Demographics details for Gautier, MS vs Broken bow, NE
Population Overview
Compare main population characteristics in Gautier, MS vs Broken bow, NE.
| Data | Gautier | Broken bow |
|---|---|---|
| Population | 18,977 | 3,474 |
| Median Age | 40.4 years | 41.4 years |
| Median Income | $57,757 | $49,425 |
| Married Families | 38.0% | 40.0% |
| Poverty Level | 11% | 11% |
| Unemployment Rate | 3.8 | 2.5 |
Population Comparison: Gautier vs Broken bow
- In Gautier, the population is higher at 18,977, compared to 3,474 in Broken bow.
- The median age in Broken bow is higher at 41.4 years, compared to 40.4 years in Gautier.
- Gautier has a higher median income of $57,757 compared to $49,425 in Broken bow.
- In Broken bow, the percentage of married families is higher at 40.0%, compared to 38.0% in Gautier.
- The poverty level is identical in both Gautier and Broken bow at 11%.
- The unemployment rate in Gautier is higher at 3.8%, compared to 2.5% in Broken bow.
Demographics
Demographics Gautier vs Broken bow provide insight into the diversity of the communities to compare.
| Demographic | Gautier | Broken bow |
|---|---|---|
| Black | 36 | 2 |
| White | 45 | 88 |
| Asian | 2 | Data is updating |
| Hispanic | 12 | 6 |
| Two or More Races | 4 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Gautier vs Broken bow
- A higher percentage of Black residents are in Gautier at 36% compared to 2% in Broken bow.
- The percentage of White residents is higher in Broken bow at 88% compared to 45% in Gautier.
- The Asian population is larger in Gautier at 2% compared to 0% in Broken bow.
- The Hispanic community is larger in Gautier at 12% compared to 6% in Broken bow.
- Both Gautier and Broken bow have the same percentage of residents identifying as two or more races at 4%.
- A greater percentage of American Indian residents live in Gautier at 1% compared to 0% in Broken bow.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gautier | Broken bow |
|---|---|---|
| Mental Health Not Good | 16.3% | 14.2% |
| Physical Health Not Good | 11.4% | 10.0% |
| Depression | 22.2% | 17.1% |
| Smoking | 17.6% | 16.3% |
| Binge Drinking | 15.1% | 20.7% |
| Obesity | 35.9% | 38.2% |
| Disability Percentage | 18.0% | 19.0% |
Health Statistics Comparison: Gautier vs Broken bow
- More residents in Gautier report poor mental health at 16.3% compared to 14.2% in Broken bow.
- Depression is more prevalent in Gautier at 22.2% compared to 17.1% in Broken bow.
- Smoking is more prevalent in Gautier at 17.6% compared to 16.3% in Broken bow.
- More residents engage in binge drinking in Broken bow at 20.7% compared to 15.1% in Gautier.
- Broken bow has higher obesity rates at 38.2% compared to 35.9% in Gautier.
- There is a higher percentage of disabled individuals in Broken bow at 19.0% compared to 18.0% in Gautier.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Gautier | Broken bow |
|---|---|---|
| No Schooling | 1.6% (309) | 1.2% (42) |
| High School Diploma | 13.5% (2,553) | 19.8% (689) |
| Less than High School | 13.2% (2,502) | 7.3% (253) |
| Bachelor's Degree and Higher | 15.3% (2,898) | 14.7% (512) |
Education Levels Comparison: Gautier vs Broken bow
- A higher percentage of residents in Gautier have no formal schooling at 1.6% compared to 1.2% in Broken bow.
- In Broken bow, the rate of residents with high school diplomas is higher at 19.8% compared to 13.5% in Gautier.
- More residents in Gautier have less than a high school education at 13.2% compared to 7.3% in Broken bow.
- A higher percentage of residents in Gautier hold a bachelor's degree or higher at 15.3% compared to 14.7% in Broken bow.
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.