Financial statistics of insurance enterprises (monthly)
Statistical activity code: 21302
Life and non-life insurance by type and insurance company
Estonian Classification of Economic Activities (EMTAK 2008) based on NACE Rev. 2
Life insurance – the class of assurance which comprises, in particular, assurance on survival to a stipulated age only, assurance on death only, assurance on survival to a stipulated age or on earlier death, life assurance with return of premiums, marriage assurance, birth assurance.
Non-life insurance – all branches of insurance other than life insurance. Non-life insurance by type are motor third party liability (TPL) insurance incl. membership fee to the Estonian Traffic Insurance Foundation (ETIF), accident and sickness, travel insurance, land vehicles insurance (natural persons), land vehicles insurance (legal persons), other vehicles insurance, goods in transit insurance, property insurance (natural persons), property insurance (natural persons), vehicles liability insurance, general liability insurance, insurance for pecuniary loss.
Claim – a demand made by the insured, or the insured’s beneficiary, for payment of the benefits provided by the contract.
Premium – the price of the insurance protection for a specified risk for a specified period of time.
Registered insurance companies
List of active insurance companies generated from the Business Register for Statistical Purposes
Estonia as a whole
DIRECTLY APPLICABLE LEGAL ACTS
Regulation (EC) No 2019/2152 of the European Parliament and of the Council of 27 November 2019 on European business statistics, repealing 10 legal acts in the field of business statistics (Text with EEA relevance)
Regulation (EU) No 549/2013 of the European Parliament and of the Council of 21 May 2013 on the European system of national and regional accounts in the European Union (Text with EEA relevance)
OTHER LEGAL ACTS
The dissemination of data collected for the purpose of producing official statistics is guided by the requirements provided for in § 32, § 34, § 35, § 38 of the Official Statistics Act.
The treatment of confidential data is regulated by the Procedure for Protection of Data Collected and Processed by Statistics Estonia (in Estonian). See more details on the website of Statistics Estonia in the section Õigusaktid.
Notifications about the dissemination of statistics are published in the release calendar, which is available on the website. Every year on 1 October, the release times of the statistical database, news releases, main indicators by IMF SDDS and publications for the following year are announced in the release calendar (in the case of publications – the release month).
All users have been granted equal access to official statistics: dissemination dates of official statistics are announced in advance and no user category (incl. Eurostat, state authorities and mass media) is provided access to official statistics before other users. Official statistics are first published in the statistical database. If there is also a news release, it is published simultaneously with data in the statistical database. Official statistics are available on the website at 8:00 a.m. on the date announced in the release calendar.
Data are published in the statistical database at https://andmed.stat.ee/en/stat under the subject area “Economy / Finance / Insurance” in the following tables:
RRI05: Life insurance by type and insurance company (months)
RRI07: Non-life insurance by type and insurance company (months)
The dissemination of data collected for the purpose of producing official statistics is guided by the requirements provided for in § 33, § 34, § 35, § 36, § 38 of the Access to microdata and anonymisation of microdata are regulated by Statistics Estonia’s procedure for dissemination of confidential data for scientific purposes.
Data serve as input for statistical activities 20407 “Consumer price index” and 20412 “Dwelling price index and owner-occupied housing price index”.
European System of Accounts 2010 (ESA 2010)
Insurance Activities Act
To assure the quality of processes and products, Statistics Estonia applies the EFQM Excellence Model, the European Statistics Code of Practice and the Quality Assurance Framework of the European Statistical System (ESS QAF). Statistics Estonia is also guided by the requirements in § 7. “Principles and quality criteria of producing official statistics” of the Official Statistics Act.
Data are collected and processed on the basis of ESA 2010 methodology. Time-series data is organised and appropriately maintained.
Estonian Insurance Association
Since 1996, Statistics Estonia has conducted reputation and user satisfaction surveys. All results are available on the website of Statistics Estonia in the section User surveys.
Accounting of the financial sector corresponds to the requirements of ESA 2010.
The data revision policy and notification of corrections are described in the section Principles of dissemination of official statistics of the website of Statistics Estonia.
The published data may be revised if the methodology is modified, errors are discovered, new or better data become available.
The population includes 19 objects. All objects have been observed.
DATA FROM OTHER STATISTICAL ACTIVITIES
Data are collected and the submission of questionnaires is monitored through eSTAT (the web channel for electronic data submission). The questionnaires have been designed for independent completion in eSTAT and include instructions and controls. The questionnaires and information about data submission are available on the website of Statistics Estonia in the section Questionnaires.
Data are collected with the monthly statistical questionnaire “Insurance”.
Arithmetic and qualitative controls are used in the validation process, including comparison with the data of previous periods and other surveys.
In case of missing or unreliable data, missing values are imputed according to set rules. Variables and statistical units which were not collected but which are necessary for producing output are calculated. New variables are calculated by applying arithmetic conversion to already existing variables. This may be done repeatedly; the derived variable may, in turn, be based on previously derived variables. Microdata are aggregated to the level necessary for analysis. This includes summation of data according to the classification and calculating various statistical measures, e.g. average, median, dispersion, etc. The collected data are converted into statistical output. This includes calculating additional variables.