View monthly updates and historical trends for US Inflation Rate. from United States. Source: Bureau of Labor Statistics. Track economic data with YCharts…

Median PCE inflation is a measure of inflation computed by the Federal Reserve Bank of Cleveland. It ranks the components of PCE inflation and picks the one in the middle. Its construction makes it less sensitive to short-lived price fluctuations, thereby better capturing the trend in prices. Released monthly.

Inflation Rate in the United States remained unchanged at 2.40 percent in February. This dataset provides - United States Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Core consumer prices in the United States increased 2.50 percent in February of 2026 over the same month in the previous year. This dataset provides - United States Core Inflation Rate - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Median Personal Consumption Expenditures Inflation is a part of the Median PCE Inflation indicator of the Federal Reserve Bank of Cleveland.

Graph and download economic data for Personal Consumption Expenditures: Chain-type Price Index (PCEPI) from Jan 1959 to Jan 2026 about chained, headline figure, PCE, consumption expenditures, consumption, personal, inflation, price index, indexes, price, and USA.

Graph and download economic data for Inflation, consumer prices for the United States (FPCPITOTLZGUSA) from 1960 to 2024 about consumer, CPI, inflation, price index, indexes, price, and USA.

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

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

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.

The Consumer Price Index in the United States increased 0.30 percent in February of 2026 over the previous month. This dataset provides - United States Inflation Rate MoM - actual values, historical data, forecast, chart, statistics, economic calendar and news.

https://fred.stlouisfed.org/series/CPIAUCSL

Source: U.S. Bureau of Labor Statistics Release: Consumer Price Index
Units: Index 1982-1984=100, Seasonally Adjusted

Frequency: Monthly

Notes: The Consumer Price Index for All Urban Consumers: All Items (CPIAUCSL) is a price index of a basket of goods and services paid by urban consumers. Percent changes in the price index measure the inflation rate between any two time periods. The most common inflation metric is the percent change from one year ago. It can also represent the buying habits of urban consumers. This particular index includes roughly 88 percent of the total population, accounting for wage earners, clerical workers, technical workers, self-employed, short-term workers, unemployed, retirees, and those not in the labor force.

The CPIs are based on prices for food, clothing, shelter, and fuels; transportation fares; service fees (e.g., water and sewer service); and sales taxes. Prices are collected monthly from about 4,000 housing units and approximately 26,000 retail establishments across 87 urban areas. To calculate the index, price changes are averaged with weights representing their importance in the spending of the particular group. The index measures price changes (as a percent change) from a predetermined reference date. In addition to the original unadjusted index distributed, the Bureau of Labor Statistics also releases a seasonally adjusted index. The unadjusted series reflects all factors that may influence a change in prices. However, it can be very useful to look at the seasonally adjusted CPI, which removes the effects of seasonal changes, such as weather, school year, production cycles, and holidays.

The CPI can be used to recognize periods of inflation and deflation. Significant increases in the CPI within a short time frame might indicate a period of inflation, and significant decreases in CPI within a short time frame might indicate a period of deflation. However, because the CPI includes volatile food and oil prices, it might not be a reliable measure of inflationary and deflationary periods. For a more accurate detection, the core CPI (CPILFESL) is often used. When using the CPI, please note that it is not applicable to all consumers and should not be used to determine relative living costs. Additionally, the CPI is a statistical measure vulnerable to sampling error since it is based on a sample of prices and not the complete average.

For more information on the CPI, see the Handbook of Methods, the release notes and announcements, and the Frequently Asked Questions (FAQs).

Suggested Citation: U.S. Bureau of Labor Statistics, Consumer Price Index for All Urban Consumers: All Items in U.S. City Average [CPIAUCSL], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/CPIAUCSL, August 17, 2025.

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.

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. | This dataset contains important information and resources. For comprehensive details, documentation, and inquiries, please contact data@worldbank.org. Additional metadata and related resources are available on this page.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Food in U.S. City Average (CPIUFDSL) from Jan 1947 to Feb 2026 about food, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

View monthly updates and historical trends for US Core Inflation Rate. from United States. Source: Bureau of Labor Statistics. Track economic data with YC…

Historical dataset showing U.S. inflation rate by year from 1960 to 2024.

Cost of food in the United States increased 3.10 percent in February of 2026 over the same month in the previous year. This dataset provides the latest reported value for - United States Food Inflation - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Made By: Maxwell Beutel

County-Level Monthly Inflation Pressure (Synthetic), 2000–2025

Overview

This dataset provides a county-level view of inflation pressure in the United States from January 2000 to 2025.

Link To How I collected the data:

Because county-level CPI does not exist, inflation is usually analyzed only at the national or regional level. To address this gap, I constructed a synthetic inflation pressure metric that combines regional CPI trends with county-level housing price growth. This approach helps illustrate how inflation pressure varies locally, particularly through housing costs.

Why this dataset exists

Inflation is experienced locally, but most inflation data is not. Housing prices, in particular, vary widely across counties and play a major role in how inflation is felt on the ground.

This dataset helps answer questions such as: - Which counties have experienced persistently high inflation pressure since 2000? - How does inflation pressure differ across regions? - Did inflation become more synchronized after 2020? - Which counties are current inflation outliers?

Methodology (Synthetic Inflation Pressure)

synthetic_inflation_yoy - = 0.5 × regional_cpi_yoy - + 0.5 × housing_yoy

This formulation follows standard practices used in constructing composite indicators, where multiple related measures are combined into a single, interpretable metric. Link to method: https://www.oecd.org/en/publications/handbook-on-constructing-composite-indicators-methodology-and-user-guide_9789264043466-en.html?utm_source=chatgpt.com

Components: - Regional CPI YoY
Source: Federal Reserve Economic Data (FRED)
Geography: Census regions (Northeast, Midwest, South, West)

• Housing YoY
  Source: Zillow Home Value Index (ZHVI)
  Geography: County
  Calculated as a 12-month percent change

Housing is weighted equally with CPI to reflect its importance in household inflation experience. The weighting is transparent and can be adjusted.

Coverage

• ~3,000 U.S. counties
• Monthly data from 2000 onward
• Counties identified by 5-digit FIPS codes
• Includes county centroid latitude/longitude and Census region

All values are year-over-year percent changes.

Columns

• date – Month end date
• month – Year-month (YYYY-MM)
• year – Calendar year
• county_fips – 5-digit county FIPS code
• county_name – County name
• state_abbr – State abbreviation
• region – Census region
• lat, lon – County centroid coordinates
• housing_yoy – County housing price YoY (%)
• regional_cpi_yoy – Regional CPI YoY (%)
• synthetic_inflation_yoy – Combined inflation pressure proxy (%)

• This dataset represents inflation pressure, not official CPI
• All counties within the same Census region share the same CPI component
• Some counties may have missing housing data in early years
• The data is not seasonally adjusted

This dataset is intended for exploratory and comparative analysis, rather than precise inflation measurement or policy enforcement.

Data sources

• Zillow Home Value Index (ZHVI)
• Federal Reserve Economic Data (FRED)
• U.S. Census Bureau Gazetteer Files

Description

The Consumer Price Index for All Urban Consumers: All Items (CPIAUCSL) is a price index of a basket of goods and services paid by urban consumers. Percent changes in the price index measure the inflation rate between any two time periods. The most common inflation metric is the percent change from one year ago. It can also represent the buying habits of urban consumers. This particular index includes roughly 88 percent of the total population, accounting for wage earners, clerical workers, technical workers, self-employed, short-term workers, unemployed, retirees, and those not in the labor force.

The CPIs are based on prices for food, clothing, shelter, and fuels; transportation fares; service fees (e.g., water and sewer service); and sales taxes. The unadjusted series reflects all factors that may influence a change in prices. However, it can be very useful to look at the seasonally adjusted CPI, which removes the effects of seasonal changes, such as weather, school year, production cycles, and holidays.

The CPI can be used to recognize periods of inflation and deflation. Significant increases in the CPI within a short time frame might indicate a period of inflation, and significant decreases in CPI within a short time frame might indicate a period of deflation. However, because the CPI includes volatile food and oil prices, it might not be a reliable measure of inflationary and deflationary periods. For more accurate detection, the core CPI (CPILFESL) is often used. When using the CPI, please note that it is not applicable to all consumers and should not be used to determine relative living costs. Additionally, the CPI is a statistical measure vulnerable to sampling error since it is based on a sample of prices and not the complete average.