1. Use of administrative registers in census 2011. Estonian experience Ene-Margit Tiit, prof emer. Statistics Estonia, University of Tartu

2. Presentatsiooni pealkiri või esitaja nimi Content Usage of registers during the census 2011 Usage of registers for assessing the real population size and coverage rate 01.01.2006

3. Presentatsiooni pealkiri või esitaja nimi USAGE OF REGISTERS DURING THE CENSUS 01.01.2006

4. Presentatsiooni pealkiri või esitaja nimi Methodology of census2011 in Estonia The methodology of the census 2011 in Estonia was a combination of using administrative registers, self-enumeration by internet and face-to-face interviews. In general, this methodology justified our hopes, so that about 65% of population enumerated themselves using internet and in general, the quality of the data was high. But this method also caused some undercoverage. In the case when a people marked by internet a wrong address, then the enumerator did not visit this address during the field work. 01.01.2006

5. Presentatsiooni pealkiri või esitaja nimi E-enumeration rate 01.01.2006

6. Presentatsiooni pealkiri või esitaja nimi Administrative registers were used in different steps of the census: Population register and buildings’ register were used in preparation of working lists for enumerators; Population register and register of census data from 2000 were used to pre-fill the census questionnaires; The data about current studying were taken from the information basis of education; The registers listed, but also some other sources will be used for imputation missing values in the census data-base. 01.01.2006

7. Presentatsiooni pealkiri või esitaja nimi USAGE OF REGISTERS FOR ASSESSING THE REAL POPULATION SIZE AND COVERAGE RATE 01.01.2006

8. Presentatsiooni pealkiri või esitaja nimi It is well-known fact that nowadays due high mobility of the population the undercoverage of the census is a serious problem. The situation is more complicated when the combined methodology is used. To assess the coverage rate the real population size must be assessed, using some exterior data resources. From this fact follows the second task where the registers will be used. It is  estimation of the amount of non-enumerated people,  calculation of population size  assessing the number of illegal emigrants between two censuses  estimating the coverage rate of the census. 01.01.2006

9. Presentatsiooni pealkiri või esitaja nimi With this aim we will use about 10 different registers that form an unified system in Estonia where all persons are identified using ID-codes. The population register that is the central register and has been created about 20 years ago, contains about 4% more persons than the number of persons enumerated by census.  Some of these people do not live in Estonia any more, as they are illegally (without registration) emigrated.  Another part of these people live still in Estonia, but they were by different reasons not enumerated. 01.01.2006

10. Presentatsiooni pealkiri või esitaja nimi People in Population Register form the set P and the set of enumerated people is E. It is necessary to divide the set P—E into two parts: A – residents B – non-residents (emigrated) #A – number of people in A Then the real poplation size is N = #E+#A and the coverage rate is #E/N 01.01.2006

11. Presentatsiooni pealkiri või esitaja nimi We assumed that people living in Estonia (being residents), are active in the sense of some register  they get salary (and pay taxes),  they study,  they have health insurance,  they get pension or  some social support etc. When we studied the coverage of the population by registers, we ascertained that in average each resident of Estonia has some record during a year in average in three registers. In the opposite, the non-residents have records in much less registers. 01.01.2006

12. Presentatsiooni pealkiri või esitaja nimi Residents and non-residents. Coverage by registers depending on age 01.01.2006

13. Presentatsiooni pealkiri või esitaja nimi Using different combinations of registers for different age-groups we succeeded to elaborate the algorithm for differentiation the and non-residents having quite high Odds Ratio OR = (p1/q1)/(p2/q2), 40<OR<240  p1 is the probability that the person belongs to residents,  p2 – to non-residents and  q=1-p. The differentiation is most problematic for men of age- group 20—40, as they form the most mobile group of population 01.01.2006

14. Presentatsiooni pealkiri või esitaja nimi01.01.2006 Thank you!