Pierceton is a very small town located in the state of Indiana. With a population of 1,021 people and just one neighborhood, Pierceton is the 307th largest community in Indiana. Pierceton has an unusually large stock of pre-World War II architecture, making it one of the older and more historic towns.
Pierceton is a blue-collar town, with 40.93% of people working in blue-collar occupations, while the average in America is just 27.7%. Overall, Pierceton is a town of production and manufacturing workers, sales and office workers, and professionals. There are especially a lot of people living in Pierceton who work in office and administrative support (11.16%), management occupations (10.00%), and sales jobs (6.74%).
Residents will find that the town is relatively quiet. This is because it is not over-populated, and it has fewer college students, renters, and young children - all of whom can be noisy at times. So, if you're looking for a relatively peaceful place to live, Pierceton is worth considering.
Being a small town, Pierceton does not have a public transit system used by locals to get to and from work.
In terms of college education, Pierceton is nearly on par with the US average for all cities of 21.84%: 17.05% of adults 25 and older in Pierceton have a bachelor's degree or advanced degree.
The per capita income in Pierceton in 2018 was $23,710, 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 $94,840 for a family of four. However, Pierceton contains both very wealthy and poor people as well.
The people who call Pierceton home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Pierceton residents report their race to be White, followed by Asian. Important ancestries of people in Pierceton include German, Irish, English, Italian, and French.
The most common language spoken in Pierceton is English. Other important languages spoken here include Spanish and Langs. of India.
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* |
---|---|---|---|
Edgewood Middle School
900 S Union Warsaw, IN 46580 |
07-08 | ||
Eisenhower Elementary School
1900 S County Farm Rd Warsaw, IN 46580 |
KG-06 | ||
Harrison Elementary School
1300 Husky Trl Warsaw, IN 46582 |
KG-06 | ||
Jefferson Elementary School
1 Jefferson Dr Winona Lake, IN 46590 |
PK-06 | ||
Lakeview Middle School
848 E Smith St Warsaw, IN 46580 |
07-08 | ||
North Webster Elementary School
5745 N 750 E North Webster, IN 46555 |
KG-05 | ||
Pierceton Elementary School
434 S First St Pierceton, IN 46562 |
PK-06 | ||
Warsaw Community High School
1 Tiger Ln Warsaw, IN 46580 |
09-12 | ||
Wawasee High School
1 Warrior Path Bldg 1 Syracuse, IN 46567 |
09-12 | ||
Wawasee Middle School
9850 N Sr 13 Syracuse, IN 46567 |
06-08 | ||
* 10 is highest |
GET FULL REPORTS FOR ANY SCHOOL IN THIS DISTRICT
SEE ALL SCHOOLSEthnic/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 | 47.6% | 48.7% |
FREE LUNCH ELIGIBLE | 37.9% | 40.8% |
REDUCED LUNCH ELIGIBLE | 9.7% | 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 | 43.4% | 48.7% |
FREE LUNCH ELIGIBLE | 32.4% | 40.8% |
REDUCED LUNCH ELIGIBLE | 11.0% | 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 | 44.3% | 48.7% |
FREE LUNCH ELIGIBLE | 35.1% | 40.8% |
REDUCED LUNCH ELIGIBLE | 9.2% | 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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