Demographics details for Tea, SD vs Ponca city, OK
Population Overview
Compare main population characteristics in Tea, SD vs Ponca city, OK.
Data | Tea | Ponca city |
---|---|---|
Population | 6,918 | 24,340 |
Median Age | 30.2 years | 37.0 years |
Median Income | $99,153 | $51,367 |
Married Families | 39.0% | 34.0% |
Poverty Level | 6% | 18% |
Unemployment Rate | 2.5 | 4.4 |
Population Comparison: Tea vs Ponca city
- The population in Ponca city is higher at 24,340, compared to 6,918 in Tea.
- The median age in Ponca city is higher at 37.0 years, compared to 30.2 years in Tea.
- Tea has a higher median income of $99,153 compared to $51,367 in Ponca city.
- A higher percentage of married families is found in Tea at 39.0% compared to 34.0% in Ponca city.
- The poverty level is higher in Ponca city at 18%, compared to 6% in Tea.
- Ponca city has a higher unemployment rate at 4.4% compared to 2.5% in Tea.
Demographics
Demographics Tea vs Ponca city provide insight into the diversity of the communities to compare.
Demographic | Tea | Ponca city |
---|---|---|
Black | 2 | 3 |
White | 95 | 67 |
Asian | 1 | 1 |
Hispanic | Data is updating | 9 |
Two or More Races | 2 | 12 |
American Indian | Data is updating | 8 |
Demographics Comparison: Tea vs Ponca city
- In Ponca city, the percentage of Black residents is higher at 3% compared to 2% in Tea.
- Tea has a higher percentage of White residents at 95% compared to 67% in Ponca city.
- Both Tea and Ponca city have the same percentage of Asian residents at 1%.
- Ponca city has a higher percentage of Hispanic residents at 9%, compared to 0% in Tea.
- The percentage of residents identifying as two or more races is higher in Ponca city at 12%, compared to 2% in Tea.
- In Ponca city, the percentage of American Indian residents is higher at 8%, compared to 0% in Tea.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Tea | Ponca city |
---|---|---|
Mental Health Not Good | 11.3% | 20.0% |
Physical Health Not Good | 7.7% | 13.6% |
Depression | 16.6% | 27.0% |
Smoking | 12.6% | 22.1% |
Binge Drinking | 21.6% | 14.8% |
Obesity | 34.5% | 40.0% |
Disability Percentage | 4.0% | 19.0% |
Health Statistics Comparison: Tea vs Ponca city
- In Ponca city, a higher percentage report poor mental health at 20.0% compared to 11.3% in Tea.
- Higher depression rates are seen in Ponca city at 27.0% versus 16.6% in Tea.
- Ponca city has a higher smoking rate at 22.1% compared to 12.6% in Tea.
- Binge drinking is more common in Tea at 21.6% compared to 14.8% in Ponca city.
- Ponca city has higher obesity rates at 40.0% compared to 34.5% in Tea.
- There is a higher percentage of disabled individuals in Ponca city at 19.0% compared to 4.0% in Tea.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Tea | Ponca city |
---|---|---|
No Schooling | 0.1% (10) | 0.2% (51) |
High School Diploma | 7.8% (537) | 17.0% (4,148) |
Less than High School | 1.6% (108) | 12.0% (2,914) |
Bachelor's Degree and Higher | 19.9% (1,378) | 12.6% (3,069) |
Education Levels Comparison: Tea vs Ponca city
- In Ponca city, a larger percentage of residents lack formal schooling at 0.2% compared to 0.1% in Tea.
- In Ponca city, the rate of residents with high school diplomas is higher at 17.0% compared to 7.8% in Tea.
- The percentage of residents with less than a high school education is higher in Ponca city at 12.0%, compared to 1.6% in Tea.
- A higher percentage of residents in Tea hold a bachelor's degree or higher at 19.9% 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.