FRED DTWEXBGS — Daily CSV Download (US Dollar Index)

The US Dollar Index (DTWEXBGS) measures the trade-weighted value of the US dollar against a broad basket of 26 currencies, including major emerging market partners. Published by the Federal Reserve, this index is a more comprehensive gauge of dollar strength than the DXY, which only tracks six developed-market currencies. The dataset provides daily observations since 2006.

Dataset: US Dollar Index (DTWEXBGS) · Updated —

Source: FRED series DTWEXBGS · Federal Reserve Bank of St. Louis

Macro Takeaway

Dataset Overview

Dataset Variables

The CSV and Excel files contain the following columns. Each row represents one business day.

Column names match the CSV headers exactly.

Download the Complete Dataset

The full dataset is available in CSV and Excel formats — daily observations of the trade-weighted dollar index.

FRED Direct CSV Access

The underlying data is published in FRED under the series code DTWEXBGS:

https://fred.stlouisfed.org/graph/fredgraph.csv?id=DTWEXBGS

The Eco3min dataset mirrors this series with consistent column naming and stable URLs designed for programmatic access in automated data pipelines.

Direct CSV Access — Eco3min Structured Dataset

https://eco3min.fr/dataset/us-dollar-index.csv

This URL returns the complete dataset in CSV format.

Using the Dataset in Python

import pandas as pd

url = "https://eco3min.fr/dataset/us-dollar-index.csv"
df = pd.read_csv(url, parse_dates=["date"])

print(df.head())
print(df["dollar_index"].describe())

Using the Dataset in R

library(readr)

url <- "https://eco3min.fr/dataset/us-dollar-index.csv"
df <- read_csv(url)

head(df)
summary(df$dollar_index)

Both examples load the dataset directly from the URL — no download or API key required.

Methodology

The Nominal Broad US Dollar Index (DTWEXBGS) is computed by the Federal Reserve Board of Governors using bilateral exchange rates weighted by each partner country’s share of US goods and services trade. The basket includes 26 currencies, making it substantially broader than the ICE US Dollar Index (DXY), which only tracks six currencies (EUR, JPY, GBP, CAD, SEK, CHF) with weights frozen since 1973.

The DTWEXBGS weights are updated annually to reflect changes in trade patterns. As of 2025, China, the Euro Area, Mexico, Canada, and Japan are the largest weights. This means the index captures the dollar’s strength against emerging market currencies — particularly the Chinese yuan — which the DXY ignores entirely.

The index is rebased to January 2006 = 100. Values above 100 indicate the dollar is stronger than in January 2006 on a trade-weighted basis; values below 100 indicate relative weakness. The index measures nominal exchange rates only; for real (inflation-adjusted) comparisons, the BIS publishes a separate real effective exchange rate index.

This dataset is updated weekly (Saturday 08:00 UTC) via automated pull from the FRED API. Daily observations reflect the previous business week’s exchange rates.

Historical Regimes

2006–2008 — Pre-crisis dollar weakness. The dollar index fell from 100 to below 95 as the US current account deficit widened to 6% of GDP and the Fed cut rates in response to the emerging housing crisis. This dollar weakness coincided with a commodity supercycle and rapid EM growth, as cheap dollar funding fueled carry trades into higher-yielding currencies.

2008–2011 — Crisis-driven safe haven. The dollar surged during the GFC as global deleveraging triggered a scramble for dollar liquidity. The Fed’s QE1 and QE2 programs temporarily weakened the dollar in 2009–2011, but the European sovereign debt crisis (Greece, Ireland, Portugal) ultimately pushed capital flows back toward US assets. The index oscillated between 95 and 105 during this volatile period.

2011–2016 — The great dollar rally. The index rose from 95 to 128, a 35% appreciation driven by divergent monetary policies: the Fed was tapering QE and signaling rate hikes while the ECB launched its own QE program and the BOJ pursued aggressive monetary easing under Abenomics. Commodity-exporting currencies collapsed as oil fell from $100 to $26, amplifying the dollar’s trade-weighted strength.

2017–2019 — Range consolidation. Despite Fed rate hikes, the dollar stabilized as the European and Asian economies recovered. The index traded in a narrow 115–125 range, with Trump administration trade policy creating episodic volatility but no sustained directional trend.

2020–present — Pandemic and tightening cycle. The dollar initially weakened as the Fed cut to zero and launched unlimited QE (2020), then surged to a 20-year high of 131 in September 2022 as the Fed executed its most aggressive tightening cycle in 40 years. The subsequent path has been shaped by the relative pace of central bank tightening globally, with the dollar moderating as other central banks (ECB, BOE) caught up.

Related Macroeconomic Datasets

The trade-weighted dollar transmits US monetary policy to the rest of the world. A strong dollar tightens financial conditions for $12+ trillion in offshore dollar debt. Cross-referencing with US rates and commodity prices helps isolate whether dollar moves are driven by relative growth (benign) or global risk aversion (disruptive).

Related Research

The dollar’s position at the onset of major global crises reveals a pattern: crises tend to erupt when the dollar is strong and US real rates are rising — the “wrecking ball” dynamic. The studies below document this relationship and its interaction with rate and liquidity regimes.

Macroeconomic Dataset Hub

This dataset is part of the Eco3min macro-financial data repository.

Explore the Eco3min Dataset Hub

Sources

• Board of Governors of the Federal Reserve System — Nominal Broad US Dollar Index (DTWEXBGS)
• Federal Reserve Bank of St. Louis — FRED database
• Bank for International Settlements — Effective Exchange Rate Indices methodology

Suggested Citation

Eco3min Research. (2026). US Dollar Index — DTWEXBGS (2006–2026).<br> https://eco3min.fr/en/us-dollar-index-dataset-dtwexbgs/