Demographics details for Baltic, SD vs Twentynine palms, CA
Population Overview
Compare main population characteristics in Baltic, SD vs Twentynine palms, CA.
Data | Baltic | Twentynine palms |
---|---|---|
Population | 1,322 | 28,158 |
Median Age | 30.1 years | 24.5 years |
Median Income | $94,167 | $51,392 |
Married Families | 48.0% | 37.0% |
Poverty Level | Data is updating | 11% |
Unemployment Rate | 2.5 | 6.1 |
Population Comparison: Baltic vs Twentynine palms
- The population in Twentynine palms is higher at 28,158, compared to 1,322 in Baltic.
- Residents in Baltic have a higher median age of 30.1 years compared to 24.5 years in Twentynine palms.
- Baltic has a higher median income of $94,167 compared to $51,392 in Twentynine palms.
- A higher percentage of married families is found in Baltic at 48.0% compared to 37.0% in Twentynine palms.
- The poverty level is higher in Twentynine palms at 11%, compared to 0% in Baltic.
- Twentynine palms has a higher unemployment rate at 6.1% compared to 2.5% in Baltic.
Demographics
Demographics Baltic vs Twentynine palms provide insight into the diversity of the communities to compare.
Demographic | Baltic | Twentynine palms |
---|---|---|
Black | 1 | 9 |
White | 92 | 40 |
Asian | Data is updating | 3 |
Hispanic | 1 | 26 |
Two or More Races | 5 | 21 |
American Indian | 1 | 1 |
Demographics Comparison: Baltic vs Twentynine palms
- In Twentynine palms, the percentage of Black residents is higher at 9% compared to 1% in Baltic.
- Baltic has a higher percentage of White residents at 92% compared to 40% in Twentynine palms.
- In Twentynine palms, the Asian population stands at 3%, greater than 0% in Baltic.
- Twentynine palms has a higher percentage of Hispanic residents at 26%, compared to 1% in Baltic.
- The percentage of residents identifying as two or more races is higher in Twentynine palms at 21%, compared to 5% in Baltic.
- The percentage of American Indian residents is the same in both Baltic and Twentynine palms at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Baltic | Twentynine palms |
---|---|---|
Mental Health Not Good | 13.1% | 18.7% |
Physical Health Not Good | 8.1% | 13.3% |
Depression | 19.9% | 20.6% |
Smoking | 15.0% | 16.4% |
Binge Drinking | 23.1% | 16.1% |
Obesity | 34.5% | 39.3% |
Disability Percentage | 9.0% | 11.0% |
Health Statistics Comparison: Baltic vs Twentynine palms
- In Twentynine palms, a higher percentage report poor mental health at 18.7% compared to 13.1% in Baltic.
- Higher depression rates are seen in Twentynine palms at 20.6% versus 19.9% in Baltic.
- Twentynine palms has a higher smoking rate at 16.4% compared to 15.0% in Baltic.
- Binge drinking is more common in Baltic at 23.1% compared to 16.1% in Twentynine palms.
- Twentynine palms has higher obesity rates at 39.3% compared to 34.5% in Baltic.
- There is a higher percentage of disabled individuals in Twentynine palms at 11.0% compared to 9.0% in Baltic.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Baltic | Twentynine palms |
---|---|---|
No Schooling | 0.2% (2) | 0.4% (115) |
High School Diploma | 15.1% (199) | 9.0% (2,543) |
Less than High School | 3.6% (48) | 6.5% (1,818) |
Bachelor's Degree and Higher | 19.1% (252) | 12.6% (3,560) |
Education Levels Comparison: Baltic vs Twentynine palms
- In Twentynine palms, a larger percentage of residents lack formal schooling at 0.4% compared to 0.2% in Baltic.
- A higher percentage of residents in Baltic hold a high school diploma at 15.1% compared to 9.0% in Twentynine palms.
- The percentage of residents with less than a high school education is higher in Twentynine palms at 6.5%, compared to 3.6% in Baltic.
- A higher percentage of residents in Baltic hold a bachelor's degree or higher at 19.1% compared to 12.6% in Twentynine palms.
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.