This page describes the methodological framework of the HNDS-I Migrant Mortality Mapping Portal Project (M3P2) and serves as a guide for users of the M3P2 data, as well as for those interested in collaborating with the project team. The descriptions below summarize the methods used to collect, process, and standardize the M3P2 dataset.


Data Collection

Scope

As of August 2026, the M3P2 dataset includes reported migrant deaths that occurred from 1980 through 2023 on the United States side of the United States–Mexico border in California, Arizona, New Mexico, and Texas. Additional updates are planned for 2026–2027.

M3P2 documents the deaths of migrants—people who die while traveling to a country other than their country of residence. Our definitions of “migrant” and “migrant death” are based on those used by the International Committee of the Red Cross and the United Nations’ International Organization for Migration. Specifically, a “migrant” is a person (or persons) “who leave or flee their habitual residence to go to new places—usually abroad—to seek opportunities or safer and better prospects.” A “migrant death” refers to a person (or persons) “who have died at the external borders of states, or in the process of migration towards an international destination, regardless of their legal status.” [1,2]

We adopt these definitions of “migrant” and “migrant death” because they recognize both the motivations for migration (e.g., safety and employment) and migration as a process (e.g., journey, border crossing). We also expand our understanding of “migrant” from the International Committee of the Red Cross and the International Organization for Migration in two ways:

  1. We explicitly recognize the geography of the United States—Mexico borderlands as a contributing factor to migrant deaths, including the physical environment (e.g., terrain and climate) and United States border enforcement policies, such as Prevention Through Deterrence [3]; and
  2. We adopt a perspective that reflects the broader context of the United States—Mexico borderlands, recognizing migrant deaths as a regional phenomenon rather than as isolated incidents.

Data Sources

The M3P2 dataset is compiled from death reports obtained through public information requests submitted to state and county agencies along the United States–Mexico border. Primary data sources include medical examiners’ and coroners’ offices, county sheriff’s offices, and, in Texas, Justices of the Peace. In addition, the dataset incorporates one national-level source: publicly accessible unidentified persons reports from the National Missing and Unidentified Persons System (NamUs). NamUs cases were included only when the available case notes provided sufficient information to identify the decedent as a migrant. For example, a case would be included if the Case Circumstances notes stated, “Remains were recovered from a known migration corridor.”

The M3P2 dataset also incorporates data from No More Deaths, a humanitarian organization based in southern Arizona; Operation Identification, a program of the Forensic Anthropology Center at Texas State University; and the International Organization for Migration’s Missing Migrants Project. We also requested data from several other local, state, and federal agencies, including the United States Border Patrol’s Missing Migrant Program, but were unable to obtain access to their records.

Data sources as of August 2026:
Riverside County Sheriff’s Office, CA
San Diego County Medical Examiner’s Office, CA
Imperial County Coroner’s Office, CA
Maricopa County Office of the Medical Examiner, AZ
Pima County Office of the Medical Examiner/Humane Borders’ Open GIS of Migrant Mortality, AZ
New Mexico Office of the Medical Investigator, NM
Brooks County Sheriff’s Office, TX
El Paso County Office of the Medical Examiner, TX
Hudspeth Justice of the Peace 1, TX
Hudspeth Justice of the Peace 2, TX
Publicly accessible NamUs unidentified persons reports, TX and CA
No More Deaths, AZ
Operation Identification, Texas State University, TX
International Organization for Migration’s Missing Migrants Project

Criteria for Designating a Migrant-Related Forensic Case

A journal article coauthored by members of the M3P2 team and published in 2024 [4] explains the criteria used to determine whether a deceased person should be included in the M3P2 migrant mortality dataset. These four criteria are:

  1. Context. The individual died in the process of migration, and the death is associated with the United States—Mexico border and United States border enforcement policies, including Prevention Through Deterrence. This criterion reflects a regional perspective that encompasses migration routes recognized by federal and local law enforcement agencies, humanitarian organizations, researchers, and migrant family and community networks.
  2. Identification documentation. The absence of United States identification documents may indicate that the deceased individual traveled from outside the United States. When no identification is available, the decedent’s location (Criterion 3) and personal effects (Criterion 4) may provide evidence that the individual was traveling outside state-authorized channels or avoiding official ports of entry. Other forms of identification, such as a voter registration card, birth certificate, or non-U.S. identification card, may also indicate that the decedent was a migrant.
  3. Geographic parameter(s). We identify geographic zones where migrants are more likely to experience border enforcement-related mortality during active transit. These zones include:
    1. Zone A: The area adjacent to the United States–Mexico border and in the vicinity of United States Border Patrol (USBP) permanent interior checkpoints.
    2. Zone B: The area between USBP permanent interior checkpoints and the USBP-defined 100-mile border zone.
    3. Zone C: Locations within the interior of the United States where there is clear evidence that the individual died in the process of migration [5].
      1. “Active transit” is an essential component of a Zone C classification. For example, the 50 migrants found dead in an abandoned tractor-trailer in San Antonio, Texas, meet this criterion [6]. In contrast, deaths associated with workplace enforcement operations conducted by the USBP or US Immigration and Customs Enforcement (ICE) would not qualify. Active transit cases and events, including the San Antonio case, occurring in the interior of the United States are not currently included in the M3P2 dataset because consistently identifying them across the full study period is not currently feasible, particularly given that the dataset extends back to 1980.
  4. Personal effects. Items found on or with the human remains—such as foreign currency, religious objects, or other personal belongings—that indicate active transit and suggest a country of origin other than the United States.

This generalized guide to deaths during migration along the United States border facilitates consistent evaluation of past, present, and future records. These four criteria are not universally applicable to all migrant deaths. Our criteria are relevant to the United States southwestern border and might be informative for other fatal border crossing contexts. These criteria will help M3P2 and others ensure compatibility of data across United States-based jurisdictions as migrant mortality accounting and research continue.

Standardization

All cases were reviewed and standardized before inclusion in the M3P2 dataset. When information was not provided by a source, the value “No information” was recorded in the corresponding field. The M3P2 dataset includes 26 standardized fields that capture key geographic and forensic characteristics of the decedent and the circumstances of death. This standardized structure facilitates comparisons of migrant mortality across the southwestern United States border region.

Table 1a. Standardized fields, or columns, included in the M3P2 dataset in English

Website Field NameDescription
IDM3P2 system identification number
SourceData source identifier
Death DateDate the human remains were found, if known
Death YearYear the human remains were found, if known
Death MonthMonth the human remains were found, if known
Death SeasonSeason the human remains were found, if known
Age RangeEstimated age at death, reported as a range by the data source or determined by the administrator
SexBiological sex, as estimated or known
IdentifiedIndicates whether the human remains have been identified, if known
Race/EthnicityThe categories "race" and/or "ethnicity" were used interchangeably, depending on the data source, and were coded as documented by the original data source before being standardized according to federal reporting categories for "race" and "ethnicity." Notation format: Race (if specified), Ethnicity (if specified)
NationalityCountry of origin for identified cases, cases with associated identification documents, or cases for which the data source reports a nationality. Nationality is considered tentative until a positive identification is made
Manner of DeathManner of death, using standardized forensic terminology
Cause of DeathCause of death from source, if provided. Standardized categories
Condition of RemainsCondition of remains as reported by the data source, if provided. Standardized categories
StateU.S. State
CountyU.S. County
CityCopied directly from the original data source, when available. May indicate the nearest city, town, or other populated place where the human remains were recovered
ZIP CodeU.S. ZIP Code
Land AccessDeductively categorized based on the data source's circumstances or scene removal notes and, when available, information indicating how and/or by whom the decedent was discovered. Standardized categories
Landscape TypeDeductively categorized based on the data source's general description of the landscape in which the decedent was found or died (e.g., a hospital), when provided. Standardized categories
Position Accuracy LevelCopied directly from the original data source, when available. Cross-checked against the case's scene removal and/or circumstances notes to verify the location
LatitudeDecimal degrees, positive values (Northern Hemisphere), WGS84
LongitudeDecimal degrees, negative values (Western Hemisphere), WGS84
Coordinate Location AccuracyStandardized indication of positional accuracy. Cross-checked against the case's latitude and longitude coordinates, when provided.
At SceneLaw enforcement agencies present at the death scene, as documented in the data source's case notes
FinderPerson or entity that discovered the decedent, as documented in the data source's case notes

Tabla 1b. Campos estandarizados, o columnas, incluidos en el conjunto de datos M3P2 en español

Nombre del campo en el sitio webDescripcíon
IdentificaciónNúmero de identificación del sistema M3P2
Fuente
Identificador de la fuente de datos
Fecha de muerteFecha en que se encontraron los restos humanos, si se sabe
Año de muerteAño en que se encontraron los restos humanos, si se sabe
Mes de la muerteMes en que se encontraron los restos humanos, si se sabe
Temporada de muerteEstación en la que se hallaron los restos humanos, si se sabe
Rango de edadEdad estimada al fallecimiento, indicada como un rango por la fuente de datos o determinada por el administrador
SexoSexo biológico, según se estime o se sabe
IdentificadoIndica si los restos humanos han sido identificados, si se sabe
Raza/EtnicidadLas categorías de «raza» y/o «etnia» se utilizaron indistintamente, según la fuente de datos, y se codificaron tal como figuraban en la fuente original antes de ser estandarizadas conforme a las categorías federales de notificación para «raza» y/o «etnia». Formato de notación: Raza (si se especifica), Etnia (si se especifica)
NacionalidadPaís de origen de los casos identificados, de los casos con documentos de identificación asociados o de aquellos para los cuales la fuente de datos indica una nacionalidad. La nacionalidad se considera provisional hasta que se confirme la identificación
Forma de muerte
Manera de muerte, utilizando terminología forense estandarizada
Causa de muerte
Causa de muerte según la fuente, si se indica. Categorías estandarizadas
Estado del los restosEstado de los restos según lo informado por la fuente de datos, si se proporciona. Categorías estandarizadas
EstadoEstado de EE. UU.
Condado
Condado de EE. UU.
CiudadCopiado directamente de la fuente de datos original, cuando esté disponible. Puede indicar la ciudad, el pueblo u otro núcleo de población más cercano donde se recuperaron los restos humanos
Código postalCódigo postal de EE. UU.
Acceso terrestreCategorizado de forma deductiva a partir de las circunstancias de la fuente de datos o de las notas sobre la retirada del cuerpo y, cuando está disponible, de la información que indica cómo y/o por quién fue hallada la persona fallecida. Categorías estandarizadas
Tipo de paisajeCategorizado de forma deductiva a partir de la descripción general —proporcionada por la fuente de datos— del entorno en el que se halló a la persona fallecida o donde esta murió (p. ej., un hospital). Categorías estandarizadas
Nivel de precisión de posiciónCopiado directamente de la fuente de datos original, cuando está disponible. Contrastado con las notas sobre la retirada del lugar de los hechos y/o las circunstancias del caso para verificar la ubicación
LatitudGrados decimales, valores positivos (hemisferio norte), WGS84
LongitudGrados decimales, valores negativos (hemisferio occidental), WGS84
Precisión de ubicación de coordenadasIndicación estandarizada de la precisión posicional de las coordenadas. Verificada mediante comparación con las coordenadas de latitud y longitud del caso, cuando estas se proporcionan
En la escenaCuerpos de seguridad presentes en el lugar del fallecimiento, según consta en las notas del caso de la fuente de datos
DescrubidorPersona o entidad que descubrió a la persona fallecida, según consta en las notas del caso de la fuente de datos

Unique Field Preparation

Certain data fields required additional processing, including “Date of Death,” “Land Access,” and “Landscape Type.”

The Date of Death field was used to create separate Year, Month, and Season columns. In the dataset, the original field name, Date Associated with Death, was simplified to Date of Death and should therefore be interpreted with caution. Dates were carefully reviewed by the M3P2 team because, depending on the case, they could represent the date the body was found, pronounced dead, or received by the medical examiner rather than the actual time of death. Consequently, the recorded date is not always the definitive date, or moment, of death. The recorded date corresponds to the actual time of death only when the death was witnessed, such as in the case of an accident or when medical intervention was provided.

Land Access and Landscape Type were assigned based on available location information. Land Access was deductively determined by the M3P2 team using location descriptions together with circumstance and scene-removal notes. Rather than describing legal ownership, this field characterizes the accessibility of the location or the types of individuals or agencies likely to discover the decedent. Four standardized categories were used: Public, Private, Military, and Tribal. Public locations include publicly accessible areas such as hospitals and military installations, whereas Private locations include privately owned land, lots, buildings, and construction sites.

Landscape Type describes the general environment in which remains were found (or, in cases such as hospital deaths, where the death occurred). Like Land Access, this field was assigned deductively using available location information. Five standardized categories were defined: a) Desert, including arid environments with little or no vegetation; b) Vegetated Area, including brushland, forests, parks, nature preserves, and agricultural land; c) Water, including rivers, canals, arroyos, dams, the Pacific Ocean, estuaries, washes, beaches, and embankments; d) Built Area, including lots, roads (trail, dirt, caliche, county, farm-to-market, street, avenue, boulevard, freeway, highway), construction sites, cemeteries, hospitals, and private residences; and e) Mountain, representing mixed rugged or high-elevation terrain.


Case consolidation

Preparation of the M3P2 dataset included identifying and eliminating duplicate records, a time-intensive process because information for the same decedent was often obtained from multiple sources. For example, the same decedent might appear in more than one database or report, such as both a sheriff’s death report and a NamUs unidentified persons report. Record consolidation was therefore necessary whenever migrant mortality data were acquired from multiple sources within the same state or county. When multiple records existed for a single decedent, they were consolidated into a single record by prioritizing information from the agency responsible for the case, typically the medical examiner or coroner. Information from other sources was then used to supplement the primary record or resolve discrepancies, giving preference to the most recently updated information when appropriate.

Table 2. Protocol for finding duplicated decedent records

AssessmentDeterminationRecords should be combined IF:
Does the investigating agency, the entity with custody of the remains, maintain additional case or incident numbers associated with the remains?Yes/NoMultiple unique identifiers match, and the dates associated with death correspond across records
Across records, do the state, county, and nearest city or town match?Yes/NoThe recovery location is consistent across records
If provided, do the GPS coordinates match?Yes/NoThe GPS coordinates match across records
Do multiple cases share the same date associated with death?Count, numericThe location fields (state, county, and city/town), together with the available circumstance and scene-removal notes, are consistent across records
If available, do the biological profile determinations of age and sex match?Yes/NoThe estimated age and sex match across records. Interpret with caution: age and sex determinations from skeletal remains can change following reexamination or genetic testing. These characteristics should carry less weight than location, date, and case-number information
If available, do the cause of death and condition of the remains match?Yes/NoThe cause of death and condition of the remains are consistent across records. Interpret with caution: cause and condition determinations may change following pathological or anthropological examination. These characteristics should carry less weight than location, date, and case-number information

Positional Accuracy

M3P2 emphasizes the importance of positional accuracy because spatial analyses are only as reliable as the locations on which they are based. Positional accuracy refers to the degree to which a recorded geographic location corresponds to the decedent’s actual location of death or recovery. The precision of location information varies considerably among records in the M3P2 dataset. Some records include GPS coordinates collected at or near the scene, whereas others identify only a general location, such as a city, ZIP code, or county.

Consequently, positional accuracy reflects not only the precision of the recorded coordinates but also the confidence that they represent the correct location. Without qualitative and quantitative information on positional accuracy, the reliability of spatial analyses, including the identification of clusters, hotspots, and temporal patterns, is questionable. Accordingly, every available location record underwent a detailed manual review to verify its positional accuracy before being included in the spatial analyses.

Not all records in the M3P2 dataset include GPS coordinates (5,754 of 6,635 records). Each available GPS coordinate was manually reviewed to verify that it fell within the correct state and county and was consistent with other location information, including ZIP code, nearest city or town, and narrative location descriptions. Based on this evaluation, each coordinate was assigned a positional accuracy level. The table below summarizes the criteria used to assess positional accuracy.

Table 3a. Determination of positional accuracy for the M3P2 dataset in English

Coordinate Decimal PlacesNarrative SpecificityAccuracy LevelRationaleAnalogous Arizona OGIS Positional Accuracy Measure
6–7Specific (e.g., canal, road, survey)HighHigh precision and detailed spatial descriptionGPS Coordinate (precise to within ca. 300ft./100m)
6–7Vague (e.g., desert, remote area)MediumPrecise coordinates, but narrative lacks confirmable location infoPhysical description with directions, distances, and landmarks (within 1mi/2km)
4–5SpecificMediumModerate precision supported by specific descriptionStreet Address (precise to within ca. 1000ft/300m)
4–5VagueLowPrecision is moderate, but vague location lowers confidenceVague physical description (precise to within 10mi/15km)
≤ 3AnyLowLow coordinate precision always results in low confidenceVague physical description (precise to within 10mi/15km)

Tabla 3b. Determinación de la precisión posicional para el conjunto de datos M3P2 en español

Decimales de las coordenadasEspecificidad de la descripción Precisión de ubicación de coordenadasJustificaciónMedida análoga de exactitud posicional de Arizona OGIS
6–7Específica (p. ej., canal, carretera, levantamiento topográfico)AltoAlta precisión y descripción espacial detalladaCoordenada GPS (precisa dentro de aprox. 300 pies/100 m)
6–7Vaga (p. ej., desierto, zona remota)MediañoCoordenadas precisas, pero la descripción carece de información que permita confirmar la ubicaciónDescripción física con indicaciones, distancias y puntos de referencia (dentro de 1 mi/2 km)
4–5EspecíficaMediañoPrecisión moderada respaldada por una descripción específicaDirección postal (precisa dentro de aprox. 1,000 pies/300 m)
4–5VagaBajoLa precisión es moderada, pero la descripción vaga reduce el nivel de confianzaDescripción física vaga (precisa dentro de 10 mi/15 km)
≤ 3CualquieraBajoLa baja precisión de las coordenadas siempre produce un nivel bajo de confianzaDescripción física vaga (precisa dentro de 10 mi/15 km)

The M3P2 team considered four factors when assigning levels of positional accuracy. First, the precision of the reported latitude and longitude coordinates was evaluated according to the number of decimal places provided. Second, the specificity of the narrative location description was assessed using location-related keywords (e.g., canal, survey marker, desert, and mountain). Narrative information was obtained primarily from scene removal notes and circumstance reports. When the geographic coordinates corresponded closely with the narrative description—for example, when mapped coordinates were located adjacent to the canal described in the scene removal notes—the location was assigned a higher level of positional accuracy.

Third, the final positional accuracy classification was based on the more conservative of the two sources of information: the geographic coordinates or the narrative description. High coordinate precision alone was not sufficient to justify a high positional accuracy rating if the accompanying narrative was vague or inconsistent with the mapped location.

Fourth and finally, the specificity of the narrative always constrained the final positional accuracy assessment. For example, a statement such as “remains found near a hiking trail” provides substantially less locational certainty than “remains found 1.5 miles southeast of the Vista Hiking Trail trailhead.” In other words, highly precise geographic coordinates cannot compensate for vague or absent spatial descriptions. The only exception involved Arizona cases, where volunteers from Humane Borders routinely communicate directly with the medical examiner’s office or sheriff’s office to verify reported coordinate locations, thereby providing additional confidence in their positional accuracy.

Limitations

Information Requests Made by M3P2

All migrant death reports requested by M3P2 were publicly accessible or available through public records requests. Although death reports may contain personal and sensitive information, the M3P2 was designed to minimize the collection, storage, and dissemination of identifying information. Personal information may include names, dates of birth, and physical addresses, whereas sensitive information may include Social Security numbers, medical records, and biometric data such as fingerprints. Because the M3P2 focuses primarily on unidentified decedents, many of these personal identifiers were not present in the records obtained. In addition, the project specifically requested that certain types of information not be included in records provided by the data custodians. These exclusions included photographs or descriptions of tattoos and personal effects, as well as names, aliases, and other identifying information associated with the decedent.

These restrictions were adopted to reduce the risk of harm while preserving the scientific and humanitarian value of the dataset. Although names and aliases can assist families searching for missing relatives, publicly releasing such information may expose families to fraud or extortion by individuals claiming to possess information about a missing loved one. Consequently, identifying information remains with the agencies responsible for the original records, including medical examiner and coroner offices, consulates, and humanitarian organizations. These institutions are better positioned to verify identities, communicate with families, and safeguard sensitive information while reducing the risk of exploitation.

Although the death reports used by the M3P2 are publicly available from the respective data custodians, the project does not redistribute the original reports. Instead, M3P2 provides a standardized, de-identified dataset for download in spreadsheet format. Users seeking the original death reports in PDF format must request them directly from the appropriate agency or organization, in accordance with its policies and applicable public records procedures.


Time Span

Although the M3P2 dataset spans the period 1980–2023, only a handful of records from Arizona and Texas date back to the 1980s. California records begin in 2006, whereas the vast majority of records from Texas and all New Mexico records begin in 2009. Consequently, the M3P2 Regional Demonstration Dataset described in our 2022 National Science Foundation proposal used 2009 as its starting year to ensure consistent temporal coverage across the four southwestern border states.

Arizona has one of the longest and most consistently documented records of migrant deaths—referred to locally as Undocumented Border Crosser (UBC) deaths—among the southwestern border states. The longevity and completeness of Arizona’s records are largely attributable to the centralized forensic investigation system led by the Pima County Office of the Medical Examiner in Tucson and its sustained collaboration with USBP, academic researchers, and faith-based humanitarian organizations. These long-standing partnerships have supported the systematic documentation of migrant deaths and extensive efforts to identify decedents, creating a historical record unmatched elsewhere along the southwestern United States border.


Exclusions

Not all migrant deaths in the M3P2 dataset are represented as point locations on the mortality map (5,754 of 6,635 records). A case may not be mapped because geographic coordinates were unavailable or because the recorded location did not correspond to the actual site of death or recovery. M3P2 maps recovery locations, which in most cases correspond to the location where the decedent was found.

Cases were not plotted for several reasons. First, some unidentified or unclaimed decedents were buried in county cemeteries, particularly in Texas, where burial may serve as long-term storage. Cemetery locations do not represent the site of death or recovery and therefore were not mapped. Second, some migrants died after being transported to a hospital, but the location where they were initially recovered was not documented. In these cases, the hospital location was retained in the dataset but was not used for mapping because it does not represent the recovery location. Third, some decedents were transferred directly between agencies, such as from a sheriff’s office to a medical examiner, without documentation of the recovery site. Finally, some records identified only a broad geographic area, such as a county or ZIP code, rather than a sufficiently precise location. Although these records could not be mapped as point locations because they lacked the positional accuracy required for latitude and longitude coordinates, they were retained in the dataset and included in county-level maps and analyses.

The M3P2 dataset also excludes several categories of deaths that fall outside its scope. These include deaths occurring in immigration detention facilities or after deportation, deaths associated primarily with labor exploitation, deaths occurring after migrants have become established in a new community (including refugee camps or permanent housing), and deaths of internally displaced persons within their country of origin.

Cause and manner of death were intentionally excluded from the four inclusion criteria because these determinations vary across jurisdictions and may introduce assumptions about the risks associated with migration based on previous trends rather than the circumstances of an individual case.

Finally, M3P2 does not document missing migrants or migrants taken into custody by U.S. Immigration and Customs Enforcement (ICE). Although these situations represent important humanitarian concerns, they require different data sources and methodologies and are better documented as distinct categories. The absence of comprehensive information on missing and detained migrants remains a significant gap in current humanitarian knowledge.


Geographic Scope

We understand that someone who is a migrant may not die at or near an international border. In the context of the United States-Mexico border we deliberately focus on remoteness because the challenges to positive identification in urban or more populated areas in the United States are different than at the border and the immediate border environs.

We recognize that migrants may die far from an international border. However, in the context of the United States–Mexico border, M3P2 deliberately focuses on deaths occurring in remote and often sparsely populated areas because the forensic and humanitarian challenges associated with documenting and positively identifying decedents differ substantially from those encountered in urban and more densely populated parts of the United States. These environments often present distinctive obstacles to recovery, identification, and documentation, making them the primary geographic focus of the project.


Ethical Statement

The M3P2 dataset and web portal were explicitly developed to support both research and humanitarian objectives. The platform is publicly accessible and is intended to serve a broad audience, including researchers, humanitarian organizations, policymakers, and families seeking information about missing migrant relatives.

M3P2 supports humanitarian forensic action, defined as the application of forensic medicine and science to activities that alleviate human suffering and protect the dignity of victims, particularly in the aftermath of conflicts, disasters, and humanitarian crises. The project adopts the recommendations of the International Committee of the Red Cross, which are grounded in the four Geneva Conventions of 1949 and their Additional Protocols of 1977 regarding the treatment of the deceased and unidentified [7, 8]. In particular, M3P2 seeks to support “improving the communication, coordination and cooperation of forensic and investigative agencies involved in the recovery, analysis, documentation and management of decedent migrants […]” [9].

Beyond its research value, the M3P2 platform was developed to increase public awareness of migrant mortality along the United States–Mexico border and to provide an openly accessible resource for research, education, and humanitarian action. By making standardized, spatially referenced data publicly available, the project encourages users to investigate their own research questions, develop evidence-based policies and practices, and share their findings with broader communities.

A more complete understanding of the magnitude and geographic distribution of migrant deaths is essential for developing appropriate resources, improving training and operational procedures, strengthening forensic investigations, and ultimately reducing preventable loss of life.


Works Cited

[1] International Committee of the Red Cross/ International Federation of the Red Cross. 2009. Policy on Migration, available at: https://www.unhcr.org/ie/sites/en-ie/files/legacy-pdf/4bf646c89.pdf (Accessed 30 June 2026).

[2] IOM. Missing Migrants Project methodology, 2014, available at: https://missingmigrants.iom.int/methodology. (Accessed 30 June 2026).

[3] Homeland Security Digital Library, CRS Report to Congress, United States Border Patrol Operations: Prevention through Deterrence, 1997, available at: https://www.hsdl.org/c/view?docid=474656. (Accessed 30 June 2026).

[4] Miranker, M., Daniell, R., Kaplan, M., Flores-Guillen, V., Hernandez, J., Edgar, H., Spradley, K., Herrmann, N. and Giordano, A. 2024. What is a migrant death? An operational definition for a more accurate enumeration of migrant mortality along the US—Mexico border. Forensic Science International, 363(2024)-112156. https://doi.org/10.1016/j.forsciint.2024.112156. 

[5] Cuttitta, P. 2020. Preface: The increasing focus on border deaths. In P. Cuttitta and T. Last (Eds.), Border deaths: Causes, dynamics and consequences of migration-related mortality, 9-20. Amsterdam: Amsterdam University Press. https://doi.org/10.1515/9789048550203-002. 

[6] Edison, J. and Svitek, P. 2022. At least 50 people found dead in abandoned 18-wheeler in San Antonio. The Texas Tribune, June 27, 2022. https://www.texastribune.org/2022/06/27/bodies-18-wheeler-san-antonio-lackland/. 

[7] International Committee of the Red Cross (ICRC), Geneva Convention Relative to the Protection of Civilian Persons in Time of War (Fourth Geneva Convention), 12 August 1949, 75 UNTS 287, available at: https://www.refworld.org/docid/3ae6b36d2.html. (Accessed 30 June 2026).

[8] International Committee of the Red Cross (ICRC), Protocol Additional to the Geneva Conventions of 12 August 1949, and relating to the Protection of Victims of International Armed Conflicts (Protocol I), 8 June 1977, 1125 UNTS 3, available at: https://www.refworld.org/docid/3ae6b36b4.html. (Accessed 30 June 2026).

[9] Cattaneo, C., Tidball Binz, M., Penados, L., Prieto, J., Finegan, O., and Grandi, M. 2015. The forgotten tragedy of unidentified dead in the Mediterranean. Forensic Science International 250: e1–e2.