Tourism Revenue, per Resident

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Tourism Revenue, per Resident

What does this measure?

The amount of money (in 2019 dollars) spent by visitors while in the region. This includes recreation, hotel bookings, fuel purchases, and other visitor expenditures.

Why is this important?

Tourism brings external money into a region's economy, fueling the development of new industry and attractions. The sense that a region is a tourist destination also increases regional pride.

How is the region performing?

Visitors to the Mid-Hudson Valley contributed over $3.4 billion to the region's economy in 2019, or $3,008 per resident. Statewide (excluding NYC), the figure was $2,333 per resident. The regional rate in 2019 was up 40% from 2007, a pre-recession peak. Revenue fell in 2008 and 2009, but has increased every year since 2010, with the per-resident figure increasing 54% over that period. Among individual counties, Sullivan had the highest per-person revenue from tourism in 2019 at $7,661, followed by Greene at $4,082 and Ulster at $3,855. Putnam, at $674 per-person had the lowest tourism revenue rate in the region.

Notes about the data

The figures are presented per county resident to allow comparisons among counties of different sizes, but the spending is by tourists. New York State data excludes the heavy concentration of tourism in New York City. Data for this indicator are expected to be released in the third quarter.

Tourism Revenue, per Resident
Columbia County$1,856$1,999$2,042$1,977$1,850$1,888$1,966$2,059$2,084$2,154$2,293$2,461$2,673$2,871$2,983
Dutchess County$1,987$2,008$2,046$1,967$1,760$1,780$1,781$1,783$1,784$1,862$1,938$2,066$2,137$2,225$2,292
Greene County$3,663$3,811$3,584$3,563$3,268$3,302$3,340$3,317$3,377$3,484$3,445$3,553$3,754$3,977$4,082
Orange County$1,351$1,394$1,400$1,362$1,198$1,209$1,243$1,275$1,276$1,298$1,315$1,339$1,353$2,770$2,721
Putnam County$715$706$719$709$649$643$624$588$612$622$642$675$668$658$674
Sullivan County$5,139$4,757$4,598$4,979$4,783$5,221$5,151$5,273$5,178$5,313$5,597$5,960$6,254$6,955$7,661
Ulster County$2,790$3,074$3,193$3,059$2,741$2,768$2,826$2,909$3,070$3,076$3,198$3,297$3,427$3,718$3,855
NYS (excluding NYC)$1,994$2,018$2,113$2,091$1,862$1,909$1,960$2,002$2,009$2,045$2,092$2,145$2,193$2,300$2,333

Source: NYS Empire State Development
Notes: Figures are in constant 2019 dollars.

Total Tourism Revenue
Columbia County$118,256,744$126,764,531$129,505,408$125,022,025$116,613,111$119,061,500$122,909,988$128,552,259$129,589,029$133,418,129$140,865,521$149,716,416$161,273,263$171,624,737$177,370,754
Dutchess County$584,881,167$591,900,485$604,286,235$582,743,956$522,386,984$529,453,459$531,027,218$529,539,510$528,468,500$549,671,447$569,883,368$605,358,268$627,426,260$653,900,254$674,235,272
Greene County$180,007,138$188,704,287$177,557,462$176,254,447$161,360,266$162,486,420$163,205,013$161,179,937$163,123,701$167,117,735$164,047,620$168,746,933$178,103,469$188,414,733$192,639,033
Orange County$492,301,392$511,287,369$515,962,488$504,103,230$445,897,354$450,625,970$465,178,725$476,418,570$477,683,839$486,396,513$494,259,242$505,687,256$513,662,397$1,058,626,148$1,047,434,764
Putnam County$71,205,645$70,139,549$71,530,003$70,546,944$64,681,387$64,037,399$62,288,905$58,616,778$60,896,813$61,851,868$63,696,187$66,636,803$66,059,249$65,053,323$66,310,999
Sullivan County$394,550,880$367,385,196$358,578,480$387,113,816$371,407,343$404,616,774$396,905,864$405,658,877$398,447,260$401,821,838$418,807,216$446,552,031$469,045,829$524,419,116$577,905,352
Ulster County$509,068,983$562,147,387$583,696,020$560,299,123$500,691,466$505,277,216$515,568,330$528,157,184$554,804,891$554,957,183$574,622,714$590,294,448$612,219,228$663,335,598$684,581,205
NYS (excluding NYC)$22,168,895,532$22,421,728,875$23,490,555,576$23,298,813,456$20,805,862,323$21,385,230,245$22,005,048,043$22,479,626,773$22,560,784,230$22,943,178,702$23,413,360,558$23,943,595,020$24,455,999,221$25,625,028,325$25,938,983,336

Source: NYS Empire State Development
Notes: Figures are in constant 2019 dollars.

Children Living in Poverty Increasing
Children Living in Poverty, by Race/Ethnicity Not Applicable
Single-Parent Families Increasing
Single-Parent Families, by Race/Ethnicity Not Applicable
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 Not Applicable
Population by Race/Ethnicity Not Applicable
Household Types Not Applicable
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 Not Applicable
Student Performance on Grade 4 English, by Race/Ethnicity Not Applicable
Student Performance on Grade 4 Math, by Student Group Not Applicable
Student Performance on Grade 4 Math, by Race/Ethnicity Not Applicable
High School Cohort Graduation Rate Increasing
High School Cohort Dropout Rate Decreasing
High School GED Rate Maintaining
Plans of High School Graduates Not Applicable
Education Levels of Adults Not Applicable
Education Levels of Adults, by Race/Ethnicity Not Applicable
Median Household Income Decreasing
Median Household Income, by Race/Ethnicity Not Applicable
People Living in Poverty Increasing
People Living in Poverty, by Race/Ethnicity Not Applicable
Seniors Living in Poverty Maintaining
Children Receiving Subsidized Child Care Maintaining
Veterans Living in Poverty Decreasing
Economically Disadvantaged Students Increasing
Earned Income Tax Credit Participation Decreasing
Living Wage Rate by Household Type Not Applicable
Income in Relation to Poverty Level Not Applicable
People Without Health Insurance Decreasing
Early Prenatal Care, by Mother's Race/Ethnicity Not Applicable
Domestic Violence Decreasing
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 Maintaining
Housing Affordability for Homeowners Maintaining
Housing Affordability for Renters Not Applicable
Violent Crimes Decreasing