Candid offers a variety of filters to help you build a targeted dataset of the nonprofits you're looking for. The following is a selection of the most popular criteria that can be used to identify a particular group of nonprofits.

• Cause area
  • Subject codes
  • Population served codes
  • NTEE codes
  • Sustainable Development Goals (SDGs)
• Organization status:
  • revoked: TRUE/FALSE
  • defunct: TRUE/FALSE
  • merged: TRUE/FALSE
  • bmf_status: TRUE/FALSE
  • pub78_verified: TRUE/FALSE
• Demographics:
  • demographics_submitted
  • demographics_leader
• Geography:
  • city
  • admin1_code (state or province)
  • postal_code (ZIP)
  • country
• Organization type:
  • subsection_code
  • organization_type_codes
  • grantmaker: TRUE/FALSE
  • financials_source
• Organization size:
  • Financials:
    • total_revenue
    • total_expenses
    • total_assets
    • total_giving
  • number_of_employees
• For financial data:
  • Most recent year available (recommended for all data except historical analysis)
  • Single Year
  • Range of years
• Candid Seal of Transparency level: Bronze, Silver, Gold, or Platinum
• Required data elements
  • e.g. must have contact information

Our data team can also build a data set for a specific group of organizations based on a list of EINs.

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Examples

I'd like to identify organizations currently working in Public Health in the state of New York.

• Criteria:
  • admin1: NY
  • subject_codes: Includes SE130000 Public Health
  • revoked: FALSE
  • defunct: FALSE
  • bmf_status: TRUE

I'd like to analyze five years of historic financial data for public charities in Minnesota with over $1M in revenue that serve children and youth.

• Criteria:
  • admin1: MN
  • subsection_code_description: 501(c)(3) Public Charity
  • revenue: > $1,000,000
  • population_served_codes: Includes PA010000 Children and youth
  • fiscal_year: 2018-2022