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 2 Show data context 19 Show data context 77 Show data context 58 Show data context 48 Show data context 38 Show data context 32 Show data context 42 Show data context 254 Show data context 680 Show data context 724 Show data context 455 Show data context 175 Show data context 90 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 3 Show data context 0 Show data context 44 Show data context 48 Show data context 20 Show data context 70 Show data context 152 Show data context 112 Show data context 77 Show data context 91 Show data context 128 Show data context
Professional Occupations 0 Show data context 8 Show data context 36 Show data context 63 Show data context 71 Show data context 83 Show data context 95 Show data context 106 Show data context 467 Show data context 1,061 Show data context 1,030 Show data context 967 Show data context 625 Show data context 426 Show data context
Domestic Services 6 Show data context 62 Show data context 170 Show data context 193 Show data context 198 Show data context 221 Show data context 206 Show data context 208 Show data context 999 Show data context 1,663 Show data context 1,367 Show data context 1,061 Show data context 599 Show data context 289 Show data context
Commercial Occupations 0 Show data context 18 Show data context 57 Show data context 101 Show data context 135 Show data context 153 Show data context 167 Show data context 139 Show data context 722 Show data context 1,370 Show data context 1,057 Show data context 672 Show data context 378 Show data context 156 Show data context
Transport 100 Show data context 397 Show data context 619 Show data context 540 Show data context 439 Show data context 361 Show data context 307 Show data context 345 Show data context 1,537 Show data context 3,136 Show data context 2,462 Show data context 1,780 Show data context 1,059 Show data context 384 Show data context
Agriculture 24 Show data context 383 Show data context 833 Show data context 1,004 Show data context 1,080 Show data context 982 Show data context 899 Show data context 869 Show data context 3,614 Show data context 5,758 Show data context 5,705 Show data context 5,304 Show data context 4,010 Show data context 2,863 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 55 Show data context 185 Show data context 265 Show data context 251 Show data context 259 Show data context 249 Show data context 264 Show data context 1,237 Show data context 1,906 Show data context 1,510 Show data context 1,112 Show data context 592 Show data context 248 Show data context
Jewelry, Instruments 0 Show data context 27 Show data context 109 Show data context 183 Show data context 262 Show data context 255 Show data context 265 Show data context 235 Show data context 1,101 Show data context 1,768 Show data context 1,313 Show data context 1,010 Show data context 653 Show data context 322 Show data context
Building 1 Show data context 2 Show data context 12 Show data context 15 Show data context 24 Show data context 24 Show data context 26 Show data context 18 Show data context 80 Show data context 189 Show data context 152 Show data context 109 Show data context 58 Show data context 46 Show data context
Wood, Furniture 1 Show data context 37 Show data context 117 Show data context 186 Show data context 215 Show data context 251 Show data context 277 Show data context 270 Show data context 1,590 Show data context 3,455 Show data context 2,825 Show data context 2,620 Show data context 1,624 Show data context 839 Show data context
Brick, Cement 0 Show data context 22 Show data context 64 Show data context 76 Show data context 85 Show data context 83 Show data context 74 Show data context 88 Show data context 395 Show data context 779 Show data context 611 Show data context 473 Show data context 306 Show data context 183 Show data context
Chemicals 0 Show data context 2 Show data context 23 Show data context 32 Show data context 33 Show data context 43 Show data context 54 Show data context 42 Show data context 169 Show data context 314 Show data context 275 Show data context 189 Show data context 137 Show data context 99 Show data context
Skins, Leather 0 Show data context 1 Show data context 4 Show data context 8 Show data context 22 Show data context 27 Show data context 15 Show data context 18 Show data context 99 Show data context 180 Show data context 152 Show data context 98 Show data context 54 Show data context 21 Show data context
Paper, Prints 0 Show data context 3 Show data context 12 Show data context 25 Show data context 27 Show data context 33 Show data context 41 Show data context 32 Show data context 150 Show data context 281 Show data context 251 Show data context 172 Show data context 106 Show data context 74 Show data context
Textile Fabrics 1 Show data context 33 Show data context 106 Show data context 117 Show data context 126 Show data context 120 Show data context 106 Show data context 93 Show data context 360 Show data context 523 Show data context 432 Show data context 274 Show data context 166 Show data context 62 Show data context
Dress 15 Show data context 72 Show data context 111 Show data context 137 Show data context 139 Show data context 113 Show data context 118 Show data context 119 Show data context 373 Show data context 621 Show data context 506 Show data context 401 Show data context 265 Show data context 134 Show data context
Food, Drink 5 Show data context 88 Show data context 184 Show data context 199 Show data context 250 Show data context 243 Show data context 252 Show data context 193 Show data context 811 Show data context 1,460 Show data context 1,373 Show data context 930 Show data context 636 Show data context 438 Show data context
Gas, Water 3 Show data context 67 Show data context 201 Show data context 307 Show data context 378 Show data context 397 Show data context 388 Show data context 398 Show data context 1,571 Show data context 2,667 Show data context 2,432 Show data context 1,765 Show data context 1,092 Show data context 476 Show data context
Other & Undefined 0 Show data context 0 Show data context 6 Show data context 6 Show data context 13 Show data context 8 Show data context 12 Show data context 21 Show data context 51 Show data context 234 Show data context 257 Show data context 159 Show data context 60 Show data context 47 Show data context
Unoccupied 37 Show data context 70 Show data context 87 Show data context 107 Show data context 111 Show data context 154 Show data context 135 Show data context 166 Show data context 745 Show data context 1,464 Show data context 1,491 Show data context 1,262 Show data context 941 Show data context 626 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 1 Show data context 2 Show data context 12 Show data context 14 Show data context 16 Show data context 25 Show data context 25 Show data context 106 Show data context 169 Show data context 125 Show data context 93 Show data context 41 Show data context 18 Show data context
Defence
Professional Occupations 0 Show data context 4 Show data context 22 Show data context 42 Show data context 81 Show data context 101 Show data context 149 Show data context 162 Show data context 1,080 Show data context 1,672 Show data context 1,044 Show data context 726 Show data context 424 Show data context 208 Show data context
Domestic Services 20 Show data context 305 Show data context 891 Show data context 1,299 Show data context 1,512 Show data context 1,580 Show data context 1,720 Show data context 1,653 Show data context 7,100 Show data context 6,280 Show data context 3,433 Show data context 2,773 Show data context 1,837 Show data context 991 Show data context
Commercial Occupations 0 Show data context 3 Show data context 17 Show data context 28 Show data context 57 Show data context 50 Show data context 49 Show data context 61 Show data context 223 Show data context 173 Show data context 60 Show data context 29 Show data context 12 Show data context 7 Show data context
Transport 2 Show data context 14 Show data context 17 Show data context 11 Show data context 12 Show data context 7 Show data context 5 Show data context 3 Show data context 27 Show data context 21 Show data context 11 Show data context 12 Show data context 21 Show data context 9 Show data context
Agriculture 0 Show data context 15 Show data context 47 Show data context 84 Show data context 142 Show data context 145 Show data context 126 Show data context 151 Show data context 637 Show data context 672 Show data context 307 Show data context 236 Show data context 246 Show data context 199 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 0 Show data context 1 Show data context 1 Show data context 1 Show data context 1 Show data context 0 Show data context 3 Show data context 6 Show data context 9 Show data context 4 Show data context 5 Show data context 9 Show data context 3 Show data context
Jewelry, Instruments 0 Show data context 3 Show data context 4 Show data context 8 Show data context 6 Show data context 9 Show data context 13 Show data context 7 Show data context 41 Show data context 17 Show data context 10 Show data context 10 Show data context 6 Show data context 4 Show data context
Building 0 Show data context 0 Show data context 1 Show data context 3 Show data context 7 Show data context 3 Show data context 5 Show data context 6 Show data context 26 Show data context 24 Show data context 9 Show data context 6 Show data context 3 Show data context 4 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 1 Show data context 0 Show data context 1 Show data context 1 Show data context 4 Show data context 1 Show data context
Brick, Cement 0 Show data context 4 Show data context 8 Show data context 13 Show data context 18 Show data context 8 Show data context 8 Show data context 16 Show data context 60 Show data context 48 Show data context 40 Show data context 44 Show data context 27 Show data context 27 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 1 Show data context 1 Show data context 4 Show data context 5 Show data context 3 Show data context 10 Show data context 16 Show data context 12 Show data context 15 Show data context 11 Show data context 5 Show data context
Skins, Leather 0 Show data context 0 Show data context 2 Show data context 1 Show data context 6 Show data context 6 Show data context 4 Show data context 4 Show data context 12 Show data context 8 Show data context 12 Show data context 4 Show data context 4 Show data context 5 Show data context
Paper, Prints 1 Show data context 2 Show data context 11 Show data context 8 Show data context 7 Show data context 14 Show data context 18 Show data context 7 Show data context 39 Show data context 57 Show data context 39 Show data context 17 Show data context 24 Show data context 3 Show data context
Textile Fabrics 0 Show data context 15 Show data context 49 Show data context 60 Show data context 70 Show data context 90 Show data context 85 Show data context 80 Show data context 268 Show data context 234 Show data context 125 Show data context 78 Show data context 50 Show data context 19 Show data context
Dress 11 Show data context 65 Show data context 154 Show data context 203 Show data context 227 Show data context 238 Show data context 231 Show data context 221 Show data context 1,001 Show data context 846 Show data context 417 Show data context 281 Show data context 163 Show data context 69 Show data context
Food, Drink 5 Show data context 184 Show data context 557 Show data context 748 Show data context 836 Show data context 791 Show data context 755 Show data context 748 Show data context 2,946 Show data context 3,086 Show data context 1,866 Show data context 1,194 Show data context 781 Show data context 430 Show data context
Gas, Water 0 Show data context 11 Show data context 39 Show data context 67 Show data context 95 Show data context 118 Show data context 139 Show data context 124 Show data context 671 Show data context 951 Show data context 1,054 Show data context 1,034 Show data context 774 Show data context 474 Show data context
Other & Undefined
Unoccupied 0 Show data context 6 Show data context 23 Show data context 25 Show data context 28 Show data context 16 Show data context 30 Show data context 22 Show data context 128 Show data context 139 Show data context 126 Show data context 129 Show data context 90 Show data context 64 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, Somerset AdmC 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/10073900/cube/OCC_ORD1911_AGESEX

Date accessed: 25th April 2024