Demographics details for Colbert, OK vs Jeffersonville, NY
Population Overview
Compare main population characteristics in Colbert, OK vs Jeffersonville, NY.
Data | Colbert | Jeffersonville |
---|---|---|
Population | 1,074 | 394 |
Median Age | 43.9 years | 39.3 years |
Median Income | $53,600 | $55,000 |
Married Families | 44.0% | 39.0% |
Poverty Level | 15% | 10% |
Unemployment Rate | 3.5 | 4.2 |
Population Comparison: Colbert vs Jeffersonville
- In Colbert, the population is higher at 1,074, compared to 394 in Jeffersonville.
- Residents in Colbert have a higher median age of 43.9 years compared to 39.3 years in Jeffersonville.
- Jeffersonville has a higher median income of $55,000, compared to $53,600 in Colbert.
- A higher percentage of married families is found in Colbert at 44.0% compared to 39.0% in Jeffersonville.
- Colbert has a higher poverty level at 15% compared to 10% in Jeffersonville.
- Jeffersonville has a higher unemployment rate at 4.2% compared to 3.5% in Colbert.
Demographics
Demographics Colbert vs Jeffersonville provide insight into the diversity of the communities to compare.
Demographic | Colbert | Jeffersonville |
---|---|---|
Black | 12 | 9 |
White | 66 | 54 |
Asian | Data is updating | Data is updating |
Hispanic | 4 | 21 |
Two or More Races | 8 | 16 |
American Indian | 10 | Data is updating |
Demographics Comparison: Colbert vs Jeffersonville
- A higher percentage of Black residents are in Colbert at 12% compared to 9% in Jeffersonville.
- Colbert has a higher percentage of White residents at 66% compared to 54% in Jeffersonville.
- Both Colbert and Jeffersonville have the same percentage of Asian residents at 0%.
- Jeffersonville has a higher percentage of Hispanic residents at 21%, compared to 4% in Colbert.
- The percentage of residents identifying as two or more races is higher in Jeffersonville at 16%, compared to 8% in Colbert.
- A greater percentage of American Indian residents live in Colbert at 10% compared to 0% in Jeffersonville.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Colbert | Jeffersonville |
---|---|---|
Mental Health Not Good | 19.1% | 15.0% |
Physical Health Not Good | 13.7% | 9.9% |
Depression | 25.5% | 20.3% |
Smoking | 21.6% | 16.1% |
Binge Drinking | 14.3% | 18.8% |
Obesity | 43.2% | 33.6% |
Disability Percentage | 26.0% | 13.0% |
Health Statistics Comparison: Colbert vs Jeffersonville
- More residents in Colbert report poor mental health at 19.1% compared to 15.0% in Jeffersonville.
- Depression is more prevalent in Colbert at 25.5% compared to 20.3% in Jeffersonville.
- Smoking is more prevalent in Colbert at 21.6% compared to 16.1% in Jeffersonville.
- More residents engage in binge drinking in Jeffersonville at 18.8% compared to 14.3% in Colbert.
- Obesity rates are higher in Colbert at 43.2% compared to 33.6% in Jeffersonville.
- Disability percentages are higher in Colbert at 26.0% compared to 13.0% in Jeffersonville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Colbert | Jeffersonville |
---|---|---|
No Schooling | 0.5% (5) | 0.0% (Data is updating) |
High School Diploma | 33.7% (362) | 29.4% (116) |
Less than High School | 31.4% (337) | 16.5% (65) |
Bachelor's Degree and Higher | 16.8% (180) | 7.9% (31) |
Education Levels Comparison: Colbert vs Jeffersonville
- A higher percentage of residents in Colbert have no formal schooling at 0.5% compared to 0.0% in Jeffersonville.
- A higher percentage of residents in Colbert hold a high school diploma at 33.7% compared to 29.4% in Jeffersonville.
- More residents in Colbert have less than a high school education at 31.4% compared to 16.5% in Jeffersonville.
- A higher percentage of residents in Colbert hold a bachelor's degree or higher at 16.8% compared to 7.9% in Jeffersonville.
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.