Inflation Nowcasting Monthly Year-Over-Year is a part of the Inflation Nowcasting indicator of the Federal Reserve Bank of Cleveland.

We report average expected inflation rates over the next one through 30 years. Our estimates of expected inflation rates are calculated using a Federal Reserve Bank of Cleveland model that combines financial data and survey-based measures. Released monthly.

Inflation Expectations in the United States decreased to 3 percent in June from 3.20 percent in May of 2025. This dataset provides - United States Consumer Inflation Expectations- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Between December 2023 and April 2024, Zimbabwe was the country with the highest level of real food inflation worldwide. Compared to the previous year, food prices had increased by ** percent in Zimbabwe. Argentina ranked in second place with ** percent.

Core consumer prices in Egypt increased 11.40 percent in June of 2025 over the same month in the previous year. This dataset provides - Egypt Core Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Real interest rates describe the growth in the real value of the interest on a loan or deposit, adjusted for inflation. Nominal interest rates on the other hand show us the raw interest rate, which is unadjusted for inflation. If the inflation rate in a certain country were zero percent, the real and nominal interest rates would be the same number. As inflation reduces the real value of a loan, however, a positive inflation rate will mean that the nominal interest rate is more likely to be greater than the real interest rate. We can see this in the recent inflationary episode which has taken place in the wake of the Coronavirus pandemic, with nominal interest rates rising over the course of 2022, but still lagging far behind the rate of inflation, meaning these rate rises register as smaller increases in the real interest rate.

The inflation rate in the United States is expected to decrease to 2.1 percent by 2029. 2022 saw a year of exceptionally high inflation, reaching eight percent for the year. The data represents U.S. city averages. The base period was 1982-84. In economics, the inflation rate is a measurement of inflation, the rate of increase of a price index (in this case: consumer price index). It is the percentage rate of change in prices level over time. The rate of decrease in the purchasing power of money is approximately equal. According to the forecast, prices will increase by 2.9 percent in 2024. The annual inflation rate for previous years can be found here and the consumer price index for all urban consumers here. The monthly inflation rate for the United States can also be accessed here. Inflation in the U.S.Inflation is a term used to describe a general rise in the price of goods and services in an economy over a given period of time. Inflation in the United States is calculated using the consumer price index (CPI). The consumer price index is a measure of change in the price level of a preselected market basket of consumer goods and services purchased by households. This forecast of U.S. inflation was prepared by the International Monetary Fund. They project that inflation will stay higher than average throughout 2023, followed by a decrease to around roughly two percent annual rise in the general level of prices until 2028. Considering the annual inflation rate in the United States in 2021, a two percent inflation rate is a very moderate projection. The 2022 spike in inflation in the United States and worldwide is due to a variety of factors that have put constraints on various aspects of the economy. These factors include COVID-19 pandemic spending and supply-chain constraints, disruptions due to the war in Ukraine, and pandemic related changes in the labor force. Although the moderate inflation of prices between two and three percent is considered normal in a modern economy, countries’ central banks try to prevent severe inflation and deflation to keep the growth of prices to a minimum. Severe inflation is considered dangerous to a country’s economy because it can rapidly diminish the population’s purchasing power and thus damage the GDP .

Graph and download economic data for Treasury Long-Term Average (Over 10 Years), Inflation-Indexed (LTIIT) from Jan 2000 to Jun 2025 about TIPS, long-term, Treasury, yield, interest rate, interest, real, rate, and USA.

Inflation Rate in Canada increased to 1.90 percent in June from 1.70 percent in May of 2025. This dataset provides - Canada Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

What are the effects of a higher central bank inflation target on the burden of real public debt? Several recent proposals have suggested that even a moderate increase in the inflation target can have a pronounced effect on real public debt. We consider this question in a New Keynesian model with a maturity structure of public debt and an imperfectly observed inflation target. We find that moderate changes in the inflation target only have significant effects on real public debt if they are essentially permanent. Moreover, the additional benefits of not communicating a change in the inflation target are minor.

In the fourth quarter of 2024, the Bulgaria, Spain, and Portugal registered the highest house price increase in real terms (adjusted for inflation). In Bulgaria, house prices outgrew inflation by nearly ** percent. When comparing the nominal price change, which does not take inflation into consideration, the average house price growth was even higher.

Meanwhile, many countries experienced declining prices, with Turkey recording the biggest decline, at ** percent. That has to do with a broader trend of a slowing global housing market.

Inflation Rate in Jordan increased to 2 percent in June from 1.98 percent in May of 2025. This dataset provides the latest reported value for - Jordan Inflation Rate - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The rate at which prices for goods and services are generally rising and, as a result, currency's purchasing power is declining is known as inflation. Central banks attempt to limit inflation—and avoid deflation—in order to keep the economy running smoothly. Each unit of currency may purchase fewer products and services as prices rise. This results in a reduction in the actual value of money, a process that impacts every level of the economy, from consumers to governments. The percentage change in the cost of a basket of goods and services over a certain time period, often a year, is measured by the inflation rate. It’s a key metric for assessing the health of an economy, showing how much more expensive everyday goods and services have become. The change in the average price level of a basket of goods and services over a year is represented by the inflation rate average consumer prices (annual per cent change). It’s calculated by taking the average of prices across all months of a given year compared to the previous year. This metric is determined by averaging monthly price data and comparing it to the average of the previous year. It provides a broader view of inflation trends across a longer time frame, smoothing out any short-term volatility. The Inflation rate, end of period consumer prices (annual per cent change) reflects the price level change from the end of one period (typically December) to the end of the next period (the following December). Instead of taking an average, this rate focuses on the price level at a specific point in time, providing a snapshot of inflation. It’s calculated by comparing the Consumer Price Index (CPI) of the final month of the year with the CPI of the last month of the previous year.

Core consumer prices in Czech Republic increased 2.96 percent in June of 2025 over the same month in the previous year. This dataset provides - Czech Republic Core Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This dataset provides statistics on real gross value added by broad 10 activities for regions. Real values are deflation-adjusted using the Regional Producer Price Index (ROPI), where available.

Data source and definition

Regional gross value added data is collected at current prices, in millions of national currency from Eurostat (reg_eco10) for EU countries and via delegates of the OECD Working Party on Territorial Indicators (WPTI), as well as from national statistical offices' websites. In order to allow comparability over time and across countries, data in current prices are transformed into constant prices and PPP measures.

See method and detailed data sources in Regions and Cities at a Glance 2024, Annex.

Definition of regions

Regions are subnational units below national boundaries. OECD countries have two regional levels: large regions (territorial level 2 or TL2) and small regions (territorial level 3 or TL3). The OECD regions are presented in the OECD Territorial grid (pdf) and in the OECD Territorial correspondence table (xlsx).

Use of economic data on small regions

When economic analyses are carried out at the TL3 level, it is advisable to aggregate data at the metropolitan region level when several TL3 regions are associated to the same metropolitan region. Metropolitan regions combine TL3 regions when 50% or more of the regional population live in a functionnal urban areas above 250 000 inhabitants. This approach corrects the distortions created by commuting. Correspondence between TL3 and metropolitan regions:(xlsx).

Small regions (TL3) are categorized based on shared characteristics into regional typologies. See the economic indicators aggregated by territorial typology at country level on the access to City typology (link) and by urban-rural typology (link).

Cite this dataset

OECD Regions and Cities databases http://oe.cd/geostats

Further information

• The interactive web-tool OECD Regions and Cities Statistical Atlas
• The report OECD Regions and Cities at a Glance

Contact: RegionStat@oecd.org

Many business cycle models use a flat short-run Phillips curve, due to time-dependent pricing and strategic complementarities, to explain fluctuations in real output. But, in doing so, these models predict unrealistically high persistence and stability of US inflation in recent decades. We calculate "reset price inflation"—based on new prices chosen by the subsample of price changers—to dissect this discrepancy. We find that the models generate too much persistence and stability both in reset price inflation and in the way reset price inflation is converted into actual inflation. Our findings present a challenge to existing explanations for business cycles. (JEL E31, E52)

Canada Core Inflation Nowcast: sa: Contribution: Foreign Exchange Rates: Foreign Exchange Rate: Daily Average: Brazilian Real data was reported at 2.616 % in 12 May 2025. This stayed constant from the previous number of 2.616 % for 05 May 2025. Canada Core Inflation Nowcast: sa: Contribution: Foreign Exchange Rates: Foreign Exchange Rate: Daily Average: Brazilian Real data is updated weekly, averaging 0.757 % from Jan 2018 (Median) to 12 May 2025, with 384 observations. The data reached an all-time high of 43.824 % in 16 May 2022 and a record low of 0.000 % in 07 Apr 2025. Canada Core Inflation Nowcast: sa: Contribution: Foreign Exchange Rates: Foreign Exchange Rate: Daily Average: Brazilian Real data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Canada – Table CA.CEIC.NC: CEIC Nowcast: Inflation: Core.

Graph and download economic data for Real Personal Consumption Expenditures: Services Excluding Energy and Housing (LB001260M) from Jan 2007 to Jun 2025 about Supercore, energy, PCE, consumption expenditures, consumption, personal, services, housing, real, inflation, and USA.

Graph and download economic data for 5-Year Breakeven Inflation Rate (T5YIE) from 2003-01-02 to 2025-07-30 about spread, interest rate, interest, 5-year, inflation, rate, and USA.

There has been a resurgence of interest in dynamic factor models for use by policy advisors. Dynamic factor methods can be used to incorporate a wide range of economic information when forecasting or measuring economic shocks. This article introduces dynamic factor models that underlie the data-rich methods and also tests whether the data-rich models can help a benchmark autoregressive model forecast alternative measures of inflation and real economic activity at horizons of 3, 12, and 24 months ahead. The authors find that, over the past decade, the data-rich models significantly improve the forecasts for a variety of real output and inflation indicators. For all the series that they examine, the authors find that the data-rich models become more useful when forecasting over longer horizons. The exception is the unemployment rate, where the principal components provide significant forecasting information at all horizons.