Demographics details for Lorida, FL vs Chetopa, KS
Population Overview
Compare main population characteristics in Lorida, FL vs Chetopa, KS.
Data | Lorida | Chetopa |
---|---|---|
Population | 500 | 916 |
Median Age | 50.0 years | 51.2 years |
Median Income | $60,000 | $23,750 |
Married Families | 80.0% | 44.0% |
Poverty Level | 12% | 11% |
Unemployment Rate | 5.0 | 3.1 |
Population Comparison: Lorida vs Chetopa
- The population in Chetopa is higher at 916, compared to 500 in Lorida.
- The median age in Chetopa is higher at 51.2 years, compared to 50.0 years in Lorida.
- Lorida has a higher median income of $60,000 compared to $23,750 in Chetopa.
- A higher percentage of married families is found in Lorida at 80.0% compared to 44.0% in Chetopa.
- Lorida has a higher poverty level at 12% compared to 11% in Chetopa.
- The unemployment rate in Lorida is higher at 5.0%, compared to 3.1% in Chetopa.
Demographics
Demographics Lorida vs Chetopa provide insight into the diversity of the communities to compare.
Demographic | Lorida | Chetopa |
---|---|---|
Black | 2 | Data is updating |
White | 95 | 92 |
Asian | 1 | Data is updating |
Hispanic | 2 | 4 |
Two or More Races | Data is updating | 3 |
American Indian | Data is updating | 1 |
Demographics Comparison: Lorida vs Chetopa
- A higher percentage of Black residents are in Lorida at 2% compared to 0% in Chetopa.
- Lorida has a higher percentage of White residents at 95% compared to 92% in Chetopa.
- The Asian population is larger in Lorida at 1% compared to 0% in Chetopa.
- Chetopa has a higher percentage of Hispanic residents at 4%, compared to 2% in Lorida.
- The percentage of residents identifying as two or more races is higher in Chetopa at 3%, compared to 0% in Lorida.
- In Chetopa, the percentage of American Indian residents is higher at 1%, compared to 0% in Lorida.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lorida | Chetopa |
---|---|---|
Mental Health Not Good | Data is updating% | 19.5% |
Physical Health Not Good | Data is updating% | 13.6% |
Depression | Data is updating% | 23.4% |
Smoking | Data is updating% | 24.7% |
Binge Drinking | Data is updating% | 17.6% |
Obesity | Data is updating% | 45.6% |
Disability Percentage | Data is updating% | 43.0% |
Health Statistics Comparison: Lorida vs Chetopa
- In Chetopa, a higher percentage report poor mental health at 19.5% compared to 0.0% in Lorida.
- Higher depression rates are seen in Chetopa at 23.4% versus 0.0% in Lorida.
- Chetopa has a higher smoking rate at 24.7% compared to 0.0% in Lorida.
- More residents engage in binge drinking in Chetopa at 17.6% compared to 0.0% in Lorida.
- Chetopa has higher obesity rates at 45.6% compared to 0.0% in Lorida.
- There is a higher percentage of disabled individuals in Chetopa at 43.0% compared to 0.0% in Lorida.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lorida | Chetopa |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.4% (4) |
High School Diploma | 0.0% (Data is updating) | 30.1% (276) |
Less than High School | 0.0% (Data is updating) | 19.0% (174) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 10.8% (99) |
Education Levels Comparison: Lorida vs Chetopa
- In Chetopa, a larger percentage of residents lack formal schooling at 0.4% compared to 0.0% in Lorida.
- In Chetopa, the rate of residents with high school diplomas is higher at 30.1% compared to 0.0% in Lorida.
- The percentage of residents with less than a high school education is higher in Chetopa at 19.0%, compared to 0.0% in Lorida.
- In Chetopa, a larger share of residents have a bachelor's degree or higher at 10.8% compared to 0.0% in Lorida.
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.