cyberia/research/migration market model.md

migration market model

a unified model of the global migration market. one-screen render: migration market funnel.

this is the demand map underneath cyberia's nomad-hub thesis: who moves, why, and how status gets paid for. the funnel's daily-visitor→citizen path is the same ladder the Cyberstate Protocol issues as VISIT→STAY→SETTLE→BELONG; its priced end is the cyberia marketplace, where citizenship and residency clear as assets; its human segment is the nomads cyberia is built to root; and the blood/ancestry lane becomes verifiable through the attested genome protocol.

Layer 0. Definitions and metrics (to avoid confusion)

Metric What it measures Value
Desire (aspiration) "would like to move permanently" ~900M adults (16%), easing to ~15%
Stock living outside country of birth 12+ months 304M (3.7% of population)
Invisible stock nomads/short-termers outside official counts ~35–50M (estimate)
Annual people flow changed country of residence within a year ~25–35M across all channels
Permanent flow permanent-type migration ~10–12M/yr
Open positions status question unresolved ~60–80M (estimate)

Three irreducible axes: people ≠ moves (a nomad = several moves/yr) ≠ positions (one person can hold several open status processes).


Layer 1. Motivations: why people want to leave (decomposing the 900M)

Empirical hierarchy of drivers (regressions across HDI groups):

  1. Networks — the strongest universal predictor across all development levels: family/friends abroad (even returnees) raise desire. Migration is a network cascade.
  2. Institutional distrust — no confidence in local police, fear of expressing political views, "children are not treated with respect" — significant almost everywhere. People flee injustice and seek a future for their children before they flee poverty.
  3. Relative gap — relative deprivation, not absolute poverty. Grows with education (visibility of the gap).
  4. Life stage — desire: ages 15–24 >20%, falling to 4% by 65; singles 25% vs married 11%. Youth plus absence of roots.
  5. Survival — war/violence; in the lowest HDI groups it crowds out all other predictors.
  6. Values/direction of society — the growth frontier: desire to leave the US/Canada (20%) and the EU (21%) is at record highs, while Sub-Saharan Africa fell to 33% (a decade low) and Latin America to 25%. North and South are converging.

Rough regional breakdown of the ~900M (v0.1 estimates):

Region Share wanting to leave ~M adults
Sub-Saharan Africa 33–37% ~215
South Asia ~8–10% ~105
East/SE Asia ~7–9% ~110
Latin America + Caribbean 25% (peak was 34%) ~115
MENA ~25–28% ~90
EU 21% ~75
US + Canada 20% ~60
Post-Soviet Eurasia ~13% ~26
Other ~80

Breakdown by dominant motivation (estimate, to refine in later versions):

  • survival/safety: ~15–20% (~150–180M)
  • injustice + relative gap: ~50–55% (~450–500M)
  • life stage/trajectory: ~15% (~130M, overlaps with the previous)
  • values/direction of society: ~10–15% (~90–135M, fastest-growing)

Layer 2. Barriers: what traps people, and how removable each barrier is

Aspiration is realized through capability. Barriers are NOT equal — each has its own removal mechanics:

Barrier Who it traps Removed by Removal speed Who "sells" the removal
Legal access (no channel) most of the trapped policy: expansion of free-movement zones, new programs instant, binary states
Money for the cycle ($2–15k) the poorest lending against future income months recruiters, diaspora, microfinance
Skills/language the middle training for export (Philippine model) years education machines
Information/networks the first in their graph endogenously: each mover opens their graph cascades by itself diasporas
Roots (family, age, property) older, married almost never removed

Key takeaway: the trapped = latent supply. Historical jumps in migration are not surges of desire but the construction of capability corridors (EU-2004, Gulf recruitment, Canada's Express Entry, humanitarian paroles). Forecasting flows = forecasting who builds the next corridor, and where.


Layer 3. Aspiration × capability matrix (base population map)

Able Unable
Willing Realizing: ~25M in process, ~10–12M pass per year Trapped: ~750M+ — latent supply awaiting corridors
Unwilling Mobile reserve: tens of millions with capital/passports; converted by shocks within weeks (case: the 2022 Russian wave) Settled: ~4.5B — roots stronger than gaps
  • The relocation market lives in the top-right quadrant (slot-constrained).
  • The optionality market lives in the bottom-right (product-constrained): a second passport is bought to be ABLE to leave, not to leave.
  • Shocks move people between quadrants faster than any funnel.

Layer 4. Channels (how relocation is realized)

Five parallel channels; the "desire→move" funnel describes only the first:

Channel Flow/yr Stock Measurability Conversion into rooting
Settlement (permanent) ~10–12M within the 304M excellent the channel's purpose
Contract temporary (Gulf, seasonal) ~8–12M ~30M+ medium prohibited by design
Study ~2M intake ~6.5M good high via in-country status switching
Forced ~5–10M new ~120M medium via asylum, slowly
Nomad/relocant unmeasured ~35–50M zero (outside official statistics) does NOT want classic rooting

Grounds inside the settlement channel: family 44% (34% reunification + 10% families of labor migrants), free movement 19%, work 17%, humanitarian 13%, other 7%. Investment ~0.3% of flow (~100k families).

Channels interconvert: student→worker→settler (a large share of "new permanent" = in-country status switching); nomad→investor-resident; forced→settled. Dead end: the Gulf contract channel.

Layer 4a. The nomad segment's internal funnel (awareness ladder)

Headcount hypothesis (base — stock of ~40M): N0 ~28M (70%) · N1 ~8M (20%) · N2 ~2–3M (6–8%) · N3 ~0.3M (<1%). Proxies: N1 — share of nomads naming banking/taxes as a systemic problem in surveys (~half have encountered it, ~a fifth treat it as systemic risk); N2 — flag-theory content audiences (millions of subscribers for top channels, Estonia's e-Residency 100k+) minus idle interest; N3 — cumulative CBI/RBI buyers over a decade + DIY assemblers with 2+ residencies.

Stage State Signs Lever to the next stage
N0 — asleep (unaware) the status question does not exist visa runs as routine, "taxes later", one passport shock: frozen account, tax letter, border refusal, closed visa loophole
N1 — hurting (problem-aware) risk recognized, solution imagined in the old frame "must settle somewhere" anxiety over banking, taxes, children, an aging passport content + word of mouth: learning that "settle" is not the only answer. Risk: the false exit — capitulating into the settlement channel
N2 — seeking (solution-aware) want multi-jurisdictionality itself, but the market sells junk buy patches (golden visas with presence requirements, single-layer tax advice), self-assemble with costly mistakes methodology/product. What they seek doesn't even have an accepted name
N3 — building (architects) rooting rejected deliberately; goal: a portfolio with no presence requirement in any node engineering-grade jurisdiction screening (RAVI-class), aware of the "passport with vs without presence clock" divide — source of methodology for N2, proof of existence for N1

Implications:

  1. The "market gap" (layer 8, item 4) refined: there is no product for N2–N3, but N0–N1 demand is also unformed — the market is underdeveloped on both sides.
  2. The three conversion levers (shocks → content → methodology) are pressed systematically by no one; the shocks are pressed by regulators, free of charge and increasingly often.
  3. N1's false exit into settling is segment leakage: people solve the problem by abandoning the lifestyle for lack of an alternative.
  4. N3 is few in number but structurally critical: the architects' methodology, externalized into a product, is the missing N2→N3 lever.

Layer 5. Product ladder and the portfolio axis

Vertical (the classic): visa (presence) → residency (living) → PR/passport (rooting). Horizontal (the new axis): portfolio — 2+ jurisdictions: passports + residencies + structures + land + tax base.

Segments enter at different rungs:

  • labor migrant: bottom-up, 5–10 years;
  • investor: jumps straight to residency/passport (CBI);
  • nomad: moves SIDEWAYS (across jurisdictions), not up — the top of one ladder is not what they need.

The product-buyer incompatibility point: physical-presence requirements (183+ days) demand ceasing to be a nomad. Products without the requirement (Armenia) are scarce.


Layer 6. Currencies of status payment

One good (status) sold for eight currencies — price discrimination by ability to pay:

Currency Source ~people/yr Channel Note
Blood birth (inherited) ~1.5M (incl. ~0.3M ancestry tracks) parent/child reunification, ancestry repatriation (jus sanguinis) cannot be issued — the lottery was drawn before birth
Marriage union (created by choice) ~1.8M spousal track the only "kinship by choice" → hence the policing (sham checks, 3-yr clocks)
Sponsorship others' graph (a third party pays) ~0.3M Canada's PSR, US parole tracks (U4U, CHNV), BVOR the only mechanism for buying a slot NOT for oneself; crowdfunded corridor; diasporas are the main payer
Study lifetime ~2.6M (incl. families) degree-as-ticket, 5–10 yr clocks $150–200B to universities
Labor skill ~11M (incl. temporary + families) HQS, points, permits, shift work largest by headcount; most buy temporary status
Suffering condition (paid by oneself, upfront) ~7M move / ~1M granted asylum for those who arrive + resettlement stock of 120M: a century-long queue
Money capital ~0.3M people (100k families) CBI/RBI, investor residency $20–25B/yr, ×1000 average ticket
Ideology conviction thousands decree 702, values-based visas a 2024+ currency, growth frontier
Club citizenship inherited membership ~4–5M free movement: EU/EEA, ECOWAS, Mercosur, intra-GCC, EAEU Blood one generation removed; no transaction at the border

Metric (v0.10, final form): people/yr per lane = principals + their accompanying dependents, allocated to the principal's currency (an investor's family is part of the Money transaction, a worker's family part of Labor). Dependent share per lane follows k: ≈1 for Gulf contracts (families barred), ≈2–3 for investor and skilled tracks. Blood and Marriage count only those whose own relationship IS the basis. Suffering is metered in movers and already counts family units.

Ninth basis (added v0.7, expanded v0.8): club citizenship — free-movement rights. Not only the EU (~2M/yr, 19% of permanent flow): ECOWAS (the largest free-movement zone by headcount), the Mercosur residence agreement, intra-GCC nationals, the EAEU — jointly ~4–5M/yr. An inherited key to the club, i.e. Blood at one generation's remove.

Basis vs driver (v0.8): a currency classifies the legal basis of the status transaction, not the motive and not the composition of who moves. Family is both a currency (blood/marriage as legal basis, ~3.3M principals) AND a unit of movement across all other lanes: the Ukrainian wave moved as family units under temporary protection (Suffering lane); bride migration often rides labor or club bases. Family-driven movement is plausibly ~2× the family-based count. Any per-lane figure states the basis; drivers overlap lanes.

Flow reconciliation (v0.8, closes the gap flagged in audit): labor 10 + study 2.5 + blood/marriage 3.3 + dependents 2 + suffering-movers 7 + club 4.5 + irregular non-asylum 2.5 + nomad churn 2.5 ≈ 32–37M upper / ~25M conservative — matches the 25–35M movers/yr headline. The earlier mismatch came from metering Suffering by grants instead of movers and counting only the EU club.

Typology by source: inherited (blood) · socially created (marriage, sponsorship — both ride the social graph) · personal capital (labor, study, money) · condition (suffering) · conviction (ideology).

Implication of the split: three of the eight currencies — blood, marriage, sponsorship — monetize the social graph, jointly ~4.3M people/yr: the graph remains the largest aggregate legal-entry mechanism after labor. Sponsorship is structurally unique: private infrastructure for removing the "legal access" barrier (layer 2) at retail, yet quota-capped by the state like everything else.

The blood/ancestry lane presumes provable kinship; attested genome protocol makes that proof private, portable, and independent of any single registry.

Metric note: people/yr = those granted status through the currency; channel bases differ (permanent/temporary), so do not sum directly against the flow.


Layer 7. Supply: jurisdictions

Screening criteria (this thread's frame): dual citizenship OK + farmland accessible (at least via a legal entity) + investor residency desirable.

Tier 1 (land to individuals + investment entry + dual): Uruguay, Paraguay, Argentina (caps, but the vector is toward removal; passport in 2 years), Colombia, Brazil, Chile, Peru, Ecuador, Costa Rica, Dominican Republic, Belize, Türkiye (CBI $400k), Portugal, Greece, Italy, Cyprus, USA (minus state-level bans), Mauritius, Fiji.

Tier 2 (land via entity/trust): Russia (≤49% foreign in the landholder / 49-yr lease; Reg. 2573; decree 702), Armenia (a 100% foreign-owned Armenian LLC holds farmland freely; passport in 3 years without a presence clock — the benchmark), Philippines (60/40), Cambodia, Mexico (fideicomiso), Morocco, South Africa (direct freehold, but expropriation risk — the only jurisdiction with the risk in the tail rather than at the entrance), Indonesia (PT PMA, no passport path).

Closed: China, India, Vietnam (people's/state land), Thailand, Kazakhstan + Central Asia (the strictest moratorium in the post-Soviet space), Georgia (constitutional ban), Switzerland, Canada/Australia/NZ (land filters), the Gulf (rooting absent as a class).

Supply patterns:

  • access to rooting is inversely proportional to a country's population AND wealth;
  • Latin America is the only region where the full pipeline (capital→land→status→passport) is the norm (URY/PRY/ARG/COL/BRA/MEX/CHL/PER);
  • full pipelines among the 40 largest countries — 8: Türkiye, Argentina, Brazil, Colombia, USA, Russia, Mexico, South Africa*;
  • 2022–2026 trend: supply is shrinking (golden-visa closures: UK'22, IRL'23, NLD/AUS'24, ESP'25, Malta by EU court), demand is growing → slot price rises;
  • opening exceptions: Hungary, Argentina (in progress), decree 702, Egypt's CBI.

Layer 8. Market economics

Demand segment Quadrant Product Money trail
Survival trapped → breakthrough non-refoulement smuggling ~$10B/yr
Injustice/gap trapped + educated top realizes ladder from the bottom remittances ~$860B/yr
Trajectory (the young) realizing degree-as-ticket $150–200B/yr to universities
Values/sovereignty mobile reserve option: portfolio CBI/RBI ~$20–25B/yr + capital transfer $100–500B

Asymmetries (the model's core):

  1. The world's main channel is kinship (44%), not work.
  2. The trapped are not dead weight but latent supply for future corridors (layer 2).
  3. The solvent top is <1% served: a queue of millionaires at a dozen counters.
  4. Growing demand (reserve + nomads) asks for optionality; supply sells exclusive rooting. The product gap = multi-jurisdictional rooting without a presence requirement.
  5. The relocation market is slot-constrained; the optionality market is product-constrained. These are two different markets.

Open questions for future versions

  • refine the 900M motivation breakdown (find direct "why" surveys, not only predictors)
  • size the mobile reserve (proxies: HNWIs with two passports? "considering relocation if X" surveys)
  • map of corridors under construction: who is removing barriers now, and for whom (EU enlargement to the Balkans, EAEU, new trailing programs)
  • elasticity: how fast program closures convert into slot-price growth (Türkiye case $250k→$400k)
  • nomad layer: methodology for estimating stock and flows; size N0/N1/N2/N3 (proxies: nomad tax-advisory sales, search traffic for flag theory / tax residency)
  • product spec for the "portfolio" as a good: minimal composition, current assembly cost (case: the Armenian track)

Graph