Demographics details for Baltic, SD vs Sweetwater, TX
Population Overview
Compare main population characteristics in Baltic, SD vs Sweetwater, TX.
| Data | Baltic | Sweetwater |
|---|---|---|
| Population | 1,322 | 10,408 |
| Median Age | 30.1 years | 35.7 years |
| Median Income | $94,167 | $44,306 |
| Married Families | 48.0% | 32.0% |
| Poverty Level | Data is updating | 15% |
| Unemployment Rate | 2.5 | 5.4 |
Population Comparison: Baltic vs Sweetwater
- The population in Sweetwater is higher at 10,408, compared to 1,322 in Baltic.
- The median age in Sweetwater is higher at 35.7 years, compared to 30.1 years in Baltic.
- Baltic has a higher median income of $94,167 compared to $44,306 in Sweetwater.
- A higher percentage of married families is found in Baltic at 48.0% compared to 32.0% in Sweetwater.
- The poverty level is higher in Sweetwater at 15%, compared to 0% in Baltic.
- Sweetwater has a higher unemployment rate at 5.4% compared to 2.5% in Baltic.
Demographics
Demographics Baltic vs Sweetwater provide insight into the diversity of the communities to compare.
| Demographic | Baltic | Sweetwater |
|---|---|---|
| Black | 1 | 6 |
| White | 92 | 34 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | 46 |
| Two or More Races | 5 | 13 |
| American Indian | 1 | 1 |
Demographics Comparison: Baltic vs Sweetwater
- In Sweetwater, the percentage of Black residents is higher at 6% compared to 1% in Baltic.
- Baltic has a higher percentage of White residents at 92% compared to 34% in Sweetwater.
- Both Baltic and Sweetwater have the same percentage of Asian residents at 0%.
- Sweetwater has a higher percentage of Hispanic residents at 46%, compared to 1% in Baltic.
- The percentage of residents identifying as two or more races is higher in Sweetwater at 13%, compared to 5% in Baltic.
- The percentage of American Indian residents is the same in both Baltic and Sweetwater at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Baltic | Sweetwater |
|---|---|---|
| Mental Health Not Good | 13.1% | 19.1% |
| Physical Health Not Good | 8.1% | 14.3% |
| Depression | 19.9% | 24.2% |
| Smoking | 15.0% | 20.3% |
| Binge Drinking | 23.1% | 17.3% |
| Obesity | 34.5% | 38.9% |
| Disability Percentage | 9.0% | 21.0% |
Health Statistics Comparison: Baltic vs Sweetwater
- In Sweetwater, a higher percentage report poor mental health at 19.1% compared to 13.1% in Baltic.
- Higher depression rates are seen in Sweetwater at 24.2% versus 19.9% in Baltic.
- Sweetwater has a higher smoking rate at 20.3% compared to 15.0% in Baltic.
- Binge drinking is more common in Baltic at 23.1% compared to 17.3% in Sweetwater.
- Sweetwater has higher obesity rates at 38.9% compared to 34.5% in Baltic.
- There is a higher percentage of disabled individuals in Sweetwater at 21.0% compared to 9.0% in Baltic.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Baltic | Sweetwater |
|---|---|---|
| No Schooling | 0.2% (2) | 1.9% (194) |
| High School Diploma | 15.1% (199) | 16.0% (1,666) |
| Less than High School | 3.6% (48) | 23.1% (2,408) |
| Bachelor's Degree and Higher | 19.1% (252) | 7.0% (733) |
Education Levels Comparison: Baltic vs Sweetwater
- In Sweetwater, a larger percentage of residents lack formal schooling at 1.9% compared to 0.2% in Baltic.
- In Sweetwater, the rate of residents with high school diplomas is higher at 16.0% compared to 15.1% in Baltic.
- The percentage of residents with less than a high school education is higher in Sweetwater at 23.1%, compared to 3.6% in Baltic.
- A higher percentage of residents in Baltic hold a bachelor's degree or higher at 19.1% 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.