Retail electricity sales: transportation: District of Columbia (MWh) - United States - EIA - Monthly
This series is part of the dataset: US retail electricity prices (EIA)
Download Full Dataset (.xlsx)Latest updates. In the District of Columbia, the retail electricity sales in the transportation sector stood at 37,158 MWh in July 2026, compared to 32,393 in June 2026. This marks a gain of 14.7 percent.
Sample. There are 199 data points overall in the monthly time series presented in the figure above. The series covers the time range stretching from January 2010 to July 2026.
History. Here’s a quick look at a few statistics we computed on the full sample: the retail electricity sales had a mean value of 26,688 MWh; they reached their minimum of 56 in October 2019; they recorded their maximum of 65,415 in September 2019.
Latest values
| Date | Value - MWh |
|---|---|
| 2026-05-31 | 33,638.3 |
| 2026-06-30 | 32,393.1 |
| 2026-07-31 | 37,157.5 |
Suggestion. To make our users' life easier, we group indicators into data sets and worksheets. By moving down the page, you will discover how we arranged further material linked to the statistics found here.
Not for investment purposes. Content provided on this web site is not meant for investment purposes or as a basis for making financial decisions. Users should ask for professional advice and do independent analysis before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | Retail electricity sales for the transportation sector in District of Columbia |
| Country | United States |
| Economic concept | Flow |
| Data type | Quantity |
| Seasonally adjusted | No |
| Deflation method | Not applicable |
| Rescaling | None |
| Measure type | Level |
| Frequency | Monthly |
| Unit | MWh |
| Source | U.S. Energy Information Administration (EIA) |
| Source type | Government agency |
| Data licence | Public domain |
| Other information | Transportation sector state-level data begin in January 2010. |
| FSR temporal aggregation code | LM1 |
Series in the same data set
Discover the other time series included in this data set.