Policy Term Length and Renewal Timing

This dataset provides detailed information on insurance policy terms, renewal schedules, and expiration patterns, mapped by month and quarter. It enables precise cash flow forecasting, resource allocation, and renewal cycle management by offering granular insights into premium values, policy durations, and customer associations.

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

Cash flow forecasting based on upcoming policy expirations and renewals

Sample rows

preview · 8 of 500 rows · all 12 columns
policy_idstringpolicy_typestringterm_length_monthsintegercurrencystringpolicy_start_datedatepolicy_expiration_datedaterenewal_datedaterenewal_statusstringexpiration_monthintegerexpiration_quarterintegerpremium_amountfloatcustomer_idstring
P-000001auto12USD2018-04-242019-04-242019-04-25renewed421350.5C-10001
P-000002home240EUR1998-07-022018-07-02blankexpired73145000C-10002
P-000003travel2USD2022-10-152022-12-15blankcancelled12442.3C-10003
P-000004life180JPY2010-01-012025-01-01blankpending1198000.75C-10004
P-000005pet18GBP2017-03-132018-09-132018-09-14renewed93600C-10005
P-000006auto24USD2016-11-062018-11-062018-11-07renewed1141750.1C-10006
P-000007health3CAD2021-06-012021-09-01blankcancelled9389.99C-10007
P-000008renter36USD2015-05-102018-05-10blankexpired521350C-10008

What the 500 rows show

from the 500-row sample

Life (policy type) stands out: mean term_length_months is 236.8, against 50.3 for the rest.

  • 24median term_length_months
  • 4renewal statuses
  • 6median expiration_month
  • 2median expiration_quarter
  • 1,350median premium_amount
Mean term_length_months by policy_type500 rows
02004009.7auto98 ro…212.2home79 ro…27.7pet69 ro…236.8life68 ro…3.5heal…64 ro…27.8rent…64 ro…1.8trav…58 ro…
term_length_months500 rows, in bands of 50
0180360353032414004300200400term_length_months →

Median 24, from 1 to 360.

currency500 rows · 6 values
  1. USD296
  2. EUR69
  3. CAD44
  4. GBP40
  5. JPY30
  6. AUD21
12 columns by typefrom the column list below
  • string 5
  • integer 3
  • float 1
  • date 3

Columns

12 columns in three groups
blueprint · 12 columns
columntypedescriptionexample
Text 5 columns
policy_idstringUnique identifier for each insurance policyuniqueP-000001
policy_typestringType or category of the insurance policy (e.g., auto, home, life)7 typesauto
renewal_statusstringIndicates if the policy is renewed, pending, expired, or cancelledrenewed · pending · expired · cancelledrenewed
currencystringCurrency code for the premium amount (e.g., USD, EUR)6 currenciesUSD
customer_idstringUnique identifier for the customer holding the policyC-10001
Numbers 4 columns
term_length_monthsintegerLength of the policy term in months1 or more12
expiration_monthintegerNumeric month (1-12) in which the policy expires1 to 124
expiration_quarterintegerQuarter (1-4) in which the policy expires1 to 42
premium_amountfloatTotal premium amount for the policy term0 or more1350.5
Dates and times 3 columns
policy_start_datedateDate when the policy term begins2018-04-24
policy_expiration_datedateDate when the policy term expires2019-04-24
renewal_datedateScheduled date for policy renewaloptional2019-04-25

Use it for

  • median term le…24500 rowsmean term length mont…9.7auto212.2home27.7pet236.8life

    An insurance dashboard

    Term_length_months by policy_type and a breakdown of currency. Excel, Power BI or Tableau.

  • Why do the 68 life rows have a mean term_length_months of 236.8?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable policies with policy_type, term_length_months and policy_start_date to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 12 columns, your size and your rules. See 20 rows before you pay.

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This dataset500 rows12 columns
Yours1,000 rows12 columns

blueprint · policy-term-length-and-renewal-timing

Behind this dataset

Same schema. As many rows as you need.

These 500 rows came out of a blueprint — 12 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
  • Policy term: 6-month, 12-month, 24-month, 36-month
  • Effective date distribution by month
  • Expiration date distribution
  • Renewal concentration by quarter
  • January 1 renewals for commercial
  • Seasonality of new business
  • Cash flow timing
  • Underwriting workload planning
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
policy-term-length-and-renewal-timing

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