Back to Collections

Strategic decisions are only as good as the research that goes into making them. Candid's researchers analyze and interpret the most current philanthropic data so you can tap into it. Hundreds of full-text reports published over decades are available to download here in our frequently updated open access repository.

Also available: a collection of reports that use Candid data. Access the Candid data in the field library.

Search this collection

Clear all

3 results found

reorder grid_view

In Every County, Across All Budget Lines: White Overrepresentation in New York City’s Nonprofit Leadership

April 26, 2023

Nonprofit New York, Candid, SeaChange Capital Partners, and Thomas Economic Policy and Data Consulting, with the support of Robin Hood, conducted a comprehensive assessment in 2022 of the current leadership demographics of the nonprofit sector in New York City using demographic data from nonprofit organizations' Candid nonprofit profiles. This report seeks to establish updated baseline data to inform our understanding of racial and other demographic representation within nonprofit leadership in the New York City area. Eight New York counties are included in the analysis, including Bronx, Kings, Nassau, New York, Queens, Richmond, Suffolk, and Westchester Counties.Our research questions include:What are ways for determining BIPOC-led, as defined by BIPOC communities?What are the current racial, gender, sexual orientation, and (dis)ability demographics of nonprofit sector leaders in New York City?How do the demographics of New York City's nonprofit sector compare to the total population? How do the demographics of New York City's nonprofit sector compare to low-income New Yorkers?How are leadership demographics reflected in various nonprofit subsectors, including poverty alleviating organizations, and organizational sizes?Is there a relationship between the demographic makeup of an organization's leadership and its financial position?This report used a participatory research design to inform our definitions and data analysis. The project sought the perspective, expertise, and thought partnership from Black, Indigenous, and other People of Color (BIPOC) nonprofit associations, BIPOC-led poverty-alleviating organizations, nonprofit racial justice researchers, and BIPOC-identified nonprofit capacity builders.

The Financial Health of the United States Nonprofit Sector: Facts and Observations

January 1, 2018

The Financial Health of the United States Nonprofit Sector examines the finances of more than 219,000 U.S. nonprofits for FY 2010-2014. The findings are sobering:Around 50 percent have less than one month of cash reservesSome 30 percent have lost money over three yearsSome 7-8 percent are technically insolventIn this report, we provide some context setting with a brief overview of the size and scale of the US nonprofit sector and why its financial health matters. We look at the financial vital signs of the sector, analyzing key financial metrics segmented by size, sub-sector, and geography1. We describe practical steps that trustees and their organizations can take to strengthen their financial position. Finally, we offer some long-term ideas for how funders and the rest of the ecosystem can actively reduce the risks of financial distress in the nonprofit sector. We conclude with an appendix of tables summarizing key financial health indicators for the sector.

The Financial Health of Philadelphia-Area Nonprofits

October 1, 2017

As nonprofit organizations in the five Pennsylvania counties of Greater Philadelphia (Bucks, Chester, Delaware, Montgomery and Philadelphia) emerge from the financial crisis of the last decade and head into a very different and hard-to-forecast political and economic environment in the future, financial discipline, smart growth and strong governance are more important than ever. Accordingly, many nonprofit executives and governing boards are asking new questions about the organizations they govern. What risks do we face?1 How risky are we in relation to our peers? Are we doing the right things to understand and mitigate our risks? How should we balance financial risk against programmatic reward? What should we do to reduce the potential hardships from financial distress?