Demographics details for Howard, CO vs Little falls, MN
Population Overview
Compare main population characteristics in Howard, CO vs Little falls, MN.
| Data | Howard | Little falls |
|---|---|---|
| Population | 976 | 9,094 |
| Median Age | 45.0 years | 40.8 years |
| Median Income | $55,970 | $44,455 |
| Married Families | 64.0% | 34.0% |
| Poverty Level | 10% | 11% |
| Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Howard vs Little falls
- The population in Little falls is higher at 9,094, compared to 976 in Howard.
- Residents in Howard have a higher median age of 45.0 years compared to 40.8 years in Little falls.
- Howard has a higher median income of $55,970 compared to $44,455 in Little falls.
- A higher percentage of married families is found in Howard at 64.0% compared to 34.0% in Little falls.
- The poverty level is higher in Little falls at 11%, compared to 10% in Howard.
- Little falls has a higher unemployment rate at 4.2% compared to 3.5% in Howard.
Demographics
Demographics Howard vs Little falls provide insight into the diversity of the communities to compare.
| Demographic | Howard | Little falls |
|---|---|---|
| Black | 3 | Data is updating |
| White | 90 | 95 |
| Asian | Data is updating | 1 |
| Hispanic | 5 | 1 |
| Two or More Races | 2 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Howard vs Little falls
- A higher percentage of Black residents are in Howard at 3% compared to 0% in Little falls.
- The percentage of White residents is higher in Little falls at 95% compared to 90% in Howard.
- In Little falls, the Asian population stands at 1%, greater than 0% in Howard.
- The Hispanic community is larger in Howard at 5% compared to 1% in Little falls.
- The percentage of residents identifying as two or more races is higher in Little falls at 3%, compared to 2% in Howard.
- The percentage of American Indian residents is the same in both Howard and Little falls at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Howard | Little falls |
|---|---|---|
| Mental Health Not Good | 17.0% | 16.6% |
| Physical Health Not Good | 11.2% | 10.9% |
| Depression | 24.2% | 25.0% |
| Smoking | 17.5% | 22.3% |
| Binge Drinking | 18.6% | 20.6% |
| Obesity | 27.3% | 38.5% |
| Disability Percentage | 19.0% | 17.0% |
Health Statistics Comparison: Howard vs Little falls
- More residents in Howard report poor mental health at 17.0% compared to 16.6% in Little falls.
- Higher depression rates are seen in Little falls at 25.0% versus 24.2% in Howard.
- Little falls has a higher smoking rate at 22.3% compared to 17.5% in Howard.
- More residents engage in binge drinking in Little falls at 20.6% compared to 18.6% in Howard.
- Little falls has higher obesity rates at 38.5% compared to 27.3% in Howard.
- Disability percentages are higher in Howard at 19.0% compared to 17.0% in Little falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Howard | Little falls |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.7% (63) |
| High School Diploma | 31.8% (310) | 25.4% (2,308) |
| Less than High School | 1.4% (14) | 11.7% (1,063) |
| Bachelor's Degree and Higher | 19.1% (186) | 14.3% (1,301) |
Education Levels Comparison: Howard vs Little falls
- In Little falls, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in Howard.
- A higher percentage of residents in Howard hold a high school diploma at 31.8% compared to 25.4% in Little falls.
- The percentage of residents with less than a high school education is higher in Little falls at 11.7%, compared to 1.4% in Howard.
- A higher percentage of residents in Howard hold a bachelor's degree or higher at 19.1% compared to 14.3% in Little falls.
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.