Demographics details for Mountain grove, MO vs Holiday, FL
Population Overview
Compare main population characteristics in Mountain grove, MO vs Holiday, FL.
Data | Mountain grove | Holiday |
---|---|---|
Population | 4,551 | 21,495 |
Median Age | 42.3 years | 43.9 years |
Median Income | $38,103 | $40,852 |
Married Families | 35.0% | 31.0% |
Poverty Level | 15% | 13% |
Unemployment Rate | 4.5 | 3.2 |
Population Comparison: Mountain grove vs Holiday
- The population in Holiday is higher at 21,495, compared to 4,551 in Mountain grove.
- The median age in Holiday is higher at 43.9 years, compared to 42.3 years in Mountain grove.
- Holiday has a higher median income of $40,852, compared to $38,103 in Mountain grove.
- A higher percentage of married families is found in Mountain grove at 35.0% compared to 31.0% in Holiday.
- Mountain grove has a higher poverty level at 15% compared to 13% in Holiday.
- The unemployment rate in Mountain grove is higher at 4.5%, compared to 3.2% in Holiday.
Demographics
Demographics Mountain grove vs Holiday provide insight into the diversity of the communities to compare.
Demographic | Mountain grove | Holiday |
---|---|---|
Black | Data is updating | 9 |
White | 89 | 61 |
Asian | 1 | 1 |
Hispanic | 2 | 18 |
Two or More Races | 8 | 11 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Mountain grove vs Holiday
- In Holiday, the percentage of Black residents is higher at 9% compared to 0% in Mountain grove.
- Mountain grove has a higher percentage of White residents at 89% compared to 61% in Holiday.
- Both Mountain grove and Holiday have the same percentage of Asian residents at 1%.
- Holiday has a higher percentage of Hispanic residents at 18%, compared to 2% in Mountain grove.
- The percentage of residents identifying as two or more races is higher in Holiday at 11%, compared to 8% in Mountain grove.
- The percentage of American Indian residents is the same in both Mountain grove and Holiday at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Mountain grove | Holiday |
---|---|---|
Mental Health Not Good | 22.5% | 18.6% |
Physical Health Not Good | 18.1% | 13.7% |
Depression | 28.4% | 24.5% |
Smoking | 31.2% | 27.9% |
Binge Drinking | 14.8% | 16.9% |
Obesity | 44.6% | 33.6% |
Disability Percentage | 24.0% | 18.0% |
Health Statistics Comparison: Mountain grove vs Holiday
- More residents in Mountain grove report poor mental health at 22.5% compared to 18.6% in Holiday.
- Depression is more prevalent in Mountain grove at 28.4% compared to 24.5% in Holiday.
- Smoking is more prevalent in Mountain grove at 31.2% compared to 27.9% in Holiday.
- More residents engage in binge drinking in Holiday at 16.9% compared to 14.8% in Mountain grove.
- Obesity rates are higher in Mountain grove at 44.6% compared to 33.6% in Holiday.
- Disability percentages are higher in Mountain grove at 24.0% compared to 18.0% in Holiday.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Mountain grove | Holiday |
---|---|---|
No Schooling | 0.6% (26) | 1.0% (217) |
High School Diploma | 27.6% (1,256) | 34.2% (7,351) |
Less than High School | 23.2% (1,057) | 15.3% (3,281) |
Bachelor's Degree and Higher | 8.8% (400) | 8.5% (1,817) |
Education Levels Comparison: Mountain grove vs Holiday
- In Holiday, a larger percentage of residents lack formal schooling at 1.0% compared to 0.6% in Mountain grove.
- In Holiday, the rate of residents with high school diplomas is higher at 34.2% compared to 27.6% in Mountain grove.
- More residents in Mountain grove have less than a high school education at 23.2% compared to 15.3% in Holiday.
- A higher percentage of residents in Mountain grove hold a bachelor's degree or higher at 8.8% compared to 8.5% in Holiday.
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.