Michigantown is a tiny town located in the state of Indiana. With a population of 452 people and just one neighborhood, Michigantown is the 399th largest community in Indiana. Michigantown has a large stock of pre-World War II architecture, making it one of the older and more historic towns in the country.
When you are in Michigantown, you'll notice that it is more blue-collar than most other communities in America. 48.06% of Michigantown’s employed work in blue-collar jobs, while America averages only 27.7% that do. Overall, Michigantown is a town of sales and office workers, production and manufacturing workers, and professionals. There are especially a lot of people living in Michigantown who work in office and administrative support (16.61%), teaching (6.36%), and management occupations (4.59%).
Being a small town, Michigantown does not have a public transit system used by locals to get to and from work.
In terms of college education, the citizens of Michigantown rank slightly lower than the national average. 14.09% of adults 25 and older in Michigantown have a bachelor's degree or advanced degree, while 21.84% of adults have a 4-year degree or higher in the average American community.
The per capita income in Michigantown in 2018 was $26,450, which is upper middle income relative to Indiana, and middle income relative to the rest of the US. This equates to an annual income of $105,800 for a family of four. However, Michigantown contains both very wealthy and poor people as well.
The people who call Michigantown home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Michigantown residents report their race to be White, followed by Black or African-American. Important ancestries of people in Michigantown include German, Irish, English, Dutch, and Scots-Irish.
The most common language spoken in Michigantown is English. Other important languages spoken here include Spanish and Italian.
Analytics built by: Location, Inc.
Raw data sources: National Agriculture Statistics Service, U.S. Department of Agriculture, Federal Housing Finance Agency, U.S. Department of Housing and Urban Development, U.S. Bureau of the Census, U.S. Geological Service, American Community Survey.
Methodology: NeighborhoodScout uses over 600 characteristics to build a neighborhood profile… Read more
Analytics built by: Location, Inc.
Raw data sources: American Community Survey, U.S. Bureau of the Census, U.S. Department of Education, 50 state departments of education, U.S. Bureau of Labor Statistics, Federal Bureau of Investigation, 18,000+ local law enforcement agencies, Federal Housing Finance Agency, U.S. Geological Service, National Agricultural Statistics Service.
Date(s) & Update Frequency: 2019 (latest available). Updated annually. Please note: Unemployment data updated February 2021.
Methodology: Unlike standardly available Census demographics, NeighborhoodScout uses dozens of custom models to transform 8.5 million raw demographic data elements from government sources into proprietary indices and insights…. Read more about Scout's Demographic Data
Analytics built by: Location, Inc.
Raw data sources: 18,000 local law enforcement agencies in the U.S.
Date(s) & Update Frequency: Reflects 2019 calendar year; released from FBI in Sept. 2020 (latest available). Updated annually. Where is 2020 data?
Methodology: Our nationwide meta-analysis overcomes the issues inherent in any crime database, including non-reporting and reporting errors. This is possible by associating the 9.4 million reported crimes in the U.S, including over 2 million geocoded point locations…. Read more about Scout's Crime Data
Analytics built by: Location, Inc.
Methodology: Only NeighborhoodScout gives you nationally comparable school ranks based on test scores, so you can directly compare the quality of schools in any location. Read more about Scout's School Data
School Details | Grades | Quality Rating Compared to IN* | Quality Rating Compared to Nation* |
---|---|---|---|
Clinton Central Elementary School
725 N Sr 29 Michigantown, IN 46057 |
KG-06 | ||
Clinton Central Junior-Senior High School
815 N Sr 29 Michigantown, IN 46057 |
07-12 | ||
Frankfort High School
1 S Maish Rd Frankfort, IN 46041 |
09-12 | ||
Frankfort Middle School
329 N Maish Rd Frankfort, IN 46041 |
06-08 | ||
* 10 is highest |
Ethnic/racial Groups | This District | This State |
---|---|---|
White (non-hispanic) | ||
Black | ||
Hispanic | ||
Asian Or Pacific Islander | ||
American Indian Or Native Of Alaska |
Economic Groups | This District | This State |
---|---|---|
ECONOMICALLY DISADVANTAGED | 77.1% | 48.7% |
FREE LUNCH ELIGIBLE | 67.6% | 40.8% |
REDUCED LUNCH ELIGIBLE | 9.5% | 7.9% |
Ethnic/racial Groups | This District | This State |
---|---|---|
White (non-hispanic) | ||
Black | ||
Hispanic | ||
Asian Or Pacific Islander | ||
American Indian Or Native Of Alaska |
Economic Groups | This District | This State |
---|---|---|
ECONOMICALLY DISADVANTAGED | 28.6% | 48.7% |
FREE LUNCH ELIGIBLE | 20.2% | 40.8% |
REDUCED LUNCH ELIGIBLE | 8.4% | 7.9% |
Ethnic/racial Groups | This District | This State |
---|---|---|
White (non-hispanic) | ||
Black | ||
Hispanic | ||
Asian Or Pacific Islander | ||
American Indian Or Native Of Alaska |
Economic Groups | This District | This State |
---|---|---|
ECONOMICALLY DISADVANTAGED | 43.7% | 48.7% |
FREE LUNCH ELIGIBLE | 35.3% | 40.8% |
REDUCED LUNCH ELIGIBLE | 8.4% | 7.9% |
Analytics built by: Location, Inc.
Raw data sources: U.S. Department of Education, 50 state departments of education, U.S. Bureau of Labor Statistics, Dow Jones S&P, Federal Bureau of Investigation, 18,000+ local law enforcement agencies, Federal Housing Finance Agency, U.S. Bureau of the Census, American Community Survey, U.S. Department of Housing and Urban Development, U.S. Geological Service, U.S. Department of Transportation, LEHD Origin-Destination Employment Statistics, Federal Highway Administration, National Agricultural Statistics.
Methodology: Scout Vision uniquely solves for investment risk by generating Home Price Appreciation projections with unprecedented geographic granularity and predictive accuracy, for every micro-neighborhood (block group) in the U.S. Read more
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