York Haven is a tiny borough located in the state of Pennsylvania. With a population of 693 people and just one neighborhood, York Haven is the 872nd largest community in Pennsylvania. York Haven has an unusually large stock of pre-World War II architecture, making it one of the older and more historic boroughs.
Because occupations involving physical labor dominate the local economy, York Haven is generally considered to be a blue-collar town. 45.07% of the York Haven workforce is employed in blue-collar occupations, compared to the national average of 27.7%. Overall, York Haven is a borough of service providers, transportation and shipping workers, and sales and office workers. There are especially a lot of people living in York Haven who work in food service (18.03%), office and administrative support (11.55%), and maintenance occupations (4.79%).
As is often the case in a small borough, York Haven doesn't have a public transportation system that people use for their commute.
In York Haven, just 7.57% 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 York Haven in 2018 was $18,875, which is low income relative to Pennsylvania and the nation. This equates to an annual income of $75,500 for a family of four. However, York Haven contains both very wealthy and poor people as well.
York Haven is a somewhat ethnically-diverse borough. The people who call York Haven home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of York Haven residents report their race to be White, followed by Black or African-American. York Haven also has a sizeable Hispanic population (people of Hispanic origin can be of any race). People of Hispanic or Latino origin account for 13.97% of the borough’s residents. Important ancestries of people in York Haven include German, Irish, Italian, English, and Dutch.
The most common language spoken in York Haven 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: 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* |
---|---|---|---|
Crossroads Middle School
535 Fishing Creek Rd Lewisberry, PA 17339 |
06-08 | ||
Northeastern Middle School
4855 Board Road Mount Wolf, PA 17347 |
07-08 | ||
Northeastern High School
300 High St Manchester, PA 17345 |
09-12 | ||
Red Land High School
560 Fishing Creek Rd Lewisberry, PA 17339 |
09-12 | ||
Red Mill Elementary School
700 Red Mill Rd Etters, PA 17319 |
KG-05 | ||
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 |
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 | 35.0% | 50.6% |
FREE LUNCH ELIGIBLE | 30.1% | 47.8% |
REDUCED LUNCH ELIGIBLE | 4.9% | 2.8% |
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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