Economic Dashboard

Real-time economic indicators, market data, and ski industry metrics

📊 Economic Indicators (11 metrics)

Why track these indicators? Ski resort revenue depends on consumer willingness and ability to spend on discretionary travel. These metrics track the macro conditions — employment, inflation, savings, confidence — that shape that spending environment.

📈 Markets & Interest Rates (7 indices + Mag 7)

Major Indices

S&P 500 Index

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Hotel & Lodging REITs

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Fed Funds Rate

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Magnificent 7 Stocks
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💱 Currency & Visitor Purchasing Power (23 metrics)

Visitor Purchasing Power Perspective — Metrics reoriented to show "what does 100 units of visitor currency buy in USD?" Higher values = more attractive destination. Research shows ski tourism is highly elastic to exchange rates (-1.5 to -2.2).

Thresholds: Green = favorable for your resort | Gray = neutral | Red = headwind. Currency impacts lag 3-6 months for destination travel bookings.
US Resort Purchasing Power
How attractive is skiing in the US for international visitors? Higher = better.

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Canadian Resort Purchasing Power
How attractive is Canada for US/international visitors? + Domestic retention signal.

$100 USD buys (CAD)

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Domestic Retention

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100 EUR buys (CAD)

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100 GBP buys (CAD)

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Luxury & Emerging Markets
Ultra-high-net-worth markets. Less price-elastic but affects ancillary spend, length of stay, and party size.

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100 INR buys...

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Competitive Destinations
How does CAD compare vs Alps (EUR/CHF) and Niseko (JPY)?

$100 USD → Whistler (CAD)

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$100 USD → Alps/France (EUR)

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$100 USD → Swiss Alps (CHF)

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$100 USD → Niseko (JPY)

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Dollar Strength Indices (Reference)

Trade-Weighted USD (Nominal)

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Trade-Weighted USD (Real)

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🛢️ Commodity Prices (4 commodities)

Oil and natural gas prices affect both guest travel costs (gasoline, airfare) and resort operating costs (heating, snowmaking). Gold and copper serve as broader economic sentiment and construction cost indicators for resort capital projects.

Gold ($/oz)

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Copper ($/lb)

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Electricity Pricing (8 ski states)

Commercial Sector Retail Electricity Rates (cents/kWh) — Monthly average prices paid by commercial customers including ski resorts, lodges, and related businesses. Data from EIA Electric Power Monthly.

Why these states? Selected for major ski markets: Colorado/Utah/Wyoming (Rocky Mountain), California (Tahoe/Mammoth), Vermont/New Hampshire (Northeast), and Washington (Pacific Northwest).

U.S. Average

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Colorado (Rockies)

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Utah (Wasatch)

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California (Tahoe/Mammoth)

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Vermont

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New Hampshire

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Washington (PNW)

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Wyoming (Jackson)

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🛂 US/Canada Border Crossings (16 metrics)

Personal Vehicle Passengers — Monthly counts of passengers crossing US/Canada land border ports. Key indicator for Canadian visitor flows to US ski markets. Data from Bureau of Transportation Statistics.

Ski Market Relevance: Canadian visitors represent a significant segment for Montana (Whitefish/Big Sky), Vermont, and Washington resorts.
US Border Entry Points
Canadian visitors entering US — all land border crossings combined.

US/Canada Total (Monthly)

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CAD/USD trend shown in orange overlay
Canadian Traveler Origins
Quarterly Canadian outbound visits to US by province of origin.
US Entry by State
State-level crossings for major ski market corridors. Shaded regions indicate ski season (Nov-Apr).

Montana

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Vermont

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Washington

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New York

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Maine

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Idaho

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Key Border Ports
Major crossing points with resort destinations served.

✈️ Air Travel Indicators (5 metrics + 16 ski airports)

Air Travel Demand Signals — Key indicators for understanding air travel patterns affecting ski destination access. Jet fuel prices are a leading indicator for airfare changes; TSA checkpoints provide real-time demand signals.
Pricing Indicators
Leading indicators for airfare changes. Fuel costs typically pass through to fares within 4-8 weeks.

Jet Fuel Price ($/gal)

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Demand Indicators
Overall air travel demand and capacity utilization signals.

National Enplanements

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Domestic Load Factor

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T-100 Passengers

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Real-Time Activity
Daily TSA checkpoint data provides near-real-time travel demand signals.

TSA Checkpoint Volume

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Ski Gateway Airports
Monthly passenger traffic at ski gateway airports with true month-over-month YoY comparisons. Filter by region or view all.

🎯 Prediction Markets (Kalshi + Polymarket)

Market-implied probabilities from Kalshi and Polymarket. These reflect trader expectations for economic outcomes affecting ski resort demand and operating costs.

Guest Demand Signals

Economic factors that influence consumer spending on ski trips

Recession Risk

Traders are betting on whether the US economy will officially enter a recession. Higher = more risk to discretionary travel spending.
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Fed Rate Decision

What traders expect the Federal Reserve to do at the next meeting. Rate cuts can stimulate consumer spending; hikes can slow it.
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Rate Cuts This Year

How many times traders expect the Fed to lower interest rates this calendar year. More cuts = easier borrowing and more consumer spending.
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Operating Cost Drivers

Commodity prices that affect resort operating expenses and guest travel costs

WTI Oil Price

West Texas Intermediate crude oil price range traders expect this week. Affects fuel, energy, and transportation costs for resorts and guests.
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Gas Price Outlook

National average retail gasoline price traders expect. "Settles" = when the bet pays out and we know the actual price.
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Inflation Outlook

Core PCE inflation rate traders expect. The Fed's preferred inflation gauge, which influences interest rate decisions and consumer purchasing power.
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🎰 Sports Betting Activity (Competing Discretionary Spend)

What is "handle"? Handle is the total amount of money wagered on sports—not the profit kept by sportsbooks. If bettors wager $100 million and win back $93 million, the handle is $100 million. Handle measures consumer spending behavior.

Why track sports betting? A significant market for new skiers and snowboarders is adult males ages 18-35. To the extent that some of these individuals are more focused on sports betting than in the past, it may reduce their discretionary income and therefore reduce their participation frequency—or their likelihood of picking up skiing or snowboarding at all.

Regulatory context: The U.S. Supreme Court struck down PASPA (the Professional and Amateur Sports Protection Act) in May 2018, allowing states to legalize sports betting. In 2019 (the first full year post-legalization), total U.S. handle was $13.1 billion. By 2024, it reached $149.2 billion—an increase of over 1,000%. 38 states plus D.C. now have legal sports betting markets. In Canada, single-game sports betting became legal nationwide in August 2021, with Ontario launching its regulated iGaming market in April 2022.

Data from Sports Handle (U.S.) and iGaming Ontario.

North America Overview

Growth in sports betting may reduce discretionary income available for ski trips, particularly among males 18-35

U.S. Trailing 12-Month Handle

Total dollars wagered on sports in the U.S. over the past year. Rapid growth indicates shifting discretionary spending patterns.
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U.S. Latest Month

Most recent monthly sports betting handle. Seasonality follows major sports calendars (NFL, NBA, MLB).
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Ontario TTM Handle

Ontario (Canada's largest regulated iGaming market) trailing 12-month sports betting handle in USD.
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Handle Per Capita

Annual U.S. sports betting handle divided by adult population (~260M). Context: average ski lift ticket ≈ $250.
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U.S. Monthly Handle Trend

Monthly sports betting handle since 2019 - note the rapid growth trajectory

Bettor Payout Percentage

Percentage of wagered money returned to bettors as winnings. The remainder (typically 5-10%) is sportsbook revenue ("hold"). Lower payout = higher cost to bettors.

Annual U.S. Handle Totals

Total dollars wagered per year across all U.S. states with legal sports betting. Green percentages show year-over-year growth vs. prior year.
Context: In 2019, only a handful of states had legal sports betting. By 2024, 38 states plus D.C. were operational. The growth reflects both new states coming online and increased adoption in existing markets.
NixVir Ski Industry Data & Analytics