Demographics details for Colbert, OK vs Palmyra, NY
Population Overview
Compare main population characteristics in Colbert, OK vs Palmyra, NY.
Data | Colbert | Palmyra |
---|---|---|
Population | 1,074 | 7,552 |
Median Age | 43.9 years | 39.0 years |
Median Income | $53,600 | $65,000 |
Married Families | 44.0% | 48.0% |
Poverty Level | 15% | 7% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: Colbert vs Palmyra
- The population in Palmyra is higher at 7,552, compared to 1,074 in Colbert.
- Residents in Colbert have a higher median age of 43.9 years compared to 39.0 years in Palmyra.
- Palmyra has a higher median income of $65,000, compared to $53,600 in Colbert.
- In Palmyra, the percentage of married families is higher at 48.0%, compared to 44.0% in Colbert.
- Colbert has a higher poverty level at 15% compared to 7% in Palmyra.
- The unemployment rate is the same in both Colbert and Palmyra at 3.5%.
Demographics
Demographics Colbert vs Palmyra provide insight into the diversity of the communities to compare.
Demographic | Colbert | Palmyra |
---|---|---|
Black | 12 | Data is updating |
White | 66 | 100 |
Asian | Data is updating | Data is updating |
Hispanic | 4 | Data is updating |
Two or More Races | 8 | Data is updating |
American Indian | 10 | Data is updating |
Demographics Comparison: Colbert vs Palmyra
- A higher percentage of Black residents are in Colbert at 12% compared to 0% in Palmyra.
- The percentage of White residents is higher in Palmyra at 100% compared to 66% in Colbert.
- Both Colbert and Palmyra have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Colbert at 4% compared to 0% in Palmyra.
- More residents identify as two or more races in Colbert at 8% compared to 0% in Palmyra.
- A greater percentage of American Indian residents live in Colbert at 10% compared to 0% in Palmyra.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Colbert | Palmyra |
---|---|---|
Mental Health Not Good | 19.1% | Data is updating% |
Physical Health Not Good | 13.7% | Data is updating% |
Depression | 25.5% | Data is updating% |
Smoking | 21.6% | Data is updating% |
Binge Drinking | 14.3% | Data is updating% |
Obesity | 43.2% | Data is updating% |
Disability Percentage | 26.0% | Data is updating% |
Health Statistics Comparison: Colbert vs Palmyra
- More residents in Colbert report poor mental health at 19.1% compared to 0.0% in Palmyra.
- Depression is more prevalent in Colbert at 25.5% compared to 0.0% in Palmyra.
- Smoking is more prevalent in Colbert at 21.6% compared to 0.0% in Palmyra.
- Binge drinking is more common in Colbert at 14.3% compared to 0.0% in Palmyra.
- Obesity rates are higher in Colbert at 43.2% compared to 0.0% in Palmyra.
- Disability percentages are higher in Colbert at 26.0% compared to 0.0% in Palmyra.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Colbert | Palmyra |
---|---|---|
No Schooling | 0.5% (5) | 0.0% (Data is updating) |
High School Diploma | 33.7% (362) | 0.0% (Data is updating) |
Less than High School | 31.4% (337) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 16.8% (180) | 0.0% (Data is updating) |
Education Levels Comparison: Colbert vs Palmyra
- A higher percentage of residents in Colbert have no formal schooling at 0.5% compared to 0.0% in Palmyra.
- A higher percentage of residents in Colbert hold a high school diploma at 33.7% compared to 0.0% in Palmyra.
- More residents in Colbert have less than a high school education at 31.4% compared to 0.0% in Palmyra.
- A higher percentage of residents in Colbert hold a bachelor's degree or higher at 16.8% compared to 0.0% in Palmyra.
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.