Demographics details for Little falls, NY vs Orange, CA
Population Overview
Compare main population characteristics in Little falls, NY vs Orange, CA.
| Data | Little falls | Orange |
|---|---|---|
| Population | 4,549 | 136,178 |
| Median Age | 38.3 years | 36.5 years |
| Median Income | $51,009 | $109,335 |
| Married Families | 30.0% | 40.0% |
| Poverty Level | 12% | 9% |
| Unemployment Rate | 3.6 | 4.1 |
Population Comparison: Little falls vs Orange
- The population in Orange is higher at 136,178, compared to 4,549 in Little falls.
- Residents in Little falls have a higher median age of 38.3 years compared to 36.5 years in Orange.
- Orange has a higher median income of $109,335, compared to $51,009 in Little falls.
- In Orange, the percentage of married families is higher at 40.0%, compared to 30.0% in Little falls.
- Little falls has a higher poverty level at 12% compared to 9% in Orange.
- Orange has a higher unemployment rate at 4.1% compared to 3.6% in Little falls.
Demographics
Demographics Little falls vs Orange provide insight into the diversity of the communities to compare.
| Demographic | Little falls | Orange |
|---|---|---|
| Black | 1 | 2 |
| White | 82 | 29 |
| Asian | Data is updating | 14 |
| Hispanic | 9 | 40 |
| Two or More Races | 8 | 14 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Little falls vs Orange
- In Orange, the percentage of Black residents is higher at 2% compared to 1% in Little falls.
- Little falls has a higher percentage of White residents at 82% compared to 29% in Orange.
- In Orange, the Asian population stands at 14%, greater than 0% in Little falls.
- Orange has a higher percentage of Hispanic residents at 40%, compared to 9% in Little falls.
- The percentage of residents identifying as two or more races is higher in Orange at 14%, compared to 8% in Little falls.
- In Orange, the percentage of American Indian residents is higher at 1%, compared to 0% in Little falls.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Little falls | Orange |
|---|---|---|
| Mental Health Not Good | 18.2% | 14.9% |
| Physical Health Not Good | 12.7% | 10.2% |
| Depression | 25.8% | 17.9% |
| Smoking | 23.4% | 10.5% |
| Binge Drinking | 19.3% | 16.8% |
| Obesity | 35.4% | 27.1% |
| Disability Percentage | 18.0% | 8.0% |
Health Statistics Comparison: Little falls vs Orange
- More residents in Little falls report poor mental health at 18.2% compared to 14.9% in Orange.
- Depression is more prevalent in Little falls at 25.8% compared to 17.9% in Orange.
- Smoking is more prevalent in Little falls at 23.4% compared to 10.5% in Orange.
- Binge drinking is more common in Little falls at 19.3% compared to 16.8% in Orange.
- Obesity rates are higher in Little falls at 35.4% compared to 27.1% in Orange.
- Disability percentages are higher in Little falls at 18.0% compared to 8.0% in Orange.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Little falls | Orange |
|---|---|---|
| No Schooling | 0.1% (4) | 1.8% (2,483) |
| High School Diploma | 15.0% (684) | 11.0% (14,986) |
| Less than High School | 8.4% (381) | 15.5% (21,174) |
| Bachelor's Degree and Higher | 14.3% (649) | 28.2% (38,372) |
Education Levels Comparison: Little falls vs Orange
- In Orange, a larger percentage of residents lack formal schooling at 1.8% compared to 0.1% in Little falls.
- A higher percentage of residents in Little falls hold a high school diploma at 15.0% compared to 11.0% in Orange.
- The percentage of residents with less than a high school education is higher in Orange at 15.5%, compared to 8.4% in Little falls.
- In Orange, a larger share of residents have a bachelor's degree or higher at 28.2% compared to 14.3% in Little falls.
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.