MEX_2021_SEIC_v01_M
Socioeconomic Impact of COVID-19, 2021
Name | Country code |
---|---|
Mexico | MEX |
Sample Frame, Households [sf/hh]
Sample survey data [ssd]
Household
v2.1: Edited, cleaned and anonymised data.
The scope includes:
Topic |
---|
Health |
Livelihood and Social cohesion |
Health and Nutrition |
Food security |
Southern Mexico, Mexico City, Northern and Central Mexico
Name |
---|
UNHCR |
The ProGres database served as the sampling frame due to the unavailability of other reliable sources. Likewise, the sample was stratified by location and population groups based on country of origin helping to account for the different economic realities from one part of the country to another, as well as differences between nationalities. Following discussion with the UNHCR country team and regional bureau, three geographic regions were presented for consideration : a) Southern Mexico; b) Mexico City; and c) the Northern and Central Industrial Corridor. Additionally, partners expressed interest in the Venezuelan community as a separate group, primarily residing in Mexico City, Monterrey and Cancun. The population of the four groups represents 67% of the active registered refugees in Mexico. Out of the 35,140 refugee households in the four regions, 26,688 families have at least one phone number representing an overall high rate of phone penetration. Across regions of interest, Hondurans make up the single largest group of PoC in Southern Mexico (38%), and the Northern and Central Industrial Corridor (43%), whereas Venezuelans make up over half of the PoC population in Mexico City (52%). Based on the above, a sampling strategy based on four separate strata was proposed in order to adequately represent the regions and sub-groups of interest: 1. Southern Mexico – Honduran and El Salvadoran PoC population 2. Mexico City – Honduran, El Salvadoran and Cuban PoC population 3. Northern and Central Industrial Corridor – Hondurans and El Salvadoran PoC population 4. Venezuelan Population – Mexico City, Monterey (Nuevo Leon) and Cancun (Quintana Roo) A comparable sub-sample of the national population in the same locations PoC were sampled was also generated using random digit dialing (RDD). This was made possible through the inclusion of location-based area codes in the list of phone numbers, however selected participants were also asked about their current location as a first filter to proceed with the phone survey to ensure a comparable national sub-sample.
Post-hoc weights were generated for the PoC sample based on observable characteristics to ensure representativeness to the sample frame (i.e. ProGres), as were weights to account for attrition across survey rounds.
Questionnaire contained the following sections: consent, knowledge, behaviour, access, employment, income, food security, concerns, resilience, networks, demographics
Start | End |
---|---|
2021-02-16 | 2021-09-13 |
Name |
---|
UNHCR |
Innovations for Poverty Action (IPA) |
United Nations Refugee Agency Microdata Library
https://microdata.unhcr.org/index.php/catalog/643
Original Archive Study ID: UNHCR_MEX_2021_SEIC_v2.1
Cost: None
UNHCR (2022). Mexico: Socioeconomic Impact of COVID-19, 2021. Accessed from: https://microdata.unhcr.org
Name | Affiliation | |
---|---|---|
Curation team | UNHCR | microdata@unhcr.org |
DDI_MEX_2021_SEIC_v01_M
Name | Affiliation | Role |
---|---|---|
UNHCR | ||
Development Data Group | World Bank | Metadata adapted for World Bank Microdata Library |
2022-03-22
Version 1 (December 2022). This version is identical to UNHCR DDI ID: UNHCR_MEX_2021_SEIC_v2.1, except the following edits were made:
-Document ID and Survey ID,
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