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\r\n \r\n ![\"chart](\"images/composite_chart_tract_5302.png\")
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\r\n Southeast Michigan Equity Emphasis Areas Application
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\r\n About
\r\nSoutheast Michigan is home to a diverse population with residents of all ages and abilities, who\r\n represent various races and ethnicities, and who speak a number of languages. This diversity makes our\r\n region strong, with thousands of neighborhoods, each geographically, demographically, and economically\r\n unique. Living in these neighborhoods presents both challenges and opportunities. SEMCOG’s Equity Emphasis\r\n Areas tool is an interactive application that provides a detailed summary of key demographic variables at\r\n different geographies (regional, county, community, and census tract) across the seven-county region. The\r\n tool provides one location where communities, partner organizations, and residents can learn about our\r\n current socioeconomic indicators and have a data-driven understanding of community needs to assist in\r\n effective planning.
\r\n\r\n For example, with the help of this tool, a county or community’s senior services department can partner with\r\n developers to develop accessible and affordable housing projects for seniors with disabilities. Selecting\r\n “older adults’ and “disability” tiles together, stakeholders can identify areas with highest\r\n concentrations of seniors with disabilities. Based on this knowledge, community officials can entice\r\n developers to build affordable and accessible senior housing units.\r\n
\r\nMethodology
\r\n\r\n ![\"histogram\"](\"images/equity_histogram.png\")
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\r\n SEMCOG’s Equity Emphasis Areas analysis uses a score based analysis to depict and symbolize the\r\n concentrations of various vulnerable groups in the region.
\r\nThe score calculation is determined by standard deviations relative to a criteria's regional average.\r\n Standard deviation measures the dispersion of a dataset relative to its mean. This standard deviation\r\n based score classifies the concentration of the equity populations in relation to the region’s mean for\r\n every community and census tract in the region.
\r\nThe data for each of the criteria in the equity emphasis areas analysis are split into five \"bins\"\r\n based on the relative concentration across the region, ranging from 0 (low concentration) to 4 (high\r\n concentration). Bin 2 for each indicator contains the community or the census tracts at or near (within\r\n a half standard deviation from) the regional average (mean) for that indicator. Bins 4, 3, 1, and 0 are\r\n then built out from the regional average; Bins 1 and 3 go one full standard deviation out from bin 2,\r\n and bins 0 and 4 contain any remaining tracts further out from 1 or 3, respectively.
\r\n\r\n When combining multiple indicators, the scores for all the selected indicators are averaged to obtain\r\n the final composite score.
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\r\n SEMCOG’s Equity Emphasis Areas analysis uses a score based analysis to depict and symbolize the\r\n concentrations of various vulnerable groups in the region.
\r\nThe score calculation based on Standard Deviation measures the dispersion of an indicator relative to\r\n the regional average. This standard deviation based score classifies the concentration of the equity\r\n populations in relation to the region’s mean for every community and census tract in the region.
\r\nThe data for each of the criteria in the equity emphasis areas analysis are split into five \"bins\"\r\n based on the relative concentration across the region, ranging from 0 (low concentration) to 4 (high\r\n concentration). Bin 2 for each indicator contains the community or the census tracts at or near (within\r\n a half standard deviation from) the regional average (mean) for that indicator. Bins 4, 3, 1, and 0 are\r\n then built out from the regional average; Bins 1 and 3 go one full standard deviation out from bin 2,\r\n and bins 0 and 4 contain any remaining tracts further out from 1 or 3, respectively.
\r\n\r\n Standard deviation reflects the amount of variability in a given dataset and is useful in identifying\r\n extreme values.
\r\nThe composite score is calculated by averaging the scores of the selected indicators.
\r\nComposite Chart
\r\nIf more than one dataset is selected, a composite radar chart is shown at the top of the page. This chart\r\n shows all of the selected dataset values for the selected geography. The scores are plotted on the chart\r\n according to their value. For example, if a dataset has a score value of 0 it will be at the center of the\r\n chart and if it has a score of 4 it will be on the edge of the chart. The dashed line shows the averaged\r\n composite score. You can use the individual score values and the composite score to see which datasets are\r\n driving the composite score for that geography. Hover over the color labels to see the percentage for\r\n the dataset, and use the legend to toggle the lines on or off. See the example below:
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Modified Census Variable Definitions
\r\nDisability: Disability includes persons with any of the following disabilities –\r\n hearing, vision, cognitive, ambulatory, self-care, or independent living difficulty.
\r\nDisengaged Youth: Population aged 16 to 19 years who are not enrolled in school, not\r\n employed and/or not in the labor force.
\r\nFemale Headed Households: A female maintaining a household with no husband of the\r\n householder present.
\r\nForeign Born: Foreign born refers to people who are not U.S. citizens at birth. This\r\n includes naturalized U.S. citizens, lawful permanent residents (immigrants), temporary migrants (such as\r\n foreign students), humanitarian migrants (such as refugees and asylees), and persons illegally present in\r\n the United States.
\r\nHispanic: Refers to a person of Cuban, Mexican, Puerto Rican, South or Central American,\r\n or other Spanish culture or origin regardless of race.
\r\nHouseholds in Poverty: If a household’s total income is less than the federal poverty\r\n threshold, then that household and every individual in it is considered in poverty.
\r\nHousing Cost Burden: HUD defines cost-burdened households as those “who pay more than 30\r\n percent of their income for housing” and “may have difficulty affording necessities such as food,\r\n clothing, transportation, and medical care.”
\r\nLimited English Proficiency: A \"limited English speaking household\" is one in which no\r\n member 14 years old and over (1) speaks only English or (2) speaks a non-English language and speaks\r\n English \"very well.\" In other words, all members 14 years old and over have at least some difficulty with\r\n English.
\r\nMinority: Includes people that are of “Black or African American,” “American Indian or\r\n Alaska Native,” “Asian,” and “Native Hawaiian or Other Pacific Islander” race categories. Persons\r\n reporting as multiracial, mixed, interracial, or a Hispanic, Latino, or Spanish group are also included in\r\n this category. Any person who is not a “Non-Hispanic White” is considered as a Minority.
\r\nNo Car Households: Households with no vehicles. These households are also transit\r\n dependent.
\r\nNon-Hispanic Asian: Includes people having origins in any of the following - Far East,\r\n Southeast Asia, or the Indian subcontinent and did not report being of Hispanic origin.
\r\nNon-Hispanic Black: Includes people who reported Black and no other race group and did\r\n not report being of Hispanic origin.
\r\nOlder Adults: Population aged 65 years or older.
\r\nOther Non-White Non-Hispanic Races: Includes all other races not included in the\r\n “Non-Hispanic\r\n White,” “Non-Hispanic Black or African American,” and “Non-Hispanic Asian”. People belonging to any\r\n Hispanic ethnicity or origin are also not included in this category.
\r\nPersons in Poverty: Census Bureau’s poverty status is determined for all persons except\r\n institutionalized persons, persons in military group quarters and in college dormitories, and unrelated\r\n individuals under 15 years old.
\r\nTransit Dependent Households: Households with no vehicle or number of vehicles less than\r\n the number of workers in the household.
\r\nYouth: Population aged 0 to 17 years.
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\r\n Project Presets
\r\nThe Project Preset dropdown is a shortcut to view different combinations of indicators. The preset is meant to serve\r\n as a way to view the types of data that are associated with that particular group. For the Environmental Justice preset,\r\n the four indicators do not match exactly to what is defined in the Environmental Justice report, but give the user a way to\r\n see the same type of indicators for the geography of their choice.\r\n
\r\nSources
\r\n \r\nQuestions?
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- For questions about this application: Chad Misiuk\r\n \r\n
- For questions about the data: Sirisha Uppalapati\r\n \r\n
![\"\"](\"images/region.svg\")
Community Profile\r\n