Inflation Rate in Norway remained unchanged at 3 percent in June. This dataset provides - Norway Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Inflation Rate in Canada remained unchanged at 1.70 percent in May. This dataset provides - Canada Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Price quote data (for locally collected data only) and consumption segment indices that underpin consumer price inflation statistics, giving users access to the detailed data that are used in the construction of the UK’s inflation figures. The data are being made available for research purposes only and are not an accredited official statistic. From October 2024, private school fees and part-time education classes have been included in the consumption segment indices file. For more information on the introduction of consumption segments, please see the Consumer Prices Indices Technical Manual, 2019. Note that this dataset was previously called the consumer price inflation item indices and price quotes dataset.

Inflation Rate in Iceland increased to 4.20 percent in June from 3.80 percent in May of 2025. This dataset provides - Iceland Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Abstract

This dataset includes economic statistics on inflation, prices, unemployment, and pay & benefits provided by the Bureau of Labor Statistics (BLS)

Documentation

Update frequency: Monthly Dataset source: U.S. Bureau of Labor Statistics Terms of use: This dataset is publicly available for anyone to use under the following terms provided by the Dataset Source - http://www.data.gov/privacy-policy#data_policy - and is provided "AS IS" without any warranty, express or implied, from Google. Google disclaims all liability for any damages, direct or indirect, resulting from the use of the dataset. See the GCP Marketplace listing for more details and sample queries: https://console.cloud.google.com/marketplace/details/bls-public-data/bureau-of-labor-statistics

A look at the consumer price index and producer price index for transportation as a measure of transportation inflation.

Abstract

Food price inflation is an important metric to inform economic policy but traditional sources of consumer prices are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual price trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes food price estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

Geographic coverage notes

The data cover the following areas: Afghanistan, Armenia, Bangladesh, Burkina Faso, Burundi, Cameroon, Central African Republic, Chad, Congo, Dem. Rep., Congo, Rep., Gambia, The, Guinea, Guinea-Bissau, Haiti, Indonesia, Iraq, Kenya, Lao PDR, Lebanon, Liberia, Libya, Malawi, Mali, Mauritania, Mozambique, Myanmar, Niger, Nigeria, Philippines, Senegal, Somalia, South Sudan, Sri Lanka, Sudan, Syrian Arab Republic, Yemen, Rep.

Global developments play an important role for domestic inflation rates. Earlier literature has found that a substantial amount of the variation in a large set of national inflation rates can be explained by a single global factor. However, inflation volatility has been typically neglected, although it is clearly relevant both from a policy point of view and for structural analysis and forecasting. We study the evolution of inflation rates in several countries, using a novel model that allows for commonality in both levels and volatilities, in addition to country-specific components. We find that inflation volatility is indeed important, and a substantial fraction of it can be attributed to a global factor that is also driving inflation levels and their persistence. The extent of commonality among core inflation rates and volatilities is substantially smaller than for overall inflation, which leaves scope for national monetary policies. Finally, we show that the point and density forecasting performance of the model is good relative to standard benchmarks, which provides additional evidence on its reliability.

This dataset is about countries per year in China. It has 64 rows. It features 4 columns: country, demonym, and inflation.

This dataset has information about the cost of providing General Fund City services per capita of the Full Purpose City population (SD23 measure GTW.A.4). It provides expense information from the annual approved budget document (General Fund Summary and Budget Stabilization Reserve Fund Summary) and population information from the City Demographer's Full Purpose Population numbers. The Consumer Price Index information for Texas is available through the following Key Economic Indicators dataset: https://data.texas.gov/dataset/Key-Economic-Indicators/karz-jr5v.

This dataset can be used to help understand the cost of city services over time.

View more details and insights related to this dataset on the story page: https://data.austintexas.gov/stories/s/ixex-hibp

Core Inflation Rate MoM in the United States decreased to 0.10 percent in May from 0.20 percent in April of 2025. This dataset includes a chart with historical data for the United States Core Inflation Rate MoM.

This data package includes the underlying data files to replicate the data and charts presented in The Inflation Surge in Europe by Patrick Honohan, PIIE Policy Brief 24-2.

If you use the data, please cite as: Honohan, Patrick. 2024. The Inflation Surge in Europe. PIIE Policy Brief 24-2. Washington, DC: Peterson Institute for International Economics.

The IMF has a great inflation database, but it relies on countries to provide their latest data to the IMF, and as such, it can be temporarily out of date. This database will keep the IMF inflation database up to date for African countries by scraping data from individual countries' websites as soon as they release their data and combining it with the latest IMF data. This Africa inflation database powers the ADH Inflation Observer. All 3 datasets found here contain the same data, but in different shapes to suit different applications.

This dataset is about countries in Europe. It has 44 rows. It features 2 columns including inflation.

This dataset is about countries per year in St. Lucia. It has 64 rows. It features 3 columns: country, and inflation.

This dataset is about countries per year in Luxembourg. It has 64 rows. It features 3 columns: country, and inflation.

This dataset is about countries per year in China. It has 64 rows. It features 3 columns: country, and inflation.

This dataset is about countries per year in Korea. It has 64 rows. It features 4 columns: country, inflation, and individuals using the Internet.

This dataset is about countries per year in Namibia. It has 64 rows. It features 3 columns: country, and inflation.

This dataset is about news. It has 34 rows and is filtered where the keywords includes Inflation (Finance)-Germany-History. It features 10 columns including source, publication date, section, and news link.