New York City Spend Signals
Real-time hospitality spend intelligence across dining, entertainment, retail, and lodging
Spend by Category
Hospitality spend breakdown by merchant category
Cardholder Origin
Domestic vs international spend split
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% | β 14.2% |
| 2 | CA Canada | $98M | 12.0% | β 8.7% |
| 3 | BR Brazil | $76M | 9.3% | β 22.1% |
| 4 | FR France | $68M | 8.3% | β 11.4% |
| 5 | DE Germany | $54M | 6.6% | β 9.3% |
| 6 | MX Mexico | $51M | 6.2% | β 18.6% |
| 7 | JP Japan | $47M | 5.7% | β 31.2% |
| 8 | AU Australia | $44M | 5.4% | β 15.8% |
| 9 | IT Italy | $38M | 4.6% | β 10.1% |
| 10 | KR South Korea | $35M | 4.3% | β 28.4% |
Top Domestic Origins
Domestic spend by origin region
| # | Origin | Spend | Share | YoY |
|---|---|---|---|---|
| 1 | NY New York (Local) | $498M | 31.3% | β 4.2% |
| 2 | FL Florida | $143M | 9.0% | β 7.8% |
| 3 | TX Texas | $127M | 8.0% | β 9.1% |
| 4 | CA California | $118M | 7.4% | β 5.6% |
| 5 | NJ New Jersey | $112M | 7.0% | β 3.8% |
| 6 | PA Pennsylvania | $89M | 5.6% | β 6.2% |
| 7 | CT Connecticut | $72M | 4.5% | β 4.9% |
| 8 | GA Georgia | $54M | 3.4% | β 11.2% |
Day-of-Week Pattern
Spend index by day (100 = weekly average)
Weekend premium: Sat/Sun spend 24% above weekday average
Monthly Spend Trend
Total hospitality spend by month (2026 vs 2025)
Cross-Signal Correlations
How spend relates to other market indicators
Key Insights
Notable patterns and anomalies
NYC Hospitality CPI
BLS price indices by hospitality category, Dec 2025 YoY
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
| 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% |