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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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which mostly cater to poor/low-<strong>in</strong>come<br />

households. An attempt was made to<br />

select PLWHA from both sexes at different<br />

stages <strong>of</strong> the <strong>in</strong>fection. In households<br />

with more than one <strong>HIV</strong>-positive person,<br />

a maximum <strong>of</strong> two adult PLWHA, mostly<br />

husb<strong>and</strong> <strong>and</strong> wife, were <strong>in</strong>terviewed.<br />

For every <strong>HIV</strong> household that was<br />

surveyed <strong>in</strong> a village/urban block,<br />

approximately three non-<strong>HIV</strong> households<br />

belong<strong>in</strong>g to similar economic strata<br />

were <strong>in</strong>terviewed. The survey <strong>of</strong> non-<strong>HIV</strong><br />

households commenced immediately<br />

after completion <strong>of</strong> the survey <strong>of</strong> PLWHA.<br />

The households were matched first on<br />

the basis <strong>of</strong> broad <strong>in</strong>come category <strong>of</strong><br />

the <strong>HIV</strong> households. At the second stage,<br />

the occupational group <strong>of</strong> the head <strong>of</strong><br />

the household was matched from with<strong>in</strong><br />

each <strong>in</strong>come category.<br />

Two sets <strong>of</strong> structured questionnaires<br />

were used for the household survey<br />

– one for <strong>HIV</strong> <strong>and</strong> another for non-<strong>HIV</strong>households.<br />

These two questionnaires<br />

had some common sections as well as<br />

special sections. In order to supplement<br />

the f<strong>in</strong>d<strong>in</strong>gs <strong>of</strong> the quantitative survey,<br />

qualitative techniques like case studies<br />

<strong>and</strong> focus group discussions were also<br />

used. Two case studies were conducted<br />

<strong>in</strong> <strong>Tamil</strong> Nadu, <strong>and</strong> the Focus Group<br />

Discussion was conducted with the<br />

members <strong>of</strong> the Cambam Network <strong>of</strong><br />

Positive People <strong>in</strong> the Theni district <strong>of</strong><br />

the state.<br />

Pr<strong>of</strong>ile <strong>of</strong> the sample<br />

It was found that nearly 79 percent<br />

<strong>of</strong> both <strong>HIV</strong> <strong>and</strong> non-<strong>HIV</strong> household<br />

heads were <strong>in</strong> the age group <strong>of</strong> 20-50<br />

years. Though the level <strong>of</strong> education<br />

<strong>of</strong> the household heads was poor, it<br />

seemed comparatively better <strong>in</strong> non-<br />

<strong>HIV</strong> households, with the percentage<br />

<strong>of</strong> illiterates <strong>in</strong> <strong>HIV</strong> households be<strong>in</strong>g<br />

twice that <strong>of</strong> the percentage <strong>in</strong> non-<strong>HIV</strong><br />

households. The average annual <strong>in</strong>come<br />

<strong>of</strong> non-<strong>HIV</strong> households (Rs. 48,878) was<br />

higher than that <strong>of</strong> the <strong>HIV</strong> households<br />

(Rs. 39,298) selected, though efforts were<br />

made to capture economically similar<br />

placed households. Nearly 40 percent<br />

<strong>of</strong> the rural <strong>HIV</strong> households selected<br />

had an annual <strong>in</strong>come <strong>of</strong> less than Rs.<br />

20,000. The average <strong>in</strong>come <strong>of</strong> the urban<br />

households was found to higher than<br />

that <strong>of</strong> the rural <strong>in</strong> both categories <strong>of</strong><br />

households. The availability <strong>of</strong> basic<br />

amenities, ownership <strong>of</strong> house/flats <strong>and</strong><br />

consumer durables <strong>in</strong> the households<br />

<strong>in</strong>dicated a low economic status <strong>of</strong> the<br />

sample households.<br />

Most <strong>of</strong> the PLWHA were <strong>in</strong> the age group<br />

<strong>of</strong> 20-40 years, with nearly 60 percent <strong>of</strong><br />

the women between 20-30 years <strong>and</strong> 56<br />

percent <strong>of</strong> the men between 31-40 years.<br />

Nearly 76 percent <strong>of</strong> the men <strong>and</strong> 48<br />

percent <strong>of</strong> the women were married at<br />

the time <strong>of</strong> the survey. Percentage <strong>of</strong> men<br />

separated/divorced/ab<strong>and</strong>oned was 3.7,<br />

while for women it was 6.7. Three percent<br />

<strong>of</strong> the men were widowers <strong>and</strong> 38 percent<br />

<strong>of</strong> the women, widows. The sample<br />

PLWHA was poorly educated. Nearly 30<br />

percent men <strong>and</strong> 28 percent women were<br />

wage earners while 15 percent men <strong>and</strong><br />

17 percent women were salary earners.<br />

About 19 percent were engaged <strong>in</strong> the<br />

transport sector, which is considered<br />

one <strong>of</strong> the high <strong>HIV</strong>-risk occupational<br />

sectors. While about 17 percent men were<br />

unemployed, 33 percent <strong>of</strong> the women<br />

were not found to be engaged <strong>in</strong> any<br />

<strong>in</strong>come earn<strong>in</strong>g activity.<br />

<strong>Impact</strong> on employment <strong>and</strong><br />

<strong>in</strong>come<br />

Analysis <strong>of</strong> the average annual household<br />

<strong>in</strong>come based on occupations shows<br />

the agricultural wage earners with the<br />

least <strong>and</strong> the salaried with the highest<br />

Nearly 40 percent<br />

<strong>of</strong> the rural <strong>HIV</strong><br />

households<br />

selected had an<br />

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

less than<br />

Rs. 20,000<br />

Executive Summary<br />

xiii

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