Manteo is a very small coastal town (i.e. on the ocean, a bay, or inlet) located in the state of North Carolina. With a population of 1,600 people and just one neighborhood, Manteo is the 336th largest community in North Carolina.
Manteo real estate is some of the most expensive in North Carolina, although Manteo house values don't compare to the most expensive real estate in the U.S.
Unlike some towns, Manteo isn’t mainly white- or blue-collar. Instead, the most prevalent occupations for people in Manteo are a mix of both white- and blue-collar jobs. Overall, Manteo is a town of professionals, sales and office workers, and managers. There are especially a lot of people living in Manteo who work in sales jobs (15.11%), management occupations (9.92%), and office and administrative support (9.79%).
Another notable thing is that Manteo is an extremely popular destination for tourists and seasonal residents. So much of the population is seasonal such that the town’s population swells significantly during the vacation season, and drops again when the season ends. Because of this, much of the local economy is centered around tourism; some businesses may be operated only during the high season. During the low season, year-round residents will notice that the city is a substantially quieter place to live.
Manteo is also nautical, which means that parts of it are somewhat historic and touch the ocean or tidal bodies of water, such as inlets and bays. Such areas are often places that visitors and locals go for waterfront activities or taking in the scenery.
Manteo is a small town, and as such doesn't have a public transit system that people use to get to and from their jobs every day.
The citizens of Manteo are among the most well-educated in the nation: 44.70% of adults in Manteo have a bachelor's degree or even advanced degree, whereas the average US city has 21.84% holding at least a bachelor's degree.
The per capita income in Manteo in 2018 was $38,461, which is wealthy relative to North Carolina and the nation. This equates to an annual income of $153,844 for a family of four. However, Manteo contains both very wealthy and poor people as well.
Manteo is a very ethnically-diverse town. The people who call Manteo home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Manteo residents report their race to be White, followed by Black or African-American. Important ancestries of people in Manteo include English, Irish, German, Italian, and Scots-Irish.
The most common language spoken in Manteo 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: 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* |
---|---|---|---|
Manteo Elementary School
701 N Hwy 64/264 Manteo, NC 27954 |
PK-05 | ||
Manteo High School
829 Wingina Avenue Manteo, NC 27954 |
09-12 | ||
Dare Learning Academy School
132 Russell Twiford Road Manteo, NC 27954 |
09-12 | ||
Manteo Middle School
1000 N Hwy 64 Manteo, NC 27954 |
06-08 | ||
* 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 | 31.7% | 54.9% |
FREE LUNCH ELIGIBLE | 25.0% | 50.8% |
REDUCED LUNCH ELIGIBLE | 6.8% | 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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