Demographics details for Albany, LA vs Sweetwater, TX
Population Overview
Compare main population characteristics in Albany, LA vs Sweetwater, TX.
Data | Albany | Sweetwater |
---|---|---|
Population | 1,242 | 10,408 |
Median Age | 29.3 years | 35.7 years |
Median Income | $74,375 | $44,306 |
Married Families | 39.0% | 32.0% |
Poverty Level | 12% | 15% |
Unemployment Rate | 3.5 | 5.4 |
Population Comparison: Albany vs Sweetwater
- The population in Sweetwater is higher at 10,408, compared to 1,242 in Albany.
- The median age in Sweetwater is higher at 35.7 years, compared to 29.3 years in Albany.
- Albany has a higher median income of $74,375 compared to $44,306 in Sweetwater.
- A higher percentage of married families is found in Albany at 39.0% compared to 32.0% in Sweetwater.
- The poverty level is higher in Sweetwater at 15%, compared to 12% in Albany.
- Sweetwater has a higher unemployment rate at 5.4% compared to 3.5% in Albany.
Demographics
Demographics Albany vs Sweetwater provide insight into the diversity of the communities to compare.
Demographic | Albany | Sweetwater |
---|---|---|
Black | Data is updating | 6 |
White | 100 | 34 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | 46 |
Two or More Races | Data is updating | 13 |
American Indian | Data is updating | 1 |
Demographics Comparison: Albany vs Sweetwater
- In Sweetwater, the percentage of Black residents is higher at 6% compared to 0% in Albany.
- Albany has a higher percentage of White residents at 100% compared to 34% in Sweetwater.
- Both Albany and Sweetwater have the same percentage of Asian residents at 0%.
- Sweetwater has a higher percentage of Hispanic residents at 46%, compared to 0% in Albany.
- The percentage of residents identifying as two or more races is higher in Sweetwater at 13%, compared to 0% in Albany.
- In Sweetwater, the percentage of American Indian residents is higher at 1%, compared to 0% in Albany.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Albany | Sweetwater |
---|---|---|
Mental Health Not Good | 20.6% | 19.1% |
Physical Health Not Good | 13.9% | 14.3% |
Depression | 29.8% | 24.2% |
Smoking | 23.0% | 20.3% |
Binge Drinking | 17.8% | 17.3% |
Obesity | 37.9% | 38.9% |
Disability Percentage | 16.0% | 21.0% |
Health Statistics Comparison: Albany vs Sweetwater
- More residents in Albany report poor mental health at 20.6% compared to 19.1% in Sweetwater.
- Depression is more prevalent in Albany at 29.8% compared to 24.2% in Sweetwater.
- Smoking is more prevalent in Albany at 23.0% compared to 20.3% in Sweetwater.
- Binge drinking is more common in Albany at 17.8% compared to 17.3% in Sweetwater.
- Sweetwater has higher obesity rates at 38.9% compared to 37.9% in Albany.
- There is a higher percentage of disabled individuals in Sweetwater at 21.0% compared to 16.0% in Albany.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Albany | Sweetwater |
---|---|---|
No Schooling | 0.5% (6) | 1.9% (194) |
High School Diploma | 10.5% (131) | 16.0% (1,666) |
Less than High School | 12.1% (150) | 23.1% (2,408) |
Bachelor's Degree and Higher | 15.9% (198) | 7.0% (733) |
Education Levels Comparison: Albany vs Sweetwater
- In Sweetwater, a larger percentage of residents lack formal schooling at 1.9% compared to 0.5% in Albany.
- In Sweetwater, the rate of residents with high school diplomas is higher at 16.0% compared to 10.5% in Albany.
- The percentage of residents with less than a high school education is higher in Sweetwater at 23.1%, compared to 12.1% in Albany.
- A higher percentage of residents in Albany hold a bachelor's degree or higher at 15.9% 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.