Demographics details for Madrid, NE vs White house, TN
Population Overview
Compare main population characteristics in Madrid, NE vs White house, TN.
| Data | Madrid | White house |
|---|---|---|
| Population | 234 | 14,516 |
| Median Age | 44.4 years | 36.5 years |
| Median Income | $68,333 | $85,404 |
| Married Families | 42.0% | 46.0% |
| Poverty Level | 5% | 7% |
| Unemployment Rate | 2.5 | 3.4 |
Population Comparison: Madrid vs White house
- The population in White house is higher at 14,516, compared to 234 in Madrid.
- Residents in Madrid have a higher median age of 44.4 years compared to 36.5 years in White house.
- White house has a higher median income of $85,404, compared to $68,333 in Madrid.
- In White house, the percentage of married families is higher at 46.0%, compared to 42.0% in Madrid.
- The poverty level is higher in White house at 7%, compared to 5% in Madrid.
- White house has a higher unemployment rate at 3.4% compared to 2.5% in Madrid.
Demographics
Demographics Madrid vs White house provide insight into the diversity of the communities to compare.
| Demographic | Madrid | White house |
|---|---|---|
| Black | Data is updating | 2 |
| White | 94 | 87 |
| Asian | Data is updating | 1 |
| Hispanic | 2 | 4 |
| Two or More Races | 4 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Madrid vs White house
- In White house, the percentage of Black residents is higher at 2% compared to 0% in Madrid.
- Madrid has a higher percentage of White residents at 94% compared to 87% in White house.
- In White house, the Asian population stands at 1%, greater than 0% in Madrid.
- White house has a higher percentage of Hispanic residents at 4%, compared to 2% in Madrid.
- The percentage of residents identifying as two or more races is higher in White house at 6%, compared to 4% in Madrid.
- The percentage of American Indian residents is the same in both Madrid and White house at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Madrid | White house |
|---|---|---|
| Mental Health Not Good | 13.4% | 17.5% |
| Physical Health Not Good | 8.8% | 11.0% |
| Depression | 17.0% | 27.6% |
| Smoking | 14.5% | 17.7% |
| Binge Drinking | 22.8% | 16.7% |
| Obesity | 40.4% | 32.5% |
| Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Madrid vs White house
- In White house, a higher percentage report poor mental health at 17.5% compared to 13.4% in Madrid.
- Higher depression rates are seen in White house at 27.6% versus 17.0% in Madrid.
- White house has a higher smoking rate at 17.7% compared to 14.5% in Madrid.
- Binge drinking is more common in Madrid at 22.8% compared to 16.7% in White house.
- Obesity rates are higher in Madrid at 40.4% compared to 32.5% in White house.
- There is a higher percentage of disabled individuals in White house at 11.0% 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 | White house |
|---|---|---|
| No Schooling | 1.3% (3) | 0.2% (30) |
| High School Diploma | 11.5% (27) | 18.0% (2,617) |
| Less than High School | 27.8% (65) | 12.4% (1,794) |
| Bachelor's Degree and Higher | 6.8% (16) | 15.4% (2,235) |
Education Levels Comparison: Madrid vs White house
- A higher percentage of residents in Madrid have no formal schooling at 1.3% compared to 0.2% in White house.
- In White house, the rate of residents with high school diplomas is higher at 18.0% compared to 11.5% in Madrid.
- More residents in Madrid have less than a high school education at 27.8% compared to 12.4% in White house.
- In White house, a larger share of residents have a bachelor's degree or higher at 15.4% 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.