Demographics details for Bailey, MS vs Morrow, OH
Population Overview
Compare main population characteristics in Bailey, MS vs Morrow, OH.
| Data | Bailey | Morrow |
|---|---|---|
| Population | Data is updating | 35,339 |
| Median Age | 42.0 years | 42.7 years |
| Median Income | $34,000 | $70,412 |
| Married Families | 50.0% | 44.0% |
| Poverty Level | 15% | 9% |
| Unemployment Rate | 5.0 | 5.1 |
Population Comparison: Bailey vs Morrow
- The population is identical in both Bailey and Morrow at None.
- The median age in Morrow is higher at 42.7 years, compared to 42.0 years in Bailey.
- Morrow has a higher median income of $70,412, compared to $34,000 in Bailey.
- A higher percentage of married families is found in Bailey at 50.0% compared to 44.0% in Morrow.
- Bailey has a higher poverty level at 15% compared to 9% in Morrow.
- Morrow has a higher unemployment rate at 5.1% compared to 5.0% in Bailey.
Demographics
Demographics Bailey vs Morrow provide insight into the diversity of the communities to compare.
| Demographic | Bailey | Morrow |
|---|---|---|
| Black | 20 | 1 |
| White | 70 | 95 |
| Asian | Data is updating | Data is updating |
| Hispanic | 5 | 2 |
| Two or More Races | 5 | 2 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bailey vs Morrow
- A higher percentage of Black residents are in Bailey at 20% compared to 1% in Morrow.
- The percentage of White residents is higher in Morrow at 95% compared to 70% in Bailey.
- Both Bailey and Morrow have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Bailey at 5% compared to 2% in Morrow.
- More residents identify as two or more races in Bailey at 5% compared to 2% in Morrow.
- The percentage of American Indian residents is the same in both Bailey and Morrow at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bailey | Morrow |
|---|---|---|
| Mental Health Not Good | Data is updating% | 17.8% |
| Physical Health Not Good | Data is updating% | 12.0% |
| Depression | Data is updating% | 24.1% |
| Smoking | Data is updating% | 21.5% |
| Binge Drinking | Data is updating% | 17.9% |
| Obesity | Data is updating% | 41.0% |
| Disability Percentage | Data is updating% | 15.0% |
Health Statistics Comparison: Bailey vs Morrow
- In Morrow, a higher percentage report poor mental health at 17.8% compared to 0.0% in Bailey.
- Higher depression rates are seen in Morrow at 24.1% versus 0.0% in Bailey.
- Morrow has a higher smoking rate at 21.5% compared to 0.0% in Bailey.
- More residents engage in binge drinking in Morrow at 17.9% compared to 0.0% in Bailey.
- Morrow has higher obesity rates at 41.0% compared to 0.0% in Bailey.
- There is a higher percentage of disabled individuals in Morrow at 15.0% compared to 0.0% in Bailey.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bailey | Morrow |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.9% (304) |
| High School Diploma | 0.0% (Data is updating) | 27.6% (9,740) |
| Less than High School | 0.0% (Data is updating) | 14.2% (5,010) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 11.8% (4,154) |
Education Levels Comparison: Bailey vs Morrow
- In Morrow, a larger percentage of residents lack formal schooling at 0.9% compared to 0.0% in Bailey.
- In Morrow, the rate of residents with high school diplomas is higher at 27.6% compared to 0.0% in Bailey.
- The percentage of residents with less than a high school education is higher in Morrow at 14.2%, compared to 0.0% in Bailey.
- In Morrow, a larger share of residents have a bachelor's degree or higher at 11.8% compared to 0.0% in Bailey.
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.