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How We Collect, Verify, and Publish EB-5 Data

Our methodology for building the independent data authority for the EB-5 Immigrant Investor Program

Key Takeaways

  • 1EB5Status draws from 18 distinct data sources organized across three operational tiers, with government publications always taking priority.
  • 2Five trust tiers classify every data point: Blue (Official), Gray (Derived), Green (FOIA), Yellow (Estimated), and Orange (Editorial).
  • 3Six non-negotiable rules govern all data publication, including never citing industry sources as primary evidence and never allowing advertiser influence.
  • 4All calculations carry version numbers, and corrections are published with equal prominence at /corrections.

Our Mission

EB5Status is the independent data authority for the EB-5 Immigrant Investor Program. We publish verified immigration data with institutional credibility and transparent provenance:analogous to how the Federal Reserve publishes monetary data that policymakers, economists, and journalists cite without question.

We are not a law firm, regional center, marketplace, or advocacy organization. We do not promote specific investments, projects, or practitioners. We do not accept sponsorship from industry participants. Our sole purpose is to publish EB-5 data that is accurate, well-sourced, and comprehensible to legal practitioners, investors, policymakers, and researchers.

Our operating principle is simple: We publish less data with perfect provenance rather than more data with ambiguous sourcing. Every number on EB5Status has a source. Every source has a trust tier. When we don’t know something, we say so explicitly:we never fill gaps with speculation or industry rumors.

Data Sources: The 18-Source Hierarchy

EB5Status draws from 18 distinct sources organized across three operational tiers.

Tier 1: Mission Critical Sources (Continuous Monitoring)

  1. 1.U.S. Department of State Visa Bulletin (monthly) : Visa cutoff dates by preference category; data back to Oct 2007
  2. 2.USCIS Published Statistics (quarterly) : Petition counts by type, approval/denial/pending; data back to FY 1994
  3. 3.USCIS Processing Times Tool (monthly) : Median processing times by service center and petition type

Tier 2: Core Authority Sources (Regular Monitoring)

  1. 4.Federal Register (irregular) : Proposed/final rulemaking, fee schedules, form revisions
  2. 5.USCIS Policy Manual (continuous) : Eligibility criteria, processing procedures
  3. 6.USCIS AAO Decisions (continuous) : Appellate interpretation of EB-5 regulations
  4. 7.USCIS Newsroom & Alerts (irregular) : Operational alerts, policy changes
  5. 8.USCIS Forms & Fee Schedules (irregular) : Form instructions, fee amounts
  6. 9.EB5Status FOIA Data (quarterly target) : Service center breakdowns, processing distributions
  7. 10.AIIA FOIA Data (semi-annual) : Parallel FOIA requests with different scopes

Tier 3: Supporting & Contextual Sources (Never Primary)

  1. 11 to 14.Federal Court Opinions, GAO Reports, DHS OIG Reports, Congressional Records
  2. 15 to 17.IIUSA, EB5Investors.com, Practitioner Reports (contextual only, never cited as primary evidence)
  3. 18.EB5Status Internal Estimates & Models (Yellow/Orange tier, always labeled)

The Trust Tier System

TierLabelBadgeDefinitionExample
P0OfficialPublished by issuing government agencyVisa Bulletin cutoff dates; USCIS petition statistics
P1DerivedCalculated from official data using disclosed methodologyApproval rates; visa movement velocity
P2FOIAObtained via FOIA requestService center petition breakdowns
P3EstimatedInferred from partial data or statistical modelsBacklog estimates; cutoff velocity projections
P4EditorialAnalysis, commentary, interpretationTrend analysis; policy implications

Three-Zone Communication Model

KNOW“X is Y” : facts from official sources (Blue & Gray badges)
INFER“Based on X, we infer Y” : FOIA data with potential scope limitations (Green badge)
ESTIMATE“We estimate Y with Z% confidence” : models with disclosed assumptions (Yellow & Orange badges)

Confidence Labels

VerifiedSourced directly from official government publication (Blue badge)
ReportedSourced from FOIA or multiple corroborating official sources
EstimatedDerived from partial data with disclosed methodology
ProjectedForward-looking; extrapolated from trend or model; inherently uncertain

Freshness Indicators

StateColorDefinition
FreshUpdated within SLA
Due for Refresh1 to 2 weeks past SLA
Stale>2 weeks past SLA

SLAs: Visa Bulletin <3 days · Processing Times <3 days · Quarterly Stats <7 days · FOIA Data <14 days

Key Metric Calculations

Approval Rate

(approved / (approved + denied)) × 100

Source: USCIS quarterly statistics (Blue). Excludes pending and withdrawn petitions.

Visa Movement Velocity

current_cutoff_date − previous_cutoff_date (in days)

Source: State Department Visa Bulletin (Blue). Positive = advanced, negative = retrogressed.

Processing Time Estimate

Source: USCIS Processing Times Tool (Blue). Median processing time by service center.

Backlog Estimate

pending_petitions − (avg_monthly_rate × months_forecast)

Source: USCIS stats (Blue) + processing tool (Blue) + internal model (Yellow). Confidence intervals published.

What We Don’t Know

We are explicit about data gaps. The following information is not available through our sources and we do not attempt to fabricate or estimate it:

  • Real-time petition status
  • Detailed applicant demographics
  • Service center variance at granular level
  • Denial reason breakdowns
  • Regional center performance metrics
  • Individual investor outcomes
  • Forward-looking pipeline data

If we don’t have it, we say so.

Conflict Resolution Protocol

  1. 1.Check publication dates (newer supersedes)
  2. 2.Check scope definitions (FY vs. calendar year)
  3. 3.File FOIA for clarification
  4. 4.Publish both values with explanation (never suppress)
  5. 5.Establish provisional truth
  6. 6.Publish corrections with equal prominence

Versioning

Datasetseb5_datasets_v{YYYY}.{MM}.{seq}
Calculationscalculations_v{major}.{minor}

All versions documented at /changelog with what changed and why.

Six Non-Negotiable Rules

  1. 1.Never publish unverifiable user-submitted data
  2. 2.Never cite industry sources as primary evidence
  3. 3.Never aggregate crowd-sourced outcomes without verification
  4. 4.Never suppress conflicting data for a clean narrative
  5. 5.Never make policy recommendations
  6. 6.Never allow advertisers to influence data, methodology, or analysis

On Rule 6:

  • All advertising is clearly labeled and visually separated from editorial content
  • Advertisers have zero influence over data collection, trust tier assignments, or methodology
  • A strict editorial firewall ensures complete independence of our data operations

How to Report Errors

Email: data@eb5status.com

Response SLA:48 hours for factual corrections; 5 business days for methodology questions.

All corrections published at /corrections with date, description, source, and impact.

How to Cite This Page

APA

EB5Status. (2026, March). How we collect, verify, and publish EB-5 data. Retrieved from https://www.eb5status.com/methodology

Chicago

EB5Status. “How We Collect, Verify, and Publish EB-5 Data.” Accessed March 6, 2026. https://www.eb5status.com/methodology.

Bluebook

EB5Status, Methodology (Mar. 6, 2026), https://www.eb5status.com/methodology.

Detailed Methodology

For in depth explanations of how we handle specific data types, see these topic pages:

How this data was calculated

This page documents the methodology, source hierarchy, trust tier system, and editorial rules governing all data published by EB5Status.

Trust tier: EditorialLast updated: April 2026Source: EB5Status EditorialFull methodology

Related Resources

Last updated: April 2026

EB5 Status is for educational purposes only. Not legal or investment advice.