Demographics details for Scott city, MO vs Hilmar, CA
Population Overview
Compare main population characteristics in Scott city, MO vs Hilmar, CA.
| Data | Scott city | Hilmar |
|---|---|---|
| Population | 4,350 | 11,136 |
| Median Age | 40.1 years | 36.4 years |
| Median Income | $57,771 | $71,753 |
| Married Families | 43.0% | 42.0% |
| Poverty Level | 9% | 15% |
| Unemployment Rate | 3.2 | 4.5 |
Population Comparison: Scott city vs Hilmar
- The population in Hilmar is higher at 11,136, compared to 4,350 in Scott city.
- Residents in Scott city have a higher median age of 40.1 years compared to 36.4 years in Hilmar.
- Hilmar has a higher median income of $71,753, compared to $57,771 in Scott city.
- A higher percentage of married families is found in Scott city at 43.0% compared to 42.0% in Hilmar.
- The poverty level is higher in Hilmar at 15%, compared to 9% in Scott city.
- Hilmar has a higher unemployment rate at 4.5% compared to 3.2% in Scott city.
Demographics
Demographics Scott city vs Hilmar provide insight into the diversity of the communities to compare.
| Demographic | Scott city | Hilmar |
|---|---|---|
| Black | Data is updating | 1 |
| White | 92 | 52 |
| Asian | Data is updating | 2 |
| Hispanic | 3 | 42 |
| Two or More Races | 5 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Scott city vs Hilmar
- In Hilmar, the percentage of Black residents is higher at 1% compared to 0% in Scott city.
- Scott city has a higher percentage of White residents at 92% compared to 52% in Hilmar.
- In Hilmar, the Asian population stands at 2%, greater than 0% in Scott city.
- Hilmar has a higher percentage of Hispanic residents at 42%, compared to 3% in Scott city.
- More residents identify as two or more races in Scott city at 5% compared to 3% in Hilmar.
- The percentage of American Indian residents is the same in both Scott city and Hilmar at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Scott city | Hilmar |
|---|---|---|
| Mental Health Not Good | 20.9% | Data is updating% |
| Physical Health Not Good | 15.5% | Data is updating% |
| Depression | 27.3% | Data is updating% |
| Smoking | 26.0% | Data is updating% |
| Binge Drinking | 17.0% | Data is updating% |
| Obesity | 37.0% | Data is updating% |
| Disability Percentage | 16.0% | 14.0% |
Health Statistics Comparison: Scott city vs Hilmar
- More residents in Scott city report poor mental health at 20.9% compared to 0.0% in Hilmar.
- Depression is more prevalent in Scott city at 27.3% compared to 0.0% in Hilmar.
- Smoking is more prevalent in Scott city at 26.0% compared to 0.0% in Hilmar.
- Binge drinking is more common in Scott city at 17.0% compared to 0.0% in Hilmar.
- Obesity rates are higher in Scott city at 37.0% compared to 0.0% in Hilmar.
- Disability percentages are higher in Scott city at 16.0% compared to 14.0% in Hilmar.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Scott city | Hilmar |
|---|---|---|
| No Schooling | 0.4% (18) | 2.6% (294) |
| High School Diploma | 20.4% (886) | 16.8% (1,868) |
| Less than High School | 23.8% (1,035) | 35.7% (3,978) |
| Bachelor's Degree and Higher | 10.9% (474) | 6.9% (769) |
Education Levels Comparison: Scott city vs Hilmar
- In Hilmar, a larger percentage of residents lack formal schooling at 2.6% compared to 0.4% in Scott city.
- A higher percentage of residents in Scott city hold a high school diploma at 20.4% compared to 16.8% in Hilmar.
- The percentage of residents with less than a high school education is higher in Hilmar at 35.7%, compared to 23.8% in Scott city.
- A higher percentage of residents in Scott city hold a bachelor's degree or higher at 10.9% compared to 6.9% in Hilmar.
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.