Mandated Goals and Numerical Targets (IA) in Peru
Peru: Mandated Goals and Numerical Targets (IA) was 100 in 2018. ▬ Flat
Mandated Goals and Numerical Targets (IA) in Peru, 2007–2018
Source: International Monetary Fund.
Analysis
Peru recorded 100 for mandated goals and numerical targets (ia) in 2018. That is the highest value across all 12 years on record.
Compared with earlier readings it is unchanged over ten years.
Over the whole period, mandated goals and numerical targets (ia) in Peru peaked at 100 in 2007 and was at its lowest, 100, in 2007.
That places Peru 20th out of 47 countries with data for 2018, putting it in the middle of the range.
Mandated Goals and Numerical Targets (IA) in Peru, year by year
| Year | Value | Change |
|---|---|---|
| 2007 | 100 | — |
| 2008 | 100 | +0.0% |
| 2009 | 100 | +0.0% |
| 2010 | 100 | +0.0% |
| 2011 | 100 | +0.0% |
| 2012 | 100 | +0.0% |
| 2013 | 100 | +0.0% |
| 2014 | 100 | +0.0% |
| 2015 | 100 | +0.0% |
| 2016 | 100 | +0.0% |
| 2017 | 100 | +0.0% |
| 2018 | 100 | +0.0% |
Peru compared with similar countries
- Peru's 100 is above the median for upper middle income countries, which is 100, 1.0× the median. (20 countries reporting)
- Peru's 100 is above the median for Latin America & Caribbean, which is 100, 1.0× the median. (8 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 100 | 100 | 100 | 3 |
| 2010s | 100 | 100 | 100 | 9 |
Countries ranked near Peru
- 19 Jamaica 104.25 compare
- 20 Australia 100 compare
- 20 Brazil 100 compare
- 20 Chile 100 compare
- 20 China 100 compare
- 20 Colombia 100 compare
- 20 Czechia 100 compare
- 20 United Kingdom 100 compare
- 20 Georgia 100 compare
- 20 Indonesia 100 compare
- 20 Iceland 100 compare
- 20 South Korea 100 compare
- 20 Mexico 100 compare
- 20 Mauritius 100 compare
- 20 Nigeria 100 compare
- 20 Norway 100 compare
- 20 New Zealand 100 compare
- 20 Philippines 100 compare
- 20 Poland 100 compare
- 20 Serbia 100 compare
- 20 Sweden 100 compare
- 20 Thailand 100 compare
- 20 Turkey 100 compare
- 20 Tanzania 100 compare
- 20 South Africa 100 compare
More financial sector data for Peru
- Reserve position in the IMF, US dollar, annual growth rate 5.94 % change on previous year (2025)
- Reserve position in the IMF, US dollar, per unit of GDP 0.0014 units per US$ of GDP (2025)
- Reserve position in the IMF, US dollar, per capita 13.46 units per person (2025)
- Reserve position in the IMF, SDR, annual growth rate 0.8855 % change on previous year (2025)
- Reserve position in the IMF, SDR, per unit of GDP 0.001 units per US$ of GDP (2025)
- Reserve position in the IMF, SDR, per capita 9.83 units per person (2025)
- Reserve tranche position, US dollar, annual growth rate 5.94 % change on previous year (2025)
- Reserve tranche position, US dollar, per unit of GDP 0.0014 units per US$ of GDP (2025)
- Reserve tranche position, US dollar, per capita 13.46 units per person (2025)
- Reserve tranche position, SDR, annual growth rate 0.8855 % change on previous year (2025)
Frequently asked questions
- What is mandated goals and numerical targets (ia) in Peru?
- Mandated goals and numerical targets (ia) in Peru was 100 in 2018, according to International Monetary Fund.
- What is the highest mandated goals and numerical targets (ia) recorded in Peru?
- The highest recorded value was 100 in 2007.
- What is the lowest mandated goals and numerical targets (ia) recorded in Peru?
- The lowest recorded value was 100 in 2007.
- How does Peru rank for mandated goals and numerical targets (ia)?
- Peru ranks 20th out of 47 countries with data for 2018.
- Is mandated goals and numerical targets (ia) rising or falling in Peru?
- Over the last ten years it is unchanged. The long-run trend across the full record is flat.
- Where does this Peru data come from?
- The figures come from International Monetary Fund, published as part of Mandated Goals and Numerical Targets (IA) (Index). Statizoid updates them automatically from the source API.
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About this data
Monetary policy framework comprises the structures in place that enable and guide the conduct of monetary policy. In this project, we provide a multidimensional characterization of monetary policy frameworks across three pillars: Independence and Accountability, Policy and Operational Strategy, and Communications (IAPOC). This database covers 50 advanced economies, emerging markets, and low-income developing countries, from 2007 to 2018 (being extended).