Demographics details for Pampa, TX vs Cleveland heights, OH
Population Overview
Compare main population characteristics in Pampa, TX vs Cleveland heights, OH.
| Data | Pampa | Cleveland heights |
|---|---|---|
| Population | 16,612 | 44,201 |
| Median Age | 35.5 years | 36.7 years |
| Median Income | $52,966 | $69,155 |
| Married Families | 42.0% | 33.0% |
| Poverty Level | 14% | 13% |
| Unemployment Rate | 3.4 | 4.6 |
Population Comparison: Pampa vs Cleveland heights
- The population in Cleveland heights is higher at 44,201, compared to 16,612 in Pampa.
- The median age in Cleveland heights is higher at 36.7 years, compared to 35.5 years in Pampa.
- Cleveland heights has a higher median income of $69,155, compared to $52,966 in Pampa.
- A higher percentage of married families is found in Pampa at 42.0% compared to 33.0% in Cleveland heights.
- Pampa has a higher poverty level at 14% compared to 13% in Cleveland heights.
- Cleveland heights has a higher unemployment rate at 4.6% compared to 3.4% in Pampa.
Demographics
Demographics Pampa vs Cleveland heights provide insight into the diversity of the communities to compare.
| Demographic | Pampa | Cleveland heights |
|---|---|---|
| Black | 3 | 42 |
| White | 53 | 46 |
| Asian | 2 | 5 |
| Hispanic | 34 | 3 |
| Two or More Races | 7 | 4 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Pampa vs Cleveland heights
- In Cleveland heights, the percentage of Black residents is higher at 42% compared to 3% in Pampa.
- Pampa has a higher percentage of White residents at 53% compared to 46% in Cleveland heights.
- In Cleveland heights, the Asian population stands at 5%, greater than 2% in Pampa.
- The Hispanic community is larger in Pampa at 34% compared to 3% in Cleveland heights.
- More residents identify as two or more races in Pampa at 7% compared to 4% in Cleveland heights.
- A greater percentage of American Indian residents live in Pampa at 1% compared to 0% in Cleveland heights.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pampa | Cleveland heights |
|---|---|---|
| Mental Health Not Good | 19.5% | 15.7% |
| Physical Health Not Good | 14.0% | 10.9% |
| Depression | 25.4% | 21.8% |
| Smoking | 21.1% | 16.0% |
| Binge Drinking | 17.9% | 16.7% |
| Obesity | 39.7% | 34.5% |
| Disability Percentage | 12.0% | 11.0% |
Health Statistics Comparison: Pampa vs Cleveland heights
- More residents in Pampa report poor mental health at 19.5% compared to 15.7% in Cleveland heights.
- Depression is more prevalent in Pampa at 25.4% compared to 21.8% in Cleveland heights.
- Smoking is more prevalent in Pampa at 21.1% compared to 16.0% in Cleveland heights.
- Binge drinking is more common in Pampa at 17.9% compared to 16.7% in Cleveland heights.
- Obesity rates are higher in Pampa at 39.7% compared to 34.5% in Cleveland heights.
- Disability percentages are higher in Pampa at 12.0% compared to 11.0% in Cleveland heights.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pampa | Cleveland heights |
|---|---|---|
| No Schooling | 1.4% (238) | 0.4% (157) |
| High School Diploma | 14.7% (2,443) | 9.5% (4,183) |
| Less than High School | 24.0% (3,994) | 3.7% (1,638) |
| Bachelor's Degree and Higher | 10.6% (1,757) | 39.6% (17,513) |
Education Levels Comparison: Pampa vs Cleveland heights
- A higher percentage of residents in Pampa have no formal schooling at 1.4% compared to 0.4% in Cleveland heights.
- A higher percentage of residents in Pampa hold a high school diploma at 14.7% compared to 9.5% in Cleveland heights.
- More residents in Pampa have less than a high school education at 24.0% compared to 3.7% in Cleveland heights.
- In Cleveland heights, a larger share of residents have a bachelor's degree or higher at 39.6% compared to 10.6% in Pampa.
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.