Mather is a tiny town located in the state of Pennsylvania. With a population of 659 people and just one neighborhood, Mather is the 930th largest community in Pennsylvania. Mather has an unusually large stock of pre-World War II architecture, making it one of the older and more historic towns.
Mather is neither predominantly blue-collar nor white-collar, instead having a mixed workforce of both blue-collar and white-collar jobs. Overall, Mather is a town of professionals, sales and office workers, and transportation and shipping workers. There are especially a lot of people living in Mather who work in office and administrative support (14.29%), healthcare (10.14%), and sales jobs (6.45%).
One downside of living in Mather is that it can take a long time to commute to work. In Mather, the average commute to work is 32.80 minutes, which is quite a bit higher than the national average. However, it is a pedestrian-friendly town. Many of Mather’s neighborhoods are dense enough and have amenities close enough together that people find it feasible to get around on foot.
As is often the case in a small town, Mather doesn't have a public transportation system that people use for their commute.
In Mather, just 10.97% of people have at least a bachelor's degree, which is quite a bit lower than the national average for cities and towns of 21.84%.
The per capita income in Mather in 2018 was $31,305, which is upper middle income relative to Pennsylvania and the nation. This equates to an annual income of $125,220 for a family of four. However, Mather contains both very wealthy and poor people as well.
The people who call Mather home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Mather residents report their race to be White. Important ancestries of people in Mather include English, German, Irish, Dutch, and Polish.
The most common language spoken in Mather is English. Other important languages spoken here include Polish and German/Yiddish.
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: 2020 (latest available). Updated annually. Please note: Unemployment data updated November 2022.
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 2021 calendar year; released from FBI in Oct. 2022 (latest available). Updated annually. Where is 2022 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 PA* | Quality Rating Compared to Nation* |
---|---|---|---|
Waynesburg Central Elementary School
90 Zimmerman Dr Waynesburg, PA 15370 |
KG-06 | ||
Waynesburg Central High School
30 Zimmerman Dr Waynesburg, PA 15370 |
09-12 | ||
Miller Middle School
126 E Lincoln St Waynesburg, PA 15370 |
07-08 | ||
Jefferson-Morgan Ms/hs School
1351 Jefferson Rd Jefferson, PA 15344 |
07-12 | ||
Jefferson-Morgan Elementary School
1363 Jefferson Rd Jefferson, PA 15344 |
PK-06 | ||
West Greene Junior And Senior High School
1352 Hargus Creek Rd Waynesburg, PA 15370 |
07-12 | ||
* 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 | 43.0% | 51.0% |
FREE LUNCH ELIGIBLE | 39.9% | 48.9% |
REDUCED LUNCH ELIGIBLE | 3.1% | 2.1% |
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 | 47.3% | 51.0% |
FREE LUNCH ELIGIBLE | 42.9% | 48.9% |
REDUCED LUNCH ELIGIBLE | 4.4% | 2.1% |
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 | 37.2% | 51.0% |
FREE LUNCH ELIGIBLE | 36.9% | 48.9% |
REDUCED LUNCH ELIGIBLE | 0.3% | 2.1% |
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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