Demographics details for Gooding, ID vs Mount orab, OH
Population Overview
Compare main population characteristics in Gooding, ID vs Mount orab, OH.
| Data | Gooding | Mount orab |
|---|---|---|
| Population | 15,715 | 4,337 |
| Median Age | 38.3 years | 30.4 years |
| Median Income | $60,938 | $62,833 |
| Married Families | 40.0% | 37.0% |
| Poverty Level | 8% | 10% |
| Unemployment Rate | 2.9 | 4.5 |
Population Comparison: Gooding vs Mount orab
- In Gooding, the population is higher at 15,715, compared to 4,337 in Mount orab.
- Residents in Gooding have a higher median age of 38.3 years compared to 30.4 years in Mount orab.
- Mount orab has a higher median income of $62,833, compared to $60,938 in Gooding.
- A higher percentage of married families is found in Gooding at 40.0% compared to 37.0% in Mount orab.
- The poverty level is higher in Mount orab at 10%, compared to 8% in Gooding.
- Mount orab has a higher unemployment rate at 4.5% compared to 2.9% in Gooding.
Demographics
Demographics Gooding vs Mount orab provide insight into the diversity of the communities to compare.
| Demographic | Gooding | Mount orab |
|---|---|---|
| Black | Data is updating | 1 |
| White | 60 | 98 |
| Asian | Data is updating | Data is updating |
| Hispanic | 29 | Data is updating |
| Two or More Races | 9 | 1 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Gooding vs Mount orab
- In Mount orab, the percentage of Black residents is higher at 1% compared to 0% in Gooding.
- The percentage of White residents is higher in Mount orab at 98% compared to 60% in Gooding.
- Both Gooding and Mount orab have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Gooding at 29% compared to 0% in Mount orab.
- More residents identify as two or more races in Gooding at 9% compared to 1% in Mount orab.
- A greater percentage of American Indian residents live in Gooding at 2% compared to 0% in Mount orab.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gooding | Mount orab |
|---|---|---|
| Mental Health Not Good | 16.4% | 18.3% |
| Physical Health Not Good | 12.8% | 12.8% |
| Depression | 22.7% | 25.7% |
| Smoking | 18.0% | 22.9% |
| Binge Drinking | 15.6% | 18.6% |
| Obesity | 36.9% | 42.0% |
| Disability Percentage | 15.0% | 16.0% |
Health Statistics Comparison: Gooding vs Mount orab
- In Mount orab, a higher percentage report poor mental health at 18.3% compared to 16.4% in Gooding.
- Higher depression rates are seen in Mount orab at 25.7% versus 22.7% in Gooding.
- Mount orab has a higher smoking rate at 22.9% compared to 18.0% in Gooding.
- More residents engage in binge drinking in Mount orab at 18.6% compared to 15.6% in Gooding.
- Mount orab has higher obesity rates at 42.0% compared to 36.9% in Gooding.
- There is a higher percentage of disabled individuals in Mount orab at 16.0% compared to 15.0% in Gooding.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Gooding | Mount orab |
|---|---|---|
| No Schooling | 0.8% (131) | 0.8% (36) |
| High School Diploma | 19.5% (3,066) | 23.9% (1,037) |
| Less than High School | 26.7% (4,203) | 25.7% (1,116) |
| Bachelor's Degree and Higher | 10.1% (1,588) | 11.0% (479) |
Education Levels Comparison: Gooding vs Mount orab
- The percentage of residents with no formal schooling is the same in both Gooding and Mount orab at 0.8%.
- In Mount orab, the rate of residents with high school diplomas is higher at 23.9% compared to 19.5% in Gooding.
- More residents in Gooding have less than a high school education at 26.7% compared to 25.7% in Mount orab.
- In Mount orab, a larger share of residents have a bachelor's degree or higher at 11.0% compared to 10.1% in Gooding.
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.