Demographics details for Santa maria, CA vs Scott city, MO
Population Overview
Compare main population characteristics in Santa maria, CA vs Scott city, MO.
Data | Santa maria | Scott city |
---|---|---|
Population | 110,125 | 4,350 |
Median Age | 29.3 years | 40.1 years |
Median Income | $81,237 | $57,771 |
Married Families | 31.0% | 43.0% |
Poverty Level | 15% | 9% |
Unemployment Rate | 5.0 | 3.2 |
Population Comparison: Santa maria vs Scott city
- In Santa maria, the population is higher at 110,125, compared to 4,350 in Scott city.
- The median age in Scott city is higher at 40.1 years, compared to 29.3 years in Santa maria.
- Santa maria has a higher median income of $81,237 compared to $57,771 in Scott city.
- In Scott city, the percentage of married families is higher at 43.0%, compared to 31.0% in Santa maria.
- Santa maria has a higher poverty level at 15% compared to 9% in Scott city.
- The unemployment rate in Santa maria is higher at 5.0%, compared to 3.2% in Scott city.
Demographics
Demographics Santa maria vs Scott city provide insight into the diversity of the communities to compare.
Demographic | Santa maria | Scott city |
---|---|---|
Black | 1 | Data is updating |
White | -13 | 92 |
Asian | 5 | Data is updating |
Hispanic | 77 | 3 |
Two or More Races | 28 | 5 |
American Indian | 2 | Data is updating |
Demographics Comparison: Santa maria vs Scott city
- A higher percentage of Black residents are in Santa maria at 1% compared to 0% in Scott city.
- The percentage of White residents is higher in Scott city at 92% compared to -13% in Santa maria.
- The Asian population is larger in Santa maria at 5% compared to 0% in Scott city.
- The Hispanic community is larger in Santa maria at 77% compared to 3% in Scott city.
- More residents identify as two or more races in Santa maria at 28% compared to 5% in Scott city.
- A greater percentage of American Indian residents live in Santa maria at 2% compared to 0% in Scott city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Santa maria | Scott city |
---|---|---|
Mental Health Not Good | 17.2% | 20.9% |
Physical Health Not Good | 14.2% | 15.5% |
Depression | 19.5% | 27.3% |
Smoking | 15.3% | 26.0% |
Binge Drinking | 14.9% | 17.0% |
Obesity | 32.8% | 37.0% |
Disability Percentage | 10.0% | 16.0% |
Health Statistics Comparison: Santa maria vs Scott city
- In Scott city, a higher percentage report poor mental health at 20.9% compared to 17.2% in Santa maria.
- Higher depression rates are seen in Scott city at 27.3% versus 19.5% in Santa maria.
- Scott city has a higher smoking rate at 26.0% compared to 15.3% in Santa maria.
- More residents engage in binge drinking in Scott city at 17.0% compared to 14.9% in Santa maria.
- Scott city has higher obesity rates at 37.0% compared to 32.8% in Santa maria.
- There is a higher percentage of disabled individuals in Scott city at 16.0% 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 | Scott city |
---|---|---|
No Schooling | 3.9% (4,329) | 0.4% (18) |
High School Diploma | 10.4% (11,486) | 20.4% (886) |
Less than High School | 40.4% (44,477) | 23.8% (1,035) |
Bachelor's Degree and Higher | 8.1% (8,930) | 10.9% (474) |
Education Levels Comparison: Santa maria vs Scott city
- A higher percentage of residents in Santa maria have no formal schooling at 3.9% compared to 0.4% in Scott city.
- In Scott city, the rate of residents with high school diplomas is higher at 20.4% compared to 10.4% in Santa maria.
- More residents in Santa maria have less than a high school education at 40.4% compared to 23.8% in Scott city.
- In Scott city, a larger share of residents have a bachelor's degree or higher at 10.9% compared to 8.1% in Santa maria.
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.