Demographics details for Saginaw, MI vs Sweetwater, TX
Population Overview
Compare main population characteristics in Saginaw, MI vs Sweetwater, TX.
Data | Saginaw | Sweetwater |
---|---|---|
Population | 43,477 | 10,408 |
Median Age | 34.5 years | 35.7 years |
Median Income | $35,521 | $44,306 |
Married Families | 21.0% | 32.0% |
Poverty Level | 24% | 15% |
Unemployment Rate | 10.2 | 5.4 |
Population Comparison: Saginaw vs Sweetwater
- In Saginaw, the population is higher at 43,477, compared to 10,408 in Sweetwater.
- The median age in Sweetwater is higher at 35.7 years, compared to 34.5 years in Saginaw.
- Sweetwater has a higher median income of $44,306, compared to $35,521 in Saginaw.
- In Sweetwater, the percentage of married families is higher at 32.0%, compared to 21.0% in Saginaw.
- Saginaw has a higher poverty level at 24% compared to 15% in Sweetwater.
- The unemployment rate in Saginaw is higher at 10.2%, compared to 5.4% in Sweetwater.
Demographics
Demographics Saginaw vs Sweetwater provide insight into the diversity of the communities to compare.
Demographic | Saginaw | Sweetwater |
---|---|---|
Black | 47 | 6 |
White | 25 | 34 |
Asian | Data is updating | Data is updating |
Hispanic | 17 | 46 |
Two or More Races | 11 | 13 |
American Indian | Data is updating | 1 |
Demographics Comparison: Saginaw vs Sweetwater
- A higher percentage of Black residents are in Saginaw at 47% compared to 6% in Sweetwater.
- The percentage of White residents is higher in Sweetwater at 34% compared to 25% in Saginaw.
- Both Saginaw and Sweetwater have the same percentage of Asian residents at 0%.
- Sweetwater has a higher percentage of Hispanic residents at 46%, compared to 17% in Saginaw.
- The percentage of residents identifying as two or more races is higher in Sweetwater at 13%, compared to 11% in Saginaw.
- In Sweetwater, the percentage of American Indian residents is higher at 1%, compared to 0% in Saginaw.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Saginaw | Sweetwater |
---|---|---|
Mental Health Not Good | 21.5% | 19.1% |
Physical Health Not Good | 16.8% | 14.3% |
Depression | 23.9% | 24.2% |
Smoking | 26.7% | 20.3% |
Binge Drinking | 13.6% | 17.3% |
Obesity | 51.1% | 38.9% |
Disability Percentage | 24.0% | 21.0% |
Health Statistics Comparison: Saginaw vs Sweetwater
- More residents in Saginaw report poor mental health at 21.5% compared to 19.1% in Sweetwater.
- Higher depression rates are seen in Sweetwater at 24.2% versus 23.9% in Saginaw.
- Smoking is more prevalent in Saginaw at 26.7% compared to 20.3% in Sweetwater.
- More residents engage in binge drinking in Sweetwater at 17.3% compared to 13.6% in Saginaw.
- Obesity rates are higher in Saginaw at 51.1% compared to 38.9% in Sweetwater.
- Disability percentages are higher in Saginaw at 24.0% compared to 21.0% in Sweetwater.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Saginaw | Sweetwater |
---|---|---|
No Schooling | 1.1% (489) | 1.9% (194) |
High School Diploma | 18.7% (8,145) | 16.0% (1,666) |
Less than High School | 16.8% (7,322) | 23.1% (2,408) |
Bachelor's Degree and Higher | 8.3% (3,613) | 7.0% (733) |
Education Levels Comparison: Saginaw vs Sweetwater
- In Sweetwater, a larger percentage of residents lack formal schooling at 1.9% compared to 1.1% in Saginaw.
- A higher percentage of residents in Saginaw hold a high school diploma at 18.7% compared to 16.0% in Sweetwater.
- The percentage of residents with less than a high school education is higher in Sweetwater at 23.1%, compared to 16.8% in Saginaw.
- A higher percentage of residents in Saginaw hold a bachelor's degree or higher at 8.3% compared to 7.0% in Sweetwater.
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.