Demographics details for Montgomery, NY vs Warner robins, GA
Population Overview
Compare main population characteristics in Montgomery, NY vs Warner robins, GA.
Data | Montgomery | Warner robins |
---|---|---|
Population | 49,623 | 82,175 |
Median Age | 40.6 years | 32.4 years |
Median Income | $58,033 | $63,678 |
Married Families | 34.0% | 32.0% |
Poverty Level | 10% | 8% |
Unemployment Rate | 4.2 | 3.8 |
Population Comparison: Montgomery vs Warner robins
- The population in Warner robins is higher at 82,175, compared to 49,623 in Montgomery.
- Residents in Montgomery have a higher median age of 40.6 years compared to 32.4 years in Warner robins.
- Warner robins has a higher median income of $63,678, compared to $58,033 in Montgomery.
- A higher percentage of married families is found in Montgomery at 34.0% compared to 32.0% in Warner robins.
- Montgomery has a higher poverty level at 10% compared to 8% in Warner robins.
- The unemployment rate in Montgomery is higher at 4.2%, compared to 3.8% in Warner robins.
Demographics
Demographics Montgomery vs Warner robins provide insight into the diversity of the communities to compare.
Demographic | Montgomery | Warner robins |
---|---|---|
Black | 3 | 40 |
White | 74 | 42 |
Asian | 1 | 3 |
Hispanic | 15 | 7 |
Two or More Races | 6 | 7 |
American Indian | 1 | 1 |
Demographics Comparison: Montgomery vs Warner robins
- In Warner robins, the percentage of Black residents is higher at 40% compared to 3% in Montgomery.
- Montgomery has a higher percentage of White residents at 74% compared to 42% in Warner robins.
- In Warner robins, the Asian population stands at 3%, greater than 1% in Montgomery.
- The Hispanic community is larger in Montgomery at 15% compared to 7% in Warner robins.
- The percentage of residents identifying as two or more races is higher in Warner robins at 7%, compared to 6% in Montgomery.
- The percentage of American Indian residents is the same in both Montgomery and Warner robins at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Montgomery | Warner robins |
---|---|---|
Mental Health Not Good | 16.7% | 17.6% |
Physical Health Not Good | 12.3% | 13.1% |
Depression | 23.2% | 22.1% |
Smoking | 20.4% | 18.6% |
Binge Drinking | 17.8% | 15.9% |
Obesity | 35.8% | 39.9% |
Disability Percentage | 16.0% | 12.0% |
Health Statistics Comparison: Montgomery vs Warner robins
- In Warner robins, a higher percentage report poor mental health at 17.6% compared to 16.7% in Montgomery.
- Depression is more prevalent in Montgomery at 23.2% compared to 22.1% in Warner robins.
- Smoking is more prevalent in Montgomery at 20.4% compared to 18.6% in Warner robins.
- Binge drinking is more common in Montgomery at 17.8% compared to 15.9% in Warner robins.
- Warner robins has higher obesity rates at 39.9% compared to 35.8% in Montgomery.
- Disability percentages are higher in Montgomery at 16.0% compared to 12.0% in Warner robins.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Montgomery | Warner robins |
---|---|---|
No Schooling | 1.1% (540) | 0.4% (335) |
High School Diploma | 20.6% (10,235) | 14.9% (12,260) |
Less than High School | 14.9% (7,375) | 7.0% (5,714) |
Bachelor's Degree and Higher | 13.7% (6,785) | 19.2% (15,752) |
Education Levels Comparison: Montgomery vs Warner robins
- A higher percentage of residents in Montgomery have no formal schooling at 1.1% compared to 0.4% in Warner robins.
- A higher percentage of residents in Montgomery hold a high school diploma at 20.6% compared to 14.9% in Warner robins.
- More residents in Montgomery have less than a high school education at 14.9% compared to 7.0% in Warner robins.
- In Warner robins, a larger share of residents have a bachelor's degree or higher at 19.2% compared to 13.7% in Montgomery.
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.