Transfer dependency method 2, Ratio of net transfers to own revenue in Indonesia
Indonesia: Transfer dependency method 2, Ratio of net transfers to own revenue was -0.5032 in 2020. ▼ Falling
Transfer dependency method 2, Ratio of net transfers to own revenue in Indonesia, 2008–2020
Source: International Monetary Fund.
Analysis
Indonesia recorded -0.5032 for transfer dependency method 2, ratio of net transfers to own revenue in 2020. That is the lowest value across all 13 years on record.
Compared with earlier readings it is down 20.7% on the previous year and down 46.0% over ten years.
Over the whole period, transfer dependency method 2, ratio of net transfers to own revenue in Indonesia peaked at -0.2965 in 2008 and was at its lowest, -0.5032, in 2020.
Indonesia ranks 52nd of 66 countries on this measure, in the bottom quarter.
The long-run direction has been consistently falling across the 13 years of available data.
Transfer dependency method 2, Ratio of net transfers to own revenue in Indonesia, year by year
| Year | Value | Change |
|---|---|---|
| 2008 | -0.2965 | — |
| 2009 | -0.3624 | +22.2% |
| 2010 | -0.3448 | -4.9% |
| 2011 | -0.3375 | -2.1% |
| 2012 | -0.3568 | +5.7% |
| 2013 | -0.3548 | -0.5% |
| 2014 | -0.3691 | +4.0% |
| 2015 | -0.412 | +11.6% |
| 2016 | -0.4581 | +11.2% |
| 2017 | -0.4488 | -2.0% |
| 2018 | -0.3894 | -13.2% |
| 2019 | -0.417 | +7.1% |
| 2020 | -0.5032 | +20.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | -0.3294 | -0.3624 | -0.2965 | 2 |
| 2010s | -0.3888 | -0.4581 | -0.3375 | 10 |
| 2020s | -0.5032 | -0.5032 | -0.5032 | 1 |
Countries ranked near Indonesia
More public sector data for Indonesia
- Arms imports 186.00 million SIPRI trend indicator values (2024)
- Arms imports (SIPRI trend indicator values), per capita 0.6561 SIPRI trend indicator values per person (2024)
- Arms imports (SIPRI trend indicator values), per unit of GDP 0.0001 SIPRI trend indicator values per US$ of GDP (2024)
- Arms imports (SIPRI trend indicator values), annual growth rate -52.31 % change on previous year (2024)
- Arms imports (SIPRI trend indicator values), gaps filled 186.00 million SIPRI trend indicator values (2024)
- Military expenditure (current USD), per capita 38.95 current USD per person (2024)
- Military expenditure (current USD), per unit of GDP 0.0079 current USD per US$ of GDP (2024)
- Military expenditure (current USD), annual growth rate -1.92 % change on previous year (2024)
- Military expenditure (current USD), gaps filled 11.04 billion current USD (2024)
- Arms imports (SIPRI trend indicator values), per square kilometre 206.07 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 Indonesia?
- Transfer dependency method 2, ratio of net transfers to own revenue in Indonesia was -0.5032 in 2020, according to International Monetary Fund.
- What is the highest transfer dependency method 2, ratio of net transfers to own revenue recorded in Indonesia?
- The highest recorded value was -0.2965 in 2008.
- What is the lowest transfer dependency method 2, ratio of net transfers to own revenue recorded in Indonesia?
- The lowest recorded value was -0.5032 in 2020.
- How does Indonesia rank for transfer dependency method 2, ratio of net transfers to own revenue?
- Indonesia ranks 52nd out of 66 countries with data for 2020.
- Is transfer dependency method 2, ratio of net transfers to own revenue rising or falling in Indonesia?
- Over the last ten years it is down 46.0%. The long-run trend across the full record is falling.
- Where does this Indonesia 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.