Demographics details for West fargo, ND vs Mount olive, MS
Population Overview
Compare main population characteristics in West fargo, ND vs Mount olive, MS.
Data | West fargo | Mount olive |
---|---|---|
Population | 39,985 | 878 |
Median Age | 32.5 years | 31.7 years |
Median Income | $96,929 | $53,947 |
Married Families | 43.0% | 49.0% |
Poverty Level | 6% | 18% |
Unemployment Rate | 2.2 | 6.5 |
Population Comparison: West fargo vs Mount olive
- In West fargo, the population is higher at 39,985, compared to 878 in Mount olive.
- Residents in West fargo have a higher median age of 32.5 years compared to 31.7 years in Mount olive.
- West fargo has a higher median income of $96,929 compared to $53,947 in Mount olive.
- In Mount olive, the percentage of married families is higher at 49.0%, compared to 43.0% in West fargo.
- The poverty level is higher in Mount olive at 18%, compared to 6% in West fargo.
- Mount olive has a higher unemployment rate at 6.5% compared to 2.2% in West fargo.
Demographics
Demographics West fargo vs Mount olive provide insight into the diversity of the communities to compare.
Demographic | West fargo | Mount olive |
---|---|---|
Black | 3 | 120 |
White | 87 | 145 |
Asian | 2 | 2 |
Hispanic | 2 | Data is updating |
Two or More Races | 5 | Data is updating |
American Indian | 1 | Data is updating |
Demographics Comparison: West fargo vs Mount olive
- In Mount olive, the percentage of Black residents is higher at 120% compared to 3% in West fargo.
- The percentage of White residents is higher in Mount olive at 145% compared to 87% in West fargo.
- Both West fargo and Mount olive have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in West fargo at 2% compared to 0% in Mount olive.
- More residents identify as two or more races in West fargo at 5% compared to 0% in Mount olive.
- A greater percentage of American Indian residents live in West fargo at 1% compared to 0% in Mount olive.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | West fargo | Mount olive |
---|---|---|
Mental Health Not Good | 12.2% | 17.8% |
Physical Health Not Good | 8.3% | 13.3% |
Depression | 19.7% | 21.5% |
Smoking | 13.2% | 21.3% |
Binge Drinking | 21.9% | 13.0% |
Obesity | 34.6% | 43.6% |
Disability Percentage | 7.0% | 27.0% |
Health Statistics Comparison: West fargo vs Mount olive
- In Mount olive, a higher percentage report poor mental health at 17.8% compared to 12.2% in West fargo.
- Higher depression rates are seen in Mount olive at 21.5% versus 19.7% in West fargo.
- Mount olive has a higher smoking rate at 21.3% compared to 13.2% in West fargo.
- Binge drinking is more common in West fargo at 21.9% compared to 13.0% in Mount olive.
- Mount olive has higher obesity rates at 43.6% compared to 34.6% in West fargo.
- There is a higher percentage of disabled individuals in Mount olive at 27.0% compared to 7.0% in West fargo.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | West fargo | Mount olive |
---|---|---|
No Schooling | 0.2% (82) | 2.3% (20) |
High School Diploma | 9.0% (3,583) | 23.9% (210) |
Less than High School | 3.0% (1,203) | 14.9% (131) |
Bachelor's Degree and Higher | 27.1% (10,840) | 13.0% (114) |
Education Levels Comparison: West fargo vs Mount olive
- In Mount olive, a larger percentage of residents lack formal schooling at 2.3% compared to 0.2% in West fargo.
- In Mount olive, the rate of residents with high school diplomas is higher at 23.9% compared to 9.0% in West fargo.
- The percentage of residents with less than a high school education is higher in Mount olive at 14.9%, compared to 3.0% in West fargo.
- A higher percentage of residents in West fargo hold a bachelor's degree or higher at 27.1% 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.