How Insurance Markets Differ Across Countries

When severe storms hit the Charlotte region and Mexico in July 2026 — two of the top-trending topics on Google Trends — the difference in financial resilience across countries became a live experiment. In the United States, the insurance sector accounts for 19.3% of all service exports. In Mexico, it is 10.0%. In Jamaica, it is 0.3%. These differences reflect not just the size of insurance markets, but the fundamental structure of financial systems worldwide. This guide explains how insurance markets work, what the statistics measure, and why they matter for financial resilience.

For the state of financial inclusion globally, see our report on the state of financial inclusion 2026. For our analysis of financial infrastructure in disaster-prone economies, see financial infrastructure in storm-prone economies 2026.

What the insurance trade statistic actually measures

The most commonly cited cross-country insurance statistic on FinStatGlobe is insurance and financial services as a share of total service exports, sourced from the World Bank’s World Development Indicators (code BX.GSR.INSF.ZS). It captures:

Insurance premiums earned from non-residents (reinsurance, primary insurance on cross-border risks)
Reinsurance services paid to or received from overseas insurers
Financial intermediation services such as fund management, banking fees, and securities dealing
Auxiliary financial services like advisory and custody services

This is a composition measure — it tells you what share of a country’s service exports is financial. A high share means finance dominates the services the country sells, not that the country sells a large absolute amount of insurance.

For the top exporting countries, see our article on who exports financial services. For our full ranking of 176 economies, see the insurance and financial services trade report.

The global insurance landscape

Across the 176 economies with data, the spread is enormous. At the top, countries like Libya (94.1% of service exports, 2023) and Luxembourg (59.8%, 2024) have financial services dominating their services trade. At the bottom, many developing economies show near-zero figures — not because they lack insurance altogether, but because their service exports are dominated by tourism, transport, and other non-financial services.

Between these extremes, the statistic reveals three broad patterns:

Financial hub economies. Luxembourg (59.8%), Cayman Islands (55.2%), Hong Kong (26.9%), and Singapore (15.0%) are specialised financial centres where a large share of economic activity — and service exports — is financial. Their high figures reflect the structural role of finance in their economies.

Large diversified economies. The United Kingdom (24.2%, 2024), United States (19.3%, 2024), and Switzerland (20.4%, 2024) have large, diversified services sectors where finance is a significant — but not dominant — component. The US figure of 19.3% is large in absolute dollar terms (given the world’s biggest economy) even if the share is eclipsed by Luxembourg’s.

Developing economies with small financial sectors. Jamaica (0.3%), Philippines (1.0%), and Bangladesh (2.6%) have minimal insurance trade. Their service exports are heavily weighted toward tourism, business process outsourcing, or transport. This does not mean they have no domestic insurance market — only that the cross-border insurance trade is small relative to other service exports.

For context on how this relates to account ownership, see our article on banks vs. mobile money account ownership.

Insurance and disaster resilience

The July 2026 storms connect directly to a key question: when disaster strikes, how well can households and businesses rely on insurance?

The insurance trade statistic does not directly measure domestic insurance penetration (how many households have policies). But it correlates with the overall development of a country’s financial sector. Countries with robust insurance sectors — like the US, UK, and Japan — also tend to have higher rates of property and casualty insurance coverage. Countries where insurance trade is minimal — like Jamaica, the Philippines, and Bangladesh — also tend to have very low insurance penetration among households.

This creates a protection gap: in the developing countries most vulnerable to natural disasters, the least insurance coverage exists. According to the World Bank, less than 5% of disaster losses in low-income countries are typically insured, compared to roughly 50% in high-income countries.

For the relationship between financial inclusion and mobile money, see our explainer on how mobile wages drive financial inclusion.

The insurance trade statistic is frequently confused with other insurance measures:

Insurance penetration (total premiums as a share of GDP) measures the size of the domestic insurance market relative to the economy. The trade statistic only captures cross-border flows. A country could have a large domestic insurance market but little cross-border trade.

Non-life insurance density (premiums per capita) measures how much the average person spends on property, casualty, and health insurance. This is a better proxy for household-level disaster resilience than the trade statistic.

Remittance costs (the fee to send money home) measure an entirely different financial flow — one that becomes critical after disasters when diaspora communities send funds to affected families. See our analysis of remittance corridors and costs 2026 and where remittances matter most.

What the index cannot tell you

Three key limitations apply when interpreting insurance trade data:

First, it is a share, not a level. A country with a tiny overall service export base can post a high insurance share because there is little else in the denominator. Libya’s 94.1% does not mean Libya has the world’s most developed insurance sector — it means insurance is almost the only service Libya exports.

Second, it does not measure domestic coverage. The data captures cross-border insurance and financial services trade, not how many households in the country have home insurance, health insurance, or life insurance. A country with a low trade share may still have a well-developed domestic insurance market.

Third, data quality varies. Balance-of-payments data for insurance services relies on central bank surveys, which are more comprehensive in advanced economies. Some developing economies may undercount cross-border insurance flows.

For how to read financial statistics responsibly, see our guide on reading fintech statistics responsibly.

What 2026 looks like

The insurance trade data shown here comes from 2023–2024 — the most recent year available for each country. Because this is a balance-of-payments flow measure, projecting it to 2026 is not defensible (it depends on volatile commodity prices, tourism flows, and exchange rates that cannot be reliably forecast). Where alternative projections exist — such as for mobile money adoption or internet penetration — these are clearly labeled.

For projections of the digital infrastructure that underpins modern insurance distribution, see our article on internet adoption as a fintech foundation.

Sources & method

Insurance and financial services trade data comes from the World Bank World Development Indicators (indicator code BX.GSR.INSF.ZS), derived from IMF Balance of Payments statistics. The measure covers insurance and financial services as a percentage of total commercial service exports. Financial inclusion data comes from the World Bank Global Findex database. Bank infrastructure data comes from the IMF Financial Access Survey.

All figures are observed values from their cited data years. No projections are applied to trade-flow metrics. See our methodology page for full details on data sources, processing, and limitations.