Demographics details for Hyrum, UT vs Forest city, NC
Population Overview
Compare main population characteristics in Hyrum, UT vs Forest city, NC.
Data | Hyrum | Forest city |
---|---|---|
Population | 10,594 | 7,358 |
Median Age | 29.2 years | 32.8 years |
Median Income | $75,951 | $35,232 |
Married Families | 43.0% | 21.0% |
Poverty Level | 10% | 11% |
Unemployment Rate | 2.4 | 4.5 |
Population Comparison: Hyrum vs Forest city
- In Hyrum, the population is higher at 10,594, compared to 7,358 in Forest city.
- The median age in Forest city is higher at 32.8 years, compared to 29.2 years in Hyrum.
- Hyrum has a higher median income of $75,951 compared to $35,232 in Forest city.
- A higher percentage of married families is found in Hyrum at 43.0% compared to 21.0% in Forest city.
- The poverty level is higher in Forest city at 11%, compared to 10% in Hyrum.
- Forest city has a higher unemployment rate at 4.5% compared to 2.4% in Hyrum.
Demographics
Demographics Hyrum vs Forest city provide insight into the diversity of the communities to compare.
Demographic | Hyrum | Forest city |
---|---|---|
Black | Data is updating | 28 |
White | 80 | 57 |
Asian | 1 | 2 |
Hispanic | 13 | 8 |
Two or More Races | 6 | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Hyrum vs Forest city
- In Forest city, the percentage of Black residents is higher at 28% compared to 0% in Hyrum.
- Hyrum has a higher percentage of White residents at 80% compared to 57% in Forest city.
- In Forest city, the Asian population stands at 2%, greater than 1% in Hyrum.
- The Hispanic community is larger in Hyrum at 13% compared to 8% in Forest city.
- More residents identify as two or more races in Hyrum at 6% compared to 5% in Forest city.
- The percentage of American Indian residents is the same in both Hyrum and Forest city at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Hyrum | Forest city |
---|---|---|
Mental Health Not Good | 16.4% | 19.0% |
Physical Health Not Good | 11.6% | 14.4% |
Depression | 24.0% | 24.4% |
Smoking | 9.7% | 22.1% |
Binge Drinking | 11.2% | 15.2% |
Obesity | 32.2% | 41.2% |
Disability Percentage | 8.0% | 23.0% |
Health Statistics Comparison: Hyrum vs Forest city
- In Forest city, a higher percentage report poor mental health at 19.0% compared to 16.4% in Hyrum.
- Higher depression rates are seen in Forest city at 24.4% versus 24.0% in Hyrum.
- Forest city has a higher smoking rate at 22.1% compared to 9.7% in Hyrum.
- More residents engage in binge drinking in Forest city at 15.2% compared to 11.2% in Hyrum.
- Forest city has higher obesity rates at 41.2% compared to 32.2% in Hyrum.
- There is a higher percentage of disabled individuals in Forest city at 23.0% compared to 8.0% in Hyrum.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Hyrum | Forest city |
---|---|---|
No Schooling | 2.5% (264) | 0.9% (63) |
High School Diploma | 10.5% (1,117) | 15.5% (1,140) |
Less than High School | 8.5% (899) | 13.0% (956) |
Bachelor's Degree and Higher | 16.2% (1,721) | 10.7% (785) |
Education Levels Comparison: Hyrum vs Forest city
- A higher percentage of residents in Hyrum have no formal schooling at 2.5% compared to 0.9% in Forest city.
- In Forest city, the rate of residents with high school diplomas is higher at 15.5% compared to 10.5% in Hyrum.
- The percentage of residents with less than a high school education is higher in Forest city at 13.0%, compared to 8.5% in Hyrum.
- A higher percentage of residents in Hyrum hold a bachelor's degree or higher at 16.2% compared to 10.7% in Forest 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.