Numerical Targets (PO) in Russia
Russia: Numerical Targets (PO) was 100 in 2018. ▲ Rising
Numerical Targets (PO) in Russia, 2007–2018
Source: International Monetary Fund.
Analysis
The most recent figure for numerical targets (po) in Russia is 100, measured in 2018. That is the lowest value across all 12 years on record.
Compared with earlier readings it is down 19.9% on the previous year and unchanged over ten years.
Over the whole period, numerical targets (po) in Russia peaked at 124.89 in 2016 and was at its lowest, 100, in 2007.
Russia ranks 22nd of 47 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 12 years of available data.
Numerical Targets (PO) in Russia, year by year
| Year | Value | Change |
|---|---|---|
| 2007 | 100 | — |
| 2008 | 100 | +0.0% |
| 2009 | 100 | +0.0% |
| 2010 | 111.75 | +11.8% |
| 2011 | 111.75 | +0.0% |
| 2012 | 111.75 | +0.0% |
| 2013 | 111.75 | +0.0% |
| 2014 | 111.75 | +0.0% |
| 2015 | 111.75 | +0.0% |
| 2016 | 124.89 | +11.8% |
| 2017 | 124.89 | +0.0% |
| 2018 | 100 | -19.9% |
Russia compared with similar countries
- Russia's 100 is above the median for high income countries, which is 100, 1.0× the median. (17 countries reporting)
- Russia's 100 is above the median for Europe & Central Asia, which is 100, 1.0× the median. (15 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 100 | 100 | 100 | 3 |
| 2010s | 113.36 | 100 | 124.89 | 9 |
Countries ranked near Russia
- 22 Argentina 100 compare
- 22 Australia 100 compare
- 22 Brazil 100 compare
- 22 Canada 100 compare
- 22 China 100 compare
- 22 Colombia 100 compare
- 22 United Kingdom 100 compare
- 22 Hungary 100 compare
- 22 Iceland 100 compare
- 22 Mexico 100 compare
- 22 Mauritius 100 compare
- 22 Malaysia 100 compare
- 22 Nigeria 100 compare
- 22 Norway 100 compare
- 22 New Zealand 100 compare
- 22 Peru 100 compare
- 22 Philippines 100 compare
- 22 Poland 100 compare
- 22 Serbia 100 compare
- 22 Uruguay 100 compare
- 22 Zambia 100 compare
More financial sector data for Russia
- Reserve position in the IMF, US dollar, annual growth rate 5.01 % change on previous year (2025)
- Reserve position in the IMF, US dollar, per unit of GDP 0.002 units per US$ of GDP (2025)
- Reserve position in the IMF, US dollar, per capita 34.9 units per person (2025)
- Reserve position in the IMF, SDR, annual growth rate 0 % change on previous year (2025)
- Reserve position in the IMF, SDR, per unit of GDP 0.0014 units per US$ of GDP (2025)
- Reserve position in the IMF, SDR, per capita 25.48 units per person (2025)
- Reserve tranche position, US dollar, annual growth rate 5.01 % change on previous year (2025)
- Reserve tranche position, US dollar, per unit of GDP 0.002 units per US$ of GDP (2025)
- Reserve tranche position, US dollar, per capita 34.9 units per person (2025)
- Reserve tranche position, SDR, annual growth rate 0 % change on previous year (2025)
Frequently asked questions
- What is numerical targets (po) in Russia?
- Numerical targets (po) in Russia was 100 in 2018, according to International Monetary Fund.
- What is the highest numerical targets (po) recorded in Russia?
- The highest recorded value was 124.89 in 2016.
- What is the lowest numerical targets (po) recorded in Russia?
- The lowest recorded value was 100 in 2007.
- How does Russia rank for numerical targets (po)?
- Russia ranks 22nd out of 47 countries with data for 2018.
- Is numerical targets (po) rising or falling in Russia?
- Over the last ten years it is unchanged. The long-run trend across the full record is rising.
- Where does this Russia data come from?
- The figures come from International Monetary Fund, published as part of Numerical Targets (PO) (Index). Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 12 observations, free to reuse under IMF Terms and Conditions (attribution required).
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).