Standardised Industrial Classification (1968) by Sex
| Data for 1971 | Sex | |
|---|---|---|
| Standard Industrial Classification (1968) | Male | Female |
| Agriculture |
90
|
10
|
| Mining |
10
|
0
|
| Food |
120
|
10
|
| Coal & petroleum products |
0
|
0
|
| Chemicals |
770
|
350
|
| Metal Manufacture |
10
|
0
|
| Mechanical Engineering |
380
|
40
|
| Instrument Engineering |
600
|
180
|
| Electrical engineering |
230
|
290
|
| Shipbuilding |
20
|
10
|
| Vehicles |
10
|
20
|
| Other Metals |
50
|
0
|
| Textiles |
0
|
10
|
| Leather |
0
|
0
|
| Clothing & Footwear |
30
|
80
|
| Bricks etc |
30
|
10
|
| Timber, Furniture |
110
|
0
|
| Paper, Printing |
930
|
1,290
|
| Other Manufacturing |
70
|
10
|
| Construction |
1,350
|
130
|
| Gas, Electricity, Water |
50
|
0
|
| Transport |
560
|
40
|
| Distributive Trades |
1,150
|
1,280
|
| Finance |
210
|
420
|
| Professionals |
700
|
1,450
|
| Miscellaneous Services |
710
|
1,110
|
| Public Administration & Defence |
710
|
380
|
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"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".
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A University of Aberdeen project 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. Series A is for all individual 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 Administrative C...
ounties and is closely modeled on employment classifications used in the 1970s so sector 23 ('Distributive Trades') is much larger. Not all individual administrative county data are listed. Scottish counties were aggregated to the 1975-1996 regions and Welsh counties were grouped into 'Glamorgan and Monmouthshire' and 'North and West Wales'. As these are derived data, we hold Lee's data only for actual counties and nations already in our system.