Vertical fiscal imbalance, Percent in Peru
Peru: Vertical fiscal imbalance, Percent was -0.0204 in 2020. ◆ Volatile
Vertical fiscal imbalance, Percent in Peru, 1995–2020
Source: International Monetary Fund.
Analysis
Peru recorded -0.0204 for vertical fiscal imbalance, percent in 2020. That is the highest value across all 26 years on record.
The figure is up 95.7% on the previous year and up 97.0% over ten years.
Over the whole period, vertical fiscal imbalance, percent in Peru peaked at -0.0204 in 2020 and was at its lowest, -0.962, in 2008.
That places Peru 32nd out of 64 countries with data for 2020, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Vertical fiscal imbalance, Percent in Peru, year by year
| Year | Value | Change |
|---|---|---|
| 1995 | -0.1737 | — |
| 1996 | -0.5937 | +241.8% |
| 1997 | -0.3319 | -44.1% |
| 1998 | -0.2088 | -37.1% |
| 1999 | -0.1419 | -32.0% |
| 2000 | -0.1869 | +31.7% |
| 2001 | -0.1923 | +2.9% |
| 2002 | -0.3792 | +97.2% |
| 2003 | -0.3562 | -6.1% |
| 2004 | -0.4677 | +31.3% |
| 2005 | -0.5113 | +9.3% |
| 2006 | -0.834 | +63.1% |
| 2007 | -0.9442 | +13.2% |
| 2008 | -0.962 | +1.9% |
| 2009 | -0.5336 | -44.5% |
| 2010 | -0.6815 | +27.7% |
| 2011 | -0.7908 | +16.0% |
| 2012 | -0.9247 | +16.9% |
| 2013 | -0.7779 | -15.9% |
| 2014 | -0.6033 | -22.4% |
| 2015 | -0.3489 | -42.2% |
| 2016 | -0.4471 | +28.2% |
| 2017 | -0.343 | -23.3% |
| 2018 | -0.4595 | +34.0% |
| 2019 | -0.4714 | +2.6% |
| 2020 | -0.0204 | -95.7% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | -0.29 | -0.5937 | -0.1419 | 5 |
| 2000s | -0.5367 | -0.962 | -0.1869 | 10 |
| 2010s | -0.5848 | -0.9247 | -0.343 | 10 |
| 2020s | -0.0204 | -0.0204 | -0.0204 | 1 |
Countries ranked near Peru
More public sector data for Peru
- Arms imports 4.00 million SIPRI trend indicator values (2024)
- Arms imports (SIPRI trend indicator values), per capita 0.1169 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 -81.82 % change on previous year (2024)
- Arms imports (SIPRI trend indicator values), gaps filled 4.00 million SIPRI trend indicator values (2024)
- Military expenditure (current USD), per capita 74.97 current USD per person (2024)
- Military expenditure (current USD), per unit of GDP 0.0088 current USD per US$ of GDP (2024)
- Military expenditure (current USD), annual growth rate -22.47 % change on previous year (2024)
- Military expenditure (current USD), gaps filled 2.57 billion current USD (2024)
- Arms imports (SIPRI trend indicator values), per square kilometre 17.19 SIPRI trend indicator values per square kilometre (2023)
Frequently asked questions
- What is vertical fiscal imbalance, percent in Peru?
- Vertical fiscal imbalance, percent in Peru was -0.0204 in 2020, according to International Monetary Fund.
- What is the highest vertical fiscal imbalance, percent recorded in Peru?
- The highest recorded value was -0.0204 in 2020.
- What is the lowest vertical fiscal imbalance, percent recorded in Peru?
- The lowest recorded value was -0.962 in 2008.
- How does Peru rank for vertical fiscal imbalance, percent?
- Peru ranks 32nd out of 64 countries with data for 2020.
- Is vertical fiscal imbalance, percent rising or falling in Peru?
- Over the last ten years it is up 97.0%. The long-run trend across the full record is volatile.
- Where does this Peru data come from?
- The figures come from International Monetary Fund, published as part of Vertical fiscal imbalance, Percent (Central government). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 26 observations, free to reuse under IMF Terms and Conditions (attribution required).
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.