Demographics details for New florence, MO vs Glenpool, OK
Population Overview
Compare main population characteristics in New florence, MO vs Glenpool, OK.
Data | New florence | Glenpool |
---|---|---|
Population | 645 | 14,211 |
Median Age | 47.5 years | 34.3 years |
Median Income | $41,250 | $75,876 |
Married Families | 48.0% | 42.0% |
Poverty Level | 10% | 6% |
Unemployment Rate | 3.5 | 3.5 |
Population Comparison: New florence vs Glenpool
- The population in Glenpool is higher at 14,211, compared to 645 in New florence.
- Residents in New florence have a higher median age of 47.5 years compared to 34.3 years in Glenpool.
- Glenpool has a higher median income of $75,876, compared to $41,250 in New florence.
- A higher percentage of married families is found in New florence at 48.0% compared to 42.0% in Glenpool.
- New florence has a higher poverty level at 10% compared to 6% in Glenpool.
- The unemployment rate is the same in both New florence and Glenpool at 3.5%.
Demographics
Demographics New florence vs Glenpool provide insight into the diversity of the communities to compare.
Demographic | New florence | Glenpool |
---|---|---|
Black | Data is updating | 3 |
White | 92 | 61 |
Asian | Data is updating | 4 |
Hispanic | 6 | 9 |
Two or More Races | 2 | 14 |
American Indian | Data is updating | 9 |
Demographics Comparison: New florence vs Glenpool
- In Glenpool, the percentage of Black residents is higher at 3% compared to 0% in New florence.
- New florence has a higher percentage of White residents at 92% compared to 61% in Glenpool.
- In Glenpool, the Asian population stands at 4%, greater than 0% in New florence.
- Glenpool has a higher percentage of Hispanic residents at 9%, compared to 6% in New florence.
- The percentage of residents identifying as two or more races is higher in Glenpool at 14%, compared to 2% in New florence.
- In Glenpool, the percentage of American Indian residents is higher at 9%, compared to 0% in New florence.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | New florence | Glenpool |
---|---|---|
Mental Health Not Good | 20.0% | 17.8% |
Physical Health Not Good | 14.6% | 11.0% |
Depression | 26.3% | 26.0% |
Smoking | 24.5% | 16.3% |
Binge Drinking | 17.0% | 15.1% |
Obesity | 44.4% | 34.9% |
Disability Percentage | 30.0% | 11.0% |
Health Statistics Comparison: New florence vs Glenpool
- More residents in New florence report poor mental health at 20.0% compared to 17.8% in Glenpool.
- Depression is more prevalent in New florence at 26.3% compared to 26.0% in Glenpool.
- Smoking is more prevalent in New florence at 24.5% compared to 16.3% in Glenpool.
- Binge drinking is more common in New florence at 17.0% compared to 15.1% in Glenpool.
- Obesity rates are higher in New florence at 44.4% compared to 34.9% in Glenpool.
- Disability percentages are higher in New florence at 30.0% compared to 11.0% in Glenpool.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | New florence | Glenpool |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.7% (96) |
High School Diploma | 24.0% (155) | 14.2% (2,018) |
Less than High School | 33.5% (216) | 8.9% (1,258) |
Bachelor's Degree and Higher | 13.6% (88) | 15.4% (2,184) |
Education Levels Comparison: New florence vs Glenpool
- In Glenpool, a larger percentage of residents lack formal schooling at 0.7% compared to 0.0% in New florence.
- A higher percentage of residents in New florence hold a high school diploma at 24.0% compared to 14.2% in Glenpool.
- More residents in New florence have less than a high school education at 33.5% compared to 8.9% in Glenpool.
- In Glenpool, a larger share of residents have a bachelor's degree or higher at 15.4% compared to 13.6% in New florence.
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.