Demographics details for Ada, OK vs Diamond point, NY
Population Overview
Compare main population characteristics in Ada, OK vs Diamond point, NY.
| Data | Ada | Diamond point |
|---|---|---|
| Population | 16,542 | 247 |
| Median Age | 32.4 years | 58.0 years |
| Median Income | $47,264 | $60,000 |
| Married Families | 28.0% | 80.0% |
| Poverty Level | 14% | 5% |
| Unemployment Rate | 2.7 | 4.0 |
Population Comparison: Ada vs Diamond point
- In Ada, the population is higher at 16,542, compared to 247 in Diamond point.
- The median age in Diamond point is higher at 58.0 years, compared to 32.4 years in Ada.
- Diamond point has a higher median income of $60,000, compared to $47,264 in Ada.
- In Diamond point, the percentage of married families is higher at 80.0%, compared to 28.0% in Ada.
- Ada has a higher poverty level at 14% compared to 5% in Diamond point.
- Diamond point has a higher unemployment rate at 4.0% compared to 2.7% in Ada.
Demographics
Demographics Ada vs Diamond point provide insight into the diversity of the communities to compare.
| Demographic | Ada | Diamond point |
|---|---|---|
| Black | 5 | Data is updating |
| White | 55 | 95 |
| Asian | 2 | Data is updating |
| Hispanic | 6 | 3 |
| Two or More Races | 14 | 2 |
| American Indian | 18 | Data is updating |
Demographics Comparison: Ada vs Diamond point
- A higher percentage of Black residents are in Ada at 5% compared to 0% in Diamond point.
- The percentage of White residents is higher in Diamond point at 95% compared to 55% in Ada.
- The Asian population is larger in Ada at 2% compared to 0% in Diamond point.
- The Hispanic community is larger in Ada at 6% compared to 3% in Diamond point.
- More residents identify as two or more races in Ada at 14% compared to 2% in Diamond point.
- A greater percentage of American Indian residents live in Ada at 18% compared to 0% in Diamond point.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Ada | Diamond point |
|---|---|---|
| Mental Health Not Good | 19.4% | Data is updating% |
| Physical Health Not Good | 13.3% | Data is updating% |
| Depression | 26.3% | Data is updating% |
| Smoking | 21.3% | Data is updating% |
| Binge Drinking | 13.8% | Data is updating% |
| Obesity | 37.3% | Data is updating% |
| Disability Percentage | 17.0% | Data is updating% |
Health Statistics Comparison: Ada vs Diamond point
- More residents in Ada report poor mental health at 19.4% compared to 0.0% in Diamond point.
- Depression is more prevalent in Ada at 26.3% compared to 0.0% in Diamond point.
- Smoking is more prevalent in Ada at 21.3% compared to 0.0% in Diamond point.
- Binge drinking is more common in Ada at 13.8% compared to 0.0% in Diamond point.
- Obesity rates are higher in Ada at 37.3% compared to 0.0% in Diamond point.
- Disability percentages are higher in Ada at 17.0% compared to 0.0% in Diamond point.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Ada | Diamond point |
|---|---|---|
| No Schooling | 0.5% (89) | 0.0% (Data is updating) |
| High School Diploma | 15.2% (2,519) | 0.0% (Data is updating) |
| Less than High School | 12.5% (2,071) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 17.8% (2,952) | 0.0% (Data is updating) |
Education Levels Comparison: Ada vs Diamond point
- A higher percentage of residents in Ada have no formal schooling at 0.5% compared to 0.0% in Diamond point.
- A higher percentage of residents in Ada hold a high school diploma at 15.2% compared to 0.0% in Diamond point.
- More residents in Ada have less than a high school education at 12.5% compared to 0.0% in Diamond point.
- A higher percentage of residents in Ada hold a bachelor's degree or higher at 17.8% compared to 0.0% in Diamond point.
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.