To the Top
Data visualization
Release Calendar 2026
Health statistics glossary
OECD database: health
Eurostat database
WHO Health for All databases
The 3 steps are Choose table, Choose variable and Show result. You are currently at Choose variable

RA131: Treatment cases of insured people in Estonia from European countries by health care personnel education-based speciality and patient' sex

Choose variables

4/27/2026
Number
Estonian Health Insurance Fund, https://tervisekassa.ee/en
RA131
Detailed information
raelinfo_en
Now you have come to the page, Choose variable. This page give you the oportunity to select which variables and values you want to display in your result of the table. A variable is a property of a statistical unit. The page is divided into several boxes, one for each variable, where you can select values by click to highlight one or more values. It always starts with the statistics variable which is the main value counted in the table.
Mark your selections and choose between table on screen and file format. Marking tips
Field for searching for a specific value in the list box. This is examples of values you can search for.Total , Physicians , ..Allergologists-immunologists ,

Selected 0 of total 88

Selected 0 of total 6

Selected 0 of total 4

Number of selected data cells are:
(maximum number allowed is 800,000)

Presentation on screen is limited to 6,000 rows and 80 columns

Number of selected cells exceeds the maximum allowed 800,000

Obs:

Definitions and methodology Statistics of treatment cases of Europeans in Estonia take into account the data of 36 countries of the European region: Austria, Belgium, Bulgaria, Spain, Netherlands, Croatia, Ireland, Iceland, Italy, Greece, Cyprus, Lithuania, Liechtenstein, Luxembourg, Latvia, Malta, Norway, Poland, Portugal, France, Sweden, Romania, Slovakia, Slovenia, Finland, Great Britain, Switzerland, Denmark, Czech Republic and Hungary, Albania, Bosnia and Herzegovina, Moldova, Ukraine and Belarus. 23.04.2025 updated table structure.
The dataset contains an overview of treatment cases in Estonia for insured persons from European countries by health care professional occupation/specialty and patient sex. Data are presented by occupation/specialty and sex (including “sex unknown”). The dataset enables monitoring which professional specialties are more frequently associated with cross-border treatment cases and how this changes over time, supporting monitoring of service organisation and division of labour. The purpose of collecting data on cross-border treatment cases is to ensure a systematic overview of their distribution from the health care professional specialty perspective, in order to support health service planning and assessment of resource use. Data source: Estonian Health Insurance Fund