Demographics details for Spanish fork, UT vs Augusta, KY
Population Overview
Compare main population characteristics in Spanish fork, UT vs Augusta, KY.
Data | Spanish fork | Augusta |
---|---|---|
Population | 44,102 | 1,098 |
Median Age | 27.4 years | 36.4 years |
Median Income | $93,989 | $50,135 |
Married Families | 43.0% | 41.0% |
Poverty Level | 6% | 10% |
Unemployment Rate | 3.8 | 4.5 |
Population Comparison: Spanish fork vs Augusta
- In Spanish fork, the population is higher at 44,102, compared to 1,098 in Augusta.
- The median age in Augusta is higher at 36.4 years, compared to 27.4 years in Spanish fork.
- Spanish fork has a higher median income of $93,989 compared to $50,135 in Augusta.
- A higher percentage of married families is found in Spanish fork at 43.0% compared to 41.0% in Augusta.
- The poverty level is higher in Augusta at 10%, compared to 6% in Spanish fork.
- Augusta has a higher unemployment rate at 4.5% compared to 3.8% in Spanish fork.
Demographics
Demographics Spanish fork vs Augusta provide insight into the diversity of the communities to compare.
Demographic | Spanish fork | Augusta |
---|---|---|
Black | 1 | 2 |
White | 80 | 86 |
Asian | Data is updating | Data is updating |
Hispanic | 12 | Data is updating |
Two or More Races | 7 | Data is updating |
American Indian | Data is updating | 12 |
Demographics Comparison: Spanish fork vs Augusta
- In Augusta, the percentage of Black residents is higher at 2% compared to 1% in Spanish fork.
- The percentage of White residents is higher in Augusta at 86% compared to 80% in Spanish fork.
- Both Spanish fork and Augusta have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Spanish fork at 12% compared to 0% in Augusta.
- More residents identify as two or more races in Spanish fork at 7% compared to 0% in Augusta.
- In Augusta, the percentage of American Indian residents is higher at 12%, compared to 0% in Spanish fork.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Spanish fork | Augusta |
---|---|---|
Mental Health Not Good | 15.0% | 20.0% |
Physical Health Not Good | 10.8% | 14.8% |
Depression | 23.8% | 28.9% |
Smoking | 7.7% | 24.3% |
Binge Drinking | 8.3% | 15.3% |
Obesity | 31.0% | 38.1% |
Disability Percentage | 8.0% | 24.0% |
Health Statistics Comparison: Spanish fork vs Augusta
- In Augusta, a higher percentage report poor mental health at 20.0% compared to 15.0% in Spanish fork.
- Higher depression rates are seen in Augusta at 28.9% versus 23.8% in Spanish fork.
- Augusta has a higher smoking rate at 24.3% compared to 7.7% in Spanish fork.
- More residents engage in binge drinking in Augusta at 15.3% compared to 8.3% in Spanish fork.
- Augusta has higher obesity rates at 38.1% compared to 31.0% in Spanish fork.
- There is a higher percentage of disabled individuals in Augusta at 24.0% compared to 8.0% in Spanish fork.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Spanish fork | Augusta |
---|---|---|
No Schooling | 0.4% (175) | 0.5% (5) |
High School Diploma | 9.1% (4,010) | 33.2% (365) |
Less than High School | 5.9% (2,583) | 18.9% (208) |
Bachelor's Degree and Higher | 19.4% (8,546) | 24.3% (267) |
Education Levels Comparison: Spanish fork vs Augusta
- In Augusta, a larger percentage of residents lack formal schooling at 0.5% compared to 0.4% in Spanish fork.
- In Augusta, the rate of residents with high school diplomas is higher at 33.2% compared to 9.1% in Spanish fork.
- The percentage of residents with less than a high school education is higher in Augusta at 18.9%, compared to 5.9% in Spanish fork.
- In Augusta, a larger share of residents have a bachelor's degree or higher at 24.3% compared to 19.4% in Spanish fork.
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.