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

Retail gasoline price still well above pre-conflict level and now rising again

Winnie Tapasanun

260714T36.jpg

260714U36.jpg

The NFIB Small Business Optimism Index rose to 97.4 in June, the highest level since February, after a 0.6-point decline to 95.3 in May, according to the Small Business Economic Trends survey conducted by the National Federation of Independent Business. The index was slightly below its 52-year average of 98.0 for the fourth consecutive month and down from a peak of 105.1 in December 2024, albeit above a low of 88.5 in March 2024. Seven of the 10 index components rose, while three fell. Meanwhile, the NFIB Small Business Uncertainty Index edged down to 89 in June following a three-point increase to 91 in May, remaining well above its historical average of 68. The index was below its record high of 110 in October 2024 but above its recent low of 84 in December 2025 and a low of 65 in November 2023.

The outlook for business conditions in the next six months remained positive for the 20th straight month in the latest survey. The net balance of respondents expecting the economy to improve advanced to 13% in June, a four-month high, following a one-point decline to 3% in May; these readings were far below a high of 52% in December 2024 but significantly above a record low of -61% in June 2022. Expected real sales climbed to a net 9% in June, a five-month high, from 1% in May; the latest figure was below a high of 22% in December 2024 but above a low of -18% in August 2024. A net -4% of respondents reported higher nominal sales in the past three months, up from -5% in May and marking the highest reading in four months; the latest result remained above a low of -20% in October 2024 but below the recent positive reading of 1% in February and a peak of 9% in June 2021.

Plans to expand the business inched up to 8% in June from 7% in May and April; the latest figure was down from a high of 20% in December 2024 but up from a low of 2% in March 2023. Plans to make capital outlays rebounded to 20% in June from 16% in May; these numbers were still below a high of 28% in November 2024 and a peak of 31% in October 2021. Expected credit conditions slipped to -5% in June, a three-month low, from -3% in May; this result was slightly below a high of -2% in December 2024 but above a low of -11% in November 2023. Meanwhile, a net 0% of respondents viewed current inventory stocks as “too low” in June, up from -4% in May and matching the highest reading since August 2025 (also 0%); the positive reading of 1% was recorded in May 2025.

On the labor front, 51% of respondents reported that qualified workers to fill job openings were hard to find in June, up from 46% in May and registering the highest level since September 2024. These numbers were above a low of 43% in August 2025 but below a high of 56% in August 2024 and a peak of 62% in September 2021. A net 11% planned to increase employment in June, up from 9% in May; it matched a low of 11% in March 2024 but remained below its recent high of 19% in November 2025 and a peak of 32% in August 2021. Notably, 32% reported positions not able to be filled in June, up from 29% in May (the lowest level since May 2020); these figures remained below a high of 51% in May 2022.

Overall earnings trends had remained in negative territory since December 2019. The measure fell to -20% in June, the lowest level in three months, following a four-point increase to -15% in May. These readings were below the most recent high of -14% in February and a high of -5% in June 2021 but above a low of -37% in August 2024,

On the pricing front, actual and expected selling prices remained at an inflationary level, indicating continued inflationary pressures. The net percent of firms raising their average selling prices rose to 38% in June, the highest reading since February 2023, after a six-point increase to 36% in May. The latest reading was up from a low of 20% in August 2024 but well below a peak of 66% in March 2022. The percentage planning to raise prices eased to a still-elevated 32% in June following a seven-point rise to 34% in May (the highest level since November 2023); these readings remained above a low of 21% in April 2023.

Wage inflation remained relatively high in the June survey. A net 28% of respondents raised compensation during the last three months, down from 31% in May and marking the lowest since November 2025. It was also below a high of 46% in February 2023 and a peak of 50% in January 2022. A net 17% of firms planned to raise worker compensation in the next three months, slightly down from 18% in May and matching the lowest reading since July 2025; this remained below highs of 28% in November 2024, 30% in November 2023, and 32% in October 2022.

Inflation was cited as the single most important problem facing small businesses, as reported by 21% of NFIB members in June, up from 18% in May and representing the highest since October 2024; these readings were well below a peak of 37% in July 2022. Taxes ranked second as the next most important problem (alongside labor quality), as reported by 19% of respondents in June, unchanged from May. Labor quality also remained a key challenge for small businesses, as reported by 19% of respondents in June—the highest since December—compared with 13% in May (the lowest level since December 2016). Other concerns (in June vs. May) included labor costs (8% vs. 14%), government requirements (8% vs. 10%), insurance cost/availability (8% vs. 8%), poor sales (7% vs. 7%), and competition from large businesses (5% vs. 6%).

According to the Small Business Administration, there are 33 million small businesses in the United States, which employ 62 million workers. The NFIB surveys anywhere from 500 to 2000 respondents each month and the typical firm employs 10 people and reports gross sales of about $500,000 a year. The NFIB figures can be found in Haver’s **SURVEYS** database.

260714V36.jpg

260714W36.jpg

- Uncertainty Idx down 2 pts. to 89, remaining well above the historical avg. of 68.
- Expectations for economy up 10 pts. to 13%, a four-month high.
- Expected real sales up 8 pts. to 9%, a five-month high.
- Plans to expand business up 1 pt. to 8%, highest in three mths.
- Firms raising avg. selling prices up 2 pts. to 38%, highest since Feb. ’23.
- Top three business concerns: inflation (21%), taxes (19%), and labor quality (19%).

U.S. NFIB Small Business Optimism Rebounds in June to a Four-Month High

Robert Brusca

260714E.jpg

Industrial production in Japan fell by 0.5% in May after rising by 0.7% in April and declining by 0.2% in March. Manufacturing output rose by 0.1% in May after rising by 0.4% in April and declining by 0.3% in March. Total industrial output shows a 0.7% gain over 12 months, a 3.4% annual rate gain over six months, and zero change in output over three months. For manufacturing, 12-month output is up 0.7%; over six months, output is up at a 6.1% annual rate; and over three months, output is up by 0.8% at an annual rate.

These trends show that output continues to grow for manufacturing as well for total industry, but not by a great margin. In fact, there are still a number of industries still fighting off negative trends, such as textiles, where output falls over three months, six months, and 12 months, as well as investment goods and mining, both of which show declines over three months, six months and 12 months. One year ago, all of these sectors were showing year-over-year declines except for manufacturing, which was up by 0.5% over 12 months. Manufacturing output is now up by 0.7% year-over-year, with consumer goods up by 1.8%, intermediate goods output up by 2%, and investment goods falling by 3%. Japan is currently trying to fight off a legacy of weakness. The strength of the rebound is being borne by consumer goods and intermediate goods, with investment goods undergoing significant contractive effects.

Manufacturing is showing gains on all three sequential horizons. Utilities output is showing growth on each horizon, and actually shows gathering strength, rising by 0.9% over 12 months, at a 1.4% annual rate over six months, and at a very strong 7.9% annual rate over three months.

In the quarter-to-date (QTD) basis, most of these sectors are losing the battle against weakness, with most industry or sectors showing declines two months into the new quarter. Overall output declines at a 0.2% annual rate. Manufacturing output falls at a 2.2% annual rate, intermediate goods output falls at a 0.2% annual rate, and investment goods output falls at a 7.2% annual rate. The only exception is consumer goods output, which is rising at a solid 5.3% annual rate, but that's not strong enough to drag all of industrial output or even manufacturing into the plus column.

Manufacturing output currently is at about 87.7% of its past peak. Activity in electric and gas utilities are at 90.4% of their past peak, while mining is only at 59.6% of its past peak of activity. Comparing levels of output to where they were in January 2020, manufacturing is at 94% of that value, with total industry also at 94% of that value. Consumer goods are at 98% of that value, intermediate goods at 92%, and investment goods at 93%. Mining is only at 74% of its January 2020 value, while electric and gas utilities have moved beyond the January 2020 level and are 3.3% higher than they were and early 2020.

Since 2020, it has been a relatively difficult time for the global economy. The Japanese statistics show only one sector that has managed to create positive growth compared to its level in January 2020. The current month is a mix of plus-and-minus activity changes. Sequential trends generally show more positives than negatives, but there are still a lot of negatives in train that keep Japanese manufacturing from reaching clearly solid footing. When the Strait of Hormuz opened, it appeared that Japan would be in a position to build on its recovery, but now, with the failed peace agreement and failed ceasefire, the strait once again has been closed and the outlook is shrouded in negativity.

260714.jpg

Japan

Japan’s IP Is Fighting Off Weak Trends

Industrial output in Norway fell by 1% in May after rising by 0.6 in April and falling by 1.1% in March. The seesaw act for output continues. Over broader horizons, however, output is falling. It falls by 0.1% over 12 months, falls at a 1.1% annual rate over six months, and falls at a 6.2% annual rate over three months, giving us a clear sequential trend toward falling and decelerating output. Utilities output has chaotic trends, as do mining and quarrying; however, manufacturing shows a clear trend toward output acceleration, with a 2.1% output increase over 12 months, a 2.6% annual rate rise over six months, and a 9% annual rate increase over three months.

Manufacturing sectors show consumer goods output increasing in May, also showing secular acceleration from 12 months to six months to three months. Durable goods, however, are the fly in the ointment, with output up 2.2% over 12 months, accelerating over six months, and then dropping at a 20.4% annual rate over three months. However, consumer nondurables show growth and acceleration, with a 12-month gain of 1.8%, rising to a 3.6% annual rate increase over six months and a 10.9% annual rate increase over three months. Intermediate goods output trends return to more difficult times and show declines over 12 months, six months, and three months, but not a clear path of deceleration. Capital goods output is up 5.4% over 12 months and at an 8.5% annual rate over three months, but there is an intervening soft spot with output up at only a 3.4% annual rate over six months.

Against this background, inflation in Norway showed solid increases in May, rising by 0.2% overall and by 0.3% for the core HICP. However, sequentially inflation gains 3% over 12 months, rises at a 3.8% annual rate over six months, and then backs down to a 1.2% annual rate over three months. The core HICP is steadier, with a 3.4% gain over 12 months, rising to a 3.8% annual rate over six months, and then backing down to 3.2% at an annual rate over three months. That's a set of growth rates that are more stable than either accelerating or decelerating.

In the quarter-to-date (QTD) basis, industrial production is falling 4.6%; this is two months into the second quarter. On the other hand, manufacturing output is rising QTD at a 4.9% annual rate, with consumer nondurables showing strong positive growth along with intermediate goods output. There is a solid gain of 3.1% at an annual rate from capital goods. The QTD inflation trends remain somewhat mixed, with a weak headline showing a 1.6% annual rate, against a core HICP at a 3.4% annual rate rise, the latter gain being well in step with its sequential results.

The far right-hand column compares industrial production over the broad period from just before COVID (in January 2020) looking at the ratio of the level of output in May 2026 to its index value in January 2020. Remember that IP data are inflation-adjusted, so these are real data. Over this span, industrial production excluding construction is up by approximately 10%, with utilities output up at about 21%, mining and quarrying up about 5%, and manufacturing up a little more than 7%. This is a 5½-year period. Consumer goods output is up by 2.7%, led by consumer nondurables which rise 4.1% on the period and against durable goods output where there is a decline of about 13% on that timeline. Intermediate goods output drops slightly on the timeline by less than half a percentage point, while capital goods output is up at a solid and strong 23% gain. Looking at prices over the same period, the headline HICP is higher by 27% while the core is higher by 24%.

The weakened output shows the stresses and strains of the period, with weak gains in place over the last 5½ years and with the consumer showing considerable wear and tear, leaving consumer goods output lower on balance over this 5½-year span. It hasn't been such a bad time for capital goods, where output rose by 23% over the period. Inflation got out-of-the-box and grew quite strongly. The headline HICP grew by 27% since January 2020, a duration of time during which, sticking to its target, would have implied a gain in the price level of only 11.5%.

**Ongoing overshooting**
Even now central banks are trying to decide how to come to grips with the inflation pressures from that. Pressures continue to linger and threaten the economies. Of course, there are some new factors in place, but that's the nature of inflation: if it's not one thing, it's something else. And failing to respond to the one thing means that you're going to get hit even worse when it becomes something else. This is the lesson the central banks haven't learned during this period. 

**Have central banks learned their lesson?**
Noting that inflation is over target and then forecasting that it's going to come back down to target over some period ahead puts the inflation performance at risk to whatever happens between now and the end of that period ‘ahead.’ If that forecast isn't perfectly right and if there's something else that disturbs the path of prices, what will happen is that an inflation that is already over the top of the target will push even farther over the top of the target and the dilemma faced by the central bank will become even worse. This is why kicking the can down the road generally is not a very good strategy, but it's one that virtually all the central banks pursued in the wake of COVID. So, will central bankers come to see inflation that is here and now as a here-and-now problem to be addressed here and now, or as a candidate for tomorrow land? The ECB seems to be changing, and the Fed has formed task forces. What about Norway and the rest of the world? Norway did push its target rate up as the ECB hiked. But what is its plan?

260713.jpg

Norway

Norwegian IP Struggles, but Manufacturing Shows Some Strength

Tian Yong Woon

In this week's Letter, we examine the underbelly of the AI boom, the risks that sit beneath its optimism. Start with the public mood: American concern about AI has grown alongside adoption over the past three to four years (chart 1). Those worries span mass job displacement, misuse of top-end models by bad actors, and fears of being left behind. The first of these is already surfacing: in June, AI was again the most cited reason for announced US layoffs, with year-to-date AI-linked cuts above 100,000 (chart 2). Technology led all sectors in overall cuts, though the data do not isolate how many were AI-driven. Among those hit, the young are arguably the most exposed to these labour effects. They enter a labour pool swollen by displaced professionals, just as AI masters the entry-level tasks where they would start. India and Indonesia illustrate the stakes on youth NEET, the share not in education, employment, or training, both above 20% and among Asia's highest (chart 3). Beyond the labour market, the same optimism reshapes asset prices. The rally has lifted AI-related valuations to historic highs and concentrated a few names in cap-weighted indexes (chart 4). That raises correlation and the risk of a sharper index fall should the rally unravel. The same concentration runs through economies via exports, from Taiwan's advanced chips to South Korea's memory (chart 5). Its footprint is physical too, and cuts both ways: data-centre investment has lifted growth in Johor, Malaysia (chart 6) while straining local power and water. None of this argues against riding the AI wave, which still promises real productivity and welfare gains. Rather, these are caveats that investors and policymakers must keep in view, since the story is not all upside.

**AI-related concerns**
AI adoption has exploded over the past three to four years, and Americans' concerns have risen alongside it (chart 1). That is understandable, given how advanced and broad AI's proven applications have become. They now span everyday tasks and subject-specific work across fields such as finance and production, as well as tech and development, the sector AI was born in. Major concerns run from mass AI-induced job displacement to a more recent fear, that top-end models fall into the wrong hands and are used by bad actors. A further worry is distributional: AI advances are powerful and could deliver leaps in productivity, yet they may also leave many people behind. Those most exposed include workers already displaced from their jobs and people facing scarcer basic resources as AI demand competes for them. Others simply lack equitable access to AI tools or their benefits.

260713T1.jpg

**AI-driven job displacement**
Some of the fears US workers first had about AI-driven job displacement are already playing out. In June, AI was again the most cited reason for announced job cuts in the US (chart 2). That pushed year-to-date job cuts attributed to AI above 100,000, more than half of all AI-tagged cuts since AI became a selectable reason in 2023. The data come from the latest survey by Challenger, Gray & Christmas. This likely reflects AI's disproportionately heavy impact on certain industries such as technology, which again led all sectors in cuts. At the same time, announced hiring plans stayed subdued, leaving laid-off workers with limited opportunities to find new roles. All of this is occurring even as market valuations remain elevated on the broader wave of AI optimism.

260713T2.jpg

**AI and youth unemployment**
Arguably among those bearing the brunt of these labour-related effects are the youth. Many have graduated on a curriculum built largely for a pre-AI era. They now enter a labour pool swollen by experienced professionals whom AI has displaced. At the same time, AI is proving especially capable at the entry-level tasks on which young workers usually start. An elevated youth unemployment rate only intensifies the competition young people face for gainful employment. On the broader NEET measure, which also captures youth who are neither working nor studying, India and Indonesia stand out. On the latest available WDI data, both have youth NEET rates above 20%, among the highest in Asia and above the global average (chart 3). Should employers in these economies adopt AI aggressively across processes and production, including physical AI such as humanoid robots, the problem could worsen. Yet firms that stay purely labour-intensive risk losing out to rivals using more efficient, and perhaps cheaper, AI-driven methods.

260713T3.jpg

**Concentration risk**
The recent wave of AI optimism has pushed the equity valuations of major AI developers and AI-related goods producers to historically high levels. These gains are partly backed by strong earnings and upbeat forward guidance. Most major indexes are weighted by market capitalisation, so a counter's weight tracks its price. As these counters have outperformed their peers (chart 4), their index weight has risen close to mechanically, when holding the number of shares constant. This raises concentration risk, since a small group of counters now carries more of the index and moves it more closely. So, if the rally in these counters were to unravel deeply, it would drag the broader index down more heavily with it.

260713T4.jpg

AI-related concentration risk is not confined to equity indexes; it also shows up in the growth of major economies. In Asia, that risk usually runs through a country's exports. Take Taiwan, the world's largest advanced semiconductor exporter, as an example. As chart 5 shows, its recent export growth has come more than entirely from integrated circuits and from infocomm and audiovisual equipment. Other goods categories have often contributed negatively in recent months. This is good news for the Taiwanese economy, which sits right at the centre of the global AI boom. Yet it is also a source of concentration risk, should AI-related goods demand collapse or substantial alternative supply emerge elsewhere. A similar story applies to South Korea, through its role in supplying high-end memory chips.

260713T5.jpg

**Data centres, energy, and water**
Finally, rapidly advancing AI promises major productivity gains and broad improvements to daily life. Yet AI infrastructure rests on resource-intensive inputs: the energy needed for data centre compute, and the water needed to cool those centres. Both may deprive real people of the very resources they need to survive. One recent hotspot is Malaysia, which has courted a wave of foreign direct investment to expand its data centre footprint in the state of Johor. These capital inflows are welcome, and have lifted state-level growth through the construction sector (chart 6). But they have also raised concerns about straining local grids and water supplies, possibly leaving less for residents. Among estimates, a recent one puts data centres at around 40% of Johor's electricity demand by 2035. That is pressuring the state to expand generation capacity and grid access to match the data centre pipeline already in place. Its neighbour Singapore faced similar strains earlier, and has since repositioned itself as a hub for the most advanced and efficient data centres, partly because of its severe land constraints. 

260713T6.jpg

Asia

Economic Letter from Asia: The AI Underbelly

260710E.jpg

Manufacturing output in the countries of the European Monetary Union continues to underperform. The median change for the 11 countries reporting on the table is a 0.5% decline in May following a 0.3% increase in April. However, only 41.7% of the reporters are accelerating in May, compared to 25% in April, although in March over half of the reporters had showed some acceleration, with output at 61.5%.

In May, of these eleven early reporters, seven showed month-to-month declines in output. This compares to four showing declines in April and four showing declines in March.

**Sequential trends**
Over 12 months, output is declining in four of these eleven countries: Germany, Luxembourg, Ireland, and Portugal. Over six months, output declines in five of the eleven countries. Over three months, output declines in four of the eleven countries. Over these broader sequential periods, output is increasing in most cases; only one country, Ireland, shows consistent declines in output over three months, six months, and 12 months. However, among EMU countries, only Italy shows output expanding on all three timelines, although Sweden, an EU member country, also shows output increasing in all three periods.

Amid the output weakness in May, the quarter-to-date calculation for industrial production growth is also broadly weak. In May, seven of the eleven quarter-to-date changes in industrial production are negative. Positive results, increases in the quarter-to-date, are registered by Germany, Luxembourg, Greece, and Portugal.

The ranking of the year-over-year growth rates shows seven countries with output growth rate rankings below 50%, marking them as below their respective medians. The comparisons for output growth are taken back to 2006, a period of about 20 years.

Four EMU countries rank above their twenty-year medians: France, Italy, Luxembourg, and Greece.

The snapshot of industry in the monetary union is consistent, showing little momentum, little strength, and relatively low rankings for current growth rates; only a minority of reporters show an acceleration in growth in May compared to April. With the situation in the Strait of Hormuz deteriorating again, the outlook for industrial production has to remain guarded.

260710.jpg

Europe

Industrial Sector Remains Under Pressure in EMU

Andrew Cates

**Growth Surprises Continue to Underpin Equity Resilience**
Global equity markets have proved remarkably resilient in recent weeks, shrugging off intermittent bouts of geopolitical and policy uncertainty to grind higher. Chart 1 below helps explain why: it tracks the relationship between global growth-versus-inflation surprises and world equity markets, and on that measure the recent run of global growth data has continued to surprise on the upside relative to inflation outturns — a combination that has historically been supportive for risk assets. Whether that resilience persists will depend on whether the growth-surprise advantage evident in the chart below can be sustained in the face of the inflationary pressures explored below.

260709Z1.jpg

**PMIs Confirm a Broadly Solid Global Expansion**
This week's final composite PMI readings for June reinforced the broader impression of resilient global growth. As chart 2 below shows, most major economies posted readings comfortably in expansionary territory, with India continuing to lead the pack and the US not far behind. Even the laggards in the sample are hovering close to the expansion threshold rather than falling decisively below it, suggesting stabilisation rather than outright contraction (and with the UK a notable exception).

260709Z2.jpg

**Inflation Surprises Are Creeping Back, and Bond Yields Are Taking Notice**
The US growth picture painted by Haver's surprise indices broadly echoes the message from the global PMI data. Chart 3 below shows the combined growth-and-inflation surprise index drifting higher this week, and closer inspection suggests growth is doing most of that work, with activity data continuing to outperform expectations. That is, on the face of it, good news. But it has not stopped bond markets from taking notice: short-dated Treasury yields have remained elevated in recent weeks, as stronger growth keeps alive the possibility that the Federal Reserve holds rates higher for longer or even lifts them in coming weeks.

260709Z3.jpg

**Supply Chains Are Tightening** 
Latest data show that global supply chain pressures tightened by less in June than they had the month before, likely reflecting the easing of Middle East tensions through much of the period. Chart 4 below shows that pressures troughed in the middle of last year and have been building gradually since, though June's slower pace of tightening suggests that easing had started to feed through. Still, today's flare-up threatens to undo that improvement, particularly if it affects shipping routes or energy flows through the region once again.

260709Z4.jpg

**Extreme Weather: An Old Supply-Side Risk Returns**
Geopolitics is not the only source of supply-side risk currently in play. Large parts of Europe have been gripped this week by another intense and prolonged heatwave, with temperatures in several major cities running well above seasonal norms. Extreme heat of this kind carries real economic costs: it depresses labour productivity, particularly in outdoor and manufacturing-adjacent sectors, strains electricity grids as air-conditioning demand spikes, and can disrupt agricultural output and river-based transport when water levels fall. Episodes like this have become more frequent in recent years, and while any single heatwave rarely shifts the macro picture on its own, the cumulative effect of more frequent and more severe weather events could start showing up in productivity and inflation data across the advanced economies. It is a reminder that the supply side of the global economy faces structural as well as cyclical challenges, and that climate-related disruption deserves a permanent place alongside geopolitics and demographics in any assessment of medium-term inflation risk.

260709Z5.jpg

**AI Investment: The Other Side of the Supply Equation**
Set against these supply-side headwinds is a genuinely positive structural development: the extraordinary scale of private investment now flowing into artificial intelligence. Chart 6 below shows just how sharply that investment has grown in recent years, reaching a fresh high last year. If even a fraction of that investment translates into genuine productivity gains, it could provide a meaningful long-run offset to the energy, climate and geopolitical constraints highlighted elsewhere in this week's charts. The scale of the bet now being placed on AI is large enough that it is beginning to show up in aggregate investment and capital expenditure data across the advanced economies, and it is likely to remain one of the defining structural themes shaping the global growth outlook over the remainder of this decade.

260709Z6.jpg

Global markets head into this week’s closing stages digesting a mixed set of signals. Last week's US non-farm payrolls report undershot expectations, adding to questions about the durability of the US labour market even as broader activity data have continued to hold up well. Compounding that picture, news broke today of renewed instability in the Middle East, reintroducing a geopolitical risk premium into markets just as investors had begun to look past it. Global equity markets have nonetheless remained resilient, continuing to track the broadly encouraging tone of incoming activity data (chart 1). That resilience was reinforced by a solid set of global PMIs across most major economies over the past few days (chart 2). Haver's surprise indices tell a similar story of positive growth momentum in the US, but with an important caveat: incoming inflation data have also been surprising to the upside, driven largely by higher oil prices  (chart 3). These inflation risks could persist moreover, as global supply chain pressures have picked up in recent months and today's flare-up in the Middle East threatens to add further strain (chart 4). The world economy remains vulnerable to other supply-side shocks too, such as the extreme heat gripping much of Europe this week (chart 5). Still, on the other side of the ledger the enormous scale of investment now flowing into artificial intelligence could be a genuine source of supply-side potential (chart 6).

<iframe data-testid="embed-iframe" style="border-radius:12px" src="https://open.spotify.com/embed/episode/0dl4LKZaL1oTC5UPIaqrA9?utm_source=generator&si=7aa69345dbfd4ac4" width="100%" height="152" frameBorder="0" allowfullscreen="" allow="autoplay; clipboard-write; encrypted-media; fullscreen; picture-in-picture" loading="lazy"></iframe> 

Charts of the Week: Growth Holds Firm

260709F57.jpg

260709G57.jpg

Existing home sales unexpectedly fell 2.4% m/m (+2.8% y/y) to 4.09 million units (SAAR) in June, the first monthly decline since March, following an upwardly revised 3.7% increase to 4.19 million in May (previously +3.2%; 4.17 mil.), according to the National Association of Realtors (NAR). The Action Economics Forecast Survey had expected June sales of 4.20 million units. Sales remained 36.4% below a high of 6.43 million in January 2022 and 38.0% below a peak of 6.60 million in January 2021. The June decline coincided with a rise in the average 30-year fixed mortgage rate to 6.49% in June, the highest since August 2025, after increasing to 6.44% in May, according to Freddie Mac. The sales figures are based on closings of sales contracts signed over the past couple of months.

Existing single-family home sales fell 2.4% (+3.3% y/y) to 3.73 million units in June, the first m/m fall in three months, following a 4.1% gain to 3.82 million in May, remaining 34.6% below a high of 5.70 million in January 2022. Sales of condos and co-ops decreased 2.7% (-2.7% y/y) to 360,000 in June, the lowest level since May 2025, after being unchanged m/m for the third successive month at 370,000, remaining 50.7% below a high of 730,000 in January 2022.

Regionally, June existing home sales declined m/m in all regions except the Northeast. Sales in the South dropped 3.6% (+3.8% y/y) to 1.89 million in June, a three-month low, after a 3.2% rise in May, and sales in the Midwest slid 3.0% (+2.1% y/y) to 980,000 following a 7.4% May advance; both posted the first m/m decrease in three months. Sales in the West fell 1.3% (+2.8% y/y) to 740,000, the lowest level since January, after being flat m/m at 750,000 in May. In contrast, sales in the Northeast increased 2.1% (0.0% y/y) to 480,000 after a 4.4% May gain. Notably, the South remained the dominant region, accounting for 46.2% of total U.S. existing home sales.

The median price of all existing homes (NSA) rose 2.2% (1.8% y/y) to $440,600 in June, the fifth consecutive m/m rise, on top of an upwardly revised 3.3% increase to $431,200 in May ($429,300 previously). Prices were 22.1% above a low of $360,800 in January 2023. The median price of an existing single-family home climbed 2.3% (1.8% y/y) to $446,400 in June, the fifth straight m/m increase, after a 3.4% advance to $436,400 in May. The median price of condos and co-ops, up for the sixth time in seven months, grew 0.6% (1.6% y/y) to $380,000 following a 1.0% May gain to $377,800. Regionally, overall prices rose m/m and y/y in June in the Northeast (+5.6%; +3.9% y/y), Midwest (+2.1%; +2.7% y/y), South (+1.0%; +0.9% y/y), and West (+0.8%; +0.9% y/y). All these price series were at their record highs.

Inventories of homes for sale fell m/m in June for the first time since December. The number of existing homes for sale (NSA) declined 0.6% (+1.3% y/y) to 1.56 million units following an upwardly revised 4.7% May rise to 1.57 million (the highest level since November 2019). The supply of homes on the market at the current selling rate (NSA) increased to 4.6 months in June from 4.5 months in May and April, matching the highest level since August 2025. A record low in supply of 1.6 months was in January 2022.

The data on existing home sales, prices and affordability are compiled by the National Association of Realtors. The data on single-family home sales extend back to February 1968. Total sales and price data and regional sales can be found in Haver's **USECON** database. Regional price and affordability data and national inventory data are available in the **REALTOR** database. Mortgage interest rates can be found in the **WEEKLY** database. The expectations figure is from the Action Economics Forecast Survey, reported in the **AS1REPNA** database.

260709H57.jpg

260709I57.jpg

- June sales -2.4% m/m to 4.09 mil., first drop in three mths.; +2.8% y/y, third straight y/y rise.
- Sales m/m down in the South (-3.6%), Midwest (-3.0%), and West (-1.3%); up in the Northeast (+2.1%).
- Sales y/y up in all regions except the Northeast w/ a flat reading.
- Median sales price +2.2% (+1.8% y/y) to $440,600, a record high.
- Unsold inventory -0.6% (+1.3% y/y) to 1.56 mil. units, first m/m decline since Dec.; 4.6 months' supply, highest since Aug. ’25.

U.S. Existing Home Sales Unexpectedly Fall in June from a Five-Month High

Kathleen Stephansen, CBE

260709A1.jpg

260709B1.jpg

Initial claims for unemployment insurance declined 2,000 to 215,000 in the week ending July 4, from 217,000 in the week ending June 27, revised from 215,000. The four-week average was 218,750 in the July 4 week, down from 222,500 in the week ending June 27. The Action Economics/Haver Analytics Survey looked for 218,000 claims to have been filed. 

The total number of unemployment insurance beneficiaries—also known as “continuing claims”—rose by 8,000 to 1.814 million in the week ending June 27, from 1.806 million in the week ending June 20, revised from 1.814 million. The four-week moving average rose to 1.808 million in the June 27 week from 1.801 million in the June 20 week. The insured unemployment rate was unchanged at 1.2% in the week of June 27. Except for a one-week dip to 1.1% in the week of April 25, the insured unemployment rate has been at 1.2% since the week of November 29, 2025.

The insured unemployment rate varied greatly across individual states and territories. In the week ending June 20, the highest unemployment rates were in Washington (2.03%), New Jersey (2.11%), Minnesota (2.15%), and Puerto Rico (2.45%). The lowest rates were in South Dakota (0.28%), Florida (0.35%), Alabama and North Carolina (both 0.41%), Louisiana (0.42%), and Arkansas (0.49%). Rates in other notable states include California (1.88%), Pennsylvania (1.63%), Illinois (1.58%), New York (1.52%), and Texas (1.12%). 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.

260709C1.jpg

260709D1.jpg

- New claims declined by 2,000 to 215,000 in the week ending July 4.
- Continuing claims rose by 8,000 to 1.814 million in the week ending June 27.
- The insured unemployment rate was unchanged at 1.2% in the week of June 27.

U.S. Initial Unemployment Claims Declined in the Week of July 4

Sandy Batten

large_260716N2.jpg

medium_260716N2.jpg

small_260716N2.jpg

thumbnail_260716N2.jpg

260716N2.jpg

large_260716O2.jpg

medium_260716O2.jpg

small_260716O2.jpg

thumbnail_260716O2.jpg

260716O2.jpg

The Current Activity Diffusion Index from the latest Manufacturing Business Outlook Survey (MBOS) conducted by the Federal Reserve Bank of Philadelphia jumped to 41.4 in July, its highest reading since November 2021, from 10.3 in June. The survey covers the third Federal Reserve District. A reading of 12.0 for July was expected by the Action Economics Forecast Survey. More than 53% of respondents reported increases (up from 32% last month), far exceeding the 12% reporting decreases (down from 22%); 24% of respondents reported no change in current activity (down from 45%). Survey responses were collected from July 6 to July 13.

The headline index is the answer to just one question: whether activity increased, decreased or was unchanged from the previous month. Haver Analytics calculates an ISM-adjusted current activity diffusion index from the five key components using the methodology employed to construct the national ISM index. This figure rose to 58.1 in July, the highest reading in a year and a half, from 53.1 in June and well above the critical 50 value that separates contraction from expansion.

For the component indexes, the new orders index rose to 37.0 in July, a nearly five-year high, from 27.3 in June with 50.4% of respondents reporting an increase in orders. The shipments index jumped to 33.7 in July from 14.9 in June with 44.7% of respondents reporting an increase. Delivery times lengthened meaningfully to 9.6 in July from -2.6 in June and -10.4 in May, pointing to incipient supply chain problems stemming from the escalated US-Iran conflict. Employment indicators strengthened in July with the number of employees index rising to 10.0, the highest reading since last December, from 7.9 in June. The average workweek index jumped to 14.0 in July from -6.5 in June.

Respondents continued to report elevated prices, both paid and received. The prices paid index edged up to 53.9 in July from 53.2 in June with 53.9% of respondents reporting paying higher input prices and none reporting a decrease. The prices received index rose to 27.4 in July from 20.3 in July but was still below the 33.5 reading in April just after the escalation of the US-Iran conflict. Twenty-seven percent of respondents reported receiving higher prices while none reported receiving lower prices.

The survey’s broad indicators for future activity continued to point to expectations for growth over the next six months, although readings moderated. The diffusion index for future general activity fell 16 points this month to 34.4. The future new orders index fell 26 points to 35.1, and the future shipments index decreased 21 points to 39.3. The firms continue to expect increases in employment over the next six months, but the future employment index inched down 1 point to 29.5. Both future price indexes declined but remained above their long-run averages: The future prices paid index moved down from 63.2 to 56.7, and the future prices received index dropped 26 points to 41.4. The index for future capital expenditures remained elevated but fell 11 points to 30.1.

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**.

large_260716P2.jpg

medium_260716P2.jpg

small_260716P2.jpg

thumbnail_260716P2.jpg

260716P2.jpg

large_260716Q2.jpg

medium_260716Q2.jpg

small_260716Q2.jpg

thumbnail_260716Q2.jpg

260716Q2.jpg

- The headline index jumped to 41.4 in July, much larger than expected and the highest reading since November 2021.
- The outsized increase was widespread across components with the ISM-adjusted index rising to 58.1, its highest reading since January 2025.
- Prices remained elevated but were little changed in July from June.
- Delivery times lengthened meaningfully, indicating some incipient supply chain problems.
- The survey’s broad indicators for future activity continued to suggest expectations for growth over the next six months, although most readings fell meaningfully.


U.S. Philly Fed Manufacturing Index Jumps in July

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. 

New York

Tokyo

London

Singapore

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.

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

U.S. Philly Fed Manufacturing Index Jumps in July

Recent Commentaries

U.S. Retail Sales in June Slowed by Drop in Gasoline Sales

Featured Data Additions, July 16, 2026

U.S. Producer Prices Fell in June

U.S. Empire State Manufacturing Index Rebounds Strongly in July

IP in EMU Remains Weak

June CPI: Cooling Energy Prices and a Restrained Core Component

Latest Releases

Graph of the Week

Retail gasoline price still well above pre-conflict level and now rising again

Economy in Brief

Viewpoints