Manchester is a very small borough located in the state of Pennsylvania. With a population of 2,740 people and just one neighborhood, Manchester is the 491st largest community in Pennsylvania.
Because occupations involving physical labor dominate the local economy, Manchester is generally considered to be a blue-collar town. 37.93% of the Manchester workforce is employed in blue-collar occupations, compared to the national average of 27.7%. Overall, Manchester is a borough of service providers, sales and office workers, and professionals. There are especially a lot of people living in Manchester who work in sales jobs (15.07%), maintenance occupations (8.37%), and computer science and math (6.58%).
Also of interest is that Manchester has more people living here who work in computers and math than 95% of the places in the US.
As is often the case in a small borough, Manchester doesn't have a public transportation system that people use for their commute.
In Manchester, just 9.97% of people over 25 hold a college degree, which is very low compared to the rest of the nation, whereas the average among all cities is 21.84%.
The per capita income in Manchester in 2018 was $31,267, which is upper middle income relative to Pennsylvania and the nation. This equates to an annual income of $125,068 for a family of four. However, Manchester contains both very wealthy and poor people as well.
Manchester is a somewhat ethnically-diverse borough. The people who call Manchester home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Manchester residents report their race to be White, followed by Black or African-American. Manchester also has a sizeable Hispanic population (people of Hispanic origin can be of any race). People of Hispanic or Latino origin account for 13.50% of the borough’s residents. Important ancestries of people in Manchester include German, Irish, Italian, English, and British.
The most common language spoken in Manchester is English. Other important languages spoken here include Italian and Spanish.
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 PA* | Quality Rating Compared to Nation* |
---|---|---|---|
Conewago Elementary School
570 Copenhaffer Rd York, PA 17404 |
KG-03 | ||
Mt Wolf Elementary School
590 Maple Street Mt Wolf, PA 17347 |
KG-03 | ||
Northeastern Middle School
4855 Board Road Mount Wolf, PA 17347 |
07-08 | ||
Northeastern High School
300 High St Manchester, PA 17345 |
09-12 | ||
Orendorf Elementary School
101 South Hartman Street Manchester, PA 17345 |
KG-03 | ||
Shallow Brook Inter School
213 S Hartman St Manchester, PA 17345 |
04-06 | ||
Spring Forge Intrd School
100 South Hartman Street Manchester, PA 17345 |
04-06 | ||
York Haven Elementary School
360 Cassel Rd York Haven, PA 17370 |
KG-03 | ||
* 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 | 36.6% | 50.6% |
FREE LUNCH ELIGIBLE | 32.4% | 47.8% |
REDUCED LUNCH ELIGIBLE | 4.3% | 2.8% |
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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