Fort Worth 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 |
|---|---|---|---|---|
| Police | $329.82M | $327.21M | — | |
| Fire | $226.79M | $219.31M | — | |
| Transp & Public Works | $112.31M | $107.29M | — | |
| Non-Departmental | $84.22M | $42.05M | — | |
| PARD | $80.9M | $76.53M | — | |
| Property Mgmt | $35.73M | $36.35M | — | |
| Library | $31.24M | $29.52M | — | |
| Development Services | $30.45M | $30.03M | — | |
| Code Compliance | $28.91M | $27.16M | — | |
| Emergency Mgmt and Comms | $20.72M | — | — | |
| City Manager | $18.24M | $9.79M | — | |
| Municipal Court | $17.35M | $16.44M | — | |
| Financial Mgmt Services | $16.99M | $16.78M | — | |
| City Attorney | $12.54M | $12.01M | — | |
| FWLab | $11.89M | $12.67M | — | |
| Neighborhood Services | $11.41M | $17.51M | — | |
| Economic Development | $9.75M | $49.47M | — | |
| Human Resources | $8.51M | $8M | — | |
| Comm & Pub Engagem | $6.62M | $6.2M | — | |
| Environmental Services | $5.47M | $4.67M | — | |
| City Secretary | $3.1M | $2.9M | — | |
| City Auditor | $2.38M | $2.41M | — |
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 · Hold FY2025 estimated | C · Hold total · trim ledger offices |
|---|---|---|---|
| Total | $1.11B | $1.08B | $1.11B |
| Vs estimated | +4.8% | +2% | +4.8% |
| Vs adopted | 0% | -2.7% | 0% |
| Top 3 concentration | 60.5% | 60.8% | 61% |
| Largest increase | Non-Departmental +100.3% | Police 0% | Non-Departmental +98% |
| Largest cut | Economic Development -80.3% | Police 0% | Economic Development -80.5% |
| MAPE vs actuals (hindsight) | needs actuals | needs actuals | needs actuals |
| Projected actual (learned) | — | — | — |
- City Manager is +86.2% vs estimated — ledger offices grew in several of the mapped theft cases.
- Top 3 departments hold 60.5% of this scenario. Concentration is not waste, but it is where a bad year hides.
- Top 3 departments hold 60.8% of this scenario. Concentration is not waste, but it is where a bad year hides.
- City Manager is +69.4% vs estimated — ledger offices grew in several of the mapped theft cases.
- Top 3 departments hold 61% 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.
$1,500 / month on mapped cities
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.