Demographics details for Broken arrow, OK vs Kaufman, TX
Population Overview
Compare main population characteristics in Broken arrow, OK vs Kaufman, TX.
| Data | Broken arrow | Kaufman |
|---|---|---|
| Population | 117,911 | 172,366 |
| Median Age | 36.8 years | 34.6 years |
| Median Income | $82,547 | $84,075 |
| Married Families | 43.0% | 36.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 3.3 | 4.8 |
Population Comparison: Broken arrow vs Kaufman
- The population in Kaufman is higher at 172,366, compared to 117,911 in Broken arrow.
- Residents in Broken arrow have a higher median age of 36.8 years compared to 34.6 years in Kaufman.
- Kaufman has a higher median income of $84,075, compared to $82,547 in Broken arrow.
- A higher percentage of married families is found in Broken arrow at 43.0% compared to 36.0% in Kaufman.
- The poverty level is identical in both Broken arrow and Kaufman at 10%.
- Kaufman has a higher unemployment rate at 4.8% compared to 3.3% in Broken arrow.
Demographics
Demographics Broken arrow vs Kaufman provide insight into the diversity of the communities to compare.
| Demographic | Broken arrow | Kaufman |
|---|---|---|
| Black | 5 | 13 |
| White | 65 | 53 |
| Asian | 4 | 1 |
| Hispanic | 10 | 22 |
| Two or More Races | 11 | 11 |
| American Indian | 5 | Data is updating |
Demographics Comparison: Broken arrow vs Kaufman
- In Kaufman, the percentage of Black residents is higher at 13% compared to 5% in Broken arrow.
- Broken arrow has a higher percentage of White residents at 65% compared to 53% in Kaufman.
- The Asian population is larger in Broken arrow at 4% compared to 1% in Kaufman.
- Kaufman has a higher percentage of Hispanic residents at 22%, compared to 10% in Broken arrow.
- Both Broken arrow and Kaufman have the same percentage of residents identifying as two or more races at 11%.
- A greater percentage of American Indian residents live in Broken arrow at 5% compared to 0% in Kaufman.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Broken arrow | Kaufman |
|---|---|---|
| Mental Health Not Good | 16.8% | 16.8% |
| Physical Health Not Good | 10.3% | 11.4% |
| Depression | 25.0% | 22.6% |
| Smoking | 14.9% | 16.1% |
| Binge Drinking | 15.0% | 18.2% |
| Obesity | 34.6% | 36.6% |
| Disability Percentage | 11.0% | 9.0% |
Health Statistics Comparison: Broken arrow vs Kaufman
- Poor mental health levels are equal in both Broken arrow and Kaufman at 16.8%.
- Depression is more prevalent in Broken arrow at 25.0% compared to 22.6% in Kaufman.
- Kaufman has a higher smoking rate at 16.1% compared to 14.9% in Broken arrow.
- More residents engage in binge drinking in Kaufman at 18.2% compared to 15.0% in Broken arrow.
- Kaufman has higher obesity rates at 36.6% compared to 34.6% in Broken arrow.
- Disability percentages are higher in Broken arrow at 11.0% compared to 9.0% in Kaufman.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Broken arrow | Kaufman |
|---|---|---|
| No Schooling | 0.8% (935) | 1.4% (2,482) |
| High School Diploma | 13.2% (15,535) | 12.9% (22,235) |
| Less than High School | 6.6% (7,783) | 14.2% (24,496) |
| Bachelor's Degree and Higher | 22.2% (26,196) | 13.1% (22,541) |
Education Levels Comparison: Broken arrow vs Kaufman
- In Kaufman, a larger percentage of residents lack formal schooling at 1.4% compared to 0.8% in Broken arrow.
- A higher percentage of residents in Broken arrow hold a high school diploma at 13.2% compared to 12.9% in Kaufman.
- The percentage of residents with less than a high school education is higher in Kaufman at 14.2%, 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 13.1% in Kaufman.
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.