Demographics details for Huntingdon, TN vs Bieber, CA
Population Overview
Compare main population characteristics in Huntingdon, TN vs Bieber, CA.
| Data | Huntingdon | Bieber |
|---|---|---|
| Population | 4,424 | 151 |
| Median Age | 33.4 years | 33.6 years |
| Median Income | $46,167 | $46,667 |
| Married Families | 43.0% | 34.0% |
| Poverty Level | 14% | Data is updating |
| Unemployment Rate | 4.5 | 5.1 |
Population Comparison: Huntingdon vs Bieber
- In Huntingdon, the population is higher at 4,424, compared to 151 in Bieber.
- The median age in Bieber is higher at 33.6 years, compared to 33.4 years in Huntingdon.
- Bieber has a higher median income of $46,667, compared to $46,167 in Huntingdon.
- A higher percentage of married families is found in Huntingdon at 43.0% compared to 34.0% in Bieber.
- Huntingdon has a higher poverty level at 14% compared to 0% in Bieber.
- Bieber has a higher unemployment rate at 5.1% compared to 4.5% in Huntingdon.
Demographics
Demographics Huntingdon vs Bieber provide insight into the diversity of the communities to compare.
| Demographic | Huntingdon | Bieber |
|---|---|---|
| Black | 15 | Data is updating |
| White | 79 | 94 |
| Asian | Data is updating | Data is updating |
| Hispanic | Data is updating | 3 |
| Two or More Races | 6 | 3 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Huntingdon vs Bieber
- A higher percentage of Black residents are in Huntingdon at 15% compared to 0% in Bieber.
- The percentage of White residents is higher in Bieber at 94% compared to 79% in Huntingdon.
- Both Huntingdon and Bieber have the same percentage of Asian residents at 0%.
- Bieber has a higher percentage of Hispanic residents at 3%, compared to 0% in Huntingdon.
- More residents identify as two or more races in Huntingdon at 6% compared to 3% in Bieber.
- The percentage of American Indian residents is the same in both Huntingdon and Bieber at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Huntingdon | Bieber |
|---|---|---|
| Mental Health Not Good | 20.2% | 17.6% |
| Physical Health Not Good | 14.3% | 11.9% |
| Depression | 28.5% | 21.1% |
| Smoking | 23.9% | 14.9% |
| Binge Drinking | 15.1% | 18.1% |
| Obesity | 37.8% | 30.8% |
| Disability Percentage | 26.0% | 19.0% |
Health Statistics Comparison: Huntingdon vs Bieber
- More residents in Huntingdon report poor mental health at 20.2% compared to 17.6% in Bieber.
- Depression is more prevalent in Huntingdon at 28.5% compared to 21.1% in Bieber.
- Smoking is more prevalent in Huntingdon at 23.9% compared to 14.9% in Bieber.
- More residents engage in binge drinking in Bieber at 18.1% compared to 15.1% in Huntingdon.
- Obesity rates are higher in Huntingdon at 37.8% compared to 30.8% in Bieber.
- Disability percentages are higher in Huntingdon at 26.0% compared to 19.0% in Bieber.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Huntingdon | Bieber |
|---|---|---|
| No Schooling | 1.0% (44) | 0.0% (Data is updating) |
| High School Diploma | 17.9% (794) | 13.2% (20) |
| Less than High School | 17.5% (776) | 5.3% (8) |
| Bachelor's Degree and Higher | 16.5% (731) | 6.0% (9) |
Education Levels Comparison: Huntingdon vs Bieber
- A higher percentage of residents in Huntingdon have no formal schooling at 1.0% compared to 0.0% in Bieber.
- A higher percentage of residents in Huntingdon hold a high school diploma at 17.9% compared to 13.2% in Bieber.
- More residents in Huntingdon have less than a high school education at 17.5% compared to 5.3% in Bieber.
- A higher percentage of residents in Huntingdon hold a bachelor's degree or higher at 16.5% compared to 6.0% in Bieber.
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.