← Jurisdiction tool

Methodology · version 1.0

How the jurisdiction tool scores

Honest data, transparent maths and your own judgment. This page is public, and the scoring code and dataset are published alongside it, so any result can be reproduced and any number challenged. The scale itself is the method.

The principle · you own the weights

The tool never decides what matters. It presents ten decision dimensions; you assign each a weight from 0 to 10. A founder optimising for speed weights differently from one optimising for cost or capital. A fixed editorial composite, where the tool decides clarity is worth 30%, is the anti-pattern this project exists to avoid. No country total is computed until you have declared weights. That is the red line.

Traceability per cell

Every datum is a cell carrying a value (or a gap), its primary source with a direct URL, the date the value is valid for, when it was last verified, a confidence rating, and any caveat.

High

Primary source (regulator, law, OECD), cross-checked against a second reputable source, under 24 months old or explicitly structural.

Medium

A single reputable secondary source, or a clear-rule estimate.

Low

A single testimony, or a datum not recently re-confirmed.

Gap

No reliable datum exists. Shown as an explicit unfilled cell, never invented.

Not applicable

The datum structurally does not exist (e.g. a licence fee where there is no licensing regime). Counted separately from a gap.

The anti-fabrication rule

A cell that cannot be verified is a gap. It is never filled with an invented value to make the ranking work. A gap renders as an explicit unfilled cell (“No verifiable datum · confirm with the local regulator”). A country with too many gaps in a dimension you have prioritised is flagged, not silently scored.

Coverage, stated openly

How many of the 208 dossier countries carry a real, sourced value for each metric, as of 2026-06-16. The remainder are honest gaps, not zeros.

Space budget
46/208of 208

Curated agency budgets (18) plus OECD GBARD (40) and Wikidata (3). Countries that do not publish a space budget are left honestly empty, never estimated.

Jurisdiction score
58/208of 208

58 countries have a hand-built jurisdiction profile. Scores are only computed once you set weights; the rest are not yet profiled.

Ground stations
131/208of 208

Curated agency and operator rosters completed by SatNOGS and Wikidata sited stations. Lists principal stations, not every antenna; absence means none catalogued.

Satellites (owner state)
86/208of 208

93 owner states attributed from GCAT operational payloads (plus live CelesTrak at runtime). Multi-state operators (e.g. ESA) are bucketed separately, not collapsed into a country.

Astronauts
43/208of 208

43 countries have a flown-astronaut roster. The rest have sent no nationals to space and show an honest empty roster.

Launch sites
33/208of 208

33 countries host a catalogued launch centre. Most countries operate no launch site and show none.

Space agency
207/208of 208

207 countries have a named space body. The remainder have no standalone agency and are labelled as such.

National strategy
76/208of 208

76 countries have a standalone published national space strategy; a further 51 embed it in broader policy. The rest are marked not applicable.

UN treaty status
208/208of 208

Per-country ratification status of the UN space treaties is recorded for all 208 dossier countries, sourced from UNOOSA.

Treaty signatories
6/8of 8

Full signatory lists are populated for 6 of 8 tracked instruments (the 5 UN space treaties from UNOOSA plus the Artemis Accords). The remaining instruments (MTCR, HCoC) carry per-country status in the dossier but no enumerated signatory list yet.

Source priority

When two reputable sources disagree on a cell, the dataset follows a fixed priority, highest first. A higher tier overrides a lower one; a cell whose only support is tier 4 or 5 cannot carry high confidence.

  1. 1Primary law · the statute or official gazette text itself.
  2. 2The regulator · the competent authority’s own fee schedules, licensing guidance and registers.
  3. 3Official datasets · OECD, UNESCO UIS, Eurostat, the ITU, the World Bank and equivalents.
  4. 4Reputable secondary analysis · established law-firm practice guides and recognised industry trackers.
  5. 5Press and news archives · to date events, never to source a legal or numeric value.

The ten dimensions

01

Licensing regime

Speed, cost and track record of getting a space licence.

02

Spectrum and filing

Workability of the radio-frequency and orbital-filing route.

03

Liability and insurance

Operator exposure and the cost of mandatory cover.

04

Foreign ownership

Whether a non-national founder can own and structure the company freely.

05

Tax and incentives

Effective tax burden and space-specific support.

06

Capital and ecosystem

Active space capital and ecosystem depth.

07

Talent and industry

Supply and cost of aerospace engineering talent.

08

Export control

Supply-chain friction under export and sanctions regimes.

09

Launch access and customers

Access to launch and to government anchor demand.

10

Governance and standing

UN space treaties, Artemis Accords and debris-mitigation rules.

Within each dimension a subset of subfields is scored; the rest are descriptive, shown to you but not fed into the maths. A dimension’s score is the mean of its available scored subfields, with equal sub-weight · sub-weighting would reintroduce hidden editorial judgment. A gap subfield is excluded from the mean.

Absolute anchor scales

Each scored numeric metric maps onto a fixed, published 0 to 100 scale · scored against a real-world range, not min-maxed across the countries on screen. best scores 100, worst scores 0, clamped. A few metrics that span orders of magnitude (space VC, ecosystem composite, graduates, headcount) use a log scale so a mid-sized ecosystem is not crushed to near zero because one or two giants exist.

Relative min-max made a country’s score move when a peer was added or removed, and sank a genuine extreme (the United States on fee size or VC volume) for being the extreme rather than for being worse. An absolute anchor gives a stable, defensible number.

MetricBetter1000Scale
Licence timelinelower0 mo24 molinear
Licence fees (application + annual, EUR)lower0200,000linear
ITU coordinationlower0 mo84 molinear
OECD FDI restrictivenesslower00.5linear
Corporate effective taxlower0%35%linear
Space grant programmeshigher50linear
Space VC raised (24 mo, EUR)higher20bn0log
Specialised fundshigher150linear
StartupBlink compositehigher2200log
Engineering graduates / yrhigher300,0000log
Space-industry headcounthigher250,0000log
Senior engineer cost (EUR)lower (cost)20,000200,000linear
Export approvallower0 mo12 molinear
Anchor-customer contractshigher40linear
UN treaties ratified (of 5)higher50linear

Categorical metrics use an explicit value-to-score map (full foreign ownership: yes 100 / restricted 50 / no 0; operator liability: limited 100 / unlimited 35). Secondary-sanctions risk is shown as context but deliberately not scored · a subjective rating is kept out of the maths.

The country total

total(c) = Σd ( wd × dimensionScore(c, d) ) / Σd wd

Summed over the ten dimensions; a dimension you weight 0 drops out entirely. Because the scales are absolute, a country’s score is independent of the set on screen · adding or removing a comparator never changes another country’s number. Under equal weights the United States scores ~71.6 (11th of 58); France, Portugal and Finland lead on genuinely fast, cheap, open and treaty-complete regimes.

Gap handling and hard filters

You may set knockout rules (exclude any country without a comprehensive space law); filtered countries are removed before scoring and listed separately with the reason. If, for any dimension you weighted 7 or higher, more than 40% of its scored subfields are gaps, the country is badged “insufficient data for your profile” · it still appears with its partial data, but is held out of the ranked shortlist rather than scored on thin evidence.

Coverage and review tiers · named, honest

Each profile carries an honest tier. Reviewed means a named space-law reviewer has signed it (their name, role and date appear in the tool). Researched · not yet expert-reviewed is the 58-country core: sourced, dated and confidence-rated across all ten dimensions, but not yet signed by an external expert. Skeleton covers a further 45 economies on three officially-sourced pillars only · UN treaty status (UNOOSA), OECD FDI openness and corporate tax · with every venture-specific dimension an explicit gap; they are scored only on those pillars, always flagged provisional, and never rank among the researched set. No profile is fabricated as “reviewed” · inventing a reviewer’s name would breach the anti-fabrication rule. The mechanism exists so that, when a real practitioner signs a flagship jurisdiction, their name appears.

The honest-competitor test

If a serious analyst · Novaspace, BryceTech, a space-law practice · reviewed this, could they point to a concrete factual error, a mis-cited source, or a country with invented data? If the answer is “probably yes, in cell X”, cell X is not published · it is marked as a gap. The tool’s only asset is its credibility.

Decision support, not advice

This combines curated public data with maths you define. It does not replace a space-law practitioner, a direct conversation with a regulator, or a real anchor-customer agreement. What it does well: narrow ~50 countries to three worth investigating in depth, with verifiable data and transparent maths.