INDUSTRY |
Males.
[1]
|
Females.
[2]
|
TOTAL - ALL INDUSTRIES |
5,809
|
1,465
|
Married women (included in Total) |
0
|
399
|
Employers |
333
|
42
|
Managers |
104
|
63
|
Operatives |
4,840
|
1,240
|
Working on own account |
532
|
120
|
I. Agriculture, forestry, fishing |
2,309
|
153
|
1. Agriculture and horticulture |
2,229
|
150
|
II. Mining and quarrying |
7
|
0
|
10. Coal mining |
0
|
0
|
11-19. Other mining and quarrying |
7
|
0
|
III. Ceramics, glass, cement, etc. |
6
|
0
|
20. Bricks and fireclay goods |
4
|
0
|
24. Cement |
0
|
0
|
IV. Chemicals and allied trades |
4
|
0
|
30,31,33. Coke ovens, chemicals and explosives |
0
|
0
|
V. Metal manufacture |
8
|
0
|
VI. Engineering, shipbuilding and electrical goods |
36
|
1
|
50,51. Shipbuilding, marine engineering |
0
|
0
|
54. Machine tools and engineers' small tools |
0
|
0
|
56. Textile machinery and accessories |
0
|
0
|
58. Constructional engineering |
0
|
0
|
52,53,55,57,69. Other mechanical engineering |
32
|
1
|
70. Electrical machinery |
0
|
0
|
73,74. Wireless apparatus, valves and lamps |
3
|
0
|
71,72,75,79. Other electrical engineering |
1
|
0
|
VII. Vehicles |
98
|
9
|
80. Manufacture of motor vehicles and cycles |
2
|
0
|
81. Motor repairers and garages |
94
|
9
|
82,83. Manufacture of aircraft; vehicle parts |
0
|
0
|
VIII. Metal goods not elsewhere specified |
14
|
0
|
IX. Precision instruments, jewellery, etc. |
5
|
0
|
X. Textiles |
2
|
1
|
110. Cotton spinning, doubling, etc. |
0
|
0
|
111. Cotton weaving, etc. |
0
|
0
|
112. Woollen and worsted |
0
|
0
|
113,114. Rayon, etc. production, weaving; silk |
0
|
0
|
118. Hosiery, and other knitted goods |
0
|
1
|
123. Textile finishing, etc. |
0
|
0
|
XI. Leather, leather goods and fur |
2
|
0
|
XII. Clothing |
20
|
8
|
140. Tailoring |
6
|
0
|
141. Dressmaking |
0
|
8
|
148,149. Boot and shoe making and repairing |
14
|
0
|
XIII. Food, drink and tobacco |
100
|
16
|
150-162. Food |
92
|
16
|
163-168. Drink |
8
|
0
|
XIV. Manufactures of wood and cork |
39
|
2
|
170. Timber |
22
|
1
|
171. Furniture and upholstery |
4
|
0
|
XV. Paper and printing |
12
|
3
|
180. Paper and board |
0
|
0
|
186,189. Printing and publishing |
11
|
3
|
XVI. Other manufacturing industries |
9
|
7
|
XVII. Building and contracting |
531
|
8
|
XVIII. Gas, electricity and water |
46
|
1
|
210. Gas |
28
|
1
|
211. Electricity |
10
|
0
|
212. Water |
8
|
0
|
XIX. Transport and communication |
182
|
48
|
220. Railways |
76
|
2
|
221,222. Road passenger transport |
12
|
0
|
223. Goods transport by road |
37
|
4
|
224-226. Sea transport, port service, etc. |
0
|
0
|
228. Postal, telegraph, wireless communication |
53
|
42
|
XX. Distributive trades |
331
|
197
|
240. Dealing In coal, builders' materials, etc. |
37
|
7
|
241. Dealing in other Industrial materials |
10
|
1
|
242. Wholesale distribution of food and drink |
19
|
9
|
243. Retail distribution of food and drink |
161
|
118
|
244. Wholesale distribution of non-food goods |
21
|
2
|
245. Retail distribution of non-food goods |
72
|
48
|
246. Retail sales of sweets, tobacco, papers |
11
|
12
|
XXI. Insurance, banking and finance |
83
|
9
|
XXII. Public administration and defence |
1,348
|
60
|
260. National government service |
1,206
|
11
|
265. Local government service |
142
|
49
|
XXIII. Professional services |
287
|
392
|
271. Education |
88
|
177
|
273. Medical and dental services |
152
|
201
|
XXIV. Miscellaneous services |
323
|
548
|
280,281. Entertainment and sport |
11
|
4
|
285. Catering, hotels, etc. |
130
|
177
|
286. Laundries |
10
|
50
|
287. Dry cleaning. Job dyeing, etc. |
0
|
0
|
288. Hairdressing and manicure |
7
|
11
|
290,291. Private domestic service |
154
|
302
|
Not stated and Ill-defined industry |
7
|
2
|
Click on the triangles for all about a particular number.
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.