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POVERTY INCIDENCE FOR WOMEN

Women living in poverty tend to unprotected rights and face obstacles that may be extraordinarily difficult to overcome. This results in deprivation not only in their own lives and but society and the economy also suffer, as women's productivity is well known as one of the greatest generators of economic dynamism.

While both genders suffer in poverty, gender discrimination usually means that women have far fewer resources to cope. Women are likely to be the last to eat, least likely to access healthcare, and routinely trapped in time-consuming, unpaid domestic tasks. They also tend to have more limited options to work or build businesses and suitable education may lie out of reach. Some end up forced into sexual exploitation as part of a basic struggle to survive.

A modified version of the Global Multidimensional Poverty Index (MPI) was used to determine the extent of acute severe poverty among women in the states. The MPI developed in 2010 by the Oxford Poverty & Human Development Initiative (OPHI) and the United Nations Development Programme and uses different factors to determine poverty beyond income-based lists.

It does this capturing the severe deprivations that each person faces at the same time with respect to education, health and living standards. The MPI assesses poverty at the individual level. If someone is deprived in a third or more of ten (weighted) indicators, the global index identifies them as ‘MPI poor’, and the extent – or intensity – of their poverty is measured by the number of deprivations they are experiencing.

The MPI can be used to create a comprehensive picture of women living in poverty, and permits comparisons both across states.
2016 MIND THE GAP REPORT RANKINGS FOR POVERTY INCIDENCE FOR WOMEN



RANK
STATE
FEMALE POPULATION*
PROPORTION OF WOMEN IN POVERTY*
#1


3,361,990
20.5%
#2


1,882,608
22.3%
#3


2,560,351
22.8%
#4


5,905,280
23.4%
#5


2,560,312
23.4%
#6


2,714,626
24.4%
#7


2,608,370
26.1%
#8


1,864,674
26.1%
#9


2,753,513
26.5%
#10


1,671,845
28.8%
#11


1,582,919
29.4%
#12


2,596,948
31.9%
#13


4,021,828
32.1%
#14


2,306,300
33.4%
#15


1,563,951
34.1%
#16


2,195,595
37.1%
#17


1,430,758
38.8%
#18


1,153,744
39.7%
#19


1,739,725
41.1%
#20


2,271,254
42.6%
#21


3,654,092
43.6%
#22


1,871,180
43.9%
#23


2,492,536
44.6%
#24


1,891,333
46.7%
#25


5,725,807
48.4%
#26


2,756,631
52.3%
#27


1,168,191
52.6%
#28


2,614,598
55%
#29


1,322,158
58.8%
#30


2,586,400
60.4%
#31


3,695,066
61.8%
#32


1,390,123
63.9%
#33


1,971,093
65.1%
#34


1,357,355
65.5%
#35


2,138,995
65.5%
#36


1,910,050
65.6%
#37


2,990,947
66.2%


* - 2015 Estimates



Source:
National Bureau of Statistics
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