Pine Property Services: Loss run report
Loss run report for Pine Property Services. The policy-year loss run: 3 claims with a total row. Paid 17,890.00, reserved 2,760.00, incurred 20,650.00 USD against an earned premium of 3,344.66 USD at the 2026-09-08 snapshot, a loss ratio of 617.4 percent. Earned premium is the 7,630.00 USD subtotal, excluding fees and tax, for the 160 days of the 365 day policy period that have elapsed.
csv
text/csv
- Document Set
- insurance
- Industry
- trades-property
- Source Kit
- trades-property
- Entity
- Pine Property Services
- Synthetic
- true
- As Of
- 2026-09-08
Binary csv: no in-browser preview. Download it above to open in a compatible application.
Specifications
- Document Set
- insurance
- Industry
- trades-property
- Source Kit
- trades-property
- Entity
- Pine Property Services
- Synthetic
- true
- As Of
- 2026-09-08
- Rows
- 4
- Claims
- 3
- Incurred Total
- 20650.00
- Earned Premium
- 3344.66
- Loss Ratio Percent
- 617.4
- Earned Basis
- subtotal excluding fees and tax, 160 of 365 days
Testing contract
Expected to pass- Scenario
- Check the total row against the three claim rows, then recompute the loss ratio from incurred and earned premium.
- Expected result
- The three claim rows sum to the printed total of 20650.00, and 20650.00 divided by 3344.66 is 617.4 percent. A reader that uses written rather than earned premium gets a different and smaller ratio, which is why the basis is stated.
What is a .csv file?
CSV (Comma-Separated Values) is a plain-text tabular format where rows are lines and fields are separated by commas, with quoting rules for values that contain delimiters, quotes, or newlines. It has no formal type system and depends on encoding and dialect conventions. It is the most portable format for tabular data exchange.
How to use this file
Use an example CSV to test parsers against quoting and embedded-delimiter edge cases, header handling, encoding detection, and import pipelines into databases or spreadsheets.
How to use this file for testing
“Pine Property Services: Loss run report” is a deterministic Novus Examples fixture for Data import, CSV parsing. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.
Documented properties for this file: 4 rows. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.
Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such, expect parsers to fail loudly rather than silently accept them.
Data fixtures document their exact quirks (delimiters, encodings, null handling, schema, and row counts) in the spec table. Point your parser or importer at the file and assert it handles the documented edge cases; clean and deliberately-messy siblings make before/after diffs straightforward.
Code examples
import pandas as pd
df = pd.read_csv("loss-run-report.csv")
print(df.head())
print(df.dtypes)Related files
- csvPine Property Services: Broker account statementBroker account statement for Pine Property Services. The broker side of the same premium: 7,630.00 USD of written premium, 12.5 percent commission of 953.75 USD, and 7,062.33 USD remitted to the insurer out of the 8,016.08 USD collected. Commission is charged on the subtotal only, not on the fees or the tax, which is why line 2 is not a percentage of line 5.
- csvPine Property Services: Certificate holder registerCertificate holder register for Pine Property Services. The 6 parties who require a certificate, each naming the endorsement that makes them an additional insured and the endorsement that waives subrogation. Every holder appears exactly once in certificate-of-insurance-register.csv.
- csvPine Property Services: Certificate of insurance registerCertificate of insurance register for Pine Property Services. 6 certificates, one per scheduled property, all issued 2026-09-08 against policy POL-2026-GL-0001 and all expiring 2027-03-31. days_until_expiry is 204 on every row, which is policy_end minus issue_date, and every row is positive because every certificate was issued while its cover was live.
- csvPine Property Services: Certificate register with a certificate that expired before it was issuedCertificate register with a certificate that expired before it was issued for Pine Property Services. The same 6 valid rows with a seventh added: COI-2026-0007 is issued 2026-09-08 against a policy period that ended 2026-03-31, 161 days earlier, and its days_until_expiry cell reads -161. The row is internally consistent, so the arithmetic check passes and only the business rule that a certificate cannot be issued after its cover ends catches it. Its status still says in force.
- csvPine Property Services: Claim settlement linesClaim settlement lines for Pine Property Services. The same seven lines as the settlement statement with the sign held in its own column rather than embedded in the amount, so amounts are all positive and a reader has to apply the sign to reproduce the running balance. Applying the signs in order reproduces every running value and ends at 17400.00.
- csvPine Property Services: Coverage limitsCoverage limits for Pine Property Services. 6 coverage lines. Three of them carry an empty premium_usd because they are sub-limits of the general liability premium rather than separately rated, and the four rows that do carry a premium sum to the 7,040.00 USD base premium on the policy schedule.
Generated by generation/industry_documents_two.py. Free for any use, no attribution required, license.