Demographics details for Monroe, NY vs Reading, PA
Population Overview
Compare main population characteristics in Monroe, NY vs Reading, PA.
Data | Monroe | Reading |
---|---|---|
Population | 39,912 | 94,858 |
Median Age | 40.0 years | 31.1 years |
Median Income | $90,000 | $42,852 |
Married Families | 60.0% | 22.0% |
Poverty Level | 5% | 25% |
Unemployment Rate | 4.0 | 5.2 |
Population Comparison: Monroe vs Reading
- The population in Reading is higher at 94,858, compared to 39,912 in Monroe.
- Residents in Monroe have a higher median age of 40.0 years compared to 31.1 years in Reading.
- Monroe has a higher median income of $90,000 compared to $42,852 in Reading.
- A higher percentage of married families is found in Monroe at 60.0% compared to 22.0% in Reading.
- The poverty level is higher in Reading at 25%, compared to 5% in Monroe.
- Reading has a higher unemployment rate at 5.2% compared to 4.0% in Monroe.
Demographics
Demographics Monroe vs Reading provide insight into the diversity of the communities to compare.
Demographic | Monroe | Reading |
---|---|---|
Black | 5 | 11 |
White | 85 | 60 |
Asian | 5 | 1 |
Hispanic | 5 | 67 |
Two or More Races | Data is updating | 21 |
American Indian | Data is updating | 1 |
Demographics Comparison: Monroe vs Reading
- In Reading, the percentage of Black residents is higher at 11% compared to 5% in Monroe.
- Monroe has a higher percentage of White residents at 85% compared to 60% in Reading.
- The Asian population is larger in Monroe at 5% compared to 1% in Reading.
- Reading has a higher percentage of Hispanic residents at 67%, compared to 5% in Monroe.
- The percentage of residents identifying as two or more races is higher in Reading at 21%, compared to 0% in Monroe.
- In Reading, the percentage of American Indian residents is higher at 1%, compared to 0% in Monroe.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Monroe | Reading |
---|---|---|
Mental Health Not Good | Data is updating% | 19.7% |
Physical Health Not Good | Data is updating% | 18.1% |
Depression | Data is updating% | 23.1% |
Smoking | Data is updating% | 26.5% |
Binge Drinking | Data is updating% | 13.0% |
Obesity | Data is updating% | 44.7% |
Disability Percentage | Data is updating% | 20.0% |
Health Statistics Comparison: Monroe vs Reading
- In Reading, a higher percentage report poor mental health at 19.7% compared to 0.0% in Monroe.
- Higher depression rates are seen in Reading at 23.1% versus 0.0% in Monroe.
- Reading has a higher smoking rate at 26.5% compared to 0.0% in Monroe.
- More residents engage in binge drinking in Reading at 13.0% compared to 0.0% in Monroe.
- Reading has higher obesity rates at 44.7% compared to 0.0% in Monroe.
- There is a higher percentage of disabled individuals in Reading at 20.0% compared to 0.0% in Monroe.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Monroe | Reading |
---|---|---|
No Schooling | 0.0% (Data is updating) | 2.6% (2,442) |
High School Diploma | 0.0% (Data is updating) | 17.8% (16,896) |
Less than High School | 0.0% (Data is updating) | 32.2% (30,522) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 6.9% (6,512) |
Education Levels Comparison: Monroe vs Reading
- In Reading, a larger percentage of residents lack formal schooling at 2.6% compared to 0.0% in Monroe.
- In Reading, the rate of residents with high school diplomas is higher at 17.8% compared to 0.0% in Monroe.
- The percentage of residents with less than a high school education is higher in Reading at 32.2%, compared to 0.0% in Monroe.
- In Reading, a larger share of residents have a bachelor's degree or higher at 6.9% compared to 0.0% in Monroe.
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.