Type: Package
Title: Lookup Tables to Generate Poverty Likelihoods and Rates using the Poverty Probability Index (PPI)
Version: 0.6.0
Description: 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/.
License: MIT + file LICENSE
Depends: R (≥ 2.10)
Imports: tibble, tidyr
Suggests: testthat (≥ 3.0.0), covr, spelling, stringr, readxl, knitr, rmarkdown
Encoding: UTF-8
Language: en-GB
LazyData: true
RoxygenNote: 7.3.2
URL: https://github.com/katilingban/ppitables, https://katilingban.io/ppitables/
BugReports: https://github.com/katilingban/ppitables/issues
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-03-13 10:23:10 UTC; ernestguevarra
Author: Ernest Guevarra ORCID iD [aut, cre]
Maintainer: Ernest Guevarra <ernestgmd@gmail.com>
Repository: CRAN
Date/Publication: 2025-03-13 10:40:07 UTC

Poverty Probability Index (PPI) Lookup Tables

Description

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.

Author(s)

Maintainer: Ernest Guevarra ernestgmd@gmail.com (ORCID)

See Also

Useful links:

Search for PPI table by specifying region, country and/or calculation type.

Description

Search for PPI table by specifying region, country and/or calculation type.

Usage

find_table(
  region = steer$region,
  country = steer$country[steer$region %in% region],
  type = steer$type[steer$country %in% country]
)

Arguments

region

Region of the world to search PPI table from. Default is c("Africa", "Asia", "Eastern Europe and Central Asia", "Latin America and the Carribean", "Middle East and North Africa"). Allows specification of one region or a vector of regions.

country

Country to search PPI table from. Default is vector of all country names from the specified region/s. Allows specification of one country name or a vector of country names.

type

Type of PPI calculation used. Can be one of two options: "sps" for the Simple Poverty Scorecard calculation or "ipa" for the International Poverty Alliance calculation. Default is vector of all calculation types available for the specified country/ies.

Value

A data frame in tibble format of corresponding PPI table/s matching the search parameters. The data frame contains information on the region, country, description, survey year, release year, calculation type, and filename of the returned PPI table/s.

Examples

## View the full data frame of all the PPI tables available through ppitables
find_table()

Get PPI table/s based on a specified PPI table/s search output

Description

Get PPI table/s based on a specified PPI table/s search output

Usage

get_table(
  region = steer$region,
  country = steer$country[steer$region %in% region],
  type = steer$type[steer$country %in% country]
)

Arguments

region

Region of the world to search PPI table from. Default is c("Africa", "Asia", "Eastern Europe and Central Asia", "Latin America and the Carribean", "Middle East and North Africa"). Allows specification of one region or a vector of regions.

country

Country to search PPI table from. Default is vector of all country names from the specified region/s. Allows specification of one country name or a vector of country names.

type

Type of PPI calculation used. Can be one of two options: "sps" for the Simple Poverty Scorecard calculation or ipa for the International Poverty Alliance calculation. Default is vector of all calculation types available for the specified country/ies.

Value

A data frame in tibble format of corresponding PPI table/s matching the search parameters. The data frame is in tidy format and contains the corresponding poverty probability (ppi) for a specific score (score) for various poverty definitions) for the country (country) and PPI calculation type (type).

Examples

## Create a tidy format PPI table for Nepal
get_table(region = "Asia", country = "Nepal")

Poverty Probability Index (PPI) lookup table for Afghanistan

Description

Poverty Probability Index (PPI) lookup table for Afghanistan

Usage

ppiAFG2012

Format

A data frame with 7 columns and 101 rows:

score

PPI score

nl

National poverty line

nu150

National poverty line (150%)

nu200

National poverty line (200%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Afghanistan PPI table
  ppiAFG2012

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiAFG2012[ppiAFG2012$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiAFG2012, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiAFG2012[ppiAFG2012$score == ppiScore, "extreme"]

Poverty Probability Index (PPI) lookup table for Angola

Description

Poverty Probability Index (PPI) lookup table for Angola

Usage

ppiAGO2015

Format

A data frame with 9 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

half100

Poorest half below 100% national

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Angola PPI table
  ppiAGO2015

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiAGO2015[ppiAGO2015$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiAGO2015, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiAGO2015[ppiAGO2015$score == ppiScore, "extreme"]

Poverty Probability Index (PPI) lookup table for Benin

Description

Poverty Probability Index (PPI) lookup table for Benin

Usage

ppiBEN2012

Format

A data frame with 7 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Benin PPI table
  ppiBEN2012

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiBEN2012[ppiBEN2012$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiBEN2012, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiBEN2012[ppiBEN2012$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Benin for 2022 for 11 questions score card

Description

Poverty Probability Index (PPI) lookup table for Benin for 2022 for 11 questions score card

Usage

ppiBEN2022_11q

Format

A data frame with 14 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

ppp215

Below $2.15 per day purchasing power parity (2017)

ppp365

Below $3.65 per day purchasing power parity (2017)

ppp685

Below $6.85 per day purchasing power parity (2017)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Benin PPI table
  ppiBEN2022_11q

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiBEN2022_11q[ppiBEN2022_11q$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiBEN2022_11q, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiBEN2022_11q[ppiBEN2022_11q$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Benin for 2022 for 6 questions score card

Description

Poverty Probability Index (PPI) lookup table for Benin for 2022 for 6 questions score card

Usage

ppiBEN2022_6q

Format

A data frame with 14 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

ppp215

Below $2.15 per day purchasing power parity (2017)

ppp365

Below $3.65 per day purchasing power parity (2017)

ppp685

Below $6.85 per day purchasing power parity (2017)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Benin PPI table
  ppiBEN2022_6q

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiBEN2022_6q[ppiBEN2022_6q$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiBEN2022_6q, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiBEN2022_6q[ppiBEN2022_6q$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Burkina Faso

Description

Poverty Probability Index (PPI) lookup table for Burkina Faso

Usage

ppiBFA2011

Format

A data frame with 8 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl50

National poverty line (50%)

nl75

National poverty line (75%)

nl150

National poverty line (150%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Poverty Probability Index (PPI) lookup table for Burkina Faso

Description

Poverty Probability Index (PPI) lookup table for Burkina Faso

Usage

ppiBFA2014

Format

A data frame with 18 columns and 101 rows:

score

PPI score

food

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp125

Below $1.00 per day purchasing power parity (2005)

ppp200

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

ppp844

Below $8.44 per day purchasing power parity (2005)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp310

Below $3.10 per day purchasing power parity (2011)

median

Median poverty line

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile50

Below 50th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Poverty Probability Index (PPI) lookup table for Burkina Faso

Description

Poverty Probability Index (PPI) lookup table for Burkina Faso

Usage

ppiBFA2017

Format

A data frame with 15 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

ppp100

Below $1.00 per day purchasing power parity (2011)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Burkina Faso PPI table
  ppiBFA2017

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiBFA2017[ppiBFA2017$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiBFA2017, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiBFA2017[ppiBFA2017$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Burkina Faso for 2023

Description

Poverty Probability Index (PPI) lookup table for Burkina Faso for 2023

Usage

ppiBFA2023

Format

A data frame with 14 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp215

Below $1.25 per day purchasing power parity (2017)

ppp365

Below $2.50 per day purchasing power parity (2017)

ppp685

Below $5.00 per day purchasing power parity (2017)

ppp190

Below $1.00 per day purchasing power parity (2011)

ppp320

Below $1.90 per day purchasing power parity (2011)

ppp550

Below $3.20 per day purchasing power parity (2011)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Burkina Faso PPI table
  ppiBFA2023

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiBFA2023[ppiBFA2023$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiBFA2023, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiBFA2023[ppiBFA2023$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Bangladesh

Description

Poverty Probability Index (PPI) lookup table for Bangladesh

Usage

ppiBGD2013

Format

A data frame with 10 columns and 101 rows:

score

PPI score

nl

National lower poverty line

nu100

National upper poverty line (100%)

nu150

National upper poverty line (150%)

nu200

National upper poverty line (200%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp175

Below $1.75 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Bangladesh PPI table
  ppiBGD2013

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiBGD2013[ppiBGD2013$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiBGD2013, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiBGD2013[ppiBGD2013$score == ppiScore, "extreme"]

Poverty Probability Index (PPI) lookup table for Bolivia

Description

Poverty Probability Index (PPI) lookup table for Bolivia

Usage

ppiBOL2015

Format

A data frame with 10 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

half100

Poorest half below 100% national

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

ppp844

Below $8.44 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Bolivia PPI table
  ppiBOL2015

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiBOL2015[ppiBOL2015$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiBOL2015, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the food
  # poverty line definition
  ppiScore <- 50
  ppiBOL2015[ppiBOL2015$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Bolivia for 2023

Description

Poverty Probability Index (PPI) lookup table for Bolivia for 2023

Usage

ppiBOL2023

Format

A data frame with 15 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl_extreme

National poverty line (extreme)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp190

Below $1.25 per day purchasing power parity (2011)

ppp320

Below $1.25 per day purchasing power parity (2011)

ppp550

Below $2.00 per day purchasing power parity (2011)

ppp215

Below $2.15 per day purchasing power parity (2017)

ppp365

Below $3.65 per day purchasing power parity (2017)

ppp685

Below $6.85 per day purchasing power parity (2017)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Bolivia PPI table
  ppiBOL2023

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiBOL2023[ppiBOL2023$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiBOL2023, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the food
  # poverty line definition
  ppiScore <- 50
  ppiBOL2023[ppiBOL2023$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Brazil

Description

Poverty Probability Index (PPI) lookup table for Brazil

Usage

ppiBRA2010

Format

A data frame with 10 columns and 101 rows:

score

PPI score

belowHalfWage

Below the half minimum wage line

belowQtrWage

Below the quarter minimum wage line

belowOneWage

Below the one minimum wage line

belowTwoWage

Below the two minimum wage line

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp375

Below $3.75 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Brazil PPI table
  ppiBRA2010

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiBRA2010[ppiBRA2010$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiBRA2010, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiBRA2010[ppiBRA2010$score == ppiScore, "extreme"]

Poverty Probability Index (PPI) lookup table for Ivory Coast

Description

Poverty Probability Index (PPI) lookup table for Ivory Coast

Usage

ppiCIV2013

Format

A data frame with 9 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2011)

ppp800

Below $8.00 per day purchasing power parity (2011)

Source

https://www.povertyindex.org

Examples

  # Access Ivory Coast PPI table
  ppiCIV2013

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiCIV2013[ppiCIV2013$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiCIV2013, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiCIV2013[ppiCIV2013$score == ppiScore, "extreme"]

Poverty Probability Index (PPI) lookup table for Ivory Coast

Description

Poverty Probability Index (PPI) lookup table for Ivory Coast

Usage

ppiCIV2018

Format

A data frame with 15 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp125

Below $1.00 per day purchasing power parity (2011)

ppp250

Below $1.90 per day purchasing power parity (2011)

ppp500

Below $3.20 per day purchasing power parity (2011)

ppp100

Below $5.50 per day purchasing power parity (2011)

ppp190

Below $1.25 per day purchasing power parity (2005)

ppp320

Below $2.50 per day purchasing power parity (2005)

ppp550

Below $5.00 per day purchasing power parity (2005)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Poverty Probability Index (PPI) lookup table for Cameroon

Description

Poverty Probability Index (PPI) lookup table for Cameroon

Usage

ppiCMR2013

Format

A data frame with 8 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Cameroon PPI table
  ppiCMR2013

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiCMR2013[ppiCMR2013$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiCMR2013, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiCMR2013[ppiCMR2013$score == ppiScore, "extreme"]

Poverty Probability Index (PPI) lookup table for Colombia

Description

Poverty Probability Index (PPI) lookup table for Colombia

Usage

ppiCOL2012

Format

A data frame with 10 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp375

Below $3.75 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Poverty Probability Index (PPI) lookup table for Colombia

Description

Poverty Probability Index (PPI) lookup table for Colombia

Usage

ppiCOL2012_a

Format

A data frame with 12 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

half100

Poorest half below 100 national

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp375

Below $3.75 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp310

Below $3.10 per day purchasing power parity (2011)

Source

https://www.povertyindex.org

Poverty Probability Index (PPI) lookup table for Colombia

Description

Poverty Probability Index (PPI) lookup table for Colombia

Usage

ppiCOL2018

Format

A data frame with 19 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

extreme

Extreme national poverty line

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

ppp800

Below $8.00 per day purchasing power parity (2011)

ppp1100

Below $11.00 per day purchasing power parity (2011)

ppp1500

Below $15.00 per day purchasing power parity (2011)

ppp2170

Below $21.70 per day purchasing power parity (2011)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Poverty Probability Index (PPI) lookup table for Colombia based on data from the 2022 Gran Encuesta Integrada de Hogares (GEIH).

Description

Poverty Probability Index (PPI) lookup table for Colombia based on data from the 2022 Gran Encuesta Integrada de Hogares (GEIH).

Usage

ppiCOL2024

Format

A data frame with 16 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl_extreme

National poverty line (extreme)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp215

Below $2.15 per day purchasing power parity (2017)

ppp365

Below $3.65 per day purchasing power parity (2017)

ppp685

Below $6.85 per day purchasing power parity (2017)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Colombia PPI table
  ppiCOL2024

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiCOL2024[ppiCOL2024$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiCOL2024, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiCOL2024[ppiCOL2024$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Dominican Republic

Description

Poverty Probability Index (PPI) lookup table for Dominican Republic

Usage

ppiDOM2010

Format

A data frame with 11 columns and 101 rows:

score

PPI score

nl50

National poverty line (50%)

nl75

National poverty line (75%)

nl100

National poverty line (100%)

nl150

National poverty line (150%)

extreme

USAID extreme poverty

nl200

National poverty line (200%)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp375

Below $3.75 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Dominican Republic PPI table
  ppiDOM2010

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiDOM2010[ppiDOM2010$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiDOM2010, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiDOM2010[ppiDOM2010$score == ppiScore, "extreme"]

Poverty Probability Index (PPI) lookup table for Dominican Republic

Description

Poverty Probability Index (PPI) lookup table for Dominican Republic

Usage

ppiDOM2018

Format

A data frame with 16 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nlFood

National poverty line (150%)

nl150

National poverty line (200%)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

ppp800

Below $8.00 per day purchasing power parity (2011)

ppp1100

Below $11.00 per day purchasing power parity (2011)

ppp1500

Below $15.00 per day purchasing power parity (2011)

ppp2170

Below $21.70 per day purchasing power parity (2011)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Poverty Probability Index (PPI) lookup table for Dominican Republic based on data from the 2022 Encuesta Continua de Fuerza de Trabajo - ENCFT conducted by the National Statistics Office (ONE)

Description

Poverty Probability Index (PPI) lookup table for Dominican Republic based on data from the 2022 Encuesta Continua de Fuerza de Trabajo - ENCFT conducted by the National Statistics Office (ONE)

Usage

ppiDOM2024

Format

A data frame with 9 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp685

Below $6.85 per day purchasing power parity (2017)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Dominican Republic PPI table
  ppiDOM2024

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiDOM2024[ppiDOM2024$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiDOM2024, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiDOM2024[ppiDOM2024$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Ecuador

Description

Poverty Probability Index (PPI) lookup table for Ecuador

Usage

ppiECU2015

Format

A data frame with 11 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

half100

Poorest half below 100% national

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

ppp844

Below $8.44 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Ecuador PPI table
  ppiECU2015

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiECU2015[ppiECU2015$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiECU2015, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiECU2015[ppiECU2015$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Ecuador for 2022

Description

Poverty Probability Index (PPI) lookup table for Ecuador for 2022

Usage

ppiECU2022

Format

A data frame with 20 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl_extreme

National poverty line (extreme)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp215

Below $2.15 per day purchasing power parity (2017)

ppp365

Below $3.65 per day purchasing power parity (2017)

ppp685

Below $6.85 per day purchasing power parity (2017)

ppp100

Below $1.00 per day purchasing power parity (2011)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

ppp800

Below $8.00 per day purchasing power parity (2011)

ppp1100

Below $11.00 per day purchasing power parity (2011)

ppp1500

Below $15.00 per day purchasing power parity (2011)

ppp2170

Below $21.70 per day purchasing power parity (2011)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Ecuador PPI table
  ppiECU2015

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiECU2015[ppiECU2015$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiECU2015, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiECU2015[ppiECU2015$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Egypt

Description

Poverty Probability Index (PPI) lookup table for Egypt

Usage

ppiEGY2010

Format

A data frame with 8 columns and 101 rows:

score

PPI score

nu100

National upper poverty line (100%)

nl100

National lower poverty line (100%)

nlFood

Food poverty line

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp375

Below $3.75 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Egypt PPI table
  ppiEGY2010

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiEGY2010[ppiEGY2010$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiEGY2010, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiEGY2010[ppiEGY2010$score == ppiScore, "extreme"]

Poverty Probability Index (PPI) lookup table for Ethiopia

Description

Poverty Probability Index (PPI) lookup table for Ethiopia

Usage

ppiETH2016

Format

A data frame with 21 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp100

Below $1.00 per day purchasing power parity (2005)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp175

Below $1.75 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp310

Below $3.10 per day purchasing power parity (2011)

ppp380

Below $3.80 per day purchasing power parity (2011)

ppp400

Below $4.00 per day purchasing power parity (2011)

half100

Poorest half below 100 national

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile50

Below 50th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Ethiopia PPI table
  ppiETH2016

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiETH2016[ppiETH2016$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiETH2016, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiETH2016[ppiETH2016$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Ethiopia for 2023

Description

Poverty Probability Index (PPI) lookup table for Ethiopia for 2023

Usage

ppiETH2023

Format

A data frame with 20 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl_extreme

National poverty line (extreme)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp100

Below $1.00 per day purchasing power parity (2011)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

ppp800

Below $8.00 per day purchasing power parity (2011)

ppp1100

Below $11.00 per day purchasing power parity (2011)

ppp1500

Below $15.00 per day purchasing power parity (2011)

ppp2170

Below $21.70 per day purchasing power parity (2011)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Ethiopia PPI table
  ppiETH2023

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiETH2023[ppiETH2023$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiETH2023, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiETH2023[ppiETH2023$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Fiji

Description

Poverty Probability Index (PPI) lookup table for Fiji

Usage

ppiFJI2014

Format

A data frame with 8 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

median

Poorest half below 100% national

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Fiji PPI table
  ppiFJI2014

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiFJI2014[ppiFJI2014$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiFJI2014, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiFJI2014[ppiFJI2014$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Ghana based on legacy definitions

Description

Poverty Probability Index (PPI) lookup table for Ghana based on legacy definitions

Usage

ppiGHA2015

Format

A data frame with 8 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp375

Below $2.75 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Ghana PPI table
  ppiGHA2015

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiGHA2015[ppiGHA2015$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiGHA2015, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiGHA2015[ppiGHA2015$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Ghana using poverty definitions deflated with Ghana's CPI

Description

Poverty Probability Index (PPI) lookup table for Ghana using poverty definitions deflated with Ghana's CPI

Usage

ppiGHA2015_a

Format

A data frame with 13 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

half100

Poorest half below 100% national

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp375

Below $3.75 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp310

Below $3.10 per day purchasing power parity (2011)

Source

https://www.povertyindex.org

Examples

  # Access Ghana PPI table
  ppiGHA2015_a

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiGHA2015_a[ppiGHA2015_a$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiGHA2015_a, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiGHA2015_a[ppiGHA2015_a$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Ghana using poverty definitions deflated with the change in 100% of national poverty line

Description

Poverty Probability Index (PPI) lookup table for Ghana using poverty definitions deflated with the change in 100% of national poverty line

Usage

ppiGHA2015_b

Format

A data frame with 8 columns and 101 rows:

score

PPI score

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp375

Below $3.75 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp310

Below $3.10 per day purchasing power parity (2011)

Source

https://www.povertyindex.org

Examples

  # Access Ghana PPI table
  ppiGHA2015_b

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiGHA2015_b[ppiGHA2015_b$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiGHA2015_b, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the below $1.25
  # per day purchasing power parity (2005)
  ppiScore <- 50
  ppiGHA2015_b[ppiGHA2015_b$score == ppiScore, "ppp125"]

Poverty Probability Index (PPI) lookup table for Ghana

Description

Poverty Probability Index (PPI) lookup table for Ghana

Usage

ppiGHA2019

Format

A data frame with 20 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

extreme

Extreme poverty line

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp100

Below $1.00 per day purchasing power parity (2011)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

ppp800

Below $8.00 per day purchasing power parity (2011)

ppp1100

Below $11.00 per day purchasing power parity (2011)

ppp1500

Below $15.00 per day purchasing power parity (2011)

ppp2170

Below $21.70 per day purchasing power parity (2011)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 50th percentile poverty line

percentile80

Below 60th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Ghana PPI table
  ppiGHA2019

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiGHA2019[ppiGHA2019$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiGHA2019, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line is used
  ppiScore <- 50
  ppiGHA2019[ppiGHA2019$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Guatemala

Description

Poverty Probability Index (PPI) lookup table for Guatemala

Usage

ppiGTM2016

Format

A data frame with 17 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

half100

Poorest half below 100% national

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp310

Below $3.10 per day purchasing power parity (2011)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile50

Below 50th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Guatemala PPI table
  ppiGTM2016

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiGTM2016[ppiGTM2016$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiGTM2016, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiGTM2016[ppiGTM2016$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Guatemala for 2023

Description

Poverty Probability Index (PPI) lookup table for Guatemala for 2023

Usage

ppiGTM2023

Format

A data frame with 17 columns and 101 rows:

score

PPI score

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

ppp215

Below $2.15 per day purchasing power parity (2017)

ppp365

Below $3.65 per day purchasing power parity (2017)

ppp685

Below $6.85 per day purchasing power parity (2017)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Guatemala PPI table
  ppiGTM2023

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiGTM2023[ppiGTM2023$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiGTM2023, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiGTM2023[ppiGTM2023$score == ppiScore, "ppp190"]

Poverty Probability Index (PPI) lookup table for Honduras

Description

Poverty Probability Index (PPI) lookup table for Honduras

Usage

ppiHND2010

Format

A data frame with 7 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nlFood

Food poverty line

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp375

Below $3.75 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Honduras PPI table
  ppiHND2010

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiHND2010[ppiHND2010$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiHND2010, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiHND2010[ppiHND2010$score == ppiScore, "extreme"]

Poverty Probability Index (PPI) lookup table for Honduras for 2023

Description

Poverty Probability Index (PPI) lookup table for Honduras for 2023

Usage

ppiHND2023

Format

A data frame with 18 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl_extreme

National poverty line (extreme)

ppp100

Below $1.00 per day purchasing power parity (2011)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

ppp800

Below $8.00 per day purchasing power parity (2011)

ppp1100

Below $11.00 per day purchasing power parity (2011)

ppp1500

Below $15.00 per day purchasing power parity (2011)

ppp2170

Below $21.70 per day purchasing power parity (2011)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Honduras PPI table
  ppiHND2023

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiHND2023[ppiHND2023$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiHND2023, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiHND2023[ppiHND2023$score == ppiScore, "nl_extreme"]

Poverty Probability Index (PPI) lookup table for Haiti

Description

Poverty Probability Index (PPI) lookup table for Haiti

Usage

ppiHTI2016

Format

A data frame with 10 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

half100

Poorest half below 100% national

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Haiti PPI table
  ppiHTI2016

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiHTI2016[ppiHTI2016$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiHTI2016, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiHTI2016[ppiHTI2016$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Indonesia using legacy poverty definitions

Description

Poverty Probability Index (PPI) lookup table for Indonesia using legacy poverty definitions

Usage

ppiIDN2012

Format

A data frame with 4 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Indonesia PPI table
  ppiIDN2012

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiIDN2012[ppiIDN2012$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiIDN2012, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiIDN2012[ppiIDN2012$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Indonesia using new poverty definitions

Description

Poverty Probability Index (PPI) lookup table for Indonesia using new poverty definitions

Usage

ppiIDN2012_a

Format

A data frame with 9 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp310

Below $3.10 per day purchasing power parity (2011)

Source

https://www.povertyindex.org

Examples

  # Access Indonesia PPI table
  ppiIDN2012_a

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiIDN2012_a[ppiIDN2012_a$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiIDN2012_a, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiIDN2012_a[ppiIDN2012_a$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Indonesia

Description

Poverty Probability Index (PPI) lookup table for Indonesia

Usage

ppiIDN2020

Format

A data frame with 20 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

extreme

Extreme poverty line

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp100

Below $1.00 per day purchasing power parity (2011)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

ppp800

Below $8.00 per day purchasing power parity (2011)

ppp1100

Below $11.00 per day purchasing power parity (2011)

ppp1500

Below $15.00 per day purchasing power parity (2011)

ppp2170

Below $21.70 per day purchasing power parity (2011)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 50th percentile poverty line

percentile80

Below 60th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Indonesia PPI table
  ppiIDN2020

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiIDN2020[ppiIDN2020$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiIDN2020, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiIDN2020[ppiIDN2020$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Indonesia for 2023

Description

Poverty Probability Index (PPI) lookup table for Indonesia for 2023

Usage

ppiIDN2023

Format

A data frame with 10 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

ppp365

Below $3.65 per day purchasing power parity (2017)

ppp685

Below $6.85 per day purchasing power parity (2017)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 50th percentile poverty line

percentile80

Below 60th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Indonesia PPI table
  ppiIDN2023

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiIDN2023[ppiIDN2023$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiIDN2023, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiIDN2023[ppiIDN2023$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for India using r59 poverty definitions

Description

Poverty Probability Index (PPI) lookup table for India using r59 poverty definitions

Usage

ppiIND2016_r59

Format

A data frame with 4 columns and 101 rows:

score

PPI score

saxena

National saxena

ppp108

Below $1.08 per day purchasing power parity (1993)

ppp216

Below $2.16 per day purchasing power parity (1993)

Source

https://www.povertyindex.org

Examples

  # Access India PPI table
  ppiIND2016_r59

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiIND2016_r59[ppiIND2016_r59$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiIND2016_r59, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the saxena
  # poverty definition
  ppiScore <- 50
  ppiIND2016_r59[ppiIND2016_r59$score == ppiScore, "saxena"]

Poverty Probability Index (PPI) lookup table for India using r62 poverty definitions

Description

Poverty Probability Index (PPI) lookup table for India using r62 poverty definitions

Usage

ppiIND2016_r62

Format

A data frame with 7 columns and 101 rows:

score

PPI score

saxena

National saxena

ppp108

Below $1.08 per day purchasing power parity (1993)

ppp81

Below $0.81 per day purchasing power parity (1993)

ppp135

Below $1.35 per day purchasing power parity (1993)

ppp162

Below $1.62 per day purchasing power parity (1993)

ppp216

Below $2.16 per day purchasing power parity (1993)

Source

https://www.povertyindex.org

Examples

  # Access India PPI table
  ppiIND2016_r62

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiIND2016_r62[ppiIND2016_r62$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiIND2016_r62, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # saxena poverty definition
  ppiScore <- 50
  ppiIND2016_r62[ppiIND2016_r62$score == ppiScore, "saxena"]

Poverty Probability Index (PPI) lookup table for India using r66 poverty definitions

Description

Poverty Probability Index (PPI) lookup table for India using r66 poverty definitions

Usage

ppiIND2016_r66

Format

A data frame with 8 columns and 101 rows:

score

PPI score

tendulkar

National tendulkar

tendulkar100

National tendulkar (100%)

tendulkar150

National tendulkar (150%)

tendulkar200

National tendulkar (200%)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp188

Below $1.88 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access India PPI table
  ppiIND2016_r66

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiIND2016_r66[ppiIND2016_r66$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiIND2016_r66, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # tendulkar poverty definition
  ppiScore <- 50
  ppiIND2016_r66[ppiIND2016_r66$score == ppiScore, "tendulkar"]

Poverty Probability Index (PPI) lookup table for India using r68 poverty definitions

Description

Poverty Probability Index (PPI) lookup table for India using r68 poverty definitions

Usage

ppiIND2016_r68

Format

A data frame with 16 columns and 101 rows:

score

PPI score

rangarajan100

National rangarajan (100%)

rangarajan150

National rangarajan (150%)

rangarajan200

National rangarajan (200%)

half100

Poorest half below 100% national

rbiUrban

RBI urban

rbiRural

RBI rural

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp310

Below $3.10 per day purchasing power parity (2011)

ppp380

Below $3.80 per day purchasing power parity (2011)

ppp400

Below $4.00 per day purchasing power parity (2011)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile50

Below 50th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access India PPI table
  ppiIND2016_r68

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiIND2016_r68[ppiIND2016_r68$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiIND2016_r68, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # rangarajan poverty definition
  ppiScore <- 50
  ppiIND2016_r68[ppiIND2016_r68$score == ppiScore, "rangarajan100"]

Poverty Probability Index (PPI) lookup table for Jordan

Description

Poverty Probability Index (PPI) lookup table for Jordan

Usage

ppiJOR2010

Format

A data frame with 10 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

nl250

National poverty line (250%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp375

Below $3.75 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Jordan PPI table
  ppiJOR2010

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiJOR2010[ppiJOR2010$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiJOR2010, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiJOR2010[ppiJOR2010$score == ppiScore, "extreme"]

Poverty Probability Index (PPI) lookup table for Kenya

Description

Poverty Probability Index (PPI) lookup table for Kenya

Usage

ppiKEN2011

Format

A data frame with 11 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp400

Below $4.00 per day purchasing power parity (2005)

ppp844

Below $8.44 per day purchasing power parity (2005)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp310

Below $3.10 per day purchasing power parity (2011)

Source

https://www.povertyindex.org

Examples

  # Access Kenya PPI table
  ppiKEN2011

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiKEN2011[ppiKEN2011$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiKEN2011, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiKEN2011[ppiKEN2011$score == ppiScore, "extreme"]

Poverty Probability Index (PPI) lookup table for Kenya

Description

Poverty Probability Index (PPI) lookup table for Kenya

Usage

ppiKEN2018

Format

A data frame with 17 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nlFood

Food poverty line

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp100

Below $1.00 per day purchasing power parity (2011)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

ppp800

Below $8.00 per day purchasing power parity (2011)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 50th percentile poverty line

percentile80

Below 60th percentile poverty line

Source

https://www.povertyindex.org

Poverty Probability Index (PPI) lookup table for Kenya based on data from the 2021 Kenya Integrated Household Budget Survey (KIHBS)

Description

Poverty Probability Index (PPI) lookup table for Kenya based on data from the 2021 Kenya Integrated Household Budget Survey (KIHBS)

Usage

ppiKEN2024

Format

A data frame with 13 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nlAbsolute

Absolute poverty line

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

ppp215

Below $2.15 per day purchasing power parity (2017)

ppp365

Below $3.65 per day purchasing power parity (2017)

ppp685

Below $6.85 per day purchasing power parity (2017)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Kenya PPI table
  ppiKEN2024

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiKEN2024[ppiKEN2024$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiKEN2024, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiKEN2024[ppiKEN2024$score == ppiScore, "nlFood"]

Poverty Probability Index (PPI) lookup table for Kyrgyzstan

Description

Poverty Probability Index (PPI) lookup table for Kyrgyzstan

Usage

ppiKGZ2015

Format

A data frame with 9 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

median

Poorest half below 100% national

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Kyrgyzstan PPI table
  ppiKGZ2015

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiKGZ2015[ppiKGZ2015$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiKGZ2015, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiKGZ2015[ppiKGZ2015$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Cambodia

Description

Poverty Probability Index (PPI) lookup table for Cambodia

Usage

ppiKHM2015

Format

A data frame with 6 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp125

Below $1.25 per day purchasing power poverty (2005)

ppp250

Below $2.50 per day purchasing power poverty (2005)

Source

https://www.povertyindex.org

Examples

  # Access Cambodia PPI table
  ppiKHM2015

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiKHM2015[ppiKHM2015$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiKHM2015, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiKHM2015[ppiKHM2015$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Cambodia

Description

Poverty Probability Index (PPI) lookup table for Cambodia

Usage

ppiKHM2015_gov

Format

A data frame with 9 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

median

Median poverty line

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Cambodia PPI table
  ppiKHM2015_gov

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiKHM2015_gov[ppiKHM2015_gov$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiKHM2015_gov, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiKHM2015_gov[ppiKHM2015_gov$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Cambodia

Description

Poverty Probability Index (PPI) lookup table for Cambodia

Usage

ppiKHM2015_wb

Format

A data frame with 9 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

median

Median poverty line

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Cambodia PPI table
  ppiKHM2015_wb

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiKHM2015_wb[ppiKHM2015_wb$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiKHM2015_wb, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiKHM2015_wb[ppiKHM2015_wb$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Cambodia for 2023

Description

Poverty Probability Index (PPI) lookup table for Cambodia for 2023

Usage

ppiKHM2023

Format

A data frame with 14 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp550

Below $3.20 per day purchasing power parity (2011)

ppp800

Below $3.20 per day purchasing power parity (2011)

ppp1100

Below $11.00 per day purchasing power parity (2011)

ppp1500

Below $15.00 per day purchasing power parity (2011)

ppp2170

Below $21.70 per day purchasing power parity (2011)

ppp685

Below $6.85 per day purchasing power parity (2017)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Cambodia PPI table
  ppiKHM2023

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiKHM2023[ppiKHM2023$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiKHM2023, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiKHM2023[ppiKHM2023$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Sri Lanka

Description

Poverty Probability Index (PPI) lookup table for Sri Lanka

Usage

ppiLKA2016

Format

A data frame with 16 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

half100

Poorest half below 100% national

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp310

Below $3.10 per day purchasing power parity (2011)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile50

Below 50th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Sri Lanka PPI table
  ppiLKA2016

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiLKA2016[ppiLKA2016$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiLKA2016, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiLKA2016[ppiLKA2016$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Morocco

Description

Poverty Probability Index (PPI) lookup table for Morocco

Usage

ppiMAR2013

Format

A data frame with 9 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp375

Below $3.75 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Morocco PPI table
  ppiMAR2013

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiMAR2013[ppiMAR2013$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiMAR2013, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiMAR2013[ppiMAR2013$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Madagascar

Description

Poverty Probability Index (PPI) lookup table for Madagascar

Usage

ppiMDG2015

Format

A data frame with 9 columns and 101 rows:

score

PPI score

nl100

Food poverty line

nl150

National poverty line (100%)

nl200

National poverty line (150%)

median

National poverty line (200%)

ppp125

Poorest half below 100% national

ppp200

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.00 per day purchasing power parity (2005)

ppp500

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Madagascar PPI table
  ppiMDG2015

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiMDG2015[ppiMDG2015$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiMDG2015, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiMDG2015[ppiMDG2015$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Mexico using legacy definitions

Description

Poverty Probability Index (PPI) lookup table for Mexico using legacy definitions

Usage

ppiMEX2017

Format

A data frame with 8 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nlCapability

Capabilities

nl100

National poverty line (100%)

nl125

National poverty line (125%)

nl150

National poverty line (150%)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Mexico PPI table
  ppiMEX2017

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiMEX2017[ppiMEX2017$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiMEX2017, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiMEX2017[ppiMEX2017$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Mexico using new poverty definitions

Description

Poverty Probability Index (PPI) lookup table for Mexico using new poverty definitions

Usage

ppiMEX2017_a

Format

A data frame with 17 columns and 101 rows:

score

PPI score

nl100

National lower poverty line (100%)

nu100

National upper poverty line (100%)

nu150

National upper poverty line (150%)

nu200

National upper poverty line (200%)

half100

Poorest half below 100% national

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp310

Below $3.10 per day purchasing power parity (2011)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile50

Below 50th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Mexico PPI table
  ppiMEX2017_a

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiMEX2017_a[ppiMEX2017_a$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiMEX2017_a, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiMEX2017_a[ppiMEX2017_a$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Mexico based on data from Encuesta Nacional de Ingresos y Gastos de los Hogares (ENIGH) from 2022 produced by the Instituto Nacional de Estadística y Geografía (INEGI)

Description

Poverty Probability Index (PPI) lookup table for Mexico based on data from Encuesta Nacional de Ingresos y Gastos de los Hogares (ENIGH) from 2022 produced by the Instituto Nacional de Estadística y Geografía (INEGI)

Usage

ppiMEX2024

Format

A data frame with 21 columns and 100 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp550

Below $5.50 per day purchasing power parity (2011)

ppp800

Below $8.00 per day purchasing power parity (2011)

ppp1100

Below $11.00 per day purchasing power parity (2011)

ppp365

Below $3.65 per day purchasing power parity (2017)

ppp685

Below $6.85 per day purchasing power parity (2017)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 50th percentile poverty line

percentile80

Below 60th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Mexico PPI table
  ppiMEX2024

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiMEX2024[ppiMEX2024$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiMEX2024, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the purchasing
  # power parity at $1.00
  ppiScore <- 50
  ppiMEX2024[ppiMEX2024$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Mali

Description

Poverty Probability Index (PPI) lookup table for Mali

Usage

ppiMLI2010

Format

A data frame with 6 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nlFood

Food poverty line

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Mali PPI table
  ppiMLI2010

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiMLI2010[ppiMLI2010$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiMLI2010, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiMLI2010[ppiMLI2010$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Myanmar

Description

Poverty Probability Index (PPI) lookup table for Myanmar

Usage

ppiMMR2012

Format

A data frame with 8 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Myanmar PPI table
  ppiMMR2012

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiMMR2012[ppiMMR2012$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiMMR2012, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiMMR2012[ppiMMR2012$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Myanmar

Description

Poverty Probability Index (PPI) lookup table for Myanmar

Usage

ppiMMR2019

Format

A data frame with 20 columns and 101 rows:

score

PPI score

nl100

National poverty line (100)

extreme

National poverty line (150)

nl150

National poverty line (200)

nl200

Below $1.90 per day purchasing power parity (2011)

ppp100

Below $3.20 per day purchasing power parity (2011)

ppp190

Below $5.50 per day purchasing power parity (2011)

ppp320

Below $8.00 per day purchasing power parity (2011)

ppp550

Below $11.00 per day purchasing power parity (2011)

ppp800

Below $15.00 per day purchasing power parity (2011)

ppp1100

Below $21.70 per day purchasing power parity (2011)

ppp1500

Below 20th percentile poverty line

ppp2170

Below 40th percentile poverty line

ppp125

Below 50th percentile poverty line

ppp250

Below 60th percentile poverty line

ppp500

Below 80th percentile poverty line

percentile20

NA

percentile40

NA

percentile60

NA

percentile80

NA

Source

https://www.povertyindex.org

Examples

  # Access Myanmar PPI table
  ppiMMR2019

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiMMR2019[ppiMMR2019$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiMMR2019, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiMMR2019[ppiMMR2019$score == ppiScore, "extreme"]

Poverty Probability Index (PPI) lookup table for Mongolia

Description

Poverty Probability Index (PPI) lookup table for Mongolia

Usage

ppiMNG2016

Format

A data frame with 18 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

half100

Poorest half below 100% national

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp310

Below $3.10 per day purchasing power parity (2011)

ppp380

Below $3.80 per day purchasing power parity (2011)

ppp400

Below $4.00 per day purchasing power parity (2011)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile50

Below 50th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Mongolia PPI table
  ppiMNG2016

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiMNG2016[ppiMNG2016$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiMNG2016, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiMNG2016[ppiMNG2016$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Mozambique

Description

Poverty Probability Index (PPI) lookup table for Mozambique

Usage

ppiMOZ2013

Format

A data frame with 7 columns and 101 rows:

score

PPI score

ppp100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Mozambique PPI table
  ppiMOZ2013

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiMOZ2013[ppiMOZ2013$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiMOZ2013, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiMOZ2013[ppiMOZ2013$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Mozambique

Description

This PPI was created in April 2019 using Mozambique’s 2014/15 Inquérito Sobre Orçamento Familiar Survey and was released in May 2019.

Usage

ppiMOZ2019

Format

A data frame with 15 columns and 101 rows:

score

PPI score

nl100

National poverty line (100)

nl150

National poverty line (150)

nl200

National poverty line (200)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

ppp800

Below $8.00 per day purchasing power parity (2011)

ppp1100

Below $11.00 per day purchasing power parity (2011)

ppp1500

Below $15.00 per day purchasing power parity (2011)

ppp2170

Below $21.70 per day purchasing power parity (2011)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 50th percentile poverty line

percentile80

Below 60th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Mozambique PPI table
  ppiMOZ2019

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiMOZ2019[ppiMOZ2019$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiMOZ2019, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line is used
  ppiScore <- 50
  ppiMOZ2019[ppiMOZ2019$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Mozambique

Description

The latest version of the PPI for Mozambique was created in June 2024 by Innovations for Poverty Action (IPA) based on data from the 2022 Demographic and Health Survey (DHS).

Usage

ppiMOZ2024

Format

A data frame with 6 columns and 101 rows:

score

PPI score

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile50

Below 50th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Mozambique PPI table
  ppiMOZ2024

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiMOZ2024[ppiMOZ2024$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities
  # corresponding to specific PPI score
  ppiScore <- 50
  subset(ppiMOZ2024, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line is used
  ppiScore <- 50
  ppiMOZ2024[ppiMOZ2024$score == ppiScore, "percentile80"]

Poverty Probability Index (PPI) lookup table for Malawi using legacy poverty definitions

Description

Poverty Probability Index (PPI) lookup table for Malawi using legacy poverty definitions

Usage

ppiMWI2015

Format

A data frame with 3 columns and 101 rows:

score

PPI score

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Malawi PPI table
  ppiMWI2015

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiMWI2015[ppiMWI2015$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiMWI2015, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, below $1.25
  # purchasing power parity (2005)
  ppiScore <- 50
  ppiMWI2015[ppiMWI2015$score == ppiScore, "ppp125"]

Poverty Probability Index (PPI) lookup table for Malawi using government poverty definitions

Description

Poverty Probability Index (PPI) lookup table for Malawi using government poverty definitions

Usage

ppiMWI2015_gov

Format

A data frame with 14 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

half100

Poorest half below 100% national

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

ppp844

Below $8.44 per day purchasing power parity (2005)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp310

Below $3.10 per day purchasing power parity (2011)

ppp1000

Below $10.00 per day purchasing power parity (2011)

Source

https://www.povertyindex.org

Examples

  # Access Malawi PPI table
  ppiMWI2015_gov

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiMWI2015_gov[ppiMWI2015_gov$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiMWI2015_gov, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiMWI2015_gov[ppiMWI2015_gov$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Malawi using PBM poverty definitions

Description

Poverty Probability Index (PPI) lookup table for Malawi using PBM poverty definitions

Usage

ppiMWI2015_pbm

Format

A data frame with 13 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

half100

Poorest half below 100% national

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

ppp844

Below $8.44 per day purchasing power parity (2005)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp310

Below $3.10 per day purchasing power parity (2011)

Source

https://www.povertyindex.org

Examples

  # Access Malawi PPI table
  ppiMWI2015_pbm

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiMWI2015_pbm[ppiMWI2015_pbm$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiMWI2015_pbm, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiMWI2015_pbm[ppiMWI2015_pbm$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Malawi

Description

Poverty Probability Index (PPI) lookup table for Malawi

Usage

ppiMWI2020

Format

A data frame with 16 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

extreme

Extreme poverty line

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp100

Below $1.00 per day purchasing power parity (2011)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 50th percentile poverty line

percentile80

Below 60th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Malawi PPI table
  ppiMWI2020

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiMWI2020[ppiMWI2020$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiMWI2020, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiMWI2020[ppiMWI2020$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Malawi for 2023

Description

Poverty Probability Index (PPI) lookup table for Malawi for 2023

Usage

ppiMWI2023

Format

A data frame with 13 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

food

Food poverty line

ppp215

Below $2.15 per day purchasing power parity (2017)

ppp365

Below $3.65 per day purchasing power parity (2017)

ppp685

Below $6.85 per day purchasing power parity (2017)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 50th percentile poverty line

percentile80

Below 60th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Malawi PPI table
  ppiMWI2023

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiMWI2023[ppiMWI2023$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiMWI2023, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiMWI2023[ppiMWI2023$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Namibia

Description

Poverty Probability Index (PPI) lookup table for Namibia

Usage

ppiNAM2013

Format

A data frame with 9 columns and 101 rows:

score

PPI score

nl100

National lower poverty line (100%)

nu100

National upper poverty line (100%)

nu150

National upper poverty line (150%)

nu200

National upper poverty line (200%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Namibia PPI table
  ppiNAM2013

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiNAM2013[ppiNAM2013$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiNAM2013, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiNAM2013[ppiNAM2013$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Niger

Description

Poverty Probability Index (PPI) lookup table for Niger

Usage

ppiNER2013

Format

A data frame with 9 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Niger PPI table
  ppiNER2013

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiNER2013[ppiNER2013$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiNER2013, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiNER2013[ppiNER2013$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Nigeria

Description

Poverty Probability Index (PPI) lookup table for Nigeria

Usage

ppiNGA2015

Format

A data frame with 13 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

half100

Poorest half below 100% national

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp400

Below $4.00 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp310

Below $3.10 per day purchasing power parity (2011)

Source

https://www.povertyindex.org

Examples

  # Access Nigeria PPI table
  ppiNGA2015

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiNGA2015[ppiNGA2015$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiNGA2015, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiNGA2015[ppiNGA2015$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Nicaragua

Description

Poverty Probability Index (PPI) lookup table for Nicaragua

Usage

ppiNIC2013

Format

A data frame with 10 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp375

Below $3.75 per day purchasing power parity (2005)

ppp800

Below $8.00 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Nicaragua PPI table
  ppiNIC2013

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiNIC2013[ppiNIC2013$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiNIC2013, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiNIC2013[ppiNIC2013$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Nepal using legacy poverty definitions

Description

Poverty Probability Index (PPI) lookup table for Nepal using legacy poverty definitions

Usage

ppiNPL2013

Format

A data frame with 4 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Nepal PPI table
  ppiNPL2013

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiNPL2013[ppiNPL2013$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiNPL2013, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiNPL2013[ppiNPL2013$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Nepal using new poverty definitions

Description

Poverty Probability Index (PPI) lookup table for Nepal using new poverty definitions

Usage

ppiNPL2013_a

Format

A data frame with 9 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Nepal PPI table
  ppiNPL2013_a

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiNPL2013_a[ppiNPL2013_a$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiNPL2013_a, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiNPL2013_a[ppiNPL2013_a$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Pakistan

Description

Poverty Probability Index (PPI) lookup table for Pakistan

Usage

ppiPAK2009

Format

A data frame with 10 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl50

National poverty line (50%)

nl75

National poverty line (75%)

nl125

National poverty line (125%)

nl200

National poverty line (200%)

extreme

USAID extreme poverty

ppp125

Poorest half below 100 national

ppp250

Below $1.25 per day purchasing power parity (2005)

ppp375

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Pakistan PPI table
  ppiPAK2009

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiPAK2009[ppiPAK2009$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiPAK2009, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiPAK2009[ppiPAK2009$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Peru

Description

Poverty Probability Index (PPI) lookup table for Peru

Usage

ppiPER2012

Format

A data frame with 9 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp375

Below $3.75 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Peru PPI table
  ppiPER2012

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiPER2012[ppiPER2012$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiPER2012, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiPER2012[ppiPER2012$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Peru

Description

Poverty Probability Index (PPI) lookup table for Peru

Usage

ppiPER2018

Format

A data frame with 19 columns and 101 rows:

score

PPI score

extreme

Extreme national poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

ppp800

Below $8.00 per day purchasing power parity (2011)

ppp1100

Below $11.00 per day purchasing power parity (2011)

ppp1500

Below $15.00 per day purchasing power parity (2011)

ppp2170

Below $21.70 per day purchasing power parity (2011)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Poverty Probability Index (PPI) lookup table for Peru based on data from the 2022 Encuesta Nacional de Hogares (ENAHO)

Description

Poverty Probability Index (PPI) lookup table for Peru based on data from the 2022 Encuesta Nacional de Hogares (ENAHO)

Usage

ppiPER2024

Format

A data frame with 15 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp215

Below $2.15 per day purchasing power parity (2017)

ppp365

Below $3.65 per day purchasing power parity (2017)

ppp685

Below $6.85 per day purchasing power parity (2017)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Peru PPI table
  ppiPER2024

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiPER2024[ppiPER2024$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiPER2024, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiPER2024[ppiPER2024$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Philippines using legacy poverty definitions

Description

Poverty Probability Index (PPI) lookup table for Philippines using legacy poverty definitions

Usage

ppiPHL2014

Format

A data frame with 6 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

ppp432

Below $4.32 per day purchasing power parity (1993)

Source

https://www.povertyindex.org

Examples

  # Access Philippines PPI table
  ppiPHL2014

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiPHL2014[ppiPHL2014$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiPHL2014, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiPHL2014[ppiPHL2014$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Philippines using new poverty definitions

Description

Poverty Probability Index (PPI) lookup table for Philippines using new poverty definitions

Usage

ppiPHL2014_a

Format

A data frame with 11 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

median

Poorest half below 100% national

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp310

Below $3.10 per day purchasing power parity (2011)

Source

https://www.povertyindex.org

Examples

  # Access Philippines PPI table
  ppiPHL2014_a

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiPHL2014_a[ppiPHL2014_a$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiPHL2014_a, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiPHL2014_a[ppiPHL2014_a$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Philippines

Description

Poverty Probability Index (PPI) lookup table for Philippines

Usage

ppiPHL2018

Format

A data frame with 18 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

food

Food poverty line

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

ppp800

Below $8.00 per day purchasing power parity (2011)

ppp1100

Below $11.00 per day purchasing power parity (2011)

ppp1500

Below $15.00 per day purchasing power parity (2011)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Poverty Probability Index (PPI) lookup table for Philippines for 2023

Description

Poverty Probability Index (PPI) lookup table for Philippines for 2023

Usage

ppiPHL2023

Format

A data frame with 13 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

food

Food poverty line

ppp215

Below $2.15 per day purchasing power parity (2017)

ppp365

Below $3.65 per day purchasing power parity (2017)

ppp685

Below $6.85 per day purchasing power parity (2017)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Poverty Probability Index (PPI) lookup table for Papua New Guinea 2023

Description

Poverty Probability Index (PPI) lookup table for Papua New Guinea 2023

Usage

ppiPNG2023

Format

A data frame with 9 columns and 101 rows:

score

PPI score

percentile20_wi

Below 20th percentile wealth index

percentile40_wi

Below 40th percentile wealth index

percentile60_wi

Below 60th percentile wealth index

percentile80_wi

Below 80th percentile wealth index

percentile20_wi_ur

Below 20th percentile wealth index urban/rural

percentile40_wi_ur

Below 40th percentile wealth index urban/rural

percentile60_wi_ur

Below 60th percentile wealth index urban/rural

percentile80_wi_ur

Below 80th percentile wealth index urban/rural

Source

https://www.povertyindex.org

Examples

  # Access Papua New Guinea PPI table
  ppiPNG2023

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiPNG2023[ppiPNG2023$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiPNG2023, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiPNG2023[ppiPNG2023$score == ppiScore, "percentile20_wi"]

Poverty Probability Index (PPI) lookup table for Paraguay

Description

Poverty Probability Index (PPI) lookup table for Paraguay

Usage

ppiPRY2012

Format

A data frame with 8 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Paraguay PPI table
  ppiPRY2012

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiPRY2012[ppiPRY2012$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiPRY2012, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiPRY2012[ppiPRY2012$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Palestine

Description

Poverty Probability Index (PPI) lookup table for Palestine

Usage

ppiPSE2014

Format

A data frame with 11 columns and 101 rows:

score

PPI score

deep

Deep poverty

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

median

Poorest half below 100% national

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp375

Below $3.75 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Palestine PPI table
  ppiPSE2014

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiPSE2014[ppiPSE2014$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiPSE2014, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiPSE2014[ppiPSE2014$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Romania

Description

Poverty Probability Index (PPI) lookup table for Romania

Usage

ppiROU2009

Format

A data frame with 9 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

extreme

USAID extreme poverty

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp375

Below $3.75 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

laeken

Laeken poverty line

Source

https://www.povertyindex.org

Examples

  # Access Romania PPI table
  ppiROU2009

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiROU2009[ppiROU2009$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiROU2009, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiROU2009[ppiROU2009$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Russia

Description

Poverty Probability Index (PPI) lookup table for Russia

Usage

ppiRUS2010

Format

A data frame with 4 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

extreme

USAID extreme poverty

ppp625

Below $6.25 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Russia PPI table
  ppiRUS2010

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiRUS2010[ppiRUS2010$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiRUS2010, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiRUS2010[ppiRUS2010$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Rwanda

Description

Poverty Probability Index (PPI) lookup table for Rwanda

Usage

ppiRWA2016

Format

A data frame with 11 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

half100

Poorest half below 100% national

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

ppp844

Below $8.44 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Rwanda PPI table
  ppiRWA2016

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiRWA2016[ppiRWA2016$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiRWA2016, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiRWA2016[ppiRWA2016$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Rwanda

Description

Poverty Probability Index (PPI) lookup table for Rwanda

Usage

ppiRWA2019

Format

A data frame with 20 columns and 101 rows:

score

PPI score

nl100

National poverty line (100)

extreme

National poverty line (150)

nl150

National poverty line (200)

nl200

Below $1.90 per day purchasing power parity (2011)

ppp100

Below $3.20 per day purchasing power parity (2011)

ppp190

Below $5.50 per day purchasing power parity (2011)

ppp320

Below $8.00 per day purchasing power parity (2011)

ppp550

Below $11.00 per day purchasing power parity (2011)

ppp800

Below $15.00 per day purchasing power parity (2011)

ppp1100

Below $21.70 per day purchasing power parity (2011)

ppp1500

Below 20th percentile poverty line

ppp2170

Below 40th percentile poverty line

ppp125

Below 50th percentile poverty line

ppp250

Below 60th percentile poverty line

ppp500

Below 80th percentile poverty line

percentile20

NA

percentile40

NA

percentile60

NA

percentile80

NA

Source

https://www.povertyindex.org

Examples

  # Access Rwanda PPI table
  ppiRWA2019

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiRWA2019[ppiRWA2019$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiRWA2019, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line is used
  ppiScore <- 50
  ppiRWA2019[ppiRWA2019$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Senegal

Description

Poverty Probability Index (PPI) lookup table for Senegal

Usage

ppiSEN2009

Format

A data frame with 11 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nlFood

Food poverty line

extreme

USAID extreme poverty

nl75

National poverty line (75%)

nl125

National poverty line (125%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp375

Below $3.75 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Senegal PPI table
  ppiSEN2009

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiSEN2009[ppiSEN2009$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiSEN2009, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiSEN2009[ppiSEN2009$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Senegal

Description

Poverty Probability Index (PPI) lookup table for Senegal

Usage

ppiSEN2018

Format

A data frame with 16 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nlFood

Food poverty line

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp100

Below $1.00 per day purchasing power parity (2011)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Poverty Probability Index (PPI) lookup table for Sierra Leone

Description

Poverty Probability Index (PPI) lookup table for Sierra Leone

Usage

ppiSLE2011

Format

A data frame with 8 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nlFood

Food poverty line

nl75

National poverty line (75%)

nl150

National poverty line (150%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Sierra Leone PPI table
  ppiSLE2011

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiSLE2011[ppiSLE2011$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiSLE2011, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiSLE2011[ppiSLE2011$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for El Salvador

Description

Poverty Probability Index (PPI) lookup table for El Salvador

Usage

ppiSLV2010

Format

A data frame with 9 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nlFood

Food poverty line

nl150

National poverty line (150%)

nl200

National poverty line (200%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp375

Below $3.75 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access El Salvador PPI table
  ppiSLV2010

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiSLV2010[ppiSLV2010$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiSLV2010, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiSLV2010[ppiSLV2010$score == ppiScore, "extreme"]

Poverty Probability Index (PPI) lookup table for El Salvador for 2021

Description

Poverty Probability Index (PPI) lookup table for El Salvador for 2021

Usage

ppiSLV2021

Format

A data frame with 21 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl_extreme

National poverty line (extreme)

ppp215

Below $2.15 per day purchasing power parity (2017)

ppp365

Below $3.65 per day purchasing power parity (2017)

ppp685

Below $6.85 per day purchasing power parity (2017)

ppp100

Below $1.00 per day purchasing power parity (2011)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

ppp800

Below $8.00 per day purchasing power parity (2011)

ppp1100

Below $11.00 per day purchasing power parity (2011)

ppp1500

Below $15.00 per day purchasing power parity (2011)

ppp2170

Below $21.70 per day purchasing power parity (2011)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access El Salvador PPI table
  ppiSLV2021

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiSLV2021[ppiSLV2021$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiSLV2021, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiSLV2021[ppiSLV2021$score == ppiScore, "nl_extreme"]

Poverty Probability Index (PPI) lookup table for Syria

Description

Poverty Probability Index (PPI) lookup table for Syria

Usage

ppiSYR2010

Format

A data frame with 8 columns and 101 rows:

score

PPI score

nu100

National upper poverty line (100%)

nl100

National lower poverty line (100%)

nu150

National upper poverty line (150%)

nu200

National upper poverty line (200%)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp375

Below $3.75 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Syria PPI table
  ppiSYR2010

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiSYR2010[ppiSYR2010$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiSYR2010, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiSYR2010[ppiSYR2010$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Togo

Description

Poverty Probability Index (PPI) lookup table for Togo

Usage

ppiTGO2018

Format

A data frame with 15 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp100

Below $1.00 per day purchasing power parity (2011)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Poverty Probability Index (PPI) lookup table for Togo for 2023

Description

Poverty Probability Index (PPI) lookup table for Togo for 2023

Usage

ppiTGO2023

Format

A data frame with 14 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp215

Below $2.15 per day purchasing power parity (2017)

ppp365

Below $3.65 per day purchasing power parity (2017)

ppp685

Below $6.85 per day purchasing power parity (2017)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Poverty Probability Index (PPI) lookup table for Tajikistan

Description

Poverty Probability Index (PPI) lookup table for Tajikistan

Usage

ppiTJK2015

Format

A data frame with 9 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

median

Poorest half below 100% national

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Tajikistan PPI table
  ppiTJK2015

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiTJK2015[ppiTJK2015$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiTJK2015, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiTJK2015[ppiTJK2015$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Timor Leste

Description

Poverty Probability Index (PPI) lookup table for Timor Leste

Usage

ppiTLS2013

Format

A data frame with 8 columns and 101 rows:

score

PPI score

nl100

National lower poverty line (100%)

nu100

National upper poverty line (100%)

nu150

National upper poverty line (150%)

nu200

National upper poverty line (200%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Timor Leste PPI table
  ppiTLS2013

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiTLS2013[ppiTLS2013$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiTLS2013, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiTLS2013[ppiTLS2013$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Tanzania

Description

Poverty Probability Index (PPI) lookup table for Tanzania

Usage

ppiTZA2016

Format

A data frame with 19 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp310

Below $3.10 per day purchasing power parity (2011)

ppp380

Below $3.80 per day purchasing power parity (2011)

ppp400

Below $4.00 per day purchasing power parity (2011)

half100

Poorest half below 100 national

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile50

Below 50th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Tanzania PPI table
  ppiTZA2016

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiTZA2016[ppiTZA2016$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiTZA2016, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiTZA2016[ppiTZA2016$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Tanzania 2022

Description

Poverty Probability Index (PPI) lookup table for Tanzania 2022

Usage

ppiTZA2022

Format

A data frame with 21 columns and 100 rows:

score

PPI score

nl_upper

National upper poverty line

nl_lower

National lower poverty line

extreme

Extreme poverty line

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp100

Below $1.00 per day purchasing power parity (2011)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

ppp800

Below $8.00 per day purchasing power parity (2011)

ppp1100

Below $11.00 per day purchasing power parity (2011)

ppp1500

Below $15.00 per day purchasing power parity (2011)

ppp2170

Below $21.70 per day purchasing power parity (2011)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 50th percentile poverty line

percentile80

Below 60th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Tanzania PPI table
  ppiTZA2022

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiTZA2022[ppiTZA2022$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiTZA2022, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the USAID
  # extreme poverty definition
  ppiScore <- 50
  ppiTZA2022[ppiTZA2022$score == ppiScore, "extreme"]

Poverty Probability Index (PPI) lookup table for Uganda

Description

Poverty Probability Index (PPI) lookup table for Uganda

Usage

ppiUGA2015

Format

A data frame with 13 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

half100

Poorest half below 100% national

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp400

Below $4.00 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

ppp844

Below $8.44 per day purchasing power parity (2005)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp310

Below $3.10 per day purchasing power parity (2011)

Source

https://www.povertyindex.org

Examples

  # Access Uganda PPI table
  ppiUGA2015

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiUGA2015[ppiUGA2015$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiUGA2015, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiUGA2015[ppiUGA2015$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Uganda 2022

Description

Poverty Probability Index (PPI) lookup table for Uganda 2022

Usage

ppiUGA2022

Format

A data frame with 21 columns and 100 rows:

score

PPI score

ppp100

Below $1.00 per day purchasing power parity (2011)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

ppp800

Below $8.00 per day purchasing power parity (2011)

ppp1100

Below $11.00 per day purchasing power parity (2011)

ppp1500

Below $15.00 per day purchasing power parity (2011)

ppp2170

Below $21.70 per day purchasing power parity (2011)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 50th percentile poverty line

percentile80

Below 60th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Uganda PPI table
  ppiUGA2022

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiUGA2022[ppiUGA2022$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiUGA2022, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the purchasing
  # power parity at $1.00
  ppiScore <- 50
  ppiUGA2022[ppiUGA2022$score == ppiScore, "ppp100"]

Poverty Probability Index (PPI) lookup table for Vietnam

Description

Poverty Probability Index (PPI) lookup table for Vietnam

Usage

ppiVNM2009

Format

A data frame with 8 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nlFood

Food poverty line

extreme

USAID extreme poverty line

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp175

Below $1.75 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

molisa

MOLISA poverty line

Source

https://www.povertyindex.org

Examples

  # Access Vietnam PPI table
  ppiVNM2009

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiVNM2009[ppiVNM2009$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiVNM2009, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiVNM2009[ppiVNM2009$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for Vietnam for 2023

Description

Poverty Probability Index (PPI) lookup table for Vietnam for 2023

Usage

ppiVNM2023

Format

A data frame with 8 columns and 101 rows:

score

PPI score

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access Vietnam PPI table
  ppiVNM2023

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiVNM2023[ppiVNM2023$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiVNM2023, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiVNM2023[ppiVNM2023$score == ppiScore, "percentile20"]

Poverty Probability Index (PPI) lookup table for Yemen

Description

Poverty Probability Index (PPI) lookup table for Yemen

Usage

ppiYEM2009

Format

A data frame with 8 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nlFood

Food poverty line

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp300

Below $3.00 per day purchasing power parity (2005)

ppp400

Below $4.00 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access Yemen PPI table
  ppiYEM2009

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiYEM2009[ppiYEM2009$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiYEM2009, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiYEM2009[ppiYEM2009$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for South Africa

Description

Poverty Probability Index (PPI) lookup table for South Africa

Usage

ppiZAF2009

Format

A data frame with 8 columns and 101 rows:

score

PPI score

nl100

National poverty line (100%)

nlFood

Food poverty line

extreme

USAID extreme poverty

nu100

National upper poverty line (100%)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp400

Below $4.00 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Examples

  # Access South Africa PPI table
  ppiZAF2009

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiZAF2009[ppiZAF2009$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiZAF2009, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiZAF2009[ppiZAF2009$score == ppiScore, "nl100"]

Poverty Probability Index (PPI) lookup table for South Africa for 2023

Description

Poverty Probability Index (PPI) lookup table for South Africa for 2023

Usage

ppiZAF2023

Format

A data frame with 6 columns and 101 rows:

score

PPI score

wealth_index

Wealth index poverty line

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Examples

  # Access South Africa PPI table
  ppiZAF2023

  # Given a specific PPI score (from 0 - 100), get the row of poverty
  # probabilities from PPI table it corresponds to
  ppiScore <- 50
  ppiZAF2023[ppiZAF2023$score == ppiScore, ]

  # Use subset() function to get the row of poverty probabilities corresponding
  # to specific PPI score
  ppiScore <- 50
  subset(ppiZAF2023, score == ppiScore)

  # Given a specific PPI score (from 0 - 100), get a poverty probability
  # based on a specific poverty definition. In this example, the national
  # poverty line definition
  ppiScore <- 50
  ppiZAF2023[ppiZAF2023$score == ppiScore, "wealth_index"]

Poverty Probability Index (PPI) lookup table for Zambia

Description

Poverty Probability Index (PPI) lookup table for Zambia

Usage

ppiZMB2013_cso

Format

A data frame with 9 columns and 101 rows:

score

PPI score

food

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Poverty Probability Index (PPI) lookup table for Zambia

Description

Poverty Probability Index (PPI) lookup table for Zambia

Usage

ppiZMB2013_got

Format

A data frame with 9 columns and 101 rows:

score

PPI score

food

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

extreme

USAID extreme poverty

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

Source

https://www.povertyindex.org

Poverty Probability Index (PPI) lookup table for Zambia

Description

Poverty Probability Index (PPI) lookup table for Zambia

Usage

ppiZMB2017

Format

A data frame with 17 columns and 101 rows:

score

PPI score

food

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp200

Below $2.00 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp310

Below $3.10 per day purchasing power parity (2011)

median

Median poverty line

percentile20

Below 20th percentile poverty line

percentile40

Below 50th percentile poverty line

percentile50

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org

Poverty Probability Index (PPI) lookup table for Zambia

Description

Poverty Probability Index (PPI) lookup table for Zambia

Usage

ppiZMB2017_a

Format

A data frame with 16 columns and 101 rows:

score

PPI score

nlFood

Food poverty line

nl100

National poverty line (100%)

nl150

National poverty line (150%)

nl200

National poverty line (200%)

ppp125

Below $1.25 per day purchasing power parity (2005)

ppp250

Below $2.50 per day purchasing power parity (2005)

ppp500

Below $5.00 per day purchasing power parity (2005)

ppp100

Below $1.00 per day purchasing power parity (2011)

ppp190

Below $1.90 per day purchasing power parity (2011)

ppp320

Below $3.20 per day purchasing power parity (2011)

ppp550

Below $5.50 per day purchasing power parity (2011)

percentile20

Below 20th percentile poverty line

percentile40

Below 40th percentile poverty line

percentile60

Below 60th percentile poverty line

percentile80

Below 80th percentile poverty line

Source

https://www.povertyindex.org