Prices for DXY Dollar Index including live quotes, historical charts and news. DXY Dollar Index was last updated by Trading Economics this October 20 of 2025.

The US dollar index of February 2025 was higher than it was in 2024, although below the peak in late 2022. This reveals itself in a historical graphic on the past 50 years, measuring the relative strength of the U.S. dollar. This metric is different from other FX graphics that compare the U.S. dollar against other currencies. By August 15, 2025, the DXY index was around 97.97 points. The history of the DXY Index The index shown here – often referred to with the code DXY, or USDX – measures the value of the U.S. dollar compared to a basket of six other foreign currencies. This basket includes the euro, the Swiss franc, the Japanese yen, the Canadian dollar, the British pound, and the Swedish króna. The index was created in 1973, after the arrival of the petrodollar and the dissolution of the Bretton Woods Agreement. Today, most of these currencies remain connected to the United States' largest trade partners. The relevance of the DXY Index The index focuses on trade and the strength of the U.S. dollar against specific currencies. It less on inflation or devaluation, which is measured in alternative metrics like the Big Mac Index. Indeed, as the methodology behind the DXY Index has only been updated once – when the euro arrived in 1999 – some argue this composition is not accurate to the current state of the world. The price development of the U.S. dollar affects many things, including commodity prices in general.

The DXY exchange rate rose to 98.5352 on October 17, 2025, up 0.20% from the previous session. Over the past month, the United States Dollar has strengthened 1.22%, but it's down by 4.77% over the last 12 months. United States Dollar - values, historical data, forecasts and news - updated on October of 2025.

Graph and download economic data for Nominal Broad U.S. Dollar Index (DTWEXBGS) from 2006-01-02 to 2025-10-10 about trade-weighted, broad, exchange rate, currency, goods, services, rate, indexes, and USA.

View market daily updates and historical trends for Trade Weighted US Dollar Index: Broad, Goods and Services. from United States. Source: Federal Reserve…

The official currency of Puerto Rico is the US Dollar. This dataset displays a chart with historical values for the US Dollar Index. United States Dollar - values, historical data, forecasts and news - updated on October of 2025.

Prices for USDJPY US Dollar Japanese Yen including live quotes, historical charts and news. USDJPY US Dollar Japanese Yen was last updated by Trading Economics this October 14 of 2025.

Comprehensive us dollar weighted average data with real-time values, historical trends, charts, and economic analysis. Track us dollar weighted average indicators for informed investment decisions.

When converted to the value of one US dollar in 2020, goods and services that cost one dollar in 1700 would cost just over 63 dollars in 2020, this means that one dollar in 1700 was worth approximately 63 times more than it is today. This data can be used to calculate how much goods and services from the years shown would cost today, by multiplying the price from then by the number shown in the graph. For example, an item that cost 50 dollars in 1970 would theoretically cost 335.5 US dollars in 2020 (50 x 6.71 = 335.5), although it is important to remember that the prices of individual goods and services inflate at different rates than currency, therefore this graph must only be used as a guide.

The EUR/USD exchange rate rose to 1.1663 on October 20, 2025, up 0.07% from the previous session. Over the past month, the Euro US Dollar Exchange Rate - EUR/USD has weakened 1.17%, but it's up by 7.83% over the last 12 months. Euro US Dollar Exchange Rate - EUR/USD - values, historical data, forecasts and news - updated on October of 2025.

At **** U.S. dollars, Switzerland has the most expensive Big Macs in the world, according to the January 2025 Big Mac index. Concurrently, the cost of a Big Mac was **** dollars in the U.S., and **** U.S. dollars in the Euro area. What is the Big Mac index? The Big Mac index, published by The Economist, is a novel way of measuring whether the market exchange rates for different countries’ currencies are overvalued or undervalued. It does this by measuring each currency against a common standard – the Big Mac hamburger sold by McDonald’s restaurants all over the world. Twice a year the Economist converts the average national price of a Big Mac into U.S. dollars using the exchange rate at that point in time. As a Big Mac is a completely standardized product across the world, the argument goes that it should have the same relative cost in every country. Differences in the cost of a Big Mac expressed as U.S. dollars therefore reflect differences in the purchasing power of each currency. Is the Big Mac index a good measure of purchasing power parity? Purchasing power parity (PPP) is the idea that items should cost the same in different countries, based on the exchange rate at that time. This relationship does not hold in practice. Factors like tax rates, wage regulations, whether components need to be imported, and the level of market competition all contribute to price variations between countries. The Big Mac index does measure this basic point – that one U.S. dollar can buy more in some countries than others. There are more accurate ways to measure differences in PPP though, which convert a larger range of products into their dollar price. Adjusting for PPP can have a massive effect on how we understand a country’s economy. The country with the largest GDP adjusted for PPP is China, but when looking at the unadjusted GDP of different countries, the U.S. has the largest economy.

Prices for USDIDR US Dollar Indonesian Rupiah including live quotes, historical charts and news. USDIDR US Dollar Indonesian Rupiah was last updated by Trading Economics this October 20 of 2025.

View monthly updates and historical trends for US Consumer Price Index: Purchasing Power Of the Consumer Dollar. from United States. Source: Bureau of Lab…

IMPI: Food and Live Animals data was reported at 112.000 1991=100 in Dec 1994. This records an increase from the previous number of 108.000 1991=100 for Sep 1994. IMPI: Food and Live Animals data is updated quarterly, averaging 110.500 1991=100 from Mar 1992 (Median) to Dec 1994, with 12 observations. The data reached an all-time high of 113.000 1991=100 in Mar 1994 and a record low of 97.000 1991=100 in Mar 1992. IMPI: Food and Live Animals data remains active status in CEIC and is reported by Philippine Statistics Authority. The data is categorized under Global Database’s Philippines – Table PH.I068: Import Price Index: US Dollar Base: 1991=100: Quarterly.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Purchasing Power of the Consumer Dollar in U.S. City Average (CUUR0000SA0R) from Jan 1913 to Aug 2025 about urban, consumer, CPI, inflation, price index, indexes, price, and USA.

Prices for BTCUSD Bitcoin US Dollar including live quotes, historical charts and news. BTCUSD Bitcoin US Dollar was last updated by Trading Economics this October 18 of 2025.

Graph and download economic data for Real Broad Effective Exchange Rate for United States (RBUSBIS) from Jan 1994 to Aug 2025 about broad, exchange rate, currency, real, rate, indexes, and USA.

Prices for USDVND US Dollar Vietnamese Dong including live quotes, historical charts and news. USDVND US Dollar Vietnamese Dong was last updated by Trading Economics this October 19 of 2025.

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Abstract

Currency exchange rate is an important metric to inform economic policy but traditional sources are often produced with delay during crises and only at an aggregate level. This may poorly reflect the actual rate trends in rural or poverty-stricken areas, where large populations reside in fragile situations. This data set includes currency exchange rate estimates and is intended to help gain insight in price developments beyond what can be formally measured by traditional methods. The estimates are generated using a machine-learning approach that imputes ongoing subnational price surveys, often with accuracy similar to direct measurement of prices. The data set provides new opportunities to investigate local price dynamics in areas where populations are sensitive to localized price shocks and where traditional data are not available.

Geographic coverage notes

The data cover the following sub-national areas: Attapeu, Bokeo, Bolikhamxai, Champasack, Houaphan, Khammouan, Louangphabang, Louangnamtha, Oudomxai, Phongsaly, Salavan, Savannakhet, Sekong, Vientiane Capital, Vientiane, Xaignabouly, Xiengkhouang, Market Average