Demographics details for Birmingham, AL vs Mount olive, MS
Population Overview
Compare main population characteristics in Birmingham, AL vs Mount olive, MS.
Data | Birmingham | Mount olive |
---|---|---|
Population | 196,910 | 878 |
Median Age | 35.9 years | 31.7 years |
Median Income | $42,464 | $53,947 |
Married Families | 23.0% | 49.0% |
Poverty Level | 19% | 18% |
Unemployment Rate | 3.6 | 6.5 |
Population Comparison: Birmingham vs Mount olive
- In Birmingham, the population is higher at 196,910, compared to 878 in Mount olive.
- Residents in Birmingham have a higher median age of 35.9 years compared to 31.7 years in Mount olive.
- Mount olive has a higher median income of $53,947, compared to $42,464 in Birmingham.
- In Mount olive, the percentage of married families is higher at 49.0%, compared to 23.0% in Birmingham.
- Birmingham has a higher poverty level at 19% compared to 18% in Mount olive.
- Mount olive has a higher unemployment rate at 6.5% compared to 3.6% in Birmingham.
Demographics
Demographics Birmingham vs Mount olive provide insight into the diversity of the communities to compare.
Demographic | Birmingham | Mount olive |
---|---|---|
Black | 70 | 120 |
White | 21 | 145 |
Asian | 2 | 2 |
Hispanic | 4 | Data is updating |
Two or More Races | 3 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Birmingham vs Mount olive
- In Mount olive, the percentage of Black residents is higher at 120% compared to 70% in Birmingham.
- The percentage of White residents is higher in Mount olive at 145% compared to 21% in Birmingham.
- Both Birmingham and Mount olive have the same percentage of Asian residents at 2%.
- The Hispanic community is larger in Birmingham at 4% compared to 0% in Mount olive.
- More residents identify as two or more races in Birmingham at 3% compared to 0% in Mount olive.
- The percentage of American Indian residents is the same in both Birmingham and Mount olive at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Birmingham | Mount olive |
---|---|---|
Mental Health Not Good | 19.8% | 17.8% |
Physical Health Not Good | 14.6% | 13.3% |
Depression | 21.2% | 21.5% |
Smoking | 21.1% | 21.3% |
Binge Drinking | 12.7% | 13.0% |
Obesity | 45.7% | 43.6% |
Disability Percentage | 19.0% | 27.0% |
Health Statistics Comparison: Birmingham vs Mount olive
- More residents in Birmingham report poor mental health at 19.8% compared to 17.8% in Mount olive.
- Higher depression rates are seen in Mount olive at 21.5% versus 21.2% in Birmingham.
- Mount olive has a higher smoking rate at 21.3% compared to 21.1% in Birmingham.
- More residents engage in binge drinking in Mount olive at 13.0% compared to 12.7% in Birmingham.
- Obesity rates are higher in Birmingham at 45.7% compared to 43.6% in Mount olive.
- There is a higher percentage of disabled individuals in Mount olive at 27.0% compared to 19.0% in Birmingham.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Birmingham | Mount olive |
---|---|---|
No Schooling | 0.9% (1,793) | 2.3% (20) |
High School Diploma | 17.5% (34,520) | 23.9% (210) |
Less than High School | 10.1% (19,856) | 14.9% (131) |
Bachelor's Degree and Higher | 20.6% (40,596) | 13.0% (114) |
Education Levels Comparison: Birmingham vs Mount olive
- In Mount olive, a larger percentage of residents lack formal schooling at 2.3% compared to 0.9% in Birmingham.
- In Mount olive, the rate of residents with high school diplomas is higher at 23.9% compared to 17.5% in Birmingham.
- The percentage of residents with less than a high school education is higher in Mount olive at 14.9%, compared to 10.1% in Birmingham.
- A higher percentage of residents in Birmingham hold a bachelor's degree or higher at 20.6% 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.