Demographics details for Nampa, ID vs Forest lake, MN
Population Overview
Compare main population characteristics in Nampa, ID vs Forest lake, MN.
| Data | Nampa | Forest lake |
|---|---|---|
| Population | 110,951 | 20,857 |
| Median Age | 33.5 years | 37.9 years |
| Median Income | $67,346 | $91,157 |
| Married Families | 37.0% | 42.0% |
| Poverty Level | 10% | 6% |
| Unemployment Rate | 4.2 | 3.2 |
Population Comparison: Nampa vs Forest lake
- In Nampa, the population is higher at 110,951, compared to 20,857 in Forest lake.
- The median age in Forest lake is higher at 37.9 years, compared to 33.5 years in Nampa.
- Forest lake has a higher median income of $91,157, compared to $67,346 in Nampa.
- In Forest lake, the percentage of married families is higher at 42.0%, compared to 37.0% in Nampa.
- Nampa has a higher poverty level at 10% compared to 6% in Forest lake.
- The unemployment rate in Nampa is higher at 4.2%, compared to 3.2% in Forest lake.
Demographics
Demographics Nampa vs Forest lake provide insight into the diversity of the communities to compare.
| Demographic | Nampa | Forest lake |
|---|---|---|
| Black | 1 | 3 |
| White | 65 | 81 |
| Asian | 1 | 4 |
| Hispanic | 23 | 6 |
| Two or More Races | 9 | 6 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Nampa vs Forest lake
- In Forest lake, the percentage of Black residents is higher at 3% compared to 1% in Nampa.
- The percentage of White residents is higher in Forest lake at 81% compared to 65% in Nampa.
- In Forest lake, the Asian population stands at 4%, greater than 1% in Nampa.
- The Hispanic community is larger in Nampa at 23% compared to 6% in Forest lake.
- More residents identify as two or more races in Nampa at 9% compared to 6% in Forest lake.
- A greater percentage of American Indian residents live in Nampa at 1% compared to 0% in Forest lake.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Nampa | Forest lake |
|---|---|---|
| Mental Health Not Good | 16.8% | 14.7% |
| Physical Health Not Good | 12.2% | 8.8% |
| Depression | 24.0% | 24.1% |
| Smoking | 17.6% | 15.7% |
| Binge Drinking | 15.2% | 21.4% |
| Obesity | 36.7% | 32.9% |
| Disability Percentage | 14.0% | 10.0% |
Health Statistics Comparison: Nampa vs Forest lake
- More residents in Nampa report poor mental health at 16.8% compared to 14.7% in Forest lake.
- Higher depression rates are seen in Forest lake at 24.1% versus 24.0% in Nampa.
- Smoking is more prevalent in Nampa at 17.6% compared to 15.7% in Forest lake.
- More residents engage in binge drinking in Forest lake at 21.4% compared to 15.2% in Nampa.
- Obesity rates are higher in Nampa at 36.7% compared to 32.9% in Forest lake.
- Disability percentages are higher in Nampa at 14.0% compared to 10.0% in Forest lake.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Nampa | Forest lake |
|---|---|---|
| No Schooling | 0.9% (1,011) | 0.5% (101) |
| High School Diploma | 14.8% (16,423) | 14.6% (3,055) |
| Less than High School | 14.3% (15,852) | 7.7% (1,615) |
| Bachelor's Degree and Higher | 12.6% (13,951) | 24.6% (5,123) |
Education Levels Comparison: Nampa vs Forest lake
- A higher percentage of residents in Nampa have no formal schooling at 0.9% compared to 0.5% in Forest lake.
- A higher percentage of residents in Nampa hold a high school diploma at 14.8% compared to 14.6% in Forest lake.
- More residents in Nampa have less than a high school education at 14.3% compared to 7.7% in Forest lake.
- In Forest lake, a larger share of residents have a bachelor's degree or higher at 24.6% 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.