Poverty gap index

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]

Map with the poverty gap index in South Africa, Mozambique, Malawi and Madagascar.

The poverty gap index is an improvement over the poverty measure headcount 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 headcount 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 headcount ratio as 11.1% of American population in 1973, 15.2% in 1983 and 11.3% in year 2000.[6] One of the undesirable features of the headcount ratio is that it ignores the depth of poverty; if the poor become poorer, the headcount 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 alleviation 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 headcount 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 headcount ratio. Two regions may have the similar headcount ratio, but distinctly different poverty gap indexes. 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 headcount ratio.[10]

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.[11] These suggestions were initially controversial, and have over time inspired scholars to propose numerous refinements.[2][12][13][14]

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 headcount 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 headcount 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

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

Poverty gap ratio for various countries[16][17]
CountryPoverty
line
($/month)[18]
Headcount
ratio
(%)
Poverty
gap
index
(%)
Year
 Albania380.620.192008
 Angola3854.3129.942000
 Argentina[19]380.920.652010
 Armenia381.280.252008
 Australia95912.42.932010
 Austria10246.61.812010
 Azerbaijan380.430.142008
 Bangladesh3843.2511.172010
 Belarus380.10.12008
 Belgium9308.81.802010
 Belize3812.215.521999
 Benin3847.3315.732003
 Bhutan3810.221.812007
 Bolivia3815.618.642008
 Bosnia and Herzegovina380.040.022007
 Botswana3831.2311.041993
 Brazil386.143.622009
 Burkina Faso3844.614.662009
 Burundi3881.3236.392006
 Cambodia3822.754.872008
 Cameroon389.561.22007
 Canada105612.12.962010
 Cape Verde3821.026.052001
 Central African Republic3862.8331.262008
 Chad3861.9425.642002
 Chile381.350.692009
 China[20]3816.254.032005
 Colombia388.163.782010
 Comoros3846.1120.822004
 Costa Rica383.121.792009
 Cote d'Ivoire3823.757.52008
 Czech Republic5155.81.372010
 Denmark9555.31.292010
 Djibouti3818.845.292002
 Dominican Republic382.240.522010
 Congo, Dem. Rep.3887.7252.82005
 Congo, Rep.3854.122.82005
 Ecuador384.62.12010
 Egypt381.690.42008
 Estonia388.94.42009
 Ethiopia38399.62005
 Fiji385.91.12009
 Finland8757.31.482010
 France8617.11.442010
 Gabon384.8.92005
 Gambia3833.611.72003
 Germany918113.672010
 Georgia3815.34.62008
 Ghana3828.69.92006
 Greece72012.63.362010
 Guatemala3813.54.72006
 Guinea3843.315.2007
 Guinea-Bissau3848.916.62002
 Guyana388.72.81998
 Haiti3861.732.32001
 Honduras3817.99.42009
 Hungary4077.11.662010
 Iceland9427.12.552010
 Ireland93414.83.082010
 India3832.77.52010
 Indonesia3818.13.32010
 Iran381.450.342005
 Iraq382.80.422007
 Italy70011.43.082010
 Jamaica380.210.022004
 Japan95014.95.172010
 Jordan380.120.032010
 Kazakhstan380.110.032009
 Kenya3843.416.92005
 Kyrgyzstan386.41.52008
 Laos384412.12002
 Latvia380.140.12008
 Lesotho3843.420.82003
 Liberia3883.840.92007
 Lithuania380.160.12008
 Luxembourg15118.11.622010
 Macedonia380.290.042008
 Madagascar3881.343.32010
 Malawi3873.932.32004
 Maldives381.480.142008
 Mali3850.416.42010
 Mauritania3823.46.82008
 Mexico19218.46.972010
 Micronesia3831.216.32000
 Moldova380.390.082010
 Montenegro380.120.082008
 Morocco382.5.542007
 Mozambique3859.625.12008
 Namibia3831.99.52004
   Nepal3824.85.62010
 Netherlands11687.71.612010
 New Zealand80310.83.632010
 Nicaragua3811.92.42005
 Niger3843.612.42008
 Nigeria386833.72010
 Norway11096.82.002010
 Pakistan38213.52008
 Panama386.62.12010
 Papua3835.812.31996
 Paraguay387.23.2010
 Peru384.91.32010
 Philippines3818.43.72009
 Poland33814.65.202010
 Portugal51212.93.742010
 Romania380.410.192009
 Russia[21]6114.35.092006
 Rwanda3863.226.62011
 São Tomé and Príncipe3828.27.92001
 Senegal3833.510.82005
 Serbia380.260.172009
 Sierra Leone3853.420.32003
 Slovakia3688.12.072010
 South Africa3813.82.32009
 South Korea80914.65.262010
 Spain74914.14.512010
 Sri Lanka38712007
 Sudan3819.85.52009
 Suriname3815.55.91999
 Swaziland3840.616.2010
 Sweden8635.31.312010
 Syria381.710.22004
  Switzerland11488.73.372010
 Tajikistan386.61.22009
 Tanzania3867.928.12007
 Thailand380.370.052009
 East Timor3837.48.92007
 Togo3838.711.42006
 Trinidad and Tobago384.21.12008
 Tunisia381.350.282005
 Turkey21117.55.762010
 Turkmenistan3824.871998
 Uganda3838.0112.22009
 Ukraine380.060.042009
 United Kingdom10278.32.062010
 United States[22]123217.16.552010
 Uruguay380.20.072008
 Venezuela386.63.72006
 Vietnam3816.93.82008
 Yemen3817.54.22005
 Zambia3868.5372006
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See also

References

  1. "Millennium Development Goal Indicators". United Nations. 2008.
  2. Amartya Sen (March 1976). "Poverty: An Ordinal Approach to Measurement". Econometrica. 44 (2): 219–231. doi:10.2307/1912718. JSTOR 191271.
  3. Grusky and Kanbur (2006). Poverty and Inequality (Studies in Social Inequality). Stanford University Press. ISBN 978-0804748438.
  4. "Indicators for Monitoring the Millennium Development Goals" (PDF). United Nations, New York. 2003. p. 9.
  5. "Poverty Measures" (PDF). The World Bank. 2009.
  6. Peter Edelman (July 28, 2012). "Poverty in America: Why Can't We End It?". The New York Times.
  7. Ravallion (June 1996). "Issues in measuring and modeling poverty". The World Bank.
  8. "Indicators of Sustainable Development". United Nations Department for Policy Coordination and Sustainable Development. 2004. Archived from the original on 2012-04-21. Retrieved 2012-08-10.
  9. "Poverty Measures, Chapter 4" (PDF). The World Bank. August 2005.
  10. James E. Foster (May 1998). "Absolute versus Relative Poverty". The American Economic Review. 88 (2): 335–341. JSTOR 116944.
  11. Dan Morell (Jan–Feb 2011). "Who Is Poor?". Harvard Magazine.
  12. Amartya Sen (December 1985). "A Sociological Approach to the Measurement of Poverty: A Reply to Professor Peter Townsend". Oxford Economic Papers, New Series. 37 (4): 669–676. JSTOR 2663049.
  13. Noriyuki Takayama (May 1979). "Poverty, Income Inequality, and Their Measures: Professor Sen's Axiomatic Approach Reconsidered". Econometrica. 47 (3): 747–759. doi:10.2307/1910420. JSTOR 191042.
  14. Jenkins and Lambert (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.
  15. Giovanni Vecchi (September 2007). "Poverty Measurement" (PDF). The World Bank.
  16. "Poverty database". The World Bank. 2012.
  17. "OECD Factbook - 2010 (Poverty rates and gaps)". OECD. 2011.
  18. Note: 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.
  19. This data is for urban population only.
  20. This data is for rural population of China
  21. Mosley and Mussorov (April 2009). "Poverty and economic growth in Russia's regions" (PDF). University of Sheffield.
  22. 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 $1838 per month.
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