Demographics details for Ponca city, OK vs Moberly, MO
Population Overview
Compare main population characteristics in Ponca city, OK vs Moberly, MO.
Data | Ponca city | Moberly |
---|---|---|
Population | 24,340 | 13,774 |
Median Age | 37.0 years | 37.5 years |
Median Income | $51,367 | $39,332 |
Married Families | 34.0% | 27.0% |
Poverty Level | 18% | 13% |
Unemployment Rate | 4.4 | 4.2 |
Population Comparison: Ponca city vs Moberly
- In Ponca city, the population is higher at 24,340, compared to 13,774 in Moberly.
- The median age in Moberly is higher at 37.5 years, compared to 37.0 years in Ponca city.
- Ponca city has a higher median income of $51,367 compared to $39,332 in Moberly.
- A higher percentage of married families is found in Ponca city at 34.0% compared to 27.0% in Moberly.
- Ponca city has a higher poverty level at 18% compared to 13% in Moberly.
- The unemployment rate in Ponca city is higher at 4.4%, compared to 4.2% in Moberly.
Demographics
Demographics Ponca city vs Moberly provide insight into the diversity of the communities to compare.
Demographic | Ponca city | Moberly |
---|---|---|
Black | 3 | 9 |
White | 67 | 81 |
Asian | 1 | 1 |
Hispanic | 9 | 3 |
Two or More Races | 12 | 6 |
American Indian | 8 | Data is updating |
Demographics Comparison: Ponca city vs Moberly
- In Moberly, the percentage of Black residents is higher at 9% compared to 3% in Ponca city.
- The percentage of White residents is higher in Moberly at 81% compared to 67% in Ponca city.
- Both Ponca city and Moberly have the same percentage of Asian residents at 1%.
- The Hispanic community is larger in Ponca city at 9% compared to 3% in Moberly.
- More residents identify as two or more races in Ponca city at 12% compared to 6% in Moberly.
- A greater percentage of American Indian residents live in Ponca city at 8% compared to 0% in Moberly.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ponca city | Moberly |
---|---|---|
Mental Health Not Good | 20.0% | 19.5% |
Physical Health Not Good | 13.6% | 14.9% |
Depression | 27.0% | 26.1% |
Smoking | 22.1% | 24.6% |
Binge Drinking | 14.8% | 16.6% |
Obesity | 40.0% | 44.1% |
Disability Percentage | 19.0% | 15.0% |
Health Statistics Comparison: Ponca city vs Moberly
- More residents in Ponca city report poor mental health at 20.0% compared to 19.5% in Moberly.
- Depression is more prevalent in Ponca city at 27.0% compared to 26.1% in Moberly.
- Moberly has a higher smoking rate at 24.6% compared to 22.1% in Ponca city.
- More residents engage in binge drinking in Moberly at 16.6% compared to 14.8% in Ponca city.
- Moberly has higher obesity rates at 44.1% compared to 40.0% in Ponca city.
- Disability percentages are higher in Ponca city at 19.0% compared to 15.0% in Moberly.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Ponca city | Moberly |
---|---|---|
No Schooling | 0.2% (51) | 1.0% (132) |
High School Diploma | 17.0% (4,148) | 22.9% (3,149) |
Less than High School | 12.0% (2,914) | 14.7% (2,021) |
Bachelor's Degree and Higher | 12.6% (3,069) | 11.0% (1,514) |
Education Levels Comparison: Ponca city vs Moberly
- In Moberly, a larger percentage of residents lack formal schooling at 1.0% compared to 0.2% in Ponca city.
- In Moberly, the rate of residents with high school diplomas is higher at 22.9% compared to 17.0% in Ponca city.
- The percentage of residents with less than a high school education is higher in Moberly at 14.7%, compared to 12.0% in Ponca city.
- A higher percentage of residents in Ponca city hold a bachelor's degree or higher at 12.6% compared to 11.0% in Moberly.
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.