Retail electricity revenue: transportation: Ohio (Thousand USD) - United States - EIA - Monthly
This series is part of the dataset: US retail electricity prices (EIA)
Download Full Dataset (.xlsx)Latest updates. In Ohio, the retail electricity revenue in the transportation sector was 261 Thousand USD in July 2026, compared to 258 in the previous month. This marks a rise of 1.3 percent.
Sample. There are 199 observations overall in the monthly time series presented in the figure above. The series covers the time range extending from January 2010 to July 2026.
History. Here's a glimpse of a few descriptive statistics we calculated on the whole sample: the retail electricity revenue had an average value of 232 Thousand USD; it achieved a maximum of 615 in December 2014; it reached a minimum of 0 in December 2022.
Latest values
| Date | Value - Thousand USD |
|---|---|
| 2026-05-31 | 243.390 |
| 2026-06-30 | 257.780 |
| 2026-07-31 | 261.200 |
Hint. To simplify exploration, we organize indicators into data sets and worksheets. Scrolling downwards, you will find how we structured further information linked to the statistics provided here.
Not for investment purposes. Data and any other information released on this web site are not meant for investment purposes or any other financial decision. Users should ask for professional advice and do their own independent due diligence before pledging money to any investment.
Series Metadata
| Field | Value |
|---|---|
| Description | Retail electricity revenue for the transportation sector in Ohio |
| Country | United States |
| Economic concept | Flow |
| Data type | Value |
| Seasonally adjusted | No |
| Deflation method | Not applicable |
| Rescaling | None |
| Measure type | Level |
| Frequency | Monthly |
| Unit | Thousand USD |
| 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.