This package parses most of the output from the DHS API. Overall, these are helper functions to load in data about indicators and codebooks for the DHS data sets.
In R:
if (!("devtools" %in% installed.packages)){
install.packages("devtools")
}
devtools::install_github("muschellij2/dhs")After installation, you can load the library and get the list of countries/surveys from DHS:
library(dhs)
head(dhs_countries())## UNAIDS_CountryCode SubregionName WHO_CountryCode FIPS_CountryCode
## 1 AFG South Asia AF AF
## 2 ALB Southern Europe AL AL
## 3 AGO Middle Africa AO AO
## 4 ARM West Asia AM AM
## 5 AZE West Asia AZ AJ
## 6 BGD South Asia BD BG
## ISO2_CountryCode ISO3_CountryCode RegionOrder DHS_CountryCode
## 1 AF AFG 41 AF
## 2 AL ALB 24 AL
## 3 AO AGO 12 AO
## 4 AM ARM 26 AM
## 5 AZ AZE 26 AZ
## 6 BD BGD 41 BD
## CountryName UNICEF_CountryCode UNSTAT_CountryCode
## 1 Afghanistan AFG AFG
## 2 Albania ALB ALB
## 3 Angola ANG AGO
## 4 Armenia ARM ARM
## 5 Azerbaijan AZE AZE
## 6 Bangladesh BAN BGD
## RegionName
## 1 South & Southeast Asia
## 2 North Africa/West Asia/Europe
## 3 Sub-Saharan Africa
## 4 North Africa/West Asia/Europe
## 5 North Africa/West Asia/Europe
## 6 South & Southeast Asia
head(dhs_surveys())## ReleaseDate SurveyId MaxAgeWomen FieldworkStart MinAgeMen
## 1 2017-02-15 AF2015DHS 49 2015-06-01 15
## 2 AL2002RHS 2002-08-01
## 3 2010-03-15 AL2008DHS 49 2008-10-01 15
## 4 2008-02-27 AO2006MIS 49 2006-11-01
## 5 2012-01-24 AO2011MIS 49 2011-01-01
## 6 2017-06-30 AO2015DHS 49 2015-11-01 15
## ImplementingOrg
## 1 Central Statistics Organization (CSO) and Ministry of Public Health (MoPH)
## 2
## 3 Institute of Statistics (INSTAT) and Institute of Public Health (IShP)
## 4 COSEP, CONSAÚDE
## 5 CONSAÚDE and COSEP
## 6 Instituto Nacional de Estatistica (INE)
## SurveyCharacteristicIds
## 1 92, 39, 6, 1, 79, 31, 14, 57, 8, 34, 17, 22, 20, 24, 21, 13, 36, 59, 3, 11, 26
## 2
## 3 33, 10, 43, 41, 31, 22, 26, 24, 21, 59, 11, 34, 60, 14, 32, 16, 86, 69, 3, 67, 70, 79, 20, 85, 93
## 4 8, 41, 57, 36, 68, 63, 61, 26, 79, 89
## 5 79, 90, 41, 26, 57, 8, 17, 89
## 6 91, 15, 59, 33, 31, 22, 32, 26, 24, 21, 14, 57, 8, 20, 17, 34, 5, 6, 60, 3, 69, 79, 23, 41, 10, 70, 11, 1, 89, 85
## SurveyType SurveyYearLabel IndicatorData MinAgeWomen SurveyYear
## 1 DHS 2015 1 15 2015
## 2 RHS 2002 1 2002
## 3 DHS 2008-09 1 15 2008
## 4 MIS 2006-07 1 15 2006
## 5 MIS 2011 1 15 2011
## 6 DHS 2015-16 1 15 2015
## FieldworkEnd DHS_CountryCode NumberOfSamplePoints CountryName
## 1 2016-02-01 AF 950 Afghanistan
## 2 2002-12-01 AL Albania
## 3 2009-04-01 AL 450 Albania
## 4 2007-04-01 AO 120 Angola
## 5 2011-05-01 AO 320 Angola
## 6 2016-02-01 AO 627 Angola
## NumberOfWomen SubregionName MaxAgeMen SurveyNum SurveyStatus
## 1 29461 South Asia 49 471 Completed
## 2 Southern Europe 378 Completed
## 3 7584 Southern Europe 49 327 Completed
## 4 2973 Middle Africa 282 Completed
## 5 8589 Middle Africa 395 Completed
## 6 14379 Middle Africa 54 477 Completed
## NumberOfFacilities UniverseOfMen RegionName
## 1 Ever Married Men South & Southeast Asia
## 2 North Africa/West Asia/Europe
## 3 All Men North Africa/West Asia/Europe
## 4 Sub-Saharan Africa
## 5 Sub-Saharan Africa
## 6 All Men Sub-Saharan Africa
## UniverseOfWomen Footnotes PublicationDate NumberofHouseholds
## 1 Ever Married Women 2017-01-01 24395
## 2 CDC-RHS survey
## 3 All Women 2010-03-01 7999
## 4 All Women 2007-11-01 2599
## 5 All Women 2011-12-01 8030
## 6 All Women 2017-06-01 16109
## NumberOfMen
## 1 10760
## 2
## 3 3013
## 4
## 5
## 6 5684
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