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

260715J53.jpg

260715K53.jpg

The Empire State Manufacturing Index of General Business Conditions rose to a higher-than-expected 15.6 in July following a 13.9-point drop to 5.7 in June, according to the Empire State Manufacturing Survey released by the Federal Reserve Bank of New York. A reading of 8.6 for July had been expected in the Action Economics Forecast Survey. The positive July figure indicated that the business activity in New York State expanded for the fourth consecutive month and at a faster pace; it was a sharp improvement from 3.1 in July 2025 and a low of -29.7 in January 2024, though still below its most recent high of 19.6 in May and a high of 16.8 in November 2024. The percentage of respondents reporting an increase in general business conditions was 39.0% in July, up from 28.9% in June; the percentage reporting a decrease was 23.4%, up from June’s 23.2%. The latest survey was conducted between July 2 and July 10.

The headline index reflects the answer to a single question concerning the state of economic activity and is not calculated from the components. Haver Analytics calculates a composite index from the five major components, which is comparable to the ISM manufacturing index. This calculated index increased to 57.5 in July following a 4.6-point decline to 53.4 in June, representing the seventh straight expansion; it was modestly up from 54.1 in July 2025 and well above a low of 43.0 in January 2024. The index is the average of five diffusion indexes: new orders, shipments, employment, supplier deliveries and inventories, with equal weights (20% each).

In the latest survey, the new orders index jumped to 22.2 in July after a 19.2-point drop to 3.5 in June, marking the seventh consecutive expansion and a sharp improvement from a low of -30.7 in January 2024. The shipments index advanced to 24.4 in July, the highest level since April 2022, following a 10.3-point decrease to 8.6 in June; it was well above a low of -21.7 in April 2024. The unfilled orders index held at 5.0 in July and June after 4.9 in May, indicating unfilled orders expanded for the sixth straight month; the index reached its recent high of 10.8 in March and a low of -24.2 in January 2024. The inventories index increased to 4.0 in July following a 9.7-point decline to 0.0 in June, signaling inventories rose slightly this month after being unchanged. Meanwhile, the delivery times index rose to 13.0 in July from 11.9 in June, with 20.0% of respondents reporting longer delivery times and 7.0% reporting shorter times, indicating that delivery times continued to lengthen.

On the labor front, the number of employees index rose to 11.4 in July after a 1.3-point rebound to 9.6 in June, indicating that employment expanded for the sixth successive month and reached its highest level since December 2022. The index remained well above a low of -9.3 in December 2023 but below a peak of 24.9 in February 2022. In July, a higher 20.9% of respondents reported an increase in employment while 9.6% reported a decline. The average workweek index fell to 2.8 in July from 5.1 in June, remaining positive for the sixth straight month, albeit at a four-month low.

Inflation pressures eased in July but remained elevated. The prices paid index fell to 52.3 in July, the lowest level since April, after a 1.6-point decline to 61.0 in June. Although well below a peak of 84.9 in April 2022, the index remained above a low of 25.9 in December 2024 and a low of 20.8 in December 2023. In July, 55.4% of respondents reported higher prices paid while only 3.1% reported lower prices paid. The prices received index slid to 27.6 in July, a three-month low, from 31.4 in June. The index was above a low of 7.5 in December 2024 and a low of 7.7 in July 2023 but far below a high of 51.9 in March 2022. In July, 31.3% of respondents reported higher prices received while 3.6% reported lower prices received.

Firms remained fairly optimistic about the future business outlook in the latest survey. The index for future business conditions eased to 27.9 in July, the lowest level since April, after a 3.4-point decrease to 30.1 in June, with 49.9% of respondents expecting business conditions to improve over the next six months. Future new orders edged up to 33.2 in July, the highest level since February, from 32.5 in June, while future shipments slipped to 30.6 from 32.2. Growth in future employment slowed to 14.4, the lowest reading since December, from June’s 20.9. Capital spending plans remained positive for the ninth consecutive month in July, with the future capital expenditures index rising to 15.0 from June’s 10.9. Expected prices paid fell to 53.0 in July, the lowest level since March, from 59.4 in June, and expected prices received fell to 41.9, the lowest level since April, from 51.6.

The indexes in this report are diffusion indexes and measure the percentage of respondents indicating an increase minus the percentage indicating a decrease with zero separating expansion from contraction.

The New York Fed survey data are contained in Haver’s **SURVEYS** database. The expectations series is in Haver’s **AS1REPNA** database.

260715L53.jpg

260715M53.jpg

- General Business Conditions Index up 9.9 pts. to 15.6 in July; fourth straight expansion.
- Shipments (24.4), highest since Apr. ’22; new orders (22.2); unfilled orders (5.0); inventories (4.0).
- Employment (11.4), a solid reading and highest since Dec. ’22.
- Prices paid (52.3) and prices received (27.6) both at three-month lows.
- Firms fairly optimistic: Future Business Conditions Index down to a still-positive 27.9; future prices paid at a four-month-low 53.0.

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

Robert Brusca

260715E.jpg

Industrial production in the European Monetary Union (EMU) shows only a very minor and idiosyncratic sector acceleration in the nondurable goods sector. Other sectors show trends that are not focused and drift into random variability. Nondurable goods output shows growth of -10.9% over 12 months, improving to a pace of -9.9% over six months annualized and improving further to -8.7% annualized over three months. The irony is that nondurable output is contracting over all these periods, but the contractions are becoming slightly less virulent. It is nothing to base any optimism on despite the technically ‘improving’ trend.

Total output and manufacturing output in the EMU each show strong gains annualized over three months after declines on balance over six months and 12 months. 

While the secular trends are not clear in showing persistent accelerations or decelerations for the most part, it's true that output across the consumer industries continues to show contraction on all timelines. When we move to intermediate goods and capital goods, we're looking at output showing increases over 12 months, six months, and three months. Even if there are not clear progressions, the persistence of output gains is notable. This again underscores the extent to which expansion is being carried ahead by business and not by the consumer, even in Europe.

On a quarter-to-date (QTD) basis (two months into the second quarter), output is generally showing increases, with the exception of consumer durable goods showing an output decline at a 2.4% annual rate. Top-line growth is still very unimpressive, with total industrial production at a 0.6% annual growth rate and manufacturing alone at a 0.4% annual growth rate; neither of these is strong, solid, or impressive.

Turning to the percentile standing data that evaluate the strength of year-over-year growth on a historic timeline, we see that manufacturing and total output growth log percentile standings just below the 30th percentile. Consumer goods, as an aggregate category, have a 1.3% standing, which is extremely weak. That standing consists of a 29% standing for consumer durables and a 1.3 percentile standing for consumer nondurables output.

Once again, it is intermediate and capital goods that are the backbone of support for output. Intermediate goods’ annual growth rate has a 63-percentile standing, and the year-over-year growth rate for capital goods has a 52.9 percentile standing. Both being above the 50% mark puts them above their median for the period of analysis; that period extends back to August 2006, roughly a 20-year period.

I previously reported on the country detail. The country detail shows accelerating manufacturing output in Ireland, Portugal, and Sweden (Sweden that is not a monetary union member). Austria, a monetary union member, shows persistent deceleration, while the rest of the countries in the group show somewhat chaotic patterns.

While the percentile standing for year-over-year growth in manufacturing is at the 27th percentile mark for the whole of the monetary union, that amalgamation includes size weighting for that evaluation. If we take the unweighted averages for the percentile standings for 11 of the oldest monetary union members, their average individual ranking is much higher at a 48.3 percentile mark. Clearly, there are great differences by country across the monetary union, and this gives the ECB an additional headache in trying to make one monetary policy for such a varied group of economies.

260715.jpg

Europe

IP in EMU Remains Weak

Michael J. Moran

260714A.jpg

260714B.jpg

Most analysts were looking for a dip in the CPI because of a likely retreat in gasoline prices, but the published decline of 0.4% in the headline index was noticeably softer than the consensus estimate of -0.1%. Gasoline prices did not disappoint, with a drop of 9.7% offsetting approximately one-quarter of the cumulative surge in the prior three months. Prices of fuel oil fell almost as much as gasoline prices, and electricity charges contributed to the softness with a decline of 1.0%. The price of natural gas services was the only major energy item to increase in June (0.5%). All told, the energy component of the CPI fell 5.7% after climbing 19.6% in the prior three months.

The drop in energy prices was notable, but the core component provided a bigger surprise by posting a decline, the first since a series of three consecutive decreases during the pandemic. Before the pandemic-related retreat, the core component fell only twice from 1990 to 2019. The drop in June was minuscule (-0.02%), but the fact that it carried a minus sign was striking.

Both the goods and services components of the core index contributed to the restraint. Prices of goods other than food and energy fell 0.1%. The Bureau of Labor Statistics publishes six key subcategories of core goods, and five of them fell in June. Apparel prices stood out with a decline of 0.6%. Prices of core services were nearly unchanged at 0.03%, restrained by declines in medical services and motor vehicle insurance. Airfares, which showed upward pressure from rising fuel prices in the prior three months, posted a nondescript increase of 0.2%. The modest increase in the prices of core services led to a dip in the 12-month average increase after stepping up in April and May. The trend in core goods prices continued its gradual deceleration (chart, below right).

Food prices in June rose 0.2%, a reading comfortably within the range of the past few years.

The Consumer Price figures can be found in Haver's **USECON** database. The expectations figure is contained in the **AS1REPNA** database.

260714C.jpg

260714D.jpg

- The energy component retraced a portion of its surge in the prior three months.
- Prices excluding food and energy provided a surprise by posting a rare decline.

June CPI: Cooling Energy Prices and a Restrained Core Component

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

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

Industrial Sector Remains Under Pressure in EMU

large_260717A.jpg

medium_260717A.jpg

small_260717A.jpg

thumbnail_260717A.jpg

260717A.jpg

large_260717B.jpg

medium_260717B.jpg

small_260717B.jpg

thumbnail_260717B.jpg

260717B.jpg

Total housing starts jumped 19.0% in June, but the sharp advance was less impressive than it might appear. The increase reflected a striking gain of 76.2% in the multi-family sector, but the surge followed a soft month in May. Moreover, single-family building lost a bit of ground (off 0.2%).

The increase in multi-family starts was the fourth largest in the history of the series (data available from 1959). The change involved a large dose of random volatility, as it followed a drop of 39.6% in the prior month, which pushed the level of multi-family starts to the low end of the recent range. Still, the surge in June moved multi-family starts to the upper end of the range from the current cycle and reinforced the upward trend in multi-family activity.

The dip in single-family starts occurred from upwardly revised readings in both April and May (1.7% firmer than previously believed in both months). The revisions, although notable, were not strong enough to have a marked influence on the generally soft performance in the single-family sector. After trending lower during most of 2024 and 2025, single-family building has changed modestly in recent months. The upward revision in April and May gave an upward bump to single-family starts, but the underlying trend is still close to flat.

Building permits are less volatile than starts, and the higher degree of stability usually provides a clearer view of underlying trends. Overall, permits drifted lower during 2024 and 2025 before inching up in the first half of this year. The upward nudge in 2026 primarily reflects planned activity in multi-family building; single-family permits have been tracing a largely sideways trend (charts below).

In general, the housing sector has been soft in the past few years. Activity slowed noticeably in 2022 and 2023 in response to higher interest rates. (Mortgage rates rose from the neighborhood of 3.0% in 2021 to a peak of more than 8.0% in late 2023.) With higher interest rates generating affordability challenges, residential construction has constrained GDP growth in most recent quarters (negative contributions to GDP growth in 12 of the past 17 quarters; an average drag of 0.2 percentage point).

The housing starts and permits figures can be found in Haver’s **USECON** database. The expectations figure is contained in the **AS1REPNA** database.

large_260717C.jpg

medium_260717C.jpg

small_260717C.jpg

thumbnail_260717C.jpg

260717C.jpg

large_260717D.jpg

medium_260717D.jpg

small_260717D.jpg

thumbnail_260717D.jpg

260717D.jpg

- Multi-Family starts rebounded from a soft reading in May.
- Single-family activity dipped from upwardly revised levels; softish trend overall.

June Housing Starts: Contrasting Movements in Multi-Family and Single-Family

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.

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

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

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

Research

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

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

University

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

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

Discover Haver!

Data

Software

Connectivity

Research

University

Archive

World Economy Tracked for You

Diverse Data Sources

Driven By Quality

Global Data

Speed Matters

Economic Commentary

June Housing Starts: Contrasting Movements in Multi-Family and Single-Family

Recent Commentaries

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

U.S. Housing Market Index Falls in July; Third M/M Decline in Four Months

U.S. Philly Fed Manufacturing Index Jumps in July

EMU Trade Balance Swings to Deficit in May

Featured Data Additions, July 16, 2026

U.S. Producer Prices Fell in June

Latest Releases

Graph of the Week

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

Economy in Brief

Viewpoints