Demographics details for Coalinga, CA vs North olmsted, OH
Population Overview
Compare main population characteristics in Coalinga, CA vs North olmsted, OH.
Data | Coalinga | North olmsted |
---|---|---|
Population | 17,024 | 31,724 |
Median Age | 35.0 years | 44.0 years |
Median Income | $68,976 | $81,768 |
Married Families | 31.0% | 45.0% |
Poverty Level | 15% | 5% |
Unemployment Rate | 6.5 | 4.1 |
Population Comparison: Coalinga vs North olmsted
- The population in North olmsted is higher at 31,724, compared to 17,024 in Coalinga.
- The median age in North olmsted is higher at 44.0 years, compared to 35.0 years in Coalinga.
- North olmsted has a higher median income of $81,768, compared to $68,976 in Coalinga.
- In North olmsted, the percentage of married families is higher at 45.0%, compared to 31.0% in Coalinga.
- Coalinga has a higher poverty level at 15% compared to 5% in North olmsted.
- The unemployment rate in Coalinga is higher at 6.5%, compared to 4.1% in North olmsted.
Demographics
Demographics Coalinga vs North olmsted provide insight into the diversity of the communities to compare.
Demographic | Coalinga | North olmsted |
---|---|---|
Black | 4 | 3 |
White | 9 | 81 |
Asian | 2 | 3 |
Hispanic | 65 | 7 |
Two or More Races | 18 | 6 |
American Indian | 2 | Data is updating |
Demographics Comparison: Coalinga vs North olmsted
- A higher percentage of Black residents are in Coalinga at 4% compared to 3% in North olmsted.
- The percentage of White residents is higher in North olmsted at 81% compared to 9% in Coalinga.
- In North olmsted, the Asian population stands at 3%, greater than 2% in Coalinga.
- The Hispanic community is larger in Coalinga at 65% compared to 7% in North olmsted.
- More residents identify as two or more races in Coalinga at 18% compared to 6% in North olmsted.
- A greater percentage of American Indian residents live in Coalinga at 2% compared to 0% in North olmsted.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Coalinga | North olmsted |
---|---|---|
Mental Health Not Good | 16.9% | 16.2% |
Physical Health Not Good | 13.9% | 10.7% |
Depression | 16.4% | 24.8% |
Smoking | 17.2% | 17.3% |
Binge Drinking | 15.9% | 19.9% |
Obesity | 39.1% | 30.4% |
Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Coalinga vs North olmsted
- More residents in Coalinga report poor mental health at 16.9% compared to 16.2% in North olmsted.
- Higher depression rates are seen in North olmsted at 24.8% versus 16.4% in Coalinga.
- North olmsted has a higher smoking rate at 17.3% compared to 17.2% in Coalinga.
- More residents engage in binge drinking in North olmsted at 19.9% compared to 15.9% in Coalinga.
- Obesity rates are higher in Coalinga at 39.1% compared to 30.4% in North olmsted.
- Disability percentages are the same in both Coalinga and North olmsted at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Coalinga | North olmsted |
---|---|---|
No Schooling | 3.2% (537) | 0.7% (227) |
High School Diploma | 13.8% (2,349) | 18.3% (5,813) |
Less than High School | 39.2% (6,672) | 7.6% (2,419) |
Bachelor's Degree and Higher | 8.1% (1,380) | 23.2% (7,372) |
Education Levels Comparison: Coalinga vs North olmsted
- A higher percentage of residents in Coalinga have no formal schooling at 3.2% compared to 0.7% in North olmsted.
- In North olmsted, the rate of residents with high school diplomas is higher at 18.3% compared to 13.8% in Coalinga.
- More residents in Coalinga have less than a high school education at 39.2% compared to 7.6% in North olmsted.
- In North olmsted, a larger share of residents have a bachelor's degree or higher at 23.2% 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.