Demographics details for Ponca city, OK vs Keno, OR
Population Overview
Compare main population characteristics in Ponca city, OK vs Keno, OR.
Data | Ponca city | Keno |
---|---|---|
Population | 24,340 | 3,083 |
Median Age | 37.0 years | 47.5 years |
Median Income | $51,367 | $69,421 |
Married Families | 34.0% | 47.0% |
Poverty Level | 18% | 10% |
Unemployment Rate | 4.4 | 4.5 |
Population Comparison: Ponca city vs Keno
- In Ponca city, the population is higher at 24,340, compared to 3,083 in Keno.
- The median age in Keno is higher at 47.5 years, compared to 37.0 years in Ponca city.
- Keno has a higher median income of $69,421, compared to $51,367 in Ponca city.
- In Keno, the percentage of married families is higher at 47.0%, compared to 34.0% in Ponca city.
- Ponca city has a higher poverty level at 18% compared to 10% in Keno.
- Keno has a higher unemployment rate at 4.5% compared to 4.4% in Ponca city.
Demographics
Demographics Ponca city vs Keno provide insight into the diversity of the communities to compare.
Demographic | Ponca city | Keno |
---|---|---|
Black | 3 | Data is updating |
White | 67 | 82 |
Asian | 1 | 4 |
Hispanic | 9 | 6 |
Two or More Races | 12 | 5 |
American Indian | 8 | 3 |
Demographics Comparison: Ponca city vs Keno
- A higher percentage of Black residents are in Ponca city at 3% compared to 0% in Keno.
- The percentage of White residents is higher in Keno at 82% compared to 67% in Ponca city.
- In Keno, the Asian population stands at 4%, greater than 1% in Ponca city.
- The Hispanic community is larger in Ponca city at 9% compared to 6% in Keno.
- More residents identify as two or more races in Ponca city at 12% compared to 5% in Keno.
- A greater percentage of American Indian residents live in Ponca city at 8% compared to 3% in Keno.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ponca city | Keno |
---|---|---|
Mental Health Not Good | 20.0% | Data is updating% |
Physical Health Not Good | 13.6% | Data is updating% |
Depression | 27.0% | Data is updating% |
Smoking | 22.1% | Data is updating% |
Binge Drinking | 14.8% | Data is updating% |
Obesity | 40.0% | Data is updating% |
Disability Percentage | 19.0% | 14.0% |
Health Statistics Comparison: Ponca city vs Keno
- More residents in Ponca city report poor mental health at 20.0% compared to 0.0% in Keno.
- Depression is more prevalent in Ponca city at 27.0% compared to 0.0% in Keno.
- Smoking is more prevalent in Ponca city at 22.1% compared to 0.0% in Keno.
- Binge drinking is more common in Ponca city at 14.8% compared to 0.0% in Keno.
- Obesity rates are higher in Ponca city at 40.0% compared to 0.0% in Keno.
- Disability percentages are higher in Ponca city at 19.0% compared to 14.0% in Keno.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Ponca city | Keno |
---|---|---|
No Schooling | 0.2% (51) | 0.2% (6) |
High School Diploma | 17.0% (4,148) | 22.0% (678) |
Less than High School | 12.0% (2,914) | 16.6% (512) |
Bachelor's Degree and Higher | 12.6% (3,069) | 12.9% (398) |
Education Levels Comparison: Ponca city vs Keno
- The percentage of residents with no formal schooling is the same in both Ponca city and Keno at 0.2%.
- In Keno, the rate of residents with high school diplomas is higher at 22.0% compared to 17.0% in Ponca city.
- The percentage of residents with less than a high school education is higher in Keno at 16.6%, compared to 12.0% in Ponca city.
- In Keno, a larger share of residents have a bachelor's degree or higher at 12.9% compared to 12.6% in Ponca city.
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.