US pet food total market salesUS pet insurance policies in force
We have discovered that Americans spend more money on food for animals that cannot spend money in almost perfect synchronisation with their willingness to insure those same animals against the basic indignity of existing. This is not a metaphor. Over twenty-one years, pet food sales and pet insurance policies moved together like two dancers who had never met but somehow knew all the same steps. One suspects the universe finds this hilarious.
The truth is probably less mysterious and more thoroughly American: as incomes rose and fell with economic cycles between 2002 and 2022, pet ownership itself became less a luxury and more a household baseline, much like smartphones did in the same period. Both pet food spending and insurance adoption would naturally track this rising pet population, which itself tracks disposable income, which tracks everything else in consumer economics. Consider that pet food sales grew from roughly $15 billion to $35 billion—a physical weight of kibble that, if stacked, would reach from here to profound confusion about why we're measuring kibble in the first place—while insurance policies climbed from near zero to several million active policies, driven by the same cultural moment that made us collectively anxious enough to insure our anxiety machines with legs.
What we are really looking at is two different expressions of the same human decision to treat pets as family members worthy of financial protection, which is either lovely or mildly unhinged depending on your willingness to anthropomorphise a golden retriever. The correlation tells us nothing about causation and everything about how thoroughly our spending habits cluster around the same invisible economic currents. We remain pattern-seeking creatures swimming in data, seeing conspiracy where there is only time.
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Want to learn more about why correlations like “US pet food total market sales” vs “US pet insurance policies in force” don't prove causation? Read our guide to statistical thinking.