Transfer dependency method 1, Ratio of net transfers to own spending in Afghanistan
Afghanistan: Transfer dependency method 1, Ratio of net transfers to own spending was 0.7329 in 2017. ▬ Flat
Transfer dependency method 1, Ratio of net transfers to own spending in Afghanistan, 2006–2017
Source: International Monetary Fund.
Analysis
Afghanistan recorded 0.7329 for transfer dependency method 1, ratio of net transfers to own spending in 2017.
That represents a change of down 4.1% on the previous year and down 0.9% over ten years.
Over the whole period, transfer dependency method 1, ratio of net transfers to own spending in Afghanistan peaked at 0.89 in 2013 and was at its lowest, 0.6485, in 2006.
Afghanistan ranks 1st of 64 countries on this measure, in the top 10%.
Transfer dependency method 1, Ratio of net transfers to own spending in Afghanistan, year by year
| Year | Value | Change |
|---|---|---|
| 2006 | 0.6485 | — |
| 2007 | 0.7399 | +14.1% |
| 2008 | 0.885 | +19.6% |
| 2009 | 0.8593 | -2.9% |
| 2010 | 0.8833 | +2.8% |
| 2011 | 0.8713 | -1.4% |
| 2012 | 0.8393 | -3.7% |
| 2013 | 0.89 | +6.0% |
| 2014 | 0.8244 | -7.4% |
| 2015 | 0.7981 | -3.2% |
| 2016 | 0.7646 | -4.2% |
| 2017 | 0.7329 | -4.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 0.7832 | 0.6485 | 0.885 | 4 |
| 2010s | 0.8255 | 0.7329 | 0.89 | 8 |
Countries ranked near Afghanistan
More public sector data for Afghanistan
- Arms imports 65.00 million SIPRI trend indicator values (2021)
- Arms imports (SIPRI trend indicator values), per capita 1.62 SIPRI trend indicator values per person (2021)
- Arms imports (SIPRI trend indicator values), per unit of GDP 0.0046 SIPRI trend indicator values per US$ of GDP (2021)
- Arms imports (SIPRI trend indicator values), annual growth rate -71.86 % change on previous year (2021)
- Arms imports (SIPRI trend indicator values), gaps filled 65.00 million SIPRI trend indicator values (2021)
- Military expenditure (current USD), per capita 6.96 current USD per person (2021)
- Military expenditure (current USD), per unit of GDP 0.0195 current USD per US$ of GDP (2021)
- Military expenditure (current USD), annual growth rate -0.4743 % change on previous year (2021)
- Military expenditure (current USD), gaps filled 278.25 million current USD (2021)
- Arms imports (SIPRI trend indicator values), per square kilometre 99.66 SIPRI trend indicator values per square kilometre (2021)
Frequently asked questions
- What is transfer dependency method 1, ratio of net transfers to own spending in Afghanistan?
- Transfer dependency method 1, ratio of net transfers to own spending in Afghanistan was 0.7329 in 2017, according to International Monetary Fund.
- What is the highest transfer dependency method 1, ratio of net transfers to own spending recorded in Afghanistan?
- The highest recorded value was 0.89 in 2013.
- What is the lowest transfer dependency method 1, ratio of net transfers to own spending recorded in Afghanistan?
- The lowest recorded value was 0.6485 in 2006.
- How does Afghanistan rank for transfer dependency method 1, ratio of net transfers to own spending?
- Afghanistan ranks 1st out of 64 countries with data for 2017.
- Is transfer dependency method 1, ratio of net transfers to own spending rising or falling in Afghanistan?
- Over the last ten years it is down 0.9%. The long-run trend across the full record is flat.
- Where does this Afghanistan data come from?
- The figures come from International Monetary Fund, published as part of Transfer dependency method 1, Ratio of net transfers to own spending, 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.