Demographics details for Coalinga, CA vs New york mills, NY

Population Overview

Compare main population characteristics in Coalinga, CA vs New york mills, NY.

Data Coalinga New york mills
Population 17,024 3,211
Median Age 35.0 years 49.6 years
Median Income $68,976 $55,000
Married Families 31.0% 35.0%
Poverty Level 15% 10%
Unemployment Rate 6.5 3.5

Population Comparison: Coalinga vs New york mills

  • In Coalinga, the population is higher at 17,024, compared to 3,211 in New york mills.
  • The median age in New york mills is higher at 49.6 years, compared to 35.0 years in Coalinga.
  • Coalinga has a higher median income of $68,976 compared to $55,000 in New york mills.
  • In New york mills, the percentage of married families is higher at 35.0%, compared to 31.0% in Coalinga.
  • Coalinga has a higher poverty level at 15% compared to 10% in New york mills.
  • The unemployment rate in Coalinga is higher at 6.5%, compared to 3.5% in New york mills.

Demographics

Demographics Coalinga vs New york mills provide insight into the diversity of the communities to compare.

Demographic Coalinga New york mills
Black 4 Data is updating
White 9 97
Asian 2 1
Hispanic 65 2
Two or More Races 18 Data is updating
American Indian 2 Data is updating

Demographics Comparison: Coalinga vs New york mills

  • A higher percentage of Black residents are in Coalinga at 4% compared to 0% in New york mills.
  • The percentage of White residents is higher in New york mills at 97% compared to 9% in Coalinga.
  • The Asian population is larger in Coalinga at 2% compared to 1% in New york mills.
  • The Hispanic community is larger in Coalinga at 65% compared to 2% in New york mills.
  • More residents identify as two or more races in Coalinga at 18% compared to 0% in New york mills.
  • A greater percentage of American Indian residents live in Coalinga at 2% compared to 0% in New york mills.

Health Statistics

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

Health Metric Coalinga New york mills
Mental Health Not Good 16.9% 15.9%
Physical Health Not Good 13.9% 10.1%
Depression 16.4% 25.2%
Smoking 17.2% 19.5%
Binge Drinking 15.9% 19.9%
Obesity 39.1% 33.7%
Disability Percentage 13.0% 17.0%

Health Statistics Comparison: Coalinga vs New york mills

  • More residents in Coalinga report poor mental health at 16.9% compared to 15.9% in New york mills.
  • Higher depression rates are seen in New york mills at 25.2% versus 16.4% in Coalinga.
  • New york mills has a higher smoking rate at 19.5% compared to 17.2% in Coalinga.
  • More residents engage in binge drinking in New york mills at 19.9% compared to 15.9% in Coalinga.
  • Obesity rates are higher in Coalinga at 39.1% compared to 33.7% in New york mills.
  • There is a higher percentage of disabled individuals in New york mills at 17.0% compared to 13.0% in Coalinga.

Education Levels

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

Education Level Coalinga New york mills
No Schooling 3.2% (537) 0.2% (6)
High School Diploma 13.8% (2,349) 9.5% (306)
Less than High School 39.2% (6,672) 5.4% (172)
Bachelor's Degree and Higher 8.1% (1,380) 31.2% (1,003)

Education Levels Comparison: Coalinga vs New york mills

  • A higher percentage of residents in Coalinga have no formal schooling at 3.2% compared to 0.2% in New york mills.
  • A higher percentage of residents in Coalinga hold a high school diploma at 13.8% compared to 9.5% in New york mills.
  • More residents in Coalinga have less than a high school education at 39.2% compared to 5.4% in New york mills.
  • In New york mills, a larger share of residents have a bachelor's degree or higher at 31.2% compared to 8.1% in Coalinga.

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.