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This dataset contains US Census data on US household income gathered by the American Community Survey. This data was exported from the US Census Data website and then it was cleaned (symbols have been removed) and all years were appended together (annotation columns were removed). Historical data in this table is not adjusted for inflation.
Notes on the 2021 dataset from the US Census website can be found below:
ID: ACSST5Y2021.S1901 Title: INCOME IN THE PAST 12 MONTHS
Between 2018 and 2019 the American Community Survey retirement income question changed. These changes resulted in an increase in both the number of households reporting retirement income and higher aggregate retirement income at the national level. For more information see Changes to the Retirement Income Question .
The categories for relationship to householder were revised in 2019. For more information see Revisions to the Relationship to Household item.
When information is missing or inconsistent, the Census Bureau logically assigns an acceptable value using the response to a related question or questions. If a logical assignment is not possible, data are filled using a statistical process called allocation, which uses a similar individual or household to provide a donor value. The "Allocated" section is the number of respondents who received an allocated value for a particular subject.
Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.
Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section.
Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties.
Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables.
Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.
Explanation of Symbols:
| - | The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself. |
| N | The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. |
| (X) | The estimate or margin of error is not applicable or not available. |
| median- | The median falls in the lowest interval of an open-ended distribution (for example "2,500-") |
| median+ | The median falls in the highest interval of an open-ended distribution (for example "250,000+"). |
| ** | The margin of error could not be computed because there were a... |
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A dataset listing the richest zip codes in California per the most current US Census data, including information on rank and average income.
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A dataset listing the richest zip codes in Wisconsin per the most current US Census data, including information on rank and average income.
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A dataset listing the richest zip codes in Michigan per the most current US Census data, including information on rank and average income.
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A dataset listing the richest zip codes in Ohio per the most current US Census data, including information on rank and average income.
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A dataset listing the richest zip codes in Illinois per the most current US Census data, including information on rank and average income.
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Twitterhttps://cdla.io/sharing-1-0/https://cdla.io/sharing-1-0/
This dataset contains US Census data on US household income gathered by the American Community Survey. This data was exported from the US Census Data website and then it was cleaned (symbols have been removed) and all years were appended together (annotation columns were removed). Historical data in this table is not adjusted for inflation.
Notes on the 2021 dataset from the US Census website can be found below:
ID: ACSST5Y2021.S1901 Title: INCOME IN THE PAST 12 MONTHS
Between 2018 and 2019 the American Community Survey retirement income question changed. These changes resulted in an increase in both the number of households reporting retirement income and higher aggregate retirement income at the national level. For more information see Changes to the Retirement Income Question .
The categories for relationship to householder were revised in 2019. For more information see Revisions to the Relationship to Household item.
When information is missing or inconsistent, the Census Bureau logically assigns an acceptable value using the response to a related question or questions. If a logical assignment is not possible, data are filled using a statistical process called allocation, which uses a similar individual or household to provide a donor value. The "Allocated" section is the number of respondents who received an allocated value for a particular subject.
Supporting documentation on code lists, subject definitions, data accuracy, and statistical testing can be found on the American Community Survey website in the Technical Documentation section.
Sample size and data quality measures (including coverage rates, allocation rates, and response rates) can be found on the American Community Survey website in the Methodology section.
Although the American Community Survey (ACS) produces population, demographic and housing unit estimates, it is the Census Bureau's Population Estimates Program that produces and disseminates the official estimates of the population for the nation, states, counties, cities, and towns and estimates of housing units for states and counties.
Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see ACS Technical Documentation). The effect of nonsampling error is not represented in these tables.
Estimates of urban and rural populations, housing units, and characteristics reflect boundaries of urban areas defined based on Census 2010 data. As a result, data for urban and rural areas from the ACS do not necessarily reflect the results of ongoing urbanization.
Explanation of Symbols:
| - | The estimate could not be computed because there were an insufficient number of sample observations. For a ratio of medians estimate, one or both of the median estimates falls in the lowest interval or highest interval of an open-ended distribution. For a 5-year median estimate, the margin of error associated with a median was larger than the median itself. |
| N | The estimate or margin of error cannot be displayed because there were an insufficient number of sample cases in the selected geographic area. |
| (X) | The estimate or margin of error is not applicable or not available. |
| median- | The median falls in the lowest interval of an open-ended distribution (for example "2,500-") |
| median+ | The median falls in the highest interval of an open-ended distribution (for example "250,000+"). |
| ** | The margin of error could not be computed because there were a... |