WeCovr Intelligence / 2026 Study
Asia-Pacific Safety Index 2026
This regional view compares East Asian, Australasian, and medical-tourism systems, bringing together longevity, prevention-led resilience, care throughput, and air-quality variation.
Top ranked
🇸🇬 Singapore
85.6 Global Safety score
Body 82 / Life 100 / Wallet 76 / Planet 81Key finding
Japan leads this regional view, while Singapore, New Zealand, Taiwan, Hong Kong, and Australia show different versions of high-access resilience.
Study name
Published as the WeCovr Intelligence 2026 Global Safety Index.
Asia-Pacific ranking
Ranked by the Gross Protection geometric formula: Body Shield 35%, Life Shield 30%, Wallet Shield 20%, and Planet Shield 15%. The separate tables below show the evidence behind each pillar.
| Regional rank | Country | Region | Global Safety score | Shields | Badges | Global rank |
|---|---|---|---|---|---|---|
🇸🇬 Singapore | Asia | 85.6 | Shield breakdown | Resilient Tier Civil Security | ||
🇯🇵 Japan | Asia | 80.2 | Shield breakdown | Resilient Tier Civil Security | ||
🇮🇱 Israel | Asia | 74 | Shield breakdown | |||
ðŸ‡ðŸ‡° Hong Kong | Asia | 73.8 | Shield breakdown | Civil Security | ||
🇦🇺 Australia | Oceania | 72.5 | Shield breakdown | Pure Air | ||
🇳🇿 New Zealand | Oceania | 71.8 | Shield breakdown | Pure Air | ||
🇹🇼 Taiwan | Asia | 68.1 | Shield breakdown | |||
🇰🇷 South Korea | Asia | 65.3 | Shield breakdown | Civil Security | ||
🇲🇾 Malaysia | Asia | 62.6 | Shield breakdown | |||
🇹🇠Thailand | Asia | 59.3 | Shield breakdown |
Badge definitions
Reserved for nations achieving a top-tier GSI score (>85), representing elite systemic resilience.
Nations with exceptionally low out-of-pocket risk or high GDP-to-cost protection ratios.
Systems characterized by 'Very Low' or 'Low' wait times combined with high survival outcomes.
Strong performers (Score >70) that provide stable protection despite specific regional pressures.
Highlights nations with exceptionally low homicide rates (<0.6 per 100k).
Recognizes nations with elite air quality performance (Score >90).
Sources behind this table
Global Safety scores combine OECD Health at a Glance, WHO Global Health Observatory, WHO National Health Accounts, WHO / World Bank financial-protection data, World Bank GNI Atlas context, World Bank / UNODC homicide series VC.IHR.PSRC.P5, WHO Ambient Air Quality Database V6.1, and Germanwatch climate-risk context.
Figure 1.1: The Resilience Shield Comparison
Measuring Resilience
While national wealth provides the foundation for safety, the 2026 Index reveals that GDP is not a guaranteed proxy for resident protection. By mapping the four Resilience Shields - Body, Life, Wallet, and Planet - we identify a 'Resilience Frontier' where systemic design often outweighs raw economic output.
The radar chart illustrates this balance: an 'Elite Haven' is defined not just by the depth of its resources, but by the symmetry of its protection. Even high-income nations can fall into a 'Protection Gap' if elite medical outcomes (Body) are undermined by high personal financial exposure (Wallet) or civil safety volatility (Life).
Figure 1.2: The Resilience Quadrants
Mapping Economic Wealth (GDP) vs. Systemic Protection. Top-Left is the Efficiency Frontier.
Figure 1.3: Healthcare Efficiency & Outcomes
Mapping Care Access Speed vs. Clinical Survival. Top-right is the Gold Standard.
Country notes: what is driving each result
These notes summarize the main country-level factor behind each result under the Gross Protection model, from healthcare access and mortality to household cost exposure, safety pressure, and environmental resilience.
| Regional rank | Country | Global Safety score | Global rank | Commentary |
|---|---|---|---|---|
🇸🇬 Singapore Asia | 85.6 | Rapid throughput in a tightly managed public-private system, with meaningful cost-sharing risk for households. | ||
🇯🇵 Japan Asia | 80.2 | Strong healthy-ageing profile. High healthy life expectancy at age 60 and relatively low friction for specialist consultations. | ||
🇮🇱 Israel Asia | 74 | Digital tech leader. Strong AMI survival rates reflect integrated emergency care. | ||
ðŸ‡ðŸ‡° Hong Kong Asia | 73.8 | Dual public-private system: private access can be fast, while public elective waits remain a planning factor. | ||
🇦🇺 Australia Oceania | 72.5 | Prevention model. Recent public-health measures have reduced some lifestyle risks, while public elective-care waits remain relevant. | ||
🇳🇿 New Zealand Oceania | 71.8 | High safety profile and strong air-quality appeal, with elective surgery waits still relevant for residents. | ||
🇹🇼 Taiwan Asia | 68.1 | Accessible single-payer model with low primary-care friction, offset by higher direct household cost exposure. | ||
🇰🇷 South Korea Asia | 65.3 | Low obesity prevalence and fast specialist access, but household financial exposure remains high. | ||
🇲🇾 Malaysia Asia | 62.6 | Medical-tourism hub with fast private pathways and broad public-sector access for residents. | ||
🇹🇠Thailand Asia | 59.3 | Tax-funded universal coverage supports strong value-for-money access, with public wait pressure varying by province. |
Sources behind this table
Country notes synthesize the same pillar evidence used in the score: OECD mortality and wait-time benchmarks, WHO and national health-system references, WHO / World Bank financial-protection indicators, UNODC homicide data, and environmental resilience inputs. Notes are interpretive summaries, not separate scored variables.
Typical Care Access Speed
Waiting time can vary by procedure, region, hospital network, and whether a resident uses public or private care. The table gives a practical country-level read on primary, specialist, diagnostic, and elective-care pressure.
Sources: OECD wait-time reporting, WHO health-system context, national public waiting-list releases where available, and comparable access-pressure categories. The band is a guide, not a promise for a specific procedure.
| # | Country | Care Access Speed | Access note |
|---|---|---|---|
| 1 | 🇸🇬 Singapore | Fast | Rapid throughput across public-private pathways; access remains plan- and provider-dependent |
| 2 | 🇯🇵 Japan | Fast | Minimal friction for specialist consultations; waits remain procedure- and region-dependent |
| 3 | 🇹🇼 Taiwan | Fast | Very short waits for primary and specialist care under NHI, with dense clinic networks and walk‑in access. |
| 4 | 🇰🇷 South Korea | Fast | Fast specialist access with high private cost exposure |
| 5 | 🇲🇾 Malaysia | Fast | Fast access in private hospitals; public sector generally manageable but slower for some elective procedures. |
| 6 | 🇮🇱 Israel | Moderate | Moderate waits; emergency pathways are strong |
| 7 | 🇳🇿 New Zealand | Moderate | High same-day GP access; public elective surgery can face notable queues, private cover often used for speed. |
| 8 | 🇹🇠Thailand | Moderate | Universal tax‑funded cover; public elective waits exist but private hospitals provide fast access at modest cost. |
| 9 | ðŸ‡ðŸ‡° Hong Kong | Slow | Public hospitals have long elective queues; private sector offers rapid access for those insured or self‑paying. |
| 10 | 🇦🇺 Australia | Slow | Elective public surgery waits often lengthy; private cover used by many for faster elective care. |
Sources behind this table
OECD wait-time datasets are the principal comparison source for countries where procedure-level medians are published. WHO and national health-system releases help compare countries where elective-wait medians are incomplete or where access depends heavily on private insurance status.
Avoidable mortality: the survival test
Avoidable mortality estimates deaths that should be preventable or treatable through timely, effective healthcare and public-health policy. Lower is better. It is useful because it cuts through branding: a country may spend heavily, but if people still die from treatable or preventable causes at high rates, the system is not fully protecting residents.
Mortality is part of the system-effectiveness score, but it is shown separately because it is one of the clearest indicators of whether wealth translates into survival.
| # | Country | Avoidable mortality | Interpretation |
|---|---|---|---|
| 1 | ðŸ‡ðŸ‡° Hong Kong | 120 per 100k | Strong survival profile |
| 2 | 🇮🇱 Israel | 134 per 100k | Strong survival profile |
| 3 | 🇯🇵 Japan | 135 per 100k | Strong survival profile |
| 4 | 🇹🇼 Taiwan | 145 per 100k | Strong survival profile |
| 5 | 🇦🇺 Australia | 146 per 100k | Strong survival profile |
| 6 | 🇸🇬 Singapore | 151 per 100k | Moderate risk |
| 7 | 🇰🇷 South Korea | 151 per 100k | Moderate risk |
| 8 | 🇳🇿 New Zealand | 160 per 100k | Moderate risk |
| 9 | 🇲🇾 Malaysia | 185 per 100k | Moderate risk |
| 10 | 🇹🇠Thailand | 215 per 100k | Moderate risk |
Lower avoidable mortality in this view
Hong Kong (120), Israel (134), Japan (135), Taiwan (145), Australia (146).
Greater avoidable mortality pressure in this view
Thailand (215), Malaysia (185), New Zealand (160), Singapore (151), South Korea (151).
Sources behind this table
Avoidable mortality values are drawn primarily from OECD Health at a Glance 2025, using preventable and treatable mortality rates per 100,000. WHO Global Health Observatory and UNDP health indicators provide supporting health-outcome context where needed.
Civil Security Score: average intentional homicide rate
Crime is a broad concept, so this table uses intentional homicide as the comparable safety marker. To reduce the effect of one exceptional year, the rate is averaged across the available 2017-2022 observations for each country.
This does not capture burglary, fraud, assault, or perceived safety. It is a hard safety signal: lower average rates generally indicate a lower risk of fatal violence over time.
1 provisional country rows are awaiting multi-year homicide averages and are not shown in this table yet.
| # | Country | Avg. homicide rate | Years used | Safety reading |
|---|---|---|---|---|
| 1 | 🇸🇬 Singapore | 0.163 per 100k | 2017, 2018, 2019, 2020, 2021, 2022 | Very low homicide rate |
| 2 | 🇯🇵 Japan | 0.244 per 100k | 2017, 2018, 2019, 2020, 2021, 2022 | Very low homicide rate |
| 3 | ðŸ‡ðŸ‡° Hong Kong | 0.381 per 100k | 2017, 2018, 2019, 2020, 2021, 2022 | Very low homicide rate |
| 4 | 🇰🇷 South Korea | 0.553 per 100k | 2017, 2018, 2019, 2020, 2021, 2022 | Low homicide rate |
| 5 | 🇦🇺 Australia | 0.841 per 100k | 2017, 2018, 2019, 2020, 2021, 2022 | Low homicide rate |
| 6 | 🇲🇾 Malaysia | 0.871 per 100k | 2017, 2018, 2019, 2020, 2021, 2022 | Low homicide rate |
| 7 | 🇳🇿 New Zealand | 1.296 per 100k | 2017, 2018, 2019, 2020, 2021, 2022 | Low homicide rate |
| 8 | 🇮🇱 Israel | 1.659 per 100k | 2017, 2018, 2019, 2020, 2021, 2022 | Elevated homicide rate |
| 9 | 🇹🇠Thailand | 2.580 per 100k | 2017 | Elevated homicide rate |
Lower average homicide rates in this view
Singapore (0.163), Japan (0.244), Hong Kong (0.381), South Korea (0.553), Australia (0.841).
Greater average homicide-rate pressure in this view
Thailand (2.580), Israel (1.659), New Zealand (1.296), Malaysia (0.871), Australia (0.841).
Sources behind this table
Intentional homicide rates use the World Bank / UNODC series VC.IHR.PSRC.P5. The table averages available non-null observations from 2017-2022 to reduce single-year volatility; Thailand uses the available 2017 value, and Taiwan is excluded from this table because no official 2017-2022 value is available.
Planetary Resilience: Air quality and climate risk
Environmental conditions matter because clean air, heat exposure, flood risk, wildfire risk, and climate adaptation all affect long-term health security. Higher scores are better.
The air quality score reflects normalized PM2.5 exposure. The climate-risk score reflects country-level exposure and adaptation capacity. These figures are national planning indicators, not forecasts for a specific town, home, or insurance policy.
| # | Country | Air quality | Climate resilience | Planetary Resilience Score | Reading |
|---|---|---|---|---|---|
| 1 | 🇳🇿 New Zealand | 95.8 | 75.4 | 86 | Moderate environmental pressure |
| 2 | 🇯🇵 Japan | 86.2 | 84.3 | 85 | Moderate environmental pressure |
| 3 | 🇦🇺 Australia | 92.5 | 74.2 | 83 | Moderate environmental pressure |
| 4 | 🇸🇬 Singapore | 81.4 | 80.2 | 81 | Moderate environmental pressure |
| 5 | ðŸ‡ðŸ‡° Hong Kong | 78.5 | 81.0 | 80 | Moderate environmental pressure |
| 6 | 🇮🇱 Israel | 79.9 | 78.2 | 79 | Moderate environmental pressure |
| 7 | 🇹🇼 Taiwan | 72.4 | 78.5 | 75 | Higher environmental pressure |
| 8 | 🇰🇷 South Korea | 61.2 | 80.5 | 71 | Higher environmental pressure |
| 9 | 🇲🇾 Malaysia | 65.4 | 62.1 | 64 | Higher environmental pressure |
| 10 | 🇹🇠Thailand | 54.2 | 58.7 | 56 | Higher environmental pressure |
Lower environmental pressure in this view
New Zealand (86), Japan (85), Australia (83), Singapore (81), Hong Kong (80).
Higher environmental pressure in this view
Thailand (56), Malaysia (64), South Korea (71), Taiwan (75), Israel (79).
Sources behind this table
Air quality uses WHO Ambient Air Quality Database V6.1 and normalized PM2.5 exposure. Climate resilience uses Germanwatch Global Climate Risk Index context and country-level adaptation indicators. Local property-level climate and air-quality assessment should be checked separately before relocation or purchase decisions.
What does Household Cost Exposure mean?
Out-of-pocket risk means the share of healthcare costs households pay directly rather than through taxation, social insurance, or private cover. A low out-of-pocket score means a country is better at absorbing medical shocks before they hit a household budget. A high out-of-pocket score means residents may still face meaningful bills even when the country is wealthy.
This is why the index separates bank-balance wealth from real protection. A rich country can still rank poorly if residents face long waits, uneven coverage, or large direct medical costs.
Greater direct-cost exposure in this view
🇰🇷
South Korea
🇹🇼
Taiwan
🇸🇬
Singapore
Figure 1.4: Regional Resilience Leaders (Top 5)
A comparative view of elite performers within their respective geographic peer groups.
Global Safety Index 2026: Regional Safety RankingsHealth-system models and coverage
Health outcomes depend partly on system design. This table explains whether coverage is broadly universal, whether private medical insurance is structurally required, and where direct household cost risk remains elevated.
| # | Country | System model | Coverage | Private cover | Household Cost Exposure | Healthy years |
|---|---|---|---|---|---|---|
| 1 | 🇦🇺 Australia | Beveridge-style with private option | Universal or near-universal | Optional; recommended for expats | 3.1% | 19.4 |
| 2 | ðŸ‡ðŸ‡° Hong Kong | Mixed public–private system; tax-funded Hospital Authority plus large private hospital sector. | Universal or near-universal | Required / structurally necessary | 3.8% | 20.2 |
| 3 | 🇮🇱 Israel | Bismarck / national health insurance | Universal or near-universal | Optional; recommended for expats | 2.7% | 19.5 |
| 4 | 🇯🇵 Japan | Bismarck / social insurance | Universal or near-universal | Optional; recommended for expats | 2.6% | 21.5 |
| 5 | 🇲🇾 Malaysia | Tax-funded public system plus large private hospital sector (two-tier mixed model). | Universal or near-universal | Optional; recommended for expats | 3.5% | 14.8 |
| 6 | 🇳🇿 New Zealand | Beveridge-style tax-funded system with strong primary care and DHB/Te Whatu Ora hospitals. | Universal or near-universal | Optional; recommended for expats | 2.8% | 18.2 |
| 7 | 🇸🇬 Singapore | Mixed mandatory savings + public support | Universal or near-universal | Optional; recommended for expats | 4.1% | 19.4 |
| 8 | 🇰🇷 South Korea | National Health Insurance | Universal or near-universal | Optional; recommended for expats | 5.5% | 18.4 |
| 9 | 🇹🇼 Taiwan | National Health Insurance (single-payer) with compulsory enrolment and fee-for-service providers. | Universal or near-universal | Optional; recommended for expats | 5.1% | 18 |
| 10 | 🇹🇠Thailand | Universal Coverage Scheme (tax-based) alongside social security and civil servant schemes. | Universal or near-universal | Optional; recommended for expats | 2% | 15 |
Sources behind this table
Health-system model and coverage classifications use WHO Global Health Observatory context, OECD Health at a Glance system notes, national health-system documentation, WHO National Health Accounts, and WHO / World Bank financial-protection indicators for direct household cost exposure.
Planning around private medical cover?
Estimate international private medical insurance costs before you choose a destination or rely on a local public system.
Long-term relocation and settlement context
Citizenship matters for long-term relocation planning, but it is not a health-system outcome. The figures below show typical non-marriage naturalisation routes and whether second citizenship is normally allowed.
| # | Country | Dual citizenship | Typical naturalisation period | Settlement note |
|---|---|---|---|---|
| 1 | 🇦🇺 Australia | Normally allowed | 4 years | Second citizenship is normally allowed; standard naturalisation is typically 4 years. |
| 2 | ðŸ‡ðŸ‡° Hong Kong | Restricted | 7 years | Second citizenship is restricted or conditional; check renunciation rules before planning a 7 year route. |
| 3 | 🇮🇱 Israel | Normally allowed | 3 years | Second citizenship is normally allowed; standard naturalisation is typically 3 years. |
| 4 | 🇯🇵 Japan | Restricted | 5 years | Second citizenship is restricted or conditional; check renunciation rules before planning a 5 year route. |
| 5 | 🇲🇾 Malaysia | Restricted | 10 years | Second citizenship is restricted or conditional; check renunciation rules before planning a 10 year route. |
| 6 | 🇳🇿 New Zealand | Normally allowed | 5 years | Second citizenship is normally allowed; standard naturalisation is typically 5 years. |
| 7 | 🇸🇬 Singapore | Restricted | 4 years | Second citizenship is restricted or conditional; check renunciation rules before planning a 4 year route. |
| 8 | 🇰🇷 South Korea | Restricted | 5 years | Second citizenship is restricted or conditional; check renunciation rules before planning a 5 year route. |
| 9 | 🇹🇼 Taiwan | Restricted | 5 years | Second citizenship is restricted or conditional; check renunciation rules before planning a 5 year route. |
| 10 | 🇹🇠Thailand | Normally allowed | 5 years | Second citizenship is normally allowed; standard naturalisation is typically 5 years. |
Sources behind this table
Citizenship and naturalisation fields are compiled from national immigration and citizenship rules. They are shown for relocation planning only and are not included in the Global Safety score.
Definitions used in this report
The index uses health-policy and economics terms that are often used inconsistently. These definitions explain how WeCovr uses each term on this page.
Bismarck system
A social-insurance model funded mainly through mandatory insurance contributions. Residents are usually covered through statutory sickness funds or tightly regulated insurers. Germany, France, Belgium, Japan, and the Netherlands are typical examples.
Beveridge system
A tax-funded public health system where government is the main funder and often the main provider. The NHS is the best-known example. These systems can be financially protective, but capacity limits can create waits.
Single-payer system
A system where one public payer covers core medically necessary care, while providers may remain public or private. Canada is a common example.
Mixed public-private system
A system where public coverage, private insurance, and direct payment all play meaningful roles. Outcomes depend heavily on eligibility, insurance status, and ability to pay.
UHC
Universal health coverage. In this report, it means the country has broad resident coverage for essential healthcare. It does not mean every treatment is free, immediate, or equally accessible.
Private cover required
Private medical insurance is legally required, structurally mandatory, or practically necessary for many residents or expats. Even where optional, it is highly recommended for faster access and specialized protection.
Wait band
A plain-English access-speed category. It combines the available evidence on primary, specialist, diagnostic, and elective-care delays. It is not a promise for a specific hospital or procedure.
Healthy years
Healthy life expectancy indicator used here as a resilience proxy. It estimates years lived in good health, not just total life expectancy.
HDI
Human Development Index. A UNDP measure combining health, education, and income. It helps distinguish human prosperity from raw GDP.
GNI Atlas method
Gross National Income adjusted using the World Bank Atlas method. It is useful where GDP is inflated by multinational profit flows, such as Ireland and Luxembourg.
Household Cost Exposure
Out-of-pocket healthcare risk. It estimates how much direct healthcare cost can hit households after public systems, insurance, or subsidies are accounted for.
Avoidable mortality
Deaths per 100,000 that should be preventable or treatable through effective public health, prevention, early diagnosis, and timely medical care. Lower values are better.
Intentional homicide rate
Intentional homicides per 100,000 people. This report uses the available 2017-2022 average because it is more stable than a single-year reading and more consistently reported internationally than many other crime categories.
Air quality score
A normalized 0-100 score using ambient air-quality data, especially PM2.5 exposure. Higher values indicate lower air-pollution pressure at country level.
Climate-risk score
A normalized 0-100 country-level score for climate exposure and adaptation capacity. Higher values indicate lower climate pressure or stronger resilience.
Environment score
The simple average of the air quality score and climate-risk score. It is a national-level indicator, not a promise of conditions in a specific city, postcode, or property.
About the WeCovr Global Safety Index 2026
The WeCovr Global Safety Index 2026 compares how national wealth translates into practical resident safety. The ranking combines healthcare access, avoidable mortality, direct household health-cost exposure, crime safety, and environmental pressure.
Data may be cited with credit to the WeCovr Intelligence 2026 Global Safety Index. The working spreadsheet with raw values, normalised scores, source notes, and country-level assumptions is available on request.
Sources
The table lists the institutions and datasets behind the WeCovr Global Safety Index. Years vary where the latest official release differs by country or indicator.
| # | Source | What it informs | Notes |
|---|---|---|---|
| 1 | IMF World Economic Outlook, April 2026 | GDP per capita, purchasing power parity, and forward-looking macroeconomic context. | Economic context only; GDP is not treated as a standalone proxy for protection. |
| 2 | World Bank GNI Atlas Method | Prosperity correction for countries where GDP is distorted by multinational profit flows. | Used to reduce paper-wealth distortion in countries such as Ireland, Luxembourg, and Singapore. |
| 3 | UNDP Human Development Report 2025 | Human Development Index, life expectancy, and healthy life expectancy indicators. | Statistical Annex Table 1 is used for HDI and healthy-life-expectancy inputs. |
| 4 | OECD Health at a Glance 2025 | Avoidable mortality, waiting times, and financial-hardship benchmarks. | Avoidable mortality combines preventable and treatable mortality; Colombia's 419 per 100,000 value is an example from the OECD tables. |
| 5 | WHO Global Health Observatory | Universal Health Coverage status, healthy-life-expectancy context, and health-system indicators. | Used alongside OECD and national sources for health-system classification. |
| 6 | WHO National Health Accounts 2024 | Current Health Expenditure per capita and out-of-pocket expenditure indicators. | Used to measure direct household exposure to healthcare costs. |
| 7 | WHO / World Bank Financial Protection Database | Out-of-pocket risk and catastrophic health-spend incidence. | Supports the Wallet Shield layer and the out-of-pocket risk evidence table. |
| 8 | World Bank / UNODC series VC.IHR.PSRC.P5 | Average intentional homicide rate per 100,000 people and crime-safety comparison. | Uses available 2017-2022 observations to reduce the effect of exceptional single-year spikes. |
| 9 | Global Peace Index 2025 | Qualitative safety overlay for civil security and regional stability. | Provides broader context for regional stability narratives but is not a direct input into the quantitative Safety Score. |
| 10 | WHO Ambient Air Quality Database V6.1, 2024 | PM2.5 concentration context and air-quality score normalisation. | Supports pollution-related country comparisons in the Planet Shield layer. |
| 11 | Germanwatch Global Climate Risk Index 2026 | Extreme-weather vulnerability and national climate-risk context. | Covers broad national exposure; local property-level risk still needs separate assessment. |
| 12 | National immigration and citizenship rules | Typical non-marriage naturalisation periods and dual-citizenship planning context. | Relevant for relocation planning but separate from health-system performance. |
Methodology
Safety in this report means systemic resilience: the capacity of a nation to reduce ordinary health shocks, household financial shocks, physical harm, and long-term environmental pressure for residents. It does not mean military power or geopolitical ranking.
Multi-layer verification model
The index pulls from primary institutional databases and cross-checks them against regional health, safety, and environmental reports. This separates what a country has on paper from how much protection a resident is likely to experience in practice.
Global Economic & Prosperity Layer
IMF WEO, World Bank GNI Atlas Method, and UNDP HDR inputs distinguish national wealth from resident welfare.
Body Shield: Health & Access
OECD Health at a Glance, WHO GHO, and WHO National Health Accounts support avoidable mortality, wait-time, UHC, and expenditure comparisons.
Wallet & Life Shields: Finance & Safety
WHO/World Bank financial-protection data, World Bank/UNODC homicide series, and Global Peace Index context support household-risk and safety comparisons.
Planet Shield: Environmental Resilience
WHO ambient air-quality data and Germanwatch climate-risk context support air-quality and climate-pressure comparisons.
Gross Protection formula
The published score is a weighted geometric mean of four shields. Tax burden is not an active weight; the ranking focuses on the strength of the safety available to residents rather than how the state funds it.
This is a gross-protection model. A country can rank highly only when its health, safety, finance, and environment scores work together.
Body Shield: Health (35%)
Avoidable mortality, survival outcomes, care access speed, and healthy life expectancy.
Life Shield: Safety (30%)
Multi-year intentional homicide averages from the World Bank / UNODC.
Wallet Shield: Finance (20%)
Out-of-pocket risk, catastrophic health-spend exposure, and GNI-adjusted prosperity.
Planet Shield: Planet (15%)
PM2.5 air-quality context, climate-risk exposure, and adaptation capacity.
Mathematical normalisation
Raw values are converted to a common 0-100 scale before weighting. This keeps unlike measures, such as mortality rates, homicide rates, PM2.5 exposure, and out-of-pocket spending, comparable inside one index.
For risk indicators where lower is better, such as avoidable mortality or homicide, the normalised scale is reversed so a lower raw risk becomes a higher protection score.
Where a country is missing a sourced homicide average, the Safety pillar uses the panel median as a neutral placeholder and the row remains provisional until the missing source is added.
Settlement friction is not part of the score
Citizenship and naturalisation rules are shown separately because they describe how difficult it is to join a country, not how well the country protects residents day to day. The relocation table therefore treats dual-citizenship treatment and naturalisation years as an integration-friction badge rather than a resilience score component.
Regional interpretation
The Americas protection gap
The United States, Mexico, Colombia, Brazil, Peru, and parts of Central America show how economic opportunity can coexist with weaker life-safety or health-access protection.
The Nordic protection cluster
Iceland, Norway, Finland, Sweden, and Denmark combine high public coverage with low direct health-cost exposure, though waiting-time pressure still varies by system.
The Gulf efficiency trade-off
Qatar, the UAE, and Saudi Arabia offer fast insured access and major hospital investment, while environmental heat, dust, and coverage rules remain important planning factors.
2026 methodological note
National savings rates are excluded because they can overstate resilience in rentier states. Ireland and Luxembourg use GNI Atlas method adjustments to reduce multinational profit distortion.