Demographics details for Sand coulee, MT vs Palatka, FL
Population Overview
Compare main population characteristics in Sand coulee, MT vs Palatka, FL.
| Data | Sand coulee | Palatka |
|---|---|---|
| Population | 223 | 10,574 |
| Median Age | 43.9 years | 39.9 years |
| Median Income | $74,091 | $30,945 |
| Married Families | 54.0% | 18.0% |
| Poverty Level | 7% | 22% |
| Unemployment Rate | 2.5 | 5.5 |
Population Comparison: Sand coulee vs Palatka
- The population in Palatka is higher at 10,574, compared to 223 in Sand coulee.
- Residents in Sand coulee have a higher median age of 43.9 years compared to 39.9 years in Palatka.
- Sand coulee has a higher median income of $74,091 compared to $30,945 in Palatka.
- A higher percentage of married families is found in Sand coulee at 54.0% compared to 18.0% in Palatka.
- The poverty level is higher in Palatka at 22%, compared to 7% in Sand coulee.
- Palatka has a higher unemployment rate at 5.5% compared to 2.5% in Sand coulee.
Demographics
Demographics Sand coulee vs Palatka provide insight into the diversity of the communities to compare.
| Demographic | Sand coulee | Palatka |
|---|---|---|
| Black | Data is updating | 40 |
| White | 83 | 43 |
| Asian | 1 | 1 |
| Hispanic | 8 | 8 |
| Two or More Races | 8 | 7 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Sand coulee vs Palatka
- In Palatka, the percentage of Black residents is higher at 40% compared to 0% in Sand coulee.
- Sand coulee has a higher percentage of White residents at 83% compared to 43% in Palatka.
- Both Sand coulee and Palatka have the same percentage of Asian residents at 1%.
- The percentage of Hispanic residents is the same in both Sand coulee and Palatka at 8%.
- More residents identify as two or more races in Sand coulee at 8% compared to 7% in Palatka.
- In Palatka, the percentage of American Indian residents is higher at 1%, compared to 0% in Sand coulee.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Sand coulee | Palatka |
|---|---|---|
| Mental Health Not Good | 16.3% | 19.4% |
| Physical Health Not Good | 10.8% | 16.4% |
| Depression | 24.3% | 20.5% |
| Smoking | 17.5% | 29.4% |
| Binge Drinking | 22.4% | 14.2% |
| Obesity | 34.6% | 40.8% |
| Disability Percentage | 9.0% | 21.0% |
Health Statistics Comparison: Sand coulee vs Palatka
- In Palatka, a higher percentage report poor mental health at 19.4% compared to 16.3% in Sand coulee.
- Depression is more prevalent in Sand coulee at 24.3% compared to 20.5% in Palatka.
- Palatka has a higher smoking rate at 29.4% compared to 17.5% in Sand coulee.
- Binge drinking is more common in Sand coulee at 22.4% compared to 14.2% in Palatka.
- Palatka has higher obesity rates at 40.8% compared to 34.6% in Sand coulee.
- There is a higher percentage of disabled individuals in Palatka at 21.0% compared to 9.0% in Sand coulee.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Sand coulee | Palatka |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.0% (111) |
| High School Diploma | 22.0% (49) | 20.0% (2,118) |
| Less than High School | 16.1% (36) | 22.0% (2,324) |
| Bachelor's Degree and Higher | 22.9% (51) | 8.0% (841) |
Education Levels Comparison: Sand coulee vs Palatka
- In Palatka, a larger percentage of residents lack formal schooling at 1.0% compared to 0.0% in Sand coulee.
- A higher percentage of residents in Sand coulee hold a high school diploma at 22.0% compared to 20.0% in Palatka.
- The percentage of residents with less than a high school education is higher in Palatka at 22.0%, compared to 16.1% in Sand coulee.
- A higher percentage of residents in Sand coulee hold a bachelor's degree or higher at 22.9% compared to 8.0% in Palatka.
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.