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 County Durham AdmC Houghton le Spring UD  
Occupation Persons
[1]
MALES:
Total Population.
15,097 Show data context
Total Occupied Population aged 15 and over. 11,264 Show data context
Total occupied (orders I-XXVII). 9,792 Show data context
Retired. 1,472 Show data context
Employers. 112 Show data context
Managers. 184 Show data context
Operatives. 8,916 Show data context
Self-employed. 233 Show data context
Unemployed. 347 Show data context
I. Fishermen. 0 Show data context
II. Agricultural, etc. occupations. 195 Show data context
1. Agricultural and horticultural occupations. 176 Show data context
    010, 011 Farmers. 37 Show data context
    013, 014 Market gardeners, etc. and foremen. 1 Show data context
    015 Other gardeners. 34 Show data context
III. Mining and quarring occupations. 3,903 Show data context
    041-047 Workers below ground in coal mines. 3,045 Show data context
    049 Workers above ground in coal mines. 543 Show data context
IV. Workers in ceramics, glass, cement, etc. 48 Show data context
V. Coal gas, etc. makers, workers in chemicals. 54 Show data context
VI. Workers in metal manufacture, engineering. 1,184 Show data context
1. Foremen, overlookers. 50 Show data context
4. Foundry workers (excluding pattern makers). 51 Show data context
9. Metal machinists. 42 Show data context
10. Fitters, machine erectors. 392 Show data context
    184 Motor and motor cycle mechanics. 69 Show data context
12. Plumbers, pipe fitters, etc. 97 Show data context
16. Electrical apparatus makers, etc. (n.e.s.). 250 Show data context
VII. Textile workers. 5 Show data context
VIII. Leather workers, fur dressers. 32 Show data context
2. Boot and Shoe makers. 21 Show data context
IX. Makers of textile goods and articles of dress. 15 Show data context
1. Garment workers. 10 Show data context
    383 Tailors. 5 Show data context
X. Makers of foods, drinks and tobacco. 41 Show data context
1. Makers of foods. 40 Show data context
XI. Workers wood, cane and cork. 286 Show data context
    472 Carpenters, joiners. 209 Show data context
XII. Makers of, workers in, paper; printers. 12 Show data context
3. Printers, bookbinders. 8 Show data context
XIII. Makers of products (n.e.s.). 22 Show data context
XIV. Workers in building and contracting. 767 Show data context
    583 Bricklayers. 219 Show data context
XV. Painters and decorators. 155 Show data context
XVI. Administrators, directors, managers (n.e.s.). 87 Show data context
    620-629 Managers in industrial undertakings. 47 Show data context
XVII. Persons employed in transport, etc. 694 Show data context
1. Railway transport workers. 156 Show data context
2. Road transport workers. 471 Show data context
    655-658 Powered passenger vehicle drivers. 153 Show data context
    659 Drivers of goods vehicles. 125 Show data context
3. Water transport workers. 12 Show data context
    681 Dock labourers. 0 Show data context
5. Other workers in communications, etc. 55 Show data context
    702 Postmen, post office sorters. 24 Show data context
XVIII. Commercial, finance, etc. (exc. Clerical). 579 Show data context
1. Commercial occupations. 531 Show data context
    710-711 Wholesalers, brokers, agents, etc. 15 Show data context
    715 Commercial travellers, canvassers. 34 Show data context
    720-729 Owners, etc. of retail businesses. 180 Show data context
    730-739 Salesmen, shop assistants. 226 Show data context
    741 Roundsmen, van salesmen. 48 Show data context
2. Persons employed in finance and insurance. 48 Show data context
XIX. Professional and technical (exc. Clerical). 317 Show data context
    780,785 Teachers. 91 Show data context
    786-792 Professional engineers, architects. 39 Show data context
    794,799 Industrial designers, draughtsmen. 38 Show data context
XX. Persons employed in defence services. 140 Show data context
1. Armed forces. 56 Show data context
XXI. Persons engaged in entertainments and sport. 68 Show data context
XXII. Persons engaged in personal service. 148 Show data context
    862-865 Owners, etc. of cafes, hotels, etc. 50 Show data context
XXIII. Clerks, typists, etc. 288 Show data context
    890-895 Costing, estimating, other clerks. 281 Show data context
    891,892 Typists, secretaries . 7 Show data context
XXIV. Warehousemen, storekeepers, packers, etc. 58 Show data context
901 Storekeepers. 34 Show data context
XXV. Stationary engine drivers, stokers, etc. 203 Show data context
XXVI. Workers in unskilled occupations (n.e.s.). 438 Show data context
XXVII. Other and undefined workers. 53 Show data context
XXVIII. Retired and not gainfully occupied. 1,472 Show data context
Y Retired. 1,224 Show data context


FEMALES:
Total Population.
15,579 Show data context
Total Occupied Population aged 15 and over. 11,792 Show data context
Total occupied (orders I-XXVII). 2,594 Show data context
Retired. 9,198 Show data context
Employers. 21 Show data context
Managers. 55 Show data context
Operatives. 2,361 Show data context
Self-employed. 75 Show data context
Unemployed. 82 Show data context
II. Agricultural, etc. occupations. 28 Show data context
1. Agricultural and horticultural occupations. 27 Show data context
VI. Workers in metal manufacture, engineering. 35 Show data context
16. Electrical apparatus makers, etc. (n.e.s.). 8 Show data context
VII. Textile workers. 12 Show data context
2. Spinners, doublers. 0 Show data context
3. Winders, warpers, sizers, drawers-in. 1 Show data context
4. Weavers. 3 Show data context
6. Bleachers, dyers, finishers. 3 Show data context
VIII. Leather workers, fur dressers. 34 Show data context
IX. Makers of textile goods and articles of dress. 214 Show data context
1. Garment workers. 207 Show data context
    383 Tailoresses. 17 Show data context
    385 Dressmakers and light clothing makers. 33 Show data context
    386 Machinists. 107 Show data context
X. Makers of foods, drinks and tobacco. 90 Show data context
1. Makers of foods. 90 Show data context
XII. Makers of, workers in, paper; printers. 7 Show data context
3. Printers, bookbinders. 4 Show data context
XVI. Administrators, directors, mangeresses. 7 Show data context
XVII. Persons employed in transport, etc. 27 Show data context
5. Other workers in communications, etc. 16 Show data context
XVIII. Commercial, finance, etc.(exc. Clerical). 513 Show data context
1. Commercial occupations. 511 Show data context
    720-729 Owners, etc. of retail businesses. 61 Show data context
    730-739 Saleswomen, shop assistants. 418 Show data context
2. Persons employed in finance and insurance. 2 Show data context
XIX. Professional and technical (exc. clerical). 259 Show data context
    770-772 Nurses and midwives. 83 Show data context
    780,785 Teachers. 142 Show data context
XXII. Persons engaged in personal service. 561 Show data context
    862-865 Owners, etc. of cafes, hotels, etc. 38 Show data context
    867 Waitresses, still room hands. 39 Show data context
    876 Charwomen, office cleaners. 68 Show data context
    877-878 Laundry workers, dry cleaners. 11 Show data context
    882 Cooks. 32 Show data context
    883-885 Other domestic servants (indoor). 263 Show data context
XXIII. Clerks, typists, etc. 460 Show data context
    890-895 Costing, estimating, other clerks. 309 Show data context
    891-892 Typists, secretaries. 119 Show data context
XXIV. Warehousewomen, storekeepers, packers, etc. 78 Show data context
XXVI. Workers in unskilled occupations (n.e.s.). 193 Show data context
I,III-V,XI,XIII-XV,XX,XXI,XXV,XXVII Others. 76 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.