Demographics details for Montgomery, NY vs Okeechobee, FL
Population Overview
Compare main population characteristics in Montgomery, NY vs Okeechobee, FL.
| Data | Montgomery | Okeechobee |
|---|---|---|
| Population | 49,623 | 40,412 |
| Median Age | 40.6 years | 40.8 years |
| Median Income | $58,033 | $50,476 |
| Married Families | 34.0% | 38.0% |
| Poverty Level | 10% | 16% |
| Unemployment Rate | 4.2 | 3.7 |
Population Comparison: Montgomery vs Okeechobee
- In Montgomery, the population is higher at 49,623, compared to 40,412 in Okeechobee.
- The median age in Okeechobee is higher at 40.8 years, compared to 40.6 years in Montgomery.
- Montgomery has a higher median income of $58,033 compared to $50,476 in Okeechobee.
- In Okeechobee, the percentage of married families is higher at 38.0%, compared to 34.0% in Montgomery.
- The poverty level is higher in Okeechobee at 16%, compared to 10% in Montgomery.
- The unemployment rate in Montgomery is higher at 4.2%, compared to 3.7% in Okeechobee.
Demographics
Demographics Montgomery vs Okeechobee provide insight into the diversity of the communities to compare.
| Demographic | Montgomery | Okeechobee |
|---|---|---|
| Black | 3 | 8 |
| White | 74 | 58 |
| Asian | 1 | 1 |
| Hispanic | 15 | 26 |
| Two or More Races | 6 | 7 |
| American Indian | 1 | Data is updating |
Demographics Comparison: Montgomery vs Okeechobee
- In Okeechobee, the percentage of Black residents is higher at 8% compared to 3% in Montgomery.
- Montgomery has a higher percentage of White residents at 74% compared to 58% in Okeechobee.
- Both Montgomery and Okeechobee have the same percentage of Asian residents at 1%.
- Okeechobee has a higher percentage of Hispanic residents at 26%, compared to 15% in Montgomery.
- The percentage of residents identifying as two or more races is higher in Okeechobee at 7%, compared to 6% in Montgomery.
- A greater percentage of American Indian residents live in Montgomery at 1% compared to 0% in Okeechobee.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Montgomery | Okeechobee |
|---|---|---|
| Mental Health Not Good | 16.7% | 17.3% |
| Physical Health Not Good | 12.3% | 13.1% |
| Depression | 23.2% | 20.1% |
| Smoking | 20.4% | 23.7% |
| Binge Drinking | 17.8% | 15.4% |
| Obesity | 35.8% | 33.9% |
| Disability Percentage | 16.0% | 15.0% |
Health Statistics Comparison: Montgomery vs Okeechobee
- In Okeechobee, a higher percentage report poor mental health at 17.3% compared to 16.7% in Montgomery.
- Depression is more prevalent in Montgomery at 23.2% compared to 20.1% in Okeechobee.
- Okeechobee has a higher smoking rate at 23.7% compared to 20.4% in Montgomery.
- Binge drinking is more common in Montgomery at 17.8% compared to 15.4% in Okeechobee.
- Obesity rates are higher in Montgomery at 35.8% compared to 33.9% in Okeechobee.
- Disability percentages are higher in Montgomery at 16.0% compared to 15.0% in Okeechobee.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Montgomery | Okeechobee |
|---|---|---|
| No Schooling | 1.1% (540) | 1.9% (751) |
| High School Diploma | 20.6% (10,235) | 18.6% (7,520) |
| Less than High School | 14.9% (7,375) | 26.7% (10,783) |
| Bachelor's Degree and Higher | 13.7% (6,785) | 11.8% (4,773) |
Education Levels Comparison: Montgomery vs Okeechobee
- In Okeechobee, a larger percentage of residents lack formal schooling at 1.9% compared to 1.1% in Montgomery.
- A higher percentage of residents in Montgomery hold a high school diploma at 20.6% compared to 18.6% in Okeechobee.
- The percentage of residents with less than a high school education is higher in Okeechobee at 26.7%, compared to 14.9% in Montgomery.
- A higher percentage of residents in Montgomery hold a bachelor's degree or higher at 13.7% compared to 11.8% in Okeechobee.
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.