Transfer dependency method 2, Ratio of net transfers to own revenue in Serbia
Serbia: Transfer dependency method 2, Ratio of net transfers to own revenue was -0.4928 in 2020. ▼ Falling
Transfer dependency method 2, Ratio of net transfers to own revenue in Serbia, 2007–2020
Source: International Monetary Fund.
Analysis
The most recent figure for transfer dependency method 2, ratio of net transfers to own revenue in Serbia is -0.4928, measured in 2020.
Compared with earlier readings it is down 31.1% on the previous year and down 22.0% over ten years.
Over the whole period, transfer dependency method 2, ratio of net transfers to own revenue in Serbia peaked at -0.3092 in 2007 and was at its lowest, -0.6336, in 2013.
That places Serbia 51st out of 66 countries with data for 2020, putting it in the bottom quarter.
The long-run direction has been consistently falling across the 14 years of available data.
Transfer dependency method 2, Ratio of net transfers to own revenue in Serbia, year by year
| Year | Value | Change |
|---|---|---|
| 2007 | -0.3092 | — |
| 2008 | -0.3476 | +12.4% |
| 2009 | -0.4294 | +23.5% |
| 2010 | -0.4038 | -6.0% |
| 2011 | -0.4099 | +1.5% |
| 2012 | -0.4497 | +9.7% |
| 2013 | -0.6336 | +40.9% |
| 2014 | -0.5872 | -7.3% |
| 2015 | -0.5038 | -14.2% |
| 2016 | -0.4614 | -8.4% |
| 2017 | -0.4253 | -7.8% |
| 2018 | -0.4087 | -3.9% |
| 2019 | -0.3759 | -8.0% |
| 2020 | -0.4928 | +31.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | -0.3621 | -0.4294 | -0.3092 | 3 |
| 2010s | -0.4659 | -0.6336 | -0.3759 | 10 |
| 2020s | -0.4928 | -0.4928 | -0.4928 | 1 |
Countries ranked near Serbia
More public sector data for Serbia
- Arms imports 153.00 million SIPRI trend indicator values (2024)
- Arms imports (SIPRI trend indicator values), per capita 23.23 SIPRI trend indicator values per person (2024)
- Arms imports (SIPRI trend indicator values), per unit of GDP 0.0017 SIPRI trend indicator values per US$ of GDP (2024)
- Arms imports (SIPRI trend indicator values), annual growth rate -63.48 % change on previous year (2024)
- Arms imports (SIPRI trend indicator values), gaps filled 153.00 million SIPRI trend indicator values (2024)
- Military expenditure (current USD), per capita 352.67 current USD per person (2024)
- Military expenditure (current USD), per unit of GDP 0.0258 current USD per US$ of GDP (2024)
- Military expenditure (current USD), annual growth rate 29.27 % change on previous year (2024)
- Military expenditure (current USD), gaps filled 2.32 billion current USD (2024)
- Arms imports (SIPRI trend indicator values), per square kilometre 4,983 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 Serbia?
- Transfer dependency method 2, ratio of net transfers to own revenue in Serbia was -0.4928 in 2020, according to International Monetary Fund.
- What is the highest transfer dependency method 2, ratio of net transfers to own revenue recorded in Serbia?
- The highest recorded value was -0.3092 in 2007.
- What is the lowest transfer dependency method 2, ratio of net transfers to own revenue recorded in Serbia?
- The lowest recorded value was -0.6336 in 2013.
- How does Serbia rank for transfer dependency method 2, ratio of net transfers to own revenue?
- Serbia ranks 51st out of 66 countries with data for 2020.
- Is transfer dependency method 2, ratio of net transfers to own revenue rising or falling in Serbia?
- Over the last ten years it is down 22.0%. The long-run trend across the full record is falling.
- Where does this Serbia 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.