Demographics details for Santa maria, CA vs Forest lake, MN
Population Overview
Compare main population characteristics in Santa maria, CA vs Forest lake, MN.
Data | Santa maria | Forest lake |
---|---|---|
Population | 110,125 | 20,857 |
Median Age | 29.3 years | 37.9 years |
Median Income | $81,237 | $91,157 |
Married Families | 31.0% | 42.0% |
Poverty Level | 15% | 6% |
Unemployment Rate | 5.0 | 3.2 |
Population Comparison: Santa maria vs Forest lake
- In Santa maria, the population is higher at 110,125, compared to 20,857 in Forest lake.
- The median age in Forest lake is higher at 37.9 years, compared to 29.3 years in Santa maria.
- Forest lake has a higher median income of $91,157, compared to $81,237 in Santa maria.
- In Forest lake, the percentage of married families is higher at 42.0%, compared to 31.0% in Santa maria.
- Santa maria has a higher poverty level at 15% compared to 6% in Forest lake.
- The unemployment rate in Santa maria is higher at 5.0%, compared to 3.2% in Forest lake.
Demographics
Demographics Santa maria vs Forest lake provide insight into the diversity of the communities to compare.
Demographic | Santa maria | Forest lake |
---|---|---|
Black | 1 | 3 |
White | -13 | 81 |
Asian | 5 | 4 |
Hispanic | 77 | 6 |
Two or More Races | 28 | 6 |
American Indian | 2 | Data is updating |
Demographics Comparison: Santa maria vs Forest lake
- In Forest lake, the percentage of Black residents is higher at 3% compared to 1% in Santa maria.
- The percentage of White residents is higher in Forest lake at 81% compared to -13% in Santa maria.
- The Asian population is larger in Santa maria at 5% compared to 4% in Forest lake.
- The Hispanic community is larger in Santa maria at 77% compared to 6% in Forest lake.
- More residents identify as two or more races in Santa maria at 28% compared to 6% in Forest lake.
- A greater percentage of American Indian residents live in Santa maria at 2% compared to 0% in Forest lake.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Santa maria | Forest lake |
---|---|---|
Mental Health Not Good | 17.2% | 14.7% |
Physical Health Not Good | 14.2% | 8.8% |
Depression | 19.5% | 24.1% |
Smoking | 15.3% | 15.7% |
Binge Drinking | 14.9% | 21.4% |
Obesity | 32.8% | 32.9% |
Disability Percentage | 10.0% | 10.0% |
Health Statistics Comparison: Santa maria vs Forest lake
- More residents in Santa maria report poor mental health at 17.2% compared to 14.7% in Forest lake.
- Higher depression rates are seen in Forest lake at 24.1% versus 19.5% in Santa maria.
- Forest lake has a higher smoking rate at 15.7% compared to 15.3% in Santa maria.
- More residents engage in binge drinking in Forest lake at 21.4% compared to 14.9% in Santa maria.
- Forest lake has higher obesity rates at 32.9% compared to 32.8% in Santa maria.
- Disability percentages are the same in both Santa maria and Forest lake at 10.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Santa maria | Forest lake |
---|---|---|
No Schooling | 3.9% (4,329) | 0.5% (101) |
High School Diploma | 10.4% (11,486) | 14.6% (3,055) |
Less than High School | 40.4% (44,477) | 7.7% (1,615) |
Bachelor's Degree and Higher | 8.1% (8,930) | 24.6% (5,123) |
Education Levels Comparison: Santa maria vs Forest lake
- A higher percentage of residents in Santa maria have no formal schooling at 3.9% compared to 0.5% in Forest lake.
- In Forest lake, the rate of residents with high school diplomas is higher at 14.6% compared to 10.4% in Santa maria.
- More residents in Santa maria have less than a high school education at 40.4% compared to 7.7% in Forest lake.
- In Forest lake, a larger share of residents have a bachelor's degree or higher at 24.6% 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.