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 13 Show data context 179 Show data context 200 Show data context 131 Show data context 108 Show data context 94 Show data context 81 Show data context 654 Show data context 1,866 Show data context 1,803 Show data context 1,257 Show data context 423 Show data context 113 Show data context
Defence 1 Show data context 1 Show data context 159 Show data context 387 Show data context 560 Show data context 1,004 Show data context 3,649 Show data context 5,879 Show data context 20,778 Show data context 18,874 Show data context 6,294 Show data context 1,045 Show data context 598 Show data context 568 Show data context
Professional Occupations 10 Show data context 15 Show data context 73 Show data context 121 Show data context 139 Show data context 139 Show data context 152 Show data context 141 Show data context 839 Show data context 2,112 Show data context 1,972 Show data context 1,633 Show data context 910 Show data context 554 Show data context
Domestic Services 11 Show data context 41 Show data context 327 Show data context 419 Show data context 447 Show data context 470 Show data context 438 Show data context 453 Show data context 2,119 Show data context 3,776 Show data context 3,026 Show data context 2,183 Show data context 1,153 Show data context 576 Show data context
Commercial Occupations 0 Show data context 8 Show data context 77 Show data context 191 Show data context 216 Show data context 292 Show data context 270 Show data context 272 Show data context 1,329 Show data context 2,485 Show data context 1,811 Show data context 1,291 Show data context 674 Show data context 267 Show data context
Transport 101 Show data context 253 Show data context 1,448 Show data context 1,468 Show data context 1,202 Show data context 931 Show data context 799 Show data context 706 Show data context 3,795 Show data context 8,744 Show data context 7,256 Show data context 5,152 Show data context 2,652 Show data context 797 Show data context
Agriculture 12 Show data context 78 Show data context 599 Show data context 782 Show data context 909 Show data context 860 Show data context 770 Show data context 731 Show data context 3,074 Show data context 5,299 Show data context 5,156 Show data context 5,052 Show data context 3,727 Show data context 2,811 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 0 Show data context 7 Show data context 8 Show data context 14 Show data context 12 Show data context 14 Show data context 5 Show data context 55 Show data context 223 Show data context 223 Show data context 160 Show data context 101 Show data context 64 Show data context
Jewelry, Instruments 0 Show data context 10 Show data context 209 Show data context 501 Show data context 741 Show data context 766 Show data context 791 Show data context 807 Show data context 4,391 Show data context 7,462 Show data context 5,821 Show data context 4,324 Show data context 2,261 Show data context 554 Show data context
Building 0 Show data context 0 Show data context 15 Show data context 24 Show data context 37 Show data context 44 Show data context 44 Show data context 45 Show data context 187 Show data context 335 Show data context 282 Show data context 208 Show data context 106 Show data context 60 Show data context
Wood, Furniture 0 Show data context 3 Show data context 134 Show data context 263 Show data context 375 Show data context 389 Show data context 460 Show data context 456 Show data context 2,658 Show data context 6,673 Show data context 5,414 Show data context 4,503 Show data context 2,653 Show data context 1,144 Show data context
Brick, Cement 1 Show data context 3 Show data context 45 Show data context 85 Show data context 95 Show data context 111 Show data context 109 Show data context 98 Show data context 503 Show data context 1,025 Show data context 904 Show data context 717 Show data context 445 Show data context 253 Show data context
Chemicals 0 Show data context 0 Show data context 17 Show data context 24 Show data context 30 Show data context 25 Show data context 32 Show data context 25 Show data context 166 Show data context 360 Show data context 298 Show data context 222 Show data context 128 Show data context 64 Show data context
Skins, Leather 0 Show data context 0 Show data context 8 Show data context 21 Show data context 31 Show data context 28 Show data context 33 Show data context 24 Show data context 133 Show data context 258 Show data context 254 Show data context 165 Show data context 104 Show data context 49 Show data context
Paper, Prints 0 Show data context 0 Show data context 10 Show data context 11 Show data context 23 Show data context 16 Show data context 25 Show data context 18 Show data context 82 Show data context 173 Show data context 216 Show data context 168 Show data context 97 Show data context 69 Show data context
Textile Fabrics 3 Show data context 11 Show data context 90 Show data context 102 Show data context 109 Show data context 121 Show data context 121 Show data context 112 Show data context 352 Show data context 628 Show data context 485 Show data context 378 Show data context 163 Show data context 68 Show data context
Dress 0 Show data context 3 Show data context 16 Show data context 33 Show data context 47 Show data context 38 Show data context 53 Show data context 40 Show data context 222 Show data context 368 Show data context 325 Show data context 231 Show data context 149 Show data context 74 Show data context
Food, Drink 4 Show data context 16 Show data context 142 Show data context 183 Show data context 245 Show data context 206 Show data context 232 Show data context 220 Show data context 898 Show data context 1,746 Show data context 1,390 Show data context 994 Show data context 565 Show data context 417 Show data context
Gas, Water 1 Show data context 22 Show data context 305 Show data context 525 Show data context 676 Show data context 889 Show data context 811 Show data context 771 Show data context 3,218 Show data context 5,496 Show data context 4,793 Show data context 3,316 Show data context 1,843 Show data context 777 Show data context
Other and Undefined 0 Show data context 1 Show data context 3 Show data context 6 Show data context 20 Show data context 26 Show data context 31 Show data context 17 Show data context 153 Show data context 503 Show data context 572 Show data context 405 Show data context 185 Show data context 78 Show data context
Unoccupied 97 Show data context 97 Show data context 178 Show data context 264 Show data context 323 Show data context 349 Show data context 323 Show data context 332 Show data context 1,723 Show data context 3,967 Show data context 3,886 Show data context 3,298 Show data context 2,003 Show data context 972 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 3 Show data context 9 Show data context 25 Show data context 42 Show data context 59 Show data context 58 Show data context 272 Show data context 374 Show data context 197 Show data context 107 Show data context 51 Show data context 29 Show data context
Defence
Professional Occupations 3 Show data context 3 Show data context 19 Show data context 46 Show data context 75 Show data context 143 Show data context 227 Show data context 219 Show data context 1,779 Show data context 2,960 Show data context 1,810 Show data context 1,218 Show data context 613 Show data context 228 Show data context
Domestic Services 5 Show data context 86 Show data context 1,107 Show data context 1,927 Show data context 2,542 Show data context 2,843 Show data context 2,978 Show data context 3,123 Show data context 13,092 Show data context 11,692 Show data context 6,062 Show data context 4,429 Show data context 2,441 Show data context 1,106 Show data context
Commercial Occupations 0 Show data context 0 Show data context 32 Show data context 81 Show data context 113 Show data context 150 Show data context 167 Show data context 147 Show data context 646 Show data context 479 Show data context 149 Show data context 69 Show data context 18 Show data context 11 Show data context
Transport 1 Show data context 2 Show data context 13 Show data context 14 Show data context 17 Show data context 26 Show data context 19 Show data context 28 Show data context 87 Show data context 66 Show data context 41 Show data context 33 Show data context 27 Show data context 20 Show data context
Agriculture 0 Show data context 0 Show data context 11 Show data context 33 Show data context 33 Show data context 25 Show data context 31 Show data context 36 Show data context 140 Show data context 171 Show data context 107 Show data context 106 Show data context 120 Show data context 104 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 0 Show data context 1 Show data context 1 Show data context 4 Show data context 5 Show data context 9 Show data context 6 Show data context 10 Show data context 3 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 3 Show data context 4 Show data context 6 Show data context 4 Show data context 9 Show data context 12 Show data context 28 Show data context 26 Show data context 26 Show data context 13 Show data context 16 Show data context 6 Show data context
Building 0 Show data context 0 Show data context 1 Show data context 8 Show data context 11 Show data context 8 Show data context 14 Show data context 9 Show data context 37 Show data context 43 Show data context 33 Show data context 22 Show data context 11 Show data context 15 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 0 Show data context 1 Show data context 1 Show data context 5 Show data context
Brick, Cement 0 Show data context 1 Show data context 9 Show data context 12 Show data context 16 Show data context 26 Show data context 18 Show data context 22 Show data context 87 Show data context 91 Show data context 66 Show data context 61 Show data context 46 Show data context 31 Show data context
Chemicals 0 Show data context 1 Show data context 2 Show data context 5 Show data context 5 Show data context 3 Show data context 2 Show data context 3 Show data context 20 Show data context 31 Show data context 17 Show data context 13 Show data context 4 Show data context 3 Show data context
Skins, Leather 0 Show data context 0 Show data context 12 Show data context 11 Show data context 13 Show data context 16 Show data context 18 Show data context 11 Show data context 35 Show data context 26 Show data context 20 Show data context 5 Show data context 6 Show data context 2 Show data context
Paper, Prints 0 Show data context 0 Show data context 2 Show data context 3 Show data context 3 Show data context 4 Show data context 2 Show data context 5 Show data context 14 Show data context 14 Show data context 11 Show data context 7 Show data context 9 Show data context 6 Show data context
Textile Fabrics 0 Show data context 2 Show data context 42 Show data context 79 Show data context 81 Show data context 95 Show data context 88 Show data context 67 Show data context 283 Show data context 207 Show data context 117 Show data context 83 Show data context 40 Show data context 21 Show data context
Dress 0 Show data context 2 Show data context 58 Show data context 124 Show data context 147 Show data context 156 Show data context 167 Show data context 169 Show data context 728 Show data context 657 Show data context 237 Show data context 151 Show data context 68 Show data context 34 Show data context
Food, Drink 3 Show data context 12 Show data context 494 Show data context 872 Show data context 1,014 Show data context 964 Show data context 902 Show data context 806 Show data context 3,495 Show data context 3,042 Show data context 1,754 Show data context 1,245 Show data context 696 Show data context 376 Show data context
Gas, Water 1 Show data context 6 Show data context 66 Show data context 142 Show data context 223 Show data context 206 Show data context 290 Show data context 267 Show data context 1,385 Show data context 1,912 Show data context 1,991 Show data context 2,053 Show data context 1,318 Show data context 669 Show data context
Other and Undefined
Unoccupied 0 Show data context 3 Show data context 39 Show data context 57 Show data context 65 Show data context 79 Show data context 63 Show data context 63 Show data context 281 Show data context 335 Show data context 326 Show data context 285 Show data context 189 Show data context 118 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, Hampshire AdmC 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/10134870/cube/OCC_ORD1911_AGESEX

Date accessed: 16th September 2019