Demographics details for Coalinga, CA vs Shepherd, MT
Population Overview
Compare main population characteristics in Coalinga, CA vs Shepherd, MT.
| Data | Coalinga | Shepherd |
|---|---|---|
| Population | 17,024 | 772 |
| Median Age | 35.0 years | 40.5 years |
| Median Income | $68,976 | $125,179 |
| Married Families | 31.0% | 47.0% |
| Poverty Level | 15% | 5% |
| Unemployment Rate | 6.5 | 2.5 |
Population Comparison: Coalinga vs Shepherd
- In Coalinga, the population is higher at 17,024, compared to 772 in Shepherd.
- The median age in Shepherd is higher at 40.5 years, compared to 35.0 years in Coalinga.
- Shepherd has a higher median income of $125,179, compared to $68,976 in Coalinga.
- In Shepherd, the percentage of married families is higher at 47.0%, compared to 31.0% in Coalinga.
- Coalinga has a higher poverty level at 15% compared to 5% in Shepherd.
- The unemployment rate in Coalinga is higher at 6.5%, compared to 2.5% in Shepherd.
Demographics
Demographics Coalinga vs Shepherd provide insight into the diversity of the communities to compare.
| Demographic | Coalinga | Shepherd |
|---|---|---|
| Black | 4 | Data is updating |
| White | 9 | 86 |
| Asian | 2 | Data is updating |
| Hispanic | 65 | Data is updating |
| Two or More Races | 18 | Data is updating |
| American Indian | 2 | 14 |
Demographics Comparison: Coalinga vs Shepherd
- A higher percentage of Black residents are in Coalinga at 4% compared to 0% in Shepherd.
- The percentage of White residents is higher in Shepherd at 86% compared to 9% in Coalinga.
- The Asian population is larger in Coalinga at 2% compared to 0% in Shepherd.
- The Hispanic community is larger in Coalinga at 65% compared to 0% in Shepherd.
- More residents identify as two or more races in Coalinga at 18% compared to 0% in Shepherd.
- In Shepherd, the percentage of American Indian residents is higher at 14%, compared to 2% in Coalinga.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Coalinga | Shepherd |
|---|---|---|
| Mental Health Not Good | 16.9% | 16.7% |
| Physical Health Not Good | 13.9% | 11.2% |
| Depression | 16.4% | 28.0% |
| Smoking | 17.2% | 16.7% |
| Binge Drinking | 15.9% | 23.7% |
| Obesity | 39.1% | 33.2% |
| Disability Percentage | 13.0% | 6.0% |
Health Statistics Comparison: Coalinga vs Shepherd
- More residents in Coalinga report poor mental health at 16.9% compared to 16.7% in Shepherd.
- Higher depression rates are seen in Shepherd at 28.0% versus 16.4% in Coalinga.
- Smoking is more prevalent in Coalinga at 17.2% compared to 16.7% in Shepherd.
- More residents engage in binge drinking in Shepherd at 23.7% compared to 15.9% in Coalinga.
- Obesity rates are higher in Coalinga at 39.1% compared to 33.2% in Shepherd.
- Disability percentages are higher in Coalinga at 13.0% compared to 6.0% in Shepherd.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Coalinga | Shepherd |
|---|---|---|
| No Schooling | 3.2% (537) | 0.0% (Data is updating) |
| High School Diploma | 13.8% (2,349) | 16.2% (125) |
| Less than High School | 39.2% (6,672) | 8.0% (62) |
| Bachelor's Degree and Higher | 8.1% (1,380) | 17.9% (138) |
Education Levels Comparison: Coalinga vs Shepherd
- A higher percentage of residents in Coalinga have no formal schooling at 3.2% compared to 0.0% in Shepherd.
- In Shepherd, the rate of residents with high school diplomas is higher at 16.2% compared to 13.8% in Coalinga.
- More residents in Coalinga have less than a high school education at 39.2% compared to 8.0% in Shepherd.
- In Shepherd, a larger share of residents have a bachelor's degree or higher at 17.9% 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.