Demographics details for Burns, KS vs Pascagoula, MS
Population Overview
Compare main population characteristics in Burns, KS vs Pascagoula, MS.
| Data | Burns | Pascagoula |
|---|---|---|
| Population | 237 | 21,650 |
| Median Age | 26.5 years | 34.8 years |
| Median Income | $43,125 | $41,679 |
| Married Families | 31.0% | 28.0% |
| Poverty Level | 14% | 16% |
| Unemployment Rate | 2.6 | 3.8 |
Population Comparison: Burns vs Pascagoula
- The population in Pascagoula is higher at 21,650, compared to 237 in Burns.
- The median age in Pascagoula is higher at 34.8 years, compared to 26.5 years in Burns.
- Burns has a higher median income of $43,125 compared to $41,679 in Pascagoula.
- A higher percentage of married families is found in Burns at 31.0% compared to 28.0% in Pascagoula.
- The poverty level is higher in Pascagoula at 16%, compared to 14% in Burns.
- Pascagoula has a higher unemployment rate at 3.8% compared to 2.6% in Burns.
Demographics
Demographics Burns vs Pascagoula provide insight into the diversity of the communities to compare.
| Demographic | Burns | Pascagoula |
|---|---|---|
| Black | Data is updating | 37 |
| White | 92 | 45 |
| Asian | Data is updating | 1 |
| Hispanic | 6 | 13 |
| Two or More Races | 2 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Burns vs Pascagoula
- In Pascagoula, the percentage of Black residents is higher at 37% compared to 0% in Burns.
- Burns has a higher percentage of White residents at 92% compared to 45% in Pascagoula.
- In Pascagoula, the Asian population stands at 1%, greater than 0% in Burns.
- Pascagoula has a higher percentage of Hispanic residents at 13%, compared to 6% in Burns.
- The percentage of residents identifying as two or more races is higher in Pascagoula at 4%, compared to 2% in Burns.
- The percentage of American Indian residents is the same in both Burns and Pascagoula at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Burns | Pascagoula |
|---|---|---|
| Mental Health Not Good | 15.5% | 17.5% |
| Physical Health Not Good | 9.6% | 13.2% |
| Depression | 21.2% | 22.5% |
| Smoking | 17.4% | 20.8% |
| Binge Drinking | 19.2% | 14.2% |
| Obesity | 36.5% | 38.9% |
| Disability Percentage | 23.0% | 16.0% |
Health Statistics Comparison: Burns vs Pascagoula
- In Pascagoula, a higher percentage report poor mental health at 17.5% compared to 15.5% in Burns.
- Higher depression rates are seen in Pascagoula at 22.5% versus 21.2% in Burns.
- Pascagoula has a higher smoking rate at 20.8% compared to 17.4% in Burns.
- Binge drinking is more common in Burns at 19.2% compared to 14.2% in Pascagoula.
- Pascagoula has higher obesity rates at 38.9% compared to 36.5% in Burns.
- Disability percentages are higher in Burns at 23.0% compared to 16.0% in Pascagoula.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Burns | Pascagoula |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.1% (237) |
| High School Diploma | 13.9% (33) | 15.1% (3,262) |
| Less than High School | 43.0% (102) | 12.2% (2,644) |
| Bachelor's Degree and Higher | 6.3% (15) | 11.6% (2,521) |
Education Levels Comparison: Burns vs Pascagoula
- In Pascagoula, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Burns.
- In Pascagoula, the rate of residents with high school diplomas is higher at 15.1% compared to 13.9% in Burns.
- More residents in Burns have less than a high school education at 43.0% compared to 12.2% in Pascagoula.
- In Pascagoula, a larger share of residents have a bachelor's degree or higher at 11.6% compared to 6.3% in Burns.
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.