Non Profit Organizations

Summary The City and County of San Francisco contracts with hundreds of nonprofit organizations to provide services for San Franciscans. These services include healthcare, legal aid, shelter, children’s programming, and more. This dataset contains all payments issued to nonprofit organizations by City departments since FY2019. This dataset will be updated at the close of each fiscal year. The underlying data is pulled from Supplier Payments on SF OpenBook. Please use SF OpenBook to find current-year data. The data in this dataset are presented in easy-to-read dashboards on our website. View the dashboards here: https://www.sf.gov/data/san-francisco-nonprofit-contracts-and-spending. How the dataset is created The Controller’s Office performs several significant data cleaning steps before uploading this dataset to the SF Open Data Portal. Please read the cleaning steps below: Cleaning Steps 1. SF OpenBook provides a filter labeled “Non-Profits Only” (Yes, No), and resulting datasets exported from SF OpenBook include a “Non Profit” column to indicate whether the supplier is a nonprofit (Yes, Blank). However, this field is not always accurate and excludes about 150 known nonprofits that are not labeled as a nonprofit in the City’s financial system. To ensure a complete dataset, we exported a full list of supplier payment data from SF OpenBook with the “Non-Profits Only” field filtered to “No” which provides a list of all supplier payments regardless of nonprofit status. We cleaned this data by adding a new “Nonprofit” column within the dataset and used this column to note a nonprofit status of “Yes” for approximately 150 known nonprofit suppliers without this indicator flagged in the financial system in addition to any nonprofits already accurately flagged in the system. We then filtered the full dataset using the new nonprofit column and used the filtered data for all of the dashboards on the webpage linked above. The list of excluded nonprofits may change over time as information gets updated in the City’s data system. Download the cleaned and updated dataset on the City’s Open Data Portal, which includes all of the known nonprofits. While the University of California, San Francisco (UCSF) is technically not-for-profit, a university’s financial management is very different from traditional nonprofit service providers, and the City’s agreement with UCSF includes hospital staffing in addition to contracted services to the public. As such, the Controller's Office created a nonprofit column to be able to exclude payments to UCSF when reporting on overall spending. There are divisions of UCSF that provide more traditional contracted services, but these cannot be clearly identified in the data. Note that filtering out this data may reflect an underrepresentation of overall spending. The Controller's Office also excludes several specific contracts that are predominately “pass through” payments where the nonprofit provider receives funds that they disperse to other agencies, such as for childcare or workforce subsidies. These types of contracts are substantially different from contracts where the nonprofit is providing direct services to San Franciscans. Update process This dataset will be manually updated after year-end financial processing is complete, typically in September. There may be a delay between the end of the fiscal year and the publication of this dataset.

The Nonprofit Research Activities (NPRA) module of the Annual Business Survey measures research and experimental development (R&D) performance and funding at U.S. 501(c) nonprofit organizations. The data is collected by the Census Bureau in partnership with the National Center for Science and Engineering Statistics within the National Science Foundation.

List of nonprofits in the King County Employee Giving Program Annual Drive

A. SUMMARY This dataset is a cleaned and anonymized version of survey data gathered in FY23 from nonprofits who contract with the City and County of San Francisco. Each row is one organization and data includes general information about the nonprofit's services, finances, and operations, and summary demographic data about each nonprofit's workforce. B. HOW THE DATASET IS CREATED This dataset was generated through conducting a two-tiered survey gathering data on organizational characteristics and position-level data from nonprofits who contract with the City and County of San Francisco in FY23. The survey was fielded in October and November of 2022. 152 nonprofits provided organizational-level data and summary data about their workforce. 29 of those organizations (referred to as "Cohort Organizations") provided additional position-level data. This dataset includes organization-level data for the 152 respondent organizations. For further details on survey methodology, please review page 39 of the Nonprofit Wage and Equity Survey report, linked below in "Related Reports." C. UPDATE PROCESS Data is a one-time survey and will not update. D. HOW TO USE THIS DATASET Review code book, attached in the "About this Dataset" section. E. RELATED REPORTS This dataset informs the Nonprofit Wage and Equity Survey Report, released by the Controller's Office in April 2023. Nonprofit Wage and Equity Survey F. RELATED DATASETS This dataset is one of two datasets of survey data from the Nonprofit Wage and Equity Survey (FY23). Position-level data can be viewed on the Open Data Portal. Nonprofit Wage and Equity Survey - Position-Level Cohort Data - FY23

Listing of all active businesses currently registered with the Office of Finance. An "active" business is defined as a registered business whose owner has not notified the Office of Finance of a cease of business operations. Update Interval: Monthly.

The global nonprofit donation software market is experiencing robust growth, driven by the increasing reliance of nonprofits on digital fundraising strategies and the rising adoption of cloud-based solutions. This market, estimated at $2.5 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching approximately $7 billion by 2033. This expansion is fueled by several key factors. Firstly, the ease of use and scalability of cloud-based platforms are attracting a wider range of nonprofits, from small local charities to large international organizations. Secondly, the integration of features such as online donation processing, donor management, and campaign tracking provides nonprofits with valuable data-driven insights to optimize fundraising efforts. Thirdly, the increasing awareness of online security and data privacy is driving demand for robust and secure donation platforms, which are becoming increasingly crucial for maintaining donor trust. The market segmentation reveals a significant preference for cloud-based solutions over on-premises systems due to cost-effectiveness, flexibility, and accessibility. Furthermore, individual donors constitute a large portion of the market due to the convenience offered by online donation platforms, although nonprofit organizations are also driving significant growth. The market, however, faces certain restraints. Competition among established players and emerging startups is intensifying, placing pressure on pricing and features. The integration complexities with existing systems and the need for ongoing technical support can present challenges for smaller nonprofits. Furthermore, data security concerns and compliance with ever-evolving regulations represent ongoing hurdles for both software providers and their nonprofit clients. Geographical distribution showcases North America as a dominant market, followed by Europe and Asia Pacific. However, developing regions are showing promising growth potential as digital adoption rates improve and awareness of online fundraising options increases. The competitive landscape is crowded, with established players like CiviCRM and NeonCRM competing with newer, innovative solutions. This dynamic environment is expected to drive further innovation and market consolidation in the coming years. The market's continued trajectory depends on factors such as technological advancements, evolving donor expectations, and the overall economic climate.

Provide information for non-profit organizations. The data is to provide information such as educational, cultural, public welfare, and charitable organizations or groups applying for unified tax registration (change) in accordance with Article 11, Paragraph 4 of the Income Tax Act accepted by the local national tax authorities for reference only. If the inquiry content does not match the actual situation, the registration information of the competent authority shall prevail.The data link was adjusted on June 22, 2020 to https://eip.fia.gov.tw/data/BGMOPEN99.csv

Data on individual compensation by nonprofit organizations as submitted on e-filed Form 990 and released publicly by the IRS

These data represent almost 2,000 of the largest parachurch Christian nonprofit organizations based in the United States. The data were built using forms filed with the "https://www.irs.gov/" Target="_blank">Internal Revenue Service in 2005. Variables include measures of revenue, expenses, activities and religious identity as measured by the organization's statement of purpose.

Graph and download economic data for Households and Nonprofit Organizations; Net Worth, Level (TNWBSHNO) from Q4 1945 to Q1 2025 about balance sheet, net worth, nonprofit organizations, Net, households, and USA.

Nonprofit corporations active on the record of the Secretary of State Corporation Division as of the first working day of the month.

United States Liabilities: BS: Households & Nonprofit Organizations(HNO) data was reported at 15,574.178 USD bn in Mar 2018. This records an increase from the previous number of 15,530.656 USD bn for Dec 2017. United States Liabilities: BS: Households & Nonprofit Organizations(HNO) data is updated quarterly, averaging 2,051.099 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 15,574.178 USD bn in Mar 2018 and a record low of 85.567 USD bn in Dec 1951. United States Liabilities: BS: Households & Nonprofit Organizations(HNO) data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB070: Balance Sheet: Household and Nonprofit Organizations.

Graph and download economic data for Households and Nonprofit Organizations; Total Assets, Transactions (BOGZ1FU152000005Q) from Q4 1946 to Q1 2025 about nonprofit organizations, transactions, households, assets, and USA.

This dataset is used to analyze the role of nonprofit organizations in fostering corporate environment responsibility. It includes 831 banking services companies from over 65 countries and information on the number of nonprofits near the company headquarters.

Updated 4/2/2018 Nonprofit corporations active on the record of the Secretary of State Corporation Division as of the first working day of the month.

Comprehensive dataset of 18,593 Non-profit organizations in California, United States as of August, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 165 Charities in Oregon, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

HNO: Assets: by Holdings: Financial: DS: IH: Life Insurance Cos data was reported at 398.974 USD bn in Dec 2024. This records a decrease from the previous number of 406.132 USD bn for Sep 2024. HNO: Assets: by Holdings: Financial: DS: IH: Life Insurance Cos data is updated quarterly, averaging 0.000 USD bn from Dec 1951 (Median) to Dec 2024, with 293 observations. The data reached an all-time high of 486.170 USD bn in Jun 2021 and a record low of 0.000 USD bn in Sep 1990. HNO: Assets: by Holdings: Financial: DS: IH: Life Insurance Cos data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.AB072: Balance Sheet: Household and Nonprofit Organizations.

As a sub-sector of nonprofit organizations (NPOs), social service nonprofits (SSNs) are essential agents in delivering human services and contributing to social welfare. However, they are struggling with acquiring and maintaining sustainable financial resources as a result of continuous welfare retrenchment. To date, little research has examined SSN-funder relations, relational management strategies, and their impact on organizational financial sustainability in non-democratic regimes characterized by contentious state-NPO relations and stringent regulations. This thesis is guided by an overarching research question: “How do social service nonprofit organizations manage their relations with multiple funders to achieve financial sustainability in a non-democratic context?” This thesis comprises three interconnected studies. First, a scoping review (Chapter 2) of 32 selected articles unearths the theoretical and empirical landscape of research on SSN–funder relations. This review synthesizes existing evidence and generates a new typology of SSN–funder relations: contract-based, partnership-based, transactional, and transformational. It also identifies both externally- and internally- oriented relational management strategies. Finally, this review theorizes the impact of SSN-Funder relations across four dimensions: service continuity, environmental adaptability, social impact expansion, and sustainable financial performance. Second, informed by Resource Dependence Theory and Embeddedness Theory, a quantitative study (Chapter 3) uses a cross-sectional secondary dataset of 681 SSNs in China to examine the impact of SSN-funder relations on organizational financial sustainability. Results found that greater reliance on a dominant funder was significantly associated with lower revenue generation (β = -0.5, p < 0.05), reduced surplus retention (β =-0.7, p < 0.001), and decreased operational efficiency (β = -0.0, p < 0.001). Revenue diversification was negatively related to surplus retention (β = -0.6, p < 0.01). Moreover, Party (β = 0.5, p < 0.001) and corporate embeddedness (β = 0.2, p < 0.001) were positively associated with revenue generation, while government embeddedness was negatively associated with revenue generation (β = -0.4, p < 0.001).Third, informed by Relationship Management Theory, a qualitative study (Chapter 4) comprising 30 in-depth interviews with SSN practitioners explores how various relational management strategies with funders impact organizational financial sustainability in China. It identifies a “relational strategy portfolio” with four strategies: trust-building, alignment, commitment reinforcement, and power-balancing. This study further conceptualized an inverted U-shaped relationship between the relational strategy complexity and organizational financial sustainability: as organizations choose to move from single to dual and then bundled strategies, their financial outcomes tend to improve. However, overly complex relational strategies may strain organizational capacity, leading to diminishing returns or even operational inefficiencies.This thesis makes three important contributions: Theoretically, it extends Resource Dependence Theory, Embeddedness Theory, and Relationship Management Theory by demonstrating how each offers complementary insights into SSN-funder relations and nonprofit financial sustainability in a non-democratic context. Empirically, this thesis identifies the typologies of SSN–funder relations and demonstrates how different relational management strategies shape organizational financial outcomes. Practically, this study provides actionable guidance for nonprofit practitioners, emphasizing the importance of a relational mindset and management strategies used to foster nonprofit financial sustainability in the social service sector and beyond.