Demographics details for Morrow, GA vs White house, TN
Population Overview
Compare main population characteristics in Morrow, GA vs White house, TN.
| Data | Morrow | White house |
|---|---|---|
| Population | 6,426 | 14,516 |
| Median Age | 28.9 years | 36.5 years |
| Median Income | $64,890 | $85,404 |
| Married Families | 34.0% | 46.0% |
| Poverty Level | 12% | 7% |
| Unemployment Rate | 4.5 | 3.4 |
Population Comparison: Morrow vs White house
- The population in White house is higher at 14,516, compared to 6,426 in Morrow.
- The median age in White house is higher at 36.5 years, compared to 28.9 years in Morrow.
- White house has a higher median income of $85,404, compared to $64,890 in Morrow.
- In White house, the percentage of married families is higher at 46.0%, compared to 34.0% in Morrow.
- Morrow has a higher poverty level at 12% compared to 7% in White house.
- The unemployment rate in Morrow is higher at 4.5%, compared to 3.4% in White house.
Demographics
Demographics Morrow vs White house provide insight into the diversity of the communities to compare.
| Demographic | Morrow | White house |
|---|---|---|
| Black | 37 | 2 |
| White | 22 | 87 |
| Asian | 29 | 1 |
| Hispanic | 28 | 4 |
| Two or More Races | 7 | 6 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Morrow vs White house
- A higher percentage of Black residents are in Morrow at 37% compared to 2% in White house.
- The percentage of White residents is higher in White house at 87% compared to 22% in Morrow.
- The Asian population is larger in Morrow at 29% compared to 1% in White house.
- The Hispanic community is larger in Morrow at 28% compared to 4% in White house.
- More residents identify as two or more races in Morrow at 7% compared to 6% in White house.
- The percentage of American Indian residents is the same in both Morrow and White house at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Morrow | White house |
|---|---|---|
| Mental Health Not Good | 16.8% | 17.5% |
| Physical Health Not Good | 13.2% | 11.0% |
| Depression | 16.2% | 27.6% |
| Smoking | 19.1% | 17.7% |
| Binge Drinking | 12.3% | 16.7% |
| Obesity | 37.5% | 32.5% |
| Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Morrow vs White house
- In White house, a higher percentage report poor mental health at 17.5% compared to 16.8% in Morrow.
- Higher depression rates are seen in White house at 27.6% versus 16.2% in Morrow.
- Smoking is more prevalent in Morrow at 19.1% compared to 17.7% in White house.
- More residents engage in binge drinking in White house at 16.7% compared to 12.3% in Morrow.
- Obesity rates are higher in Morrow at 37.5% 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 Morrow.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Morrow | White house |
|---|---|---|
| No Schooling | 2.6% (168) | 0.2% (30) |
| High School Diploma | 14.5% (929) | 18.0% (2,617) |
| Less than High School | 19.9% (1,280) | 12.4% (1,794) |
| Bachelor's Degree and Higher | 10.0% (642) | 15.4% (2,235) |
Education Levels Comparison: Morrow vs White house
- A higher percentage of residents in Morrow have no formal schooling at 2.6% 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 14.5% in Morrow.
- More residents in Morrow have less than a high school education at 19.9% 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 10.0% in Morrow.
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.