Standardised Industrial Classification (1968) by Sex

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Data for 1921 Sex
Standard Industrial Classification (1968) Male Female
Agriculture 13,749 Show data context 486 Show data context
Mining 474 Show data context 2 Show data context
Food 1,586 Show data context 299 Show data context
Coal & petroleum products
Chemicals 93 Show data context 9 Show data context
Metal Manufacture 16 Show data context 0 Show data context
Mechanical Engineering 1,086 Show data context 62 Show data context
Instrument Engineering 16 Show data context 7 Show data context
Electrical engineering 135 Show data context 7 Show data context
Shipbuilding 153 Show data context 5 Show data context
Vehicles 1,344 Show data context 79 Show data context
Other Metals 520 Show data context 34 Show data context
Textiles 660 Show data context 671 Show data context
Leather 180 Show data context 30 Show data context
Clothing & Footwear 1,249 Show data context 1,705 Show data context
Bricks etc 282 Show data context 1 Show data context
Timber, Furniture 1,435 Show data context 101 Show data context
Paper, Printing 1,430 Show data context 433 Show data context
Other Manufacturing 94 Show data context 5 Show data context
Construction 4,150 Show data context 31 Show data context
Gas, Electricity, Water 481 Show data context 18 Show data context
Transport 3,350 Show data context 87 Show data context
Distributive Trades 5,858 Show data context 2,916 Show data context
Finance 598 Show data context 178 Show data context
Professionals 3,681 Show data context 1,787 Show data context
Miscellaneous Services 5,188 Show data context 11,207 Show data context
Public Administration & Defence 3,047 Show data context 1,836 Show data context
Not Classified 20 Show data context 0 Show data context
Data for 1931 Sex
Standard Industrial Classification (1968) Male Female
Agriculture 10,470 Show data context 282 Show data context
Mining 346 Show data context 3 Show data context
Food 1,729 Show data context 381 Show data context
Coal & petroleum products 5 Show data context 0 Show data context
Chemicals 96 Show data context 6 Show data context
Metal Manufacture 326 Show data context 6 Show data context
Mechanical Engineering 842 Show data context 51 Show data context
Instrument Engineering 93 Show data context 16 Show data context
Electrical engineering 371 Show data context 18 Show data context
Shipbuilding 152 Show data context 4 Show data context
Vehicles 6,168 Show data context 484 Show data context
Other Metals 687 Show data context 72 Show data context
Textiles 688 Show data context 683 Show data context
Leather 116 Show data context 24 Show data context
Clothing & Footwear 1,005 Show data context 1,438 Show data context
Bricks etc 517 Show data context 4 Show data context
Timber, Furniture 1,489 Show data context 80 Show data context
Paper, Printing 1,743 Show data context 548 Show data context
Other Manufacturing 114 Show data context 17 Show data context
Construction 6,341 Show data context 37 Show data context
Gas, Electricity, Water 809 Show data context 23 Show data context
Transport 5,233 Show data context 443 Show data context
Distributive Trades 7,920 Show data context 3,300 Show data context
Finance 957 Show data context 212 Show data context
Professionals 4,119 Show data context 3,466 Show data context
Miscellaneous Services 6,681 Show data context 13,138 Show data context
Public Administration & Defence 4,247 Show data context 530 Show data context
Not Classified 213 Show data context 55 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, Oxfordshire AdmC through time | Industry Statistics | Standardised Industrial Classification (1968) by Sex, A Vision of Britain through Time.

URL: http://www.visionofbritain.org.uk/unit/10134808/cube/SIC1968_SEX

Date accessed: 26th May 2013