Gold Price in USD — Daily CSV Download
Gold is simultaneously a commodity, a monetary asset, and a hedge against inflation and systemic risk. This dataset provides the monthly average gold price in USD per troy ounce since 1960, sourced from the World Bank Commodity Price Data (Pink Sheet) — the institutional reference used by central banks, the IMF, and academic researchers worldwide. Its price relative to the dollar, to equities, or to oil reveals shifts in macro regime that other indicators miss.
Dataset: Gold Price — Monthly Average, USD (1960–2026) · Updated 2026-03-01
Macro Takeaway
This indicator is a key component of the macro-financial monitoring framework. Its current level relative to its historical distribution — captured in the percentile and z-score above — provides immediate context for whether conditions are historically normal, stretched, or compressed.
Cross-referencing with the real gold price and the US dollar index helps situate this indicator within the broader macro regime.
Dataset Overview
| Indicator | Gold Price — Monthly Average, USD (1960–2026) |
|---|---|
| Geography | Global (USD per troy ounce) |
| Frequency | Monthly |
| Period | 1960–2026 |
| Variables | date, gold_price_usd |
| Format | CSV, Excel (XLSX) |
| Sources | World Bank Commodity Price Data (Pink Sheet) |
| Last updated | — |
Dataset Variables
The CSV and Excel files contain the following columns.
| Column | Type | Description |
|---|---|---|
date | Date (YYYY-MM-DD) | First day of month |
gold_price_usd | Float | Monthly average gold price (USD per troy ounce) |
Column names match the CSV headers exactly.
Download the Complete Dataset
The full dataset is available in CSV and Excel formats.
Direct CSV Access — Eco3min Structured Dataset
https://eco3min.fr/dataset/gold-price.csv
This URL returns the complete dataset in CSV format. It can be used directly in pandas, R, curl, or any data tool.
Using the Dataset in Python
import pandas as pd url = "https://eco3min.fr/dataset/gold-price.csv" df = pd.read_csv(url, parse_dates=["date"]) print(df.head()) print(df.describe())
Using the Dataset in R
library(readr) url <- "https://eco3min.fr/dataset/gold-price.csv" df <- read_csv(url) head(df) summary(df)
Both examples load the dataset directly from the URL — no download or API key required.
Methodology
Monthly average gold price in USD per troy ounce, sourced from the World Bank Commodity Markets Outlook (CMO) historical data. The World Bank compiles this series from market sources including the London Bullion Market. Public domain data — no license restriction.
This dataset is updated automatically via the Eco3min data pipeline.
Historical Regimes
Historical regime analysis for this dataset will be added in a future update. The key stats block above provides immediate context for the current reading relative to the full historical distribution.
Related Macroeconomic Datasets
- Real Gold Price (CPI-Adjusted) — Gold purchasing power over time
- S&P 500 / Gold Ratio — Equity vs gold relative value
- Gold/Oil Ratio — Classic commodity pair
- Copper/Gold Ratio — Growth vs safety sentiment
- Silver Price History — Companion precious metal
Related Research
Macroeconomic Dataset Hub
This dataset is part of the Eco3min macro-financial data repository.
Explore the Eco3min Dataset Hub
Sources
- World Bank Commodity Price Data (Pink Sheet)
Dataset Reference
Last updated — 18 April 2026
This article provides economic and financial analysis for informational purposes only. It does not constitute investment advice or a personalized recommendation. Any investment decision remains the sole responsibility of the reader.