US Residential Electricity Price (2001–2026)
The US Residential Electricity Price is the national average retail rate paid by households, in cents per kilowatthour, published monthly by the EIA since 2001. It is the electricity number that matters to consumers — the rate behind the power bill — and it behaves very differently from wholesale power or the natural gas that generates much of it. It has risen steadily from 7.73 cents (2001) to an all-time high of 18.83 cents in April 2026.
Dataset: US Residential Electricity Price (2001–2026) · Updated 2026-05-01
Loading data…
Source: U.S. Energy Information Administration (EIA) · series electricity/retail-sales (sectorid=RES)
Macro Takeaway
Retail electricity does not track wholesale power or Henry Hub gas. Roughly half the residential rate is transmission and distribution — the grid, not the generation — which is regulated, capital-heavy, and rises steadily regardless of fuel costs. This is why the residential price climbs through gas-price crashes: the wires cost the same.
The series is one of the most reliably upward-trending prices in US macro: unlike volatile fuels, residential electricity has risen in most years for two decades, from 7.73 to 18.83 cents, because the regulated-utility rate base and grid investment compound rather than cycle. It is closer to a services price than a commodity.
Residential rates sit structurally above commercial and far above industrial rates — households are the most expensive customer class to serve (low volume, high last-mile distribution cost). The three-sector spread is stable and instructive: reading residential alone misses that industrial power, at 8.66 cents, is less than half the household rate.
Dataset Overview
| Indicator | US Residential Electricity Price (2001–2026) |
|---|---|
| Geography | United States |
| Frequency | Monthly |
| Period | 2001 – present |
| Variables | date, residential_electricity_price |
| Format | CSV, Excel (XLSX) |
| Sources | U.S. Energy Information Administration (EIA) |
| Last updated | — |
Dataset Variables
The CSV and Excel files contain the following columns.
| Column | Type | Description |
|---|---|---|
date | Date (YYYY-MM-DD) | First day of the reference month |
residential_electricity_price | Float | US average residential electricity price, cents per kilowatthour |
A value of 18.83 means households paid an average of 18.83 cents per kilowatthour that month.
Download the Complete Dataset
The full dataset is available in CSV and Excel formats.
EIA Direct API Access
The underlying data comes from the U.S. Energy Information Administration API v2 (route electricity/retail-sales, series electricity/retail-sales (sectorid=RES)). An EIA API key is free from the EIA developer portal.
Direct CSV Access — Eco3min Structured Dataset
https://eco3min.fr/dataset/eia/us-electricity-price-residential.csv
This URL returns the complete, cleaned dataset in CSV format. It can be used directly in pandas, R, curl, or any data tool — no key required.
Using the Dataset in Python
import pandas as pd
url = "https://eco3min.fr/dataset/eia/us-electricity-price-residential.csv"
df = pd.read_csv(url, parse_dates=["date"])
print(f"Latest: {df['residential_electricity_price'].iloc[-1]:.3f} cents/kWh")
print(df.tail())
Using the Dataset in R
library(readr) url <- "https://eco3min.fr/dataset/eia/us-electricity-price-residential.csv" df <- read_csv(url) tail(df) summary(df$residential_electricity_price)
Both examples load the dataset directly from the URL — no download or API key required.
Methodology
The EIA compiles the residential average from utility filings under Form EIA-826, dividing total residential revenue by total residential sales. It is a revenue-weighted average retail rate, all-in, updated monthly with a roughly two-month lag.
This dataset is refreshed daily (Mon–Sat) via automated pull from the EIA API v2; new observations appear with each source release.
Data Quality & Provider Notes
- Release lag. About two months — a revenue-and-sales average, not a spot price.
- What it includes. The all-in retail rate: generation, transmission, distribution, and fees, revenue-weighted.
- Not a wholesale price. Roughly half is regulated grid cost, decoupled from fuel markets.
- Seasonality. Mild — rates shift with seasonal tariffs and demand mix, far less than fuel prices.
- Known gaps. None; continuous monthly since January 2001.
Common Pitfalls When Using This Series
- Expecting it to follow natural gas. Half the rate is grid cost; residential electricity rose through the 2015–2020 gas glut.
- Confusing retail with wholesale power. Wholesale (LMP) prices are volatile and far lower per MWh; the retail rate is a regulated all-in average.
- Reading residential as the economy-wide price. Industrial power costs less than half as much; the sector matters.
- Treating it as a commodity. Its steady upward trend is a regulated-rate-base dynamic, not a supply-demand cycle.
Historical Regimes
2001–2008 — Steady climb. From 7.73 cents up through the 11-cent range as fuel and grid costs rose together.
2009–2014 — Slow grind higher. Gradual increases despite the recession — regulated rates are recession-resistant.
2015–2020 — Rising through the gas glut. Residential rates kept climbing even as natural gas collapsed, isolating the grid-cost component.
2021–2026 — Acceleration. Fuel inflation plus grid-modernization and reliability spending pushed rates to the all-time high of 18.83 cents by April 2026.
Related Macroeconomic Datasets
- US Commercial Electricity Price — the business-sector retail rate
- US Industrial Electricity Price — the lowest customer-class rate
- Natural Gas Price — Henry Hub — the generation fuel the retail rate does not track
- US CPI Inflation Rate — the index electricity feeds as a household cost
Macroeconomic Dataset Hub
This dataset is part of the Eco3min macro-financial data repository.
Explore the Eco3min Commodity Data Hub
Sources
- U.S. Energy Information Administration — Electricity Retail Sales, Form EIA-826 (residential sector, US average)
Dataset Reference
Last updated — 4 August 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.