Cache is a very small city located in the state of Oklahoma. With a population of 2,993 people and just one neighborhood, Cache is the 133rd largest community in Oklahoma.
Unlike some cities, Cache isn’t mainly white- or blue-collar. Instead, the most prevalent occupations for people in Cache are a mix of both white- and blue-collar jobs. Overall, Cache is a city of professionals, sales and office workers, and managers. There are especially a lot of people living in Cache who work in office and administrative support (14.38%), management occupations (12.69%), and teaching (11.16%).
There are many members of the armed forces living in Cache. You will notice when you visit or live here that some of the people you meet or see around town are employed by the armed services - even if they are not always in uniform.
Being a small city, Cache does not have a public transit system used by locals to get to and from work.
The percentage of adults in Cache who are college-educated is close to the national average for all communities of 21.84%: 20.48% of the adults in Cache have a bachelor's degree or advanced degree.
The per capita income in Cache in 2018 was $26,331, which is upper middle income relative to Oklahoma, and middle income relative to the rest of the US. This equates to an annual income of $105,324 for a family of four. However, Cache contains both very wealthy and poor people as well.
Cache is an extremely ethnically-diverse city. The people who call Cache home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Cache residents report their race to be White, followed by Native American. Cache also has a sizeable Hispanic population (people of Hispanic origin can be of any race). People of Hispanic or Latino origin account for 14.18% of the city’s residents. Important ancestries of people in Cache include Irish, German, English, European, and Italian.
The most common language spoken in Cache is English. Other important languages spoken here include Spanish and German/Yiddish.
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 November 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 2021 calendar year; released from FBI in Oct. 2022 (latest available). Updated annually. Where is 2022 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* |
---|---|---|---|
Cache Elementary School
310 Sw H Ave Cache, OK 73527 |
PK-04 | ||
Cache Middle School
302 Sw H Ave Cache, OK 73527 |
05-08 | ||
Cache High School
102 Sw H Ave Cache, OK 73527 |
09-12 | ||
Chattanooga Elementary School
403 3rd Street Chattanooga, OK 73528 |
PK-08 | ||
Chattanooga High School
507 4th Street Chattanooga, OK 73528 |
09-12 | ||
Indiahoma Elementary School
307 Chebahtah Indiahoma, OK 73552 |
PK-08 | ||
Indiahoma High School
307 Chebahtah Indiahoma, OK 73552 |
09-12 | ||
* 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 | UNREPORTED | 0.1% |
FREE LUNCH ELIGIBLE | UNREPORTED | 0.1% |
REDUCED LUNCH ELIGIBLE | UNREPORTED | 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 | UNREPORTED | 0.1% |
FREE LUNCH ELIGIBLE | UNREPORTED | 0.1% |
REDUCED LUNCH ELIGIBLE | UNREPORTED | 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 | UNREPORTED | 0.1% |
FREE LUNCH ELIGIBLE | UNREPORTED | 0.1% |
REDUCED LUNCH ELIGIBLE | UNREPORTED | 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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