Faith-Based & International Households Pack

Why this Data Set exists

Cross-border planning combines two things most platforms fail at: visa-status-and-tax-residency complexity (FBAR, FATCA, foreign income reporting, dual-residency tests, ITIN-to-SSN transitions) and faith-tradition screening (where the country-of-origin correlates with religion which correlates with screening preferences). Either alone is hard. Together they're a planning category that almost no off-the-shelf wealth platform addresses well — leaving the segment underserved by software vendors and overserved by white-glove independent practitioners with specialized expertise.

The data problem reflects the planning problem. Cross-border profiles are sparsely represented in production data (the segment is concentrated in specific geographies and employer types). Faith-tradition screening data is governed by privacy contracts. Hand-built fixtures rarely capture both dimensions at once. This Data Set fills the gap with 70 households where both the cross-border and faith-tradition dimensions are fully expressed — including the conditional demographic overlay that makes religion/race fields available for the planning use cases where they're relevant.

Use Cases

Who uses this Data Set

What's inside

The 70 households cluster around six archetypes: F-06 international workers (H-1B, L-1, O-1 visa holders); U-01 recently banked (often recent immigrants in the banking-relationship-establishment phase); U-03 recent immigrants (working, building first US wealth); X-01 remote workers / digital nomads (often expatriates or location-flexible professionals); N-02 ESG / values-based investors with cross-border dimensions; and ES-01 ESG / faith-based / impact investors with country-of-origin-correlated screening.

Every household has structured cross-border data: visa status (H-1B, L-1, O-1, EB-5, F-1, J-1, green-card-holder, naturalised-citizen, dual-citizen, with-DACA-status); country-of-origin; primary tax residency (US-resident-alien, US-nonresident-alien, dual-status, expatriate); FBAR filing requirement status (with the threshold-crossing analysis); FATCA Form 8938 requirement status; foreign-income percentage; treaty-benefit eligibility for the country-pair. The conditional demographic overlay populates religion (and race/ethnicity) for these households where the planning use case warrants it.

The Data Set ships as JSON and CSV, accompanied by the Methodology PDF. The visa-status taxonomy, the FBAR/FATCA filing thresholds, the faith-tradition screening framework, and the conditional privacy overlay are built into the Data Set's structure and fields; typical cross-border profiles are calibrated against public immigration and tax data.

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 70 like it) ships in the ZIP.

Technical Highlights

Sample Schema Fields

{
  "demographics.visa_status": <value>,
  "demographics.country_of_origin": <value>,
  "demographics_overlay.religion": <value>,
  "taxes.fbar_filing_required": <value>,
  "income.foreign_income_pct": <value>
}

Sample queries

households.filter(h =>
  h.demographics.visa_status === 'H-1B' &&
  monthsBetween(today(), h.demographics.visa_expiration) <= 12
)

households.filter(h =>
  h.taxes.foreign_account_aggregate > 10000 &&
  h.taxes.fbar_filing_required
)

households.filter(h =>
  h.demographics.itin_filer_history &&
  !h.demographics.itin_filer &&
  monthsSince(h.demographics.ssn_issued_date) <= 12
)

households.filter(h =>
  h.demographics_overlay.religion_practice
).reduce((acc, h) => {
  const key = `${h.demographics.country_of_origin}-${
    h.demographics_overlay.religion_practice}`;
  acc[key] = (acc[key] || 0) + 1;
  return acc;
}, {})

Methodology

Each household's cross-border profile is generated against archetype-specific patterns. H-1B workers concentrate in tech and healthcare sectors with realistic income distributions and visa-stage trajectories. Recent immigrants span the spectrum from low-income working families establishing first US wealth to high-income H-1B-converting-to-green-card professionals. Faith-tradition screening preferences correlate with country-of-origin per published immigration-and-religion data; the corpus reflects this without over-determining (a household from a Muslim-majority country might be Muslim with halal screening, or non-religious, or Christian with biblically-responsible screening — the corpus distribution reflects realistic variation). FBAR / FATCA filing requirements are calculated from foreign-account aggregate balances and the appropriate threshold (FBAR $10K, FATCA $50K-$600K depending on filing status and residency). The corpus passes the consistency validator (visa-status is consistent with country-of-origin and employment; FBAR/FATCA requirements are mathematically correct; faith-tradition screening is coherent with religion-overlay) and the LLM-as-judge gate. Each refresh tracks immigration-policy changes, FBAR/FATCA threshold updates, and tax-treaty changes.

Included Archetypes (6)

Frequently asked questions