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Pakistan Multidimensional poverty by region/province

Kabira

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http://www.pk.undp.org/content/paki...ids/Multidimensional-Poverty-in-Pakistan.html
 
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All the SAARC countries lie in different categories. Like Bangladesh, Nepal and India are in high MPI countries, means there is poverty more than 50%. On the other hand Pakistan and Bhutan are in medium category, and Sri Lanka and Maldives are in low MPI countries. The data of MPI of Afghanistan is not given due to unavailable sources for the collection of the data.



Multi-dimensional poverty index is an international measure of acute poverty covering over 104 countries.
As everyone knows that Poverty is measured as a single dimensional index such as income. But income alone misses
a lot because India is growing fast in economic perspective but health, education and living standard not improved
yet. It is the fact that India’s per capita income lies in one of the top countries in the world but if we look on the
other aspects like health, education and standard of living, then we find that India is not so good in the other aspects
rather than the income. India lies on 73rd position from 104 countries with a 53% multidimensional poor. Among
the 29 states, some states of India having high per capita income, yet lies in the high multidimensional poverty index.
It means those states have high per capita income but lacks in the health and standard of living. Some states like
Kerala is in very good position in Multidimensional poverty index while remaining states are in very bad position in
MPI according to OPHI. MPI illuminates a different set of deprivation and reflects the deprivation in very
rudimentary services and core human functioning for people. It shows the number of people who are
multidimensional poor and the number of deprivation with which poor household typically content.

Pattern of MPI: SAARC countries The SAARC is an economic and political organization of eight countries in Southern Asia. In term of population its sphere of influence is the largest of any regional organisation, includes almost 1.5 billion people. These eight countries are: India, Pakistan, Sri Lanka, Bangladesh, Nepal, Bhutan, Maldives and Afghanistan. An attempt is made to create a table of MPI for the SAARC countries by the help of given value of MPI and the % of people who are MPI poor. Multidimensional Poverty Index of SAARC countries SAARC countries MPI value Contribution of deprivation to overall poverty – education in % Contribution of deprivation to overall poverty - health in % Contribution of Overall poverty – living standards in % MPI poor in % Population of multidimensio nal poor in thousand Maldives 0.018 13.6 81.1 5.3 5.2 16 Sri Lanka 0.021 6.3 35.4 58.3 5.3 1027 Bhutan 0.119 40.4 21.2 38.4 27.2 198 International Journal of Enhanced Research in Educational Development (IJERED), ISSN: 2320-8708 Vol. 3, Issue 1, Jan.-Feb., 2015, pp: (14-21), Impact Factor: 1.267, Available online at: www.erpublications.com Page | 17 Pakistan 0.264 30.8 37.9 31.2 49.4 81236 India 0.283 21.8 35.7 42.5 53.7 612203 Bangladesh 0.292 18.7 34.5 46.8 57.8 83207 Nepal 0.350 23.6 43.4 48.5 64.7 18009 Afghanistan - - - - - -


This table shows the MPI of the SAARC countries. In the SAARC countries Bangladesh is the largest country in the MPI poor in percentage with the percentage of 57.8 and Maldives is the smallest country in terms of MPI poor in percentage and in Multidimensional poor’s total population having 5.2% MPI poor and a total population of 16,000 Multidimensional poor. India has the second position in MPI poor in percentage and has the first position in the population of Multidimensional poor in SAARC countries. A cut-off of 33.3%, which is equivalent of one-third of weighted indicators, is used to distinguish between the poor and non-poor. If the household deprivation score is 33.3% or greater, that household (and everyone in it) is multidimensional poor. Households with a deprivation score greater than or equal to 20% but less than 33.3%vare vulnerable to or at risk of becoming Multidimensional poor. All the SAARC countries lie in different categories. Like Bangladesh, Nepal and India are in high MPI countries, means there is poverty more than 50%. On the other hand Pakistan and Bhutan are in medium category, and Sri Lanka and Maldives are in low MPI countries. The data of MPI of Afghanistan is not given due to unavailable sources for the collection of the data.


http://www.erpublications.com/uploaded_files/download/download_07_03_2015_15_24_25.pdf
 
.
All the SAARC countries lie in different categories. Like Bangladesh, Nepal and India are in high MPI countries, means there is poverty more than 50%. On the other hand Pakistan and Bhutan are in medium category, and Sri Lanka and Maldives are in low MPI countries. The data of MPI of Afghanistan is not given due to unavailable sources for the collection of the data.

Well I guess Afghanistan MPI will be 90%.

Interesting thing I found was that Azad Kashmir MPI is lowest in Pakistan. Also FATA have lower MPI then rural Sindh and Balochistan. If one take care of poverty in rural Balochistan and Sindh then MPI in overall Pakistan should be below 20% by 2025.
 
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Well I guess Afghanistan MPI will be 90%.

Interesting thing I found was that Azad Kashmir MPI is lowest in Pakistan. Also FATA have lower MPI then rural Sindh and Balochistan. If one take care of poverty in Balochistan and interior Sindh then MPI in overall Pakistan should be below 20% by 2025.


"India is home to over 340 million destitute people and is the second poorest country in South Asia after war-torn Afghanistan...In South Asia, Afghanistan has the highest level of destitution at 38%. This is followed by India at 28.5%. Bangladesh (17.2%) and Pakistan (20.7%) have much lower levels" Colin Hunter, Center for Research on Globalization Increases in per capita income and human development index are often used as indicators to represent improvements in the lives of ordinary people in developing nations in Asia, Africa and Latin America. Both of these have significant limitations which are addressed by Oxford Poverty and Human Development Initiative (OPHI)'s MPI, multi-dimensional poverty index.

The MPI brings together 10 indicators, with equal weighting for education, health and living standards (see table). If you tick a third or more of the boxes, you are counted as poor.

http://www.riazhaq.com/2014/10/multi-dimensional-poverty-index.html
 
. .
All the SAARC countries lie in different categories. Like Bangladesh, Nepal and India are in high MPI countries, means there is poverty more than 50%. On the other hand Pakistan and Bhutan are in medium category, and Sri Lanka and Maldives are in low MPI countries. The data of MPI of Afghanistan is not given due to unavailable sources for the collection of the data.



Multi-dimensional poverty index is an international measure of acute poverty covering over 104 countries.
As everyone knows that Poverty is measured as a single dimensional index such as income. But income alone misses
a lot because India is growing fast in economic perspective but health, education and living standard not improved
yet. It is the fact that India’s per capita income lies in one of the top countries in the world but if we look on the
other aspects like health, education and standard of living, then we find that India is not so good in the other aspects
rather than the income. India lies on 73rd position from 104 countries with a 53% multidimensional poor. Among
the 29 states, some states of India having high per capita income, yet lies in the high multidimensional poverty index.
It means those states have high per capita income but lacks in the health and standard of living. Some states like
Kerala is in very good position in Multidimensional poverty index while remaining states are in very bad position in
MPI according to OPHI. MPI illuminates a different set of deprivation and reflects the deprivation in very
rudimentary services and core human functioning for people. It shows the number of people who are
multidimensional poor and the number of deprivation with which poor household typically content.

Pattern of MPI: SAARC countries The SAARC is an economic and political organization of eight countries in Southern Asia. In term of population its sphere of influence is the largest of any regional organisation, includes almost 1.5 billion people. These eight countries are: India, Pakistan, Sri Lanka, Bangladesh, Nepal, Bhutan, Maldives and Afghanistan. An attempt is made to create a table of MPI for the SAARC countries by the help of given value of MPI and the % of people who are MPI poor. Multidimensional Poverty Index of SAARC countries SAARC countries MPI value Contribution of deprivation to overall poverty – education in % Contribution of deprivation to overall poverty - health in % Contribution of Overall poverty – living standards in % MPI poor in % Population of multidimensio nal poor in thousand Maldives 0.018 13.6 81.1 5.3 5.2 16 Sri Lanka 0.021 6.3 35.4 58.3 5.3 1027 Bhutan 0.119 40.4 21.2 38.4 27.2 198 International Journal of Enhanced Research in Educational Development (IJERED), ISSN: 2320-8708 Vol. 3, Issue 1, Jan.-Feb., 2015, pp: (14-21), Impact Factor: 1.267, Available online at: www.erpublications.com Page | 17 Pakistan 0.264 30.8 37.9 31.2 49.4 81236 India 0.283 21.8 35.7 42.5 53.7 612203 Bangladesh 0.292 18.7 34.5 46.8 57.8 83207 Nepal 0.350 23.6 43.4 48.5 64.7 18009 Afghanistan - - - - - -


This table shows the MPI of the SAARC countries. In the SAARC countries Bangladesh is the largest country in the MPI poor in percentage with the percentage of 57.8 and Maldives is the smallest country in terms of MPI poor in percentage and in Multidimensional poor’s total population having 5.2% MPI poor and a total population of 16,000 Multidimensional poor. India has the second position in MPI poor in percentage and has the first position in the population of Multidimensional poor in SAARC countries. A cut-off of 33.3%, which is equivalent of one-third of weighted indicators, is used to distinguish between the poor and non-poor. If the household deprivation score is 33.3% or greater, that household (and everyone in it) is multidimensional poor. Households with a deprivation score greater than or equal to 20% but less than 33.3%vare vulnerable to or at risk of becoming Multidimensional poor. All the SAARC countries lie in different categories. Like Bangladesh, Nepal and India are in high MPI countries, means there is poverty more than 50%. On the other hand Pakistan and Bhutan are in medium category, and Sri Lanka and Maldives are in low MPI countries. The data of MPI of Afghanistan is not given due to unavailable sources for the collection of the data.


http://www.erpublications.com/uploaded_files/download/download_07_03_2015_15_24_25.pdf
"India is home to over 340 million destitute people and is the second poorest country in South Asia after war-torn Afghanistan...In South Asia, Afghanistan has the highest level of destitution at 38%. This is followed by India at 28.5%. Bangladesh (17.2%) and Pakistan (20.7%) have much lower levels" Colin Hunter, Center for Research on Globalization Increases in per capita income and human development index are often used as indicators to represent improvements in the lives of ordinary people in developing nations in Asia, Africa and Latin America. Both of these have significant limitations which are addressed by Oxford Poverty and Human Development Initiative (OPHI)'s MPI, multi-dimensional poverty index.

The MPI brings together 10 indicators, with equal weighting for education, health and living standards (see table). If you tick a third or more of the boxes, you are counted as poor.

http://www.riazhaq.com/2014/10/multi-dimensional-poverty-index.html

@waz @WAJsal Can you please take care of trolls who are bringing India when the topic is about Pakistan's poverty. Look at the post of Riaz where in his whole post has not cuple of lines about Pakistan but more than half of his post is abour India.. Then members of pakistan community claim India is obsessed with pakistan.
 
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"India is home to over 340 million destitute people and is the second poorest country in South Asia after war-torn Afghanistan...In South Asia, Afghanistan has the highest level of destitution at 38%. This is followed by India at 28.5%. Bangladesh (17.2%) and Pakistan (20.7%) have much lower levels" Colin Hunter, Center for Research on Globalization Increases in per capita income and human development index are often used as indicators to represent improvements in the lives of ordinary people in developing nations in Asia, Africa and Latin America. Both of these have significant limitations which are addressed by Oxford Poverty and Human Development Initiative (OPHI)'s MPI, multi-dimensional poverty index.

The MPI brings together 10 indicators, with equal weighting for education, health and living standards (see table). If you tick a third or more of the boxes, you are counted as poor.

http://www.riazhaq.com/2014/10/multi-dimensional-poverty-index.html
This is based on 2005/06 data for India and 2011/12 data for Pakistan.. So the next paragraph is important..
We also study Changes over time for Bangladesh, Pakistan, Nepal and India. Nepal still did the best of
all – now leading poverty reduction for 34 countries covering 2.5 billion people. Nepal is closely followed
by Bangladesh. India reduced MPI only one-quarter as fast as Nepal, but India and Nepal reduced MPI
significantly in every indicator and in every subnational region. Pakistan had the slowest of all (less than
one-fifth of Nepal’s rate), but still reduced MPI significantly 2006/7-2012/13. The relative progress across
countries is the same in terms of reduction of destitution.
 
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