Persons Aged over 10 by Sex, Age and 1911 Occupational Order

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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 Show data context 0 Show data context 27 Show data context 31 Show data context 25 Show data context 27 Show data context 17 Show data context 22 Show data context 157 Show data context 361 Show data context 290 Show data context 181 Show data context 63 Show data context 9 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 3 Show data context 7 Show data context 3 Show data context 25 Show data context 41 Show data context 10 Show data context 6 Show data context 6 Show data context 7 Show data context
Professional Occupations 0 Show data context 0 Show data context 4 Show data context 15 Show data context 24 Show data context 19 Show data context 24 Show data context 33 Show data context 151 Show data context 266 Show data context 251 Show data context 203 Show data context 109 Show data context 53 Show data context
Domestic Services 0 Show data context 0 Show data context 5 Show data context 8 Show data context 5 Show data context 7 Show data context 12 Show data context 8 Show data context 46 Show data context 123 Show data context 107 Show data context 80 Show data context 52 Show data context 22 Show data context
Commercial Occupations 0 Show data context 1 Show data context 37 Show data context 104 Show data context 126 Show data context 150 Show data context 177 Show data context 149 Show data context 699 Show data context 937 Show data context 609 Show data context 361 Show data context 228 Show data context 112 Show data context
Transport 25 Show data context 29 Show data context 269 Show data context 292 Show data context 215 Show data context 149 Show data context 138 Show data context 146 Show data context 771 Show data context 2,175 Show data context 1,626 Show data context 1,182 Show data context 555 Show data context 169 Show data context
Agriculture 0 Show data context 0 Show data context 1 Show data context 0 Show data context 2 Show data context 0 Show data context 0 Show data context 1 Show data context 7 Show data context 21 Show data context 28 Show data context 31 Show data context 22 Show data context 17 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 0 Show data context 1 Show data context 2 Show data context 3 Show data context 2 Show data context 2 Show data context 3 Show data context 9 Show data context 42 Show data context 24 Show data context 24 Show data context 11 Show data context 11 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 54 Show data context 116 Show data context 146 Show data context 149 Show data context 135 Show data context 167 Show data context 716 Show data context 1,457 Show data context 963 Show data context 677 Show data context 430 Show data context 161 Show data context
Building 0 Show data context 0 Show data context 5 Show data context 10 Show data context 4 Show data context 12 Show data context 9 Show data context 14 Show data context 44 Show data context 68 Show data context 56 Show data context 51 Show data context 21 Show data context 9 Show data context
Wood, Furniture 0 Show data context 0 Show data context 7 Show data context 16 Show data context 17 Show data context 41 Show data context 41 Show data context 43 Show data context 252 Show data context 756 Show data context 672 Show data context 643 Show data context 370 Show data context 141 Show data context
Brick, Cement 0 Show data context 0 Show data context 10 Show data context 22 Show data context 24 Show data context 24 Show data context 23 Show data context 16 Show data context 103 Show data context 225 Show data context 190 Show data context 138 Show data context 94 Show data context 52 Show data context
Chemicals 0 Show data context 0 Show data context 2 Show data context 11 Show data context 17 Show data context 11 Show data context 3 Show data context 7 Show data context 26 Show data context 43 Show data context 43 Show data context 24 Show data context 9 Show data context 4 Show data context
Skins, Leather 0 Show data context 0 Show data context 6 Show data context 9 Show data context 14 Show data context 15 Show data context 9 Show data context 15 Show data context 67 Show data context 140 Show data context 103 Show data context 103 Show data context 47 Show data context 16 Show data context
Paper, Prints 0 Show data context 0 Show data context 6 Show data context 8 Show data context 9 Show data context 11 Show data context 8 Show data context 13 Show data context 41 Show data context 87 Show data context 113 Show data context 67 Show data context 54 Show data context 16 Show data context
Textile Fabrics 0 Show data context 1 Show data context 24 Show data context 35 Show data context 35 Show data context 40 Show data context 35 Show data context 19 Show data context 178 Show data context 282 Show data context 246 Show data context 154 Show data context 97 Show data context 33 Show data context
Dress 0 Show data context 0 Show data context 5 Show data context 10 Show data context 15 Show data context 13 Show data context 7 Show data context 9 Show data context 61 Show data context 96 Show data context 67 Show data context 53 Show data context 31 Show data context 16 Show data context
Food, Drink 0 Show data context 3 Show data context 16 Show data context 25 Show data context 28 Show data context 30 Show data context 28 Show data context 24 Show data context 117 Show data context 230 Show data context 201 Show data context 111 Show data context 90 Show data context 51 Show data context
Gas, Water 0 Show data context 3 Show data context 58 Show data context 89 Show data context 95 Show data context 101 Show data context 120 Show data context 112 Show data context 490 Show data context 818 Show data context 659 Show data context 469 Show data context 247 Show data context 93 Show data context
Other and Undefined 0 Show data context 0 Show data context 1 Show data context 5 Show data context 2 Show data context 4 Show data context 6 Show data context 5 Show data context 49 Show data context 165 Show data context 166 Show data context 107 Show data context 50 Show data context 14 Show data context
Unoccupied 10 Show data context 21 Show data context 25 Show data context 39 Show data context 66 Show data context 69 Show data context 77 Show data context 63 Show data context 310 Show data context 736 Show data context 626 Show data context 459 Show data context 260 Show data context 95 Show data context
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 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 9 Show data context 12 Show data context 17 Show data context 57 Show data context 82 Show data context 26 Show data context 16 Show data context 6 Show data context 0 Show data context
Defence
Professional Occupations 0 Show data context 0 Show data context 1 Show data context 4 Show data context 9 Show data context 10 Show data context 22 Show data context 14 Show data context 188 Show data context 417 Show data context 266 Show data context 201 Show data context 103 Show data context 44 Show data context
Domestic Services 0 Show data context 1 Show data context 119 Show data context 192 Show data context 246 Show data context 246 Show data context 259 Show data context 222 Show data context 977 Show data context 884 Show data context 545 Show data context 487 Show data context 257 Show data context 114 Show data context
Commercial Occupations 0 Show data context 0 Show data context 7 Show data context 35 Show data context 35 Show data context 71 Show data context 65 Show data context 82 Show data context 296 Show data context 259 Show data context 75 Show data context 18 Show data context 5 Show data context 3 Show data context
Transport 0 Show data context 0 Show data context 16 Show data context 10 Show data context 8 Show data context 12 Show data context 12 Show data context 9 Show data context 41 Show data context 32 Show data context 4 Show data context 10 Show data context 10 Show data context 4 Show data context
Agriculture 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 1 Show data context 4 Show data context 4 Show data context 8 Show data context 5 Show data context 1 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context 0 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 27 Show data context 48 Show data context 54 Show data context 52 Show data context 51 Show data context 57 Show data context 136 Show data context 86 Show data context 13 Show data context 1 Show data context 1 Show data context 1 Show data context
Building 0 Show data context 0 Show data context 4 Show data context 2 Show data context 2 Show data context 2 Show data context 1 Show data context 5 Show data context 16 Show data context 9 Show data context 5 Show data context 2 Show data context 3 Show data context 0 Show data context
Wood, Furniture 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 0 Show data context
Brick, Cement 0 Show data context 0 Show data context 1 Show data context 2 Show data context 6 Show data context 4 Show data context 6 Show data context 7 Show data context 18 Show data context 34 Show data context 26 Show data context 23 Show data context 17 Show data context 5 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 4 Show data context 2 Show data context 4 Show data context 12 Show data context 7 Show data context 2 Show data context 0 Show data context 2 Show data context 0 Show data context
Skins, Leather 0 Show data context 0 Show data context 3 Show data context 9 Show data context 10 Show data context 12 Show data context 8 Show data context 14 Show data context 52 Show data context 19 Show data context 14 Show data context 8 Show data context 1 Show data context 0 Show data context
Paper, Prints 0 Show data context 0 Show data context 6 Show data context 14 Show data context 5 Show data context 11 Show data context 2 Show data context 7 Show data context 29 Show data context 21 Show data context 5 Show data context 6 Show data context 6 Show data context 3 Show data context
Textile Fabrics 0 Show data context 0 Show data context 14 Show data context 30 Show data context 33 Show data context 40 Show data context 39 Show data context 34 Show data context 132 Show data context 97 Show data context 30 Show data context 16 Show data context 10 Show data context 3 Show data context
Dress 0 Show data context 0 Show data context 13 Show data context 12 Show data context 29 Show data context 28 Show data context 28 Show data context 27 Show data context 127 Show data context 83 Show data context 41 Show data context 20 Show data context 10 Show data context 3 Show data context
Food, Drink 0 Show data context 1 Show data context 84 Show data context 95 Show data context 142 Show data context 153 Show data context 144 Show data context 134 Show data context 599 Show data context 565 Show data context 314 Show data context 258 Show data context 111 Show data context 78 Show data context
Gas, Water 0 Show data context 0 Show data context 41 Show data context 68 Show data context 91 Show data context 99 Show data context 114 Show data context 110 Show data context 468 Show data context 346 Show data context 195 Show data context 126 Show data context 70 Show data context 29 Show data context
Other and Undefined 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context
Unoccupied 0 Show data context 0 Show data context 9 Show data context 20 Show data context 19 Show data context 25 Show data context 25 Show data context 21 Show data context 78 Show data context 76 Show data context 63 Show data context 63 Show data context 25 Show data context 14 Show data context
nCube definition Click on the triangles for all about a particular number
Date: Source:
1911 1911 Census of England and Wales, Occupations Vol 2, Table 13 , 'Occupations (Condensed List) of Males and Females at ages 10 years and upwards; in England and Wales, the aggregates of Urban and Rural Districts respectively in England and Wales, Administrative Counties, County Boroughs, Metropolitan Boroughs, Urban Districts of which the population exceeded 50,000 persons, and the aggregates of Rural Districts in Administrative Counties, 1911'

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nCube definition


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'.

How to reference this page:

GB Historical GIS / University of Portsmouth, Deptford MetB through time | Industry Statistics | Persons Aged over 10 by Sex, Age and 1911 Occupational Order, A Vision of Britain through Time.

URL: http://www.visionofbritain.org.uk/unit/10061660/cube/OCC_ORD1911_AGESEX

Date accessed: 20th October 2021