I mapped where nonprofit revenue is dominated by a few huge organizations [OC] Visualization
![I mapped where nonprofit revenue is dominated by a few huge organizations [OC] Visualization](/api/images/reddit-maps/1td4rgv_1778781601165.jpg)
Data Analysis
What This Visualization Shows
This data visualization displays "I mapped where nonprofit revenue is dominated by a few huge organizations [OC]" and provides a clear visual representation of the underlying data patterns and trends. The visualization focuses on Source: IRS 2024 SOI extracts for Form 990, 990-EZ, and 990-PF filers, matched to IRS BMF state records.
Method: I grouped filers by IRS record state, ranked organizations in each state by reported revenue, and calculated what share of that state's total reported nonprofit revenue came from the 10 largest filers.
Important limitation: State means the organization's IRS record state, not necessarily where all services happen. Revenue also does not mean profit, cash on hand, or charitable spending.
Why I made it: I work on nonprofit finance at Crowded, and we were looking at how different the nonprofit sector can look from state to state. People often picture small local charities, but in some states the reported revenue is heavily concentrated in a few large hospitals, universities, foundations, or health systems.
Crowded: [bankingcrowded.com](http://bankingcrowded.com)
Related subreddit: r/NonProfitFinance
No Crowded customer or product data was used for this chart.
, which allows us to understand complex relationships and insights within the data through visual storytelling.
Deep Dive into the Topic
Business data visualization transforms raw performance metrics into actionable insights that drive strategic decision-making and operational efficiency. Modern businesses generate enormous amounts of data from sales transactions, customer interactions, marketing campaigns, and operational processes that require sophisticated visualization techniques to extract meaningful patterns.
Sales and revenue visualizations help businesses track performance against targets, identify seasonal trends, and understand customer behavior patterns. Marketing analytics dashboards reveal campaign effectiveness, customer acquisition costs, and return on investment across different channels. Operational data visualization can highlight efficiency bottlenecks, resource utilization patterns, and quality metrics that impact business performance.
The strategic value of business data visualization extends to all organizational levels. Executives use high-level dashboards to monitor overall performance and market position. Managers rely on departmental analytics to optimize team performance and resource allocation. Front-line employees use real-time visualizations to track daily goals and identify immediate improvement opportunities. This democratization of data insights enables data-driven decision-making throughout the organization.
Data Analysis and Insights
The patterns revealed in this visualization demonstrate the importance of systematic data analysis in understanding complex phenomena. By examining different data segments, time periods, and categorical breakdowns, we can identify trends that inform strategic planning and decision-making processes.
Statistical analysis of this data reveals variations across different dimensions that provide insights into underlying drivers and relationships. These patterns help identify areas of opportunity, potential risks, and key performance indicators that can guide future actions and resource allocation.
The analytical approach used in this visualization enables comparison across different categories, time periods, or geographic regions, revealing insights that support evidence-based decision-making. This type of analysis is essential for organizations seeking to optimize performance and understand complex market dynamics.
Significance and Applications
This data visualization has important implications for understanding trends and patterns that affect decision-making across multiple sectors. The insights derived from this analysis can inform policy development, business strategy, resource allocation, and operational improvements.
For analysts, researchers, and decision-makers, this type of data visualization provides essential insights for strategic planning and performance optimization. Whether addressing operational challenges, market analysis, or policy development, understanding data patterns helps create more effective strategies and solutions.
The broader significance lies in how this information contributes to our understanding of complex systems and relationships. This knowledge helps predict future trends, identify potential challenges, and develop more informed approaches to problem-solving and opportunity identification.
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About the Author

Alex Cartwright
Senior Data Visualization Expert
Alex Cartwright is a renowned data visualization specialist and infographic designer with over 15 years of experience in...