Demographics details for Montebello, CA vs Franklin, GA
Population Overview
Compare main population characteristics in Montebello, CA vs Franklin, GA.
| Data | Montebello | Franklin |
|---|---|---|
| Population | 60,569 | 24,128 |
| Median Age | 38.0 years | 40.9 years |
| Median Income | $72,317 | $52,597 |
| Married Families | 34.0% | 39.0% |
| Poverty Level | 15% | 13% |
| Unemployment Rate | 6.1 | 4.8 |
Population Comparison: Montebello vs Franklin
- In Montebello, the population is higher at 60,569, compared to 24,128 in Franklin.
- The median age in Franklin is higher at 40.9 years, compared to 38.0 years in Montebello.
- Montebello has a higher median income of $72,317 compared to $52,597 in Franklin.
- In Franklin, the percentage of married families is higher at 39.0%, compared to 34.0% in Montebello.
- Montebello has a higher poverty level at 15% compared to 13% in Franklin.
- The unemployment rate in Montebello is higher at 6.1%, compared to 4.8% in Franklin.
Demographics
Demographics Montebello vs Franklin provide insight into the diversity of the communities to compare.
| Demographic | Montebello | Franklin |
|---|---|---|
| Black | 1 | 9 |
| White | -13 | 81 |
| Asian | 14 | 1 |
| Hispanic | 80 | 5 |
| Two or More Races | 15 | 3 |
| American Indian | 3 | 1 |
Demographics Comparison: Montebello vs Franklin
- In Franklin, the percentage of Black residents is higher at 9% compared to 1% in Montebello.
- The percentage of White residents is higher in Franklin at 81% compared to -13% in Montebello.
- The Asian population is larger in Montebello at 14% compared to 1% in Franklin.
- The Hispanic community is larger in Montebello at 80% compared to 5% in Franklin.
- More residents identify as two or more races in Montebello at 15% compared to 3% in Franklin.
- A greater percentage of American Indian residents live in Montebello at 3% compared to 1% in Franklin.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Montebello | Franklin |
|---|---|---|
| Mental Health Not Good | 15.4% | 18.1% |
| Physical Health Not Good | 12.6% | 13.2% |
| Depression | 15.2% | 23.4% |
| Smoking | 11.0% | 19.9% |
| Binge Drinking | 14.5% | 16.2% |
| Obesity | 30.6% | 37.7% |
| Disability Percentage | 13.0% | 17.0% |
Health Statistics Comparison: Montebello vs Franklin
- In Franklin, a higher percentage report poor mental health at 18.1% compared to 15.4% in Montebello.
- Higher depression rates are seen in Franklin at 23.4% versus 15.2% in Montebello.
- Franklin has a higher smoking rate at 19.9% compared to 11.0% in Montebello.
- More residents engage in binge drinking in Franklin at 16.2% compared to 14.5% in Montebello.
- Franklin has higher obesity rates at 37.7% compared to 30.6% in Montebello.
- There is a higher percentage of disabled individuals in Franklin at 17.0% compared to 13.0% in Montebello.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Montebello | Franklin |
|---|---|---|
| No Schooling | 3.1% (1,890) | 1.6% (394) |
| High School Diploma | 16.2% (9,819) | 16.4% (3,969) |
| Less than High School | 35.0% (21,175) | 23.7% (5,721) |
| Bachelor's Degree and Higher | 15.4% (9,349) | 11.1% (2,688) |
Education Levels Comparison: Montebello vs Franklin
- A higher percentage of residents in Montebello have no formal schooling at 3.1% compared to 1.6% in Franklin.
- In Franklin, the rate of residents with high school diplomas is higher at 16.4% compared to 16.2% in Montebello.
- More residents in Montebello have less than a high school education at 35.0% compared to 23.7% in Franklin.
- A higher percentage of residents in Montebello hold a bachelor's degree or higher at 15.4% compared to 11.1% in Franklin.
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.