Demographics details for Gooding, ID vs Saint marys, WV
Population Overview
Compare main population characteristics in Gooding, ID vs Saint marys, WV.
Data | Gooding | Saint marys |
---|---|---|
Population | 15,715 | 1,808 |
Median Age | 38.3 years | 40.5 years |
Median Income | $60,938 | $53,125 |
Married Families | 40.0% | 52.0% |
Poverty Level | 8% | 11% |
Unemployment Rate | 2.9 | 4.3 |
Population Comparison: Gooding vs Saint marys
- In Gooding, the population is higher at 15,715, compared to 1,808 in Saint marys.
- The median age in Saint marys is higher at 40.5 years, compared to 38.3 years in Gooding.
- Gooding has a higher median income of $60,938 compared to $53,125 in Saint marys.
- In Saint marys, the percentage of married families is higher at 52.0%, compared to 40.0% in Gooding.
- The poverty level is higher in Saint marys at 11%, compared to 8% in Gooding.
- Saint marys has a higher unemployment rate at 4.3% compared to 2.9% in Gooding.
Demographics
Demographics Gooding vs Saint marys provide insight into the diversity of the communities to compare.
Demographic | Gooding | Saint marys |
---|---|---|
Black | Data is updating | Data is updating |
White | 60 | 91 |
Asian | Data is updating | Data is updating |
Hispanic | 29 | 4 |
Two or More Races | 9 | 5 |
American Indian | 2 | Data is updating |
Demographics Comparison: Gooding vs Saint marys
- The percentage of Black residents is the same in both Gooding and Saint marys at 0%.
- The percentage of White residents is higher in Saint marys at 91% compared to 60% in Gooding.
- Both Gooding and Saint marys have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Gooding at 29% compared to 4% in Saint marys.
- More residents identify as two or more races in Gooding at 9% compared to 5% in Saint marys.
- A greater percentage of American Indian residents live in Gooding at 2% compared to 0% in Saint marys.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Gooding | Saint marys |
---|---|---|
Mental Health Not Good | 16.4% | 20.2% |
Physical Health Not Good | 12.8% | 14.0% |
Depression | 22.7% | 28.5% |
Smoking | 18.0% | 22.0% |
Binge Drinking | 15.6% | 14.5% |
Obesity | 36.9% | 44.3% |
Disability Percentage | 15.0% | 21.0% |
Health Statistics Comparison: Gooding vs Saint marys
- In Saint marys, a higher percentage report poor mental health at 20.2% compared to 16.4% in Gooding.
- Higher depression rates are seen in Saint marys at 28.5% versus 22.7% in Gooding.
- Saint marys has a higher smoking rate at 22.0% compared to 18.0% in Gooding.
- Binge drinking is more common in Gooding at 15.6% compared to 14.5% in Saint marys.
- Saint marys has higher obesity rates at 44.3% compared to 36.9% in Gooding.
- There is a higher percentage of disabled individuals in Saint marys at 21.0% 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 | Saint marys |
---|---|---|
No Schooling | 0.8% (131) | 0.0% (Data is updating) |
High School Diploma | 19.5% (3,066) | 34.4% (622) |
Less than High School | 26.7% (4,203) | 15.7% (284) |
Bachelor's Degree and Higher | 10.1% (1,588) | 15.0% (272) |
Education Levels Comparison: Gooding vs Saint marys
- A higher percentage of residents in Gooding have no formal schooling at 0.8% compared to 0.0% in Saint marys.
- In Saint marys, the rate of residents with high school diplomas is higher at 34.4% compared to 19.5% in Gooding.
- More residents in Gooding have less than a high school education at 26.7% compared to 15.7% in Saint marys.
- In Saint marys, a larger share of residents have a bachelor's degree or higher at 15.0% 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.