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Data open
Las cifras de Memoria y Resistencia en un solo lugar: los casos que documentamos, cómo hablan los medios y qué hacen los congresos. Elige qué ver, compara años o arma tu propia gráfica. Behind every number there is a person with a name: learn their story in the memorial.
Panorama en todo el país
Casos públicos documentados entre 14 feb 1530 y 29 oct 2026.
- people documented
- 3,266
- lost their lives
- 3,183
- trans, travesti and muxe people
- 976
- years, average age (median: 35)
- 38
- years, average age of trans people
- 31.8
- disappearances (8 not located)
- 29
- survived an attack
- 45
- States (418 municipalities)
- 32
The charts could not load. We show you the same data in tables.
When
Cómo ha cambiado el registro a lo largo del tiempo, y en qué meses y días ocurren más casos.
Cases by year and record type
Año de los hechos o del fallecimiento. Hay registros históricos de hace siglos; la mayoría son de 1995 en adelante. Los años recientes pueden aumentar conforme documentamos más casos.
See the data table
| Year | Crime or offense | Disappearance | Obituary | Other | Total |
|---|---|---|---|---|---|
| 2026 | 50 | 8 | 5 | 1 | 68 |
| 2025 | 49 | 5 | 2 | 2 | 59 |
| 2024 | 71 | 0 | 3 | 1 | 78 |
| 2023 | 57 | 3 | 0 | 1 | 65 |
| 2022 | 66 | 5 | 3 | 0 | 85 |
| 2021 | 60 | 0 | 2 | 0 | 69 |
| 2020 | 68 | 7 | 14 | 0 | 95 |
| 2019 | 116 | 0 | 72 | 0 | 189 |
| 2018 | 91 | 0 | 101 | 0 | 192 |
| 2017 | 62 | 0 | 130 | 0 | 192 |
| 2016 | 37 | 0 | 155 | 0 | 192 |
| 2015 | 18 | 0 | 114 | 1 | 133 |
| 2014 | 26 | 0 | 97 | 0 | 123 |
| 2013 | 36 | 0 | 97 | 0 | 133 |
| 2012 | 31 | 0 | 93 | 0 | 124 |
| 2011 | 25 | 0 | 51 | 0 | 76 |
| 2010 | 11 | 0 | 20 | 0 | 31 |
| 2009 | 5 | 0 | 31 | 0 | 37 |
| 2008 | 43 | 0 | 18 | 0 | 61 |
| 2007 | 42 | 0 | 15 | 0 | 57 |
| 2006 | 59 | 0 | 14 | 0 | 73 |
| 2005 | 91 | 0 | 17 | 0 | 108 |
| 2004 | 49 | 0 | 12 | 0 | 61 |
| 2003 | 31 | 0 | 16 | 0 | 47 |
| 2002 | 44 | 0 | 10 | 0 | 54 |
| 2001 | 41 | 0 | 8 | 0 | 49 |
| 2000 | 24 | 0 | 8 | 0 | 33 |
| 1999 | 27 | 0 | 3 | 0 | 30 |
| 1998 | 19 | 0 | 8 | 0 | 27 |
| 1997 | 32 | 0 | 8 | 0 | 40 |
| 1996 | 27 | 0 | 9 | 0 | 36 |
| 1995 | 19 | 0 | 10 | 0 | 29 |
| 1994 | 1 | 0 | 4 | 0 | 5 |
| 1993 | 1 | 0 | 12 | 0 | 13 |
| 1992 | 8 | 0 | 11 | 0 | 22 |
| 1991 | 7 | 0 | 4 | 0 | 11 |
| 1990 | 0 | 0 | 6 | 0 | 6 |
| 1989 | 0 | 0 | 4 | 0 | 4 |
| 1988 | 0 | 0 | 5 | 0 | 5 |
| 1987 | 0 | 0 | 4 | 0 | 4 |
| 1986 | 0 | 0 | 1 | 0 | 1 |
| 1985 | 0 | 0 | 1 | 0 | 1 |
| 1984 | 0 | 0 | 5 | 0 | 5 |
| 1983 | 0 | 0 | 2 | 0 | 2 |
| 1981 | 0 | 0 | 1 | 0 | 1 |
| 1980 | 0 | 0 | 3 | 0 | 3 |
| 1979 | 0 | 0 | 1 | 0 | 1 |
| 1978 | 0 | 0 | 1 | 0 | 1 |
| 1977 | 0 | 0 | 3 | 0 | 3 |
| 1976 | 0 | 0 | 1 | 0 | 1 |
| 1975 | 0 | 0 | 2 | 0 | 2 |
| 1974 | 0 | 0 | 3 | 0 | 3 |
| 1973 | 0 | 0 | 1 | 0 | 1 |
| 1972 | 0 | 0 | 4 | 0 | 4 |
| 1971 | 0 | 0 | 3 | 0 | 3 |
| 1970 | 0 | 0 | 1 | 0 | 1 |
| 1969 | 0 | 0 | 1 | 0 | 1 |
| 1968 | 1 | 0 | 2 | 0 | 3 |
| 1967 | 0 | 0 | 1 | 0 | 1 |
| 1966 | 0 | 0 | 1 | 0 | 1 |
| 1964 | 0 | 0 | 1 | 0 | 1 |
| 1960 | 0 | 0 | 2 | 0 | 2 |
| 1959 | 0 | 0 | 3 | 0 | 3 |
| 1958 | 0 | 0 | 1 | 0 | 1 |
| 1954 | 0 | 0 | 1 | 0 | 1 |
| 1953 | 0 | 0 | 1 | 0 | 1 |
| 1950 | 0 | 0 | 1 | 0 | 1 |
| 1949 | 0 | 0 | 1 | 0 | 1 |
| 1947 | 0 | 0 | 1 | 0 | 1 |
| 1946 | 0 | 0 | 2 | 0 | 2 |
| 1945 | 0 | 0 | 1 | 0 | 1 |
| 1944 | 0 | 0 | 2 | 0 | 2 |
| 1942 | 0 | 0 | 1 | 0 | 1 |
| 1941 | 0 | 0 | 1 | 0 | 1 |
| 1939 | 0 | 0 | 2 | 0 | 2 |
| 1937 | 0 | 0 | 1 | 0 | 1 |
| 1936 | 0 | 0 | 1 | 0 | 1 |
| 1931 | 0 | 0 | 1 | 0 | 1 |
| 1924 | 0 | 0 | 2 | 0 | 2 |
| 1919 | 0 | 0 | 1 | 0 | 1 |
| 1918 | 0 | 0 | 1 | 0 | 1 |
| 1915 | 0 | 0 | 1 | 0 | 1 |
| 1914 | 0 | 0 | 1 | 0 | 1 |
| 1906 | 0 | 0 | 1 | 0 | 1 |
| 1864 | 0 | 0 | 1 | 0 | 1 |
| 1858 | 0 | 0 | 1 | 0 | 1 |
| 1853 | 0 | 0 | 1 | 0 | 1 |
| 1695 | 0 | 0 | 1 | 0 | 1 |
| 1530 | 0 | 0 | 1 | 0 | 1 |
Gender identity by year, since 1990
Las identidades con más registros; las demás se suman en «Otras identidades». En muchos casos la identidad no se conoce: puedes ocultarlos para comparar mejor.
See the data table
| Year | Transgender woman | Cisgender man | Travesti | Cisgender woman | Muxe | Other identities | Unknown |
|---|---|---|---|---|---|---|---|
| 2026 | 39 | 20 | 0 | 2 | 0 | 2 | 5 |
| 2025 | 40 | 18 | 0 | 0 | 1 | 0 | 0 |
| 2024 | 64 | 4 | 3 | 4 | 2 | 1 | 0 |
| 2023 | 38 | 15 | 7 | 0 | 1 | 1 | 3 |
| 2022 | 54 | 8 | 10 | 6 | 2 | 1 | 4 |
| 2021 | 45 | 15 | 7 | 1 | 0 | 0 | 1 |
| 2020 | 55 | 10 | 10 | 4 | 1 | 2 | 13 |
| 2019 | 75 | 2 | 1 | 0 | 2 | 2 | 107 |
| 2018 | 78 | 3 | 3 | 1 | 0 | 0 | 107 |
| 2017 | 52 | 0 | 10 | 0 | 0 | 0 | 130 |
| 2016 | 43 | 2 | 10 | 0 | 2 | 0 | 135 |
| 2015 | 28 | 1 | 4 | 0 | 2 | 0 | 98 |
| 2014 | 29 | 1 | 1 | 0 | 1 | 0 | 91 |
| 2013 | 36 | 0 | 11 | 0 | 1 | 0 | 85 |
| 2012 | 30 | 0 | 4 | 1 | 1 | 0 | 88 |
| 2011 | 11 | 2 | 13 | 0 | 0 | 0 | 50 |
| 2010 | 11 | 2 | 0 | 0 | 0 | 0 | 18 |
| 2009 | 7 | 2 | 0 | 0 | 3 | 0 | 25 |
| 2008 | 7 | 32 | 2 | 2 | 0 | 0 | 18 |
| 2007 | 6 | 30 | 4 | 1 | 0 | 0 | 16 |
| 2006 | 6 | 48 | 3 | 1 | 0 | 0 | 15 |
| 2005 | 5 | 83 | 1 | 2 | 0 | 0 | 17 |
| 2004 | 6 | 40 | 3 | 0 | 0 | 0 | 12 |
| 2003 | 3 | 25 | 5 | 0 | 0 | 0 | 14 |
| 2002 | 3 | 37 | 3 | 1 | 0 | 0 | 10 |
| 2001 | 4 | 35 | 2 | 0 | 0 | 0 | 8 |
| 2000 | 2 | 20 | 0 | 1 | 0 | 0 | 10 |
| 1999 | 0 | 21 | 2 | 3 | 0 | 0 | 4 |
| 1998 | 0 | 16 | 0 | 0 | 0 | 0 | 11 |
| 1997 | 2 | 26 | 1 | 2 | 0 | 0 | 9 |
| 1996 | 0 | 21 | 0 | 2 | 0 | 0 | 13 |
| 1995 | 2 | 11 | 1 | 3 | 0 | 0 | 12 |
| 1994 | 0 | 0 | 0 | 0 | 0 | 0 | 5 |
| 1993 | 0 | 1 | 1 | 0 | 0 | 0 | 11 |
| 1992 | 0 | 0 | 0 | 0 | 0 | 0 | 22 |
| 1991 | 0 | 0 | 5 | 0 | 0 | 0 | 6 |
| 1990 | 0 | 0 | 0 | 0 | 0 | 0 | 6 |
Month of the events
Solo casos con fecha completa. Las fechas registradas como «1 de enero» suelen indicar que solo se conoce el año, así que no se cuentan.
See the data table
| Month | People | % |
|---|---|---|
| January | 238 | 7.3 |
| February | 231 | 7.1 |
| March | 257 | 7.9 |
| April | 207 | 6.3 |
| May | 240 | 7.3 |
| June | 257 | 7.9 |
| July | 271 | 8.3 |
| August | 238 | 7.3 |
| September | 206 | 6.3 |
| October | 230 | 7.0 |
| November | 205 | 6.3 |
| December | 193 | 5.9 |
Day of the week of the crimes
Solo crímenes, delitos y otros hechos violentos con fecha completa (no obituarios).
See the data table
| Day | People | % |
|---|---|---|
| Monday | 202 | 6.2 |
| Tuesday | 213 | 6.5 |
| Wednesday | 192 | 5.9 |
| Thursday | 222 | 6.8 |
| Friday | 218 | 6.7 |
| Saturday | 215 | 6.6 |
| Sunday | 218 | 6.7 |
Where
Los Estados y municipios con más casos documentados, y su proporción frente a la población.
Por Estado
Entidad donde ocurrieron los hechos. Entre más oscuro, más casos. Pasa el cursor o toca un Estado para ver el detalle; haz clic para ver solo sus cifras.
See the data table
| State | People | % |
|---|---|---|
| Mexico City | 740 | 22.7 |
| Veracruz | 219 | 6.7 |
| State of Mexico | 201 | 6.2 |
| Jalisco | 140 | 4.3 |
| Chihuahua | 133 | 4.1 |
| Guerrero | 131 | 4.0 |
| Michoacán | 128 | 3.9 |
| Puebla | 108 | 3.3 |
| Nuevo León | 106 | 3.2 |
| Guanajuato | 95 | 2.9 |
| Yucatán | 89 | 2.7 |
| Quintana Roo | 79 | 2.4 |
| Morelos | 72 | 2.2 |
| Oaxaca | 69 | 2.1 |
| Baja California | 66 | 2.0 |
| Tabasco | 65 | 2.0 |
| Chiapas | 62 | 1.9 |
| Colima | 59 | 1.8 |
| Tamaulipas | 53 | 1.6 |
| Coahuila | 38 | 1.2 |
| Sinaloa | 31 | 0.9 |
| Nayarit | 25 | 0.8 |
| Hidalgo | 24 | 0.7 |
| Sonora | 22 | 0.7 |
| Querétaro | 19 | 0.6 |
| San Luis Potosí | 19 | 0.6 |
| Durango | 16 | 0.5 |
| Zacatecas | 13 | 0.4 |
| Aguascalientes | 10 | 0.3 |
| Campeche | 8 | 0.2 |
| Tlaxcala | 8 | 0.2 |
| Baja California Sur | 6 | 0.2 |
| No state | 412 | 12.6 |
Cases per million inhabitants
Divide los casos de cada Estado entre su población del Censo 2020, para comparar Estados grandes y pequeños. También refleja dónde hay más documentación.
See the data table
| State | Per million | Cases | Population 2020 |
|---|---|---|---|
| Colima | 80.7 | 59 | 731,391 |
| Mexico City | 80.3 | 740 | 9,209,944 |
| Quintana Roo | 42.5 | 79 | 1,857,985 |
| Yucatán | 38.3 | 89 | 2,320,898 |
| Guerrero | 37.0 | 131 | 3,540,685 |
| Morelos | 36.5 | 72 | 1,971,520 |
| Chihuahua | 35.5 | 133 | 3,741,869 |
| Veracruz | 27.2 | 219 | 8,062,579 |
| Tabasco | 27.1 | 65 | 2,402,598 |
| Michoacán | 27.0 | 128 | 4,748,846 |
| Nayarit | 20.2 | 25 | 1,235,456 |
| Nuevo León | 18.3 | 106 | 5,784,442 |
| Baja California | 17.5 | 66 | 3,769,020 |
| Jalisco | 16.8 | 140 | 8,348,151 |
| Oaxaca | 16.7 | 69 | 4,132,148 |
| Puebla | 16.4 | 108 | 6,583,278 |
| Guanajuato | 15.4 | 95 | 6,166,934 |
| Tamaulipas | 15.0 | 53 | 3,527,735 |
| Coahuila | 12.1 | 38 | 3,146,771 |
| State of Mexico | 11.8 | 201 | 16,992,418 |
| Chiapas | 11.2 | 62 | 5,543,828 |
| Sinaloa | 10.2 | 31 | 3,026,943 |
| Durango | 8.7 | 16 | 1,832,650 |
| Campeche | 8.6 | 8 | 928,363 |
| Querétaro | 8.0 | 19 | 2,368,467 |
| Zacatecas | 8.0 | 13 | 1,622,138 |
| Hidalgo | 7.8 | 24 | 3,082,841 |
| Baja California Sur | 7.5 | 6 | 798,447 |
| Sonora | 7.5 | 22 | 2,944,840 |
| Aguascalientes | 7.0 | 10 | 1,425,607 |
| San Luis Potosí | 6.7 | 19 | 2,822,255 |
| Tlaxcala | 6.0 | 8 | 1,342,977 |
Municipalities with the most cases
Los 15 municipios con más personas documentadas. Muchos casos solo tienen el Estado.
See the data table
| Municipality | People | % |
|---|---|---|
| Cuauhtémoc, Ciudad de México | 98 | 3.0 |
| Guadalajara, Jalisco | 79 | 2.4 |
| Mérida, Yucatán | 67 | 2.1 |
| Juárez, Chihuahua | 61 | 1.9 |
| Monterrey, Nuevo León | 56 | 1.7 |
| Tijuana, Baja California | 50 | 1.5 |
| Puebla, Puebla | 44 | 1.3 |
| Acapulco de Juárez, Guerrero | 40 | 1.2 |
| Morelia, Michoacán | 40 | 1.2 |
| Benito Juárez, Quintana Roo | 39 | 1.2 |
| Chihuahua, Chihuahua | 34 | 1.0 |
| Veracruz, Veracruz | 32 | 1.0 |
| Benito Juárez, Ciudad de México | 30 | 0.9 |
| Chilpancingo de los Bravo, Guerrero | 28 | 0.9 |
| Colima, Colima | 26 | 0.8 |
Who
Identidad, orientación, expresión de género, edad y a qué se dedicaban las personas.
Gender identity
Como la persona se identificaba, según la información disponible. Muxe y Travesti son identidades propias.
See the data table
| Identity | People | % |
|---|---|---|
| Transgender woman | 812 | 24.9 |
| Cisgender man | 563 | 17.2 |
| Travesti | 139 | 4.3 |
| Cisgender woman | 38 | 1.2 |
| Muxe | 19 | 0.6 |
| Transgender man | 6 | 0.2 |
| Non-binary | 3 | 0.1 |
| Other | 1 | 0.0 |
| Unknown | 1,685 | 51.6 |
Sexual orientation
Según la información disponible. Si solo se sabe que era de la diversidad sexual, se registra «sin especificar».
See the data table
| Orientation | People | % |
|---|---|---|
| Sexual diversity (unspecified) | 1,714 | 52.5 |
| Gay | 484 | 14.8 |
| Lesbian | 54 | 1.7 |
| Heterosexual | 32 | 1.0 |
| Bisexual | 17 | 0.5 |
| Other | 10 | 0.3 |
| Unknown | 955 | 29.2 |
Age range
Age at the time of the events.
No age data: 1,642 people.
See the data table
| Age | People | % |
|---|---|---|
| 0 a 17 | 44 | 1.3 |
| 18 a 24 | 229 | 7.0 |
| 25 a 29 | 259 | 7.9 |
| 30 a 39 | 483 | 14.8 |
| 40 a 49 | 280 | 8.6 |
| 50 a 59 | 157 | 4.8 |
| 60 or older | 172 | 5.3 |
| No data | 1,642 | 50.3 |
Age by gender identity
Mediana de edad: la mitad del grupo era menor y la mitad mayor. Solo grupos con al menos 3 personas con edad conocida. Al pasar el cursor ves el promedio y el rango.
See the data table
| Identity | Median | Average | People with age | Youngest | Oldest |
|---|---|---|---|---|---|
| Transgender woman | 30.0 | 32.0 | 434 | 16 | 69 |
| Cisgender man | 37.0 | 39.1 | 368 | 6 | 83 |
| Travesti | 26.5 | 29.4 | 56 | 16 | 55 |
| Cisgender woman | 28.0 | 29.3 | 23 | 17 | 57 |
| Muxe | 31.0 | 38.6 | 9 | 24 | 68 |
| Transgender man | 35.5 | 31.0 | 4 | 17 | 36 |
| Non-binary | 30.0 | 32.0 | 3 | 28 | 38 |
| Unknown | 38.0 | 42.2 | 726 | 13 | 98 |
Gender expression
How the person presented themselves to others.
See the data table
| Expression | People | % |
|---|---|---|
| Feminine | 1,023 | 31.3 |
| Masculine | 555 | 17.0 |
| Other | 2 | 0.1 |
| Androgynous | 1 | 0.0 |
| Genderqueer | 1 | 0.0 |
| Unknown | 1,684 | 51.6 |
What they did for a living
Agrupamos la ocupación registrada en grandes áreas. Una persona puede estar en más de un grupo.
See the data table
| Occupation | People | % |
|---|---|---|
| Arts and entertainment | 180 | 5.5 |
| Activism and human rights defense | 94 | 2.9 |
| Hairdressing and beauty | 87 | 2.7 |
| Sex work | 82 | 2.5 |
| Bars, retail and services | 71 | 2.2 |
| Teaching and research | 55 | 1.7 |
| Students | 34 | 1.0 |
| Health | 26 | 0.8 |
| Journalism and communication | 23 | 0.7 |
| Public service and politics | 20 | 0.6 |
| Other trades and professions | 117 | 3.6 |
Intersectionality
Otras condiciones que aumentan la vulnerabilidad. Una persona puede tener varias.
- 87 Human rights defender2.7% of documented people
- 14 Migrant person0.4% of documented people
- 3 Speaks an Indigenous language0.1% of documented people
- 3 Homeless0.1% of documented people
- 2 Person with a disability0.1% of documented people
See the data table
| Status | People | % |
|---|---|---|
| Human rights defender | 87 | 2.7 |
| Migrant person | 14 | 0.4 |
| Speaks an Indigenous language | 3 | 0.1 |
| Homeless | 3 | 0.1 |
| Person with a disability | 2 | 0.1 |
How
The record type, the crimes and how the violence was committed.
Record type
Crimen o delito, desaparición, obituario u otro. Cada cuadro representa 6 personas.
- Obituary 1,682
- Crime or offense 1,503
- Attack (survived) 45
- Disappearance 29
- Other 7
See the data table
| Type | People | % |
|---|---|---|
| Obituary | 1,682 | 51.5 |
| Crime or offense | 1,503 | 46.0 |
| Attack (survived) | 45 | 1.4 |
| Disappearance | 29 | 0.9 |
| Other | 7 | 0.2 |
Context of the death or attack
General category of the cause of death or of the attack, when known.
See the data table
| Context | People | % |
|---|---|---|
| Homicide/Attack | 438 | 13.4 |
| Undetermined | 13 | 0.4 |
| Natural | 6 | 0.2 |
| Suicide | 3 | 0.1 |
| Accidental | 2 | 0.1 |
How it was committed
Medio o causa registrada de la muerte o la agresión, agrupada. Solo casos con causa conocida.
See the data table
| Outlet | People | % |
|---|---|---|
| Firearm | 184 | 5.6 |
| Knife or blade | 118 | 3.6 |
| Beating | 71 | 2.2 |
| Asphyxiation or strangulation | 42 | 1.3 |
| Fire or burns | 16 | 0.5 |
| Hit by a vehicle | 7 | 0.2 |
| HIV/AIDS | 3 | 0.1 |
| Induced fall | 2 | 0.1 |
| Poisoning or overdose | 2 | 0.1 |
| Heart attack or cardiac arrest | 2 | 0.1 |
| Ahogamiento y sumersión | 1 | 0.0 |
| Sexual assault with bodily force | 1 | 0.0 |
| Accidental fall | 1 | 0.0 |
| Malignant tumor (cancer) - unspecified site | 1 | 0.0 |
| Undetermined cause | 13 | 0.4 |
Recorded crimes
Una persona puede tener más de un delito registrado. Es la clasificación del registro, no una sentencia.
See the data table
| Crime | People | % |
|---|---|---|
| Prejudice-motivated death / Hate crime | 338 | 10.3 |
| Transfemicide | 272 | 8.3 |
| Aggravated homicide | 84 | 2.6 |
| Femicide | 15 | 0.5 |
| Intentional homicide | 15 | 0.5 |
| Disappearance committed by private individuals | 5 | 0.2 |
| Suicide (induced/assisted) | 5 | 0.2 |
| Aggravated injuries | 4 | 0.1 |
| Sexual abuse | 1 | 0.0 |
| Enforced disappearance of persons | 1 | 0.0 |
How much we know
Qué parte de los casos tiene cada dato. Lo que falta también es información: muestra dónde hay subregistro.
Cases with each data point
Percentage of the 3,266 people who have that data recorded.
See the data table
| Data point | People with the data | % |
|---|---|---|
| Date | 2,791 | 85.5 |
| Municipality | 2,065 | 63.2 |
| Exact place | 1,908 | 58.4 |
| Age | 1,624 | 49.7 |
| Gender identity | 1,581 | 48.4 |
| Sexual orientation | 2,311 | 70.8 |
| Gender expression | 1,582 | 48.4 |
| Occupation | 648 | 19.8 |
| Cause of death or attack | 462 | 14.1 |
Where the information comes from
Casos que citan cada tipo de fuente. Un caso puede tener fuentes de varios tipos.
See the data table
| Source | Cases | % |
|---|---|---|
| Social media | 1,801 | 55.1 |
| Press | 1,139 | 34.9 |
| Organizations, reports and records | 876 | 26.8 |
How to read these figures
Estas cifras provienen de un registro comunitario: documentamos casos a partir de notas periodísticas, publicaciones en redes sociales, reportes de familias y amistades, informes de organizaciones y el trabajo de colectivas en distintos Estados. No es un conteo oficial ni exhaustivo, y la mayor presencia de casos en algunos Estados refleja también dónde tenemos más capacidad de documentación.
What it includes
- Cases only public, revisados por el equipo. Los datos sensibles (expedientes, contactos, salud) nunca se publican. Los registros duplicados se fusionan y no se cuentan dos veces.
- People who could not be identified by name are also counted.
- La fecha usada es la del fallecimiento; si no se conoce, la de los hechos o la del hallazgo.
- La identidad, la orientación y la expresión de género se registran respetando la autodefinición de la persona, conforme al Protocolo de la SCJN y los Principios de Yogyakarta. «Se desconoce» indica que la información no está disponible.
- Muxe y Travesti se registran como identidades propias. Cuando la prensa dice «travesti», así se registra. En México no existe un registro oficial de personas muxes.
- Cuando solo se sabe que la persona era de la diversidad sexual, la orientación se registra como «Diversidad sexual (sin especificar)».
- Los suicidios y accidentes se registran como hechos, no como obituarios. Los delitos corresponden a la clasificación registrada, no a una sentencia.
- The rate per million uses the population from INEGI's 2020 Census.
Underreporting
Muchas violencias contra personas LGBTTTIQANB+ no se denuncian, se registran con el nombre legal y el género asignado al nacer, o no llegan a los medios. Por eso las cifras reales son mayores. Si conoces un caso que no está aquí, report it. The full criteria are in the methodology.
Use the data
Las gráficas y tablas de esta página son libres: puedes usarlas, descargarlas como imagen y compartirlas. Los datos se publican con licencia CC BY 4.0: cite Memoria y Resistencia.
- Create your account or sign in with it.
- Answer the starting questionnaire. With that you can already use the figures in JSON with your personal key.
- Request the CSV de los casos y cuéntanos para qué lo usarás. Cuando lo autoricemos, el enlace aparece en Mi cuenta.