Use of interpolation and extrapolation on original Gini coefficient data in Nepal
Nepal: Use of interpolation and extrapolation on original Gini coefficient data was 2,600 in 2017. ▲ Rising
Use of interpolation and extrapolation on original Gini coefficient data in Nepal, 1820–2017
Source: Various sources (2020) – processed by Our World in Data.
Analysis
The most recent figure for use of interpolation and extrapolation on original gini coefficient data in Nepal is 2,600, measured in 2017. That is the highest value across all 15 years on record.
That represents a change of up 41.6% over ten years.
Over the whole period, use of interpolation and extrapolation on original gini coefficient data in Nepal peaked at 2,600 in 2017 and was at its lowest, 641, in 1820.
Nepal ranks 133rd of 160 countries on this measure, in the bottom quarter.
The long-run direction has been consistently rising across the 15 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1820s | 641 | 641 | 641 | 1 |
| 1850s | 641 | 641 | 641 | 1 |
| 1870s | 641 | 641 | 641 | 1 |
| 1890s | 738.86 | 738.86 | 738.86 | 1 |
| 1910s | 851.65 | 851.65 | 851.65 | 1 |
| 1920s | 839.91 | 839.91 | 839.91 | 1 |
| 1950s | 802 | 802 | 802 | 1 |
| 1960s | 980 | 980 | 980 | 1 |
| 1970s | 1,055 | 1,055 | 1,055 | 1 |
| 1980s | 1,057 | 1,057 | 1,057 | 1 |
| 1990s | 1,315 | 1,315 | 1,315 | 1 |
| 2000s | 1,756 | 1,677 | 1,836 | 2 |
| 2010s | 2,376 | 2,152 | 2,600 | 2 |
Countries ranked near Nepal
More poverty & inequality data for Nepal
- Number of income/consumption surveys in the past decade available via the World Bank 1 surveys (2025)
- Fertility rate vs. share living in extreme poverty 1.98 live births per woman (2023)
- Cereal yield vs. share in extreme poverty 3,344 kg per hectare (2023)
- Tax revenue as share of GDP vs. income inequality 17.7% (2023)
- Gender Inequality Index 0.487 (2023)
- Share of government consumption in GDP vs. share of population living in extreme poverty 6.3% (2023)
- Lifespan inequality: Gini coefficient in women 0.1263 (2023)
- Lifespan inequality: Gini coefficient by sex 0.1263 (2023)
- Lifespan inequality: Gini coefficient in men 0.1385 (2023)
- Income inequality: Atkinson index 0.3191 (2023)
Frequently asked questions
- What is use of interpolation and extrapolation on original gini coefficient data in Nepal?
- Use of interpolation and extrapolation on original gini coefficient data in Nepal was 2,600 in 2017, according to Various sources (2020) – processed by Our World in Data.
- What is the highest use of interpolation and extrapolation on original gini coefficient data recorded in Nepal?
- The highest recorded value was 2,600 in 2017.
- What is the lowest use of interpolation and extrapolation on original gini coefficient data recorded in Nepal?
- The lowest recorded value was 641 in 1820.
- How does Nepal rank for use of interpolation and extrapolation on original gini coefficient data?
- Nepal ranks 133rd out of 160 countries with data for 2017.
- Is use of interpolation and extrapolation on original gini coefficient data rising or falling in Nepal?
- Over the last ten years it is up 41.6%. The long-run trend across the full record is rising.
- Where does this Nepal data come from?
- The figures come from Various sources (2020) – processed by Our World in Data, published as part of Use of interpolation and extrapolation on original Gini coefficient data. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 15 observations, free to reuse under CC BY 4.0 (Our World in Data).
About this data
In order to produce global estimates of historical poverty trends we have interpolated or extrapolated inequality data for missing observations. Green indicates observations of the Gini coefficient available in the original source.