Mexico Tourism Revenues

Mexico · Monthly series · EC-MX-TR

Latest, August 2026

2.41B USD

-18.6% from July 2026

Open interactive chartMexico Tourism Revenues in the app

4.186B2.158B130.1MSeptember 2016August 2027
History through August 2026, the forecast path to August 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for August 2027: 2.50B USD, with an 80% interval of 2.09B USD to 2.93B USD.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
September 20262.00B USD1.90B USD2.09B USD
October 20262.44B USD2.19B USD2.70B USD
November 20262.97B USD2.82B USD3.12B USD
December 20263.82B USD3.49B USD4.19B USD
January 20273.47B USD2.95B USD3.99B USD
February 20273.33B USD3.11B USD3.54B USD
March 20273.66B USD3.32B USD4.00B USD
April 20273.03B USD2.51B USD3.57B USD
May 20272.77B USD2.38B USD3.19B USD
June 20272.97B USD2.50B USD3.46B USD
July 20273.11B USD2.46B USD3.77B USD
August 20272.50B USD2.09B USD2.93B USD

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-14.

AI confidence

Supported evidence

The point forecast beat the no-change baseline overall and in a majority of the evaluated tests.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
+56%Beats the no-change baseline over 12 tests (12 tests, 11 won)
Direction
90%Beats a coin flip (130 of 144 calls right in 12 tests)
Turning points
68 of 68Anticipated most turns (68 turns in 12 tests, 0 without a turn)
Error vs baseline
56% lowerError ratio 0.44; 1.00 is a tie.
Tests won
11 / 12Complete rolling backtests; ties count as no win.
Test period
2014-09-01 to 2026-08-0112 observations ahead per test.
80% band coverage
78%Observed outcomes inside the band across all stored test windows.
How this assessment is made

AI confidence describes historical evidence for this forecast, not a probability of being correct. Each backtest fits on data available before its test window. The baseline carries the last value forward. Supported evidence requires at least six complete, non-overlapping tests, an error ratio below 0.90 (rounded to two decimals), and wins in a majority of tests. Ratios from 0.90 to below 1.10 are on par; 1.10 or above is weak evidence. Inconsistent wins produce mixed evidence. For a selected model, only the recent tests excluded from model selection determine this label. These are historical simulations using the available data, not a live trading track record; revisions and foundation-model pretraining can limit how closely they reproduce a past decision. Past performance can change.

Replay past tests

Model comparison

Comparison pendingA new ticker first receives its serving model's forecast and evaluation. An eligible nightly batch can compare both candidates, subject to call budgets and retry limits.

Reading

It is above 66% of the 119 earlier readings since September 2016.

Written from the figures by a fixed template; no AI model is involved.

Recent history (24 observations)
The 24 most recent observations, newest first.
PeriodValue
August 20262.41B USD
July 20262.96B USD
June 20262.91B USD
May 20262.61B USD
April 20262.97B USD
March 20263.54B USD
February 20263.27B USD
January 20263.48B USD
December 20253.77B USD
November 20253.00B USD
October 20252.44B USD
September 20251.84B USD
August 20252.25B USD
July 20253.00B USD
June 20252.75B USD
May 20252.62B USD
April 20253.04B USD
March 20253.67B USD
February 20253.00B USD
January 20253.07B USD
December 20243.42B USD
November 20242.52B USD
October 20241.98B USD
September 20241.61B USD

Source

Data: public market data feeds.

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