Domestic private health expenditure per capita, PPP (current international $) - Country Ranking - South America

Definition: Current private expenditures on health per capita expressed in international dollars at purchasing power parity (PPP).

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

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Chile 1,189.84 2019
2 Brazil 885.41 2019
3 Argentina 822.13 2019
4 Uruguay 771.47 2019
5 Paraguay 512.99 2019
6 Suriname 460.20 2019
7 Ecuador 356.29 2019
8 Colombia 338.59 2019
9 Peru 262.68 2019
10 Guyana 255.02 2019
11 Venezuela 207.32 2019
12 Bolivia 174.32 2019

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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