Montgomery is a tiny town located in the state of Indiana. With a population of 759 people and just one neighborhood, Montgomery is the 414th largest community in Indiana.
Montgomery real estate is some of the most expensive in Indiana, although Montgomery house values don't compare to the most expensive real estate in the U.S.
Montgomery is neither predominantly blue-collar nor white-collar, instead having a mixed workforce of both blue-collar and white-collar jobs. Overall, Montgomery is a town of sales and office workers, service providers, and construction workers and builders. There are especially a lot of people living in Montgomery who work in office and administrative support (15.92%), sales jobs (11.02%), and maintenance occupations (6.12%).
Also of interest is that Montgomery has more people living here who work in computers and math than 95% of the places in the US.
Montgomery’s overall crime rate ranks among the lowest in the nation, making it a very safe place to live.
Montgomery is a small town, and as such doesn't have a public transit system that people use to get to and from their jobs every day.
In terms of college education, the citizens of Montgomery rank slightly lower than the national average. 15.84% of adults 25 and older in Montgomery 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 Montgomery in 2018 was $24,066, which is middle income relative to Indiana, and lower middle income relative to the rest of the US. This equates to an annual income of $96,264 for a family of four. However, Montgomery contains both very wealthy and poor people as well.
The people who call Montgomery home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Montgomery residents report their race to be White. Important ancestries of people in Montgomery include German, Irish, French, English, and Swiss.
The most common language spoken in Montgomery is English. Other important languages spoken here include German/Yiddish 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: 2018 (latest available). Updated annually. Please note: Unemployment data updated November 2020.
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* |
---|---|---|---|
Barr Reeve Elementary School
627 N 3rd St Montgomery, IN 47558 |
02-05 | ||
Barr Reeve Middle/high School
627 N 3rd St Montgomery, IN 47558 |
06-12 | ||
Barr Reeve Primary Grade School
298 N 3rd St Montgomery, IN 47558 |
KG-01 | ||
North Daviess Elementary School
5498 E Sr 58 Elnora, IN 47529 |
KG-06 | ||
North Daviess Jr-Sr High School
5494 E Sr 58 Elnora, IN 47529 |
07-12 | ||
Veale Elementary School
326 E 450 S Washington, IN 47501 |
KG-06 | ||
Washington High School
608 E Walnut St Washington, IN 47501 |
09-12 | ||
Washington Junior High School
210 Ne 6th St Washington, IN 47501 |
07-08 | ||
* 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 | 66.8% | 48.7% |
FREE LUNCH ELIGIBLE | 58.3% | 40.8% |
REDUCED LUNCH ELIGIBLE | 8.5% | 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 | 45.0% | 48.7% |
FREE LUNCH ELIGIBLE | 32.5% | 40.8% |
REDUCED LUNCH ELIGIBLE | 12.4% | 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 | 30.3% | 48.7% |
FREE LUNCH ELIGIBLE | 20.7% | 40.8% |
REDUCED LUNCH ELIGIBLE | 9.5% | 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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