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Haver Adds Bhutan Hydropower, Argentina and EIU Index Data
- September 24, 2026
- Posted by: Clean Energy Skills
- Category: hydropower

Estimated reading time: 5 minutes · Last updated:
Haver data additions on September 23, 2026 expand energy and macro datasets that analysts use for supply and policy monitoring. The update adds electricity supply statistics for Bhutan — including production, exports and domestic sales for nine major hydropower plants and monthly series in kWh and BTN that begin in January 2010 — plus Argentina tax, social security and customs revenue tables and EIU monetary policy diffusion indexes covering 43 aggregates. The Bhutan chart in the release shows YTD domestic hydropower sales in June 2026 at 9.4 billion BTN versus 1.7 billion BTN five years earlier; the Argentina note records PAIS tax receipts of 780 billion pesos in June 2024 and 6.27 trillion pesos in 2024. These new series arrive with EIU quarterly forecasts through the end of 2027 and annual forecasts through 2030.
Key takeaways
- Bhutan hydropower: YTD domestic hydropower sales in June 2026 totaled 9.4 billion BTN, up from 1.7 billion BTN five years earlier; monthly series start in January 2010.
- Argentina revenue: EMERGELA now includes tax, social security and customs revenue tables for Argentina with monthly data from January 2003; PAIS tax collected 6.27 trillion pesos in 2024 and 780 billion pesos in June 2024.
- EIU diffusion indexes: EIURSKF adds monetary policy diffusion indexes across 43 geographic and thematic aggregates with quarterly forecasts through the end of 2027 and annual forecasts through 2030.
Table of contents
What the Haver additions cover and why they matter
Haver’s featured data additions bundle three distinct datasets relevant to energy and macro monitoring: Bhutan electricity supply tables in the ENERGY database, Argentina public finance line items in EMERGELA, and EIU monetary policy diffusion indexes in EIURSKF. Each table is sourced in the release: the Bhutan series cite the Royal Monetary Authority and report monthly kWh and BTN back to January 2010; the Argentina revenue tables cite Agencia de Recaudacíon y Control Aduanero and begin in January 2003; the diffusion indexes are sourced to the EIU and start in 2010. For analysts who model cross-border energy trade or policy risk, having these series in one provider’s platform reduces friction in trend comparisons and scenario testing.
The dataset mix links seasonal physical supply information with fiscal and monetary indicators. That combination helps researchers compare hydropower availability in Bhutan against regional demand and currency or fiscal stress in trading partners, and it lets policy analysts test how central‑bank tightening signals tracked by the EIU align with sovereign revenue trajectories such as Argentina’s PAIS receipts.
Bhutan hydropower tables: scope, signals and limits
Haver Analytics added electricity supply statistics for Bhutan to its ENERGY database as monthly series in kWh and BTN, covering production, exports and domestic sales for nine major hydropower plants. The release notes that in 2022 Bhutan began importing more electricity than it exported, and that the country’s growing reliance on hydropower makes output sensitive to seasonal water flow and winter peak demand. The chart referenced in the update shows year‑to‑date domestic hydropower sales in June 2026 at 9.4 billion BTN compared with 1.7 billion BTN five years earlier.
Users should note the dataset’s unit and vintage: monthly reporting begins in January 2010 and values are denominated in BTN, which matters when integrating with price or demand series reported in other currencies or units. The release also includes a separate table for total electricity and solar power costs and quantities; where a model needs firm capacity pathing for power-system planning, users will still need plant-level dispatch or capacity factor series that the update does not list by name.
Argentina revenue tables and the EIU diffusion indexes
EMERGELA’s new Argentina table brings almost fifty line items of government revenue, with monthly data in Argentine pesos sourced to Agencia de Recaudacíon y Control Aduanero and series starting in January 2003. The release singles out the PAIS tax, noting it generated 780 billion pesos in June 2024 and collected 6.27 trillion pesos over 2024 before expiring in early 2025. Those figures create a clear structural break in revenue series that fiscal forecasters must treat explicitly.
The EIURSKF addition supplies monetary policy diffusion indexes from the EIU across 43 geographic and thematic aggregates, with data from 2010 and quarterly forecasts through the end of 2027 plus annual forecasts through 2030. The release observes a strong correlation between the EIU North America diffusion index and changes in the US federal funds rate and reports that, as of the dataset note, the EIU index signaled tightening into Q1 2027 with easing in Q2, while the current BCFF projects no further tightening in 2027 and some easing in Q2 and Q4.
| Dataset | Source | Start | Key figures |
|---|---|---|---|
| Bhutan hydropower tables | Royal Monetary Authority | Jan 2010 | Nine major plants; sales in kWh and BTN; 9.4 billion BTN YTD sales (June 2026) |
| Argentina revenue (EMERGELA) | Agencia de Recaudacíon y Control Aduanero | Jan 2003 | Almost 50 revenue line items; PAIS tax 6.27 trillion pesos in 2024; 780 billion pesos in June 2024 |
| EIU diffusion indexes (EIURSKF) | EIU | 2010 | 43 aggregates; quarterly forecasts to end‑2027; annual forecasts to 2030 |
How the new series could reshape short-term analysis
The case for
- Combined fiscal and supply series allow analysts to link revenue shocks and policy shifts to cross-border electricity trade modeling.
- EIU diffusion forecasts through end of 2027 give a short-run policy signal that can be back‑tested against central bank rate moves.
The case against
- Seasonal hydropower variance in Bhutan creates noise that can mislead trend estimates without capacity‑factor or inflow controls.
- The PAIS tax expiry in early 2025 introduces a structural break in Argentina revenue series that complicates year‑over‑year comparisons.
What to be careful about
- Interpretation risk from seasonal hydropower swings: Bhutan’s reliance on river flows reduces the signal-to-noise ratio for short windows.
- Revision risk in diffusion forecasts: the EIU data are updated weekly and quarterly forecasts currently extend only to the end of 2027.
- Structural break risk in Argentina revenue owing to the PAIS tax expiry in early 2025 that affects trend and elasticities estimates.
The bottom line
The September 23, 2026 featured data additions broaden Haver’s coverage by linking a detailed hydropower time series for Bhutan with a granular Argentina revenue table and EIU monetary diffusion indexes. Each dataset carries its own caveats — seasonality in hydropower, a fiscal structural break in Argentina after the PAIS tax, and forecast revision risk in the EIU indexes — but together they make it easier to test scenarios that span physical energy flows and policy shifts. Analysts should pull the metadata for plant-level identifiers, revenue-line definitions and the EIU methodology before folding these series into production models.
What to watch
- watch EIU quarterly diffusion forecast updates through the end of 2027, as weekly updates may alter the signal for Q1 2027; the forecasts are included in the EIURSKF table.
- watch the annual EIU diffusion forecasts through 2030 for changes in longer-term policy synchronization that the EIURSKF table makes available.
Frequently asked questions
What does the Bhutan dataset include?
The Bhutan tables cover production, exports and domestic sales for nine major hydropower plants, report monthly in kWh and BTN, and begin in January 2010; a separate table lists quantities and costs for total electricity and solar power.
How material is the PAIS tax to Argentina’s revenue series?
According to the EMERGELA entry, PAIS was a major revenue source that produced 780 billion pesos in June 2024 and 6.27 trillion pesos over 2024 before expiring in early 2025, creating a clear structural break in the revenue time series.
What do the EIURSKF diffusion indexes show and how far do forecasts go?
EIURSKF’s monetary policy diffusion indexes track direction and intensity across 43 geographic and thematic aggregates from 2010; quarterly forecasts extend through the end of 2027 and annual forecasts through 2030.
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