Bangkok scenarios A, B, C
Adopted FY2026 is scenario A. B holds the estimated year (FY2025). C trims ledger offices and holds the total. Upload a proposed book, edit departments, then read the simulation against estimated and FY2024 actuals.
| Department | Adopted FY2026 | FY2025 est. | FY2024 actual | Scenario A |
|---|---|---|---|---|
| District office services | THB24.41B | — | — | |
| Administration | THB17.53B | — | — | |
| Central reserve | THB16.96B | — | — | |
| City development | THB12.34B | — | — | |
| Natural resources and environment | THB10.64B | — | — | |
| Public health | THB2.99B | — | — | |
| Subsidy to supervised agencies | THB2.91B | — | — | |
| Social and community development | THB2.21B | — | — | |
| Education | THB1.02B | — | — | |
| Commercial undertakings | THB783.88M | — | — | |
| Public order and safety | THB700.08M | — | — | |
| Economy and commerce promotion | THB209.56M | — | — |
Simulated results vs estimated
Each scenario is scored against the estimated year the city already printed. When actuals exist, MAPE says which book would have been closer — and learned department biases project the next year.
| Metric | A · Adopted FY2026 | B · Across-the-board −3% | C · Hold total · trim ledger offices |
|---|---|---|---|
| Total | THB92.7B | THB89.92B | THB92.7B |
| Vs estimated | — | — | — |
| Vs adopted | 0% | -3% | 0% |
| Top 3 concentration | 63.5% | 63.5% | 62.9% |
| Largest increase | District office services 0% | District office services -3% | Public health +5.5% |
| Largest cut | District office services 0% | District office services -3% | Administration -6.7% |
| MAPE vs actuals (hindsight) | needs actuals | needs actuals | needs actuals |
| Projected actual (learned) | — | — | — |
- Top 3 departments hold 63.5% of this scenario. Concentration is not waste, but it is where a bad year hides.
- Top 3 departments hold 63.5% of this scenario. Concentration is not waste, but it is where a bad year hides.
- Top 3 departments hold 62.9% of this scenario. Concentration is not waste, but it is where a bad year hides.
Learning starts when actuals land
This city's extract does not yet include a closed actuals year beside the estimate. The simulator still compares A/B/C to adopted and estimated; the learning loop turns on as soon as actuals are in the book.
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Upload as many proposed books as you run through council. We keep the scenarios, score them when estimated and actuals move, and the model tightens. This preview runs in the browser on the extract we already hold; the paid feed stores the city's own proposed files.