Demographics details for Mount olive, MS vs Show low, AZ
Population Overview
Compare main population characteristics in Mount olive, MS vs Show low, AZ.
| Data | Mount olive | Show low |
|---|---|---|
| Population | 878 | 12,056 |
| Median Age | 31.7 years | 43.6 years |
| Median Income | $53,947 | $57,406 |
| Married Families | 49.0% | 44.0% |
| Poverty Level | 18% | 10% |
| Unemployment Rate | 6.5 | 4.5 |
Population Comparison: Mount olive vs Show low
- The population in Show low is higher at 12,056, compared to 878 in Mount olive.
- The median age in Show low is higher at 43.6 years, compared to 31.7 years in Mount olive.
- Show low has a higher median income of $57,406, compared to $53,947 in Mount olive.
- A higher percentage of married families is found in Mount olive at 49.0% compared to 44.0% in Show low.
- Mount olive has a higher poverty level at 18% compared to 10% in Show low.
- The unemployment rate in Mount olive is higher at 6.5%, compared to 4.5% in Show low.
Demographics
Demographics Mount olive vs Show low provide insight into the diversity of the communities to compare.
| Demographic | Mount olive | Show low |
|---|---|---|
| Black | 120 | Data is updating |
| White | 145 | 70 |
| Asian | 2 | 1 |
| Hispanic | Data is updating | 18 |
| Two or More Races | Data is updating | 9 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Mount olive vs Show low
- A higher percentage of Black residents are in Mount olive at 120% compared to 0% in Show low.
- Mount olive has a higher percentage of White residents at 145% compared to 70% in Show low.
- The Asian population is larger in Mount olive at 2% compared to 1% in Show low.
- Show low has a higher percentage of Hispanic residents at 18%, compared to 0% in Mount olive.
- The percentage of residents identifying as two or more races is higher in Show low at 9%, compared to 0% in Mount olive.
- In Show low, the percentage of American Indian residents is higher at 2%, compared to 0% in Mount olive.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount olive | Show low |
|---|---|---|
| Mental Health Not Good | 17.8% | 17.1% |
| Physical Health Not Good | 13.3% | 11.4% |
| Depression | 21.5% | 20.7% |
| Smoking | 21.3% | 14.6% |
| Binge Drinking | 13.0% | 17.9% |
| Obesity | 43.6% | 32.9% |
| Disability Percentage | 27.0% | 17.0% |
Health Statistics Comparison: Mount olive vs Show low
- More residents in Mount olive report poor mental health at 17.8% compared to 17.1% in Show low.
- Depression is more prevalent in Mount olive at 21.5% compared to 20.7% in Show low.
- Smoking is more prevalent in Mount olive at 21.3% compared to 14.6% in Show low.
- More residents engage in binge drinking in Show low at 17.9% compared to 13.0% in Mount olive.
- Obesity rates are higher in Mount olive at 43.6% compared to 32.9% in Show low.
- Disability percentages are higher in Mount olive at 27.0% compared to 17.0% in Show low.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount olive | Show low |
|---|---|---|
| No Schooling | 2.3% (20) | 0.1% (12) |
| High School Diploma | 23.9% (210) | 14.3% (1,726) |
| Less than High School | 14.9% (131) | 7.0% (844) |
| Bachelor's Degree and Higher | 13.0% (114) | 19.1% (2,306) |
Education Levels Comparison: Mount olive vs Show low
- A higher percentage of residents in Mount olive have no formal schooling at 2.3% compared to 0.1% in Show low.
- A higher percentage of residents in Mount olive hold a high school diploma at 23.9% compared to 14.3% in Show low.
- More residents in Mount olive have less than a high school education at 14.9% compared to 7.0% in Show low.
- In Show low, a larger share of residents have a bachelor's degree or higher at 19.1% compared to 13.0% in Mount olive.
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.