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
|
16
|
20
|
8
|
8
|
10
|
10
|
76
|
127
|
125
|
69
|
20
|
8
|
| Defence |
0
|
0
|
0
|
0
|
0
|
0
|
0
|
1
|
13
|
10
|
6
|
1
|
0
|
0
|
| Professional Occupations |
1
|
0
|
1
|
9
|
24
|
20
|
19
|
24
|
145
|
240
|
148
|
106
|
43
|
22
|
| Domestic Services |
0
|
1
|
5
|
4
|
8
|
11
|
5
|
6
|
27
|
52
|
61
|
35
|
20
|
15
|
| Commercial Occupations |
0
|
0
|
13
|
39
|
54
|
69
|
69
|
72
|
271
|
466
|
258
|
203
|
88
|
36
|
| Transport |
14
|
23
|
279
|
240
|
161
|
121
|
91
|
118
|
752
|
1,618
|
1,262
|
802
|
460
|
135
|
| Agriculture |
0
|
0
|
3
|
1
|
3
|
6
|
4
|
4
|
19
|
30
|
29
|
19
|
23
|
22
|
| Mines & Quarries | ||||||||||||||
| Metals, Machines |
0
|
0
|
0
|
1
|
8
|
11
|
6
|
12
|
52
|
127
|
80
|
47
|
26
|
10
|
| Jewelry, Instruments |
0
|
2
|
85
|
235
|
298
|
376
|
417
|
468
|
2,037
|
4,137
|
3,430
|
2,202
|
1,130
|
376
|
| Building |
0
|
0
|
0
|
1
|
3
|
3
|
4
|
3
|
17
|
38
|
31
|
21
|
9
|
2
|
| Wood, Furniture |
0
|
0
|
14
|
46
|
51
|
63
|
47
|
47
|
310
|
728
|
481
|
359
|
238
|
77
|
| Brick, Cement |
0
|
0
|
1
|
9
|
12
|
12
|
8
|
10
|
58
|
138
|
70
|
60
|
32
|
19
|
| Chemicals |
0
|
0
|
4
|
12
|
8
|
6
|
5
|
9
|
43
|
55
|
43
|
34
|
16
|
2
|
| Skins, Leather |
0
|
0
|
2
|
4
|
4
|
10
|
8
|
12
|
44
|
79
|
90
|
47
|
29
|
5
|
| Paper, Prints |
0
|
0
|
0
|
0
|
2
|
0
|
1
|
1
|
4
|
11
|
8
|
5
|
1
|
2
|
| Textile Fabrics |
0
|
0
|
8
|
18
|
13
|
12
|
8
|
9
|
35
|
71
|
61
|
43
|
13
|
7
|
| Dress |
0
|
0
|
5
|
4
|
9
|
6
|
8
|
2
|
27
|
47
|
36
|
22
|
13
|
9
|
| Food, Drink |
2
|
9
|
19
|
24
|
29
|
23
|
31
|
19
|
119
|
215
|
138
|
74
|
51
|
36
|
| Gas, Water |
1
|
0
|
30
|
56
|
64
|
83
|
76
|
72
|
280
|
546
|
374
|
199
|
141
|
56
|
| Other & Undefined |
0
|
0
|
0
|
1
|
0
|
5
|
1
|
5
|
34
|
99
|
90
|
61
|
48
|
40
|
| Unoccupied |
16
|
20
|
24
|
36
|
56
|
61
|
61
|
63
|
248
|
598
|
528
|
358
|
219
|
92
|
| 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
|
4
|
6
|
3
|
31
|
35
|
22
|
16
|
1
|
2
|
| Defence | ||||||||||||||
| Professional Occupations |
0
|
0
|
2
|
3
|
6
|
25
|
25
|
37
|
182
|
253
|
111
|
73
|
33
|
16
|
| Domestic Services |
1
|
2
|
87
|
170
|
229
|
265
|
273
|
257
|
881
|
515
|
278
|
189
|
113
|
40
|
| Commercial Occupations |
0
|
0
|
2
|
11
|
17
|
14
|
20
|
16
|
80
|
54
|
18
|
10
|
2
|
2
|
| Transport |
0
|
0
|
0
|
0
|
5
|
2
|
3
|
3
|
10
|
8
|
1
|
2
|
4
|
3
|
| Agriculture |
0
|
0
|
0
|
0
|
0
|
1
|
1
|
1
|
1
|
2
|
6
|
5
|
2
|
1
|
| Mines & Quarries | ||||||||||||||
| Metals, Machines |
0
|
0
|
0
|
0
|
0
|
0
|
0
|
0
|
1
|
0
|
0
|
2
|
0
|
0
|
| Jewelry, Instruments |
0
|
0
|
1
|
2
|
3
|
1
|
2
|
2
|
7
|
7
|
2
|
3
|
1
|
0
|
| Building |
0
|
0
|
0
|
0
|
0
|
2
|
0
|
2
|
4
|
4
|
1
|
1
|
1
|
1
|
| Wood, Furniture | ||||||||||||||
| Brick, Cement |
0
|
0
|
0
|
1
|
2
|
1
|
4
|
3
|
12
|
9
|
4
|
6
|
3
|
2
|
| Chemicals |
0
|
0
|
1
|
0
|
0
|
1
|
1
|
1
|
5
|
3
|
1
|
2
|
2
|
0
|
| Skins, Leather |
0
|
0
|
0
|
0
|
1
|
1
|
0
|
4
|
6
|
4
|
2
|
2
|
0
|
0
|
| Paper, Prints |
0
|
0
|
0
|
0
|
0
|
0
|
0
|
1
|
2
|
0
|
0
|
1
|
0
|
0
|
| Textile Fabrics |
0
|
0
|
0
|
6
|
7
|
14
|
14
|
13
|
38
|
25
|
15
|
7
|
4
|
1
|
| Dress |
0
|
0
|
9
|
16
|
16
|
23
|
22
|
24
|
75
|
49
|
29
|
10
|
6
|
2
|
| Food, Drink |
0
|
0
|
39
|
62
|
84
|
92
|
95
|
71
|
291
|
228
|
115
|
70
|
39
|
18
|
| Gas, Water |
0
|
0
|
16
|
17
|
33
|
30
|
52
|
40
|
206
|
232
|
202
|
156
|
96
|
39
|
| Other & Undefined | ||||||||||||||
| Unoccupied |
0
|
0
|
2
|
4
|
9
|
13
|
16
|
8
|
63
|
68
|
60
|
49
|
43
|
17
|
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This nCube holds the overall total of the three occupational categories. Note that in most cases in 1801 this exactly matches the total population, but there are some large exceptions.