Health
People Living with HIV

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People Living with HIV

What does this measure?

The number of people living with HIV, per 100,000 residents.

Why is this important?

HIV, the virus that causes AIDS, is a serious though preventable infection that has a disproportionate impact on ethnic and racial minorities. Although there is no cure, new treatments are helping people with HIV live longer. Still, these treatment regimens are complex, cause serious side effects, and become ineffective as HIV mutates.

How is the region performing?

In 2016, there were 97 people living with HIV per 100,000 residents in the Mid-Hudson Valley region, slightly higher than the state (excluding NYC) rate of 93. The rate decreased by 4% in the region since 2002. Columbia had the highest rate per 100,000 residents (143), followed by Sullivan (134). Putnam and Orange counties had the lowest rates (59 and 91 respectively).

Notes about the data

Figures do not include prisoners, as counts with prisoners increased rates dramatically for counties with correctional facilities. Data for this indicator are expected to be released in the fourth quarter, with a two-year delay.

People Living with HIV
200220032004200520062007200820092010201120122013201420152016
Region101105102969490888683838485899397
Columbia County971001049493989689100102109125140140143
Dutchess County112117109110111103888983828482829096
Greene County1061051057985871011228386101103110105116
Orange County919389888383827983828384928891
Putnam County394337333431314035464348505259
Sullivan County180188186154144131134126129119112106115120134
Ulster County1071121161071039510395848583838499100
NYS (excluding NYC)788180787774757574757778828893

Source: New York State Department of Health
Notes: Figures are per 100,000 residents. HIV data excludes prisoners.




Total HIV Cases
200220032004200520062007200820092010201120122013201420152016
Region1,1191,1741,1511,0891,0641,0209999879509509569671,0181,0551,108
Columbia County616366605962615663646878878687
Dutchess County321339320324327304261264248244249243243265283
Greene County515151394243506041424950535055
Orange County321334324320303304303295310307311315347334345
Putnam County384337333431314035464348505258
Sullivan County134142142118111102104981009286828790101
Ulster County193202211195188174189174153155150151151178179
NYS (excluding NYC)8,5768,9738,9498,6368,5268,2368,3358,3518,2948,4568,6158,8329,2549,68710,239

Source: New York State Department of Health
Notes: Figures exclude prisoners.




INDICATORS TREND | STATE
Children Living in Poverty Increasing
Children Living in Poverty, by Race/Ethnicity Decreasing
Single-Parent Families Increasing
Single-Parent Families, by Race/Ethnicity Decreasing
Rate of Child Abuse and Neglect Increasing
Rate of Foster Care Admissions Maintaining
Teen Pregnancy Decreasing
Live Births to Teen Mothers Decreasing
Juvenile Delinquency Intakes Decreasing
Bullying at School Decreasing
Average Charitable Giving Increasing
Voter Registration Rate Increasing
Voter Participation Rate Decreasing
Total Population Increasing
Population by Age Decreasing
Population by Race/Ethnicity Increasing
Household Types Increasing
Change in Total Jobs Increasing
Foreign-Born Population Increasing
Employment by Sector Not Applicable
Spending for County Government Increasing
Tourism Revenue Increasing
Preschoolers Receiving Special Education Services Increasing
Prekindergarten Participation Increasing
Students Receiving Special Education Services Increasing
Per-Student Spending Increasing
Student Performance on Grade 4 English, by Student Group Increasing
Student Performance on Grade 4 English, by Race/Ethnicity Increasing
Student Performance on Grade 4 Math, by Student Group Increasing
Student Performance on Grade 4 Math, by Race/Ethnicity Increasing
High School Cohort Graduation Rate Increasing
High School Cohort Dropout Rate Decreasing
High School GED Rate Decreasing
Plans of High School Graduates Increasing
Education Levels of Adults Increasing
Education Levels of Adults, by Race/Ethnicity Increasing
Median Household Income Decreasing
Median Household Income, by Race/Ethnicity Decreasing
People Living in Poverty Increasing
People Living in Poverty, by Race/Ethnicity Increasing
Seniors Living in Poverty Decreasing
Children Receiving Subsidized Child Care Maintaining
Veterans Living in Poverty Maintaining
Economically Disadvantaged Students Increasing
Earned Income Tax Credit Participation Maintaining
Living Wage Rate by Household Type Increasing
Income in Relation to Poverty Level Maintaining
People Without Health Insurance Decreasing
Early Prenatal Care, by Mother's Race/Ethnicity Not Applicable
Domestic Violence Increasing
Deaths from Drug Overdoses Increasing
Babies with Low Birth Weights Maintaining
People Living wth HIV Decreasing
Mental Health Clinic Visits Decreasing
Homeownership Rates Maintaining
Homeless Persons Decreasing
Housing Affordability for Homeowners Maintaining
Housing Affordability for Renters Increasing
Violent Crimes Decreasing


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