Albania's gini index was 29.4 in 2020, the latest year in the World Bank's World Development Indicators. That is down 10.37% from 32.8 in 2015 (2.16% a year on average, compounded).
Key figures
| Value | Year | |
|---|---|---|
| Latest | 29.4 | 2020 |
| Five years earlier | 32.8 | 2015 |
| Highest | 34.6 | 2014 |
| Lowest | 27 | 1996 |
| Average since 2012 | 31.6 | 2012–2020 |
| First recorded | 27 | 1996 |
Over five years it is down 10.37% from 32.8 in 2015 (2.16% a year on average, compounded). Since 1996 it is up 8.89% from 27 in 1996 (0.36% a year on average, compounded). The World Bank has no value for 13 of the years in between; the chart leaves those gaps open rather than joining across them.
What the numbers say
From 2012 to 2020 there is no clear straight-line trend: a straight line explains 8% of the movement over 8 observed years, so the value is moving around more than it is heading anywhere.
Worked out from the yearly values above. How the checks work: standard deviation, z-scores and straight-line trends.
Closest to Albania in the 2020 ranking
What this measures
Gini index measures the extent to which the distribution of income (or, in some cases, consumption expenditure) among individuals or households within an economy deviates from a perfectly equal distribution. A Lorenz curve plots the cumulative percentages of total income received against the cumulative number of recipients, starting with the poorest individual or household. The Gini index measures the area between the Lorenz curve and a hypothetical line of absolute equality, expressed as a percentage of the maximum area under the line. Thus a Gini index of 0 represents perfect equality, while an index of 100 implies perfect inequality.
Limitations: Gini coefficients are not unique. It is possible for two different Lorenz curves to give rise to the same Gini coefficient. Furthermore it is possible for the Gini coefficient of a developing country to rise (due to increasing inequality of income) while the number of people in absolute poverty decreases. This is because the Gini coefficient measures relative, not absolute, wealth. Another limitation of the Gini coefficient is that it is not additive across groups, i.e. the total Gini of a society is not equal to the sum of the Gini's for its sub-groups.
All 12 values
| Year | Gini index |
|---|---|
| 2020 | 29.4 |
| 2019 | 30.1 |
| 2018 | 30.1 |
| 2017 | 33.1 |
| 2016 | 33.7 |
| 2015 | 32.8 |
| 2014 | 34.6 |
| 2013 | no data |
| 2012 | 29 |
| 2011 | no data |
| 2010 | no data |
Gini index in nearby economies
More poverty data for Albania
- Income share held by second 20% — 13.2% (2020)
- Income share held by third 20% — 17.3% (2020)
- Income share held by fourth 20% — 23% (2020)
- Income share held by highest 20% — 38% (2020)
- Income share held by highest 10% — 22.8% (2020)
- Proportion of people living below 50 percent of median income (%) — 9.6% (2020)
- Income share held by lowest 10% — 3.4% (2020)
- Income share held by lowest 20% — 8.4% (2020)
- Poverty headcount ratio at $3.00 a day (2021 PPP) (% of population) — 0.3% (2020)
- Poverty gap at $3.00 a day (2021 PPP) (%)
Reading data like this
Questions people ask
- What is Albania's gini index?
- 29.4 in 2020, according to the World Bank (World Development Indicators).
- How has it changed since 1996?
- It is up 8.89% from 27 in 1996 (0.36% a year on average, compounded). The highest value was 34.6 in 2014 and the lowest 27 in 1996.
- Where does this data come from?
- The World Bank's World Development Indicators, licensed CC BY 4.0. Original source: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database..
Source
World Bank, World Development Indicators, indicator SI.POV.GINI, licensed CC BY 4.0. Original source: World Bank, Poverty and Inequality Platform. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are mostly from the Luxembourg Income Study database. Figures are fetched from the World Bank API and refreshed monthly; see the series on data.worldbank.org. The full definition and method are in the World Bank's metadata glossary. Comparisons use the same World Bank release.
Want to ask your own questions of data like this? Try AnalyzeIt: upload a file or ask about public data in plain words, and every figure comes with its working.
Legal entity
Devansh Yadav
Moradabad, Uttar Pradesh
Governing law: Courts at Moradabad, Uttar Pradesh
Phone: +91 8433475698
Legal: legal@analyzeit.in