wealthschema/data sets/impact-faith-investment-pack
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Impact & Faith Investment Pack

Impact-and-faith investing has gone from boutique to default at every wealth platform serving HNW families. Whether the values driver is climate concern, biblically-responsible investing, halal compliance, or focused-impact giving, clients increasingly expect their portfolios to reflect what they care about — and the platforms serving these clients need data that captures the structural complexity of values-driven portfolio construction. The Impact & Faith Investment Pack is 50 households where this complexity is fully expressed: structured impact-bond allocations, DAF management, faith-based exclusion taxonomies, and shareholder-advocacy participation.

Households
50
Archetypes
4
Formats
JSON, CSV
Deviation
Low

Why this Data Set exists

Building a values-aligned investment platform requires structural data that most synthetic data products skip: not just 'this client cares about ESG' as a binary flag, but the structured preference taxonomy, the specific exclusion lists, the impact-allocation targets vs. current actuals, and the DAF-grant-making patterns. Without this depth, platform features for values-aligned clients collapse to generic 'ESG fund recommendation' that's the same for every client regardless of their actual preferences.

The second problem is the demographic-overlay sensitivity. Religion, in particular, is highly relevant to faith-based investment screening but is also the field most carefully governed by privacy contracts. The WealthSchema v4 privacy contract addresses this with a conditional overlay that exposes religion (and race/ethnicity) only for households where the bundle scope makes the data relevant — B08 (ESG Values) and B26 (Faith-Based & International) being the two bundles where the field is populated. B24 sits adjacent to B08 — values-driven HNW households whose investment construction reflects faith and impact priorities — so the conditional overlay applies here too.

Use Cases

Impact-investment fund construction
Halal / biblically-responsible screening
DAF grant-making analytics
Shareholder advocacy tracking

Who uses this Data Set

Impact-Investment Fund Manager

Validates the firm's impact-attribution reporting against households whose impact-bond positions, community-investment-note allocations, and mission-aligned alts let the manager test the impact-portfolio-to-attribution-report logic.

Faith-Based Investment Advisor

Tests the firm's portfolio screening logic against client profiles whose religion field is populated and whose specific faith-tradition (biblically-responsible, halal, kosher, dharmic) drives screening rules. Ensures the doctrinal nuances are correctly applied.

DAF Sponsor Building Donor-Engagement Tools

Validates the firm's DAF grant-making analytics against donors whose grant-making patterns are structurally documented — supporting donor-recommendation logic, grant-cycle planning, and DAF-balance forecasting for impact-focused donors.

Shareholder Advocacy Coordinator

Tests the firm's proxy-voting alignment and shareholder-resolution-coordination tools against households whose advocacy patterns are structurally documented (proxy-voting record, engagement campaign participation, collaborative-engagement initiative membership).

Wealth Platform PM Building Values-Aligned Module

Demos the platform's values-aligned capability to advisor and prospect audiences using realistic households whose values profiles span the spectrum from broad ESG to narrowly faith-based — without using real client data first.

What's inside

The 50 households cluster around four archetypes: millennial inheritors (E-01) who often drive next-generation values-investing demand; estate-planning grantors (E-02) with structured charitable-vehicle integration; ESG / values-based investors (N-02); and ESG / faith-based / impact investors (ES-01) where the religion overlay is most active. The mix is intentionally weighted toward the cohorts where values-driven portfolio construction is a primary planning question.

Every household has structured impact-and-faith data: impact bonds with the issuer, impact target, financial terms, and impact-measurement framework; DAF grants with grantee, amount, year, and grant-cycle status; ESG sector exclusions with the specific sectors flagged (the canonical taxonomy plus faith-tradition-specific extensions); demographic-overlay values and religion fields populated where the conditional overlay applies. Shareholder advocacy participation includes the proxy-voting record, the resolution-support history, and collaborative-engagement membership (Climate Action 100+, ICCR, etc.).

The Data Set ships as JSON and CSV. The WealthSynth Methodology PDF documents the impact-investment taxonomy, the faith-tradition screening framework, the DAF grant-making structure, the shareholder-advocacy framework, and the conditional privacy overlay specification.

Preview a sample household

A redacted summary of one household from this Data Set — names, employers, exact balances, and metro area are stripped. Ages are bucketed, income and net worth are reported as bands. The full record (and all 50 like it) ships in the ZIP.

E-01·Millennial Inheritor
representative archetype household
Household
Single
State
NY
Gross income (band)
$200k–$350k
Net worth (band)
Dependents
0
Income source types
w2 salary, w2 bonus
Members (1)
primary
Age 25–29
finance

Technical Highlights

Impact bond allocation tracking
DAF grant-making history
Faith-based exclusion taxonomy
Conditional privacy overlay (per PLAN §3.1)

Sample Schema Fields

sample_record.json
{
  "investments.impact_bonds[]": <value>,
  "investments.daf_grants[]": <value>,
  "esg.exclusion_sectors": <value>,
  "demographics_overlay.values": <value>,
  "demographics_overlay.religion": <value>
}

Sample queries

Find DAF balances ready for grant cycle

Returns donors whose DAF balance is significant AND whose grant-making is below the 5% IRS expectation level — the queue for grant-recommendation outreach.

households.filter(h => {
  const balance = h.investments.daf_balance;
  const ytdGrants = h.investments.daf_grants
    .filter(g => g.year === currentYear)
    .reduce((s, g) => s + g.amount, 0);
  return balance > 100000 && ytdGrants / balance < 0.05;
})
Identify impact-bond opportunities

Returns values-aligned households with allocated capacity for additional impact-bond positions, sorted by remaining target-vs-current allocation gap.

households.filter(h =>
  h.esg.target_impact_allocation_pct >
    h.esg.current_impact_allocation_pct
).sort((a, b) =>
  (b.esg.target_impact_allocation_pct -
    b.esg.current_impact_allocation_pct) -
  (a.esg.target_impact_allocation_pct -
    a.esg.current_impact_allocation_pct)
)
Surface faith-based exclusion compliance

Returns households with biblically-responsible or halal screening preferences whose current portfolio holdings include positions in the excluded sectors.

households.filter(h =>
  ['biblically_responsible', 'halal']
    .includes(h.demographics_overlay.religion_practice) &&
  h.assets.equity.holdings.some(holding =>
    h.esg.exclusion_sectors.includes(holding.sector))
)
Track shareholder advocacy participation

Returns households participating in shareholder advocacy with their proxy-voting alignment record and resolution-support history — useful for the platform's advocacy-tracking feature.

households.filter(h =>
  h.advocacy.proxy_voting_active ||
  h.advocacy.resolution_support_active
).map(h => ({
  id: h.id,
  proxy_alignment: h.advocacy.proxy_voting_alignment_pct,
  resolutions_supported: h.advocacy.resolutions_supported_count,
  collaborative_initiatives: h.advocacy.collaborative_initiatives
}))

Methodology

Each household's impact-and-faith profile is generated against archetype-specific patterns. Millennial inheritors (E-01) are weighted toward broad ESG preferences with climate priority; estate-planning grantors (E-02) are weighted toward structured charitable-vehicle integration with multi-vehicle giving; values-based investors (N-02) are weighted toward broad ESG with sector exclusions; faith-based / impact investors (ES-01) are weighted toward narrower faith-tradition screening with religion-overlay populated. DAF grant-making patterns are calibrated against Schwab Charitable, Fidelity Charitable, and NPT-published industry data. Faith-tradition screening rules are calibrated against the major investment-screening services for each tradition (Eventide for biblically-responsible, Saturna for halal, Ethical Markets for broad ethical screening). Shareholder-advocacy participation is calibrated against ICCR membership and Climate Action 100+ collaborative-engagement data. The corpus passes the WealthSynth consistency validator (impact allocations are mathematically consistent; DAF math reconciles; faith-tradition exclusions are coherent with religion-overlay) and the LLM-as-judge gate. Annual refresh tracks evolving values-investing taxonomies and any updates to faith-tradition screening interpretation.

Included Archetypes (4)

Frequently asked questions

How does this differ from B08 (ESG Values Alignment)?+

B08 is focused specifically on ESG-preference elicitation and screening logic — 25 households across the values-investor population. B24 is broader: 50 households covering impact bonds, DAF grant-making, faith-tradition screening, and shareholder advocacy. Both bundles use the conditional privacy overlay. Many platforms purchase both for the integrated values-aligned capability.

Are faith-tradition screening rules realistic?+

Yes. Biblically-responsible investing screening uses the Eventide / GuideStone-aligned sector exclusions. Halal-compliance screening uses the Saturna / AAOIFI-aligned screening rules including the financial-ratio screens (interest-bearing income, leverage). Kosher and dharmic screening use less standardized but documented frameworks. The Methodology PDF documents the specific screening rules for each tradition.

Are DAFs realistic?+

Yes. About 75% of the corpus has at least one DAF position. Balances and grant-making patterns are calibrated against industry data; grant-recipient selections reflect realistic distributions across the major-charity / community-foundation / faith-aligned-recipient categories.

Does the corpus include private foundations?+

About 20% of the corpus has a private foundation alongside or instead of a DAF. The structured private-foundation data includes the foundation's grants distribution, the 5% qualifying-distribution requirement compliance, and the staff-and-administrative-expense structure. Private foundations are positioned as the next-step structure for HNW donors who outgrow DAF-only giving.

Are charitable lead and remainder trusts represented?+

Yes. About 18% of the corpus has at least one charitable lead trust (CLT) or charitable remainder trust (CRT). The CLT structures are typically used for income-tax-rate-arbitrage planning; CRTs are typically used for capital-gains-deferral on concentrated low-basis stock. The Methodology PDF documents both structures with the actuarial calculations.

How is shareholder-advocacy participation structured?+

Households participating in shareholder advocacy have structured records of proxy-voting alignment (the percentage of their proxy votes aligned with values-organization recommendations like ISS Values, Glass Lewis), resolution-support history (which shareholder resolutions they supported), and collaborative-engagement membership (Climate Action 100+, ICCR Faith Investors, etc.). About 35% of the corpus participates in some form of shareholder advocacy.

What about impact-investment-fund commitments?+

About 40% of the corpus has at least one impact-investment-fund commitment — typically a Calvert Impact Capital community-investment note, a CDFI-affiliated impact-bond, or a mission-aligned PE / private-credit fund. The structured impact-fund data lets your tools test the impact-attribution-to-portfolio-report logic.

How does this fit alongside B26 (Faith-Based & International)?+

B24 focuses on the impact-and-faith investing surface — portfolio construction, DAF management, advocacy. B26 focuses on cross-border financial considerations (visa status, FBAR, foreign income) plus faith-based screening as a secondary dimension. Both use the conditional privacy overlay. Buyers serving the cross-border faith-based-investor segment typically purchase both.

Related Wealth Data Sets

$4,000
one-time purchase
50 households (ZIP)
Methodology PDF
JSON, CSV formats
Account required to purchase

Purchases are for internal use only. Redistribution or resale of data is prohibited under the WealthSchema Data License.

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