Search the combined missing person registry
Search by national ID (cΓ©dula) or first + last name in the consolidated registry (missing-person reports and hospital data included). Results are leads for human verification, not a confirmation.
Please don't enter more data than necessary. The search creates and stores nothing new; it only queries the already-consolidated registry.
We are a technology company. The records shown here come from several public and partner registries (venezuelareporta.org, Desaparecidos Terremoto Venezuela, and buscatupaciente.com); we don't create them and they are not an official source, and they may be incomplete or inaccurate. Use them only as a lead and always verify with the official registries before acting:
Three registries,
one record per person
After the La Guaira earthquake, several independent efforts collect reports of missing people and lists of hospital patients. The same person is often reported many times β sometimes in more than one registry. Tilores combines these sources and deduplicates them into one record per real person β without losing any data β and leaves every decision in human hands.
We combined three independent registries β venezuelareporta.org, Desaparecidos Terremoto Venezuela, and buscatupaciente.com β with Tilores entity resolution. We publish the results free to organisations and families searching in Venezuela.
Three registries, combined and deduplicated
Latest entity-resolution run Β· 9 July 2026, 05:04 VET (11:04 CEST)
From three independent sources
After entity resolution (preliminary)
β24% of all records were duplicates
Sources: venezuelareporta.org (59,176 records), Desaparecidos Terremoto Venezuela (70,215), and buscatupaciente.com (11,440, hospital patient lists).
The distinct-people total is a preliminary estimate: with more aggressive matching rules, we haven't yet re-verified the over-merge rate.
Still missing, located, and yet to match
Only have "missing" reports
Found, safe, or matched to a hospital patient
A searchable pool for families still looking
"Still missing" counts open cases in the combined registry (people with only missing reports) β not confirmed casualties.
The same person in more than one registry
venezuelareporta.org and Desaparecidos Terremoto Venezuela are independent registries of the same people missing after the earthquake, so they overlap enormously. Entity resolution cross-links them into one record per person.
The same person recorded in more than one place
Appear in two of the sources
Appear in all three sources at once
Connecting missing-person reports with hospital patients
Hospital patient lists β buscatupaciente.com β plus Desaparecidos Terremoto Venezuela's hospital lists β are screened against the missing-persons registry by national ID (cΓ©dula) and name, to locate people who are alive and in care.
People connected to a hospital patient record (1,853 records linked)
Only have a "missing" report and appear as hospital patients
A "missing" report plus a "found / safe / hospital" record
Read this carefully. The 88 leads are candidates for human review, not confirmed reunifications. And 24,319 hospital patients remain unmatched: a searchable pool for families still looking.
In a crisis, duplicate reports cost time
When many people report at once β and across several different registries β duplicates are not a cosmetic problem. They inflate the apparent number of missing people, scatter one person's information across many reports, and bury the fact that matters most: that someone has already been found.
Someone comparing several lists by hand cannot reliably tell that "MarΓa C. GonzΓ‘lez" and "Maria Gonzalez" are the same person, or that a missing report already has a hospital patient waiting elsewhere in the data.
Entity resolution, in plain language
Entity resolution is the technology that recognises when several records refer to the same real person, even when the details are written differently. We combined the three sources β 140,831 records β and resolved them into distinct people. Matching is anchored on the national ID (cΓ©dula), plus name (with phonetic matching), age (within a Β±4-year window), and approximate location.
On a subject this sensitive, a false positive is worse than no match. So the configuration is deliberately cautious:
We combined 140,831 records from three sources. Entity resolution runs on the instance and refreshes incrementally: each update re-processes only new or changed reports.
The matching rules
Before anything is compared, every field is normalised: accents and capitals are removed, spacing is standardised, and connector words ("de", "la", "los"β¦) are stripped. Names also go through a Spanish phonetic normalisation β b/v, g/j, c/s/z, ll/y, silent h, qu/k β so spelling variants line up. The national ID is reduced to digits, and masked IDs (with β’ or *) are discarded.
Two reports are merged into the same person when they satisfy one of these rules:
Same cΓ©dula (digits only) and the first name agrees β the name check stops a typo in the ID from merging different people.
"V-12,345,678 Β· JosΓ© GonzΓ‘lez" + "12345678 Β· Jose Gonzalez" β same person
The reporter's phone or email matches + first and last name agree + age equal or empty; compound records are excluded.
Two reports from +58 412-555-1234: "MarΓa GonzΓ‘lez, 30" and "Maria Gonzalez" (no age) β same person (re-submission)
Name (phonetic) + age + a shared distinctive location. Links the same person reported by different people, even across different registries.
"JesΓΊs GimΓ©nez, 24, Playa Grande, NaiguatΓ‘" (venezuelareporta) + "Jesus Jimenez, 25, NaiguatΓ‘" (Desaparecidos Terremoto Venezuela) β same person
Humans stay in control
Every match is a suggestion for human review. A person confirms before any case is closed, because a wrong match could stop the search for someone still missing.
These figures are from the latest resolution run on the current data. The numbers reflect the de-duplicated registry; the raw per-source totals are larger because the same people appear repeatedly.
We'd like to work directly with the teams behind each registry to help better. If you're part of any of these projects β or can connect us β write to us at hello@tilores.io.
Three deliverables, ready to use
One record per real person, merging reports from all three sources, with a "found / safe" status if any of their reports indicated one.
33,756 duplicate records merged: which reports are the same person, keeping one primary, using each sourceβs original identifiers.
Hospital patients linked to their missing-person report by national ID and name, to help locate people who are alive and in care.
Prevent duplicates at the source and screen hospital lists
Dedupe and search the moment each new report is captured, preventing duplicates at the source instead of cleaning them up afterwards.
Compare lists of admitted or identified patients against the registry to surface likely matches and help reunite people with their families faster.
Would this help? Let's talk.
If you run a registry, a relief effort, or a hospital's data, we'd be glad to talk. Tilores offers this free to those searching in Venezuela.