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Community Indicators

Houses by Year Built

8,851

Housing units

This indicator is above average compared to similar geographies in Central Indiana.
This indicator is below average compared to similar geographies in Central Indiana.
Change in the past five years is above average compared to similar geographies in Central Indiana.
Change in the past five years is below average compared to similar geographies in Central Indiana.

We compare the indicator listed at the top of this card to other places of the same geography type (comparing counties to counties or tracts to tracts). We highlight an indicator when its value or rate of change is at least 1.5 standard deviations from the mean.

1 / 1
Houses by Year Built
<19401940s1950s1960s1970s1980s1990s2000s2010s2020s
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About This Data

  • DESCRIPTION:

    Single Family Housing Units by Year Built

  • ADDITIONAL INFO:

    The source for Total Housing Units is the American Community Survey (ACS) 5-Year Averages. The source for Year Built is either ACS (cities and towns) or Indiana Department of Local Government and Finance (all other geographies).

  • LIMITATIONS:

    There are several challenges involved in dealing with American Community Survey data.

    • Multi-year averages. ACS data presented here is derived from 5-year averages and presents the datayear as the last year of the 5-year average. For example, when we present a datayear of "2012" for ACS data it is actually referring to the 2008-2012 5-year average.

    • Margins-of-error. ACS data are based on much smaller samples than decennial long form data and as a result margins of error are much larger.

  • SOURCE NAME:

    American Community Survey 5-Yr Averages/Indiana Department of Local Government and Finance via IBRC

  • ABOUT:

    City/Town data: The Department of Local Government Finance (DLGF) is responsible for ensuring property tax assessment and local government budgeting are carried out in accordance with Indiana law. The Department is charged with publishing property tax assessment rules and annually reviewing and approving the tax rates and levies of every political subdivision in the state, including all counties, cities, towns, townships, school corporations, libraries, and other entities with tax levy authority. IDLGF provides data related to parcels, dwellings, real estate sales and taxes. Historical data are available beginning in 2002 for all 92 Indiana counties. Tax data begin in 2003 and sales data begin in 2004. Tract,County data: The American Community Survey (ACS) is a US Census Bureau program designed to supplement the decennial census. ACS replaced long-form (SF3) census data beginning with the 2010 Census. The advantage of ACS data is that it is released annually and is therefore more up-to-date than decennial census data. Disadvantages include the fact that since the estimates are based on smaller sample sizes that decennial census data, margins-of-error must be considered when using the data.

    See the U.S. Census Bureau American Community Survey web site, http://www.census.gov/programs-surveys/acs/ , and technical documentation for each release of data for a complete discussion of assumptions concerning ACS data.

  • This data comes from:

  • American Community Survey 5-Yr Averages/Indiana Department of Local Government and Finance via IBRC

    City/Town data: The Department of Local Government Finance (DLGF) is responsible for ensuring property tax assessment and local government budgeting are carried out in accordance with Indiana law. The Department is charged with publishing property tax assessment rules and annually reviewing and approving the tax rates and levies of every political subdivision in the state, including all counties, cities, towns, townships, school corporations, libraries, and other entities with tax levy authority. IDLGF provides data related to parcels, dwellings, real estate sales and taxes. Historical data are available beginning in 2002 for all 92 Indiana counties. Tax data begin in 2003 and sales data begin in 2004. Tract,County data: The American Community Survey (ACS) is a US Census Bureau program designed to supplement the decennial census. ACS replaced long-form (SF3) census data beginning with the 2010 Census. The advantage of ACS data is that it is released annually and is therefore more up-to-date than decennial census data. Disadvantages include the fact that since the estimates are based on smaller sample sizes that decennial census data, margins-of-error must be considered when using the data.

    See the U.S. Census Bureau American Community Survey web site, http://www.census.gov/programs-surveys/acs/ , and technical documentation for each release of data for a complete discussion of assumptions concerning ACS data.

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Population by Age

22,683

Total population (2023)

This indicator is above average compared to similar geographies in Central Indiana.
This indicator is below average compared to similar geographies in Central Indiana.
Change in the past five years is above average compared to similar geographies in Central Indiana.
Change in the past five years is below average compared to similar geographies in Central Indiana.

We compare the indicator listed at the top of this card to other places of the same geography type (comparing counties to counties or tracts to tracts). We highlight an indicator when its value or rate of change is at least 1.5 standard deviations from the mean.

1 / 3
Population by Age
0510152085+
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About This Data

  • DESCRIPTION:

    Population counts by age category.

  • IMPORTANCE:

    The age distribution shows which age categories are present in an area. By comparing to the county or the region, you can understand which ages are under-represented or over-represented. Age distribution also tells you about how the population might change through time. For example, a large number of children under 5 years old suggests that, in 10-15 years, there will be more demand for high school capacity. Or, a large number of adults 50-60 years old suggests that, in 15-20 years, many people will retire from the workforce and have changing needs as they age.

  • LIMITATIONS:

    2023 Metropolitan Statistical Areas. Beginning with 2023 ACS data, the Indianapolis MSA definition changed. Putnam County was removed and Tipton county was added. Even though the map displays the old definition, the numbers represent the new definition for data years 2023+.

    There are several challenges involved in dealing with American Community Survey data.

    • Multi-year averages. ACS data presented here is derived from 5-year averages and presents the datayear as the last year of the 5-year average. For example, when we present a datayear of "2012" for ACS data it is actually referring to the 2008-2012 5-year average.

    • Margins-of-error. ACS data are based on much smaller samples than decennial long form data and as a result margins of error are much larger.

  • SOURCE NAME:

    American Community Survey 5-year Averages

  • ABOUT:

    The American Community Survey (ACS) is a US Census Bureau program designed to supplement the decennial census. ACS replaced long-form (SF3) census data beginning with the 2010 Census. The advantage of ACS data is that it is released annually and is therefore more up-to-date than decennial census data. Disadvantages include the fact that since the estimates are based on smaller sample sizes that decennial census data, margins-of-error must be considered when using the data.

    See the U.S. Census Bureau American Community Survey web site, http://www.census.gov/programs-surveys/acs/ , and technical documentation for each release of data for a complete discussion of assumptions concerning ACS data.

  • This data comes from:

  • American Community Survey 5-year Averages

    The American Community Survey (ACS) is a US Census Bureau program designed to supplement the decennial census. ACS replaced long-form (SF3) census data beginning with the 2010 Census. The advantage of ACS data is that it is released annually and is therefore more up-to-date than decennial census data. Disadvantages include the fact that since the estimates are based on smaller sample sizes that decennial census data, margins-of-error must be considered when using the data.

    See the U.S. Census Bureau American Community Survey web site, http://www.census.gov/programs-surveys/acs/ , and technical documentation for each release of data for a complete discussion of assumptions concerning ACS data.

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Population

22,683

people (2023)

This indicator is above average compared to similar geographies in Central Indiana.
This indicator is below average compared to similar geographies in Central Indiana.
Change in the past five years is above average compared to similar geographies in Central Indiana.
Change in the past five years is below average compared to similar geographies in Central Indiana.

We compare the indicator listed at the top of this card to other places of the same geography type (comparing counties to counties or tracts to tracts). We highlight an indicator when its value or rate of change is at least 1.5 standard deviations from the mean.

1 / 3
Population Over Time
Total Population2010202311,65322,683
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About This Data

  • DESCRIPTION:

    Population of the assessment area

  • IMPORTANCE:

    The total population count often underlies other metrics. It can be used to give relative proportions between areas.

  • LIMITATIONS:

    U.S. Census tract and blockgroup geographies changed in 2020. In an effort to align prior year data to the new geographies, The Polis Center used a weighting methodology to estimate the values for those years.

    2023 Metropolitan Statistical Areas. Beginning with 2023 ACS data, the Indianapolis MSA definition changed. Putnam County was removed and Tipton county was added. Even though the map displays the old definition, the numbers represent the new definition for data years 2023+.

    It should also be noted that the margin of error (MOE) for ACS 5-Year Average Estimate data for 2020 at the tract and blockgroup level is unusually high for some data. Caution should be used when comparing across time at those geographic levels.

    There are several challenges involved in dealing with American Community Survey data.

    • Multi-year averages. ACS data presented here is derived from 5-year averages and presents the datayear as the last year of the 5-year average. For example, when we present a datayear of "2012" for ACS data it is actually referring to the 2008-2012 5-year average.

    • Margins-of-error. ACS data are based on much smaller samples than decennial long form data and as a result margins of error are much larger.

  • SOURCE NAME:

    American Community Survey 5-year Averages

  • ABOUT:

    The American Community Survey (ACS) is a US Census Bureau program designed to supplement the decennial census. ACS replaced long-form (SF3) census data beginning with the 2010 Census. The advantage of ACS data is that it is released annually and is therefore more up-to-date than decennial census data. Disadvantages include the fact that since the estimates are based on smaller sample sizes that decennial census data, margins-of-error must be considered when using the data.

    See the U.S. Census Bureau American Community Survey web site, http://www.census.gov/programs-surveys/acs/ , and technical documentation for each release of data for a complete discussion of assumptions concerning ACS data.

  • This data comes from:

  • American Community Survey 5-year Averages

    The American Community Survey (ACS) is a US Census Bureau program designed to supplement the decennial census. ACS replaced long-form (SF3) census data beginning with the 2010 Census. The advantage of ACS data is that it is released annually and is therefore more up-to-date than decennial census data. Disadvantages include the fact that since the estimates are based on smaller sample sizes that decennial census data, margins-of-error must be considered when using the data.

    See the U.S. Census Bureau American Community Survey web site, http://www.census.gov/programs-surveys/acs/ , and technical documentation for each release of data for a complete discussion of assumptions concerning ACS data.

Download this card.
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People of Color

31%

of total population (2023)

This indicator is above average compared to similar geographies in Central Indiana.
This indicator is below average compared to similar geographies in Central Indiana.
Change in the past five years is above average compared to similar geographies in Central Indiana.
Change in the past five years is below average compared to similar geographies in Central Indiana.

We compare the indicator listed at the top of this card to other places of the same geography type (comparing counties to counties or tracts to tracts). We highlight an indicator when its value or rate of change is at least 1.5 standard deviations from the mean.

1 / 3
People of Color as Pct. of Total Population
IndianaMetroHendricksAvon2010202310.5%31.7%
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About This Data

  • DESCRIPTION:

    Percent of population that is not “non-Hispanic Caucasian”

  • IMPORTANCE:

    This metric describes the racial and ethnic diversity of a given area.

  • ADDITIONAL INFO:

    In addition to the percentage of minority populations, other categories can be broken down by race to see employment status, poverty level, gender, and educational attainment for this population.

  • LIMITATIONS:

    U.S. Census tract and blockgroup geographies changed in 2020. In an effort to align prior year data to the new geographies, The Polis Center used a weighting methodology to estimate the values for those years.

    2023 Metropolitan Statistical Areas. Beginning with 2023 ACS data, the Indianapolis MSA definition changed. Putnam County was removed and Tipton county was added. Even though the map displays the old definition, the numbers represent the new definition for data years 2023+.

    It should also be noted that the margin of error (MOE) for ACS 5-Year Average Estimate data for 2020 at the tract and blockgroup level is unusually high for some data. Caution should be used when comparing across time at those geographic levels.

    The US Census separates and classifies racial and ethnic categories as separate (racial categories include racial and national-origin groups) which may not accurately reflect how an individual would identify themselves.

    There are several challenges involved in dealing with American Community Survey data.

    • Multi-year averages. ACS data presented here is derived from 5-year averages and presents the datayear as the last year of the 5-year average. For example, when we present a datayear of "2012" for ACS data it is actually referring to the 2008-2012 5-year average.

    • Margins-of-error. ACS data are based on much smaller samples than decennial long form data and as a result margins of error are much larger.

  • SOURCE NAME:

    American Community Survey 5-year Averages

  • ABOUT:

    The American Community Survey (ACS) is a US Census Bureau program designed to supplement the decennial census. ACS replaced long-form (SF3) census data beginning with the 2010 Census. The advantage of ACS data is that it is released annually and is therefore more up-to-date than decennial census data. Disadvantages include the fact that since the estimates are based on smaller sample sizes that decennial census data, margins-of-error must be considered when using the data.

    See the U.S. Census Bureau American Community Survey web site, http://www.census.gov/programs-surveys/acs/ , and technical documentation for each release of data for a complete discussion of assumptions concerning ACS data.

  • This data comes from:

  • American Community Survey 5-year Averages

    The American Community Survey (ACS) is a US Census Bureau program designed to supplement the decennial census. ACS replaced long-form (SF3) census data beginning with the 2010 Census. The advantage of ACS data is that it is released annually and is therefore more up-to-date than decennial census data. Disadvantages include the fact that since the estimates are based on smaller sample sizes that decennial census data, margins-of-error must be considered when using the data.

    See the U.S. Census Bureau American Community Survey web site, http://www.census.gov/programs-surveys/acs/ , and technical documentation for each release of data for a complete discussion of assumptions concerning ACS data.

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Median Household Income

$97,589

(2023)

This indicator is above average compared to similar geographies in Central Indiana.
This indicator is below average compared to similar geographies in Central Indiana.
Change in the past five years is above average compared to similar geographies in Central Indiana.
Change in the past five years is below average compared to similar geographies in Central Indiana.

We compare the indicator listed at the top of this card to other places of the same geography type (comparing counties to counties or tracts to tracts). We highlight an indicator when its value or rate of change is at least 1.5 standard deviations from the mean.

1 / 3
Median Household Income
IndianaMetroHendricksAvon20102023$47,697$99,988
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About This Data

  • DESCRIPTION:

    The median income of households: the amount at which half of the households in the area have more income and half have less income.

  • IMPORTANCE:

    Median income indicates the generally "average" income in an area. It is one of the most common indicators of economic status of an area.

  • LIMITATIONS:

    U.S. Census tract and blockgroup geographies changed in 2020. In an effort to align prior year data to the new geographies, The Polis Center used a weighting methodology to estimate the values for those years.

    2023 Metropolitan Statistical Areas. Beginning with 2023 ACS data, the Indianapolis MSA definition changed. Putnam County was removed and Tipton county was added. Even though the map displays the old definition, the numbers represent the new definition for data years 2023+.

    It should also be noted that the margin of error (MOE) for ACS 5-Year Average Estimate data for 2020 at the tract and blockgroup level is unusually high for some data. Caution should be used when comparing across time at those geographic levels.

    There are several challenges involved in dealing with American Community Survey data.

    • Multi-year averages. ACS data presented here is derived from 5-year averages and presents the datayear as the last year of the 5-year average. For example, when we present a datayear of "2012" for ACS data it is actually referring to the 2008-2012 5-year average.

    • Margins-of-error. ACS data are based on much smaller samples than decennial long form data and as a result margins of error are much larger.

  • SOURCE NAME:

    American Community Survey 5-year Averages

  • ABOUT:

    The American Community Survey (ACS) is a US Census Bureau program designed to supplement the decennial census. ACS replaced long-form (SF3) census data beginning with the 2010 Census. The advantage of ACS data is that it is released annually and is therefore more up-to-date than decennial census data. Disadvantages include the fact that since the estimates are based on smaller sample sizes that decennial census data, margins-of-error must be considered when using the data.

    See the U.S. Census Bureau American Community Survey web site, http://www.census.gov/programs-surveys/acs/ , and technical documentation for each release of data for a complete discussion of assumptions concerning ACS data.

  • This data comes from:

  • American Community Survey 5-year Averages

    The American Community Survey (ACS) is a US Census Bureau program designed to supplement the decennial census. ACS replaced long-form (SF3) census data beginning with the 2010 Census. The advantage of ACS data is that it is released annually and is therefore more up-to-date than decennial census data. Disadvantages include the fact that since the estimates are based on smaller sample sizes that decennial census data, margins-of-error must be considered when using the data.

    See the U.S. Census Bureau American Community Survey web site, http://www.census.gov/programs-surveys/acs/ , and technical documentation for each release of data for a complete discussion of assumptions concerning ACS data.

Download this card.
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Median Age

37.4

years (2023)

This indicator is above average compared to similar geographies in Central Indiana.
This indicator is below average compared to similar geographies in Central Indiana.
Change in the past five years is above average compared to similar geographies in Central Indiana.
Change in the past five years is below average compared to similar geographies in Central Indiana.

We compare the indicator listed at the top of this card to other places of the same geography type (comparing counties to counties or tracts to tracts). We highlight an indicator when its value or rate of change is at least 1.5 standard deviations from the mean.

1 / 3
Median Age
IndianaMetroHendricksAvon201020233239
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About This Data

  • DESCRIPTION:

    The median age of the population; the age at which half of the population in the area is older and half is younger.

  • IMPORTANCE:

    Median age is a measure of relative age of a population. There can be issues within a society that had a preponderance of older or younger people as it puts more pressure on working age adults to support those people who are typically not in the labor force.

  • LIMITATIONS:

    U.S. Census tract and blockgroup geographies changed in 2020. In an effort to align prior year data to the new geographies, The Polis Center used a weighting methodology to estimate the values for those years.

    2023 Metropolitan Statistical Areas. Beginning with 2023 ACS data, the Indianapolis MSA definition changed. Putnam County was removed and Tipton county was added. Even though the map displays the old definition, the numbers represent the new definition for data years 2023+.

    It should also be noted that the margin of error (MOE) for ACS 5-Year Average Estimate data for 2020 at the tract and blockgroup level is unusually high for some data. Caution should be used when comparing across time at those geographic levels.

    There are several challenges involved in dealing with American Community Survey data.

    • Multi-year averages. ACS data presented here is derived from 5-year averages and presents the datayear as the last year of the 5-year average. For example, when we present a datayear of "2012" for ACS data it is actually referring to the 2008-2012 5-year average.

    • Margins-of-error. ACS data are based on much smaller samples than decennial long form data and as a result margins of error are much larger.

  • SOURCE NAME:

    American Community Survey 5-year Averages

  • ABOUT:

    The American Community Survey (ACS) is a US Census Bureau program designed to supplement the decennial census. ACS replaced long-form (SF3) census data beginning with the 2010 Census. The advantage of ACS data is that it is released annually and is therefore more up-to-date than decennial census data. Disadvantages include the fact that since the estimates are based on smaller sample sizes that decennial census data, margins-of-error must be considered when using the data.

    See the U.S. Census Bureau American Community Survey web site, http://www.census.gov/programs-surveys/acs/ , and technical documentation for each release of data for a complete discussion of assumptions concerning ACS data.

  • This data comes from:

  • American Community Survey 5-year Averages

    The American Community Survey (ACS) is a US Census Bureau program designed to supplement the decennial census. ACS replaced long-form (SF3) census data beginning with the 2010 Census. The advantage of ACS data is that it is released annually and is therefore more up-to-date than decennial census data. Disadvantages include the fact that since the estimates are based on smaller sample sizes that decennial census data, margins-of-error must be considered when using the data.

    See the U.S. Census Bureau American Community Survey web site, http://www.census.gov/programs-surveys/acs/ , and technical documentation for each release of data for a complete discussion of assumptions concerning ACS data.

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Houses by Year Built

Download This Data
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MY AREACOUNTYMETROSTATE
Indicator Count Rate Count Rate Count Rate Count Rate
Pre 1939 89 1.0%
1940-1949 28 .3%
1950-1959 153 1.7%
1960-1969 268 3.0%
1970-1979 78 .9%
1980-1989 341 3.9%
1990-1999 2,917 33.0%
2000-2009 1,907 21.5%
2010-2019 2,699 30.5%
2020 and later 371 4.2%
Pre 1939 89 1.0%
1940-1949 28 .3%
1950-1959 153 1.7%
1960-1969 268 3.0%
1970-1979 78 .9%
1980-1989 341 3.9%
1990-1999 2,917 33.0%
2000-2009 1,907 21.5%
2010-2019 2,699 30.5%
2020 and later 371 4.2%
×

About This Data

  • DESCRIPTION:

    Single Family Housing Units by Year Built

  • ADDITIONAL INFO:

    The source for Total Housing Units is the American Community Survey (ACS) 5-Year Averages. The source for Year Built is either ACS (cities and towns) or Indiana Department of Local Government and Finance (all other geographies).

  • LIMITATIONS:

    There are several challenges involved in dealing with American Community Survey data.

    • Multi-year averages. ACS data presented here is derived from 5-year averages and presents the datayear as the last year of the 5-year average. For example, when we present a datayear of "2012" for ACS data it is actually referring to the 2008-2012 5-year average.

    • Margins-of-error. ACS data are based on much smaller samples than decennial long form data and as a result margins of error are much larger.

  • ABOUT:

    City/Town data: The Department of Local Government Finance (DLGF) is responsible for ensuring property tax assessment and local government budgeting are carried out in accordance with Indiana law. The Department is charged with publishing property tax assessment rules and annually reviewing and approving the tax rates and levies of every political subdivision in the state, including all counties, cities, towns, townships, school corporations, libraries, and other entities with tax levy authority. IDLGF provides data related to parcels, dwellings, real estate sales and taxes. Historical data are available beginning in 2002 for all 92 Indiana counties. Tax data begin in 2003 and sales data begin in 2004. Tract,County data: The American Community Survey (ACS) is a US Census Bureau program designed to supplement the decennial census. ACS replaced long-form (SF3) census data beginning with the 2010 Census. The advantage of ACS data is that it is released annually and is therefore more up-to-date than decennial census data. Disadvantages include the fact that since the estimates are based on smaller sample sizes that decennial census data, margins-of-error must be considered when using the data.

    See the U.S. Census Bureau American Community Survey web site, http://www.census.gov/programs-surveys/acs/ , and technical documentation for each release of data for a complete discussion of assumptions concerning ACS data.

  • This data comes from:

  • American Community Survey 5-Yr Averages/Indiana Department of Local Government and Finance via IBRC

    City/Town data: The Department of Local Government Finance (DLGF) is responsible for ensuring property tax assessment and local government budgeting are carried out in accordance with Indiana law. The Department is charged with publishing property tax assessment rules and annually reviewing and approving the tax rates and levies of every political subdivision in the state, including all counties, cities, towns, townships, school corporations, libraries, and other entities with tax levy authority. IDLGF provides data related to parcels, dwellings, real estate sales and taxes. Historical data are available beginning in 2002 for all 92 Indiana counties. Tax data begin in 2003 and sales data begin in 2004. Tract,County data: The American Community Survey (ACS) is a US Census Bureau program designed to supplement the decennial census. ACS replaced long-form (SF3) census data beginning with the 2010 Census. The advantage of ACS data is that it is released annually and is therefore more up-to-date than decennial census data. Disadvantages include the fact that since the estimates are based on smaller sample sizes that decennial census data, margins-of-error must be considered when using the data.

    See the U.S. Census Bureau American Community Survey web site, http://www.census.gov/programs-surveys/acs/ , and technical documentation for each release of data for a complete discussion of assumptions concerning ACS data.

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Note: Percent is calculated as row total ÷ total housing units. (Example: units built before 1939 ÷ all units)


Population by Age

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MY AREACOUNTYMETROSTATE
Indicator Count Rate Count Rate Count Rate Count Rate
Age 0-4 1,289 9,881 133,713 411,823
Age 5-9 1,386 12,170 143,334 438,092
Age 10-14 1,628 13,779 151,275 462,851
Age 15-19 1,761 12,426 139,734 473,339
Age 20-24 1,186 10,110 130,907 466,343
Age 25-34 3,013 22,081 300,614 891,660
Age 35-44 3,719 26,530 288,092 860,091
Age 45-54 3,181 24,130 260,735 822,538
Age 55-64 2,775 21,866 258,691 868,712
Age 65-74 1,806 16,212 187,132 671,556
Age 75-84 652 7,488 83,081 317,270
Age 85+ 287 2,706 33,664 127,477
Age 0-4 1,289 9,881 133,713 411,823
Age 5-9 1,386 12,170 143,334 438,092
Age 10-14 1,628 13,779 151,275 462,851
Age 15-19 1,761 12,426 139,734 473,339
Age 20-24 1,186 10,110 130,907 466,343
Age 25-34 3,013 22,081 300,614 891,660
Age 35-44 3,719 26,530 288,092 860,091
Age 45-54 3,181 24,130 260,735 822,538
Age 55-64 2,775 21,866 258,691 868,712
Age 65-74 1,806 16,212 187,132 671,556
Age 75-84 652 7,488 83,081 317,270
Age 85+ 287 2,706 33,664 127,477
×

About This Data

  • DESCRIPTION:

    Population counts by age category.

  • IMPORTANCE:

    The age distribution shows which age categories are present in an area. By comparing to the county or the region, you can understand which ages are under-represented or over-represented. Age distribution also tells you about how the population might change through time. For example, a large number of children under 5 years old suggests that, in 10-15 years, there will be more demand for high school capacity. Or, a large number of adults 50-60 years old suggests that, in 15-20 years, many people will retire from the workforce and have changing needs as they age.

  • LIMITATIONS:

    2023 Metropolitan Statistical Areas. Beginning with 2023 ACS data, the Indianapolis MSA definition changed. Putnam County was removed and Tipton county was added. Even though the map displays the old definition, the numbers represent the new definition for data years 2023+.

    There are several challenges involved in dealing with American Community Survey data.

    • Multi-year averages. ACS data presented here is derived from 5-year averages and presents the datayear as the last year of the 5-year average. For example, when we present a datayear of "2012" for ACS data it is actually referring to the 2008-2012 5-year average.

    • Margins-of-error. ACS data are based on much smaller samples than decennial long form data and as a result margins of error are much larger.

  • ABOUT:

    The American Community Survey (ACS) is a US Census Bureau program designed to supplement the decennial census. ACS replaced long-form (SF3) census data beginning with the 2010 Census. The advantage of ACS data is that it is released annually and is therefore more up-to-date than decennial census data. Disadvantages include the fact that since the estimates are based on smaller sample sizes that decennial census data, margins-of-error must be considered when using the data.

    See the U.S. Census Bureau American Community Survey web site, http://www.census.gov/programs-surveys/acs/ , and technical documentation for each release of data for a complete discussion of assumptions concerning ACS data.

  • This data comes from:

  • American Community Survey 5-year Averages

    The American Community Survey (ACS) is a US Census Bureau program designed to supplement the decennial census. ACS replaced long-form (SF3) census data beginning with the 2010 Census. The advantage of ACS data is that it is released annually and is therefore more up-to-date than decennial census data. Disadvantages include the fact that since the estimates are based on smaller sample sizes that decennial census data, margins-of-error must be considered when using the data.

    See the U.S. Census Bureau American Community Survey web site, http://www.census.gov/programs-surveys/acs/ , and technical documentation for each release of data for a complete discussion of assumptions concerning ACS data.

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Population

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MY AREACOUNTYMETROSTATE
Indicator Count Rate Count Rate Count Rate Count Rate
Total 22,683 179,379 2,106,327 6,811,752
Asian (Non-Hispanic) 934 4% 5,884 3% 80,151 4% 171,292 3%
Black (Non-Hispanic) 3,192 14% 16,116 9% 314,909 15% 621,991 9%
Hispanic 1,900 8% 8,849 5% 181,737 9% 569,410 8%
White (Non-Hispanic) 15,670 69% 142,074 79% 1,439,237 68% 5,184,070 76%
Female 12,138 54% 89,272 50% 1,071,536 51% 3,434,741 50%
Male 10,545 46% 90,107 50% 1,034,791 49% 3,377,011 50%
Total 22,683 179,379 2,106,327 6,811,752
Asian (Non-Hispanic) 934 4% 5,884 3% 80,151 4% 171,292 3%
Black (Non-Hispanic) 3,192 14% 16,116 9% 314,909 15% 621,991 9%
Hispanic 1,900 8% 8,849 5% 181,737 9% 569,410 8%
White (Non-Hispanic) 15,670 69% 142,074 79% 1,439,237 68% 5,184,070 76%
Female 12,138 54% 89,272 50% 1,071,536 51% 3,434,741 50%
Male 10,545 46% 90,107 50% 1,034,791 49% 3,377,011 50%
×

About This Data

  • DESCRIPTION:

    Population of the assessment area

  • IMPORTANCE:

    The total population count often underlies other metrics. It can be used to give relative proportions between areas.

  • LIMITATIONS:

    U.S. Census tract and blockgroup geographies changed in 2020. In an effort to align prior year data to the new geographies, The Polis Center used a weighting methodology to estimate the values for those years.

    2023 Metropolitan Statistical Areas. Beginning with 2023 ACS data, the Indianapolis MSA definition changed. Putnam County was removed and Tipton county was added. Even though the map displays the old definition, the numbers represent the new definition for data years 2023+.

    It should also be noted that the margin of error (MOE) for ACS 5-Year Average Estimate data for 2020 at the tract and blockgroup level is unusually high for some data. Caution should be used when comparing across time at those geographic levels.

    There are several challenges involved in dealing with American Community Survey data.

    • Multi-year averages. ACS data presented here is derived from 5-year averages and presents the datayear as the last year of the 5-year average. For example, when we present a datayear of "2012" for ACS data it is actually referring to the 2008-2012 5-year average.

    • Margins-of-error. ACS data are based on much smaller samples than decennial long form data and as a result margins of error are much larger.

  • ABOUT:

    The American Community Survey (ACS) is a US Census Bureau program designed to supplement the decennial census. ACS replaced long-form (SF3) census data beginning with the 2010 Census. The advantage of ACS data is that it is released annually and is therefore more up-to-date than decennial census data. Disadvantages include the fact that since the estimates are based on smaller sample sizes that decennial census data, margins-of-error must be considered when using the data.

    See the U.S. Census Bureau American Community Survey web site, http://www.census.gov/programs-surveys/acs/ , and technical documentation for each release of data for a complete discussion of assumptions concerning ACS data.

  • This data comes from:

  • American Community Survey 5-year Averages

    The American Community Survey (ACS) is a US Census Bureau program designed to supplement the decennial census. ACS replaced long-form (SF3) census data beginning with the 2010 Census. The advantage of ACS data is that it is released annually and is therefore more up-to-date than decennial census data. Disadvantages include the fact that since the estimates are based on smaller sample sizes that decennial census data, margins-of-error must be considered when using the data.

    See the U.S. Census Bureau American Community Survey web site, http://www.census.gov/programs-surveys/acs/ , and technical documentation for each release of data for a complete discussion of assumptions concerning ACS data.

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Note: Percent is calculated as row total ÷ total population. (Example: White population ÷ total population)


People of Color

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MY AREACOUNTYMETROSTATE
Indicator Count Rate Count Rate Count Rate Count Rate
Total 7,013 31% 37,305 21% 667,090 32% 1,627,682 24%
Female 3,985 33% 17,967 20% 340,866 32% 817,409 24%
Male 3,028 29% 19,338 21% 326,224 32% 810,273 24%
Under 5 Years 744 58% 2,756 28% 58,933 44% 138,677 34%
Under 18 Years 2,269 41% 11,715 26% 217,356 42% 520,846 33%
18-64 Years 4,232 29% 23,408 22% 400,168 31% 975,764 24%
65 Years and Over 512 19% 2,182 8% 49,566 16% 131,072 12%
Total 7,013 31% 37,305 21% 667,090 32% 1,627,682 24%
Female 3,985 33% 17,967 20% 340,866 32% 817,409 24%
Male 3,028 29% 19,338 21% 326,224 32% 810,273 24%
Under 5 Years 744 58% 2,756 28% 58,933 44% 138,677 34%
Under 18 Years 2,269 41% 11,715 26% 217,356 42% 520,846 33%
18-64 Years 4,232 29% 23,408 22% 400,168 31% 975,764 24%
65 Years and Over 512 19% 2,182 8% 49,566 16% 131,072 12%
×

About This Data

  • DESCRIPTION:

    Percent of population that is not “non-Hispanic Caucasian”

  • IMPORTANCE:

    This metric describes the racial and ethnic diversity of a given area.

  • ADDITIONAL INFO:

    In addition to the percentage of minority populations, other categories can be broken down by race to see employment status, poverty level, gender, and educational attainment for this population.

  • LIMITATIONS:

    U.S. Census tract and blockgroup geographies changed in 2020. In an effort to align prior year data to the new geographies, The Polis Center used a weighting methodology to estimate the values for those years.

    2023 Metropolitan Statistical Areas. Beginning with 2023 ACS data, the Indianapolis MSA definition changed. Putnam County was removed and Tipton county was added. Even though the map displays the old definition, the numbers represent the new definition for data years 2023+.

    It should also be noted that the margin of error (MOE) for ACS 5-Year Average Estimate data for 2020 at the tract and blockgroup level is unusually high for some data. Caution should be used when comparing across time at those geographic levels.

    The US Census separates and classifies racial and ethnic categories as separate (racial categories include racial and national-origin groups) which may not accurately reflect how an individual would identify themselves.

    There are several challenges involved in dealing with American Community Survey data.

    • Multi-year averages. ACS data presented here is derived from 5-year averages and presents the datayear as the last year of the 5-year average. For example, when we present a datayear of "2012" for ACS data it is actually referring to the 2008-2012 5-year average.

    • Margins-of-error. ACS data are based on much smaller samples than decennial long form data and as a result margins of error are much larger.

  • ABOUT:

    The American Community Survey (ACS) is a US Census Bureau program designed to supplement the decennial census. ACS replaced long-form (SF3) census data beginning with the 2010 Census. The advantage of ACS data is that it is released annually and is therefore more up-to-date than decennial census data. Disadvantages include the fact that since the estimates are based on smaller sample sizes that decennial census data, margins-of-error must be considered when using the data.

    See the U.S. Census Bureau American Community Survey web site, http://www.census.gov/programs-surveys/acs/ , and technical documentation for each release of data for a complete discussion of assumptions concerning ACS data.

  • This data comes from:

  • American Community Survey 5-year Averages

    The American Community Survey (ACS) is a US Census Bureau program designed to supplement the decennial census. ACS replaced long-form (SF3) census data beginning with the 2010 Census. The advantage of ACS data is that it is released annually and is therefore more up-to-date than decennial census data. Disadvantages include the fact that since the estimates are based on smaller sample sizes that decennial census data, margins-of-error must be considered when using the data.

    See the U.S. Census Bureau American Community Survey web site, http://www.census.gov/programs-surveys/acs/ , and technical documentation for each release of data for a complete discussion of assumptions concerning ACS data.

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Note: Percent is calculated as rate for each row. (Example: female people of color ÷ total female population)


Median Household Income

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MY AREACOUNTYMETROSTATE
Indicator Count Rate Count Rate Count Rate Count Rate
Median Household Income (All Households) $97,589 $99,988 $77,065 $70,051
Asian Households $132,744 $108,095 $100,256 $82,077
Black Households $65,129 $86,148 $48,318 $45,022
White Households (Non-Hispanic) $113,097 $103,287 $85,944 $73,905
Median Household Income (All Households) $97,589 $99,988 $77,065 $70,051
Asian Households $132,744 $108,095 $100,256 $82,077
Black Households $65,129 $86,148 $48,318 $45,022
White Households (Non-Hispanic) $113,097 $103,287 $85,944 $73,905
×

About This Data

  • DESCRIPTION:

    The median income of households: the amount at which half of the households in the area have more income and half have less income.

  • IMPORTANCE:

    Median income indicates the generally "average" income in an area. It is one of the most common indicators of economic status of an area.

  • LIMITATIONS:

    U.S. Census tract and blockgroup geographies changed in 2020. In an effort to align prior year data to the new geographies, The Polis Center used a weighting methodology to estimate the values for those years.

    2023 Metropolitan Statistical Areas. Beginning with 2023 ACS data, the Indianapolis MSA definition changed. Putnam County was removed and Tipton county was added. Even though the map displays the old definition, the numbers represent the new definition for data years 2023+.

    It should also be noted that the margin of error (MOE) for ACS 5-Year Average Estimate data for 2020 at the tract and blockgroup level is unusually high for some data. Caution should be used when comparing across time at those geographic levels.

    There are several challenges involved in dealing with American Community Survey data.

    • Multi-year averages. ACS data presented here is derived from 5-year averages and presents the datayear as the last year of the 5-year average. For example, when we present a datayear of "2012" for ACS data it is actually referring to the 2008-2012 5-year average.

    • Margins-of-error. ACS data are based on much smaller samples than decennial long form data and as a result margins of error are much larger.

  • ABOUT:

    The American Community Survey (ACS) is a US Census Bureau program designed to supplement the decennial census. ACS replaced long-form (SF3) census data beginning with the 2010 Census. The advantage of ACS data is that it is released annually and is therefore more up-to-date than decennial census data. Disadvantages include the fact that since the estimates are based on smaller sample sizes that decennial census data, margins-of-error must be considered when using the data.

    See the U.S. Census Bureau American Community Survey web site, http://www.census.gov/programs-surveys/acs/ , and technical documentation for each release of data for a complete discussion of assumptions concerning ACS data.

  • This data comes from:

  • American Community Survey 5-year Averages

    The American Community Survey (ACS) is a US Census Bureau program designed to supplement the decennial census. ACS replaced long-form (SF3) census data beginning with the 2010 Census. The advantage of ACS data is that it is released annually and is therefore more up-to-date than decennial census data. Disadvantages include the fact that since the estimates are based on smaller sample sizes that decennial census data, margins-of-error must be considered when using the data.

    See the U.S. Census Bureau American Community Survey web site, http://www.census.gov/programs-surveys/acs/ , and technical documentation for each release of data for a complete discussion of assumptions concerning ACS data.

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Median Age

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MY AREACOUNTYMETROSTATE
Indicator Count Rate Count Rate Count Rate Count Rate
Total 37 39 37 38
Asian 35 37 34 32
Black 36 34 33 33
Hispanic 26 28 25 26
White 40 40 40 41
Total 37 39 37 38
Asian 35 37 34 32
Black 36 34 33 33
Hispanic 26 28 25 26
White 40 40 40 41
×

About This Data

  • DESCRIPTION:

    The median age of the population; the age at which half of the population in the area is older and half is younger.

  • IMPORTANCE:

    Median age is a measure of relative age of a population. There can be issues within a society that had a preponderance of older or younger people as it puts more pressure on working age adults to support those people who are typically not in the labor force.

  • LIMITATIONS:

    U.S. Census tract and blockgroup geographies changed in 2020. In an effort to align prior year data to the new geographies, The Polis Center used a weighting methodology to estimate the values for those years.

    2023 Metropolitan Statistical Areas. Beginning with 2023 ACS data, the Indianapolis MSA definition changed. Putnam County was removed and Tipton county was added. Even though the map displays the old definition, the numbers represent the new definition for data years 2023+.

    It should also be noted that the margin of error (MOE) for ACS 5-Year Average Estimate data for 2020 at the tract and blockgroup level is unusually high for some data. Caution should be used when comparing across time at those geographic levels.

    There are several challenges involved in dealing with American Community Survey data.

    • Multi-year averages. ACS data presented here is derived from 5-year averages and presents the datayear as the last year of the 5-year average. For example, when we present a datayear of "2012" for ACS data it is actually referring to the 2008-2012 5-year average.

    • Margins-of-error. ACS data are based on much smaller samples than decennial long form data and as a result margins of error are much larger.

  • ABOUT:

    The American Community Survey (ACS) is a US Census Bureau program designed to supplement the decennial census. ACS replaced long-form (SF3) census data beginning with the 2010 Census. The advantage of ACS data is that it is released annually and is therefore more up-to-date than decennial census data. Disadvantages include the fact that since the estimates are based on smaller sample sizes that decennial census data, margins-of-error must be considered when using the data.

    See the U.S. Census Bureau American Community Survey web site, http://www.census.gov/programs-surveys/acs/ , and technical documentation for each release of data for a complete discussion of assumptions concerning ACS data.

  • This data comes from:

  • American Community Survey 5-year Averages

    The American Community Survey (ACS) is a US Census Bureau program designed to supplement the decennial census. ACS replaced long-form (SF3) census data beginning with the 2010 Census. The advantage of ACS data is that it is released annually and is therefore more up-to-date than decennial census data. Disadvantages include the fact that since the estimates are based on smaller sample sizes that decennial census data, margins-of-error must be considered when using the data.

    See the U.S. Census Bureau American Community Survey web site, http://www.census.gov/programs-surveys/acs/ , and technical documentation for each release of data for a complete discussion of assumptions concerning ACS data.

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  • add Annual Auto Ownership Costs
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