Persons Aged over 10 by Sex, Age & 1911 Occupational Order
Data for 1911:
| Sex = Male | 1911 Occupation Tables Age Groups | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1911 Occupational Classification | 10-12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65 up |
| Government |
0
|
1
|
5
|
10
|
8
|
5
|
6
|
4
|
40
|
99
|
69
|
41
|
13
|
2
|
| Defence |
0
|
0
|
0
|
0
|
0
|
1
|
0
|
1
|
2
|
5
|
8
|
3
|
0
|
0
|
| Professional Occupations |
0
|
2
|
3
|
3
|
7
|
12
|
19
|
8
|
83
|
148
|
114
|
81
|
39
|
20
|
| Domestic Services |
0
|
0
|
2
|
3
|
1
|
3
|
3
|
2
|
48
|
53
|
47
|
35
|
24
|
6
|
| Commercial Occupations |
0
|
2
|
21
|
54
|
41
|
52
|
44
|
41
|
186
|
306
|
237
|
146
|
72
|
36
|
| Transport |
13
|
69
|
156
|
91
|
52
|
38
|
52
|
49
|
271
|
503
|
386
|
288
|
142
|
37
|
| Agriculture |
0
|
1
|
2
|
7
|
6
|
5
|
7
|
9
|
29
|
47
|
48
|
40
|
36
|
24
|
| Mines & Quarries | ||||||||||||||
| Metals, Machines |
0
|
32
|
125
|
173
|
223
|
261
|
331
|
283
|
1,531
|
2,627
|
1,951
|
1,252
|
583
|
150
|
| Jewelry, Instruments |
0
|
3
|
32
|
50
|
71
|
76
|
87
|
52
|
349
|
609
|
418
|
329
|
194
|
74
|
| Building |
0
|
1
|
0
|
0
|
1
|
3
|
0
|
0
|
3
|
12
|
11
|
4
|
6
|
7
|
| Wood, Furniture |
0
|
1
|
27
|
32
|
41
|
48
|
54
|
53
|
278
|
503
|
306
|
288
|
190
|
55
|
| Brick, Cement |
1
|
13
|
32
|
31
|
28
|
36
|
27
|
21
|
81
|
132
|
82
|
66
|
25
|
7
|
| Chemicals |
11
|
83
|
327
|
399
|
419
|
347
|
279
|
274
|
1,117
|
1,777
|
1,450
|
806
|
338
|
91
|
| Skins, Leather |
0
|
5
|
39
|
24
|
20
|
20
|
26
|
31
|
141
|
335
|
339
|
244
|
146
|
52
|
| Paper, Prints |
0
|
0
|
0
|
0
|
0
|
6
|
0
|
0
|
3
|
5
|
7
|
1
|
3
|
3
|
| Textile Fabrics |
0
|
1
|
4
|
4
|
3
|
2
|
8
|
6
|
19
|
33
|
16
|
17
|
6
|
4
|
| Dress |
0
|
2
|
3
|
3
|
4
|
2
|
4
|
1
|
14
|
21
|
15
|
15
|
8
|
5
|
| Food, Drink |
5
|
3
|
6
|
12
|
13
|
14
|
12
|
10
|
70
|
110
|
90
|
53
|
29
|
25
|
| Gas, Water |
0
|
5
|
21
|
33
|
45
|
39
|
49
|
45
|
199
|
365
|
307
|
191
|
95
|
41
|
| Other & Undefined |
0
|
0
|
2
|
0
|
1
|
1
|
4
|
2
|
26
|
71
|
82
|
45
|
26
|
13
|
| Unoccupied |
5
|
9
|
21
|
28
|
25
|
35
|
44
|
34
|
179
|
364
|
309
|
253
|
167
|
83
|
| Sex = Female | 1911 Occupation Tables Age Groups | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1911 Occupational Classification | 10-12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20-24 | 25-34 | 35-44 | 45-54 | 55-64 | 65 up |
| Government |
0
|
0
|
0
|
0
|
1
|
2
|
0
|
1
|
9
|
8
|
5
|
3
|
4
|
0
|
| Defence | ||||||||||||||
| Professional Occupations |
0
|
0
|
1
|
0
|
1
|
5
|
15
|
20
|
191
|
243
|
123
|
74
|
24
|
13
|
| Domestic Services |
2
|
14
|
86
|
153
|
135
|
159
|
188
|
178
|
521
|
360
|
157
|
127
|
83
|
27
|
| Commercial Occupations |
0
|
0
|
2
|
2
|
11
|
9
|
11
|
10
|
33
|
33
|
13
|
5
|
2
|
1
|
| Transport |
0
|
2
|
6
|
5
|
2
|
1
|
6
|
3
|
8
|
4
|
3
|
2
|
0
|
0
|
| Agriculture |
0
|
0
|
0
|
0
|
2
|
1
|
1
|
0
|
3
|
6
|
2
|
2
|
4
|
2
|
| Mines & Quarries | ||||||||||||||
| Metals, Machines |
0
|
0
|
2
|
12
|
25
|
28
|
19
|
19
|
46
|
19
|
7
|
1
|
0
|
0
|
| Jewelry, Instruments |
0
|
0
|
0
|
1
|
2
|
5
|
6
|
8
|
19
|
12
|
3
|
1
|
4
|
1
|
| Building |
0
|
0
|
0
|
0
|
0
|
0
|
1
|
0
|
2
|
3
|
2
|
3
|
0
|
1
|
| Wood, Furniture |
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
1
|
1
|
1
|
0
|
| Brick, Cement |
0
|
1
|
1
|
4
|
0
|
6
|
1
|
2
|
3
|
4
|
3
|
2
|
2
|
0
|
| Chemicals |
1
|
1
|
32
|
58
|
80
|
94
|
110
|
109
|
239
|
83
|
27
|
21
|
12
|
3
|
| Skins, Leather |
0
|
0
|
0
|
6
|
3
|
14
|
17
|
18
|
22
|
17
|
5
|
0
|
0
|
0
|
| Paper, Prints |
0
|
0
|
0
|
1
|
0
|
0
|
0
|
0
|
1
|
0
|
1
|
0
|
0
|
0
|
| Textile Fabrics |
0
|
0
|
4
|
7
|
6
|
5
|
10
|
7
|
25
|
19
|
14
|
10
|
2
|
0
|
| Dress |
0
|
1
|
9
|
10
|
16
|
24
|
19
|
23
|
69
|
50
|
17
|
10
|
9
|
0
|
| Food, Drink |
0
|
1
|
29
|
64
|
89
|
48
|
65
|
58
|
206
|
159
|
94
|
54
|
19
|
7
|
| Gas, Water |
0
|
0
|
17
|
25
|
44
|
47
|
46
|
45
|
179
|
170
|
143
|
144
|
82
|
44
|
| Other & Undefined | ||||||||||||||
| Unoccupied |
1
|
0
|
4
|
5
|
12
|
12
|
7
|
11
|
47
|
31
|
32
|
21
|
18
|
8
|
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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.