Demographics details for Central valley, NY vs Paris, KY

Population Overview

Compare main population characteristics in Central valley, NY vs Paris, KY.

Data Central valley Paris
Population 1,857 10,075
Median Age 46.0 years 36.6 years
Median Income $111,250 $46,752
Married Families 75.0% 32.0%
Poverty Level 3% 12%
Unemployment Rate 3.2 4.2

Population Comparison: Central valley vs Paris

  • The population in Paris is higher at 10,075, compared to 1,857 in Central valley.
  • Residents in Central valley have a higher median age of 46.0 years compared to 36.6 years in Paris.
  • Central valley has a higher median income of $111,250 compared to $46,752 in Paris.
  • A higher percentage of married families is found in Central valley at 75.0% compared to 32.0% in Paris.
  • The poverty level is higher in Paris at 12%, compared to 3% in Central valley.
  • Paris has a higher unemployment rate at 4.2% compared to 3.2% in Central valley.

Demographics

Demographics Central valley vs Paris provide insight into the diversity of the communities to compare.

Demographic Central valley Paris
Black 1 8
White 90 79
Asian 1 Data is updating
Hispanic 8 5
Two or More Races Data is updating 7
American Indian Data is updating 1

Demographics Comparison: Central valley vs Paris

  • In Paris, the percentage of Black residents is higher at 8% compared to 1% in Central valley.
  • Central valley has a higher percentage of White residents at 90% compared to 79% in Paris.
  • The Asian population is larger in Central valley at 1% compared to 0% in Paris.
  • The Hispanic community is larger in Central valley at 8% compared to 5% in Paris.
  • The percentage of residents identifying as two or more races is higher in Paris at 7%, compared to 0% in Central valley.
  • In Paris, the percentage of American Indian residents is higher at 1%, compared to 0% in Central valley.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Central valley Paris
Mental Health Not Good Data is updating% 19.9%
Physical Health Not Good Data is updating% 15.0%
Depression Data is updating% 27.5%
Smoking Data is updating% 23.5%
Binge Drinking Data is updating% 14.2%
Obesity Data is updating% 38.8%
Disability Percentage Data is updating% 19.0%

Health Statistics Comparison: Central valley vs Paris

  • In Paris, a higher percentage report poor mental health at 19.9% compared to 0.0% in Central valley.
  • Higher depression rates are seen in Paris at 27.5% versus 0.0% in Central valley.
  • Paris has a higher smoking rate at 23.5% compared to 0.0% in Central valley.
  • More residents engage in binge drinking in Paris at 14.2% compared to 0.0% in Central valley.
  • Paris has higher obesity rates at 38.8% compared to 0.0% in Central valley.
  • There is a higher percentage of disabled individuals in Paris at 19.0% compared to 0.0% in Central valley.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Central valley Paris
No Schooling 0.0% (Data is updating) 4.2% (424)
High School Diploma 0.0% (Data is updating) 17.8% (1,790)
Less than High School 0.0% (Data is updating) 20.9% (2,105)
Bachelor's Degree and Higher 0.0% (Data is updating) 13.5% (1,365)

Education Levels Comparison: Central valley vs Paris

  • In Paris, a larger percentage of residents lack formal schooling at 4.2% compared to 0.0% in Central valley.
  • In Paris, the rate of residents with high school diplomas is higher at 17.8% compared to 0.0% in Central valley.
  • The percentage of residents with less than a high school education is higher in Paris at 20.9%, compared to 0.0% in Central valley.
  • In Paris, a larger share of residents have a bachelor's degree or higher at 13.5% compared to 0.0% in Central valley.

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.