Standardised Industrial Classification (1968) by Sex

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Data for 1921 Sex
Standard Industrial Classification (1968) Male Female
Agriculture 15,551 Show data context 936 Show data context
Mining 1,390 Show data context 5 Show data context
Food 2,293 Show data context 463 Show data context
Coal & petroleum products
Chemicals 940 Show data context 165 Show data context
Metal Manufacture 41 Show data context 1 Show data context
Mechanical Engineering 1,394 Show data context 46 Show data context
Instrument Engineering 11 Show data context 0 Show data context
Electrical engineering 69 Show data context 4 Show data context
Shipbuilding 224 Show data context 2 Show data context
Vehicles 979 Show data context 33 Show data context
Other Metals 507 Show data context 11 Show data context
Textiles 649 Show data context 679 Show data context
Leather 162 Show data context 17 Show data context
Clothing & Footwear 820 Show data context 1,444 Show data context
Bricks etc 1,258 Show data context 121 Show data context
Timber, Furniture 1,320 Show data context 84 Show data context
Paper, Printing 306 Show data context 58 Show data context
Other Manufacturing 66 Show data context 21 Show data context
Construction 3,708 Show data context 30 Show data context
Gas, Electricity, Water 959 Show data context 13 Show data context
Transport 3,153 Show data context 80 Show data context
Distributive Trades 5,838 Show data context 3,003 Show data context
Finance 654 Show data context 137 Show data context
Professionals 1,333 Show data context 1,457 Show data context
Miscellaneous Services 5,262 Show data context 11,537 Show data context
Public Administration & Defence 4,595 Show data context 1,927 Show data context
Not Classified 126 Show data context 1 Show data context
Data for 1931 Sex
Standard Industrial Classification (1968) Male Female
Agriculture 14,035 Show data context 669 Show data context
Mining 1,692 Show data context 5 Show data context
Food 2,581 Show data context 490 Show data context
Coal & petroleum products 5 Show data context 0 Show data context
Chemicals 1,114 Show data context 58 Show data context
Metal Manufacture 50 Show data context 3 Show data context
Mechanical Engineering 1,236 Show data context 35 Show data context
Instrument Engineering 98 Show data context 6 Show data context
Electrical engineering 255 Show data context 12 Show data context
Shipbuilding 190 Show data context 1 Show data context
Vehicles 921 Show data context 43 Show data context
Other Metals 356 Show data context 17 Show data context
Textiles 515 Show data context 577 Show data context
Leather 77 Show data context 11 Show data context
Clothing & Footwear 782 Show data context 1,085 Show data context
Bricks etc 2,281 Show data context 159 Show data context
Timber, Furniture 1,098 Show data context 71 Show data context
Paper, Printing 529 Show data context 90 Show data context
Other Manufacturing 115 Show data context 13 Show data context
Construction 7,198 Show data context 59 Show data context
Gas, Electricity, Water 1,590 Show data context 22 Show data context
Transport 6,149 Show data context 451 Show data context
Distributive Trades 9,373 Show data context 4,041 Show data context
Finance 1,142 Show data context 145 Show data context
Professionals 2,296 Show data context 3,122 Show data context
Miscellaneous Services 7,535 Show data context 14,280 Show data context
Public Administration & Defence 9,948 Show data context 530 Show data context
Not Classified 237 Show data context 37 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, Dorset AdmC through time | Industry Statistics | Standardised Industrial Classification (1968) by Sex, A Vision of Britain through Time.

URL: http://www.visionofbritain.org.uk/unit/10107416/cube/SIC1968_SEX

Date accessed: 19th May 2013