Poverty and Inequality Platform (PIP): Percentiles(v9)

World Bank·January 22, 2025

Description

Survey years

The Poverty and Inequality Platform: Percentiles database reports 100 points ranked according to the consumption or income distributions for country-year survey data available in the World Bank’s Poverty and Inequality Platform (PIP). There are, as of January 12, 2023, a total of 2,087 country-survey-year data points, which include 1,685 distributions based on microdata, 234 based on binned data, and 163 based on grouped data. For the grouped data, the percentiles are derived by fitting a parametric Lorenz distribution following Datt (1998). For ease of communication, all distributions are referred to as survey data henceforth, and the welfare variable is referred to as income.


Details

Each distribution reports 100 points per country per survey year ranked from the smallest income (percentile 1) to the largest (percentile 100). For each income percentile, the database reports the following variables: The average daily per person income within the percentile group (avg_welfare); the income value for the upper threshold of the percentile group (quantile); the share of the population in the percentile group (which might deviate slightly from 1% due to coarseness in the raw data) (pop_share); and the share of income held by each percentile group (welfare_share). In addition, the database reports the welfare measure (welfare_type) used in the survey data—income or consumption—and the region covered (reporting_level)—urban, rural, or national. The distributions are available in 2011 or 2017 PPP$.


Stata code example

Below is an example of how to use the database to generate an anonymous growth incidence curve for Bangladesh between 2005 and 2010 

keep if country_code=="BGD" & reporting_level==1 & ///

inlist(year,2005,2010)

bys country_code percentile (year): ///

gen growth05_10 = (avg_welfare/avg_welfare[_n-1] - 1) * 100

twoway connected growth05_10 percentile, ytitle("%") ///

title("Cumulative growth in Bangladesh, 2005-2010")


Metadata

Some metada of the data set, such as the version of the data, can be found by typing `char dir` in the Stata console. Alternatively, please refer to this portal, which contains all the information available.


PIP version date: 20230919



Lineup years

Not yet available

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Author
World Bank
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CreatedDecember 13, 2023
Size24 MB
LicenseCC0
Dictionary1 tables
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public datasets
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Poverty and Inequality Platform (PIP): Percentiles(v9)

World Bank·January 22, 2025

Description

Survey years

The Poverty and Inequality Platform: Percentiles database reports 100 points ranked according to the consumption or income distributions for country-year survey data available in the World Bank’s Poverty and Inequality Platform (PIP). There are, as of January 12, 2023, a total of 2,087 country-survey-year data points, which include 1,685 distributions based on microdata, 234 based on binned data, and 163 based on grouped data. For the grouped data, the percentiles are derived by fitting a parametric Lorenz distribution following Datt (1998). For ease of communication, all distributions are referred to as survey data henceforth, and the welfare variable is referred to as income.


Details

Each distribution reports 100 points per country per survey year ranked from the smallest income (percentile 1) to the largest (percentile 100). For each income percentile, the database reports the following variables: The average daily per person income within the percentile group (avg_welfare); the income value for the upper threshold of the percentile group (quantile); the share of the population in the percentile group (which might deviate slightly from 1% due to coarseness in the raw data) (pop_share); and the share of income held by each percentile group (welfare_share). In addition, the database reports the welfare measure (welfare_type) used in the survey data—income or consumption—and the region covered (reporting_level)—urban, rural, or national. The distributions are available in 2011 or 2017 PPP$.


Stata code example

Below is an example of how to use the database to generate an anonymous growth incidence curve for Bangladesh between 2005 and 2010 

keep if country_code=="BGD" & reporting_level==1 & ///

inlist(year,2005,2010)

bys country_code percentile (year): ///

gen growth05_10 = (avg_welfare/avg_welfare[_n-1] - 1) * 100

twoway connected growth05_10 percentile, ytitle("%") ///

title("Cumulative growth in Bangladesh, 2005-2010")


Metadata

Some metada of the data set, such as the version of the data, can be found by typing `char dir` in the Stata console. Alternatively, please refer to this portal, which contains all the information available.


PIP version date: 20230919



Lineup years

Not yet available

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