US Airport Operations: Itinerant: Air Taxi (units; seasonally unadjusted) - United States - US Federal Aviation Administration - Monthly
This series is part of the dataset: US Airport Operations (FAA)
Download Full Dataset (.xlsx)Latest updates. In the United States, the number of itinerant airport operations (takeoffs and landings) classified in the Air Taxi category was 559,895 in November 2025, versus 630,579 in October. This constitutes a decrease of 11.21 percent.
Sample. There are 419 records in the monthly series presented in the plot above. The time span covered by the series goes from January 1991 to November 2025.
History. Have a look at a few statistics we computed on the whole sample: airport operations hit a peak of 1,124,059 in August 2005; they recorded a bottom of 216,052 in April 2020; they had a mean value of 768,066.
Latest values
| Date | Value - Units |
|---|---|
| 2025-09-30 | 606931.0 |
| 2025-10-31 | 630579.0 |
| 2025-11-30 | 559895.0 |
Nugget of wisdom. To make our users' life easier, we categorize time series into data sets and worksheets. By scrolling down, you will find how we arranged further information linked to the statistics provided here.
Not for investment purposes. Data and any other information found on FetchSeries are not not supposed to be used for investment purposes or as a basis for making financial decisions. Users should consult expert advice and do independent analysis before taking any financial risk.
Series Metadata
| Field | Value |
|---|---|
| Description | US Airport Operations: Itinerant: Air Taxi |
| Country | United States |
| Economic concept | Flow |
| Data type | Quantity |
| Seasonally adjusted | No |
| Deflation method | Not applicable |
| Rescaling | None |
| Measure type | Level |
| Frequency | Monthly |
| Unit | Units |
| Source | Federal Aviation Administration |
| Source type | Government agency |
| Data licence | Not copyrightable under U.S. law |
| Other information | Not available |
| FSR temporal aggregation code | SM1 |
Series in the same data set
Discover the other time series included in this data set.