Table 11.
Undercounting estimates and specificity of correction approaches for mortality data by country
| Country | Year | National % Undercountinga | Correction | Source |
|---|---|---|---|---|
| Argentina | 2013 | 1.3% | Blanket correction | UNDP |
| Brazil | 2013 | 0% | L2 and sex-specific correction | Campos de Lima and Queirozb |
| Chile | 2013 | 0% | Blanket correction | UNDP |
| Colombia | 2012 | 23.8% | Department, age, and sex-specific correction | DANEc |
| Costa Rica | 2013 | 12.8% | Blanket correction | UNDP |
| El Salvador | 2012 | 16.4% | Blanket correction | UNDP |
| Guatemala | 2013 | 8% | Blanket correction | UNDP |
| Mexico | 2013 | − 0.8% | Blanket correction | UNDP |
| Panama | 2013 | 6.8% | Blanket correction | UNDP |
| Peru | 2013 | 38.3% | Department, age, and sex-specific correction | MINSAd |
aNational undercounting estimates come from the WHO methods and data sources for life tables 1990–2015 May 2016 update
bCampos de Lima EE, Queiroz BL. Evolution of the deaths registry system in Brazil: associations with changes in the mortality profile, under-registration of death counts, and ill-defined causes of death. Cadernos de Saúde Pública. 2014;30:1721–30
cDepartamento Administrativo Nacional de Estadística, Colombia
dMinistry of Health of Peru http://bvs.minsa.gob.pe/local/minsa/2722.pdf
Note: Nicaragua mortality data at the necessary geographic level are not currently available to the SALURBAL study