Demographics details for Broken arrow, OK vs Carroll, IA
Population Overview
Compare main population characteristics in Broken arrow, OK vs Carroll, IA.
| Data | Broken arrow | Carroll |
|---|---|---|
| Population | 117,911 | 10,184 |
| Median Age | 36.8 years | 43.7 years |
| Median Income | $82,547 | $60,368 |
| Married Families | 43.0% | 39.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 3.3 | 3.5 |
Population Comparison: Broken arrow vs Carroll
- In Broken arrow, the population is higher at 117,911, compared to 10,184 in Carroll.
- The median age in Carroll is higher at 43.7 years, compared to 36.8 years in Broken arrow.
- Broken arrow has a higher median income of $82,547 compared to $60,368 in Carroll.
- A higher percentage of married families is found in Broken arrow at 43.0% compared to 39.0% in Carroll.
- The poverty level is identical in both Broken arrow and Carroll at 10%.
- Carroll has a higher unemployment rate at 3.5% compared to 3.3% in Broken arrow.
Demographics
Demographics Broken arrow vs Carroll provide insight into the diversity of the communities to compare.
| Demographic | Broken arrow | Carroll |
|---|---|---|
| Black | 5 | 2 |
| White | 65 | 91 |
| Asian | 4 | 1 |
| Hispanic | 10 | 4 |
| Two or More Races | 11 | 2 |
| American Indian | 5 | Data is updating |
Demographics Comparison: Broken arrow vs Carroll
- A higher percentage of Black residents are in Broken arrow at 5% compared to 2% in Carroll.
- The percentage of White residents is higher in Carroll at 91% compared to 65% in Broken arrow.
- The Asian population is larger in Broken arrow at 4% compared to 1% in Carroll.
- The Hispanic community is larger in Broken arrow at 10% compared to 4% in Carroll.
- More residents identify as two or more races in Broken arrow at 11% compared to 2% in Carroll.
- A greater percentage of American Indian residents live in Broken arrow at 5% compared to 0% in Carroll.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Broken arrow | Carroll |
|---|---|---|
| Mental Health Not Good | 16.8% | 15.5% |
| Physical Health Not Good | 10.3% | 9.8% |
| Depression | 25.0% | 19.3% |
| Smoking | 14.9% | 17.3% |
| Binge Drinking | 15.0% | 21.7% |
| Obesity | 34.6% | 39.0% |
| Disability Percentage | 11.0% | 15.0% |
Health Statistics Comparison: Broken arrow vs Carroll
- More residents in Broken arrow report poor mental health at 16.8% compared to 15.5% in Carroll.
- Depression is more prevalent in Broken arrow at 25.0% compared to 19.3% in Carroll.
- Carroll has a higher smoking rate at 17.3% compared to 14.9% in Broken arrow.
- More residents engage in binge drinking in Carroll at 21.7% compared to 15.0% in Broken arrow.
- Carroll has higher obesity rates at 39.0% compared to 34.6% in Broken arrow.
- There is a higher percentage of disabled individuals in Carroll at 15.0% compared to 11.0% in Broken arrow.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Broken arrow | Carroll |
|---|---|---|
| No Schooling | 0.8% (935) | 0.0% (Data is updating) |
| High School Diploma | 13.2% (15,535) | 22.7% (2,316) |
| Less than High School | 6.6% (7,783) | 7.3% (742) |
| Bachelor's Degree and Higher | 22.2% (26,196) | 17.3% (1,763) |
Education Levels Comparison: Broken arrow vs Carroll
- A higher percentage of residents in Broken arrow have no formal schooling at 0.8% compared to 0.0% in Carroll.
- In Carroll, the rate of residents with high school diplomas is higher at 22.7% compared to 13.2% in Broken arrow.
- The percentage of residents with less than a high school education is higher in Carroll at 7.3%, compared to 6.6% in Broken arrow.
- A higher percentage of residents in Broken arrow hold a bachelor's degree or higher at 22.2% compared to 17.3% in Carroll.
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.