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

Candid

One of the most common reasons people analyze Candid’s grant data is to understand year-over-year giving trends in the sector. To do so, it’s easy to assume that the best place to start is with as much data as possible. Instead, we rely on a data set called the Foundation 1000. foundations in a given year (see chart below).

Analysis 116
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Who is sharing nonprofit demographic data with Candid? 

Candid

Since 2014, Candid has been collecting demographic data about the people who work at U.S. To date, over 54,000 organizations have shared some data about how their staff and/or board identify by race/ethnicity, gender, sexual orientation, and/or disability status. Demographic data sharing varies by nonprofit subject category.

professionals

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Making meaning of Candid’s free demographic data set 

Candid

Today, Candid released our latest research manual, Analyzing Candid’s demographic data. nonprofits currently share some demographic data about their staff and board with Candid. In fact, about 1,000 nonprofits are now adding demographic data to their Candid profiles every month. Over 62,000 U.S. For example, U.S.

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Data as Decision in Grantmaking

sgEngage

In grantmaking, one word makes more eyes glaze over than any other – data. With one shift in our understanding about data, we can reclaim a sense of wonder, creative agency, and value in our data work: Recognizing that information does not equal data and data does not equal knowledge.

Data 104
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Pop the champagne: This year Candid’s grants data set turns 21!

Candid

Candid’s grants data set currently includes comprehensive information about over 30 million grants and other philanthropic transactions, such as pledges, in-kind gifts, program-related investments, etc. This data powers tools like Candid’s Foundation Directory , allowing users to see who’s giving what, where, and to whom.

Grant 98
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Demographic data dos and don’ts for funders 

Candid

Funders are increasingly using demographic data about the staff and leadership of the nonprofits they support to assess their impact and reach. At the same time, many of these same funders seek best practices in how to glean meaningful insights from this data. Identify questions you’re interested in using the data to answer.

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Using Data to Improve Health Policies and Outcomes

Forum One

For health data to impact health outcomes and related policies, the data must be made accessible to policymakers, health advocates, and other interested parties. Too often, health data is locked in massive datasets that are opaque to all but epidemiologists and statisticians.

Policy 69