1. facebook.com/statisticssweden @SCB_nyheter Disclosure Control NFGS 2015 9-10 september stefan.palmelius@scb.se

2. Disclosure control  Standard tables with e.g. large groups of age.

3. Disclosure control  Standard tables with e.g. large groups of age.  “Confidentiality of statistical information prevents the identification of individuals in statistical reports. When statistics are reported for small areas, our general confidentiality rule is to adjust table cells that contain small values.”

4. Disclosure control  Standard tables with e.g. large groups of age.  “Confidentiality of statistical information prevents the identification of individuals in statistical reports. When statistics are reported for small areas, our general confidentiality rule is to adjust table cells that contain small values.”  Almost all production are made in SQL server. After create and design the ordered table we execute the confidentiality rule.

5. Disclosure control  Standard tables with e.g. large groups of age.  “Confidentiality of statistical information prevents the identification of individuals in statistical reports. When statistics are reported for small areas, our general confidentiality rule is to adjust table cells that contain small values.”  Almost all production are made in SQL server. After create and design the ordered table we execute the confidentiality rule.  SekretessSlump scbstef, Table1, 2, 8, 9 (new total)

6. Disclosure control  Standard tables with e.g. large groups of age.  “Confidentiality of statistical information prevents the identification of individuals in statistical reports. When statistics are reported for small areas, our general confidentiality rule is to adjust table cells that contain small values.”  Almost all production are made in SQL server. After create and design the ordered table we execute the confidentiality rule.  SekretessSlump scbstef, Table1, 2, 8, 9 (new total)  Standardsize for grids, 250 m in urban areas and 1000 m outside.

7. Disclosure control  Standard tables with e.g. large groups of age.  “Confidentiality of statistical information prevents the identification of individuals in statistical reports. When statistics are reported for small areas, our general confidentiality rule is to adjust table cells that contain small values.”  Almost all production are made in SQL server. After create and design the ordered table we execute the confidentiality rule.  SekretessSlump scbstef, Table1, 2, 8, 9 (new total)  Standardsize for grids, 250 m in urban areas and 1000 m outside.  Exception of the general rule can be done.

8. Before Zip codeAge0_6Age7_15Age16_19Age20_24Age25_44Age45_64Age65_wTotal 1114300003003 11145021025313 1114603001217 11147200172214 1114800000123

9. Before Zip codeAge0_6Age7_15Age16_19Age20_24Age25_44Age45_64Age65_wTotal 1114300003003 11145021025313 1114603001217 11147200172214 1114800000123 After Zip codeAge0_6Age7_15Age16_19Age20_24Age25_44Age45_64Age65_wTotal 1114300003003 11145030005311 1114603000003 11147300073316 1114800000303

10. Visualization of spatial statistics  Statistics eXplorer since 2011

11. Visualization of spatial statistics  Statistics eXplorer since 2011  Updating statistics three times/year

12. Visualization of spatial statistics  Statistics eXplorer since 2011  Updating statistics three times/year  Acquired 2013 by Qlik, support of eXplorer to spring 2016

13. Visualization of spatial statistics  Statistics eXplorer since 2011  Updating statistics three times/year  Acquired 2013 by Qlik, support of eXplorer to spring 2016  Interest group, meeting in Linköping 2014 including presentation of alternative software tools

14. Visualization of spatial statistics  Statistics eXplorer since 2011  Updating statistics three times/year  Acquired 2013 by Qlik, support of eXplorer to spring 2016  Interest group, meeting in Linköping 2014 including presentation of alternative software tools  Various meetings and workshops at SCB regarding a new tool for visualization. Specification of functions for the new tool.

15. Visualization of spatial statistics  Statistics eXplorer since 2011  Updating statistics three times/year  Acquired 2013 by Qlik, support of eXplorer to spring 2016  Interest group, meeting in Linköping 2014 including presentation of alternative software tools  Various meetings and workshops at SCB regarding a new tool for visualization. Specification of functions for the new tool.  Organisation at SCB with different departments, Process, Communikation, IT and Subject areas.

16. Visualization of spatial statistics  Statistics eXplorer since 2011  Updating statistics three times/year  Acquired 2013 by Qlik, support of eXplorer to spring 2016  Interest group, meeting in Linköping 2014 including presentation of alternative software tools  Various meetings and workshops at SCB regarding a new tool for visualization. Specification of functions for the new tool.  Organisation at SCB with different departments, Process, Communikation, IT and Subject areas.  Strategy?

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