Demographics details for Pampa, TX vs Okeechobee, FL
Population Overview
Compare main population characteristics in Pampa, TX vs Okeechobee, FL.
| Data | Pampa | Okeechobee |
|---|---|---|
| Population | 16,612 | 40,412 |
| Median Age | 35.5 years | 40.8 years |
| Median Income | $52,966 | $50,476 |
| Married Families | 42.0% | 38.0% |
| Poverty Level | 14% | 16% |
| Unemployment Rate | 3.4 | 3.7 |
Population Comparison: Pampa vs Okeechobee
- The population in Okeechobee is higher at 40,412, compared to 16,612 in Pampa.
- The median age in Okeechobee is higher at 40.8 years, compared to 35.5 years in Pampa.
- Pampa has a higher median income of $52,966 compared to $50,476 in Okeechobee.
- A higher percentage of married families is found in Pampa at 42.0% compared to 38.0% in Okeechobee.
- The poverty level is higher in Okeechobee at 16%, compared to 14% in Pampa.
- Okeechobee has a higher unemployment rate at 3.7% compared to 3.4% in Pampa.
Demographics
Demographics Pampa vs Okeechobee provide insight into the diversity of the communities to compare.
| Demographic | Pampa | Okeechobee |
|---|---|---|
| Black | 3 | 8 |
| White | 53 | 58 |
| Asian | 2 | 1 |
| Hispanic | 34 | 26 |
| Two or More Races | 7 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Pampa vs Okeechobee
- In Okeechobee, the percentage of Black residents is higher at 8% compared to 3% in Pampa.
- The percentage of White residents is higher in Okeechobee at 58% compared to 53% in Pampa.
- The Asian population is larger in Pampa at 2% compared to 1% in Okeechobee.
- The Hispanic community is larger in Pampa at 34% compared to 26% in Okeechobee.
- Both Pampa and Okeechobee have the same percentage of residents identifying as two or more races at 7%.
- A greater percentage of American Indian residents live in Pampa at 1% compared to 0% in Okeechobee.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pampa | Okeechobee |
|---|---|---|
| Mental Health Not Good | 19.5% | 17.3% |
| Physical Health Not Good | 14.0% | 13.1% |
| Depression | 25.4% | 20.1% |
| Smoking | 21.1% | 23.7% |
| Binge Drinking | 17.9% | 15.4% |
| Obesity | 39.7% | 33.9% |
| Disability Percentage | 12.0% | 15.0% |
Health Statistics Comparison: Pampa vs Okeechobee
- More residents in Pampa report poor mental health at 19.5% compared to 17.3% in Okeechobee.
- Depression is more prevalent in Pampa at 25.4% compared to 20.1% in Okeechobee.
- Okeechobee has a higher smoking rate at 23.7% compared to 21.1% in Pampa.
- Binge drinking is more common in Pampa at 17.9% compared to 15.4% in Okeechobee.
- Obesity rates are higher in Pampa at 39.7% compared to 33.9% in Okeechobee.
- There is a higher percentage of disabled individuals in Okeechobee at 15.0% compared to 12.0% in Pampa.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Pampa | Okeechobee |
|---|---|---|
| No Schooling | 1.4% (238) | 1.9% (751) |
| High School Diploma | 14.7% (2,443) | 18.6% (7,520) |
| Less than High School | 24.0% (3,994) | 26.7% (10,783) |
| Bachelor's Degree and Higher | 10.6% (1,757) | 11.8% (4,773) |
Education Levels Comparison: Pampa vs Okeechobee
- In Okeechobee, a larger percentage of residents lack formal schooling at 1.9% compared to 1.4% in Pampa.
- In Okeechobee, the rate of residents with high school diplomas is higher at 18.6% compared to 14.7% in Pampa.
- The percentage of residents with less than a high school education is higher in Okeechobee at 26.7%, compared to 24.0% in Pampa.
- In Okeechobee, a larger share of residents have a bachelor's degree or higher at 11.8% 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.