Demographics details for Gooding, ID vs Lumber bridge, NC
Population Overview
Compare main population characteristics in Gooding, ID vs Lumber bridge, NC.
| Data | Gooding | Lumber bridge |
|---|---|---|
| Population | 15,715 | 82 |
| Median Age | 38.3 years | 43.8 years |
| Median Income | $60,938 | $61,250 |
| Married Families | 40.0% | 38.0% |
| Poverty Level | 8% | 12% |
| Unemployment Rate | 2.9 | 4.6 |
Population Comparison: Gooding vs Lumber bridge
- In Gooding, the population is higher at 15,715, compared to 82 in Lumber bridge.
- The median age in Lumber bridge is higher at 43.8 years, compared to 38.3 years in Gooding.
- Lumber bridge has a higher median income of $61,250, compared to $60,938 in Gooding.
- A higher percentage of married families is found in Gooding at 40.0% compared to 38.0% in Lumber bridge.
- The poverty level is higher in Lumber bridge at 12%, compared to 8% in Gooding.
- Lumber bridge has a higher unemployment rate at 4.6% compared to 2.9% in Gooding.
Demographics
Demographics Gooding vs Lumber bridge provide insight into the diversity of the communities to compare.
| Demographic | Gooding | Lumber bridge |
|---|---|---|
| Black | Data is updating | 7 |
| White | 60 | 88 |
| Asian | Data is updating | Data is updating |
| Hispanic | 29 | Data is updating |
| Two or More Races | 9 | Data is updating |
| American Indian | 2 | 5 |
Demographics Comparison: Gooding vs Lumber bridge
- In Lumber bridge, the percentage of Black residents is higher at 7% compared to 0% in Gooding.
- The percentage of White residents is higher in Lumber bridge at 88% compared to 60% in Gooding.
- Both Gooding and Lumber bridge have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Gooding at 29% compared to 0% in Lumber bridge.
- More residents identify as two or more races in Gooding at 9% compared to 0% in Lumber bridge.
- In Lumber bridge, the percentage of American Indian residents is higher at 5%, compared to 2% in Gooding.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Gooding | Lumber bridge |
|---|---|---|
| Mental Health Not Good | 16.4% | 17.8% |
| Physical Health Not Good | 12.8% | 14.2% |
| Depression | 22.7% | 23.8% |
| Smoking | 18.0% | 23.0% |
| Binge Drinking | 15.6% | 16.2% |
| Obesity | 36.9% | 40.5% |
| Disability Percentage | 15.0% | 9.0% |
Health Statistics Comparison: Gooding vs Lumber bridge
- In Lumber bridge, a higher percentage report poor mental health at 17.8% compared to 16.4% in Gooding.
- Higher depression rates are seen in Lumber bridge at 23.8% versus 22.7% in Gooding.
- Lumber bridge has a higher smoking rate at 23.0% compared to 18.0% in Gooding.
- More residents engage in binge drinking in Lumber bridge at 16.2% compared to 15.6% in Gooding.
- Lumber bridge has higher obesity rates at 40.5% compared to 36.9% in Gooding.
- Disability percentages are higher in Gooding at 15.0% compared to 9.0% in Lumber bridge.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Gooding | Lumber bridge |
|---|---|---|
| No Schooling | 0.8% (131) | 0.0% (Data is updating) |
| High School Diploma | 19.5% (3,066) | 32.9% (27) |
| Less than High School | 26.7% (4,203) | 9.8% (8) |
| Bachelor's Degree and Higher | 10.1% (1,588) | 7.3% (6) |
Education Levels Comparison: Gooding vs Lumber bridge
- A higher percentage of residents in Gooding have no formal schooling at 0.8% compared to 0.0% in Lumber bridge.
- In Lumber bridge, the rate of residents with high school diplomas is higher at 32.9% compared to 19.5% in Gooding.
- More residents in Gooding have less than a high school education at 26.7% compared to 9.8% in Lumber bridge.
- A higher percentage of residents in Gooding hold a bachelor's degree or higher at 10.1% compared to 7.3% in Lumber bridge.
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.