Flow Data Information System
SWS Set C are the journey-to-work flows within and between wards. For each origin-destination pair, 172 counts were produced in 5 separate tables, providing data on mode of transport to work, social class, socio-economic group, occupation, industrial division and age structure of males and females aged 16 and over in employment.
This version of the data set uses original 1981 geography, but is limited to county and region level. The 1981 SWS data are available at a more detailed (ward) level for 1991 based boundaries in other data sets. The structure of the original data makes it hard to work them at more detailed spatial scales; however users who may be interested in the original 1981 SWS data should contact CIDS and ask for more information
.The SWS data are taken from a 10% sample and consequently have not been adjusted by OPCS for confidentiality. Users should also be aware that the commuting data on intra-ward flows includes those people who work at home as well as those who commute to work within the same ward.
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 (using 1981 geography at county/region level) [computer file], UK Data Service
This data type is derived from:
The following pre-defined totals are available from this data set:
There are 5 tables defined for this data set:
The data are available for the following geographies:
Geographies of origin areas | Geographies of destination areas |
---|---|
Supported directly | |
1981 census county/region | 1981 SWSC Other workplace categories 1981 census county/region |
Supported via aggregation | |
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 |