Demographics details for Blountstown, FL vs Ogema, MN
Population Overview
Compare main population characteristics in Blountstown, FL vs Ogema, MN.
Data | Blountstown | Ogema |
---|---|---|
Population | 2,255 | 204 |
Median Age | 41.4 years | 28.5 years |
Median Income | $38,051 | $51,750 |
Married Families | 42.0% | 26.0% |
Poverty Level | 22% | 10% |
Unemployment Rate | 3.5 | 4.3 |
Population Comparison: Blountstown vs Ogema
- In Blountstown, the population is higher at 2,255, compared to 204 in Ogema.
- Residents in Blountstown have a higher median age of 41.4 years compared to 28.5 years in Ogema.
- Ogema has a higher median income of $51,750, compared to $38,051 in Blountstown.
- A higher percentage of married families is found in Blountstown at 42.0% compared to 26.0% in Ogema.
- Blountstown has a higher poverty level at 22% compared to 10% in Ogema.
- Ogema has a higher unemployment rate at 4.3% compared to 3.5% in Blountstown.
Demographics
Demographics Blountstown vs Ogema provide insight into the diversity of the communities to compare.
Demographic | Blountstown | Ogema |
---|---|---|
Black | 33 | Data is updating |
White | 36 | 6 |
Asian | Data is updating | Data is updating |
Hispanic | 10 | 12 |
Two or More Races | 21 | 26 |
American Indian | Data is updating | 56 |
Demographics Comparison: Blountstown vs Ogema
- A higher percentage of Black residents are in Blountstown at 33% compared to 0% in Ogema.
- Blountstown has a higher percentage of White residents at 36% compared to 6% in Ogema.
- Both Blountstown and Ogema have the same percentage of Asian residents at 0%.
- Ogema has a higher percentage of Hispanic residents at 12%, compared to 10% in Blountstown.
- The percentage of residents identifying as two or more races is higher in Ogema at 26%, compared to 21% in Blountstown.
- In Ogema, the percentage of American Indian residents is higher at 56%, compared to 0% in Blountstown.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Blountstown | Ogema |
---|---|---|
Mental Health Not Good | 19.1% | 19.0% |
Physical Health Not Good | 13.5% | 13.5% |
Depression | 21.5% | 26.1% |
Smoking | 25.5% | 26.1% |
Binge Drinking | 15.3% | 18.8% |
Obesity | 38.5% | 47.1% |
Disability Percentage | 23.0% | 13.0% |
Health Statistics Comparison: Blountstown vs Ogema
- More residents in Blountstown report poor mental health at 19.1% compared to 19.0% in Ogema.
- Higher depression rates are seen in Ogema at 26.1% versus 21.5% in Blountstown.
- Ogema has a higher smoking rate at 26.1% compared to 25.5% in Blountstown.
- More residents engage in binge drinking in Ogema at 18.8% compared to 15.3% in Blountstown.
- Ogema has higher obesity rates at 47.1% compared to 38.5% in Blountstown.
- Disability percentages are higher in Blountstown at 23.0% compared to 13.0% in Ogema.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Blountstown | Ogema |
---|---|---|
No Schooling | 0.9% (20) | 0.5% (1) |
High School Diploma | 33.8% (763) | 19.6% (40) |
Less than High School | 19.8% (447) | 11.8% (24) |
Bachelor's Degree and Higher | 14.5% (326) | 12.3% (25) |
Education Levels Comparison: Blountstown vs Ogema
- A higher percentage of residents in Blountstown have no formal schooling at 0.9% compared to 0.5% in Ogema.
- A higher percentage of residents in Blountstown hold a high school diploma at 33.8% compared to 19.6% in Ogema.
- More residents in Blountstown have less than a high school education at 19.8% compared to 11.8% in Ogema.
- A higher percentage of residents in Blountstown hold a bachelor's degree or higher at 14.5% compared to 12.3% in Ogema.
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.