Standard Industrial Classification (2007), by sex
| Data for 1931 | Sex | |
|---|---|---|
| 2011 Industrial Classification | Male | Female |
| A: Agriculture, forestry & fishing |
343
|
49
|
| B: Mining & quarrying |
6,902
|
10
|
| C: Manufacturing |
2,050
|
249
|
| D: Electricity, gas, steam etc |
17
|
1
|
| E: Water, sewerage & waste mgt |
18
|
1
|
| F: Construction |
309
|
0
|
| G: Wholesale & retail trade |
688
|
346
|
| H: Transport & storage |
728
|
32
|
| I: Accommodation & catering |
68
|
89
|
| J: Information & communication |
2
|
0
|
| K: Financial & insurance |
85
|
10
|
| L: Real estate activities. |
11
|
2
|
| M: Professional, scientific & technical |
36
|
7
|
| N: Administrative & support |
0
|
0
|
| O: Public administration & defence |
345
|
24
|
| P: Education |
126
|
160
|
| Q: Human health & social work |
55
|
69
|
| R,S: Arts & recreation; other services |
180
|
50
|
| T: Activities of households |
58
|
512
|
| U: Extraterritorial bodies |
0
|
0
|
| Data for 1951 | Sex | |
|---|---|---|
| 2011 Industrial Classification | Male | Female |
| A: Agriculture, forestry & fishing |
451
|
51
|
| B: Mining & quarrying |
10,303
|
21
|
| C: Manufacturing |
7,877
|
2,295
|
| D: Electricity, gas, steam etc |
21
|
1
|
| E: Water, sewerage & waste mgt |
4
|
0
|
| F: Construction |
2,920
|
42
|
| G: Wholesale & retail trade |
731
|
426
|
| H: Transport & storage |
563
|
60
|
| I: Accommodation & catering |
112
|
414
|
| J: Information & communication |
0
|
0
|
| K: Financial & insurance |
82
|
11
|
| L: Real estate activities. |
0
|
0
|
| M: Professional, scientific & technical |
38
|
8
|
| N: Administrative & support |
0
|
0
|
| O: Public administration & defence |
305
|
41
|
| P: Education |
98
|
180
|
| Q: Human health & social work |
32
|
102
|
| R,S: Arts & recreation; other services |
143
|
100
|
| T: Activities of households |
15
|
114
|
| U: Extraterritorial bodies |
0
|
0
|
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This set of three generalised categories was suggested by Dr. John Chapman (University of Portsmouth) and identifies breeding ewes, lambs aged under one, and all other sheep. Dr. Chapman notes that the number of ewes measures the breeding stock while the number of lambs measures the productivity of that stock.