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
|
7
|
3
|
5
|
4
|
3
|
36
|
99
|
65
|
22
|
14
|
6
|
| Defence |
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
2
|
1
|
2
|
1
|
0
|
0
|
| Professional Occupations |
0
|
1
|
2
|
3
|
4
|
9
|
12
|
15
|
93
|
175
|
142
|
72
|
37
|
23
|
| Domestic Services |
0
|
0
|
1
|
1
|
2
|
0
|
1
|
1
|
14
|
40
|
38
|
22
|
20
|
6
|
| Commercial Occupations |
0
|
1
|
4
|
10
|
20
|
11
|
17
|
11
|
89
|
230
|
196
|
103
|
57
|
13
|
| Transport |
34
|
52
|
47
|
29
|
43
|
40
|
40
|
42
|
242
|
393
|
260
|
159
|
133
|
45
|
| Agriculture |
0
|
0
|
3
|
0
|
3
|
5
|
2
|
5
|
28
|
51
|
46
|
43
|
36
|
31
|
| Mines & Quarries | ||||||||||||||
| Metals, Machines |
0
|
286
|
425
|
469
|
514
|
505
|
492
|
456
|
2,326
|
4,116
|
3,312
|
1,814
|
887
|
270
|
| Jewelry, Instruments |
0
|
10
|
45
|
48
|
58
|
86
|
75
|
78
|
418
|
815
|
647
|
521
|
362
|
158
|
| Building |
0
|
2
|
4
|
1
|
2
|
4
|
1
|
1
|
17
|
24
|
19
|
8
|
4
|
5
|
| Wood, Furniture |
0
|
3
|
8
|
10
|
14
|
24
|
14
|
24
|
176
|
465
|
418
|
320
|
179
|
74
|
| Brick, Cement |
0
|
0
|
1
|
2
|
2
|
0
|
2
|
1
|
21
|
32
|
23
|
25
|
29
|
12
|
| Chemicals |
0
|
0
|
0
|
0
|
0
|
0
|
3
|
1
|
3
|
23
|
23
|
19
|
3
|
2
|
| Skins, Leather |
0
|
1
|
1
|
0
|
1
|
1
|
2
|
1
|
4
|
18
|
12
|
5
|
4
|
1
|
| Paper, Prints |
0
|
0
|
0
|
1
|
0
|
0
|
0
|
0
|
2
|
5
|
10
|
7
|
6
|
5
|
| Textile Fabrics |
0
|
0
|
2
|
3
|
0
|
2
|
1
|
1
|
9
|
29
|
34
|
17
|
13
|
1
|
| Dress |
0
|
1
|
5
|
0
|
3
|
4
|
9
|
4
|
29
|
45
|
23
|
11
|
16
|
9
|
| Food, Drink |
3
|
2
|
6
|
14
|
12
|
12
|
10
|
15
|
63
|
118
|
101
|
82
|
42
|
35
|
| Gas, Water |
2
|
14
|
28
|
39
|
44
|
32
|
41
|
42
|
197
|
400
|
365
|
176
|
70
|
41
|
| Other & Undefined |
0
|
0
|
0
|
1
|
0
|
2
|
3
|
1
|
16
|
37
|
17
|
29
|
25
|
8
|
| Unoccupied |
5
|
10
|
25
|
34
|
51
|
50
|
39
|
37
|
166
|
350
|
307
|
246
|
135
|
64
|
| 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
|
0
|
3
|
4
|
2
|
30
|
24
|
10
|
7
|
4
|
1
|
| Defence | ||||||||||||||
| Professional Occupations |
0
|
0
|
0
|
1
|
5
|
23
|
36
|
33
|
183
|
208
|
67
|
26
|
12
|
10
|
| Domestic Services |
1
|
21
|
64
|
106
|
158
|
148
|
204
|
156
|
528
|
280
|
165
|
117
|
54
|
37
|
| Commercial Occupations |
0
|
0
|
1
|
2
|
3
|
3
|
5
|
3
|
23
|
14
|
5
|
0
|
0
|
0
|
| Transport |
1
|
0
|
1
|
1
|
0
|
0
|
0
|
1
|
6
|
5
|
1
|
2
|
2
|
0
|
| Agriculture |
0
|
0
|
1
|
2
|
3
|
3
|
4
|
0
|
7
|
2
|
5
|
2
|
3
|
1
|
| Mines & Quarries | ||||||||||||||
| Metals, Machines |
0
|
0
|
1
|
0
|
0
|
3
|
2
|
1
|
3
|
1
|
0
|
4
|
0
|
2
|
| Jewelry, Instruments |
0
|
0
|
0
|
2
|
1
|
1
|
0
|
0
|
2
|
1
|
2
|
3
|
0
|
0
|
| Building |
0
|
0
|
0
|
0
|
0
|
0
|
0
|
1
|
1
|
0
|
2
|
1
|
0
|
0
|
| Wood, Furniture |
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
1
|
1
|
0
|
| Brick, Cement |
0
|
0
|
0
|
0
|
0
|
0
|
1
|
0
|
3
|
0
|
0
|
1
|
0
|
1
|
| Chemicals |
0
|
0
|
0
|
0
|
2
|
5
|
6
|
6
|
21
|
8
|
4
|
2
|
1
|
0
|
| Skins, Leather |
0
|
0
|
0
|
0
|
0
|
0
|
1
|
0
|
0
|
3
|
0
|
0
|
0
|
0
|
| Paper, Prints |
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
1
|
0
|
0
|
0
|
| Textile Fabrics |
0
|
0
|
2
|
0
|
3
|
2
|
5
|
5
|
15
|
9
|
6
|
4
|
4
|
1
|
| Dress |
0
|
1
|
3
|
9
|
19
|
18
|
28
|
18
|
40
|
46
|
19
|
6
|
8
|
1
|
| Food, Drink |
0
|
2
|
39
|
49
|
92
|
85
|
74
|
60
|
230
|
177
|
75
|
54
|
23
|
13
|
| Gas, Water |
0
|
3
|
3
|
12
|
11
|
21
|
29
|
26
|
92
|
140
|
140
|
110
|
64
|
50
|
| Other & Undefined | ||||||||||||||
| Unoccupied |
0
|
0
|
1
|
8
|
3
|
7
|
5
|
6
|
17
|
28
|
24
|
27
|
11
|
7
|
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This classification of industry is that used by the 2021 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.