Demographics details for Sweetwater, TX vs Springfield, MO
Population Overview
Compare main population characteristics in Sweetwater, TX vs Springfield, MO.
Data | Sweetwater | Springfield |
---|---|---|
Population | 10,408 | 170,067 |
Median Age | 35.7 years | 33.3 years |
Median Income | $44,306 | $43,450 |
Married Families | 32.0% | 32.0% |
Poverty Level | 15% | 17% |
Unemployment Rate | 5.4 | 4.0 |
Population Comparison: Sweetwater vs Springfield
- The population in Springfield is higher at 170,067, compared to 10,408 in Sweetwater.
- Residents in Sweetwater have a higher median age of 35.7 years compared to 33.3 years in Springfield.
- Sweetwater has a higher median income of $44,306 compared to $43,450 in Springfield.
- The percentage of married families is the same in both Sweetwater and Springfield at 32.0%.
- The poverty level is higher in Springfield at 17%, compared to 15% in Sweetwater.
- The unemployment rate in Sweetwater is higher at 5.4%, compared to 4.0% in Springfield.
Demographics
Demographics Sweetwater vs Springfield provide insight into the diversity of the communities to compare.
Demographic | Sweetwater | Springfield |
---|---|---|
Black | 6 | 4 |
White | 34 | 83 |
Asian | Data is updating | 2 |
Hispanic | 46 | 5 |
Two or More Races | 13 | 6 |
American Indian | 1 | Data is updating |
Demographics Comparison: Sweetwater vs Springfield
- A higher percentage of Black residents are in Sweetwater at 6% compared to 4% in Springfield.
- The percentage of White residents is higher in Springfield at 83% compared to 34% in Sweetwater.
- In Springfield, the Asian population stands at 2%, greater than 0% in Sweetwater.
- The Hispanic community is larger in Sweetwater at 46% compared to 5% in Springfield.
- More residents identify as two or more races in Sweetwater at 13% compared to 6% in Springfield.
- A greater percentage of American Indian residents live in Sweetwater at 1% compared to 0% in Springfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sweetwater | Springfield |
---|---|---|
Mental Health Not Good | 19.1% | 19.8% |
Physical Health Not Good | 14.3% | 14.1% |
Depression | 24.2% | 27.3% |
Smoking | 20.3% | 21.6% |
Binge Drinking | 17.3% | 16.5% |
Obesity | 38.9% | 35.8% |
Disability Percentage | 21.0% | 16.0% |
Health Statistics Comparison: Sweetwater vs Springfield
- In Springfield, a higher percentage report poor mental health at 19.8% compared to 19.1% in Sweetwater.
- Higher depression rates are seen in Springfield at 27.3% versus 24.2% in Sweetwater.
- Springfield has a higher smoking rate at 21.6% compared to 20.3% in Sweetwater.
- Binge drinking is more common in Sweetwater at 17.3% compared to 16.5% in Springfield.
- Obesity rates are higher in Sweetwater at 38.9% compared to 35.8% in Springfield.
- Disability percentages are higher in Sweetwater at 21.0% compared to 16.0% in Springfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sweetwater | Springfield |
---|---|---|
No Schooling | 1.9% (194) | 0.6% (1,094) |
High School Diploma | 16.0% (1,666) | 14.7% (24,915) |
Less than High School | 23.1% (2,408) | 9.6% (16,273) |
Bachelor's Degree and Higher | 7.0% (733) | 18.9% (32,189) |
Education Levels Comparison: Sweetwater vs Springfield
- A higher percentage of residents in Sweetwater have no formal schooling at 1.9% compared to 0.6% in Springfield.
- A higher percentage of residents in Sweetwater hold a high school diploma at 16.0% compared to 14.7% in Springfield.
- More residents in Sweetwater have less than a high school education at 23.1% compared to 9.6% in Springfield.
- In Springfield, a larger share of residents have a bachelor's degree or higher at 18.9% 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.