Demographics details for Luana, IA vs New riegel, OH
Population Overview
Compare main population characteristics in Luana, IA vs New riegel, OH.
Data | Luana | New riegel |
---|---|---|
Population | 305 | 282 |
Median Age | 25.8 years | 32.3 years |
Median Income | $60,313 | $57,500 |
Married Families | 34.0% | 46.0% |
Poverty Level | Data is updating | 6% |
Unemployment Rate | 2.9 | 2.5 |
Population Comparison: Luana vs New riegel
- In Luana, the population is higher at 305, compared to 282 in New riegel.
- The median age in New riegel is higher at 32.3 years, compared to 25.8 years in Luana.
- Luana has a higher median income of $60,313 compared to $57,500 in New riegel.
- In New riegel, the percentage of married families is higher at 46.0%, compared to 34.0% in Luana.
- The poverty level is higher in New riegel at 6%, compared to 0% in Luana.
- The unemployment rate in Luana is higher at 2.9%, compared to 2.5% in New riegel.
Demographics
Demographics Luana vs New riegel provide insight into the diversity of the communities to compare.
Demographic | Luana | New riegel |
---|---|---|
Black | 1 | Data is updating |
White | 96 | 69 |
Asian | Data is updating | Data is updating |
Hispanic | 1 | 21 |
Two or More Races | 2 | 10 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Luana vs New riegel
- A higher percentage of Black residents are in Luana at 1% compared to 0% in New riegel.
- Luana has a higher percentage of White residents at 96% compared to 69% in New riegel.
- Both Luana and New riegel have the same percentage of Asian residents at 0%.
- New riegel has a higher percentage of Hispanic residents at 21%, compared to 1% in Luana.
- The percentage of residents identifying as two or more races is higher in New riegel at 10%, compared to 2% in Luana.
- The percentage of American Indian residents is the same in both Luana and New riegel at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Luana | New riegel |
---|---|---|
Mental Health Not Good | 17.0% | 16.3% |
Physical Health Not Good | 11.3% | 10.6% |
Depression | 19.2% | 22.8% |
Smoking | 20.8% | 19.3% |
Binge Drinking | 21.5% | 19.4% |
Obesity | 40.9% | 39.6% |
Disability Percentage | 8.0% | 18.0% |
Health Statistics Comparison: Luana vs New riegel
- More residents in Luana report poor mental health at 17.0% compared to 16.3% in New riegel.
- Higher depression rates are seen in New riegel at 22.8% versus 19.2% in Luana.
- Smoking is more prevalent in Luana at 20.8% compared to 19.3% in New riegel.
- Binge drinking is more common in Luana at 21.5% compared to 19.4% in New riegel.
- Obesity rates are higher in Luana at 40.9% compared to 39.6% in New riegel.
- There is a higher percentage of disabled individuals in New riegel at 18.0% compared to 8.0% in Luana.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Luana | New riegel |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 17.0% (52) | 27.7% (78) |
Less than High School | 4.6% (14) | 12.8% (36) |
Bachelor's Degree and Higher | 7.9% (24) | 11.3% (32) |
Education Levels Comparison: Luana vs New riegel
- The percentage of residents with no formal schooling is the same in both Luana and New riegel at 0.0%.
- In New riegel, the rate of residents with high school diplomas is higher at 27.7% compared to 17.0% in Luana.
- The percentage of residents with less than a high school education is higher in New riegel at 12.8%, compared to 4.6% in Luana.
- In New riegel, a larger share of residents have a bachelor's degree or higher at 11.3% compared to 7.9% in Luana.
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.