Lithuania vs Peru: Households and NPISHs Final consumption expenditure per capita growth
Households and NPISHs Final consumption expenditure per capita growth over time
- Lithuania
- Peru
How they compare
Peru currently reports 2.2% against 2.1% in Lithuania, a difference of 0.1%.
That makes Peru's figure about 1.1 times Lithuania's.
The two have swapped places 5 times across 30 shared years of data; in 1996 it was Lithuania ahead.
Lithuania ranks 91st and Peru ranks 89th of 172 countries.
Lithuania has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Lithuania | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 6.0% | -1.2% | 7.2% | Lithuania |
| 2000s | 7.0% | 3.5% | 3.5% | Lithuania |
| 2010s | 4.0% | 3.9% | 0.1% | Lithuania |
| 2020s | 1.5% | 1.0% | 0.5% | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher households and npishs final consumption expenditure per capita growth, Lithuania or Peru?
- Peru, at 2.2% against 2.1% in Lithuania as of 2025.
- What is the difference in households and npishs final consumption expenditure per capita growth between Lithuania and Peru?
- 0.1%, with Peru ahead.
- How many years of comparable data are there for Lithuania and Peru?
- 30 years are reported by both, from 1996 to 2025.
- How do Lithuania and Peru rank globally for households and npishs final consumption expenditure per capita growth?
- Lithuania ranks 91st and Peru ranks 89th of 172 countries.
- Where does this data come from?
- Country official statistics, National Statistical Offices (NSOs), published as Households and NPISHs Final consumption expenditure per capita growth (annual %). Statizoid refreshes it automatically from the source and publishes the full history for both places.
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About this data
This field 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. The core indicator has been divided by the general population to achieve a per capita estimate.This indicator denotes the percentage change over each previous year of the constant price (base year 2015) series in United States dollars.