Demographics details for Goleta, CA vs Philadelphia, PA
Population Overview
Compare main population characteristics in Goleta, CA vs Philadelphia, PA.
Data | Goleta | Philadelphia |
---|---|---|
Population | 32,432 | 1,567,258 |
Median Age | 35.0 years | 34.8 years |
Median Income | $113,889 | $57,537 |
Married Families | 37.0% | 26.0% |
Poverty Level | 8% | 25% |
Unemployment Rate | 3.2 | 4.7 |
Population Comparison: Goleta vs Philadelphia
- The population in Philadelphia is higher at 1,567,258, compared to 32,432 in Goleta.
- Residents in Goleta have a higher median age of 35.0 years compared to 34.8 years in Philadelphia.
- Goleta has a higher median income of $113,889 compared to $57,537 in Philadelphia.
- A higher percentage of married families is found in Goleta at 37.0% compared to 26.0% in Philadelphia.
- The poverty level is higher in Philadelphia at 25%, compared to 8% in Goleta.
- Philadelphia has a higher unemployment rate at 4.7% compared to 3.2% in Goleta.
Demographics
Demographics Goleta vs Philadelphia provide insight into the diversity of the communities to compare.
Demographic | Goleta | Philadelphia |
---|---|---|
Black | 3 | 41 |
White | 34 | 29 |
Asian | 11 | 8 |
Hispanic | 37 | 16 |
Two or More Races | 14 | 6 |
American Indian | 1 | Data is updating |
Demographics Comparison: Goleta vs Philadelphia
- In Philadelphia, the percentage of Black residents is higher at 41% compared to 3% in Goleta.
- Goleta has a higher percentage of White residents at 34% compared to 29% in Philadelphia.
- The Asian population is larger in Goleta at 11% compared to 8% in Philadelphia.
- The Hispanic community is larger in Goleta at 37% compared to 16% in Philadelphia.
- More residents identify as two or more races in Goleta at 14% compared to 6% in Philadelphia.
- A greater percentage of American Indian residents live in Goleta at 1% compared to 0% in Philadelphia.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Goleta | Philadelphia |
---|---|---|
Mental Health Not Good | 13.9% | 18.0% |
Physical Health Not Good | 9.2% | 12.8% |
Depression | 18.1% | 21.0% |
Smoking | 9.8% | 18.9% |
Binge Drinking | 17.0% | 16.9% |
Obesity | 26.7% | 31.3% |
Disability Percentage | 8.0% | 17.0% |
Health Statistics Comparison: Goleta vs Philadelphia
- In Philadelphia, a higher percentage report poor mental health at 18.0% compared to 13.9% in Goleta.
- Higher depression rates are seen in Philadelphia at 21.0% versus 18.1% in Goleta.
- Philadelphia has a higher smoking rate at 18.9% compared to 9.8% in Goleta.
- Binge drinking is more common in Goleta at 17.0% compared to 16.9% in Philadelphia.
- Philadelphia has higher obesity rates at 31.3% compared to 26.7% in Goleta.
- There is a higher percentage of disabled individuals in Philadelphia at 17.0% compared to 8.0% in Goleta.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Goleta | Philadelphia |
---|---|---|
No Schooling | 2.6% (836) | 1.5% (23,668) |
High School Diploma | 7.0% (2,263) | 18.3% (287,402) |
Less than High School | 15.7% (5,090) | 13.3% (207,719) |
Bachelor's Degree and Higher | 32.6% (10,582) | 23.4% (366,310) |
Education Levels Comparison: Goleta vs Philadelphia
- A higher percentage of residents in Goleta have no formal schooling at 2.6% compared to 1.5% in Philadelphia.
- In Philadelphia, the rate of residents with high school diplomas is higher at 18.3% compared to 7.0% in Goleta.
- More residents in Goleta have less than a high school education at 15.7% compared to 13.3% in Philadelphia.
- A higher percentage of residents in Goleta hold a bachelor's degree or higher at 32.6% compared to 23.4% in Philadelphia.
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.