Insurance Interests in Meta Ads: U.S. Audience Sizes by Age and Gender (2026)
Contents
- Introduction
- Baseline: U.S. Meta Universe
- Insurance interest categories
- Insurance brands and providers
- Related Content
Introduction
This report summarizes U.S. insurance related interest audiences available for targeting in Meta Ads (Facebook and Instagram), split by age and gender. The data was collected via the Meta Marketing API using the lower bound of the available audience forecast within each interest segment, with no placement restrictions inside Facebook and Instagram, and without including Audience Network.
Audience estimates in Ads Manager may differ. Reach can change based on overlaps with other targeting layers, creative and delivery constraints, and selected placements.
Baseline: U.S. Meta Universe
The baseline “USA Meta Universe” represents the total addressable audience used as a comparison point for all segments below. The overall audience size is 252,200,000, with 132,300,000 female and 119,900,000 male.
USA Meta Universe (All Population)
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| All Population | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| USA Meta Universe (All Population) | 21,400,000 | 33,400,000 | 24,300,000 | 16,700,000 | 36,500,000 | 18,000,000 | 32,000,000 | 24,300,000 | 18,500,000 | 27,100,000 | 119,900,000 | 132,300,000 | 252,200,000 |
Insurance interest categories
Category level interests (life, vehicle, home, pet, travel, and related insurance topics) are typically the most scalable pools. They can work like broad prospecting segments, but intent depth varies widely inside each category. If lead quality matters, qualify early with creative and landing page context (for example, “compare quotes,” “switch policies,” “bundling,” or “family coverage” messaging) rather than relying on the interest alone.
Insurance Interests (Categories)
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| Insurance Interests (Categories) | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Life insurance (insurance) | 1,500,000 | 2,600,000 | 2,600,000 | 2,400,000 | 8,200,000 | 1,900,000 | 3,400,000 | 2,800,000 | 2,200,000 | 5,900,000 | 16,200,000 | 17,300,000 | 33,500,000 |
| Vehicle insurance (insurance) | 1,400,000 | 3,300,000 | 3,400,000 | 2,800,000 | 6,400,000 | 1,800,000 | 4,200,000 | 3,900,000 | 3,100,000 | 6,000,000 | 19,000,000 | 17,300,000 | 36,300,000 |
| Home insurance (insurance) | 953,600 | 1,700,000 | 1,800,000 | 1,800,000 | 4,700,000 | 1,300,000 | 2,300,000 | 2,000,000 | 1,600,000 | 3,500,000 | 10,700,000 | 10,953,600 | 21,653,600 |
| General insurance (insurance) | 810,400 | 933,400 | 666,700 | 504,300 | 1,100,000 | 1,100,000 | 1,400,000 | 816,100 | 556,000 | 873,400 | 4,745,500 | 4,014,800 | 8,760,300 |
| Pet insurance (insurance) | 595,500 | 758,800 | 565,200 | 522,300 | 1,700,000 | 773,000 | 840,600 | 412,900 | 324,300 | 858,800 | 3,209,600 | 4,141,800 | 7,351,400 |
| Travel insurance (insurance) | 397,700 | 476,100 | 368,000 | 343,500 | 826,000 | 699,100 | 860,000 | 472,000 | 356,600 | 650,000 | 3,037,700 | 2,411,300 | 5,449,000 |
| Property insurance (insurance) | 324,200 | 396,600 | 329,700 | 276,600 | 616,800 | 555,100 | 727,500 | 487,100 | 357,900 | 591,700 | 2,719,300 | 1,943,900 | 4,663,200 |
| Liability insurance (insurance) | 350,300 | 347,500 | 227,200 | 185,000 | 342,300 | 641,000 | 773,900 | 423,100 | 305,100 | 432,200 | 2,575,300 | 1,452,300 | 4,027,600 |
Insurance brands and providers
Provider level interests are smaller than category audiences, but they can add precision when you need a clearer context (for example, switching carriers, comparing plans, or eligibility messaging). In practice, these segments tend to be more sensitive to overlap and delivery constraints, so treat them as “qualifier layers” rather than the only source of scale.
Insurance Brands and Providers
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| Insurance Brands and Providers | female 18-24 | female 25-34 | female 35-44 | female 45-54 | female 55+ | male 18-24 | male 25-34 | male 35-44 | male 45-54 | male 55+ | Total Male | Total Female | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Prudential Financial (insurance) | 124,800 | 230,400 | 217,300 | 173,200 | 339,800 | 101,900 | 239,400 | 211,900 | 156,700 | 273,700 | 983,600 | 1,085,500 | 2,069,100 |
| Auto-Owners Insurance (insurance) | 13,400 | 103,500 | 142,400 | 135,300 | 396,800 | 27,500 | 189,000 | 243,700 | 207,400 | 423,200 | 1,090,800 | 791,400 | 1,882,200 |
| UnitedHealth Group (health insurance) | 49,800 | 276,000 | 359,600 | 363,900 | 2,100,000 | 41,700 | 259,600 | 361,900 | 308,300 | 1,200,000 | 2,171,500 | 3,149,300 | 5,320,800 |
| Allianz (insurance) | 464,400 | 435,900 | 256,900 | 172,400 | 219,500 | 612,100 | 710,500 | 345,200 | 208,700 | 233,300 | 2,109,800 | 1,549,100 | 3,658,900 |
| Cigna (health insurance) | 67,000 | 273,300 | 294,100 | 270,700 | 980,400 | 60,200 | 304,900 | 339,900 | 239,900 | 532,800 | 1,477,700 | 1,885,500 | 3,363,200 |
| Mapfre (insurance) | 73,800 | 116,700 | 78,900 | 50,600 | 54,200 | 96,400 | 163,700 | 89,300 | 52,600 | 49,100 | 451,100 | 374,200 | 825,300 |
| Zurich Insurance Group (insurance) | 34,200 | 97,400 | 94,800 | 69,800 | 96,400 | 50,700 | 167,200 | 125,200 | 87,800 | 110,200 | 541,100 | 392,600 | 933,700 |
| MetLife (insurance) | 3,800 | 33,500 | 52,000 | 60,200 | 223,100 | 3,300 | 32,300 | 51,300 | 46,900 | 151,300 | 285,100 | 372,600 | 657,700 |