Use of interpolation and extrapolation on gini data in Sao Tome and Principe
Sao Tome and Principe: Use of interpolation and extrapolation on gini data was 3,721 in 2017. ▲ Rising
Use of interpolation and extrapolation on gini data in Sao Tome and Principe, 1820–2017
Source: Our World in Data.
Analysis
The most recent figure for use of interpolation and extrapolation on gini data in Sao Tome and Principe is 3,721, measured in 2017. That is the highest value across all 15 years on record.
The figure is up 46.9% over ten years.
Over the whole period, use of interpolation and extrapolation on gini data in Sao Tome and Principe peaked at 3,721 in 2017 and was at its lowest, 570.66, in 1929.
That places Sao Tome and Principe 122nd out of 160 countries with data for 2017, putting it in the bottom quarter.
The long-run direction has been consistently rising across the 15 years of available data.
Use of interpolation and extrapolation on gini data in Sao Tome and Principe, year by year
| Year | Value | Change |
|---|---|---|
| 1820 | 1,655 | — |
| 1850 | 1,452 | -12.3% |
| 1870 | 1,792 | +23.4% |
| 1890 | 1,844 | +2.9% |
| 1910 | 2,005 | +8.7% |
| 1929 | 570.66 | -71.5% |
| 1950 | 1,278 | +124.0% |
| 1960 | 1,352 | +5.8% |
| 1970 | 2,243 | +65.9% |
| 1980 | 3,182 | +41.9% |
| 1990 | 2,217 | -30.3% |
| 2000 | 2,219 | +0.1% |
| 2005 | 2,533 | +14.2% |
| 2010 | 3,093 | +22.1% |
| 2017 | 3,721 | +20.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1820s | 1,655 | 1,655 | 1,655 | 1 |
| 1850s | 1,452 | 1,452 | 1,452 | 1 |
| 1870s | 1,792 | 1,792 | 1,792 | 1 |
| 1890s | 1,844 | 1,844 | 1,844 | 1 |
| 1910s | 2,005 | 2,005 | 2,005 | 1 |
| 1920s | 570.66 | 570.66 | 570.66 | 1 |
| 1950s | 1,278 | 1,278 | 1,278 | 1 |
| 1960s | 1,352 | 1,352 | 1,352 | 1 |
| 1970s | 2,243 | 2,243 | 2,243 | 1 |
| 1980s | 3,182 | 3,182 | 3,182 | 1 |
| 1990s | 2,217 | 2,217 | 2,217 | 1 |
| 2000s | 2,376 | 2,219 | 2,533 | 2 |
| 2010s | 3,407 | 3,093 | 3,721 | 2 |
Countries ranked near Sao Tome and Principe
- 119 Tajikistan 4,205 compare
- 120 Ghana 4,104 compare
- 121 Bangladesh 3,837 compare
- 123 Côte d'Ivoire 3,559 compare
- 124 Zambia 3,498 compare
- 125 Mauritania 3,431 compare
More poverty & inequality data for Sao Tome and Principe
- Data deprivation poverty surveys per decade 1 (2025)
- Fertility rate vs the share living in extreme poverty 3.64 (2023)
- Cereal yield vs extreme poverty 2,004 (2023)
- Cereal yield vs extreme poverty, per unit of GDP 0 units per US$ of GDP (2023)
- Cereal yield vs extreme poverty, annual growth rate -0.02 % change on previous year (2023)
- Tax revenues vs income inequality, gaps filled 11.48 (2023)
- Tax revenues vs income inequality 11.48 (2023)
- Tax revenues vs income inequality, per unit of GDP 0 units per US$ of GDP (2023)
- Tax revenues vs income inequality, annual growth rate 8.11 % change on previous year (2023)
- Gender inequality index from the human development report 0.492 (2023)
Frequently asked questions
- What is use of interpolation and extrapolation on gini data in Sao Tome and Principe?
- Use of interpolation and extrapolation on gini data in Sao Tome and Principe was 3,721 in 2017, according to Our World in Data.
- What is the highest use of interpolation and extrapolation on gini data recorded in Sao Tome and Principe?
- The highest recorded value was 3,721 in 2017.
- What is the lowest use of interpolation and extrapolation on gini data recorded in Sao Tome and Principe?
- The lowest recorded value was 570.66 in 1929.
- How does Sao Tome and Principe rank for use of interpolation and extrapolation on gini data?
- Sao Tome and Principe ranks 122nd out of 160 countries with data for 2017.
- Is use of interpolation and extrapolation on gini data rising or falling in Sao Tome and Principe?
- Over the last ten years it is up 46.9%. The long-run trend across the full record is rising.
- Where does this Sao Tome and Principe data come from?
- The figures come from Our World in Data, published as part of Use of interpolation and extrapolation on gini data. Statizoid updates them automatically from the source API.
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