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Socio-Economic Impact of HIV and AIDS in Tamil nadu

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Table 3.3<br />

Distribution <strong>of</strong> sample households<br />

by household <strong>in</strong>come categories<br />

(<strong>in</strong> Percentages)<br />

Characteristics <strong>HIV</strong> households Non-<strong>HIV</strong> households<br />

Rural Urban Total Rural Urban Total<br />

Annual HH <strong>in</strong>come (Rs.)<br />

1. Upto 20,000 44.8 20.9 33.9 9.5 4.3 7.2<br />

2. 20,001-30,000 22.9 16 19.8 34.3 21.2 28.3<br />

3. 30,001-41,000 10.8 15 12.7 19.2 16.8 18.1<br />

4. 41,001-84,000 19.3 35.3 26.6 30.3 43 36.2<br />

5. 84,000 & above 2.3 12.8 7.1 6.6 14.7 10.3<br />

Average HH <strong>in</strong>come (Rs.) 29,019 51,556 39,298 41,586 57,450 48,878<br />

household heads <strong>and</strong> 38 percent <strong>of</strong> the<br />

non-<strong>HIV</strong> household heads were wage<br />

earners. About 17 percent <strong>of</strong> the heads<br />

<strong>of</strong> <strong>HIV</strong> households <strong>and</strong> nearly 22 percent<br />

<strong>of</strong> non-<strong>HIV</strong> household heads were salary<br />

earners. While the distribution accord<strong>in</strong>g<br />

to occupational groups was similar<br />

between both the households, certa<strong>in</strong><br />

variations <strong>in</strong> the category <strong>of</strong> distribution<br />

accord<strong>in</strong>g to <strong>in</strong>come were observed.<br />

3.1.1 <strong>Economic</strong> status <strong>of</strong> the<br />

sample households<br />

Although an effort was made to draw<br />

the sample <strong>of</strong> non-<strong>HIV</strong> households to<br />

match the <strong>in</strong>come distribution levels <strong>of</strong><br />

<strong>HIV</strong> households, the two did not work<br />

out to be exactly similar. While nearly<br />

34 percent <strong>of</strong> <strong>HIV</strong> households are from<br />

the lowest <strong>in</strong>come group <strong>of</strong> less than Rs.<br />

20,000 per annum, only about 7 percent <strong>of</strong><br />

non-<strong>HIV</strong> households belong to this group.<br />

While 33 percent <strong>of</strong> <strong>HIV</strong> households<br />

are <strong>in</strong> the <strong>in</strong>come range <strong>of</strong> Rs. 20,001 to<br />

Rs. 41,000, the non-<strong>HIV</strong> households <strong>in</strong><br />

this range account for 46 percent <strong>of</strong> the<br />

sample. Consequently, the percentage<br />

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

41,001 among the non-<strong>HIV</strong> sample is 47<br />

percent while it is only 33 percent among<br />

<strong>HIV</strong> households. Because <strong>of</strong> this, it is seen<br />

that the average household <strong>in</strong>come <strong>of</strong> <strong>HIV</strong><br />

households is less than that <strong>of</strong> non-<strong>HIV</strong><br />

households <strong>in</strong> all three; rural, urban, <strong>and</strong><br />

total samples. The average household<br />

<strong>in</strong>come has worked out to Rs. 48,878 for<br />

non-<strong>HIV</strong> households <strong>and</strong> Rs. 39,298 for<br />

<strong>HIV</strong> households. Thus, it is clear from<br />

the table that most <strong>of</strong> the sample <strong>HIV</strong><br />

households belong to low economic <strong>and</strong><br />

educational strata <strong>of</strong> society. Although<br />

there is enough evidence to show that it is<br />

the poor people who are more vulnerable<br />

to <strong>HIV</strong> <strong>and</strong> <strong>AIDS</strong> (UNDP, 2003), <strong>in</strong> the<br />

present sample there are more households<br />

from the poor <strong>and</strong> low-<strong>in</strong>come categories<br />

due to yet another reason. In spite <strong>of</strong><br />

their best efforts, the field <strong>in</strong>vestigators<br />

could not get access to the middle, upper<br />

middle class <strong>and</strong> rich households as they<br />

drew their sample ma<strong>in</strong>ly from public<br />

health facilities <strong>and</strong> NGOs, which mostly<br />

cater to poor/low-<strong>in</strong>come households.<br />

Generally the middle/rich PLWHA would<br />

approach only private health facilities<br />

for reasons <strong>of</strong> anonymity. The doctors<br />

at a reputed private hospital <strong>in</strong> <strong>Tamil</strong><br />

Nadu corroborated this observation. In<br />

an <strong>in</strong>formal discussion with them, it was<br />

learnt that PLWHA do visit them for the<br />

treatment <strong>of</strong> opportunistic <strong>in</strong>fections but<br />

due to reasons <strong>of</strong> confidentiality, the field<br />

<strong>in</strong>vestigators could not get access to such<br />

persons.<br />

The average<br />

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

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

is less than<br />

that <strong>of</strong> non-<strong>HIV</strong><br />

households <strong>in</strong> all<br />

three; rural, urban,<br />

<strong>and</strong> total samples<br />

Pr<strong>of</strong>ile <strong>of</strong> Sample Households <strong>and</strong> PLWHA<br />

23

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