Lifespan measurements, also called survival records, are a key phenotype in research on ageing. If external hazards are excluded, ageing alone determines the mortality in a population of model organisms. Understanding the biology of ageing is highly desirable because of the benefits for the wide range of ageing-related diseases. However, it is also extremely challenging because of the underlying complexity. Here, we describe SurvCurv, a new database and online resource focused on model organisms collating survival data for storage and analysis. All data in SurvCurv are manually curated and annotated. The database, available at (www.ebi.ac.uk/thornton-srv/databases/SurvCurv/) offers various functions including plotting, Cox proportional hazards analysis, mathematical mortality models, and statistical tests. It facilitates reanalysis, allows users to analyse their own data and compare it with the largest repository of model-organism data from published experiments, thus, unlocking the potential of survival data and demographics in model organisms. This article is protected by copyright. All rights reserved.