Demographics details for Morrow, GA vs Broken arrow, OK
Population Overview
Compare main population characteristics in Morrow, GA vs Broken arrow, OK.
| Data | Morrow | Broken arrow |
|---|---|---|
| Population | 6,426 | 117,911 |
| Median Age | 28.9 years | 36.8 years |
| Median Income | $64,890 | $82,547 |
| Married Families | 34.0% | 43.0% |
| Poverty Level | 12% | 10% |
| Unemployment Rate | 4.5 | 3.3 |
Population Comparison: Morrow vs Broken arrow
- The population in Broken arrow is higher at 117,911, compared to 6,426 in Morrow.
- The median age in Broken arrow is higher at 36.8 years, compared to 28.9 years in Morrow.
- Broken arrow has a higher median income of $82,547, compared to $64,890 in Morrow.
- In Broken arrow, the percentage of married families is higher at 43.0%, compared to 34.0% in Morrow.
- Morrow has a higher poverty level at 12% compared to 10% in Broken arrow.
- The unemployment rate in Morrow is higher at 4.5%, compared to 3.3% in Broken arrow.
Demographics
Demographics Morrow vs Broken arrow provide insight into the diversity of the communities to compare.
| Demographic | Morrow | Broken arrow |
|---|---|---|
| Black | 37 | 5 |
| White | 22 | 65 |
| Asian | 29 | 4 |
| Hispanic | 28 | 10 |
| Two or More Races | 7 | 11 |
| American Indian | Data is updating | 5 |
Demographics Comparison: Morrow vs Broken arrow
- A higher percentage of Black residents are in Morrow at 37% compared to 5% in Broken arrow.
- The percentage of White residents is higher in Broken arrow at 65% compared to 22% in Morrow.
- The Asian population is larger in Morrow at 29% compared to 4% in Broken arrow.
- The Hispanic community is larger in Morrow at 28% compared to 10% in Broken arrow.
- The percentage of residents identifying as two or more races is higher in Broken arrow at 11%, compared to 7% in Morrow.
- In Broken arrow, the percentage of American Indian residents is higher at 5%, compared to 0% in Morrow.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Morrow | Broken arrow |
|---|---|---|
| Mental Health Not Good | 16.8% | 16.8% |
| Physical Health Not Good | 13.2% | 10.3% |
| Depression | 16.2% | 25.0% |
| Smoking | 19.1% | 14.9% |
| Binge Drinking | 12.3% | 15.0% |
| Obesity | 37.5% | 34.6% |
| Disability Percentage | 10.0% | 11.0% |
Health Statistics Comparison: Morrow vs Broken arrow
- Poor mental health levels are equal in both Morrow and Broken arrow at 16.8%.
- Higher depression rates are seen in Broken arrow at 25.0% versus 16.2% in Morrow.
- Smoking is more prevalent in Morrow at 19.1% compared to 14.9% in Broken arrow.
- More residents engage in binge drinking in Broken arrow at 15.0% compared to 12.3% in Morrow.
- Obesity rates are higher in Morrow at 37.5% compared to 34.6% in Broken arrow.
- There is a higher percentage of disabled individuals in Broken arrow 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 | Broken arrow |
|---|---|---|
| No Schooling | 2.6% (168) | 0.8% (935) |
| High School Diploma | 14.5% (929) | 13.2% (15,535) |
| Less than High School | 19.9% (1,280) | 6.6% (7,783) |
| Bachelor's Degree and Higher | 10.0% (642) | 22.2% (26,196) |
Education Levels Comparison: Morrow vs Broken arrow
- A higher percentage of residents in Morrow have no formal schooling at 2.6% compared to 0.8% in Broken arrow.
- A higher percentage of residents in Morrow hold a high school diploma at 14.5% compared to 13.2% in Broken arrow.
- More residents in Morrow have less than a high school education at 19.9% compared to 6.6% in Broken arrow.
- In Broken arrow, a larger share of residents have a bachelor's degree or higher at 22.2% 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.