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included in different registers, they can be used for verifying the quality of
data, on the one hand, and for selecting the most reliable values in accordance
with the developed methodological rules, on the other hand.
Generally, census characteristics cannot be acquired directly from
registers, because registers have been designed for other, non-statistical
purposes and most of the definitions used differ from statistical definitions. It
means that data from multiple registers have to be used in order to form
certain census characteristics (e.g., the characteristic of ‘activity status’ requires
data from more than 10 registers), while some characteristics are covered by
duplicate information in several registers. The methodologists have solved the
following main problems connected with the forming of census characteristics.
This work has demonstrated that a register-based population and housing
census is feasible and the preparations for the census have been purposeful.
But we could not say that it is possible to conduct a register-based census in
2021. Because the biggest problem for Estonia is the difference between
registered and actual places of residence. This affects the breakdown of the
lowest level of the place of usual residence (municipality) and all household
and family characteristics.
Along with data also the methodology of census statistics is being
developed, i.e. new possibilities will emerge for processing data. New data
categories and data formats require improvements in the methodology and
new methodological approaches.

References
1. Puur, A.(2013).Register-based census methodology report.In
Estoniann.Tallinn
2. Beltadze, D.(2016).Securing interoperability for the first registerbased
census.Tallinn University.
3. Paut, H.(2007).Summary of the analysis on 11 registers.In
Estonian.Tallinn.
4. Beltadze, D.(2016). Information technology and its impact on
productivity.Paper for the workshop on the census, Geneva,Switzerland.
5. Maasing, E. (2015). Permanent residency status determination in
register-based census. Master’s thesis. University of Tartu, Faculty of
Mathematics and Computer Sciences, Institute of mathematical statistics.
[www] http://dspace.utlib.ee/dspace;/handle/10062/47557
6. Tiit, E.-M., Vähi, M. (2017a)Indexes in demographic statistics: a
methodology using nonstandard information for solving critical
problems. Papers on Anthropology XXVI/1, pp. 72–87
7. Tiit, E.-M., Visk, H., Levenko, V. (2018). Partnership index. Bulletin of
Statistics Estonia No 2.

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