Demographics details for Mount olive, MS vs Arvada, CO
Population Overview
Compare main population characteristics in Mount olive, MS vs Arvada, CO.
| Data | Mount olive | Arvada |
|---|---|---|
| Population | 878 | 121,581 |
| Median Age | 31.7 years | 40.2 years |
| Median Income | $53,947 | $106,014 |
| Married Families | 49.0% | 46.0% |
| Poverty Level | 18% | 6% |
| Unemployment Rate | 6.5 | 3.8 |
Population Comparison: Mount olive vs Arvada
- The population in Arvada is higher at 121,581, compared to 878 in Mount olive.
- The median age in Arvada is higher at 40.2 years, compared to 31.7 years in Mount olive.
- Arvada has a higher median income of $106,014, compared to $53,947 in Mount olive.
- A higher percentage of married families is found in Mount olive at 49.0% compared to 46.0% in Arvada.
- Mount olive has a higher poverty level at 18% compared to 6% in Arvada.
- The unemployment rate in Mount olive is higher at 6.5%, compared to 3.8% in Arvada.
Demographics
Demographics Mount olive vs Arvada provide insight into the diversity of the communities to compare.
| Demographic | Mount olive | Arvada |
|---|---|---|
| Black | 120 | 1 |
| White | 145 | 73 |
| Asian | 2 | 2 |
| Hispanic | Data is updating | 15 |
| Two or More Races | Data is updating | 9 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Mount olive vs Arvada
- A higher percentage of Black residents are in Mount olive at 120% compared to 1% in Arvada.
- Mount olive has a higher percentage of White residents at 145% compared to 73% in Arvada.
- Both Mount olive and Arvada have the same percentage of Asian residents at 2%.
- Arvada has a higher percentage of Hispanic residents at 15%, compared to 0% in Mount olive.
- The percentage of residents identifying as two or more races is higher in Arvada at 9%, compared to 0% in Mount olive.
- The percentage of American Indian residents is the same in both Mount olive and Arvada at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Mount olive | Arvada |
|---|---|---|
| Mental Health Not Good | 17.8% | 14.3% |
| Physical Health Not Good | 13.3% | 9.2% |
| Depression | 21.5% | 20.9% |
| Smoking | 21.3% | 13.8% |
| Binge Drinking | 13.0% | 22.1% |
| Obesity | 43.6% | 24.6% |
| Disability Percentage | 27.0% | 11.0% |
Health Statistics Comparison: Mount olive vs Arvada
- More residents in Mount olive report poor mental health at 17.8% compared to 14.3% in Arvada.
- Depression is more prevalent in Mount olive at 21.5% compared to 20.9% in Arvada.
- Smoking is more prevalent in Mount olive at 21.3% compared to 13.8% in Arvada.
- More residents engage in binge drinking in Arvada at 22.1% compared to 13.0% in Mount olive.
- Obesity rates are higher in Mount olive at 43.6% compared to 24.6% in Arvada.
- Disability percentages are higher in Mount olive at 27.0% compared to 11.0% in Arvada.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Mount olive | Arvada |
|---|---|---|
| No Schooling | 2.3% (20) | 0.4% (483) |
| High School Diploma | 23.9% (210) | 12.7% (15,387) |
| Less than High School | 14.9% (131) | 6.6% (8,032) |
| Bachelor's Degree and Higher | 13.0% (114) | 35.1% (42,624) |
Education Levels Comparison: Mount olive vs Arvada
- A higher percentage of residents in Mount olive have no formal schooling at 2.3% compared to 0.4% in Arvada.
- A higher percentage of residents in Mount olive hold a high school diploma at 23.9% compared to 12.7% in Arvada.
- More residents in Mount olive have less than a high school education at 14.9% compared to 6.6% in Arvada.
- In Arvada, a larger share of residents have a bachelor's degree or higher at 35.1% 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.