Demographics details for Enumclaw, WA vs Lore city, OH
Population Overview
Compare main population characteristics in Enumclaw, WA vs Lore city, OH.
Data | Enumclaw | Lore city |
---|---|---|
Population | 12,721 | 279 |
Median Age | 40.7 years | 28.4 years |
Median Income | $110,789 | $51,875 |
Married Families | 43.0% | 24.0% |
Poverty Level | 8% | 10% |
Unemployment Rate | 4.5 | 4.0 |
Population Comparison: Enumclaw vs Lore city
- In Enumclaw, the population is higher at 12,721, compared to 279 in Lore city.
- Residents in Enumclaw have a higher median age of 40.7 years compared to 28.4 years in Lore city.
- Enumclaw has a higher median income of $110,789 compared to $51,875 in Lore city.
- A higher percentage of married families is found in Enumclaw at 43.0% compared to 24.0% in Lore city.
- The poverty level is higher in Lore city at 10%, compared to 8% in Enumclaw.
- The unemployment rate in Enumclaw is higher at 4.5%, compared to 4.0% in Lore city.
Demographics
Demographics Enumclaw vs Lore city provide insight into the diversity of the communities to compare.
Demographic | Enumclaw | Lore city |
---|---|---|
Black | 1 | 3 |
White | 78 | 91 |
Asian | 2 | Data is updating |
Hispanic | 10 | 1 |
Two or More Races | 9 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Enumclaw vs Lore city
- In Lore city, the percentage of Black residents is higher at 3% compared to 1% in Enumclaw.
- The percentage of White residents is higher in Lore city at 91% compared to 78% in Enumclaw.
- The Asian population is larger in Enumclaw at 2% compared to 0% in Lore city.
- The Hispanic community is larger in Enumclaw at 10% compared to 1% in Lore city.
- More residents identify as two or more races in Enumclaw at 9% compared to 5% in Lore city.
- The percentage of American Indian residents is the same in both Enumclaw and Lore city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Enumclaw | Lore city |
---|---|---|
Mental Health Not Good | 18.4% | 18.6% |
Physical Health Not Good | 10.8% | 13.1% |
Depression | 28.2% | 24.7% |
Smoking | 13.0% | 22.6% |
Binge Drinking | 19.0% | 18.4% |
Obesity | 27.1% | 43.1% |
Disability Percentage | 14.0% | 15.0% |
Health Statistics Comparison: Enumclaw vs Lore city
- In Lore city, a higher percentage report poor mental health at 18.6% compared to 18.4% in Enumclaw.
- Depression is more prevalent in Enumclaw at 28.2% compared to 24.7% in Lore city.
- Lore city has a higher smoking rate at 22.6% compared to 13.0% in Enumclaw.
- Binge drinking is more common in Enumclaw at 19.0% compared to 18.4% in Lore city.
- Lore city has higher obesity rates at 43.1% compared to 27.1% in Enumclaw.
- There is a higher percentage of disabled individuals in Lore city at 15.0% compared to 14.0% in Enumclaw.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Enumclaw | Lore city |
---|---|---|
No Schooling | 0.8% (103) | 0.0% (Data is updating) |
High School Diploma | 18.3% (2,334) | 23.3% (65) |
Less than High School | 5.6% (708) | 53.4% (149) |
Bachelor's Degree and Higher | 22.0% (2,803) | 9.3% (26) |
Education Levels Comparison: Enumclaw vs Lore city
- A higher percentage of residents in Enumclaw have no formal schooling at 0.8% compared to 0.0% in Lore city.
- In Lore city, the rate of residents with high school diplomas is higher at 23.3% compared to 18.3% in Enumclaw.
- The percentage of residents with less than a high school education is higher in Lore city at 53.4%, compared to 5.6% in Enumclaw.
- A higher percentage of residents in Enumclaw hold a bachelor's degree or higher at 22.0% compared to 9.3% in Lore city.
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.