Persons Aged over 10 by Sex, Age & 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 74 Show data context 106 Show data context 92 Show data context 69 Show data context 76 Show data context 74 Show data context 631 Show data context 1,456 Show data context 1,189 Show data context 647 Show data context 216 Show data context 77 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 8 Show data context 14 Show data context 28 Show data context 171 Show data context 226 Show data context 71 Show data context 21 Show data context 12 Show data context 34 Show data context
Professional Occupations 2 Show data context 2 Show data context 43 Show data context 78 Show data context 81 Show data context 102 Show data context 124 Show data context 104 Show data context 774 Show data context 1,682 Show data context 1,378 Show data context 1,107 Show data context 627 Show data context 272 Show data context
Domestic Services 0 Show data context 3 Show data context 28 Show data context 44 Show data context 55 Show data context 67 Show data context 70 Show data context 87 Show data context 407 Show data context 841 Show data context 657 Show data context 473 Show data context 301 Show data context 135 Show data context
Commercial Occupations 0 Show data context 1 Show data context 104 Show data context 283 Show data context 351 Show data context 416 Show data context 503 Show data context 439 Show data context 2,118 Show data context 3,086 Show data context 1,872 Show data context 1,317 Show data context 711 Show data context 297 Show data context
Transport 44 Show data context 59 Show data context 685 Show data context 823 Show data context 650 Show data context 506 Show data context 397 Show data context 365 Show data context 1,663 Show data context 4,047 Show data context 3,223 Show data context 2,142 Show data context 1,137 Show data context 359 Show data context
Agriculture 0 Show data context 0 Show data context 3 Show data context 2 Show data context 7 Show data context 6 Show data context 6 Show data context 6 Show data context 53 Show data context 115 Show data context 125 Show data context 120 Show data context 132 Show data context 83 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 2 Show data context 3 Show data context 3 Show data context 2 Show data context 4 Show data context 5 Show data context 20 Show data context 40 Show data context 52 Show data context 54 Show data context 33 Show data context 15 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 50 Show data context 96 Show data context 169 Show data context 207 Show data context 183 Show data context 202 Show data context 1,010 Show data context 1,861 Show data context 1,429 Show data context 955 Show data context 553 Show data context 203 Show data context
Building 0 Show data context 0 Show data context 15 Show data context 31 Show data context 30 Show data context 42 Show data context 44 Show data context 44 Show data context 203 Show data context 340 Show data context 281 Show data context 206 Show data context 133 Show data context 80 Show data context
Wood, Furniture 0 Show data context 0 Show data context 11 Show data context 38 Show data context 53 Show data context 77 Show data context 109 Show data context 95 Show data context 722 Show data context 2,253 Show data context 2,146 Show data context 2,066 Show data context 1,419 Show data context 567 Show data context
Brick, Cement 0 Show data context 0 Show data context 7 Show data context 19 Show data context 28 Show data context 42 Show data context 40 Show data context 45 Show data context 223 Show data context 606 Show data context 466 Show data context 416 Show data context 299 Show data context 154 Show data context
Chemicals 0 Show data context 1 Show data context 11 Show data context 24 Show data context 15 Show data context 29 Show data context 27 Show data context 24 Show data context 108 Show data context 275 Show data context 222 Show data context 186 Show data context 112 Show data context 29 Show data context
Skins, Leather 0 Show data context 0 Show data context 14 Show data context 28 Show data context 33 Show data context 33 Show data context 43 Show data context 31 Show data context 182 Show data context 310 Show data context 253 Show data context 154 Show data context 93 Show data context 40 Show data context
Paper, Prints 0 Show data context 0 Show data context 4 Show data context 8 Show data context 7 Show data context 16 Show data context 12 Show data context 20 Show data context 60 Show data context 160 Show data context 128 Show data context 103 Show data context 61 Show data context 37 Show data context
Textile Fabrics 1 Show data context 0 Show data context 93 Show data context 152 Show data context 148 Show data context 164 Show data context 156 Show data context 154 Show data context 784 Show data context 1,323 Show data context 1,220 Show data context 816 Show data context 424 Show data context 149 Show data context
Dress 0 Show data context 0 Show data context 6 Show data context 19 Show data context 36 Show data context 47 Show data context 35 Show data context 45 Show data context 207 Show data context 356 Show data context 236 Show data context 156 Show data context 105 Show data context 58 Show data context
Food, Drink 0 Show data context 3 Show data context 29 Show data context 74 Show data context 78 Show data context 79 Show data context 82 Show data context 78 Show data context 452 Show data context 826 Show data context 692 Show data context 503 Show data context 303 Show data context 187 Show data context
Gas, Water 0 Show data context 2 Show data context 87 Show data context 162 Show data context 250 Show data context 280 Show data context 369 Show data context 436 Show data context 1,838 Show data context 3,375 Show data context 2,617 Show data context 1,609 Show data context 781 Show data context 282 Show data context
Other & Undefined 0 Show data context 0 Show data context 4 Show data context 5 Show data context 7 Show data context 15 Show data context 4 Show data context 13 Show data context 78 Show data context 273 Show data context 377 Show data context 239 Show data context 124 Show data context 25 Show data context
Unoccupied 42 Show data context 52 Show data context 33 Show data context 73 Show data context 84 Show data context 94 Show data context 110 Show data context 110 Show data context 533 Show data context 1,187 Show data context 1,170 Show data context 963 Show data context 518 Show data context 212 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 1 Show data context 6 Show data context 10 Show data context 38 Show data context 41 Show data context 188 Show data context 285 Show data context 171 Show data context 103 Show data context 34 Show data context 4 Show data context
Defence
Professional Occupations 4 Show data context 0 Show data context 19 Show data context 21 Show data context 48 Show data context 67 Show data context 101 Show data context 86 Show data context 826 Show data context 1,557 Show data context 850 Show data context 528 Show data context 275 Show data context 124 Show data context
Domestic Services 0 Show data context 6 Show data context 243 Show data context 525 Show data context 593 Show data context 649 Show data context 697 Show data context 746 Show data context 2,955 Show data context 3,290 Show data context 2,268 Show data context 1,941 Show data context 1,211 Show data context 504 Show data context
Commercial Occupations 0 Show data context 1 Show data context 24 Show data context 79 Show data context 127 Show data context 172 Show data context 220 Show data context 194 Show data context 927 Show data context 829 Show data context 274 Show data context 72 Show data context 21 Show data context 10 Show data context
Transport 0 Show data context 0 Show data context 26 Show data context 22 Show data context 39 Show data context 25 Show data context 23 Show data context 21 Show data context 85 Show data context 75 Show data context 21 Show data context 13 Show data context 9 Show data context 8 Show data context
Agriculture 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 3 Show data context 1 Show data context 0 Show data context 2 Show data context 0 Show data context 0 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 1 Show data context 0 Show data context 1 Show data context 0 Show data context 2 Show data context 0 Show data context 2 Show data context 4 Show data context 2 Show data context 3 Show data context 1 Show data context 0 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 8 Show data context 22 Show data context 18 Show data context 20 Show data context 18 Show data context 15 Show data context 70 Show data context 59 Show data context 24 Show data context 7 Show data context 5 Show data context 0 Show data context
Building 0 Show data context 0 Show data context 4 Show data context 8 Show data context 8 Show data context 7 Show data context 6 Show data context 10 Show data context 42 Show data context 46 Show data context 24 Show data context 10 Show data context 11 Show data context 3 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 0 Show data context 2 Show data context
Brick, Cement 0 Show data context 0 Show data context 5 Show data context 9 Show data context 13 Show data context 24 Show data context 17 Show data context 18 Show data context 65 Show data context 52 Show data context 46 Show data context 35 Show data context 30 Show data context 12 Show data context
Chemicals 0 Show data context 0 Show data context 1 Show data context 8 Show data context 3 Show data context 3 Show data context 2 Show data context 3 Show data context 15 Show data context 20 Show data context 13 Show data context 4 Show data context 2 Show data context 1 Show data context
Skins, Leather 0 Show data context 0 Show data context 5 Show data context 19 Show data context 21 Show data context 26 Show data context 18 Show data context 28 Show data context 97 Show data context 73 Show data context 29 Show data context 16 Show data context 15 Show data context 2 Show data context
Paper, Prints 0 Show data context 0 Show data context 12 Show data context 20 Show data context 15 Show data context 19 Show data context 17 Show data context 13 Show data context 57 Show data context 51 Show data context 32 Show data context 31 Show data context 12 Show data context 8 Show data context
Textile Fabrics 0 Show data context 1 Show data context 97 Show data context 159 Show data context 149 Show data context 146 Show data context 166 Show data context 162 Show data context 577 Show data context 439 Show data context 227 Show data context 152 Show data context 67 Show data context 8 Show data context
Dress 1 Show data context 1 Show data context 36 Show data context 49 Show data context 59 Show data context 71 Show data context 62 Show data context 67 Show data context 301 Show data context 350 Show data context 128 Show data context 91 Show data context 32 Show data context 19 Show data context
Food, Drink 1 Show data context 3 Show data context 222 Show data context 406 Show data context 507 Show data context 457 Show data context 476 Show data context 462 Show data context 1,889 Show data context 1,811 Show data context 1,156 Show data context 891 Show data context 538 Show data context 323 Show data context
Gas, Water 0 Show data context 0 Show data context 58 Show data context 109 Show data context 124 Show data context 192 Show data context 251 Show data context 238 Show data context 1,205 Show data context 1,234 Show data context 762 Show data context 560 Show data context 305 Show data context 137 Show data context
Other & 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 1 Show data context 0 Show data context 0 Show data context 0 Show data context 1 Show data context 0 Show data context
Unoccupied 0 Show data context 1 Show data context 24 Show data context 33 Show data context 53 Show data context 46 Show data context 57 Show data context 45 Show data context 189 Show data context 181 Show data context 132 Show data context 99 Show data context 49 Show data context 35 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, Lambeth MetB through time | Industry Statistics | Persons Aged over 10 by Sex, Age & 1911 Occupational Order, A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10135564/cube/OCC_ORD1911_AGESEX

Date accessed: 28th April 2024