Demographics details for Butler, WI vs Red river, NM
Population Overview
Compare main population characteristics in Butler, WI vs Red river, NM.
Data | Butler | Red river |
---|---|---|
Population | 1,811 | 539 |
Median Age | 38.0 years | 43.3 years |
Median Income | $65,000 | $49,479 |
Married Families | 52.0% | 27.0% |
Poverty Level | 5% | 12% |
Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Butler vs Red river
- In Butler, the population is higher at 1,811, compared to 539 in Red river.
- The median age in Red river is higher at 43.3 years, compared to 38.0 years in Butler.
- Butler has a higher median income of $65,000 compared to $49,479 in Red river.
- A higher percentage of married families is found in Butler at 52.0% compared to 27.0% in Red river.
- The poverty level is higher in Red river at 12%, compared to 5% in Butler.
- Red river has a higher unemployment rate at 4.2% compared to 3.5% in Butler.
Demographics
Demographics Butler vs Red river provide insight into the diversity of the communities to compare.
Demographic | Butler | Red river |
---|---|---|
Black | 2 | Data is updating |
White | 88 | 89 |
Asian | 5 | Data is updating |
Hispanic | 3 | 9 |
Two or More Races | 2 | 2 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Butler vs Red river
- A higher percentage of Black residents are in Butler at 2% compared to 0% in Red river.
- The percentage of White residents is higher in Red river at 89% compared to 88% in Butler.
- The Asian population is larger in Butler at 5% compared to 0% in Red river.
- Red river has a higher percentage of Hispanic residents at 9%, compared to 3% in Butler.
- Both Butler and Red river have the same percentage of residents identifying as two or more races at 2%.
- The percentage of American Indian residents is the same in both Butler and Red river at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Butler | Red river |
---|---|---|
Mental Health Not Good | Data is updating% | 16.2% |
Physical Health Not Good | Data is updating% | 10.4% |
Depression | Data is updating% | 22.0% |
Smoking | Data is updating% | 15.8% |
Binge Drinking | Data is updating% | 17.1% |
Obesity | Data is updating% | 27.1% |
Disability Percentage | Data is updating% | 17.0% |
Health Statistics Comparison: Butler vs Red river
- In Red river, a higher percentage report poor mental health at 16.2% compared to 0.0% in Butler.
- Higher depression rates are seen in Red river at 22.0% versus 0.0% in Butler.
- Red river has a higher smoking rate at 15.8% compared to 0.0% in Butler.
- More residents engage in binge drinking in Red river at 17.1% compared to 0.0% in Butler.
- Red river has higher obesity rates at 27.1% compared to 0.0% in Butler.
- There is a higher percentage of disabled individuals in Red river at 17.0% compared to 0.0% in Butler.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Butler | Red river |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 0.0% (Data is updating) | 5.9% (32) |
Less than High School | 0.0% (Data is updating) | 6.7% (36) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 26.2% (141) |
Education Levels Comparison: Butler vs Red river
- The percentage of residents with no formal schooling is the same in both Butler and Red river at 0.0%.
- In Red river, the rate of residents with high school diplomas is higher at 5.9% compared to 0.0% in Butler.
- The percentage of residents with less than a high school education is higher in Red river at 6.7%, compared to 0.0% in Butler.
- In Red river, a larger share of residents have a bachelor's degree or higher at 26.2% compared to 0.0% in Butler.
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.