Demographics details for Old monroe, MO vs Coalinga, CA
Population Overview
Compare main population characteristics in Old monroe, MO vs Coalinga, CA.
| Data | Old monroe | Coalinga |
|---|---|---|
| Population | 263 | 17,024 |
| Median Age | 33.0 years | 35.0 years |
| Median Income | $61,250 | $68,976 |
| Married Families | 28.0% | 31.0% |
| Poverty Level | 10% | 15% |
| Unemployment Rate | 4.5 | 6.5 |
Population Comparison: Old monroe vs Coalinga
- The population in Coalinga is higher at 17,024, compared to 263 in Old monroe.
- The median age in Coalinga is higher at 35.0 years, compared to 33.0 years in Old monroe.
- Coalinga has a higher median income of $68,976, compared to $61,250 in Old monroe.
- In Coalinga, the percentage of married families is higher at 31.0%, compared to 28.0% in Old monroe.
- The poverty level is higher in Coalinga at 15%, compared to 10% in Old monroe.
- Coalinga has a higher unemployment rate at 6.5% compared to 4.5% in Old monroe.
Demographics
Demographics Old monroe vs Coalinga provide insight into the diversity of the communities to compare.
| Demographic | Old monroe | Coalinga |
|---|---|---|
| Black | Data is updating | 4 |
| White | 100 | 9 |
| Asian | Data is updating | 2 |
| Hispanic | Data is updating | 65 |
| Two or More Races | Data is updating | 18 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Old monroe vs Coalinga
- In Coalinga, the percentage of Black residents is higher at 4% compared to 0% in Old monroe.
- Old monroe has a higher percentage of White residents at 100% compared to 9% in Coalinga.
- In Coalinga, the Asian population stands at 2%, greater than 0% in Old monroe.
- Coalinga has a higher percentage of Hispanic residents at 65%, compared to 0% in Old monroe.
- The percentage of residents identifying as two or more races is higher in Coalinga at 18%, compared to 0% in Old monroe.
- In Coalinga, the percentage of American Indian residents is higher at 2%, compared to 0% in Old monroe.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Old monroe | Coalinga |
|---|---|---|
| Mental Health Not Good | 18.6% | 16.9% |
| Physical Health Not Good | 13.7% | 13.9% |
| Depression | 26.0% | 16.4% |
| Smoking | 22.2% | 17.2% |
| Binge Drinking | 17.9% | 15.9% |
| Obesity | 44.3% | 39.1% |
| Disability Percentage | 13.0% | 13.0% |
Health Statistics Comparison: Old monroe vs Coalinga
- More residents in Old monroe report poor mental health at 18.6% compared to 16.9% in Coalinga.
- Depression is more prevalent in Old monroe at 26.0% compared to 16.4% in Coalinga.
- Smoking is more prevalent in Old monroe at 22.2% compared to 17.2% in Coalinga.
- Binge drinking is more common in Old monroe at 17.9% compared to 15.9% in Coalinga.
- Obesity rates are higher in Old monroe at 44.3% compared to 39.1% in Coalinga.
- Disability percentages are the same in both Old monroe and Coalinga at 13.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Old monroe | Coalinga |
|---|---|---|
| No Schooling | 0.4% (1) | 3.2% (537) |
| High School Diploma | 19.0% (50) | 13.8% (2,349) |
| Less than High School | 10.6% (28) | 39.2% (6,672) |
| Bachelor's Degree and Higher | 5.3% (14) | 8.1% (1,380) |
Education Levels Comparison: Old monroe vs Coalinga
- In Coalinga, a larger percentage of residents lack formal schooling at 3.2% compared to 0.4% in Old monroe.
- A higher percentage of residents in Old monroe hold a high school diploma at 19.0% compared to 13.8% in Coalinga.
- The percentage of residents with less than a high school education is higher in Coalinga at 39.2%, compared to 10.6% in Old monroe.
- In Coalinga, a larger share of residents have a bachelor's degree or higher at 8.1% compared to 5.3% in Old monroe.
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.