1951 Census of England and Wales, Occupation Tables (Laid before Parliament pursuant to Section 4 (1), Census Act, 1920), Table 21 : " Selected Occupations with Status Aggregates - abridged analysis for Con divisions and sub-divisions, Urban Areas with population of less than 50,000, RD, NT".

List Lancashire AdmC Bury CB/MB  
Occupation Persons
[1]
MALES:
Total Population.
27,336 Show data context
Total Occupied Population aged 15 and over. 21,153 Show data context
Total occupied (orders I-XXVII). 18,740 Show data context
Retired. 2,413 Show data context
Employers. 364 Show data context
Managers. 834 Show data context
Operatives. 16,348 Show data context
Self-employed. 941 Show data context
Unemployed. 253 Show data context
I. Fishermen. 0 Show data context
II. Agricultural, etc. occupations. 256 Show data context
1. Agricultural and horticultural occupations. 251 Show data context
    010, 011 Farmers. 81 Show data context
    013, 014 Market gardeners, etc. and foremen. 7 Show data context
    015 Other gardeners. 96 Show data context
III. Mining and quarring occupations. 23 Show data context
    041-047 Workers below ground in coal mines. 8 Show data context
    049 Workers above ground in coal mines. 81 Show data context
IV. Workers in ceramics, glass, cement, etc. 38 Show data context
V. Coal gas, etc. makers, workers in chemicals. 200 Show data context
VI. Workers in metal manufacture, engineering. 2,631 Show data context
1. Foremen, overlookers. 134 Show data context
4. Foundry workers (excluding pattern makers). 221 Show data context
9. Metal machinists. 336 Show data context
10. Fitters, machine erectors. 956 Show data context
    184 Motor and motor cycle mechanics. 157 Show data context
12. Plumbers, pipe fitters, etc. 190 Show data context
16. Electrical apparatus makers, etc. (n.e.s.). 320 Show data context
VII. Textile workers. 2,087 Show data context
VIII. Leather workers, fur dressers. 455 Show data context
2. Boot and Shoe makers. 352 Show data context
IX. Makers of textile goods and articles of dress. 159 Show data context
1. Garment workers. 39 Show data context
    383 Tailors. 12 Show data context
X. Makers of foods, drinks and tobacco. 184 Show data context
1. Makers of foods. 160 Show data context
XI. Workers wood, cane and cork. 665 Show data context
    472 Carpenters, joiners. 319 Show data context
XII. Makers of, workers in, paper; printers. 622 Show data context
3. Printers, bookbinders. 128 Show data context
XIII. Makers of products (n.e.s.). 95 Show data context
XIV. Workers in building and contracting. 807 Show data context
    583 Bricklayers. 160 Show data context
XV. Painters and decorators. 327 Show data context
XVI. Administrators, directors, managers (n.e.s.). 609 Show data context
    620-629 Managers in industrial undertakings. 396 Show data context
XVII. Persons employed in transport, etc. 1,491 Show data context
1. Railway transport workers. 325 Show data context
2. Road transport workers. 941 Show data context
    655-658 Powered passenger vehicle drivers. 173 Show data context
    659 Drivers of goods vehicles. 541 Show data context
3. Water transport workers. 21 Show data context
    681 Dock labourers. 1 Show data context
5. Other workers in communications, etc. 203 Show data context
    702 Postmen, post office sorters. 90 Show data context
XVIII. Commercial, finance, etc. (exc. Clerical). 1,527 Show data context
1. Commercial occupations. 1,390 Show data context
    710-711 Wholesalers, brokers, agents, etc. 113 Show data context
    715 Commercial travellers, canvassers. 137 Show data context
    720-729 Owners, etc. of retail businesses. 596 Show data context
    730-739 Salesmen, shop assistants. 357 Show data context
    741 Roundsmen, van salesmen. 54 Show data context
2. Persons employed in finance and insurance. 137 Show data context
XIX. Professional and technical (exc. Clerical). 884 Show data context
    780,785 Teachers. 125 Show data context
    786-792 Professional engineers, architects. 127 Show data context
    794,799 Industrial designers, draughtsmen. 189 Show data context
XX. Persons employed in defence services. 407 Show data context
1. Armed forces. 153 Show data context
XXI. Persons engaged in entertainments and sport. 86 Show data context
XXII. Persons engaged in personal service. 573 Show data context
    862-865 Owners, etc. of cafes, hotels, etc. 158 Show data context
XXIII. Clerks, typists, etc. 1,070 Show data context
    890-895 Costing, estimating, other clerks. 1,037 Show data context
    891,892 Typists, secretaries . 29 Show data context
XXIV. Warehousemen, storekeepers, packers, etc. 634 Show data context
901 Storekeepers. 150 Show data context
XXV. Stationary engine drivers, stokers, etc. 373 Show data context
XXVI. Workers in unskilled occupations (n.e.s.). 2,398 Show data context
XXVII. Other and undefined workers. 139 Show data context
XXVIII. Retired and not gainfully occupied. 2,413 Show data context
Y Retired. 1,783 Show data context


FEMALES:
Total Population.
31,502 Show data context
Total Occupied Population aged 15 and over. 25,594 Show data context
Total occupied (orders I-XXVII). 11,384 Show data context
Retired. 14,210 Show data context
Employers. 39 Show data context
Managers. 169 Show data context
Operatives. 10,575 Show data context
Self-employed. 440 Show data context
Unemployed. 161 Show data context
II. Agricultural, etc. occupations. 21 Show data context
1. Agricultural and horticultural occupations. 21 Show data context
VI. Workers in metal manufacture, engineering. 108 Show data context
16. Electrical apparatus makers, etc. (n.e.s.). 40 Show data context
VII. Textile workers. 3,239 Show data context
2. Spinners, doublers. 325 Show data context
3. Winders, warpers, sizers, drawers-in. 884 Show data context
4. Weavers. 1,089 Show data context
6. Bleachers, dyers, finishers. 435 Show data context
VIII. Leather workers, fur dressers. 497 Show data context
IX. Makers of textile goods and articles of dress. 834 Show data context
1. Garment workers. 528 Show data context
    383 Tailoresses. 52 Show data context
    385 Dressmakers and light clothing makers. 46 Show data context
    386 Machinists. 340 Show data context
X. Makers of foods, drinks and tobacco. 155 Show data context
1. Makers of foods. 134 Show data context
XII. Makers of, workers in, paper; printers. 403 Show data context
3. Printers, bookbinders. 32 Show data context
XVI. Administrators, directors, mangeresses. 59 Show data context
XVII. Persons employed in transport, etc. 133 Show data context
5. Other workers in communications, etc. 73 Show data context
XVIII. Commercial, finance, etc.(exc. Clerical). 1,144 Show data context
1. Commercial occupations. 1,133 Show data context
    720-729 Owners, etc. of retail businesses. 367 Show data context
    730-739 Saleswomen, shop assistants. 691 Show data context
2. Persons employed in finance and insurance. 11 Show data context
XIX. Professional and technical (exc. clerical). 689 Show data context
    770-772 Nurses and midwives. 274 Show data context
    780,785 Teachers. 224 Show data context
XXII. Persons engaged in personal service. 1,564 Show data context
    862-865 Owners, etc. of cafes, hotels, etc. 107 Show data context
    867 Waitresses, still room hands. 120 Show data context
    876 Charwomen, office cleaners. 318 Show data context
    877-878 Laundry workers, dry cleaners. 85 Show data context
    882 Cooks. 99 Show data context
    883-885 Other domestic servants (indoor). 583 Show data context
XXIII. Clerks, typists, etc. 1,284 Show data context
    890-895 Costing, estimating, other clerks. 723 Show data context
    891-892 Typists, secretaries. 492 Show data context
XXIV. Warehousewomen, storekeepers, packers, etc. 257 Show data context
XXVI. Workers in unskilled occupations (n.e.s.). 728 Show data context
I,III-V,XI,XIII-XV,XX,XXI,XXV,XXVII Others. 269 Show data context

Click on the triangles for all about a particular number.

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.