Demographics details for Madrid, NE vs Keyser, WV
Population Overview
Compare main population characteristics in Madrid, NE vs Keyser, WV.
| Data | Madrid | Keyser |
|---|---|---|
| Population | 234 | 4,849 |
| Median Age | 44.4 years | 39.1 years |
| Median Income | $68,333 | $46,724 |
| Married Families | 42.0% | 36.0% |
| Poverty Level | 5% | 15% |
| Unemployment Rate | 2.5 | 4.3 |
Population Comparison: Madrid vs Keyser
- The population in Keyser is higher at 4,849, compared to 234 in Madrid.
- Residents in Madrid have a higher median age of 44.4 years compared to 39.1 years in Keyser.
- Madrid has a higher median income of $68,333 compared to $46,724 in Keyser.
- A higher percentage of married families is found in Madrid at 42.0% compared to 36.0% in Keyser.
- The poverty level is higher in Keyser at 15%, compared to 5% in Madrid.
- Keyser has a higher unemployment rate at 4.3% compared to 2.5% in Madrid.
Demographics
Demographics Madrid vs Keyser provide insight into the diversity of the communities to compare.
| Demographic | Madrid | Keyser |
|---|---|---|
| Black | Data is updating | 4 |
| White | 94 | 95 |
| Asian | Data is updating | Data is updating |
| Hispanic | 2 | Data is updating |
| Two or More Races | 4 | 1 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Madrid vs Keyser
- In Keyser, the percentage of Black residents is higher at 4% compared to 0% in Madrid.
- The percentage of White residents is higher in Keyser at 95% compared to 94% in Madrid.
- Both Madrid and Keyser have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Madrid at 2% compared to 0% in Keyser.
- More residents identify as two or more races in Madrid at 4% compared to 1% in Keyser.
- The percentage of American Indian residents is the same in both Madrid and Keyser at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Madrid | Keyser |
|---|---|---|
| Mental Health Not Good | 13.4% | 20.0% |
| Physical Health Not Good | 8.8% | 13.6% |
| Depression | 17.0% | 27.3% |
| Smoking | 14.5% | 20.8% |
| Binge Drinking | 22.8% | 14.4% |
| Obesity | 40.4% | 35.3% |
| Disability Percentage | 10.0% | 20.0% |
Health Statistics Comparison: Madrid vs Keyser
- In Keyser, a higher percentage report poor mental health at 20.0% compared to 13.4% in Madrid.
- Higher depression rates are seen in Keyser at 27.3% versus 17.0% in Madrid.
- Keyser has a higher smoking rate at 20.8% compared to 14.5% in Madrid.
- Binge drinking is more common in Madrid at 22.8% compared to 14.4% in Keyser.
- Obesity rates are higher in Madrid at 40.4% compared to 35.3% in Keyser.
- There is a higher percentage of disabled individuals in Keyser at 20.0% compared to 10.0% in Madrid.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Madrid | Keyser |
|---|---|---|
| No Schooling | 1.3% (3) | 0.0% (Data is updating) |
| High School Diploma | 11.5% (27) | 22.3% (1,081) |
| Less than High School | 27.8% (65) | 15.1% (734) |
| Bachelor's Degree and Higher | 6.8% (16) | 18.8% (914) |
Education Levels Comparison: Madrid vs Keyser
- A higher percentage of residents in Madrid have no formal schooling at 1.3% compared to 0.0% in Keyser.
- In Keyser, the rate of residents with high school diplomas is higher at 22.3% compared to 11.5% in Madrid.
- More residents in Madrid have less than a high school education at 27.8% compared to 15.1% in Keyser.
- In Keyser, a larger share of residents have a bachelor's degree or higher at 18.8% compared to 6.8% in Madrid.
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.