Methodology — Sovereign Infrastructure Vulnerability Index
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Sovereign Infrastructure Vulnerability Index

How SIVI measures a country’s structural exposure to infrastructure disruption — and how to read its ranks.

Version 2.0.0  ·  Standard: BMS‑1.0.0  ·  Last reviewed: 2026-08-11

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Energy Dependency
Maritime Exposure
Single‑Supplier Concentration
01

What SIVI measures

SIVI scores every country on how structurally exposed it is to disruption in the systems it depends on to function — where its energy comes from, how reliant it is on maritime shipping lanes, and how concentrated its trading relationships are with any single partner. It is not a measure of infrastructure quality or investment — a country can have excellent infrastructure and still score as highly exposed if that infrastructure depends on a small number of external sources. A higher composite score means higher vulnerability — countries are ranked with the highest score as #1, so #1 is the most exposed country in the index, not the least.

02

The three pillars

Energy Dependency

33.33%

Consumption-weighted average of import dependency across five fuel types — coal, natural gas, petroleum, nuclear, renewables — so a country’s mix of energy sources determines how much weight each fuel’s dependency carries.

dependency = Σ (fuel_consumption / total_consumption) × (1 − fuel_production / fuel_consumption) × 100
Source — U.S. EIA International Energy Data If missing — pillar excluded from composite for that country

Maritime Exposure

33.34%

Inverted Liner Shipping Connectivity Index — fewer, less‑frequent shipping connections score as more exposed. Landlocked states receive a structural zero, the reference case in the shared standard’s own Structural Zero Rules — not a gap, and not a deviation.

exposure = 100 − percentile_rank(LSCI)
Source — World Bank WDI (IS.SHP.GCNW.XQ) Structural zero — 44 landlocked states, UN‑OHRLLS list If missing — pillar excluded from composite for that country

Single‑Supplier Concentration

33.33%

Herfindahl–Hirschman Index of import‑partner concentration — how much of a country’s total imports come from its largest trading partners, versus being spread across many.

HHI = Σ (import_share_i)² × 10,000
Source — UN Comtrade, total imports by partner Scale — 0 (fully diversified) to 10,000 (single source) If missing — pillar excluded from composite for that country
03

Composite score

Each pillar is percentile-ranked against all countries with data for it, then combined by weight — the shared normalization and weighting rules are covered in full on the Methodology Standards page. For SIVI specifically:

composite = (energy_pct × 0.3333) + (hhi_pct × 0.3333) + (maritime_pct × 0.3334)
04

Coverage & partial ranks

SIVI requires at least 2 of its 3 pillars to publish a rank — the full Full/Partial/Insufficient system and the injection algorithm behind partial ranks are covered on the Methodology Standards page. In practice for SIVI:

3 / 3FullDefinitive rank — FULL
2 / 3PartialRank shown as a range, e.g. #38–#52*PARTIAL
< 2 / 3InsufficientExcluded from the published index
05

Data quality output

Every country’s published record carries a per-pillar quality summary — coverage, staleness, and the good/aged/stale mix behind it — following the provenance standard above. Full schema details are in the developer documentation, not published here.

06

Data sources

PillarPrimary sourceRefresh cadenceCoverage
Energy DependencyU.S. Energy Information Administration (EIA)Daily (cached), weekly (live)~217 countries
Maritime ExposureWorld Bank WDI — Liner Shipping Connectivity IndexWeeklyCoastal states + 44 structural‑zero landlocked states
Single‑Supplier ConcentrationUN Comtrade — total import partner dataWeeklyCountries with an active Comtrade reporter code
07

Deviations from BMS‑1.0.0

SIVI is BMS‑1.0.0 conformant with two documented deviations:

Energy pillar — derived composite, not a single series

BMS‑003 assumes one series per indicator. Energy Dependency is instead a consumption-weighted composite of five separate EIA fuel series, combined before percentile ranking. Documented here per BMS‑003 rule 6.

HHI pillar — extended staleness window

BMS‑005 guidance is a 2-year staleness threshold for annual data. Trade-data reporting lags mean many valid reporters would be excluded at 2 years, so this pillar accepts a wider window, always preferring the most recent year available.

Not a deviation: the landlocked-country structural zero on the Maritime pillar is the reference example in BMS‑002’s own Structural Zero Rules, not a departure from it.

08

Version history

v2.0.0Current. Adopted percentile-rank normalization and the shared partial-coverage algorithm (BMS‑002) in place of raw composite scoring. Added per-indicator provenance and data-quality output (BMS‑001).
v1.0.0Renamed from Critical Infrastructure Vulnerability Index (CII) to Sovereign Infrastructure Vulnerability Index (SIVI). Ranking direction: highest composite score = #1 (most vulnerable). Methodology otherwise unchanged.
In short: SIVI combines three independently-sourced pillars into one percentile-based composite, is explicit when a country’s rank depends on incomplete data, and publishes the source and age of every number behind the score. Full mechanics: Methodology Standards, BMS‑1.0.0.
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