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Mean Adjusted Gross Income for Minnesota (MEANAGIMN27A052NCEN)

Observations

2022: 98,500
Updated: Dec 20, 2024 2:05 AM CST
2022:  98,500  
2021:  99,500  
2020:  84,040  
2019:  81,835  
2018:  84,037  

Units:

Dollars,
Not Seasonally Adjusted

Frequency:

Annual
1Y5Y10YMax
to
Date:
Bar 1 - Mean Adjusted Gross Income for Minnesota Vintage: 2023-12-14
Bar 1
(a) Mean Adjusted Gross Income for Minnesota, Dollars, Not Seasonally Adjusted (MEANAGIMN27A052NCEN)
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. Mean adjusted gross income from aggregated state IRS data is one of the data sources used in producing SAIPE program estimates, defined as the aggregate adjusted gross income divided by the number of returns. These data may not match data from other sources due to differences in definitions, since the SAIPE program only uses tax returns for the relevant income year (IRS/SOI include all tax returns filed in a calendar year in their tabulations, regardless of the reference income year). See more details about SAIPE Model Input Data (https://www.census.gov/data/datasets/time-series/demo/saipe/model-tables.html).

Select a date that will equal 100 for your custom index:
  Enter date as YYYY-MM-DD
to

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    Now create a custom formula to combine or transform the series.

    For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.

    Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.

    Finally, you can change the units of your new series.

    Select a date that will equal 100 for your custom index:
        Enter date as YYYY-MM-DD

    Bar 1 - Mean Adjusted Gross Income for Minnesota Vintage: 2023-12-14
    Bar 2
    (a) Mean Adjusted Gross Income for Minnesota, Dollars, Not Seasonally Adjusted (MEANAGIMN27A052NCEN)
    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. Mean adjusted gross income from aggregated state IRS data is one of the data sources used in producing SAIPE program estimates, defined as the aggregate adjusted gross income divided by the number of returns. These data may not match data from other sources due to differences in definitions, since the SAIPE program only uses tax returns for the relevant income year (IRS/SOI include all tax returns filed in a calendar year in their tabulations, regardless of the reference income year). See more details about SAIPE Model Input Data (https://www.census.gov/data/datasets/time-series/demo/saipe/model-tables.html).

    Select a date that will equal 100 for your custom index:
      Enter date as YYYY-MM-DD
    to

    Write a custom formula to transform one or more series or combine two or more series.

    You can begin by adding a series to combine with your existing series.

    Type keywords to search for data

      Now create a custom formula to combine or transform the series.

      For example, invert an exchange rate by using formula 1/a, where “a” refers to the first FRED data series added to this line. Or calculate the spread between 2 interest rates, a and b, by using the formula a - b.

      Use the assigned data series variables (a, b, c, etc.) together with operators (+, -, *, /, ^, etc.), parentheses and constants (1, 1.5, 2, etc.) to create your own formula (e.g., 1/a, a-b, (a+b)/2, (a/(a+b+c))*100). As noted above, you may add other data series to this line before entering a formula.

      Finally, you can change the units of your new series.

      Select a date that will equal 100 for your custom index:
          Enter date as YYYY-MM-DD

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      Bar 1
      Mean Adjusted Gross Income for Minnesota Vintage: 2023-12-14
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      Bar 2
      Mean Adjusted Gross Income for Minnesota Vintage: 2024-12-17
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      Notes

      Title Release Dates
      Mean Adjusted Gross Income for Minnesota 2015-03-10 2024-12-17
       
      Source    
      U.S. Census Bureau 2015-03-10 2024-12-17
       
      Release    
      Small Area Income and Poverty Estimates 2015-03-10 2024-12-17
       
      Units    
      Dollars 2015-03-10 2024-12-17
       
      Frequency    
      Annual 2015-03-10 2024-12-17
       
      Seasonal Adjustment    
      Not Seasonally Adjusted 2015-03-10 2024-12-17
       
      Notes    
      Mean Adjusted Gross Income - aggregate adjusted gross income divided by the number of returns. For more information please visit, https://www.census.gov/programs-surveys/saipe/guidance/model-input-data.html.

      		2015-03-10 2019-12-11
      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.

      Mean adjusted gross income from aggregated state IRS data is one of the data sources used in producing SAIPE program estimates, defined as the aggregate adjusted gross income divided by the number of returns. These data may not match data from other sources due to differences in definitions, since the SAIPE program only uses tax returns for the relevant income year (IRS/SOI include all tax returns filed in a calendar year in their tabulations, regardless of the reference income year).

      See more details about SAIPE Model Input Data (https://www.census.gov/data/datasets/time-series/demo/saipe/model-tables.html).

      		2019-12-12 2024-12-17

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      Adjusted Gross Income Adjusted Minnesota Tax Gross Average Small Area Income & Poverty Estimates Income State Census Annual Public Domain: Citation Requested Not Seasonally Adjusted United States of America

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