Federal Reserve Economic Data

View data of the CPI, or an inflation measure derived from tracking the changes in the weighted-average price of a basket of common goods and services.

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. International Monetary Fund, International Financial Statistics and data files.

The Sticky Price Consumer Price Index (CPI) is calculated from a subset of goods and services included in the CPI that change price relatively infrequently. Because these goods and services change price relatively infrequently, they are thought to incorporate expectations about future inflation to a greater degree than prices that change on a more frequent basis. One possible explanation for sticky prices could be the costs firms incur when changing price. To obtain more information about this release see: Michael F. Bryan, and Brent H. Meyer. “Are Some Prices in the CPI More Forward Looking Than Others? We Think So.” Economic Commentary (Federal Reserve Bank of Cleveland) (May 19, 2010): 1–6. https://doi.org/10.26509/frbc-ec-201002 (https://doi.org/10.26509/frbc-ec-201002).

View the inflation-adjusted value of the 50th percentile of the U.S. income distribution, as estimated by the Census Bureau.

View data of PCE, an index that measures monthly changes in the price of consumer goods and services as a means of analyzing inflation.

The "Consumer Price Index for All Urban Consumers: All Items Less Food & Energy" is an aggregate of prices paid by urban consumers for a typical basket of goods, excluding food and energy. This measurement, known as "Core CPI," is widely used by economists because food and energy have very volatile prices. The Bureau of Labor Statistics defines and measures the official CPI, and more information can be found in the FAQ (https://www.bls.gov/cpi/questions-and-answers.htm) or in this article (https://www.bls.gov/opub/hom/pdf/cpihom.pdf).

Data measure usual weekly earnings of wage and salary workers. Wage and salary workers are workers who receive wages, salaries, commissions, tips, payment in kind, or piece rates. The group includes employees in both the private and public sectors but, for the purposes of the earnings series, it excludes all self-employed persons, both those with incorporated businesses and those with unincorporated businesses. Usual weekly earnings represent earnings before taxes and other deductions and include any overtime pay, commissions, or tips usually received (at the main job in the case of multiple jobholders). Prior to 1994, respondents were asked how much they usually earned per week. Since January 1994, respondents have been asked to identify the easiest way for them to report earnings (hourly, weekly, biweekly, twice monthly, monthly, annually, or other) and how much they usually earn in the reported time period. Earnings reported on a basis other than weekly are converted to a weekly equivalent. The term "usual" is determined by each respondent's own understanding of the term. If the respondent asks for a definition of "usual," interviewers are instructed to define the term as more than half the weeks worked during the past 4 or 5 months. Visit the BLS (https://www.bls.gov/cps/earnings.htm) for more information. The series comes from the 'Current Population Survey (Household Survey)' The source code is: LES1252881600

People 15 years old and over beginning with March 1980, and people 14 years old and over as of March of the following year for previous years.

OECD Descriptor ID: CPALTT01 OECD unit ID: PC OECD country ID: USA All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

View data of the CPI, or an inflation measure derived from tracking the changes in the weighted-average price of a basket of common goods and services.

Median Consumer Price Index (CPI) is a measure of core inflation calculated the Federal Reserve Bank of Cleveland and the Ohio State University. Median CPI was created as a different way to get a 'Core CPI' measure, or a better measure of underlying inflation trends. To calculate the Median CPI, the Cleveland Fed analyzes the median price change of the goods and services published by the BLS. The median price change is the price change that's right in the middle of the long list of all of the price changes. This series excludes 49.5% of the CPI components with the highest and lowest one-month price changes from each tail of the price-change distribution resulting in a Median CPI Inflation Estimate. According to research from the Cleveland Fed, the Median CPI provides a better signal of the inflation trend than either the all-items CPI or the CPI excluding food and energy. According to newer research done at the Cleveland Fed, the Median CPI is even better at PCE inflation in the near and longer term than the core PCE. For further information, visit The Federal Reserve Bank of Cleveland (https://www.clevelandfed.org/indicators-and-data/median-cpi#background).

Handbook of Methods - (https://www.bls.gov/opub/hom/pdf/cpihom.pdf) Understanding the CPI: Frequently Asked Questions - (http://stats.bls.gov:80/cpi/cpifaq.htm)

Handbook of Methods - (https://www.bls.gov/opub/hom/pdf/cpihom.pdf) Understanding the CPI: Frequently Asked Questions - (http://stats.bls.gov:80/cpi/cpifaq.htm)

The data in this series are calculated using two series, and as such only update when those series update. This series is constructed from Advance Retail and Food Services Sales (RSAFS (https://fred.stlouisfed.org/series/RSAFS)) deflated using the Consumer Price Index for All Urban Consumers (1982-84=100) (CPIAUCSL (https://fred.stlouisfed.org/series/CPIAUCSL)).

View data of PCE, an index that measures monthly changes in the price of consumer goods and services as a means of analyzing inflation.

The Sticky Price Consumer Price Index (CPI) is calculated from a subset of goods and services included in the CPI that change price relatively infrequently. Because these goods and services change price relatively infrequently, they are thought to incorporate expectations about future inflation to a greater degree than prices that change on a more frequent basis. One possible explanation for sticky prices could be the costs firms incur when changing price. To obtain more information about this release see: Michael F. Bryan, and Brent H. Meyer. “Are Some Prices in the CPI More Forward Looking Than Others? We Think So.” Economic Commentary (Federal Reserve Bank of Cleveland) (May 19, 2010): 1–6. https://doi.org/10.26509/frbc-ec-201002 (https://doi.org/10.26509/frbc-ec-201002).

OECD Data Filters: REF_AREA: USA MEASURE: CPI UNIT_MEASURE: PD METHODOLOGY: N EXPENDITURE: _T ADJUSTMENT: N TRANSFORMATION: GOY FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).

OECD Data Filters: REF_AREA: USA MEASURE: CPI UNIT_MEASURE: IX METHODOLOGY: N EXPENDITURE: _T ADJUSTMENT: N TRANSFORMATION: _Z FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).

Copyright, European Union, 1995-2016, http://ec.europa.eu/geninfo/legal_notices_en.htm#copyright.

View data of the CPI, or an inflation measure derived from tracking the changes in the weighted-average price of a basket of common goods and services.

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. International Monetary Fund, International Financial Statistics and data files.

The “Consumer Price Index for All Urban Consumers: All Items Less Food & Energy” is an aggregate of prices paid by urban consumers for a typical basket of goods, excluding food and energy. This measurement, known as “Core CPI,” is widely used by economists because food and energy have very volatile prices. The Bureau of Labor Statistics defines and measures the official CPI, and more information can be found here: https://www.bls.gov/cpi/questions-and-answers.htm or here: https://www.bls.gov/opub/hom/pdf/cpihom.pdf.

Families as of March of the following year.

OECD Descriptor ID: CPALTT01 OECD unit ID: PC OECD country ID: USA All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database), https://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission

Handbook of Methods - (https://www.bls.gov/opub/hom/pdf/cpihom.pdf) Understanding the CPI: Frequently Asked Questions - (http://stats.bls.gov:80/cpi/cpifaq.htm)

The Sticky Price Consumer Price Index (CPI) is calculated from a subset of goods and services included in the CPI that change price relatively infrequently. Because these goods and services change price relatively infrequently, they are thought to incorporate expectations about future inflation to a greater degree than prices that change on a more frequent basis. One possible explanation for sticky prices could be the costs firms incur when changing price. To obtain more information about this release see: Michael F. Bryan, and Brent H. Meyer. “Are Some Prices in the CPI More Forward Looking Than Others? We Think So.” Economic Commentary (Federal Reserve Bank of Cleveland) (May 19, 2010): 1–6. https://doi.org/10.26509/frbc-ec-201002 (https://doi.org/10.26509/frbc-ec-201002).

OECD Data Filters: REF_AREA: IND MEASURE: CPI UNIT_MEASURE: IX METHODOLOGY: N EXPENDITURE: _T ADJUSTMENT: N TRANSFORMATION: _Z FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).

OECD Data Filters: REF_AREA: GBR MEASURE: CPI UNIT_MEASURE: IX METHODOLOGY: N EXPENDITURE: _T ADJUSTMENT: N TRANSFORMATION: _Z FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).

OECD Data Filters: REF_AREA: JPN MEASURE: CPI UNIT_MEASURE: IX METHODOLOGY: N EXPENDITURE: _T ADJUSTMENT: N TRANSFORMATION: _Z FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).

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. International Monetary Fund, International Financial Statistics and data files.

OECD Data Filters: REF_AREA: USA MEASURE: CPI UNIT_MEASURE: PA METHODOLOGY: N EXPENDITURE: _T ADJUSTMENT: N TRANSFORMATION: GY FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).

OECD Data Filters: REF_AREA: CHN MEASURE: CPI UNIT_MEASURE: IX METHODOLOGY: N EXPENDITURE: _T ADJUSTMENT: N TRANSFORMATION: _Z FREQ: M All OECD data should be cited as follows: OECD (year), (dataset name), (data source) DOI or https://data-explorer.oecd.org/ (https://data-explorer.oecd.org/). (accessed on (date)).

The Sticky Price Consumer Price Index (CPI) is calculated from a subset of goods and services included in the CPI that change price relatively infrequently. Because these goods and services change price relatively infrequently, they are thought to incorporate expectations about future inflation to a greater degree than prices that change on a more frequent basis. One possible explanation for sticky prices could be the costs firms incur when changing price. To obtain more information about this release see: Michael F. Bryan, and Brent H. Meyer. “Are Some Prices in the CPI More Forward Looking Than Others? We Think So.” Economic Commentary Federal Reserve Bank of Cleveland May 19, 2010: 1–6. https://doi.org/10.26509/frbc-ec-201002 (https://doi.org/10.26509/frbc-ec-201002).

Data measure usual weekly earnings of wage and salary workers. Wage and salary workers are workers who receive wages, salaries, commissions, tips, payment in kind, or piece rates. The group includes employees in both the private and public sectors but, for the purposes of the earnings series, it excludes all self-employed persons, both those with incorporated businesses and those with unincorporated businesses. Usual weekly earnings represent earnings before taxes and other deductions and include any overtime pay, commissions, or tips usually received (at the main job in the case of multiple jobholders). Prior to 1994, respondents were asked how much they usually earned per week. Since January 1994, respondents have been asked to identify the easiest way for them to report earnings (hourly, weekly, biweekly, twice monthly, monthly, annually, or other) and how much they usually earn in the reported time period. Earnings reported on a basis other than weekly are converted to a weekly equivalent. The term "usual" is determined by each respondent's own understanding of the term. If the respondent asks for a definition of "usual," interviewers are instructed to define the term as more than half the weeks worked during the past 4 or 5 months. For more information see https://www.bls.gov/cps/earnings.htm The series comes from the 'Current Population Survey (Household Survey)' The source code is: LES1252881900

OECD descriptor ID: CPHPTT01 OECD unit ID: GY OECD country ID: EA17 All OECD data should be cited as follows: OECD, "Main Economic Indicators - complete database", Main Economic Indicators (database),http://dx.doi.org/10.1787/data-00052-en (Accessed on date) Copyright, 2016, OECD. Reprinted with permission.