Standard Industrial Classification (2007), by sex
| Data for 1931 | Sex | |
|---|---|---|
| 2011 Industrial Classification | Male | Female |
| A: Agriculture, forestry & fishing |
458
|
25
|
| B: Mining & quarrying |
28
|
0
|
| C: Manufacturing |
4,038
|
1,686
|
| D: Electricity, gas, steam etc |
167
|
3
|
| E: Water, sewerage & waste mgt |
10
|
1
|
| F: Construction |
1,439
|
8
|
| G: Wholesale & retail trade |
1,368
|
463
|
| H: Transport & storage |
1,472
|
159
|
| I: Accommodation & catering |
84
|
89
|
| J: Information & communication |
22
|
4
|
| K: Financial & insurance |
211
|
34
|
| L: Real estate activities. |
62
|
14
|
| M: Professional, scientific & technical |
103
|
20
|
| N: Administrative & support |
0
|
1
|
| O: Public administration & defence |
499
|
45
|
| P: Education |
112
|
247
|
| Q: Human health & social work |
61
|
109
|
| R,S: Arts & recreation; other services |
204
|
138
|
| T: Activities of households |
356
|
863
|
| U: Extraterritorial bodies |
0
|
0
|
| Data for 1951 | Sex | |
|---|---|---|
| 2011 Industrial Classification | Male | Female |
| A: Agriculture, forestry & fishing |
338
|
87
|
| B: Mining & quarrying |
6
|
0
|
| C: Manufacturing |
18,492
|
8,604
|
| D: Electricity, gas, steam etc |
478
|
21
|
| E: Water, sewerage & waste mgt |
29
|
1
|
| F: Construction |
1,892
|
71
|
| G: Wholesale & retail trade |
2,131
|
1,399
|
| H: Transport & storage |
1,417
|
271
|
| I: Accommodation & catering |
227
|
996
|
| J: Information & communication |
0
|
0
|
| K: Financial & insurance |
355
|
139
|
| L: Real estate activities. |
0
|
0
|
| M: Professional, scientific & technical |
209
|
136
|
| N: Administrative & support |
0
|
0
|
| O: Public administration & defence |
1,193
|
273
|
| P: Education |
239
|
433
|
| Q: Human health & social work |
142
|
344
|
| R,S: Arts & recreation; other services |
514
|
527
|
| T: Activities of households |
41
|
250
|
| U: Extraterritorial bodies |
0
|
0
|
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This classification of industry is that used by the 2011 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. Here we break the numbers in each industry down by gender, but this is not possible with the 2011 dat...
a, only with the re-districted and re-classified historical statisics.