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

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

DLXVG3

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

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

Edit date ranges, archive data, apply functions

Excel Spreadsheet Add-ins

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

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Data Link Express

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HaverView

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

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MATLAB

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

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Stata

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

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

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

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RATS

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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

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Estimating autoregressions, granger causality tests, and impulse response functions

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

Estimating and forecasting with vector error correction models

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

Daniel L. Jerrett, Ph.D.

Abdel M. Zellou, Ph.D.

Bootcamp and Econometric Tools 1 & 2

Econometrics Training: Applied Time Series in R

Session 5: Multivariate Models Part 1

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

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

Proficiency working in Jupyter notebooks and the Python environment

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Remote Training: Applied Time Series in Python

US is big leader in global surge in private AI investment

Andrew Cates

**A Tug of War Between AI Hope and Geopolitical Shock**
The latest Blue Chip Economic Indicators survey highlights a growing divergence between economies benefiting from AI-driven optimism and those more exposed to the inflationary consequences of renewed geopolitical instability. Taiwan stands out as the clearest AI beneficiary, with growth forecasts revised sharply higher while inflation expectations have risen only modestly, reflecting surging semiconductor demand and continued investment in global technology supply chains. China also remains relatively resilient, supported by ongoing AI-related capital spending and stronger technology sectors. By contrast, the euro area and UK have seen much larger upward revisions to inflation forecasts alongside weaker or declining growth expectations, underscoring their greater vulnerability to the recent Middle East shock and higher energy costs. Korea sits somewhere in between: benefiting from the AI hardware cycle but still exposed to trade and energy headwinds. Overall, the chart illustrates the increasingly important push-and-pull shaping the global outlook: AI optimism and productivity hopes on one side, and geopolitical fragmentation, energy insecurity and supply-side inflation pressures on the other.

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**Forecasters See Contained Pass-Through**
Against this backdrop, our latest Blue Chip special question sought to gauge whether economists believe the recent rise in energy prices will remain largely contained — or whether it risks spilling more meaningfully into underlying global inflation dynamics. The results suggest forecasters have become somewhat less concerned about a broad and persistent inflationary impulse since April. A larger share of respondents in the May survey now expect only a “limited and temporary” pass-through into core inflation, while the proportion anticipating “moderate and persistent” effects has declined noticeably. Very few panelists expect significant second-round effects, implying that most still believe inflation expectations and wage-setting behaviour remain relatively well anchored. In part, this reflects confidence in central bank credibility and the view that softer global demand conditions will constrain firms’ pricing power. Yet the persistence of a sizeable minority still expecting moderate pass-through underscores the uncomfortable tension facing policymakers. 

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**Energy Reawakens as a US Inflation Driver**
While survey respondents generally expect only limited pass-through from higher energy prices into broader inflation, the latest US CPI data provide a reminder that the process may already be underway at the margin. April’s CPI report showed core inflation coming in slightly firmer than expected, suggesting underlying price pressures remain more persistent than many policymakers had hoped. The decomposition of CPI inflation highlights that services continue to dominate overall inflation dynamics, reflecting still-elevated wage and labour-intensive price pressures across the economy. However, the more notable recent development has been the renewed contribution from energy prices, which had previously acted as a disinflationary force through much of 2025. Food inflation has also remained comparatively steady, while non-energy goods prices continue to exert only modest upward pressure despite ongoing tariff and supply-chain concerns. Taken together, the data reinforce the idea that the US economy is not facing a classic demand collapse, but rather a more uncomfortable supply-side environment in which geopolitical energy shocks risk colliding with still-resilient domestic demand, AI-related investment spending and sticky service-sector inflation.

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**AI: The Powerful Counterweight to Geopolitical Headwinds**
If rising energy prices and geopolitical instability represent one major force shaping the current macroeconomic outlook, the extraordinary surge in AI-related investment represents the other. The latest data from Our World in Data show global private investment in AI accelerating sharply again in 2025, reaching close to $300 billion — more than double the level seen just two years earlier. The United States continues to dominate the global AI landscape, accounting for the overwhelming majority of private investment spending, while China and Europe remain considerably smaller contributors despite continued growth. The scale and speed of the 2025 increase is particularly striking given the broader backdrop of elevated policy uncertainty, trade fragmentation and concerns about slowing global productivity growth. In effect, the global economy is now being pulled in two competing directions: on one side, geopolitical tensions, supply-chain fragilities and more recent energy shocks are weighing on confidence and raising supply-side costs; on the other, AI enthusiasm is driving an enormous wave of capital expenditure, infrastructure build-out and technology-related demand. This helps explain why growth expectations — particularly in the US and parts of Asia — have remained comparatively resilient despite an increasingly uncertain global environment.

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**Industrial Winners and Losers in a Fragmenting Global Economy**
The divergence in industrial performance across advanced economies has become increasingly striking. Taiwan has emerged as one of the clearest beneficiaries of the global AI boom, with industrial production surging as semiconductor demand, data-centre investment and advanced electronics exports continue to accelerate. Denmark has also significantly outperformed, though for very different reasons, with the extraordinary global success of its pharmaceutical sector — particularly weight-loss and diabetes drugs — driving a powerful expansion in manufacturing output. By contrast, the UK and Germany have experienced a far weaker industrial recovery. In both cases, elevated energy costs and greater dependence on imported energy have weighed heavily on industrial competitiveness since the post-pandemic energy shock. Germany’s large manufacturing sector has been particularly exposed to higher natural gas prices and weaker external demand, while the UK has continued to struggle with a combination of high energy costs, weak productivity growth and subdued business investment. The chart highlights an increasingly important feature of the global economy: countries exposed to powerful structural growth themes such as AI or pharmaceuticals are pulling away from those still burdened by energy dependence and deteriorating industrial competitiveness.

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**China’s Pulse Is Picking Up Again**
China’s economic backdrop has shown clearer signs of improvement in recent months, with both the Citigroup Economic Surprise Index and the Yicai High Frequency Economic Activity Index moving higher. The rebound suggests that incoming data have begun consistently outperforming expectations after a prolonged period of disappointment. Part of the recent improvement likely reflects the cumulative effects of policy easing, including targeted fiscal support, infrastructure spending and further efforts to stabilise the property sector. Export demand has also remained more resilient than many expected, helped in part by the continued strength of global technology and AI-related supply chains. At the same time, improving domestic mobility and energy usage indicators point to firmer underlying activity momentum. The Yicai index itself is designed to provide a near real-time pulse of the Chinese economy using a basket of high-frequency indicators including subway usage, air pollution, coal consumption, freight activity, unemployment and bankruptcy trends. While China still faces significant structural headwinds — including weak household confidence, property-sector fragilities and deflationary pressures — the recent pickup suggests that growth momentum may be stabilising at a time when several other major economies are becoming more vulnerable to geopolitical and energy-related shocks.

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The global economy is still caught between two powerful and competing forces. On one side, the AI investment boom continues to support growth, industrial activity and equity markets, particularly in the US and parts of Asia. On the other, renewed Middle East tensions and higher energy prices are adding to inflation risks and broader policy uncertainty. The latest Blue Chip survey reflects this divide clearly: growth expectations have generally held up best in economies tied to AI-related investment and technology supply chains, while inflation forecasts have risen more sharply in more energy-exposed economies such as the UK and euro area (chart 1). Forecasters still largely expect only limited pass-through from higher energy prices into core inflation, although recent US CPI data suggest underlying price pressures remain somewhat sticky (charts 2 and 3). At the same time, the extraordinary continued surge in global AI investment — now approaching $300 billion annually — highlights the sheer scale of capital being deployed into semiconductors, data centres and digital infrastructure, particularly in the United States (chart 4). The divergence in industrial production trends also reinforces the growing gap between economies benefiting from structural growth drivers — such as Taiwan’s semiconductor sector and Denmark’s pharmaceutical industry — and those struggling with higher energy costs and weaker competitiveness, notably Germany and the UK (chart 5). Meanwhile, improving Chinese activity indicators suggest policy support and stronger technology demand may finally be helping to stabilise growth (chart 6). Overall, the world economy remains resilient, but increasingly uneven, with AI-related investment continuing to offset — though not eliminate — the drag from geopolitical fragmentation and rising energy insecurity.

Charts of the Week: The Tug of War

Sandy Batten

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Total retail sales rose a solid 0.5% m/m (4.9% y/y) in April on top of a slightly downwardly revised 1.6% monthly jump in March (previously 1.7%), according to data released by the U.S. Census Bureau. The Action Economics Forecast Survey looked for a 05% m/m gain. Excluding autos, other sales increased 0.7% m/m (6.3% y/y) in April following an unrevised 1.9% monthly jump in March. Expectations were for a 0.6% monthly increase. The strong performance in March and the additional solid gain in April put the April level up 7.8% at an annual rate from the Q1 average, providing a very solid start for Q2.

As expected, the continued rise in retail gasoline prices boosted gasoline sales further in April. Gasoline sales increased 2.8% m/m in April following a 13.7% m/m surge in March and accounted for more than 40% of the April increase in total sales. However, sales were solid even without gasoline sales. Total sales excluding gasoline rose 0.3% m/m in April versus a 0.7% monthly gain in March. Sales excluding both autos and gasoline increased 0.5% m/m in April following a 0.7% m/m rise in March.

The control group of sales (total sales excluding food services, autos, gasoline and building materials that the BEA uses to construct PCE in the national accounts) posted another solid increase in March, rising 0.5% m/m in April following an upwardly revised 0.8% m/m increase in March (previously (0.7% m/m). The solid performances of the control group sales in March and April provide a strong start to Q2. April control-group sales are 5.4% at an annual rate above the Q1 average, in line with the 5.7% annualized increase in Q1. Consumer spending remains surprisingly resilient notwithstanding the recent hit to disposable income from the marked increase in energy prices.

Sales across major sectors were varied in April. Consumers clearly spent more on necessities, owing largely to higher prices. Food sales increased 0.8% m/m in April on top of a 1.0% m/m rise in March. And as already noted, gasoline sales posted another outsized monthly increase. By contrast, department store sales slumped 3.2% m/m, clothing sales fell 1.5% m/m, auto sales declined 0.4% m/m and furniture sales fell 2.0% m/m. More encouragingly, sales of nonstore retailers rose 1.1% m/m, their fourth consecutive solid monthly gain. And sales at restaurants increased 0.6% m/m in April, their third consecutive monthly rise. Analysts frequently use restaurant sales as a barometer of consumer attitudes, believing that consumers would not eat out regularly if they were under serious financial stress.

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


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- Total sales increase 0.5% m/m in April after a 1.6% monthly jump in March.
- Gasoline sales rose 2.8% m/m in April on top of a 13.7% surge in March.
- Auto sales fell 0.4% m/m after a 0.6% m/m rise in March.
- Excluding auto and gasoline sales, remaining sales increased by a solid 0.5% m/m in April versus a 0.7% m/m rise in March.
- Sales of the retail control group that is used to construct PCE rose 0.5% m/m in April and are 5.4% annualized above the Q1 average, providing a good start to Q2.


U.S. Retail Sales Slowed in April But Remained Solid

Kathleen Stephansen, CBE

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Initial claims for unemployment insurance rose by 12,000 to 211,000 in the week ending May 9, from 199,000 in the week ending May 2, revised from 200,000. The four-week average rose 750 to 203,750 in the week ending May 9, from 203,000 the May 2 week, revised from 203,250. The Action Economics/Haver Analytics Survey looked for 205,000 claims to have been filed. 

The total number of unemployment insurance beneficiaries—also known as “continuing claims”—rose by 24,000 to 1.782 million in the week ending May 2, from 1.758 million in the week ending April 25, revised from 1.766 million. The four-week moving average declined to 1.781 million in the latest week from 1.788 million in the April 25 week. The four-week moving average reached the lowest level since May 2024. The insured unemployment rate rose back to 1.2% in the week of May 2 from the one-week dip to 1.1% in the April 25 week. It had 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 April 25, the highest unemployment rates were in Rhode Island (2.29%), New Jersey and Massachusetts (both 2.20%), and Washington (2.15%). The lowest rates were in Florida and Louisiana (both 0.31%), South Dakota (0.32%), Alabama and Arkansas (both 0.36%), North Carolina (0.38%), Tennessee (0.47%) and Iowa, Kansas and Virginia (all 0.48%). Rates in other notable states include California (1.99%), New York (1.66%), Illinois (1.56%), Pennsylvania (1.28%), and Texas (1.03%). 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.


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- New claims rose by 12,000 to 211,000.
- Continuing claims rose by 24,000 to 1.782 million.
- The insured unemployment rate was back up to 1.2% in the week of May 2, from the one-week dip to 1.1% the prior week.

U.S. Initial Unemployment Claims rose in the Week of May 9

Robert Brusca

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UK GDP grew by 2.5% in 2026-Q1. GDP growth quarterly was last this strong in 2024-Q2 and last stronger in 2024-Q1. This is the strongest quarterly growth in about two years. Private consumption surged in 2026-Q1, rising at a 2.4% annual rate. Capital formation and housing each backed off in the last two quarters. This is the opposite form the US where investment is strongly pushing growth ahead.

On the international side of the ledger, UK exports rose at a 0.4% annualized rate in the quarter while imports rose by a strong 2.6% annual rate, still, viewed on its own, domestic demand rose at a 3.2% annual rate.

Domestic demand growth has picked up to over 1% at 1.5% on a year-over-year basis. That is a good development. However, it is still a weak showing. Over the last 26 years domestic demand’s Year-on-year gain ranks at its 30th-percentiel; it has been weaker than this only about 30% of the time. But over the last nearly four-years the 1.5% gain is just below its median. This gives some indication of how weak growth has been in the post-Covid period. The UK was still in a post Brexit environment, when it had to deal with Covid, the invasion of Ukraine, and now the Middle East. At the same time, it has had a considerable amount of its own political turmoil and still does. 

The chart above shows the snake crawl of GDP that continues to depict growth in the EMU area. That is a continuing weak environment- one of the UK’s important export markets. Europe’s fixation on social welfare spending and the need to tax to pay for it has robbed the economy of its dynamism. Still, both the UK and the Euro-Area continue to have lingering inflation issues. And both show current inflation in an upswing. 

**Central bankers' inflation and growth** 
Central banks are playing a waiting game, the best that they can. Major money center country central banks have been consistently overshooting their inflation targets since Covid. And despite excess inflation banks have been reluctant to hike rates and have instead pursued a strategy of persisting slow rate reduction. It has been a curious period in which central banks have kept their inflation target goals but simply have been content to miss their targets in the short run and promise to thit them in the long run. This is clearly a policy of only temporary usefulness because it is bound to blow up, the longer inflation fails to be controlled at its targeted pace. For now, UK interest rates remain higher than in Europe, closer to the level in the US and with a monetary policy committee that seems determined to stop the overshoot as oil prices flare. We’ll see if the BOE MPC members are really ready to pull the trigger on higher rates as UK GDP growth looks firmer. 



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United Kingdom

UK Q1 GDP Growth Steps Up  

Michael J. Moran

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The Producer Price Index surged 1.4% in April, far in excess of the expected increase of 0.5%. Energy prices accounted for much of the increase with a jump of 7.8%, a much sharper change than the advance of 3.8% in the CPI. The marked difference between the energy components of the CPI and the PPI was primarily due to the nature of the customers. The Consumer Price Index, naturally, collects prices paid by individuals; the PPI, in addition to individuals, collects prices paid by businesses, governments, and exporters. Energy prices paid by governments and exporters rose sharply (12.1% and 15.8%, respectively). The PPI also showed a sharp increase in energy prices paid by individuals (6.1% versus 3.8% in the CPI).

Service prices also contributed to the high-side surprise in the PPI, posting an increase of 1.2%. This area often moves erratically, but still the latest move can be viewed as unusual, as it marked the second largest increase in service prices since the current structure of the PPI began in 2010 (three other observations were close with increases of 1.1%; the largest increase was 1.3% during the inflation burst in 2022).

Goods prices other than energy items were tame compared with service prices, but they too were unsettling. This grouping posted an increase of 0.6%, a reading in the upper end of the range from the past few years. The increase, although pronounced, was not broadly based. In a list of 53 non-energy goods provided by the BLS, only 13 posted increases of 0.4% or more, although a handful were especially sharp (electronic components 8.1%, industrial chemicals 4.4%, household furniture 1.8%).

Food represented the only major grouping that was not troubling, registering an increase of 0.2%. 


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- The energy component led the sharp increase in the PPI, but it had support from many other areas
- Excluding energy, most service prices rose sharply; prices of non-energy goods also were under pressure
- The food component went against the grain with an increase of only 0.2%


April PPI: Broad-Based Pressure

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Industrial production in the European monetary area in March rose by 0.2%. Manufacturing output rose by 0.4%, marking two-months in a row of output increases. Output is still falling overall and in manufacturing over three months. Over three-months total manufacturing output excluding construction falls 2.7% annualized, over 6-months, it falls at a 0.4% annual rate, and over three-months the pace of decline steps back up again to -1.2% at an annual rate. The declines in manufacturing are more or less along the same lines.

**Sectors**
Output of consumer goods fell in March, driven by a decline in the output of nondurable goods that fell 4.5% month-to-month. Intermediate goods output rose by 0.9% in the month, increasing for the second month in a row. Capital goods output rose 1.1% after rising 0.8% in February.

**Sequential growth**
However sequential growth rates find headline growth negative over 12-months, six-months, and three-months- the same as for manufacturing. Consumer goods output declines at an accelerating pace dropping 11.6% over 12-months, at a 13.6% annual rate over six-months and at a 24.9% annual-rate over three-months. Those declines are led by reduction in consumer nondurables output. Intermediate goods output is mostly weak over the horizon, falling by 1.5% over 12-months and by 0.9% over 3 months annualized. The exception is capital goods sector where output rises by 2.2% over 12 months and accelerates to 4.6% over 6-months but then tails back, trimming growth to a 1.2% annual rate over three-months.

**Country Performance**
On a country basis declines occur in only two early-reporting members; those are Malta and Germany in March. Over three months output declines in the monetary area occurs in Ireland and Luxembourg and in Germany- with increases elsewhere. Output declines over 12-months, six-months, and three-months in the monetary area only for Germany, Luxembourg, and Ireland. There are consistent output increases in the monetary union in Austria, France, Finland, Italy, Greece, and Portugal. For most countries, increasing output is the rule despite the weak headlines, indicating that large economies are faring worse than smaller economies.

**Q1 Growth**
In the completed first quarter, we have manufacturing output falling by 1.8% at an annual rate and overall output falling at a 1.9% annual rate. Output declines in the quarter and in all major sectors. As for country reporters output falls in the quarter for Austria, Germany, Luxembourg, and Ireland.

**Growth rate rankings**
So, the percentile queue standings presented in the right-hand column are rankings of industrial production growth rates over 12-months. Compared to recent history, overall output has a 17-percentile standing which is relatively weak, in the lower one-fifth of its ranked results over the period (back to 2006). Only capital goods output at 52.5% has a standing above the 50% level which places it above its median result for the period. Among reporting countries seven have percentile standings above 50%, above their respective medians. The countries where output does not grow at a pace in excess of its median are Germany, Luxembourg, Malta, and Ireland.

On balance the smaller countries seem to be faring better in the European monetary union. The last two months have been relatively good months for output across the union; however, January had been so weak that the two months have not been able to recover from the weakness experienced in January. And the March data hardly reflect the hardships that are going to be visiting these economies because of the rise in oil prices and concerns about the situation in Iran and the strait of Hormuz. The future is unlikely to get better.





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Europe

Manufacturing IP in EMU Slogs Ahead

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Mortgage applications rose 1.7% w/w (15.5% y/y) in the week ending May 8, after declining 4.4% w/w (+14.9% y/y) in the week ending May 1, according to the Mortgage Bankers Association’s (MBA) Weekly Mortgage Applications Survey. Applications for loans to purchase a house rose 3.9% w/w (6.7% y/y) in the May 8 week, following a decline of 3.7% w/w (+5.1% y/y) in the May 1 week.  Applications for loan refinancing declined 0.8% w/w (+28.3% y/y) in the latest week after declining 5.0% w/w (+28.8% y/y) in the week of May 1. 

The effective interest rate on a 30-year fixed-rate loan was unchanged at 6.64% in the week ending May 8 from the week ending May 1. The rate on 15-year fixed-rate mortgages edged down 2bps to 5.99% in the latest week from 6.01% in the week ending May 1. The 30-year Jumbo rate rose 4bps to 6.64% in the May 8 week from 6.60% in the May 1 week. The rate on a 5-year ARM rose 12bps to 6.02% in the latest week from 5.90% in the week ending May 1.
The share of applications for refinancing an existing loan declined to 40.8% of total applications in the week of May 8, from 42.0% in the May 1 week. The adjustable-rate mortgage (ARM) share of activity was unchanged at 8.8% in the week ending May 8 from the May 1 week.

The average size of a mortgage loan edged down 0.5% w/w (+2.9% y/y) to $409,000 in the week ending May 8, after rising 0.7% w/w (2.7% y/y) to $410,900 in the week ending May 1. The average size of a purchase loan was largely unchanged w/w (4.0% y/y) at $467,200 in the latest week, after rising 1.5% w/w (5.2% y/y) to $467,300 in the May 1 week. The average size of a loan to refinance a mortgage declined 2.5% w/w (+5.9% y/y) to $324,500 in the May 8 week, after declining 1.3% w/w (+2.3% y/y) to $332,800 in the May 1 week. 

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



- Applications for loans to purchase rose, while applications for loan refinancing declined in the latest week.
- Interest rate on 30-year fixed-rate loans was unchanged at 6.64%. 
- Average loan size edged down.


U.S. Mortgage Applications Rose in the May 8 Week 

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The consumer price index for April matched expectations with an increase of 0.6%. As universally expected, the energy component led the increase, rising 3.8%. The pace in April was notably slower than the jump of 10.9% in March, but it was still brisk by recent standards (third fastest in the past three years and well ahead of the average monthly increase of 0.2% in 2025).

Several media reports have portrayed the current energy episode as the most pronounced disruption in history. Possibly. The average increase in the energy component of the CPI totaled 7.3% in March and April. Only one two-month increase has exceeded this total, and that jump might be viewed as a special factor (driven by hurricanes in August and September 2005 that closed drilling rigs and energy transport in the Gulf of Mexico). Other episodes, although not matching the latest two-month increase, have come close. Energy prices jumped in the aftermath of Russia’s invasion of Ukraine, and other instances of instability in the Middle East have caused problems (oil embargo in 1973, Iranian revolution in 1979, and Iraq’s invasion of Kuwait in 1990). Whether or not the current disruption is the most pronounced in history will depend on what unfolds in the months ahead.

Thus far, the pressure on energy prices has been concentrated in oil-based products (gasoline and fuel oil). Surprisingly, prices of natural gas have not changed meaningfully. Natural gas services for consumers as reported in the CPI dipped in March and April, and Henry Hub prices have eased on balance over this two-month period as well. Futures prices for natural gas also have been tame. The cost of electrical services in the CPI have started to move, increasing 2.1% in April. Prices of natural gas for consumers and electricity are included in the energy services component of the CPI. As shown in the chart below, the pickup in electrical charges has not had much influence on the year-over-year change.

The food component of the CPI rose 0.5% in April. The change might be viewed as benign, as it followed a flat reading in March. However, food prices rose 0.4% in February, leaving an average of 0.3% in the past three months, an uncomfortable pace.

The core CPI rose 0.4% in March, a pace well ahead of that desired by the Federal Reserve. However, a special factor tied to the government shutdown in October led to a sharp increase in rental rates in April (0.5%, versus an average of 0.2% in the prior six months). Rental rates in the CPI are based on six-month averages, and because of the government shutdown, observations for October 2025 were not available. The Bureau of Labor Statistics, in the absence of data, used a value of 0.0% for the increase in rental rates for October. That reading led to understatements of the rental component of the CPI from October of last year through March of this year. The reading of 0.0% dropped out of the April calculation, and thus a jump in the six-month average and the rental component for April. This distortion probably added 0.1 percentage point to the core CPI in the latest month. Without this distortion, the core CPI most likely would have increased 0.3%, a still-firm pace.

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

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- The increase in gasoline prices slowed from the blistering pace in March, but April still brought the third sharpest increase in the past three years.
- Fluctuating food prices left a high-side average change in the past three months.
- The core component was distorted by an anomaly in rents, but the pace was still brisk excluding rents.

April CPI: More Energy Pressure; Food and Core Uncomfortable

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Mortgage applications declined 2.3% w/w (+18.9% y/y) in the week ending May 15, after rising 1.7% w/w (15.5% y/y) in the week ending May 8, according to the Mortgage Bankers Association’s (MBA) Weekly Mortgage Applications Survey. Applications for loans to purchase a house dropped 4.1% w/w (+8.0% y/y) in the May 15 week, following a rise of 3.9% w/w (6.7% y/y) in the May 8 week.  Applications for loan refinancing edged down 0.1% w/w (+34.8% y/y) in the latest week after declining 0.8% w/w (+28.3% y/y) in the May 8 week.

The effective interest rate on a 30-year fixed-rate loan rose 9bps to 6.73% in the week ending May 15 from 6.64% in the week ending May 8. The rate on 15-year fixed-rate mortgages rose 12bps to 6.11% in the latest week from 5.99% in the week ending May 8. The 30-year Jumbo rate rose 5bps to 6.69% in the May 15 week from 6.64% in the May 8 week. The rate on a 5-year ARM also rose 5bps to 6.07% in the latest week from 6.02% in the week ending May 8.

The share of applications for refinancing an existing loan rose to 41.9% of total applications in the week of May 15 from 40.8% in the May 8 week. The adjustable-rate mortgage (ARM) share of activity rose to 9.6% in the May 15 week from 8.8% in the week ending May 8.

The average size of a mortgage loan declined 1.4% w/w (+3.5% y/y) to $403,200 in the week ending May 15, after retrenching 0.5% w/w (+2.9% y/y) to $409,000 in the week ending May 8. The average size of a purchase loan edged down 0.1% w/w (+4.6% y/y) to $466,900 in the latest week from $467,200 in the May 8 week. The average size of a loan to refinance a mortgage declined 3.0% w/w (+8.1% y/y) to $314,700 in the May 15 week from $324,500 in the May 8 week. 

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


- Both applications for loans to purchase and applications for loan refinancing declined in the latest week.
- Interest rate on 30-year fixed-rate loans rose 9bps to 6.73%. 
- Average loan size declined.


U.S. Mortgage Applications dropped in the May 15 Week 

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**ENERGY** → Petroleum → Petroleum Product Prices Including Pump Prices → Nepal

Retail fuel prices for Nepal were added to the **ENERGY**, **INTDAILY** and **INTWKLY** databases. Fuels included in this table are petrol, diesel, kerosene, liquefied petroleum gas and jet fuel. These 7-day daily data are sourced from the Nepal Oil Corporation (NOC) and start in November 2017.

Chart: Arguably, nowhere has felt the effects of the war in Iran more than Asia, as nearly 90% of the oil and gas passing through the Strait of Hormuz is bound for Asian countries. Nepal imports all its fuel from India – and thus these disruptions have caused steep price hikes, widespread shortages, and has forced the state-owned NOC into massive financial losses as they absorb some of the blow to consumers through subsidies. In the past two months, the price of petrol has increased by 36%, diesel by 53% and jet fuel by 102%. Natural gas, which is considered an essential household utility, has only seen a 4% increase primarily due to subsidies.

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**GLSECTOR** → Selected Indicators by Country → Angola → Mining → Diamond Mining

Diamond mining statistics for Angola have been added to the **GLSECTOR** database. Series include carats of diamonds produced, average price per carat, and industrial taxes and royalties collected. These monthly data are sourced from the Angola Ministry of Finance and start in January 2001.

Chart: Despite fragile global demand and competition from synthetic diamonds, Angola continues to break production records, mining 16.7 million carats in 2025, an increase of 33.9% YoY following a 40.2% increase in 2024. These gains have made Angola one of the world’s top diamond producers by value. It has deliberately traded volume for value by offloading large inventories of diamonds onto the global market. However, this has driven the average price per carat down 39% YoY to $123.21 – and further down to $85.33 in Feb 2026.

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**INTDAILY** → Americas → United States → US Surprise Indexes

Haver-calculated US Economic Surprise Indexes were added to **INTDAILY** and **DAILY**. The series are based on the Action Economics median forecasts relative to the corresponding as first reported figures. The series cover key economic concepts and sectors including GDP, production and capacity, current account and trade, consumers, housing, labor and inflation. Economic growth, hard and soft data aggregates are also available. Daily data start in May 2004.

Chart: A 10-year snapshot of the inflation surprise index (red) plotted against the differences between as reported and expected values for the underlying inflation indicators. In this case, they are CPI, PPI, import prices, and the ECI. The surprise index is in positive territory during times when the concentration of instances when actual inflation exceeds expectations is greater.

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