Demographics details for Peru, NY vs Sweetwater, TX
Population Overview
Compare main population characteristics in Peru, NY vs Sweetwater, TX.
Data | Peru | Sweetwater |
---|---|---|
Population | 6,998 | 10,408 |
Median Age | 41.0 years | 35.7 years |
Median Income | $73,000 | $44,306 |
Married Families | 60.0% | 32.0% |
Poverty Level | 10% | 15% |
Unemployment Rate | 4.0 | 5.4 |
Population Comparison: Peru vs Sweetwater
- The population in Sweetwater is higher at 10,408, compared to 6,998 in Peru.
- Residents in Peru have a higher median age of 41.0 years compared to 35.7 years in Sweetwater.
- Peru has a higher median income of $73,000 compared to $44,306 in Sweetwater.
- A higher percentage of married families is found in Peru at 60.0% compared to 32.0% in Sweetwater.
- The poverty level is higher in Sweetwater at 15%, compared to 10% in Peru.
- Sweetwater has a higher unemployment rate at 5.4% compared to 4.0% in Peru.
Demographics
Demographics Peru vs Sweetwater provide insight into the diversity of the communities to compare.
Demographic | Peru | Sweetwater |
---|---|---|
Black | 1 | 6 |
White | 95 | 34 |
Asian | 1 | Data is updating |
Hispanic | 3 | 46 |
Two or More Races | Data is updating | 13 |
American Indian | Data is updating | 1 |
Demographics Comparison: Peru vs Sweetwater
- In Sweetwater, the percentage of Black residents is higher at 6% compared to 1% in Peru.
- Peru has a higher percentage of White residents at 95% compared to 34% in Sweetwater.
- The Asian population is larger in Peru at 1% compared to 0% in Sweetwater.
- Sweetwater has a higher percentage of Hispanic residents at 46%, compared to 3% in Peru.
- The percentage of residents identifying as two or more races is higher in Sweetwater at 13%, compared to 0% in Peru.
- In Sweetwater, the percentage of American Indian residents is higher at 1%, compared to 0% in Peru.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Peru | Sweetwater |
---|---|---|
Mental Health Not Good | Data is updating% | 19.1% |
Physical Health Not Good | Data is updating% | 14.3% |
Depression | Data is updating% | 24.2% |
Smoking | Data is updating% | 20.3% |
Binge Drinking | Data is updating% | 17.3% |
Obesity | Data is updating% | 38.9% |
Disability Percentage | Data is updating% | 21.0% |
Health Statistics Comparison: Peru vs Sweetwater
- In Sweetwater, a higher percentage report poor mental health at 19.1% compared to 0.0% in Peru.
- Higher depression rates are seen in Sweetwater at 24.2% versus 0.0% in Peru.
- Sweetwater has a higher smoking rate at 20.3% compared to 0.0% in Peru.
- More residents engage in binge drinking in Sweetwater at 17.3% compared to 0.0% in Peru.
- Sweetwater has higher obesity rates at 38.9% compared to 0.0% in Peru.
- There is a higher percentage of disabled individuals in Sweetwater at 21.0% compared to 0.0% in Peru.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Peru | Sweetwater |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.9% (194) |
High School Diploma | 0.0% (Data is updating) | 16.0% (1,666) |
Less than High School | 0.0% (Data is updating) | 23.1% (2,408) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 7.0% (733) |
Education Levels Comparison: Peru vs Sweetwater
- In Sweetwater, a larger percentage of residents lack formal schooling at 1.9% compared to 0.0% in Peru.
- In Sweetwater, the rate of residents with high school diplomas is higher at 16.0% compared to 0.0% in Peru.
- The percentage of residents with less than a high school education is higher in Sweetwater at 23.1%, compared to 0.0% in Peru.
- In Sweetwater, a larger share of residents have a bachelor's degree or higher at 7.0% compared to 0.0% in Peru.
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.