Early-demographic dividend vs Lithuania: Households and NPISHs Final consumption expenditure per capita, PPP
Households and NPISHs Final consumption expenditure per capita, PPP over time
- Early-demographic dividend
- Lithuania
How they compare
Lithuania currently reports 28,961 current international $ against 8,752 current international $ in Early-demographic dividend, a difference of 20,209 current international $.
That makes Lithuania's figure about 3.3 times Early-demographic dividend's.
Across all 31 years both countries report, Lithuania has been ahead every year.
Early-demographic dividend ranks 27th and Lithuania ranks 30th of 43 groups.
Lithuania has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Early-demographic dividend | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 1,877 current international $ | 3,985 current international $ | 2,108 current international $ | Lithuania |
| 2000s | 2,795 current international $ | 8,282 current international $ | 5,487 current international $ | Lithuania |
| 2010s | 4,788 current international $ | 15,773 current international $ | 10,985 current international $ | Lithuania |
| 2020s | 7,318 current international $ | 25,625 current international $ | 18,307 current international $ | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher households and npishs final consumption expenditure per capita, ppp, Early-demographic dividend or Lithuania?
- Lithuania, at 28,961 current international $ against 8,752 current international $ in Early-demographic dividend as of 2025.
- What is the difference in households and npishs final consumption expenditure per capita, ppp between Early-demographic dividend and Lithuania?
- 20,209 current international $, with Lithuania ahead.
- How many years of comparable data are there for Early-demographic dividend and Lithuania?
- 31 years are reported by both, from 1995 to 2025.
- How do Early-demographic dividend and Lithuania rank globally for households and npishs final consumption expenditure per capita, ppp?
- Early-demographic dividend ranks 27th and Lithuania ranks 30th of 43 groups.
- Where does this data come from?
- International Comparison Program (ICP), World Bank (WB), note: This information is for PPP conversion factors., publisher: International Comparison Program (ICP), date published: May 30, 2024, published as Households and NPISHs Final consumption expenditure per capita, PPP (current international $). Statizoid refreshes it automatically from the source and publishes the full history for both places.
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About this data
This indicator provides values for final consumption expenditure per person expressed in current international dollars, converted by purchasing power parities (PPPs). PPPs account for the different price levels across countries and thus PPP-based comparisons of economic output are more appropriate for comparing the output of economies and the average material well-being of their inhabitants than exchange-rate based comparisons. Households and NPISHs final consumption expenditure includes expenditure on goods and services by the Household and NPISH sector for the direct satisfaction of human needs or wants, whether individual or collective. This series has been linked to produce a consistent time series to counteract breaks in series over time due to changes in base years, source data and methodologies. Thus, it may not be comparable with other national accounts series in the database for historical years. The core indicator has been divided by the general population to achieve a per capita estimate. This indicator is expressed in current prices, meaning no adjustment has been made to account for price changes over time. The PPP conversion factor is a currency conversion factor and a spatial price deflator. PPPs convert different currencies to a common currency and, in the process of conversion, equalize their purchasing power by eliminating the differences in price levels between countries, thereby allowing volume or output comparisons of GDP and its expenditure components.