New York City Spend Signals

Real-time hospitality spend intelligence across dining, entertainment, retail, and lodging

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Total Hospitality Spend
$2.41B
↑ 8.2% YoY
+14.3% vs 2019
Avg Transaction
$127
↑ 4.1% YoY
Transaction Volume
19.0M
↑ 3.9% YoY
volume β€” no adjustment
International Share
34%
↑ 2.1 pts YoY
Spend per Visitor
$312
↑ 6.8% YoY
NYC Hospitality CPI: +3.8% YoY (BLS blended: dining, lodging, recreation, retail) β€” +24.1% cumulative since 2019
Real values deflated using DATABUDDIE Hospitality CPIβ„’ β€” a category-weighted blend of BLS CPI components for food away from home, lodging, recreation & retail (NYC-Newark-Jersey City MSA, Dec 2025)

Spend by Category

Hospitality spend breakdown by merchant category

Dining
$1.01B
↑ 9.1%
Full-Service Restaurants$584M
Quick Service$242M
Bars & Nightlife$127M
Cafes & Coffee$59M
Experiential
$578M
↑ 11.3%
Broadway & Theater$187M
Attractions & Museums$156M
Tours & Experiences$134M
Sports & Events$101M
Retail
$434M
↑ 3.2%
Apparel & Fashion$198M
Souvenirs & Gifts$112M
Luxury Goods$89M
Other Retail$35M
Lodging
$386M
↑ 7.4%
Hotels (Full Service)$247M
Hotels (Limited Service)$98M
Short-Term Rentals$41M
Show subcategories

Cardholder Origin

Domestic vs international spend split

34%
Int'l
Domestic $1.59B ↑ 6.1%
International $820M ↑ 12.4%

International spend growing 2x faster than domestic

Top International Origins

International spend by origin country

# Origin Spend Share YoY
1 GB United Kingdom $142M 17.3% ↑ 14.2%
2 CA Canada $98M 12.0% ↑ 8.7%
3 BR Brazil $76M 9.3% ↑ 22.1%
4 FR France $68M 8.3% ↑ 11.4%
5 DE Germany $54M 6.6% ↑ 9.3%
6 MX Mexico $51M 6.2% ↑ 18.6%
7 JP Japan $47M 5.7% ↑ 31.2%
8 AU Australia $44M 5.4% ↑ 15.8%
9 IT Italy $38M 4.6% ↑ 10.1%
10 KR South Korea $35M 4.3% ↑ 28.4%

Top Domestic Origins

Domestic spend by origin region

# Origin Spend Share YoY
1 NY New York (Local) $498M 31.3% ↑ 4.2%
2 FL Florida $143M 9.0% ↑ 7.8%
3 TX Texas $127M 8.0% ↑ 9.1%
4 CA California $118M 7.4% ↑ 5.6%
5 NJ New Jersey $112M 7.0% ↑ 3.8%
6 PA Pennsylvania $89M 5.6% ↑ 6.2%
7 CT Connecticut $72M 4.5% ↑ 4.9%
8 GA Georgia $54M 3.4% ↑ 11.2%

Day-of-Week Pattern

Spend index by day (100 = weekly average)

Mon 87
Tue 82
Wed 91
Thu 98
Fri 118
Sat 134
Sun 112

Weekend premium: Sat/Sun spend 24% above weekday average

Monthly Spend Trend

Total hospitality spend by month (2026 vs 2025)

Jan
Feb
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
2026 2025

Cross-Signal Correlations

How spend relates to other market indicators

Arrivals β†’ Spend
+0.94
Strong positive: More arrivals = more spend
Hotel Occupancy β†’ F&B
+0.87
High occupancy drives restaurant demand
Broadway Grosses β†’ Dining
+0.82
Theater nights lift nearby restaurants
Weather (Temp) β†’ Retail
+0.31
Modest: Better weather = more shopping
Int'l Arrivals β†’ Luxury Retail
+0.91
Int'l visitors drive high-end purchases
Spend Lag from Booking
~14 days
OTA bookings predict spend 2 weeks ahead
Nominal Growth β†’ Real Growth
βˆ’3.8pp
Hospitality CPI spread: subtract 3.8pp from nominal YoY for real signal

Key Insights

Notable patterns and anomalies

Real spend still -7.8% below 2019: Despite +14.3% nominal growth vs pre-pandemic, cumulative NYC hospitality inflation of 24.1% means the market hasn't recovered in real terms. Volume recovery β‰  value recovery.
Japanese visitor spend surging (+31% YoY nominal, ~26% real) β€” Yen stabilization and new direct routes driving record tourism from Japan, outpacing inflation significantly.
Broadway spillover effect: Restaurants within 3 blocks of Times Square see 22% higher spend on show nights vs non-show nights.
Avg transaction flat in real terms (+0.3%): The headline +4.1% YoY transaction growth is almost entirely price inflation. Visitors aren't buying more β€” they're paying more.
Experiential outpacing dining in real growth: At +6.0% real vs +5.8% real, experiences are gaining wallet share β€” a premiumization signal that persists after inflation adjustment.

NYC Hospitality CPI

BLS price indices by hospitality category, Dec 2025 YoY

Food Away from Home +3.1%
Shelter / Lodging +4.2%
Recreation +5.0%
Apparel & Retail +1.5%
Hospitality CPI (Blended) +3.8%
NYC Headline CPI +3.4%
US National CPI +2.7%
Cumulative Hospitality Inflation Since 2019
+24.1%
$100 of hospitality spend in 2019 now costs $124.10 β€” real purchasing power gap explains why nominal "recovery" overstates market health
Source: BLS CPI NYC-Newark-Jersey City MSA, Dec 2025. Hospitality CPI is DATABUDDIE's proprietary category-weighted blend.

Methodology

Data sources and inflation adjustment

Spend signals are derived from proprietary multi-signal models developed by DATABUDDIE. Our methodology combines multiple independent economic proxies to estimate real-time hospitality spend at the market level.

Inflation adjustment: Real values use DATABUDDIE Hospitality CPIβ„’, a category-weighted blend of BLS CPI sub-indices for the NYC-Newark-Jersey City MSA: food away from home (42%), lodging away from home (16%), recreation (24%), and apparel/retail (18%). Weights reflect NYC hospitality spend composition.

Data is validated against official NYC tourism statistics, quarterly earnings from public hospitality companies, and Census Bureau retail indicators.

Update frequency: Weekly (Wednesdays) | Lag: T+5 days | CPI update: Monthly (BLS release)

Commercial Corridor Intelligence

BID health metrics and license velocity for tourism-critical corridors

10
Tourism BIDs Tracked
3,215
Storefronts
202M
Annual Foot Traffic
8.3%
Avg Vacancy Rate
Corridor Neighborhood Health Index Foot Traffic Vacancy Assessment YoY
Times Square Alliance Midtown 78 50.0M 8.1% +4.2%
Bryant Park Corporation Midtown 75 12.0M 4.8% +5.1%
DUMBO Improvement District DUMBO, Brooklyn 73 9.2M 5.4% +6.2%
Hudson Yards / Hell's Kitchen Hudson Yards 71 18.0M 6.1% +8.4%
Grand Central Partnership Midtown East 69 28.0M 9.2% +2.8%
Alliance for Downtown NY Financial District 65 32.0M 11.4% +3.1%
Verified Data Sources: NYC SBS BID Trends Reports, DCWP Legally Operating Businesses, NYC Open Data open data API API
Intelligence as of February 2026
DATABUDDIE Reconβ„’ is currently in BETA. Data is derived from public sources and may contain estimates. Not intended as investment advice. All figures subject to verification.