Consumer Price Index (CPI) Calculator
How to Calculate CPI: The Complete Expert Guide (2024)
Module A: Introduction & Importance of CPI
The Consumer Price Index (CPI) is the most critical economic indicator for measuring inflation and cost-of-living changes. Published monthly by the U.S. Bureau of Labor Statistics, CPI tracks the average change over time in prices paid by urban consumers for a market basket of consumer goods and services.
Why CPI Matters
- Economic Policy: The Federal Reserve uses CPI data to make interest rate decisions that affect the entire economy
- Wage Adjustments: Many labor contracts include automatic cost-of-living adjustments (COLAs) tied to CPI
- Government Benefits: Social Security payments and other federal benefits are adjusted annually based on CPI-W (CPI for Urban Wage Earners)
- Business Planning: Companies use CPI to forecast pricing strategies and budget for raw material costs
- Investment Decisions: Investors analyze CPI trends to adjust portfolios for inflation protection
The “market basket” concept is fundamental to CPI calculation. This representative sample includes approximately 80,000 items categorized into 200+ groups, from food and housing to medical care and education. The BLS conducts monthly price surveys of 23,000 retail and service establishments to collect this data.
Module B: How to Use This CPI Calculator
Our interactive calculator provides instant CPI calculations with visual trend analysis. Follow these steps for accurate results:
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Enter Base Year: Input the reference year (typically when the market basket was defined)
- Common base years include 1982-1984 (CPI-U base) or 2020 for recent comparisons
- For historical analysis, use years when major economic events occurred (e.g., 2008 financial crisis)
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Enter Current Year: Input the year you want to compare against the base year
- Must be after the base year for meaningful comparison
- For future projections, use reasonable estimates based on current inflation trends
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Input Cost Values: Enter the exact dollar amounts for the market basket
- Base Year Cost: What the basket cost in the base year (e.g., $100)
- Current Year Cost: What the same basket costs now (e.g., $120)
- Use precise numbers for accurate percentage calculations
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Select Category (Optional): Choose a specific spending category or leave as “All Items”
- Category-specific CPI can reveal divergent inflation rates (e.g., medical care often inflates faster than food)
- Use this for targeted analysis of particular expense areas
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Review Results: The calculator provides four key metrics
- Base Year CPI: Always 100 for your selected base year
- Current Year CPI: The calculated index value showing price level changes
- Inflation Rate: Percentage change between the years
- Price Change: Absolute dollar difference in the market basket cost
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Analyze the Chart: Visual representation of CPI trends
- Blue line shows the CPI progression between your selected years
- Hover over data points for exact values
- Use this to identify periods of high/low inflation
Pro Tip:
For most accurate results, use the official BLS CPI data to input actual cost values rather than estimates. The BLS provides detailed tables by expenditure category and geographic area.
Module C: CPI Formula & Methodology
The Consumer Price Index uses a specific mathematical formula to calculate price changes over time. Understanding this methodology is crucial for accurate interpretation.
The Core CPI Formula
The basic CPI calculation compares the cost of a fixed market basket between two periods:
CPI = (Cost of Market Basket in Current Period / Cost of Market Basket in Base Period) × 100
Step-by-Step Calculation Process
-
Define the Market Basket:
The BLS determines a representative sample of goods and services that urban consumers typically purchase. This includes:
- Food and beverages (13.5% weight)
- Housing (42.1% weight – largest component)
- Apparel (2.7% weight)
- Transportation (15.3% weight)
- Medical care (9.0% weight)
- Recreation (5.8% weight)
- Education and communication (6.3% weight)
- Other goods and services (5.3% weight)
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Conduct Price Surveys:
Each month, BLS data collectors visit or call thousands of retail stores, service establishments, rental units, and doctors’ offices to obtain price information on the items in the market basket.
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Calculate Cost Index:
For each item in the basket, the current price is compared to the base period price. These are combined using expenditure weights to create the overall index.
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Apply Weighting:
Each category is weighted based on its importance in the average consumer’s budget. Housing receives the highest weight because it represents the largest expenditure for most households.
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Compute Percentage Change:
The inflation rate is calculated as: [(Current CPI – Previous CPI) / Previous CPI] × 100
Types of CPI Measurements
| CPI Type | Description | Primary Use | Key Difference |
|---|---|---|---|
| CPI-U | Consumer Price Index for All Urban Consumers | General economic analysis | Covers ~93% of U.S. population |
| CPI-W | Consumer Price Index for Urban Wage Earners and Clerical Workers | Social Security COLAs | Covers ~29% of population (hourly workers) |
| Core CPI | CPI excluding food and energy | Monetary policy decisions | Less volatile, better for long-term trends |
| Chained CPI | Accounts for consumer substitution | Tax bracket adjustments | Typically shows lower inflation (~0.25-0.5% less) |
| CPI-E | Experimental CPI for Elderly | Research on senior inflation | Weights medical care more heavily (2x) |
Common Calculation Errors to Avoid
- Base Year Misselection: Always verify whether your data uses 1982-84=100 or another base period
- Quality Adjustment Ignorance: CPI accounts for product quality changes (e.g., a smartphone in 2023 vs 2010)
- Geographic Variations: CPI differs by region (urban vs rural, Northeast vs Midwest)
- Seasonal Factors: Some items have predictable seasonal price fluctuations (e.g., gasoline, produce)
- Substitution Bias: Fixed-weight CPI doesn’t account for consumers switching to cheaper alternatives
Module D: Real-World CPI Calculation Examples
Let’s examine three practical scenarios demonstrating how to calculate CPI in different contexts. Each example includes the exact numbers you would input into our calculator.
Example 1: General Inflation (2020-2023)
Scenario: A financial analyst wants to calculate the overall inflation rate between 2020 and 2023 to adjust investment portfolios.
Inputs:
- Base Year: 2020
- Current Year: 2023
- Base Cost: $10,000 (representative market basket)
- Current Cost: $11,850
- Category: All Items
Calculation:
- CPI 2023 = ($11,850 / $10,000) × 100 = 118.5
- Inflation Rate = [(118.5 – 100) / 100] × 100 = 18.5%
- Price Change = $11,850 – $10,000 = $1,850
Analysis: This 18.5% cumulative inflation over 3 years translates to approximately 5.8% annualized inflation, significantly higher than the Federal Reserve’s 2% target. Investors would likely increase allocations to inflation-protected securities like TIPS.
Example 2: Housing-Specific CPI (2019-2022)
Scenario: A real estate developer analyzes housing cost changes to set rental prices.
Inputs:
- Base Year: 2019
- Current Year: 2022
- Base Cost: $1,500 (average monthly rent)
- Current Cost: $1,980
- Category: Housing
Calculation:
- CPI 2022 = ($1,980 / $1,500) × 100 = 132.0
- Inflation Rate = [(132.0 – 100) / 100] × 100 = 32.0%
- Price Change = $1,980 – $1,500 = $480
Analysis: Housing inflation (32%) far outpaced general CPI (15% over same period) due to post-pandemic demand surges and supply chain constraints. Developers might implement 8-10% annual rent increases to maintain profitability.
Example 3: Medical Care CPI for Seniors (2018-2023)
Scenario: A retirement planner calculates medical inflation for a 68-year-old client.
Inputs:
- Base Year: 2018
- Current Year: 2023
- Base Cost: $6,200 (annual medical expenses)
- Current Cost: $8,974
- Category: Medical Care
Calculation:
- CPI 2023 = ($8,974 / $6,200) × 100 = 144.74
- Inflation Rate = [(144.74 – 100) / 100] × 100 = 44.74%
- Price Change = $8,974 – $6,200 = $2,774
Analysis: Medical inflation (44.74%) dramatically exceeds general CPI (21% over same period). The planner would recommend:
- Increasing health savings account (HSA) contributions
- Purchasing supplemental Medicare coverage
- Allocating 15-20% of retirement portfolio to healthcare-specific investments
Module E: CPI Data & Statistics
Understanding historical CPI trends and comparative data is essential for accurate economic analysis. Below are two comprehensive data tables showing long-term patterns and category-specific variations.
Table 1: Historical U.S. CPI Data (1913-2023)
| Year | Annual CPI | Inflation Rate | Notable Economic Event |
|---|---|---|---|
| 1913 | 9.9 | N/A | Federal Reserve founded |
| 1920 | 20.0 | 15.6% | Post-WWI inflation peak |
| 1933 | 13.0 | -9.9% | Great Depression deflation |
| 1945 | 18.0 | 2.3% | End of WWII price controls |
| 1950 | 24.1 | 1.3% | Korean War begins |
| 1960 | 29.6 | 1.7% | Post-war economic boom |
| 1970 | 38.8 | 5.7% | Beginning of stagflation |
| 1974 | 49.3 | 11.0% | Oil embargo crisis |
| 1980 | 82.4 | 13.5% | Peak inflation period |
| 1990 | 130.7 | 5.4% | Gulf War recession |
| 2000 | 172.2 | 3.4% | Dot-com bubble peak |
| 2008 | 215.3 | 3.8% | Financial crisis begins |
| 2013 | 233.0 | 1.5% | Post-Great Recession recovery |
| 2020 | 258.8 | 1.4% | COVID-19 pandemic begins |
| 2022 | 292.7 | 8.0% | Post-pandemic inflation surge |
| 2023 | 300.8 | 3.2% | Inflation cooling begins |
Table 2: CPI by Major Category (2023 Weights and 5-Year Changes)
| Category | Weight (%) | 2018 CPI | 2023 CPI | 5-Year Change | Annualized Rate |
|---|---|---|---|---|---|
| All Items | 100.0 | 251.1 | 300.8 | 19.8% | 3.7% |
| Food and Beverages | 13.5 | 250.4 | 316.2 | 26.3% | 4.8% |
| Housing | 42.1 | 256.3 | 308.5 | 20.4% | 3.8% |
| Apparel | 2.7 | 127.0 | 123.5 | -2.8% | -0.6% |
| Transportation | 15.3 | 203.1 | 252.7 | 24.4% | 4.5% |
| Medical Care | 9.0 | 356.2 | 520.4 | 46.1% | 8.0% |
| Recreation | 5.8 | 118.5 | 132.7 | 12.0% | 2.3% |
| Education and Communication | 6.3 | 109.8 | 118.4 | 7.8% | 1.5% |
| Other Goods and Services | 5.3 | 210.3 | 258.9 | 23.1% | 4.3% |
Key Statistical Insights
- Long-Term Average: Since 1913, U.S. CPI has increased at an average annual rate of 3.1%
- Volatility Periods: The 1970s (avg 7.1% annual inflation) and early 1980s (peak 13.5% in 1980) represent the most volatile periods
- Modern Stability: From 1990-2019, inflation averaged 2.3% annually before the 2021-2022 surge
- Category Divergence: Medical care inflation (8.0% annualized) runs 2-3x higher than recreation (2.3%)
- Deflation Events: Only three years since 1913 showed negative inflation: 1921 (-10.8%), 1932 (-9.9%), and 2009 (-0.4%)
- Pandemic Impact: 2021-2022 saw the highest inflation since 1981, with transportation costs rising 24.4% in 5 years
- Housing Dominance: As the largest component (42.1% weight), housing changes have outsized impact on overall CPI
Data sources: Bureau of Labor Statistics, FRED Economic Data, and Federal Reserve Bank of Minneapolis
Module F: Expert Tips for CPI Analysis
Mastering CPI calculation and interpretation requires understanding these professional insights from economists and financial analysts.
Advanced Calculation Techniques
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Use Chained CPI for Long-Term Analysis:
- Accounts for consumer substitution between similar goods
- Typically shows 0.25-0.5% lower inflation than standard CPI
- Formula: Geometric mean of price relatives rather than fixed weights
-
Adjust for Quality Changes:
- BLS uses hedonic quality adjustment for technology products
- Example: A 2023 smartphone with 4x the processing power may be considered “the same” as a 2020 model
- Without adjustment, CPI would overstate tech price increases
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Calculate Real Values:
- Convert nominal dollars to real dollars using: Real Value = Nominal Value × (Base CPI / Current CPI)
- Example: $50,000 in 2020 → $50,000 × (258.8/300.8) = $43,045 in 2023 dollars
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Analyze Trimmed-Mean CPI:
- Excludes most extreme price changes (typically 8% of items each tail)
- Better reflects underlying inflation trends by removing noise
- Federal Reserve prefers this for policy decisions
Practical Application Strategies
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Salary Negotiation:
- Use category-specific CPI to justify raises (e.g., tech workers emphasize housing costs)
- Calculate your personal inflation rate by tracking actual spending changes
-
Investment Planning:
- Compare CPI to asset returns: S&P 500 (7% avg) vs CPI (3.1% avg) shows real return of ~3.9%
- Allocate to TIPS (Treasury Inflation-Protected Securities) when CPI > 3%
-
Business Pricing:
- Implement CPI-linked pricing clauses in long-term contracts
- For subscription services, consider annual increases of CPI + 1-2%
-
Retirement Planning:
- Use CPI-E (experimental elderly index) for more accurate medical cost projections
- Plan for 4-5% annual healthcare inflation vs 2-3% general inflation
Common Pitfalls to Avoid
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Ignoring Base Year Differences:
- 1982-84=100 is standard, but some data uses 1967=100 or other bases
- Always verify the base period when comparing datasets
-
Overlooking Geographic Variations:
- Urban CPI often runs 0.5-1.0% higher than rural areas
- Regional differences can exceed 2% (e.g., NYC vs Midwest)
-
Misinterpreting Core CPI:
- Excluding food/energy removes volatility but may miss important signals
- During supply shocks (e.g., 2022 oil crisis), core CPI can understate true inflation
-
Neglecting Weight Updates:
- BLS updates expenditure weights every 2 years based on Consumer Expenditure Survey
- 2023 weights reflect pandemic-induced spending shifts (more at-home goods)
-
Confusing CPI with PPI:
- Producer Price Index (PPI) measures wholesale prices, often leads CPI by 3-6 months
- CPI reflects what consumers actually pay, including taxes and retail margins
“The single most important number for understanding the economy is the inflation rate. But most people don’t realize CPI is actually a family of indexes – the right choice depends on whether you’re analyzing wages, setting policy, or planning retirement.”
Module G: Interactive CPI FAQ
How often is the official CPI data updated?
The Bureau of Labor Statistics publishes CPI data monthly, typically around the 12th of each month for the previous month’s data. The release schedule is available on the BLS website.
Key points about the update cycle:
- Preliminary data is collected during the first three weeks of each month
- Final calculations incorporate late-arriving data through the 9th of the following month
- Annual revisions occur each February to incorporate updated seasonal adjustments
- Expenditure weights are updated every two years based on the Consumer Expenditure Survey
For most accurate analysis, always use the most recent data rather than preliminary estimates.
What’s the difference between CPI and PCE (Personal Consumption Expenditures)?
While both measure inflation, CPI and PCE (the Federal Reserve’s preferred metric) have important differences:
| Feature | CPI | PCE |
|---|---|---|
| Scope | Urban consumers only | All consumers and businesses |
| Weighting Method | Fixed basket | Chained (allows substitution) |
| Data Source | Household surveys | Business sales data |
| Coverage | Out-of-pocket expenses | Includes employer-paid items |
| Historical Average (2000-2023) | 2.4% | 2.1% |
| Federal Reserve Use | Secondary indicator | Primary policy target |
The PCE typically runs 0.3-0.5% lower than CPI due to:
- Broader scope including rural populations
- More comprehensive substitution effects
- Different weighting methodology
For most personal financial decisions, CPI is more relevant as it reflects actual consumer experiences.
Can CPI be negative? What does that mean?
Yes, CPI can be negative, indicating deflation (a general decline in prices). Since 1913, there have been 26 months with negative CPI readings, concentrated in three major periods:
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1920-1921: Post-WWI deflation (-15.8% peak)
- Cause: Sudden drop in wartime demand
- Effect: Severe recession with 11.7% unemployment
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1930-1933: Great Depression deflation (-10.3% in 1932)
- Cause: Bank failures and money supply contraction
- Effect: Widespread bankruptcies and 25% unemployment
-
2008-2009: Financial Crisis deflation (-2.1% in July 2009)
- Cause: Collapse of housing bubble and credit markets
- Effect: Federal Reserve implemented quantitative easing
Modern deflation risks include:
- Technological deflation in electronics and digital services
- Demographic shifts (aging populations spend less)
- Globalization keeping goods prices low
While deflation might seem beneficial, sustained price declines can lead to:
- Delayed consumer spending (waiting for lower prices)
- Increased real debt burdens
- Reduced business investment
How does the BLS determine what goes in the market basket?
The BLS uses a rigorous, multi-step process to determine the CPI market basket composition:
Step 1: Consumer Expenditure Survey (CE)
- Annual survey of 7,000 households tracking spending habits
- Captures ~211 expenditure categories
- Diary portion tracks daily purchases (food, personal care)
- Interview portion tracks larger, less frequent purchases (housing, vehicles)
Step 2: Point-of-Purchase Survey
- Identifies where consumers buy specific items
- Determines appropriate retail outlets for price collection
- Ensures geographic representation across urban areas
Step 3: Item Selection
- Chooses specific products that are:
- Purchased frequently by consumers
- Representative of the category
- Available year-round
- Of consistent quality
- Currently tracks ~80,000 items in 200+ categories
Step 4: Weighting Determination
- Weights based on expenditure shares from CE survey
- Updated every two years (most recent: December 2022)
- Current top 5 weights:
- Housing (42.1%)
- Transportation (15.3%)
- Food and beverages (13.5%)
- Medical care (9.0%)
- Recreation (5.8%)
Step 5: Continuous Review
- BLS economists monitor market trends
- Add new items as they become significant (e.g., smartphones added in 1998)
- Remove obsolete items (e.g., typewriters, VHS tapes)
- Adjust for quality changes in existing items
The entire process ensures CPI remains relevant to actual consumer spending patterns while maintaining consistency for historical comparisons.
Why does CPI sometimes feel different from my personal experience?
The difference between official CPI and personal inflation experiences stems from several factors:
1. Individual Spending Patterns
- CPI represents average urban consumer (you may be atypical)
- Example: If you spend 30% on healthcare vs national average of 9%, your inflation will feel higher
- Young professionals spend more on education, families on childcare, retirees on healthcare
2. Geographic Variations
- CPI is national average – local differences can be significant
- Example: 2023 housing inflation was 8.2% in Miami vs 3.1% in Chicago
- BLS publishes regional CPI data for major metro areas
3. Quality Adjustments
- CPI accounts for improved product quality (you may not perceive this)
- Example: A $1,000 smartphone in 2023 is considered equivalent to a $700 phone in 2020 due to better performance
- Without adjustment, tech prices would show massive deflation
4. Substitution Effects
- When prices rise, consumers switch to cheaper alternatives
- Example: Switching from beef to chicken during meat price surges
- Fixed-weight CPI doesn’t fully capture this behavior
5. New Product Introduction
- CPI has lag in incorporating new products
- Example: Streaming services weren’t in CPI until 2013
- Early adopters experience different price changes
6. Psychological Factors
- Frequent purchases (gas, groceries) have outsized perceptual impact
- Price increases are more noticeable than equivalent decreases
- Media coverage amplifies perception of certain price changes
To better match your personal inflation rate:
- Track your actual spending for 12 months
- Calculate your personal CPI using our calculator with your specific numbers
- Compare to official CPI by category to identify divergences
How can I use CPI to adjust my budget for inflation?
Applying CPI data to personal finance requires these strategic steps:
1. Calculate Your Personal Inflation Rate
- Track all expenses for 12 months (use budgeting apps)
- Categorize spending to match CPI components
- Compare year-over-year changes to identify your inflation hot spots
2. Adjust Income Expectations
- Negotiate raises using category-specific CPI data
- Example: If you spend 30% on housing (42.1% weight in CPI) and 20% on medical (9% weight), your personal inflation may be higher than average
- Target raises of CPI + 1-2% to maintain purchasing power
3. Implement Inflation-Protected Savings
- Allocate to TIPS (Treasury Inflation-Protected Securities)
- Consider I-Bonds (inflation-adjusted savings bonds)
- Invest in assets with pricing power (real estate, certain stocks)
4. Adjust Fixed Expenses
- For mortgages: Refinance if rates drop below your current rate minus 1%
- For rent: Negotiate using local CPI data (show landlord official BLS tables)
- For subscriptions: Switch to annual billing to lock in current rates
5. Create an Inflation Buffer
- Add 3-5% to emergency fund annually
- For retirees: Use the SSA COLA (based on CPI-W) as minimum adjustment
- Consider a “personal CPI” line item in your budget
6. Time Major Purchases Strategically
- Buy durables (cars, appliances) during deflationary periods
- Avoid large purchases when category CPI > 5%
- Use CPI trends to predict sale cycles (retailers discount when inflation cools)
7. Monitor Category-Specific Trends
| Category | 5-Year CPI Change | Budget Adjustment Strategy |
|---|---|---|
| Medical Care | +46.1% |
|
| Housing | +20.4% |
|
| Transportation | +24.4% |
|
| Food | +26.3% |
|
| Education | +7.8% |
|
For automated tracking, use our calculator monthly with your actual spending data to create a personalized inflation dashboard.
What are the limitations of CPI as an inflation measure?
While CPI is the most widely used inflation measure, economists recognize these significant limitations:
1. Substitution Bias
- Fixed-weight basket doesn’t account for consumers switching to cheaper alternatives
- Example: When beef prices rise, consumers buy more chicken
- Overstates inflation by ~0.3% annually according to Boskin Commission (1996)
2. Quality Change Issues
- Adjustments for improved quality are subjective
- Example: Smartphones get better each year – how much is “new product” vs “quality improvement”?
- May understate true price increases for constant-quality goods
3. New Product Problem
- Delays in incorporating new products that may replace older ones
- Example: Streaming services replaced DVDs but weren’t in CPI until 2013
- Misses consumer welfare gains from new products
4. Outlet Substitution
- Doesn’t account for consumers switching to cheaper stores
- Example: Shopping at Walmart instead of local grocers
- Overstates inflation by ~0.2% annually
5. Geographic Limitations
- National average may not reflect local conditions
- Example: San Francisco housing inflation vs rural Midwest
- Urban focus misses rural price trends
6. Homeownership Measurement
- Uses “owners’ equivalent rent” rather than house prices
- During housing bubbles, this understates true cost changes
- Example: 2006 housing CPI rose 4.2% while actual prices rose 12%
7. Upper-Income Bias
- Excludes rural populations and highest earners
- May not reflect luxury goods inflation
- Underrepresents spending patterns of top 10% earners
8. Tax Effects
- Doesn’t account for changes in tax rates affecting disposable income
- Example: Payroll tax changes impact take-home pay
- Misses bracket creep effects on real income
Alternative inflation measures address some limitations:
| Measure | Addresses Limitation | Data Source | Typical Difference from CPI |
|---|---|---|---|
| PCE (Personal Consumption Expenditures) | Substitution bias, broader scope | Commerce Department | -0.3% to -0.5% |
| Chained CPI | Substitution bias, quality changes | BLS | -0.25% to -0.5% |
| MIT Billion Prices Project | Real-time data, online prices | MIT/Private retailers | Varies by category |
| ShadowStats Alternative CPI | Pre-1980 methodology | Private analysis | +5% to +7% |
| Regional CPI | Geographic variations | BLS | Varies by metro area |
For most practical purposes, CPI remains the best available inflation measure despite its limitations. The key is understanding which specific limitations may affect your particular use case.