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Data, Theory and Policy

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Why we need data on nonprofits. Sector appears to be growing, ... Clubs and other mutual benefit associations. What types of geographic boundaries (and why) ... – PowerPoint PPT presentation

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Title: Data, Theory and Policy


1
Data, Theory and Policy
  • 1st West Coast Nonprofit Data Seminar
  • UCLA, January 23-24, 2004
  • Kirsten A. Grønbjerg, Indiana University

2
Why we need data on nonprofits
  • Sector appears to be growing, changing in
    composition
  • Increasing size, economic force doubling over
    25-30 years
  • Growing visibility, policy relevance
  • Long-term devolution from federal to
    state/local levels
  • Long-term efforts to privatize government -
    nonprofits
  • Increased political/policy role of religious and
    other nonprofit institutions
  • Sector appears to be in decline, endangered
  • Claims about declining civic engagement (Bowling
    Alone)
  • Questions about state of community capacity
    (inner cities)
  • Concerns about declining or shifting resources
  • Host of other challenges
  • To answer need solid data, careful methodology

3
Methodology, Content Concepts Matter
  • How broadly to define the sector (and why and
    how)
  • Field of service/industry and/or beneficiary
    group
  • Charities (congregations, faith-based, and/or
    secular)
  • Civic groups
  • Advocacy, political organizations
  • Clubs and other mutual benefit associations
  • What types of geographic boundaries (and why)
  • Which units headquarter, entities, programs
    (and how)
  • What information (and how)
  • Activities/practices, features, resources,
    networks
  • Time frame and frequency
  • What context and relationships to
  • Individuals, households, communities
  • Government market sectors
  • Nonprofit infrastructure organizations
  • Community social, economic, political
    characteristics

4
The Indiana Nonprofit Sector Project
  • Leadership build community capacity
  • Enhance understanding of sectors role in state
    and communities
  • Scope and characteristics
  • Challenges, capacities, and policy impacts
  • Deepen appreciation of context in which sector
    operates
  • Benchmarks across diverse communities
  • Comparisons across fields of operation
  • Research fill knowledge gaps
  • Utility of nonprofit databases
  • Networks and Linkages opportunities, challenges
  • Contributions/characteristics of all types of
    nonprofits
  • Training develop curriculum modules
  • Meet professional training needs
  • Build organizational capacity

5
What Does the Project Involve?
  • A comprehensive effort
  • Focus on all types of nonprofits
  • Statewide analysis plus community dimensions
  • 7 metropolitan regions
  • 5 non-metropolitan counties
  • Completed or in process
  • Build comprehensive database of Indiana
    nonprofits
  • Model for other states and regions
  • Survey of Indiana residents on nonprofit
    affiliations
  • Survey of Indiana nonprofits
  • Model for other states and regions
  • Compile and analyze other relevant information
  • Nonprofit employment, finances (Form 990)
  • Planned
  • Nonprofit community profiles
  • In-depth case studies of nonprofit linkages
  • Curriculum material and technical support

6
I. Build Comprehensive Nonprofit Database
  • Institutional database approach model for other
    states
  • Merge IRS (32,600), SOS (29,400), CL (9,000) ?
    71,000
  • Eliminate duplicates ? 54,100
  • Low overlap of IRS/SOS 23 percent
  • IRS lags SOS by 2.4 years
  • Informant/community based approach
  • Supplement institutional database approach
  • Added 25 percent in most communities ? total of
    59,400
  • Now available in web-searchable format from IHC
  • Analyses completed (5 papers)
  • Community profiles vary by database listing
  • Nonprofit density is a function of supply,
    community structure
  • Database overlap high for some fields, larger
    older NP
  • Database assessment validity, response rates,
    distortions

7
II. Survey Residents on their NP Affiliations
  • Hyper-network approach - alternative sampling
    strategy
  • Telephone survey of 526 Indiana residents
  • Focus on nonprofit affiliations
  • Worship (86 percent), meeting/event attendance
    (67 percent), volunteering (43 percent), work (11
    percent)
  • Use named nonprofits as sampling frame, avoid
    database
  • 30 percent not included in comprehensive database
  • Analyses completed (3 papers)
  • Types of volunteer work, associations attended
  • Patterns vary by type and are related to
  • Family status (few cases), SES (education),
    community attachment (voter registration),
    religious attendance

8
III. Survey Indiana Nonprofits
  • Purpose
  • Document sectors contribution to state
    communities
  • Lay foundation for more effective collaboration
    among nonprofits
  • Establish benchmarks for management
    organizational practices
  • Document major nonprofit strengths challenges
  • Identify differences similarities by
    communities fields of activity
  • Random sample stratified by listings community
  • 2,205 respondents 30 response rate
  • Topics adapted by other states and regions
  • General information programs and services
  • Impact of community policy changes advocacy
    activities
  • Relationship with other organizations
  • Human resources management finances
  • Special membership mutual-benefit activities
    faith-based organizations
  • Analyses completed 3 reports/papers,
  • Management capacities and challenges
    (Indianapolis vs. rest of state)
  • Role of congregations in delivering human
    services
  • Profile of Indiana nonprofit sector (5 others
    under development)

9
IV. Analyze Nonprofit Employment
  • First documentation of nonprofit employment in
    Indiana
  • Establishments, employees, payroll, weekly wages
  • By industry and by region
  • For three points in time 1995, 2000, and 2001
  • Adapted from methodology used elsewhere
  • ES-202 reports by (almost all) employers
  • Link to IRS list of tax-exempt entities under
    501(c)
  • Underestimates nonprofit employment
  • May overestimate nonprofit growth
  • Analysis completed 1 report
  • Employment share, growth, wage levels
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