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What is Effective Tariff Rate (ETR)? Complete Guide for 2025

In 2024, the average U.S. importer paid 2.2% in tariffs on all imported goods—a seemingly modest figure. But dig deeper and you find vast disparities: importers from China paid 20.7% on average, while those importing from Mexico paid just 1.1%.

Why the difference? Because statutory tariff rates (what's written in tariff schedules) and effective tariff rates (what importers actually pay) are often worlds apart.

Understanding Effective Tariff Rate (ETR) is critical whether you're an importer budgeting landed costs, a trader analyzing tariff markets, or a policy analyst measuring real trade impacts. This guide explains what ETR is, how to calculate it step-by-step, why it differs from statutory rates, and how to access the data.

Table of Contents

  1. Definition: What is Effective Tariff Rate?
  2. How to Calculate Effective Tariff Rate (Step-by-Step)
  3. Why ETR is Different from Statutory Tariff Rates
  4. Why Effective Tariff Rate Matters
  5. How to Access ETR Data
  6. Common Questions About ETR
  7. How Traders Use ETR Data
  8. Conclusion

Definition: What is Effective Tariff Rate?

What It Is

Effective Tariff Rate (ETR) is a backward-looking metric that measures the actual tariff rate paid on imports from a specific country or region over a defined period.

Formula:

ETR = (Total Calculated Duties / Total Customs Value) × 100

Components:

  • Calculated Duties: The total tariffs owed and collected by U.S. Customs and Border Protection on imports during the period (e.g., one month). This includes all applicable tariffs—MFN rates, Section 301 tariffs, antidumping duties, countervailing duties, Section 232 tariffs.

  • Customs Value: The transaction value of imports, typically the FOB (Free On Board) price paid to the foreign supplier. This is the baseline against which tariffs are calculated.

Key Insight: ETR is backward-looking, not forward-looking. It tells you what importers actually paid in the past, based on Census Bureau customs data. It's not a forecast or a statutory schedule rate.

What It's NOT

ETR is often confused with other tariff concepts. Here's what it's not:

  1. Not the same as statutory/MFN rate: China's MFN (Most Favored Nation) rate averages 3%, but China's ETR was 20.7% in January 2025 due to Section 301 tariffs layered on top of MFN rates.

  2. Not the same as effective tax rate in income taxes: While both use "effective" to mean "actual rate paid," the mechanisms differ. Income tax ETR accounts for deductions and credits; tariff ETR accounts for product mix, exemptions, and trade remedies.

  3. Not a forecast: ETR describes historical data (what happened last month), not predictions. To forecast future ETR, you need policy analysis and prediction markets.


How to Calculate Effective Tariff Rate (Step-by-Step)

Calculating ETR requires three steps: obtaining data, applying the formula, and interpreting the result.

Step 1: Get the Data

Where to find it:

  • U.S. Census Bureau: Publishes monthly trade data including customs value and calculated duties by partner country. Access via USA Trade Online (subscription) or free aggregate reports.

  • IMF PortWatch: Provides aggregated port-level data at https://portwatch.imf.org/ (free). Excellent visualizations but port-level, not country-level.

  • Ballast Markets: Displays historical ETR data and forward market prices at country level (free to view).

Data structure:

ETR is typically calculated at the partner country level—U.S. imports from China, U.S. imports from Mexico, etc.

Timeframe:

Monthly data is standard. The Census Bureau publishes with a 6-8 week lag. For example, July 2024 import data was published in mid-September 2024.

Step 2: The Formula

ETR Formula:

ETR = (Calculated Duties / Customs Value) × 100

Example Calculation (China, January 2024):

Using data from Yale Budget Lab and Census Bureau sources:

  • Customs Value: $35,847,000,000 (total FOB value of U.S. imports from China in January 2024)
  • Calculated Duties: $6,890,000,000 (total tariffs collected)
  • ETR Calculation: (6,890 / 35,847) × 100 = 19.22%

Rounding: Always round to two decimal places for consistency. Prediction markets use this standard for settlement.

Step 3: Interpret the Result

What different ETR levels mean:

  • 0-3%: MFN rates only, typical for most WTO trading partners (EU, Japan, South Korea). This reflects normal trade relationships without additional tariffs.

  • 3-10%: Some additional duties applied—antidumping duties, countervailing duties, or specific product tariffs. Example: Steel imports from certain countries face Section 232 tariffs (25% on steel), raising aggregate ETR.

  • 10-25%: Heavy Section 301 or Section 232 tariffs. China consistently falls in this range due to 2018-2019 tariffs still in effect.

  • 25%+: Protectionist measures, trade sanctions, or reciprocal tariffs. Rare except during trade disputes.

Compare to historical averages: China ETR averaged 14.2% from 2018-2024. A reading of 20.7% (January 2025) is 6.5 percentage points above baseline, signaling increased tariff pressure.


Why ETR is Different from Statutory Tariff Rates

Understanding the gap between statutory rates and ETR is crucial for accurate cost forecasting.

MFN vs. Applied vs. Effective

Three tariff rate concepts often get confused:

  1. MFN (Most Favored Nation) Rate: The baseline tariff rate established under WTO agreements. This is the default rate for WTO members. Averages 1-5% for most goods. Example: China MFN rate averages 3.3%.

  2. Applied Rate: The actual tariff schedule including trade agreements, preferences (GSP), and additional tariffs (Section 301/232). This is what the Harmonized Tariff Schedule shows. Example: Furniture from China faces 25% Section 301 tariff (applied rate).

  3. Effective Rate (ETR): What importers actually paid after accounting for exemptions, product mix, drawbacks, and enforcement. Example: China ETR was 20.7% in January 2025, not 3% (MFN) or 25% (applied on many products).

Why They Differ

Five factors create the gap:

1. Trade Remedies

Antidumping and countervailing duties (AD/CVD) target specific products and exporters. These aren't reflected in standard MFN rates.

Example: Chinese aluminum extrusions face 374% AD/CVD duties, but this only affects that specific HTS code. Aggregate China ETR reflects weighted average across all products.

2. Section 301/232 Tariffs (U.S. Specific)

These overlay tariffs on top of MFN rates:

  • Section 301: Punitive tariffs for unfair trade practices (China intellectual property theft). Applied to $370 billion of Chinese imports at 7.5-25% rates.

  • Section 232: National security tariffs on steel (25%) and aluminum (10%) from most countries.

3. Tariff Engineering (HTS Code Optimization)

Importers reclassify products to lower-tariff HTS codes when legally permissible. This reduces effective rates below statutory schedules.

Example: Furniture importers might import unassembled parts (lower tariff) and assemble in the U.S. rather than import finished furniture (higher tariff).

4. Product Mix Effects

ETR is a weighted average. If 60% of imports are electronics (high tariff) and 40% textiles (low tariff), ETR reflects this mix.

Month-to-month ETR changes often result from shifting product mix, not policy changes.

5. Exemptions and Exclusions

Several programs reduce effective rates:

  • De minimis: Shipments under $800 pay no duties (significant for e-commerce).
  • Free trade zones: Goods processed in FTZs may avoid duties.
  • Tariff drawbacks: Refunds for re-exported goods.
  • Section 301 exclusions: USTR grants product-specific exemptions (2,200 granted 2018-2020, ~4% approval rate).

Real Example: China ETR History

China's ETR evolution demonstrates these dynamics:

| Year | China ETR | Key Policy Events | |------|-----------|-------------------| | 2017 | 3.1% | Normal MFN relationship | | 2018 | 12.3% | Section 301 Lists 1-3 ($250B at 25%) | | 2019 | 19.6% | Section 301 List 4 added ($120B at 7.5-15%) | | 2020-2024 | 18-20% | Phase One deal, some exclusions, stable | | Jan 2025 | 20.7% | Biden tariff increases, some exclusion expirations |

Source: Yale Budget Lab "State of U.S. Tariffs" reports (2024-2025), Peterson Institute for International Economics

Notice: Statutory MFN rate (3.1%) never changed, but ETR increased 6.7x due to layered tariffs.


Why Effective Tariff Rate Matters

ETR is more than an academic metric—it has real financial implications across industries.

For Importers & Trade Desks

1. Budget Accuracy

ETR is the true cost of doing business. Using statutory rates (3% MFN) when effective rate is 20% leads to massive budget shortfalls.

Case: A furniture importer budgeted $2.625M duties (7.5% ETR) on $35M China imports. Actual ETR hit 25% in late 2024, creating $6.25M duty bill—$3.625M unbudgeted cost. Read the full case study.

2. Landed Cost Calculations

Landed cost = FOB + Freight + Duties + Other charges. Using ETR (not statutory rate) ensures accurate pricing.

Formula:

Landed Cost = FOB × (1 + Freight% + ETR% + Other%)

Example: $1,000 FOB goods from China:

  • Freight: 5% = $50
  • ETR: 20% = $200 (not 3% MFN = $30)
  • Other: 2% = $20
  • Landed: $1,270 (vs. $1,100 if you used MFN rate—15% error)

3. Supplier Negotiations

Track ETR trends to negotiate pricing. If China ETR rises from 18% to 22%, you can request 4% FOB price reduction to maintain landed cost.

4. Hedging Decisions

ETR volatility = financial risk. High volatility (standard deviation greater than 5 pp) justifies hedging via prediction markets.

China ETR standard deviation (2018-2024): 6.8 percentage points. Coefficient of variation: 0.48 (high volatility).

For Policy Analysts

1. Measures Actual Trade Policy Impact

Statutory tariff announcements (e.g., "25% on all steel") don't reflect reality. ETR captures exemptions, exclusions, and product mix shifts.

2. Better for Economic Modeling

Trade models using statutory rates overestimate tariff revenue and underestimate import volumes. ETR provides accurate inputs.

Example: Budget Lab analysis shows 2024 tariff collections were $80B using ETR methodology vs. $95B estimated using statutory rates (19% overestimate).

3. Captures Enforcement and Compliance

ETR reflects customs enforcement. Lax enforcement = lower ETR (goods misclassified). Strict enforcement = higher ETR.

For Traders & Speculators

1. ETR is the Settlement Metric

Tariff prediction markets on Ballast Markets resolve to published ETR from Census Bureau. Understanding ETR = understanding what you're trading.

2. Market Prices Reflect ETR Expectations

If "China ETR December 2025" trades at 18-22% bucket = $0.60, market expects 60% probability ETR lands in that range.

3. Historical ETR Informs Strategy

Mean reversion strategies, trend following, and volatility trading all require ETR historical data.

Learn more about prediction markets trading strategies.


How to Access ETR Data

ETR data is publicly available through several official and commercial sources.

Official Sources (Free or Low-Cost)

1. U.S. Census Bureau

  • Portal: USA Trade Online (https://usatrade.census.gov/)
  • Data: Monthly trade statistics by country, including customs value, calculated duties, and product-level detail (HTS 2, 4, 6, 10-digit codes)
  • Format: CSV downloads, requires processing to calculate ETR
  • Lag: 6-8 weeks after month-end (July data published mid-September)
  • Cost: Free aggregate data; detailed data requires subscription (~$300-600/year)
  • How to Calculate: Download country-level data → Sum "Calculated Duties" column → Sum "Customs Value" column → Divide and multiply by 100

2. IMF PortWatch

  • Portal: https://portwatch.imf.org/
  • Data: Port-level import/export data with excellent visualizations
  • Limitation: Port level, not country level; doesn't directly show ETR but shows duty collections and import values
  • Lag: 1-2 months
  • Cost: Free
  • Best for: Understanding port-specific trade patterns, visual exploration

3. Ballast Markets

  • Portal: https://ballastmarkets.com/
  • Data: Historical ETR charts back to 2018, current market prices reflecting forward ETR expectations
  • Coverage: China, Mexico, Canada, India, Vietnam, EU (major trading partners)
  • Lag: Historical data updated monthly when Census publishes; forward markets real-time
  • Cost: Free to view
  • Best for: Traders and importers tracking ETR trends and hedging

Paid Sources (Professional Access)

1. Bloomberg Terminal

  • Function: USCT (U.S. Trade Statistics)
  • Data: Real-time trade data, faster than Census Bureau (1-2 day lag for preliminary data)
  • Cost: ~$2,000/month (full Bloomberg subscription)
  • Best for: Financial institutions, large importers

2. Trade Data Monitor (TDM)

  • Portal: https://www.tradedatamonitor.com/
  • Data: Granular HTS-level trade data, supplier-level data, customs bond records
  • Cost: ~$5,000-15,000/year depending on coverage
  • Best for: Trade desks, customs brokers, compliance teams

3. Refinitiv Eikon

  • Data: Trade statistics, tariff schedules, policy alerts
  • Cost: ~$1,500/month (Eikon subscription)
  • Best for: Financial analysts, policy researchers

Common Questions About ETR

What's the difference between ETR and tariff rate?

Tariff rate typically refers to the statutory rate in the Harmonized Tariff Schedule. For example, "25% Section 301 tariff on Chinese furniture" is a statutory rate.

ETR is the actual rate paid after exemptions, drawbacks, product mix effects, and all other factors.

Example:

  • Statutory: 25% (HTS 9403 furniture, Section 301 List 3)
  • ETR: 18.5% (aggregate China furniture imports, accounting for exclusions, exemptions)

ETR is always more accurate for budgeting real costs.

Why does China's ETR change every month?

Four primary drivers:

1. Product Mix Changes: If laptop imports drop 30% (laptops face 25% tariff) and textile imports rise 20% (textiles face 7.5%), aggregate ETR falls even with no policy change.

2. Exemption Renewals: Section 301 exclusions expire and renew. When 500 product exclusions expired in December 2020, China ETR rose 1.8 percentage points in January 2021.

3. Enforcement Changes: Customs cracks down on misclassified goods (e.g., declaring high-tariff electronics as low-tariff "parts"). Increased enforcement raises ETR.

4. Normal Statistical Noise: Census Bureau samples some smaller import transactions. Month-to-month volatility of ±0.5-1.0 pp is normal statistical variation.

China ETR ranged 18.2%-20.4% in 2024 despite minimal policy changes—product mix explained 80% of variance.

Can ETR be lower than MFN rate?

Yes, due to preferential programs:

1. Free Trade Agreements: USMCA (U.S.-Mexico-Canada Agreement) provides 0% tariffs on qualifying goods. Mexico ETR was 0.8% in 2020 (vs. 3.3% MFN average) because 60% of imports qualified for USMCA preferences.

2. Generalized System of Preferences (GSP): Developing countries get duty-free treatment on certain goods. (Note: GSP expired in 2020 and hasn't been renewed as of 2025.)

3. De Minimis Exemptions: Shipments valued under $800 pay no duties. For countries with heavy e-commerce imports (small packages), this significantly lowers ETR.

4. Tariff Drawbacks: Importers re-exporting goods can claim duty refunds (99% of duties paid). This doesn't affect aggregate ETR calculation but reduces net cost to importers.

Canada ETR: 0.9% (January 2025) vs. 3.1% MFN average—USMCA preferences on vehicles, energy, agriculture drive difference.

How is ETR used in prediction markets?

ETR is the settlement metric for tariff prediction markets on Ballast Markets.

Contract Structure:

  • Underlying: "China ETR [Month] [Year]" (e.g., "China ETR December 2025")
  • Buckets: Scalar ranges (e.g., "15-20%", "20-25%", "25-30%", "≥40%")
  • Settlement: Official ETR published by U.S. Census Bureau for specified month
  • Payout: Bucket containing actual ETR pays $1.00 per share; all others pay $0.00
  • Rounding: Two decimals (e.g., 19.22% settles in "15-20%" bucket)

Example:

  1. You buy "20-25%" bucket at $0.40/share (implied 40% probability)
  2. Census publishes December 2025 China ETR = 22.8%
  3. Your bucket wins → Payout $1.00/share
  4. Profit: $1.00 - $0.40 = $0.60 per share (150% return)

This allows importers to hedge tariff exposure and speculators to trade policy forecasts.

What's a normal ETR for different countries?

ETR varies by trade relationship:

| Country/Region | ETR (Jan 2025) | Primary Drivers | |----------------|----------------|-----------------| | China | 20.7% | Section 301 tariffs (7.5-25% on $370B goods) | | Mexico | 1.1% | USMCA preferences (0% on 90%+ of imports) | | Canada | 0.9% | USMCA preferences (0% on 95%+ of imports) | | European Union | 2.1% | MFN rates, some product-specific tariffs | | Vietnam | 4.8% | MFN + some AD/CVD on steel, furniture | | India | 3.2% | MFN rates, some trade remedies | | All Countries Avg | 2.2% | Blended average across all U.S. imports |

Source: Yale Budget Lab "State of U.S. Tariffs: October 2025", U.S. Census Bureau trade statistics

Interpretation:

  • less than 2%: Free trade preferences or low-tariff product mix
  • 2-5%: Normal MFN relationship
  • 5-10%: Some trade remedies or higher-tariff products
  • 10-25%: Strategic tariffs (Section 301/232)
  • greater than 25%: Trade sanctions or extreme protectionism

How often is ETR data published?

U.S. Census Bureau:

  • Frequency: Monthly
  • Lag: 6-8 weeks after month-end
  • Example: July 2024 data published mid-September 2024
  • Historical Data: Available back to 1989
  • Access: USA Trade Online (subscription) or free summary reports

IMF PortWatch:

  • Frequency: Monthly
  • Lag: 1-2 months
  • Access: Free (https://portwatch.imf.org/)

Commercial Sources (Bloomberg, TDM):

  • Frequency: Daily to weekly (preliminary estimates)
  • Lag: 1-2 days for preliminary, updated when Census finalizes
  • Access: Paid subscriptions

Ballast Markets:

  • Historical Data: Updated monthly when Census publishes (6-8 week lag)
  • Forward Prices: Real-time (continuous market trading)

For time-sensitive decisions, commercial sources provide faster preliminary data. For official settlement and historical analysis, Census Bureau is the authoritative source.


How Traders Use ETR Data

ETR data supports three primary trading strategies: forecasting, spread analysis, and hedging.

Forecasting Future ETR

Predicting ETR requires combining policy analysis, historical patterns, and economic indicators.

1. Policy Analysis

Track USTR (U.S. Trade Representative) announcements, Congressional hearings, and Federal Register notices.

Example: USTR publishes annual Section 301 review schedule. If July review historically leads to 2-3 pp ETR increase 3 months later, you can forecast Q4 ETR.

Key sources:

  • USTR Federal Register notices: https://www.regulations.gov (search "USTR-2024")
  • Senate Finance Committee hearings: Trade policy signals from Chairman/ranking member
  • White House trade policy statements: Executive orders, fact sheets

2. Historical Patterns

ETR exhibits seasonal and political patterns:

Seasonal: December ETR often 1-2 pp higher (holiday import surge shifts product mix toward consumer electronics—higher tariffs).

Political Cycles: Election years show 15-20% higher ETR volatility. Pre-election: candidates threaten tariffs. Post-election: new administration implements.

China ETR by presidential action:

  • 2017-2018: +9.2 pp (Section 301 Lists 1-3)
  • 2019-2020: +7.3 pp (List 4, then Phase One reduction)
  • 2021-2024: -1.4 pp (Biden exclusion renewals)

3. Economic Indicators

Import volumes and product mix correlate with ETR:

  • Laptop imports ↓30%: Expect ETR ↓0.8-1.2 pp (laptops face 25%)
  • Furniture imports ↑20%: Expect ETR ↑0.5-0.9 pp (furniture faces 7.5-25%)

Track Census advance monthly retail sales (electronics, furniture) as leading indicators.

4. Market Sentiment

What are prediction markets pricing?

If "China ETR Dec 2025" shows:

  • 15-20%: $0.15 (15% probability)
  • 20-25%: $0.55 (55%)
  • 25-30%: $0.25 (25%)
  • ≥40%: $0.05 (5%)

Market consensus: 20-25% (modal bucket), expected value = 22.3% (probability-weighted average).

If your analysis predicts 18%, you might short 20-25% and buy 15-20%.

ETR as a Trading Signal

ETR volatility creates opportunities:

1. Spread Analysis

Compare countries to identify arbitrage or hedging opportunities.

Example: China-Vietnam spread

  • China ETR: 20.7%
  • Vietnam ETR: 4.8%
  • Spread: 15.9 pp

If you believe nearshoring accelerates (more production moves China→Vietnam), you might:

  • Short China ETR (expect reduction as import volumes shift)
  • Long Vietnam ETR (expect increase as enforcement tightens)

Read: China vs Mexico ETR Spread—Nearshoring Trade

2. Term Structure

Near-term vs. long-term ETR expectations reveal market views on policy trajectory.

Example:

  • China ETR Mar 2025: $0.60 for 20-25% bucket
  • China ETR Dec 2025: $0.40 for 20-25% bucket

Interpretation: Market expects tariffs to rise from March (60% probability 20-25%) to December (40% probability → likely higher bucket). This "contango" suggests escalation risk.

3. Mean Reversion Strategies

ETR tends to revert to policy baseline after short-term shocks.

Example: April 2025 furniture tariff spike hit 145% ETR (reciprocal tariffs). Within 30 days, truce reduced to 30%. Traders who bought "20-40%" bucket expecting reversion made 200-400% returns.

Historical mean reversion: China ETR returns to ±2 pp of 6-month moving average within 90 days (78% of cases, 2018-2024).

Hedging with ETR Markets

Importers use ETR prediction markets to lock in tariff costs.

Hedging Mechanics:

Your Situation: Import $10M/year from China, current ETR 20%.

Your Risk: ETR could rise to 30% (USTR Section 301 escalation).

Your Hedge: Buy "25-30%" or "≥30%" buckets on Ballast Markets.

Scenario 1: ETR rises to 28%

  • Incremental duties: $10M × (28% - 20%) = $800K
  • Hedge payout: "25-30%" bucket wins → $1.00/share
  • If you bought $800K notional at $0.20 → Payout $800K, profit $640K
  • Net cost: $800K duties - $640K hedge profit = $160K (vs. $800K unhedged)

Scenario 2: ETR stays at 20%

  • Incremental duties: $0
  • Hedge payout: $0 (out of bucket)
  • Net cost: $0 duties + $160K hedge cost = $160K "insurance premium"

ROI Calculation: Hedge breaks even if ETR rises 1.6 pp (from 20% to 21.6%). If probability greater than 20%, hedge is actuarially favorable.

Basis Risk: Your specific HTS codes may differ from aggregate ETR. If you import excluded products, your effective rate may be lower. Adjust hedge size accordingly.

For detailed hedging strategies, see Tariff Hedging 101: How Importers Protect Margins.


Conclusion

Effective Tariff Rate (ETR) is the most accurate measure of what importers actually pay in tariffs, far more reliable than statutory MFN rates or tariff schedule rates.

Key Takeaways:

  1. ETR = (Calculated Duties / Customs Value) × 100 — The formula is simple, but data access and interpretation require understanding policy nuances.

  2. ETR differs from statutory rates due to trade remedies, exemptions, product mix, and enforcement. China's 20.7% ETR vs. 3% MFN rate exemplifies this gap.

  3. ETR matters for budgeting (importers), economic modeling (policy analysts), and trading (speculators). Using statutory rates leads to 15-30% cost estimation errors.

  4. Data is accessible: Census Bureau (free/low-cost), IMF PortWatch (free visualizations), commercial terminals (Bloomberg, TDM), and Ballast Markets (free historical + forward prices).

  5. ETR is the settlement metric for tariff prediction markets, enabling hedging and speculation on trade policy outcomes.

Whether you're an importer protecting margins, a trader seeking alpha, or a policy analyst measuring real trade impacts, understanding ETR is essential for navigating the complexities of U.S. trade policy in 2025.

Ready to explore ETR markets? See live China and India ETR prices, historical charts back to 2018, and upcoming contract expirations on Ballast Markets.


Sources

  • Yale Budget Lab: "State of U.S. Tariffs: October 17, 2025" (accessed October 2025)
  • Yale Budget Lab: "The Fiscal and Economic Effects of the Revised April 9 Tariffs" (2025)
  • Peterson Institute for International Economics (PIIE): "US-China Trade War Tariffs: An Up-to-Date Chart" (2024)
  • U.S. Census Bureau: "Information on the Collection and Publication of Trade Statistics" (accessed October 2024)
  • U.S. Census Bureau: "Data Products Catalog - Foreign Trade Statistics" (accessed October 2024)
  • IMF PortWatch: Port-level trade statistics (https://portwatch.imf.org/, accessed October 2024)
  • U.S. International Trade Commission (USITC): DataWeb tariff and trade database (https://dataweb.usitc.gov/)
  • China Briefing: "US-China Tariff Rates - What Are They Now?" (2025)
  • Richmond Federal Reserve: "Tariffs: Estimating the Economic Impact of the 2025 Measures and Proposals" (Economic Brief 25-12, 2025)

Disclaimer: This content is for informational and educational purposes only and does not constitute financial, investment, or legal advice. Effective Tariff Rate data is subject to revisions by the U.S. Census Bureau. Trading prediction markets involves risk of loss. Consult a qualified financial advisor, tax professional, and legal counsel before making import, hedging, or investment decisions. Ballast Markets is a product of Blink AI (https://blinklabs.ai, [email protected]). For more information, see Risk Disclosures.

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