Lithuania Personal Income Tax Rate

Name: Lithuania Personal Income Tax Rate
Creator: Agentic Investor

Lithuania · Annual series · EC-LT-PITR

Latest, 2026

32.0%

+0.00pp from 2025

Open interactive chartLithuania Personal Income Tax Rate in the app

History through 2026, the forecast path to 2029 (dashed) and its 80% interval (shaded).

Forecast

Forecast for 2029: 32.1%, with an 80% interval of -173.3% to 105.2%.

Forecast path. Intervals are shown where available.
Period	Forecast	80% low	80% high
2027	32.2%	28.4%	43.7%
2028	32.2%	-44.7%	106.4%
2029	32.1%	-173.3%	105.2%

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

AI confidence

Limited evidence

At least 6 complete tests are required; 4 are available.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive: n/aToo few tests (4 tests, 6 needed) (4 tests, 2 won)
Direction: n/aToo few tests (4 tests, 6 needed) (5 of 5 calls right in 2 tests)
Turning points: n/aToo few tests (4 tests, 6 needed) (0 turns in 4 tests, 3 without a turn)

Error vs baseline: 4% higherError ratio 1.04; 1.00 is a tie.
Tests won: 2 / 4Complete rolling backtests; ties count as no win.
Test period: 2015-12-01 to 2026-12-013 observations ahead per test.
80% band coverage: 75%Observed outcomes inside the band across all stored test windows.

Band coverage uses all stored test windows, including model-selection windows when present; it does not determine the confidence label.
Evaluated 2026-11-15 against the cached history through 2026-12-01.
This is an evaluation of the serving model; it does not establish a winner across four model classes.

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 78% of the 9 earlier readings since 2017.

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

Recent history (24 observations)

The 24 most recent observations, newest first.
Period	Value
2026	32.0%
2025	32.0%
2024	32.0%
2023	20.0%
2022	20.0%
2021	20.0%
2020	20.0%
2019	20.0%
2018	15.0%
2017	15.0%
2016	15.0%
2015	15.0%
2014	15.0%
2013	15.0%
2012	15.0%
2011	15.0%
2010	15.0%
2009	15.0%
2008	24.0%
2007	27.0%
2006	27.0%
2005	33.0%
2004	33.0%
2003	33.0%

Source

Data: public market data feeds.