Use of interpolation and extrapolation on original Gini coefficient data in Malaysia
Malaysia: Use of interpolation and extrapolation on original Gini coefficient data was 24,041 in 2017. ◆ Volatile
Use of interpolation and extrapolation on original Gini coefficient data in Malaysia, 1820–2017
Source: Various sources (2020) – processed by Our World in Data.
Analysis
In 2017, use of interpolation and extrapolation on original gini coefficient data in Malaysia stood at 24,041. That is the highest value across all 15 years on record.
The figure is up 53.6% over ten years.
Over the whole period, use of interpolation and extrapolation on original gini coefficient data in Malaysia peaked at 24,041 in 2017 and was at its lowest, 890.4, in 1890.
Malaysia ranks 45th of 160 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1820s | 961 | 961 | 961 | 1 |
| 1850s | 1,016 | 1,016 | 1,016 | 1 |
| 1870s | 1,055 | 1,055 | 1,055 | 1 |
| 1890s | 890.4 | 890.4 | 890.4 | 1 |
| 1910s | 1,074 | 1,074 | 1,074 | 1 |
| 1920s | 3,220 | 3,220 | 3,220 | 1 |
| 1950s | 2,485 | 2,485 | 2,485 | 1 |
| 1960s | 2,439 | 2,439 | 2,439 | 1 |
| 1970s | 3,314 | 3,314 | 3,314 | 1 |
| 1980s | 5,829 | 5,829 | 5,829 | 1 |
| 1990s | 8,179 | 8,179 | 8,179 | 1 |
| 2000s | 14,563 | 13,475 | 15,651 | 2 |
| 2010s | 21,308 | 18,574 | 24,041 | 2 |
Countries ranked near Malaysia
More poverty & inequality data for Malaysia
- Number of income/consumption surveys in the past decade available via the World Bank 2 surveys (2025)
- Fertility rate vs. share living in extreme poverty 1.55 live births per woman (2023)
- Cereal yield vs. share in extreme poverty 3,524 kg per hectare (2023)
- Tax revenue as share of GDP vs. income inequality 12.6% (2023)
- Gender Inequality Index 0.172 (2023)
- Share of government consumption in GDP vs. share of population living in extreme poverty 12.5% (2023)
- Lifespan inequality: Gini coefficient in women 0.1011 (2023)
- Lifespan inequality: Gini coefficient by sex 0.1011 (2023)
- Lifespan inequality: Gini coefficient in men 0.1209 (2023)
- Income inequality: Atkinson index 0.2476 (2023)
Frequently asked questions
- What is use of interpolation and extrapolation on original gini coefficient data in Malaysia?
- Use of interpolation and extrapolation on original gini coefficient data in Malaysia was 24,041 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 Malaysia?
- The highest recorded value was 24,041 in 2017.
- What is the lowest use of interpolation and extrapolation on original gini coefficient data recorded in Malaysia?
- The lowest recorded value was 890.4 in 1890.
- How does Malaysia rank for use of interpolation and extrapolation on original gini coefficient data?
- Malaysia ranks 45th out of 160 countries with data for 2017.
- Is use of interpolation and extrapolation on original gini coefficient data rising or falling in Malaysia?
- Over the last ten years it is up 53.6%. The long-run trend across the full record is volatile.
- Where does this Malaysia 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.