Demographics details for Moberly, MO vs Franklin, WI
Population Overview
Compare main population characteristics in Moberly, MO vs Franklin, WI.
| Data | Moberly | Franklin |
|---|---|---|
| Population | 13,774 | 36,066 |
| Median Age | 37.5 years | 44.3 years |
| Median Income | $39,332 | $100,524 |
| Married Families | 27.0% | 50.0% |
| Poverty Level | 13% | 5% |
| Unemployment Rate | 4.2 | 3.2 |
Population Comparison: Moberly vs Franklin
- The population in Franklin is higher at 36,066, compared to 13,774 in Moberly.
- The median age in Franklin is higher at 44.3 years, compared to 37.5 years in Moberly.
- Franklin has a higher median income of $100,524, compared to $39,332 in Moberly.
- In Franklin, the percentage of married families is higher at 50.0%, compared to 27.0% in Moberly.
- Moberly has a higher poverty level at 13% compared to 5% in Franklin.
- The unemployment rate in Moberly is higher at 4.2%, compared to 3.2% in Franklin.
Demographics
Demographics Moberly vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | Moberly | Franklin |
|---|---|---|
| Black | 9 | 4 |
| White | 81 | 80 |
| Asian | 1 | 6 |
| Hispanic | 3 | 6 |
| Two or More Races | 6 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Moberly vs Franklin
- A higher percentage of Black residents are in Moberly at 9% compared to 4% in Franklin.
- Moberly has a higher percentage of White residents at 81% compared to 80% in Franklin.
- In Franklin, the Asian population stands at 6%, greater than 1% in Moberly.
- Franklin has a higher percentage of Hispanic residents at 6%, compared to 3% in Moberly.
- More residents identify as two or more races in Moberly at 6% compared to 4% in Franklin.
- The percentage of American Indian residents is the same in both Moberly and Franklin at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Moberly | Franklin |
|---|---|---|
| Mental Health Not Good | 19.5% | 13.4% |
| Physical Health Not Good | 14.9% | 7.9% |
| Depression | 26.1% | 21.9% |
| Smoking | 24.6% | 12.8% |
| Binge Drinking | 16.6% | 27.0% |
| Obesity | 44.1% | 30.9% |
| Disability Percentage | 15.0% | 8.0% |
Health Statistics Comparison: Moberly vs Franklin
- More residents in Moberly report poor mental health at 19.5% compared to 13.4% in Franklin.
- Depression is more prevalent in Moberly at 26.1% compared to 21.9% in Franklin.
- Smoking is more prevalent in Moberly at 24.6% compared to 12.8% in Franklin.
- More residents engage in binge drinking in Franklin at 27.0% compared to 16.6% in Moberly.
- Obesity rates are higher in Moberly at 44.1% compared to 30.9% in Franklin.
- Disability percentages are higher in Moberly at 15.0% compared to 8.0% in Franklin.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Moberly | Franklin |
|---|---|---|
| No Schooling | 1.0% (132) | 0.3% (98) |
| High School Diploma | 22.9% (3,149) | 15.5% (5,595) |
| Less than High School | 14.7% (2,021) | 6.8% (2,462) |
| Bachelor's Degree and Higher | 11.0% (1,514) | 31.8% (11,484) |
Education Levels Comparison: Moberly vs Franklin
- A higher percentage of residents in Moberly have no formal schooling at 1.0% compared to 0.3% in Franklin.
- A higher percentage of residents in Moberly hold a high school diploma at 22.9% compared to 15.5% in Franklin.
- More residents in Moberly have less than a high school education at 14.7% compared to 6.8% in Franklin.
- In Franklin, a larger share of residents have a bachelor's degree or higher at 31.8% compared to 11.0% in Moberly.
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.