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MAPPING GENDER INEQUALITY IN INDIA

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Mapping gender inequality by female disadvantage(fd) indexfd index = %(pop

female- pop

male)/ pop

female

Working PopulationPopulation of children (0-6 years)Total Population

Copyright: ©2013 Esri, DeLorme, NAVTEQ

LegendFemale Disadvantage

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LegendFemale Disadvantage (0 - 6 years)

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LegendFemale Disadvantage (w o rk ing)

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Literate Population


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LegendFemale disadvantage (0 - 6 years)

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LegendFemale Disadvantage (W o rk ing)

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LegendFemale Disadvantage

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LegendC H ILD_ IN D

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ll aps are classified in quantile classification system. Darker colors indicate more disad antaged districts. lusters of higher alue significance are identified in ed and clus-

ters of lo alue significance are sho n in blue.


Female Disadvantage (Literacy)

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MUSA Capstone project by: Shrobona KarkunData Sources: A) Primary Census Abstracts, 2011 Census of India,

B) Spatial Data:: DIVA-GIS LARP 745 Advanced Applications in GIS, Spring 2014

dynasties from iddle ast sia and urope, hich has shaped its tradi-tions and socio cultural backdrop. nfortunately, changes in religious and regional dogmas also led to a culture here omen are treated di erently from men and futher leading to di erent treatment gi en to

omen in arious parts of the country. hile omen are natural heirs and leaders of matriarchial society in erala in outhern ndia , a neborn girl child in aryana and a asthan orthern ndia has to strug-gle for her o n life and from being ictim of infanticide.Due to the regional cultural di erences, it can be said the gender in-equalities ould ha e geographical ariations as ell. urther, arying le els of access to education, employment opportunities, infant mortal-ity has sho n arying le els of gender bias in urban and rural context as ell. esearch has also sho n correlation of gender bias ith hil-dren and omens health, rimes against omen and uality of ife.

ndia is a country of a va-riety of cultural traditions.

Throughout its rich his-tory hich dates back to

, ndia has been invaded time and again by

DISTRICTS OF INDIA

STUDY AREA:The expected patterns of inequalities are hypothised to be influenced by local cultures and is thus, ex-pected to transcend the political lines of states. Thus, to capture inequalities in the finest geographical unit possible, the chosen unit for study of gender inequal-ity are districts. Districts make for a good sample size (n=535) for this study- for it is more detailed than states and yet not as numerous as sub-districts.

D Thile the most common unit of measuring inequalities is the sex ratio num-

ber of males per females , it is di cult to udge ho much disad antage do omen face by gender bias. The ender nequalities ndex , suggested by nited ations De elopment rogram considers income and health factors as ell. o e er, for sake of simplicity, inequality here has been measured by the emale Disad antage D ndex. This index considers the percentage of population gap bet een the sexes ith respect to the female population and is mapped for arious demographic sections. The clusters and outliers along ith their cores ere identified by ocal ndices of patial utocorrelation .

also helps identify the cores of each cluster.

PROJECT GOALS:rimarily to map gender inequality of arious demographic indicators at dis-

trict le el and then specifically at urban and rural context. econdary, to ex-plore the possibility of spatial autocorrelation in inequality to tie in to regional

and cultural di erences.

To er alues of the emale Disad antage ndex sho s greater gaps bet een male and female population. lusters of high and lo alues are apparent from the mapping exercise. n totality, the pattern of gaps bet een the male and female population is

similar in total, urban and rural scenarios. hile similarities in patterns are isually discernable bet een the patterns of total , the urban and the rural sections of the literate population the pattern similarities of orking population cannot be distinguished bet een each section. The population gaps amongst children are similar bet een total and rural populations. n general, ma ority of high alues represented in red are more isible in the southern region and the ma ority of lo alues represented in blue are apparent in the northern regions. ut, demogrpahic data cannot be conclusi e by itself. urther analysis ith health , income data and correlation studies can help bring a more clearer picturer and aid in de elopment strategies for omen.