Demographics details for Cabot, AR vs Christiansburg, OH
Population Overview
Compare main population characteristics in Cabot, AR vs Christiansburg, OH.
| Data | Cabot | Christiansburg |
|---|---|---|
| Population | 26,844 | 501 |
| Median Age | 35.7 years | 34.5 years |
| Median Income | $69,094 | $72,375 |
| Married Families | 40.0% | 38.0% |
| Poverty Level | 9% | 8% |
| Unemployment Rate | 3.0 | 4.5 |
Population Comparison: Cabot vs Christiansburg
- In Cabot, the population is higher at 26,844, compared to 501 in Christiansburg.
- Residents in Cabot have a higher median age of 35.7 years compared to 34.5 years in Christiansburg.
- Christiansburg has a higher median income of $72,375, compared to $69,094 in Cabot.
- A higher percentage of married families is found in Cabot at 40.0% compared to 38.0% in Christiansburg.
- Cabot has a higher poverty level at 9% compared to 8% in Christiansburg.
- Christiansburg has a higher unemployment rate at 4.5% compared to 3.0% in Cabot.
Demographics
Demographics Cabot vs Christiansburg provide insight into the diversity of the communities to compare.
| Demographic | Cabot | Christiansburg |
|---|---|---|
| Black | 4 | 1 |
| White | 84 | 95 |
| Asian | 1 | Data is updating |
| Hispanic | 5 | Data is updating |
| Two or More Races | 6 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Cabot vs Christiansburg
- A higher percentage of Black residents are in Cabot at 4% compared to 1% in Christiansburg.
- The percentage of White residents is higher in Christiansburg at 95% compared to 84% in Cabot.
- The Asian population is larger in Cabot at 1% compared to 0% in Christiansburg.
- The Hispanic community is larger in Cabot at 5% compared to 0% in Christiansburg.
- More residents identify as two or more races in Cabot at 6% compared to 4% in Christiansburg.
- The percentage of American Indian residents is the same in both Cabot and Christiansburg at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Cabot | Christiansburg |
|---|---|---|
| Mental Health Not Good | 18.6% | 17.6% |
| Physical Health Not Good | 12.2% | 11.7% |
| Depression | 27.7% | 24.5% |
| Smoking | 19.1% | 21.0% |
| Binge Drinking | 15.9% | 18.8% |
| Obesity | 36.0% | 39.9% |
| Disability Percentage | 14.0% | 18.0% |
Health Statistics Comparison: Cabot vs Christiansburg
- More residents in Cabot report poor mental health at 18.6% compared to 17.6% in Christiansburg.
- Depression is more prevalent in Cabot at 27.7% compared to 24.5% in Christiansburg.
- Christiansburg has a higher smoking rate at 21.0% compared to 19.1% in Cabot.
- More residents engage in binge drinking in Christiansburg at 18.8% compared to 15.9% in Cabot.
- Christiansburg has higher obesity rates at 39.9% compared to 36.0% in Cabot.
- There is a higher percentage of disabled individuals in Christiansburg at 18.0% compared to 14.0% in Cabot.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Cabot | Christiansburg |
|---|---|---|
| No Schooling | 1.0% (261) | 0.4% (2) |
| High School Diploma | 18.0% (4,840) | 29.7% (149) |
| Less than High School | 7.7% (2,068) | 11.6% (58) |
| Bachelor's Degree and Higher | 16.2% (4,354) | 7.8% (39) |
Education Levels Comparison: Cabot vs Christiansburg
- A higher percentage of residents in Cabot have no formal schooling at 1.0% compared to 0.4% in Christiansburg.
- In Christiansburg, the rate of residents with high school diplomas is higher at 29.7% compared to 18.0% in Cabot.
- The percentage of residents with less than a high school education is higher in Christiansburg at 11.6%, compared to 7.7% in Cabot.
- A higher percentage of residents in Cabot hold a bachelor's degree or higher at 16.2% compared to 7.8% in Christiansburg.
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.