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View economic output, reported as the nominal value of all new goods and services produced by labor and property located in the U.S.

View the annual rate of economic output, or the inflation-adjusted value of all new goods and services produced by labor and property located in the U.S.

The Chicago Fed's National Financial Conditions Index (NFCI) provides a comprehensive weekly update on U.S. financial conditions in money markets, debt and equity markets and the traditional and "shadow" banking systems. Positive values of the NFCI indicate financial conditions that are tighter than average, while negative values indicate financial conditions that are looser than average. For further information, please visit the Federal Reserve Bank of Chicago (http://www.chicagofed.org/webpages/publications/nfci/index.cfm).

BEA Account Code: A072RC Personal saving as a percentage of disposable personal income (DPI), frequently referred to as "the personal saving rate," is calculated as the ratio of personal saving to DPI. Personal saving is equal to personal income less personal outlays and personal taxes; it may generally be viewed as the portion of personal income that is used either to provide funds to capital markets or to invest in real assets such as residences.(https://www.bea.gov/national/pdf/all-chapters.pdf) A Guide to the National Income and Product Accounts of the United States (http://www.bea.gov/national/pdf/nipaguid.pdf) (NIPA).

Copyright, 2016, National Association of Realtors. Reprinted with permission. Per the agreement with the source, data in FRED are available for the prior 13 months. Measures the degree to which a typical family can afford the monthly mortgage payments on a typical home. Value of 100 means that a family with the median income has exactly enough income to qualify for a mortgage on a median-priced home. An index above 100 signifies that family earning the median income has more than enough income to qualify for a mortgage loan on a median-priced home, assuming a 20 percent down payment. This index is calculated for fixed mortgages.

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 National Association of Realtors monthly housing indicators are based on a representative sample of local boards and multiple listing services. Sales volume, inventory, and price levels for existing homes are measured for the US in aggregate and by census region. Existing homes, unlike new homes, are homes that are owned and occupied before coming onto the market. Existing-home sales measures the transaction volume of existing single-family homes, condos, and co-ops. For more information, see Methodology: Existing-Home Sales (https://www.nar.realtor/research-and-statistics/housing-statistics/existing-home-sales/methodology). Copyright, 2016, National Association of Realtors. Reprinted with permission.

BEA Account Code: A939RX For more information about this series, please visit the Bureau of Economic Analysis (http://www.bea.gov/national/).

Population includes resident population plus armed forces overseas. The monthly estimate is the average of estimates for the first of the month and the first of the following month. BEA Account Code: B230RC A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf)

BEA Account Code: A001RC A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf)

This time series is an interpretation of US Business Cycle Expansions and Contractions data provided by The National Bureau of Economic Research (NBER) at http://www.nber.org/cycles/cyclesmain.html. The NBER identifies months and quarters of turning points without designating a date within the period that turning points occurred. The dummy variable adopts an arbitrary convention that the turning point occurred at a specific date within the period. The arbitrary convention does not reflect any judgment on this issue by the NBER's Business Cycle Dating Committee. Our time series is composed of dummy variables that represent periods of expansion and recession. A value of 1 is a recessionary period, while a value of 0 is an expansionary period. For this time series, the recession begins on the 15th day of the month of the peak and ends on the 15th day of the month of the trough. This time series is a disaggregation of the monthly series. For more options on recession shading, see the note and links below. The recession shading data that we provide initially comes from the source as a list of dates that are either an economic peak or trough. We interpret dates into recession shading data using one of three arbitrary methods. All of our recession shading data is available using all three interpretations. The period between a peak and trough is always shaded as a recession. The peak and trough are collectively extrema. Depending on the application, the extrema, both individually and collectively, may be included in the recession period in whole or in part. In situations where a portion of a period is included in the recession, the whole period is deemed to be included in the recession period. The first interpretation, known as the midpoint method, is to show a recession from the midpoint of the peak through the midpoint of the trough for monthly and quarterly data. For daily data, the recession begins on the 15th of the month of the peak and ends on the 15th of the month of the trough. Daily data is a disaggregation of monthly data. For monthly and quarterly data, the entire peak and trough periods are included in the recession shading. This method shows the maximum number of periods as a recession for monthly and quarterly data. The Federal Reserve Bank of St. Louis uses this method in its own publications. A version of this time series represented using the midpoint method can be found at: https://fred.stlouisfed.org/series/USRECDM The second interpretation, known as the trough method, is to show a recession from the period following the peak through the trough (i.e. the peak is not included in the recession shading, but the trough is). For daily data, the recession begins on the first day of the first month following the peak and ends on the last day of the month of the trough. Daily data is a disaggregation of monthly data. The trough method is used when displaying data on FRED graphs. The midpoint method is used for this series. The third interpretation, known as the peak method, is to show a recession from the period of the peak to the trough (i.e. the peak is included in the recession shading, but the trough is not). For daily data, the recession begins on the first day of the month of the peak and ends on the last day of the month preceding the trough. Daily data is a disaggregation of monthly data. A version of this time series represented using the peak method can be found at: https://fred.stlouisfed.org/series/USRECDP

The observations for the NASDAQ Composite Index represent the daily index value at market close. The market typically closes at 4 PM ET, except for holidays when it sometimes closes early. The NASDAQ Composite Index is a market capitalization weighted index with more than 3000 common equities listed on the NASDAQ Stock Market. The types of securities in the index include American depositary receipts (ADRs), common stocks, real estate investment trusts (REITs), and tracking stocks. The index includes all NASDAQ listed stocks that are not derivatives, preferred shares, funds, exchange-traded funds (ETFs) or debentures. Copyright © 2016, NASDAQ OMX Group, Inc.

BEA Account Code: A067RX AGuide to the National Income and Product Accounts of the United States (http://www.bea.gov/national/pdf/nipaguid.pdf) (NIPA)

The National Association of Realtors monthly housing indicators are based on a representative sample of local boards and multiple listing services. Sales volume, inventory, and price levels for existing homes are measured for the US in aggregate and by census region. Existing homes, unlike new homes, are homes that are owned and occupied before coming onto the market. Inventory indicates the number of properties marked as "active" on the market or those pending sales. When a seller lists a property, it becomes counted as inventory. For more information, see Methodology: Existing-Home Sales (https://www.nar.realtor/research-and-statistics/housing-statistics/existing-home-sales/methodology). Copyright, 2016, National Association of Realtors. Reprinted with permission.

BEA Account Code: A191RI For more information about this series, please see http://www.bea.gov/national/.

BEA Account Code: W013RC A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf)

BEA Account Code: DPCERX A Guide to the National Income and Product Accounts of the United States (http://www.bea.gov/national/pdf/nipaguid.pdf) (NIPA)

BEA Account Code: A091RC For more information about this series, please see http://www.bea.gov/national/.

BEA Account Code: DPCERG The Personal Consumption Expenditures Price Index is a measure of the prices that people living in the United States, or those buying on their behalf, pay for goods and services. The change in the PCE price index is known for capturing inflation (or deflation) across a wide range of consumer expenses and reflecting changes in consumer behavior. For example, if the price of beef rises, shoppers may buy less beef and more chicken. The PCE Price Index is produced by the Bureau of Economic Analysis (BEA), which revises previously published PCE data to reflect updated information or new methodology, providing consistency across decades of data that's valuable for researchers. They also offer the series as a Chain-Type index, as above. The PCE price index is used primarily for macroeconomic analysis and forecasting. The PCE Price index is the Federal Reserve’s preferred measure of inflation. The PCE Price Index is similar to the Bureau of Labor Statistics' consumer price index for urban consumers. The two indexes, which have their own purposes and uses, are constructed differently, resulting in different inflation rates. For more information on the PCE price index, see: U.S. Bureau of Economic Analysis, Guide to the National Income and Product Accounts of the United States (NIPA) (https://www.bea.gov/national/pdf/nipaguid.pdf) U.S. Bureau of Economic Analysis, Personal Consumption Expenditures Price Index (https://www.bea.gov/data/personal-consumption-expenditures-price-index) U.S. Bureau of Economic Analysis, Prices & Inflation (https://www.bea.gov/resources/learning-center/what-to-know-prices-inflation) U.S. Bureau of Labor Statistics, Differences between the Consumer Price Index and the Personal Consumption Expenditure Price Index (https://www.bls.gov/opub/btn/archive/differences-between-the-consumer-price-index-and-the-personal-consumption-expenditures-price-index.pdf)

BEA Account Code: A067RC A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf)

View a 10-year yield estimated from the average yields of a variety of Treasury securities with different maturities derived from the Treasury yield curve.

The Chicago Fed’s National Financial Conditions Index (NFCI) provides a comprehensive weekly update on U.S. financial conditions in money markets, debt and equity markets and the traditional and “shadow” banking systems. Positive values of the NFCI indicate financial conditions that are tighter than average, while negative values indicate financial conditions that are looser than average. The adjusted NFCI (ANFCI). This index isolates a component of financial conditions uncorrelated with economic conditions to provide an update on how financial conditions compare with current economic conditions. For further information, please visit the Federal Reserve Bank of Chicago's web site: http://www.chicagofed.org/webpages/publications/nfci/index.cfm

Indeed calculates the index change in seasonally-adjusted job postings since February 1, 2020, the pre-pandemic baseline. Indeed seasonally adjusts each series based on historical patterns in 2017, 2018, and 2019. Each series, including the national trend, occupational sectors, and sub-national geographies, is seasonally adjusted separately. Indeed switched to this new methodology in December 2022 and now reports all historical data using this new methodology. Historical numbers have been revised and may differ significantly from originally reported values. The new methodology applies a detrended seasonal adjustment factor to the index change in job postings. For more information, see Frequently Asked Questions (https://www.hiringlab.org/indeed-data-faq/) regarding Indeed Data. Copyrighted: Pre-approval required. Contact Indeed to request permission to use the data at their contact information provided here (https://github.com/hiring-lab/data#readme). End Users are excluded of any warranty and liability on the part of Indeed for the accuracy of the Indeed Data. End Users will refrain from any external distribution of Indeed Data except in oral or written presentations, provided that such portions or derivations are incidental to and supportive of such presentations and, provided further that the End Users shall not distribute or disseminate in such presentations any amount of Indeed Data which could cause such presentations to be susceptible to use substantially as a source of, or substitute for Indeed Data. End Users agree to credit Indeed as the source and owner of the Indeed Data when making it available to third parties in any permissible manner as well as in internal use. End Users agree to not sell or otherwise provide the Indeed Data obtained from Licensee to third parties.

BEA Account Code: A006RX A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf)

The observations for the NASDAQ 100 Index represent the daily index value at market close. The market typically closes at 4 PM ET, except for holidays when it sometimes closes early. The NASDAQ 100 Index includes 100 of the largest domestic and international non-financial securities listed on The NASDAQ Stock Market based on market capitalization. Copyright © 2016, NASDAQ OMX Group, Inc.

Crown Copyright, 2016. Source: Office for National Statistics licensed under the Open Government Licence v.1.0.

BEA Account Code: A006RC A Guide to the National Income and Product Accounts of the United States (http://www.bea.gov/national/pdf/nipaguid.pdf) (NIPA)

BEA Account Code: A071RC A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf)

The National Association of Realtors monthly housing indicators are based on a representative sample of local boards and multiple listing services. Sales volume, inventory, and price levels for existing homes are measured for the US in aggregate and by census region. Existing homes, unlike new homes, are homes that are owned and occupied before coming onto the market. Months' supply refers to the number of months it would take for the current inventory of homes on the market to sell given the current sales pace. For more information, see Methodology: Existing-Home Sales (https://www.nar.realtor/research-and-statistics/housing-statistics/existing-home-sales/methodology). Copyright, 2016, National Association of Realtors. Reprinted with permission.

The National Association of Realtors monthly housing indicators are based on a representative sample of local boards and multiple listing services. Sales volume, inventory, and price levels for existing homes are measured for the US in aggregate and by census region. Existing homes, unlike new homes, are homes that are owned and occupied before coming onto the market. The median sales price measures the price at which half of existing homes sold for more and half sold for less. For more information, see Methodology: Existing-Home Sales (https://www.nar.realtor/research-and-statistics/housing-statistics/existing-home-sales/methodology). Copyright, 2016, National Association of Realtors. Reprinted with permission.

BEA Account Code: B021RC A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf)

BEA Account Code: A065RC Personal income is the income that persons receive in return for their provision of labor, land, and capital used in current production and the net current transfer payments that they receive from business and from government.25 Personal income is equal to national income minus corporate profits with inventory valuation and capital consumption adjustments, taxes on production and imports less subsidies, contributions for government social insurance, net interest and miscellaneous payments on assets, business current transfer payments (net), current surplus of government enterprises, and wage accruals less disbursements, plus personal income receipts on assets and personal current transfer receipts. A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf)

Series Is Presented Here As Three Variables--(1)--Seasonally Adjusted Data, 1929-1942 (2)--Seasonally Adjusted Data, 1940-1946 (3)--Original Data, 1947-1966. Source: National Industrial Conference Board, Published By G.H. Moore, Business Cycle Indicators, Vol. Ii, P. 35 And 123. This NBER data series m08292a appears on the NBER website in Chapter 8 at http://www.nber.org/databases/macrohistory/contents/chapter08.html. NBER Indicator: m08292a

BEA Account Code: A229RX A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf)

BEA Account Code: W006RC Visit the BEA (http://www.bea.gov/national/) for more information about this series.

BEA Account Code: A019RC A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf)

View data of the average interest rate, calculated weekly, of fixed-rate mortgages with a 30-year repayment term.

BEA Account Code: B020RC A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf)

BEA Account Code: A939RC For more information about this series, please see http://www.bea.gov/national/.

Indeed calculates the index change in seasonally-adjusted job postings since February 1, 2020, using a 7-day trailing average. February 1, 2020, is the pre-pandemic baseline. Indeed seasonally adjusts each series based on historical patterns in 2017, 2018, and 2019. Each series, including the national trend, occupational sectors, and sub-national geographies, is seasonally adjusted separately. Indeed switched to this new methodology in January 2021 and now reports all historical data using this new methodology. Historical numbers have been revised and may differ significantly from originally reported values. The new methodology applies a detrended seasonal adjustment factor to the index change in job postings. For more information, see Frequently Asked Questions (https://www.hiringlab.org/indeed-data-faq/) regarding Indeed Data. Copyrighted: Pre-approval required. Contact Indeed to request permission to use the data at their contact information provided here (https://github.com/hiring-lab/data#readme). End Users are excluded of any warranty and liability on the part of Indeed for the accuracy of the Indeed Data. End Users will refrain from any external distribution of Indeed Data except in oral or written presentations, provided that such portions or derivations are incidental to and supportive of such presentations and, provided further that the End Users shall not distribute or disseminate in such presentations any amount of Indeed Data which could cause such presentations to be susceptible to use substantially as a source of, or substitute for Indeed Data. End Users agree to credit Indeed as the source and owner of the Indeed Data when making it available to third parties in any permissible manner as well as in internal use. End Users agree to not sell or otherwise provide the Indeed Data obtained from Licensee to third parties.

View data of the Effective Federal Funds Rate, or the interest rate depository institutions charge each other for overnight loans of funds.

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

BEA Account Code: DPCCRG The Personal Consumption Expenditures Price Index is a measure of the prices that people living in the United States, or those buying on their behalf, pay for goods and services. The change in the PCE price index is known for capturing inflation (or deflation) across a wide range of consumer expenses and reflecting changes in consumer behavior. For example, if car prices rise, car sales may decline while bicycle sales increase. The PCE Price Index is produced by the Bureau of Economic Analysis (BEA), which revises previously published PCE data to reflect updated information or new methodology, providing consistency across decades of data that's valuable for researchers. They also offer the series as a Chain-Type index and excluding food and energy products, as above. The PCE price index less food excluding food and energy is used primarily for macroeconomic analysis and forecasting future values of the PCE price index. The PCE Price Index is similar to the Bureau of Labor Statistics' consumer price index for urban consumers. The two indexes, which have their own purposes and uses, are constructed differently, resulting in different inflation rates. For more information on the PCE price index, see: U.S. Bureau of Economic Analysis, Guide to the National Income and Product Accounts of the United States (NIPA) (https://www.bea.gov/national/pdf/nipaguid.pdf) U.S. Bureau of Economic Analysis, Personal Consumption Expenditures Price Index (https://www.bea.gov/data/personal-consumption-expenditures-price-index) U.S. Bureau of Economic Analysis, Prices & Inflation (https://www.bea.gov/resources/learning-center/what-to-know-prices-inflation) U.S. Bureau of Labor Statistics, Differences between the Consumer Price Index and the Personal Consumption Expenditure Price Index (https://www.bls.gov/opub/btn/archive/differences-between-the-consumer-price-index-and-the-personal-consumption-expenditures-price-index.pdf)

All data is as of 5 PM PST. Copyright, 2018, Coinbase. Reproduction of Coinbase data in any form is prohibited except with the prior written permission of Coinbase.

BEA Account Code: A055RC

BEA Account Code: A053RC For more information about this series, please see http://www.bea.gov/national/.

GNI (formerly GNP) is the sum of value added by all resident producers plus any product taxes (less subsidies) not included in the valuation of output plus net receipts of primary income (compensation of employees and property income) from abroad. Data are in current U.S. dollars. Source Code: NY.GNP.MKTP.CD

H.15 Statistical Release notes (https://www.federalreserve.gov/releases/h15/default.htm) and the Treasury Yield Curve Methodology (https://home.treasury.gov/policy-issues/financing-the-government/interest-rate-statistics/treasury-yield-curve-methodology). For questions on the data, please contact the data source (https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h15/%). For questions on FRED functionality, please contact us here (https://fred.stlouisfed.org/contactus/).</p>

The STLFSI4 measures the degree of financial stress in the markets and is constructed from 18 weekly data series: seven interest rate series, six yield spreads and five other indicators. Each of these variables captures some aspect of financial stress. Accordingly, as the level of financial stress in the economy changes, the data series are likely to move together. How to Interpret the Index: The average value of the index, which begins in late 1993, is designed to be zero. Thus, zero is viewed as representing normal financial market conditions. Values below zero suggest below-average financial market stress, while values above zero suggest above-average financial market stress. More information: The STLFSI4 is the third revision (i.e., STLFSI3 (https://fred.stlouisfed.org/series/STLFSI3) and STLFSI2 (https://fred.stlouisfed.org/series/STLFSI2) of the original STLFSI (https://fred.stlouisfed.org/series/STLFSI). Whereas the STLFSI3 used the past 90-day average backward-looking secured overnight financing rate (SOFR) (https://fred.stlouisfed.org/series/SOFR90DAYAVG) in two of their yield spreads, the STLFSI4 uses the 90-day forward-looking SOFR (https://www.cmegroup.com/market-data/cme-group-benchmark-administration/term-sofr.html) in its place. For more information, see "The St. Louis Fed’s Financial Stress Index, Version 4.0" (https://fredblog.stlouisfed.org/2022/11/the-st-louis-feds-financial-stress-index-version-4/). For information on earlier STLFSIs, see "Measuring Financial Market Stress" (https://files.stlouisfed.org/files/htdocs/publications/es/10/ES1002.pdf), "The St. Louis Fed’s Financial Stress Index, Version 2.0." (https://fredblog.stlouisfed.org/2020/03/the-st-louis-feds-financial-stress-index-version-2-0/), and "The St. Louis Fed’s Financial Stress Index, Version 3.0" (https://fredblog.stlouisfed.org/2022/01/the-st-louis-feds-financial-stress-index-version-3-0/).

The Series Is Based On The Number Of 1-4 Family Mortgage Loans Outstanding And Includes Loans In Foreclosure. Source: Mortgage Bankers Association Of America, "National Delinquency Survey" This NBER data series q09084 appears on the NBER website in Chapter 9 at http://www.nber.org/databases/macrohistory/contents/chapter09.html. NBER Indicator: q09084

BEA Account Code: M318501 For more information about this series, please see http://www.bea.gov/national/.

A zero value for the index indicates that the national economy is expanding at its historical trend rate of growth; negative values indicate below-average growth; and positive values indicate above-average growth. For further information, please visit the Federal Reserve Bank of Chicago's web site: http://www.chicagofed.org/webpages/research/data/cfnai/current_data.cfm

H.15 Statistical Release notes (https://www.federalreserve.gov/releases/h15/default.htm) and the Treasury Yield Curve Methodology (https://home.treasury.gov/policy-issues/financing-the-government/interest-rate-statistics/treasury-yield-curve-methodology). For questions on the data, please contact the data source (https://www.federalreserve.gov/apps/ContactUs/feedback.aspx?refurl=/releases/h15/%). For questions on FRED functionality, please contact us here (https://fred.stlouisfed.org/contactus/).</p>

BEA Account Code: B235RC For more information about this series, please see http://www.bea.gov/national/.

Series Is Presented Here As 2 Variables: (1) Original Data, 1938-41; (2) Original Data, 1947-56. Figures For 11/1946-3/1948, And 5/1950 Adjusted Downward By Source To "Eliminate Effects Of Amendments To The National Housing Act Or Of Administrative Changes Affecting The Magnitude Of These Data Series." - Letter Of 6/6/1956 To NBER By A. F. Thornton, Director, Div. Of Res. & Statistics, F.H.A. Source: Federal Housing Administration, Division Of Research And Statistics This NBER data series m02164a appears on the NBER website in Chapter 2 at http://www.nber.org/databases/macrohistory/contents/chapter02.html. NBER Indicator: m02164a

Sahm Recession Indicator signals the start of a recession when the three-month moving average of the national unemployment rate (U3) (https://fred.stlouisfed.org/series/UNRATE) rises by 0.50 percentage points or more relative to the minimum of the three-month averages from the previous 12 months. This indicator is based on "real-time" data, that is, the unemployment rate (and the recent history of unemployment rates) that were available in a given month. The BLS revises the unemployment rate each year at the beginning of January, when the December unemployment rate for the prior year is published. Revisions to the seasonal factors can affect estimates in recent years. Otherwise the unemployment rate does not revise.

The count of active single-family and condo/townhome listings for a given market during the specified month (excludes pending listings). With the release of its September 2022 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology updates and improves the calculation of time on market and improves handling of duplicate listings. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since October 2022 will not be directly comparable with previous data releases (files downloaded before October 2022) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/). With the release of its November 2021 housing trends report, Realtor.com® incorporated a new and improved methodology for capturing and reporting housing inventory trends and metrics. The new methodology uses the latest and most accurate data mapping of listing statuses to yield a cleaner and more consistent measurement of active listings at both the national and local level. The methodology has also been adjusted to better account for missing data in some fields including square footage. Most areas across the country will see minor changes with a smaller handful of areas seeing larger updates. As a result of these changes, the data released since December 2021 will not be directly comparable with previous data releases (files downloaded before December 2021) and Realtor.com® economics blog posts. However, future data releases, including historical data, will consistently apply the new methodology. More details are available at the source's Real Estate Data Library (https://www.realtor.com/research/data/).

Series Is Presented Here As Two Variables--(1)--Original Data, 1897-1916 (2)--Original Data, 1914-1958 20 Stocks Are Used Through September, 1928 And 30 Stocks Thereafter. A Detailed Description Of Methods Of Constucting Averages Is Given In "Basis Of Calculation Of Dow-Jones Average" Available From The Wall Street Journal. For A More Detailed Description Of The Series, See Business Cycle Indicators, Vol. Ii, Moore, NBER. This Index Is Based On Daily Closing Prices On The New York Stock Exchange. Through 1948, Averages Of Highest And Lowest Indexes For The Month Are Used. For 1949-1968, Averages Of Daily Closing Indexes Are Used. Source: Data Were Compiled By Dow Jones And Company From Quotations In The Wall Street Journal. Through June, 1952, Data Are From The Dow-Jones Averages, 13Th Edition, 1948, And Supplementary Averages (Barron'S Publishing Company). Thereafter, Through 1968, Data Are From Barron'S National Business And Financial Weekly. This NBER data series m11009b appears on the NBER website in Chapter 11 at http://www.nber.org/databases/macrohistory/contents/chapter11.html. NBER Indicator: m11009b

BEA Account Code: A792RC For more information about this series, please see http://www.bea.gov/national/.