I was looking for data to add to a visualization about minimum wage in the U.S. over the years and found this inflation rate data useful.

Investopedia summary: The inflation rate is the percentage change in the price of products and services from one year to the next. Two of the most common ways to measure inflation are the Consumer Price Index (CPI) calculated by the Bureau of Labor Statistics (BLS) and the personal consumption expenditures (PCE) price index from the Bureau of Economic Analysis (BEA). The CPI measures the change in prices paid by U.S. consumers over time, and it is the most popular way to gauge inflation.

Graph and download economic data for Underlying Inflation Gauge: Full Data Set Measure (DISCONTINUED) (UIGFULL) from Jan 1995 to Sep 2023 about inflation and USA.

This article describes the new RPIJ measure of Consumer Price Inflation. RPIJ is a Retail Prices Index (RPI) based measure that will use a geometric (Jevons) formula in place of one type of arithmetic formula (Carli). It is being launched in response to the National Statistician's conclusion that the RPI does not meet international standards due to the use of the Carli formula in its calculation. The accompanying Excel file includes a back series for RPIJ from 1997 to 2012. Source agency: Office for National Statistics Designation: National Statistics Language: English Alternative title: New RPIJ measure of Consumer Price Inflation

Consumer Price Index - CPI, All Urban Consumers (Current Series).

Summaries (item_code SA0, SAF, SAH, SAA, SAT, SAM, SAR, SAE, SAG, SAS, SAC).

Info: https://download.bls.gov/pub/time.series/cu/cu.txt

Data source: U.S. Bureau of Labor Statistics (https://www.bls.gov/)

This article describes CPIH - the new, additional measure of Consumer Price Inflation including owner occupiers' housing costs (OOH). The rental equivalence approach is used to measure OOH. The accompanying Excel file includes a back series for CPIH from 2005 to 2012. Source agency: Office for National Statistics Designation: National Statistics Language: English Alternative title: New CPIH measure of Consumer Price Inflation

This dataset provides comprehensive historical consumer price index (CPI) data for more than 60 countries, spanning monthly and annual time series. The CPI measures the overall change in the prices of goods and services purchased by households, making it a key macroeconomic indicator for assessing inflation and purchasing power over time. The dataset includes long series that extend back to the mid-19th century for some countries, with an average length of over 60 years for monthly series. The data is widely used as a deflator for other economic series, such as real effective exchange rates and real residential property prices.

Key Features

• Global Coverage: CPI data for over 60 countries.
• Long Time Series: Annual series dating back to the mid-19th century and monthly series averaging over 60 years in length.
• Deflation Tool: Commonly used as a deflator for other economic indicators.
• Inflation Measurement: Essential for tracking inflation and assessing purchasing power.
• Historical Context: Provides insights into economic trends over extended periods.

Measures of monthly UK inflation data including CPIH, CPI and RPI. These tables complement the consumer price inflation time series dataset.

View monthly updates and historical trends for US Underlying Inflation Gauge: Full Data Set Measure (DISCONTINUED). from United States. Source: Federal Re…

United States Underlying Inflation Gauge: Full Data Set Measure data was reported at 2.874 % in Sep 2023. This records a decrease from the previous number of 3.032 % for Aug 2023. United States Underlying Inflation Gauge: Full Data Set Measure data is updated monthly, averaging 2.162 % from Jan 1995 (Median) to Sep 2023, with 345 observations. The data reached an all-time high of 6.318 % in Jun 2022 and a record low of -0.648 % in Sep 2009. United States Underlying Inflation Gauge: Full Data Set Measure data remains active status in CEIC and is reported by Federal Reserve Bank of New York. The data is categorized under Global Database’s United States – Table US.I: Underlying Inflation Gauge (Discontinued).

A look at the consumer price index for transportation and its components as a measure of inflation faced by consumers.

This table contains 13 series, with data from 1949 (not all combinations necessarily have data for all years). Data are presented for the current month and previous four months. Users can select other time periods that are of interest to them.

Comprehensive database of time series covering measures of inflation data for the UK including CPIH, CPI and RPI.

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.

Empirical analyses of Cagan’s money demand schedule for hyper-inflation have largely ignored the explosive nature of hyper-inflationary data. It is argued that this contributes to an (i) inability to model the data to the end of the hyper-inflation, and to (ii) discrepancies between “estimated” and “actual” inflation tax. Using data from the extreme Yugoslavian hyper-inflation it is shown that a linear analysis of levels of prices and money fails in addressing these issues even when the explosiveness is taken into account. The explanation is that log real money has random walk behaviour while the growth of log prices is explosive. A simple solution to these issues is found by replacing the conventional measure of inflation by the cost of holding money.

Time series data for the statistic Inflation_Rate and country Chad. Indicator Definition:Inflation as measured by the consumer price index reflects the annual percentage change in the cost to the average consumer of acquiring a basket of goods and services that may be fixed or changed at specified intervals, such as yearly. The Laspeyres formula is generally used.The statistic "Inflation Rate" stands at 8.90 percent as of 12/31/2024. Regarding the One-Year-Change of the series, the current value constitutes an decrease of -1.94 compared to the value the year prior.The Serie's long term average value is 3.29 percent. It's latest available value, on 12/31/2024, is 5.61 higher, compared to it's long term average value.The Serie's change from it's minimum value, on 12/31/2017, to it's latest available value, on 12/31/2024, is +10.44 .The Serie's change in percentage points from it's maximum value, on 12/31/2023, to it's latest available value, on 12/31/2024, is -1.94.

Economic growth is easy to understand: it means that people have access to goods and services of increasing quantity and quality. What is hard, however, is to measure economic growth. This chart shows two ways of doing this for US growth over the past 160 years. The purple lines represent a straightforward approach: each line tracks the share of households with access to one specific good or service. Starting from the top, you see the rising provision of basic infrastructure like running water, flush toilets, and electric power. You can also see the increasing availability of communication technology: radios, TVs, the Internet, and mobile phones. And further down, you see the rise of technologies that reduced work at home: vacuum cleaners, washing machines, dryers, and dishwashers. This approach is very concrete; it shows practical ways in which the production and consumption of specific goods increased over time. The downside is that it only captures a limited number of particular goods. Millions of goods and services are produced and consumed, and most are not recorded with such precision. A way to measure how people’s access to the full range of goods and services changes is to measure people’s incomes. This way of measuring growth is shown in the top left panel. The data on average income, here measured by GDP per capita, tells us that the average American was 13 times poorer in 1860 than in 2022 (adjusted for inflation). These two ways of measuring economic growth have pros and cons: one is concrete but not comprehensive, the other is comprehensive but quite abstract. If we want to understand what growth means for our societies, I find it helpful to combine them both.

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

Inflation Rate in Nigeria decreased to 16.05 percent in October from 18.02 percent in September of 2025. This dataset provides - Nigeria Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

The Index of Common Inflation Expectations (CIE) pulls together a variety of measures that look at the inflation expectations of economic agents. Data dimensions include the type of economic agent, the horizon of the expectation, the source of data (survey versus market-based measures), and the associated inflation concept. CIE is constructed using 21 inflation expectation indicators derived from households, firms, professional forecasters, and financial market participants. Both 'short horizon' (forecasts for the year ahead) and 'long horizon' (forecasts for a period over the next 5-10 years) inflation expectations are included. The quarterly index began in September 2020 and includes data from 1999 to present.