Demographics details for Westmoreland, TN vs Madison, NC
Population Overview
Compare main population characteristics in Westmoreland, TN vs Madison, NC.
Data | Westmoreland | Madison |
---|---|---|
Population | 2,757 | 21,768 |
Median Age | 36.8 years | 44.6 years |
Median Income | $58,194 | $56,664 |
Married Families | 40.0% | 45.0% |
Poverty Level | 8% | 10% |
Unemployment Rate | 3.5 | 3.6 |
Population Comparison: Westmoreland vs Madison
- The population in Madison is higher at 21,768, compared to 2,757 in Westmoreland.
- The median age in Madison is higher at 44.6 years, compared to 36.8 years in Westmoreland.
- Westmoreland has a higher median income of $58,194 compared to $56,664 in Madison.
- In Madison, the percentage of married families is higher at 45.0%, compared to 40.0% in Westmoreland.
- The poverty level is higher in Madison at 10%, compared to 8% in Westmoreland.
- Madison has a higher unemployment rate at 3.6% compared to 3.5% in Westmoreland.
Demographics
Demographics Westmoreland vs Madison provide insight into the diversity of the communities to compare.
Demographic | Westmoreland | Madison |
---|---|---|
Black | Data is updating | 1 |
White | 92 | 92 |
Asian | Data is updating | Data is updating |
Hispanic | 2 | 3 |
Two or More Races | 6 | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Westmoreland vs Madison
- In Madison, the percentage of Black residents is higher at 1% compared to 0% in Westmoreland.
- The percentage of White residents is the same in both Westmoreland and Madison at 92%.
- Both Westmoreland and Madison have the same percentage of Asian residents at 0%.
- Madison has a higher percentage of Hispanic residents at 3%, compared to 2% in Westmoreland.
- More residents identify as two or more races in Westmoreland at 6% compared to 4% in Madison.
- The percentage of American Indian residents is the same in both Westmoreland and Madison at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Westmoreland | Madison |
---|---|---|
Mental Health Not Good | 21.8% | 16.5% |
Physical Health Not Good | 15.7% | 11.2% |
Depression | 31.4% | 26.3% |
Smoking | 26.7% | 17.4% |
Binge Drinking | 14.6% | 18.0% |
Obesity | 38.6% | 35.5% |
Disability Percentage | 15.0% | 17.0% |
Health Statistics Comparison: Westmoreland vs Madison
- More residents in Westmoreland report poor mental health at 21.8% compared to 16.5% in Madison.
- Depression is more prevalent in Westmoreland at 31.4% compared to 26.3% in Madison.
- Smoking is more prevalent in Westmoreland at 26.7% compared to 17.4% in Madison.
- More residents engage in binge drinking in Madison at 18.0% compared to 14.6% in Westmoreland.
- Obesity rates are higher in Westmoreland at 38.6% compared to 35.5% in Madison.
- There is a higher percentage of disabled individuals in Madison at 17.0% compared to 15.0% in Westmoreland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Westmoreland | Madison |
---|---|---|
No Schooling | 0.4% (10) | 1.0% (208) |
High School Diploma | 25.0% (690) | 18.5% (4,035) |
Less than High School | 20.9% (577) | 15.5% (3,383) |
Bachelor's Degree and Higher | 6.3% (173) | 23.1% (5,029) |
Education Levels Comparison: Westmoreland vs Madison
- In Madison, a larger percentage of residents lack formal schooling at 1.0% compared to 0.4% in Westmoreland.
- A higher percentage of residents in Westmoreland hold a high school diploma at 25.0% compared to 18.5% in Madison.
- More residents in Westmoreland have less than a high school education at 20.9% compared to 15.5% in Madison.
- In Madison, a larger share of residents have a bachelor's degree or higher at 23.1% compared to 6.3% in Westmoreland.
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.