Demographics details for Phillipsburg, OH vs Elmo, UT
Population Overview
Compare main population characteristics in Phillipsburg, OH vs Elmo, UT.
Data | Phillipsburg | Elmo |
---|---|---|
Population | 496 | 415 |
Median Age | 33.6 years | 38.3 years |
Median Income | $56,250 | $62,917 |
Married Families | 31.0% | 44.0% |
Poverty Level | 8% | Data is updating |
Unemployment Rate | 3.5 | 2.5 |
Population Comparison: Phillipsburg vs Elmo
- In Phillipsburg, the population is higher at 496, compared to 415 in Elmo.
- The median age in Elmo is higher at 38.3 years, compared to 33.6 years in Phillipsburg.
- Elmo has a higher median income of $62,917, compared to $56,250 in Phillipsburg.
- In Elmo, the percentage of married families is higher at 44.0%, compared to 31.0% in Phillipsburg.
- Phillipsburg has a higher poverty level at 8% compared to 0% in Elmo.
- The unemployment rate in Phillipsburg is higher at 3.5%, compared to 2.5% in Elmo.
Demographics
Demographics Phillipsburg vs Elmo provide insight into the diversity of the communities to compare.
Demographic | Phillipsburg | Elmo |
---|---|---|
Black | Data is updating | Data is updating |
White | 96 | 96 |
Asian | Data is updating | Data is updating |
Hispanic | 4 | 4 |
Two or More Races | Data is updating | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Phillipsburg vs Elmo
- The percentage of Black residents is the same in both Phillipsburg and Elmo at 0%.
- The percentage of White residents is the same in both Phillipsburg and Elmo at 96%.
- Both Phillipsburg and Elmo have the same percentage of Asian residents at 0%.
- The percentage of Hispanic residents is the same in both Phillipsburg and Elmo at 4%.
- Both Phillipsburg and Elmo have the same percentage of residents identifying as two or more races at 0%.
- The percentage of American Indian residents is the same in both Phillipsburg and Elmo at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Phillipsburg | Elmo |
---|---|---|
Mental Health Not Good | 18.4% | 17.3% |
Physical Health Not Good | 11.9% | 11.7% |
Depression | 26.6% | 22.9% |
Smoking | 19.1% | 11.9% |
Binge Drinking | 19.6% | 13.2% |
Obesity | 38.2% | 36.4% |
Disability Percentage | 9.0% | 20.0% |
Health Statistics Comparison: Phillipsburg vs Elmo
- More residents in Phillipsburg report poor mental health at 18.4% compared to 17.3% in Elmo.
- Depression is more prevalent in Phillipsburg at 26.6% compared to 22.9% in Elmo.
- Smoking is more prevalent in Phillipsburg at 19.1% compared to 11.9% in Elmo.
- Binge drinking is more common in Phillipsburg at 19.6% compared to 13.2% in Elmo.
- Obesity rates are higher in Phillipsburg at 38.2% compared to 36.4% in Elmo.
- There is a higher percentage of disabled individuals in Elmo at 20.0% compared to 9.0% in Phillipsburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Phillipsburg | Elmo |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 16.9% (84) | 8.0% (33) |
Less than High School | 10.1% (50) | 5.8% (24) |
Bachelor's Degree and Higher | 9.1% (45) | 13.7% (57) |
Education Levels Comparison: Phillipsburg vs Elmo
- The percentage of residents with no formal schooling is the same in both Phillipsburg and Elmo at 0.0%.
- A higher percentage of residents in Phillipsburg hold a high school diploma at 16.9% compared to 8.0% in Elmo.
- More residents in Phillipsburg have less than a high school education at 10.1% compared to 5.8% in Elmo.
- In Elmo, a larger share of residents have a bachelor's degree or higher at 13.7% compared to 9.1% in Phillipsburg.
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.