1951 Census of England and Wales, Industry Tables (Laid before Parliament pursuant to Section 4 (1), Census Act, 1920), Table 3 : " Industries (Orders and Selected Units) and Status Aggregates. Occupied Males and Females aged 15 and over for Urban Areas with population of less than 50,000, RD, NT".

Show England Dep table Cumberland AdmC
INDUSTRY Males.
[1]
Females.
[2]
TOTAL - ALL INDUSTRIES 92,357 Show data context 33,382 Show data context
Married women (included in Total) 0 Show data context 10,656 Show data context
Employers 4,210 Show data context 503 Show data context
Managers 3,049 Show data context 907 Show data context
Operatives 78,479 Show data context 30,300 Show data context
Working on own account 6,619 Show data context 1,672 Show data context
I. Agriculture, forestry, fishing 12,264 Show data context 1,627 Show data context
     1. Agriculture and horticulture 11,677 Show data context 1,608 Show data context
II. Mining and quarrying 8,451 Show data context 240 Show data context
     10. Coal mining 6,458 Show data context 227 Show data context
     11-19. Other mining and quarrying 1,993 Show data context 13 Show data context
III. Ceramics, glass, cement, etc. 793 Show data context 41 Show data context
     20. Bricks and fireclay goods 228 Show data context 13 Show data context
     24. Cement 8 Show data context 1 Show data context
IV. Chemicals and allied trades 3,161 Show data context 286 Show data context
     30,31,33. Coke ovens, chemicals and explosives 2,730 Show data context 189 Show data context
V. Metal manufacture 4,456 Show data context 298 Show data context
VI. Engineering, shipbuilding and electrical goods 3,844 Show data context 447 Show data context
     50,51. Shipbuilding, marine engineering 52 Show data context 2 Show data context
     54. Machine tools and engineers' small tools 6 Show data context 4 Show data context
     56. Textile machinery and accessories 65 Show data context 23 Show data context
     58. Constructional engineering 806 Show data context 15 Show data context
     52,53,55,57,69. Other mechanical engineering 2,560 Show data context 251 Show data context
     70. Electrical machinery 17 Show data context 0 Show data context
     73,74. Wireless apparatus, valves and lamps 41 Show data context 0 Show data context
     71,72,75,79. Other electrical engineering 297 Show data context 152 Show data context
VII. Vehicles 5,713 Show data context 545 Show data context
     80. Manufacture of motor vehicles and cycles 156 Show data context 8 Show data context
     81. Motor repairers and garages 1,597 Show data context 155 Show data context
     82,83. Manufacture of aircraft; vehicle parts 3,365 Show data context 378 Show data context
VIII. Metal goods not elsewhere specified 711 Show data context 807 Show data context
IX. Precision instruments, jewellery, etc. 152 Show data context 71 Show data context
X. Textiles 1,833 Show data context 2,423 Show data context
     110. Cotton spinning, doubling, etc. 147 Show data context 159 Show data context
     111. Cotton weaving, etc. 16 Show data context 35 Show data context
     112. Woollen and worsted 353 Show data context 791 Show data context
     113,114. Rayon, etc. production, weaving; silk 577 Show data context 804 Show data context
     118. Hosiery, and other knitted goods 120 Show data context 322 Show data context
     123. Textile finishing, etc. 494 Show data context 189 Show data context
XI. Leather, leather goods and fur 630 Show data context 266 Show data context
XII. Clothing 976 Show data context 2,854 Show data context
     140. Tailoring 282 Show data context 1,011 Show data context
     141. Dressmaking 31 Show data context 644 Show data context
     148,149. Boot and shoe making and repairing 564 Show data context 426 Show data context
XIII. Food, drink and tobacco 2,446 Show data context 2,678 Show data context
     150-162. Food 1,981 Show data context 2,514 Show data context
     163-168. Drink 454 Show data context 164 Show data context
XIV. Manufactures of wood and cork 1,290 Show data context 126 Show data context
     170. Timber 427 Show data context 25 Show data context
     171. Furniture and upholstery 316 Show data context 88 Show data context
XV. Paper and printing 1,055 Show data context 504 Show data context
     180. Paper and board 383 Show data context 97 Show data context
     186,189. Printing and publishing 555 Show data context 216 Show data context
XVI. Other manufacturing industries 622 Show data context 476 Show data context
XVII. Building and contracting 9,641 Show data context 219 Show data context
XVIII. Gas, electricity and water 1,824 Show data context 130 Show data context
     210. Gas 524 Show data context 43 Show data context
     211. Electricity 1,165 Show data context 86 Show data context
     212. Water 135 Show data context 1 Show data context
XIX. Transport and communication 9,099 Show data context 903 Show data context
     220. Railways 5,042 Show data context 123 Show data context
     221,222. Road passenger transport 1,450 Show data context 204 Show data context
     223. Goods transport by road 941 Show data context 46 Show data context
     224-226. Sea transport, port service, etc. 492 Show data context 8 Show data context
     228. Postal, telegraph, wireless communication 1,101 Show data context 507 Show data context
XX. Distributive trades 6,992 Show data context 5,587 Show data context
     240. Dealing In coal, builders' materials, etc. 964 Show data context 167 Show data context
     241. Dealing in other Industrial materials 301 Show data context 25 Show data context
     242. Wholesale distribution of food and drink 474 Show data context 200 Show data context
     243. Retail distribution of food and drink 2,170 Show data context 1,721 Show data context
     244. Wholesale distribution of non-food goods 589 Show data context 151 Show data context
     245. Retail distribution of non-food goods 2,304 Show data context 2,987 Show data context
     246. Retail sales of sweets, tobacco, papers 190 Show data context 336 Show data context
XXI. Insurance, banking and finance 1,143 Show data context 399 Show data context
XXII. Public administration and defence 9,514 Show data context 1,383 Show data context
     260. National government service 6,617 Show data context 883 Show data context
     265. Local government service 2,897 Show data context 500 Show data context
XXIII. Professional services 2,710 Show data context 3,945 Show data context
     271. Education 1,055 Show data context 1,779 Show data context
     273. Medical and dental services 709 Show data context 1,724 Show data context
XXIV. Miscellaneous services 2,986 Show data context 7,096 Show data context
     280,281. Entertainment and sport 516 Show data context 260 Show data context
     285. Catering, hotels, etc. 1,330 Show data context 3,939 Show data context
     286. Laundries 182 Show data context 502 Show data context
     287. Dry cleaning. Job dyeing, etc. 18 Show data context 81 Show data context
     288. Hairdressing and manicure 185 Show data context 215 Show data context
     290,291. Private domestic service 454 Show data context 1,953 Show data context
Not stated and Ill-defined industry 51 Show data context 31 Show data context

Click on the triangles for all about a particular number.

Using data from this table, Vision of Britain can map the following rates for within Cumberland AdmC:

Rate Date
Agriculture 1951
Finance & Business Services 1951
Manufacturing 1951
Mining 1951
Public Services 1951

This website does not try to provide an exact replica of the original printed census tables, which often had thousands of rows and far more columns than will fit on our web pages. Instead, we let you drill down from national totals to the most detailed data available. The column headings are those that appeared in the original printed report. The numbers presented here, which are the same ones we use to create statistical maps and graphs, come from the census table and have usually been carefully checked.

The system can only hold statistics for units listed in our administrative gazetteer, so some rows from the original table may be missing. Sometimes big low-level units, like urban parishes, were divided between more than one higher-level units, like Registration sub-Districts. This is why some pages will give a higher figure for a lower-level unit: it covers the whole of the lower-level unit, not just the part within the current higher-level unit.