Real Crude Oil Price: Monthly CSV Download (WTI, CPI-Adjusted, Since 1986)

The CPI-adjusted WTI crude oil price reveals the true economic burden of energy costs. The 2008 nominal peak of $145/bbl looks different in real terms when compared to the 1980 oil shock, and the 2020 COVID collapse looks even more extreme. Real oil prices determine the actual energy tax on consumers and the profitability threshold for producers.

Dataset: Real Crude Oil Price, WTI CPI-Adjusted (1986–2026) · Updated –

Latest Value
97.18
$/barrel (2024 dollars) · Sep 1, 2026
Historical Percentile
74.8th
Above average
Historical Average
76.17
$/barrel (2024 dollars) · 488 observations
Historical Range
HIGH
216.44
Jun 1, 2008
LOW
23.30
Nov 1, 1998
$/barrel (2024 dollars)

Data provided as is, with no warranty of accuracy or timeliness. Check any figure against the primary source cited on this page before using it. Terms: legal notice.

One email a month. The month's new study and the macro barometer, with links to the data behind them. Privacy policy



Loading data…

Source: FRED series DCOILWTICO · EIA (DCOILWTICO) & BLS (CPIAUCSL) via FRED · CPI deflation: Eco3min calculation


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.

Triangulated with the nominal WTI price and the CPI inflation helps situate this indicator within the broader macro regime.


Dataset Overview

IndicatorReal Crude Oil Price: WTI CPI-Adjusted (1986–2026)
GeographyGlobal (WTI benchmark)
FrequencyMonthly
Period1986–2026
Variablesdate, wti_nominal, cpi_index, wti_real
FormatCSV, Excel (XLSX)
SourcesEIA (DCOILWTICO) & BLS (CPIAUCSL) via FRED
Last updated–

Dataset Variables

The CSV and Excel files contain the following columns.

ColumnTypeDescription
dateDate (YYYY-MM-DD)Observation date
wti_nominalFloatWTI crude oil price (USD/bbl, nominal)
cpi_indexFloatCPI-U index level
wti_realFloatReal WTI price (CPI-adjusted, base year reference)

Column names match the CSV headers exactly.


Download the Complete Dataset

The full dataset is available in CSV and Excel formats.

Data provided as is, with no warranty of accuracy or timeliness. Check any figure against the primary source cited on this page before using it. Terms: legal notice.

One email a month. The month's new study and the macro barometer, with links to the data behind them. Privacy policy


FRED Direct CSV Access

The underlying data is available from FRED under series code DCOILWTICO:

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

Direct CSV Access: Eco3min Structured Dataset

https://eco3min.fr/dataset/real-oil-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-oil-price.csv"
df = pd.read_csv(url, parse_dates=["date"])

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

Using the Dataset in R

library(readr)

url <- "https://eco3min.fr/dataset/real-oil-price.csv"
df <- read_csv(url)

head(df)
summary(df$wti_nominal)

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


Methodology

WTI Cushing spot price (FRED: DCOILWTICO) deflated by CPI-U (FRED: CPIAUCSL). Monthly average of daily prices, CPI-adjusted to a common base year. The same real-burden logic applies at household scale in your fuel bill as a share of income.

This dataset is updated monthly via automated pull from the FRED API.


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. Figure drawn from the FRED DCOILWTICO series.


Related Macroeconomic Datasets

Real oil prices strip away the illusion of nominal price records. The 1980 oil shock was more extreme in real terms than the 2008 spike, and the energy transition’s impact on long-term real oil prices is the defining commodity question of the 2020s. How nominal oil moves translate into consumer prices is traced in our analysis of WTI-to-CPI pass-through.

Related Research

Oil crises have triggered, or coincided with, most of the major global events documented in the Dollar & Crises study. Real oil prices are the energy input to the macro regime. How that energy input transmits into the broader price level is covered in the complete guide to inflation.


Macroeconomic Dataset Hub

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

Explore the Eco3min Dataset Hub


Sources

  • EIA (DCOILWTICO) & BLS (CPIAUCSL) via FRED

Dataset Reference

Last updated — 6 November 2026

Disclaimer – Financial and Legal 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. Data, charts and calculated series are provided as is and may contain errors or lag behind their source: check any figure against the primary source cited before relying on it. Content describing laws, regulations or contracts reflects the law as of its publication date and does not constitute legal or tax advice; applying it to a specific situation requires a qualified legal or tax professional.

Data on this page: the series are collected automatically from the sources cited, then formatted or calculated by Eco3min (units, frequency, derived calculations). They may differ from the official release because of producer revisions, update lags, rounding or processing errors. They are provided as is, with no warranty of accuracy, completeness or timeliness. Before any professional, contractual or regulatory use, and before any financial decision, check the values against the primary source. To the extent permitted by law, the publisher accepts no liability for the consequences of using these data without that check.