The poverty gap index is a measure of the degree of poverty. It is defined as extent to which individuals on average fall below the poverty line, and expresses it as a percentage 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 the poor are from that poverty line on average.[3]

Definition edit

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 edit

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 edit

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 edit

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 edit

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 edit

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 edit

The following table summarizes the poverty gap index for developed and developing countries across the world.

Poverty gap ratio for various countries
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 350 3.91 3.62 2015
  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[16] 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 edit

Notes edit

  1. ^ 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.
  2. ^ This data is for urban population only.
  3. ^ This data is for rural population of China.
  4. ^ 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 edit

  1. ^ "Poverty Gap". stats.areppim.com. Retrieved June 3, 2023.
  2. ^ a b c Sen, Amartya (March 1976). "Poverty: An Ordinal Approach to Measurement". Econometrica. 44 (2): 219–231. doi:10.2307/1912718. JSTOR 1912718.
  3. ^ 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.
  4. ^ Indicators for Monitoring the Millennium Development Goals (PDF). New York: United Nations. 2003. p. 9.
  5. ^ a b c "Poverty Measures" (PDF). World Bank. 2009. Archived from the original (PDF) on July 10, 2012.
  6. ^ Edelman, Peter (July 28, 2012). "Poverty in America: Why Can't We End It?". The New York Times. Retrieved November 20, 2020.
  7. ^ 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.
  8. ^ "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.
  9. ^ 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.
  10. ^ Foster, James E. (May 1998). "Absolute versus Relative Poverty". The American Economic Review. 88 (2): 335–341. CiteSeerX 10.1.1.383.6488. JSTOR 116944.
  11. ^ Morrell, Dan (January–February 2011). "Who Is Poor?". Harvard Magazine. Retrieved November 22, 2020.
  12. ^ 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.
  13. ^ 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.
  14. ^ 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.
  15. ^ a b Vecchi, Giovanni (September 2007). "Poverty Measurement" (PDF). World Bank. Archived from the original (PDF) on March 3, 2016.
  16. ^ 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 edit