Demographics details for Union city, GA vs Nampa, ID
Population Overview
Compare main population characteristics in Union city, GA vs Nampa, ID.
| Data | Union city | Nampa |
|---|---|---|
| Population | 27,895 | 110,951 |
| Median Age | 32.7 years | 33.5 years |
| Median Income | $46,696 | $67,346 |
| Married Families | 17.0% | 37.0% |
| Poverty Level | 16% | 10% |
| Unemployment Rate | 6.1 | 4.2 |
Population Comparison: Union city vs Nampa
- The population in Nampa is higher at 110,951, compared to 27,895 in Union city.
- The median age in Nampa is higher at 33.5 years, compared to 32.7 years in Union city.
- Nampa has a higher median income of $67,346, compared to $46,696 in Union city.
- In Nampa, the percentage of married families is higher at 37.0%, compared to 17.0% in Union city.
- Union city has a higher poverty level at 16% compared to 10% in Nampa.
- The unemployment rate in Union city is higher at 6.1%, compared to 4.2% in Nampa.
Demographics
Demographics Union city vs Nampa provide insight into the diversity of the communities to compare.
| Demographic | Union city | Nampa |
|---|---|---|
| Black | 85 | 1 |
| White | 6 | 65 |
| Asian | Data is updating | 1 |
| Hispanic | 5 | 23 |
| Two or More Races | 4 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Union city vs Nampa
- A higher percentage of Black residents are in Union city at 85% compared to 1% in Nampa.
- The percentage of White residents is higher in Nampa at 65% compared to 6% in Union city.
- In Nampa, the Asian population stands at 1%, greater than 0% in Union city.
- Nampa has a higher percentage of Hispanic residents at 23%, compared to 5% in Union city.
- The percentage of residents identifying as two or more races is higher in Nampa at 9%, compared to 4% in Union city.
- In Nampa, the percentage of American Indian residents is higher at 1%, compared to 0% in Union city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Union city | Nampa |
|---|---|---|
| Mental Health Not Good | 16.7% | 16.8% |
| Physical Health Not Good | 12.2% | 12.2% |
| Depression | 17.2% | 24.0% |
| Smoking | 18.0% | 17.6% |
| Binge Drinking | 13.5% | 15.2% |
| Obesity | 36.6% | 36.7% |
| Disability Percentage | 12.0% | 14.0% |
Health Statistics Comparison: Union city vs Nampa
- In Nampa, a higher percentage report poor mental health at 16.8% compared to 16.7% in Union city.
- Higher depression rates are seen in Nampa at 24.0% versus 17.2% in Union city.
- Smoking is more prevalent in Union city at 18.0% compared to 17.6% in Nampa.
- More residents engage in binge drinking in Nampa at 15.2% compared to 13.5% in Union city.
- Nampa has higher obesity rates at 36.7% compared to 36.6% in Union city.
- There is a higher percentage of disabled individuals in Nampa at 14.0% compared to 12.0% in Union city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Union city | Nampa |
|---|---|---|
| No Schooling | 0.5% (129) | 0.9% (1,011) |
| High School Diploma | 13.2% (3,681) | 14.8% (16,423) |
| Less than High School | 7.8% (2,166) | 14.3% (15,852) |
| Bachelor's Degree and Higher | 17.3% (4,828) | 12.6% (13,951) |
Education Levels Comparison: Union city vs Nampa
- In Nampa, a larger percentage of residents lack formal schooling at 0.9% compared to 0.5% in Union city.
- In Nampa, the rate of residents with high school diplomas is higher at 14.8% compared to 13.2% in Union city.
- The percentage of residents with less than a high school education is higher in Nampa at 14.3%, compared to 7.8% in Union city.
- A higher percentage of residents in Union city hold a bachelor's degree or higher at 17.3% compared to 12.6% in Nampa.
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.