Demographics details for Pembroke pines, FL vs Winona, MS
Population Overview
Compare main population characteristics in Pembroke pines, FL vs Winona, MS.
Data | Pembroke pines | Winona |
---|---|---|
Population | 169,876 | 4,159 |
Median Age | 42.9 years | 33.7 years |
Median Income | $77,657 | $26,250 |
Married Families | 39.0% | 21.0% |
Poverty Level | 10% | 24% |
Unemployment Rate | 3.2 | 3.6 |
Population Comparison: Pembroke pines vs Winona
- In Pembroke pines, the population is higher at 169,876, compared to 4,159 in Winona.
- Residents in Pembroke pines have a higher median age of 42.9 years compared to 33.7 years in Winona.
- Pembroke pines has a higher median income of $77,657 compared to $26,250 in Winona.
- A higher percentage of married families is found in Pembroke pines at 39.0% compared to 21.0% in Winona.
- The poverty level is higher in Winona at 24%, compared to 10% in Pembroke pines.
- Winona has a higher unemployment rate at 3.6% compared to 3.2% in Pembroke pines.
Demographics
Demographics Pembroke pines vs Winona provide insight into the diversity of the communities to compare.
Demographic | Pembroke pines | Winona |
---|---|---|
Black | 21 | 62 |
White | 9 | 38 |
Asian | 5 | Data is updating |
Hispanic | 47 | Data is updating |
Two or More Races | 18 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Pembroke pines vs Winona
- In Winona, the percentage of Black residents is higher at 62% compared to 21% in Pembroke pines.
- The percentage of White residents is higher in Winona at 38% compared to 9% in Pembroke pines.
- The Asian population is larger in Pembroke pines at 5% compared to 0% in Winona.
- The Hispanic community is larger in Pembroke pines at 47% compared to 0% in Winona.
- More residents identify as two or more races in Pembroke pines at 18% compared to 0% in Winona.
- The percentage of American Indian residents is the same in both Pembroke pines and Winona at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pembroke pines | Winona |
---|---|---|
Mental Health Not Good | 14.4% | 19.3% |
Physical Health Not Good | 9.7% | 15.0% |
Depression | 16.0% | 22.3% |
Smoking | 13.7% | 24.8% |
Binge Drinking | 14.8% | 11.8% |
Obesity | 28.3% | 46.4% |
Disability Percentage | 10.0% | 25.0% |
Health Statistics Comparison: Pembroke pines vs Winona
- In Winona, a higher percentage report poor mental health at 19.3% compared to 14.4% in Pembroke pines.
- Higher depression rates are seen in Winona at 22.3% versus 16.0% in Pembroke pines.
- Winona has a higher smoking rate at 24.8% compared to 13.7% in Pembroke pines.
- Binge drinking is more common in Pembroke pines at 14.8% compared to 11.8% in Winona.
- Winona has higher obesity rates at 46.4% compared to 28.3% in Pembroke pines.
- There is a higher percentage of disabled individuals in Winona at 25.0% compared to 10.0% in Pembroke pines.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pembroke pines | Winona |
---|---|---|
No Schooling | 1.3% (2,184) | 2.1% (87) |
High School Diploma | 18.7% (31,781) | 11.4% (473) |
Less than High School | 8.3% (14,103) | 28.5% (1,186) |
Bachelor's Degree and Higher | 25.9% (43,973) | 9.3% (388) |
Education Levels Comparison: Pembroke pines vs Winona
- In Winona, a larger percentage of residents lack formal schooling at 2.1% compared to 1.3% in Pembroke pines.
- A higher percentage of residents in Pembroke pines hold a high school diploma at 18.7% compared to 11.4% in Winona.
- The percentage of residents with less than a high school education is higher in Winona at 28.5%, compared to 8.3% in Pembroke pines.
- A higher percentage of residents in Pembroke pines hold a bachelor's degree or higher at 25.9% compared to 9.3% in Winona.
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.