Consumer Prices, General Indices (2015 = 100) β Value in Russian Federation
Russian Federation: Consumer Prices, General Indices (2015 = 100) β Value was 195.79 in 2026. β Volatile
Consumer Prices, General Indices (2015 = 100) β Value in Russian Federation, 2000β2026
Source: Food and Agriculture Organization of the United Nations.
Analysis
Russian Federation recorded 195.79 for consumer prices, general indices (2015 = 100) β value in 2026. That is the highest value across all 27 years on record.
That represents a change of up 3.0% on the previous year and up 79.3% over ten years.
Over the whole period, consumer prices, general indices (2015 = 100) β value in Russian Federation peaked at 195.79 in 2026 and was at its lowest, 22.12, in 2000.
Russian Federation ranks 43rd of 203 countries on this measure, in the top quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 40.95 | 22.12 | 62.94 | 10 |
| 2010s | 95.44 | 68.46 | 120.28 | 10 |
| 2020s | 163.79 | 126.19 | 195.79 | 7 |
Countries ranked near Russian Federation
- 40 Uruguay 207.86 compare
- 41 Azerbaijan 205.16 compare
- 42 Kyrgyzstan 196.25 compare
- 44 Tunisia 192.7 compare
- 45 Democratic Republic of the Congo 191.22 compare
- 46 Kenya 184.04 compare
More economy & growth data for Russian Federation
- Gross Fixed Capital Formation β Annual growth US$, 2015 prices 6 % (2024)
- Gross Fixed Capital Formation β Annual growth US$ 4.8 % (2024)
- Gross Fixed Capital Formation β Annual growth Standard Local 6 % (2024)
- Gross Fixed Capital Formation β Annual growth Standard Local Currency 14.71 % (2024)
- Gross Fixed Capital Formation β Share of GDP Standard Local Currency 24.06 % (2024)
- Gross Fixed Capital Formation β Share of GDP Standard Local Currency 22.52 % (2024)
- Gross Fixed Capital Formation β Share of GDP US$, 2015 prices 24.06 % (2024)
- Gross Fixed Capital Formation β Share of GDP US$ 22.52 % (2024)
- Gross Fixed Capital Formation β Value US$, 2015 prices 387,507 million USD (2024)
- Gross Fixed Capital Formation β Value Standard Local Currency, 2015 23.61 million million SLC (2024)
Frequently asked questions
- What is consumer prices, general indices (2015 = 100) β value in Russian Federation?
- Consumer prices, general indices (2015 = 100) β value in Russian Federation was 195.79 in 2026, according to Food and Agriculture Organization of the United Nations.
- What is the highest consumer prices, general indices (2015 = 100) β value recorded in Russian Federation?
- The highest recorded value was 195.79 in 2026.
- What is the lowest consumer prices, general indices (2015 = 100) β value recorded in Russian Federation?
- The lowest recorded value was 22.12 in 2000.
- How does Russian Federation rank for consumer prices, general indices (2015 = 100) β value?
- Russian Federation ranks 43rd out of 203 countries with data for 2026.
- Is consumer prices, general indices (2015 = 100) β value rising or falling in Russian Federation?
- Over the last ten years it is up 79.3%. The long-run trend across the full record is volatile.
- Where does this Russian Federation data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Consumer Prices, General Indices (2015 = 100) β Value. Statizoid updates them automatically from the source API.
Download this data
CSV Β· JSON β 27 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The FAOSTAT monthly Food CPI and General CPI database was based on the ILO CPI data until December 2014. In 2014, IMF-ILO-FAO agreed to transfer global CPI data compilation from ILO to IMF. Upon agreement, CPIs for all items and its subcomponents originates from the International Monetary Fund (IMF), and the UN Statistics Division (UNSD) for countries not covered by the IMF. However, due to a limited time coverage from IMF and UNSD for a number of countries, the Organisation for Economic Co-operation and Development (OECD), Central Bank of Western African States (BCEAO), Eastern Caribbean Central Bank (ECCB), UNdata, United Nations Conference on Trade and Development (UNCTAD) and the national statistics offices websites databases are used for filling the missing data of Food and General CPI. The FAO CPI dataset for all items (or General CPI) and the Food CPI, consists of a complete and consistent set of time series from January 2000 onwards. Data gaps on monthly Food CPI and General CPI are filled using statistical estimation procedures to have full data coverage for all countries for Food CPI and for General CPI. These indices measure the price change between the current and reference periods of the average basket of goods and services purchased by households. The General CPI is typically used to measure and monitor inflation, set monetary policy targets, index social benefits such as pensions and unemployment benefits, and to escalate thresholds and credits in the income tax systems and wages in public and private wage contracts. The FAOSTAT monthly Food CPI inflation rates are annual year-over-year inflation or percentage change over corresponding month of the previous year. The regional and subregional Food and General CPI, and the aggregated Food and General CPI at the different income levels (High-income economies, Low-income economies, Lower-middle-income economies and Upper-middle-income economies) are calculated using two different statistical methods: 1- A weighted average of Food and General CPI values of countries and territories within each region using the weights of Household final consumption expenditure (including non-profit institutions serving households) in 2015 in USD at constant prices of 2015. Household final consumption expenditure is available at https://unstats.un.org/unsd/snaama 2- Median of Food and General CPI values of countries and territories within each region. The Food CPI inflation rates for regional, subregional, and income groups are calculated by first computing, at the country level, the monthly percentage change between two consecutive years. These country-level inflation rates are then aggregated to the group level using two alternative methods: the median and the weighted average, whose weights are based on household final consumption expenditure at 2015 constant prices.