Demographics details for Towanda, PA vs Wakita, OK
Population Overview
Compare main population characteristics in Towanda, PA vs Wakita, OK.
Data | Towanda | Wakita |
---|---|---|
Population | 2,785 | 307 |
Median Age | 38.4 years | 35.5 years |
Median Income | $53,354 | $34,375 |
Married Families | 39.0% | 32.0% |
Poverty Level | 10% | 15% |
Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Towanda vs Wakita
- In Towanda, the population is higher at 2,785, compared to 307 in Wakita.
- Residents in Towanda have a higher median age of 38.4 years compared to 35.5 years in Wakita.
- Towanda has a higher median income of $53,354 compared to $34,375 in Wakita.
- A higher percentage of married families is found in Towanda at 39.0% compared to 32.0% in Wakita.
- The poverty level is higher in Wakita at 15%, compared to 10% in Towanda.
- The unemployment rate in Towanda is higher at 4.5%, compared to 3.5% in Wakita.
Demographics
Demographics Towanda vs Wakita provide insight into the diversity of the communities to compare.
Demographic | Towanda | Wakita |
---|---|---|
Black | 3 | Data is updating |
White | 94 | 74 |
Asian | Data is updating | Data is updating |
Hispanic | 2 | 20 |
Two or More Races | 1 | 4 |
American Indian | Data is updating | 2 |
Demographics Comparison: Towanda vs Wakita
- A higher percentage of Black residents are in Towanda at 3% compared to 0% in Wakita.
- Towanda has a higher percentage of White residents at 94% compared to 74% in Wakita.
- Both Towanda and Wakita have the same percentage of Asian residents at 0%.
- Wakita has a higher percentage of Hispanic residents at 20%, compared to 2% in Towanda.
- The percentage of residents identifying as two or more races is higher in Wakita at 4%, compared to 1% in Towanda.
- In Wakita, the percentage of American Indian residents is higher at 2%, compared to 0% in Towanda.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Towanda | Wakita |
---|---|---|
Mental Health Not Good | 18.1% | 17.8% |
Physical Health Not Good | 12.6% | 11.4% |
Depression | 25.0% | 25.5% |
Smoking | 22.0% | 17.8% |
Binge Drinking | 17.6% | 15.8% |
Obesity | 42.2% | 39.1% |
Disability Percentage | 10.0% | 19.0% |
Health Statistics Comparison: Towanda vs Wakita
- More residents in Towanda report poor mental health at 18.1% compared to 17.8% in Wakita.
- Higher depression rates are seen in Wakita at 25.5% versus 25.0% in Towanda.
- Smoking is more prevalent in Towanda at 22.0% compared to 17.8% in Wakita.
- Binge drinking is more common in Towanda at 17.6% compared to 15.8% in Wakita.
- Obesity rates are higher in Towanda at 42.2% compared to 39.1% in Wakita.
- There is a higher percentage of disabled individuals in Wakita at 19.0% compared to 10.0% in Towanda.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Towanda | Wakita |
---|---|---|
No Schooling | 0.9% (25) | 0.0% (Data is updating) |
High School Diploma | 25.4% (707) | 25.1% (77) |
Less than High School | 23.7% (660) | 10.4% (32) |
Bachelor's Degree and Higher | 19.5% (543) | 11.4% (35) |
Education Levels Comparison: Towanda vs Wakita
- A higher percentage of residents in Towanda have no formal schooling at 0.9% compared to 0.0% in Wakita.
- A higher percentage of residents in Towanda hold a high school diploma at 25.4% compared to 25.1% in Wakita.
- More residents in Towanda have less than a high school education at 23.7% compared to 10.4% in Wakita.
- A higher percentage of residents in Towanda hold a bachelor's degree or higher at 19.5% compared to 11.4% in Wakita.
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.