N Santa Fe Ave / NE 36th St median real estate price is $85,086, which is less expensive than 77.1% of Oklahoma neighborhoods and 90.6% of all U.S. neighborhoods.
The average rental price in N Santa Fe Ave / NE 36th St is currently $1,029, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 40.3% of Oklahoma neighborhoods.
N Santa Fe Ave / NE 36th St is a suburban neighborhood (based on population density) located in Oklahoma City, Oklahoma.
N Santa Fe Ave / NE 36th St real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) single-family homes and apartment complexes/high-rise apartments. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the N Santa Fe Ave / NE 36th St neighborhood are older, well-established, built between 1940 and 1969. A number of residences were also built between 1970 and 1999.
Vacant apartments or homes are a major fact of life in N Santa Fe Ave / NE 36th St. The current real estate vacancy rate here is 18.3%. This is higher than the rate of vacancies in 82.3% of all U.S. neighborhoods. In addition, most vacant housing here is vacant year round. This can sometimes be the case in neighborhoods dominated by new construction that is not yet occupied. But often neighborhoods with vacancy rates this high are places that can be plagued by a protracted vacancy problem. If you live here, you may find that a number of buildings in your neighborhood are actually empty.
When you see a neighborhood for the first time, the most important thing is often the way it looks, like its homes and its setting. Some places look the same, but they only reveal their true character after living in them for a while because they contain a unique mix of occupational or cultural groups. This neighborhood is very unique in some important ways, according to NeighborhoodScout's exclusive exploration and analysis.
One of the most interesting things about the N Santa Fe Ave / NE 36th St neighborhood is that it has a greater concentration of residents who live alone than most all neighborhoods in America. With 53.8% of the households here made up of people living alone, NeighborhoodScout's research reveals that this is a larger proportion of people living alone than in 98.2% of the neighborhoods in America.
In addition, the N Santa Fe Ave / NE 36th St neighborhood stands out for having an average per capita income lower than 96.3% of the neighborhoods in the United States.
Also, n Santa Fe Ave / NE 36th St is ranked among the top 6.4% of neighborhoods for first-time home buyers to consider in the state of Oklahoma according to NeighborhoodScout's exclusive analysis. Homes here are priced below median housing values in the state, yet maintain moderate appreciation rates compared to other communities. Buying into the N Santa Fe Ave / NE 36th St neighborhood is not only an accessible option but an investment opportunity for many first-time home buyers.
Did you know that the N Santa Fe Ave / NE 36th St neighborhood has more African and Sub-Saharan African ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 17.2% of this neighborhood's residents have African ancestry and 17.2% have Sub-Saharan African ancestry.
How wealthy a neighborhood is, from very wealthy, to middle income, to low income is very formative with regard to the personality and character of a neighborhood. Equally important is the rate of people, particularly children, who live below the federal poverty line. In some wealthy gated communities, the areas immediately surrounding can have high rates of childhood poverty, which indicates other social issues. NeighborhoodScout's analysis reveals both aspects of income and poverty for this neighborhood.
The neighbors in the N Santa Fe Ave / NE 36th St neighborhood in Oklahoma City are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 96.3% of U.S. neighborhoods. In addition, 11.2% of the children seventeen and under living in this neighborhood are living below the federal poverty line, which is a lower rate of childhood poverty than is found in 56.8% of America's neighborhoods.
What we choose to do for a living reflects who we are. Each neighborhood has a different mix of occupations represented, and together these tell you about the neighborhood and help you understand if this neighborhood may fit your lifestyle.
In the N Santa Fe Ave / NE 36th St neighborhood, 30.3% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is clerical, assistant, and tech support occupations, with 26.4% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (21.7%), and 21.7% in sales and service jobs, from major sales accounts, to working in fast food restaurants.
The most common language spoken in the N Santa Fe Ave / NE 36th St neighborhood is English, spoken by 94.3% of households. Some people also speak Spanish (4.0%).
Culture is shared learned behavior. We learn it from our parents, their parents, our houses of worship, and much of our culture – our learned behavior – comes from our ancestors. That is why ancestry and ethnicity can be so interesting and important to understand: places with concentrations of people of one or more ancestries often express those shared learned behaviors and this gives each neighborhood its own culture. Even different neighborhoods in the same city can have drastically different cultures.
In the N Santa Fe Ave / NE 36th St neighborhood in Oklahoma City, OK, residents most commonly identify their ethnicity or ancestry as Sub-Saharan African (17.2%). There are also a number of people of African ancestry (17.2%), and residents who report Mexican roots (4.4%), and some of the residents are also of Irish ancestry (4.1%), along with some German ancestry residents (3.4%), among others.
How you get to work – car, bus, train or other means – and how much of your day it takes to do so is a large quality of life and financial issue. Especially with gasoline prices rising and expected to continue doing so, the length and means of one's commute can be a financial burden. Some neighborhoods are physically located so that many residents have to drive in their own car, others are set up so many walk to work, or can take a train, bus, or bike. The greatest number of commuters in N Santa Fe Ave / NE 36th St neighborhood spend between 15 and 30 minutes commuting one-way to work (48.1% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (88.1%) drive alone in a private automobile to get to work. In addition, quite a number also carpool with coworkers, friends, or neighbors to get to work (5.2%) . In a neighborhood like this, as in most of the nation, many residents find owning a car useful for getting to work.
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* |
---|---|---|---|
Douglass High School
900 N Martin Luther King Ave Oklahoma City, OK 73117 |
09-12 | ||
Douglass Middle School
900 N Martin Luther King Ave Oklahoma City, OK 73117 |
07-08 | ||
Edgemere Elementary School
3200 North Walker Avenue Oklahoma City, OK 73118 |
PK-06 | ||
M.l. King Jr. Elementary School
1201 Northeast 48th Street Oklahoma City, OK 73111 |
PK-06 | ||
* 10 is highest |
GET FULL REPORTS FOR ANY SCHOOL IN THIS DISTRICT
SEE ALL SCHOOLSAnalytics 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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