The Federal Reserve Bank of Cleveland estimates the expected rate of inflation over the next 30 years along with the inflation risk premium, the real risk premium, and the real interest rate. Their estimates are calculated with a model that uses Treasury yields, inflation data, inflation swaps, and survey-based measures of inflation expectations. For more information, please visit the <a href="https://www.clevelandfed.org/indicators-and-data/inflation-expectations#background">Federal Reserve Bank of Cleveland<a/>.

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

The Federal Reserve Bank of Cleveland estimates the expected rate of inflation over the next 30 years along with the inflation risk premium, the real risk premium, and the real interest rate. Their estimates are calculated with a model that uses Treasury yields, inflation data, inflation swaps, and survey-based measures of inflation expectations. For more information, please visit the <a href="https://www.clevelandfed.org/indicators-and-data/inflation-expectations#background">Federal Reserve Bank of Cleveland<a/>.

View data of the inflation-adjusted interest rates on 10-year Treasury securities with a constant maturity.

Kim and Wright (2005) produced this data by fitting a simple three-factor arbitrage-free term structure model to U.S. Treasury yields since 1990, in order to evaluate the behavior of long-term yields, distant-horizon forward rates, and term premiums. For the full paper, please go to http://www.federalreserve.gov/pubs/feds/2005/200533/200533abs.html

The spot rate for any maturity is defined as the yield on a bond that gives a single payment at that maturity. This is called a zero coupon bond. Because high quality zero coupon bonds are not generally available, the HQM methodology computes the spot rates so as to make them consistent with the yields on other high quality bonds. The HQM yield curve uses data from a set of high quality corporate bonds rated AAA, AA, or A that accurately represent the high quality corporate bond market. The HQM methodology projects yields beyond 30 years maturity out to 100 years maturity to get discount rates for long-dated pension liabilities. Visit the Treasury (https://www.treasury.gov/resource-center/economic-policy/corp-bond-yield/Pages/Corp-Yield-Bond-Curve-Papers.aspx) for more information.

Kim and Wright (2005) produced this data by fitting a simple three-factor arbitrage-free term structure model to U.S. Treasury yields since 1990, in order to evaluate the behavior of long-term yields, distant-horizon forward rates, and term premiums. For the full paper, please go to http://www.federalreserve.gov/pubs/feds/2005/200533/200533abs.html

The basic type of selected bond is analogous to conventional Treasury coupon issues: a bond that pays a fixed semiannual nominal coupon denominated in U.S. dollars until maturity, when the principal is returned. The HQM yield curve uses data from a set of high quality corporate bonds rated AAA, AA, or A that accurately represent the high quality corporate bond market. For more information see https://www.treasury.gov/resource-center/economic-policy/corp-bond-yield/Pages/Corp-Yield-Bond-Curve-Papers.aspx

Kim and Wright (2005) produced this data by fitting a simple three-factor arbitrage-free term structure model to U.S. Treasury yields since 1990, in order to evaluate the behavior of long-term yields, distant-horizon forward rates, and term premiums. For the full paper, please go to http://www.federalreserve.gov/pubs/feds/2005/200533/200533abs.html

The Federal Reserve Board has discontinued this series as of October 31, 2016. More information, including possible alternative series, can be found at http://www.federalreserve.gov/feeds/h15.html. Rate paid by fixed-rate payer on an interest rate swap with maturity of ten years. International Swaps and Derivatives Association (ISDA®) mid-market par swap rates. Rates are for a Fixed Rate Payer in return for receiving three month LIBOR, and are based on rates collected at 11:00 a.m. Eastern time by Garban Intercapital plc and published on Reuters Page ISDAFIX®1. ISDAFIX is a registered service mark of ISDA. Source: Reuters Limited.

Kim and Wright (2005) produced this data by fitting a simple three-factor arbitrage-free term structure model to U.S. Treasury yields since 1990, in order to evaluate the behavior of long-term yields, distant-horizon forward rates, and term premiums. For the full paper, please go to http://www.federalreserve.gov/pubs/feds/2005/200533/200533abs.html

Averages of daily figures. For more information see the H.15 Statistical Release (https://www.federalreserve.gov/releases/h15/default.htm).

Averages of daily figures. The Federal Reserve Board has discontinued this series. For more information see the H.15 Statistical Release (https://www.federalreserve.gov/releases/h15/default.htm).

Median dollar value (in thousands) of real estate property (house and lot) in a coded neighborhood. The authors calculate the data based on U.S. Census estimates for each area matched to the geocoded HOLC Neighborhoods, which are based on the geocoded renderings of the original Home Owners Loan Corporation (HOLC) maps for 149 cities.

Number of households that are occupied by owners in a coded neighborhood, divided by the total number of occupied households. The authors calculate the data based on U.S. Census estimates for each area matched to the geocoded HOLC Neighborhoods, which are based on the geocoded renderings of the original Home Owners Loan Corporation (HOLC) maps for 149 cities.

Number of African Americans living in a coded neighborhood divided by the total number of persons living in the same neighborhood. The authors calculate the data based on U.S. Census estimates for each area matched to the geocoded HOLC Neighborhoods, which are based on the geocoded renderings of the original Home Owners Loan Corporation (HOLC) maps for 149 cities.

Dollar amount of 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 for by the renter (or paid for the renter by someone else). The authors calculate the data based on U.S. Census estimates for each area matched to the geocoded HOLC Neighborhoods, which are based on the geocoded renderings of the original Home Owners Loan Corporation (HOLC) maps for 149 cities.

Number of households that are occupied by owners in a coded neighborhood, divided by the total number of occupied households. The authors calculate the data based on U.S. Census estimates for each area matched to the geocoded HOLC Neighborhoods, which are based on the geocoded renderings of the original Home Owners Loan Corporation (HOLC) maps for 149 cities.

Median dollar value (in thousands) of real estate property (house and lot) in a coded neighborhood. The authors calculate the data based on U.S. Census estimates for each area matched to the geocoded HOLC Neighborhoods, which are based on the geocoded renderings of the original Home Owners Loan Corporation (HOLC) maps for 149 cities.

Number of foreign born persons living in a coded neighborhood divided by the total number of persons living in the same neighborhood. The authors calculate the data based on U.S. Census estimates for each area matched to the geocoded HOLC Neighborhoods, which are based on the geocoded renderings of the original Home Owners Loan Corporation (HOLC) maps for 149 cities.

Number of foreign born persons living in a coded neighborhood divided by the total number of persons living in the same neighborhood. The authors calculate the data based on U.S. Census estimates for each area matched to the geocoded HOLC Neighborhoods, which are based on the geocoded renderings of the original Home Owners Loan Corporation (HOLC) maps for 149 cities.

Number of African Americans living in a coded neighborhood divided by the total number of persons living in the same neighborhood. The authors calculate the data based on U.S. Census estimates for each area matched to the geocoded HOLC Neighborhoods, which are based on the geocoded renderings of the original Home Owners Loan Corporation (HOLC) maps for 149 cities.

Number of African Americans living in a coded neighborhood divided by the total number of persons living in the same neighborhood. The authors calculate the data based on U.S. Census estimates for each area matched to the geocoded HOLC Neighborhoods, which are based on the geocoded renderings of the original Home Owners Loan Corporation (HOLC) maps for 149 cities.

Number of foreign born persons living in a coded neighborhood divided by the total number of persons living in the same neighborhood. The authors calculate the data based on U.S. Census estimates for each area matched to the geocoded HOLC Neighborhoods, which are based on the geocoded renderings of the original Home Owners Loan Corporation (HOLC) maps for 149 cities.

Number of foreign born persons living in a coded neighborhood divided by the total number of persons living in the same neighborhood. The authors calculate the data based on U.S. Census estimates for each area matched to the geocoded HOLC Neighborhoods, which are based on the geocoded renderings of the original Home Owners Loan Corporation (HOLC) maps for 149 cities.

Number of households that are occupied by owners in a coded neighborhood, divided by the total number of occupied households. The authors calculate the data based on U.S. Census estimates for each area matched to the geocoded HOLC Neighborhoods, which are based on the geocoded renderings of the original Home Owners Loan Corporation (HOLC) maps for 149 cities.

Number of households that are occupied by owners in a coded neighborhood, divided by the total number of occupied households. The authors calculate the data based on U.S. Census estimates for each area matched to the geocoded HOLC Neighborhoods, which are based on the geocoded renderings of the original Home Owners Loan Corporation (HOLC) maps for 149 cities.

Median dollar value (in thousands) of real estate property (house and lot) in a coded neighborhood. The authors calculate the data based on U.S. Census estimates for each area matched to the geocoded HOLC Neighborhoods, which are based on the geocoded renderings of the original Home Owners Loan Corporation (HOLC) maps for 149 cities.

Median dollar value (in thousands) of real estate property (house and lot) in a coded neighborhood. The authors calculate the data based on U.S. Census estimates for each area matched to the geocoded HOLC Neighborhoods, which are based on the geocoded renderings of the original Home Owners Loan Corporation (HOLC) maps for 149 cities.

Dollar amount of 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 for by the renter (or paid for the renter by someone else). The authors calculate the data based on U.S. Census estimates for each area matched to the geocoded HOLC Neighborhoods, which are based on the geocoded renderings of the original Home Owners Loan Corporation (HOLC) maps for 149 cities.

Dollar amount of 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 for by the renter (or paid for the renter by someone else). The authors calculate the data based on U.S. Census estimates for each area matched to the geocoded HOLC Neighborhoods, which are based on the geocoded renderings of the original Home Owners Loan Corporation (HOLC) maps for 149 cities.

Dollar amount of 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 for by the renter (or paid for the renter by someone else). The authors calculate the data based on U.S. Census estimates for each area matched to the geocoded HOLC Neighborhoods, which are based on the geocoded renderings of the original Home Owners Loan Corporation (HOLC) maps for 149 cities.

Number of African Americans living in a coded neighborhood divided by the total number of persons living in the same neighborhood. The authors calculate the data based on U.S. Census estimates for each area matched to the geocoded HOLC Neighborhoods, which are based on the geocoded renderings of the original Home Owners Loan Corporation (HOLC) maps for 149 cities.