Demographics details for Temecula, CA vs Cleveland, MS
Population Overview
Compare main population characteristics in Temecula, CA vs Cleveland, MS.
| Data | Temecula | Cleveland |
|---|---|---|
| Population | 111,752 | 10,545 |
| Median Age | 36.2 years | 33.8 years |
| Median Income | $111,881 | $42,005 |
| Married Families | 43.0% | 27.0% |
| Poverty Level | 9% | 24% |
| Unemployment Rate | 4.4 | 5.6 |
Population Comparison: Temecula vs Cleveland
- In Temecula, the population is higher at 111,752, compared to 10,545 in Cleveland.
- Residents in Temecula have a higher median age of 36.2 years compared to 33.8 years in Cleveland.
- Temecula has a higher median income of $111,881 compared to $42,005 in Cleveland.
- A higher percentage of married families is found in Temecula at 43.0% compared to 27.0% in Cleveland.
- The poverty level is higher in Cleveland at 24%, compared to 9% in Temecula.
- Cleveland has a higher unemployment rate at 5.6% compared to 4.4% in Temecula.
Demographics
Demographics Temecula vs Cleveland provide insight into the diversity of the communities to compare.
| Demographic | Temecula | Cleveland |
|---|---|---|
| Black | 4 | 56 |
| White | 42 | 36 |
| Asian | 11 | 2 |
| Hispanic | 28 | 1 |
| Two or More Races | 14 | 5 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Temecula vs Cleveland
- In Cleveland, the percentage of Black residents is higher at 56% compared to 4% in Temecula.
- Temecula has a higher percentage of White residents at 42% compared to 36% in Cleveland.
- The Asian population is larger in Temecula at 11% compared to 2% in Cleveland.
- The Hispanic community is larger in Temecula at 28% compared to 1% in Cleveland.
- More residents identify as two or more races in Temecula at 14% compared to 5% in Cleveland.
- A greater percentage of American Indian residents live in Temecula at 1% compared to 0% in Cleveland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Temecula | Cleveland |
|---|---|---|
| Mental Health Not Good | 14.6% | 17.6% |
| Physical Health Not Good | 9.2% | 13.8% |
| Depression | 17.1% | 20.4% |
| Smoking | 10.7% | 21.0% |
| Binge Drinking | 17.8% | 12.7% |
| Obesity | 31.7% | 41.4% |
| Disability Percentage | 9.0% | 20.0% |
Health Statistics Comparison: Temecula vs Cleveland
- In Cleveland, a higher percentage report poor mental health at 17.6% compared to 14.6% in Temecula.
- Higher depression rates are seen in Cleveland at 20.4% versus 17.1% in Temecula.
- Cleveland has a higher smoking rate at 21.0% compared to 10.7% in Temecula.
- Binge drinking is more common in Temecula at 17.8% compared to 12.7% in Cleveland.
- Cleveland has higher obesity rates at 41.4% compared to 31.7% in Temecula.
- There is a higher percentage of disabled individuals in Cleveland at 20.0% compared to 9.0% in Temecula.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Temecula | Cleveland |
|---|---|---|
| No Schooling | 1.0% (1,122) | 0.9% (99) |
| High School Diploma | 10.5% (11,734) | 10.0% (1,059) |
| Less than High School | 7.8% (8,699) | 13.3% (1,404) |
| Bachelor's Degree and Higher | 24.3% (27,134) | 21.3% (2,242) |
Education Levels Comparison: Temecula vs Cleveland
- A higher percentage of residents in Temecula have no formal schooling at 1.0% compared to 0.9% in Cleveland.
- A higher percentage of residents in Temecula hold a high school diploma at 10.5% compared to 10.0% in Cleveland.
- The percentage of residents with less than a high school education is higher in Cleveland at 13.3%, compared to 7.8% in Temecula.
- A higher percentage of residents in Temecula hold a bachelor's degree or higher at 24.3% compared to 21.3% in Cleveland.
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.