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.