How Often Does BEA Update Price Parities?
The BEA's RPP release schedule, vintage labeling, revision history, and how to read the data with awareness of its publication cycle.
The short version
BEA Regional Price Parities publish once a year with about a two-year lag, but the metro-to-metro RANKING those numbers imply changes far more slowly than the numbers themselves.
- 2 yrs
- typical publication lag from reference year to release
- 2008
- earliest published year (metros back to 2009)
- 0.837
- rank correlation, every metro's 2008 rank vs its 2024 rank
For most decisions the publication lag is acceptable; for fast-moving housing markets, supplement with current rent indexes since BEA's ACS-based rents component smooths over multi-year windows.
The Annual Release Cycle
The Bureau of Economic Analysis publishes updated Regional Price Parities once per calendar year. Release dates can shift with data availability and the federal calendar; the 2024 estimates were released on February 19, 2026.
Each annual release contains the latest single year of RPP data and includes revisions to recent prior years. For example, BEA's February 19, 2026 release included 2024 reference-year RPPs plus revised values for earlier years where the underlying source data had been updated.
BEA publishes both state-level and metro-level RPP simultaneously in each release. The state series covers all 50 states plus the District of Columbia. The metro series covers all 387 metropolitan statistical areas defined by the Office of Management and Budget. Note that the OMB occasionally redefines metro boundaries, which can cause apparent series breaks for affected metros.
Why the Two-Year Lag
The lag between reference year and release is not arbitrary. It reflects the publication schedules of the underlying source data the BEA uses to construct RPP.
American Community Survey (ACS) lag
BEA derives the rents component of RPP from the Census Bureau's American Community Survey five-year estimates. The five-year ACS files become available about 18 months after the reference period ends, so a five-year estimate covering 2018-2022 is released in late 2023. BEA cannot publish a 2022 RPP until the corresponding ACS file is available.
CPI integration lag
For goods and services components, BEA uses BLS Consumer Price Index data and BEA personal-consumption-expenditures price indexes. These are themselves built from monthly price surveys that need to be aggregated to annual figures and processed through the BEA's regional-deflator methodology.
Construction and review
After source data arrives, BEA staff need to construct the RPP estimates, apply quality controls, run regional aggregations, and publish methodology updates. This work typically adds 3-6 months between final source-data availability and public release.
The cumulative effect is that RPP for reference year N becomes available in late year N+2, so 2024 reference-year data would be released in late 2026.
Reading the Vintage
Every BEA RPP release labels each data point with its reference year. When you see a metro's RPP cited as "115," that number applies to a specific year. A 2023 RPP of 115 and a 2018 RPP of 115 are not the same observation about the same place, they are different snapshots.
For most cost-of-living analysis, use the most recent vintage available. The current published vintage as of any date can be confirmed on the BEA website at the Regional Price Parities reference page. For historical research, the BEA's NIPA Tables and Regional Tables include the full back-series.
On PlainCost, every metro and state page displays the underlying vintage of the RPP data shown. We update our database within 30 days of each annual BEA release, so the data on the site reflects the latest available official vintage.
Revisions to Prior Years
The first published RPP for any reference year is provisional. BEA revises that figure in subsequent releases as updated source data becomes available, methodological refinements are applied, or geographic boundary changes are processed.
For most metros, year-to-year revisions are small, typically less than one index point. But for metros affected by specific data issues, small statistical samples, ACS sample composition shifts, OMB metro boundary changes, revisions can be larger. The BEA documents revision rationale in its release notes.
For research applications that compare RPP across years, always use the most recent published series rather than the original release for each year. The most recent series incorporates all available revisions and provides the most internally consistent time series.
What the Lag Does Not Affect
The two-year publication lag is sometimes raised as an objection to using BEA RPP for current decisions. For most use cases the objection is overstated:
Structural cost relationships are stable
For the majority of metros, the relative price level versus the national average does not change much from year to year. San Francisco was expensive in 2008 and remained expensive in 2024. Across all 387 metros, the rank correlation between each metro's 2008 RPP and its 2024 RPP is 0.837, a metro's relative position in the national cost ranking is highly persistent, even though the two-year lag means any single published figure is never quite current.
Every metro named in this guide sits near where it started 16 years earlier -- none crossed the national-average line in either direction, the real evidence behind the 0.837 rank correlation above.
Decisions on a long time horizon
Most cost-of-living decisions, relocation, career, retirement planning, operate on a multi-year time horizon. A two-year-lagged dataset that captures structural relationships well is more than sufficient for these decisions. The error introduced by the lag is small compared to other uncertainties (future earnings, family changes, market conditions).
Macro and policy analysis
For research and policy work, the priority is methodological consistency and series length. BEA's RPP delivers both. The lag matters less than the consistency of the underlying methodology across the 15-year published series.
When the Lag Is a Real Problem
For some specific use cases, the two-year lag is meaningful and warrants supplementation:
Fast-moving rental markets
Metros that have seen 20%+ rent shifts within a single year, common during the 2020-2022 demographic-redistribution period, are not well-captured by lagged BEA data. For these markets, supplement with current rent indexes from sources like Zillow Observed Rent Index, Apartment List rent reports, or the BLS New Tenant Rent Index (a relatively new BLS series specifically designed for current-market signal).
Active relocation decisions in volatile metros
If you are deciding between two metros and one of them has experienced rapid recent change, do not rely solely on lagged BEA data. Cross-check with current rent reports for the specific neighborhoods you would consider, and look at Zillow or Realtor.com for current home prices if buying.
Academic research on recent shocks
Researchers studying the cost-of-living effects of recent events, pandemic redistribution, climate-driven migration, work-from-home effects, face a real lag problem. BEA's data is the gold standard but cannot speak to events that occurred within the last two years until the data catches up.
The Release-Day Workflow
BEA's annual RPP release is announced via the agency's news page and email subscription list. Subscribe at the BEA News page. The release includes:
- The new reference-year RPP file (state and metro tables).
- Updated historical files reflecting any revisions.
- A release announcement summarizing notable methodological changes or data developments.
- Updated tables on the BEA's interactive data tool (Bureau of Economic Analysis Interactive Data Tables).
For data users, the key file is the metro RPP table, typically published as a CSV or Excel download. PlainCost ingests this file within 30 days of release, applies our internal quality checks, and updates the metro and state pages on this site.
How to Find the Current Vintage
At any time, the simplest way to determine the current published vintage is to check the BEA website. The Regional Price Parities reference page lists the most recent reference year covered. Alternatively, the BEA's "Latest Releases" sidebar on its homepage announces newly-published series.
On PlainCost, each metro and state page displays the underlying RPP vintage in the page footer. The vintage label updates automatically within 30 days of each new BEA release. The methodology page summarizes our update workflow.
Looking Ahead: 2025 Data Release
BEA released reference-year-2024 RPP data on February 19, 2026. The next scheduled release is December 10, 2026, when BEA expects to publish 2025 RPP data and revised earlier estimates. PlainCost will update the site to reflect the new vintage within 30 days of release. Until then, the most current available data is the 2024 vintage.
Methodology changes between releases are usually modest. BEA documents any significant changes in the release notes; substantial methodological shifts have been rare in the program's history. Users who depend on series consistency should review the release notes when each new vintage drops.
Frequently asked questions
How often does BEA update RPP data?
BEA publishes Regional Price Parities annually, with release dates that can vary. Each release covers a reference year and includes revisions to recent prior years. As of mid-2026, the most recent published vintage covers 2024.
Why is there a two-year lag in BEA data?
The lag exists because BEA constructs RPP from underlying source data, Census American Community Survey rents, BLS Consumer Price Index price levels, that themselves have publication lags. The ACS five-year estimates take about 18 months to release after the reference period ends, and BEA needs time to integrate the components and apply geographic adjustments.
How far back does the RPP data series go?
BEA publishes annual state-level RPP estimates back to 2008 and metro-level estimates back to 2009. This gives researchers more than 15 years of consistent geographic price-level data, which is enough to study structural shifts in regional cost-of-living patterns over time.
Does BEA revise prior years' RPP data?
Yes. Each annual release includes revisions to the previous several years as updated source data becomes available. The most recent year is provisional and gets revised in subsequent releases. For research applications requiring the most accurate historical figures, use the most recent published vintage rather than the original release for that year.
How should I handle the publication lag for current decisions?
For most metros, structural cost relationships change slowly enough that two-year-old data still describes the relevant picture. For fast-moving markets, pandemic boomtowns, hollowing urban cores, climate-affected coastal areas, supplement BEA RPP with current rent indexes from sources like Zillow ZORI or Apartment List for housing-specific intelligence.
What this means when you read a number here
How to keep the publication lag from tripping you up.
- When comparing two figures, confirm that both pages use the same data vintage; mixing reference years makes the apparent gap unreliable.
- Use each metro's history table to separate a persistent relative position from a one-year move before you extrapolate a trend.
- If a decision is time-sensitive (a job offer, a lease), pair the RPP baseline with more current local listings for rent and grocery prices.
The lag is a property of BEA's own release schedule, not a limitation PlainCost is adding, we refresh our database within 30 days of each upstream release.
Sources: U.S. Bureau of Economic Analysis, Regional Price Parities; U.S. Census Bureau, American Community Survey.
Every figure on PlainCost is rendered directly from BEA Regional Price Parity source data, no number is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these numbers, our changelog, or report a data error. Rankings measure the published cost-of-living index only; we don't recommend where to live or rate any metro's quality of life.