ppitables: Lookup Tables to Generate Poverty Likelihoods and Rates using the Poverty Probability Index (PPI)
Lookup tables for estimating the likelihood of poverty using the Poverty Probability Index (previously called Progress out of Poverty Index) or PPI from country-specific indicators collected from cross-sectional surveys. These lookup tables are extracted from documentation of the PPI found at https://www.povertyindex.org.
Installation
You can install ppitables from CRAN with:
install.packages("ppitables")You can install the current development version from the Katilingban R-universe:
install.packages(
"ppitables",
c('https://nutriverse.r-universe.dev', 'https://cloud.r-project.org')
)Usage
The ppitables package contains PPI lookup tables for the 61 countries1 where PPI can currently be calculated. To be able to use the lookup tables in ppitables appropriately, you need to be aware of the naming syntax used for the tables for each country. The name for each table will always have three fixed or constant components as follows:
ppiXXXYYYYThe name of any of the PPI tables contains:
-
ppiin lower case letters; -
XXXwhich is the the three letterISO codeof the country of interest (all capitals); and, -
YYYYwhich is the specific year at which the country PPI table was released.
These three components are joined together without any spaces or gaps.
Some country lookup tables may have additional components to their name which are added after the year separated with an underscore. These usually signify that a lookup table released on a particular year has a subset table in which the poverty likelihoods for a given PPI score are reported based on a different poverty definition or cut-off. This additional component to the table name is usually a character value or alphanumeric and is usually country-specific. To know more about what this additional component to some PPI tables refer to, read the index table below of the PPI tables available in this package.
Following are the available PPI country tables from the ppitables package. This is updated as at 11 April 2023 using information from the PPI site.
List of PPI country tables
| PPI Country Table Name | Description | PPI Release Year | |
|---|---|---|---|
|
|
ppiAFG2012
|
PPI for Afghanistan based on 2007/8 National Risk and Vulnerability Survey (NRVA) | 2012 |
|
|
ppiAGO2015
|
PPI for Angola based on the 2008/2009 Household Living Standards Survey | 2015 |
|
|
ppiBEN2012
|
PPI for Benin based on 2010 data | 2012 |
ppiBEN2022_11q
|
PPI for Benin based on 2018/9 Enquete Harmonisée sur le Conditions de Vie des Ménages (EHCVM) and using an 11 question score card | 2022 | |
ppiBEN2022_6q
|
PPI for Benin based on 2018/9 Enquete Harmonisée sur le Conditions de Vie des Ménages (EHCVM) and using a 6 question score card | 2022 | |
|
|
ppiBFA2011
|
PPI for Burkina Faso using Burkina Faso’s 2003 Household Living Standards Survey | 2011 |
ppiBFA2014
|
PPI for Burkina Faso using Burkina Faso’s 2014 Permanent Multi-Sector Survey | 2017 | |
ppiBFA2017
|
PPI for Burkina Faso using Burkina Faso’s 2014 Enquête Multisectorielle Continue (EMC) based on IPA’s new approach to PPI calculation | 2017 | |
ppiBFA2023
|
PPI for Burkina FASO based on data from 2018 Enquête Harmonisée sur le Conditions de Vie des Ménages (EHCVM) | 2023 | |
|
|
ppiBGD2013
|
PPI for Bangladesh using Bangaldesh’s 2010 HIES Survey | 2013 |
|
|
ppiBOL2015
|
PPI for Bolivia using Bolivia’s 2013 Household Survey | 2015 |
ppiBOL2023
|
PPI for Bolivia using data from Encuesta de Hogares 2020 | 2023 | |
|
|
ppiBRA2010
|
PPI for Brazil based on the 2008 PNAD | 2010 |
|
|
ppiCIV2013
|
PPI for Ivory Coast using the Ivory Coast’s 2008 Household Living Standards Survey | 2013 |
ppiCIV2018
|
PPI for Ivory Coast using the Ivory Coast’s 2015 Enquête sur le Niveau de Vie des Ménages | 2018 | |
|
|
ppiCMR2013
|
PPI for Cameroon using Cameroon’s 2007 Household Survey | 2013 |
|
|
ppiCOL2012
|
PPI for Colombia based on Colombia’s 2009 Encuesta Integrada de Hogares. This table uses the old poverty definitions. | 2012 |
ppiCOL2012_a
|
PPI for Colombia based on Colombia’s 2009 Encuesta Integrada de Hogares. This table uses the new poverty definitions for Colombia. | 2012 | |
ppiCOL2018
|
PPI for Colombia based on Colombia’s 2016 Gran Encuesta Integrada de Hogares (GEIH) | 2018 | |
|
|
ppiDOM2010
|
PPI for Dominican Republic based on the 2007 Encuesta Nacional de Ingresos y Gastos de los Hogares (ENIGH) | 2010 |
ppiDOM2018
|
PPI for Dominican Republic based on the 2016 Encuesta Nacional de Fuerza de Trabajo (ENFT) | 2018 | |
|
|
ppiECU2015
|
PPI for Ecuador based on the 2013 Living Standards Survey | 2015 |
ppiECU2022
|
PPI for Ecuador based on data from the Encuesta Nacional de Empleo, Desempleo y Subempleo (ENEMDU) from 2019, 2020 and 2021 | 2022 | |
|
|
ppiEGY2010
|
PPI for Egypt based on the 2004/5 HIECS | 2010 |
|
|
ppiETH2016
|
PPI for Ethiopia based on Ethiopia’s 2010/11 Household Consumption and Expenditure Survey | 2016 |
ppiETH2023
|
PPI for Ethiopia based on data from the Socioeconomic Survey 2018/2019” | 2023 | |
|
|
ppiFJI2014
|
PPI for Fiji based on Fiji’s 2008/9 Household Income and Expenditure Survey | 2014 |
|
|
ppiGHA2015
|
PPI for Ghana based on Ghana’s 2012/13 Living Standards Survey using legacy poverty lines | 2015 |
ppiGHA2015_a
|
PPI for Ghana based on Ghana’s 2012/13 Living Standards Survey using the new-definition poverty lines deflated with Ghana’s CPI | 2015 | |
ppiGHA2015_b
|
PPI for Ghana based on Ghana’s 2012/13 Living Standards Survey using the new-definition poverty lines deflated with the change in 100% of national poverty line | 2015 | |
ppiGHA2019
|
PPI for Ghana based on Ghana’s 2016/2017 Living Standards Survey | 2019 | |
|
|
ppiGTM2016
|
PPI for Guatemala based on Guatemala’s 2014 Household Living Standards Survey | 2016 |
ppiGTM2023
|
PPI for Guatemala based on data from Encuesta Nacional de Empleo e Ingresos of 2021 | 2023 | |
|
|
ppiHND2010
|
PPI for Honduras based on the 2007 EPHPM | 2010 |
ppiHND2023
|
PPI for Honduras based on data from the Encuesta Permanente de Hogares de Propósitos Múltiples (EPHPM) 2019 | 2023 | |
|
|
ppiHTI2016
|
PPI for Haiti based on Haiti’s 2012 Post-Earthquake Living Standards Survey | 2016 |
|
|
ppiIDN2012
|
PPI for Indonesia based on data from 2010 using legacy poverty lines | 2012 |
ppiIDN2012_a
|
PPI for Indonesia based on data from 2010 using new definition poverty lines | 2012 | |
ppiIDN2020
|
PPI for Indonesia based on data from Indonesia’s SUSENA 2016 | 2020 | |
ppiIDN2023
|
PPI for Indonesia based on data from the 2022 National Socioeconomic Survey (SUSENAS) | 2023 | |
|
|
ppiIND2016_r59
|
PPI for India using India’s 2011/12 Socio-Economic using the R59 legacy poverty lines using MRP consumption | 2016 |
ppiIND2016_r62
|
PPI for India using India’s 2011/12 Socio-Economic using the R59 legacy poverty lines using MRP consumption | 2016 | |
ppiIND2016_r66
|
PPI for India using India’s 2011/12 Socio-Economic using the R66 legacy poverty lines using MRP consumption | 2016 | |
ppiIND2016_r68
|
PPI for India using India’s 2011/12 Socio-Economic using the R68 new poverty lines using MRP consumption | 2016 | |
|
|
ppiJOR2010
|
PPI for Jordan using Jordan’s 2006 Household Income and Expenditure Survey | 2010 |
|
|
ppiKEN2011
|
PPI for Kenya using Kenya’s 2005/06 Integrated Household Budget Survey | 2011 |
ppiKEN2018
|
PPI for Kenya using Kenya’s 2015 Integrated Household Budget Survey | 2018 | |
|
|
ppiKGZ2015
|
PPI for Kyrgyzstan Kyrgyz Republic’s 2012 Integrated Household Survey | 2015 |
|
|
ppiKHM2105
|
PPI for Cambodia using Cambodia’s 2011 Socio-Economic Survey based using legacy poverty lines | 2015 |
ppiKHM2015_gov
|
PPI for Cambodia using Cambodia’s 2011 Socio-Economic Survey based using government definition poverty lines | 2015 | |
ppiKHM2015_wb
|
PPI for Cambodia using Cambodia’s 2011 Socio-Economic Survey based using World Bank definition poverty lines | 2015 | |
ppiKHM2023
|
PPI for Cambodia using data from 2020 Living Standards Measurement Study - Plus (LSMS+) | 2023 | |
|
|
ppiLKA2016
|
PPI for Sri Lanka using Sri Lanka’s 2012/13 Household Income and Expenditure Survey | 2016 |
|
|
ppiMAR2013
|
PPI for Morocco based on Morocco’s 2007 Households Living Standards Survey | 2013 |
|
|
ppiMDG2015
|
PPI for Madagascar based on Madagascar’s 2010 Periodic Household Survey | 2015 |
|
|
ppiMEX2017
|
PPI for Mexico based on Mexico’s Encuesta Nacional de Ingresos y Gastos de los Hogares de 2014 using legacy definitions of poverty | 2017 |
ppiMEX2017_a
|
PPI for Mexico based on Mexico’s Encuesta Nacional de Ingresos y Gastos de los Hogares de 2014 using new definitions of poverty | 2017 | |
|
|
ppiMLI2010
|
PPI for Mali based on Mali’s 2001 Poverty Evaluation Survey | 2010 |
|
|
ppiMMR2012
|
PPI for Myanmar based on Myanmar’s 2009/10 Integrated Household Living Conditions Assessment | 2012 |
ppiMMR2019
|
PPI for Myanmar based on Myanmar’s 2015 Poverty and Living Conditions Survey | 2019 | |
|
|
ppiMNG2016
|
PPI for Mongolia based on Mongolia’s 2014 Household Socio-Economic Survey | 2016 |
|
|
ppiMOZ2013
|
PPI for Mozambique based on 2008/9 Household Budget Survey | 2013 |
ppiMOZ2019
|
PPI for Mozambique based on 2014 Inquerito Sobre Orcamento Familiar (IOF) Survey | 2019 | |
|
|
ppiMWI2015
|
PPI for Malawi based on Malawi’s 2010/11 Integrated Household Survey using legacy poverty definitions | 2015 |
ppiMWI2015_gov
|
PPI for Malawi based on Malawi’s 2010/11 Integrated Household Survey using government poverty definitions | 2015 | |
ppiMWI2015_pbm
|
PPI for Malawi based on Malawi’s 2010/11 Integrated Household Survey using PBM poverty definitions | 2015 | |
ppiMWI2020
|
PPI for Malawi based on Malawi’s 2016-2017 Fourth Integrated Household Survey (IHS4) using new PPI definitions | 2020 | |
ppiMWI2023
|
PPI for Malawi based on data from the Fifth Integrated Household Survey 2019 | 2023 | |
|
|
ppiNAM2013
|
PPI for Namibia based on Namibia’s 2009/10 Household Income and Expenditure Survey | 2013 |
|
|
ppiNER2013
|
PPI for Niger based on Niger’s 2007/8 National Household Budget and Expenditure Survey | 2013 |
|
|
ppiNGA2015
|
PPI for Nigeria based on Nigeria’s 2012/13 General Household Panel Survey | 2015 |
|
|
ppiNIC2013
|
PPI for Nicaragua based on Nicaragua’s 2009 Living Standards Measurement Survey | 2013 |
|
|
ppiNPL2013
|
PPI for Nepal using legacy poverty definition lines | 2013 |
ppiNPL2013_a
|
PPI for Nepal using new poverty definition lines | 2013 | |
|
|
ppiPAK2009
|
PPI for Pakistan using Pakistan 2005/6 Social and Living Standards Measurement Survey | 2009 |
|
|
ppiPER2012
|
PPI for Peru based on Peru’s 2010 National Household Survey | 2012 |
ppiPER2018
|
PPI for Peru based on Peru’s 2016 Encuesta Nacional de Hogares sobre Condiciones de Vida y Pobreza (ENAHO) | 2018 | |
|
|
ppiPHL2014
|
PPI for the Philippines based on Philippines’ 2009 FIES/LFS. | 2014 |
ppiPHL2018
|
PPI for the Philippines based on Philippines’ 2015 Family Income and Expenditure Survey (FIES) | 2018 | |
ppiPHL2023
|
PPI for the Philippines based on data from the 2018 Family Income and Expenditure Survey (FIES) | 2023 | |
|
|
ppiPNG2023
|
PPI for Papua New Guinea based on data from 2016-2018 Demographic and Health Survey (DHS) | 2023 |
|
|
ppiPRY2012
|
PPI for Paraguay based on Paraguay’s 2011 EPH | 2012 |
|
|
ppiPSE2014
|
PPI for Palestine based on Palestine’s 2011 Expenditure and Consumption Survey | 2014 |
|
|
ppiROU2009
|
PPI for Romania based on the 2007 HBS | 2009 |
|
|
ppiRUS2010
|
PPI for Russia based on 2007 HBS | 2010 |
|
|
ppiRWA2016
|
PPI for Rwanda based on Rwanda’s 2010/11 Integrated Household Living Standards Survey | 2016 |
ppiRWA2019
|
PPI for Rwanda based on Rwanda’s 2016/2017 Integrated Household Living Conditions Survey (EICV5) produced by the National Institute of Statistics of Rwanda (NISR) and the Ministry of Finance and Planning | 2019 | |
|
|
ppiSEN2009
|
PPI for Senegal based on Senegal’s 2005/6 Enquête de Suivi de la Pauvreté au Sénégal (ESPS) | 2009 |
ppiSEN2018
|
PPI for Senegal based on Senegal’s 2011 Enquête de Suivi de la Pauvreté au Sénégal (ESPS) | 2018 | |
|
|
ppiSLE2011
|
PPI for Sierra Leone based on Sierra Leone’s 2003/4 HIS | 2011 |
|
|
ppiSLV2010
|
PPI for El Salvador based on the 2008 EHPM | 2010 |
ppiSLV2021
|
PPI for El Salvador based on data from 2019 Encuesta de Hogares de Propósitos Múltiples | 2021 | |
|
|
ppiSYR2010
|
PPI for Syria based on Syria’s 2006/7 Household Income and Expenditure Survey | 2010 |
|
|
ppiTJK2015
|
PPI for Tajikistan based on 2007 data | 2015 |
|
|
ppiTLS2013
|
PPI for Timor Leste based on Timor-Leste’s 2007 Survey of Living Standards | 2013 |
|
|
ppiTZA2016
|
PPI for Tanzania based on Tanzania’s 2011/12 Household Budget Survey | 2016 |
ppiTZA2022
|
PPI for Tanzania based on Tanzania’s 2017/2018 Household Budget Survey | 2022 | |
|
|
ppiTGO2018
|
PPI for Togo based on Togo’s 2015 Questionnaire des Indicateurs de Base du Bien-être (QUIBB) | 2018 |
ppiTGO2023
|
PPI for Togo based on data from the 2018 Enquête Harmonisée sur le Conditions de Vie des Ménages (EHCVM) | 2023 | |
|
|
ppiUGA2015
|
PPI for Uganda based on Uganda’s 2012/13 National Household Survey | 2015 |
ppiUGA2022
|
PPI for Uganda based on Uganda’s 2020 National Household Survey | 2022 | |
|
|
ppiVNM2009
|
PPI for Vietnam based on the 2006 VHLSS | 2009 |
ppiVNM2023
|
PPI for Vietnam based on data from the 2021 Multiple Indicator Cluster Survey | 2023 | |
|
|
ppiYEM2009
|
PPI for Yemen based on 2005/06 HBS | 2009 |
|
|
ppiZAF2009
|
PPI for South Africa based on the 2005/6 IES | 2009 |
ppiZAF2023
|
PPI for South Africa based on data from the 2019 General Household Survey | 2023 | |
|
|
ppiZMB2013_got
|
PPI for Zambia based on Zambia’s 2010 Living Conditions Monitoring Survey (LCMS) using Göttingen poverty definitions | 2013 |
ppiZMB2013_cso
|
PPI for Zambia based on Zambia’s 2010 Living Conditions Monitoring Survey (LCMS) using CSO poverty definitions | 2013 | |
ppiZMB2017
|
PPI for Zambia based on Zambia’s 2015 Living Conditions Monitoring Survey (LCMS) using legacy poverty definitions | 2017 | |
ppiZMB2017_a
|
PPI for Zambia based on Zambia’s 2015 Living Conditions Monitoring Survey (LCMS) using new PPI calculation approach | 2017 |
This list of available PPI country tables can be retrieved in R using the find_table() function. View the complete list using the following command in R:
find_table()
#> # A tibble: 93 × 7
#> region country survey_year release_year description type filename
#> <chr> <chr> <int> <int> <chr> <chr> <chr>
#> 1 Asia Afghan… 2007 2012 PPI for Af… sps ppiAFG2…
#> 2 Africa Angola 2008 2015 PPI for An… sps ppiAGO2…
#> 3 Asia Bangla… 2010 2013 PPI for Be… sps ppiBEN2…
#> 4 Africa Benin 2010 2012 PPI for Ba… sps ppiBGD2…
#> 5 Latin American a… Bolivia 2013 2015 PPI for Bo… sps ppiBOL2…
#> 6 Latin American a… Brazil 2008 2010 PPI for Br… sps ppiBRA2…
#> 7 Africa Burkin… 2003 2011 PPI for Bu… sps ppiBFA2…
#> 8 Africa Burkin… 2014 2017 PPI for Bu… sps ppiBFA2…
#> 9 Africa Burkin… 2014 2017 PPI for Bu… ipa ppiBFA2…
#> 10 Asia Cambod… 2011 2015 PPI for Ca… sps ppiKHM2…
#> # ℹ 83 more rowsView the list of PPI country tables for Africa using the following command in R:
find_table(region = "Africa")
#> # A tibble: 41 × 7
#> region country survey_year release_year description type filename
#> <chr> <chr> <int> <int> <chr> <chr> <chr>
#> 1 Africa Angola 2008 2015 PPI for Angola … sps ppiAGO2…
#> 2 Africa Benin 2010 2012 PPI for Banglad… sps ppiBGD2…
#> 3 Africa Burkina Faso 2003 2011 PPI for Burkina… sps ppiBFA2…
#> 4 Africa Burkina Faso 2014 2017 PPI for Burkina… sps ppiBFA2…
#> 5 Africa Burkina Faso 2014 2017 PPI for Burkina… ipa ppiBFA2…
#> 6 Africa Cameroon 2007 2013 PPI for Cameroo… sps ppiCMR2…
#> 7 Africa Cote d'Ivoire 2008 2013 PPI for Ivory C… sps ppiCIV2…
#> 8 Africa Cote d'Ivoire 2015 2018 PPI for Ivory C… ipa ppiCIV2…
#> 9 Africa Ethiopia 2010 2016 PPI for Ethiopi… sps ppiETH2…
#> 10 Africa Ghana 2012 2015 PPI for Ghana b… sps ppiGHA2…
#> # ℹ 31 more rowsView the list of PPI country tables in Zambia using the the following command in R:
find_table(country = "Zambia")
#> # A tibble: 4 × 7
#> region country survey_year release_year description type filename
#> <chr> <chr> <int> <int> <chr> <chr> <chr>
#> 1 Africa Zambia 2010 2013 PPI for Zambia based o… sps ppiZMB2…
#> 2 Africa Zambia 2010 2013 PPI for Zambia based o… sps ppiZMB2…
#> 3 Africa Zambia 2015 2017 PPI for Zambia based o… sps ppiZMB2…
#> 4 Africa Zambia 2015 2017 PPI for Zambia based o… ipa ppiZMB2…To extract the actual PPI tables, the get_table() function can be used. The get_table() function wraps around the find_table() function to make a search for a specific PPI table and then extracts the table/s and puts them together into a tidy data frame.
For example, to get the actual PPI tables for all countries with PPI tables, the following command can be used in R:
get_table()
#> # A tibble: 96,288 × 7
#> country release_year filename type score poverty_definition ppi
#> <chr> <chr> <chr> <chr> <dbl> <chr> <dbl>
#> 1 Afghanistan 2012 ppiAFG2012 sps 0 nl 100
#> 2 Afghanistan 2012 ppiAFG2012 sps 0 nu150 100
#> 3 Afghanistan 2012 ppiAFG2012 sps 0 nu200 100
#> 4 Afghanistan 2012 ppiAFG2012 sps 0 extreme 100
#> 5 Afghanistan 2012 ppiAFG2012 sps 0 ppp125 100
#> 6 Afghanistan 2012 ppiAFG2012 sps 0 ppp250 100
#> 7 Afghanistan 2012 ppiAFG2012 sps 1 nl 100
#> 8 Afghanistan 2012 ppiAFG2012 sps 1 nu150 100
#> 9 Afghanistan 2012 ppiAFG2012 sps 1 nu200 100
#> 10 Afghanistan 2012 ppiAFG2012 sps 1 extreme 100
#> # ℹ 96,278 more rowsTo get the actual PPI tables for all countries with PPI tables in Africa, the following command can be used in R:
get_table(region = "Africa")
#> # A tibble: 47,322 × 7
#> country release_year filename type score poverty_definition ppi
#> <chr> <chr> <chr> <chr> <dbl> <chr> <dbl>
#> 1 Angola 2015 ppiAGO2015 sps 0 nl100 100
#> 2 Angola 2015 ppiAGO2015 sps 0 nl150 100
#> 3 Angola 2015 ppiAGO2015 sps 0 nl200 100
#> 4 Angola 2015 ppiAGO2015 sps 0 half100 86.5
#> 5 Angola 2015 ppiAGO2015 sps 0 ppp125 100
#> 6 Angola 2015 ppiAGO2015 sps 0 ppp200 100
#> 7 Angola 2015 ppiAGO2015 sps 0 ppp250 100
#> 8 Angola 2015 ppiAGO2015 sps 0 ppp500 100
#> 9 Angola 2015 ppiAGO2015 sps 1 nl100 100
#> 10 Angola 2015 ppiAGO2015 sps 1 nl150 100
#> # ℹ 47,312 more rowsDisclaimer
The ppitables package is an independent development and is separate from and not recognised and approved by the International Poverty Alliance (IPA), the organisation that produces and owns the copyright to the Poverty Probability Index. The author and maintainer of this package is not affiliated with International Poverty Alliance (IPA) but is committed to ensuring that the ppitables package is compliant with the Poverty Probability Index’s terms of use.
Any mistakes, problems and issues with the functionality and outputs of the ppitables package are that of the author and maintainer of the package and not of International Poverty Alliance (IPA). Hence any problems and issues to the usage, functionality and outputs of the ppitables package should be addressed directly to the author and maintainer here.
Citation
If you find the ppitables package useful, please cite using the suggested citation provided by a call to the citation function as follows:
citation("ppitables")
#> To cite ppitables in publications use:
#>
#> Ernest Guevarra (2024). _ppitables: Lookup Tables to Generate Poverty
#> Likelihoods and Rates using the Poverty Probability Index (PPI)_.
#> doi:10.5281/zenodo.4129982 <https://doi.org/10.5281/zenodo.4129982>,
#> R package version 0.5.5, <https://katilingban.io/ppitables/>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> title = {ppitables: Lookup Tables to Generate Poverty Likelihoods and Rates using the Poverty Probability Index (PPI)},
#> author = {{Ernest Guevarra}},
#> year = {2024},
#> note = {R package version 0.5.5},
#> url = {https://katilingban.io/ppitables/},
#> doi = {10.5281/zenodo.4129982},
#> }Community guidelines
Feedback, bug reports and feature requests are welcome; file issues or seek support here. If you would like to contribute to the package, please see our contributing guidelines.
Please note that the ppitables project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.
Notes
1 Only 60 country PPI tables are shown here and available via the package. There is no lookup table for China because the China Poverty Scorecard is an expert-based scorecard. See this for further explanation.