Flag Colombia

Page last updated

April 2014

 

Changes to the Colombia PAT are detailed in the PAT Changelog.


PAT Survey

Sept 2012- Eng
Sept 2012- Esp

(English - .XLS)
Download (Español - .XLS)

PAT Data Entry Template

Sept 2012 - Eng
Sept 2014- Esp

(English - .ZIP; open within Epi Info)
download (Español - .ZIP; open within Epi Info)

User guide

April 2010

(PDF)


Tool Information

 

Poverty line used for MRR reporting:

Median National Poverty Line

Value of poverty line used for MRR reporting in local currency:

Area Monthly income equivalent to the “median national poverty line,” below which the poorest 50% of those living under the poverty line live
(Pesos per person per month as of April 2007)
Medellin -181,562
Barranquilla - 154,781
Bogota and Neiva - 164,624
Cartagena - 116,764
Manizales - 182,220
Monteria - 137,692
Villavicencio - 195,377
Pasto - 114,728
Cucuta -149,435
Pereira - 186,541
Bucaramanga - 202,131
Cali - 167,611
Other Urban - 133,193
Rural - 92,298

Other poverty lines*:

Area Monthly income equivalent to the “national poverty line”
(Pesos per person per month as of July 2003
Medellin - 148,583
Barranquilla - 126,667
Bogota and Neiva - 134,722
Cartagena - 95,555
Manizales - 149,122
Monteria - 112,682
Villavicencio - 159,889
Pasto - 93,889
Cucuta - 122,292
Pereira - 152,658
Bucaramanga - 165,417
Cali - 137,167
Other Urban - 109,000
Rural - 75,533

Original source survey:

2003 Encuesta de Calidad de Vida (ECV)

Certification document:

(.PDF)

* The data analysis program in most PATs allows for comparisons against multiple poverty lines. In some cases, these poverty lines vary by region: a household in region A with a calculated household expenditure of X might fall below a poverty line while a household in a different region with the same expenditure might fall above that same poverty line.

** PATs developed using CSPro give automatic poverty comparisions by a number of variables so users can, for example, compare the poverty rates among regions or gender of the head of household. Such results are INDICATIVE and are only statistically valid for samples that are of appropriate size and distribution for that sub-population.

 

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represent the views or positions of the U.S. Agency for International Development or the U.S. Government.