Demographics details for Mountain home, ID vs Woodbine, NJ
Population Overview
Compare main population characteristics in Mountain home, ID vs Woodbine, NJ.
Data | Mountain home | Woodbine |
---|---|---|
Population | 16,469 | 2,142 |
Median Age | 31.3 years | 46.8 years |
Median Income | $53,108 | $41,167 |
Married Families | 36.0% | 29.0% |
Poverty Level | 12% | 8% |
Unemployment Rate | 3.1 | 4.5 |
Population Comparison: Mountain home vs Woodbine
- In Mountain home, the population is higher at 16,469, compared to 2,142 in Woodbine.
- The median age in Woodbine is higher at 46.8 years, compared to 31.3 years in Mountain home.
- Mountain home has a higher median income of $53,108 compared to $41,167 in Woodbine.
- A higher percentage of married families is found in Mountain home at 36.0% compared to 29.0% in Woodbine.
- Mountain home has a higher poverty level at 12% compared to 8% in Woodbine.
- Woodbine has a higher unemployment rate at 4.5% compared to 3.1% in Mountain home.
Demographics
Demographics Mountain home vs Woodbine provide insight into the diversity of the communities to compare.
Demographic | Mountain home | Woodbine |
---|---|---|
Black | 2 | 23 |
White | 69 | 27 |
Asian | 4 | Data is updating |
Hispanic | 14 | 30 |
Two or More Races | 9 | 20 |
American Indian | 2 | Data is updating |
Demographics Comparison: Mountain home vs Woodbine
- In Woodbine, the percentage of Black residents is higher at 23% compared to 2% in Mountain home.
- Mountain home has a higher percentage of White residents at 69% compared to 27% in Woodbine.
- The Asian population is larger in Mountain home at 4% compared to 0% in Woodbine.
- Woodbine has a higher percentage of Hispanic residents at 30%, compared to 14% in Mountain home.
- The percentage of residents identifying as two or more races is higher in Woodbine at 20%, compared to 9% in Mountain home.
- A greater percentage of American Indian residents live in Mountain home at 2% compared to 0% in Woodbine.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mountain home | Woodbine |
---|---|---|
Mental Health Not Good | 16.9% | 20.4% |
Physical Health Not Good | 12.6% | 17.4% |
Depression | 22.4% | 24.0% |
Smoking | 18.3% | 27.6% |
Binge Drinking | 15.8% | 16.0% |
Obesity | 36.1% | 41.6% |
Disability Percentage | 18.0% | 37.0% |
Health Statistics Comparison: Mountain home vs Woodbine
- In Woodbine, a higher percentage report poor mental health at 20.4% compared to 16.9% in Mountain home.
- Higher depression rates are seen in Woodbine at 24.0% versus 22.4% in Mountain home.
- Woodbine has a higher smoking rate at 27.6% compared to 18.3% in Mountain home.
- More residents engage in binge drinking in Woodbine at 16.0% compared to 15.8% in Mountain home.
- Woodbine has higher obesity rates at 41.6% compared to 36.1% in Mountain home.
- There is a higher percentage of disabled individuals in Woodbine at 37.0% compared to 18.0% in Mountain home.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mountain home | Woodbine |
---|---|---|
No Schooling | 1.7% (273) | 13.4% (288) |
High School Diploma | 16.3% (2,690) | 24.9% (534) |
Less than High School | 12.8% (2,116) | 44.6% (956) |
Bachelor's Degree and Higher | 10.4% (1,720) | 5.3% (113) |
Education Levels Comparison: Mountain home vs Woodbine
- In Woodbine, a larger percentage of residents lack formal schooling at 13.4% compared to 1.7% in Mountain home.
- In Woodbine, the rate of residents with high school diplomas is higher at 24.9% compared to 16.3% in Mountain home.
- The percentage of residents with less than a high school education is higher in Woodbine at 44.6%, compared to 12.8% in Mountain home.
- A higher percentage of residents in Mountain home hold a bachelor's degree or higher at 10.4% compared to 5.3% in Woodbine.
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.