Demographics details for Moore, OK vs Haines falls, NY
Population Overview
Compare main population characteristics in Moore, OK vs Haines falls, NY.
| Data | Moore | Haines falls |
|---|---|---|
| Population | 63,223 | 281 |
| Median Age | 33.8 years | 43.0 years |
| Median Income | $73,285 | $70,100 |
| Married Families | 40.0% | 41.0% |
| Poverty Level | 11% | 8% |
| Unemployment Rate | 3.1 | 4.5 |
Population Comparison: Moore vs Haines falls
- In Moore, the population is higher at 63,223, compared to 281 in Haines falls.
- The median age in Haines falls is higher at 43.0 years, compared to 33.8 years in Moore.
- Moore has a higher median income of $73,285 compared to $70,100 in Haines falls.
- In Haines falls, the percentage of married families is higher at 41.0%, compared to 40.0% in Moore.
- Moore has a higher poverty level at 11% compared to 8% in Haines falls.
- Haines falls has a higher unemployment rate at 4.5% compared to 3.1% in Moore.
Demographics
Demographics Moore vs Haines falls provide insight into the diversity of the communities to compare.
| Demographic | Moore | Haines falls |
|---|---|---|
| Black | 5 | Data is updating |
| White | 66 | 90 |
| Asian | 3 | Data is updating |
| Hispanic | 11 | 5 |
| Two or More Races | 11 | 3 |
| American Indian | 4 | 2 |
Demographics Comparison: Moore vs Haines falls
- A higher percentage of Black residents are in Moore at 5% compared to 0% in Haines falls.
- The percentage of White residents is higher in Haines falls at 90% compared to 66% in Moore.
- The Asian population is larger in Moore at 3% compared to 0% in Haines falls.
- The Hispanic community is larger in Moore at 11% compared to 5% in Haines falls.
- More residents identify as two or more races in Moore at 11% compared to 3% in Haines falls.
- A greater percentage of American Indian residents live in Moore at 4% compared to 2% in Haines falls.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Moore | Haines falls |
|---|---|---|
| Mental Health Not Good | 16.7% | Data is updating% |
| Physical Health Not Good | 11.0% | Data is updating% |
| Depression | 25.5% | Data is updating% |
| Smoking | 16.7% | Data is updating% |
| Binge Drinking | 16.2% | Data is updating% |
| Obesity | 34.4% | Data is updating% |
| Disability Percentage | 14.0% | Data is updating% |
Health Statistics Comparison: Moore vs Haines falls
- More residents in Moore report poor mental health at 16.7% compared to 0.0% in Haines falls.
- Depression is more prevalent in Moore at 25.5% compared to 0.0% in Haines falls.
- Smoking is more prevalent in Moore at 16.7% compared to 0.0% in Haines falls.
- Binge drinking is more common in Moore at 16.2% compared to 0.0% in Haines falls.
- Obesity rates are higher in Moore at 34.4% compared to 0.0% in Haines falls.
- Disability percentages are higher in Moore at 14.0% compared to 0.0% in Haines falls.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Moore | Haines falls |
|---|---|---|
| No Schooling | 1.1% (694) | 0.0% (Data is updating) |
| High School Diploma | 15.4% (9,764) | 0.0% (Data is updating) |
| Less than High School | 10.6% (6,721) | 0.0% (Data is updating) |
| Bachelor's Degree and Higher | 17.6% (11,158) | 0.0% (Data is updating) |
Education Levels Comparison: Moore vs Haines falls
- A higher percentage of residents in Moore have no formal schooling at 1.1% compared to 0.0% in Haines falls.
- A higher percentage of residents in Moore hold a high school diploma at 15.4% compared to 0.0% in Haines falls.
- More residents in Moore have less than a high school education at 10.6% compared to 0.0% in Haines falls.
- A higher percentage of residents in Moore hold a bachelor's degree or higher at 17.6% compared to 0.0% in Haines falls.
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.