Saxapahaw is a very small town located in the state of North Carolina. With a population of 1,671 people and just one neighborhood, Saxapahaw is the 327th largest community in North Carolina.
Saxapahaw is neither predominantly blue-collar nor white-collar, instead having a mixed workforce of both blue-collar and white-collar jobs. Overall, Saxapahaw is a town of professionals, sales and office workers, and service providers. There are especially a lot of people living in Saxapahaw who work in office and administrative support (16.30%), healthcare (12.86%), and maintenance occupations (10.33%).
Of important note, Saxapahaw is also a town of artists. Saxapahaw has more artists, designers and people working in media than 90% of the communities in America. This concentration of artists helps shape Saxapahaw’s character.
Telecommuters are a relatively large percentage of the workforce: 7.97% of people work from home. While this number may seem small overall, as a fraction of the total workforce it is high relative to the nation. These workers are often telecommuters who work in knowledge-based, white-collar professions. For example, Silicon Valley has large numbers of people who telecommute. Other at-home workers may be self-employed people who operate small businesses out of their homes.
One downside of living in Saxapahaw is that it can take a long time to commute to work. In Saxapahaw, the average commute to work is 30.21 minutes, which is quite a bit higher than the national average.
Being a small town, Saxapahaw does not have a public transit system used by locals to get to and from work.
The percentage of adults in Saxapahaw who are college-educated is close to the national average for all communities of 21.84%: 20.79% of the adults in Saxapahaw have a bachelor's degree or advanced degree.
The per capita income in Saxapahaw in 2018 was $23,774, which is middle income relative to North Carolina, and lower middle income relative to the rest of the US. This equates to an annual income of $95,096 for a family of four. However, Saxapahaw contains both very wealthy and poor people as well.
Saxapahaw is a very ethnically-diverse town. The people who call Saxapahaw home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Saxapahaw residents report their race to be White, followed by Black or African-American. Saxapahaw also has a sizeable Hispanic population (people of Hispanic origin can be of any race). People of Hispanic or Latino origin account for 18.13% of the town’s residents. Important ancestries of people in Saxapahaw include English, European, Irish, German, and Scots-Irish.
The most common language spoken in Saxapahaw 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: 2020 (latest available). Updated annually. Please note: Unemployment data updated February 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 2020 calendar year; released from FBI in Sept. 2021 (latest available). Updated annually. Where is 2021 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 NC* | Quality Rating Compared to Nation* |
---|---|---|---|
Abss Early College At Acc School
1247 Jimmie Kerr Road Graham, NC 27253 |
09-13 | ||
The Hawbridge School
1735 Saxapahaw Bethlehem Churc Saxapahaw, NC 27340 |
04-12 | ||
* 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% | 54.9% |
FREE LUNCH ELIGIBLE | 46.4% | 50.8% |
REDUCED LUNCH ELIGIBLE | 1.2% | 4.1% |
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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