{"id":9,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Advance Monthly Sales for Retail and Food Services","press_release":true,"link":"http://www.census.gov/retail/","notes":"The U.S. Census Bureau conducts the Advance Monthly Retail Trade and Food Services Survey to provide an early estimate of monthly sales by kind of business for retail and food service firms located in the United States. Each month, questionnaires are mailed to a probability sample of approximately 4,700 employer firms selected from the larger Monthly Retail Trade Survey. Advance sales estimates are computed using a link relative estimator. For each detailed industry, we compute a ratio of current-to previous month weighted sales using data from units for which we have obtained usable responses for both the current and previous month. For each detailed industry, the advance total sales estimates for the current month is computed by multiplying this ratio by the preliminary sales estimate for the previous month (derived from the larger MRTS) at the appropriate industry level. Total estimates for broader industries are computed as the sum of the detailed industry estimates. The link relative estimate is used because imputation is not performed for most nonrespondents in MARTS. For a limited number of nonresponding companies that have influential effects on the estimates, sales may be estimated based on historical performance of that company. The monthly estimates are benchmarked to the annual survey estimates from the Annual Retail Trade Survey once available. The estimates are adjusted for seasonal variation and holiday and trading day differences. Additional information on MARTS and MRTS can be found on the Census Bureau website at: www.census.gov/retail.\r\nDescription of the survey as provided by the Census, https://census.gov/retail/marts/www/marts_current.pdf"}
{"id":10,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Consumer Price Index","press_release":true,"link":"http://www.bls.gov/cpi/"}
{"id":11,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Employment Cost Index","press_release":true,"link":"http://www.bls.gov/ncs/ect/"}
{"id":13,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"G.17 Industrial Production and Capacity Utilization","press_release":true,"link":"http://www.federalreserve.gov/releases/g17/"}
{"id":14,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"G.19 Consumer Credit","press_release":true,"link":"http://www.federalreserve.gov/releases/g19/"}
{"id":15,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"G.5 Foreign Exchange Rates","press_release":true,"link":"http://www.federalreserve.gov/releases/g5/"}
{"id":17,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"H.10 Foreign Exchange Rates","press_release":true,"link":"http://www.federalreserve.gov/releases/h10/"}
{"id":18,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"H.15 Selected Interest Rates","press_release":true,"link":"http://www.federalreserve.gov/releases/h15/"}
{"id":19,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"H.3 Aggregate Reserves of Depository Institutions and the Monetary Base","press_release":true,"link":"http://www.federalreserve.gov/releases/h3/","notes":"The Board of Governors discontinued the H.3 statistical release on September 17, 2020. For more information, please see the announcement posted on August 20, 2020 (https://www.federalreserve.gov/feeds/h3.html)."}
{"id":20,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"H.4.1 Factors Affecting Reserve Balances","press_release":true,"link":"http://www.federalreserve.gov/releases/h41/"}
{"id":21,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"H.6 Money Stock Measures","press_release":true,"link":"http://www.federalreserve.gov/releases/h6/"}
{"id":22,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"H.8 Assets and Liabilities of Commercial Banks in the United States","press_release":true,"link":"http://www.federalreserve.gov/releases/h8/"}
{"id":25,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Manufacturing and Trade Inventories and Sales","press_release":true,"link":"http://www.census.gov/mtis/www/mtis.html","notes":"The Manufacturing and Trade Inventories and Sales estimates are based on data from three surveys: the Monthly Retail Trade Survey, the Monthly Wholesale Trade Survey, and the Manufacturers’ Shipments, Inventories, and Orders Survey. Data for the wholesale and manufacturing sectors are unrevised from the most recent Monthly Wholesale Trade Report and the Full Report on Manufacturers’ Shipments, Inventories and orders. Data from the Retail sector is revised and presented in more detail from the most recent Advance Economic Indicators Report. For more information on these surveys see the links at: www.census.gov/retail/, www.census.gov/wholesale/, and www.census.gov/manufacturing/m3/.\r\nDescription of the survey as provided by the Census, https://census.gov/mtis/www/data/pdf/mtis_current.pdf."}
{"id":27,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"New Residential Construction","press_release":true,"link":"http://www.census.gov/construction/nrc/"}
{"id":46,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Producer Price Index","press_release":true,"link":"http://www.bls.gov/ppi/"}
{"id":47,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Productivity and Costs","press_release":true,"link":"http://www.bls.gov/lpc/"}
{"id":49,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"U.S. International Transactions","press_release":true,"link":"https://www.bea.gov/data/intl-trade-investment/international-transactions"}
{"id":50,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Employment Situation","press_release":true,"link":"http://www.bls.gov/ces/"}
{"id":51,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"U.S. International Trade in Goods and Services","press_release":true,"link":"https://www.census.gov/foreign-trade/Press-Release/current_press_release/index.html"}
{"id":52,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Z.1 Financial Accounts of the United States","press_release":true,"link":"http://www.federalreserve.gov/releases/z1/","notes":"The Financial Accounts (formerly known as the Flow of Funds accounts)  are a set of financial accounts used to track the sources and uses of funds by sector. They are a component of a system of macroeconomic accounts including the National Income and Product accounts (NIPA) and balance of payments accounts, all of which serve as a comprehensive set of information on the economy’s performance.(1) Some important inferences that can be drawn from the Financial accounts are the financial strength of a given sector, new economic trends, changes in the composition of wealth, and development of new financial instruments over time.(1)\r\nSectors are compiled into three categories: households, nonfinancial businesses, and banks. The sources of funds for a sector are its internal funds (savings from income after consumption) and external funds (loans from banks and other financial intermediaries). (1) Funds for a given sector are used for its investments in physical and financial assets. Dividing sources and uses of funds into two categories helps the staff of the Federal Reserve System pay particular attention to external sources of funds and financial uses of funds.(2) One example is whether households are borrowing more from banks—or in other words, whether household debt is rising. Another example might be whether banks are using more of their funds to provide loans to consumers. Transactions within a sector are not shown in the accounts; however, transactions between sectors are.(2) Monitoring the external flows of funds provides insights into a sector’s health and the performance of the economy as a whole. \r\nData for the Financial accounts are compiled from a large number of reports and publications, including regulatory reports such as those submitted by banks, tax filings, and surveys conducted by the Federal Reserve System.(2) The Financial accounts are published quarterly as a set of tables in the Federal Reserve’s Z.1 statistical release.\r\n(1)\tTeplin, Albert M. “The U.S. Flow of Funds Accounts and Their Uses.” Federal Reserve Bulletin, July 2001; http://www.federalreserve.gov/pubs/bulletin/2001/0701lead.pdf.\r\n(2)\tBoard of Governors of the Federal Reserve System. “Guide to the Flow of Funds Accounts.” 2000, http://www.federalreserve.gov/apps/fof/."}
{"id":53,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Gross Domestic Product","press_release":true,"link":"https://www.bea.gov/data/gdp/gross-domestic-product"}
{"id":54,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Personal Income and Outlays","press_release":true,"link":"https://www.bea.gov/data/income-saving/personal-income"}
{"id":55,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Reports of Condition and Income for All Insured U.S. Commercial Banks","press_release":true,"link":"https://cdr.ffiec.gov/public/"}
{"id":59,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"National Population Estimates","press_release":false,"link":"http://www.census.gov/popest/"}
{"id":61,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Money Zero Maturity (MZM)","press_release":false,"link":"http://research.stlouisfed.org/publications/mt/"}
{"id":62,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Monetary Services Index (MSI)","press_release":false,"link":"https://research.stlouisfed.org/msi/"}
{"id":63,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"M2 Related Series","press_release":false,"link":"http://research.stlouisfed.org/publications/mt/"}
{"id":64,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Long-Term U.S. Treasury Securities - Market Yield","press_release":false}
{"id":70,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Monthly Treasury Inflation-Indexed Securities","press_release":false}
{"id":71,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Weekly Treasury Inflation-Indexed Securities","press_release":false}
{"id":72,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Daily Treasury Inflation-Indexed Securities","press_release":false}
{"id":78,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"St. Louis Monthly Reserves and Monetary Base","press_release":false,"link":"http://research.stlouisfed.org/publications/mt/"}
{"id":79,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"St. Louis Bi-Weekly Reserves and Monetary Base","press_release":false,"link":"http://research.stlouisfed.org/publications/usfd/"}
{"id":80,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Treasury Bulletin","press_release":true,"link":"http://www.fiscal.treasury.gov/fsreports/rpt/treasBulletin/treasBulletin_home.htm"}
{"id":81,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Fiscal Year Budget Data","press_release":false,"link":"https://www.whitehouse.gov/omb/budget/Historicals"}
{"id":82,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Economic Report of the President","press_release":true,"link":"https://www.gpo.gov/fdsys/browse/collection.action?collectionCode=ERP"}
{"id":86,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Commercial Paper","press_release":true,"link":"http://www.federalreserve.gov/releases/cp/"}
{"id":87,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Transitional Euro Country Exchange Rates","press_release":false}
{"id":89,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Household Debt Service and Financial Obligations Ratios","press_release":true,"link":"http://www.federalreserve.gov/releases/housedebt/default.htm"}
{"id":91,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Surveys of Consumers","press_release":true,"link":"http://www.sca.isr.umich.edu/"}
{"id":92,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Selected Real Retail Sales Series","press_release":false}
{"id":93,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Supplemental Estimates, Motor Vehicles","press_release":true,"link":"https://www.bea.gov/data/gdp/gross-domestic-product#collapse86"}
{"id":94,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Survey of Secondary Market Prices and Yields, and Interest Rates for Home Loans","press_release":true}
{"id":95,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Manufacturer's Shipments, Inventories, and Orders (M3) Survey","press_release":true,"link":"http://www.census.gov/indicator/www/m3/"}
{"id":97,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"New Residential Sales","press_release":true,"link":"http://www.census.gov/construction/nrs/"}
{"id":99,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Budget and Economic Outlook","press_release":true,"link":"http://www.cbo.gov/topics/budget/budget-and-economic-outlook"}
{"id":100,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Seasonal Credit Rate","press_release":false,"link":"https://www.frbdiscountwindow.org/Home/Pages/Discount-Rates/Historical-Discount-Rates"}
{"id":101,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"FOMC Press Release","press_release":true,"link":"http://www.federalreserve.gov/fomc/"}
{"id":102,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Wall Street Journal","press_release":true,"link":"http://online.wsj.com/public/us"}
{"id":103,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Discount Rate Meeting Minutes","press_release":true,"link":"http://www.federalreserve.gov/monetarypolicy/discountrate.htm"}
{"id":104,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Federal Reserve Bulletin","press_release":true,"link":"https://www.federalreserve.gov/publications/bulletin.htm"}
{"id":105,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"St. Louis Weekly Reserves and Monetary Base","press_release":false,"link":"http://research.stlouisfed.org/publications/usfd/"}
{"id":106,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"M2 Own Rate","press_release":false}
{"id":107,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Multifactor Productivity Trends in Manufacturing","press_release":true,"link":"http://www.bls.gov/mfp"}
{"id":109,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"State Coincident Indexes","press_release":true,"link":"https://www.phil.frb.org/research-and-data/regional-economy/indexes/coincident/"}
{"id":110,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Personal Income by State","press_release":true,"link":"https://www.bea.gov/data/income-saving/personal-income-by-state"}
{"id":111,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Annual Estimates of the Population of Metropolitan and Micropolitan Statistical Areas","press_release":false,"link":"http://www.census.gov/popest/"}
{"id":112,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"State Employment and Unemployment","press_release":true,"link":"http://www.bls.gov/sae"}
{"id":113,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Metropolitan Area Employment and Unemployment","press_release":true,"link":"http://www.bls.gov/sae/"}
{"id":116,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Unemployment in States and Local Areas (all other areas)","press_release":false,"link":"http://www.bls.gov/lau/home.htm","notes":"The Local Area Unemployment Statistics release include monthly and annual-average estimates of civilian labor force, employed people, unemployed people, and unemployment rates for different geographies. These data are based on the Current Population Survey (CPS), the household survey that is the source of the national unemployment rate. For more details, see the frequently asked questions here: https://www.bls.gov/lau/laufaq.htm."}
{"id":118,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Annual Estimates of the Population for the U.S. and States, and for Puerto Rico","press_release":false,"link":"http://www.census.gov/popest/"}
{"id":119,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Annual Estimates of the Population for Counties","press_release":false,"link":"http://www.census.gov/popest/"}
{"id":121,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"H.6 Historical Data","press_release":false,"link":"http://www.federalreserve.gov/releases/h6/hist/"}
{"id":122,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"H.4.1 Factors Affecting Reserve Balances (data not included in press release)","press_release":false}
{"id":131,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"G.13 Selected Interest Rates","press_release":true,"link":"http://federalreserve.gov/releases/g13/","notes":"With the issue dated January 8, 2002 (containing data for December 2001), the Federal Reserve ceased publication of the monthly G.13 statistical release.  Monthly interest rates continue to be available on the H.15 release."}
{"id":138,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"BEA Regions Employment and Unemployment","press_release":false}
{"id":140,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Gross Domestic Product (GDP) by State","press_release":true,"link":"https://www.bea.gov/data/gdp/gdp-state"}
{"id":143,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Annual Survey of State Government Tax Collections","press_release":false,"link":"https://www.census.gov/programs-surveys/stc.html"}
{"id":144,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Residential Vacancies and Homeownership Annual Statistics","press_release":false,"link":"http://www.census.gov/housing/hvs/"}
{"id":148,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Housing Units Authorized By Building Permits","press_release":false,"link":"https://www.census.gov/construction/bps/"}
{"id":152,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Health Insurance Coverage","press_release":false,"link":"https://www.census.gov/data/tables/time-series/demo/health-insurance/historical-series/hib.html"}
{"id":153,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"BEA Regions Health Insurance Coverage","press_release":false,"link":"http://www.census.gov/data/tables/time-series/demo/health-insurance/historical-series/hib.html"}
{"id":165,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Australian Foreign Exchange Transactions","press_release":false}
{"id":166,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"German Foreign Exchange Intervention","press_release":false}
{"id":167,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Italian Foreign Exchange Intervention","press_release":false}
{"id":168,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Swiss Foreign Exchange Intervention","press_release":false}
{"id":169,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Turkish Foreign Exchange Intervention","press_release":false}
{"id":170,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"U.S. Foreign Exchange Intervention","press_release":false}
{"id":171,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"House Price Index","press_release":false,"link":"http://www.fhfa.gov/DataTools/Downloads/Pages/House-Price-Index.aspx"}
{"id":172,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Japan Foreign Exchange Intervention","press_release":false,"link":"http://www.mof.go.jp/english/international_policy/reference/feio/"}
{"id":173,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"BEA Regions Housing Units Authorized By Building Permits","press_release":false,"link":"https://www.census.gov/construction/bps/"}
{"id":175,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Personal Income by County and Metropolitan Area","press_release":true,"link":"https://www.bea.gov/data/income-saving/personal-income-county-metro-and-other-areas"}
{"id":178,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Mexican Foreign Exchange Intervention","press_release":false}
{"id":179,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Quarterly Retail E-Commerce Sales","press_release":true,"link":"http://www.census.gov/mrts/www/ecomm.html","notes":"Link to the survey provided by the Census https://census.gov/retail/mrts/www/data/pdf/ec_current.pdf"}
{"id":180,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Unemployment Insurance Weekly Claims Report","press_release":true,"link":"http://www.dol.gov/ui/data.pdf"}
{"id":183,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Gasoline and Diesel Fuel Update","press_release":false,"link":"http://www.eia.gov/petroleum/gasdiesel/"}
{"id":185,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Interest on Required Balances and Excess Balances","press_release":false,"link":"http://www.federalreserve.gov/monetarypolicy/reqresbalances.htm"}
{"id":186,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"G.5A Foreign Exchange Rates","press_release":true,"link":"http://www.federalreserve.gov/releases/g5a/"}
{"id":187,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"St. Louis Fed Financial Stress Index","press_release":false,"notes":"To obtain detailed information regarding the construction of the St. Louis Financial Stress Index, please see the online appendix at\r\nhttps://files.stlouisfed.org/files/htdocs/publications/net/NETJan2010Appendix.pdf"}
{"id":188,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"U.S. Import and Export Price Indexes","press_release":true,"link":"http://www.bls.gov/mxp/"}
{"id":189,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Standard & Poors","press_release":false,"link":"https://us.spindices.com/indices/equity/sp-500"}
{"id":190,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Primary Mortgage Market Survey","press_release":true,"link":"http://www.freddiemac.com/pmms/"}
{"id":191,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Senior Loan Officer Opinion Survey on Bank Lending Practices","press_release":true,"link":"http://www.federalreserve.gov/boarddocs/SnLoanSurvey/","notes":"For further information, please refer to the Board of Governors of the Federal Reserve System's Senior Loan Officer Opinion Survey on Bank Lending Practices release, online at http://www.federalreserve.gov/boarddocs/SnLoanSurvey/."}
{"id":192,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Job Openings and Labor Turnover","press_release":true,"link":"http://www.bls.gov/jlt/"}
{"id":193,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Money Velocity","press_release":false}
{"id":194,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"ADP National Employment Report","press_release":true,"link":"http://www.adpemploymentreport.com/"}
{"id":196,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Wilshire Indexes","press_release":false,"link":"http://www.wilshire.com/Indexes/"}
{"id":197,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Dow Jones Averages","press_release":false,"link":"https://us.spindices.com/index-family/us-equity/dow-jones-averages"}
{"id":198,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Kansas City Financial Stress Index","press_release":true,"link":"http://www.kansascityfed.org/research/indicatorsdata/kcfsi/"}
{"id":199,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"S&P/Case-Shiller Home Price Indices","press_release":true,"link":"https://us.spindices.com/index-family/sp-corelogic-case-shiller/sp-corelogic-case-shiller-composite"}
{"id":200,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"CBOE Market Statistics","press_release":false,"link":"http://www.cboe.com/data/mktstat.aspx"}
{"id":201,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"International Indexes of Consumer Prices","press_release":false,"link":"http://www.bls.gov/fls/intl_consumer_prices.htm"}
{"id":202,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"International Unemployment Rates and Employment Indexes","press_release":false,"link":"http://www.bls.gov/fls/intl_unemployment_rates_monthly.htm"}
{"id":203,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"International Comparisons of Annual Labor Force Statistics","press_release":false,"link":"http://www.bls.gov/fls/flscomparelf.htm"}
{"id":204,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"International Comparisons of GDP per Capita and per Hour","press_release":true,"link":"http://www.bls.gov/fls/intl_gdp_capita_gdp_hour.htm"}
{"id":205,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Main Economic Indicators","press_release":false,"link":"http://www.oecd-ilibrary.org/economics/data/main-economic-indicators/main-economic-indicators-complete-database_data-00052-en"}
{"id":206,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Quarterly National Accounts","press_release":false,"link":"http://www.oecd-ilibrary.org/economics/data/oecd-national-accounts-statistics_na-data-en"}
{"id":208,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"State Leading Indexes","press_release":true,"link":"https://www.philadelphiafed.org/research-and-data/regional-economy/indexes/leading/","notes":"The leading index for each state predicts the six-month growth rate of the state’s coincident index. In addition to the coincident index, the models include other variables that lead the economy: state-level housing permits (1 to 4 units), state initial unemployment insurance claims, delivery times from the Institute for Supply Management (ISM) manufacturing survey, and the interest rate spread between the 10-year Treasury bond and the 3-month Treasury bill."}
{"id":209,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"ICE BofA Indices","press_release":false,"link":"https://www.theice.com/market-data/indices"}
{"id":212,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Spot Prices","press_release":false,"link":"http://www.eia.doe.gov/dnav/pet/pet_pri_spt_s1_d.htm"}
{"id":216,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"E.2 Survey of Terms of Business Lending","press_release":true,"link":"http://www.federalreserve.gov/releases/e2/","notes":"These data are collected during the middle month of each quarter and are released in the middle of the succeeding month."}
{"id":219,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Chicago Fed National Activity Index","press_release":true,"link":"http://www.chicagofed.org/webpages/publications/cfnai/index.cfm"}
{"id":221,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Chicago Fed National Financial Conditions Index","press_release":false,"link":"http://www.chicagofed.org/webpages/publications/nfci/index.cfm"}
{"id":228,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Quarterly Starts and Completions by Purpose and Design","press_release":false,"link":"http://www.census.gov/construction/nrc/pdf/quarterly_starts_completions.pdf"}
{"id":229,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Construction Spending","press_release":true,"link":"http://www.census.gov/construction/c30/c30index.html"}
{"id":230,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"International Comparisons of Manufacturing Productivity and Unit Labor Cost Trends","press_release":true,"link":"http://www.bls.gov/ilc/#productivity"}
{"id":231,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Charge-Off and Delinquency Rates on Loans and Leases at Commercial Banks","press_release":true,"link":"http://www.federalreserve.gov/releases/chargeoff/default.htm"}
{"id":234,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"World Development Indicators","press_release":false,"link":"http://data.worldbank.org/data-catalog/world-development-indicators","notes":"The primary World Bank collection of development indicators, compiled from officially-recognized international sources. It presents the most current and accurate global development data available, and includes national, regional and global estimates."}
{"id":236,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Monthly Housing Affordability Index","press_release":true,"link":"http://www.realtor.org/research/research/housinginx"}
{"id":238,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Financial Soundness Indicators","press_release":false,"link":"http://data.imf.org/?sk=9F855EAE-C765-405E-9C9A-A9DC2C1FEE47","notes":"The Financial Soundness Indicators (FSIs) were developed by the IMF, together with the international community, with the aim of supporting macroprudential analysis and assessing strengths and vulnerabilities of financial systems.\r\n \r\nThe website, hosted by the Statistics Department of the IMF, disseminates data and metadata on selected FSIs provided by participating countries. For a description of the various FSIs, as well as the consolidation basis, consolidation adjustments, and accounting rules followed, please refer to the “Concepts and Definitions” document (http://data.imf.org/?sk=9F855EAE-C765-405E-9C9A-A9DC2C1FEE47). The Statistics Department will steadily increase the number of countries reporting FSIs for dissemination on this site.\r\n\r\nReporting countries compile FSI data presented on this website by using different methodologies, which may also vary for different points in time for the same country. Users are advised to consult the accompanying metadata (http://data.imf.org/?sk=9F855EAE-C765-405E-9C9A-A9DC2C1FEE47) to conduct more meaningful cross-country comparisons or to assess the evolution of a given FSI for any of the countries."}
{"id":239,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"International Financial Statistics","press_release":false,"link":"http://www.imf.org/external/data.htm"}
{"id":240,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"World Economic Outlook","press_release":false,"link":"http://www.imf.org/external/ns/cs.aspx?id=28","notes":"The World Economic Outlook (WEO) database is created during the biannual WEO exercise, which begins in January and June of each year and results in the April and September WEO publication. Selected series from the publication are available in a database format.\r\n\r\nSee also, the World Economic Outlook Reports (http://www.imf.org/external/ns/cs.aspx?id=29)."}
{"id":242,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Recession Indicators Series","press_release":false,"link":"http://www.oecd.org/std/leading-indicators/oecdcompositeleadingindicatorsreferenceturningpointsandcomponentseries.htm","notes":"These time series are 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 and Organisation of Economic Development (OECD) Composite Leading Indicators: Reference Turning Points and Component Series data provided by the OECD at http://www.oecd.org/std/leading-indicators/oecdcompositeleadingindicatorsreferenceturningpointsandcomponentseries.htm. Our time series are composed of dummy variables that represent periods of expansion and recession. The NBER identifies months and quarters, while the OECD identifies months, 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 or the OECD. A value of 1 is a recessionary period, while a value of 0 is an expansionary period.\r\n\r\nThe 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. \r\n\r\nThe 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.\r\n\r\nThe 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.\r\n\r\nThe 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."}
{"id":245,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Summary Measures of the Foreign Exchange Value of the Dollar","press_release":true,"link":"http://www.federalreserve.gov/releases/h10/summary/default.htm"}
{"id":249,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Income and Poverty in the United States","press_release":true,"link":"http://www.census.gov/topics/income-poverty/income.html"}
{"id":251,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Harmonized Indices of Consumer Prices (HICP)","press_release":false,"link":"https://ec.europa.eu/eurostat/web/hicp"}
{"id":253,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"ICE Libor Rates","press_release":false,"link":"https://www.theice.com/iba/libor"}
{"id":254,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Travel Volume Trends","press_release":false,"link":"http://www.fhwa.dot.gov/policyinformation/travel_monitoring/tvt.cfm"}
{"id":256,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"LBMA Gold Price: Daily Prices","press_release":false,"link":"https://www.theice.com/iba/lbma-gold-price"}
{"id":257,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"NBER Macrohistory Database","press_release":false,"link":"http://www.nber.org/macrohistory/"}
{"id":258,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Penn World Table 7.1","press_release":false,"link":"http://www.rug.nl/research/ggdc/data/pwt/pwt-7.1"}
{"id":260,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"CredAbility Consumer Distress Index","press_release":false,"link":"http://www.clearpoint.org/resource-center/consumer-distress-index/"}
{"id":261,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"U.S. Recession Probabilities","press_release":true,"link":"http://pages.uoregon.edu/jpiger/us_recession_probs.htm/"}
{"id":262,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Failures and Assistance Transactions","press_release":false,"link":"http://www5.fdic.gov/hsob/SelectRpt.asp?EntryTyp=30&Header=1"}
{"id":263,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Debt to Gross Domestic Product Ratios","press_release":false,"notes":"These series are constructed using debt, deficit, and nominal GDP series."}
{"id":264,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Weekly U.S. and State Bond Prices, 1855-1865","press_release":false,"notes":"The data collection consists of weekly observations of bond prices for U.S. and state bonds from January 1855 through November 1865. The data are drawn from the “Notes on the Money Market” section of The Bankers’ Magazine and Statistical Register; due to limitations of the magazine, The New York Times’ summary of daily trading on the New York Stock Exchange was used to complete each series in the best possible manner.\r\n\r\nFor a more thorough explanation of the collection as well as how it is understood in a historical context, see:\r\nDwyer, G.P, Jr., R.W. Hafer and W.E. Weber. (1999) “Weekly U.S. and State Bond Prices, 1855-1865,” Historical Methods (32:1): 37-42."}
{"id":266,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Bank of Japan Accounts","press_release":true,"link":"http://www.boj.or.jp/en/statistics/boj/other/ac/index.htm/"}
{"id":267,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"National Accounts - GDP (Eurostat)","press_release":true,"link":"http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=namq_10_gdp&lang=en"}
{"id":268,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"United Kingdom Main Aggregates of National Accounts","press_release":true,"link":"http://www.ons.gov.uk/ons/taxonomy/search/index.html?newquery=*&nscl=Main+Aggregates+of+National+Accounts&nscl-orig=Main+Aggregates+of+National+Accounts&content-type=publicationContentTypes&sortDirection=DESCENDING&sortBy=pubdate"}
{"id":269,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"National Accounts of Japan","press_release":true,"link":"http://www.esri.cao.go.jp/en/sna/menu.html"}
{"id":270,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Bankstats (Monetary & Financial Statistics)","press_release":true,"link":"https://www.bankofengland.co.uk/statistics/tables"}
{"id":271,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Weekly Financial Statements of the Eurosystem","press_release":true,"link":"http://www.ecb.int/press/pr/wfs/"}
{"id":274,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"University of Louisville and Oklahoma State University: LoDI National Index","press_release":true,"link":"http://uofllogistics.org/?project=the-lodi-index","notes":"The LoDI Index uses linear regression analysis to combine cargo volume data from rail, barge, air, and truck transit, along with various economic factors. The resulting indicator is designed to predict upcoming changes in the level of logistics and distribution activity in the US and is represented by a value between 1 and 100. An index at or above 50 represents a healthy level of activity in the industry\r\n\r\nThe Greater Louisville and National LoDI Indices were developed by researchers at the University of Louisville. Please contact Dr. Heragu (sunderesh.heragu@okstate.edu), now IE&M Department Head at Oklahoma State University, or Dr. DePuy (depuy@louisville.edu) for additional information."}
{"id":275,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Global Financial Development","press_release":false,"link":"http://data.worldbank.org/data-catalog/global-financial-development"}
{"id":279,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Economic Policy Uncertainty","press_release":false,"link":"http://www.policyuncertainty.com/"}
{"id":280,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Cass Freight Index Report","press_release":true,"link":"http://www.cassinfo.com/Transportation-Expense-Management/Supply-Chain-Analysis/Transportation-Indexes/Cass-Freight-Index.aspx"}
{"id":281,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Supplemental Estimates, Underlying Detail Tables","press_release":true,"link":"https://apps.bea.gov/iTable/index_UD.cfm"}
{"id":282,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Supplemental Estimates, Underlying Detail Tables, Spliced Series","press_release":false}
{"id":283,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"H.3 Aggregate Reserves of Depository Institutions and the Monetary Base  (data not included in press release)","press_release":false,"notes":"The Board of Governors discontinued the H.3 statistical release on September 17, 2020. For more information, please see the announcement posted on August 20, 2020 (https://www.federalreserve.gov/feeds/h3.html)."}
{"id":285,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Penn World Table 9.1","press_release":true,"link":"https://www.rug.nl/ggdc/"}
{"id":286,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Federal Recovery Programs and BEA Statistics","press_release":true,"link":"https://www.bea.gov/recovery"}
{"id":287,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Nikkei Indexes","press_release":false,"link":"http://indexes.nikkei.co.jp/en/nkave/index/profile?idx=nk225"}
{"id":288,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Quarterly Services Survey","press_release":true,"link":"http://www.census.gov/services/"}
{"id":289,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Service Annual Survey","press_release":true,"link":"https://www.census.gov/programs-surveys/sas.html"}
{"id":290,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Monthly Wholesale Trade: Sales and Inventories","press_release":true,"link":"http://www.census.gov/wholesale/index.html","notes":"The Census Bureau conducts the Monthly Wholesale Trade Survey (MWTS) to provide national estimates of monthly sales, end-of-month inventories, and inventories-to-sales ratios by kind of business for wholesale firms located in the United States. Specifically, the MWTS covers wholesale merchants who sell goods on their own account and include such businesses as wholesale merchants or jobbers, industrial distributors, exporters, and importers. Sales offices and branches maintained by manufacturing, refining, or mining firms for the purpose of marketing their products are not covered in this report. Also excluded is NAICS Industry Group 4251: Wholesale Electronic Markets and Agents and Brokers. (Description of the survey as provided by the Census, http://www2.census.gov/wholesale/pdf/mwts/currentwhl.pdf)"}
{"id":291,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Existing Home Sales","press_release":true,"link":"http://www.realtor.org/topics/existing-home-sales"}
{"id":292,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Chicago Fed Midwest Manufacturing Index","press_release":true,"link":"https://www.chicagofed.org/publications/cfmmi/index","notes":"The Chicago Fed Midwest Manufacturing Index (CFMMI) is a monthly estimate by major industry of manufacturing output in the Seventh Federal Reserve District states of lllinois, Indiana, Iowa, Michigan and Wisconsin. It is a composite index of 15 manufacturing industries that uses hours worked data to measure monthly changes in regional activity."}
{"id":295,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Sticky Wages and Sectoral Labor Comovement","press_release":false,"link":"http://dx.doi.org/10.1016/j.jedc.2008.08.003"}
{"id":296,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Housing Vacancies and Homeownership","press_release":true,"link":"http://www.census.gov/housing/hvs/"}
{"id":298,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Texas Employment Data","press_release":true,"link":"http://www.dallasfed.org/research/econdata/tx-emp.cfm"}
{"id":301,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Real Money Stock Measures","press_release":false}
{"id":302,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Cleveland Financial Stress Index","press_release":true,"link":"https://www.clevelandfed.org/en/newsroom-and-events/publications/economic-commentary/economic-commentary-archives/2012-economic-commentaries/ec-201204-the-cleveland-financial-stress-index-a-tool-for-monitoring-financial-stability.aspx","notes":"The CFSI is a coincident indicator of systemic stress, where a high value of CFSI indicates high systemic financial stress. Units of CFSI are expressed as standardized differences from the mean (z-scores).\r\nThe CFSI tracks stress in six types of markets: credit markets, equity markets, foreign exchange markets, funding markets, real estate markets, and securitization markets."}
{"id":304,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Interest Rate Spreads","press_release":false}
{"id":305,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Swiss National Bank Monthly Statistical Bulletin","press_release":true,"link":"https://data.snb.ch/en"}
{"id":306,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Swiss National Bank Historical Time Series","press_release":true,"link":"https://www.snb.ch/en/iabout/stat/statrep/statpubdis/id/statpub_histz_arch#t3","notes":"The series in this release are historical data updated on an infrequent basis.\r\n\r\nMore details about the definitions of the series can be found at http://www.snb.ch/en/mmr/reference/banken_book/source."}
{"id":308,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"State and Metro Area Employment, Hours, and Earnings","press_release":false,"link":"http://www.bls.gov/sae/","notes":"The Bureau of Labor Statistics (BLS) produces all of the unadjusted series in this release. The BLS only produces a selection of seasonally adjusted data; the remaining series are adjusted by The Federal Reserve Bank of St. Louis. Users of these data will find details of the adjustment method and which institution made the adjustment in the series notes."}
{"id":311,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Currency and Coin Services","press_release":false,"link":"http://www.federalreserve.gov/paymentsystems/coin_data.htm"}
{"id":313,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Sticky Price CPI","press_release":true,"link":"https://www.frbatlanta.org/research/inflationproject/stickyprice/"}
{"id":315,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Current Median CPI","press_release":true,"link":"https://www.clevelandfed.org/en/our-research/indicators-and-data/median-cpi.aspx"}
{"id":316,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"G.20 Finance Companies","press_release":true,"link":"http://www.federalreserve.gov/releases/g20/"}
{"id":317,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Weekly National Rates and Rate Caps","press_release":false,"link":"http://www.fdic.gov/regulations/resources/rates/index.html"}
{"id":319,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"BIS Effective Exchange Rate Indices","press_release":false,"link":"https://www.bis.org/statistics/eer/index.htm"}
{"id":320,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Tech Pulse","press_release":true,"link":"http://www.frbsf.org/economic-research/tech-pulse/","notes":"The Tech Pulse Index is a coincidence index of activity in the U.S. information technology sector. The index interpreted as the health of the tech sector. The indicators used to compute the index include investment in IT goods, consumption of personal computers and software, employment in the IT sector, industrial production of the technology sector, and shipments by the technology sector. For further information, please visit the Tech Pulse webpage at the Federal Reserve Bank of San Francisco at: http://www.frbsf.org/economic-research/tech-pulse/ ."}
{"id":321,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Empire State Manufacturing Survey","press_release":true,"link":"http://www.newyorkfed.org/survey/empire/empiresurvey_overview.html","notes":"Participants from across the state in a variety of industries respond to a questionnaire and report the change in a variety of indicators from the previous month. Respondents also state the likely direction of these same indicators six months ahead. April 2002 is the first report, although survey data date back to July 2001.\r\n\r\nThe survey is sent on the first day of each month to the same pool of about 200 manufacturing executives in New York State, typically the president or CEO. About 100 responses are received. Most are completed by the tenth, although surveys are accepted until the fifteenth."}
{"id":322,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Business Leaders Survey","press_release":true,"link":"http://www.newyorkfed.org/survey/business_leaders/bls_overview.html","notes":"The Business Leaders Survey is a monthly survey conducted by the Federal Reserve Bank of New York that asks companies across its District – which includes New York State, Northern New Jersey, and Fairfield County, Connecticut – about recent and expected trends in key business indicators. This survey is designed to parallel the Empire State Manufacturing Survey, though it covers a wider geography and the questions are slightly different. Participants from the service sector respond to a questionnaire and report on a variety of indicators' both in terms of recent and expected changes. While January 2014 is the first published report, survey responses date back to September of 2004 and all historical data are available on our website.\r\n\r\nThe survey is sent on the first business day of each month to the same pool of about 150 business executives, usually the president or CEO, in the region's service sector. In a typical month, about 100 responses are received by around the tenth of the month when the survey closes.\r\n\r\nRespondents come from a wide range of industries outside of the manufacturing sector, with the mix of respondents closely resembling the industry structure of the region. \r\n\r\nThe survey's headline index, general business activity, is a distinct question posed on the survey (as opposed to a composite of responses to other questions). Currently, no indexes are seasonally adjusted since none of the series exhibits stable seasonal patterns from a statistical perspective."}
{"id":323,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Trimmed Mean PCE Inflation Rate","press_release":true,"link":"http://www.dallasfed.org/research/pce/","notes":"The Trimmed Mean PCE inflation rate is an alternative measure of core inflation in the price index for personal consumption expenditures (PCE). It is calculated by staff at the Dallas Fed, using data from the Bureau of Economic Analysis (BEA)."}
{"id":325,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Credit to Non-Financial Sector","press_release":false,"link":"https://www.bis.org/statistics/totcredit.htm","notes":"All series on credit to the non-financial sector cover 40 economies, both advanced and emerging. They capture the outstanding amount of credit at the end of the reference quarter. Credit is provided by domestic banks, all other sectors of the economy and non-residents. In terms of financial instruments, credit covers the core debt, defined as loans, debt securities and currency & deposits."}
{"id":326,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Summary of Economic Projections","press_release":false,"link":"http://www.federalreserve.gov/monetarypolicy/fomccalendars.htm"}
{"id":327,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Debt Securities Statistics","press_release":false,"link":"https://www.bis.org/statistics/secstats.htm"}
{"id":328,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"NASDAQ","press_release":false,"link":"https://www.nasdaq.com/","notes":"National Association of Securities Dealers Automated Quotations"}
{"id":329,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Education Statistics","press_release":false,"link":"http://data.worldbank.org/data-catalog/ed-stats"}
{"id":330,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Educational Attainment","press_release":false,"link":"https://www.census.gov/programs-surveys/acs/","notes":"Multiyear estimates from the American Community Survey (ACS) are \"period\" estimates derived from a data sample collected over a period of time, as opposed to \"point-in-time\" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they  do  not  describe  any  specific day, month, or year within that time period.\r\n\r\nMultiyear  estimates  require  some  considerations  that  single-year  estimates  do  not.  For  example,  multiyear  estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010–2014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011–2015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.\r\n\r\nPlease see \"Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates\" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification. https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018.pdf"}
{"id":331,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Gross Domestic Product by Industry","press_release":true,"link":"https://www.bea.gov/data/gdp/gdp-industry"}
{"id":332,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Weekly and Hourly Earnings from the Current Population Survey","press_release":false,"link":"http://www.bls.gov/cps/earnings.htm","notes":"The earnings data are collected from one-quarter of the Current Population Survey CPS monthly sample and are limited to wage and salary workers. All self-employed workers are excluded.  Most series pertain to workers who usually work full time on their sole or primary job. \r\n\r\nEarnings data are available for all workers, with data available by age, race, Hispanic or Latino ethnicity, sex, occupation, usual full- or part-time status, educational attainment, and other characteristics."}
{"id":333,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Chicago Fed Midwest Economy Index","press_release":true,"link":"https://www.chicagofed.org/publications/mei/index","notes":"The Midwest Economy Index (MEI) is a monthly index designed to measure growth in nonfarm business activity in the Seventh Federal Reserve District. It serves as a regional counterpart to the Chicago Fed National Activity Index."}
{"id":334,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Labor Force Status Flows from the Current Population Survey","press_release":true,"link":"http://www.bls.gov/cps/cps_flows.htm"}
{"id":336,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Selected Property Price Series","press_release":false,"link":"https://www.bis.org/statistics/pp_selected.htm","notes":"These selected series have been rebased and are presented at a quarterly frequency and updated on a quarterly basis; where the frequency of the series collected is monthly, the quarterly data are calculated as the average of the monthly observations. In addition to the nominal price series, and their growth rates, the data set includes CPI-deflated versions of the series (and their growth rates)."}
{"id":337,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Federal Reserve Board of Governors Labor Market Conditions Index","press_release":false,"link":"http://www.federalreserve.gov/econresdata/notes/feds-notes/2014/updating-the-labor-market-conditions-index-20141001.html","notes":"As of August 3, 2017, updates of the labor market conditions index (LMCI) have been discontinued; the July 7, 2017 vintage is the final estimate from this model. We decided to stop updating the LMCI because we believe it no longer provides a good summary of changes in U.S. labor market conditions. Specifically, model estimates turned out to be more sensitive to the detrending procedure than we had expected, the measurement of some indicators in recent years has changed in ways that significantly degraded their signal content, and including average hourly earnings as an indicator did not provide a meaningful link between labor market conditions and wage growth.\r\n\r\nThe LMCI is derived from a dynamic factor model that extracts the primary common variation from 19 labor market indicators."}
{"id":339,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Transportation Services Index (TSI)","press_release":true,"link":"https://www.transtats.bts.gov/OSEA/TSI/"}
{"id":341,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Kansas City Fed Labor Market Conditions Indicators","press_release":true,"link":"http://www.kc.frb.org/research/indicatorsdata/lmci/index.cfm","notes":"The Kansas City Fed Labor Market Conditions Indicators (LMCI) are two monthly measures of labor market conditions based on 24 labor market variables. One indicator measures the level of activity in labor markets and the other indicator measures momentum in labor markets.\r\n\r\nA positive value indicates that labor market conditions are above their long-run average, while a negative value signifies that labor market conditions are below their long-run average."}
{"id":342,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Natural Gas Spot and Futures Prices (NYMEX)","press_release":true,"link":"http://www.eia.gov/dnav/ng/ng_pri_fut_s1_d.htm","notes":"Prices are based on delivery at the Henry Hub in Louisiana. Official daily closing prices at 2:30 p.m. from the trading floor of the New York Mercantile Exchange (NYMEX) for a specific delivery month."}
{"id":343,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Metro Area Economic Conditions Indexes","press_release":false,"link":"http://research.stlouisfed.org/wp/more/2014-046/"}
{"id":345,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Research Consumer Price Index","press_release":false,"link":"https://www.bls.gov/cpi/research-series/r-cpi-e-home.htm","notes":"The BLS calculates a research price index called the Consumer Price Index for Americans 62 years of age and older, or R-CPI-E. The R-CPI-E is used by those interested in measures of price change specifically based on the spending patterns of the elderly (as defined in the construction of this index). Official uses of the R-CPI-E have been considered by other government agencies but not implemented due to several limitations. These limitations must be considered and understood by potential users of the data, and any conclusions drawn from these analyses should be treated as tentative.\r\n\r\nSee the https://www.bls.gov/cpi/research-series/r-cpi-e-home.htm from more information."}
{"id":346,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Small Area Income and Poverty Estimates","press_release":true,"link":"https://www.census.gov/programs-surveys/saipe.html","notes":"Small Area Income and Poverty Estimates (SAIPE) are produced for school districts, counties, and states. The main objective of this program is to provide updated estimates of income and poverty statistics for the administration of federal programs and the allocation of federal funds to local jurisdictions. These estimates combine data from administrative records, postcensal population estimates, and the decennial census with direct estimates from the American Community Survey to provide consistent and reliable single-year estimates. These model-based single-year estimates are more reflective of current conditions than multi-year survey estimates."}
{"id":349,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"U.S. Transportation Data","press_release":false,"link":"http://www.transtats.bts.gov/osea/seasonaladjustment/"}
{"id":351,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Manufacturing Business Outlook Survey","press_release":true,"link":"https://www.philadelphiafed.org/research-and-data/regional-economy/business-outlook-survey/","notes":"The Manufacturing Business Outlook Survey is a monthly survey of manufacturers in the Third Federal Reserve District. Participants indicate the direction of change in overall business activity and in the various measures of activity at their plants: employment, working hours, new and unfilled orders, shipments, inventories, delivery times, prices paid, and prices received. The survey has been conducted each month since May 1968."}
{"id":352,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Nonmanufacturing Business Outlook Survey","press_release":true,"link":"https://www.philadelphiafed.org/research-and-data/regional-economy/nonmanufacturing-business-outlook-survey","notes":"The Nonmanufacturing Business Outlook Survey is a monthly survey of nonmanufacturers in the Third Federal Reserve District. Participants indicate the direction of change in overall business activity and in the various measures of activity at their firms, including new orders, sales or revenues, employment, prices, and capital expenditures. Respondents also provide their assessment of general business conditions over the next six months. The survey has been conducted each month since March 2011."}
{"id":353,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Alternative Measures of Labor Underutilization for States","press_release":true,"link":"http://www.bls.gov/lau/stalt.htm"}
{"id":354,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"An Arbitrage-Free Three-Factor Term Structure Model and the Recent Behavior of Long-Term Yields and Distant-Horizon Forward Rates","press_release":false,"link":"https://www.federalreserve.gov/data/three-factor-nominal-term-structure-model.htm","notes":"This research reviews a simple three-factor arbitrage-free term structure model estimated by Federal Reserve Board staff and reports results obtained from fitting this model to U.S. Treasury yields since 1990. The model ascribes a large portion of the decline in long-term yields and distant-horizon forward rates since the middle of 2004 to a fall in term premiums. A variant of the model that incorporates inflation data indicates that about two-thirds of the decline in nominal term premiums owes to a fall in real term premiums, but estimated compensation for inflation risk has diminished as well."}
{"id":355,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Minimum Wage Rates","press_release":false,"link":"http://www.dol.gov/whd/minimumwage.htm"}
{"id":356,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Fixed Assets","press_release":true,"link":"https://www.bea.gov/data/investment-fixed-assets"}
{"id":357,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Hours of Wage and Salary Workers on Nonfarm Payrolls by Sector","press_release":true,"link":"http://www.bls.gov/lpc/hoursdatainfo.htm"}
{"id":358,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Number of Exporters and Known Value for All Countries on a State-by-State Basis","press_release":true,"notes":"This release comes from the US Census Bureau's Foreign Trade Division. This data set contains state-level export data from the 50 states, the District of Columbia, Puerto Rico and the U.S. Virgin Islands to their international export partner countries. Each annual dataset displays the number of exporters between each state-country pair and the known value of exports from a state to a country in U.S. dollars."}
{"id":359,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"U.S. International Investment Position","press_release":true,"link":"https://www.bea.gov/data/intl-trade-investment/international-investment-position"}
{"id":360,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Health Care Satellite Account","press_release":false,"link":"https://www.bea.gov/products/health-care"}
{"id":362,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Quarterly Census of Employment and Wages","press_release":true,"link":"http://www.bls.gov/cew/home.htm"}
{"id":363,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Monthly Treasury Statement","press_release":true,"link":"https://www.fiscal.treasury.gov/fsreports/rpt/mthTreasStmt/current.htm"}
{"id":364,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"St. Louis Fed Price Pressures Measures","press_release":false}
{"id":365,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Primary Commodity Prices","press_release":false,"link":"https://www.imf.org/external/np/res/commod/index.aspx","notes":"Benchmark prices which are representative of the global market. They are determined by the largest exporter of a given commodity. Prices are period averages in nominal U.S. dollars. Price indices are based in 2005 (average of 2005 = 100)."}
{"id":366,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Asia and Pacific Regional Economic Outlook","press_release":false,"link":"http://data.imf.org/?sk=ABFF6C02-73A8-475C-89CC-AD515033E662","notes":"APD Regional Economic Outlook provides information on recent economic developments and prospects for countries in Asia and the Pacific."}
{"id":367,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Western Hemisphere Regional Economic Outlook","press_release":false,"link":"http://data.imf.org/?sk=3E40CD07-7BD1-404F-BFCE-24018D2D85D2"}
{"id":368,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Middle East and Central Asia Regional Economic Outlook","press_release":false,"link":"http://data.imf.org/?sk=4CC54C86-F659-4B16-ABF5-FAB77D52D2E6&ss=1390030109571","notes":"The IMF’s Middle East and Central Asia Department (MCD) countries and territories comprise Afghanistan, Algeria, Armenia, Azerbaijan, Bahrain, Djibouti, Egypt, Georgia, Iran, Iraq, Jordan, Kazakhstan, Kuwait, the Kyrgyz Republic, Lebanon, Libya, Mauritania, Morocco, Oman, Pakistan, Qatar, Saudi Arabia, Somalia, Sudan, Syria, Tajikistan, Tunisia, Turkmenistan, the United Arab Emirates, Uzbekistan, the West Bank and Gaza, and Yemen.\r\n\r\nMore information about forecasting methodology is available at http://data.imf.org/?sk=4CC54C86-F659-4B16-ABF5-FAB77D52D2E6&ss=1390288795525.\r\n\r\nThe base year for constant prices differs by nation. More information is available at https://www.imf.org/external/pubs/ft/weo/2015/02/weodata/co.pdf."}
{"id":369,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Sub-Saharan Africa Regional Economic Outlook","press_release":false,"link":"http://data.imf.org/?sk=5778F645-51FB-4F37-A775-B8FECD6BC69B","notes":"The Sub-Saharan Africa Regional Economic Outlook provides information on recent economic developments and prospects for countries in Sub-Saharan Africa. Data for the REO for Sub-Saharan Africa is prepared in conjunction with the semi-annual World Economic Outlook exercises, spring and fall. Data are consistent with the projections underlying the WEO. REO aggregate data may differ from WEO aggregates due to differences in group membership. Composite data for country groups are weighted averages of data for individual countries. Arithmetic weighted averages are used for all concepts except for inflation and broad money, for which geometric averages are used. PPP GDP weights from the WEO database are used for the aggregation of real GDP growth, real non-oil GDP growth, real per capita GDP growth, investment, national savings, broad money, claims on the nonfinancial private sector, and real and nominal effective exchange rates. Aggregates for other concepts are weighted by GDP in U.S. dollars at market exchange rates."}
{"id":370,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Financial Access Survey","press_release":false,"link":"http://data.imf.org/?sk=E5DCAB7E-A5CA-4892-A6EA-598B5463A34C","notes":"The Financial Access Survey is the sole source of global supply-side data on financial inclusion, encompassing internationally-comparable basic indicators of financial access and usage. In addition to providing policy makers and researchers with annual geographic and demographic data access on basic consumer financial services worldwide, the survey is the data source for the G-20 Basic Set of Financial Inclusion Indicators endorsed by the G-20 Leaders at the Los Cabos Summit of June 2012."}
{"id":371,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Hornstein-Kudlyak-Lange Non-Employment Index","press_release":true,"link":"https://www.richmondfed.org/research/national_economy/non_employment_index","notes":"The Hornstein-Kudlyak-Lange Non-Employment Index (NEI) is an alternative to the standard unemployment rate that includes all non-employed individuals and accounts for persistent differences in their labor market attachment. It provides a more comprehensive reading of labor market health and is based on research first published by Richmond Fed economists Andreas Hornstein and Marianna Kudlyak, and McGill University economist Fabian Lange."}
{"id":372,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Chicago Fed Survey of Business Conditions","press_release":true,"link":"https://www.chicagofed.org/publications/cfsbc/index","notes":"What is the Survey of Business Conditions?\r\nBusiness contacts in the Seventh Federal Reserve District are asked to rate how various business indicators changed from a month ago along a seven-point scale ranging from \"large increase\" to \"large decrease.\" A series of diffusion indexes summarizing the distribution of responses is then calculated.\r\n\r\nHow are the indexes constructed?\r\nRespondents' answers on the seven-point scale are assigned a numeric value ranging from +3 to –3. Each diffusion index is calculated as the difference between the number of respondents with answers above their respective average responses and the number of respondents with answers below their respective average responses, divided by the total number of respondents. The index is then multiplied by 100 so that it ranges from +100 to −100 and will be +100 if every respondent provides an above-average answer and –100 if every respondent provides a below average answer. Respondents with no prior history of responses are excluded from the calculation.\r\n\r\nWhat do the numbers mean?\r\nRespondents' respective average answers to a question can be interpreted as representing their historical trends, or long-run averages. Thus, zero index values indicate that, on balance, activity, hiring, capital spending, and cost pressures are growing at their trend rates or that outlooks are neutral. Positive index values indicate above-average growth (or optimistic outlooks) on balance, and negative values indicate below-average growth (or pessimistic outlooks) on balance."}
{"id":373,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"GDP-Based Recession Indicator Index","press_release":true,"link":"http://econbrowser.com/recession-index","notes":"This index measures the probability that the U.S. economy was in a recession during the indicated quarter.  It is based on a mathematical description of the way that recessions differ from expansions."}
{"id":374,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Texas Manufacturing Outlook Survey","press_release":true,"link":"https://www.dallasfed.org/research/surveys/tmos.aspx","notes":"The Texas Manufacturing Outlook Survey (TMOS) is a monthly survey of area manufacturers. Firm executives report on how business conditions have changed for a number of indicators, such as production, new orders, employment, prices and company outlook. Respondents are also asked to report on how they perceive broader economic conditions to have changed (general business activity). For all questions, participants are asked whether the indicator has increased, decreased or remained unchanged. Answers cover changes over the previous month and expectations for activity six months into the future. Participants are given the opportunity to submit comments on current issues that may be affecting their business."}
{"id":375,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Overnight Bank Funding Rate Data","press_release":false,"link":"https://apps.newyorkfed.org/markets/autorates/obfr"}
{"id":376,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Texas Service Sector Outlook Survey","press_release":true,"link":"http://dallasfed.org/microsites/research/surveys/tssos/index.cfm","notes":"The Texas Service Sector Outlook Survey (TSSOS) is a monthly survey of area service sector businesses. Firm executives report on how business conditions have changed for a number of indicators such as revenue, employment, prices and company outlook. Respondents are also asked to report on how they perceive broader economic conditions to have changed (general business activity). For all questions, participants are asked whether the indicator has increased, decreased or remained unchanged. Answers cover changes over the previous month and expectations for activity six months into the future. Participants are given the opportunity to submit comments on current issues that may be affecting their business.\r\n\r\nAbout 230 service-providing firms regularly participate in TSSOS, which began collecting data in January 2007. Respondents are broadly representative of service-producing industries in the private sector. TSSOS includes a breakout for respondents in the retail and wholesale sectors, called the Texas Retail Outlook Survey (TROS). TSSOS questionnaires are electronically transmitted to respondents in the middle of each month, and answers are collected over seven business days. TROS respondents receive a slightly different questionnaire, but the survey period and processing is the same.\r\n\r\nThe service sector makes up the bulk of the Texas economy, accounting for 59 percent of private-sector activity and employing close to 7 million workers. Retailers and wholesalers make up 12 percent of Texas output and account for 1.6 million jobs. Despite the service sector's prominence, there are few timely measures of changes in service sector activity at the state level. TSSOS fills this regional data gap. TSSOS and its retail component, TROS, are highly correlated with monthly changes in regional economic indicators such as private service sector employment, retail employment and retail sales (see related article below)."}
{"id":377,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Texas Retail Outlook Survey","press_release":true,"link":"http://dallasfed.org/microsites/research/surveys/tssos/index.cfm#tros","notes":"The Texas Retail Outlook Survey (TROS) is a monthly survey of area service sector businesses, specifically retail businesses. Firm executives report on how business conditions have changed for a number of indicators such as revenue, employment, prices and company outlook. Respondents are also asked to report on how they perceive broader economic conditions to have changed (general business activity). For all questions, participants are asked whether the indicator has increased, decreased or remained unchanged. Answers cover changes over the previous month and expectations for activity six months into the future. Participants are given the opportunity to submit comments on current issues that may be affecting their business.\r\n\r\nAbout 230 service-providing firms regularly participate in TSSOS, which began collecting data in January 2007. Respondents are broadly representative of service-producing industries in the private sector. TSSOS includes a breakout for respondents in the retail and wholesale sectors, called the Texas Retail Outlook Survey (TROS). TSSOS questionnaires are electronically transmitted to respondents in the middle of each month, and answers are collected over seven business days. TROS respondents receive a slightly different questionnaire, but the survey period and processing is the same.\r\n\r\nThe service sector makes up the bulk of the Texas economy, accounting for 59 percent of private-sector activity and employing close to 7 million workers. Retailers and wholesalers make up 12 percent of Texas output and account for 1.6 million jobs. Despite the service sector's prominence, there are few timely measures of changes in service sector activity at the state level. TSSOS fills this regional data gap. TSSOS and its retail component, TROS, are highly correlated with monthly changes in regional economic indicators such as private service sector employment, retail employment and retail sales (see related article below)."}
{"id":378,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Federal Funds Data","press_release":false,"link":"https://apps.newyorkfed.org/markets/autorates/fed%20funds"}
{"id":379,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Temporary Open Market Operations","press_release":false,"link":"https://apps.newyorkfed.org/markets/autorates/temp"}
{"id":382,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Real Trade-Weighted Value of the Dollar by U.S. State","press_release":true,"link":"https://www.dallasfed.org/research/econdata/rtwvd.aspx","notes":"These indexes calculate the inflation-adjusted value of the U.S. dollar against the currencies of countries to which the state exports. The real exchange rates are aggregated across countries for each state using the annual average export share to the country. For the most recent year where export share data is not available, the prior year' number is used instead. The indexes should allow analysts to more precisely identify the exchange rate movements that most affect demand for a state's exports. For more information visit http://www.dallasfed.org/research/econdata/rtwvd.cfm."}
{"id":383,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Market Value of U.S. Government Debt","press_release":true,"link":"http://www.dallasfed.org/research/econdata/govdebt.cfm","notes":"For many uses, market value more accurately represents the debt burden faced by the U.S. government than the par value. The par value of government debt, which is reported by the U.S. Treasury Department, reflects interest rates at the time the debt was issued while the market value is adjusted to reflect market interest rates as of the observed period. Federal Reserve Bank of Dallas researchers calculate the market value of U.S. government debt series."}
{"id":384,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Characteristics of Minimum Wage Workers","press_release":false,"link":"http://www.bls.gov/cps/earnings.htm#minwage"}
{"id":386,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"GDPNow","press_release":true,"link":"https://www.frbatlanta.org/cqer/research/gdpnow.aspx?panel=1","notes":"The growth rate of real gross domestic product (GDP) is a key indicator of economic activity, but the official estimate is released with a delay. The Federal Reserve Bank of Atlanta's GDPNow forecasting model provides a \"nowcast\" of the official estimate prior to its release."}
{"id":387,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Minimum Wage Rate by State","press_release":false,"link":"https://www.dol.gov/whd/minwage/america.htm"}
{"id":388,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Banking and Monetary Statistics, 1914-1941","press_release":false,"link":"https://fraser.stlouisfed.org/title/38","notes":"Contains banking and monetary statistics previously appearing in the Annual Reports of the Board of Governors of the Federal Reserve and the Federal Reserve Bulletin. Includes data on the condition and operation of all banks as well as statistics on non-bank financial institutions, currency, money rates, securities, consumer credit, gold, and international financial developments."}
{"id":389,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"A Millennium of Macroeconomic Data for the UK","press_release":false,"link":"https://www.bankofengland.co.uk/statistics/research-datasets"}
{"id":391,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Personal Consumption Expenditures by State","press_release":true,"link":"https://www.bea.gov/data/consumer-spending/state","notes":"Release contains both per capita personal consumption expenditures and personal consumption expenditures by state. This data set also contains sector based data each state."}
{"id":394,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Spliced Oil Price","press_release":true,"notes":"The Spliced Oil Price release was created by the Federal Reserve Bank of St. Louis to expand the history of the monthly West Texas Intermediate oil price series in FRED. We simply combined these two FRED series: https://fred.stlouisfed.org/series/OILPRICE and https://fred.stlouisfed.org/series/MCOILWTICO. From January 1946 through July 2013, the series used is OILPRICE. From August 2013 to present, the series used is MCOILWTICO."}
{"id":395,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Families and Living Arrangements","press_release":false,"link":"https://www.census.gov/topics/families/families-and-households.html"}
{"id":396,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"G.17.2 Retail Instalment Credit at Furniture and Household Appliance Stores","press_release":true}
{"id":397,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Gross Domestic Product (GDP) by County, Metro, and Other Areas","press_release":true,"link":"https://www.bea.gov/data/gdp/gdp-county-metro-and-other-areas"}
{"id":399,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Net Migration Flows for Counties and County Equivalents in the United States","press_release":true,"link":"https://www.census.gov/topics/population/migration/guidance/county-to-county-migration-flows.html","notes":"The American Community Survey (ACS) and the Puerto Rico Community Survey (PRCS) asked members of households whether they lived in the same residence 1 year ago. For people who lived in a different residence, the location of their previous residence is collected.\r\n\r\nACS uses a series of monthly samples to produce estimates. Estimates for geographies of population 65,000 or greater are published annually using these monthly samples. Three years of monthly samples are needed to publish estimates for geographies of 20,000 or greater and five years for smaller geographies. The 5-year dataset is used for the county-to-county migration flows since many counties have a population less than 20,000. The first 5-year ACS dataset covers the years 2005 through 2009.\r\n\r\nMultiyear estimates from the American Community Survey (ACS) are \"period\" estimates derived from a data sample collected over a period of time, as opposed to \"point-in-time\" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they  do  not  describe  any  specific day, month, or year within that time period.\r\n\r\nMultiyear  estimates  require  some  considerations  that  single-year  estimates  do  not.  For  example,  multiyear  estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010–2014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011–2015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.\r\n\r\nPlease see \"Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates\" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification. https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018.pdf"}
{"id":400,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"St. Louis Fed Economic News Index","press_release":false,"link":"https://research.stlouisfed.org/publications/review/2016/12/05/a-macroeconomic-news-index-for-constructing-nowcasts-of-u-s-real-gross-domestic-product-growth/"}
{"id":401,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"SOI Tax Stats - Historical Data Tables","press_release":false,"link":"https://www.irs.gov/statistics/soi-tax-stats-historical-data-tables"}
{"id":402,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Corporate Bond Yield Curve","press_release":false,"link":"https://www.treasury.gov/resource-center/economic-policy/corp-bond-yield/Pages/Corp-Yield-Bond-Curve-Papers.aspx"}
{"id":403,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Real Personal Income for States and Metropolitan Areas","press_release":true,"link":"https://www.bea.gov/data/income-saving/real-personal-income-states-and-metropolitan-areas","notes":"This release contains regional data for States, Metropolitan Portion of States, Nonmetropolitan Portion of States, and Metropolitan Areas. The indicators in this data release include Real Personal Income, Real Per Capita Personal Income, Regional Price Parities, and Implicit Price Deflator."}
{"id":406,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Homeownership Rate","press_release":false,"notes":"The American Community Survey Homeownership Rate is computed by dividing the number of households that are owner-occupied by the total number of occupied housing units (ACS 5-year variables B25008_001E and B25008_002E from table B25008, respectively).\r\n\r\nA housing unit is owner-occupied if the owner or co-owner lives in the unit, even if it is mortgaged or not fully paid for. A housing unit is classified as occupied if (i) it is the current place of residence of the person or group of persons living in it at the time of interview or (ii) the occupants are only temporarily absent from the residence for two months or less (e.g., on vacation or a business trip). If all those staying in the unit at the time of the interview plan to stay there for two months or less, the unit is considered to be temporarily occupied and classified as \"vacant.\"\r\n\r\nMultiyear estimates from the American Community Survey (ACS) are \"period\" estimates derived from a data sample collected over a period of time, as opposed to \"point-in-time\" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they do not describe any specific day, month, or year within that time period.\r\n\r\nMultiyear estimates require some considerations that single-year estimates do not. For example, multiyear estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010-2014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011-2015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.\r\n\r\nPlease see \"Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates\" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification. https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018.pdf"}
{"id":408,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Disconnected Youth","press_release":false,"link":"https://www.census.gov/programs-surveys/acs/","notes":"Disconnected Youth represents the percentage of youth in a county who are between the ages of 16 and 19, who are not enrolled in school, and who are unemployed or not in the labor force.\r\n\r\nMultiyear estimates from the American Community Survey (ACS) are \"period\" estimates derived from a data sample collected over a period of time, as opposed to \"point-in-time\" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they  do  not  describe  any  specific day, month, or year within that time period.\r\n\r\nMultiyear  estimates  require  some  considerations  that  single-year  estimates  do  not.  For  example,  multiyear  estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010–2014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011–2015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.\r\n\r\nPlease see \"Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates\" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification. https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018.pdf"}
{"id":409,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Equifax Credit Quality","press_release":false,"notes":"Reprinted with permission. Copyright © 2016, Equifax. All rights reserved. Reproduction of median credit score per county in any form is prohibited except with the prior written permission of Equifax."}
{"id":410,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Offenses Known to Law Enforcement","press_release":false,"link":"https://ucr.fbi.gov/ucr-publications","notes":"The FBI's Uniform Crime Reporting (UCR) Program collects the number of offenses that come to the attention of law enforcement for violent crime and property crime, as well as data regarding clearances of these offenses. In addition, the FBI collects auxiliary information about these offenses (e.g., time of day of burglaries).\r\n\r\nViolent crime is composed of four offenses: murder and non-negligent manslaughter, rape, robbery, and aggravated assault. Violent crimes are defined in the UCR Program as those offenses that involve force or threat of force.\r\n\r\nProperty crime includes the offenses of burglary, larceny-theft, motor vehicle theft, and arson. The object of the theft-type offenses is the taking of money or property, but there is no force or threat of force against the victims."}
{"id":412,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Single Parent Households with Children","press_release":false,"notes":"The single-parent household rate is calculated as the sum of male and female single-parent households with their own children who are younger than 18-years of age divided by total households with their own children who are younger than 18-years of age (ACS 5-year variables S1101_C03_005E, S1101_C04_005E, and S1101_C01_005E respectively from table S1101).\r\n\r\nMultiyear estimates from the American Community Survey (ACS) are \"period\" estimates derived from a data sample collected over a period of time, as opposed to \"point-in-time\" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However,\r\nthey do not describe any specific day, month, or year within that time period.\r\n\r\nMultiyear estimates require some considerations that single-year estimates do not. For example, multiyear estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010-2014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011-2015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.\r\n\r\nPlease see \"Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates\" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification.\r\nhttps://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018.pdf"}
{"id":413,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Burdened Households","press_release":false,"notes":"Burdened households are those households who pay 30 percent or more of their household income on housing (such as rent or mortgage expenses).\r\n\r\nThis is calculated as the sum of households with a mortgage spending 30.0-34.9% of their income on selected monthly owner costs, households with a mortgage spending 35.0% or more of their income on selected monthly owner costs, households without a mortgage spending 30.0-34.9% of their income on selected monthly owner costs, households without a mortgage spending 35.0% or more of their income on selected monthly owner costs, households that rent spending 30.0-34.9% of their income on gross rent, and households that rent spending 35.0% or more of their income on gross rent (ACS 5-year variables DP04_0114E, DP04_0115E, DP04_0123E, DP04_0124E, DP04_0141E, and DP04_0142E respectively from table DP04) divided by the sum of the total number of households with a mortgage, the total number of households without a mortgage, and the total number of households that rent (ACS 5-year variables DP04_0110E, DP04_0117E, and DP04_0136E respectively from table DP04). Note that the calculation excludes households where selected monthly owner costs or gross rent cannot be calculated.\r\n\r\nSelected monthly owner costs are the sum of payments for mortgages, deeds of trust, contracts to purchase, or similar debts on the property (including payments for the first mortgage, second mortgages, home equity loans, and other junior mortgages); real estate taxes; fire, hazard, and flood insurance on the property; utilities (electricity, gas, and water and sewer); and fuels (oil, coal, kerosene, wood, etc.). It also includes, where appropriate, the monthly condominium fee for condominiums and mobile home costs (installment loan payments, personal property taxes, site rent, registration fees, and license fees).\r\n\r\nGross rent provides information on the monthly housing cost expenses for renters. Gross rent is the contract rent plus the estimated average monthly cost of utilities (electricity, gas, and water and sewer) and fuels (oil, coal, kerosene, wood, etc.) if these are paid by the renter (or paid for the renter by someone else). Gross rent is intended to eliminate differentials that result from varying practices with respect to the inclusion of utilities and fuels as part of the rental payment. The estimated costs of water and sewer, and fuels are reported on a 12-month basis but are converted to monthly figures for the tabulations.\r\n\r\nMultiyear estimates from the American Community Survey (ACS) are \"period\" estimates derived from a data sample collected over a period of time, as opposed to \"point-in-time\" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they do not describe any specific day, month, or year within that time period.\r\n\r\nMultiyear estimates require some considerations that single-year estimates do not. For example, multiyear estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010-2014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011-2015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.\r\n\r\nPlease see \"Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates\" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification. https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018.pdf"}
{"id":414,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Income Inequality","press_release":false,"notes":"This data represents the ratio of mean income for the highest quintile (top 20 percent) of earners divided by the mean income of the lowest quintile (bottom 20 percent) of earners.\r\n\r\nMultiyear estimates from the American Community Survey (ACS) are \"period\" estimates derived from a data sample collected over a period of time, as opposed to \"point-in-time\" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they  do  not  describe  any  specific day, month, or year within that time period.\r\n\r\nMultiyear  estimates  require  some  considerations  that  single-year  estimates  do  not.  For  example,  multiyear  estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010–2014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011–2015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.\r\n\r\nPlease see \"Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates\" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification. https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018.pdf"}
{"id":415,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Mean Commute Time","press_release":false,"link":"https://www.census.gov/programs-surveys/acs/","notes":"Mean commuting time is calculated by dividing the aggregate travel time to work for all workers (in minutes) by the total number of workers, 16-years old and older, who commute (ACS 5-year variables B08013_001E from table B08013 and B08012_001E from table B08012, respectively).\r\n\r\nMultiyear estimates from the American Community Survey (ACS) are \"period\" estimates derived from a data sample collected over a period of time, as opposed to \"point-in-time\" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they  do  not  describe  any  specific day, month, or year within that time period.\r\n\r\nMultiyear  estimates  require  some  considerations  that  single-year  estimates  do  not.  For  example,  multiyear  estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010–2014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011–2015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.\r\n\r\nPlease see \"Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates\" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification. https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018.pdf"}
{"id":416,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"County Poverty Status","press_release":false,"notes":"The percentage of population below the poverty level comes from American Community Survey (ACS) variable S1701_C03_001E in table S1701.\r\n\r\nMultiyear estimates from the American Community Survey (ACS) are \"period\" estimates derived from a data sample collected over a period of time, as opposed to \"point-in-time\" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they do not describe any specific day, month, or year within that time period.\r\n\r\nMultiyear estimates require some considerations that single-year estimates do not. For example, multiyear estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010-2014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011-2015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.\r\n\r\nPlease see \"Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates\" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification.\r\nhttps://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018.pdf"}
{"id":417,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Preventable Hospital Admissions","press_release":false,"link":"https://atlasdata.dartmouth.edu/static/research_data_archive","notes":"Discharges for ambulatory care sensitive conditions per 1,000 medicare enrollees."}
{"id":419,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Racial Dissimilarity Index","press_release":false,"notes":"The Racial Dissimilarity Index measures the percentage of a group's population in a county that would have to move Census tracts for each\r\ntract in the county to have the same percentage of that group as the whole county. Originally developed by Jahn, Schmid and Schrag [1947].\r\n\r\nMore information on measures of segregation can be found at https://dash.harvard.edu/handle/1/2958220\r\n\r\nMultiyear estimates from the American Community Survey (ACS) are \"period\" estimates derived from a data sample collected over a period of time, as opposed to \"point-in-time\" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they  do  not  describe  any  specific day, month, or year within that time period.\r\n\r\nMultiyear  estimates  require  some  considerations  that  single-year  estimates  do  not.  For  example,  multiyear  estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010–2014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011–2015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.\r\n\r\nPlease see \"Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates\" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification. https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018.pdf"}
{"id":426,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Status Report of U.S. Government Gold Reserve","press_release":false,"link":"https://www.transparency.treasury.gov/dataset/status-report-of-us-government-gold-reserve"}
{"id":427,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Moody's Daily Corporate Bond Yield Averages","press_release":false}
{"id":428,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"DHI Hiring Indicators","press_release":false,"link":"http://dhihiringindicators.com/"}
{"id":429,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"County Population Estimates By Race And Ethnicity","press_release":false,"notes":"Multiyear estimates from the American Community Survey (ACS) are \"period\" estimates derived from a data sample collected over a period of time, as opposed to \"point-in-time\" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they  do  not  describe  any  specific day, month, or year within that time period.\r\n\r\nMultiyear  estimates  require  some  considerations  that  single-year  estimates  do  not.  For  example,  multiyear  estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010–2014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011–2015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.\r\n\r\nPlease see \"Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates\" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification. https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018.pdf"}
{"id":430,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"County Median Age","press_release":false,"notes":"Multiyear estimates from the American Community Survey (ACS) are \"period\" estimates derived from a data sample collected over a period of time, as opposed to \"point-in-time\" estimates such as those from past decennial censuses. ACS 5-year estimate includes data collected over a 60-month period. The date of the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, they  do  not  describe  any  specific day, month, or year within that time period.\r\n\r\nMultiyear  estimates  require  some  considerations  that  single-year  estimates  do  not.  For  example,  multiyear  estimates released in consecutive years consist mostly of overlapping years and shared data. The 2010–2014 ACS 5-year estimates share sample data from 2011 through 2014 with the 2011–2015 ACS 5-year estimates. Because of this overlap, users should use extreme caution in making comparisons with consecutive years of multiyear estimates.\r\n\r\nPlease see \"Section 3: Understanding and Using ACS Single-Year and Multiyear Estimates\" on publication page 13 (file page 19) of the 2018 ACS General Handbook for a more thorough clarification. https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018.pdf"}
{"id":431,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Premature Death Rate","press_release":false,"link":"https://www.cdc.gov/nchs/nvss/deaths.htm","notes":"Premature crude death rate is the number of deaths where the deceased is younger than 75 years of age, divided by the population, then multiplied by 100,000. 75 years of age is the standard consideration of a premature death according to the CDC's definition of Years of Potential Life Loss. \r\n\r\nFor more information, see FAQs about death rates:\r\nhttps://wonder.cdc.gov/wonder/help/cmf.html#Frequently%20Asked%20Questions%20about%20Death%20Rates"}
{"id":432,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"New Patent Assignments","press_release":false,"link":"https://assignment.uspto.gov/patent/index.html#/patent/search"}
{"id":433,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Age-Adjusted Premature Death Rate","press_release":true,"link":"https://www.cdc.gov/nchs/nvss/deaths.htm","notes":"Age-adjusted death rates are weighted averages of the age-specific death rates, where the weights represent a fixed population by age. They are used to compare relative mortality risk among groups and over time. An age-adjusted rate represents the rate that would have existed had the age-specific rates of the particular year prevailed in a population whose age distribution was the same as that of the fixed population. Age-adjusted rates should be viewed as relative indexes rather than as direct or actual measures of mortality risk. \r\n\r\nPremature death rate is the number of deaths where the deceased is younger than 75 years of age, divided by the population, then multiplied by 100,000. 75 years of age is the standard consideration of a premature death according to the CDC's definition of Years of Potential Life Loss.\r\n\r\nFor more information, see FAQs about death rates:\r\nhttps://wonder.cdc.gov/wonder/help/cmf.html#Frequently%20Asked%20Questions%20about%20Death%20Rates"}
{"id":434,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Quarterly Financial Report","press_release":true,"link":"https://www.census.gov/econ/qfr/"}
{"id":435,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Advance Economic Indicators","press_release":true,"link":"https://www.census.gov/econ/indicators/index.html"}
{"id":436,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Monthly Retail Trade and Food Services","press_release":true,"link":"https://www.census.gov/retail/index.html"}
{"id":439,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Mean Household Wages Adjusted by Cost of Living","press_release":false,"link":"https://www.census.gov/programs-surveys/acs/","notes":"Mean household wages in real U.S. Dollars from the American Community Survey adjusted for cost of living using regional price parities from the U.S. Bureau of Economic Analysis' Real Personal Income for States and Metropolitan Areas."}
{"id":440,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Coinbase Index","press_release":false,"link":"https://am.coinbase.com/index"}
{"id":441,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Coinbase Cryptocurrencies","press_release":false,"link":"https://www.coinbase.com/charts?locale=en-US"}
{"id":442,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"LBMA Silver Price: Daily Prices","press_release":false,"link":"http://www.lbma.org.uk/pricing-and-statistics"}
{"id":443,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Business Formation Statistics","press_release":true,"link":"https://www.census.gov/econ/bfs/index.html","notes":"The Business Formation Statistics (BFS) are a product of the U.S. Census Bureau developed in research collaboration with economists affiliated with Board of Governors of the Federal Reserve System, Federal Reserve Bank of Atlanta, University of Maryland, and University of Notre Dame. \r\n\r\nThe Business Formation Statistics (BFS) provide timely and high frequency data on business applications and employer business formations.  The BFS measure business initiation activity (Business Application Series) as indicated by applications for an Employer Identification Number (EIN) on the IRS Form SS-4. The BFS also provide information on actual and projected employer business formations (Business Formation Series) that originate from these applications, based on the record of first payroll tax liability for an EIN. In addition, the BFS contain measures of delay in business starts as indicated by the average duration between the application for an EIN and the transition to an employer business.\r\n\r\nThe BFS currently cover the period starting from the third quarter of 2004 (2004q3) onwards at a quarterly frequency. The data are available nationally and by individual states."}
{"id":444,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"ICE Swap Rates","press_release":true,"link":"https://www.theice.com/iba/ice-swap-rate"}
{"id":445,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Secured Overnight Financing Rate Data","press_release":true,"link":"https://apps.newyorkfed.org/markets/autorates/sofr"}
{"id":446,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Labor Force Participation by State","press_release":true,"link":"https://www.bls.gov/lau/rdscnp16.htm"}
{"id":449,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"U.S. Trade in Goods by State, by NAICS-Based Product","press_release":true,"link":"https://www.census.gov/foreign-trade/statistics/state/index.html"}
{"id":450,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Quarterly Survey of Public Pensions","press_release":true,"link":"https://www.census.gov/programs-surveys/qspp.html"}
{"id":453,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Distributional Financial Accounts","press_release":false,"link":"https://www.federalreserve.gov/releases/efa/efa-distributional-financial-accounts.htm","notes":"The Distributional Financial Accounts (DFAs) provide a quarterly measure of the distribution of U.S. household wealth since 1989, based on a comprehensive integration of disaggregated household-level wealth data with official aggregate wealth measures. The data set contains the level and share of each balance sheet item on the Financial Accounts' household wealth table (Table B.101.h), for each of four percentile groups of wealth: the top 1 percent, the next 9 percent (i.e., 90th to 99th percentile), the next 40 percent (50th to 90th percentile), and the bottom half (below the 50th percentile). The quarterly frequency makes the data useful for studying the business cycle dynamics of wealth concentration--which are typically difficult to observe in lower-frequency data because peaks and troughs often fall between times of measurement. These data will be updated about 10 or 11 weeks after the end of each quarter, making them a timely measure of the distribution of wealth."}
{"id":454,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Average Price Data","press_release":true,"link":"https://www.bls.gov/cpi/factsheets/average-prices.htm"}
{"id":455,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Quarterly Summary of State & Local Tax Revenue","press_release":true,"link":"https://www.census.gov/programs-surveys/qtax.html","notes":"The Quarterly Summary of State and Local Government Tax Revenue provides quarterly estimates of state and local government tax revenue at a national level, as well as detailed tax revenue data for individual states. This quarterly survey has been conducted continuously since 1962. The information contained in this survey is the most current information available on a nationwide basis for government tax collections. \r\n\r\nFor more information about the survey, visit here: https://www.census.gov/programs-surveys/qtax/about.html\r\n\r\nA Special Note Concerning Revised Data:\r\nRevisions reflect tax collection amounts obtained from three general sources. State and local government respondents have submitted revisions to amounts as originally reported. In other cases, governments have reported data, which we used to replace data that were previously imputed or estimated. Finally, some of the revisions were compiled from government sources, both published and unpublished. For more information, see the survey's methodology here: https://www.census.gov/programs-surveys/qtax/technical-documentation/methodology.html"}
{"id":456,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Sahm Rule Recession Indicator","press_release":false,"link":"http://www.hamiltonproject.org/assets/files/Sahm_web_20190506.pdf","notes":"The Sahm Rule identifies signals related to the start of a recession when the three-month moving average of the national unemployment rate (U3) rises by 0.50 percentage points or more relative to its low during the previous 12 months."}
{"id":458,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Cotton Production in New England","press_release":false,"link":"https://www.nber.org/chapters/c1569.pdf","notes":"Data were gathered by the authors from various textile collections deposited at various museums and libraries on the East Coast, and collected from the original business records of textile mills in New England wherever possible. Preference was given to records that were complete and continuous for long periods, and reasonably intelligible.\r\n\r\nReporting techniques differed greatly from mill to mill. To make the data comparable, each mill's output was allocated uniformly over the months covered by the accounting period. The monthly figures were then summed to calendar years. The total cotton production for the region is estimated by adding the production of each individual mill with data available for the given period.\r\n\r\nMore details about the data are available in the book chapter \"The New England Textile Industry, 1825-60: Trends and Fluctuations\" (https://www.nber.org/chapters/c1569.pdf)."}
{"id":459,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Survey of Business Uncertainty","press_release":true,"link":"https://www.frbatlanta.org/research/surveys/business-uncertainty.aspx"}
{"id":460,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Seasonal Factors for Domestic Auto and Truck Production","press_release":true,"link":"https://www.federalreserve.gov/releases/g17/mvsf.htm"}
{"id":461,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"U.S. Energy‐Related CO2 Emissions","press_release":true,"link":"https://www.eia.gov/environment/emissions/carbon/index.php"}
{"id":462,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Housing Inventory Core Metrics","press_release":true,"link":"https://www.realtor.com/research/data/"}
{"id":463,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Market Hotness Index","press_release":true,"link":"https://www.realtor.com/research/reports/hottest-markets/"}
{"id":465,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Weekly Economic Index (Lewis-Mertens-Stock)","press_release":true,"link":"https://www.newyorkfed.org/research/policy/weekly-economic-index","notes":"The WEI is an index of real economic activity using timely and relevant high-frequency data. It represents the common component of ten different daily and weekly series covering consumer behavior, the labor market, and production. The WEI is scaled to the four-quarter GDP growth rate; for example, if the WEI reads -2 percent and the current level of the WEI persists for an entire quarter, we would expect, on average, GDP that quarter to be 2 percent lower than a year previously. \r\n\r\nThe WEI is a composite of 10 weekly economic indicators: Redbook same-store sales, Rasmussen Consumer Index, new claims for unemployment insurance, continued claims for unemployment insurance, adjusted income/employment tax withholdings (from Booth Financial Consulting), railroad traffic originated (from the Association of American Railroads), the American Staffing Association Staffing Index, steel production, wholesale sales of gasoline, diesel, and jet fuel, and weekly average US electricity load (with the remaining data supplied by Haver Analytics). All series are represented as year-over-year percentage changes. These series are combined into a single index of weekly economic activity.\r\n\r\nFor additional details, including an analysis of the performance of the model, see Lewis, Mertens, and Stock (2020), “U.S. Economic Activity during the Early Weeks of the SARS-Cov-2 Outbreak.” at https://www.newyorkfed.org/research/staff_reports/sr920.\r\n\r\nThis index has been developed by Daniel Lewis, an economist in the Federal Reserve Bank of New York, Karel Mertens, a senior economic policy advisor at the Federal Reserve Bank of Dallas, and James Stock, the Harold Hitchings Burbank Professor of Political Economy, Faculty of Arts and Sciences of Harvard University.\r\n\r\nThe index is not an official forecast of the Federal Reserve Bank of New York, its president, the Federal Reserve System, or the Federal Open Market Committee."}
{"id":468,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Weekly Business Formation Statistics","press_release":true,"link":"https://www.census.gov/econ/bfs/index.html","notes":"The Business Formation Statistics (BFS) are an experimental data product of the U.S. Census Bureau developed in research collaboration with economists affiliated with Board of Governors of the Federal Reserve System, Federal Reserve Bank of Atlanta, University of Maryland, and University of Notre Dame. The BFS provide timely and high frequency information on new business applications and formations in the United States.\r\n\r\nThe BFS data cover Employer Identification Number (EIN) applications made in the United States, including those associated with starting a new employer business. EINs are IDs used by business entities for tax purposes. Data are available as both nationwide and individual states' statistics. \r\n\r\nThe Business Application Series contain 4 filtered series of EIN applications, measuring selected groupings based on a variety of factors: business applications, high-propensity business applications, business applications with planned wages, and business applications from corporations."}
{"id":469,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"State Unemployment Insurance Weekly Claims Report","press_release":true,"link":"https://oui.doleta.gov/unemploy/DataDashboard.asp"}
{"id":470,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"World Uncertainty Index","press_release":false,"link":"https://worlduncertaintyindex.com/data/","notes":"The World Uncertainty Index is computed by counting the percent of word \"uncertain\" (or its variant) in the Economist Intelligence Unit (EIU) country reports. The WUI is then rescaled by multiplying by 1,000,000. A higher number means higher uncertainty and vice versa. For example, an index of 200 corresponds to the word uncertainty accounting for 0.02 percent of all words, which—given the EIU reports are on average about 10,000 words long—means about 2 words per report.\r\n\r\nSimilarly, the World Pandemic Uncertainty Index is constructed by counting the percent of times uncertainty is mentioned within a proximity to a word related to pandemics, while the index of discussion about pandemics is constructed by counting the percent of times a word related to pandemics is mentioned in the EIU country reports, and then are re-scaled by multiplying by 1,000."}
{"id":471,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Manufactured Housing Survey","press_release":true,"link":"https://www.census.gov/programs-surveys/mhs.html"}
{"id":472,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Daily Federal Funds Rate","press_release":false,"link":"https://research.stlouisfed.org/wp/more/2020-016"}
{"id":473,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Optimal Blue Mortgage Market Indices","press_release":false,"link":"https://www2.optimalblue.com/obmmi/","notes":"Optimal Blue Mortgage Market Indices™ (OBMMI™) is calculated from actual locked rates with consumers across over one-third of all mortgage transactions nationwide. OBMMI includes multiple mortgage pricing indices developed around the most popular products and specific borrower and loan level attributes."}
{"id":476,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Job Postings on Indeed","press_release":true,"link":"http://press.indeed.com/","notes":"Indeed calculates the 7-day moving average of the number of job postings on Indeed to measure the trends in job postings. Then each day's 7-day moving average is indexed to February 1 of that year such that February 1 = 100 (e.g. Feb 1, 2020 = 100 for 2020 data, and so on). Indeed reports how the trend in job postings this year differs from last year, in order to focus on the recent changes in labor market conditions due to COVID-19.\r\n\r\nIndices are calculated for the U.S., Australia, Canada, Germany, Ireland, and the U.K. In addition for the U.S., indices are calculated for states, the largest metro areas by population, and by wage tier.\r\n\r\nFor Frequently Asked Questions regarding Indeed Data, visit https://www.hiringlab.org/indeed-data-faq/.\r\n\r\nCopyrighted: Pre-approval required. Contact Indeed to request permission to use the data at their contact information at https://github.com/hiring-lab/data#readme.\r\n\r\nEnd 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."}
{"id":477,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Monthly State Retail Sales","press_release":true,"link":"https://www.census.gov/retail/state_retail_sales.html","notes":"The Monthly State Retail Sales (MSRS) is the Census Bureau's experimental data product featuring modeled state-level retail sales. This is a blended data product using Monthly Retail Trade Survey data, administrative data, and third-party data. Year-over-year percent changes are available for Total Retail Sales excluding Nonstore Retailers as well as 11 retail North American Industry Classification System (NAICS) retail subsectors. These data are provided by state and NAICS codes beginning with January 2019. The Census Bureau plans to continue to improve the methodology to be able to publish more data in the future.\r\n\r\nUsers are encouraged to read the overview at https://www.census.gov/retail/mrts/www/statedata/msrs_overview.pdf"}
{"id":478,"realtime_start":"2021-01-07","realtime_end":"2021-01-07","name":"Pandemic Claims Weekly Report","press_release":true,"link":"https://oui.doleta.gov/unemploy/DataDashboard.asp"}