Consumer Price Index CPI in the United States increased to 321.47 points in May from 320.80 points in April of 2025. This dataset provides the latest reported value for - United States Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The Consumer Price Index (CPI) is a measure of the average change over time in the prices paid by urban consumers for a market basket of consumer goods and services. Indexes are available for the U.S. and various geographic areas. Average price data for select utility, automotive fuel, and food items are also available. Prices for the goods and services used to calculate the CPI are collected in 75 urban areas throughout the country and from about 23,000 retail and service establishments. Data on rents are collected from about 43,000 landlords or tenants.

More information and details about the data provided can be found at http://www.bls.gov/cpi

The Consumer Price Index in the United States increased 0.10 percent in May of 2025 over the previous month. This dataset provides - United States Inflation Rate MoM - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Analysis of ‘🚊 Consumer Price Index’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/consumer-price-indexe on 13 February 2022.

--- Dataset description provided by original source is as follows ---

About this dataset

9The Consumer Price Index for All Urban Consumers: All Items (CPIAUCSL) is a measure of the average monthly change in the price for goods and services paid by urban consumers between any two time periods.(1) 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.(1)

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.(1) 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.(1) 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.(1)

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 (Consumer Price Index for All Urban Consumers: All Items Less Food & Energy [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.(1) 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.(1)

Attribution: US. Bureau of Labor Statistics from The Federal Reserve Bank of St. Louis

For more information on the consumer price indexes, see:

• (1) Bureau of Economic Analysis. “CPI Detailed Report.” 2013
• (2) Handbook of Methods
• (3) Understanding the CPI: Frequently Asked Questions

This dataset was created by Finance and contains around 900 samples along with Consumer Price Index For All Urban Consumers: All Items, Title:, technical information and other features such as: - Consumer Price Index For All Urban Consumers: All Items - Title: - and more.

How to use this dataset

• Analyze Consumer Price Index For All Urban Consumers: All Items in relation to Title:
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Acknowledgements

If you use this dataset in your research, please credit Finance

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--- Original source retains full ownership of the source dataset ---

Consumer Price Index CPI in Germany increased to 121.80 points in May from 121.70 points in April of 2025. This dataset provides the latest reported value for - Germany Consumer Price Index (CPI) - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

Treasury Inflation-Protected Securities, also known as TIPS, are securities whose principal is tied to the Consumer Price Index. With inflation, the principal increases. With deflation, it decreases. When the security matures, the U.S. Treasury pays the original or adjusted principal, whichever is greater.

Monthly indexes for major components and special aggregates of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the current month and previous four months. The base year for the index is 2002=100.

DEQ proposes rules to increase Title V operating permit fees by the change in the consumer price index as authorized by federal and state law. The proposed fee increases are necessary for DEQ to provide essential services associated with Oregon’s Title V permitting program.

ABOUT THIS CHART Child Protective Investigations (CPI) conducts either a traditional investigation or Alternative Response (AR). Traditional investigations and Alternative Response require caseworkers to assess safety and take needed actions to protect a child while assessing any risk of abuse or neglect in the foreseeable future. AR cases present a less adversarial more collaborative approach to working with families by allowing for family engagement along with other community supports to ensure child safety. AR differs from traditional investigations in that AR cases are Priority 2 cases involving victims who are age 6 or older, there is no substantiation of allegations, no entry of perpetrators into the Central Registry (a repository for reports of child abuse and neglect), and there is a heightened focus on guiding the family to plan for safety in a way that works for them and therefore sustains safety. Alternative response is timely if the first face-to-face meeting with the family and children in the household occurs within five days of an AR stage being opened and will involve working with the family to conduct safety and family assessments. AR cases can remain open for up to 60 days with a one-time 20-day extension, if appropriate. Should CPI staff identify services to improve general family functioning and overall protective actions within the standard AR case time frame, the caseworker will provide support in linking the family to existing resources within the community. A description of Alternative Response and how it differs from a traditional investigation and priority response times are in the glossary. Alterative Response has been fully implemented in Regions 1, 2, 3, 4, 5, 6B, 7, 8, 9, 10 and 11. AR in Region 6A is in the implementation stage. Full state implementation is anticipated in March 2021. Region 6A is Harris County and Region 6B is Region 6 excluding Harris County. This dashboard addresses the Texas Family Code Section 264.017 (b) (6).

Detailed monthly consumer price index published according to the COICOP classification divisions and groups. Base: April 2019 (=100)

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.

This table contains the annual rates of change of the CPI from the moment they were first published. The annual rate of change reflects changes in prices of consumer goods and services in a certain month compared with the same month in the previous year; it is the year on-year change of the consumer price index.

This table also contains the derived series for the annual rate of change. This is based on the normal series but without the effect of changes in the rates of product-related taxes (for instance VAT and excise duty on alcohol and tobacco) and subsidies. The derived series answers the question: how would prices have changed if the tax rates remained the same?

CPI figures are published every month. In addition, an annual figure is published at the end of the year. The CPI of a calendar year is calculated as the average of the indices of the twelve months of that year.

Data available from: January 1963

Status of the figures: When first published, the figures are provisional. Their status becomes final simultaneously with the second publication about the same month. Differences between the provisional and final figures are caused by source material that has become available after the provisional publication.

Changes compared with previous version: Data on the most recent period have been added and/or adjustments have been implemented.

When will new figures be published? New figures will usually be published between the first and second Thursday of the month following on the reporting month. The figures of the previous reporting month then become final.

All CPI publications are announced on the publication calendar.

Monthly indexes and percentage changes for major components and special aggregates of the Consumer Price Index (CPI), not seasonally adjusted, for Canada, provinces, Whitehorse, Yellowknife and Iqaluit. Data are presented for the corresponding month of the previous year, the previous month and the current month. The base year for the index is 2002=100.

Analysis of ‘Consumer Price Index — Mainland ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/5ae9a5cac8d8c915d5faa629 on 18 January 2022.

--- Dataset description provided by original source is as follows ---

Consumer Price Index. Base 100=2008. MAINLAND. Note: All figures are rounded to three decimal places for publication. (1) Classification of Individual Consumption by Objective.

--- Original source retains full ownership of the source dataset ---

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.

About this dataset

Context

The dataset illustrates the median household income in Mobile, spanning the years from 2010 to 2021, with all figures adjusted to 2022 inflation-adjusted dollars. Based on the latest 2017-2021 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2021, the median household income for Mobile decreased by $1,596 (3.19%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $4,559 (6.51%) between 2010 and 2021.

Analyzing the trend in median household income between the years 2010 and 2021, spanning 11 annual cycles, we observed that median household income, when adjusted for 2022 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 4 years and declined for 7 years.

https://i.neilsberg.com/ch/mobile-al-median-household-income-trend.jpeg" alt="Mobile, AL median household income trend (2010-2021, in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2021
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2022 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Mobile median household income. You can refer the same here

Monthly indexes for major components and special aggregates of the Consumer Price Index (CPI), seasonally adjusted, for Canada. Data are presented for the current month and previous four months. The base year for the index is 2002=100.

This table contains 30 series, with data for years 1986 - 2012 (not all combinations necessarily have data for all years), and was last released on 2013-01-09. This table contains data described by the following dimensions (Not all combinations are available): Geography (10 items: Canada; United States; France; United Kingdom ...), Consumer Price Index (CPI) (1 items: Consumer Price Index (CPI) ...), Base year (3 items: 1995=100; 2005=100; 2000=100 ...).

This dataset shows the Consumer Price Index (2010 =100), index number for main groups, 2017 - 2023 (Jan-Jul) Malaysia, Peninsular Malaysia, Sabah and Sarawak (Monthly) Footnote Main Group classification is based on the Classification of Individual Consumption According by Purpose (COICOP) January 2017 - December 2020 : Data includes W.P. Labuan. Weight: Main Groups Weight Total 100 Food and Non- Alcoholic Beverages 29.5 Alcoholic Beverages and Tobacco 2.4 Clothing and Footware 3.2 Housing, Water, Electricity, Gas and Other Fuels 23.8 Furnishings, Households Equipment and Routine Household Maintenance 4.1 Health 1.9 Transport 14.6 Communication 4.8 Recreation Services and Culture 4.8 Education 1.3 Restaurants and Hotels 2.9 Miscellaneous Goods and Services 6.7 Source : Department of Statistics, Malaysia No. of Views : 277

1) Data Introduction • The Walmart Dataset includes weekly sales, weather and economic indicators, and holiday information for 45 Walmart stores in the United States from February 2010 to November 2012.

2) Data Utilization (1) Walmart Dataset has characteristics that: • The dataset provides a variety of time-series and economic characteristics, including store numbers, dates, weekly sales, holiday status, temperature, oil prices, consumer price index (CPI), unemployment, and more. (2) Walmart Dataset can be used to: • Sales forecasting model development: It can be used to build machine learning regression models that predict future sales by leveraging weekly sales and economic and environmental factors. • Analyzing Promotion and Holiday Effects: Analyzing the impact of holiday and promotion periods on sales can be used to develop marketing and inventory management strategies.