COVID Grief Intervention Study 2020-2021
Mexico, 2020 - 2021
Get Microdata
Reference ID
MEX_2020_COVID-GIS_v01_M
Producer(s)
Valencian International University, Universidad Autónoma de Ciudad Juárez, ELPAC-Universidad de Ciencias del Comportamiento, University of Guadalajara, National Autonomous University of Mexico, International University of Ecuador
Collection(s)
Metadata
Created on
Mar 14, 2023
Last modified
Mar 14, 2023
Page views
21383
Downloads
309
Estado (Estado)
Data file: idc-exploratory-factor-analysis
Overview
Valid:
2030
Invalid:
0
Type:
Discrete
Start:
25
End:
52
Width:
28
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| - None - | 1 |
0%
|
|
| 09 | 1 |
0%
|
|
| AGUASCALENTES | 1 |
0%
|
|
| AGUASCALIENTES | 1 |
0%
|
|
| AQUILES SERDÃN | 1 |
0%
|
|
| ATIZAPÃN DE ZARAGOZA | 1 |
0%
|
|
| AZ | 1 |
0%
|
|
| Aguascalientes | 15 |
0.7%
|
|
| AlcaldÃa Cuauhtémoc | 2 |
0.1%
|
|
| AlcaldÃa Ãlvaro Obregón | 1 |
0%
|
|
| Alicante | 1 |
0%
|
|
| Antioquia | 3 |
0.1%
|
|
| Apizaco | 1 |
0%
|
|
| Atlixco | 1 |
0%
|
|
| BC | 2 |
0.1%
|
|
| Baja California | 28 |
1.4%
|
|
| Baja California Norte | 1 |
0%
|
|
| Baja California Sur | 2 |
0.1%
|
|
| Baja California sur | 1 |
0%
|
|
| Baja california | 5 |
0.2%
|
|
| Baja california sur | 1 |
0%
|
|
| Bc | 1 |
0%
|
|
| Bio bio | 1 |
0%
|
|
| Bogota | 1 |
0%
|
|
| Bogotá | 6 |
0.3%
|
|
| Bordeaux | 1 |
0%
|
|
| Bucuresti | 1 |
0%
|
|
| Buenos Aires | 1 |
0%
|
|
| Buenos aireS | 1 |
0%
|
|
| CD MX | 1 |
0%
|
|
| CD de México | 1 |
0%
|
|
| CDMX | 161 |
7.9%
|
|
| CDMX. | 1 |
0%
|
|
| CDmx | 1 |
0%
|
|
| CHIAPAS | 1 |
0%
|
|
| CHIH | 1 |
0%
|
|
| CHIHUAHUA | 3 |
0.1%
|
|
| CIUDAD DE MEXICO | 7 |
0.3%
|
|
| CIUDAD DE MÉXICO | 11 |
0.5%
|
|
| COAH | 1 |
0%
|
|
| COAHUILA | 3 |
0.1%
|
|
| CUAUHTEMOC | 1 |
0%
|
|
| CUNDINAMARCA | 1 |
0%
|
|
| Caldas | 1 |
0%
|
|
| California | 2 |
0.1%
|
|
| Campeche | 1 |
0%
|
|
| Cartago | 1 |
0%
|
|
| Casada | 1 |
0%
|
|
| Catoli o | 1 |
0%
|
|
| Católica | 2 |
0.1%
|
|
| Cd Mexico | 1 |
0%
|
|
| Cd de México | 1 |
0%
|
|
| Cd. MEXICO | 1 |
0%
|
|
| Cd. México | 1 |
0%
|
|
| Cd. de México | 1 |
0%
|
|
| Cddmx | 1 |
0%
|
|
| Cdmx | 92 |
4.5%
|
|
| Centro | 2 |
0.1%
|
|
| Cercado | 1 |
0%
|
|
| Chaco | 1 |
0%
|
|
| Chalco | 1 |
0%
|
|
| Chiapas | 10 |
0.5%
|
|
| Chihuahua | 45 |
2.2%
|
|
| Chimalhuacan | 1 |
0%
|
|
| Ciudad De Mexico | 1 |
0%
|
|
| Ciudad De México | 1 |
0%
|
|
| Ciudad México | 1 |
0%
|
|
| Ciudad de Mexico | 14 |
0.7%
|
|
| Ciudad de Meéxico | 1 |
0%
|
|
| Ciudad de México | 264 |
13%
|
|
| Ciudad de México DF | 4 |
0.2%
|
|
| Ciudad de México. GAM | 1 |
0%
|
|
| Ciudad de mexici | 1 |
0%
|
|
| Ciudad de mexico | 5 |
0.2%
|
|
| Ciudas de México | 1 |
0%
|
|
| Coahuila | 12 |
0.6%
|
|
| Coahuila de Zaragoza | 1 |
0%
|
|
| Colima | 3 |
0.1%
|
|
| Copenhague | 1 |
0%
|
|
| Cortes | 2 |
0.1%
|
|
| Coyoacan | 2 |
0.1%
|
|
| Cuautitlán Izcalli | 1 |
0%
|
|
| Cuautitlán izcalli | 1 |
0%
|
|
| Cuidad de Mexico | 1 |
0%
|
|
| Cuidad de México | 2 |
0.1%
|
|
| Cundinamarca | 1 |
0%
|
|
| D.F | 1 |
0%
|
|
| DF | 8 |
0.4%
|
|
| DISTRITO FEDERAL | 3 |
0.1%
|
|
| De México | 5 |
0.2%
|
|
| De mexico | 2 |
0.1%
|
|
| Df | 7 |
0.3%
|
|
| Distrito | 1 |
0%
|
|
| Distrito Federal | 23 |
1.1%
|
|
| Distrito federal | 5 |
0.2%
|
|
| Durango | 11 |
0.5%
|
|
| EDO MEXICO | 1 |
0%
|
|
| EDOMEX | 1 |
0%
|
|
| ESTADO DE MEXICO | 8 |
0.4%
|
|
| ESTADO DE MÉXICO | 4 |
0.2%
|
|
| Ecatepec | 6 |
0.3%
|
|
| Edo México | 2 |
0.1%
|
|
| Edo de mexico | 1 |
0%
|
|
| Edo mex | 2 |
0.1%
|
|
| Edo. De México | 1 |
0%
|
|
| Edo. de México | 2 |
0.1%
|
|
| EdoMex | 1 |
0%
|
|
| Edomex | 5 |
0.2%
|
|
| Eso Mexico | 1 |
0%
|
|
| Eso de México | 1 |
0%
|
|
| Estado | 4 |
0.2%
|
|
| Estado De Mexico | 1 |
0%
|
|
| Estado México | 2 |
0.1%
|
|
| Estado de Mexico | 15 |
0.7%
|
|
| Estado de México | 206 |
10.1%
|
|
| Estado de mexico | 13 |
0.6%
|
|
| Estado/Provincia/Región | 1 |
0%
|
|
| Estádo de México | 2 |
0.1%
|
|
| FL | 1 |
0%
|
|
| Federal District | 1 |
0%
|
|
| Federal District of Mexico | 1 |
0%
|
|
| GAM | 1 |
0%
|
|
| GT | 1 |
0%
|
|
| GTO | 1 |
0%
|
|
| GUANAJUATO | 7 |
0.3%
|
|
| GUERRERO | 1 |
0%
|
|
| Gam | 1 |
0%
|
|
| Gironde | 1 |
0%
|
|
| Gto | 1 |
0%
|
|
| Guanajuato | 47 |
2.3%
|
|
| Guatemala | 3 |
0.1%
|
|
| Guerrero | 9 |
0.4%
|
|
| Gustavo A Madero | 1 |
0%
|
|
| Gustavo A. Madero | 1 |
0%
|
|
| HG | 1 |
0%
|
|
| HIDALGO | 1 |
0%
|
|
| Hidalgo | 22 |
1.1%
|
|
| Illes Balears | 1 |
0%
|
|
| Illinois | 1 |
0%
|
|
| Indiana | 1 |
0%
|
|
| Ixtapaluca | 2 |
0.1%
|
|
| Iztacalco | 3 |
0.1%
|
|
| Iztapalapa | 8 |
0.4%
|
|
| JA | 1 |
0%
|
|
| JALISCO | 5 |
0.2%
|
|
| JAMAICA | 1 |
0%
|
|
| Jalisco | 70 |
3.4%
|
|
| La guajira | 1 |
0%
|
|
| Lerma | 1 |
0%
|
|
| Lima | 2 |
0.1%
|
|
| Loja | 1 |
0%
|
|
| MEX | 4 |
0.2%
|
|
| MEXICO | 9 |
0.4%
|
|
| MEXICO CITY | 1 |
0%
|
|
| MORELOS | 2 |
0.1%
|
|
| MX-CMX | 1 |
0%
|
|
| Madrid | 1 |
0%
|
|
| Metropolitana | 1 |
0%
|
|
| Mexico | 59 |
2.9%
|
|
| Mexico State | 1 |
0%
|
|
| Michoacaan | 1 |
0%
|
|
| Michoacan | 4 |
0.2%
|
|
| Michoacán | 15 |
0.7%
|
|
| Minnesota | 1 |
0%
|
|
| Moquegua | 1 |
0%
|
|
| Morelos | 22 |
1.1%
|
|
| Médico | 1 |
0%
|
|
| Méx. | 2 |
0.1%
|
|
| México | 162 |
8%
|
|
| MÉXICO | 3 |
0.1%
|
|
| NEZAHUALCOYOTL | 1 |
0%
|
|
| NSW | 1 |
0%
|
|
| NUEVO LEON | 2 |
0.1%
|
|
| NUEVO LEÓN | 1 |
0%
|
|
| Nayarit | 3 |
0.1%
|
|
| Nezahualcoyotl | 1 |
0%
|
|
| Nicolás Romero | 1 |
0%
|
|
| Norte | 1 |
0%
|
|
| North Carolina | 1 |
0%
|
|
| Nuevo | 1 |
0%
|
|
| Nuevo Leon | 13 |
0.6%
|
|
| Nuevo León | 27 |
1.3%
|
|
| Nuevo leon | 4 |
0.2%
|
|
| Nuevo león | 1 |
0%
|
|
| Oaxaca | 13 |
0.6%
|
|
| Oregon | 1 |
0%
|
|
| PUEBLA | 5 |
0.2%
|
|
| Perú | 1 |
0%
|
|
| Pichincha | 1 |
0%
|
|
| Pue. | 2 |
0.1%
|
|
| Puebla | 70 |
3.4%
|
|
| Puebla* | 1 |
0%
|
|
| Puerto Rico | 1 |
0%
|
|
| Puébla | 1 |
0%
|
|
| QUERETARO | 1 |
0%
|
|
| QUERÉTARO | 2 |
0.1%
|
|
| Queensland | 1 |
0%
|
|
| Queretaro | 7 |
0.3%
|
|
| Querétaro | 22 |
1.1%
|
|
| Quintana ROO | 1 |
0%
|
|
| Quintana Roo | 5 |
0.2%
|
|
| Quintana roo | 4 |
0.2%
|
|
| Renania del Norte- Westfalia | 1 |
0%
|
|
| S.L.P. | 2 |
0.1%
|
|
| SALAMANCA | 1 |
0%
|
|
| SAN LUIS POTOSI | 2 |
0.1%
|
|
| SAN Luis Potosà | 1 |
0%
|
|
| SINALOA | 2 |
0.1%
|
|
| SONORA | 4 |
0.2%
|
|
| San Juan del Rio | 1 |
0%
|
|
| San Luis Potosi | 3 |
0.1%
|
|
| San Luis Potosà | 19 |
0.9%
|
|
| San LuisPotosà | 1 |
0%
|
|
| San luis Potosà | 2 |
0.1%
|
|
| San luis potosi | 1 |
0%
|
|
| Santander | 1 |
0%
|
|
| Sevilla | 1 |
0%
|
|
| Sinaloa | 6 |
0.3%
|
|
| Slp | 1 |
0%
|
|
| Sonora | 12 |
0.6%
|
|
| State | 1 |
0%
|
|
| TEXAS | 1 |
0%
|
|
| Tabasco | 7 |
0.3%
|
|
| Tacna | 2 |
0.1%
|
|
| Tamaulipas | 11 |
0.5%
|
|
| Tecámac | 1 |
0%
|
|
| Texas | 5 |
0.2%
|
|
| Tlahuac | 1 |
0%
|
|
| Tlalnepantla | 1 |
0%
|
|
| Tlax. | 1 |
0%
|
|
| Tlaxcala | 19 |
0.9%
|
|
| Toluca | 1 |
0%
|
|
| Toluca, Edo de México | 1 |
0%
|
|
| USA | 1 |
0%
|
|
| Ucayali | 1 |
0%
|
|
| VERACRUZ | 3 |
0.1%
|
|
| Valle | 1 |
0%
|
|
| Valle de Chalco | 2 |
0.1%
|
|
| Venustiano Carranza | 1 |
0%
|
|
| Ver. | 2 |
0.1%
|
|
| Veracruz | 22 |
1.1%
|
|
| Viuda | 1 |
0%
|
|
| Xochimilco | 1 |
0%
|
|
| YUCATAN | 1 |
0%
|
|
| Yucatan | 3 |
0.1%
|
|
| Yucatán | 7 |
0.3%
|
|
| Yvelines | 1 |
0%
|
|
| Zacate as | 1 |
0%
|
|
| Zacatecas | 4 |
0.2%
|
|
| altos pirineos | 1 |
0%
|
|
| baja california | 1 |
0%
|
|
| cdmx | 11 |
0.5%
|
|
| chihuahua | 2 |
0.1%
|
|
| ciudad de México | 2 |
0.1%
|
|
| ciudad de mexico | 3 |
0.1%
|
|
| ciudad de méxico | 3 |
0.1%
|
|
| df | 1 |
0%
|
|
| estado de México | 4 |
0.2%
|
|
| estado de mexico | 7 |
0.3%
|
|
| guanajuato | 1 |
0%
|
|
| guanjuato | 1 |
0%
|
|
| gustavo a madero | 1 |
0%
|
|
| hidalgo | 1 |
0%
|
|
| jalisco | 4 |
0.2%
|
|
| mexico | 6 |
0.3%
|
|
| morelos | 1 |
0%
|
|
| méxico | 1 |
0%
|
|
| nl | 1 |
0%
|
|
| nuevo León | 1 |
0%
|
|
| nuevo leon | 1 |
0%
|
|
| puebla | 2 |
0.1%
|
|
| san luis potosi | 1 |
0%
|
|
| sonora | 1 |
0%
|
|
| tlalnepantla | 1 |
0%
|
|
| tolima | 1 |
0%
|
|
| veracruz | 1 |
0%
|
|
| viena | 1 |
0%
|
|
| yucatan | 1 |
0%
|
|
| Ãlvaro Obregón | 1 |
0%
|
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.