Understanding Mexico's economic landscape via data transformations

Key Takeaways

• The recent update from the SHF House Price Index reveals significant insights into the state of the housing market, particularly with the new observation of 8.71% YoY inflation as of 2026-01-01.
• The DFM nowcast provides valuable context, estimating house price inflation at 8.65% YoY as of 2026-05-01.

The recent update from the SHF House Price Index reveals significant insights into the state of the housing market, particularly with the new observation of 8.71% YoY inflation as of 2026-01-01. This level of house price inflation exceeds historical averages, positioning itself in the 75th percentile since 2006. In comparison, headline CPI inflation stands at 3.94% while housing CPI inflation is at 3.61%, suggesting that house prices are rising notably faster than general inflation metrics. This divergence reflects the ongoing demand pressures in the housing sector, despite a slight decline of 0.21 percentage points from the previous quarter.

The DFM nowcast provides valuable context, estimating house price inflation at 8.65% YoY as of 2026-05-01. This nowcast aligns closely with the latest observed value, indicating that auxiliary indicators such as mortgage lending and housing CPI are confirming the current trajectory rather than suggesting any significant upward or downward pressure. The model's consistency with observed data suggests that the dynamics within the housing market remain robust and supportive of sustained inflationary trends.

The SHF House Price Index is published quarterly by Sociedad Hipotecaria Federal, Mexico's federal mortgage development bank, typically around 40 days after the reference quarter ends. It is constructed from mortgage appraisal data (avalúos) using a Case-Shiller repeat-sales methodology, with breakdowns by state, new vs. used housing, and market segment (affordable vs. mid-to-high-end). Because the index reflects prices at the point of mortgage origination, it captures credit-driven demand rather than asking prices, making it a tighter gauge of actual transaction values and collateral quality across the housing market.

A Dynamic Factor Model (DFM) filters the quarterly SHF House Price Index using five Banxico auxiliary series — the funding rate, mortgage lending volumes, a housing purchase survey indicator, the SPF unemployment forecast, and construction activity — plus two CPI components (headline and housing subcategory). The model extracts a common factor from these seven indicators, producing a smoothed nowcast that updates between quarterly SHF releases whenever auxiliary data arrive. This filtered estimate helps distinguish persistent trends from quarterly noise in the observed house price series.

Out-of-sample backtest over 12 evaluation windows using the Dynamic Factor Model (DFM). Out-of-sample backtest over 12 evaluation windows using the Dynamic Factor Model (DFM). RMSE measures the typical forecast error in the same units as the series; 'naive' is a no-change benchmark. House Price Nowcast (RMSE 1.32 vs 0.66 naive, n=12).

Key Takeaways

• Brent oil prices just jumped to $106.30 as of May 2026, reflecting a staggering YoY increase of 65.8%.
• Copper prices are hitting $13,483.75, up 41.5% YoY as of May 2026.
• Corn prices are at $215.62, reflecting a modest YoY increase of 5.3%.

Brent oil prices just jumped to $106.30 as of May 2026, reflecting a staggering YoY increase of 65.8%. Brent oil prices through May 2026 show a notable rise, landing at $106.30. This marks a significant YoY change of +65.8%, and the momentum is clearly up, with prices climbing in recent days. For Mexico, where oil is a major export and accounts for about 15% of federal revenue, these figures are crucial — they could bolster government finances and Pemex operations.

Copper prices are hitting $13,483.75, up 41.5% YoY as of May 2026. With copper data updated to May 2026, the current price stands at $13,483.75, showcasing a robust YoY increase of 41.5%. The trend remains upward, indicating strong demand in the global market. Given that Sonora dominates copper production in Mexico, this surge could enhance regional economic activity, despite the sector's small employment footprint.

Corn prices are at $215.62, reflecting a modest YoY increase of 5.3%. As of May 2026, corn prices reached $215.62, showing a slight YoY rise of 5.3%. The trend appears stable, neither soaring nor plummeting significantly. This is particularly relevant for Mexico, where corn is a staple for many, and price stability is key for the 1.5 million smallholder farmers dependent on this crop.

Commodity prices feed directly into Mexico's inflation pulse and terms of trade. Oil and corn affect energy and food costs, while copper is a proxy for global industrial demand. For policymakers, sharp commodity swings can shift inflation expectations and fiscal balances, making these prices critical to monitor.

Key Takeaways

• The June 2026 IMSS release shows unit labor costs at 3.34%, signaling that wages are outpacing productivity in the manufacturing sector.
• Real wages in the formal sector are on a positive trajectory, with manufacturing real wages at 3.12%, showing that purchasing power is indeed growing for workers.
• Across sectors, a significant divergence is evident, particularly in unit labor costs, where manufacturing is seeing a rise while retail grapples with a decline at -1.01%.

The June 2026 IMSS release shows unit labor costs at 3.34%, signaling that wages are outpacing productivity in the manufacturing sector. Following June's formal sector wage data, ULC in manufacturing has shifted upward, indicating that wages are growing faster than productivity. This trend raises concerns about potential cost-push inflation, as companies may struggle to maintain competitiveness amidst increasing labor costs. The current trajectory suggests a tightening squeeze on margins, with implications for pricing strategies across the sector.

Real wages in the formal sector are on a positive trajectory, with manufacturing real wages at 3.12%, showing that purchasing power is indeed growing for workers. Purchasing power among formal workers remains robust, particularly in manufacturing where real wage growth continues to support household finances. Although there has been a year-over-year decline of 3.83%, the current level indicates a strong position relative to historical data. This positive trend is crucial as it can stimulate demand and bolster overall economic activity moving forward.

Across sectors, a significant divergence is evident, particularly in unit labor costs, where manufacturing is seeing a rise while retail grapples with a decline at -1.01%. Manufacturing and retail diverge sharply, with manufacturing benefiting from stronger wage growth while retail struggles with negative labor cost dynamics. This gap underscores the need for strategic shifts in retail operations to remain competitive. The contrasting performances in these sectors could influence broader economic trends, impacting consumer behavior and investment strategies.

Unit labor costs (ULC) measure the average cost of labor per unit of output — when wages grow faster than productivity, ULC rises, potentially squeezing profit margins and fueling inflation. In Mexico, where the formal sector employs roughly half the workforce, IMSS-registered wage data captures trends in the formal economy but misses the informal sector's dynamics. Real wages — nominal wages adjusted for inflation — determine household purchasing power and underpin consumer demand. For policymakers, these indicators help balance inflation control, competitiveness, and the economic welfare of Mexican workers.

Twelve-month-ahead forecasts for unit labor costs and real wages in manufacturing and retail are produced using a Seasonal Autoregressive Integrated Moving Average with eXogenous inputs (SARIMAX) model. The model is estimated on seasonally adjusted month-over-month percentage changes, with all four series — ULC manufacturing, ULC retail, real wage manufacturing, and real wage retail — entering as joint endogenous variables. No external auxiliary data feed the forecast; the model relies solely on the internal dynamics and cross-series interactions of the wage and productivity data. Forecast confidence intervals widen over the projection horizon.

Out-of-sample backtest over 24 evaluation windows using the SARIMAX. Out-of-sample backtest over 24 evaluation windows using the SARIMAX. RMSE measures the typical forecast error in the same units as the series; 'naive' is a no-change benchmark. ULC Manufacturing (RMSE 2.97 vs 3.21 naive, +7% improvement, n=24); ULC Retail (RMSE 5.33 vs 5.22 naive, n=23); Real Wage Manufacturing (RMSE 2.20 vs 2.62 naive, +16% improvement, n=24); Real Wage Retail (RMSE 3.05 vs 2.97 naive, n=23).

Key Takeaways

• The latest ENOE survey for January 2026 reveals a notable resilience in the Mexican labor market as the unemployment rate remains at 2.51%, reflecting a low percentile historically.
• By gender, the unemployment landscape presents a nuanced picture, with male unemployment at 3.35%, significantly higher than female unemployment at 3.51%.
• The share of informal workers remains elevated, signaling persistent structural issues in the labor market.

The latest ENOE survey for January 2026 reveals a notable resilience in the Mexican labor market as the unemployment rate remains at 2.51%, reflecting a low percentile historically. The January 2026 ENOE survey shows unemployment at 2.51%, which is around the 1st percentile of its historical range. This figure represents a decline of -0.0158% compared to December 2025, continuing a downward trend observed over the past year, where it has decreased by -0.22%. Such persistently low unemployment rates might suggest a tightening labor market, which could have implications for wage pressures and consumer spending.

By gender, the unemployment landscape presents a nuanced picture, with male unemployment at 3.35%, significantly higher than female unemployment at 3.51%. Male and female unemployment rates show a divergence, with males registering at 3.35%—around the 86th percentile—while females are at 3.51%, around the 14th percentile. This disparity highlights the ongoing challenges faced by male workers in securing employment relative to their female counterparts, suggesting potential sectoral or demographic influences at play.

The share of informal workers remains elevated, signaling persistent structural issues in the labor market. Informal employment in January 2026 stands at 55.7%, which is around the 96th percentile of its historical range. This marks an increase of 0.132% from the previous month, indicating a rising trend in informality. The prevalence of informal employment often points to underlying economic vulnerabilities and may complicate efforts to achieve sustainable growth and improve job quality.

Labor slack and its composition shape inflation pressure, policy timing, and social risk. Unemployment, underemployment, and unemployment by gender reveal how broad and uneven slack is. In Mexico's large informal sector, the informal employment share can swing sharply — often contracting faster in downturns as unprotected jobs are cut first, then rebounding early — masking true slack if headline unemployment alone is tracked. Tracking these dimensions helps distinguish cyclical slack from structural mismatches and calibrate monetary policy accordingly.

Between quarterly ENOE survey releases, a Dynamic Factor Model (DFM) nowcasts employment indicators using higher-frequency auxiliary data. The model ingests monthly series — industrial production, consumer confidence, capacity utilization, retail sales, and private consumption — alongside quarterly GDP components to extract common factors that track the business cycle. When any auxiliary series receives new data, the Kalman filter updates the nowcast, providing an early signal before the next official employment release.

Out-of-sample backtest over 20 evaluation windows using the Dynamic Factor Model (DFM). Out-of-sample backtest over 20 evaluation windows using the Dynamic Factor Model (DFM). RMSE measures the typical forecast error in the same units as the series; 'naive' is a no-change benchmark. Unemployment (RMSE 22.27 vs 0.13 naive, n=17); Underemployment (RMSE 1.26 vs 0.50 naive, n=11); Male Unemployment (RMSE 0.44 vs 0.26 naive, n=11); Female Unemployment (RMSE 0.44 vs 0.28 naive, n=11).

Key Takeaways

• INEGI's Q2 2026 productivity release shows secondary sector output at 102, reflecting a solid 2.13% increase from the previous month.
• Manufacturing composites show a mixed bag of trends, highlighting sustainability concerns.
• Within manufacturing, construction shines while the chemical industry struggles.

INEGI's Q2 2026 productivity release shows secondary sector output at 102, reflecting a solid 2.13% increase from the previous month. The latest INEGI productivity data for Q2 2026, released on June 12, reveals that secondary sector output is holding strong, driven by notable gains in construction and manufacturing. This growth is broad-based, with the construction sector leading the charge, signaling resilience against inflationary pressures. Meanwhile, mining lags behind, indicating potential instability in that subsector.

Manufacturing composites show a mixed bag of trends, highlighting sustainability concerns. Across the PCA indices, productivity dipped slightly while sales and inventory dynamics suggest a tightening labor market. The divergence in labor demand—currently at a low of -1.49—raises red flags about future growth potential, especially as rising inventory levels could indicate overproduction risks.

Within manufacturing, construction shines while the chemical industry struggles. The top-performing subsectors include construction, which is at the 99th percentile, showing a whopping 7.76% increase, while the chemical industry underperforms in the 21st percentile, down 7.74%. The robust construction output significantly bolsters the overall manufacturing index, but the decline in chemicals underscores the volatility and challenges facing specific industries.

Productivity trends reveal the economy's capacity to grow without stoking inflation. In Mexico, productivity in the secondary sector — mining, energy, construction, and especially manufacturing — signals how efficiently output expands relative to inputs. Strong productivity gains mean firms can meet demand without raising prices, easing inflation pressure and supporting sustainable wage growth. Weak productivity, by contrast, constrains supply, making cost shocks more inflationary. Manufacturing deserves closer scrutiny, as its diverse subsectors respond differently to global demand, exchange rate shifts, and investment cycles. Tracking these patterns helps judge whether growth is supported by efficiency gains or reliant on credit and labor cost increases.

Four composite indices — productivity, sales, inventory, and labor demand — are constructed using Principal Component Analysis (PCA) applied to INEGI manufacturing subsector data and GDP sector composition. PCA extracts the dominant co-movement pattern across subsectors, producing standardized indices that summarize broad trends while filtering out subsector-specific noise. The productivity index draws on output-per-worker measures across manufacturing branches; the sales, inventory, and labor demand indices use INEGI's corresponding survey-based indicators supplemented by GDP sector weights.

Key Takeaways

• Overall uncertainty at a multi-month low.
• Sovereign-debt and currency concern is doing most of the cooling.
• What to watch.

Overall uncertainty at a multi-month low. Mexico's news-based Economic Policy Uncertainty index fell to 19.3 in June 2026, its lowest reading in months and the fourth straight monthly decline from 21.9 in March (20.0 in April, 19.8 in May). The index measures the share of Mexican news coverage discussing economic-policy uncertainty, so the drift lower signals a calmer policy-news environment through the second quarter.

Sovereign-debt and currency concern is doing most of the cooling. The sovereign-debt/currency sub-index fell to 16.1 from 21.9 in March — the single largest contributor to the overall decline. Fiscal-policy uncertainty also eased to 7.1 (from 8.4 in March), and trade-policy uncertainty stayed subdued at 7.6. Monetary-policy uncertainty was the one sub-index to tick up in June, to 14.5 after bottoming at 13.2 in May, consistent with renewed attention on the rate path.

What to watch. These are complete-month figures; the current partial month is excluded until it closes. A sustained rebound in the monetary or trade sub-indices would be the first sign the Q2 downtrend is turning.

Key Takeaways

• The June 2026 SPF survey reveals a modest decline in economic concerns.
• The latest survey highlights significant constraints on growth, particularly in public security and trade policy.
• Recession concerns remain moderate, reflecting a cautious outlook among economists.
• Expectations regarding the peso's valuation indicate a prevailing sense of overvaluation among forecasters.

The June 2026 SPF survey reveals a modest decline in economic concerns. The June 2026 SPF survey shows the aggregate Concern Index at 2.83, placing it around the 63rd percentile. This marks a decrease of -0.13 from the previous month, suggesting a slight easing in overall economic anxieties. Nonetheless, the index has experienced a downward trend over the past two months, indicating persistent underlying concerns among economic observers.

The latest survey highlights significant constraints on growth, particularly in public security and trade policy. Economists have identified public insecurity as the top constraint, currently accounting for 9.2% of concerns, followed closely by US trade policy at 8.2%. Notably, public insecurity has decreased by -0.46 from the previous month, while US trade policy has seen a substantial increase of +1.80, underscoring its growing impact on economic sentiment.

Recession concerns remain moderate, reflecting a cautious outlook among economists. The perceived probability of recession stands at 10.0%, which is moderate compared to historical norms. This indicates a stable sentiment among surveyed economists when juxtaposed with the previous quarter, suggesting that while fears exist, they are not at alarming levels. The outlook for the next quarter is slightly more pronounced at 15.0%, indicating a potential uptick in recession fears.

Expectations regarding the peso's valuation indicate a prevailing sense of overvaluation among forecasters. According to forecasters, the current FX forecast misalignment reflects a perceived overvaluation of the peso, with a deviation of +0.058. This sentiment is consistent across multiple horizons, as forecasters anticipate a similar pattern in the following months, suggesting a sustained outlook of a weaker peso than expected.

Banxico's Survey of Professional Forecasters (Encuesta sobre las Expectativas de los Especialistas en Economía del Sector Privado) polls roughly 40 groups of analysts from banks, financial institutions, consultancies, and research centers. Responses are collected during the second half of each reference month — typically between the 15th and 28th — and results are published on the first business day of the following month. Because respondents form their expectations before some end-of-month official data releases, the survey provides an early window into shifting professional sentiment on inflation, growth constraints, recession risk, and exchange rates, making it a valuable leading indicator for policymakers and market participants.

Key Takeaways

• Bond prices as of 2026-07-10 show the 10Y-3Y spread at 1.22%, indicating a slight softening in nominal spreads and highlighting ongoing economic uncertainty.
• The curve shape suggests a potential hold from Banxico, aligning with current market expectations.

Bond prices as of 2026-07-10 show the 10Y-3Y spread at 1.22%, indicating a slight softening in nominal spreads and highlighting ongoing economic uncertainty. The latest yield curve data reveals the nominal 10Y-3Y spread at 1.22%, down 0.17% from the previous observation, while the real spread sits at 0.53%, reflecting a 0.09% increase. Despite the nominal spread's decline, the real spread's uptick signals that market participants are still wrestling with inflation expectations. The breakeven inflation spread, currently at 0.70%, suggests that investors expect inflation to remain a concern, but not at alarming levels, hinting at a cautious optimism in the economic outlook.

The curve shape suggests a potential hold from Banxico, aligning with current market expectations. Markets appear to be pricing in a likely hold from Banxico at their next meeting, which reflects a 75% probability of no change in the policy rate. This positioning aligns closely with the yield curve's current state, indicating that while there are inflationary pressures, the committee's cautious approach is consistent with maintaining stability amidst mixed economic signals.

When investors and businesses trust that monetary policy will remain credible and predictable, long-term interest rates respond more smoothly to central bank signals. Yield curve spreads between long and short maturities serve as a real-time gauge of this alignment: a stable, upward-sloping curve suggests markets expect gradual normalization, while persistent inversions often signal that markets anticipate policy shifts before they are announced. For Mexico, where inflation targeting depends on anchoring expectations across a diverse investor base, the 10-year minus 3-year spread offers a compact summary of whether policy communication is landing as intended.

Yield curve spreads are filtered using a Nelson-Siegel Dynamic Factor Model (NS-DFM) estimated on weekly data. The model ingests 16 synthetic yield curve points — 11 nominal maturities (overnight through 30 years) and 5 real maturities (overnight through 30 years) — fitted via Nelder-Mead optimization on Banxico bond prices. Factor loadings follow the Diebold-Li (2006) Nelson-Siegel parameterization, decomposing each yield curve into level, slope, and curvature components for both real rates and implied inflation. The Kalman smoother extracts filtered spread estimates that track the underlying signal in daily bond market noise.

Key Takeaways

• Banxico's July 2026 credit release shows money market spreads tightening, but that’s not the whole story.
• Household mortgage rates are creeping up, putting pressure on affordability.
• Debt issuance patterns show a clear preference for fixed-rate financing, signaling a shift in corporate strategies.

Banxico's July 2026 credit release shows money market spreads tightening, but that’s not the whole story. Following the latest lending data, rate premia have narrowed, with TIIE spreads now sitting at 0.25% for the 28-day rate and 0.29% for the 91-day. This represents a continued tightening trend, as the spread has decreased by 0.0671% month-over-month. While narrowing spreads suggest easing pressures, they also highlight a cautious market, reflecting uncertainty around inflation and economic stability.

Household mortgage rates are creeping up, putting pressure on affordability. The total annual cost of mortgages (CAT) averages 14%, with a range from 10.7% to 28.2%. As rates inch up, the pass-through from the policy rate is becoming a key concern for potential homeowners, raising questions about who can still afford to buy in this environment.

Debt issuance patterns show a clear preference for fixed-rate financing, signaling a shift in corporate strategies. The latest data reveals that 19.47% of corporate debt is now fixed rate, compared to 19.71% variable rates. This shift indicates firms are opting for stability amid rising interest rate uncertainties, reflecting a strategic move to hedge against potential future rate hikes.

Rate premia show how market and bank funding costs move relative to the policy rate, indicating the efficiency of monetary transmission. Household mortgage rates capture the cost of long-term borrowing — their sharp rise in recent years signals affordability pressures and distributional effects, as many families face double-digit costs. Debt issuance patterns, normalized by GDP, reveal how firms finance themselves; the balance between fixed and variable rates matters for vulnerability to policy shifts. Together, these indicators show how policy rates filter into real borrowing conditions, affecting credit demand, investment, and ultimately growth and inflation dynamics.