Demographics details for Ponca city, OK vs Santa maria, CA
Population Overview
Compare main population characteristics in Ponca city, OK vs Santa maria, CA.
Data | Ponca city | Santa maria |
---|---|---|
Population | 24,340 | 110,125 |
Median Age | 37.0 years | 29.3 years |
Median Income | $51,367 | $81,237 |
Married Families | 34.0% | 31.0% |
Poverty Level | 18% | 15% |
Unemployment Rate | 4.4 | 5.0 |
Population Comparison: Ponca city vs Santa maria
- The population in Santa maria is higher at 110,125, compared to 24,340 in Ponca city.
- Residents in Ponca city have a higher median age of 37.0 years compared to 29.3 years in Santa maria.
- Santa maria has a higher median income of $81,237, compared to $51,367 in Ponca city.
- A higher percentage of married families is found in Ponca city at 34.0% compared to 31.0% in Santa maria.
- Ponca city has a higher poverty level at 18% compared to 15% in Santa maria.
- Santa maria has a higher unemployment rate at 5.0% compared to 4.4% in Ponca city.
Demographics
Demographics Ponca city vs Santa maria provide insight into the diversity of the communities to compare.
Demographic | Ponca city | Santa maria |
---|---|---|
Black | 3 | 1 |
White | 67 | -13 |
Asian | 1 | 5 |
Hispanic | 9 | 77 |
Two or More Races | 12 | 28 |
American Indian | 8 | 2 |
Demographics Comparison: Ponca city vs Santa maria
- A higher percentage of Black residents are in Ponca city at 3% compared to 1% in Santa maria.
- Ponca city has a higher percentage of White residents at 67% compared to -13% in Santa maria.
- In Santa maria, the Asian population stands at 5%, greater than 1% in Ponca city.
- Santa maria has a higher percentage of Hispanic residents at 77%, compared to 9% in Ponca city.
- The percentage of residents identifying as two or more races is higher in Santa maria at 28%, compared to 12% in Ponca city.
- A greater percentage of American Indian residents live in Ponca city at 8% compared to 2% in Santa maria.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Ponca city | Santa maria |
---|---|---|
Mental Health Not Good | 20.0% | 17.2% |
Physical Health Not Good | 13.6% | 14.2% |
Depression | 27.0% | 19.5% |
Smoking | 22.1% | 15.3% |
Binge Drinking | 14.8% | 14.9% |
Obesity | 40.0% | 32.8% |
Disability Percentage | 19.0% | 10.0% |
Health Statistics Comparison: Ponca city vs Santa maria
- More residents in Ponca city report poor mental health at 20.0% compared to 17.2% in Santa maria.
- Depression is more prevalent in Ponca city at 27.0% compared to 19.5% in Santa maria.
- Smoking is more prevalent in Ponca city at 22.1% compared to 15.3% in Santa maria.
- More residents engage in binge drinking in Santa maria at 14.9% compared to 14.8% in Ponca city.
- Obesity rates are higher in Ponca city at 40.0% compared to 32.8% in Santa maria.
- Disability percentages are higher in Ponca city at 19.0% compared to 10.0% in Santa maria.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Ponca city | Santa maria |
---|---|---|
No Schooling | 0.2% (51) | 3.9% (4,329) |
High School Diploma | 17.0% (4,148) | 10.4% (11,486) |
Less than High School | 12.0% (2,914) | 40.4% (44,477) |
Bachelor's Degree and Higher | 12.6% (3,069) | 8.1% (8,930) |
Education Levels Comparison: Ponca city vs Santa maria
- In Santa maria, a larger percentage of residents lack formal schooling at 3.9% compared to 0.2% in Ponca city.
- A higher percentage of residents in Ponca city hold a high school diploma at 17.0% compared to 10.4% in Santa maria.
- The percentage of residents with less than a high school education is higher in Santa maria at 40.4%, 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 8.1% in Santa maria.
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.