Poverty gap index: Difference between revisions
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{{short description|measure of the intensity of poverty}} |
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[[File:South Africa Poverty Gap Index (5457360807).jpg|thumb|Map with the poverty gap index in South Africa, Mozambique, Malawi and Madagascar.]] |
[[File:South Africa Poverty Gap Index (5457360807).jpg|thumb|Map with the poverty gap index in South Africa, Mozambique, Malawi and Madagascar.]] |
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The '''poverty gap index''' is a measure of the intensity of [[poverty]]. It is defined as the average poverty gap in the population as a proportion of the [[poverty line]].<ref>{{cite web|title=Millennium Development Goal Indicators|publisher=United Nations|year=2008|url=http://mdgs.un.org/unsd/mdg/Metadata.aspx?IndicatorId=0&SeriesId=584}}</ref> |
The '''poverty gap index''' is a measure of the intensity of [[poverty]]. It is defined as the average poverty gap in the population as a proportion of the [[poverty line]].<ref>{{cite web|title=Millennium Development Goal Indicators|publisher=United Nations|year=2008|url=http://mdgs.un.org/unsd/mdg/Metadata.aspx?IndicatorId=0&SeriesId=584|archive-url=https://web.archive.org/web/20080522070645/http://mdgs.un.org/unsd/mdg/Metadata.aspx?IndicatorId=0&SeriesId=584|archive-date=2008-05-22}}</ref> |
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The poverty gap index is an improvement over the poverty measure [[ |
The poverty gap index is an improvement over the poverty measure [[head count ratio]] which simply counts all the people below a poverty line, in a given population, and considers them equally poor.<ref name=sen>{{cite journal|title=Poverty: An Ordinal Approach to Measurement|last=Sen|first=Amartya |author-link=Amartya Sen|journal=[[Econometrica]]|volume= 44|number= 2|date=March 1976|pages= 219–231|jstor=1912718|doi=10.2307/1912718}}</ref> Poverty gap index estimates the depth of poverty by considering how far, on the average, the poor are from that poverty line.<ref>{{cite book|url=https://books.google.com/books?id=Bmx00pzs3lsC|title=Poverty and Inequality |series=Studies in Social Inequality|editor-last1=Grusky|editor-first1=David B.|editor-link1=David Grusky|editor-last2=Kanbur|editor-first2=Ravi |editor-link2=Ravi Kanbur|year=2006|place=Stanford, California|publisher=Stanford University Press|page={{page needed|date=November 2020}}|isbn=978-0-8047-4843-8}}</ref> |
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==Definition== |
==Definition== |
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The poverty gap index sometimes referred to as poverty gap ratio or pg index is defined as average of the ratio of the poverty gap to the poverty line.<ref>{{cite |
The poverty gap index sometimes referred to as poverty gap ratio or pg index is defined as average of the ratio of the poverty gap to the poverty line.<ref>{{cite book|title=Indicators for Monitoring the Millennium Development Goals|place=New York|publisher=United Nations |year=2003|page=9|url=http://mdgs.un.org/unsd/mdg/Resources/Attach/Indicators/HandbookEnglish.pdf}}</ref> It is expressed as a percentage of the poverty line for a country or region.<ref name=wb>{{cite web|title=Poverty Measures|publisher=[[World Bank]]|year=2009|url=http://info.worldbank.org/etools/docs/library/93518/Hung_0603/Hu_0603/Module4MeasuringPovertyMeasures.pdf|archive-url=https://web.archive.org/web/20120710075625/http://info.worldbank.org/etools/docs/library/93518/Hung_0603/Hu_0603/Module4MeasuringPovertyMeasures.pdf|archive-date=2012-07-10}}</ref> |
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===Significance=== |
===Significance=== |
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The most common method measuring and reporting poverty is the |
The most common method measuring and reporting poverty is the head count ratio, given as the percentage of population that is below the poverty line. For example, ''[[The New York Times]]'' in July 2012 reported the poverty head count ratio as 11.1% of [[demographics of the United States|American population]] in 1973, 15.2% in 1983 and 11.3% in 2000.<ref>{{cite news|last=Edelman|first=Peter |author-link=Peter Edelman|url= https://www.nytimes.com/2012/07/29/opinion/sunday/why-cant-we-end-poverty-in-america.html |title=Poverty in America: Why Can't We End It?|date=July 28, 2012|work=[[The New York Times]]|access-date=2020-11-20}}</ref> One of the undesirable features of the head count ratio is that it ignores the depth of poverty; if the poor become poorer, the head count index does not change.<ref>{{cite book|last=Ravallion|first=Martin |author-link=Martin Ravallion|url=http://documents1.worldbank.org/curated/en/965061468739145705/pdf/multi-page.pdf|title=Issues in Measuring and Modeling Poverty|date=June 1996|series=Policy Research Working Paper|volume=1615 |place=Washington, D.C.|publisher=[[World Bank]] |access-date=2020-11-20}}</ref> |
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Poverty gap index provides a clearer perspective on the depth of poverty. It enables poverty comparisons. It also helps provide an overall assessment of a region's progress in poverty |
Poverty gap index provides a clearer perspective on the depth of poverty. It enables poverty comparisons. It also helps provide an overall assessment of a region's progress in [[poverty reduction]] and the evaluation of specific public policies or private initiatives.<ref>{{cite web|title=Indicators of Sustainable Development|publisher=United Nations Department for Policy Coordination and Sustainable Development|year=2004|url=http://esl.jrc.it/envind/un_meths/UN_ME.htm|access-date=2012-08-10|archive-url=https://web.archive.org/web/20120421005418/http://esl.jrc.it/envind/un_meths/UN_ME.htm|archive-date=2012-04-21|url-status=dead}}</ref> |
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==Calculation== |
==Calculation== |
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The poverty gap index (PGI) is calculated as,<ref name=wb/> |
The poverty gap index (PGI) is calculated as,<ref name=wb/> |
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::<math>{\rm PGI} = |
::<math>{\rm PGI} = \frac{1}{N} \sum_{j=1}^{q} \left( \frac{z-y_j}{z} \right)</math> |
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or |
or |
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::<math>{\rm PGI} = |
::<math>{\rm PGI} = \frac{1}{N} \sum_{j=1}^{N} \left( \frac{(z-y_j).1(y_j<z)}{z} \right)</math> |
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where <math>N</math> is the total population, <math>q</math> is the total population of poor who are living at or below the [[poverty threshold|poverty line]], <math>z</math> is the poverty line, and <math>y_j</math> is the income of the poor individual <math>j</math>. In this calculation, individuals whose income is above the poverty line have a gap of zero. |
where <math>N</math> is the total population, <math>q</math> is the total population of poor who are living at or below the [[poverty threshold|poverty line]], <math>z</math> is the poverty line, and <math>y_j</math> is the [[income]] of the poor individual <math>j</math>. In this calculation, individuals whose income is above the poverty line have a gap of zero. |
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By definition, the poverty gap index is a percentage between 0 and 100%. Sometimes it is reported as a fraction, between 0 and 1. A theoretical value of zero implies that no one in the population is below the poverty line. A theoretical value of 100% implies that everyone in the population has zero income. In some literature, poverty gap index is reported as <math>P_1</math> while the |
By definition, the poverty gap index is a percentage between 0 and 100%. Sometimes it is reported as a fraction, between 0 and 1. A theoretical value of zero implies that no one in the population is below the poverty line. A theoretical value of 100% implies that everyone in the population has zero income. In some literature, poverty gap index is reported as <math>P_1</math> while the head count ratio is reported as <math>P_0</math>.<ref name=wb0805>{{cite book|title=Introduction to Poverty Analysis|chapter=Poverty Measures, Chapter 4|chapter-url=http://siteresources.worldbank.org/PGLP/Resources/povertymanual_ch4.pdf |place=Washington, D.C.|publisher=[[World Bank Institute]]|date=August 2005|archive-url=https://web.archive.org/web/20120710075646/http://siteresources.worldbank.org/PGLP/Resources/povertymanual_ch4.pdf|archive-date=2012-07-10}}</ref> |
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==Features== |
==Features== |
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The poverty gap index can be interpreted as the average percentage shortfall in income for the population, from the poverty line.<ref name=wb/> |
The poverty gap index can be interpreted as the average percentage shortfall in income for the population, from the poverty line.<ref name=wb/> |
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If you multiply a country's poverty gap index by both the poverty line and the total number of individuals in the country you get the total amount of money needed to bring the poor in the population out of extreme poverty and up to the poverty line, assuming perfect targeting of transfers. For example, suppose a country has 10 million individuals, a poverty line of $500 per year and a poverty gap index of 5%. Then an average increase of $25 per individual per year would eliminate extreme poverty. Note that $25 is 5% of the poverty line. The total increase needed to eliminate poverty is US$250 million—$25 multiplied by 10 million individuals. |
If you multiply a country's poverty gap index by both the poverty line and the total number of individuals in the country you get the total amount of money needed to bring the poor in the population out of [[extreme poverty]] and up to the poverty line, assuming perfect targeting of transfers. For example, suppose a country has 10 million individuals, a poverty line of $500 per year and a poverty gap index of 5%. Then an average increase of $25 per individual per year would eliminate extreme poverty. Note that $25 is 5% of the poverty line. The total increase needed to eliminate poverty is US$250 million—$25 multiplied by 10 million individuals. |
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The poverty gap index is an important measure beyond the commonly used |
The poverty gap index is an important measure beyond the commonly used head count ratio. Two regions may have the similar head count ratio, but distinctly different poverty gap indices. A higher poverty gap index means that poverty is more severe. |
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The poverty gap index is additive. In other words, the index can be used as an aggregate poverty measure, as well as decomposed for various sub-groups of the population, such as by region, employment sector, education level, gender, age or ethnic group. |
The poverty gap index is additive. In other words, the index can be used as an aggregate poverty measure, as well as decomposed for various sub-groups of the population, such as by region, employment sector, education level, gender, age or ethnic group. |
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==Limitations== |
==Limitations== |
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Poverty gap index ignores the effect of inequality between the poor. It does not capture differences in the severity of poverty amongst the poor. As a theoretical example, consider two small neighborhoods where just two households each are below the official poverty line of US$500 income per year. In one case, household 1 has an income of US$100 per year and household 2 has an income of US$300 per year. In second case, the two households both have annual income of US$200 per year. The poverty gap index for both cases is same (60%), even though the first case has one household, with US$100 per year income, experiencing a more severe state of poverty. Scholars, therefore, consider poverty gap index as a moderate but incomplete improvement over poverty |
Poverty gap index ignores the effect of inequality between the poor. It does not capture differences in the severity of poverty amongst the poor. As a theoretical example, consider two small neighborhoods where just two households each are below the official poverty line of US$500 income per year. In one case, household 1 has an income of US$100 per year and household 2 has an income of US$300 per year. In second case, the two households both have annual income of US$200 per year. The poverty gap index for both cases is same (60%), even though the first case has one household, with US$100 per year income, experiencing a more severe state of poverty. Scholars, therefore, consider poverty gap index as a moderate but incomplete improvement over poverty head count ratio.<ref>{{Cite journal|url=https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.383.6488&rep=rep1&type=pdf|title=Absolute versus Relative Poverty|last=Foster |first=James E. |author-link=James Foster (economist)|journal=[[The American Economic Review]]|volume= 88|number= 2|date=May 1998|pages= 335–341|jstor=116944}}</ref> |
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Scholars such as Sen suggest poverty gap index offers quantitative improvement over simply counting the poor below the poverty line, but remains limited at the qualitative level. Focusing on precisely measuring income gap diverts the attention from qualitative aspects such as capabilities, skills and personal resources that may sustainably eradicate poverty. A better measure would focus on capabilities and consequent consumption side of impoverished households.<ref>{{cite |
Scholars such as [[Amartya Sen]] suggest poverty gap index offers quantitative improvement over simply counting the poor below the poverty line, but remains limited at the qualitative level. Focusing on precisely measuring [[economic inequality|income gap]] diverts the attention from qualitative aspects such as capabilities, skills and personal resources that may sustainably eradicate poverty. A better measure would focus on capabilities and consequent consumption side of impoverished households.<ref>{{cite magazine|title=Who Is Poor?|last=Morrell |first=Dan |magazine=[[Harvard Magazine]]|date=January–February 2011|url=http://harvardmagazine.com/2011/01/who-is-poor|access-date=2020-11-22}}</ref> These suggestions were initially controversial, and have over time inspired scholars to propose numerous refinements.<ref name=sen/><ref>{{cite journal|title=A Sociological Approach to the Measurement of Poverty: A Reply to Professor Peter Townsend|last=Sen |first=Amartya |journal=[[Oxford Economic Papers]]|volume= 37|number= 4|date=December 1985|pages= 669–676|jstor=2663049 |doi=10.1093/oxfordjournals.oep.a041716}}</ref><ref>{{cite journal|title=Poverty, Income Inequality, and Their Measures: Professor Sen's Axiomatic Approach Reconsidered|last=Takayama |first=Noriyuki |journal=Econometrica|volume= 47|number= 3|date=May 1979|pages= 747–759|jstor= 1910420|doi=10.2307/1910420}}</ref><ref>{{cite journal|title=Three 'I's of Poverty Curves, with an Analysis of UK Poverty Trends|last1=Jenkins|first1=Stephen P. |last2=Lambert|first2=Peter J. |journal=Oxford Economic Papers | date=July 1997|volume= 49|issue= 3|pages= 317–327|jstor=2663596 |doi=10.1093/oxfordjournals.oep.a028611}}</ref> |
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==Related measures== |
==Related measures== |
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The [[ |
The [[Foster–Greer–Thorbecke indices|Foster–Greer–Thorbecke metric]] is the general form of the PGI. The <math>FGT_\alpha</math> formula raises the summands to the power alpha, so that FGT0 is the head count index, FGT1 the PGI and FGT2 the squared PGI. |
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'''Squared poverty gap index''', also known poverty severity index or <math>P_2</math>, is related to poverty gap index. It is calculated by averaging the square of the poverty gap ratio. By squaring each poverty gap data, the measure puts more weight the further a poor person's observed income falls below the poverty line. The squared poverty gap index is one form of a weighted sum of poverty gaps, with the weight proportionate to the poverty gap.<ref name=wb0805/> |
'''Squared poverty gap index''', also known poverty severity index or <math>P_2</math>, is related to poverty gap index. It is calculated by averaging the square of the poverty gap ratio. By squaring each poverty gap data, the measure puts more weight the further a poor person's observed income falls below the poverty line. The squared poverty gap index is one form of a weighted sum of poverty gaps, with the weight proportionate to the poverty gap.<ref name=wb0805/> |
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'''Sen index''', sometimes referred to <math>P_{\text{SEN}}</math>, is related to poverty gap index (PGI).<ref name=sen/><ref name=vecchi>{{cite web|title=Poverty Measurement| |
'''Sen index''', sometimes referred to <math>P_{\text{SEN}}</math>, is related to poverty gap index (PGI).<ref name=sen/><ref name=vecchi>{{cite web|title=Poverty Measurement|last=Vecchi|first=Giovanni |publisher=World Bank|date=September 2007|url=http://siteresources.worldbank.org/PGLP/Resources/200709gv-03-povertymeasurement.pdf|archive-url=https://web.archive.org/web/20160303225039/http://siteresources.worldbank.org/PGLP/Resources/200709gv-03-povertymeasurement.pdf|archive-date=2016-03-03}}</ref> It is calculated as follows: |
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::<math> {\rm P_{\text{SEN}}} = H*G_z + PGI*(1-G_z) </math> |
::<math> {\rm P_{\text{SEN}}} = H*G_z + PGI*(1-G_z) </math> |
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where, <math>H</math> is the |
where, <math>H</math> is the head count ratio and <math>G_z</math> is the income Gini coefficient of only the people below the poverty line. |
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'''Watts index''', sometimes referred to <math>W</math>, is related to poverty gap index (PGI).<ref name=vecchi/> It is calculated as follows: |
'''Watts index''', sometimes referred to <math>W</math>, is related to poverty gap index (PGI).<ref name=vecchi/> It is calculated as follows: |
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::<math> {\rm W} = |
::<math> {\rm W} = \frac{1}{N} \sum_{j=1}^{q} \ln \left( \frac{z}{y_j} \right)</math> |
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The terms used to calculate <math>W</math> are same as in poverty gap index (see the calculation section in this article). |
The terms used to calculate <math>W</math> are same as in poverty gap index (see the calculation section in this article). |
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==Poverty gap index by country== |
==Poverty gap index by country== |
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{{Update|section|date=November 2020}} |
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The following table summarizes the poverty gap index for developed and developing countries across the world. |
The following table summarizes the poverty gap index for developed and developing countries across the world. |
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{| class="wikitable sortable" style="text-align:right" |
{| class="wikitable sortable" style="text-align:right" |
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|+Poverty gap ratio for various countries<ref>{{cite web|title=Poverty database|publisher= |
|+Poverty gap ratio for various countries<ref>{{cite web|title=Poverty database|publisher=World Bank|year=2012|url=http://iresearch.worldbank.org/PovcalNet/index.htm}}</ref><ref>{{cite book|chapter=Poverty rates and gaps|title=OECD Factbook 2010: Economic, Environmental and Social Statistics|place=Paris |publisher=OECD Publishing|year=2010|pages=236–237|doi=10.1787/factbook-2010-89-en}}</ref> |
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|- |
|- |
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! Country !! Poverty<BR>line<BR>($/month) |
! Country !! Poverty<BR>line<BR>($/month){{efn|This is on purchasing power parity basis, international dollar adjusted for inflation to 2005; To convert to $ per day income, divide by 30.4; for annual income multiply by 12.}} !! Head count<BR>ratio<BR>(%) !!style="background-color:orange;"| Poverty<BR>gap<BR>index<BR>(%) !! Year |
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| align="left" | {{flag|Albania}} || 38 || 0.62 || 0.19 || 2008 |
| align="left" | {{flag|Albania}} || 38 || 0.62 || 0.19 || 2008 |
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Line 65: | Line 68: | ||
| align="left" | {{flag|Angola}} || 38 || 54.31 || 29.94 || 2000 |
| align="left" | {{flag|Angola}} || 38 || 54.31 || 29.94 || 2000 |
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|- |
|- |
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| align="left" | {{flag|Argentina}} |
| align="left" | {{flag|Argentina}}{{efn|This data is for urban population only.}} || 38 || 0.92 || 0.65 || 2010 |
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|- |
|- |
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| align="left" | {{flag|Armenia}} || 38 || 1.28 || 0.25 || 2008 |
| align="left" | {{flag|Armenia}} || 38 || 1.28 || 0.25 || 2008 |
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Line 113: | Line 116: | ||
| align="left" | {{flag|Chile}} || 38 || 1.35 || 0.69 || 2009 |
| align="left" | {{flag|Chile}} || 38 || 1.35 || 0.69 || 2009 |
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|- |
|- |
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| align="left" | {{flag|China}} |
| align="left" | {{flag|China}}{{efn|This data is for rural population of China.}} || 38 || 16.25 || 4.03 || 2005 |
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|- |
|- |
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| align="left" | {{flag|Colombia}} || 38 || 8.16 || 3.78 || 2010 |
| align="left" | {{flag|Colombia}} || 38 || 8.16 || 3.78 || 2010 |
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Line 191: | Line 194: | ||
| align="left" | {{flag|Jamaica}} || 38 || 0.21 || 0.02 || 2004 |
| align="left" | {{flag|Jamaica}} || 38 || 0.21 || 0.02 || 2004 |
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|- |
|- |
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| align="left" | {{flag|Japan}} || 950 |
| align="left" | {{flag|Japan}} || 950 || 14.9 || 5.17 || 2010 |
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|- |
|- |
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| align="left" | {{flag|Jordan}} || 38 || 0.12 || 0.03 || 2010 |
| align="left" | {{flag|Jordan}} || 38 || 0.12 || 0.03 || 2010 |
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Line 243: | Line 246: | ||
| align="left" | {{flag|Netherlands}} || 1168 || 7.7 || 1.61 || 2010 |
| align="left" | {{flag|Netherlands}} || 1168 || 7.7 || 1.61 || 2010 |
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|- |
|- |
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| align="left" | {{flag|New Zealand}} || 803 |
| align="left" | {{flag|New Zealand}} || 803 || 10.8 || 3.63 || 2010 |
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|- |
|- |
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| align="left" | {{flag|Nicaragua}} || 38 || 11.9 || 2.4 || 2005 |
| align="left" | {{flag|Nicaragua}} || 38 || 11.9 || 2.4 || 2005 |
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Line 271: | Line 274: | ||
| align="left" | {{flag|Romania}} || 38 || 0.41 || 0.19 || 2009 |
| align="left" | {{flag|Romania}} || 38 || 0.41 || 0.19 || 2009 |
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|- |
|- |
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| align="left" | {{flag|Russia}}<ref>{{cite web|title=Poverty and |
| align="left" | {{flag|Russia}}<ref>{{cite web|title=Poverty and Economic Growth in Russia's Regions|last1=Mosley|first1=Paul |last2=Mussurov |first2=Altay |date=April 2009|publisher=University of Sheffield|series=Sheffield Economic Research Paper Series |ISSN=1749-8368 |url=http://eprints.whiterose.ac.uk/10002/1/SERPS2009006.pdf}}</ref> || 61 || 14.3 || 5.09 || 2006 |
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|- |
|- |
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| align="left" | {{flag|Rwanda}} || 38 || 63.2 || 26.6 || 2011 |
| align="left" | {{flag|Rwanda}} || 38 || 63.2 || 26.6 || 2011 |
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Line 283: | Line 286: | ||
| align="left" | {{flag|Sierra Leone}} || 38 || 53.4 || 20.3 || 2003 |
| align="left" | {{flag|Sierra Leone}} || 38 || 53.4 || 20.3 || 2003 |
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|- |
|- |
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| align="left" | {{flag|Slovakia}} || 368 |
| align="left" | {{flag|Slovakia}} || 368 || 8.1 || 2.07 || 2010 |
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|- |
|- |
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| align="left" | {{flag|South Africa}} || 38 || 13.8 || 2.3 || 2009 |
| align="left" | {{flag|South Africa}} || 38 || 13.8 || 2.3 || 2009 |
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Line 329: | Line 332: | ||
| align="left" | {{flag|United Kingdom}} || 1027 || 8.3 || 2.06 || 2010 |
| align="left" | {{flag|United Kingdom}} || 1027 || 8.3 || 2.06 || 2010 |
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|- |
|- |
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| align="left" | {{flag|United States}} |
| align="left" | {{flag|United States}}{{efn|The U.S. defines its poverty line on a dynamic basis and household size. As an example, for a family of 4 in a household, the poverty line was about $1,838 per month.}} || 1232 || 17.1 || 6.55 || 2010 |
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|- |
|- |
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| align="left" | {{flag|Uruguay}} || 38 || 0.2 || 0.07 || 2008 |
| align="left" | {{flag|Uruguay}} || 38 || 0.2 || 0.07 || 2008 |
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Line 343: | Line 346: | ||
==See also== |
==See also== |
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*[[Foster–Greer–Thorbecke indices]] |
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*[[Foster Greer Thorbecke|FGT Index of Poverty]] |
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*[[Gini |
*[[Gini coefficient]] |
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*[[Multidimensional Poverty Index]] |
*[[Multidimensional Poverty Index]] |
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*[[Human Poverty Index]] |
*[[Human Poverty Index]] |
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*[[Human Development Index]] |
*[[Human Development Index]] |
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*[[Gender |
*[[Gender Development Index]] |
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*[[Gender Empowerment Measure]] |
*[[Gender Empowerment Measure]] |
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*[[Education Index]] |
*[[Education Index]] |
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==Notes== |
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{{notelist}} |
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==References== |
==References== |
Revision as of 21:20, 22 November 2020
The poverty gap index is a measure of the intensity of poverty. It is defined as the average poverty gap in the population as a proportion of the poverty line.[1]
The poverty gap index is an improvement over the poverty measure head count ratio which simply counts all the people below a poverty line, in a given population, and considers them equally poor.[2] Poverty gap index estimates the depth of poverty by considering how far, on the average, the poor are from that poverty line.[3]
Definition
The poverty gap index sometimes referred to as poverty gap ratio or pg index is defined as average of the ratio of the poverty gap to the poverty line.[4] It is expressed as a percentage of the poverty line for a country or region.[5]
Significance
The most common method measuring and reporting poverty is the head count ratio, given as the percentage of population that is below the poverty line. For example, The New York Times in July 2012 reported the poverty head count ratio as 11.1% of American population in 1973, 15.2% in 1983 and 11.3% in 2000.[6] One of the undesirable features of the head count ratio is that it ignores the depth of poverty; if the poor become poorer, the head count index does not change.[7]
Poverty gap index provides a clearer perspective on the depth of poverty. It enables poverty comparisons. It also helps provide an overall assessment of a region's progress in poverty reduction and the evaluation of specific public policies or private initiatives.[8]
Calculation
The poverty gap index (PGI) is calculated as,[5]
or
where is the total population, is the total population of poor who are living at or below the poverty line, is the poverty line, and is the income of the poor individual . In this calculation, individuals whose income is above the poverty line have a gap of zero.
By definition, the poverty gap index is a percentage between 0 and 100%. Sometimes it is reported as a fraction, between 0 and 1. A theoretical value of zero implies that no one in the population is below the poverty line. A theoretical value of 100% implies that everyone in the population has zero income. In some literature, poverty gap index is reported as while the head count ratio is reported as .[9]
Features
The poverty gap index can be interpreted as the average percentage shortfall in income for the population, from the poverty line.[5]
If you multiply a country's poverty gap index by both the poverty line and the total number of individuals in the country you get the total amount of money needed to bring the poor in the population out of extreme poverty and up to the poverty line, assuming perfect targeting of transfers. For example, suppose a country has 10 million individuals, a poverty line of $500 per year and a poverty gap index of 5%. Then an average increase of $25 per individual per year would eliminate extreme poverty. Note that $25 is 5% of the poverty line. The total increase needed to eliminate poverty is US$250 million—$25 multiplied by 10 million individuals.
The poverty gap index is an important measure beyond the commonly used head count ratio. Two regions may have the similar head count ratio, but distinctly different poverty gap indices. A higher poverty gap index means that poverty is more severe.
The poverty gap index is additive. In other words, the index can be used as an aggregate poverty measure, as well as decomposed for various sub-groups of the population, such as by region, employment sector, education level, gender, age or ethnic group.
Limitations
Poverty gap index ignores the effect of inequality between the poor. It does not capture differences in the severity of poverty amongst the poor. As a theoretical example, consider two small neighborhoods where just two households each are below the official poverty line of US$500 income per year. In one case, household 1 has an income of US$100 per year and household 2 has an income of US$300 per year. In second case, the two households both have annual income of US$200 per year. The poverty gap index for both cases is same (60%), even though the first case has one household, with US$100 per year income, experiencing a more severe state of poverty. Scholars, therefore, consider poverty gap index as a moderate but incomplete improvement over poverty head count ratio.[10]
Scholars such as Amartya Sen suggest poverty gap index offers quantitative improvement over simply counting the poor below the poverty line, but remains limited at the qualitative level. Focusing on precisely measuring income gap diverts the attention from qualitative aspects such as capabilities, skills and personal resources that may sustainably eradicate poverty. A better measure would focus on capabilities and consequent consumption side of impoverished households.[11] These suggestions were initially controversial, and have over time inspired scholars to propose numerous refinements.[2][12][13][14]
Related measures
The Foster–Greer–Thorbecke metric is the general form of the PGI. The formula raises the summands to the power alpha, so that FGT0 is the head count index, FGT1 the PGI and FGT2 the squared PGI.
Squared poverty gap index, also known poverty severity index or , is related to poverty gap index. It is calculated by averaging the square of the poverty gap ratio. By squaring each poverty gap data, the measure puts more weight the further a poor person's observed income falls below the poverty line. The squared poverty gap index is one form of a weighted sum of poverty gaps, with the weight proportionate to the poverty gap.[9]
Sen index, sometimes referred to , is related to poverty gap index (PGI).[2][15] It is calculated as follows:
where, is the head count ratio and is the income Gini coefficient of only the people below the poverty line.
Watts index, sometimes referred to , is related to poverty gap index (PGI).[15] It is calculated as follows:
The terms used to calculate are same as in poverty gap index (see the calculation section in this article).
Poverty gap index by country
This section needs to be updated.(November 2020) |
The following table summarizes the poverty gap index for developed and developing countries across the world.
Country | Poverty line ($/month)[a] |
Head count ratio (%) |
Poverty gap index (%) |
Year |
---|---|---|---|---|
Albania | 38 | 0.62 | 0.19 | 2008 |
Angola | 38 | 54.31 | 29.94 | 2000 |
Argentina[b] | 38 | 0.92 | 0.65 | 2010 |
Armenia | 38 | 1.28 | 0.25 | 2008 |
Australia | 959 | 12.4 | 2.93 | 2010 |
Austria | 1024 | 6.6 | 1.81 | 2010 |
Azerbaijan | 38 | 0.43 | 0.14 | 2008 |
Bangladesh | 38 | 43.25 | 11.17 | 2010 |
Belarus | 38 | 0.1 | 0.1 | 2008 |
Belgium | 930 | 8.8 | 1.80 | 2010 |
Belize | 38 | 12.21 | 5.52 | 1999 |
Benin | 38 | 47.33 | 15.73 | 2003 |
Bhutan | 38 | 10.22 | 1.81 | 2007 |
Bolivia | 38 | 15.61 | 8.64 | 2008 |
Bosnia and Herzegovina | 38 | 0.04 | 0.02 | 2007 |
Botswana | 38 | 31.23 | 11.04 | 1993 |
Brazil | 38 | 6.14 | 3.62 | 2009 |
Burkina Faso | 38 | 44.6 | 14.66 | 2009 |
Burundi | 38 | 81.32 | 36.39 | 2006 |
Cambodia | 38 | 22.75 | 4.87 | 2008 |
Cameroon | 38 | 9.56 | 1.2 | 2007 |
Canada | 1056 | 12.1 | 2.96 | 2010 |
Cape Verde | 38 | 21.02 | 6.05 | 2001 |
Central African Republic | 38 | 62.83 | 31.26 | 2008 |
Chad | 38 | 61.94 | 25.64 | 2002 |
Chile | 38 | 1.35 | 0.69 | 2009 |
China[c] | 38 | 16.25 | 4.03 | 2005 |
Colombia | 38 | 8.16 | 3.78 | 2010 |
Comoros | 38 | 46.11 | 20.82 | 2004 |
Costa Rica | 38 | 3.12 | 1.79 | 2009 |
Cote d'Ivoire | 38 | 23.75 | 7.5 | 2008 |
Czech Republic | 515 | 5.8 | 1.37 | 2010 |
Denmark | 955 | 5.3 | 1.29 | 2010 |
Djibouti | 38 | 18.84 | 5.29 | 2002 |
Dominican Republic | 38 | 2.24 | 0.52 | 2010 |
Congo, Dem. Rep. | 38 | 87.72 | 52.8 | 2005 |
Congo, Rep. | 38 | 54.1 | 22.8 | 2005 |
Ecuador | 38 | 4.6 | 2.1 | 2010 |
Egypt | 38 | 1.69 | 0.4 | 2008 |
Estonia | 38 | 8.9 | 4.4 | 2009 |
Ethiopia | 38 | 39 | 9.6 | 2005 |
Fiji | 38 | 5.9 | 1.1 | 2009 |
Finland | 875 | 7.3 | 1.48 | 2010 |
France | 861 | 7.1 | 1.44 | 2010 |
Gabon | 38 | 4.8 | .9 | 2005 |
Gambia | 38 | 33.6 | 11.7 | 2003 |
Germany | 918 | 11 | 3.67 | 2010 |
Georgia | 38 | 15.3 | 4.6 | 2008 |
Ghana | 38 | 28.6 | 9.9 | 2006 |
Greece | 720 | 12.6 | 3.36 | 2010 |
Guatemala | 38 | 13.5 | 4.7 | 2006 |
Guinea | 38 | 43.3 | 15. | 2007 |
Guinea-Bissau | 38 | 48.9 | 16.6 | 2002 |
Guyana | 38 | 8.7 | 2.8 | 1998 |
Haiti | 38 | 61.7 | 32.3 | 2001 |
Honduras | 38 | 17.9 | 9.4 | 2009 |
Hungary | 407 | 7.1 | 1.66 | 2010 |
Iceland | 942 | 7.1 | 2.55 | 2010 |
Ireland | 934 | 14.8 | 3.08 | 2010 |
India | 38 | 32.7 | 7.5 | 2010 |
Indonesia | 38 | 18.1 | 3.3 | 2010 |
Iran | 38 | 1.45 | 0.34 | 2005 |
Iraq | 38 | 2.8 | 0.42 | 2007 |
Italy | 700 | 11.4 | 3.08 | 2010 |
Jamaica | 38 | 0.21 | 0.02 | 2004 |
Japan | 950 | 14.9 | 5.17 | 2010 |
Jordan | 38 | 0.12 | 0.03 | 2010 |
Kazakhstan | 38 | 0.11 | 0.03 | 2009 |
Kenya | 38 | 43.4 | 16.9 | 2005 |
Kyrgyzstan | 38 | 6.4 | 1.5 | 2008 |
Laos | 38 | 44 | 12.1 | 2002 |
Latvia | 38 | 0.14 | 0.1 | 2008 |
Lesotho | 38 | 43.4 | 20.8 | 2003 |
Liberia | 38 | 83.8 | 40.9 | 2007 |
Lithuania | 38 | 0.16 | 0.1 | 2008 |
Luxembourg | 1511 | 8.1 | 1.62 | 2010 |
Macedonia | 38 | 0.29 | 0.04 | 2008 |
Madagascar | 38 | 81.3 | 43.3 | 2010 |
Malawi | 38 | 73.9 | 32.3 | 2004 |
Maldives | 38 | 1.48 | 0.14 | 2008 |
Mali | 38 | 50.4 | 16.4 | 2010 |
Mauritania | 38 | 23.4 | 6.8 | 2008 |
Mexico | 192 | 18.4 | 6.97 | 2010 |
Micronesia | 38 | 31.2 | 16.3 | 2000 |
Moldova | 38 | 0.39 | 0.08 | 2010 |
Montenegro | 38 | 0.12 | 0.08 | 2008 |
Morocco | 38 | 2.5 | .54 | 2007 |
Mozambique | 38 | 59.6 | 25.1 | 2008 |
Namibia | 38 | 31.9 | 9.5 | 2004 |
Nepal | 38 | 24.8 | 5.6 | 2010 |
Netherlands | 1168 | 7.7 | 1.61 | 2010 |
New Zealand | 803 | 10.8 | 3.63 | 2010 |
Nicaragua | 38 | 11.9 | 2.4 | 2005 |
Niger | 38 | 43.6 | 12.4 | 2008 |
Nigeria | 38 | 68 | 33.7 | 2010 |
Norway | 1109 | 6.8 | 2.00 | 2010 |
Pakistan | 38 | 21 | 3.5 | 2008 |
Panama | 38 | 6.6 | 2.1 | 2010 |
Papua | 38 | 35.8 | 12.3 | 1996 |
Paraguay | 38 | 7.2 | 3. | 2010 |
Peru | 38 | 4.9 | 1.3 | 2010 |
Philippines | 38 | 18.4 | 3.7 | 2009 |
Poland | 338 | 14.6 | 5.20 | 2010 |
Portugal | 512 | 12.9 | 3.74 | 2010 |
Romania | 38 | 0.41 | 0.19 | 2009 |
Russia[18] | 61 | 14.3 | 5.09 | 2006 |
Rwanda | 38 | 63.2 | 26.6 | 2011 |
São Tomé and Príncipe | 38 | 28.2 | 7.9 | 2001 |
Senegal | 38 | 33.5 | 10.8 | 2005 |
Serbia | 38 | 0.26 | 0.17 | 2009 |
Sierra Leone | 38 | 53.4 | 20.3 | 2003 |
Slovakia | 368 | 8.1 | 2.07 | 2010 |
South Africa | 38 | 13.8 | 2.3 | 2009 |
South Korea | 809 | 14.6 | 5.26 | 2010 |
Spain | 749 | 14.1 | 4.51 | 2010 |
Sri Lanka | 38 | 7 | 1 | 2007 |
Sudan | 38 | 19.8 | 5.5 | 2009 |
Suriname | 38 | 15.5 | 5.9 | 1999 |
Swaziland | 38 | 40.6 | 16. | 2010 |
Sweden | 863 | 5.3 | 1.31 | 2010 |
Syria | 38 | 1.71 | 0.2 | 2004 |
Switzerland | 1148 | 8.7 | 3.37 | 2010 |
Tajikistan | 38 | 6.6 | 1.2 | 2009 |
Tanzania | 38 | 67.9 | 28.1 | 2007 |
Thailand | 38 | 0.37 | 0.05 | 2009 |
East Timor | 38 | 37.4 | 8.9 | 2007 |
Togo | 38 | 38.7 | 11.4 | 2006 |
Trinidad and Tobago | 38 | 4.2 | 1.1 | 2008 |
Tunisia | 38 | 1.35 | 0.28 | 2005 |
Turkey | 211 | 17.5 | 5.76 | 2010 |
Turkmenistan | 38 | 24.8 | 7 | 1998 |
Uganda | 38 | 38.01 | 12.2 | 2009 |
Ukraine | 38 | 0.06 | 0.04 | 2009 |
United Kingdom | 1027 | 8.3 | 2.06 | 2010 |
United States[d] | 1232 | 17.1 | 6.55 | 2010 |
Uruguay | 38 | 0.2 | 0.07 | 2008 |
Venezuela | 38 | 6.6 | 3.7 | 2006 |
Vietnam | 38 | 16.9 | 3.8 | 2008 |
Yemen | 38 | 17.5 | 4.2 | 2005 |
Zambia | 38 | 68.5 | 37 | 2006 |
See also
- Foster–Greer–Thorbecke indices
- Gini coefficient
- Multidimensional Poverty Index
- Human Poverty Index
- Human Development Index
- Gender Development Index
- Gender Empowerment Measure
- Education Index
Notes
- ^ This is on purchasing power parity basis, international dollar adjusted for inflation to 2005; To convert to $ per day income, divide by 30.4; for annual income multiply by 12.
- ^ This data is for urban population only.
- ^ This data is for rural population of China.
- ^ The U.S. defines its poverty line on a dynamic basis and household size. As an example, for a family of 4 in a household, the poverty line was about $1,838 per month.
References
- ^ "Millennium Development Goal Indicators". United Nations. 2008. Archived from the original on May 22, 2008.
- ^ a b c Sen, Amartya (March 1976). "Poverty: An Ordinal Approach to Measurement". Econometrica. 44 (2): 219–231. doi:10.2307/1912718. JSTOR 1912718.
- ^ Grusky, David B.; Kanbur, Ravi, eds. (2006). Poverty and Inequality. Studies in Social Inequality. Stanford, California: Stanford University Press. p. [page needed]. ISBN 978-0-8047-4843-8.
- ^ Indicators for Monitoring the Millennium Development Goals (PDF). New York: United Nations. 2003. p. 9.
- ^ a b c "Poverty Measures" (PDF). World Bank. 2009. Archived from the original (PDF) on July 10, 2012.
- ^ Edelman, Peter (July 28, 2012). "Poverty in America: Why Can't We End It?". The New York Times. Retrieved November 20, 2020.
- ^ Ravallion, Martin (June 1996). Issues in Measuring and Modeling Poverty (PDF). Policy Research Working Paper. Vol. 1615. Washington, D.C.: World Bank. Retrieved November 20, 2020.
- ^ "Indicators of Sustainable Development". United Nations Department for Policy Coordination and Sustainable Development. 2004. Archived from the original on April 21, 2012. Retrieved August 10, 2012.
- ^ a b "Poverty Measures, Chapter 4" (PDF). Introduction to Poverty Analysis. Washington, D.C.: World Bank Institute. August 2005. Archived from the original (PDF) on July 10, 2012.
- ^ Foster, James E. (May 1998). "Absolute versus Relative Poverty". The American Economic Review. 88 (2): 335–341. JSTOR 116944.
- ^ Morrell, Dan (January–February 2011). "Who Is Poor?". Harvard Magazine. Retrieved November 22, 2020.
- ^ Sen, Amartya (December 1985). "A Sociological Approach to the Measurement of Poverty: A Reply to Professor Peter Townsend". Oxford Economic Papers. 37 (4): 669–676. doi:10.1093/oxfordjournals.oep.a041716. JSTOR 2663049.
- ^ Takayama, Noriyuki (May 1979). "Poverty, Income Inequality, and Their Measures: Professor Sen's Axiomatic Approach Reconsidered". Econometrica. 47 (3): 747–759. doi:10.2307/1910420. JSTOR 1910420.
- ^ Jenkins, Stephen P.; Lambert, Peter J. (July 1997). "Three 'I's of Poverty Curves, with an Analysis of UK Poverty Trends". Oxford Economic Papers. 49 (3): 317–327. doi:10.1093/oxfordjournals.oep.a028611. JSTOR 2663596.
- ^ a b Vecchi, Giovanni (September 2007). "Poverty Measurement" (PDF). World Bank. Archived from the original (PDF) on March 3, 2016.
- ^ "Poverty database". World Bank. 2012.
- ^ "Poverty rates and gaps". OECD Factbook 2010: Economic, Environmental and Social Statistics. Paris: OECD Publishing. 2010. pp. 236–237. doi:10.1787/factbook-2010-89-en.
- ^ Mosley, Paul; Mussurov, Altay (April 2009). "Poverty and Economic Growth in Russia's Regions" (PDF). Sheffield Economic Research Paper Series. University of Sheffield. ISSN 1749-8368.
External links
- Basics of Poverty Reduction & Inequality Analysis: A World Bank resource on latest data and reports on poverty measurement
- Handbook on Poverty and Inequality: A handbook with examples, features and limitations of poverty measures
- Povcalnet: A continuously updated database with poverty gap index and other poverty analysis tools