Transfer dependency method 2, Ratio of net transfers to own revenue in Lithuania
Lithuania: Transfer dependency method 2, Ratio of net transfers to own revenue was -0.4449 in 2020. ▼ Falling
Transfer dependency method 2, Ratio of net transfers to own revenue in Lithuania, 2010–2020
Source: International Monetary Fund.
Analysis
The most recent figure for transfer dependency method 2, ratio of net transfers to own revenue in Lithuania is -0.4449, measured in 2020.
The figure is down 30.4% on the previous year and down 62.0% over ten years.
Over the whole period, transfer dependency method 2, ratio of net transfers to own revenue in Lithuania peaked at -0.1913 in 2014 and was at its lowest, -0.6647, in 2018.
That places Lithuania 47th out of 66 countries with data for 2020, putting it in the middle of the range.
The long-run direction has been consistently falling across the 11 years of available data.
Transfer dependency method 2, Ratio of net transfers to own revenue in Lithuania, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | -0.2746 | — |
| 2011 | -0.2224 | -19.0% |
| 2012 | -0.2207 | -0.8% |
| 2013 | -0.1996 | -9.6% |
| 2014 | -0.1913 | -4.1% |
| 2015 | -0.2072 | +8.3% |
| 2016 | -0.232 | +12.0% |
| 2017 | -0.2306 | -0.6% |
| 2018 | -0.6647 | +188.3% |
| 2019 | -0.3412 | -48.7% |
| 2020 | -0.4449 | +30.4% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | -0.2784 | -0.6647 | -0.1913 | 10 |
| 2020s | -0.4449 | -0.4449 | -0.4449 | 1 |
Countries ranked near Lithuania
More public sector data for Lithuania
- Arms imports 51.00 million SIPRI trend indicator values (2024)
- Arms imports (SIPRI trend indicator values), per capita 17.66 SIPRI trend indicator values per person (2024)
- Arms imports (SIPRI trend indicator values), per unit of GDP 0.0006 SIPRI trend indicator values per US$ of GDP (2024)
- Arms imports (SIPRI trend indicator values), annual growth rate -54.05 % change on previous year (2024)
- Arms imports (SIPRI trend indicator values), gaps filled 51.00 million SIPRI trend indicator values (2024)
- Military expenditure (current USD), per capita 909.7 current USD per person (2024)
- Military expenditure (current USD), per unit of GDP 0.0307 current USD per US$ of GDP (2024)
- Military expenditure (current USD), annual growth rate 21.48 % change on previous year (2024)
- Military expenditure (current USD), gaps filled 2.63 billion current USD (2024)
- Arms imports (SIPRI trend indicator values), per square kilometre 1,773 SIPRI trend indicator values per square kilometre (2023)
Frequently asked questions
- What is transfer dependency method 2, ratio of net transfers to own revenue in Lithuania?
- Transfer dependency method 2, ratio of net transfers to own revenue in Lithuania was -0.4449 in 2020, according to International Monetary Fund.
- What is the highest transfer dependency method 2, ratio of net transfers to own revenue recorded in Lithuania?
- The highest recorded value was -0.1913 in 2014.
- What is the lowest transfer dependency method 2, ratio of net transfers to own revenue recorded in Lithuania?
- The lowest recorded value was -0.6647 in 2018.
- How does Lithuania rank for transfer dependency method 2, ratio of net transfers to own revenue?
- Lithuania ranks 47th out of 66 countries with data for 2020.
- Is transfer dependency method 2, ratio of net transfers to own revenue rising or falling in Lithuania?
- Over the last ten years it is down 62.0%. The long-run trend across the full record is falling.
- Where does this Lithuania data come from?
- The figures come from International Monetary Fund, published as part of Transfer dependency method 2, Ratio of net transfers to own revenue, Percent (Central government). Statizoid updates them automatically from the source API.
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About this data
The Fiscal Decentralization dataset includes fiscal decentralization indicators for a sample of IMF member countries. The following indicators are included in the dataset: Revenue and Expenditure Decentralization Shares; Transfer dependency and Vertical Fiscal Imbalances; Deficit and Debt; Allocation of expenditure (economic classification); Allocation of expenditure (functional classification); Allocation of non-Tax Revenues; and Allocation of Taxes.