Arab World vs Sri Lanka: Households and NPISHs Final consumption expenditure per capita growth
Households and NPISHs Final consumption expenditure per capita growth over time
- Arab World
- Sri Lanka
How they compare
Sri Lanka currently reports 7.0% against 3.2% in Arab World, a difference of 3.8%.
That makes Sri Lanka's figure about 2.2 times Arab World's.
The two have swapped places 4 times across 10 shared years of data; in 2016 it was Sri Lanka ahead.
Arab World ranks 16th and Sri Lanka ranks 15th of 42 groups.
Across the 2 decades both report, Arab World averaged higher in 1 and Sri Lanka in 1.
Head to head by decade
| Decade | Arab World | Sri Lanka | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.8% | 1.7% | 0.9% | Sri Lanka |
| 2020s | 1.6% | 1.4% | 0.2% | Arab World |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher households and npishs final consumption expenditure per capita growth, Arab World or Sri Lanka?
- Sri Lanka, at 7.0% against 3.2% in Arab World as of 2025.
- What is the difference in households and npishs final consumption expenditure per capita growth between Arab World and Sri Lanka?
- 3.8%, with Sri Lanka ahead.
- How many years of comparable data are there for Arab World and Sri Lanka?
- 10 years are reported by both, from 2016 to 2025.
- How do Arab World and Sri Lanka rank globally for households and npishs final consumption expenditure per capita growth?
- Arab World ranks 16th and Sri Lanka ranks 15th of 42 groups.
- 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.
Individual pages
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.