Demographics details for La puente, CA vs Charlotte, TN
Population Overview
Compare main population characteristics in La puente, CA vs Charlotte, TN.
| Data | La puente | Charlotte |
|---|---|---|
| Population | 36,636 | 1,674 |
| Median Age | 36.4 years | 36.8 years |
| Median Income | $77,702 | $57,188 |
| Married Families | 38.0% | 46.0% |
| Poverty Level | 12% | 14% |
| Unemployment Rate | 5.9 | 4.3 |
Population Comparison: La puente vs Charlotte
- In La puente, the population is higher at 36,636, compared to 1,674 in Charlotte.
- The median age in Charlotte is higher at 36.8 years, compared to 36.4 years in La puente.
- La puente has a higher median income of $77,702 compared to $57,188 in Charlotte.
- In Charlotte, the percentage of married families is higher at 46.0%, compared to 38.0% in La puente.
- The poverty level is higher in Charlotte at 14%, compared to 12% in La puente.
- The unemployment rate in La puente is higher at 5.9%, compared to 4.3% in Charlotte.
Demographics
Demographics La puente vs Charlotte provide insight into the diversity of the communities to compare.
| Demographic | La puente | Charlotte |
|---|---|---|
| Black | 2 | 6 |
| White | -16 | 82 |
| Asian | 14 | Data is updating |
| Hispanic | 84 | 4 |
| Two or More Races | 13 | 6 |
| American Indian | 3 | 2 |
Demographics Comparison: La puente vs Charlotte
- In Charlotte, the percentage of Black residents is higher at 6% compared to 2% in La puente.
- The percentage of White residents is higher in Charlotte at 82% compared to -16% in La puente.
- The Asian population is larger in La puente at 14% compared to 0% in Charlotte.
- The Hispanic community is larger in La puente at 84% compared to 4% in Charlotte.
- More residents identify as two or more races in La puente at 13% compared to 6% in Charlotte.
- A greater percentage of American Indian residents live in La puente at 3% compared to 2% in Charlotte.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | La puente | Charlotte |
|---|---|---|
| Mental Health Not Good | 15.8% | 20.3% |
| Physical Health Not Good | 13.4% | 14.7% |
| Depression | 15.3% | 28.8% |
| Smoking | 11.8% | 25.3% |
| Binge Drinking | 14.5% | 16.0% |
| Obesity | 31.6% | 38.9% |
| Disability Percentage | 10.0% | 27.0% |
Health Statistics Comparison: La puente vs Charlotte
- In Charlotte, a higher percentage report poor mental health at 20.3% compared to 15.8% in La puente.
- Higher depression rates are seen in Charlotte at 28.8% versus 15.3% in La puente.
- Charlotte has a higher smoking rate at 25.3% compared to 11.8% in La puente.
- More residents engage in binge drinking in Charlotte at 16.0% compared to 14.5% in La puente.
- Charlotte has higher obesity rates at 38.9% compared to 31.6% in La puente.
- There is a higher percentage of disabled individuals in Charlotte at 27.0% compared to 10.0% in La puente.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | La puente | Charlotte |
|---|---|---|
| No Schooling | 5.0% (1,841) | 0.4% (6) |
| High School Diploma | 18.6% (6,830) | 25.3% (424) |
| Less than High School | 44.3% (16,244) | 26.0% (436) |
| Bachelor's Degree and Higher | 8.0% (2,926) | 9.9% (166) |
Education Levels Comparison: La puente vs Charlotte
- A higher percentage of residents in La puente have no formal schooling at 5.0% compared to 0.4% in Charlotte.
- In Charlotte, the rate of residents with high school diplomas is higher at 25.3% compared to 18.6% in La puente.
- More residents in La puente have less than a high school education at 44.3% compared to 26.0% in Charlotte.
- In Charlotte, a larger share of residents have a bachelor's degree or higher at 9.9% compared to 8.0% in La puente.
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.