Demographics details for Maynard, IA vs Mountain home, ID
Population Overview
Compare main population characteristics in Maynard, IA vs Mountain home, ID.
Data | Maynard | Mountain home |
---|---|---|
Population | 470 | 16,469 |
Median Age | 48.6 years | 31.3 years |
Median Income | $44,091 | $53,108 |
Married Families | 41.0% | 36.0% |
Poverty Level | Data is updating | 12% |
Unemployment Rate | Data is updating | 3.1 |
Population Comparison: Maynard vs Mountain home
- The population in Mountain home is higher at 16,469, compared to 470 in Maynard.
- Residents in Maynard have a higher median age of 48.6 years compared to 31.3 years in Mountain home.
- Mountain home has a higher median income of $53,108, compared to $44,091 in Maynard.
- A higher percentage of married families is found in Maynard at 41.0% compared to 36.0% in Mountain home.
- The poverty level is higher in Mountain home at 12%, compared to 0% in Maynard.
- Mountain home has a higher unemployment rate at 3.1% compared to 0.0% in Maynard.
Demographics
Demographics Maynard vs Mountain home provide insight into the diversity of the communities to compare.
Demographic | Maynard | Mountain home |
---|---|---|
Black | Data is updating | 2 |
White | 96 | 69 |
Asian | Data is updating | 4 |
Hispanic | 3 | 14 |
Two or More Races | 1 | 9 |
American Indian | Data is updating | 2 |
Demographics Comparison: Maynard vs Mountain home
- In Mountain home, the percentage of Black residents is higher at 2% compared to 0% in Maynard.
- Maynard has a higher percentage of White residents at 96% compared to 69% in Mountain home.
- In Mountain home, the Asian population stands at 4%, greater than 0% in Maynard.
- Mountain home has a higher percentage of Hispanic residents at 14%, compared to 3% in Maynard.
- The percentage of residents identifying as two or more races is higher in Mountain home at 9%, compared to 1% in Maynard.
- In Mountain home, the percentage of American Indian residents is higher at 2%, compared to 0% in Maynard.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Maynard | Mountain home |
---|---|---|
Mental Health Not Good | 15.6% | 16.9% |
Physical Health Not Good | 9.6% | 12.6% |
Depression | 18.9% | 22.4% |
Smoking | 17.4% | 18.3% |
Binge Drinking | 21.7% | 15.8% |
Obesity | 39.7% | 36.1% |
Disability Percentage | 11.0% | 18.0% |
Health Statistics Comparison: Maynard vs Mountain home
- In Mountain home, a higher percentage report poor mental health at 16.9% compared to 15.6% in Maynard.
- Higher depression rates are seen in Mountain home at 22.4% versus 18.9% in Maynard.
- Mountain home has a higher smoking rate at 18.3% compared to 17.4% in Maynard.
- Binge drinking is more common in Maynard at 21.7% compared to 15.8% in Mountain home.
- Obesity rates are higher in Maynard at 39.7% compared to 36.1% in Mountain home.
- There is a higher percentage of disabled individuals in Mountain home at 18.0% compared to 11.0% in Maynard.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Maynard | Mountain home |
---|---|---|
No Schooling | 0.9% (4) | 1.7% (273) |
High School Diploma | 19.4% (91) | 16.3% (2,690) |
Less than High School | 9.8% (46) | 12.8% (2,116) |
Bachelor's Degree and Higher | 16.4% (77) | 10.4% (1,720) |
Education Levels Comparison: Maynard vs Mountain home
- In Mountain home, a larger percentage of residents lack formal schooling at 1.7% compared to 0.9% in Maynard.
- A higher percentage of residents in Maynard hold a high school diploma at 19.4% compared to 16.3% in Mountain home.
- The percentage of residents with less than a high school education is higher in Mountain home at 12.8%, compared to 9.8% in Maynard.
- A higher percentage of residents in Maynard hold a bachelor's degree or higher at 16.4% compared to 10.4% in Mountain home.
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.