Vietnamese founder at the helm of a cargo ship sailing toward a horizon of skyscrapers — cut-paper editorial illustration
Field Note · Interactive Data April 2026

Vietnam's First Wealth Transfer — The Underlying Data

A behavioral simulation of 1,000 Vietnamese HNW individuals across five archetypes. Three bets on three time horizons. Pick your segments, compare their decisions, re-slice the data on any axis.

1,000 HNW agents simulated Calibrated to Knight Frank · Forbes Vietnam · BCG-UOB Asia 2025
5 Archetypes Operator · Coach · Elder · NextGen · Digital Self-Made
11 Calibrated decisions Booking, succession, onshore consolidation, and more

How to read this

Every chart on this page is computed live in your browser from the underlying agent-level dataset. Open the Compare segments view, pick the segments you care about, and select which decisions to display as their stats. The Build your own view section lets you re-slice all 1,000 agents on any combination of wealth tier, age, succession stage, education, location, and overseas-connection.

Subgroup sizes are shown explicitly. As filters narrow, sample sizes shrink — when a subgroup falls below n=100 the page flags interpretability; below n=30 it suppresses the distribution entirely. The aim is to be honest about what the data can and cannot say at any level of slicing.

Companion to the Field Note: Vietnam's First Wealth Transfer — Three Bets on Three Time Horizons. Full methodology, validation, and bibliography live there. This page is the data layer beneath the narrative.

5 Archetypes

Meet the segments

Each archetype represents a distinct position on Vietnam's first-ever generational wealth transfer. Click any card to expand.

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Archetype × Decision

The full grid

Each cell shows the headline statistic for that archetype on that decision. Empty cells mean the decision doesn't apply to that segment. Click any cell to drill in.

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Some decisions only apply to specific archetypes (e.g., succession-planning questions don't apply to Digital Self-Made; capability questions for the Digital cohort don't apply to founders).

Segment-vs-segment

Compare segments

Pick two or three segments. Then pick one to three decisions to display as their stats. Read across the cards to see how each segment answers the same question.

1 · Pick segments (2–3)

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2 · Pick decisions (1–3)

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Pick segments and decisions above to compare…

Build your own view

Filter the underlying data

Apply filters on the left. Distributions on the right recompute live. Below n=30 we suppress; below n=100 we caveat. Share any view by copying the URL — the filter state is encoded there.

n=1,000
About this kind of research

Methodology, limitations, customization

Common questions on the synthetic-agent approach itself — how it works, what it can and can't tell you, and how a custom version for your engagement would look.

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Want this for your market or customer base?

Mirra Labs runs decision simulations for Southeast Asian wealth and consumer markets. Send us a question, a customer cohort, or a strategic decision, and we'll come back with a calibrated simulation plan. Custom populations, your specific decision, days not months.