Demographics details for Parker, SD vs Isabella, OK
Population Overview
Compare main population characteristics in Parker, SD vs Isabella, OK.
Data | Parker | Isabella |
---|---|---|
Population | 1,221 | 86 |
Median Age | 39.3 years | 28.6 years |
Median Income | $83,864 | $56,550 |
Married Families | 39.0% | 42.0% |
Poverty Level | 5% | 10% |
Unemployment Rate | 2.0 | 2.5 |
Population Comparison: Parker vs Isabella
- In Parker, the population is higher at 1,221, compared to 86 in Isabella.
- Residents in Parker have a higher median age of 39.3 years compared to 28.6 years in Isabella.
- Parker has a higher median income of $83,864 compared to $56,550 in Isabella.
- In Isabella, the percentage of married families is higher at 42.0%, compared to 39.0% in Parker.
- The poverty level is higher in Isabella at 10%, compared to 5% in Parker.
- Isabella has a higher unemployment rate at 2.5% compared to 2.0% in Parker.
Demographics
Demographics Parker vs Isabella provide insight into the diversity of the communities to compare.
Demographic | Parker | Isabella |
---|---|---|
Black | 4 | Data is updating |
White | 85 | 86 |
Asian | Data is updating | Data is updating |
Hispanic | 5 | Data is updating |
Two or More Races | 4 | Data is updating |
American Indian | 2 | 14 |
Demographics Comparison: Parker vs Isabella
- A higher percentage of Black residents are in Parker at 4% compared to 0% in Isabella.
- The percentage of White residents is higher in Isabella at 86% compared to 85% in Parker.
- Both Parker and Isabella have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Parker at 5% compared to 0% in Isabella.
- More residents identify as two or more races in Parker at 4% compared to 0% in Isabella.
- In Isabella, the percentage of American Indian residents is higher at 14%, compared to 2% in Parker.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Parker | Isabella |
---|---|---|
Mental Health Not Good | 13.5% | 17.1% |
Physical Health Not Good | 9.0% | 11.9% |
Depression | 17.8% | 23.6% |
Smoking | 16.4% | 19.0% |
Binge Drinking | 20.4% | 16.1% |
Obesity | 34.4% | 42.6% |
Disability Percentage | 5.0% | Data is updating% |
Health Statistics Comparison: Parker vs Isabella
- In Isabella, a higher percentage report poor mental health at 17.1% compared to 13.5% in Parker.
- Higher depression rates are seen in Isabella at 23.6% versus 17.8% in Parker.
- Isabella has a higher smoking rate at 19.0% compared to 16.4% in Parker.
- Binge drinking is more common in Parker at 20.4% compared to 16.1% in Isabella.
- Isabella has higher obesity rates at 42.6% compared to 34.4% in Parker.
- Disability percentages are higher in Parker at 5.0% compared to 0.0% in Isabella.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Parker | Isabella |
---|---|---|
No Schooling | 0.2% (3) | 0.0% (Data is updating) |
High School Diploma | 17.9% (218) | 44.2% (38) |
Less than High School | 13.0% (159) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 12.9% (158) | 16.3% (14) |
Education Levels Comparison: Parker vs Isabella
- A higher percentage of residents in Parker have no formal schooling at 0.2% compared to 0.0% in Isabella.
- In Isabella, the rate of residents with high school diplomas is higher at 44.2% compared to 17.9% in Parker.
- More residents in Parker have less than a high school education at 13.0% compared to 0.0% in Isabella.
- In Isabella, a larger share of residents have a bachelor's degree or higher at 16.3% compared to 12.9% in Parker.
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.