No chart.

No chart.

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 10 Show data context 101 Show data context 90 Show data context 64 Show data context 49 Show data context 51 Show data context 71 Show data context 473 Show data context 1,026 Show data context 819 Show data context 475 Show data context 192 Show data context 62 Show data context
Defence 0 Show data context 0 Show data context 0 Show data context 0 Show data context 3 Show data context 102 Show data context 173 Show data context 115 Show data context 394 Show data context 434 Show data context 297 Show data context 56 Show data context 9 Show data context 15 Show data context
Professional Occupations 2 Show data context 11 Show data context 42 Show data context 55 Show data context 99 Show data context 130 Show data context 147 Show data context 112 Show data context 679 Show data context 1,618 Show data context 1,380 Show data context 942 Show data context 518 Show data context 242 Show data context
Domestic Services 0 Show data context 5 Show data context 43 Show data context 67 Show data context 87 Show data context 92 Show data context 93 Show data context 120 Show data context 592 Show data context 1,191 Show data context 964 Show data context 722 Show data context 465 Show data context 221 Show data context
Commercial Occupations 0 Show data context 7 Show data context 76 Show data context 200 Show data context 336 Show data context 419 Show data context 389 Show data context 362 Show data context 1,728 Show data context 3,160 Show data context 2,289 Show data context 1,466 Show data context 773 Show data context 312 Show data context
Transport 96 Show data context 207 Show data context 1,145 Show data context 1,025 Show data context 634 Show data context 555 Show data context 489 Show data context 493 Show data context 2,803 Show data context 6,200 Show data context 5,045 Show data context 3,357 Show data context 2,037 Show data context 671 Show data context
Agriculture 1 Show data context 34 Show data context 249 Show data context 362 Show data context 434 Show data context 395 Show data context 477 Show data context 430 Show data context 1,664 Show data context 2,734 Show data context 2,411 Show data context 2,180 Show data context 1,555 Show data context 1,184 Show data context
Mines & Quarries
Metals, Machines 0 Show data context 691 Show data context 1,587 Show data context 1,841 Show data context 1,921 Show data context 1,851 Show data context 1,837 Show data context 1,785 Show data context 7,963 Show data context 13,604 Show data context 10,271 Show data context 6,755 Show data context 3,869 Show data context 1,229 Show data context
Jewelry, Instruments 0 Show data context 20 Show data context 462 Show data context 895 Show data context 1,224 Show data context 1,263 Show data context 1,424 Show data context 1,413 Show data context 5,888 Show data context 10,390 Show data context 8,884 Show data context 5,928 Show data context 3,661 Show data context 1,303 Show data context
Building 0 Show data context 0 Show data context 18 Show data context 21 Show data context 29 Show data context 31 Show data context 26 Show data context 20 Show data context 121 Show data context 245 Show data context 181 Show data context 133 Show data context 68 Show data context 25 Show data context
Wood, Furniture 0 Show data context 9 Show data context 103 Show data context 177 Show data context 278 Show data context 301 Show data context 274 Show data context 294 Show data context 1,884 Show data context 4,231 Show data context 3,080 Show data context 2,485 Show data context 1,659 Show data context 655 Show data context
Brick, Cement 0 Show data context 1 Show data context 38 Show data context 74 Show data context 74 Show data context 90 Show data context 89 Show data context 91 Show data context 420 Show data context 821 Show data context 650 Show data context 480 Show data context 321 Show data context 138 Show data context
Chemicals 0 Show data context 11 Show data context 64 Show data context 58 Show data context 76 Show data context 62 Show data context 75 Show data context 56 Show data context 217 Show data context 430 Show data context 284 Show data context 213 Show data context 117 Show data context 51 Show data context
Skins, Leather 0 Show data context 0 Show data context 28 Show data context 30 Show data context 38 Show data context 42 Show data context 45 Show data context 39 Show data context 196 Show data context 530 Show data context 420 Show data context 280 Show data context 153 Show data context 68 Show data context
Paper, Prints 0 Show data context 0 Show data context 9 Show data context 11 Show data context 22 Show data context 12 Show data context 15 Show data context 19 Show data context 81 Show data context 183 Show data context 166 Show data context 138 Show data context 116 Show data context 51 Show data context
Textile Fabrics 0 Show data context 4 Show data context 31 Show data context 58 Show data context 66 Show data context 47 Show data context 63 Show data context 55 Show data context 246 Show data context 478 Show data context 406 Show data context 313 Show data context 149 Show data context 61 Show data context
Dress 0 Show data context 4 Show data context 33 Show data context 64 Show data context 79 Show data context 86 Show data context 79 Show data context 53 Show data context 270 Show data context 491 Show data context 373 Show data context 256 Show data context 185 Show data context 69 Show data context
Food, Drink 17 Show data context 21 Show data context 54 Show data context 92 Show data context 141 Show data context 142 Show data context 122 Show data context 128 Show data context 531 Show data context 1,159 Show data context 1,078 Show data context 748 Show data context 485 Show data context 326 Show data context
Gas, Water 0 Show data context 27 Show data context 197 Show data context 296 Show data context 408 Show data context 458 Show data context 439 Show data context 416 Show data context 1,831 Show data context 3,430 Show data context 2,682 Show data context 1,670 Show data context 926 Show data context 388 Show data context
Other & Undefined 0 Show data context 0 Show data context 7 Show data context 10 Show data context 13 Show data context 26 Show data context 21 Show data context 24 Show data context 188 Show data context 469 Show data context 496 Show data context 328 Show data context 194 Show data context 64 Show data context
Unoccupied 86 Show data context 80 Show data context 102 Show data context 129 Show data context 187 Show data context 196 Show data context 243 Show data context 250 Show data context 1,186 Show data context 2,565 Show data context 2,379 Show data context 1,703 Show data context 1,120 Show data context 551 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 8 Show data context 15 Show data context 21 Show data context 25 Show data context 34 Show data context 175 Show data context 239 Show data context 156 Show data context 55 Show data context 25 Show data context 17 Show data context
Defence
Professional Occupations 1 Show data context 0 Show data context 4 Show data context 17 Show data context 44 Show data context 125 Show data context 146 Show data context 176 Show data context 1,199 Show data context 1,846 Show data context 833 Show data context 433 Show data context 179 Show data context 45 Show data context
Domestic Services 5 Show data context 47 Show data context 474 Show data context 1,016 Show data context 1,427 Show data context 1,718 Show data context 1,894 Show data context 1,951 Show data context 7,325 Show data context 5,547 Show data context 2,757 Show data context 1,842 Show data context 947 Show data context 417 Show data context
Commercial Occupations 0 Show data context 0 Show data context 19 Show data context 74 Show data context 132 Show data context 171 Show data context 212 Show data context 229 Show data context 803 Show data context 553 Show data context 111 Show data context 45 Show data context 21 Show data context 5 Show data context
Transport 6 Show data context 5 Show data context 66 Show data context 54 Show data context 42 Show data context 28 Show data context 32 Show data context 21 Show data context 61 Show data context 74 Show data context 23 Show data context 19 Show data context 20 Show data context 10 Show data context
Agriculture 1 Show data context 7 Show data context 84 Show data context 133 Show data context 200 Show data context 186 Show data context 178 Show data context 169 Show data context 638 Show data context 672 Show data context 432 Show data context 334 Show data context 234 Show data context 175 Show data context
Mines & Quarries
Metals, Machines 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 3 Show data context 3 Show data context 7 Show data context 7 Show data context 6 Show data context 8 Show data context 2 Show data context
Jewelry, Instruments 0 Show data context 0 Show data context 16 Show data context 35 Show data context 66 Show data context 75 Show data context 80 Show data context 59 Show data context 228 Show data context 158 Show data context 49 Show data context 12 Show data context 8 Show data context 6 Show data context
Building 0 Show data context 0 Show data context 7 Show data context 14 Show data context 11 Show data context 11 Show data context 11 Show data context 9 Show data context 37 Show data context 29 Show data context 16 Show data context 4 Show data context 2 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 0 Show data context 0 Show data context 2 Show data context 4 Show data context 4 Show data context 2 Show data context
Brick, Cement 0 Show data context 0 Show data context 7 Show data context 12 Show data context 8 Show data context 18 Show data context 19 Show data context 13 Show data context 72 Show data context 53 Show data context 20 Show data context 25 Show data context 18 Show data context 6 Show data context
Chemicals 0 Show data context 0 Show data context 14 Show data context 38 Show data context 44 Show data context 61 Show data context 55 Show data context 61 Show data context 161 Show data context 86 Show data context 36 Show data context 20 Show data context 13 Show data context 7 Show data context
Skins, Leather 0 Show data context 0 Show data context 4 Show data context 10 Show data context 24 Show data context 23 Show data context 30 Show data context 27 Show data context 111 Show data context 77 Show data context 22 Show data context 9 Show data context 6 Show data context 4 Show data context
Paper, Prints 0 Show data context 0 Show data context 11 Show data context 13 Show data context 19 Show data context 28 Show data context 30 Show data context 30 Show data context 77 Show data context 59 Show data context 54 Show data context 26 Show data context 13 Show data context 4 Show data context
Textile Fabrics 1 Show data context 2 Show data context 28 Show data context 61 Show data context 57 Show data context 60 Show data context 72 Show data context 56 Show data context 229 Show data context 170 Show data context 74 Show data context 42 Show data context 17 Show data context 12 Show data context
Dress 0 Show data context 2 Show data context 30 Show data context 71 Show data context 111 Show data context 129 Show data context 122 Show data context 123 Show data context 509 Show data context 407 Show data context 150 Show data context 118 Show data context 55 Show data context 18 Show data context
Food, Drink 2 Show data context 8 Show data context 255 Show data context 488 Show data context 532 Show data context 575 Show data context 509 Show data context 472 Show data context 1,710 Show data context 1,621 Show data context 832 Show data context 499 Show data context 252 Show data context 155 Show data context
Gas, Water 1 Show data context 4 Show data context 77 Show data context 172 Show data context 245 Show data context 291 Show data context 318 Show data context 337 Show data context 1,416 Show data context 1,577 Show data context 1,277 Show data context 1,076 Show data context 789 Show data context 462 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 3 Show data context 1 Show data context 0 Show data context 0 Show data context 0 Show data context 0 Show data context
Unoccupied 1 Show data context 4 Show data context 44 Show data context 81 Show data context 93 Show data context 84 Show data context 112 Show data context 91 Show data context 360 Show data context 348 Show data context 296 Show data context 204 Show data context 193 Show data context 98 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'

This website exists to help people doing personal research projects on particular areas within a locality. So long as you are using our data for only a small number of units, you are not making money out of what you are doing, and you are not systematically re-publishing our data, you do not need to request permission from us, but you do need to acknowledge us as your source with the wording:

"This work is based on data provided through www.VisionofBritain.org.uk and uses historical material which is copyright of the Great Britain Historical GIS Project and the University of Portsmouth".

Where the above statement is included in a web page or similar online resource, the reference to "www.VisionofBritain.org.uk" must be a working hyperlink.

nCube definition



How to reference this page:

GB Historical GIS / University of Portsmouth, Northumberland AdmC through time | Statistics |, A Vision of Britain through Time.

URL: https://www.visionofbritain.org.uk/unit/10001183/cube/OCC_ORD1911_AGESEX

Date accessed: 18th April 2024