Denver scenarios A, B, C
Adopted FY2027 is scenario A. B holds the estimated year (FY2026). C trims ledger offices and holds the total. Upload a proposed book, edit departments, then read the simulation against estimated and FY2025 actuals.
| Department | Adopted FY2027 | FY2026 est. | FY2025 actual | Scenario A |
|---|---|---|---|---|
| Public Safety | $662.11M | $646.48M | — | |
| Independent Agencies | $161.53M | $156.44M | — | |
| Parks, Recreation, and Culturals | $140.97M | $138.44M | — | |
| Transportation and Infrastructure | $114.94M | $114.23M | — | |
| Finance | $104.88M | $105.32M | — | |
| Technology Services | $96.46M | $96.01M | — | |
| Health | $72.47M | $71.76M | — | |
| Housing Stability | $71.3M | $72.19M | — | |
| General Services | $70.24M | $69.51M | — | |
| General Administration | $60.36M | $57.8M | — | |
| Community Planning and Development | $37M | $36.51M | — | |
| Economic Development | $4.67M | $4.51M | — |
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 FY2027 | B · Hold FY2026 estimated | C · Hold total · trim ledger offices |
|---|---|---|---|
| Total | $1.6B | $1.57B | $1.6B |
| Vs estimated | +1.8% | 0% | +1.8% |
| Vs adopted | 0% | -1.7% | 0% |
| Top 3 concentration | 60.4% | 60% | 61.4% |
| Largest increase | General Administration +4.4% | Public Safety 0% | Public Safety +5.4% |
| Largest cut | Housing Stability -1.2% | Public Safety 0% | Finance -9.3% |
| MAPE vs actuals (hindsight) | needs actuals | needs actuals | needs actuals |
| Projected actual (learned) | — | — | — |
- Top 3 departments hold 60.4% of this scenario. Concentration is not waste, but it is where a bad year hides.
- Top 3 departments hold 60% of this scenario. Concentration is not waste, but it is where a bad year hides.
- Top 3 departments hold 61.4% 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.