Demographics details for Bowie, TX vs New haven, MO
Population Overview
Compare main population characteristics in Bowie, TX vs New haven, MO.
Data | Bowie | New haven |
---|---|---|
Population | 5,738 | 2,409 |
Median Age | 36.4 years | 31.2 years |
Median Income | $60,659 | $66,410 |
Married Families | 38.0% | 60.0% |
Poverty Level | 10% | 10% |
Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Bowie vs New haven
- In Bowie, the population is higher at 5,738, compared to 2,409 in New haven.
- Residents in Bowie have a higher median age of 36.4 years compared to 31.2 years in New haven.
- New haven has a higher median income of $66,410, compared to $60,659 in Bowie.
- In New haven, the percentage of married families is higher at 60.0%, compared to 38.0% in Bowie.
- The poverty level is identical in both Bowie and New haven at 10%.
- The unemployment rate in Bowie is higher at 3.5%, compared to 2.5% in New haven.
Demographics
Demographics Bowie vs New haven provide insight into the diversity of the communities to compare.
Demographic | Bowie | New haven |
---|---|---|
Black | 1 | 1 |
White | 86 | 76 |
Asian | Data is updating | Data is updating |
Hispanic | 7 | 12 |
Two or More Races | 5 | 11 |
American Indian | 1 | Data is updating |
Demographics Comparison: Bowie vs New haven
- The percentage of Black residents is the same in both Bowie and New haven at 1%.
- Bowie has a higher percentage of White residents at 86% compared to 76% in New haven.
- Both Bowie and New haven have the same percentage of Asian residents at 0%.
- New haven has a higher percentage of Hispanic residents at 12%, compared to 7% in Bowie.
- The percentage of residents identifying as two or more races is higher in New haven at 11%, compared to 5% in Bowie.
- A greater percentage of American Indian residents live in Bowie at 1% compared to 0% in New haven.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Bowie | New haven |
---|---|---|
Mental Health Not Good | 19.0% | 16.7% |
Physical Health Not Good | 12.7% | 10.8% |
Depression | 26.3% | 24.7% |
Smoking | 19.7% | 18.0% |
Binge Drinking | 18.5% | 20.0% |
Obesity | 36.9% | 36.6% |
Disability Percentage | 13.0% | 24.0% |
Health Statistics Comparison: Bowie vs New haven
- More residents in Bowie report poor mental health at 19.0% compared to 16.7% in New haven.
- Depression is more prevalent in Bowie at 26.3% compared to 24.7% in New haven.
- Smoking is more prevalent in Bowie at 19.7% compared to 18.0% in New haven.
- More residents engage in binge drinking in New haven at 20.0% compared to 18.5% in Bowie.
- Obesity rates are higher in Bowie at 36.9% compared to 36.6% in New haven.
- There is a higher percentage of disabled individuals in New haven at 24.0% compared to 13.0% in Bowie.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Bowie | New haven |
---|---|---|
No Schooling | 1.5% (86) | 0.2% (5) |
High School Diploma | 28.0% (1,609) | 19.7% (475) |
Less than High School | 14.2% (812) | 12.2% (293) |
Bachelor's Degree and Higher | 9.3% (536) | 24.8% (598) |
Education Levels Comparison: Bowie vs New haven
- A higher percentage of residents in Bowie have no formal schooling at 1.5% compared to 0.2% in New haven.
- A higher percentage of residents in Bowie hold a high school diploma at 28.0% compared to 19.7% in New haven.
- More residents in Bowie have less than a high school education at 14.2% compared to 12.2% in New haven.
- In New haven, a larger share of residents have a bachelor's degree or higher at 24.8% compared to 9.3% in Bowie.
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.