Monthly Tax Revenue Trends
Time series analysis and seasonal patterns for Wyoming municipalities. Track tourism spikes, e-commerce impact, and economic cycles.
About This Analysis
This monthly revenue analysis provides deep insights into tax distribution patterns over time. Track revenue trends, identify seasonal patterns (tourism spikes, holiday shopping), and monitor the impact of e-commerce on local tax revenue through sales vs use tax comparisons.
Coverage
FY2007-FY2026 (17 years)
Data Points
32,307 monthly distribution records
Tax Types
Sales tax (in-store) and use tax (online/remote) tracked separately
Data Coverage Notes
- • Full Coverage: FY2012-2020, FY2024-2026 (2,052-2,808 records per year)
- • In Progress: FY2007-2011 and FY2021-2023 data are being processed and will be added in future updates
- • Municipalities: 94 cities and towns with monthly data
Select Municipality
Select a municipality above to view monthly trends and analysis
Analysis Use Cases
1. Tourism Season Identification
Seasonal pattern charts reveal tourism peaks. For Jackson (Teton County), expect lodging and accommodation tax spikes June-August. Park County shows similar patterns near Yellowstone gateway communities.
2. E-Commerce Impact
Sales vs use tax comparison tracks online shopping growth. Use tax (remote purchases) growing faster than sales tax (in-store) indicates e-commerce impact on local retail. Compare ratios over time to quantify this shift.
3. Economic Cycle Tracking
Monthly time series reveals boom/bust cycles in energy-dependent counties. Campbell County (coal mining) and Sublette County (natural gas) show revenue drops during energy downturns (2015-2016, 2020).
4. Budget Forecasting
Historical monthly patterns enable seasonal revenue forecasting. Local governments can predict cash flow needs based on typical high/low months for their municipality.
5. Policy Impact Assessment
Track revenue changes after tax rate adjustments, economic development initiatives, or major employer arrivals/departures. Monthly granularity shows immediate impacts vs. long-term trends.