Joint Programming Initiative

More Years, Better Lives

The Potential and Challenges of Demographic Change

SotkaNET database
SotkaNET

Topic
Social Systems and Welfare
Work and Productivity
Relevance for this Topic
Country Finland
URL
More Topics

Governance

Contact information

Outi Räikkönen
THL
THL, P.O. Box 30,
FI-00271 Helsinki
Finland
Phone: +358 29 524 6000
Email: outi.raikkonen@thl.fi
Url: http://uusi.sotkanet.fi/portal/page/portal/etusivu

Timeliness, transparency


Type of data


Registry

Type of Study


Data are collected on an annual basis.

Data gathering method

Registries


interviews, postal questionnaires

Type of data


Registry

Type of Study


Data are collected on an annual basis.

Data gathering method

Registries


interviews, postal questionnaires


Access to data


The Sotkanet database is maintained by THL. Website user interface (http://uusi.sotkanet.fi/portal/page/portal/etusivu).

Conditions of access


Survey & register

Access to data


The Sotkanet database is maintained by THL. Website user interface (http://uusi.sotkanet.fi/portal/page/portal/etusivu).

Conditions of access


Survey & register


Coverage


Data collection is ongoing since 1990. Data are collected on an annual basis.


1990


Finnish municipalities


The SOTKAnet Indicator Bank is a National Institute for Health and Welfare (THL) information service that offers key population welfare and health data from 1990 onwards on all Finnish municipalities, based on the current administrative division into municipalities. It allows the user to search for indicator data concerning different geographical areas in absolute numbers and percentages. SotkaNET database (THL) provides data on demographic variables and healthcare provision at regional level as well as epidemiological key themes (e.g. life expectancy, mortality, cancer incidence, self-reported health). A large selection of indicators are available and calculated according to regional (e.g. hospital districts, municipalities) entities and in time-series. Dataset includes data on: -          frequency of consultations of primary care physicians and other personnel -          hospital discharges and bed-days -          the use of long-term care including average length of stay -          health care costs (total) divided by specialised and primary care -          population characteristics (incl living conditions, habits and some aggregated socioeconomic variables)

Coverage


Data collection is ongoing since 1990. Data are collected on an annual basis.


1990


Finnish municipalities


The SOTKAnet Indicator Bank is a National Institute for Health and Welfare (THL) information service that offers key population welfare and health data from 1990 onwards on all Finnish municipalities, based on the current administrative division into municipalities. It allows the user to search for indicator data concerning different geographical areas in absolute numbers and percentages. SotkaNET database (THL) provides data on demographic variables and healthcare provision at regional level as well as epidemiological key themes (e.g. life expectancy, mortality, cancer incidence, self-reported health). A large selection of indicators are available and calculated according to regional (e.g. hospital districts, municipalities) entities and in time-series. Dataset includes data on: - frequency of consultations of primary care physicians and other personnel - hospital discharges and bed-days - the use of long-term care including average length of stay - health care costs (total) divided by specialised and primary care - population characteristics (incl living conditions, habits and some aggregated socioeconomic variables)


Linkage


Cannot be linked since there are no access to individual level data.

Linkage


Cannot be linked since there are no access to individual level data.


Data quality


The data quality is relatively good in most of the indicators.


The data quality is relatively good in most of the indicators.


The data quality is relatively good in most of the indicators.

Data quality


The data quality is relatively good in most of the indicators.


The data quality is relatively good in most of the indicators.


The data quality is relatively good in most of the indicators.


Applicability


The dataset provides only aggregated data which can be used on regional level modeling.

Applicability


The dataset provides only aggregated data which can be used on regional level modeling.


  • The information about this dataset was compiled by the author:
  • Pasi Moisio
  • (see Partners)