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Data |  | Status: 8 data items currently selected [Unselect all][Show list] |
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1991 SMS - MIGPOP: [Unselect all] [Edit list]
Total migrants
1991 SWS Set C: [Unselect all] [Edit list]
Total employees and self-employed (10%)
1981 SWS Set C (1991 geog; inc. pro-rate 'workplace unstated'): [Unselect all] [Edit list]
Total persons [Table 1]
2001 SMS Level 2 (Scotland: postal sectors): [Unselect all] [Edit list]
Total migrants
2001 SWS Level 2: [Unselect all] [Edit list]
Total employees and self-employed [Table W201]
2001 STS Level 2: [Unselect all] [Edit list]
Total persons (inc. those who do not work or study)
2015 SSS Merged LA/LA [Local Authority cross border movement matrix of state-funded special school pupils resident in England] - 14C: [Unselect all] [Edit list]
State-funded special school pupils resident in England
1991 SMS - SMSGAPS: [Unselect all] [Edit list]
Total migrants
General selection tools | ||
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Table - Finder: | The easiest way to locate a 2011 Census flow-data table. Search using free text, multiple parameters and criteria. It will redirect to an external website (NOMIS) which will lead back to WICID if you select a data set available through UKDS. - *new* |
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Quick Selection: | Some data sets include predefined totals - total migrants for example - that can be easily selected using this method. |
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Select by Dataset and Table: | This method allows you to select cells within tables as described in published documentaion. |
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Select by Variable: | This method allows you to select from a list of variables; you will then be presented with a list of all tables in which your chosen variables appear |
Other data |
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Population Data | Select population counts - *If you wish to calculate migration or commuting rates you will need a population denominator. Only select population data AFTER you have selected your flow data. Consult the WICID help system for a full guide to downloading populations with your flows.* |
Data manipulation tools | ||
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Edit list | Edit a list of selected variables. |
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Derive | Derive new variables by combining variables that you have already selected |
