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

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

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

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

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

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

DLXVG3

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

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

Edit date ranges, archive data, apply functions

Excel Spreadsheet Add-ins

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

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

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

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

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

Timely Updates

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

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

Database Compatibility

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Data Link Express

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

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HaverView

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

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

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MATLAB

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

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Stata

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

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

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

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RATS

Session 1: Bootcamp Part 1

Visualization with GGPlot2 and data analysis

Session 2: Bootcamp Part 2

Session 3: Univariate Models Part 1

Session 4: Univariate Models Part 2

Session 5: Vector Autoregressions

Session 6: Cointegration and error-correction models

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

Estimating, evaluating, and forecasting ARIMA models

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

Estimating autoregressions, granger causality tests, and impulse response functions

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

Estimating and forecasting with vector error correction models

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

Daniel L. Jerrett, Ph.D.

Abdel M. Zellou, Ph.D.

Bootcamp and Econometric Tools 1 & 2

Econometrics Training: Applied Time Series in R

Session 5: Multivariate Models Part 1

Session 6: Multivariate Models Part 2

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

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

Proficiency working in Jupyter notebooks and the Python environment

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Remote Training: Applied Time Series in Python

More pronounced upward revisions in countries more exposed to AI investment

Kathleen Stephansen, CBE

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Initial claims for unemployment insurance declined by 9,000 to 198,000 in the week ending January 10, from 207,000 in the week ending January 3, revised from 208,000. The four-week moving average of initial claims was 205,000 in the January 10 week, a decline of 6,500 from 211,500 in the January 3 week, revised from 211,750, and reaching is the lowest level for this average since January 20, 2024, when it was 203,250.

Federal government employees initially filed 646 (NSA) jobless insurance claims in the week ended January 3, after filing 476 claims in the week ended December 27.

The total number of unemployment insurance beneficiaries – also known as “continuing claims” –decreased by 19,000 to 1.884 million in the week ended January 3 from 1.903 million in the December 27 week, revised from 1.914 million. The four-week moving average was 1.889 million in the week ending January 3, a decrease of 250 from the prior week, revised from 1.893 million. The insured unemployment rate stood at 1.2% in the week of January 3, unchanged from previous 5 weeks.

Federal government employees’ continuing benefits claims were 12,803 (NSA) in the week of December 27, 12,161 (NSA) from 12,129 (NSA) in the week of December 20. 

The insured unemployment rate varied greatly across individual states and territories. In the week ending December 27, the highest unemployment rates were in Rhode Island (2.86%), New Jersey (2.85%), Washington (2.81%), Minnesota (2.74%), Massachusetts (2.59%), Oregon (2.28%), Montana (2.16%), California and Connecticut (both 2.12%) and Alaska (2.06%). The lowest rates were in Florida (0.31%), North Carolina (0.41%), Louisiana (0.43%), Alabama and Virginia (both 0.49%). Rates in other notable states include Illinois (2.18%), New York (2.10%), Pennsylvania (2.02%), and Texas (1.20%). 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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- Initial claims declined from the prior week.
- Continuing claims declined from the prior week.
- The insured unemployment rate was unchanged.

U.S. Initial Claims for Unemployment Insurance Declined in Latest Week

Robert Brusca

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Industrial output in the European monetary union rose by 0.7% in November for the second month in a row. Manufacturing output jumped to an increase of 0.9% after rising by 0.3% in October. By sector, output in consumer goods fell by 0.8%, as consumer durables output fell by 1.3%, and consumer nondurables output fell by 0.6%. However, intermediate goods output rose by 0.3% and capital goods output rose by 2.8%.

**Sequential trends**
Sequentially output in the euro area is looking much stronger with the 2.6% gain over 12 months, a 1.2% annual rate gain over six months and at a smashing 7.1% annual rate gain over three months. For manufacturing, the 12-month pace is 12.5%, the rate of change over six months is 0.4% at an annual rate, while over three months, manufacturing output is rising at a 4.1% annual rate.

**Component growth**
Component growth is mixed with consumer goods output overall showing negative growth rates over three months and six months, consumer durables transition from declining growth to positive growth over three months while consumer nondurables show positive growth over 12 months, transitioning to progressively weaker six-month and three-month rates of growth. Intermediate goods, however, show acceleration in train with three-month growth at 6%, up from 1.1% over 12 months, and with capital goods output progressively rising from 3.3% over 12 months, to a 14.5% annual rate over three months.

**Quarter-to-date results**
Today's report is through November; quarter-to-date industrial production is up at a 4.4% annual rate, with manufacturing up at 1.4% annual rate. The total industrial production growth rate has the historic ranking in its 65.5 percentile and manufacturing growth only ranks at its 55th percentile. Only two sectors, consumer durables, and (barely for) intermediate goods are the growth rates below their historic medians which means their rankings are below their respective 50th percentiles.

**Country level trends**
Across countries we still see a great deal of weakness with the median EMU reporter showing an output decline of 0.1%. However, Germany has progressed to show a 2.1% increase in November and has logged three straight months of output increases of over 1%. For Germany the 12-month, to six-month, to three-month growth rates have progressed from an annual rate of 1.2%, to 3.9% over six months, to a 22.1% annual rate over three months.

**Mixed results monthly**
To be sure, there are more outsized declines across countries than there are increases. Spain posts an 8.5% output decline on the month. Luxembourg posts a 6.9% decline, with Greece and Portugal each logging declines of 3%; however, in all these cases, these negative growth rates in November are reversing or blunting positive growth rates in October. Countries logging strong growth rates in November are Germany at 2.1%, Italy at 1.1%, and Ireland at 1.4%. Outside of the monetary union, Sweden has a gain of 6% and Norway a month-to-month gain of 3.2%. Germany, Italy, Greece, and Sweden exhibit accelerating growth from 12-months to six-months, to three-months. Luxembourg and Ireland exhibit steadily decelerating growth.

**Stronger results on balance sequentially**
Output growth rates over 12 months, six months, and three months, across monetary union members show over half of them accelerating over the sequential span within the last year. Monthly data from the monetary union and other European reporters remain somewhat inconsistent; however, it's also true we're coming off a very strong October and so the weak monthly November numbers may not be very meaningful. However, this is still leaving us with what are essentially very strong sequential growth rates, from 12-months to six-months to three-months across this group of countries. On a quarter-to-date basis among the 14 countries in the table, only three are reporting quarter-to-date declines in output in progress. Year-over-year growth rates for these countries show standings below their 50th percentile for only four of them, and for Finland the reading is only technically below 50% at 49.6%.

There's a reasonable case being made for the notion that the European Monetary Union is embarking on a revival especially because it seems to be underpinned by Germany which is showing a very strong last three months, very strong sequential growth rates and has logged in addition to this a firm GDP growth rate, after wallowing in recession.

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Europe

EMU IP – Has the Worm Turned?

Sandy Batten

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Existing home sales jumped 5.1% m/m (+1.4% y/y) in December to 4.35 million units (SAAR). This was the fourth consecutive monthly gain and was well above the 1.7% m/m increase expected by the Action Economics Forecast Survey. December sales were the highest since February 2023. For all of 2025, sales remained anemic, totaling just 4.084 million and only up slightly from 4.067 million in 2024, which was the lowest annual total in the history of the series dating back to 1999. The average effective 30-year mortgage interest rate fell to 6.51% in December from 6.54% in November. This is down markedly from 7.10% in May and accounts for some of the revival in home sales over the past several months. The sales figures are based on closings of sales contracts signed over the past couple of months.

Existing single-family home sales rose 5.1% m/m (+1.8% y/y) in December to 3.95 million. This was the fourth consecutive monthly increase and highest level of single-family sales since February 2023. Sales of condos and co-ops surged 5.3% m/m (-2.4% y/y) in December to 400,000, more than reversing a 2.6% monthly drop in November. For all of 2025, sales of single-family homes edged up to 3.706 million from 3.673 million in 2024. By contrast, sales of condos and co-ops declined to 378,333 from 393,333 in 2024.

Compared to a month ago, sales rose 2.0% m/m in the Northeast, increased 2.0% m/m in the Midwest, jumped 6.9% m/m in the South (the largest monthly gain since February 2024), and surged 6.6% m/m in the West (the largest monthly gains since February). Year-over-year comparisons were less flattering. Compared to a year ago, sales were unchanged in both the Midwest and the West and fell 1.9% y/y in the Northeast. By contrast, sales rose 3.6% y/y in the South.

The median price of all existing homes (NSA) declined 1.1% m/m (+0.4% y/y) to $405,400 in December. The median price of an existing single-family home fell 1.3% m/m (+0.2% y/y) to $409,500 in December. Prices of single-family homes in the Northeast were essentially unchanged in December from November. However, prices in the other three regions fell: -3.6% m/m in the Midwest, -0.3% m/m in the South, -1.9% m/m in the West.

Inventories of homes for sale continued to weaken in December. The number of existing homes for sale (NSA) plummeted 18.1% m/m (+3.5% y/y) to 1.18 million units, the lowest level since January. The supply of homes on the market at the current selling rate (NSA) fell to 3.3 months, its lowest reading since last December.

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

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- Existing home sales jumped a much larger-than-expected 5.1% m/m in December, the fourth consecutive monthly gain.
- Month-over-month sales increased in each of the four major areas.
- But year-over-year sales rose only in the South.
- For all of 2025, sales totaled 4.084 million, up slightly from 4.067 million in 2024.

U.S. Existing Home Sales Jumped 5.1% in December

Michael J. Moran

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The Bureau of Labor Statistics did not publish a report on producer prices for October because of the government shutdown, but it was able to collect sufficient data retroactively to construct all the usual statistics. Those results were included in the November report, which was published on January 14.

The producer price index for final demand rose 0.2% In November after an increase of 0.1 percent in October. These modest changes followed firmer increases in the prior three months (0.4% on average), leaving little change in the year-over-year increase. The Producer Price Index can fluctuate sharply from month-to-month, but the ups and downs recently have traced a sideways trend, with inflation remaining in a range of approximately 2.0% to 4.0% since early 2024. Inflation in the past several months has been in the middle of that range.

The goods and service components of final demand both posted annual inflation near 3.0% in November (goods at 3.2% and services at 2.9%), but they were moving along different trajectories. Good inflation was drifting upward, while service inflation was easing slightly. Casual observation suggests that tariffs might be playing a role in the pickup in goods inflation. Tariffs could be leading to higher prices of inputs for domestic producers, which might be passed on to final prices. The year-over-year increase in final goods inflation totaled only 0.4% in April, when President Trump announced draconian tariffs, but it has since climbed to 3.2%.

The final demand PPI, in addition to goods and service components, also has a construction component, although it has a small weight in the overall index (2.6%). This component was unchanged in November after an increase of 1.6% in October; the year-over-year change totaled 2.7%. The BLS claims that monthly changes in the construction component are seasonally adjusted, but the published figures seem to have residual seasonality. Specifically, the first month of many quarters often shows an outsized change. In the chart below, the spikes upward and downward are nearly always in the first month of a quarter.

In addition to final demand measures, the Bureau of Labor Statistics also publishes price indexes for intermediate goods and services produced by US firms. The intermediate service measure had been showing a downward drift in inflation, although it has taken a slight turn upward in recent months. Among producers of processed goods, inflation at the intermediate level has taken a sharp turn since mid-2024, moving from deflation to essentially no inflation one year later. Inflation remained close to zero for a time, but a renewed upward trend began in the spring of last year (after April – one wonders about the effect of tariffs).

The BLS publishes an index for unprocessed goods at the intermediate level, but this measure is wild. Month-to-month changes are often pronounced, and the year-over-year change swings sharply as well. Since mid-2024, year-over-year inflation has ranged from -32.1% to 9.3%.

The PPI data are published by the Bureau of Labor Statistics and can be found in Haver’s **USECON** database. Further detail is contained in **PPI** and **PPIR**. The expectations figures are available in the **AS1REPNA** database.

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- Offsetting drifts in final demand for goods and services leave inflation steady at 3%.
- Inflation quickens for producers of intermediate goods and services.

Producer Prices: Range Bound Since Mid-2024

Winnie Tapasanun

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Total retail sales rose 0.6% m/m in November—exceeding expectations—after a downwardly revised 0.1% easing in October (0.0% initially) and a 0.1% uptick in September (unrevised), data from the U.S. Census Bureau showed. November marked the fifth m/m gain in six months. A 0.4% m/m November increase had been expected in the Action Economics Forecast Survey. The year-on-year growth rate stood at 3.3% in November and October, the lowest since October 2024; this compared with 3.9% in November 2024 and remained far below a high of 17.1% in February 2022 and a peak of 51.8% in April 2021.

Excluding motor vehicles & parts, retail sales rose 0.5% (4.3% y/y) in November, the sixth straight m/m rise, after a 0.2% increase in October (+0.4% initially). A 0.3% m/m November increase had been expected. Sales of motor vehicles & parts grew 1.0% (-0.7% y/y) following a 1.6% October decline; this compared to a 2.5% rise (-4.3% y/y) in unit light vehicle sales following a 6.7% October drop.

Sales in the retail control group, which excludes autos, building materials, gasoline stations, and food services, rose 0.4% (5.1% y/y) in November, the sixth m/m rise in seven months, after a 0.6% rebound in October. These sales are used in the construction of personal consumption expenditures in NIPA accounts. Nonauto sales excluding gasoline & building materials rose 0.4% (5.0% y/y), also up for the sixth time in seven months, following a 0.5% October increase.

Sales by category mostly increased m/m in November. To the upside, sporting goods, hobby, book & music store sales climbed 1.9% (7.8% y/y) in November, the fourth m/m increase in five months, after gaining at the same rate in October. Miscellaneous store sales rose 1.7% (16.3% y/y), the third consecutive m/m rise, after a 1.5% October increase. Gasoline station sales recovered 1.4% (3.2% y/y), the fifth m/m gain in six months, following a 1.2% October drop. Building materials & garden equipment store sales rose 1.3% (-2.8% y/y), the first m/m rise since August, reversing a 1.3% October decrease. Clothing & accessory store sales grew 0.9% (7.5% y/y), the eighth m/m increase in nine months, after a 1.2% October gain. Nonstore retail sales rose 0.4% (7.2% y/y), the ninth m/m rise in 10 months, on top of a 1.0% October increase.

Meanwhile, electronics & appliance store sales held steady (2.7% y/y) in November after a 0.1% uptick in October and two consecutive m/m declines. General merchandise store sales were virtually unchanged (+2.1% y/y) in November after a 0.5% increase in October; within this grouping, department store sales fell 2.9% (+0.3% y/y) following a 4.9% October rebound (the largest m/m gain since February 2022). Furniture & home furnishing store sales slipped 0.1% (-1.4% y/y), the third m/m decline in four months, after a 1.8% October rise.

In the nondiscretionary sales categories, health & personal care store sales recovered 0.3% (6.7% y/y) in November, up for the second month in three, following a 0.2% decline in October. Food & beverage store sales edged up 0.1% (2.4% y/y), the fifth m/m increase in six months, after a 0.2% October rebound.

Consumers appeared to dine out in November despite still-high inflation. Restaurant & drinking place sales rose 0.6% (4.9% y/y) in November, the fifth m/m rise in six months, following an upwardly revised 0.1% easing in October (-0.4% initially).

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

The Fed’s latest **Beige Book** covering regional economic conditions can be found [here](https://www.federalreserve.gov/monetarypolicy/files/BeigeBook_20260114.pdf).

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- November total retail sales +0.6% (+3.3% y/y); fifth m/m gain in six months.
- Ex-auto sales +0.5% (+4.3% y/y); auto sales +1.0% (-0.7% y/y).
- Gains m/m: sporting goods (+1.9%), misc. stores (+1.7%), gasoline stations (+1.4%), and bldg. materials (+1.3%).
- Declines m/m: department stores (-2.9%) and furniture stores (-0.1%).

U.S. Retail Sales Rise More Than Expected in November

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Mortgage applications jumped 28.5% w/w (55.1% y/y) in the week ending January 9 after rising 0.3% w/w (+60.8% y/y) in the week of January 2, according to the Mortgage Bankers Association’s (MBA) Weekly Mortgage Applications Survey. Applications for loans to purchase a house rose 15.9% w/w (14.0% y/y) in the week ending January 9 after falling 6.2% w/w (+24.7% y/y) in the week ending January 2 and following five consecutive weekly declines. Applications for loan refinancing surged 40.1% w/w (128.1% y/y) in the latest week, after a rise of 7.4% w/w (133.6% y/y) in the January 2 week.

The effective interest rate on a 30-year fixed-rate loan fell 7bps to 6.35% in the week ending January 9 from 6.42% in the week ending January 2. The rate on 15-year fixed-rate mortgages dropped 5bps to 5.75% in the latest week from 5.80% in the prior week. The 30-year Jumbo rate rose 9bps to 6.54% in the January 9 week from 6.45% in the January 2 week. The rate on a 5-year ARM dropped 38bps to 5.60% in the latest week after jumping 28bps to 5.98% in the January 2 week.

The share of applications for refinancing an existing loan rose to 60.2% of total applications in the January 9 week from 56.6% in the week ending January 2. The adjustable-rate mortgage (ARM) share of activity rose to 7.0% in the week ending January 9 from 6.3% in the week ending January 2.

The average size of a mortgage loan rose 6.3% w/w (9.9% y/y) to $403,600 in the week ending January 9 after declining 4.5% w/w (+5.6% y/y) to $379,800 in the week ending January 2. The average size of a purchase loan rose 7.7% w/w (4.9% y/y) to $440,300 in the latest week after dropping 4.2% w/w (-1.4% y/y) to $408,700 in the prior week. The average size of a loan to refinance a mortgage rose 6.0% w/w (27.8% y/y) to $379,200 in the week ending January 9 after retrenching 4.1% w/w (+27.8% y/y) to $357,700 in the January 2 week.

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

- Purchase and refinancing loan applications jumped in the latest week.
- Effective interest rate on 30-year fixed loans fell to 6.35%.
- Average loan size rose.

U.S. Mortgage Applications Surged in the Week of January 9

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When inflation fell in the post COVID. Finish inflation slipped easily below the 2% mark and then accelerated rather strongly but continued to remain below 2% most of the time until recently. In September of last year, Finish inflation once again made a strong move below 2%. The harmonized inflation rate over 12 months for Finland is 1.3% in October, 1.5% in November, and 1.7% in December. These are all 12-month, year-over-year gains. From October through November, Finland’s core measure of the HICP also has been below 2%.

In December, Finland's HICP measure kicked up its heels to log a 0.3% gain after rising 0.2% month-to-month in November and falling by 0.5% in October. Among the 9 categories that make up the detailed national CPI that's released at the same time as the HICP, four of the components showed gains less than 0.2% with three components showing gains of 0.6% or more on a monthly basis. This followed a November report in which seven of the nine categories and the national index itself showed month-to-month declines and where 55% of the categories decelerated from October. By comparison, in December 85% of the categories accelerated relative to November, but then given the weak nature of the November report, that's not particularly surprising. October had been another month of extremely disciplined prices with the headline HICP falling by 0.5% month-to-month and with six declines in monthly prices, against accelerations in only 35% of the categories. Clearly Finland has been in a period when inflation has been extremely tempered.

Sequential trends showed that the HICP headline measure is up by only 1.7% over 12 months although it's up at a 5.9% annual rate over six months and then up by only a 0.1% annual rate over three months. Inflation accelerates for 40% of the categories over 12 months compared to 12-months ago, it accelerates over 6 months compared to 12-months for 60% of the categories, and it accelerates over 3 months compared to 6-months only 30% of the categories. The year-over-year and three-month performances shows a great deal of inflation discipline in Finland.

The rankings, or queue standings, of the inflation rates show the headline, which is up 1.7% over 12 months at a 56.1 percentile ranking over that period back to 2001. That places the measure on slightly above its median on data back to 2001. The national index, however, is up by only 0.2% over that span. And it has a 14.3 percentile weight extremely weak among the components in the domestic price index: five of them have rankings above the 50-percentile mark overall on 12-month changes back to 2001. The greatest increases are in health & medical care with a 90.4 percentile standing, recreation & culture prices have an 81.7 percentile standing, communication has 83-percentile standing, education has a 55.2 percentile standing, and food & nonalcoholic beverages are close to the median at a 50.4 percentile standing. The weakest prices on the standing basis are housing, fuel & light at an 8.7 percentile standing and as well as other goods & services at a 5.7 percentile standing.

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**Summing up**
Finland is unusual in Europe for having inflation broadly well under control since inflation has come down following the COVID episode. Inflation has rarely been above 2%; when it has edged above 2%, it hasn't been above it by very much. Finish inflation continues to be extremely disciplined. However, the core rate of inflation, whose data lag by one-month behind the headline data, still runs at a slightly hotter pace than the headline.

Finland

Inflation in Finland Continues Dive Below 2%

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New single-family home sales dipped 0.1% m/m (+18.7% y/y) to a seasonally adjusted annual rate of 737,000 units in October following rises of 3.8% to 738,000 in September and 11.3% to 711,000 in August (+20.5%, 800,000 previously), data from the U.S. Census Bureau showed. The Action Economics Forecast Survey had expected sales of 710,000 for October. The October figure was the first m/m decline since July, though sales remained 42.0% up from the July 2022 low of 519,000. The sales dip occurred alongside a drop in the average 30-year fixed mortgage rate to 6.25% in October, the lowest since September 2024, after declining to 6.35% in September; it had subsequently continued trending downward, according to Freddie Mac.

By region, October new home sales fell m/m in all major regions except the South. Sales in the West plunged 36.3% (-24.8% y/y) to 109,000 in October, the lowest level since July 2022, after a 9.6% increase in September. Sales in the Northeast dropped 14.3% (-40.0% y/y) to 24,000 after registering at 28,000 in September and August. Sales in the Midwest fell 9.0% (+21.3% y/y) to 91,000 following a strong 25.0% September gain. For these three regions, October marked the first m/m decline since July. In contrast, sales in the South surged 16.9% (42.1% y/y) to 513,000, the highest level since March 2021, after a 1.8% September decline. The South remained the dominant region, accounting for 69.6% of total U.S. new home sales.

The median sales price of a new home fell 3.3% (-8.0% y/y) to $392,300 in October on top of a 3.4% decline to $405,800 in September, marking the fourth m/m fall in five months and the lowest level since July 2021. The median sales price had fallen 14.8% since its record high of $460,300 in October 2022. Meanwhile, the average sales price of a new home rose 3.0% (-4.6% y/y) to $498,000 in October after an 8.1% drop to $483,500 in September. The average price was 8.0% below a high of $541,200 in July 2022. These sales price data are not seasonally adjusted.

The number of unsold new homes on the market held steady at 488,000 (+1.7% y/y) in October after four straight m/m declines. The latest figure was 14.6% above a low of 426,000 in July 2023. The seasonally adjusted months' supply of new homes for sale remained at 7.9 months in October and September—the lowest reading since September 2024—after falling to 8.3 months in August. The latest reading, while above a low of 6.9 months in May 2023, remained below a high of 10.6 months in July 2022.

The median number of months a new home stayed on the market rose to 2.7 months in October, the highest since March 2025, after registering at 2.4 months in September and August. The latest number was above its record low of 1.5 months in both September and October of 2022 but well below a peak of 5.1 months in March 2021. These figures date back to January 1975.

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

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- October sales -0.1% (+18.7% y/y) to 737,000; still 42.0% above the July ’22 low.
- Sales fall m/m in all major regions except the South (+16.9%).
- Median sales price down to $392,300, lowest since July ’21; avg. price up to $498,000.
- Months' supply of new homes for sale holds steady at 7.9 mths., lowest since Sept. '24.

U.S. New Home Sales Ease in October After Two Straight M/M Increases

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Industrial production (IP) rose a more-than-expected 0.4% m/m in December following a 0.4% rise in November (+0.2% initially) and a 0.3% decline in October (-0.1% previously), data from the Federal Reserve Board showed. December marked the third m/m gain in four months. A 0.1% m/m December increase had been expected in the Action Economics Forecast Survey. The year-on-year growth rate slowed to 2.0% in December, the lowest since September, from 2.5% in November; this compared with a 0.3% y/y decline in December 2024. The December IP index at 102.3 was 3.1% above a low of 99.2 in January 2024. IP rose 0.2% q/q in Q4 2025 after a 0.6% q/q gain in Q3 2025, increasing at a 0.7% annualized rate following a 2.3% Q3 annualized pace. In 2025, IP rose 1.3% after declines of 0.7% in 2024 and 0.2% in 2023.

By **industry groups**, manufacturing production grew 0.2% (2.0% y/y) in December, up for the third time in four months, following a 0.3% increase in November (0.0% initially) and a 0.6% drop in October (-0.4% previously). Durable goods production edged up 0.1% (3.1% y/y) in December, the first m/m increase since September, after a 0.1% downtick in November. Within durables, the following categories rose m/m in December, including output rises of 2.4% (3.5% y/y) in primary metals, 1.7% (1.3% y/y) in electrical equipment, appliances & components, 1.5% (17.2% y/y) in aerospace & miscellaneous transportation equipment, 0.8% (-2.2% y/y) in furniture & related products, 0.2% (4.8% y/y) in machinery, and 0.1% (7.4% y/y) in computer & electronic products. Notably, aircraft & parts production climbed 2.1% (30.0% y/y), the third m/m increase in four months, reversing a 2.1% November drop. To the downside, the following durable goods categories fell m/m in December, including drops of 2.3% (-5.5% y/y) in wood products, 1.1% (-2.8% y/y) in motor vehicles & parts, 1.1% (-1.0% y/y) in nonmetallic mineral products, 0.1% (+2.6% y/y) in fabricated metal products, and 0.1% (-3.7% y/y) in miscellaneous durables goods.

Nondurable goods production increased 0.3% (1.0% y/y) in December, the third m/m gain in four months, after a 0.8% rebound in November. The December increase reflected m/m output rises of 1.8% (2.1% y/y) in petroleum & coal products, 0.5% (1.9% y/y) in food, beverages & tobacco, and 0.3% (-0.2% y/y) in plastics & rubber products. In contrast, the following nondurable goods categories declined m/m in December, including output drops of 1.3% (-0.8% y/y) in textiles & product mills, 1.1% (-0.5% y/y) in apparel & leather goods, 0.3% (-3.1% y/y) in paper, 0.3% (-3.4% y/y) in printing & related support activities, and 0.1% (+1.6% y/y) in chemicals.

Utilities output recovered 2.6% (2.3% y/y) in December, the third m/m rise in four months, following a 0.3% decline in November (-0.4% initially), reflecting a 1.2% rebound (1.3% y/y) in electric utilities output and a 12.0% jump (8.7% y/y) in natural gas utilities output. Mining activity, however, fell 0.7% (+1.7% y/y), the third m/m slide in four months, after an unrevised 1.7% November gain.

By **market groups**, business equipment output advanced 0.8% (10.1% y/y) in December, up for the third time in four months, after a 0.3% increase in November. Consumer goods output rose 0.7% (0.7% y/y) after a 0.7% November rebound, reflecting a 0.7% decline (-3.5% y/y) in durable consumer goods and a 1.1% gain (1.8% y/y) in nondurable consumer goods. Materials production grew 0.2% (1.7% y/y), the third m/m increase in four months, after a 0.5% November rise. In contrast, construction supplies production fell 0.3% (+1.3% y/y) in December, the second m/m fall in three months, reversing a 0.3% increase in November.

In **special classifications**, factory output of selected high-tech industries increased 0.7% (10.9% y/y) in December, the third successive m/m gain, following a downwardly revised 0.5% rise in November (+1.1% initially). Manufacturing production excluding selected high-tech industries rose 0.2% (1.7% y/y) in December after a 0.3% gain in November, and manufacturing production excluding selected high-tech and motor vehicles & parts rose 0.3% (2.1% y/y) after a 0.4% increase; both measures posted their third m/m gain in four months.

Capacity utilization rose to 76.3% in December, the highest since July, from 76.1% in November (76.0% initially). The Action Economics Forecast Survey forecasted 76.0%. The December reading was 3.2 percentage points below its long-run (1972–2024) average. Manufacturing capacity utilization held at 75.6% in December and November (75.4% previously); the December rate was 2.6 percentage points below its long-run average.

Industrial production and capacity data are in Haver’s **USECON** database. Additional detail on production and capacity utilization can be found in the **IP** database. The expectations figures come from the **AS1REPNA** database.

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- December IP +0.4% (+2.0% y/y), third m/m rise in four months, led by a 2.6% gain in utilities.
- Manufacturing +0.2% (+2.0% y/y), w/ durables +0.1% and nondurables +0.3%.
- Selected high-tech +0.7%, third consecutive m/m rise; motor vehicles -1.1%, fourth straight m/m fall.
- Mining -0.7%, third m/m decline in four months.
- Key categories in market groups mostly increase.
- Capacity utilization at a five-month-high 76.3%; mfg. capacity utilization steady at 75.6%.

U.S. Industrial Production Increases in December on Utilities Rebound

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**EMERGEPR** → **China** → Other Statistics → Business Bankruptcy and Liquidation Cases

Bankruptcy and compulsory liquidation statistics for China were added to the **EMERGEPR** database. Concepts include cases accepted, cases closed, and cases pending for bankruptcies, compulsory liquidations, applications, appeals, and cases under supervision. These annual data are sourced from the Supreme People’s Court and start in 2017.

Chart: Bankruptcies are increasing in China, where a protracted economic slowdown, a property slump, and elevated corporate debt levels have triggered high-profile collapses, including developer China Evergrande Group and shadow bank Zhongzhi. Chinese courts handled 31,288 bankruptcy cases in 2024, up from 7,306 in 2019, which is a 328% increase over five years.

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