Original research · August 2026
We ran the full distribution across 4,638,321 verified $100k+ household income consumer records — every state, every age band. Here's what the data actually looks like, and which insurance verticals it fits. The aggregate dataset is free to download and cite.
| Records analyzed | 4,638,321 |
| States + DC covered | 51 |
| Median age | 38 |
| Share aged 26–45 | 66.4% |
| Income qualification | Verified $100k+ household income |
The single most useful thing in this dataset is the age curve, because age is what decides which product an agent should be leading with. This file is not evenly spread — it concentrates hard in the working-age middle.
| Age band | Records | Share |
|---|---|---|
| 18-25 | 212,820 | 4.6% |
| 26-35 | 1,763,938 | 38.0% |
| 36-45 | 1,317,999 | 28.4% |
| 46-55 | 1,043,977 | 22.5% |
| 56-64 | 299,587 | 6.5% |
66.4% of the file sits between 26 and 45. That is the household-formation window — first mortgage, first kid, first time anyone has seriously thought about life insurance — and it is why this data performs for term life, mortgage protection, and ACA health rather than for final expense.
The other side of that curve matters just as much: only 6.5% of records fall in the 56–64 band, and there are no records at 65 or older at all. If you sell Medicare or final expense, this is the wrong dataset and we would rather say so here than take the order.
Volume follows population, but not perfectly — the $100k+ income qualification pulls the distribution toward states with higher-earning metro areas. The last column is each state's share of records in the 56–64 band, which is where mortgage protection and pre-Medicare conversations live.
| # | State | Records | Share of file | Aged 56–64 |
|---|---|---|---|---|
| 1 | CA | 524,335 | 11.3% | 8.4% |
| 2 | TX | 376,313 | 8.1% | 5.7% |
| 3 | NY | 309,673 | 6.7% | 7.6% |
| 4 | FL | 296,241 | 6.4% | 6.6% |
| 5 | IL | 200,534 | 4.3% | 6.4% |
| 6 | OH | 192,889 | 4.2% | 5.3% |
| 7 | PA | 186,825 | 4.0% | 5.9% |
| 8 | NJ | 180,686 | 3.9% | 7.8% |
| 9 | MI | 166,430 | 3.6% | 5.1% |
| 10 | VA | 142,184 | 3.1% | 8.3% |
| 11 | NC | 142,107 | 3.1% | 6.5% |
| 12 | MA | 138,091 | 3.0% | 8.2% |
| 13 | GA | 137,866 | 3.0% | 6.1% |
| 14 | MD | 116,099 | 2.5% | 8.1% |
| 15 | CO | 103,227 | 2.2% | 6.3% |
| 16 | MN | 99,175 | 2.1% | 5.5% |
| 17 | WA | 94,856 | 2.0% | 6.1% |
| 18 | IN | 87,321 | 1.9% | 4.7% |
| 19 | WI | 87,134 | 1.9% | 6.8% |
| 20 | CT | 81,536 | 1.8% | 7.5% |
Full 51-state breakdown, including all five age bands per state, is in the free CSV.
Figures were computed across the complete Link Leads master file as of August 2026 — 4,638,321 records carrying a usable state and age. Records are deduplicated by phone number before analysis. Age bands are inclusive on both ends. Percentages are of the analyzed total, not of the US population, and no weighting or projection has been applied — these are raw counts of records held.
These are aged data leads: name, state, ZIP, mobile number, and age, sourced within 30–90 days, qualified at the source for $100k+ household income. They are not consented insurance-form leads, no TCPA express written consent is claimed, and they are not DNC-scrubbed. We publish that in the methodology for the same reason we publish it on every other page — a data report that overstates what the data is would not be worth citing.
The aggregate dataset — 51 states by five age bands — is free to download and free to republish with attribution. No email required, no form.
Cite as: Link Leads, The 2026 Aged Insurance Lead Data Report, August 2026. https://www.link-leads.com/insurance-lead-data-report-2026
If you want the underlying records rather than the aggregates, you can filter by state and age band and buy them at $0.015 each in the order builder — see pricing and monthly plans, or pull a free 100-row sample first. Journalists and researchers who want a cut of this data for a story can email cslinkleads@gmail.com.