Demographics details for Nampa, ID vs Williamsport, PA
Population Overview
Compare main population characteristics in Nampa, ID vs Williamsport, PA.
| Data | Nampa | Williamsport |
|---|---|---|
| Population | 110,951 | 27,403 |
| Median Age | 33.5 years | 30.3 years |
| Median Income | $67,346 | $48,388 |
| Married Families | 37.0% | 24.0% |
| Poverty Level | 10% | 16% |
| Unemployment Rate | 4.2 | 4.1 |
Population Comparison: Nampa vs Williamsport
- In Nampa, the population is higher at 110,951, compared to 27,403 in Williamsport.
- Residents in Nampa have a higher median age of 33.5 years compared to 30.3 years in Williamsport.
- Nampa has a higher median income of $67,346 compared to $48,388 in Williamsport.
- A higher percentage of married families is found in Nampa at 37.0% compared to 24.0% in Williamsport.
- The poverty level is higher in Williamsport at 16%, compared to 10% in Nampa.
- The unemployment rate in Nampa is higher at 4.2%, compared to 4.1% in Williamsport.
Demographics
Demographics Nampa vs Williamsport provide insight into the diversity of the communities to compare.
| Demographic | Nampa | Williamsport |
|---|---|---|
| Black | 1 | 14 |
| White | 65 | 75 |
| Asian | 1 | 1 |
| Hispanic | 23 | 3 |
| Two or More Races | 9 | 6 |
| American Indian | 1 | 1 |
Demographics Comparison: Nampa vs Williamsport
- In Williamsport, the percentage of Black residents is higher at 14% compared to 1% in Nampa.
- The percentage of White residents is higher in Williamsport at 75% compared to 65% in Nampa.
- Both Nampa and Williamsport have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Nampa at 23% compared to 3% in Williamsport.
- More residents identify as two or more races in Nampa at 9% compared to 6% in Williamsport.
- The percentage of American Indian residents is the same in both Nampa and Williamsport at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Nampa | Williamsport |
|---|---|---|
| Mental Health Not Good | 16.8% | 18.9% |
| Physical Health Not Good | 12.2% | 13.7% |
| Depression | 24.0% | 24.6% |
| Smoking | 17.6% | 22.7% |
| Binge Drinking | 15.2% | 16.2% |
| Obesity | 36.7% | 40.4% |
| Disability Percentage | 14.0% | 18.0% |
Health Statistics Comparison: Nampa vs Williamsport
- In Williamsport, a higher percentage report poor mental health at 18.9% compared to 16.8% in Nampa.
- Higher depression rates are seen in Williamsport at 24.6% versus 24.0% in Nampa.
- Williamsport has a higher smoking rate at 22.7% compared to 17.6% in Nampa.
- More residents engage in binge drinking in Williamsport at 16.2% compared to 15.2% in Nampa.
- Williamsport has higher obesity rates at 40.4% compared to 36.7% in Nampa.
- There is a higher percentage of disabled individuals in Williamsport at 18.0% compared to 14.0% in Nampa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Nampa | Williamsport |
|---|---|---|
| No Schooling | 0.9% (1,011) | 0.7% (186) |
| High School Diploma | 14.8% (16,423) | 16.4% (4,487) |
| Less than High School | 14.3% (15,852) | 12.8% (3,507) |
| Bachelor's Degree and Higher | 12.6% (13,951) | 16.1% (4,416) |
Education Levels Comparison: Nampa vs Williamsport
- A higher percentage of residents in Nampa have no formal schooling at 0.9% compared to 0.7% in Williamsport.
- In Williamsport, the rate of residents with high school diplomas is higher at 16.4% compared to 14.8% in Nampa.
- More residents in Nampa have less than a high school education at 14.3% compared to 12.8% in Williamsport.
- In Williamsport, a larger share of residents have a bachelor's degree or higher at 16.1% 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.