Haver’s data services are provided through the DLX platform; delivering tools for data management, visualization, modeling and publishing. DLX is designed to increase productivity and integrates with Excel, PowerPoint, and major statistical software packages; MatLab, R, Python, SAS, E-views and Stata. DLX component application DLXVG3 offers precision graphics, publishing, analytic tools, and easy navigation for all Haver databases.

icon-chart.png

Chart and compare multiple data series with accompanying data table of values

Advanced functions (growth rates, moving averages, aggregation, seasonal adjustment)

Analytical tools (cycle charts, scatterplots, trend lines, and recession shading)

Complete graph customization (axis scaling, sizing, formatting, styles)

Excel and PowerPoint direct export and complete integration (dynamic spreadsheets and presentations update on a click)

DLXVG3

icon-db.png

DLX Add-ins for all versions of Excel provide instant data updates of entire workbooks

Use DLXVG3 to locate data series codes from within any file, easily creating new spreadsheets for analysis

Edit date ranges, archive data, apply functions

Excel Spreadsheet Add-ins

icon-time.png

Haver offers timely, accurate, and professionally supported data via an update service, meeting the strictest demands of the institutional research community

AutoUpdate provides fast and reliable data updates within seconds of source releases

Timer service runs continuously on an hourly basis when DLX is running

Manual updates offer clients the independence to update data retrievals on any desired schedule

All database updates retrieve only the data series that have changed and send only the data points that have been updated; including revisions

Timely Updates

DLX software tools to convert data into many different formats needed for diverse analytical frameworks

Haver supports a DLX API permitting clients to leverage and build processes with DLX data

Database Compatibility

products-dlx.svg

Data Link Express

Platform Independent site delivering DLX Databases across any workstation or device.

products-haverview.svg

HaverView

[Matlab](http://matlab.com) by The MathWorks lets you access, visualize, and analyze historic time-series data to identify patterns or uncover complex relationships. From within a single environment you can:

- Access data from multiple sources including files, spreadsheets, databases, data providers, and the Web
- Store data in financial time-series objects to simplify data management, data transformation, missing-data handling, and date-math calculations
- Perform technical analysis with moving averages, oscillators, stochastics, and indices
- Create custom analysis routines and visualizations or animations to capture, present, and share your analysis processes and discoveries
- Customize your analysis environment with advanced functionality from signal processing, statistics, or econometrics

products-matlab.svg

MATLAB

[Stata Data Analysis and Statistical Software](https://www.stata.com) by StataCorp LP is an integrated statistical package designed for researchers of all disciplines. It provides the ability to do data analysis, data management and graphics and has features such as multiple imputation, factor variables, GMM, competing-risks regression, state-space modeling, predictive margins, and more.

products-stata.svg

Stata

[SAS](https://www.sas.com) provides an integrated environment for predictive and descriptive modeling, data mining, text analytics, forecasting, optimization, simulation, experimental design and more. From predictive analytics to model deployment and process optimization, SAS provides a range of techniques and processes for the collection, classification, analysis and interpretation of data to reveal patterns, anomalies, key variables and relationships, leading ultimately to new insights and better answers faster.

[SASEHAVR](http://support.sas.com/documentation/cdl/en/etsug/67525/HTML/default/viewer.htm#etsug_sasehavr_gettingstarted01.htm) is a seamless interface between Haver and SAS data processing that enables SAS users to read economic and financial time series data that reside in a Haver Analytics DLX (Data Link Express) database. [SASEHAVR](http://support.sas.com/documentation/cdl/en/etsug/67525/HTML/default/viewer.htm#etsug_sasehavr_gettingstarted01.htm) requires both SAS/ETS and Base SAS Software.

products-sas.svg

[RATS (Regression Analysis of Time Series) Econometric Software](https://estima.com) by Estima is a leading econometrics and time-series analysis software package. It provides ability to do linear and non-linear least squares, forecasting, SUR and ARIMA models and in addition, supports advanced techniques such as GMM, ARCH and GARCH models, state space models, and more.

products-rats.svg

RATS

Session 1: Bootcamp Part 1

Visualization with GGPlot2 and data analysis

Session 2: Bootcamp Part 2

Session 3: Univariate Models Part 1

Session 4: Univariate Models Part 2

Session 5: Vector Autoregressions

Session 6: Cointegration and error-correction models

A popular open source option for statistical computing and graphics that is available on many UNIX platforms, Windows and MacOS

Estimating, evaluating, and forecasting ARIMA models

Understanding the concept of non-stationarity and testing for unit roots

Estimating autoregressions, granger causality tests, and impulse response functions

Understanding the concept of cointegration and testing using the Enger-Granger test

Estimating and forecasting with vector error correction models

products-r.svg

Teaches econometrics and forecasting at the University of Colorado Denver. He has over 15 years of econometric experience in both the private and public sector.

Daniel L. Jerrett, Ph.D.

Abdel M. Zellou, Ph.D.

Bootcamp and Econometric Tools 1 & 2

Econometrics Training: Applied Time Series in R

Session 5: Multivariate Models Part 1

Session 6: Multivariate Models Part 2

Haver partners with SmartMacro Labs to offer a two week immersive online course introducing participants to the power of the Python programming language. This applied hands-on training develops statistical economics skills with a concentration on economics and finance.

Gain proficiency in building modern time-series models in Python through real-world applications. Designed for professionals in both the public and private sector, the course does not require prior experience, assuming only that participants have a basic understanding of regression and statistical concepts.

Proficiency working in Jupyter notebooks and the Python environment

products-python.svg

Remote Training: Applied Time Series in Python

Inflationary impact of surge in oil prices larger in Europe than in the US

Andrew Cates

**Energy shock lifts inflation, trims growth**
The IMF’s latest WEO revisions for 2026 broadly reflect the classic stagflationary impact of the recent Middle East energy shock, with growth downgraded and inflation revised higher across most major economies. Higher energy prices act as a tax on real incomes while simultaneously pushing up costs. That said, the picture is not uniform: a number of economies—notably the US, China and India—have seen growth upgrades, reflecting stronger-than-expected momentum so far in 2026. By contrast, the UK stands out at the stagflationary extreme, combining one of the largest growth downgrades with a relatively strong inflation uplift—consistent with its weaker underlying momentum, greater energy sensitivity and more persistent domestic inflation dynamics. More broadly, while the global revisions remain modest—pointing to resilience in activity—the message is that disinflation is no longer a smooth glide back to target but increasingly contingent on energy prices and geopolitical developments.

260423Z1.jpg

**Markets largely shrug off rising economic pessimism**
Notwithstanding a more downbeat assessment from economists—including the IMF’s stagflationary tilt to the outlook—there has been remarkably little follow-through into financial markets. Measures of systemic stress in both the US and UK remain low by historical standards, suggesting that investors are, for now, largely looking through the Middle East conflict. There are several possible explanations: corporate profits remain resilient, the AI-driven investment narrative continues to dominate market thinking, and markets may be assuming that any energy shock will be temporary and contained. In effect, investors appear to be pricing a benign baseline in which geopolitical risks do not materially disrupt growth, inflation expectations or policy. The UK is a partial exception, with a somewhat more visible uptick in stress, which aligns more closely with the IMF’s more challenging growth-inflation trade-off and the economy’s greater sensitivity to energy prices.

260423Z2.jpg

**Volatility falls despite deteriorating growth surprises**
Market optimism is also increasingly at odds with the incoming data flow. Typically, equity volatility declines when growth surprises are positive and inflation surprises are benign. However, the recent pattern has broken that relationship. Growth surprises across the G10 have turned increasingly negative (our series is inverted in the chart below), yet volatility has continued to fall. In other words, markets are becoming less sensitive to weakening macro data, continuing to price a benign outlook even as the data deteriorate. This divergence reinforces the broader theme: investors are, for now, looking through both geopolitical risks and softer economic momentum, placing greater weight on resilience in earnings, the AI-driven narrative and the assumption that policy will remain supportive.

260423Z3.jpg

**Inflation Nowcasts Have Jumped**
Incoming data suggest that headline inflation has moved higher in recent weeks, broadly in line with expectations given the rise in energy prices following the Middle East shock. Nowcasts for CPI across the major economies show a clear rebound in March and April from the lows seen at the start of 2026, with the move occurring in a relatively synchronised fashion. This reinforces the view that the recent pickup in inflation is being driven primarily by a common external factor—energy.

260423Z4.jpg

**Energy shock not yet feeding into underlying inflation**
However, the detailed breakdown of March inflation outcomes suggests that this remains, for now, a largely headline-driven phenomenon. While headline CPI prints were firm across most economies, core inflation—stripping out energy and food—was more subdued and in some cases weaker. This indicates that there has been very limited pass-through from higher energy prices into broader goods and services inflation at this early stage. In other words, the shock is still being absorbed rather than propagated. That distinction is critical for policy and markets alike: as long as second-round effects remain contained, central banks may be able to look through the near-term rise in inflation, even as headline rates move higher.

260423Z5.jpg

**Inflation Expectations Rising as Growth Sentiment Falters**
It remains early days, and much will hinge on how inflation expectations evolve from here. The latest ZEW survey for Germany already conveys the hallmarks of a classic stagflationary shock, with macroeconomic expectations weakening even as inflation expectations have ratcheted sharply higher. This shift is important: while the recent rise in headline inflation has so far shown limited pass-through into core, a sustained increase in expectations would raise the risk of second-round effects and make the inflation process more persistent. In that sense, the ZEW data highlight the key fault line in the current environment—whether the energy-driven shock remains contained, or begins to embed itself more broadly through expectations and pricing behaviour.

260423Z6.jpg

Financial markets have remained notably calm in recent weeks despite rising geopolitical tensions in the Middle East, a more downbeat macroeconomic narrative and elevated uncertainty. Measures of financial stress and volatility remain low, and equity markets continue to look through both the conflict and softer data. That resilience sits alongside a more nuanced macro backdrop. The IMF’s latest WEO revisions point to a classic stagflationary energy shock—growth downgraded and inflation revised higher—although the global impact remains modest and uneven, with some economies still benefiting from stronger momentum (chart 1). At the same time, market pricing appears increasingly detached from the data flow, with volatility declining even as growth surprises have turned more negative relative to inflation (charts 2 and 3). Incoming inflation data reinforce the idea of a largely headline-driven shock, with nowcasts rising in line with higher energy prices but only limited pass-through into core inflation so far (charts 4 and 5). However, it remains early days. Survey evidence, such as the latest ZEW release, suggests that inflation expectations may already be responding in a more concerning way, with a marked rise alongside weakening growth sentiment (chart 6). Taken together, the key question for markets is whether this remains a contained, energy-driven shock that can be looked through—or whether it begins to embed more persistently via expectations, forcing a reassessment of the currently benign outlook.

<iframe data-testid="embed-iframe" style="border-radius:12px" src="https://open.spotify.com/embed/episode/44A12ktUaoJGHZG7pEVcul?utm_source=generator" width="100%" height="152" frameBorder="0" allowfullscreen="" allow="autoplay; clipboard-write; encrypted-media; fullscreen; picture-in-picture" loading="lazy"></iframe>

Charts of the Week: Risks Build, Markets Shrug

Sandy Batten

260423F8.jpg

260423G8.jpg

The National Activity Index published by the Federal Reserve Bank of Chicago (CFNAI) slipped to -0.20 in March from an upwardly revised +0.03 in February (previously (-0.11). This is the lowest monthly reading since last November. Smoothing out the monthly volatility, the index's three-month moving average (CFNAI-MA3) declined to -0.03 in March from an upwardly revised +0.03 in February (previously -0.01).

This index is expressed in standard deviation units from zero (with a value of zero defined as trend real GDP growth). Research at the FRB Chicago indicates that readings on the 3-month average of -0.70 or below are consistent with the economy being in a recession. Therefore, even though the March reading on the 3-month average was negative, it indicates that the US economy is still growing, just slightly slower than trend, and is well away from recessionary conditions. The 3-month average would be much deeper in negative territory if the economy was at risk of contracting.

The National Activity Index is a composite of 85 economic indicators, grouped into four major categories: production and income; employment, unemployment, and hours worked; personal consumption and housing; sales, orders, and inventories. Three of the four broad categories of indicators used to construct the index decreased from February, and three categories made negative contributions in March. Production-related indicators contributed –0.20 to the CFNAI in March, down from +0.13 in February. The sales, orders, and inventories category's contribution to the CFNAI was –0.01 in March, down from +0.05 in February. Employment-related indicators contributed +0.02 to the CFNAI in March, up from –0.15 in February. The personal consumption and housing category's contribution to the CFNAI was –0.01 in March, down from a neutral value in February.

The CFNAI Diffusion Index, which measures the breadth of the change in the component series and is also a three-month moving average, increased to –0.04 in March from –0.08 in February. This is the highest reading since February 2025. A reading of zero indicates that all of the indicators are growing at their long-term average. If all of the underlying indicators in a given month are below their long-run averages, the diffusion index will equal -1. If all of the indicators are above their long-run averages, it will equal +1. Thirty-four of the 85 individual indicators made positive contributions to the CFNAI in March, while 51 made negative contributions. Forty-three indicators improved from February to March, while 40 indicators deteriorated and two were unchanged. Of the indicators that improved, 16 made negative contributions.

These figures are available in Haver's **SURVEYS** database.

- The monthly reading fell to -0.20 in March from an upwardly revised +0.03 in February.
- The three-month average slipped from +0.03 to -0.03.
- Despite the slip in March, the index points to near-trend economic growth and is well above recession territory.

Chicago Fed National Activity Index Slipped in March

Kathleen Stephansen, CBE

260423A1.jpg

260423B1.jpg

Initial claims for unemployment insurance rose by 6,000 to 214,000 in the week ending April 18, from 208,000 in the week ending April 11, revised from 207,000. The four-week average rose 750 to 210,750 in the week ending April 18, from 210,000 the April 11 week, revised from 209,750. The Action Economics/Haver Analytics Survey looked for 210,000 claims to have been filed.

The total number of unemployment insurance beneficiaries—also known as “continuing claims”—rose by 12,000 to 1.821 million in the week ending April 11, from 1.809 million in the week ending April 4. The four-week moving average rose to 1.812 million in the latest week from 1.811 million in the March 28 week. The insured unemployment rate remained at 1.2% in the week of April 11. It has remained at that level since the week of November 29, 2025.

The insured unemployment rate varied greatly across individual states and territories. In the week ending April 4, the highest unemployment rates were in New Jersey (2.51%), Massachusetts (2.37%), Rhode Island (2.31%), Washington (2.25%), Minnesota (2.11%), and California (2.02%). The lowest rates were in Florida (0.30%), Louisiana (0.31%), Arkansas (0.35%), Alabama (0.36%), North Carolina (0.39%), Tennessee (0.46%), South Dakota (0.47%), Kansas and Virginia (both 0.49%). Rates in other notable states include New York (1.92%), Illinois (1.82%), Pennsylvania (1.52%), and Texas (1.04%). These state data are not seasonally adjusted.

Data on weekly unemployment claims are from the Department of Labor itself, not the Bureau of Labor Statistics. They begin in 1967 and are contained in Haver’s **WEEKLY** database and summarized monthly in **USECON**. Data for individual states are in **REGIONW** back to December 1986.

260423C1.jpg

260423D1.jpg

- New claims rose by 6,000 to 214,000.
- Continuing claims rose by 12,000 to 1.821 million.
- The insured unemployment rate remained at 1.2%.


U.S. Initial Unemployment Claims Rose in the Week of April 18

Robert Brusca

260423E.jpg

**Manufacturing looks strong while service sectors weaken**
S&P's April flash PMI readings show some very mixed results. For the United States, India, Australia, and the United Kingdom, there is a strengthening in the readings month-to-month for services, manufacturing, and the composite.

For Japan, France, and the European Monetary Union as a whole, there is improvement in the manufacturing sector on the month but a weaker services reading and a weaker composite overall.

Germany is the only responding area in the table showing weakness all around—in all three sectors—a weaker composite, a weaker manufacturing sector, and a weaker services sector in April. For Germany, this follows a weaker composite and service sector in March as well.

Most reporters—France, the United Kingdom, Japan, Australia, and India—had weaker readings for all three metrics in March: the composite, services, and manufacturing. The March exceptions were the United States, Germany, and the European Monetary Union; in each case, the exception was that the manufacturing sector improved month-to-month, while the composite and services both weakened.

This has been a period of weakening—in March and April—since the war in Iran began. The 48 separate sector readings produced 30 readings that were weaker month-to-month in March and April. Among the 16 composite readings, 12 reported weaker conditions month-to-month. In March, the immediate aftermath of the outbreak of war brought instantaneous step backs across the PMI readings, while April, responding to at least a military success in the area, has shown a significant bounce back that is now more common than further weakness.

The sequential data over three months, six months, and 12 months are based only on completed data; therefore, they're up to date through March. On that basis, we have triple sector weakness in the U.S., India, and Australia, with only Japan and the United Kingdom showing triple-sector improvement over three months. However, if we look at six months compared to 12 months, we have triple sector strength in the Monetary Union, Germany, France, the United Kingdom, Japan, and Australia. India and the U.S. each show only one stronger sector over that comparison—services in India’s case and manufacturing in the U.S. case.

**Ranking Peculiarity**
The ranking data take the current flash data and compare them to the history of observations back to January 2022. What is quite surprising is that, on that timeline, the manufacturing sectors of all the countries in the table—except for Australia and India—show manufacturing standings in their respective 80th to 90th percentiles. Meanwhile, services standings are typically in the 30th percentile or lower.

**Odd Impact of War**
If the war in Iran has an impact on something, we would expect that to fall on the goods trade sector. We would expect this to have an impact on manufacturing although it's the opposite thing that's happening. Manufacturing is showing a revival, while services sectors are showing weaker performance across these countries generally. India is an interesting case, with manufacturing only in its 32nd percentile; however, India’s raw diffusion reading for manufacturing is the strongest raw diffusion reading in the table. What India's ranking is telling us is that India had been extremely strong over the period since 2022, and now compared to that past standard, it's relatively weaker. However, it's still strong in absolute terms, showing a great deal of strength based on its pure diffusion value, just not in comparison to historic performance.

260423.jpg

**Next?**
At this point, it's not clear to me at least what these PMI data are telling us since the strength in manufacturing is a curiosity as is the weakness in the services sector. You see these two phenomena displayed in the chart above, in the case of the European Monetary Union’s flash readings as well.

**War breeds negative effects**
It's not a surprise that war would take some toll on consumer confidence or that it would be reflected in the services sector. However, seeing the kind of weakness being portrayed now in services against the strength in manufacturing is simply a bit hard to rationalize and understand. So, I think we're going to have to keep an eye on these readings as well as other readings in the months ahead to try to discern how global events, the war, conditions in the Strait of Hormuz, inflation currency shifts, and central bank policy are playing out across these various countries. None of what is happening is obvious to me. Japan clearly continues to benefit from a weak yen as its manufacturing sector is flying high, at its best reading since January 2022.

S&P PMIs Show Mixed Fortunes

Winnie Tapasanun

260422A17.jpg

260422B17.jpg

Mortgage applications rose 7.9% w/w (29.9% y/y) in the week ending April 17 following a 1.8% rebound in the week ending April 10, according to the Mortgage Bankers Association’s (MBA) Weekly Mortgage Applications Survey. The latest reading was the second successive w/w gain and the largest since the February 27 week, lifting the index to 303.3, its highest level since the March 20 week. Applications for loans to purchase a house jumped 10.1% (14.5% y/y) in the April 17 week, the biggest w/w increase since the January 9 week, after a 1.0% decline in the previous week. Applications for loan refinancing rose 5.8% (51.9% y/y) in the April 17 week following a 5.1% rebound in the April 10 week.

The effective interest rate on a 30-year fixed-rate loan fell 7bps to 6.53% in the week ending April 17 from 6.60% in the week ending April 10; it was above a low of 6.29% in the week of September 20, 2024 but below a peak of 8.12% in the week of October 20, 2023. The rate on 15-year fixed-rate mortgages dropped 12bps to 5.92% in the April 17 week from 6.04% in the previous week; it was up from a low of 5.60% in the week of September 20, 2024 but down from a high of 7.44% in the week of October 27, 2023. The rate on 30-year jumbo loans declined 5bps to 6.56% in the April 17 week from 6.61% in the prior week; it was above its most recent low of 6.25% in the February 27 week but below a high of 7.99% in the week of October 27, 2023. These three rates hit their lowest levels since the March 13 week. Meanwhile, the rate on a 5-year ARM edged up to 5.81% in the April 17 week, the first w/w increase in four weeks, from 5.80% in the previous week (the lowest since the March 6 week); it was above its most recent low of 5.38% in the February 20 week but below a high of 7.31% in the week of October 27, 2023.

The share of applications for refinancing an existing loan fell to 44.2% of total applications in the week ending April 17—the sixth w/w fall in seven weeks and the lowest level since the week of August 1, 2025—after rising to 45.5% in the week ending April 10; those numbers remained below a peak of 61.9% in the January 16 week. The adjustable-rate mortgage (ARM) share of activity declined to a three-week-low 8.0% in the April 17 week from 8.4% in the prior week; it was below a peak of 12.9% in the week of September 12, 2025 but above a low of 4.7% in the week of January 3, 2025.

The average size of a mortgage loan, up for the third consecutive week, rose 1.2% w/w (3.4% y/y) to $399,900 in the April 17 week, the highest level since the March 13 week, after a 1.3% increase to $395,000 in the April 10 week. The average size of a purchase loan eased 0.1% (+3.6% y/y) to $455,600 in the April 17 week, the fourth w/w decline in five weeks, following a 1.8% rebound to $456,100 in the prior week. The average size of a loan to refinance a mortgage climbed 2.4% (10.7% y/y) to $329,500 in the April 17 week after a 1.5% rise to $321,800 in the previous week, marking the third successive w/w increase and the highest level since the March 20 week.

The Mortgage Bankers Association Survey covers 75% of all U.S. retail residential mortgage applications and has been conducted weekly since 1990. Respondents include mortgage bankers, commercial banks and thrifts. The base period and value for all indexes is March 16, 1990=100. The figures for weekly mortgage applications and interest rates are available in Haver’s **SURVEYS** database.

- Purchase applications +10.1% w/w, biggest increase since the Jan. 9 week; refinancing loan applications +5.8% w/w, second consecutive rise.
- Effective interest rate on 30-year fixed loans down 7bps to 6.53%, a five-week low.
- Average loan size up for the third straight week, highest level since the March 13 week.

U.S. Mortgage Applications Up 7.9% in the April 17 Week, Largest Gain Since Late February

260422E.jpg

The National Bank of Belgium consumer survey for April registered -9, compared to a reading of -6 in March and +1 in February. Since the war in the Middle East began, confidence readings have declined steadily. However, the April consumer confidence reading of -9 still shows improvement from its level of -14 recorded 2 months ago. The index has a 37.8 percentile standing based on data back to 1991, which places it below its historic median: the median ranking occurs at a percentile standing of 50.

The responses to the survey are mixed and some of them are quite negative; however, a few also are quite upbeat. For now, the main message is that the survey is mixed. While most confidence readings tend to the weak side, there are a few that are actually quite encouraging.

**Economic Situation**
A survey on the economic situation shows improvement for the next 12 months; its April reading rose to -43 in April from -45 in March. However, with the onset of war, the March reading had fallen to -45 from -25 in February, so the month-to-month uptick in April is really small potatoes. The 12-month change in the outlook for the economic situation over the next 12 months is a tick better in April 2026 than it was in April 2025. Continuing the back and forth on its “bad but not that bad” swing, the queue reading of the index on data back to 1991 has only a 1.8 percentile standing, marking it as weaker than its current level less than 2% of the time and ending the back-and-forth on whether the reading is poor or not. It is very weak.

The assessment of the economic situation over the last 12 months deteriorated to -57 in April from -42 in March, and it also worsened compared to its level of a year ago. In addition, its standing is in the bottom 8% of its historic queue data.

**Prices**
Price trends give us some of the clearest and most negative views. Prices over the next 12 months improved slightly from March, moving to a reading of 50 in April from 53 in March. Still, the April reading of 50 is higher than its reading of 35 one year ago, and its standing is in the top 1% of all observations on data back to 1991. Those are dismal statistics. Price trends for the last 12 months are shown to have been slightly more stable but still with readings that had been historically worse, only about 15% of the time, marking the past inflation environment as having been poor as well.

**Unemployment**
The consumers’ unemployment forecast went up in April to a reading of +6 from -3 in March; it had deteriorated to -3 in March from -11 in February. A rising unemployment response reflects deterioration. People are assessing the possibility of unemployment as getting higher, although at +6 the April reading is substantially reduced compared to what it was a year ago at +21. The standing for the unemployment forecast is only in its 16.7 percentile of its historic queue of data, meaning that the likelihood of unemployment has been lower than this, only about 16% to 17% of the time.

**Major Household Purchases**
If you look at the environment to make major household purchases, the responses of consumers become slightly more convoluted since the question as to whether it's favorable to buy at present deteriorated sharply in April to -44 from -23 in March; that was a sharp deterioration from -20 a year ago. Ranking the current -44 reading on data back to 1991, this is the weakest or the worst favorability for spending on this timeline. So that particular sequence of data doesn't fit really well with the unemployment responses, although being unemployed and finding it's a favorable time to buy goods are different things; both do speak to the economic environment which we can see is somewhat touch and go.

The outlook for making major purchases over the next 12 months deteriorated slightly over the last few months, with a reading of -19 compared to -17 a year ago. That current reading has a 24.3 percentile standing, placing it in the lower quartile of its historic queue of data. This underlines that the spending environment has been poor throughout the last year compared to historic experience since the 1990s.

**The Financial Situation of Households**
The financial situation of households over the next 12 months deteriorated slightly in April to -5 from -3, and it had deteriorated in March to -3 from -2 in February. Even so, the April reading of  5 was stronger than -8 recorded one year ago. Still, if we let the ranking on data back to 1991 be the arbiter of whether the assessment of conditions is weak, the 10.6 percentile standing for the financial situation ahead and the 12.2 percentile standing for the financial situation of households over the last 12 months both indicate decisive weakness.

**The Current Situation**
The next reading is a bit of a surprise given the drumbeat of weakness that we see from the data above. The current situation appraisal did backtrack in April to 21 from 25 in March, but it's only slightly weaker than a reading of 22 in February. The April 2026 reading of 21 is slightly weaker than a reading of 25 one year ago. However, the April reading has a percentile standing on data back to 1991 at its 74.5 percentile, putting it right at the border of its top 25th percentile.

So, the current situation is appraised as a top 25-percentile standing, but the environment for making purchases over the next 12 months has a lower 24-percentile standing; and the current situation has a favorability for buying which is the worst that we've seen in the entire period. However, expectations of unemployment remain low. To round out this situation, the favorability to save over the next 12 months has a ranking in its 86-percentile, making it a top 15-percentile reading. The favorability to save at present has a 58-percentile standing, placing it above its historic median and slightly better than average. What we have are crosscurrents.

On balance, you see the consumers view their situation as having a lot of crosscurrents. In terms of the thing they fear the most, unemployment conditions are not considered to be at risk and the economic situation is appraised to be in the upper tier of where it has been since the 1990s even though the favorability of spending is the worst experience for consumers on that same timeline. But the inflation readings are unambiguously bad—and worsening.

It would appear from these crosscurrents that the Belgian consumer is ripe for being pushed one way or the other if events were to markedly either improve or to deteriorate.

260422.jpg

Belgium

National Bank of Belgium Consumer Survey for April

260421V50.jpg

260421W50.jpg

Total retail sales rose a larger-than-expected 1.7% m/m (+4.0% y/y) in March following an upwardly revised 0.7% m/m gain in February (previously +0.6% m/m) in February, according to data from the U.S. Census Bureau. The Action Economics Forecast Survey looked for a 1.4% m/m increase. Excluding autos, other sales soared 1.9% m/m (+5.5% y/y) in March after an upwardly revised 0.7% monthly gain in February (previously +0.5% m/m). The Action Economics Forecast Survey looked for a 1.4% m/m increase in sales excluding autos. The March increase in total sales was the largest monthly increase since last March while the March jump in ex-auto sales was the largest monthly gain since January 2023.

As expected, a 15.5% m/m surge in sales at gasoline stations, largely reflecting a previously reported 21.2% m/m jump in retail gasoline prices, accounted for much of the monthly increase in both overall and ex-auto sales in March. However, sales were solid even without gasoline sales. Total sales excluding gasoline rose 0.6% in March versus a 0.7% monthly gain in February. Sales excluding both autos and gasoline increased 0.6% m/m in March, the same rise as in February. Forecasters expected only a 0.2% m/m increase in sales ex both autos and gasoline.

The control group of sales (total sales excluding food services, autos, gasoline and building materials that the BEA uses to construct PCE in the national accounts) posted another solid increase in March, rising 0.7% m/m following an upwardly revised 0.6% monthly increase in February (previously +0.5% m/m). For all of Q1, control group sales were up 1.2% q/q, up from a 0.7% quarterly gain in Q4. This points to a somewhat surprising pickup in household spending growth when Q1 GDP is reported on April 30. Many analysts had feared that the sharp rise in gasoline prices would put significant stress on household finances and thereby slow spending. A possible explanation for the recent resilience of sales is larger income tax refunds this year owing to the OBBBA which reduced taxes during last year while the withholding tables were not adjusted until this year (resulting in more over-withholding last year).

Sales across major sectors generally posted solid gains in March. Auto sales rose 0.5% m/m on top of a 1.0% m/m increase in February. Furniture and appliance sales jumped 1.6%, the third consecutive monthly gain and the largest since December 2024. General merchandise store sales jumped 1.0% m/m, their largest monthly gain since April 2023. Nonstore retail sales increased 1.0% m/m in March, their third consecutive month with an increase of 1% or more. Building material and garden supply store sales rose 0.7% m/m in March, their fifth consecutive monthly increase. Sales at food and beverage stores increased 0.7% m/m in March, their first monthly gain in three months. By contrast, clothing sales were unchanged following a 2.8% monthly jump in February. Sales at sporting goods, book and music stores were also unchanged in March after a 0.7% monthly rise in February. Eating out sales edged up 0.1% m/m in March following a 0.5% m/m increase in February. The only major category posting a monthly decline in March was “miscellaneous” sales which fell 0.9% m/m but this was after 2.2% m/m gains in both January and February.

Retail sales data can be found in Haver’s **USECON** database. The expectations figures are from the Action Economics Forecast Survey in **AS1REPNA**.

260421X50.jpg

260421Y50.jpg

- Total sales jumped 1.7% m/m in March with small upward revisions to January and February.
- Gasoline sales surged 15.5% m/m in March, but even excluding that increase, the remainder of retail sales rose 0.6% m/m.
- Excluding autos, sales soared 1.9% m/m in March with small upward revisions to January and February.
- Sales of the retail control group that is used to construct PCE rose 0.7% m/m in March and 1.2% q/q for all of Q1.

U.S. Retail Sales Jumped in March only Partly Due to Surging Gasoline Prices

260421F.jpg

260421G.jpg

The Pending Home Sales Index, a forward-looking measure of home sales based on contract signings, rose 1.5% m/m to 73.7 in March following an upwardly revised 2.5% gain in February (+1.8% initially) and a 1.0% decline in January (unrevised), according to the National Association of Realtors (NAR). March marked the second straight m/m rise and the highest index level since November (77.2). The year-on-year rate was -1.1% in March, the fourth consecutive negative y/y reading, compared to -0.1% in February and -2.1% in March 2025. The index had fallen 41.1% since its October 2021 high of 125.1.

The m/m rise in March pending home sales coincided with an increase in the average 30-year fixed mortgage rate to a three-month-high 6.18% in March after a 6-bps decline to 6.05% in February. These rates, while below a peak of 7.62% in October 2023, had remained above a low of 5.22% in August 2022 and more than double a record-low 2.68% in December 2020.

By region, March pending home sales showed a mixed performance. Sales in the Northeast rebounded 4.4% (-6.5% y/y) in March, the first m/m increase since November, after a 2.6% decrease in February. Sales in the South rose 3.9% (2.3% y/y) following a 3.5% February rise and two successive m/m declines. Sales in the West dropped 2.6% (-1.7% y/y) after a 0.9% February increase, and sales in the Midwest fell 1.3% (-3.1% y/y) after a 5.5% February gain; both regions declined m/m for the first time since December.

The pending home sales index measures sales at the time the contract for the purchase of an existing home is signed, similar to the Census Bureau's new home sales data. In contrast, the National Association of Realtors' existing home sales data are recorded when the sale is closed, which is usually a couple of months after the sales contract has been signed. In developing the pending home sales index, the NAR found that the level of monthly sales contract activity leads the level of closed existing home sales by about two months.

The series dates back to 2001 and are available in Haver's **PREALTOR** database. Weekly mortgage interest rates from the Mortgage Bankers Association can be found in the **WEEKLY** database.

- PHSI +1.5% m/m (-1.1% y/y) to 73.7 in Mar., highest level since Nov.
- Home sales m/m up in the Northeast (+4.4%) and South (+3.9%); down in the Midwest (-1.3%) and West (-2.6%).
- Home sales y/y down in the Northeast (-6.5%), Midwest (-3.1%), and West (-1.7%); up in the South (+2.3%).

U.S. Pending Home Sales Up for Second Consecutive Month in March

Michael J. Moran

large_260428N.jpg

medium_260428N.jpg

small_260428N.jpg

thumbnail_260428N.jpg

260428N.jpg

large_260428O.jpg

medium_260428O.jpg

small_260428O.jpg

thumbnail_260428O.jpg

260428O.jpg

The Conference Board’s index of Consumer Confidence inched higher in April from an upwardly revised reading in March. The combined changes left the measure 1.1% higher than the preliminary tally in March. Despite the improvement, the index remained in the low end of the range for the current expansion. The index in April totaled 92.8, down from an average of 96.1 in 2025 and an annual cyclical high of 105.4 in 2023.

The Improvement in April reflected a pickup in the expectations component, which rose 1.7%. The current conditions component inched 0.2% lower. Overall views on current conditions slipped despite more favorable assessments of the labor market. The so-called measure of the jobs gap (share of respondents indicating that jobs are plentiful less the share saying that jobs are hard to get) rose 1.4 percentage points higher to 7.5%. The pickup reflected a drop in the share indicating that jobs are hard to get (down 1.5 percentage points to 19.8%). The share indicating that jobs are plentiful eased 0.1 percentage point to 27.3%.

Although expectations improved in April, from a long-term perspective they could be viewed as the more important factor restraining the headline measure of confidence. As shown in the left chart below, the expectations component of confidence shows considerably less volatility than the current conditions component does. The contrasting patterns suggest that individuals realize that the economy will undergo possibly sharp cyclical swings, but they expect conditions at some point to return to an underlying norm.

The current conditions index in the current cycle has indeed dropped noticeably, but it is still above the long run average (123.8 in April versus the average of approximately 108 from 1990 to 2025). The expectations component, as usual, has eased less than the current conditions component, but its shift has pushed the measure to the low end of its long-run range (72.2 in April versus an average of approximately 88).

Interestingly, concern about the labor market seems to be a factor affecting expectations. While current views on the labor market are favorable (plentiful less hard to get jobs gap of 7.5%), Individual are concerned about the future. The survey asks respondents if they expect more jobs or fewer jobs six months hence. The share indicating fewer jobs has moved well into the upper end of the historical range. Such observations in the past were typically seen only during recession (chart, below right). An unfavorable view on interest rates also seems to be playing a role in depressing the expectations component. More than 60% of respondents to the current survey expect higher interest rates 12 months from now.

The results from the Conference Board survey of consumers differ markedly from those of the University of Michigan Survey Research Center. The Michigan results show consumer sentiment at a record low, while the Conference Board index is only slightly below its long-run average. The difference most likely reflects the nature of the questions in the surveys. The Conference Board focuses on business and employment conditions, while Michigan emphasizes personal finances. The focus on finances, along with questions on inflation, probably picks up concerns about affordability.

The Consumer Confidence data are available in Haver’s **CBDB** database. The total indexes, which are indexed to 1985=100, appear in **USECON**, and market expectations are in **AS1REPNA**.

large_260428P.jpg

medium_260428P.jpg

small_260428P.jpg

thumbnail_260428P.jpg

260428P.jpg

large_260428Q.jpg

medium_260428Q.jpg

small_260428Q.jpg

thumbnail_260428Q.jpg

260428Q.jpg

- Expectations improved slightly in April, but are still subdued relative to norms.
- Moderately favorable view of current conditions.

Consumer Confidence: Modest Change in April

Our global data offering is unparalleled in terms of coverage, quality, and organization. We offer 290+ databases from 2500 government and private sources, a wealth of key survey and forecast data covering the world’s economies, and a robust offering of archive databases that drive machine learning for big data applications.

Optimized for precision analytics, our data is seamlessly integrated with Microsoft Office and all leading statistical packages through our DLX® software and platform independent HaverView™ website. We further offer direct database feeds, client server or cloud-based delivery, and RESTful API.


Privacy Policy

Disclaimer

Contact us

Service Health

A premier time series data platform for the global strategy, research, and quant communities. 

London

Singapore

Tokyo

New York

Economy in Brief

Viewpoints

Contact Us

Our Data

Our Products

What We Do

Our Authors

About Us

Data News

Featured Data Additions

Resources

Release Calendars

Training Center

Webinars

Newsletters

Download Software

For Clients

Live Updates

#### World Economy Tracked for You 
Haver's worldwide economic data coverage provides a productive resource for analysts, strategists, and risk managers alike. With 45+ years as the industry leader, our breadth of data is unmatched.


#### Diverse Data Sources
From international banks to the farthest reaches of emerging markets, our coverage meets the needs of the global research community.

#### Driven By Quality
Committed to quality and transparency, all data sourced and delivered is continuously monitored and validated to ensure the highest level of accuracy. 

#### Global Data 
From archives to forecasts, primary-sourced from around the globe, we offer 290+ time-series databases.

#### Speed Matters
Delivering precise data as quickly as possible is our priority, which we accomplish in about one minute of release.

Data

#### Comprehensive Solutions
Effortlessly navigate, analyze, and visualize data with our broad array of tools and seamless integration with industry leading statistical and econometric packages. Gain insight and share your perspectives with ease.

#### Secure Data Access 
Effortlessly manage and work with data — delivered to your network or via our cloud services. The choices are easy, and the results are the same, fully secure and consistent access.

#### HaverView™
With a commitment to making data accessible for any work environment, our HaverView web application offers a flexible and productive resource for the dynamic research markets we serve. 

#### Data Exports and Workflow Management
Our DLX software integrates with MS Office allowing seamless publication in PowerPoint and Word as well as intuitive data management in Excel. Flexible data feeds are also supported by a variety of methods. 

Software

#### Econometric Software Support
Use our various integration tools to access our data in popular econometric software such as SAS, Stata and MatLab.

#### Designed for Programming
Access our data using multiple programming languages including Python, R, C and C++.

#### RESTful API
Restful API access to all DLX databases, supporting quant and machine learning applications. Big data rejoice!

Connectivity

#### Commentaries, Charts and Webcasts
Our team of noted economists produce a daily offering of commentaries supported by our data and analytics. Our charts and webcasts offer a fresh perspective on the state of world economy.

#### Value Added Calculations
World and regional aggregates and many other value added calculations for individual countries including seasonal and holiday adjustments. We love math!

#### Blue Chip Consensus Forecasts
Survey of America's leading business economists for their forecasts of economic and financial data. Results in two monthly publications, the Blue Chip Economic Indicators and the Blue Chip Financial Forecasts, published by Wolters Kluwer.

#### Curated Navigation
Intuitive menus designed and reviewed by our economists for easy navigation of Haver's expanding ocean of data.

Research

#### Data for Colleges and Universities
Customized data available through HaverView providing access to over 120,000 economic and financial time series for the US and UK.

#### Academic Data Scope
National Account (GDP), Production, Labour Market, Inflation, Monetary/Fiscal Policy & International Trade. High-frequency data covering financial variables and drivers of the real economy, and key ESG environmental indicators. Plus, time series from the IMF on 190+ countries to aid cross comparison.

University

#### Move Back through Time
Terabytes of time series from primary sourced databases available in monthly snapshots as early as 2000, in weekly snapshots as early as 2007 or the point of inception of the database. 

#### True DLX Database Snapshots
The data are true snapshots of DLX databases unrevised from the point in time of update.  Easily view our archive data in HaverView with thousands of monthly archives currently available for over 60 unique databases. 

Discover Haver!

Data

Software

Connectivity

Research

University

Archive

World Economy Tracked for You

Diverse Data Sources

Driven By Quality

Global Data

Speed Matters

Economic Commentary

Consumer Confidence: Modest Change in April

Recent Commentaries

U.S. FHFA House Prices Flat in February After Four Straight M/M Gains

EMU PPIs Show Instant Pressure

Economic Letter from Asia: Not Just About the Strait

U.K. Retail Sales: Worse Than During Covid

Fed Chair Nominee Warsh & The Dumbing-Down of Inflation

German Ifo Plunges Everywhere

Latest Releases

Graph of the Week

Inflationary impact of surge in oil prices larger in Europe than in the US

Economy in Brief

Viewpoints