Demographics details for Mound valley, KS vs Rayne, LA
Population Overview
Compare main population characteristics in Mound valley, KS vs Rayne, LA.
Data | Mound valley | Rayne |
---|---|---|
Population | 348 | 7,040 |
Median Age | 42.5 years | 35.4 years |
Median Income | $52,500 | $34,725 |
Married Families | 32.0% | 32.0% |
Poverty Level | 12% | 24% |
Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Mound valley vs Rayne
- The population in Rayne is higher at 7,040, compared to 348 in Mound valley.
- Residents in Mound valley have a higher median age of 42.5 years compared to 35.4 years in Rayne.
- Mound valley has a higher median income of $52,500 compared to $34,725 in Rayne.
- The percentage of married families is the same in both Mound valley and Rayne at 32.0%.
- The poverty level is higher in Rayne at 24%, compared to 12% in Mound valley.
- Rayne has a higher unemployment rate at 4.5% compared to 3.5% in Mound valley.
Demographics
Demographics Mound valley vs Rayne provide insight into the diversity of the communities to compare.
Demographic | Mound valley | Rayne |
---|---|---|
Black | Data is updating | 46 |
White | 85 | 47 |
Asian | Data is updating | Data is updating |
Hispanic | 5 | 2 |
Two or More Races | 9 | 5 |
American Indian | 1 | Data is updating |
Demographics Comparison: Mound valley vs Rayne
- In Rayne, the percentage of Black residents is higher at 46% compared to 0% in Mound valley.
- Mound valley has a higher percentage of White residents at 85% compared to 47% in Rayne.
- Both Mound valley and Rayne have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Mound valley at 5% compared to 2% in Rayne.
- More residents identify as two or more races in Mound valley at 9% compared to 5% in Rayne.
- A greater percentage of American Indian residents live in Mound valley at 1% compared to 0% in Rayne.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mound valley | Rayne |
---|---|---|
Mental Health Not Good | 17.1% | 21.9% |
Physical Health Not Good | 11.1% | 15.6% |
Depression | 21.9% | 29.6% |
Smoking | 19.8% | 26.8% |
Binge Drinking | 19.1% | 17.4% |
Obesity | 41.6% | 41.8% |
Disability Percentage | 27.0% | 25.0% |
Health Statistics Comparison: Mound valley vs Rayne
- In Rayne, a higher percentage report poor mental health at 21.9% compared to 17.1% in Mound valley.
- Higher depression rates are seen in Rayne at 29.6% versus 21.9% in Mound valley.
- Rayne has a higher smoking rate at 26.8% compared to 19.8% in Mound valley.
- Binge drinking is more common in Mound valley at 19.1% compared to 17.4% in Rayne.
- Rayne has higher obesity rates at 41.8% compared to 41.6% in Mound valley.
- Disability percentages are higher in Mound valley at 27.0% compared to 25.0% in Rayne.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mound valley | Rayne |
---|---|---|
No Schooling | 0.3% (1) | 1.6% (116) |
High School Diploma | 14.1% (49) | 26.0% (1,832) |
Less than High School | 10.3% (36) | 25.8% (1,813) |
Bachelor's Degree and Higher | 6.6% (23) | 5.8% (406) |
Education Levels Comparison: Mound valley vs Rayne
- In Rayne, a larger percentage of residents lack formal schooling at 1.6% compared to 0.3% in Mound valley.
- In Rayne, the rate of residents with high school diplomas is higher at 26.0% compared to 14.1% in Mound valley.
- The percentage of residents with less than a high school education is higher in Rayne at 25.8%, compared to 10.3% in Mound valley.
- A higher percentage of residents in Mound valley hold a bachelor's degree or higher at 6.6% compared to 5.8% in Rayne.
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.