Demographics details for Post falls, ID vs Rayland, OH
Population Overview
Compare main population characteristics in Post falls, ID vs Rayland, OH.
Data | Post falls | Rayland |
---|---|---|
Population | 44,194 | 384 |
Median Age | 34.5 years | 48.5 years |
Median Income | $71,042 | $56,875 |
Married Families | 35.0% | 46.0% |
Poverty Level | 8% | 16% |
Unemployment Rate | 3.7 | 4.5 |
Population Comparison: Post falls vs Rayland
- In Post falls, the population is higher at 44,194, compared to 384 in Rayland.
- The median age in Rayland is higher at 48.5 years, compared to 34.5 years in Post falls.
- Post falls has a higher median income of $71,042 compared to $56,875 in Rayland.
- In Rayland, the percentage of married families is higher at 46.0%, compared to 35.0% in Post falls.
- The poverty level is higher in Rayland at 16%, compared to 8% in Post falls.
- Rayland has a higher unemployment rate at 4.5% compared to 3.7% in Post falls.
Demographics
Demographics Post falls vs Rayland provide insight into the diversity of the communities to compare.
Demographic | Post falls | Rayland |
---|---|---|
Black | Data is updating | Data is updating |
White | 87 | 98 |
Asian | Data is updating | Data is updating |
Hispanic | 5 | Data is updating |
Two or More Races | 7 | 2 |
American Indian | 1 | Data is updating |
Demographics Comparison: Post falls vs Rayland
- The percentage of Black residents is the same in both Post falls and Rayland at 0%.
- The percentage of White residents is higher in Rayland at 98% compared to 87% in Post falls.
- Both Post falls and Rayland have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Post falls at 5% compared to 0% in Rayland.
- More residents identify as two or more races in Post falls at 7% compared to 2% in Rayland.
- A greater percentage of American Indian residents live in Post falls at 1% compared to 0% in Rayland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Post falls | Rayland |
---|---|---|
Mental Health Not Good | 16.9% | 19.8% |
Physical Health Not Good | 12.3% | 13.6% |
Depression | 22.9% | 25.8% |
Smoking | 18.6% | 25.7% |
Binge Drinking | 17.6% | 18.0% |
Obesity | 29.8% | 41.8% |
Disability Percentage | 12.0% | 24.0% |
Health Statistics Comparison: Post falls vs Rayland
- In Rayland, a higher percentage report poor mental health at 19.8% compared to 16.9% in Post falls.
- Higher depression rates are seen in Rayland at 25.8% versus 22.9% in Post falls.
- Rayland has a higher smoking rate at 25.7% compared to 18.6% in Post falls.
- More residents engage in binge drinking in Rayland at 18.0% compared to 17.6% in Post falls.
- Rayland has higher obesity rates at 41.8% compared to 29.8% in Post falls.
- There is a higher percentage of disabled individuals in Rayland at 24.0% compared to 12.0% in Post falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Post falls | Rayland |
---|---|---|
No Schooling | 0.3% (121) | 1.0% (4) |
High School Diploma | 14.1% (6,217) | 35.4% (136) |
Less than High School | 7.7% (3,421) | 9.9% (38) |
Bachelor's Degree and Higher | 13.1% (5,799) | 7.3% (28) |
Education Levels Comparison: Post falls vs Rayland
- In Rayland, a larger percentage of residents lack formal schooling at 1.0% compared to 0.3% in Post falls.
- In Rayland, the rate of residents with high school diplomas is higher at 35.4% compared to 14.1% in Post falls.
- The percentage of residents with less than a high school education is higher in Rayland at 9.9%, compared to 7.7% in Post falls.
- A higher percentage of residents in Post falls hold a bachelor's degree or higher at 13.1% compared to 7.3% in Rayland.
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.