Demographics details for Montebello, CA vs Cudahy, WI
Population Overview
Compare main population characteristics in Montebello, CA vs Cudahy, WI.
| Data | Montebello | Cudahy |
|---|---|---|
| Population | 60,569 | 17,796 |
| Median Age | 38.0 years | 42.4 years |
| Median Income | $72,317 | $66,592 |
| Married Families | 34.0% | 39.0% |
| Poverty Level | 15% | 11% |
| Unemployment Rate | 6.1 | 3.5 |
Population Comparison: Montebello vs Cudahy
- In Montebello, the population is higher at 60,569, compared to 17,796 in Cudahy.
- The median age in Cudahy is higher at 42.4 years, compared to 38.0 years in Montebello.
- Montebello has a higher median income of $72,317 compared to $66,592 in Cudahy.
- In Cudahy, 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 11% in Cudahy.
- The unemployment rate in Montebello is higher at 6.1%, compared to 3.5% in Cudahy.
Demographics
Demographics Montebello vs Cudahy provide insight into the diversity of the communities to compare.
| Demographic | Montebello | Cudahy |
|---|---|---|
| Black | 1 | 3 |
| White | -13 | 77 |
| Asian | 14 | 2 |
| Hispanic | 80 | 9 |
| Two or More Races | 15 | 9 |
| American Indian | 3 | Data is updating |
Demographics Comparison: Montebello vs Cudahy
- In Cudahy, the percentage of Black residents is higher at 3% compared to 1% in Montebello.
- The percentage of White residents is higher in Cudahy at 77% compared to -13% in Montebello.
- The Asian population is larger in Montebello at 14% compared to 2% in Cudahy.
- The Hispanic community is larger in Montebello at 80% compared to 9% in Cudahy.
- More residents identify as two or more races in Montebello at 15% compared to 9% in Cudahy.
- A greater percentage of American Indian residents live in Montebello at 3% compared to 0% in Cudahy.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Montebello | Cudahy |
|---|---|---|
| Mental Health Not Good | 15.4% | 15.5% |
| Physical Health Not Good | 12.6% | 9.6% |
| Depression | 15.2% | 24.3% |
| Smoking | 11.0% | 16.4% |
| Binge Drinking | 14.5% | 26.4% |
| Obesity | 30.6% | 34.2% |
| Disability Percentage | 13.0% | 16.0% |
Health Statistics Comparison: Montebello vs Cudahy
- In Cudahy, a higher percentage report poor mental health at 15.5% compared to 15.4% in Montebello.
- Higher depression rates are seen in Cudahy at 24.3% versus 15.2% in Montebello.
- Cudahy has a higher smoking rate at 16.4% compared to 11.0% in Montebello.
- More residents engage in binge drinking in Cudahy at 26.4% compared to 14.5% in Montebello.
- Cudahy has higher obesity rates at 34.2% compared to 30.6% in Montebello.
- There is a higher percentage of disabled individuals in Cudahy at 16.0% 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 | Cudahy |
|---|---|---|
| No Schooling | 3.1% (1,890) | 0.9% (166) |
| High School Diploma | 16.2% (9,819) | 25.1% (4,460) |
| Less than High School | 35.0% (21,175) | 9.9% (1,768) |
| Bachelor's Degree and Higher | 15.4% (9,349) | 21.0% (3,730) |
Education Levels Comparison: Montebello vs Cudahy
- A higher percentage of residents in Montebello have no formal schooling at 3.1% compared to 0.9% in Cudahy.
- In Cudahy, the rate of residents with high school diplomas is higher at 25.1% compared to 16.2% in Montebello.
- More residents in Montebello have less than a high school education at 35.0% compared to 9.9% in Cudahy.
- In Cudahy, a larger share of residents have a bachelor's degree or higher at 21.0% compared to 15.4% in Montebello.
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.