1. Israel visit 29 th of April

2. 13:00 – 13:30 Brief introduction to Danish social registers - The central personal register -Income register -Health register 13:30 – 14:00 The Danish SILC -Data collection -Callibration -Dissemination Programme 2

3. The CPR-system  The Central Personal Register was introduced 1968  It assigns a unique ID too anyone living in Denmark. The 6 first digits represents the date of birth.  CPR-numbers: DDMMYY-XXXX  The CPR-system is used by all parts the public sector in Denmark. XXX 3

4.  Name  Age  Sex  Marital status  Citizenship  Place of birth  Address  Municipality  Family (PIN of mother, father, spouse)  Protection of address  Member of national church from PIN-number. 10 digits: ddmmyycxxs The Central Personal Register (CPR)

5. Income statistics 5

6. Income statistics - Taxation at the source Taxation at the source introduced in 1970 The employers/authorities withhold the tax directly, whenever he pay out salaries. (Often once a month) Progressive taxation and deduction makes an pre- tax assesement necessary on the individual level. Based on the assesment the tax administration then forwards the estimated tax percentage to the employer. Financial institutions reports capital gains and interest payments to the tax administration, but do not pay the tax for individuals. Finalised tax statement for the income year, done for most danes 3 months after the end of the year.

7. Income statistics registers Register# of variables PopulationTopic Time The income statistics register 185Full, 5.9 mio Income data and a some wealth components N + 12 Family incomes602.8 mio. fam’s Aggregated incomes on familiesN + 12 Property taxation register502.2 mio. units 3.1 mio. owners Taxation of propertyN+9 Employment classification module (AKM) 30Full 5.9 mio. Line of work(DISCO), socio-economical status etc. N+14 Preliminary incomes (eindkomst) 804.6 mio. Incomes excl. entreprenurial, capital income, preliminary tax, Roughly 90 pct of total incomes Month +3 Pension Tax register (PAF)15Ca. 300k Capital pensionsN+5 Pension contributions15Ca. 3 mio. Pension contributionsN+8 Wealth register? (2016)??Full Marketvalue of housing, cars etc., pension savings, bank deposits, debt etc.

8. Data Sources on income  Key register - Central personal register (CPR)  Primary sources  The final tax assessment  eindkomst (Formerly COR)  Supplement registers  The population register (Based on CPR)  The property tax register  Pension registers (CPS & PAF)  The central business register (CVR)  Labour market registers(Mainly unemployment funds)  Public benefits registers (mainly from municipalities)

9. Not included in the income statstics  Moonlighting (Undeclared income)  Income from gambling  Grants for medicine, dentists, daycare etc.  Pension scheme balance  Unlisted stocks

10. Education and Health statistics 10

11. The Statistical Information System Person id: Person Number Enterprise id: CBR-No Dwelling id: Address Health Income Employ- ment Educa- tion Social VAT CPR BDRBDR CBRCBR Question- naire Inter- view Cadastre

12. The Student Register: education from cradle to the grave Contents: Education code Start date End date Institution (Link to institution register CPR-nr (Linkable to other registers) Established in the early 1970's as a longitudinal register

13. The Institution register covers all units in Denmark that provide education. The register contains detailed information about the educational institutions, local counseling centres etc.  Name and location  CVR-number (link to detailed information in external business register)  Institution leader and contact information  Classification by institution type  Classification by institution geographical unit  Ownership (private, public)  Local authority responsible for institution (if public) The Institution register is hosted by the Ministry of Education Institution register Unique identification of institution 13

14. Danish Education System PersonTime Ministries legislation, regulations Institution register Education register Statistics Denmark Data collection CPR register Student register Adult education Register etc. PhD- register Educational attainment register Data warehouse

15. Overview – Health Registers  Hospitalization Register (SBR) based on “National Register of Patients” and other registers  From 1991  Primary Health Care Register (SSR) based on “Health Insurance Register” for account settlement  From 1992  Others – from Danish Health and Medicines Authority Register of Medicinal Product Statistics Register of Cancer Register of Causes of Death Register of Diabets etc. etc.

16. Dissemination of register statistics 16 Our statbank www.Statbank.dk Periodical newsletters (Danish) http://www.dst.dk/da/Statistik/nyt.aspx Annual publications http://www.dst.dk/en/Statistik/Publikationer.aspxhttp://www.dst.dk/en/Statistik/Publikationer.aspx (English) http://www.dst.dk/Statistik/Publikationer.aspxhttp://www.dst.dk/Statistik/Publikationer.aspx (Danish)

17. Data collection for the EU-SILC Statistics Denmark use registers to provide data on  Demographics  Incomes and taxes  Education  Housing for all household members 17 Prerequisites The interview process Design of the questionnaire Analysis

18. Prerequisites for the use of CAWI  Statistics Denmark use the selected respondent model  Average interview time (CATI) ~12 minutes  Denmark has used CAWI since 2012, as the first country 18 Prerequisites The interview process Design of the questionnaire Analysis

19. The interview process  The households are selected on the basis of our register of population through Simple Random Sampling  Each household is assigned a unique password and household ID  A letter with URL and login information is sent to the selected respondent  If the household don’t complete the web interview (CAWI) within a week a reminder is sent.  If still no response, we contact the household by telephone (CATI)  If unable to reach household by phone, a paper questionnaire is sent 19 Prerequisites The interview process Design of the questionnaire Analysis

20. Completed interviews by mode, 2013 Gross sample: 15.535 households Actually contacted: 8.647 households Completed interviews: 5.460 households 20 Prerequisites The interview process Design of the questionnaire Analysis

21. Response rate, by age 21 Prerequisites The interview process Design of the questionnaire Analysis

22. Calibration of the SILC 22 The following external variables have been used:  Equivalised disposable income  The size of the household  Education level of the person with the highest professional status in the household  Socio-economic status of main income holder in the household  Risk of poverty  Age and sex  Family type  Income mass and income groups (12 intervals: 1, 5, 10, … 90, 95, 99th percentile)  Income mass introduced in 2010, to correct bias/uncertainty in income distribution:

23. Dissemination of SILC in Denmark 23 Statbank. Two indicators, six tables. Annual newsletter Publication – Autumn 2012