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.

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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

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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

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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

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Data Link Express

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

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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

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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.

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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.

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[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.

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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

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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

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Remote Training: Applied Time Series in Python

Surging orders for computers and electronics propelling durable goods orders

Robert Brusca

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German consumer climate, as measured by the GfK survey for the month ahead of July, posted a reading of -29.2, a slight improvement from -29.7 in June. This is the second consecutive monthly improvement, slight though it may be, in the reading for climate. The ranking of this reading on data back to 2002 finds that it has been weaker only about 4% of the time on this timeline. The reading for climate remains extremely weak in Germany, despite the slight up-creep over the past couple of months.

The components for the climate index are up to date only through June. On that basis, there was a small increase in economic expectations, a small increase in income expectations, and a smaller decline in the rating for the propensity to buy, a consumer spending metric. The reading for economic expectations in June has a 22.4 percentile standing, the reading for income has a 14.6 percentile standing, and the reading for the propensity to buy has a 23.8 percentile standing. All three of these metrics have readings that are in the lower quartile of their range of readings back to 2002. The headline reading is substantially weaker in its ranking than the three components; however, these are for different timelines—the headline is for July, while the components are for June. The weaker climate standing may simply reflect the confluence of the weak readings for these three components, marking that as a more unusual event than the stand-alone rankings of each one by itself.  In any event, there is little in the German survey to give much confidence that conditions in Germany are significantly improving, let alone getting better.

The table also includes consumer confidence readings for other EU members, specifically Italy and France, as well as for the nonaligned United Kingdom. Italy's reading is up to date as of May, while the French and U.K. readings are up to date as of June. The recent Italian reading ticked up slightly, from 90.8 in April to 93.4 in May. The May reading for Italy has a 60.3 percentile standing, much better than the readings for the German headline, France, or the U.K. The French reading, at 84, is improved from 82.4 in June but still has only a 6.8 percentile standing, an extremely weak standing comparable to the headline standing for German climate. The U.K. reading is stuck at -23 for two months in a row, which produces a 26.9 percentile standing, another weak reading and a near 25-percentile low reading for the U.K.

These various readings span months ending in May, June, or July; the signals they emit are consistent that consumer confidence is quite weak in Europe—extremely weak in Germany and France, quite weak in the U.K., and only Italy produces a number where the ranking is above its 50th percentile, putting it above its historic mean of readings over data back to the year 2002. Italian consumer confidence readings have tended to be more resilient than those of other countries recently.

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**Summing up**
The bottom line is that consumer confidence in these selected European countries is extremely weak. There's no evidence of a rebound and little evidence that conditions are improving in a significant way. The conditions in Ukraine haven't changed much in recent months, although there are some indications that Ukraine has been gaining somewhat of an upper hand, while in the Middle East, circumstances regarding the war with Iran and the state of the Strait of Hormuz continues to be touch-and-go. In this environment, it's not surprising that consumers remain on their back foot. However, the extreme degree of consumer unrest remains surprising.

Germany

German Confidence Edges Up but Remains in Deep Doldrums

Winnie Tapasanun

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New single-family home sales unexpectedly fell 7.3% m/m (-6.8% y/y) to a seasonally adjusted annual rate of 580,000 units in May following an upwardly revised 5.7% decline to 626,000 in April (initially -6.2%, 622,000) and an upwardly revised 5.4% increase to 664,000 in March (previously +3.4%, 663,000), according to data from the U.S. Census Bureau. The Action Economics Forecast Survey had expected May sales of 640,000. May marked the lowest level since January, down 23.4% from a high of 757,000 in November 2025 but up 8.4% from a low of 535,000 in July 2022. The May decline coincided with a rise in the average 30-year fixed mortgage rate to 6.44%, the highest since August 2025, from 6.33% in April, according to Freddie Mac.

Regionally, May new home sales showed a mixed performance. Sales in the West plummeted 26.9% (-17.0% y/y) to 117,000 in May, a seven-month low, reversing a 19.4% rebound to 160,000 in April. Sales in the South fell 4.1% (-5.4% y/y) to 350,000, the lowest level since January, on top of an 11.4% April drop to 365,000. In contrast, sales in the Midwest recovered 16.2% (-3.7% y/y) to 79,000, the third m/m gain in four months, after a 20.0% April plunge to 68,000. Sales in the Northeast increased 3.0% (17.2% y/y) to 34,000, the highest level since December, following a flat reading in April and a 73.7% surge in March. Notably, the South remained the dominant region, accounting for 60.3% of total U.S. new home sales.

The median sales price of a new home rose 2.0% (0.0% y/y) to $424,900 in May, the highest since December, following a 6.0% rise to $416,500 in April and three consecutive m/m decreases. The median sales price was 6.9% above a low of $397,600 in November 2024 but 7.7% below its record high of $460,300 in October 2022. The average sales price of a new home climbed 7.8% (5.0% y/y) to $540,600, the first m/m increase in three months and the highest level since July 2022, following a 1.3% April decline to $501,400. The average price was 13.7% above a low of $475,600 in August 2024 and just 0.1% below a peak of $541,200 in July 2022. These sales price data are not seasonally adjusted.

The number of unsold new homes on the market grew 2.3% (-1.4% y/y) to 496,000 in May, the third m/m rise in four months and the highest level since July 2025, after a 0.8% rebound to 485,000 in April. The latest figure was 17.0% above a low of 424,000 in May 2023. The seasonally adjusted months' supply of new homes for sale rose to 10.3 months in May from 9.3 months in April, remaining above a low of 6.9 months in May 2023 and matching a high last seen in July 2022.

The median number of months a new home stayed on the market increased to 3.7 months in May, the highest since July 2021, from 3.6 months in April. The latest reading was above its record low of 1.5 months in September and October 2022 but well below a peak of 5.1 months in March 2021. These figures date back to January 1975.

New home sales are recorded when the sales contract is signed. New home sales activity and prices are available in Haver's **USECON** database. The consensus expectation figure from Action Economics is available in the **AS1REPNA** database.

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- Sales -7.3% m/m (-6.8% y/y) to 580,000 in May; down 23.4% from a November high.
- Sales m/m down in the West (-26.9%) and South (-4.1%); up in the Midwest (+16.2%) and Northeast (+3.0%).
- Sales y/y down in all regions except the Northeast (+17.2%).
- Median sales price +2.0% m/m to $424,900, a 5-month high; avg. price +7.8% m/m to $540,600, highest since July ’22.
- Months' supply up to 10.3 mths., highest since July ’22.

U.S. New Home Sales Unexpectedly Hit a Four-Month Low in May

Michael J. Moran

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The US current account balance, which consists of international trade and income flows, deteriorated slightly in the first quarter, moving to a deficit of $226.8 billion versus a shortfall of $221.1 billion in the fourth quarter of last year (chart, upper left). Trade flows moved slightly in favor of the US, as the deficit narrowed by $11.6 billion to $165.8 billion, with trade in both goods and services contributing to the improvement. The latest reading on the trade deficit was among the best of the post-pandemic period (chart, upper right).

The improvement in trade was more than offset by softening in both primary income and secondary income. Primary income consists of net receipts of both investment income and employee compensation, with net flows defined as receipts of US residents from abroad less US payments to residents in foreign countries. Net investment income is by far the larger of the two components of primary income, and it accounted for nearly all the slippage in primary income, dropping $17.0 billion to -$7.8 billion. The shift pushed net investment income back into negative territory after a quarter in the plus column (chart, lower left). Employee compensation moved in favor of the US by 4.0%, but given the small size of employee compensation, the improvement represented an insignificant offset to the slippage in investment income.

Secondary income consists of transfer payments (payments made without receiving something of economic value in return); examples include personal remittances (foreign workers sending funds to families in their home countries), charitable donations, taxes, fines, and penalties. Payments made by US residents have always exceeded payments received, leaving a regular deficit in secondary income. This component of the current account slipped 1.3% in Q1, but it remained within the range of observations over the past year.

Annual revisions to the current account were notable, as both the trade balance and the balance on primary income were revised to show deeper deficits. The quarterly average trade deficit for 2025 now totals $233.0 billion versus a previous estimate of $227.9 billion. Primary income now shows a quarterly average deficit of $11.9 billion for 2025 versus a surplus of $3.2 billion.

The shift to a deficit position in primary income in 2025 is not shocking, as previously estimated positive readings on average in 2025 (and prior years) were surprising in light of the international investment position of the US. Foreign investors hold far larger amounts of US assets than US investors hold of foreign assets (chart, lower right). That is, the US has a deficit in investment holdings. However, despite the differential in asset holdings, US investors typically earned higher rates of return on their foreign investments than foreigners earned on their US investments. Although the gap in asset holdings has been large, the higher returns earned by US investors left net investment income positive. Revised data now suggest that the net international investment position of the US has slipped to such a degree that higher rates of return will no longer offset the differential in asset holdings. Positive quarterly readings on net investment income might be apparent at times (such as 2025-Q4), but net investment income (and primary income in total) will probably be negative in most coming quarters.

Balance of Payments data are in Haver’s **USINT** database, with summaries available in **USECON**. The expectations figure is in the **AS1REPNA** database.

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- Improvement in the trade balance offset by weaker net investment income.
- Annual revision showed wider deficit in 2025.


Q1 Current Account: Modest Slippage in Early 2026

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**PMIs in June mark some progress**
The PMI report from S&P shows modest firming in conditions in June, even with the Middle East situation unresolved.

**Monthly:** The median reading for the 8 reporting countries or regions rose to 50.8 in June from 50.1 in May. Manufacturing improved to 52.7 from 52.4, while the services reading rose to 50.3 from 49.6, leaving a month of mild contraction behind.

**Most show June improvement:** Most countries or regions improved in June; the exceptions were Germany, the United Kingdom, and India, which were weaker. India was dragged down by a weaker service sector reading in June; the U.K. and Germany showed weakening conditions across the board for the composite index, the manufacturing sector, and services. On the other side of the coin, France, Japan, Australia, and the U.S. all showed improvement in each of three sectors: the composite, manufacturing, and services, in June compared to May.

**Sequentially still mixed:** The broader sequential readings show ongoing weakness, but these are derived from hard data and lag the monthly observations in the table that include preliminary flash estimates. All the composite readings weakened based on three-month averages except for India. However, seven of eight reporting areas showed improvement in manufacturing over three months compared to six months; the exception was Australia. Over six months, conditions are mixed, with four composite readings weaker compared to 12 months and with four stronger. However, over six months, all eight manufacturing sectors improved compared to 12 months. The 12-month readings are consistently stronger than their readings of 12 months ago. The only composite that's weaker is the U.S., while the services sectors in the monetary union, Germany, France, and the U.S. are weaker than they were 12 months ago.

**Standings are weak:** The queue percentile standings evaluate the current diffusion index in June compared to where it has been since January 2022, a period of about 4½ years. The queue standings show weakness up and down the line, with the exception of the manufacturing sector; that has the standing above its historic median in the monetary union, Germany, France, the U.K., the U.S., and Japan. Only Australia and India show manufacturing sectors whose current monthly standings are below their medians of the last 4½ years. In addition, Japan has a strong composite reading at its 81st percentile. Overall, the services sectors are weak and below their 50% standing every place, and below that mark by a large margin, except for Japan, where the services sector has a 47th percentile standing, only a few ticks below its median.

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**Summing up: A glimmer of hope but still a lot of weakness**
Manufacturing is stronger sequentially over three months, six months, and 12 months for every reporter except for Australia over three months. The rest of the report is not very impressive. There is some rebound in June, but here we're talking about volatile monthly data. The services sectors still show sequential weakness over 12 months, six months, and three months in the European Monetary Union, Germany, France, and the U.S. The U.K. and Japan showed three-month and six-month weakness as well. That’s too much weakness in the key job creation sector to think that this report is a positive signal.

S&P PMIs in June Firm

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Danish consumer confidence rose to -14 in June from -19.8 in May, a small pickup for a still-negative net reading. In June, the reading has a standing at its 7.9 percentile on data back to 1995. So, this confidence headline still has a lower 8% reading overall.

On the month, all seven component readings improved compared to May, although the environmental assessments were little changed across four components. As for the environment, the most changed reading is the improved favorability of the time to save, a metric that is not always a positive category.

As for the seven categories, the readings on the financial situation, general economy and the unemployment rate all improved month-to-month, while the inflation metrics both backed down sharply.

These changes show the financial situation and general economy gauges all at rankings in the lower 20th percentiles, with the outlook for the next 12 months having a standing in their lower 10th percentiles and lower for both the financial situation and the general economy.

Consumer prices, despite a strong monthly step-back, have a 90.2 percentile standing for prices over the past 12 months and a 94.3 percentile standing for the CPI over the next 12 months. Despite some let-up in concerns about unemployment, the unemployment gauge has an 85.1 percentile standing, still substantially elevated.

The environmental readings are less negative, starting with the ‘favorability of the time to purchase,’ a bit weaker month-to-month but improved on balance over two months. The June reading is slightly better than its 12-month average but still has a ranking only in its 21st percentile. The favorability of the time to purchase over the next 12 months is a tick weaker month-to-month and about a point worse than its 12-month average. Its June ranking is in its lower 10th percentile of its historic queue. The favorability of the time to save has a stronger ranking, but this is a more equivocal category. It is improved month-to-month and only slightly stronger over two months The June reading is stronger than its 12-month average, with a ranking in its 47.6 percentile—improved compared to previous categories but still worse than its historic median since 1995 (the median occurs at a ranking of 50%). The ‘general financial situation of households now’ ticked lower in June from May but is stronger on balance over two months. The June reading is above its 12-month average and has a 59.2 percentile standing—above its median.

On balance, Denmark shows improving confidence, progressing slowly but on the right path. There is a sharp downward adjustment in inflation, especially over the next 12 months, despite global conditions. Still, the ranking of the confidence metrics are uniformly weak.

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Denmark

Danish Confidence Improves As Inflation Expectations Pull Back Sharply

Andrew Cates

**US Outperformance Holds; Europe and China Continue to Disappoint**
One of the most persistent features of the global macro landscape in 2026 has been the widening divergence between growth outcomes in the United States and those in Europe and China. Citigroup’s global growth surprise indices—which measure the gap between actual economic releases and consensus expectations—capture this divergence with unusual clarity. US data have continued to surprise on the upside, supported by resilient consumer spending, a stronger-than-expected labour market and the ongoing AI-driven capital spending boom. The picture elsewhere is less encouraging. Growth surprises have turned negative across the euro area, reflecting the cumulative toll of elevated energy costs, weak industrial activity and subdued business confidence. And China's growth surprise index has also fallen sharply in recent weeks, with weaker-than-expected retail sales and fixed asset investment data for May this week reinforcing concerns that domestic demand remains fragile and that policy support is yet to gain meaningful traction.

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**The Oil Risk Premium in the UK Has Been Fading**
One of the more notable features of UK markets this year has been the close relationship between oil prices and two-year gilt yields. The link is not mechanical, but in an economy heavily exposed to imported energy, swings in oil prices can materially alter the inflation outlook and, by extension, expectations for Bank of England policy. That relationship was on display again this week. A softer-than-expected UK CPI reading for May—helped in part by easing energy price pressures—led investors to scale back expectations that inflation would remain persistently above target, pushing two-year gilt yields to their lowest level in six weeks. The question now is whether this marks the start of a more sustained easing in inflation pressures or merely a temporary reprieve. Much will depend on whether the recent decline in oil prices following the US-Iran ceasefire agreement proves durable.

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**The AI Investment Boom Is Rewriting the Rule Book for the Chip Industry**
If the divergence in global growth surprises noted above tells a story of a world economy under strain, the semiconductor sales data tell a very different one — of a technology-driven investment cycle that is accelerating almost regardless of the broader macro environment. Global semiconductor sales have surged to record levels over the past twelve months, driven primarily by insatiable demand for the chips that underpin AI infrastructure: graphics processing units, high-bandwidth memory, and advanced logic chips. Data centre capital expenditure from the hyperscalers continues to exceed even the most optimistic forecasts from a year ago, and the investment pipeline shows no sign of moderating. The gains are concentrated in AI-adjacent products; legacy chips for consumer electronics and industrial applications remain relatively soft.

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**Copper Holds Firm As Oil Retreats**
The commodity markets are telling two quite different stories this week, and the contrast is instructive. Oil has moved sharply lower on the US-Iran MoU news as investors trim the conflict risk premium that has been embedded in energy markets since March — a welcome development for inflation and central bank optionality alike. But the three commodities shown in this chart tell a different story. Copper, one of the most reliable proxies for global electricity infrastructure investment, remains near multi-year highs, reflecting the extraordinary volume of data centre construction, grid expansion and electrification spending flowing through the global economy. Aluminium — energy-intensive to produce and increasingly in demand for the structural components of both data centres and electric vehicles — has, until quite recently, held its ground. Lithium hydroxide, the battery-grade refining product that sits at the heart of the energy storage supply chain, has seen some cyclical softness but remains structurally underpinned by the scale of demand being projected for grid-scale storage and electric mobility over the next decade.

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**Is Energy Availability a Binding Constraint on Growth?**
This next chart is a scatter plot that maps electricity generation per capita against GDP growth per capita across a broad sample of countries over the past five years. The positive relationship is striking. Economies with higher electricity generation per capita, including the United States, have generally delivered stronger GDP growth, while those with more constrained electricity systems have tended to lag. The obvious objection is reverse causality: richer economies generate more electricity because they have more to power. That is partly true. But the broader evidence is difficult to dismiss. The US shale revolution delivered an abundance of cheap energy that supported a sustained period of industrial outperformance relative to many advanced economies. Mainstream commentary often attributed this advantage to factors such as labour market flexibility or technological innovation, but energy costs were arguably at least as important.

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**Corporate America Is Investing from a Position of Unusual Financial Strength**
The surge in US corporate investment—particularly in AI infrastructure, data centres and semiconductors—has inevitably drawn comparisons with the late-1990s dot-com boom. Yet the financial balance data suggest an important difference. During the dot-com era, US non-financial corporates moved into a financial deficit approaching 4% of GDP, relying heavily on external financing to fund investment. Today, despite another ambitious investment cycle, the sector remains in surplus, currently around 1.8% of GDP. Corporate America is investing aggressively, but it is still generating more cash than it is spending. The boom is being financed largely through profits rather than debt. Risks remain—not least the growing fiscal burden on the federal government—but the balance-sheet fragilities that turned previous investment booms into systemic crises appear far less pronounced. If a major constraint emerges in the years ahead, it may be energy and resources rather than leverage.

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The signing of a Memorandum of Understanding (MoU) between the United States and Iran earlier this week has offered financial markets their most significant moment of geopolitical relief since the Middle East conflict escalated in early March. Oil prices fell sharply on the news, short-dated bond yields moved lower across several major economies, and risk assets recovered ground. But relief, as investors have learnt repeatedly over the past three months, is arguably not the same as resolution. The MoU sets a framework for negotiations rather than a final settlement, and the history of US-Iran diplomacy is not one that encourages complacency. Meanwhile, the Federal Reserve — concluding its June meeting yesterday under new chair Kevin Warsh — held rates steady but delivered a distinctly hawkish dot plot that shifted the median year-end projection from a cut to a hike, a reminder that the easing cycle the market had been pricing is no longer the base case. Against this backdrop, this week's charts take stock of where the global economy presently stands — and what the underlying data, beneath the geopolitical noise, are telling us. The picture that emerges is one of divergence. The United States continues to outperform consensus growth expectations while Europe and China disappoint (chart 1). UK short-dated yields have tracked oil prices with unusual consistency this year, and today's softer-than-expected CPI print for May — arriving just as the MoU has knocked crude lower — potentially changes the policy calculus for the Bank of England (chart 2). Global semiconductor sales, meanwhile, are storming ahead regardless of the geopolitical noise, powered by AI infrastructure spending that shows no sign of fatigue (chart 3). A cross-section of commodity prices tells two stories simultaneously: the geopolitical risk premium is draining out of oil, but the metals and materials the AI economy actually needs — copper, uranium, critical minerals — are holding firm (chart 4). Meanwhile a cross-country scatter of electricity generation and GDP growth over the past five years raises a question that deserves more attention than it typically gets: is energy availability a constraint on growth, or merely a consequence of it? The evidence, we would argue, points firmly in one direction (chart 5). And finally, for all the comparisons being drawn between the current investment boom and the late 1990s, the financial balance of the US corporate sector tells a rather different story — one that matters for how any correction might unfold (chart 6).

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Charts of the Week: Between Relief and Reality

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The current general activity diffusion index rebounded to a slightly stronger-than-expected 10.3 in June following a 27.1-point drop to -0.4 in May, the latest Manufacturing Business Outlook Survey (MBOS) from the Federal Reserve Bank of Philadelphia showed, indicating a return to expansion in manufacturing activity in the Third Federal Reserve District this month. A reading of 10.0 for June had been expected by the Action Economics Forecast Survey. June marked the fifth m/m increase in six months, showing a sharp improvement from -1.4 in June 2025. In June, 32.1% of firms reported increases in current general activity (up from 22.5% in May), while 21.9% reported decreases (down from 22.9%); 45.4% reported no change (down from 54.6%). Survey responses were collected from June 8 to June 15.

Haver Analytics calculates an ISM-adjusted current activity diffusion index from five key components using the methodology along the lines of the national ISM index. The index rose to 53.1 in June after a 4.8-point decline to a contraction-level 49.7 in May, indicating manufacturing activity expanded for the third time in four months; it was slightly above 51.0 in June 2025.

In the latest survey, the new orders index surged to 27.3 in June following a 34.7-point plunge to -1.7 in May, signaling new orders expanded for the sixth time in seven months. The shipments index rebounded to 14.9 this month from 4.9 in May, registering the seventh consecutive expansion. The unfilled orders index advanced to 10.5 from -2.5, indicating expansion for the first time since July 2025 and the highest level since January 2025. In contrast, the inventories index dropped to -8.5 in June from 6.6 in May, showing inventories contracted for the second time in three months and at the lowest level since July 2024. Meanwhile, the delivery times index increased to -2.6 this month from -10.4 in May (the lowest reading since March 2024).

On the labor front, the number of employees index climbed to 7.9 in June from -2.8 in May, indicating employment expanded for the first time in three months and at the highest level since January. In June, a higher 17.0% of respondents reported increases in employment, while 9.2% reported declines; 73.8% reported no change in employment levels. The average employee workweek index fell to -6.5 this month, the first negative reading and lowest since February, from 1.2 in May.

Inflation indicators were mixed in June. The prices paid index rose to 53.2 this month following an 11.4-point drop to 47.9 in May. A higher 53.5% of respondents reported increases in input prices in June, while only 0.4% reported decreases. The prices received index fell to 20.3, a four-month low, after a 7.2-point May decline to 26.3. In June, 20.3% of respondents reported increases in prices received, while 0.0% reported decreases.

The future indexes remained in positive territory, signaling continued overall growth over the next six months, with most future indicators rising. The future general activity diffusion index edged down to 50.2 in June from 53.2 in May, staying positive since February 2024. Future indexes for new orders (60.8 vs. 53.5) and shipments (60.3 vs. 45.7) increased in June (vs. May) and remained positive. Notably, the future capital expenditures index rose to 41.2 this month, the highest level since June 2021, from 30.9 in May. The following future indexes slipped in June (vs. May) but stayed in positive territory: employment (30.8 vs. 31.7), unfilled orders (17.3 vs. 19.2), and inventories (10.0 vs. 11.8). Prices continued to increase, with the future prices paid index easing to a still-elevated 63.2 in June from 70.0 in May and the future prices received index rising to 67.2, the highest level since August 2021, from 60.5.

The Manufacturing Business Outlook Survey (MBOS), conducted by the Federal Reserve Bank of Philadelphia, is a monthly survey of manufacturers in the Third Federal Reserve District. Participants indicate the direction of change in overall business activity and in the various measures of activity at their plants. The diffusion indexes in the MBOS represent the percentage of respondents indicating an increase minus the percentage indicating a decrease. The indexes range from -100 to +100 with positive values indicating an increase in activity. The series from the survey dating back to May 1968 can be found in Haver’s **SURVEYS** database. The expectations forecast figures are from the Action Economics Forecast Survey in **AS1REPNA**.

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- Current General Activity Index up 10.7 pts. to 10.3 in June; fifth rise in six months.
- New Orders (27.3), sixth expansion in seven mths.; Shipments (14.9), seventh straight expansion; Unfilled Orders (10.5), first expansion since July ’25.
- Employment (7.9), a five-month high after two mths. of contraction.
- Inflation indicators: Prices Paid up (53.2); Prices Received down (20.3, a four-month low).
- Future General Activity Index down to a still-expansion-level 50.2; most subindexes up and positive; future price indexes remaining above long-run avgs.

U.S. Philadelphia Fed Index Returns to Positive Territory in June

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Unemployment in the European Monetary Union stayed at 6.3% in April, just a tick above its all-time low. In the more inclusive EU, the unemployment rate hovered at 6%, just two tenths of a percentage point above its all-time low. Unemployment conditions in the monetary union remain low without many signs of acceleration.

The unemployment rate in April fell in Italy, Ireland, Greece, Portugal, and the Netherlands. The unemployment rate increased month-to-month in Finland.

In March, the unemployment rate declined in Austria, Belgium, Germany, Finland, Italy, and the Netherlands. It rose month-to-month in Greece and Luxembourg.

Over three months, the unemployment rate in these 12-early reporting monetary union members fell in five countries: Belgium, Germany, Italy, Ireland, and the Netherlands. In contrast, unemployment rose in five countries: Portugal, Greece, France, Finland, and Austria.

Over six months, unemployment rates fell in six countries: the Netherlands, Portugal, Italy, Germany, Belgium, and Austria. This was against increases in six countries: Greece, Finland, France, Luxembourg, Spain, and Ireland.

Year over year, the degree of inflation progress is much thinner, with the unemployment rates falling in only three countries Italy, Spain, and Portugal with increases in unemployment for all the other countries in the table.

Unemployment rates continue to rank low in the monetary union, with only three monetary union countries having their unemployment rates ranked above 50%, putting them above their respective medians on data back to the year 2000. Those three countries are Luxembourg, Finland, and Austria. For the remaining countries, the rankings of their unemployment rates over this period are not even as high as their 30th percentiles. Italy, at present, is experiencing its lowest unemployment rate of the period.

Unemployment conditions in the monetary union remain solid. The past two weeks were significant for monetary policy and global economics, with the ECB raising rates, Japan raising rates, and the United States keeping rates unchanged but moving away from an easing bias in policy that had been in effect for quite a number of months. Today the Bank of England, after experiencing some significant inflation progress, decided to keep its policy on hold for another session. An agreement between the U.S. and Iran securing an opening of the Strait of Hormuz was signed, paving the way for potentially improved oil flows, lower inflation, and less uncertainty in the period ahead.

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Europe

EMU Unemployment Remains Low

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The advance estimate of the U.S. international trade deficit in goods ballooned to a larger-than-expected $105.75 billion in May after narrowing to $83.01 billion in April, according to data from the U.S. Census Bureau. The May reading, the third widening in the goods trade deficit in four months, was larger than a $91.55 billion shortfall in May 2025. A deficit of $84.0 billion for May had been expected by the Action Economics Forecast Survey. The deficit hit a low of $61.44 billion in October 2025 (the smallest since February 2020) and a record high of $158.73 billion in March 2025. On a quarterly basis, the deficit averaged $94.38 billion so far in Q2'26 versus $81.96 billion in Q1'26.

Total goods exports fell 5.4% m/m (+14.7% y/y) to $207.67 billion in May, the first monthly fall since December and a three-month low, following a 3.8% rise to a record-high $219.52 billion in April. Exports were up 27.7% from a June 2023 low. The m/m fall in exports in May reflected declines of 9.2% (-5.0% y/y) in nonfood consumer goods excluding autos, 7.0% (+23.2% y/y) in industrial supplies & materials, 6.8% (+19.5% y/y) in other goods, and 5.0% (+14.8% y/y) in capital goods excluding autos. To the upside, exports of foods, feeds & beverages (+3.9%; +19.1% y/y) and automotive vehicles & parts (+0.5%; -3.6% y/y) rebounded m/m in May.

Total goods imports, up for the fourth consecutive month, rose 3.6% m/m (15.0% y/y) to $313.43 billion in May, after a 2.0% increase to $302.53 billion in April, marking the highest level since the March 2025 record high of $340.11 billion. Imports were up 25.0% from a March 2023 low. The m/m rise in imports in May was broad-based across all end-use categories, led by an 11.5% gain (22.0% y/y) in other goods, followed by increases of 6.3% (1.4% y/y) in automotive vehicles & parts, 5.7% (-9.1% y/y) in nonfood consumer goods excluding autos, 4.8% (11.7% y/y) in industrial supplies & materials, 4.3% (-0.2% y/y) in foods, feeds & beverages, and 0.4% (41.9% y/y) in capital goods excluding autos. 

The advance international trade data can be found in Haver's **USECON** database. The expectation figure is from the Action Economics Forecast Survey, which is in **AS1REPNA**.

- Deficit: $105.75 bil. in May, up $22.75 bil. (+27.4%) from April’s $83.01 bil.
- Exports -5.4%, first m/m decline since Dec., led by a 9.2% drop in nonauto consumer goods exports.
- Imports +3.6%, fourth straight m/m rise to highest level since Mar. ’25, driven by an 11.5% gain in imports of other goods.

U.S. Goods Trade Deficit Balloons in May, Largest Since March ’25

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**EMERGEMA** → **Qatar** → Employment and Earnings → Economically Active Population by Occupation

Additional detail for Qatar's economically active population has been added to **EMERGEMA**. The table offers a breakdown of the economically active population (15 years and older) by occupation, gender and nationality (Qatari vs Non-Qatari). Annual data are sourced from the National Planning Council and begin in 2017.

Chart: Qatar's economically active population is defined by its expat dominance where non-Qataris represent approximately 94% of the total. Expats are primarily concentrated in construction, craft trades, domestic work, and other unskilled or limited skill occupations while 60% of Qatari citizens work in highly skilled professional, managerial, and public administration roles vs 25% of expats working in comparable roles, however, this is up from 16% only five years ago.

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**CANADA** → International Trade → Merchandise Trade by Principal Trading Partner and Mode of Transport

Merchandise trade by mode of transport for Canada was added to the **CANADA** database. Available modes of transport include by road, rail, water, air, and other. Other includes mostly pipeline cross-border trade. These value data in CAD are available for 27 of Canada’s principal trading partners. Monthly data are sourced from Statistics Canada and start in January 1988.

Chart: Canada-US trade is dominated by trucking, which handles more than half of cross-border value. Rail handles about 14% of export value but accounts for 50% of tonnage (mainly bulk raw materials). Maritime and air freight are generally reserved for specific types of trade. Pipelines transport massive volumes of energy products and have an inverse relationship with road transport – most movements can be directly tied to pipelines coming online or fluctuations in energy prices.

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Featured Data Additions, June 17, 2026

**EMERGEPR** → **South Korea** → Financial → Money, Banking and Credit → Substandard or Below Loans

Substandard or below (SBL) bank loan detail for South Korea was added to the **EMERGEPR** database. SBL totals, resolved SBL, and SBL ratios by sector are available on this table. Quarterly data are sourced from the Financial Supervisory Service and begin in Q1 2008.

Chart: SBLs in Korea recorded their highest levels since Q2 2019. Some 5.5 tril won in loans were newly classified as soured in Q1, down 400 bil from Q4. Banks wrote off 4.4 tril worth of bad loans, down 1.3 tril. Business loan SBL ratios registered 0.74%, up 0.04 ppt. HH loan SBL ratio came in at 0.32%, also up 0.01 ppt. Despite an increase in absolute terms, the overall SBL ratio remains relatively stable at 0.6%, safely kept in check by bank write-offs and aggressive settlements.

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