Demographics details for Little falls, MN vs Nampa, ID
Population Overview
Compare main population characteristics in Little falls, MN vs Nampa, ID.
| Data | Little falls | Nampa |
|---|---|---|
| Population | 9,094 | 110,951 |
| Median Age | 40.8 years | 33.5 years |
| Median Income | $44,455 | $67,346 |
| Married Families | 34.0% | 37.0% |
| Poverty Level | 11% | 10% |
| Unemployment Rate | 4.2 | 4.2 |
Population Comparison: Little falls vs Nampa
- The population in Nampa is higher at 110,951, compared to 9,094 in Little falls.
- Residents in Little falls have a higher median age of 40.8 years compared to 33.5 years in Nampa.
- Nampa has a higher median income of $67,346, compared to $44,455 in Little falls.
- In Nampa, the percentage of married families is higher at 37.0%, compared to 34.0% in Little falls.
- Little falls has a higher poverty level at 11% compared to 10% in Nampa.
- The unemployment rate is the same in both Little falls and Nampa at 4.2%.
Demographics
Demographics Little falls vs Nampa provide insight into the diversity of the communities to compare.
| Demographic | Little falls | Nampa |
|---|---|---|
| Black | Data is updating | 1 |
| White | 95 | 65 |
| Asian | 1 | 1 |
| Hispanic | 1 | 23 |
| Two or More Races | 3 | 9 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Little falls vs Nampa
- In Nampa, the percentage of Black residents is higher at 1% compared to 0% in Little falls.
- Little falls has a higher percentage of White residents at 95% compared to 65% in Nampa.
- Both Little falls and Nampa have the same percentage of Asian residents at 1%.
- Nampa has a higher percentage of Hispanic residents at 23%, compared to 1% in Little falls.
- The percentage of residents identifying as two or more races is higher in Nampa at 9%, compared to 3% in Little falls.
- In Nampa, the percentage of American Indian residents is higher at 1%, compared to 0% in Little falls.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Little falls | Nampa |
|---|---|---|
| Mental Health Not Good | 16.6% | 16.8% |
| Physical Health Not Good | 10.9% | 12.2% |
| Depression | 25.0% | 24.0% |
| Smoking | 22.3% | 17.6% |
| Binge Drinking | 20.6% | 15.2% |
| Obesity | 38.5% | 36.7% |
| Disability Percentage | 17.0% | 14.0% |
Health Statistics Comparison: Little falls vs Nampa
- In Nampa, a higher percentage report poor mental health at 16.8% compared to 16.6% in Little falls.
- Depression is more prevalent in Little falls at 25.0% compared to 24.0% in Nampa.
- Smoking is more prevalent in Little falls at 22.3% compared to 17.6% in Nampa.
- Binge drinking is more common in Little falls at 20.6% compared to 15.2% in Nampa.
- Obesity rates are higher in Little falls at 38.5% compared to 36.7% in Nampa.
- Disability percentages are higher in Little falls at 17.0% 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 | Little falls | Nampa |
|---|---|---|
| No Schooling | 0.7% (63) | 0.9% (1,011) |
| High School Diploma | 25.4% (2,308) | 14.8% (16,423) |
| Less than High School | 11.7% (1,063) | 14.3% (15,852) |
| Bachelor's Degree and Higher | 14.3% (1,301) | 12.6% (13,951) |
Education Levels Comparison: Little falls vs Nampa
- In Nampa, a larger percentage of residents lack formal schooling at 0.9% compared to 0.7% in Little falls.
- A higher percentage of residents in Little falls hold a high school diploma at 25.4% compared to 14.8% in Nampa.
- The percentage of residents with less than a high school education is higher in Nampa at 14.3%, compared to 11.7% in Little falls.
- A higher percentage of residents in Little falls hold a bachelor's degree or higher at 14.3% 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.