Transfer dependency method 2, Ratio of net transfers to own revenue in Chile
Chile: Transfer dependency method 2, Ratio of net transfers to own revenue was -0.1028 in 2020. ▼ Falling
Transfer dependency method 2, Ratio of net transfers to own revenue in Chile, 2005–2020
Source: International Monetary Fund.
Analysis
Chile recorded -0.1028 for transfer dependency method 2, ratio of net transfers to own revenue in 2020. That is the lowest value across all 16 years on record.
Compared with earlier readings it is down 4.8% on the previous year and down 74.6% over ten years.
Over the whole period, transfer dependency method 2, ratio of net transfers to own revenue in Chile peaked at -0.0269 in 2007 and was at its lowest, -0.1028, in 2020.
Chile ranks 19th of 66 countries on this measure, in the middle of the range.
The long-run direction has been consistently falling across the 16 years of available data.
Transfer dependency method 2, Ratio of net transfers to own revenue in Chile, year by year
| Year | Value | Change |
|---|---|---|
| 2005 | -0.036 | — |
| 2006 | -0.0295 | -18.1% |
| 2007 | -0.0269 | -8.9% |
| 2008 | -0.027 | +0.3% |
| 2009 | -0.044 | +63.2% |
| 2010 | -0.0589 | +33.7% |
| 2011 | -0.0539 | -8.4% |
| 2012 | -0.0648 | +20.0% |
| 2013 | -0.0731 | +12.9% |
| 2014 | -0.0851 | +16.4% |
| 2015 | -0.0845 | -0.8% |
| 2016 | -0.0913 | +8.1% |
| 2017 | -0.0926 | +1.4% |
| 2018 | -0.093 | +0.4% |
| 2019 | -0.0981 | +5.5% |
| 2020 | -0.1028 | +4.8% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | -0.0327 | -0.044 | -0.0269 | 5 |
| 2010s | -0.0795 | -0.0981 | -0.0539 | 10 |
| 2020s | -0.1028 | -0.1028 | -0.1028 | 1 |
Countries ranked near Chile
More public sector data for Chile
- Arms imports 14.00 million SIPRI trend indicator values (2024)
- Arms imports (SIPRI trend indicator values), per capita 0.7083 SIPRI trend indicator values per person (2024)
- Arms imports (SIPRI trend indicator values), per unit of GDP 0 SIPRI trend indicator values per US$ of GDP (2024)
- Arms imports (SIPRI trend indicator values), annual growth rate 55.56 % change on previous year (2024)
- Arms imports (SIPRI trend indicator values), gaps filled 14.00 million SIPRI trend indicator values (2024)
- Military expenditure (current USD), per capita 258.31 current USD per person (2024)
- Military expenditure (current USD), per unit of GDP 0.0155 current USD per US$ of GDP (2024)
- Military expenditure (current USD), annual growth rate -6.67 % change on previous year (2024)
- Military expenditure (current USD), gaps filled 5.11 billion current USD (2024)
- Arms imports (SIPRI trend indicator values), per square kilometre 12.12 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 Chile?
- Transfer dependency method 2, ratio of net transfers to own revenue in Chile was -0.1028 in 2020, according to International Monetary Fund.
- What is the highest transfer dependency method 2, ratio of net transfers to own revenue recorded in Chile?
- The highest recorded value was -0.0269 in 2007.
- What is the lowest transfer dependency method 2, ratio of net transfers to own revenue recorded in Chile?
- The lowest recorded value was -0.1028 in 2020.
- How does Chile rank for transfer dependency method 2, ratio of net transfers to own revenue?
- Chile ranks 19th out of 66 countries with data for 2020.
- Is transfer dependency method 2, ratio of net transfers to own revenue rising or falling in Chile?
- Over the last ten years it is down 74.6%. The long-run trend across the full record is falling.
- Where does this Chile 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.