Demographics details for Turlock, CA vs Mountain home, ID
Population Overview
Compare main population characteristics in Turlock, CA vs Mountain home, ID.
Data | Turlock | Mountain home |
---|---|---|
Population | 72,309 | 16,469 |
Median Age | 34.3 years | 31.3 years |
Median Income | $74,559 | $53,108 |
Married Families | 36.0% | 36.0% |
Poverty Level | 15% | 12% |
Unemployment Rate | 5.6 | 3.1 |
Population Comparison: Turlock vs Mountain home
- In Turlock, the population is higher at 72,309, compared to 16,469 in Mountain home.
- Residents in Turlock have a higher median age of 34.3 years compared to 31.3 years in Mountain home.
- Turlock has a higher median income of $74,559 compared to $53,108 in Mountain home.
- The percentage of married families is the same in both Turlock and Mountain home at 36.0%.
- Turlock has a higher poverty level at 15% compared to 12% in Mountain home.
- The unemployment rate in Turlock is higher at 5.6%, compared to 3.1% in Mountain home.
Demographics
Demographics Turlock vs Mountain home provide insight into the diversity of the communities to compare.
Demographic | Turlock | Mountain home |
---|---|---|
Black | 2 | 2 |
White | 34 | 69 |
Asian | 6 | 4 |
Hispanic | 45 | 14 |
Two or More Races | 13 | 9 |
American Indian | Data is updating | 2 |
Demographics Comparison: Turlock vs Mountain home
- The percentage of Black residents is the same in both Turlock and Mountain home at 2%.
- The percentage of White residents is higher in Mountain home at 69% compared to 34% in Turlock.
- The Asian population is larger in Turlock at 6% compared to 4% in Mountain home.
- The Hispanic community is larger in Turlock at 45% compared to 14% in Mountain home.
- More residents identify as two or more races in Turlock at 13% compared to 9% in Mountain home.
- In Mountain home, the percentage of American Indian residents is higher at 2%, compared to 0% in Turlock.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Turlock | Mountain home |
---|---|---|
Mental Health Not Good | 17.3% | 16.9% |
Physical Health Not Good | 12.7% | 12.6% |
Depression | 21.8% | 22.4% |
Smoking | 15.0% | 18.3% |
Binge Drinking | 16.4% | 15.8% |
Obesity | 33.9% | 36.1% |
Disability Percentage | 12.0% | 18.0% |
Health Statistics Comparison: Turlock vs Mountain home
- More residents in Turlock report poor mental health at 17.3% compared to 16.9% in Mountain home.
- Higher depression rates are seen in Mountain home at 22.4% versus 21.8% in Turlock.
- Mountain home has a higher smoking rate at 18.3% compared to 15.0% in Turlock.
- Binge drinking is more common in Turlock at 16.4% compared to 15.8% in Mountain home.
- Mountain home has higher obesity rates at 36.1% compared to 33.9% in Turlock.
- There is a higher percentage of disabled individuals in Mountain home at 18.0% compared to 12.0% in Turlock.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Turlock | Mountain home |
---|---|---|
No Schooling | 2.0% (1,441) | 1.7% (273) |
High School Diploma | 12.8% (9,288) | 16.3% (2,690) |
Less than High School | 22.4% (16,188) | 12.8% (2,116) |
Bachelor's Degree and Higher | 16.4% (11,888) | 10.4% (1,720) |
Education Levels Comparison: Turlock vs Mountain home
- A higher percentage of residents in Turlock have no formal schooling at 2.0% compared to 1.7% in Mountain home.
- In Mountain home, the rate of residents with high school diplomas is higher at 16.3% compared to 12.8% in Turlock.
- More residents in Turlock have less than a high school education at 22.4% compared to 12.8% in Mountain home.
- A higher percentage of residents in Turlock hold a bachelor's degree or higher at 16.4% compared to 10.4% in Mountain home.
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.