Demographics details for Bloomfield, KY vs What cheer, IA
Population Overview
Compare main population characteristics in Bloomfield, KY vs What cheer, IA.
| Data | Bloomfield | What cheer |
|---|---|---|
| Population | 970 | 597 |
| Median Age | 52.4 years | 34.8 years |
| Median Income | $44,922 | $45,500 |
| Married Families | 49.0% | 45.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 4.5 | 3.9 |
Population Comparison: Bloomfield vs What cheer
- In Bloomfield, the population is higher at 970, compared to 597 in What cheer.
- Residents in Bloomfield have a higher median age of 52.4 years compared to 34.8 years in What cheer.
- What cheer has a higher median income of $45,500, compared to $44,922 in Bloomfield.
- A higher percentage of married families is found in Bloomfield at 49.0% compared to 45.0% in What cheer.
- The poverty level is higher in What cheer at 12%, compared to 10% in Bloomfield.
- The unemployment rate in Bloomfield is higher at 4.5%, compared to 3.9% in What cheer.
Demographics
Demographics Bloomfield vs What cheer provide insight into the diversity of the communities to compare.
| Demographic | Bloomfield | What cheer |
|---|---|---|
| Black | 2 | 3 |
| White | 94 | 87 |
| Asian | Data is updating | Data is updating |
| Hispanic | 1 | 6 |
| Two or More Races | 3 | 4 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Bloomfield vs What cheer
- In What cheer, the percentage of Black residents is higher at 3% compared to 2% in Bloomfield.
- Bloomfield has a higher percentage of White residents at 94% compared to 87% in What cheer.
- Both Bloomfield and What cheer have the same percentage of Asian residents at 0%.
- What cheer has a higher percentage of Hispanic residents at 6%, compared to 1% in Bloomfield.
- The percentage of residents identifying as two or more races is higher in What cheer at 4%, compared to 3% in Bloomfield.
- The percentage of American Indian residents is the same in both Bloomfield and What cheer at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Bloomfield | What cheer |
|---|---|---|
| Mental Health Not Good | 19.3% | 17.0% |
| Physical Health Not Good | 14.0% | 11.3% |
| Depression | 27.4% | 20.1% |
| Smoking | 22.2% | 21.2% |
| Binge Drinking | 15.6% | 21.0% |
| Obesity | 38.5% | 40.1% |
| Disability Percentage | 29.0% | 30.0% |
Health Statistics Comparison: Bloomfield vs What cheer
- More residents in Bloomfield report poor mental health at 19.3% compared to 17.0% in What cheer.
- Depression is more prevalent in Bloomfield at 27.4% compared to 20.1% in What cheer.
- Smoking is more prevalent in Bloomfield at 22.2% compared to 21.2% in What cheer.
- More residents engage in binge drinking in What cheer at 21.0% compared to 15.6% in Bloomfield.
- What cheer has higher obesity rates at 40.1% compared to 38.5% in Bloomfield.
- There is a higher percentage of disabled individuals in What cheer at 30.0% compared to 29.0% in Bloomfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Bloomfield | What cheer |
|---|---|---|
| No Schooling | 0.5% (5) | 1.5% (9) |
| High School Diploma | 19.7% (191) | 31.8% (190) |
| Less than High School | 14.2% (138) | 11.9% (71) |
| Bachelor's Degree and Higher | 19.3% (187) | 5.0% (30) |
Education Levels Comparison: Bloomfield vs What cheer
- In What cheer, a larger percentage of residents lack formal schooling at 1.5% compared to 0.5% in Bloomfield.
- In What cheer, the rate of residents with high school diplomas is higher at 31.8% compared to 19.7% in Bloomfield.
- More residents in Bloomfield have less than a high school education at 14.2% compared to 11.9% in What cheer.
- A higher percentage of residents in Bloomfield hold a bachelor's degree or higher at 19.3% compared to 5.0% in What cheer.
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.