The 2011 census data,
released just recently, gives the population for each succeeding age year from
age 0 to 100 plus. Quite a few persons
have not indicated their age and these are about 0.8 percent in the UP population.
This proportion is double in case of UP than in case of All-India. One may easily assume that such Cases may be
of higher ages. The age distribution for various states has been given by place
of residence (rural and urban) and by sex as below.
Sex
Ratios by Age and by Residence
Age Intervals
|
Total
|
Rural
|
Urban
|
0
|
897
|
902
|
877
|
1-6
|
903
|
907
|
887
|
7-15
|
891
|
895
|
878
|
16-60
|
922
|
928
|
901
|
61-70
|
945
|
955
|
902
|
70-80
|
931
|
938
|
902
|
80-90
|
926
|
916
|
962
|
90-99
|
976
|
966
|
1019
|
100 plus
|
970
|
974
|
959
|
Not Stated
|
892
|
900
|
878
|
Senior Citizens
|
928
|
938
|
897
|
Total
|
912
|
918
|
894
|
Usually, discrimination
against girls is measured by the child sex ratio, that is, the difference in
the populations of the two sexes from 0-6. Among infants less than a year old,
boys out number girls by about 1.9 lakh. But by six years, the difference increases
to nearly 15.8 lakh. This is also described as a sex ratio of about 902 girls
per 1,000 boys. The story doesn’t end here. There is an appalling drop in
girls’ population after that.
Census 2011 data has
revealed a huge difference in the number of girls and boys in the under-15 age
group. The difference in the population of boys and girls aged seven to 15 years
is nearly 2.6 million. That’s a sex ratio of 891:1,000 for this age group.
While female foeticide is
responsible for the skewed sex ratio at birth, the difference among living
children is driven by gross neglect of the girl child as well as girls are also
given much more domestic work. Limited resources in families,
as found in a very large number of poor families in UP, sets up the context for
this fatal discrimination. If resources are limited, sons get preferential
treatment over daughters. All measures for special incentives for the girl
child — cash transfers, nutritional supplements, family incentives — have
failed to make a dent in the prevailing mentality of son-preference and
discrimination against girl children.
In case of Uttar Pradesh, only
for urban very senior citizens up to 90 years, females are more than males. Such phenomenon can be due to better medical
facilities in urban areas than in rural areas and males comparatively have
lower life spans than females and thus very senior citizens have sex ratio more
than thousand. This can be seen as an
exception to the basic rule that in Uttar Pradesh that males out number females
in all ages.
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