Demographics details for Martinsville, VA vs Coalinga, CA
Population Overview
Compare main population characteristics in Martinsville, VA vs Coalinga, CA.
| Data | Martinsville | Coalinga |
|---|---|---|
| Population | 13,725 | 17,024 |
| Median Age | 39.9 years | 35.0 years |
| Median Income | $39,127 | $68,976 |
| Married Families | 27.0% | 31.0% |
| Poverty Level | 23% | 15% |
| Unemployment Rate | 4.8 | 6.5 |
Population Comparison: Martinsville vs Coalinga
- The population in Coalinga is higher at 17,024, compared to 13,725 in Martinsville.
- Residents in Martinsville have a higher median age of 39.9 years compared to 35.0 years in Coalinga.
- Coalinga has a higher median income of $68,976, compared to $39,127 in Martinsville.
- In Coalinga, the percentage of married families is higher at 31.0%, compared to 27.0% in Martinsville.
- Martinsville has a higher poverty level at 23% compared to 15% in Coalinga.
- Coalinga has a higher unemployment rate at 6.5% compared to 4.8% in Martinsville.
Demographics
Demographics Martinsville vs Coalinga provide insight into the diversity of the communities to compare.
| Demographic | Martinsville | Coalinga |
|---|---|---|
| Black | 45 | 4 |
| White | 41 | 9 |
| Asian | 1 | 2 |
| Hispanic | 7 | 65 |
| Two or More Races | 5 | 18 |
| American Indian | 1 | 2 |
Demographics Comparison: Martinsville vs Coalinga
- A higher percentage of Black residents are in Martinsville at 45% compared to 4% in Coalinga.
- Martinsville has a higher percentage of White residents at 41% compared to 9% in Coalinga.
- In Coalinga, the Asian population stands at 2%, greater than 1% in Martinsville.
- Coalinga has a higher percentage of Hispanic residents at 65%, compared to 7% in Martinsville.
- The percentage of residents identifying as two or more races is higher in Coalinga at 18%, compared to 5% in Martinsville.
- In Coalinga, the percentage of American Indian residents is higher at 2%, compared to 1% in Martinsville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Martinsville | Coalinga |
|---|---|---|
| Mental Health Not Good | 19.4% | 16.9% |
| Physical Health Not Good | 13.8% | 13.9% |
| Depression | 23.5% | 16.4% |
| Smoking | 21.6% | 17.2% |
| Binge Drinking | 14.7% | 15.9% |
| Obesity | 43.7% | 39.1% |
| Disability Percentage | 19.0% | 13.0% |
Health Statistics Comparison: Martinsville vs Coalinga
- More residents in Martinsville report poor mental health at 19.4% compared to 16.9% in Coalinga.
- Depression is more prevalent in Martinsville at 23.5% compared to 16.4% in Coalinga.
- Smoking is more prevalent in Martinsville at 21.6% compared to 17.2% in Coalinga.
- More residents engage in binge drinking in Coalinga at 15.9% compared to 14.7% in Martinsville.
- Obesity rates are higher in Martinsville at 43.7% compared to 39.1% in Coalinga.
- Disability percentages are higher in Martinsville at 19.0% compared to 13.0% in Coalinga.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Martinsville | Coalinga |
|---|---|---|
| No Schooling | 1.1% (150) | 3.2% (537) |
| High School Diploma | 16.9% (2,313) | 13.8% (2,349) |
| Less than High School | 13.1% (1,800) | 39.2% (6,672) |
| Bachelor's Degree and Higher | 13.2% (1,812) | 8.1% (1,380) |
Education Levels Comparison: Martinsville vs Coalinga
- In Coalinga, a larger percentage of residents lack formal schooling at 3.2% compared to 1.1% in Martinsville.
- A higher percentage of residents in Martinsville hold a high school diploma at 16.9% 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 13.1% in Martinsville.
- A higher percentage of residents in Martinsville hold a bachelor's degree or higher at 13.2% 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.