Standard Industrial Classification (2007), by sex
| Data for 1931 | Sex | |
|---|---|---|
| 2011 Industrial Classification | Male | Female |
| A: Agriculture, forestry & fishing |
91
|
6
|
| B: Mining & quarrying |
1
|
0
|
| C: Manufacturing |
2,079
|
222
|
| D: Electricity, gas, steam etc |
82
|
1
|
| E: Water, sewerage & waste mgt |
6
|
1
|
| F: Construction |
337
|
1
|
| G: Wholesale & retail trade |
842
|
355
|
| H: Transport & storage |
754
|
36
|
| I: Accommodation & catering |
53
|
116
|
| J: Information & communication |
7
|
3
|
| K: Financial & insurance |
97
|
25
|
| L: Real estate activities. |
21
|
4
|
| M: Professional, scientific & technical |
54
|
17
|
| N: Administrative & support |
0
|
1
|
| O: Public administration & defence |
198
|
16
|
| P: Education |
51
|
94
|
| Q: Human health & social work |
50
|
91
|
| R,S: Arts & recreation; other services |
71
|
93
|
| T: Activities of households |
94
|
513
|
| U: Extraterritorial bodies |
0
|
0
|
| Data for 1951 | Sex | |
|---|---|---|
| 2011 Industrial Classification | Male | Female |
| A: Agriculture, forestry & fishing |
187
|
26
|
| B: Mining & quarrying |
3
|
1
|
| C: Manufacturing |
3,594
|
496
|
| D: Electricity, gas, steam etc |
209
|
12
|
| E: Water, sewerage & waste mgt |
9
|
0
|
| F: Construction |
815
|
8
|
| G: Wholesale & retail trade |
1,700
|
854
|
| H: Transport & storage |
1,619
|
155
|
| I: Accommodation & catering |
108
|
306
|
| J: Information & communication |
0
|
0
|
| K: Financial & insurance |
160
|
98
|
| L: Real estate activities. |
0
|
0
|
| M: Professional, scientific & technical |
85
|
47
|
| N: Administrative & support |
0
|
0
|
| O: Public administration & defence |
1,026
|
165
|
| P: Education |
110
|
262
|
| Q: Human health & social work |
198
|
437
|
| R,S: Arts & recreation; other services |
189
|
266
|
| T: Activities of households |
46
|
184
|
| U: Extraterritorial bodies |
0
|
0
|
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This data matrix presents simplified version of the 1881 occupational data, using the 24 'Orders' used in the published reports for 1881, plus an 'Unknown' category. Many of these categories combine 'Workers and Dealers' in different commodities, so it is impossible to distinguish workers in manufacturing and services.