Codes and Frequencies
Most IPUMS data transformations are performed using variable harmonization tables that specify how each value in the source data is recoded. Some variables also require programming logic in addition to the harmonization table. The harmonization documents for this variable are:
GEO2_MX identifies the household's municipio within Mexico in all sample years. Municipios are the second level administrative units of the country, after state. GEO2_MX is spatially harmonized to account for political boundary changes across census years. Some detail is lost in harmonization; see the comparability discussion. A GIS map (in shapefile format), corresponding to GEO2_MX can be downloaded from the GIS Boundary files page in the IPUMS International web site.
The full set of geography variables for Mexico can be found in the IPUMS International Geography variables list. For cross-national geographic analysis on the first and second major administrative level of any country refer to GEOLEV1, and GEOLEV2. More information on IPUMS-International geography can be found here.
Comparability — General
Where boundaries changed over time, units were harmonized to create units with boundaries that remain stable over time. Boundary changes for GEO2_MX are too numerous to list here, but users should be aware that there were changes over time.
The 1995 Mexico sample is a stratified cluster design; stratified geographically by similar socio-economic characteristics. The sample weights are designed to yield proper counts at the state level, but the clustering of the underlying data may affect their representativeness at the municipality level. Because of this stratified cluster design, the 1995 Mexico sample has only a little above 650 municipalities compared to more than 2400 municipalities in 1990.
- All households
- Mexico: 1960, 1970, 1990, 1995, 2000, 2005, 2005Q1, 2005Q2, 2005Q3, 2005Q4, 2006Q1, 2006Q2, 2006Q3, 2006Q4, 2007Q1, 2007Q2, 2007Q3, 2007Q4, 2008Q1, 2008Q2, 2008Q3, 2008Q4, 2009Q1, 2009Q2, 2009Q3, 2009Q4, 2010, 2010Q1, 2010Q2, 2010Q3, 2010Q4, 2011Q1, 2011Q2, 2011Q3, 2011Q4, 2012Q1, 2012Q2, 2012Q3, 2012Q4, 2013Q1, 2013Q2, 2013Q3, 2013Q4, 2014Q1, 2014Q2, 2014Q3, 2014Q4, 2015, 2015Q1, 2015Q2, 2015Q3, 2015Q4, 2016Q1, 2016Q2, 2016Q3, 2016Q4, 2017Q1, 2017Q2, 2017Q3, 2017Q4, 2018Q1, 2018Q2, 2018Q3, 2018Q4, 2019Q1, 2019Q2, 2019Q3, 2019Q4, 2020Q1, 2020Q3