Demographics details for Morrow, OH vs Webster, FL
Population Overview
Compare main population characteristics in Morrow, OH vs Webster, FL.
Data | Morrow | Webster |
---|---|---|
Population | 35,339 | 878 |
Median Age | 42.7 years | 42.4 years |
Median Income | $70,412 | $53,125 |
Married Families | 44.0% | 35.0% |
Poverty Level | 9% | 12% |
Unemployment Rate | 5.1 | 3.5 |
Population Comparison: Morrow vs Webster
- In Morrow, the population is higher at 35,339, compared to 878 in Webster.
- Residents in Morrow have a higher median age of 42.7 years compared to 42.4 years in Webster.
- Morrow has a higher median income of $70,412 compared to $53,125 in Webster.
- A higher percentage of married families is found in Morrow at 44.0% compared to 35.0% in Webster.
- The poverty level is higher in Webster at 12%, compared to 9% in Morrow.
- The unemployment rate in Morrow is higher at 5.1%, compared to 3.5% in Webster.
Demographics
Demographics Morrow vs Webster provide insight into the diversity of the communities to compare.
Demographic | Morrow | Webster |
---|---|---|
Black | 1 | 15 |
White | 95 | 75 |
Asian | Data is updating | Data is updating |
Hispanic | 2 | 62 |
Two or More Races | 2 | 31 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Morrow vs Webster
- In Webster, the percentage of Black residents is higher at 15% compared to 1% in Morrow.
- Morrow has a higher percentage of White residents at 95% compared to 75% in Webster.
- Both Morrow and Webster have the same percentage of Asian residents at 0%.
- Webster has a higher percentage of Hispanic residents at 62%, compared to 2% in Morrow.
- The percentage of residents identifying as two or more races is higher in Webster at 31%, compared to 2% in Morrow.
- The percentage of American Indian residents is the same in both Morrow and Webster at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Morrow | Webster |
---|---|---|
Mental Health Not Good | 17.8% | 18.9% |
Physical Health Not Good | 12.0% | 15.6% |
Depression | 24.1% | 20.6% |
Smoking | 21.5% | 26.9% |
Binge Drinking | 17.9% | 14.7% |
Obesity | 41.0% | 42.4% |
Disability Percentage | 15.0% | 19.0% |
Health Statistics Comparison: Morrow vs Webster
- In Webster, a higher percentage report poor mental health at 18.9% compared to 17.8% in Morrow.
- Depression is more prevalent in Morrow at 24.1% compared to 20.6% in Webster.
- Webster has a higher smoking rate at 26.9% compared to 21.5% in Morrow.
- Binge drinking is more common in Morrow at 17.9% compared to 14.7% in Webster.
- Webster has higher obesity rates at 42.4% compared to 41.0% in Morrow.
- There is a higher percentage of disabled individuals in Webster at 19.0% compared to 15.0% in Morrow.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Morrow | Webster |
---|---|---|
No Schooling | 0.9% (304) | 5.8% (51) |
High School Diploma | 27.6% (9,740) | 32.9% (289) |
Less than High School | 14.2% (5,010) | 36.4% (320) |
Bachelor's Degree and Higher | 11.8% (4,154) | 9.3% (82) |
Education Levels Comparison: Morrow vs Webster
- In Webster, a larger percentage of residents lack formal schooling at 5.8% compared to 0.9% in Morrow.
- In Webster, the rate of residents with high school diplomas is higher at 32.9% compared to 27.6% in Morrow.
- The percentage of residents with less than a high school education is higher in Webster at 36.4%, compared to 14.2% in Morrow.
- A higher percentage of residents in Morrow hold a bachelor's degree or higher at 11.8% compared to 9.3% in Webster.
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.