Demographics details for Oklahoma city, OK vs Coalinga, CA
Population Overview
Compare main population characteristics in Oklahoma city, OK vs Coalinga, CA.
Data | Oklahoma city | Coalinga |
---|---|---|
Population | 694,800 | 17,024 |
Median Age | 34.9 years | 35.0 years |
Median Income | $64,251 | $68,976 |
Married Families | 36.0% | 31.0% |
Poverty Level | 13% | 15% |
Unemployment Rate | 3.5 | 6.5 |
Population Comparison: Oklahoma city vs Coalinga
- In Oklahoma city, the population is higher at 694,800, compared to 17,024 in Coalinga.
- The median age in Coalinga is higher at 35.0 years, compared to 34.9 years in Oklahoma city.
- Coalinga has a higher median income of $68,976, compared to $64,251 in Oklahoma city.
- A higher percentage of married families is found in Oklahoma city at 36.0% compared to 31.0% in Coalinga.
- The poverty level is higher in Coalinga at 15%, compared to 13% in Oklahoma city.
- Coalinga has a higher unemployment rate at 6.5% compared to 3.5% in Oklahoma city.
Demographics
Demographics Oklahoma city vs Coalinga provide insight into the diversity of the communities to compare.
Demographic | Oklahoma city | Coalinga |
---|---|---|
Black | 13 | 4 |
White | 48 | 9 |
Asian | 4 | 2 |
Hispanic | 20 | 65 |
Two or More Races | 12 | 18 |
American Indian | 3 | 2 |
Demographics Comparison: Oklahoma city vs Coalinga
- A higher percentage of Black residents are in Oklahoma city at 13% compared to 4% in Coalinga.
- Oklahoma city has a higher percentage of White residents at 48% compared to 9% in Coalinga.
- The Asian population is larger in Oklahoma city at 4% compared to 2% in Coalinga.
- Coalinga has a higher percentage of Hispanic residents at 65%, compared to 20% in Oklahoma city.
- The percentage of residents identifying as two or more races is higher in Coalinga at 18%, compared to 12% in Oklahoma city.
- A greater percentage of American Indian residents live in Oklahoma city at 3% compared to 2% in Coalinga.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Oklahoma city | Coalinga |
---|---|---|
Mental Health Not Good | 18.1% | 16.9% |
Physical Health Not Good | 12.3% | 13.9% |
Depression | 24.8% | 16.4% |
Smoking | 18.2% | 17.2% |
Binge Drinking | 13.1% | 15.9% |
Obesity | 38.0% | 39.1% |
Disability Percentage | 12.0% | 13.0% |
Health Statistics Comparison: Oklahoma city vs Coalinga
- More residents in Oklahoma city report poor mental health at 18.1% compared to 16.9% in Coalinga.
- Depression is more prevalent in Oklahoma city at 24.8% compared to 16.4% in Coalinga.
- Smoking is more prevalent in Oklahoma city at 18.2% compared to 17.2% in Coalinga.
- More residents engage in binge drinking in Coalinga at 15.9% compared to 13.1% in Oklahoma city.
- Coalinga has higher obesity rates at 39.1% compared to 38.0% in Oklahoma city.
- There is a higher percentage of disabled individuals in Coalinga at 13.0% compared to 12.0% in Oklahoma city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Oklahoma city | Coalinga |
---|---|---|
No Schooling | 1.3% (9,023) | 3.2% (537) |
High School Diploma | 13.0% (90,670) | 13.8% (2,349) |
Less than High School | 14.0% (97,428) | 39.2% (6,672) |
Bachelor's Degree and Higher | 21.3% (148,128) | 8.1% (1,380) |
Education Levels Comparison: Oklahoma city vs Coalinga
- In Coalinga, a larger percentage of residents lack formal schooling at 3.2% compared to 1.3% in Oklahoma city.
- In Coalinga, the rate of residents with high school diplomas is higher at 13.8% compared to 13.0% in Oklahoma city.
- The percentage of residents with less than a high school education is higher in Coalinga at 39.2%, compared to 14.0% in Oklahoma city.
- A higher percentage of residents in Oklahoma city hold a bachelor's degree or higher at 21.3% compared to 8.1% in Coalinga.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.