Sovereign Economic Resilience Index
How SERI measures a sovereign economy’s capacity to absorb, adapt, and recover from structural shocks.
What SERI measures
SERI assesses the structural resilience of a sovereign economy — its ability to withstand shocks, adapt to changing conditions, and recover without fundamental collapse. Unlike a growth forecast or a credit rating, SERI focuses on deep structural characteristics that change slowly: fiscal headroom, external balance sheets, economic complexity, and institutional depth. A higher composite score means greater resilience — countries are ranked with the highest score as #1, so #1 is the most resilient economy, not the largest or richest.
The four pillars
Fiscal Space
25%Government’s capacity to respond to shocks without destabilising public finances. Measured through debt-to-GDP, deficit trajectory, interest burden, and revenue base depth.
External Vulnerability
25%Exposure to external imbalances and capital-flow reversals. Captures current-account position, foreign-exchange reserves, external debt composition, and export concentration.
Economic Sophistication
25%The complexity and diversity of a country’s productive structure — more sophisticated, diversified economies are better at absorbing sectoral shocks and adapting to new conditions.
Institutional Resilience
25%Quality of governance, rule of law, and institutional capacity to manage crises effectively and credibly.
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 SERI specifically:
Coverage & partial ranks
SERI requires at least 3 of its 4 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 SERI:
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.
Data sources
| Pillar | Primary source | Refresh cadence | Coverage |
|---|---|---|---|
| Fiscal Space | IMF WEO, World Bank | Weekly (cached), quarterly (live) | ~196 countries |
| External Vulnerability | IMF WEO, World Bank, UN Comtrade | Weekly | ~196 countries |
| Economic Sophistication | Harvard Atlas of Economic Complexity, WDI | Weekly | ~180 countries |
| Institutional Resilience | WGI, V-Dem, Transparency International | Weekly | ~190 countries |
Deviations from BMS‑1.0.0
SERI is BMS‑1.0.0 conformant with one documented deviation:
Economic Sophistication — multi‑source composite
BMS‑003 assumes one series per indicator. Economic Sophistication is a derived composite of ECI, product diversity, and services share — combined before percentile ranking. Documented here per BMS‑003 rule 6.
Version history
Sovereign Infrastructure Vulnerability Index
How SIVI measures a country’s structural exposure to infrastructure disruption — and how to read its ranks.
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.
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.
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.
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.
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:
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:
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.
Data sources
| Pillar | Primary source | Refresh cadence | Coverage |
|---|---|---|---|
| Energy Dependency | U.S. Energy Information Administration (EIA) | Daily (cached), weekly (live) | ~217 countries |
| Maritime Exposure | World Bank WDI — Liner Shipping Connectivity Index | Weekly | Coastal states + 44 structural‑zero landlocked states |
| Single‑Supplier Concentration | UN Comtrade — total import partner data | Weekly | Countries with an active Comtrade reporter code |
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.
Version history
Governance Capture Risk Index
The Governance Capture Risk Index estimates the degree to which a country’s institutions — its regulatory system, its political process, its information environment, and its formal safeguards against undue influence — are vulnerable to capture by concentrated economic or political interests.
Higher score = higher risk Lower score = stronger resistance
This is a risk index built entirely from real, independently published data. No figures are estimated, interpolated, or fabricated by Blomstra. Every score traces back to a named public institution’s own published statistics.
The Four Pillars
Each pillar captures a distinct vector of capture risk. Together they answer a question no single metric can: not just how democratic a country is, but how robust its institutions are against private capture.
⚙️ Adaptive coverage: If a country is missing one pillar, the remaining three are reweighted so their weights still sum to 100% — the missing pillar’s absence does not silently count against the country as a zero. If two or more pillars are missing, the country is excluded entirely, flagged as having insufficient data.
Data Sources
All data is sourced from internationally recognised institutions with open APIs and transparent methodologies — the same institutional standard used across every Blomstra index.
| Pillar | Source | Indicator(s) | Coverage |
|---|---|---|---|
| Regulatory Capture | World Bank WGI | GOV_WGI_RQ.SC (Regulatory Quality), GOV_WGI_CC.SC (Control of Corruption) |
~190 countries |
| Political Capture | V-Dem / Our World in Data | political-corruption-index |
~180 countries |
| Information Environment | V-Dem / Our World in Data | freedom-of-expression-index + Media Corruption Score (averaged) |
~180 countries |
| Public Integrity Safeguards | OECD | 9 sub-measures across 6 topics (lobbying, revolving door, consultation, evaluation, whistleblower protection, risk management) | ~40 countries (OECD members + partners) |
🔍 Auditability: Every data point traces back to a verifiable public source. We do not use proprietary panels, paid consumer datasets, or black-box estimates.
How the Score Is Built
Step 1: Pillar-level risk scores
Each pillar produces a 0–100 risk score, oriented so that higher always means higher capture risk. This is done by inverting “good” indicators (where higher = better governance) and rescaling all sources to a common 0–100 axis.
Step 2: Composite aggregation
The four pillar risk scores are combined using a weighted average. The default weight is 25% per pillar, editable via the admin interface.
Step 3: Missing-pillar handling
- Missing exactly one pillar: The remaining three weights are renormalized to sum to 100%. The country is still scored, with its coverage count displayed.
- Missing two or more pillars: The country is excluded entirely, flagged as
INSUFFICIENT_DATA. - Why this matters: Since Pillar 4 (OECD Safeguards) covers only ~40 countries, most scores are built on three pillars. This is displayed transparently rather than concealed.
📊 Example: A non-OECD country with data for Pillars 1, 2, and 3 but no Pillar 4 would receive a composite score based on reweighted weights of 33.3% each for the three available pillars. The country is still ranked, but with a clear “3 of 4 pillars” coverage flag.
Coverage & Transparency
Not every country has equal data availability. World Bank and V-Dem data cover the large majority of the world’s countries. OECD’s Public Integrity Indicators, currently the newest and narrowest of the four sources, cover OECD member states plus a small number of formal adherents and key partners.
Every published score is shown alongside how many of the four pillars — and, for the Safeguards pillar specifically, how many of its underlying topics — actually contributed to it. Coverage is never hidden.
What Is Deliberately Not Included
A fifth pillar, covering tax and offshore secrecy enablement, is under active evaluation. It is not yet included because we have not identified a data source for it that meets our standard: real, institutionally published, and retrievable without manual downloads or ad hoc data handling.
We would rather publish four verified pillars than five, with one resting on a compromise.
Update Cadence
The index is rebuilt on a weekly automated schedule, drawing fresh data directly from each source’s own published data service. No manual intervention is required — the pipeline runs unattended, exactly like the Prosperity Index.
📅 190+ countries scored · 4 pillars · updated weekly
Limitations
- The index measures institutional/proxy risk, not direct corporate influence in dollar or transactional terms.
- Pillar 4 covers only ~40 countries, meaning most scores rest on three pillars — this is disclosed but remains a comparability consideration.
- Some underlying measures are de jure (formal legal frameworks) rather than de facto (actual implementation), which can penalize countries with strong uncodified norms.
- The Tax/Offshore dimension is entirely absent pending a resolvable data-access path.
Prosperity Index
The Blomstra Prosperity Index is a composite score (0–100) that quantifies a country’s real-world livability and opportunity. It combines five pillars — Income Potential, Affordability, Human Development, Freedom & Governance, and Safety — into a single, transparent measure designed for relocation research, investment context, and cross-country comparison.
A higher score indicates greater prosperity. The index is refreshed weekly and draws exclusively from authoritative, public data sources — never fabricated, never scraped, never manually estimated.
The Five Pillars
Each pillar captures a distinct dimension of what makes a country livable. Together they answer a question no single metric can: not just how rich a country is, but how well an individual can actually build a life there.
⚙️ Adaptive weighting: if a data point is genuinely unavailable for a country in a given week, that pillar is left out of its composite for that country rather than assumed — and the remaining weights are automatically rebalanced so the score always reflects real data, never a placeholder.
Data Sources
All data is sourced from internationally recognised institutions with open APIs and transparent methodologies — the same institutional standard used across every Blomstra index.
| Pillar | Source | Indicator | Update Frequency |
|---|---|---|---|
| Income Potential | World Bank | NY.GNP.PCAP.CD |
Annual (latest year available) |
| Affordability | World Bank / International Comparison Program | PA.NUS.GDP.PLI |
Annual, refreshed weekly |
| Human Development | World Bank + World Health Organization | Education, connectivity & life expectancy indicators | Annual, refreshed weekly |
| Freedom & Governance | World Bank Worldwide Governance Indicators | Voice & Accountability, Rule of Law | Annual, refreshed weekly |
| Safety | World Bank | Political Stability, homicide rate | Annual, refreshed weekly |
🔍 Auditability: Every data point traces back to a verifiable public source. We do not use proprietary panels, paid consumer datasets, or black-box estimates.
How the Score Is Built
Raw indicators arrive on wildly different scales — a homicide rate and a governance score have nothing in common numerically. Each pillar is independently normalized to a common 0–100 scale before being combined, using a calibration approach suited to that pillar’s real-world distribution (some are scaled logarithmically, where the difference at the low end matters far more than at the high end; others are scaled linearly, where differences are more evenly meaningful throughout the range).
The exact calibration constants for each pillar are part of Blomstra’s internal methodology and are not published in full, to preserve the integrity of the ranking against gaming or reverse-engineering — consistent with how comparable institutional indices (sovereign credit ratings, macro risk scores) handle their internal weighting logic.
Prosperity Tiers
Scores are mapped to five intuitive tiers:
Strengths & Weaknesses Profiles
Beyond a single score, every country is profiled against its own five pillars to surface where it genuinely stands out and where it lags — relative to itself, not to an absolute bar. A country’s listed “weakness” can still be a strong number in absolute terms; the profile describes the shape of that country’s own balance, not a verdict on any single pillar.
Transparency & Data Vintage
Every refresh of the index reports the countries covered and the total scored — so you always know the scope of the current ranking. Underlying source data typically reflects the most recently reported year available per country, which can vary slightly between countries depending on how quickly each government or institution publishes.
📅 Example: 195 countries scored · updated weekly · sourced from World Bank and WHO
Regional and income-group aggregates (e.g. “Sub-Saharan Africa,” “High income”) are never included as rankable entities — only real countries are scored.
Limitations
- The index is a snapshot based on the latest available official statistics — it does not predict future trajectory.
- Some smaller or less-surveyed countries have thinner underlying data than major economies, which the index accounts for but cannot fully eliminate.
- The index does not capture every dimension of lived experience (climate, culture, personal fit) — it is a quantitative starting point, not a substitute for on-the-ground research.
- It is a comparative tool intended to inform decisions, not make them for you.
Geopolitical Risk Index
The Blomstra Geopolitical Risk Index is a composite score (0–100) that quantifies country‑level geopolitical risk. It combines three pillars — Militarization, Conflict Intensity, and Displacement — into a single, transparent measure designed for sovereign risk assessment, portfolio allocation, and supply chain monitoring.
A higher score indicates higher geopolitical risk. The index is refreshed weekly and draws exclusively from authoritative, public data sources.
The Three Pillars
Each pillar captures a distinct dimension of geopolitical stress. They are weighted according to their direct impact on security and stability.
Data Sources
All data is sourced from internationally recognised institutions with open APIs and transparent methodologies.
| Pillar | Source | Indicator | Update Frequency |
|---|---|---|---|
| Militarization | World Bank / SIPRI | MS.MIL.XPND.GD.ZS |
Annual (latest year via MRV=1) |
| Conflict Intensity | UCDP (Uppsala Conflict Data Program) | GED (Georeferenced Event Dataset) | Annual, refreshed weekly |
| Displacement | UNHCR Refugee Data Finder | Refugee counts by origin & asylum | Annual, refreshed weekly |
🔍 Auditability: Every data point is verifiable via the original source APIs. We do not use proprietary or black‑box data.
Why Logarithmic Scaling?
Raw indicators vary by orders of magnitude — a country might spend 0.1% of GDP on defence, while another spends 10%. A linear scale would let extreme values dominate the composite. We use logarithmic scaling to ensure that relative differences are captured fairly, and that no single outlier skews the index.
Each pillar has a calibrated floor and ceiling that determine the 0–100 mapping. For conflict and displacement, we add 1 to the rate before taking the log to avoid zero values.
Composite Calculation
The final index is a weighted sum of the three pillar scores:
Weights are fixed and reflect the relative importance of each dimension in driving overall geopolitical risk. If a pillar is unavailable for a given country (e.g., no conflict data), its weight is redistributed proportionally among the remaining pillars.
Risk Tiers
Scores are mapped to four intuitive risk categories:
Transparency & Data Vintage
Every refresh of the index reports the exact data vintage for each pillar — so you know whether you are looking at 2024 or 2025 data. This is displayed in the admin panel and exposed via the REST API.
📅 Example: World Bank: latest available (mrnev=1) · UCDP: 2025 · UNHCR: 2024 · ACLED: trailing 365 days
No hidden assumptions. Every number is traceable to its source.
Limitations
- The index is a snapshot — it does not predict future events.
- Displacement data is a lagging indicator; by the time refugees are counted, the crisis has already occurred.
- The index does not capture all dimensions of risk (e.g., cyber threats, trade dependencies, diplomatic isolation).
- It is a quantitative tool intended to complement, not replace, qualitative analysis.
- Data availability varies by country; some small states may have missing data for certain pillars, which may result in incomplete scores.
On a rainy afternoon in Sweden, I sat in a small café with a Swedish woman, sipping coffee and chatting about everyday things. Then, out of nowhere, the conversation turned to women’s rights, Islam, and Western values. These topics aren’t something I usually discuss casually, but what she said next left me speechless.
“If women want to live in Sweden,” she said, “they must be forced to wear Western clothes. They shouldn’t be allowed to wear hijabs or cover their hair. If they want to do that, they should go to Afghanistan or Iran.”
Her words stopped me in my tracks. Sweden is known as a country of freedom and acceptance. Yet here I was, hearing someone suggest controlling how women dress—forcing them to follow one way of life. It felt hypocritical, like criticizing one kind of oppression while promoting another.
In my opinion, her perspective was very similar to the Taliban’s enforcement of burkas. Both ideologies, though on opposite ends of the spectrum, rely on the same principle—control. Whether it’s forcing women to cover themselves or banning them from covering up, both are examples of imposing a dress code through power and coercion.
The underlying message of both approaches is the same: women cannot be trusted to make their own choices. That, in itself, is the very definition of extremism—using authority to dictate personal freedoms.
The Words That Hit Me Hard
As we kept talking, her opinions became even more troubling. She argued that women who cover their hair or wear modest clothing couldn’t be considered “educated.”
“A truly educated woman,” she claimed, “doesn’t hide her body or hair. Women who do that belong to uneducated societies.”
I couldn’t help but think of the amazing women I’ve met over the years—women who wear hijabs and are doctors, scientists, professors, and engineers. Their work saves lives, shapes minds, and builds the future. How could anyone claim they are uneducated because of what they wear?
Then, the conversation shifted again. This time, she talked about what it means to be “progressive” in Western society. According to her, a progressive, independent woman:
- Doesn’t care what society thinks.
- Ignores others’ feelings.
- Focuses only on her own success.
- Breaks all traditions, no matter what.
- Does whatever she wants, without worrying about the consequences.
Hearing this, I felt a deep discomfort. Is this what progress looks like? A person who disregards others and leaves behind all traditions? To me, this didn’t feel like progress—it felt like selfishness.
The Parallels Between Extremism in the East and the West
This conversation left me grappling with a haunting truth: the line between freedom and control is far thinner than we like to admit.
When the Taliban enforces strict dress codes, the world rightly condemns them for denying women their autonomy. But when Western societies propose banning hijabs, isn’t that just the other side of the same coin? Both approaches strip women of their ability to choose.
The rhetoric might sound different—”protecting tradition” versus “promoting progress”—but the outcome is the same: women’s bodies and choices become a battleground for ideological control. Whether it’s the Taliban or a Western government, extremism takes root when personal freedoms are sacrificed to enforce conformity.
The Questions I Couldn’t Stop Thinking About
After that conversation, I couldn’t stop thinking about three big questions:
- Can we call it freedom if we’re forcing people to make certain choices?
If we tell women they can’t wear a hijab or modest clothes, how is that different from forcing them to wear one? Real freedom means letting people choose for themselves.
Take Malala Yousafzai, for example. She wears a headscarf and is a Nobel Peace Prize winner, fighting for girls’ education around the world. Her scarf doesn’t make her less educated or progressive. It’s a part of her identity, and she’s proud of it.
- Why do we confuse unity with everyone looking the same?
Diversity is what makes societies rich and strong. When people from different cultures, faiths, and traditions come together, we learn from each other. For example, I’ve seen schools where children share stories about their holidays, like Christmas, Eid, and Diwali. These moments don’t divide us—they bring us closer. - Does breaking all traditions really mean progress?
Not all traditions are bad. Some are about love, community, and respect. For example, in many cultures, eating meals together as a family is a tradition. It teaches us to care for each other and build stronger relationships. Isn’t that a tradition worth keeping?
What We Can Do to Move Forward
That conversation taught me that we need to reflect on how we treat freedom, progress, and diversity. Change starts with all of us.
What We Can Do as Individuals
- Challenge stereotypes. Instead of assuming, ask questions and learn about other cultures.
- Support personal choice. Whether someone chooses to wear a hijab or not, respect their decision.
- Speak up. If you hear something unfair, like the comments I heard that day, don’t be afraid to share your perspective.
What Communities Can Do
- Start cultural exchange programs. Schools and workplaces can hold events where people share traditions, clothing, and stories.
- Encourage dialogue. Create spaces where people can talk openly about their experiences and values.
- Celebrate diversity. Highlight the achievements of people from all walks of life to show that success looks different for everyone.
Stories That Inspire Me
There are so many examples of people and communities embracing diversity. Here are a few that give me hope:
- The school that celebrates “Cultural Day”: Students and parents bring dishes, clothes, and traditions from their cultures to share. It’s a fun and eye-opening experience for everyone.
- The workplace that adapts: A Swedish company created a policy allowing women to wear hijabs while maintaining professional dress codes. It’s a simple change that shows respect for personal choices.
- The community center that builds bridges: A local center hosts workshops where people from different faiths discuss topics like parenting, education, and traditions. These conversations create understanding and friendships.
This experience taught me that true freedom isn’t about making everyone the same. It’s about respecting people’s choices and allowing them to live as they are. Progress isn’t about abandoning traditions or putting yourself first—it’s about moving forward together, with empathy and respect.
Real freedom means:
- Supporting women’s right to dress how they want, whether in a hijab, jeans, or a sari.
- Understanding that education is about building empathy and knowledge, not judging appearances.
- Recognizing that progress includes listening to different perspectives.
- Knowing that tradition and progress can coexist—they don’t have to cancel each other out.
A Personal Reflection
Looking back, what troubled me most wasn’t just the opinions expressed in that conversation. It was the broader idea that progress and freedom require control or selfishness.
Freedom can’t be forced. Progress doesn’t mean breaking everything old. And education should lead to understanding, not judgment.
Moving Forward Together
Building an inclusive world takes time, patience, and effort. But it’s worth it. Here’s how we can start:
- Be patient. Change doesn’t happen overnight.
- Be persistent. Even when it’s hard, keep advocating for inclusion.
- Be empathetic. Try to understand others, even if you don’t agree.
- Take action. Don’t just talk about change—be part of it.
Sometimes, the most uncomfortable conversations teach us the most valuable lessons. That day in Sweden, over a cup of coffee, I learned that real freedom and progress come from letting people be themselves while respecting everyone else.
#FreedomOfExpression #HumanRights #FashionPolitics #CulturalIdentity #DressCodeDebate