Lancaster County Lodge No 2527 Loyal Order Of Moose
· $264K revenue
2 nonprofits in Lively, Virginia. See where $589K in donations goes — program spending, CEO pay, and red flags from IRS 990 filings.
| # | Organization | Category | Revenue | Score | AI Insight |
|---|---|---|---|---|---|
| 1 | Upper Lancaster Volunteer Fire Department | $325K | — | — | |
| 2 | Lancaster County Lodge No 2527 Loyal Order Of Moose | $264K | — | — |
Every tax-exempt nonprofit in the United States is required to file an IRS Form 990, which discloses financial details including revenue, expenses, assets, executive compensation, and program activities. NonprofitSpending uses AI to analyze these public filings and generate transparency reports for each organization.
For Lively, Virginia, we track 2 registered nonprofits. Our AI enrichment process evaluates each organization's spending efficiency, revenue trends, governance practices, and mission alignment to produce a mission score and honest headline. This data helps donors, journalists, researchers, and community members make informed decisions about the nonprofits operating in their city.
Data on this page is sourced from IRS 990 filings, IRS Business Master Files, and supplemented with AI-powered analysis. Filing dates, ruling dates, and financial figures reflect the most recent available data. For the most current information on any organization, click through to its individual transparency report.
There are 2 registered nonprofits in Lively, Virginia, with $589K in combined annual revenue and $0 in total assets.
The largest nonprofit in Lively by revenue is Upper Lancaster Volunteer Fire Department with $325K in annual revenue.
Various nonprofit categories operate in Lively.
Spending efficiency data is being compiled for nonprofits in Lively.
Executive compensation data is being compiled for nonprofits in Lively.
You can research any nonprofit in Lively by clicking on its name above to view its full AI-powered transparency report. Each report includes IRS 990 financial data, spending breakdowns, executive compensation, revenue trends, and AI-generated risk assessments based on publicly available filings.