Demographics details for Santa maria, CA vs Evarts, KY
Population Overview
Compare main population characteristics in Santa maria, CA vs Evarts, KY.
Data | Santa maria | Evarts |
---|---|---|
Population | 110,125 | 834 |
Median Age | 29.3 years | 40.3 years |
Median Income | $81,237 | $32,222 |
Married Families | 31.0% | 39.0% |
Poverty Level | 15% | 20% |
Unemployment Rate | 5.0 | 5.1 |
Population Comparison: Santa maria vs Evarts
- In Santa maria, the population is higher at 110,125, compared to 834 in Evarts.
- The median age in Evarts is higher at 40.3 years, compared to 29.3 years in Santa maria.
- Santa maria has a higher median income of $81,237 compared to $32,222 in Evarts.
- In Evarts, the percentage of married families is higher at 39.0%, compared to 31.0% in Santa maria.
- The poverty level is higher in Evarts at 20%, compared to 15% in Santa maria.
- Evarts has a higher unemployment rate at 5.1% compared to 5.0% in Santa maria.
Demographics
Demographics Santa maria vs Evarts provide insight into the diversity of the communities to compare.
Demographic | Santa maria | Evarts |
---|---|---|
Black | 1 | 2 |
White | -13 | 93 |
Asian | 5 | Data is updating |
Hispanic | 77 | 2 |
Two or More Races | 28 | 3 |
American Indian | 2 | Data is updating |
Demographics Comparison: Santa maria vs Evarts
- In Evarts, the percentage of Black residents is higher at 2% compared to 1% in Santa maria.
- The percentage of White residents is higher in Evarts at 93% compared to -13% in Santa maria.
- The Asian population is larger in Santa maria at 5% compared to 0% in Evarts.
- The Hispanic community is larger in Santa maria at 77% compared to 2% in Evarts.
- More residents identify as two or more races in Santa maria at 28% compared to 3% in Evarts.
- A greater percentage of American Indian residents live in Santa maria at 2% compared to 0% in Evarts.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Santa maria | Evarts |
---|---|---|
Mental Health Not Good | 17.2% | 25.3% |
Physical Health Not Good | 14.2% | 22.3% |
Depression | 19.5% | 32.1% |
Smoking | 15.3% | 36.5% |
Binge Drinking | 14.9% | 12.5% |
Obesity | 32.8% | 47.5% |
Disability Percentage | 10.0% | 30.0% |
Health Statistics Comparison: Santa maria vs Evarts
- In Evarts, a higher percentage report poor mental health at 25.3% compared to 17.2% in Santa maria.
- Higher depression rates are seen in Evarts at 32.1% versus 19.5% in Santa maria.
- Evarts has a higher smoking rate at 36.5% compared to 15.3% in Santa maria.
- Binge drinking is more common in Santa maria at 14.9% compared to 12.5% in Evarts.
- Evarts has higher obesity rates at 47.5% compared to 32.8% in Santa maria.
- There is a higher percentage of disabled individuals in Evarts at 30.0% compared to 10.0% in Santa maria.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Santa maria | Evarts |
---|---|---|
No Schooling | 3.9% (4,329) | 1.7% (14) |
High School Diploma | 10.4% (11,486) | 22.8% (190) |
Less than High School | 40.4% (44,477) | 45.6% (380) |
Bachelor's Degree and Higher | 8.1% (8,930) | 7.3% (61) |
Education Levels Comparison: Santa maria vs Evarts
- A higher percentage of residents in Santa maria have no formal schooling at 3.9% compared to 1.7% in Evarts.
- In Evarts, the rate of residents with high school diplomas is higher at 22.8% compared to 10.4% in Santa maria.
- The percentage of residents with less than a high school education is higher in Evarts at 45.6%, compared to 40.4% in Santa maria.
- A higher percentage of residents in Santa maria hold a bachelor's degree or higher at 8.1% compared to 7.3% in Evarts.
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.