Real Gold Price — Daily CSV Download
Nominal gold prices can be misleading across decades. A dollar in 1980 is not the same as a dollar in 2024. This dataset adjusts the World Bank gold price for US CPI inflation, revealing whether gold has truly preserved purchasing power. The 1980 peak was higher in real terms than the 2011 peak — a fact invisible in nominal charts. The real gold price is essential for evaluating gold as a long-term inflation hedge.
Dataset: Real Gold Price — CPI-Adjusted (1960–2026) · Updated 2026-04-01
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. The real-rate driver behind these inflation-adjusted moves is quantified in the inverse link between the real gold price and real interest rates.
Cross-referencing with the nominal gold price and the CPI inflation helps situate this indicator within the broader macro regime.
Dataset Overview
| Indicator | Real Gold Price — CPI-Adjusted (1960–2026) |
|---|---|
| Geography | United States (CPI-adjusted) |
| Frequency | Monthly |
| Period | 1960–2026 |
| Variables | date, real_gold_price |
| Format | CSV, Excel (XLSX) |
| Sources | World Bank Pink Sheet (Gold) + Bureau of Labor Statistics (CPIAUCSL) via FRED |
| Last updated | — |
Dataset Variables
The CSV and Excel files contain the following columns.
| Column | Type | Description |
|---|---|---|
date | Date (YYYY-MM-DD) | Observation date |
real_gold_price | Float | CPI-adjusted gold price (current USD) |
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/real-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/real-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/real-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
Gold price (World Bank monthly average) divided by CPI index, rebased to current-month CPI. Formula: Real Price = Nominal Gold / (CPI_t / CPI_latest).
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
- Gold Price History (Nominal) — The unadjusted series
- Real Crude Oil Price — Same methodology applied to oil
- Core CPI Inflation — The deflator used
Macroeconomic Dataset Hub
This dataset is part of the Eco3min macro-financial data repository.
Explore the Eco3min Dataset Hub
Sources
- World Bank Pink Sheet (Gold) + Bureau of Labor Statistics (CPIAUCSL) via FRED
Dataset Reference
Last updated — 3 June 2026
Disclaimer – Financial Information: The analyses, commentary, and content published on eco3min.fr are provided for informational and educational purposes only. They do not constitute investment advice or a solicitation to buy or sell financial instruments. Past performance is not indicative of future results. All investment decisions involve risk and are the sole responsibility of the reader.