Federal Reserve Economic Data: Your trusted data source since 1991

  • Percent, Weekly, Not Seasonally Adjusted 2005-01-06 to 2015-12-31 (2015-12-31)

    Origination Fees and Discount Points are the total charged by the lender at settlement. One point equals one percent of the loan amount. 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 2005-01-06 to 2015-12-31 (2015-12-31)

    Origination Fees and Discount Points are the total charged by the lender at settlement. One point equals one percent of the loan amount. 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, Annual, Not Seasonally Adjusted 1984 to 2015 (2021-01-15)

    Income before taxes refers to the total money earnings and selected money receipts during the 12 months prior to the interview date. A consumer unit comprises either: (1) all members of a particular household who are related by blood, marriage, adoption, or other legal arrangements; (2) a person living alone or sharing a household with others or living as a roomer in a private home or lodging house or in permanent living quarters in a hotel or motel, but who is financially independent; or (3) two or more persons living together who use their income to make joint expenditure decisions. Financial independence is determined by the three major expense categories: Housing, food, and other living expenses. To be considered financially independent, at least two of the three major expense categories have to be provided entirely, or in part, by the respondent. For more details about the data or the survey, visit the FAQs (https://www.bls.gov/cex/csxfaqs.htm).

  • Percent, Annual, Not Seasonally Adjusted 1984 to 2015 (2021-01-15)

    Income before taxes refers to the total money earnings and selected money receipts during the 12 months prior to the interview date. A consumer unit comprises either: (1) all members of a particular household who are related by blood, marriage, adoption, or other legal arrangements; (2) a person living alone or sharing a household with others or living as a roomer in a private home or lodging house or in permanent living quarters in a hotel or motel, but who is financially independent; or (3) two or more persons living together who use their income to make joint expenditure decisions. Financial independence is determined by the three major expense categories: Housing, food, and other living expenses. To be considered financially independent, at least two of the three major expense categories have to be provided entirely, or in part, by the respondent. For more details about the data or the survey, visit the FAQs (https://www.bls.gov/cex/csxfaqs.htm).

  • Percent, Annual, Not Seasonally Adjusted 2003 to 2015 (2021-01-15)

    Income before taxes refers to the total money earnings and selected money receipts during the 12 months prior to the interview date. A consumer unit comprises either: (1) all members of a particular household who are related by blood, marriage, adoption, or other legal arrangements; (2) a person living alone or sharing a household with others or living as a roomer in a private home or lodging house or in permanent living quarters in a hotel or motel, but who is financially independent; or (3) two or more persons living together who use their income to make joint expenditure decisions. Financial independence is determined by the three major expense categories: Housing, food, and other living expenses. To be considered financially independent, at least two of the three major expense categories have to be provided entirely, or in part, by the respondent. For more details about the data or the survey, visit the FAQs (https://www.bls.gov/cex/csxfaqs.htm).

  • Percent, Annual, Not Seasonally Adjusted 2003 to 2015 (2021-01-15)

    Income before taxes refers to the total money earnings and selected money receipts during the 12 months prior to the interview date. A consumer unit comprises either: (1) all members of a particular household who are related by blood, marriage, adoption, or other legal arrangements; (2) a person living alone or sharing a household with others or living as a roomer in a private home or lodging house or in permanent living quarters in a hotel or motel, but who is financially independent; or (3) two or more persons living together who use their income to make joint expenditure decisions. Financial independence is determined by the three major expense categories: Housing, food, and other living expenses. To be considered financially independent, at least two of the three major expense categories have to be provided entirely, or in part, by the respondent. For more details about the data or the survey, visit the FAQs (https://www.bls.gov/cex/csxfaqs.htm).

  • Percent, Annual, Not Seasonally Adjusted 2003 to 2015 (2021-01-15)

    Income before taxes refers to the total money earnings and selected money receipts during the 12 months prior to the interview date. A consumer unit comprises either: (1) all members of a particular household who are related by blood, marriage, adoption, or other legal arrangements; (2) a person living alone or sharing a household with others or living as a roomer in a private home or lodging house or in permanent living quarters in a hotel or motel, but who is financially independent; or (3) two or more persons living together who use their income to make joint expenditure decisions. Financial independence is determined by the three major expense categories: Housing, food, and other living expenses. To be considered financially independent, at least two of the three major expense categories have to be provided entirely, or in part, by the respondent. For more details about the data or the survey, visit the FAQs (https://www.bls.gov/cex/csxfaqs.htm).

  • Percent, Annual, Not Seasonally Adjusted 2003 to 2015 (2021-01-15)

    Income before taxes refers to the total money earnings and selected money receipts during the 12 months prior to the interview date. A consumer unit comprises either: (1) all members of a particular household who are related by blood, marriage, adoption, or other legal arrangements; (2) a person living alone or sharing a household with others or living as a roomer in a private home or lodging house or in permanent living quarters in a hotel or motel, but who is financially independent; or (3) two or more persons living together who use their income to make joint expenditure decisions. Financial independence is determined by the three major expense categories: Housing, food, and other living expenses. To be considered financially independent, at least two of the three major expense categories have to be provided entirely, or in part, by the respondent. For more details about the data or the survey, visit the FAQs (https://www.bls.gov/cex/csxfaqs.htm).

  • Millions of Dollars, Annual, Not Seasonally Adjusted 1946 to 2019 (2020-12-14)

    Source ID: FR703065143.A For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR703065143&t=) provided by the source.

  • Millions of Dollars, Quarterly, Not Seasonally Adjusted Q4 1946 to Q3 2020 (2020-12-16)

    Source ID: FR703065143.Q For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR703065143&t=) provided by the source.

  • Millions of Dollars, Annual, Not Seasonally Adjusted 1946 to 2019 (2020-03-17)

    Source ID: FR703065433.A For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR703065433&t=) provided by the source.

  • Millions of Dollars, Quarterly, Not Seasonally Adjusted Q4 1946 to Q3 2020 (2020-12-14)

    Source ID: FR703065433.Q For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR703065433&t=) provided by the source.

  • Millions of Dollars, Annual, Not Seasonally Adjusted 1946 to 2019 (2020-12-14)

    Source ID: FR703065493.A For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR703065493&t=) provided by the source.

  • Millions of Dollars, Quarterly, Not Seasonally Adjusted Q4 1946 to Q3 2020 (2020-12-14)

    Source ID: FR703065493.Q For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR703065493&t=) provided by the source.

  • Millions of Dollars, Annual, Not Seasonally Adjusted 1946 to 2019 (2020-12-14)

    Source ID: FR703065513.A For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR703065513&t=) provided by the source.

  • Millions of Dollars, Quarterly, Not Seasonally Adjusted Q4 1946 to Q3 2020 (2020-12-14)

    Source ID: FR703065513.Q For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR703065513&t=) provided by the source.

  • Millions of Dollars, Annual, Not Seasonally Adjusted 1946 to 2019 (2020-12-14)

    Source ID: FR703065545.A For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR703065545&t=) provided by the source.

  • Millions of Dollars, Quarterly, Not Seasonally Adjusted Q4 1946 to Q3 2020 (2020-12-14)

    Source ID: FR703065545.Q For more information about the Flow of Funds tables, see the Financial Accounts Guide (https://www.federalreserve.gov/apps/fof/Default.aspx). With each quarterly release, the source may make major data and structural revisions to the series and tables. These changes are available in the Release Highlights (https://www.federalreserve.gov/apps/fof/FOFHighlight.aspx). In the Financial Accounts, the source identifies each series by a string of patterned letters and numbers. For a detailed description, including how this series is constructed, see the series analyzer (https://www.federalreserve.gov/apps/fof/SeriesAnalyzer.aspx?s=FR703065545&t=) provided by the source.

  • Persons, Annual, Not Seasonally Adjusted 1989 to 2022 (Dec 14)

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

  • Percent, Annual, Not Seasonally Adjusted 1989 to 2022 (Dec 14)

    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 1989 to 2022 (Dec 14)

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

  • Persons, Annual, Not Seasonally Adjusted 1989 to 2022 (Dec 14)

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

  • Percent, Annual, Not Seasonally Adjusted 2010 to 2022 (Dec 7)

    Estimate of educational attainment for population 18 years old and over whose highest degree was a bachelor’s, master’s, or professional or doctorate degree. (ACS variable S1501_C02_015E from table S1501.) For more information about the subject definitions, see: https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html. 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 estimates include data collected over a 60-month period. The date associated with the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, the value does not describe any specific day, month, or year within that time period. Multiyear estimates require some additional considerations. 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. Please see the ACS handbook (Section 3, "Understanding and Using ACS Single-Year and Multiyear Estimates," p. 13) for a comprehensive set of details and clarifications: https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018.pdf

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1960 to 2022 (Nov 20)

    BEA Account Code: W599RZ For more information about this series, please see http://www.bea.gov/national/.

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1960 to 2022 (Nov 20)

    BEA Account Code: W620RZ For more information about this series, please see http://www.bea.gov/national/.

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1960 to 2022 (Nov 20)

    BEA Account Code: W671RZ For more information about this series, please see http://www.bea.gov/national/.

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1960 to 2022 (Nov 20)

    BEA Account Code: W650RZ For more information about this series, please see http://www.bea.gov/national/.

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1960 to 2022 (Nov 20)

    BEA Account Code: W579RZ For more information about this series, please see http://www.bea.gov/national/.

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1960 to 2022 (Nov 20)

    BEA Account Code: Y651RZ A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf)

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1960 to 2022 (Nov 20)

    BEA Account Code: Y650RZ A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf)

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1960 to 2022 (Nov 20)

    BEA Account Code: W678RZ For more information about this series, please see http://www.bea.gov/national/.

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1960 to 2022 (Nov 20)

    BEA Account Code: W677RZ For more information about this series, please see http://www.bea.gov/national/.

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1960 to 2022 (Nov 20)

    BEA Account Code: W584RZ For more information about this series, please see http://www.bea.gov/national/.

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1960 to 2022 (Nov 20)

    BEA Account Code: W596RZ For more information about this series, please see http://www.bea.gov/national/.

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1960 to 2022 (Nov 20)

    BEA Account Code: W675RZ For more information about this series, please see http://www.bea.gov/national/.

  • Persons, Annual, Not Seasonally Adjusted 2009 to 2022 (Dec 7)

    Data obtained from ACS Demographic and Housing Estimates, table DP05. 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. Multiyear 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. Please 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 (https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018.pdf) for a more thorough clarification.

  • Percent, Annual, Not Seasonally Adjusted 2012 to 2022 (Dec 7)

    The percentage of population below the poverty level comes from American Community Survey (ACS) variable S1701_C03_001E in table S1701. 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. Multiyear 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. Please 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 (https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018.pdf) for a more thorough clarification.

  • Percent, Annual, Not Seasonally Adjusted 2009 to 2022 (Dec 7)

    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. (ACS 5 year variables from table DP02) 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. Multiyear 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. Please 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 The data is determined from the following calculation: (B14005_010E + B14005_011E + B14005_014E + B14005_015E + B14005_024E + B14005_025E + B14005_028E + B14005_029E) / B14005_001E

  • Persons, Annual, Not Seasonally Adjusted 2009 to 2022 (Dec 7)

    Data obtained from ACS Demographic and Housing Estimates, table DP05. 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. Multiyear 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. Please 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 (https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018.pdf) for a more thorough clarification.

  • Percent, Annual, Not Seasonally Adjusted 2009 to 2022 (Dec 7)

    The Racial Dissimilarity Index measures the percentage of the non-hispanic white population in a county which would have to change Census tracts to equalize the racial distribution between white and non-white population groups across all tracts in the county. Starting with the 2016 observations, the calculation has been changed so that counties with only one census tract have missing data. Zero values represent counties where the proportions of non-white population and non-hispanic white population are the same. 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. Multiyear 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. Please 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 (https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018.pdf) for a more thorough clarification.

  • Persons, Annual, Not Seasonally Adjusted 2009 to 2022 (Dec 7)

    Data obtained from ACS Demographic and Housing Estimates, table DP05. 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. Multiyear 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. Please 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 (https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018.pdf) for a more thorough clarification.

  • Percent, Annual, Not Seasonally Adjusted 2009 to 2022 (Dec 7)

    Estimate of educational attainment for population 25 years old and over using 5 years of data. The percent of the population who has completed an Associate's degree or higher is calculated by FRED by adding the following variables from the 5-year American Community Survey (ACS) percent of the population with an Associate's Degree, percent of the population with a Bachelor's degree, and percent of the population with a Graduate or Professional degree. (ACS variables S1501_C02_011E, S1501_C02_012E, S1501_C02_013E from table S1501.) For more information about the subject definitions, see: https://www.census.gov/programs-surveys/acs/technical-documentation/code-lists.html. 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 estimates include data collected over a 60-month period. The date associated with the data is the end of the 5-year period. For example, a value dated 2014 represents data from 2010 to 2014. However, the value does not describe any specific day, month, or year within that time period. Multiyear estimates require some additional considerations. 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. Please see the ACS handbook (Section 3, "Understanding and Using ACS Single-Year and Multiyear Estimates," p. 13) for a comprehensive set of details and clarifications: https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018.pdf

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1930 to 2022 (Oct 26)

    BEA Account Code: W040RW For more information about this series, please see http://www.bea.gov/national/.

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1930 to 2022 (Oct 26)

    BEA Account Code: W038RW For more information about this series, please see http://www.bea.gov/national/.

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1930 to 2022 (Oct 26)

    BEA Account Code: W177RW For more information about this series, please see http://www.bea.gov/national/.

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1930 to 2022 (Oct 26)

    BEA Account Code: Y006RW A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf)

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1986 to 2022 (Oct 26)

    BEA Account Code: Y003RW A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf)

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1930 to 2022 (Oct 26)

    BEA Account Code: W049RW For more information about this series, please see http://www.bea.gov/national/.

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1930 to 2022 (Oct 26)

    BEA Account Code: W048RW For more information about this series, please see http://www.bea.gov/national/.

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1930 to 2022 (Oct 26)

    BEA Account Code: W046RW For more information about this series, please see http://www.bea.gov/national/.

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1930 to 2022 (Oct 26)

    BEA Account Code: W045RW For more information about this series, please see http://www.bea.gov/national/.

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1930 to 2022 (Oct 26)

    BEA Account Code: W037RW For more information about this series, please see http://www.bea.gov/national/.

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1930 to 2022 (Oct 26)

    BEA Account Code: W034RW For more information about this series, please see http://www.bea.gov/national/.

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1930 to 2022 (Oct 26)

    BEA Account Code: W031RW For more information about this series, please see http://www.bea.gov/national/.

  • Persons, Annual, Not Seasonally Adjusted 2009 to 2022 (Dec 7)

    Data obtained from ACS Demographic and Housing Estimates, table DP05. 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. Multiyear 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. Please 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 (https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018.pdf) for a more thorough clarification.

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1930 to 2022 (Oct 26)

    BEA Account Code: A758RW For more information about this series, please see http://www.bea.gov/national/.

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1930 to 2022 (Oct 26)

    BEA Account Code: A012RW For more information about this series, please see http://www.bea.gov/national/.

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1930 to 2022 (Oct 26)

    BEA Account Code: Y023RW A Guide to the National Income and Product Accounts of the United States (NIPA) - (http://www.bea.gov/national/pdf/nipaguid.pdf)

  • Persons, Annual, Not Seasonally Adjusted 2009 to 2022 (Dec 7)

    Data obtained from ACS Demographic and Housing Estimates, table DP05. 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. Multiyear 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. Please 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 (https://www.census.gov/content/dam/Census/library/publications/2018/acs/acs_general_handbook_2018.pdf) for a more thorough clarification.

  • Percentage Points at Annual Rate, Annual, Not Seasonally Adjusted 1930 to 2022 (Oct 26)

    BEA Account Code: C321RW For more information about this series, please see http://www.bea.gov/national/.


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