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A crash course on trends analysis using Candid’s Foundation 1000 data set 

Candid

In comparison, our Foundation 1000 data set is limited to grants of $10,000 or more awarded by a set of 1,000 of the largest U.S. Why we use the Foundation 1000 sets for trends analysis As illustrated in the chart above, the Foundation 1000s’ grantmaking is much more stable over time compared to the broader grant data set.

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Pop the champagne: This year Candid’s grants data set turns 21!

Candid

2013-2014 – Tweens A decade in, the importance of consistent year-over-year comparisons grew. Analysis tip : We still create these annual data sets. Around this time, we also introduced the Philanthropy Classification System —a detailed coding system that provided more nuanced ways to explore this larger data set.

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Alt-labor: What are workers’ rights nonprofits?  

Candid

Instead, they rely on the same kinds of funding streams as traditional community-based nonprofits: individual donations, volunteers, and support from institutional philanthropy. We then reviewed the largest 1,000 organizations by revenue size and verified them for accuracy for this analysis. million to $35.6 million to $35.6

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Jump In Now to the Spring 2013 State of Grantseeking Survey

Tech Soup

advertising, surveys, reporting, and business analysis. That means that the information contained in the survey analysis report (which is free) is current, and catches the tide changes and zeitgeist of grantseeking as they happen. Can you help us make the Spring 2013 State of Grantseeking Survey a success? She works with.

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Your Voice Really Does Count: Why It Is Important to Participate in Surveys

Tech Soup

Participate when the analysis and reporting contain benchmarks that allow you to compare your own organization’s performance with that of your colleagues. What is your success rate in comparison with others in your mission focus/sector? ” Today, survey analytics are a breeze, and the number of surveys reflects that.

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Nonprofit Technology News for March 2014

Tech Soup

There’s even some strange philanthropy news compliments of former California governor Arnold Schwarzenegger. I like Ruth McCambridge’s analysis because she provides perspective, pointing to things like the accuracy of Rifkin’s predictions on the effects of computer automation on the world of work. This 25 th.

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