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Description
Lookup Tables to Generate Poverty Likelihoods and Rates using the Poverty Probability Index (PPI)
The Poverty Probability Index (PPI) is a poverty measurement tool for organizations and businesses with a mission to serve the poor. The PPI is statistically-sound, yet simple to use: the answers to 10 questions about a household’s characteristics and asset ownership are scored to compute the likelihood that the household is living below the poverty line – or above by only a narrow margin. This package contains country-specific lookup data tables used as reference to determine the poverty likelihood of a household based on their score from the country-specific PPI questionnaire. These lookup tables have been extracted from documentation of the PPI found at <https://www.povertyindex.org> and managed by Innovations for Poverty Action <https://poverty-action.org/>.

ppitables: Lookup Tables to Generate Poverty Likelihoods and Rates using the Poverty Probability Index (PPI)

Project Status: Active – The project has reached a stable, usablestate and is being activelydeveloped. Lifecycle:stable CRAN_Status_Badge cranchecks CRAN CRAN CRAN R-hub R-CMD-check test-coverage Codecov testcoverage CodeFactor DOI

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:

ppiXXXYYYY

The name of any of the PPI tables contains:

  1. ppi in lower case letters;
  2. XXX which is the the three letter ISO code of the country of interest (all capitals); and,
  3. YYYY which 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 NameDescriptionPPI Release Year
ppiAFG2012PPI for Afghanistan based on 2007/8 National Risk and Vulnerability Survey (NRVA)2012
ppiAGO2015PPI for Angola based on the 2008/2009 Household Living Standards Survey2015
ppiBEN2012PPI for Benin based on 2010 data2012
ppiBEN2022_11qPPI for Benin based on 2018/9 Enquete Harmonisée sur le Conditions de Vie des Ménages (EHCVM) and using an 11 question score card2022
ppiBEN2022_6qPPI for Benin based on 2018/9 Enquete Harmonisée sur le Conditions de Vie des Ménages (EHCVM) and using a 6 question score card2022
ppiBFA2011PPI for Burkina Faso using Burkina Faso’s 2003 Household Living Standards Survey2011
ppiBFA2014PPI for Burkina Faso using Burkina Faso’s 2014 Permanent Multi-Sector Survey2017
ppiBFA2017PPI for Burkina Faso using Burkina Faso’s 2014 Enquête Multisectorielle Continue (EMC) based on IPA’s new approach to PPI calculation2017
ppiBFA2023PPI for Burkina FASO based on data from 2018 Enquête Harmonisée sur le Conditions de Vie des Ménages (EHCVM)2023
ppiBGD2013PPI for Bangladesh using Bangaldesh’s 2010 HIES Survey2013
ppiBOL2015PPI for Bolivia using Bolivia’s 2013 Household Survey2015
ppiBOL2023PPI for Bolivia using data from Encuesta de Hogares 20202023
ppiBRA2010PPI for Brazil based on the 2008 PNAD2010
ppiCIV2013PPI for Ivory Coast using the Ivory Coast’s 2008 Household Living Standards Survey2013
ppiCIV2018PPI for Ivory Coast using the Ivory Coast’s 2015 Enquête sur le Niveau de Vie des Ménages2018
ppiCMR2013PPI for Cameroon using Cameroon’s 2007 Household Survey2013
ppiCOL2012PPI for Colombia based on Colombia’s 2009 Encuesta Integrada de Hogares. This table uses the old poverty definitions.2012
ppiCOL2012_aPPI for Colombia based on Colombia’s 2009 Encuesta Integrada de Hogares. This table uses the new poverty definitions for Colombia.2012
ppiCOL2018PPI for Colombia based on Colombia’s 2016 Gran Encuesta Integrada de Hogares (GEIH)2018
ppiDOM2010PPI for Dominican Republic based on the 2007 Encuesta Nacional de Ingresos y Gastos de los Hogares (ENIGH)2010
ppiDOM2018PPI for Dominican Republic based on the 2016 Encuesta Nacional de Fuerza de Trabajo (ENFT)2018
ppiECU2015PPI for Ecuador based on the 2013 Living Standards Survey2015
ppiECU2022PPI for Ecuador based on data from the Encuesta Nacional de Empleo, Desempleo y Subempleo (ENEMDU) from 2019, 2020 and 20212022
ppiEGY2010PPI for Egypt based on the 2004/5 HIECS2010
ppiETH2016PPI for Ethiopia based on Ethiopia’s 2010/11 Household Consumption and Expenditure Survey2016
ppiETH2023PPI for Ethiopia based on data from the Socioeconomic Survey 2018/2019”2023
ppiFJI2014PPI for Fiji based on Fiji’s 2008/9 Household Income and Expenditure Survey2014
ppiGHA2015PPI for Ghana based on Ghana’s 2012/13 Living Standards Survey using legacy poverty lines2015
ppiGHA2015_aPPI for Ghana based on Ghana’s 2012/13 Living Standards Survey using the new-definition poverty lines deflated with Ghana’s CPI2015
ppiGHA2015_bPPI 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 line2015
ppiGHA2019PPI for Ghana based on Ghana’s 2016/2017 Living Standards Survey2019
ppiGTM2016PPI for Guatemala based on Guatemala’s 2014 Household Living Standards Survey2016
ppiGTM2023PPI for Guatemala based on data from Encuesta Nacional de Empleo e Ingresos of 20212023
ppiHND2010PPI for Honduras based on the 2007 EPHPM2010
ppiHND2023PPI for Honduras based on data from the Encuesta Permanente de Hogares de Propósitos Múltiples (EPHPM) 20192023
ppiHTI2016PPI for Haiti based on Haiti’s 2012 Post-Earthquake Living Standards Survey2016
ppiIDN2012PPI for Indonesia based on data from 2010 using legacy poverty lines2012
ppiIDN2012_aPPI for Indonesia based on data from 2010 using new definition poverty lines2012
ppiIDN2020PPI for Indonesia based on data from Indonesia’s SUSENA 20162020
ppiIDN2023PPI for Indonesia based on data from the 2022 National Socioeconomic Survey (SUSENAS)2023
ppiIND2016_r59PPI for India using India’s 2011/12 Socio-Economic using the R59 legacy poverty lines using MRP consumption2016
ppiIND2016_r62PPI for India using India’s 2011/12 Socio-Economic using the R59 legacy poverty lines using MRP consumption2016
ppiIND2016_r66PPI for India using India’s 2011/12 Socio-Economic using the R66 legacy poverty lines using MRP consumption2016
ppiIND2016_r68PPI for India using India’s 2011/12 Socio-Economic using the R68 new poverty lines using MRP consumption2016
ppiJOR2010PPI for Jordan using Jordan’s 2006 Household Income and Expenditure Survey2010
ppiKEN2011PPI for Kenya using Kenya’s 2005/06 Integrated Household Budget Survey2011
ppiKEN2018PPI for Kenya using Kenya’s 2015 Integrated Household Budget Survey2018
ppiKGZ2015PPI for Kyrgyzstan Kyrgyz Republic’s 2012 Integrated Household Survey2015
ppiKHM2105PPI for Cambodia using Cambodia’s 2011 Socio-Economic Survey based using legacy poverty lines2015
ppiKHM2015_govPPI for Cambodia using Cambodia’s 2011 Socio-Economic Survey based using government definition poverty lines2015
ppiKHM2015_wbPPI for Cambodia using Cambodia’s 2011 Socio-Economic Survey based using World Bank definition poverty lines2015
ppiKHM2023PPI for Cambodia using data from 2020 Living Standards Measurement Study - Plus (LSMS+)2023
ppiLKA2016PPI for Sri Lanka using Sri Lanka’s 2012/13 Household Income and Expenditure Survey2016
ppiMAR2013PPI for Morocco based on Morocco’s 2007 Households Living Standards Survey2013
ppiMDG2015PPI for Madagascar based on Madagascar’s 2010 Periodic Household Survey2015
ppiMEX2017PPI for Mexico based on Mexico’s Encuesta Nacional de Ingresos y Gastos de los Hogares de 2014 using legacy definitions of poverty2017
ppiMEX2017_aPPI for Mexico based on Mexico’s Encuesta Nacional de Ingresos y Gastos de los Hogares de 2014 using new definitions of poverty2017
ppiMLI2010PPI for Mali based on Mali’s 2001 Poverty Evaluation Survey2010
ppiMMR2012PPI for Myanmar based on Myanmar’s 2009/10 Integrated Household Living Conditions Assessment2012
ppiMMR2019PPI for Myanmar based on Myanmar’s 2015 Poverty and Living Conditions Survey2019
ppiMNG2016PPI for Mongolia based on Mongolia’s 2014 Household Socio-Economic Survey2016
ppiMOZ2013PPI for Mozambique based on 2008/9 Household Budget Survey2013
ppiMOZ2019PPI for Mozambique based on 2014 Inquerito Sobre Orcamento Familiar (IOF) Survey2019
ppiMWI2015PPI for Malawi based on Malawi’s 2010/11 Integrated Household Survey using legacy poverty definitions2015
ppiMWI2015_govPPI for Malawi based on Malawi’s 2010/11 Integrated Household Survey using government poverty definitions2015
ppiMWI2015_pbmPPI for Malawi based on Malawi’s 2010/11 Integrated Household Survey using PBM poverty definitions2015
ppiMWI2020PPI for Malawi based on Malawi’s 2016-2017 Fourth Integrated Household Survey (IHS4) using new PPI definitions2020
ppiMWI2023PPI for Malawi based on data from the Fifth Integrated Household Survey 20192023
ppiNAM2013PPI for Namibia based on Namibia’s 2009/10 Household Income and Expenditure Survey2013
ppiNER2013PPI for Niger based on Niger’s 2007/8 National Household Budget and Expenditure Survey2013
ppiNGA2015PPI for Nigeria based on Nigeria’s 2012/13 General Household Panel Survey2015
ppiNIC2013PPI for Nicaragua based on Nicaragua’s 2009 Living Standards Measurement Survey2013
ppiNPL2013PPI for Nepal using legacy poverty definition lines2013
ppiNPL2013_aPPI for Nepal using new poverty definition lines2013
ppiPAK2009PPI for Pakistan using Pakistan 2005/6 Social and Living Standards Measurement Survey2009
ppiPER2012PPI for Peru based on Peru’s 2010 National Household Survey2012
ppiPER2018PPI for Peru based on Peru’s 2016 Encuesta Nacional de Hogares sobre Condiciones de Vida y Pobreza (ENAHO)2018
ppiPHL2014PPI for the Philippines based on Philippines’ 2009 FIES/LFS.2014
ppiPHL2018PPI for the Philippines based on Philippines’ 2015 Family Income and Expenditure Survey (FIES)2018
ppiPHL2023PPI for the Philippines based on data from the 2018 Family Income and Expenditure Survey (FIES)2023
ppiPNG2023PPI for Papua New Guinea based on data from 2016-2018 Demographic and Health Survey (DHS)2023
ppiPRY2012PPI for Paraguay based on Paraguay’s 2011 EPH2012
ppiPSE2014PPI for Palestine based on Palestine’s 2011 Expenditure and Consumption Survey2014
ppiROU2009PPI for Romania based on the 2007 HBS2009
ppiRUS2010PPI for Russia based on 2007 HBS2010
ppiRWA2016PPI for Rwanda based on Rwanda’s 2010/11 Integrated Household Living Standards Survey2016
ppiRWA2019PPI 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 Planning2019
ppiSEN2009PPI for Senegal based on Senegal’s 2005/6 Enquête de Suivi de la Pauvreté au Sénégal (ESPS)2009
ppiSEN2018PPI for Senegal based on Senegal’s 2011 Enquête de Suivi de la Pauvreté au Sénégal (ESPS)2018
ppiSLE2011PPI for Sierra Leone based on Sierra Leone’s 2003/4 HIS2011
ppiSLV2010PPI for El Salvador based on the 2008 EHPM2010
ppiSLV2021PPI for El Salvador based on data from 2019 Encuesta de Hogares de Propósitos Múltiples2021
ppiSYR2010PPI for Syria based on Syria’s 2006/7 Household Income and Expenditure Survey2010
ppiTJK2015PPI for Tajikistan based on 2007 data2015
ppiTLS2013PPI for Timor Leste based on Timor-Leste’s 2007 Survey of Living Standards2013
ppiTZA2016PPI for Tanzania based on Tanzania’s 2011/12 Household Budget Survey2016
ppiTZA2022PPI for Tanzania based on Tanzania’s 2017/2018 Household Budget Survey2022
ppiTGO2018PPI for Togo based on Togo’s 2015 Questionnaire des Indicateurs de Base du Bien-être (QUIBB)2018
ppiTGO2023PPI for Togo based on data from the 2018 Enquête Harmonisée sur le Conditions de Vie des Ménages (EHCVM)2023
ppiUGA2015PPI for Uganda based on Uganda’s 2012/13 National Household Survey2015
ppiUGA2022PPI for Uganda based on Uganda’s 2020 National Household Survey2022
ppiVNM2009PPI for Vietnam based on the 2006 VHLSS2009
ppiVNM2023PPI for Vietnam based on data from the 2021 Multiple Indicator Cluster Survey2023
ppiYEM2009PPI for Yemen based on 2005/06 HBS2009
ppiZAF2009PPI for South Africa based on the 2005/6 IES2009
ppiZAF2023PPI for South Africa based on data from the 2019 General Household Survey2023
ppiZMB2013_gotPPI for Zambia based on Zambia’s 2010 Living Conditions Monitoring Survey (LCMS) using Göttingen poverty definitions2013
ppiZMB2013_csoPPI for Zambia based on Zambia’s 2010 Living Conditions Monitoring Survey (LCMS) using CSO poverty definitions2013
ppiZMB2017PPI for Zambia based on Zambia’s 2015 Living Conditions Monitoring Survey (LCMS) using legacy poverty definitions2017
ppiZMB2017_aPPI for Zambia based on Zambia’s 2015 Living Conditions Monitoring Survey (LCMS) using new PPI calculation approach2017

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 rows

View 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 rows

View 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 rows

To 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 rows

Disclaimer

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.

Metadata

Version

0.5.5

License

Unknown

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