Demographics details for Cleveland, OH vs Duncanville, TX
Population Overview
Compare main population characteristics in Cleveland, OH vs Duncanville, TX.
Data | Cleveland | Duncanville |
---|---|---|
Population | 361,607 | 39,413 |
Median Age | 36.3 years | 36.9 years |
Median Income | $37,271 | $66,601 |
Married Families | 20.0% | 36.0% |
Poverty Level | 23% | 13% |
Unemployment Rate | 5.7 | 4.7 |
Population Comparison: Cleveland vs Duncanville
- In Cleveland, the population is higher at 361,607, compared to 39,413 in Duncanville.
- The median age in Duncanville is higher at 36.9 years, compared to 36.3 years in Cleveland.
- Duncanville has a higher median income of $66,601, compared to $37,271 in Cleveland.
- In Duncanville, the percentage of married families is higher at 36.0%, compared to 20.0% in Cleveland.
- Cleveland has a higher poverty level at 23% compared to 13% in Duncanville.
- The unemployment rate in Cleveland is higher at 5.7%, compared to 4.7% in Duncanville.
Demographics
Demographics Cleveland vs Duncanville provide insight into the diversity of the communities to compare.
Demographic | Cleveland | Duncanville |
---|---|---|
Black | 48 | 33 |
White | 28 | 10 |
Asian | 3 | 2 |
Hispanic | 13 | 43 |
Two or More Races | 8 | 11 |
American Indian | Data is updating | 1 |
Demographics Comparison: Cleveland vs Duncanville
- A higher percentage of Black residents are in Cleveland at 48% compared to 33% in Duncanville.
- Cleveland has a higher percentage of White residents at 28% compared to 10% in Duncanville.
- The Asian population is larger in Cleveland at 3% compared to 2% in Duncanville.
- Duncanville has a higher percentage of Hispanic residents at 43%, compared to 13% in Cleveland.
- The percentage of residents identifying as two or more races is higher in Duncanville at 11%, compared to 8% in Cleveland.
- In Duncanville, the percentage of American Indian residents is higher at 1%, compared to 0% in Cleveland.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Cleveland | Duncanville |
---|---|---|
Mental Health Not Good | 20.2% | 17.2% |
Physical Health Not Good | 16.6% | 12.0% |
Depression | 24.0% | 22.0% |
Smoking | 27.1% | 16.9% |
Binge Drinking | 14.8% | 17.6% |
Obesity | 42.1% | 36.6% |
Disability Percentage | 20.0% | 12.0% |
Health Statistics Comparison: Cleveland vs Duncanville
- More residents in Cleveland report poor mental health at 20.2% compared to 17.2% in Duncanville.
- Depression is more prevalent in Cleveland at 24.0% compared to 22.0% in Duncanville.
- Smoking is more prevalent in Cleveland at 27.1% compared to 16.9% in Duncanville.
- More residents engage in binge drinking in Duncanville at 17.6% compared to 14.8% in Cleveland.
- Obesity rates are higher in Cleveland at 42.1% compared to 36.6% in Duncanville.
- Disability percentages are higher in Cleveland at 20.0% compared to 12.0% in Duncanville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Cleveland | Duncanville |
---|---|---|
No Schooling | 1.6% (5,667) | 2.6% (1,044) |
High School Diploma | 19.0% (68,853) | 16.8% (6,623) |
Less than High School | 17.5% (63,329) | 21.4% (8,451) |
Bachelor's Degree and Higher | 14.3% (51,656) | 15.8% (6,219) |
Education Levels Comparison: Cleveland vs Duncanville
- In Duncanville, a larger percentage of residents lack formal schooling at 2.6% compared to 1.6% in Cleveland.
- A higher percentage of residents in Cleveland hold a high school diploma at 19.0% compared to 16.8% in Duncanville.
- The percentage of residents with less than a high school education is higher in Duncanville at 21.4%, compared to 17.5% in Cleveland.
- In Duncanville, a larger share of residents have a bachelor's degree or higher at 15.8% compared to 14.3% in Cleveland.
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.