Demographics details for Santa maria, CA vs Sand coulee, MT
Population Overview
Compare main population characteristics in Santa maria, CA vs Sand coulee, MT.
Data | Santa maria | Sand coulee |
---|---|---|
Population | 110,125 | 223 |
Median Age | 29.3 years | 43.9 years |
Median Income | $81,237 | $74,091 |
Married Families | 31.0% | 54.0% |
Poverty Level | 15% | 7% |
Unemployment Rate | 5.0 | 2.5 |
Population Comparison: Santa maria vs Sand coulee
- In Santa maria, the population is higher at 110,125, compared to 223 in Sand coulee.
- The median age in Sand coulee is higher at 43.9 years, compared to 29.3 years in Santa maria.
- Santa maria has a higher median income of $81,237 compared to $74,091 in Sand coulee.
- In Sand coulee, the percentage of married families is higher at 54.0%, compared to 31.0% in Santa maria.
- Santa maria has a higher poverty level at 15% compared to 7% in Sand coulee.
- The unemployment rate in Santa maria is higher at 5.0%, compared to 2.5% in Sand coulee.
Demographics
Demographics Santa maria vs Sand coulee provide insight into the diversity of the communities to compare.
Demographic | Santa maria | Sand coulee |
---|---|---|
Black | 1 | Data is updating |
White | -13 | 83 |
Asian | 5 | 1 |
Hispanic | 77 | 8 |
Two or More Races | 28 | 8 |
American Indian | 2 | Data is updating |
Demographics Comparison: Santa maria vs Sand coulee
- A higher percentage of Black residents are in Santa maria at 1% compared to 0% in Sand coulee.
- The percentage of White residents is higher in Sand coulee at 83% compared to -13% in Santa maria.
- The Asian population is larger in Santa maria at 5% compared to 1% in Sand coulee.
- The Hispanic community is larger in Santa maria at 77% compared to 8% in Sand coulee.
- More residents identify as two or more races in Santa maria at 28% compared to 8% in Sand coulee.
- A greater percentage of American Indian residents live in Santa maria at 2% compared to 0% in Sand coulee.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Santa maria | Sand coulee |
---|---|---|
Mental Health Not Good | 17.2% | 16.3% |
Physical Health Not Good | 14.2% | 10.8% |
Depression | 19.5% | 24.3% |
Smoking | 15.3% | 17.5% |
Binge Drinking | 14.9% | 22.4% |
Obesity | 32.8% | 34.6% |
Disability Percentage | 10.0% | 9.0% |
Health Statistics Comparison: Santa maria vs Sand coulee
- More residents in Santa maria report poor mental health at 17.2% compared to 16.3% in Sand coulee.
- Higher depression rates are seen in Sand coulee at 24.3% versus 19.5% in Santa maria.
- Sand coulee has a higher smoking rate at 17.5% compared to 15.3% in Santa maria.
- More residents engage in binge drinking in Sand coulee at 22.4% compared to 14.9% in Santa maria.
- Sand coulee has higher obesity rates at 34.6% compared to 32.8% in Santa maria.
- Disability percentages are higher in Santa maria at 10.0% compared to 9.0% in Sand coulee.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Santa maria | Sand coulee |
---|---|---|
No Schooling | 3.9% (4,329) | 0.0% (Data is updating) |
High School Diploma | 10.4% (11,486) | 22.0% (49) |
Less than High School | 40.4% (44,477) | 16.1% (36) |
Bachelor's Degree and Higher | 8.1% (8,930) | 22.9% (51) |
Education Levels Comparison: Santa maria vs Sand coulee
- A higher percentage of residents in Santa maria have no formal schooling at 3.9% compared to 0.0% in Sand coulee.
- In Sand coulee, the rate of residents with high school diplomas is higher at 22.0% compared to 10.4% in Santa maria.
- More residents in Santa maria have less than a high school education at 40.4% compared to 16.1% in Sand coulee.
- In Sand coulee, a larger share of residents have a bachelor's degree or higher at 22.9% 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.