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  • Percent, Weekly, Not Seasonally Adjusted

    Data is provided "as is," by Freddie Mac® with no warranties of any kind, express or implied, including, but not limited to, warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user's sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including, but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

  • Percent, Weekly, Not Seasonally Adjusted

    Data is provided "as is," by Freddie Mac® with no warranties of any kind, express or implied, including, but not limited to, warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user's sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including, but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

  • Percent, Weekly, Not Seasonally Adjusted

    Data is provided "as is," by Freddie Mac® with no warranties of any kind, express or implied, including, but not limited to, warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user's sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including, but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

  • Percent, Weekly, Not Seasonally Adjusted

    Data is provided "as is," by Freddie Mac® with no warranties of any kind, express or implied, including, but not limited to, warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user's sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including, but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

  • Percent, Weekly, Not Seasonally Adjusted

    Data is provided "as is," by Freddie Mac® with no warranties of any kind, express or implied, including, but not limited to, warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user's sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including, but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

  • Percent, Weekly, Not Seasonally Adjusted

    Data is provided "as is," by Freddie Mac® with no warranties of any kind, express or implied, including, but not limited to, warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user's sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including, but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

  • Percent, Daily, Not Seasonally Adjusted

    Optimal Blue Mortgage Market Indices (https://www2.optimalblue.com/obmmi/)™ (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. Each index is calculated as the average of all appropriate rate locks locked through the Optimal Blue product eligibility and pricing engine on a given day. More details about methodology and definitions are available here (https://www2.optimalblue.com/obmmi/).

  • Percent, Weekly, Not Seasonally Adjusted

    Data is provided "as is," by Freddie Mac® with no warranties of any kind, express or implied, including, but not limited to, warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user's sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including, but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

  • Percent, Weekly, Not Seasonally Adjusted

    Data is provided "as is," by Freddie Mac® with no warranties of any kind, express or implied, including, but not limited to, warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user's sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including, but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

  • Percent, Weekly, Not Seasonally Adjusted

    Data is provided "as is," by Freddie Mac® with no warranties of any kind, express or implied, including, but not limited to, warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user's sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including, but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

  • Percent, Weekly, Not Seasonally Adjusted

    Data is provided "as is," by Freddie Mac® with no warranties of any kind, express or implied, including, but not limited to, warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user's sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including, but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

  • Percent, Weekly, Not Seasonally Adjusted

    Data is provided "as is," with no warranties of any kind, express or implied, including, but not limited to, warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user's sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including, but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

  • Percent, Weekly, Not Seasonally Adjusted

    Data is provided "as is," by Freddie Mac® with no warranties of any kind, express or implied, including, but not limited to, warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user's sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including, but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

  • Percent, Weekly, Not Seasonally Adjusted

    Average Contract Rate on Commitments for Fixed-Rate First Mortgages. - Please refer to the series WRMORTG for current data. Copyright, 2016, Federal Home Loan Mortgage Corporation. Reprinted with permission.

  • Percent, Monthly, Not Seasonally Adjusted

  • Percent, Daily, Not Seasonally Adjusted

    Optimal Blue Mortgage Market Indices (https://www2.optimalblue.com/obmmi/)™ (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. Each index is calculated as the average of all appropriate rate locks locked through the Optimal Blue product eligibility and pricing engine on a given day. More details about methodology and definitions are available here (https://www2.optimalblue.com/obmmi/).

  • Percent, Daily, Not Seasonally Adjusted

    Optimal Blue Mortgage Market Indices (https://www2.optimalblue.com/obmmi/)™ (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. Each index is calculated as the average of all appropriate rate locks locked through the Optimal Blue product eligibility and pricing engine on a given day. More details about methodology and definitions are available here (https://www2.optimalblue.com/obmmi/).

  • Percent, Daily, Not Seasonally Adjusted

    Optimal Blue Mortgage Market Indices (https://www2.optimalblue.com/obmmi/)™ (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. Each index is calculated as the average of all appropriate rate locks locked through the Optimal Blue product eligibility and pricing engine on a given day. More details about methodology and definitions are available here (https://www2.optimalblue.com/obmmi/).

  • Percent, Daily, Not Seasonally Adjusted

    Optimal Blue Mortgage Market Indices (https://www2.optimalblue.com/obmmi/)™ (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. Each index is calculated as the average of all appropriate rate locks locked through the Optimal Blue product eligibility and pricing engine on a given day. More details about methodology and definitions are available here (https://www2.optimalblue.com/obmmi/).

  • Percent, Daily, Not Seasonally Adjusted

    Optimal Blue Mortgage Market Indices (https://www2.optimalblue.com/obmmi/)™ (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. Each index is calculated as the average of all appropriate rate locks locked through the Optimal Blue product eligibility and pricing engine on a given day. More details about methodology and definitions are available here (https://www2.optimalblue.com/obmmi/).

  • Percent, Daily, Not Seasonally Adjusted

    Optimal Blue Mortgage Market Indices (https://www2.optimalblue.com/obmmi/)™ (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. Each index is calculated as the average of all appropriate rate locks locked through the Optimal Blue product eligibility and pricing engine on a given day. More details about methodology and definitions are available here (https://www2.optimalblue.com/obmmi/).

  • Percent, Daily, Not Seasonally Adjusted

    Optimal Blue Mortgage Market Indices (https://www2.optimalblue.com/obmmi/)™ (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. Each index is calculated as the average of all appropriate rate locks locked through the Optimal Blue product eligibility and pricing engine on a given day. More details about methodology and definitions are available here (https://www2.optimalblue.com/obmmi/).

  • Percent, Daily, Not Seasonally Adjusted

    Optimal Blue Mortgage Market Indices (https://www2.optimalblue.com/obmmi/)™ (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. Each index is calculated as the average of all appropriate rate locks locked through the Optimal Blue product eligibility and pricing engine on a given day. More details about methodology and definitions are available here (https://www2.optimalblue.com/obmmi/).

  • Percent, Daily, Not Seasonally Adjusted

    Optimal Blue Mortgage Market Indices (https://www2.optimalblue.com/obmmi/)™ (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. Each index is calculated as the average of all appropriate rate locks locked through the Optimal Blue product eligibility and pricing engine on a given day. More details about methodology and definitions are available here (https://www2.optimalblue.com/obmmi/).

  • Percent, Daily, Not Seasonally Adjusted

    Optimal Blue Mortgage Market Indices (https://www2.optimalblue.com/obmmi/)™ (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. Each index is calculated as the average of all appropriate rate locks locked through the Optimal Blue product eligibility and pricing engine on a given day. More details about methodology and definitions are available here (https://www2.optimalblue.com/obmmi/).

  • Percent, Daily, Not Seasonally Adjusted

    Optimal Blue Mortgage Market Indices (https://www2.optimalblue.com/obmmi/)™ (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. Each index is calculated as the average of all appropriate rate locks locked through the Optimal Blue product eligibility and pricing engine on a given day. More details about methodology and definitions are available here (https://www2.optimalblue.com/obmmi/).

  • Percent, Daily, Not Seasonally Adjusted

    Optimal Blue Mortgage Market Indices (https://www2.optimalblue.com/obmmi/)™ (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. Each index is calculated as the average of all appropriate rate locks locked through the Optimal Blue product eligibility and pricing engine on a given day. More details about methodology and definitions are available here (https://www2.optimalblue.com/obmmi/).

  • Percent, Daily, Not Seasonally Adjusted

    This index includes rate locks from Federal Housing Authority loans. Optimal Blue Mortgage Market Indices (https://www2.optimalblue.com/obmmi/)™ (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. Each index is calculated as the average of all appropriate rate locks locked through the Optimal Blue product eligibility and pricing engine on a given day. More details about methodology and definitions are available here (https://www2.optimalblue.com/obmmi/).

  • Percent, Daily, Not Seasonally Adjusted

    Optimal Blue Mortgage Market Indices (https://www2.optimalblue.com/obmmi/)™ (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. Each index is calculated as the average of all appropriate rate locks locked through the Optimal Blue product eligibility and pricing engine on a given day. More details about methodology and definitions are available here (https://www2.optimalblue.com/obmmi/).

  • Percent, Weekly, Not Seasonally Adjusted

    Data is provided "as is," by Freddie Mac® with no warranties of any kind, express or implied, including, but not limited to, warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user's sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including, but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

  • Percent, Weekly, Not Seasonally Adjusted

    Data is provided "as is," by Freddie Mac® with no warranties of any kind, express or implied, including, but not limited to, warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user's sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including, but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

  • Percent, Weekly, Not Seasonally Adjusted

    Data is provided "as is," with no warranties of any kind, express or implied, including, but not limited to, warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user's sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including, but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

  • Percent, Weekly, Not Seasonally Adjusted

    Data is provided "as is," by Freddie Mac® with no warranties of any kind, express or implied, including, but not limited to, warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user's sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including, but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

  • Percent, Weekly, Not Seasonally Adjusted

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

  • Percent, Weekly, Not Seasonally Adjusted

    Data is provided "as is," by Freddie Mac® with no warranties of any kind, express or implied, including, but not limited to, warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user's sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including, but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

  • Percent, Daily, Not Seasonally Adjusted

    This index includes rate locks from U.S. Department of Agriculture loans. Optimal Blue Mortgage Market Indices (https://www2.optimalblue.com/obmmi/)™ (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. Each index is calculated as the average of all appropriate rate locks locked through the Optimal Blue product eligibility and pricing engine on a given day. More details about methodology and definitions are available here (https://www2.optimalblue.com/obmmi/).

  • Percent, Daily, Not Seasonally Adjusted

    This index includes rate locks from U.S. Department of Veterans Affairs loans. Optimal Blue Mortgage Market Indices (https://www2.optimalblue.com/obmmi/)™ (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. Each index is calculated as the average of all appropriate rate locks locked through the Optimal Blue product eligibility and pricing engine on a given day. More details about methodology and definitions are available here (https://www2.optimalblue.com/obmmi/).

  • Percent, Weekly, Not Seasonally Adjusted

    Data is provided "as is," by Freddie Mac® with no warranties of any kind, express or implied, including, but not limited to, warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user's sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including, but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

  • Percent, Weekly, Not Seasonally Adjusted

    Data is provided "as is," by Freddie Mac® with no warranties of any kind, express or implied, including, but not limited to, warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user's sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including, but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

  • Percent, Weekly, Not Seasonally Adjusted

    Data is provided "as is," by Freddie Mac® with no warranties of any kind, express or implied, including, but not limited to, warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user's sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including, but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

  • Percent, Weekly, Not Seasonally Adjusted

    Data is provided "as is," by Freddie Mac® with no warranties of any kind, express or implied, including, but not limited to, warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user's sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including, but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

  • Percent, Weekly, Not Seasonally Adjusted

    Data is provided "as is," by Freddie Mac® with no warranties of any kind, express or implied, including, but not limited to, warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user's sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including, but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

  • Percent, Weekly, Not Seasonally Adjusted

    Data is provided "as is," by Freddie Mac® with no warranties of any kind, express or implied, including, but not limited to, warranties of accuracy or implied warranties of merchantability or fitness for a particular purpose. Use of the data is at the user's sole risk. In no event will Freddie Mac be liable for any damages arising out of or related to the data, including, but not limited to direct, indirect, incidental, special, consequential, or punitive damages, whether under a contract, tort, or any other theory of liability, even if Freddie Mac is aware of the possibility of such damages. Copyright, 2016, Freddie Mac. Reprinted with permission.

  • Dollars, Annual, Not Seasonally Adjusted

    The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (https://www.census.gov/programs-surveys/saipe/about.html) (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs. Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income. A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html).

  • Persons, Annual, Not Seasonally Adjusted

    For further information about this series go to https://www.census.gov/programs-surveys/saipe/about.html.

  • Persons, Annual, Not Seasonally Adjusted

    For further information about this series go to https://www.census.gov/programs-surveys/saipe/about.html.

  • Percent, Annual, Not Seasonally Adjusted

    The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (https://www.census.gov/programs-surveys/saipe/about.html) (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs. Estimates of poverty by ages and families are not direct counts from enumerations or administrative records, nor direct estimates from sample surveys. Instead, for counties and states, the Census models income and poverty estimates by combining survey data with population estimates and administrative records. A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html).

  • Percent, Annual, Not Seasonally Adjusted

    The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (https://www.census.gov/programs-surveys/saipe/about.html) (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs. Estimates of poverty by ages and families are not direct counts from enumerations or administrative records, nor direct estimates from sample surveys. Instead, for counties and states, the Census models income and poverty estimates by combining survey data with population estimates and administrative records. A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html).

  • Percent, Annual, Not Seasonally Adjusted

    The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (https://www.census.gov/programs-surveys/saipe/about.html) (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs. Estimates of poverty by ages and families are not direct counts from enumerations or administrative records, nor direct estimates from sample surveys. Instead, for counties and states, the Census models income and poverty estimates by combining survey data with population estimates and administrative records. A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html).

  • Persons, Annual, Not Seasonally Adjusted

    For further information about this series go to https://www.census.gov/programs-surveys/saipe/about.html.

  • Dollars, Annual, Not Seasonally Adjusted

    The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (https://www.census.gov/programs-surveys/saipe/about.html) (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs. Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income. A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html).

  • Persons, Annual, Not Seasonally Adjusted

    For further information about this series go to https://www.census.gov/programs-surveys/saipe/about.html.

  • Persons, Annual, Not Seasonally Adjusted

    For further information about this series go to https://www.census.gov/programs-surveys/saipe/about.html.

  • Percent, Annual, Not Seasonally Adjusted

    The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (https://www.census.gov/programs-surveys/saipe/about.html) (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs. Estimates of poverty by ages and families are not direct counts from enumerations or administrative records, nor direct estimates from sample surveys. Instead, for counties and states, the Census models income and poverty estimates by combining survey data with population estimates and administrative records. A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html).

  • Percent, Annual, Not Seasonally Adjusted

    The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (https://www.census.gov/programs-surveys/saipe/about.html) (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs. Estimates of poverty by ages and families are not direct counts from enumerations or administrative records, nor direct estimates from sample surveys. Instead, for counties and states, the Census models income and poverty estimates by combining survey data with population estimates and administrative records. A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html).

  • Percent, Annual, Not Seasonally Adjusted

    The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (https://www.census.gov/programs-surveys/saipe/about.html) (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs. Estimates of poverty by ages and families are not direct counts from enumerations or administrative records, nor direct estimates from sample surveys. Instead, for counties and states, the Census models income and poverty estimates by combining survey data with population estimates and administrative records. A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html).

  • Persons, Annual, Not Seasonally Adjusted

    For further information about this series go to https://www.census.gov/programs-surveys/saipe/about.html.

  • Index, Monthly, Not Seasonally Adjusted

    The AD&Co US Mortgage High Yield Index crOAS, credit-and-option-adjusted spread, is an extension of the traditional OAS measure. On a set of 20 standardized, probabilistically weighted, market-and-model stress scenarios, AD&Co computes a discount rate that equates expected present value of tranche's cash flows to the observed market price; the cash flows are loss-adjusted using AD&Co's LoanDynamics Model (LDM). Investors and fund managers can use the index to assess the broad market returns, risks and opportunities available through investing in a market-weighted, passive portfolio of US mortgage credit risk transfer instruments. The Index also provides a means of comparing the returns of an actively managed portfolio against a passive, naive market portfolio as approximated by the Index. The Mid-Tier and its sub-indices allow for approximations of performance comparisons by vintage or age, across the capital stack, and by initial credit risk level and/or vintage as indicated by original attachment point. <b>Disclaimer:</b> The AD&Co U.S. Mortgage High-Yield Index serves as an informational index and is not for commercial-use purposes. The Index's accuracy, completeness, timeliness and suitability for any purpose are not guaranteed. The Index does not constitute (1) investment, legal, accounting, tax, or other professional advice or (2) any recommendation or solicitation to purchase, hold, sell, or otherwise deal in any investment. This Index has been prepared for general informational purposes, without consideration of the circumstances or objectives of any particular investor. Any reliance on the Index is at the reader's sole risk. All investment is subject to numerous risks, known and unknown. Past performance is no guarantee of future results. For investment advice, seek a qualified investment professional. Not for redistribution without permission. Note: An affiliate of Andrew Davidson & Co., Inc. engages in trading activities in investments that may be the same or similar to those featured in the Index. <b>Index Inclusion Rules</b> Only cash CAS and STACR bonds offered to the public, whether they are exchangeable or not, that have or have had IDC prices. Bond factor > = .25 Floating rate bonds only. Collateral Types 30 Year Residential. Fixed Rate: STACR-DN, DNA, HQ, HQA, HRP, CAS – C0 Tranche names – B, B1, B2, M3, M2, M1 Normally listed on GSE websites: <a href='https://crt.freddiemac.com/offerings/stacr.aspx#issuance-details'>Freddie Mac</a>, <a href='http://www.fanniemae.com/portal/funding-the-market/credit-risk/transactions.html'>Fannie Mae</a> No private placements No Child Classes (Exchangeable into) or Retained Classes (H bonds) No CIRT, ACIS, SPI Original attachment points and CAS STACR <table style='width:50%'><tr><th>Tier</th><th>Attachment Points</th><th>CAS STACR Class</th></tr><tr><td>0</td><td>> = 0.00 < .25</td><td>STACR Class B, B2; CAS Class B</td></tr><tr><td>1</td><td>> = 0.25 < .95</td><td>STACR Class B1, Old M3; CAS Class B1</td></tr><tr><td>2</td><td>> = 0.95 < 1.75</td><td>STACR Class M3, M2; CAS Class M2</td></tr><tr><td>3</td><td>> = 1.75 < 3.75</td><td>STACR Class M2, M1; CAS Class M1</td></tr><tr><td>Mid</td><td>> = 0.25 < 3.75</td><td>STACR Class Mixed; CAS Class Mixed</td></tr></table> Input data provided by Intex and ICE Data Services. © Andrew Davidson & Co., Inc. All rights reserved.

  • Index, Monthly, Not Seasonally Adjusted

    The AD&Co US Mortgage High Yield Index crOAS, credit-and-option-adjusted spread, is an extension of the traditional OAS measure. On a set of 20 standardized, probabilistically weighted, market-and-model stress scenarios, AD&Co computes a discount rate that equates expected present value of tranche's cash flows to the observed market price; the cash flows are loss-adjusted using AD&Co's LoanDynamics Model (LDM). Investors and fund managers can use the index to assess the broad market returns, risks and opportunities available through investing in a market-weighted, passive portfolio of US mortgage credit risk transfer instruments. The Index also provides a means of comparing the returns of an actively managed portfolio against a passive, naive market portfolio as approximated by the Index. The Mid-Tier and its sub-indices allow for approximations of performance comparisons by vintage or age, across the capital stack, and by initial credit risk level and/or vintage as indicated by original attachment point. Until February of 2022, AD&Co has been computing crOAS relative to the Libor-swap rate curve that is set to retire in 2023. Following the prevailing market trend and starting from its February-end report, AD&Co began computing the crOAS metric relative to the Treasury-curve benchmark. Given the differences between the two rate curves, this change should account for approximately 6 to 12 bps widening in spread for the AD&Co CRT Indices. <b>Disclaimer:</b> The AD&Co U.S. Mortgage High-Yield Index serves as an informational index and is not for commercial-use purposes. The Index's accuracy, completeness, timeliness and suitability for any purpose are not guaranteed. The Index does not constitute (1) investment, legal, accounting, tax, or other professional advice or (2) any recommendation or solicitation to purchase, hold, sell, or otherwise deal in any investment. This Index has been prepared for general informational purposes, without consideration of the circumstances or objectives of any particular investor. Any reliance on the Index is at the reader's sole risk. All investment is subject to numerous risks, known and unknown. Past performance is no guarantee of future results. For investment advice, seek a qualified investment professional. Not for redistribution without permission. Note: An affiliate of Andrew Davidson & Co., Inc. engages in trading activities in investments that may be the same or similar to those featured in the Index. <b>Index Inclusion Rules</b> Only cash CAS and STACR bonds offered to the public, whether they are exchangeable or not, that have or have had IDC prices. Bond factor > = .25 Floating rate bonds only. Collateral Types 30 Year Residential. Fixed Rate: STACR-DN, DNA, HQ, HQA, HRP, CAS – C0 Tranche names – B, B1, B2, M3, M2, M1 Normally listed on GSE websites: <a href='https://crt.freddiemac.com/offerings/stacr.aspx#issuance-details'>Freddie Mac</a>, <a href='http://www.fanniemae.com/portal/funding-the-market/credit-risk/transactions.html'>Fannie Mae</a> No private placements No Child Classes (Exchangeable into) or Retained Classes (H bonds) No CIRT, ACIS, SPI Original attachment points and CAS STACR <table style='width:50%'><tr><th>Tier</th><th>Attachment Points</th><th>CAS STACR Class</th></tr><tr><td>0</td><td>> = 0.00 < .25</td><td>STACR Class B, B2; CAS Class B</td></tr><tr><td>1</td><td>> = 0.25 < .95</td><td>STACR Class B1, Old M3; CAS Class B1</td></tr><tr><td>2</td><td>> = 0.95 < 1.75</td><td>STACR Class M3, M2; CAS Class M2</td></tr><tr><td>3</td><td>> = 1.75 < 3.75</td><td>STACR Class M2, M1; CAS Class M1</td></tr><tr><td>Mid</td><td>> = 0.25 < 3.75</td><td>STACR Class Mixed; CAS Class Mixed</td></tr></table> Input data provided by Intex and ICE Data Services. © Andrew Davidson & Co., Inc. All rights reserved.

  • Index, Monthly, Not Seasonally Adjusted

    The AD&Co US Mortgage High Yield Index crOAS, credit-and-option-adjusted spread, is an extension of the traditional OAS measure. On a set of 20 standardized, probabilistically weighted, market-and-model stress scenarios, AD&Co computes a discount rate that equates expected present value of tranche's cash flows to the observed market price; the cash flows are loss-adjusted using AD&Co's LoanDynamics Model (LDM). Investors and fund managers can use the index to assess the broad market returns, risks and opportunities available through investing in a market-weighted, passive portfolio of US mortgage credit risk transfer instruments. The Index also provides a means of comparing the returns of an actively managed portfolio against a passive, naive market portfolio as approximated by the Index. The Mid-Tier and its sub-indices allow for approximations of performance comparisons by vintage or age, across the capital stack, and by initial credit risk level and/or vintage as indicated by original attachment point. Until February of 2022, AD&Co has been computing crOAS relative to the Libor-swap rate curve that is set to retire in 2023. Following the prevailing market trend and starting from its February-end report, AD&Co began computing the crOAS metric relative to the Treasury-curve benchmark. Given the differences between the two rate curves, this change should account for approximately 6 to 12 bps widening in spread for the AD&Co CRT Indices. <b>Disclaimer:</b> The AD&Co U.S. Mortgage High-Yield Index serves as an informational index and is not for commercial-use purposes. The Index's accuracy, completeness, timeliness and suitability for any purpose are not guaranteed. The Index does not constitute (1) investment, legal, accounting, tax, or other professional advice or (2) any recommendation or solicitation to purchase, hold, sell, or otherwise deal in any investment. This Index has been prepared for general informational purposes, without consideration of the circumstances or objectives of any particular investor. Any reliance on the Index is at the reader's sole risk. All investment is subject to numerous risks, known and unknown. Past performance is no guarantee of future results. For investment advice, seek a qualified investment professional. Not for redistribution without permission. Note: An affiliate of Andrew Davidson & Co., Inc. engages in trading activities in investments that may be the same or similar to those featured in the Index. <b>Index Inclusion Rules</b> Only cash CAS and STACR bonds offered to the public, whether they are exchangeable or not, that have or have had IDC prices. Bond factor > = .25 Floating rate bonds only. Collateral Types 30 Year Residential. Fixed Rate: STACR-DN, DNA, HQ, HQA, HRP, CAS – C0 Tranche names – B, B1, B2, M3, M2, M1 Normally listed on GSE websites: <a href='https://crt.freddiemac.com/offerings/stacr.aspx#issuance-details'>Freddie Mac</a>, <a href='http://www.fanniemae.com/portal/funding-the-market/credit-risk/transactions.html'>Fannie Mae</a> No private placements No Child Classes (Exchangeable into) or Retained Classes (H bonds) No CIRT, ACIS, SPI Original attachment points and CAS STACR <table style='width:50%'><tr><th>Tier</th><th>Attachment Points</th><th>CAS STACR Class</th></tr><tr><td>0</td><td>> = 0.00 < .25</td><td>STACR Class B, B2; CAS Class B</td></tr><tr><td>1</td><td>> = 0.25 < .95</td><td>STACR Class B1, Old M3; CAS Class B1</td></tr><tr><td>2</td><td>> = 0.95 < 1.75</td><td>STACR Class M3, M2; CAS Class M2</td></tr><tr><td>3</td><td>> = 1.75 < 3.75</td><td>STACR Class M2, M1; CAS Class M1</td></tr><tr><td>Mid</td><td>> = 0.25 < 3.75</td><td>STACR Class Mixed; CAS Class Mixed</td></tr></table> Input data provided by Intex and ICE Data Services. © Andrew Davidson & Co., Inc. All rights reserved.


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