Flow Data Information System
The 1991 SWS derive from two questions in the 1991 Census about place of usual residence and place of work. There are three sets of tables (SWS Sets A, B and C). Set A and Set B provide data on the employed and self-employed population by residential and workplace respectively. SWS Set C is the data set that involves interaction flow data that are accessible through WICID.
SWS Set C are the journey-to-work flows within and between wards (in England and Wales) and postcode sectors (in Scotland). wards (in England and Wales) and postcode sectors (in Scotland). The entire data set is extremely large because there are 9,930 wards and 1,003 postal sectors but the majority of the cells (interaction flows) in the entire origin-destination matrix are zeros.
Users can choose from 274 counts organised into 9 tables to extract commuting data on economic position and age of employees and self employed, hours worked, family position, distance commuted, mode of transport, cars available to household, occupation, social class and socio-economic group, and industry division.
All the data were obtained from a 10% sample and therefore problems of adjustment to preserve confidentiality are not encountered. Users will need to multiply raw data by 10 if wanting to determine actual commuting levels. Users should also be aware that the commuting data on intra-ward flows can be selected that distinguishes those people who work at home from those who commute to work within the same ward.
Flowerdew, R. and Green, A. (1993) Migration, transport and workplace statistics from the 1991 Census, in Dale A. and Marsh, C. (eds) The 1991 Census User's Guide, HMSO, London: 269-94.
The following statements should be attached to all output produced using this data set
Data from this set should be cited in a bibliography as:
Office for National Statistics, 1991 Census: Special Workplace Statistics (Set C) [computer file], UK Data Service
The following pre-defined totals are available from this data set:
There are 9 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
Total employees and self-employed | Economic position | |||||
Employees | Self-employed | |||||
Male | Female | Male | Female | Male | Female | |
Total employees and self-employed | 1 | 28 | 2 | 29 | 3 | 30 |
16-19 | 4 | 31 | 5 | 32 | 6 | 33 |
20-29 | 7 | 34 | 8 | 35 | 9 | 36 |
30-39 | 10 | 37 | 11 | 38 | 12 | 39 |
40-49 | 13 | 40 | 14 | 41 | 15 | 42 |
50-54 | 16 | 43 | 17 | 44 | 18 | 45 |
55-59 | 19 | 46 | 20 | 47 | 21 | 48 |
60-64 | 22 | 49 | 23 | 50 | 24 | 51 |
65+ | 25 | 52 | 26 | 53 | 27 | 54 |
Employees and self-employed | ||
Male | Female | |
Total employees and self-employed | 1 | 6 |
15 and under | 2 | 7 |
16-30 | 3 | 8 |
31 and over | 4 | 9 |
Not stated | 5 | 10 |
Employees and self-employed | ||
Male | Female | |
Total employees and self-employed | 1 | 7 |
Family head / partner in couple family | 2 | 8 |
Lone parent | 3 | 9 |
Non-dependent child | 4 | 10 |
Not in family | 5 | 11 |
Not in household | 6 | 12 |
Male | Female | |
Total employees and self-employed with a workplace coded | 1 | 9 |
Less than 2 km | 2 | 10 |
2 to 4 km | 3 | 11 |
5 to 9 km | 4 | 12 |
10 to 19 km | 5 | 13 |
20 to 29 km | 6 | 14 |
30 to 39 km | 7 | 15 |
More than 40 km | 8 | 16 |
Male | Female | |
Total employees and self-employed | 1 | 12 |
British Rail train | 2 | 13 |
Underground | 3 | 14 |
Bus | 4 | 15 |
Car Driver | 5 | 16 |
Car Passenger | 6 | 17 |
Motor cycle | 7 | 18 |
Pedal cycle | 8 | 19 |
On foot | 9 | 20 |
Not stated | 10 | 21 |
Works at home | 11 | 22 |
Male | Female | |
Total employees and self-employed in a household | 1 | 6 |
0 cars | 2 | 7 |
1 car | 3 | 8 |
2 cars | 4 | 9 |
3 or more cars | 5 | 10 |
Male | Female | |
Total employees and self-employed in a household | 1 | 25 |
Managers and Administrators | ||
1(a) Corporate Managers and Administrators | 2 | 26 |
1(b) Managers / Proprietors in Agriculture Services | 3 | 27 |
Professional Occupations | ||
2(a) Science and Engineering Professionals | 4 | 28 |
2(b) Health Professionals | 5 | 29 |
2(c) Teaching Professionals | 6 | 30 |
2(d) Other Professional Occupations | 7 | 31 |
Associate Professional and Technical Occupations | ||
3(a) Science and Engineering Associate Professionals | 8 | 32 |
3(b) Health Associate Professionals | 9 | 33 |
3(c) Other Associate Professional Occupations | 10 | 34 |
Clerical and Secretarial Occupations | ||
4(a) Clerical Occupations | 11 | 35 |
4(b) Secretarial Occupations | 12 | 36 |
Craft and Related Occupations | ||
5(a) Skilled Construction Trades | 13 | 37 |
5(b) Skilled Engineering Trades | 14 | 38 |
5(c) Other Skilled Trades | 15 | 39 |
Personal and Protective Services Occupations | ||
6(a) Protective Service Occupations | 16 | 40 |
6(b) Personal Service Occupations | 17 | 41 |
Sales Occupations | ||
7(a) Buyers, Brokers and Sales Representatives | 18 | 42 |
7(b) Other Sales Occupations | 19 | 43 |
Plant and Machine Operatives | ||
8(a) Industrial Plant and Machine Operators, Assemblers | 20 | 44 |
8(b) Drivers and Mobile Machine Operators | 21 | 45 |
Other Occupations | ||
9(a) Other Occupations in Agriculture, Forestry and Fishing | 22 | 46 |
9(b) Other Elementary Occupations | 23 | 47 |
Occupation not stated | 24 | 48 |
Male | Female | |
Total employees and self-employed in a household | 1 | 28 |
Social Class | ||
I Professional etc. occupations | 2 | 29 |
II Managerial and technical | 3 | 30 |
III(N) Skilled occupations - non-manual | 4 | 31 |
III(M) Skilled occupations - manual | 5 | 32 |
IV Partly Skilled occupations | 6 | 33 |
V Unskilled occuptations | 7 | 34 |
Employers and managers in central and local government, industry, commerce, etc. - large establishments | ||
1.1 Employers | 8 | 35 |
1.2 Managers | 9 | 36 |
Employers and managers in industry, commerce, etc. - small establishments | ||
2.1 Employers | 10 | 37 |
2.2 Managers | 11 | 38 |
3 Professional workers - self-employed | 12 | 39 |
4 Professional workers - employees | 13 | 40 |
Intermediate non-manual workers | ||
5.1 Ancillary workers and artists | 14 | 41 |
5.2 Foremen and supervisors - non-manual | 15 | 42 |
6 Junior non-manual workers | 16 | 43 |
7 Personal service rorkers | 17 | 44 |
8 Foremen and supervisors - manual | 18 | 45 |
9 Skilled manual workers | 19 | 46 |
10 Semi-skilled manual workers | 20 | 47 |
11 Unskilled manual workers | 21 | 48 |
12 Own account workers (other than professional) | 22 | 49 |
13 Farmers - employers and managers | 23 | 50 |
14 Farmers - own account | 24 | 51 |
15 Agricultural workers | 25 | 52 |
16 Members of armed forces | 26 | 53 |
17 Inadequately described and not stated occupations | 27 | 54 |
Male | Female | |
Employees | 1 | 25 |
0 Agriculture, Forestry and Fishing | 2 | 26 |
1 Energy and Water Supply Industries | 3 | 27 |
2 Extraction of Minerals and Ores other then Fuels | 4 | 28 |
3 Metal Goods, Engineering and Vehicle Industries | 5 | 29 |
4 Other Manufacturing Industries | 6 | 30 |
5 Construction | 7 | 31 |
6 Distribution, Hotels an Catering: repairs | 8 | 32 |
7 Transport and Communication | 9 | 33 |
8 Banking, Finance, Insurance, Business Services and Leasing | 10 | 34 |
9 Other Services | 11 | 35 |
10 Industry not stated or inadequately stated | 12 | 36 |
Self-employed | 13 | 37 |
0 Agriculture, Forestry and Fishing | 14 | 38 |
1 Energy and Water Supply Industries | 15 | 39 |
2 Extraction of Minerals and Ores other then Fuels | 16 | 40 |
3 Metal Goods, Engineering and Vehicle Industries | 17 | 41 |
4 Other Manufacturing Industries | 18 | 42 |
5 Construction | 19 | 43 |
6 Distribution, Hotels an Catering: repairs | 20 | 44 |
7 Transport and Communication | 21 | 45 |
8 Banking, Finance, Insurance, Business Services and Leasing | 22 | 46 |
9 Other Services | 23 | 47 |
10 Industry not stated or inadequately stated | 24 | 48 |