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Socio-Economic Impact of HIV and AIDS in Tamil nadu

Socio-Economic Impact of HIV and AIDS in Tamil nadu

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per capita <strong>in</strong>come be<strong>in</strong>g lesser than the<br />

non-<strong>HIV</strong> households.<br />

The <strong>HIV</strong> households had no sav<strong>in</strong>gs with<br />

the average annual household sav<strong>in</strong>gs <strong>of</strong><br />

<strong>HIV</strong> households be<strong>in</strong>g Rs. -1,082, while<br />

the non-<strong>HIV</strong> households had sav<strong>in</strong>gs <strong>of</strong><br />

Rs. 4,329. The non-<strong>HIV</strong> households had<br />

positive sav<strong>in</strong>gs under all the different<br />

k<strong>in</strong>ds <strong>of</strong> sav<strong>in</strong>gs considered, except that<br />

<strong>of</strong> agricultural l<strong>and</strong>. The <strong>HIV</strong> households<br />

had positive sav<strong>in</strong>gs only under cash/<br />

bank deposits <strong>and</strong> shares, etc, with a<br />

higher portion <strong>of</strong> the sav<strong>in</strong>g <strong>in</strong> the form<br />

<strong>of</strong> cash/bank deposits. The percentage<br />

<strong>of</strong> zero savers <strong>and</strong> positive savers was<br />

higher <strong>in</strong> non-<strong>HIV</strong> households, while<br />

negative savers saw a higher percentage<br />

<strong>in</strong> <strong>HIV</strong> households. Analysis <strong>of</strong> the per<br />

capita sav<strong>in</strong>g <strong>of</strong> different <strong>in</strong>come groups,<br />

revealed a negative rate <strong>of</strong> sav<strong>in</strong>gs for<br />

the three lower <strong>in</strong>come groups <strong>in</strong> <strong>HIV</strong><br />

households with -26.80 percent for the<br />

lowest household <strong>in</strong>come group (upto<br />

Rs. 20,000). The rate was 0.49 percent<br />

for the same group under non-<strong>HIV</strong><br />

households, <strong>and</strong> no group under non-<br />

<strong>HIV</strong> households had negative sav<strong>in</strong>gs. The<br />

rate <strong>of</strong> sav<strong>in</strong>gs <strong>of</strong> non-<strong>HIV</strong> households<br />

was found to be higher as compared to<br />

their <strong>HIV</strong> counterparts <strong>in</strong> all the different<br />

<strong>in</strong>come groups.<br />

More than half the <strong>HIV</strong> households<br />

reported to have either borrowed or<br />

liquidated assets to cope with the f<strong>in</strong>ancial<br />

burden/loss <strong>of</strong> <strong>in</strong>come after a family<br />

member tested positive. The percentage<br />

<strong>of</strong> such households was highest for the<br />

lowest <strong>in</strong>come group (58.3%), go<strong>in</strong>g<br />

down with the <strong>in</strong>creas<strong>in</strong>g level <strong>of</strong> <strong>in</strong>come<br />

<strong>of</strong> the households. The average amount<br />

generated was the highest for the highest<br />

<strong>in</strong>come group. For the households that<br />

borrowed <strong>in</strong> the year before the survey,<br />

the percentage <strong>of</strong> average borrow<strong>in</strong>g<br />

per household was higher for <strong>HIV</strong><br />

households.<br />

The borrow<strong>in</strong>g per household was high<br />

for <strong>HIV</strong> households <strong>in</strong> the three lower<br />

<strong>in</strong>come groups. This was higher for non-<br />

<strong>HIV</strong> households with <strong>in</strong>come above Rs.<br />

41,001.<br />

Households surveyed on the basis <strong>of</strong><br />

<strong>in</strong>come poverty, show the percentage<br />

<strong>of</strong> households below poverty l<strong>in</strong>e was<br />

higher <strong>in</strong> <strong>HIV</strong> households (26% <strong>of</strong> <strong>HIV</strong><br />

as aga<strong>in</strong>st 9% <strong>of</strong> non-<strong>HIV</strong> households).<br />

The average household <strong>in</strong>come <strong>of</strong><br />

non-<strong>HIV</strong> households was found to be<br />

more than that <strong>of</strong> <strong>HIV</strong> households. The<br />

consumption poverty <strong>in</strong> the sample<br />

shows the <strong>HIV</strong> households above poverty<br />

l<strong>in</strong>e have bigger per capita expenditure<br />

than similar non-<strong>HIV</strong> households.<br />

However, for households below poverty<br />

l<strong>in</strong>e, consumption expenditure <strong>of</strong> <strong>HIV</strong><br />

households was lesser than that <strong>of</strong> non-<br />

<strong>HIV</strong> households.<br />

<strong>Impact</strong> on education <strong>of</strong><br />

children<br />

The survey <strong>of</strong> the impact on education<br />

<strong>of</strong> children captured 302 children – 148<br />

boys <strong>and</strong> 154 girls – from <strong>HIV</strong> households<br />

<strong>and</strong> 659 children – 351 boys <strong>and</strong> 308 girls<br />

– from non-<strong>HIV</strong> households <strong>in</strong> the age<br />

group <strong>of</strong> 6-14 years, which corresponds<br />

to class I-VIII. In this group, the ever<br />

enrolled percentages were similar <strong>in</strong><br />

children from both types <strong>of</strong> households.<br />

There was also no noticeable difference<br />

between the enrolment rate <strong>of</strong> boys <strong>and</strong><br />

girls. However, the difference between the<br />

ever enrolled <strong>and</strong> currently enrolled rates<br />

was much higher <strong>in</strong> the case <strong>of</strong> children<br />

from <strong>HIV</strong> households; especially <strong>in</strong> case<br />

<strong>of</strong> girls. This <strong>in</strong>dicates a higher dropout<br />

rate for the children <strong>of</strong> <strong>HIV</strong> households,<br />

especially for girls. In the age group <strong>of</strong><br />

15-18 years correspond<strong>in</strong>g to class IX to<br />

XII, the number <strong>of</strong> children from <strong>HIV</strong> <strong>and</strong><br />

non-<strong>HIV</strong> households were 59 <strong>and</strong> 431<br />

respectively. While the ever enrolment<br />

Households<br />

surveyed on the<br />

basis <strong>of</strong> <strong>in</strong>come<br />

poverty, show<br />

the percentage<br />

<strong>of</strong> households<br />

below poverty l<strong>in</strong>e<br />

was higher <strong>in</strong> <strong>HIV</strong><br />

households<br />

Executive Summary<br />

xv

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