South Wales is a very small town located in the state of New York. With a population of 3,077 people and just one neighborhood, South Wales is the 461st largest community in New York.
Unlike some towns, South Wales isn’t mainly white- or blue-collar. Instead, the most prevalent occupations for people in South Wales are a mix of both white- and blue-collar jobs. Overall, South Wales is a town of professionals, managers, and sales and office workers. There are especially a lot of people living in South Wales who work in management occupations (16.13%), sales jobs (12.96%), and office and administrative support (7.68%).
Also of interest is that South Wales has more people living here who work in computers and math than 95% of the places in the US.
Because of many things, South Wales is a very good place for families to consider. With an enviable combination of good schools, low crime, college-educated neighbors who tend to support education because of their own experiences, and a high rate of home ownership in predominantly single-family properties, South Wales really has some of the features that families look for when choosing a good community to raise children. Is South Wales perfect? Of course not, and if you like frenetic nightlife, it will be far from your cup of tea. But overall this is a solid community, with many things to recommend it as a family-friendly place to live.
The overall education level of South Wales is somewhat higher than in the average US city of 21.84%: 28.50% of adults 25 and older in the town have at least a bachelor's degree.
The per capita income in South Wales in 2018 was $37,639, which is upper middle income relative to New York, and wealthy relative to the rest of the US. This equates to an annual income of $150,556 for a family of four. However, South Wales contains both very wealthy and poor people as well.
The people who call South Wales home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of South Wales residents report their race to be White, followed by Asian. Important ancestries of people in South Wales include German, Polish, Irish, English, and Italian.
The most common language spoken in South Wales 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 NY* | Quality Rating Compared to Nation* |
---|---|---|---|
Harold O Brumsted Elementary School
173 Canada St Holland, NY 14080 |
PK-04 | ||
Holland High School
103 Canada St Holland, NY 14080 |
05-12 | ||
Iroquois Intermediate School
2111 Girdle Rd Elma, NY 14059 |
05-05 | ||
Iroquois Middle School
2111 Girdle Rd Elma, NY 14059 |
06-08 | ||
Iroquois Senior High School
2111 Girdle Rd Elma, NY 14059 |
09-12 | ||
Wales Primary School
4650 Woodchuck Rd East Aurora, NY 14052 |
KG-04 | ||
* 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 | 18.9% | 53.4% |
FREE LUNCH ELIGIBLE | 15.4% | 49.7% |
REDUCED LUNCH ELIGIBLE | 3.4% | 3.6% |
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 | 29.6% | 53.4% |
FREE LUNCH ELIGIBLE | 24.5% | 49.7% |
REDUCED LUNCH ELIGIBLE | 5.1% | 3.6% |
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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