Demographics details for Two rivers, WI vs Warren, VT
Population Overview
Compare main population characteristics in Two rivers, WI vs Warren, VT.
Data | Two rivers | Warren |
---|---|---|
Population | 11,166 | 1,705 |
Median Age | 44.7 years | 41.5 years |
Median Income | $56,236 | $61,000 |
Married Families | 42.0% | 35.0% |
Poverty Level | 11% | 5% |
Unemployment Rate | 3.1 | 1.8 |
Population Comparison: Two rivers vs Warren
- In Two rivers, the population is higher at 11,166, compared to 1,705 in Warren.
- Residents in Two rivers have a higher median age of 44.7 years compared to 41.5 years in Warren.
- Warren has a higher median income of $61,000, compared to $56,236 in Two rivers.
- A higher percentage of married families is found in Two rivers at 42.0% compared to 35.0% in Warren.
- Two rivers has a higher poverty level at 11% compared to 5% in Warren.
- The unemployment rate in Two rivers is higher at 3.1%, compared to 1.8% in Warren.
Demographics
Demographics Two rivers vs Warren provide insight into the diversity of the communities to compare.
Demographic | Two rivers | Warren |
---|---|---|
Black | 2 | Data is updating |
White | 86 | 100 |
Asian | 1 | Data is updating |
Hispanic | 6 | Data is updating |
Two or More Races | 5 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Two rivers vs Warren
- A higher percentage of Black residents are in Two rivers at 2% compared to 0% in Warren.
- The percentage of White residents is higher in Warren at 100% compared to 86% in Two rivers.
- The Asian population is larger in Two rivers at 1% compared to 0% in Warren.
- The Hispanic community is larger in Two rivers at 6% compared to 0% in Warren.
- More residents identify as two or more races in Two rivers at 5% compared to 0% in Warren.
- The percentage of American Indian residents is the same in both Two rivers and Warren at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Two rivers | Warren |
---|---|---|
Mental Health Not Good | 15.7% | Data is updating% |
Physical Health Not Good | 10.8% | Data is updating% |
Depression | 24.3% | Data is updating% |
Smoking | 18.0% | Data is updating% |
Binge Drinking | 23.7% | Data is updating% |
Obesity | 36.7% | Data is updating% |
Disability Percentage | 12.0% | Data is updating% |
Health Statistics Comparison: Two rivers vs Warren
- More residents in Two rivers report poor mental health at 15.7% compared to 0.0% in Warren.
- Depression is more prevalent in Two rivers at 24.3% compared to 0.0% in Warren.
- Smoking is more prevalent in Two rivers at 18.0% compared to 0.0% in Warren.
- Binge drinking is more common in Two rivers at 23.7% compared to 0.0% in Warren.
- Obesity rates are higher in Two rivers at 36.7% compared to 0.0% in Warren.
- Disability percentages are higher in Two rivers at 12.0% compared to 0.0% in Warren.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Two rivers | Warren |
---|---|---|
No Schooling | 0.7% (83) | 0.0% (Data is updating) |
High School Diploma | 24.6% (2,745) | 0.0% (Data is updating) |
Less than High School | 8.7% (974) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 17.1% (1,912) | 0.0% (Data is updating) |
Education Levels Comparison: Two rivers vs Warren
- A higher percentage of residents in Two rivers have no formal schooling at 0.7% compared to 0.0% in Warren.
- A higher percentage of residents in Two rivers hold a high school diploma at 24.6% compared to 0.0% in Warren.
- More residents in Two rivers have less than a high school education at 8.7% compared to 0.0% in Warren.
- A higher percentage of residents in Two rivers hold a bachelor's degree or higher at 17.1% compared to 0.0% in Warren.
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.