Flow Data Information System
Detailed description of this datatype is missing! See below for automatically generated information about contents.
The following statements should be attached to all output produced using this data set
© Source: 1981 Census, Crown Copyright. ESRC/JISC Purchase
Data from this set should be cited in a bibliography as:
Office for National Statistics, 1981 Census: Special Workplace Statistics (Set C) (re-estimated for 2001 boundaries; incorporating pro-rate 'workplace unstated') [computer file], UK Data Service
This data type is derived from:
There are 5 tables defined for this data set:
The data are available for the following geographies:
Output for geographies that are only supported via aggregation will take longer than for those supported directly
Male | Female | |
Persons | 1 | 2 |
British Rail train | 3 | 4 |
Underground, Tube, Metro etc. | 5 | 6 |
Bus | 7 | 8 |
Motor cycle | 9 | 10 |
Car Pool, sharing driving | 11 | 12 |
Car Driver | 13 | 14 |
Car Passenger | 15 | 16 |
Pedal cycle | 17 | 18 |
On foot | 19 | 20 |
Works at home | 21 | 22 |
Other | 23 | 24 |
Not stated | 25 | 26 |
Male | Female | |
All social classes | 1 | 2 |
I Professional etc. occupations | 3 | 4 |
II Managerial and technical | 5 | 6 |
III(N) Skilled occupations - non-manual | 7 | 8 |
III(M) Skilled occupations - manual | 9 | 10 |
IV Partly Skilled occupations | 11 | 12 |
V Unskilled occuptations | 13 | 14 |
Armed Forces and inadequately described | 15 | 16 |
1 | 17 | 18 |
1.1 | 19 | 20 |
1.2 | 21 | 22 |
2 | 23 | 24 |
2.1 | 25 | 26 |
2.2 | 27 | 28 |
3 | 29 | 30 |
4 | 31 | 32 |
5 | 33 | 34 |
5.1 | 35 | 36 |
5.2 | 37 | 38 |
6 | 39 | 40 |
7 | 41 | 42 |
8 | 43 | 44 |
9 | 45 | 46 |
10 | 47 | 48 |
11 | 49 | 50 |
12 | 51 | 52 |
13 | 53 | 54 |
14 | 55 | 56 |
15 | 57 | 58 |
16 | 59 | 60 |
17 | 61 | 62 |
Male | Female | |
All occupation orders | 1 | 2 |
Professional and related supporting management, Senior National and Local Government Managers | 3 | 4 |
Professional and related in education, welfare, and health | 5 | 6 |
Literary,artistic, and sports | 7 | 8 |
Professional and related in science, engineering, technology, and similar fields | 9 | 10 |
Managerial | 11 | 12 |
Clerical and related | 13 | 14 |
Selling | 15 | 16 |
Security and protective service | 17 | 18 |
Catering,cleaning,hair-dressing, and other personal service | 19 | 20 |
Farming, fishing and related | 21 | 22 |
Materials processing: making and repairing (excluding metal and electrical) | 23 | 24 |
Processing, making, repairing and related (metal and electrical) | 25 | 26 |
Painting, repetitive assembling, product inspecting, packaging and related | 27 | 28 |
Construction,mining and related, not identified elsewhere | 29 | 30 |
Transport operating, materials moving and storing, and related | 31 | 32 |
Miscellaneous | 33 | 34 |
Inadequately described and not stated | 35 | 36 |
Male | Female | |
All divisions | 1 | 2 |
0 Agriculture, Forestry and Fishing | 3 | 4 |
1 Energy and Water Supply Industries | 5 | 6 |
2 Extraction of Minerals and Ores other then Fuels | 7 | 8 |
3 Metal Goods, Engineering and Vehicle Industries | 9 | 10 |
4 Other Manufacturing Industries | 11 | 12 |
5 Construction | 13 | 14 |
6 Distribution, Hotels and Catering: repairs | 15 | 16 |
7 Transport and Communication | 17 | 18 |
8 Banking, Finance, Insurance, Business Services and Leasing | 19 | 20 |
9 Other Services | 21 | 22 |
Male | Female | |
All ages 16 and over | 1 | 2 |
16 | 3 | 4 |
17 | 5 | 6 |
18 | 7 | 8 |
19 | 9 | 10 |
20-24 | 11 | 12 |
25-34 | 13 | 14 |
35-44 | 15 | 16 |
45-54 | 17 | 18 |
55-59 | 19 | 20 |
60-64 | 21 | 22 |
65+ | 23 | 24 |