Codes and Frequencies
An 'X' indicates the category is available for that sample
| Code | Label |
mexico
1960
|
mexico
1970
|
mexico
1990
|
mexico
1995
|
mexico
2000
|
mexico
2005
|
mexico
2010
|
mexico
2015
|
mexico
2020
|
|---|---|---|---|---|---|---|---|---|---|---|
| 484001 | Aguascalientes | X | X | X | X | X | X | X | X | X |
| 484002 | Baja California | X | X | X | X | X | X | X | X | X |
| 484003 | Baja California Sur | X | X | X | X | X | X | X | X | X |
| 484004 | Campeche | X | X | X | X | X | X | X | X | X |
| 484005 | Coahuila de Zaragoza | X | X | X | X | X | X | X | X | X |
| 484006 | Colima | X | X | X | X | X | X | X | X | X |
| 484007 | Chiapas | X | X | X | X | X | X | X | X | X |
| 484008 | Chihuahua | X | X | X | X | X | X | X | X | X |
| 484009 | Distrito Federal | X | X | X | X | X | X | X | X | X |
| 484010 | Durango | X | X | X | X | X | X | X | X | X |
| 484011 | Guanajuato | X | X | X | X | X | X | X | X | X |
| 484012 | Guerrero | X | X | X | X | X | X | X | X | X |
| 484013 | Hidalgo | X | X | X | X | X | X | X | X | X |
| 484014 | Jalisco | X | X | X | X | X | X | X | X | X |
| 484015 | México | X | X | X | X | X | X | X | X | X |
| 484016 | Michoacán de Ocampo | X | X | X | X | X | X | X | X | X |
| 484017 | Morelos | X | X | X | X | X | X | X | X | X |
| 484018 | Nayarit | X | X | X | X | X | X | X | X | X |
| 484019 | Nuevo León | X | X | X | X | X | X | X | X | X |
| 484020 | Oaxaca | X | X | X | X | X | X | X | X | X |
| 484021 | Puebla | X | X | X | X | X | X | X | X | X |
| 484022 | Querétaro | X | X | X | X | X | X | X | X | X |
| 484023 | Quintana Roo | X | X | X | X | X | X | X | X | X |
| 484024 | San Luis Potosí | X | X | X | X | X | X | X | X | X |
| 484025 | Sinaloa | X | X | X | X | X | X | X | X | X |
| Code | Label |
mexico
1960
|
mexico
1970
|
mexico
1990
|
mexico
1995
|
mexico
2000
|
mexico
2005
|
mexico
2010
|
mexico
2015
|
mexico
2020
|
| 484026 | Sonora | X | X | X | X | X | X | X | X | X |
| 484027 | Tabasco | X | X | X | X | X | X | X | X | X |
| 484028 | Tamaulipas | X | X | X | X | X | X | X | X | X |
| 484029 | Tlaxcala | X | X | X | X | X | X | X | X | X |
| 484030 | Veracruz de Ignacio de la Llave | X | X | X | X | X | X | X | X | X |
| 484031 | Yucatán | X | X | X | X | X | X | X | X | X |
| 484032 | Zacatecas | X | X | X | X | X | X | X | X | X |
Can't find the category you are looking for? Try the Detailed codes
Explore how IPUMS created this variable
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:
- Harmonization table
- No supplemental programming
- Instructions for interpreting harmonization documents
Description
GEO1_MX identifies the household's state within Mexico in all sample years. States are the first level administrative units of the country. GEO1_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 GEO1_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.
Universe
- All households
Availability
- 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, 2020, 2020Q1, 2020Q3
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