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1991 SWS Set C (2001 geog): [Unselect all] [Edit list]
Total employees and self-employed (10%)
2011 SMS Merged LA/LA [Origin and destination of international migrants by age (broad grouped) by sex] - MM01CUK - Open: [Unselect all] [Edit list]
All usual residents who were living outside the UK one year ago
1981 SWS Set C (1981 geog; county/region level): [Unselect all] [Edit list]
Total persons [Table 1]
2001 SMS Level 3: [Unselect all] [Edit list]
Total migrants
2011 SRS Merged LA/LA [Location of where people live when working and place of work (with 'second address outside UK' collapsed)] - RF04AEW - Open: [Unselect all] [Edit list]
All usual residents aged 16 and over in employment the week before the census
2011 SMS Merged LA/LA [Origin and destination of international migrants (expanded country origin)] - MF02UK - Open: [Unselect all] [Edit list]
All usual residents who were living outside the UK one year ago
1991 SWS Set C (2001 geog; inc. pro-rate 'workplace unstated'): [Unselect all] [Edit list]
Total employees and self-employed (10%)
2011 SMS Merged LA/LA [Origin and destination of migrants by age (grouped)] - MU01BUK_all - Open: [Unselect all] [Edit list]
All usual residents who were living at a different address one year ago
2011 SSS Scotland only Council Areas - Open: [Unselect all] [Edit list]
All people aged 4 and over studying the week before the census
Sample data: [Unselect all] [Edit list]
Total migrants
2001 STS Level 2 (Scotland: postal sectors): [Unselect all] [Edit list]
Total persons (inc. those who do not work or study)
1991 SWS Set C (inc. home-workers in intra-zonal flow): [Unselect all] [Edit list]
Total employees and self-employed (10%)

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Added 'Total employees and self-employed (10%)(1991 SWS Set C (inc. home-workers in intra-zonal flow))' to list of selected data.

Information about the selected dataset

The 1991 Special Workplace Statistics Set C contain counts of journeys-to-work between and within wards in GB, 1991. This version incorporates persons who work at home into the regular within-ward flows. The data are based on a 10% sample.

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