International and Cross-Border Exposure

This dataset provides comprehensive records of international and cross-border insurance exposures, detailing policy information, foreign operations, admitted and non-admitted placements, currency risks, and regulatory compliance by country. It enables insurers, brokers, and risk managers to analyze global insurance portfolios, monitor regulatory status, and assess currency and operational risks across jurisdictions.

  • last updated 2 Nov 2025
  • by GoMask
The brief that made it

Global insurance portfolio analysis and risk aggregation

Sample rows

preview · 8 of 400 rows · all 18 columns
exposure_idstringplacement_typestringexposure_amountfloatoperation_typestringpolicy_idstringinsured_entity_namestringcountry_of_exposurestringpolicy_currencystringlocal_currencystringexchange_rate_to_policy_currencyfloatregulatory_compliance_statusstringeffective_datedateexpiry_datedatebroker_namestringinsurer_namestringpolicy_typestringregulatory_notesstringcoverage_descriptionstring
EXP0001admitted1324450.17subsidiaryPOL10001Alpha Manufacturing Ltd.GermanyEUREUR1compliant2022-03-012023-03-01Munich Re Global BrokersMunich RepropertyblankCoverage for buildings, machinery, and fixed assets at German subsidiary.
EXP0002admitted1083000.5subsidiaryPOL10001Alpha Manufacturing Ltd.United KingdomGBPGBP1pending2023-06-152024-06-15Lloyd's Brokers UKLloyd's LondonpropertyAwaiting regulatory approval for new warehouse site.Property insurance for UK office and warehousing infrastructure.
EXP0003admitted2275000subsidiaryPOL10002Beta Foods GroupSouth AfricaZARZAR1compliant2022-09-012023-09-01Santam BrokersSantam InsurancepropertyblankProtection for processing plants, storage, and retail outlets in South Africa.
EXP0004non-admitted750000.75branchPOL10003Gamma Tech Solutions Inc.United StatesUSDUSD1pending2023-01-202024-01-20Marsh USAAIGliabilityAwaiting surplus lines approval for expansion.General liability for sales and service operations in California.
EXP0005non-admitted320000branchPOL10004Delta Logistics LLCSingaporeUSDSGD1.36non-compliant2022-11-102023-11-10blankZurich InsuranceliabilityBranch operation in Singapore not fully adhering to local insurance requirements.Professional liability for regional logistics and transportation office.
EXP0006admitted2550000subsidiaryPOL10005Epsilon Energy Corp.AustraliaAUDAUD1compliant2022-05-012023-05-01Willis AustraliaQBE InsurancepropertyblankCoverage for oil and gas facilities and equipment across Western Australia.
EXP0007non-admitted620000branchPOL10006Zeta Trading Co.BrazilUSDBRL5.14pending2023-03-012024-03-01Bradesco BrokersChubbliabilityBranch liability coverage pending local regulatory approval.General liability for distribution center and sales operations.
EXP0008admitted21000000joint venturePOL10007Omega Aerospace GroupNew ZealandNZDNZD1compliant2022-07-012025-07-01Aon New ZealandAonpropertyblankMega-project insurance for aerospace manufacturing and research facility.

What the 400 rows show

from the 400-row sample
  • 927,500median exposure_amount
  • 3policy types
  • 4regulatory compliance statuses
  • 59policy currencies
  • 64local currencies
  • 81country of exposures
placement_type400 rows by value
0125250244admitted61%156non-admitted39%
exposure_amount400 rows, in bands of 25M
0195390389622000010125M225Mexposure_amount →

Median 927,500, from 22.0 to 215,000,000.

operation_type400 rows · 5 values
  1. subsidiary164
  2. branch124
  3. joint venture71
  4. representative office29
  5. other12
18 columns by typefrom the column list below
  • string 14
  • float 2
  • date 2

Columns

18 columns in three groups
blueprint · 18 columns
columntypedescriptionexample
Text 14 columns
exposure_idstringUnique identifier for each insurance exposure recorduniqueEXP0001
policy_idstringUnique identifier for the insurance policy related to the exposurePOL10001
insured_entity_namestringName of the insured company or individualAlpha Manufacturing Ltd.
country_of_exposurestringCountry where the insurance exposure occursGermany
operation_typestringType of foreign operation (e.g., subsidiary, branch, joint venture)5 values · optionalsubsidiary
placement_typestringIndicates if the placement is admitted or non-admittedadmitted · non-admittedadmitted
policy_currencystringCurrency code in which the policy is issued (ISO 4217 format)EUR
local_currencystringCurrency code used in the country of exposure (ISO 4217 format)EUR
regulatory_compliance_statusstringStatus of compliance with local insurance regulationscompliant · non-compliant · pending · unknowncompliant
regulatory_notesstringAdditional notes regarding regulatory compliance for the exposureoptionalLicense review underway.
broker_namestringName of the insurance broker handling the placementoptionalMunich Re Global Brokers
insurer_namestringName of the insurer providing the coverageMunich Re
policy_typestringType of insurance policy (e.g., property, liability, marine)3 typesproperty
coverage_descriptionstringDetailed description of coverage provided under the policyoptionalCoverage for buildings, m…
Numbers 2 columns
exposure_amountfloatMonetary value of the exposure in the policy currency0 or more1324450.17
exchange_rate_to_policy_currencyfloatExchange rate from local currency to policy currency at the time of exposure0 or more · optional1
Dates and times 2 columns
effective_datedateDate when the insurance exposure becomes effective2022-03-01
expiry_datedateDate when the insurance exposure expires2023-03-01

Use it for

  • median exposur…927,500400 rowsmean exposure amount …5.5Madmitt…681.1knon-ad…

    An insurance dashboard

    Exposure_amount by placement_type and a breakdown of operation_type. Excel, Power BI or Tableau.

  • What pattern can you find in 400 rows?

    A class exercise

    Hand out the rows and one question. Everyone works from the same 400 rows.

  • A software demo

    Believable exposures with policy_id, insured_entity_name and country_of_exposure to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 18 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset400 rows18 columns
Yours1,000 rows18 columnscountry_of_exposure: UK only

blueprint · international-and-cross-border-exposure

Behind this dataset

Same schema. As many rows as you need.

These 400 rows came out of a blueprint — 18 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Country of risk
  • Admitted vs non-admitted status by country
  • Currency of policy (USD, EUR, GBP, etc.)
  • Foreign exchange exposure
  • Local regulatory requirements
  • Fronting arrangements
  • Master policy with local certificates
  • Difference in conditions (DIC) coverage
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
international-and-cross-border-exposure

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