Demographics details for Kissimmee, FL vs Lashmeet, WV
Population Overview
Compare main population characteristics in Kissimmee, FL vs Lashmeet, WV.
Data | Kissimmee | Lashmeet |
---|---|---|
Population | 80,003 | 704 |
Median Age | 35.7 years | 61.1 years |
Median Income | $45,319 | $43,701 |
Married Families | 31.0% | 38.0% |
Poverty Level | 13% | Data is updating |
Unemployment Rate | 3.8 | 4.0 |
Population Comparison: Kissimmee vs Lashmeet
- In Kissimmee, the population is higher at 80,003, compared to 704 in Lashmeet.
- The median age in Lashmeet is higher at 61.1 years, compared to 35.7 years in Kissimmee.
- Kissimmee has a higher median income of $45,319 compared to $43,701 in Lashmeet.
- In Lashmeet, the percentage of married families is higher at 38.0%, compared to 31.0% in Kissimmee.
- Kissimmee has a higher poverty level at 13% compared to 0% in Lashmeet.
- Lashmeet has a higher unemployment rate at 4.0% compared to 3.8% in Kissimmee.
Demographics
Demographics Kissimmee vs Lashmeet provide insight into the diversity of the communities to compare.
Demographic | Kissimmee | Lashmeet |
---|---|---|
Black | 10 | Data is updating |
White | Data is updating | 100 |
Asian | 3 | Data is updating |
Hispanic | 69 | Data is updating |
Two or More Races | 18 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Kissimmee vs Lashmeet
- A higher percentage of Black residents are in Kissimmee at 10% compared to 0% in Lashmeet.
- The percentage of White residents is higher in Lashmeet at 100% compared to 0% in Kissimmee.
- The Asian population is larger in Kissimmee at 3% compared to 0% in Lashmeet.
- The Hispanic community is larger in Kissimmee at 69% compared to 0% in Lashmeet.
- More residents identify as two or more races in Kissimmee at 18% compared to 0% in Lashmeet.
- The percentage of American Indian residents is the same in both Kissimmee and Lashmeet at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Kissimmee | Lashmeet |
---|---|---|
Mental Health Not Good | 16.3% | 25.1% |
Physical Health Not Good | 13.7% | 19.0% |
Depression | 18.5% | 32.6% |
Smoking | 19.9% | 27.7% |
Binge Drinking | 14.2% | 12.2% |
Obesity | 37.7% | 45.6% |
Disability Percentage | 15.0% | 22.0% |
Health Statistics Comparison: Kissimmee vs Lashmeet
- In Lashmeet, a higher percentage report poor mental health at 25.1% compared to 16.3% in Kissimmee.
- Higher depression rates are seen in Lashmeet at 32.6% versus 18.5% in Kissimmee.
- Lashmeet has a higher smoking rate at 27.7% compared to 19.9% in Kissimmee.
- Binge drinking is more common in Kissimmee at 14.2% compared to 12.2% in Lashmeet.
- Lashmeet has higher obesity rates at 45.6% compared to 37.7% in Kissimmee.
- There is a higher percentage of disabled individuals in Lashmeet at 22.0% compared to 15.0% in Kissimmee.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Kissimmee | Lashmeet |
---|---|---|
No Schooling | 1.7% (1,327) | 0.0% (Data is updating) |
High School Diploma | 16.7% (13,387) | 25.3% (178) |
Less than High School | 19.4% (15,558) | 47.2% (332) |
Bachelor's Degree and Higher | 15.6% (12,446) | 5.8% (41) |
Education Levels Comparison: Kissimmee vs Lashmeet
- A higher percentage of residents in Kissimmee have no formal schooling at 1.7% compared to 0.0% in Lashmeet.
- In Lashmeet, the rate of residents with high school diplomas is higher at 25.3% compared to 16.7% in Kissimmee.
- The percentage of residents with less than a high school education is higher in Lashmeet at 47.2%, compared to 19.4% in Kissimmee.
- A higher percentage of residents in Kissimmee hold a bachelor's degree or higher at 15.6% compared to 5.8% in Lashmeet.
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.