Demographics details for Giddings, TX vs Bloomfield, KY
Population Overview
Compare main population characteristics in Giddings, TX vs Bloomfield, KY.
| Data | Giddings | Bloomfield |
|---|---|---|
| Population | 5,129 | 970 |
| Median Age | 40.2 years | 52.4 years |
| Median Income | $63,529 | $44,922 |
| Married Families | 34.0% | 49.0% |
| Poverty Level | 10% | 10% |
| Unemployment Rate | 5.1 | 4.5 |
Population Comparison: Giddings vs Bloomfield
- In Giddings, the population is higher at 5,129, compared to 970 in Bloomfield.
- The median age in Bloomfield is higher at 52.4 years, compared to 40.2 years in Giddings.
- Giddings has a higher median income of $63,529 compared to $44,922 in Bloomfield.
- In Bloomfield, the percentage of married families is higher at 49.0%, compared to 34.0% in Giddings.
- The poverty level is identical in both Giddings and Bloomfield at 10%.
- The unemployment rate in Giddings is higher at 5.1%, compared to 4.5% in Bloomfield.
Demographics
Demographics Giddings vs Bloomfield provide insight into the diversity of the communities to compare.
| Demographic | Giddings | Bloomfield |
|---|---|---|
| Black | 11 | 2 |
| White | 24 | 94 |
| Asian | 1 | Data is updating |
| Hispanic | 48 | 1 |
| Two or More Races | 12 | 3 |
| American Indian | 4 | Data is updating |
Demographics Comparison: Giddings vs Bloomfield
- A higher percentage of Black residents are in Giddings at 11% compared to 2% in Bloomfield.
- The percentage of White residents is higher in Bloomfield at 94% compared to 24% in Giddings.
- The Asian population is larger in Giddings at 1% compared to 0% in Bloomfield.
- The Hispanic community is larger in Giddings at 48% compared to 1% in Bloomfield.
- More residents identify as two or more races in Giddings at 12% compared to 3% in Bloomfield.
- A greater percentage of American Indian residents live in Giddings at 4% compared to 0% in Bloomfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Giddings | Bloomfield |
|---|---|---|
| Mental Health Not Good | 18.6% | 19.3% |
| Physical Health Not Good | 14.0% | 14.0% |
| Depression | 23.2% | 27.4% |
| Smoking | 19.6% | 22.2% |
| Binge Drinking | 16.8% | 15.6% |
| Obesity | 40.0% | 38.5% |
| Disability Percentage | 10.0% | 29.0% |
Health Statistics Comparison: Giddings vs Bloomfield
- In Bloomfield, a higher percentage report poor mental health at 19.3% compared to 18.6% in Giddings.
- Higher depression rates are seen in Bloomfield at 27.4% versus 23.2% in Giddings.
- Bloomfield has a higher smoking rate at 22.2% compared to 19.6% in Giddings.
- Binge drinking is more common in Giddings at 16.8% compared to 15.6% in Bloomfield.
- Obesity rates are higher in Giddings at 40.0% compared to 38.5% in Bloomfield.
- There is a higher percentage of disabled individuals in Bloomfield at 29.0% 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 | Giddings | Bloomfield |
|---|---|---|
| No Schooling | 1.0% (53) | 0.5% (5) |
| High School Diploma | 26.1% (1,341) | 19.7% (191) |
| Less than High School | 22.3% (1,143) | 14.2% (138) |
| Bachelor's Degree and Higher | 8.8% (453) | 19.3% (187) |
Education Levels Comparison: Giddings vs Bloomfield
- A higher percentage of residents in Giddings have no formal schooling at 1.0% compared to 0.5% in Bloomfield.
- A higher percentage of residents in Giddings hold a high school diploma at 26.1% compared to 19.7% in Bloomfield.
- More residents in Giddings have less than a high school education at 22.3% compared to 14.2% in Bloomfield.
- In Bloomfield, a larger share of residents have a bachelor's degree or higher at 19.3% 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.