Maud is a very small city located in the state of Oklahoma. With a population of 1,061 people and just one neighborhood, Maud is the 214th largest community in Oklahoma.
Unlike some cities where white-collar or blue-collar occupations dominate the local economy, Maud is neither predominantly one nor the other. Instead, it has a mixed workforce of both white- and blue-collar jobs. Overall, Maud is a city of sales and office workers, professionals, and service providers. There are especially a lot of people living in Maud who work in office and administrative support (13.30%), sales jobs (11.16%), and management occupations (7.60%).
One downside of living in Maud is that it can take a long time to commute to work. In Maud, the average commute to work is 30.85 minutes, which is quite a bit higher than the national average.
Being a small city, Maud does not have a public transit system used by locals to get to and from work.
The percentage of adults in Maud with college degrees is slightly lower than the national average of 21.84% for all communities. 13.36% of adults in Maud have a bachelor's degree or advanced degree.
The per capita income in Maud in 2018 was $17,833, which is lower middle income relative to Oklahoma, and low income relative to the rest of the US. This equates to an annual income of $71,332 for a family of four. However, Maud contains both very wealthy and poor people as well.
Maud is a very ethnically-diverse city. The people who call Maud home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Maud residents report their race to be White, followed by Native American. Important ancestries of people in Maud include English, Irish, German, Dutch West Indian, and European.
The most common language spoken in Maud is English. Other important languages spoken here include Native American languages 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 OK* | Quality Rating Compared to Nation* |
---|---|---|---|
Maud Elementary School
310 West Young Street Maud, OK 74854 |
PK-08 | ||
* 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 | 0.0% | |
FREE LUNCH ELIGIBLE | 0.1% | |
REDUCED LUNCH ELIGIBLE | 0.0% |
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 | 0.0% | |
FREE LUNCH ELIGIBLE | 0.1% | |
REDUCED LUNCH ELIGIBLE | 0.0% |
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 | 0.0% | |
FREE LUNCH ELIGIBLE | 0.1% | |
REDUCED LUNCH ELIGIBLE | 0.0% |
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 | 0.0% | |
FREE LUNCH ELIGIBLE | 0.1% | |
REDUCED LUNCH ELIGIBLE | 0.0% |
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 | 0.0% | |
FREE LUNCH ELIGIBLE | 0.1% | |
REDUCED LUNCH ELIGIBLE | 0.0% |
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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