Demographics details for Keyser, WV vs Montgomery, AL
Population Overview
Compare main population characteristics in Keyser, WV vs Montgomery, AL.
| Data | Keyser | Montgomery |
|---|---|---|
| Population | 4,849 | 196,986 |
| Median Age | 39.1 years | 36.1 years |
| Median Income | $46,724 | $54,166 |
| Married Families | 36.0% | 28.0% |
| Poverty Level | 15% | 15% |
| Unemployment Rate | 4.3 | 3.2 |
Population Comparison: Keyser vs Montgomery
- The population in Montgomery is higher at 196,986, compared to 4,849 in Keyser.
- Residents in Keyser have a higher median age of 39.1 years compared to 36.1 years in Montgomery.
- Montgomery has a higher median income of $54,166, compared to $46,724 in Keyser.
- A higher percentage of married families is found in Keyser at 36.0% compared to 28.0% in Montgomery.
- The poverty level is identical in both Keyser and Montgomery at 15%.
- The unemployment rate in Keyser is higher at 4.3%, compared to 3.2% in Montgomery.
Demographics
Demographics Keyser vs Montgomery provide insight into the diversity of the communities to compare.
| Demographic | Keyser | Montgomery |
|---|---|---|
| Black | 4 | 64 |
| White | 95 | 25 |
| Asian | Data is updating | 4 |
| Hispanic | Data is updating | 4 |
| Two or More Races | 1 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Keyser vs Montgomery
- In Montgomery, the percentage of Black residents is higher at 64% compared to 4% in Keyser.
- Keyser has a higher percentage of White residents at 95% compared to 25% in Montgomery.
- In Montgomery, the Asian population stands at 4%, greater than 0% in Keyser.
- Montgomery has a higher percentage of Hispanic residents at 4%, compared to 0% in Keyser.
- The percentage of residents identifying as two or more races is higher in Montgomery at 3%, compared to 1% in Keyser.
- The percentage of American Indian residents is the same in both Keyser and Montgomery at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Keyser | Montgomery |
|---|---|---|
| Mental Health Not Good | 20.0% | 18.8% |
| Physical Health Not Good | 13.6% | 13.3% |
| Depression | 27.3% | 20.2% |
| Smoking | 20.8% | 18.9% |
| Binge Drinking | 14.4% | 14.2% |
| Obesity | 35.3% | 38.4% |
| Disability Percentage | 20.0% | 17.0% |
Health Statistics Comparison: Keyser vs Montgomery
- More residents in Keyser report poor mental health at 20.0% compared to 18.8% in Montgomery.
- Depression is more prevalent in Keyser at 27.3% compared to 20.2% in Montgomery.
- Smoking is more prevalent in Keyser at 20.8% compared to 18.9% in Montgomery.
- Binge drinking is more common in Keyser at 14.4% compared to 14.2% in Montgomery.
- Montgomery has higher obesity rates at 38.4% compared to 35.3% in Keyser.
- Disability percentages are higher in Keyser at 20.0% compared to 17.0% in Montgomery.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Keyser | Montgomery |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.8% (1,627) |
| High School Diploma | 22.3% (1,081) | 14.0% (27,586) |
| Less than High School | 15.1% (734) | 10.0% (19,602) |
| Bachelor's Degree and Higher | 18.8% (914) | 22.1% (43,498) |
Education Levels Comparison: Keyser vs Montgomery
- In Montgomery, a larger percentage of residents lack formal schooling at 0.8% compared to 0.0% in Keyser.
- A higher percentage of residents in Keyser hold a high school diploma at 22.3% compared to 14.0% in Montgomery.
- More residents in Keyser have less than a high school education at 15.1% compared to 10.0% in Montgomery.
- In Montgomery, a larger share of residents have a bachelor's degree or higher at 22.1% compared to 18.8% in Keyser.
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.