Demographics details for Campbell, OH vs Giddings, TX
Population Overview
Compare main population characteristics in Campbell, OH vs Giddings, TX.
| Data | Campbell | Giddings |
|---|---|---|
| Population | 7,743 | 5,129 |
| Median Age | 39.7 years | 40.2 years |
| Median Income | $43,176 | $63,529 |
| Married Families | 26.0% | 34.0% |
| Poverty Level | 24% | 10% |
| Unemployment Rate | 6.8 | 5.1 |
Population Comparison: Campbell vs Giddings
- In Campbell, the population is higher at 7,743, compared to 5,129 in Giddings.
- The median age in Giddings is higher at 40.2 years, compared to 39.7 years in Campbell.
- Giddings has a higher median income of $63,529, compared to $43,176 in Campbell.
- In Giddings, the percentage of married families is higher at 34.0%, compared to 26.0% in Campbell.
- Campbell has a higher poverty level at 24% compared to 10% in Giddings.
- The unemployment rate in Campbell is higher at 6.8%, compared to 5.1% in Giddings.
Demographics
Demographics Campbell vs Giddings provide insight into the diversity of the communities to compare.
| Demographic | Campbell | Giddings |
|---|---|---|
| Black | 20 | 11 |
| White | 40 | 24 |
| Asian | Data is updating | 1 |
| Hispanic | 27 | 48 |
| Two or More Races | 13 | 12 |
| American Indian | Data is updating | 4 |
Demographics Comparison: Campbell vs Giddings
- A higher percentage of Black residents are in Campbell at 20% compared to 11% in Giddings.
- Campbell has a higher percentage of White residents at 40% compared to 24% in Giddings.
- In Giddings, the Asian population stands at 1%, greater than 0% in Campbell.
- Giddings has a higher percentage of Hispanic residents at 48%, compared to 27% in Campbell.
- More residents identify as two or more races in Campbell at 13% compared to 12% in Giddings.
- In Giddings, the percentage of American Indian residents is higher at 4%, compared to 0% in Campbell.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Campbell | Giddings |
|---|---|---|
| Mental Health Not Good | 21.8% | 18.6% |
| Physical Health Not Good | 17.3% | 14.0% |
| Depression | 26.9% | 23.2% |
| Smoking | 29.5% | 19.6% |
| Binge Drinking | 14.3% | 16.8% |
| Obesity | 47.4% | 40.0% |
| Disability Percentage | 15.0% | 10.0% |
Health Statistics Comparison: Campbell vs Giddings
- More residents in Campbell report poor mental health at 21.8% compared to 18.6% in Giddings.
- Depression is more prevalent in Campbell at 26.9% compared to 23.2% in Giddings.
- Smoking is more prevalent in Campbell at 29.5% compared to 19.6% in Giddings.
- More residents engage in binge drinking in Giddings at 16.8% compared to 14.3% in Campbell.
- Obesity rates are higher in Campbell at 47.4% compared to 40.0% in Giddings.
- Disability percentages are higher in Campbell at 15.0% compared to 10.0% in Giddings.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Campbell | Giddings |
|---|---|---|
| No Schooling | 1.2% (96) | 1.0% (53) |
| High School Diploma | 22.6% (1,748) | 26.1% (1,341) |
| Less than High School | 19.7% (1,524) | 22.3% (1,143) |
| Bachelor's Degree and Higher | 11.4% (886) | 8.8% (453) |
Education Levels Comparison: Campbell vs Giddings
- A higher percentage of residents in Campbell have no formal schooling at 1.2% compared to 1.0% in Giddings.
- In Giddings, the rate of residents with high school diplomas is higher at 26.1% compared to 22.6% in Campbell.
- The percentage of residents with less than a high school education is higher in Giddings at 22.3%, compared to 19.7% in Campbell.
- A higher percentage of residents in Campbell hold a bachelor's degree or higher at 11.4% compared to 8.8% in Giddings.
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.