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 38 Show data context 77 Show data context 85 Show data context 93 Show data context 84 Show data context 85 Show data context 642 Show data context 1,711 Show data context 1,546 Show data context 930 Show data context 318 Show data context 49 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 2 Show data context 0 Show data context 7 Show data context 10 Show data context 10 Show data context 72 Show data context 123 Show data context 104 Show data context 42 Show data context 53 Show data context 56 Show data context
Professional Occupations 1 Show data context 0 Show data context 30 Show data context 64 Show data context 63 Show data context 81 Show data context 103 Show data context 93 Show data context 632 Show data context 1,693 Show data context 1,664 Show data context 1,346 Show data context 632 Show data context 296 Show data context
Domestic Services 4 Show data context 2 Show data context 33 Show data context 63 Show data context 69 Show data context 70 Show data context 71 Show data context 65 Show data context 459 Show data context 911 Show data context 738 Show data context 583 Show data context 377 Show data context 138 Show data context
Commercial Occupations 0 Show data context 0 Show data context 101 Show data context 272 Show data context 427 Show data context 483 Show data context 507 Show data context 472 Show data context 2,251 Show data context 3,853 Show data context 2,988 Show data context 1,907 Show data context 984 Show data context 340 Show data context
Transport 59 Show data context 71 Show data context 527 Show data context 583 Show data context 447 Show data context 335 Show data context 248 Show data context 268 Show data context 1,130 Show data context 2,866 Show data context 2,356 Show data context 1,445 Show data context 642 Show data context 199 Show data context
Agriculture 0 Show data context 0 Show data context 3 Show data context 9 Show data context 12 Show data context 21 Show data context 9 Show data context 20 Show data context 88 Show data context 186 Show data context 210 Show data context 215 Show data context 187 Show data context 136 Show data context
Mines and Quarries
Metals, Machines 0 Show data context 0 Show data context 1 Show data context 2 Show data context 0 Show data context 1 Show data context 2 Show data context 1 Show data context 12 Show data context 38 Show data context 55 Show data context 51 Show data context 28 Show data context 12 Show data context
Jewelry, Instruments 0 Show data context 1 Show data context 47 Show data context 99 Show data context 146 Show data context 174 Show data context 159 Show data context 181 Show data context 993 Show data context 1,785 Show data context 1,309 Show data context 788 Show data context 405 Show data context 182 Show data context
Building 0 Show data context 0 Show data context 10 Show data context 30 Show data context 36 Show data context 34 Show data context 43 Show data context 42 Show data context 199 Show data context 451 Show data context 367 Show data context 249 Show data context 108 Show data context 53 Show data context
Wood, Furniture 0 Show data context 1 Show data context 27 Show data context 60 Show data context 67 Show data context 117 Show data context 114 Show data context 134 Show data context 920 Show data context 2,765 Show data context 2,653 Show data context 2,183 Show data context 1,261 Show data context 447 Show data context
Brick, Cement 0 Show data context 1 Show data context 14 Show data context 31 Show data context 36 Show data context 42 Show data context 40 Show data context 45 Show data context 235 Show data context 544 Show data context 507 Show data context 345 Show data context 237 Show data context 85 Show data context
Chemicals 0 Show data context 0 Show data context 4 Show data context 7 Show data context 9 Show data context 11 Show data context 9 Show data context 5 Show data context 28 Show data context 69 Show data context 94 Show data context 51 Show data context 33 Show data context 18 Show data context
Skins, Leather 0 Show data context 0 Show data context 13 Show data context 23 Show data context 32 Show data context 31 Show data context 46 Show data context 35 Show data context 193 Show data context 358 Show data context 312 Show data context 188 Show data context 119 Show data context 46 Show data context
Paper, Prints 0 Show data context 0 Show data context 2 Show data context 11 Show data context 8 Show data context 8 Show data context 19 Show data context 8 Show data context 69 Show data context 130 Show data context 135 Show data context 95 Show data context 62 Show data context 29 Show data context
Textile Fabrics 0 Show data context 0 Show data context 61 Show data context 84 Show data context 89 Show data context 89 Show data context 91 Show data context 58 Show data context 347 Show data context 874 Show data context 941 Show data context 639 Show data context 289 Show data context 103 Show data context
Dress 0 Show data context 0 Show data context 7 Show data context 27 Show data context 46 Show data context 44 Show data context 51 Show data context 51 Show data context 235 Show data context 385 Show data context 363 Show data context 238 Show data context 118 Show data context 35 Show data context
Food, Drink 0 Show data context 2 Show data context 33 Show data context 59 Show data context 73 Show data context 71 Show data context 87 Show data context 72 Show data context 342 Show data context 853 Show data context 804 Show data context 481 Show data context 292 Show data context 157 Show data context
Gas, Water 0 Show data context 2 Show data context 66 Show data context 186 Show data context 238 Show data context 256 Show data context 298 Show data context 258 Show data context 1,269 Show data context 2,570 Show data context 2,140 Show data context 1,258 Show data context 602 Show data context 215 Show data context
Other and Undefined 0 Show data context 0 Show data context 0 Show data context 3 Show data context 3 Show data context 9 Show data context 8 Show data context 15 Show data context 110 Show data context 317 Show data context 357 Show data context 222 Show data context 106 Show data context 28 Show data context
Unoccupied 48 Show data context 51 Show data context 55 Show data context 55 Show data context 77 Show data context 101 Show data context 83 Show data context 103 Show data context 474 Show data context 1,066 Show data context 957 Show data context 702 Show data context 394 Show data context 148 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 10 Show data context 18 Show data context 39 Show data context 53 Show data context 241 Show data context 292 Show data context 145 Show data context 79 Show data context 19 Show data context 2 Show data context
Defence
Professional Occupations 2 Show data context 2 Show data context 4 Show data context 10 Show data context 31 Show data context 58 Show data context 79 Show data context 85 Show data context 820 Show data context 1,745 Show data context 1,155 Show data context 728 Show data context 350 Show data context 121 Show data context
Domestic Services 2 Show data context 7 Show data context 339 Show data context 765 Show data context 944 Show data context 1,092 Show data context 1,213 Show data context 1,204 Show data context 5,715 Show data context 5,560 Show data context 2,993 Show data context 2,002 Show data context 1,149 Show data context 402 Show data context
Commercial Occupations 0 Show data context 0 Show data context 25 Show data context 71 Show data context 144 Show data context 164 Show data context 245 Show data context 235 Show data context 955 Show data context 918 Show data context 277 Show data context 70 Show data context 24 Show data context 7 Show data context
Transport 0 Show data context 1 Show data context 8 Show data context 3 Show data context 21 Show data context 20 Show data context 11 Show data context 11 Show data context 64 Show data context 70 Show data context 13 Show data context 12 Show data context 8 Show data context 5 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 4 Show data context 2 Show data context 1 Show data context 0 Show data context 0 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 0 Show data context 0 Show data context 0 Show data context 2 Show data context 1 Show data context 3 Show data context 1 Show data context 0 Show data context
Jewelry, Instruments 0 Show data context 1 Show data context 28 Show data context 70 Show data context 71 Show data context 82 Show data context 102 Show data context 84 Show data context 246 Show data context 112 Show data context 26 Show data context 5 Show data context 5 Show data context 1 Show data context
Building 0 Show data context 0 Show data context 5 Show data context 9 Show data context 12 Show data context 17 Show data context 16 Show data context 16 Show data context 45 Show data context 27 Show data context 15 Show data context 10 Show data context 7 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 0 Show data context 0 Show data context 1 Show data context
Brick, Cement 0 Show data context 0 Show data context 1 Show data context 10 Show data context 4 Show data context 12 Show data context 9 Show data context 8 Show data context 27 Show data context 41 Show data context 30 Show data context 26 Show data context 17 Show data context 7 Show data context
Chemicals 0 Show data context 0 Show data context 0 Show data context 2 Show data context 3 Show data context 5 Show data context 4 Show data context 2 Show data context 17 Show data context 17 Show data context 6 Show data context 2 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 5 Show data context 3 Show data context 12 Show data context 10 Show data context 8 Show data context 45 Show data context 31 Show data context 19 Show data context 10 Show data context 9 Show data context 3 Show data context
Paper, Prints 0 Show data context 0 Show data context 2 Show data context 2 Show data context 8 Show data context 4 Show data context 1 Show data context 0 Show data context 19 Show data context 17 Show data context 12 Show data context 9 Show data context 9 Show data context 2 Show data context
Textile Fabrics 0 Show data context 1 Show data context 41 Show data context 70 Show data context 68 Show data context 63 Show data context 72 Show data context 66 Show data context 218 Show data context 180 Show data context 106 Show data context 47 Show data context 22 Show data context 6 Show data context
Dress 0 Show data context 0 Show data context 31 Show data context 50 Show data context 69 Show data context 72 Show data context 92 Show data context 65 Show data context 390 Show data context 337 Show data context 160 Show data context 76 Show data context 29 Show data context 11 Show data context
Food, Drink 1 Show data context 2 Show data context 120 Show data context 233 Show data context 294 Show data context 318 Show data context 324 Show data context 268 Show data context 1,323 Show data context 1,413 Show data context 801 Show data context 543 Show data context 349 Show data context 144 Show data context
Gas, Water 0 Show data context 0 Show data context 39 Show data context 64 Show data context 86 Show data context 97 Show data context 115 Show data context 119 Show data context 604 Show data context 719 Show data context 550 Show data context 429 Show data context 243 Show data context 101 Show data context
Other and Undefined 0 Show data context 0 Show data context 0 Show data context 3 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 0 Show data context
Unoccupied 0 Show data context 1 Show data context 23 Show data context 23 Show data context 27 Show data context 35 Show data context 39 Show data context 36 Show data context 161 Show data context 144 Show data context 94 Show data context 67 Show data context 33 Show data context 15 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, Wandsworth 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/10135163/cube/OCC_ORD1911_AGESEX

Date accessed: 27th January 2023