Lithuania - Out-of-pocket expenditure per capita (current US$)

The latest value for Out-of-pocket expenditure per capita (current US$) in Lithuania was 442.10 as of 2019. Over the past 19 years, the value for this indicator has fluctuated between 442.10 in 2019 and 58.97 in 2000.

Definition: Health expenditure through out-of-pocket payments per capita in USD. Out of pocket payments are spending on health directly out of pocket by households in each country.

Source: World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).

See also:

Year Value
2000 58.97
2001 60.36
2002 65.12
2003 81.94
2004 120.80
2005 143.88
2006 170.76
2007 200.05
2008 263.85
2009 231.90
2010 222.17
2011 261.18
2012 285.23
2013 314.73
2014 321.61
2015 292.97
2016 319.46
2017 353.04
2018 393.64
2019 442.10

Development Relevance: Strengthening health financing is one objective of Sustainable Development Goal 3 (SDG target 3.c). The levels and trends of health expenditure data identify key issues such as weaknesses and strengths and areas that need investment, for instance additional health facilities, better health information systems, or better trained human resources. Health financing is also critical for reaching universal health coverage (UHC) defined as all people obtaining the quality health services they need without suffering financial hardship (SDG 3.8). The data on out-of-pocket spending is a key indicator with regard to financial protection and hence of progress towards UHC.

Original Source Notes: The World Health Organization (WHO) has revised health expenditure data using the new international classification for health expenditures in the revised System of Health Accounts (SHA 2011). WHO’s Global Health Expenditure Database in this new version i

Statistical Concept and Methodology: The health expenditure estimates have been prepared by the World Health Organization under the framework of the System of Health Accounts 2011 (SHA 2011). The Health SHA 2011 tracks all health spending in a given country over a defined period of time regardless of the entity or institution that financed and managed that spending. It generates consistent and comprehensive data on health spending in a country, which in turn can contribute to evidence-based policy-making.

Aggregation method: Weighted average

Periodicity: Annual

Classification

Topic: Health Indicators

Sub-Topic: Health systems