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
|
2
|
29
|
56
|
27
|
39
|
36
|
27
|
176
|
372
|
403
|
293
|
85
|
17
|
| Defence |
0
|
0
|
0
|
0
|
1
|
3
|
4
|
5
|
37
|
45
|
21
|
5
|
1
|
3
|
| Professional Occupations |
0
|
2
|
14
|
21
|
29
|
31
|
25
|
32
|
178
|
387
|
347
|
223
|
82
|
32
|
| Domestic Services |
0
|
1
|
3
|
10
|
13
|
22
|
11
|
12
|
60
|
125
|
124
|
92
|
52
|
21
|
| Commercial Occupations |
0
|
0
|
82
|
175
|
281
|
249
|
256
|
232
|
977
|
1,360
|
974
|
614
|
293
|
82
|
| Transport |
17
|
47
|
357
|
362
|
235
|
161
|
144
|
138
|
727
|
1,907
|
1,639
|
1,030
|
483
|
137
|
| Agriculture |
0
|
0
|
8
|
6
|
10
|
7
|
4
|
5
|
17
|
40
|
30
|
43
|
31
|
19
|
| Mines & Quarries | ||||||||||||||
| Metals, Machines |
0
|
0
|
0
|
1
|
2
|
3
|
1
|
1
|
8
|
20
|
26
|
18
|
18
|
8
|
| Jewelry, Instruments |
0
|
1
|
37
|
93
|
119
|
120
|
115
|
111
|
532
|
1,049
|
901
|
562
|
304
|
83
|
| Building |
0
|
0
|
10
|
11
|
9
|
10
|
14
|
11
|
44
|
130
|
114
|
63
|
27
|
17
|
| Wood, Furniture |
0
|
1
|
11
|
31
|
46
|
63
|
44
|
54
|
400
|
1,100
|
1,062
|
777
|
470
|
128
|
| Brick, Cement |
0
|
0
|
16
|
12
|
20
|
30
|
26
|
23
|
110
|
279
|
316
|
165
|
109
|
53
|
| Chemicals |
0
|
0
|
2
|
16
|
8
|
10
|
10
|
11
|
30
|
35
|
31
|
21
|
9
|
2
|
| Skins, Leather |
0
|
0
|
15
|
22
|
27
|
42
|
29
|
29
|
137
|
290
|
271
|
156
|
86
|
15
|
| Paper, Prints |
0
|
0
|
4
|
4
|
8
|
13
|
7
|
6
|
34
|
67
|
73
|
43
|
21
|
10
|
| Textile Fabrics |
0
|
4
|
38
|
47
|
68
|
56
|
56
|
47
|
245
|
484
|
498
|
262
|
128
|
29
|
| Dress |
0
|
0
|
6
|
20
|
17
|
18
|
22
|
18
|
91
|
130
|
144
|
89
|
34
|
12
|
| Food, Drink |
1
|
4
|
29
|
46
|
47
|
46
|
47
|
65
|
176
|
373
|
389
|
211
|
121
|
61
|
| Gas, Water |
0
|
1
|
58
|
122
|
142
|
152
|
125
|
141
|
548
|
984
|
887
|
511
|
233
|
66
|
| Other & Undefined |
0
|
0
|
0
|
3
|
12
|
17
|
21
|
23
|
96
|
280
|
329
|
316
|
171
|
22
|
| Unoccupied |
15
|
28
|
39
|
41
|
52
|
68
|
53
|
67
|
230
|
510
|
566
|
365
|
201
|
76
|
| 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
|
9
|
14
|
20
|
21
|
63
|
59
|
32
|
12
|
2
|
0
|
| Defence | ||||||||||||||
| Professional Occupations |
0
|
0
|
0
|
5
|
13
|
17
|
30
|
26
|
266
|
326
|
197
|
125
|
63
|
29
|
| Domestic Services |
0
|
1
|
110
|
184
|
232
|
236
|
200
|
208
|
648
|
516
|
376
|
302
|
149
|
46
|
| Commercial Occupations |
0
|
0
|
10
|
37
|
94
|
104
|
111
|
107
|
365
|
207
|
37
|
12
|
1
|
0
|
| Transport |
0
|
0
|
6
|
7
|
9
|
17
|
12
|
14
|
50
|
22
|
4
|
8
|
3
|
1
|
| Agriculture |
0
|
0
|
0
|
0
|
0
|
1
|
0
|
0
|
2
|
1
|
0
|
2
|
1
|
0
|
| Mines & Quarries | ||||||||||||||
| Metals, Machines |
0
|
0
|
0
|
0
|
0
|
0
|
0
|
2
|
2
|
0
|
0
|
0
|
0
|
0
|
| Jewelry, Instruments |
0
|
0
|
1
|
2
|
12
|
23
|
15
|
11
|
41
|
19
|
8
|
1
|
2
|
1
|
| Building |
0
|
0
|
1
|
2
|
9
|
6
|
1
|
5
|
21
|
17
|
5
|
7
|
2
|
0
|
| Wood, Furniture | ||||||||||||||
| Brick, Cement |
0
|
0
|
2
|
0
|
4
|
2
|
8
|
3
|
18
|
12
|
6
|
6
|
1
|
3
|
| Chemicals |
0
|
0
|
0
|
1
|
0
|
1
|
2
|
1
|
2
|
4
|
1
|
1
|
3
|
1
|
| Skins, Leather |
0
|
0
|
6
|
13
|
16
|
23
|
17
|
23
|
59
|
55
|
26
|
6
|
2
|
0
|
| Paper, Prints |
0
|
0
|
12
|
12
|
6
|
9
|
10
|
5
|
25
|
21
|
11
|
7
|
3
|
2
|
| Textile Fabrics |
0
|
0
|
24
|
33
|
38
|
44
|
39
|
35
|
168
|
129
|
42
|
16
|
2
|
5
|
| Dress |
0
|
0
|
20
|
31
|
47
|
46
|
43
|
31
|
155
|
117
|
56
|
28
|
4
|
4
|
| Food, Drink |
0
|
4
|
150
|
238
|
260
|
270
|
248
|
237
|
1,014
|
723
|
343
|
223
|
109
|
43
|
| Gas, Water |
0
|
0
|
37
|
51
|
70
|
79
|
111
|
107
|
433
|
362
|
212
|
108
|
44
|
16
|
| Other & Undefined | ||||||||||||||
| Unoccupied |
0
|
0
|
8
|
19
|
15
|
24
|
19
|
13
|
49
|
43
|
38
|
27
|
13
|
7
|
| nCube definition | Click on the triangles for all about a particular number |
This website exists to help people doing personal research projects on particular areas within a locality. So long as you are using our data for only a small number of units, you are not making money out of what you are doing, and you are not systematically re-publishing our data, you do not need to request permission from us, but you do need to acknowledge us as your source with the wording:
"This work is based on data provided through www.VisionofBritain.org.uk and uses historical material which is copyright of the Great Britain Historical GIS Project and the University of Portsmouth".
Where the above statement is included in a web page or similar online resource, the reference to "www.VisionofBritain.org.uk" must be a working hyperlink.
All males and females at ages 10 years and upwards, categorised by gender, by 14 age groups, and by 23 occupational 'Orders'. This is the information provided by the 1911 Census's Occupation Tables. The occupational categories include Order 23, 'Without Specified Occupations or Unoccupied'.