufacturing 3,468 Show data context 1,768 Show data context
Construction 45,348 Show data context 675 Show data context
Gas, Electricity, Water 14,246 Show data context 296 Show data context
Transport 65,382 Show data context 1,968 Show data context
Distributive Trades 91,235 Show data context 45,656 Show data context
Finance 10,867 Show data context 3,310 Show data context
Professionals 15,188 Show data context 10,940 Show data context
Miscellaneous Services 28,958 Show data context 72,049 Show data context
Public Administration & Defence 46,337 Show data context 24,508 Show data context
Not Classified 162 Show data context 25 Show data context
Data for 1931 Sex
Standard Industrial Classification (1968) Male Female
Agriculture 37,969 Show data context 2,067 Show data context
Mining 177,980 Show data context 383 Show data context
Food 20,020 Show data context 12,704 Show data context
Coal & petroleum products 3,900 Show data context 82 Show data context
Chemicals 8,880 Show data context 2,939 Show data context
Metal Manufacture 53,932 Show data context 3,245 Show data context
Mechanical Engineering 42,677 Show data context 3,188 Show data context
Instrument Engineering 1,981 Show data context 725 Show data context
Electrical engineering 6,979 Show data context 1,396 Show data context
Shipbuilding 755 Show data context 14 Show data context
Vehicles 17,250 Show data context 1,012 Show data context
Other Metals 35,025 Show data context 15,464 Show data context
Textiles 112,739 Show data context 132,535 Show data context
Leather 3,958 Show data context 1,100 Show data context
Clothing & Footwear 24,568 Show data context 55,574 Show data context
Bricks etc 14,752 Show data context 1,438 Show data context
Timber, Furniture 15,037 Show data context 2,196 Show data context
Paper, Printing 14,395 Show data context 7,619 Show data context
Other Manufacturing 3,607 Show data context 1,736 Show data context
Construction 46,733 Show data context 678 Show data context
Gas, Electricity, Water 15,553 Show data context 466 Show data context
Transport 80,327 Show data context 4,638 Show data context
Distributive Trades 122,424 Show data context 53,155 Show data context
Finance 15,003 Show data context 3,327 Show data context
Professionals 23,179 Show data context 27,185 Show data context
Miscellaneous Services 38,896 Show data context 94,446 Show data context
Public Administration & Defence 47,212 Show data context 10,211 Show data context
Not Classified 1,260 Show data context 390 Show data context
Date: Source:
1921 - 1931 Lee, C.H., British Regional Employment Statistics 1841-1971 (Cambridge: Cambridge University Press, 1979)

 

We are grateful to the following contributors. If you make use of the data in your own work, please follow any instructions given here on acknowledgment and re-use.

Date: Acknowledgments:
1921 - 1931 Clive Lee (Department of Economics, University of Aberdeen). Role: creator. Restrictions on use: the contributor must be acknowledged but the data may be freely used for non-commercial purposes.

 

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nCube definition


A project based at the University of Aberdeen and directed by Clive Lee systematically re-worked county-level occupation/industry data from all censuses 1841-1971 to the 1968 Standard Industrial Classification, distinguishing males and females. Lee calculated two alternative sets of data, Series A and Series B. The former is for Registration Counties and follows the nineteenth century censuses approach of grouping distributive workers with those involved in manufacturing the same items. Series B is for Administra...


tive Counties and is closely modeled on employment classifications used in the 1970s; in consequence, sector 23 ('Distributive Trades') is much larger. Lee's book provides a detailed discussion of the difference between the two series. Unfortunately, Lee did not list data for all individual counties: For Scotland, the original counties were aggregated to the regions of the 1975-96 period. For Wales, all counties were grouped into just 'Glamorgan and Monmouthshire' and 'North and West Wales'. He did provide data for all individual Registration Counties in England, but his data for Administrative Counties merges the parts of Lincolnshire, Suffolk and Sussex. Given that these are derived data and that our system holds many of the original occupational tables he used, we hold Lee's data only for actual counties and nations already in our system.

How to reference this page:

GB Historical GIS / University of Portsmouth, West Riding AdmC through time | Industry Statistics | Standardised Industrial Classification (1968) by Sex, A Vision of Britain through Time.

URL: http://www.visionofbritain.org.uk/unit/10200120/cube/SIC1968_SEX

Date accessed: 23rd May 2013