Flow Data Information System

1981 Census: Special Workplace Statistics (Set C) (re-estimated for 2001 boundaries)

Detailed description of this datatype is missing! See below for automatically generated information about contents.

Citation information

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, 1981 Census: Special Workplace Statistics (Set C) (re-estimated for 2001 boundaries) [computer file], UK Data Service

Further information

There are 5 tables defined for this data set:

The data are available for the following geographies:

Geographies of origin areasGeographies of destination areas
Supported directly
[i]UK Standard Table Wards 2001[i]1981 SWSC Other workplace categories
[i]UK Standard Table Wards 2001
Supported via aggregation
[i]UK interaction data districts 2001
[i]UK Government Office Regions (1999-)
[i]CIDS 1991/2001 common geography - 'districts'
[i]2001 ONS ST Ward Classification Supergroup
[i]2001 ONS ST Ward Classification Group
[i]2001 ONS ST Ward Classification Subgroup
[i]2001 ONS ST Ward Demographic Indicator Deciles
[i]UK interaction data districts 2001
[i]UK Government Office Regions (1999-)
[i]CIDS 1991/2001 common geography - 'districts'
[i]2001 ONS ST Ward Classification Supergroup
[i]2001 ONS ST Ward Classification Group
[i]2001 ONS ST Ward Classification Subgroup
[i]2001 ONS ST Ward Demographic Indicator Deciles

Output for geographies that are only supported via aggregation will take longer than for those supported directly

Table frameworks


Table 1: Mode of transport by sex
Male Female
Total 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

Table 2: Social Class and Socio-Economic Group by Sex
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

Table 3: Occupation Orders by Sex
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

Table 4: Industry Division by Sex
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

Table 5: Age by Sex
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