Demographics details for Coalinga, CA vs New windsor, NY
Population Overview
Compare main population characteristics in Coalinga, CA vs New windsor, NY.
Data | Coalinga | New windsor |
---|---|---|
Population | 17,024 | 27,664 |
Median Age | 35.0 years | 41.0 years |
Median Income | $68,976 | $80,000 |
Married Families | 31.0% | 62.1% |
Poverty Level | 15% | Data is updating |
Unemployment Rate | 6.5 | 3.1 |
Population Comparison: Coalinga vs New windsor
- The population in New windsor is higher at 27,664, compared to 17,024 in Coalinga.
- The median age in New windsor is higher at 41.0 years, compared to 35.0 years in Coalinga.
- New windsor has a higher median income of $80,000, compared to $68,976 in Coalinga.
- In New windsor, the percentage of married families is higher at 62.1%, compared to 31.0% in Coalinga.
- Coalinga has a higher poverty level at 15% compared to 0% in New windsor.
- The unemployment rate in Coalinga is higher at 6.5%, compared to 3.1% in New windsor.
Demographics
Demographics Coalinga vs New windsor provide insight into the diversity of the communities to compare.
Demographic | Coalinga | New windsor |
---|---|---|
Black | 4 | 5 |
White | 9 | 80 |
Asian | 2 | 5 |
Hispanic | 65 | 10 |
Two or More Races | 18 | Data is updating |
American Indian | 2 | Data is updating |
Demographics Comparison: Coalinga vs New windsor
- In New windsor, the percentage of Black residents is higher at 5% compared to 4% in Coalinga.
- The percentage of White residents is higher in New windsor at 80% compared to 9% in Coalinga.
- In New windsor, the Asian population stands at 5%, greater than 2% in Coalinga.
- The Hispanic community is larger in Coalinga at 65% compared to 10% in New windsor.
- More residents identify as two or more races in Coalinga at 18% compared to 0% in New windsor.
- A greater percentage of American Indian residents live in Coalinga at 2% compared to 0% in New windsor.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Coalinga | New windsor |
---|---|---|
Mental Health Not Good | 16.9% | Data is updating% |
Physical Health Not Good | 13.9% | Data is updating% |
Depression | 16.4% | Data is updating% |
Smoking | 17.2% | Data is updating% |
Binge Drinking | 15.9% | Data is updating% |
Obesity | 39.1% | Data is updating% |
Disability Percentage | 13.0% | Data is updating% |
Health Statistics Comparison: Coalinga vs New windsor
- More residents in Coalinga report poor mental health at 16.9% compared to 0.0% in New windsor.
- Depression is more prevalent in Coalinga at 16.4% compared to 0.0% in New windsor.
- Smoking is more prevalent in Coalinga at 17.2% compared to 0.0% in New windsor.
- Binge drinking is more common in Coalinga at 15.9% compared to 0.0% in New windsor.
- Obesity rates are higher in Coalinga at 39.1% compared to 0.0% in New windsor.
- Disability percentages are higher in Coalinga at 13.0% compared to 0.0% in New windsor.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Coalinga | New windsor |
---|---|---|
No Schooling | 3.2% (537) | 0.0% (Data is updating) |
High School Diploma | 13.8% (2,349) | 0.0% (Data is updating) |
Less than High School | 39.2% (6,672) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 8.1% (1,380) | 0.0% (Data is updating) |
Education Levels Comparison: Coalinga vs New windsor
- A higher percentage of residents in Coalinga have no formal schooling at 3.2% compared to 0.0% in New windsor.
- A higher percentage of residents in Coalinga hold a high school diploma at 13.8% compared to 0.0% in New windsor.
- More residents in Coalinga have less than a high school education at 39.2% compared to 0.0% in New windsor.
- A higher percentage of residents in Coalinga hold a bachelor's degree or higher at 8.1% compared to 0.0% in New windsor.
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.