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Socio-Economic Impact of HIV and AIDS in Tamil nadu

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Table 5.18<br />

Consumption poverty <strong>in</strong> the sample group by occupational categories<br />

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

Occupation<br />

All<br />

Poverty head<br />

count ratio<br />

No. <strong>of</strong> poor<br />

persons<br />

No. <strong>of</strong> poor<br />

households<br />

Annual per capita<br />

expenditure <strong>of</strong><br />

poor<br />

Cultivation 2.53 2 12 3,773<br />

Agri. wage labour 11.81 16 88 4,112<br />

Non-agricultural wage 12.52 39 172 5,441<br />

Self-employed<br />

non-agriculture<br />

8.51 14 66 5,267<br />

Salaried 3.39 8 37 5,212<br />

Others 8.39 8 40 5,594<br />

Total 8.41 87 415 5,078<br />

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

Occupation<br />

All<br />

Poverty head<br />

count ratio<br />

No. <strong>of</strong> poor<br />

persons<br />

No. <strong>of</strong> poor<br />

households<br />

Annual per capita<br />

expenditure <strong>of</strong><br />

poor<br />

Cultivation 8.33 9 2 3,994<br />

Agri. wage labour 16.52 38 9 3,388<br />

Non-agricultural wage 14.32 61 15 4,060<br />

Self-employed nonagriculture<br />

16.04 30 7 4,576<br />

Salaried 9.62 25 5 4,224<br />

Others 27.83 86 19 3,339<br />

Total 16.38 249 57 3,785<br />

the epidemic on their own rather than<br />

through support from the government.<br />

These households need much greater<br />

support from the government <strong>in</strong> terms<br />

<strong>of</strong> access <strong>and</strong> affordability <strong>of</strong> medical<br />

care. It is also seen that <strong>HIV</strong> households<br />

are spend<strong>in</strong>g much larger amounts on<br />

house rent than non-<strong>HIV</strong> households.<br />

Many <strong>of</strong> them may have been forced to<br />

sell <strong>of</strong>f their houses <strong>in</strong> order to pay for<br />

medical attention or to cope with loss<br />

<strong>of</strong> <strong>in</strong>come due to absence from work or<br />

loss <strong>of</strong> employment. Special attention<br />

has to be directed to the <strong>HIV</strong> households<br />

who have to reallocate consumption<br />

expenditure to medical expenses out <strong>of</strong> a<br />

lower level <strong>of</strong> consumption expenditure,<br />

ma<strong>in</strong>ly by reduc<strong>in</strong>g food expenditure.<br />

In order to meet the heavy burden <strong>of</strong><br />

medical expenditure, the <strong>HIV</strong> households<br />

are undercutt<strong>in</strong>g the expenditure on<br />

other items <strong>and</strong> one <strong>of</strong> the sectors be<strong>in</strong>g<br />

affected is that <strong>of</strong> education which<br />

may later have repercussions on the<br />

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

The results also show that not only are<br />

the average <strong>and</strong> per capita sav<strong>in</strong>gs <strong>of</strong> <strong>HIV</strong><br />

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

households for lower <strong>in</strong>come groups, but<br />

<strong>Impact</strong> on the Level <strong>and</strong> Pattern <strong>of</strong> Consumption <strong>and</strong> Sav<strong>in</strong>gs <strong>of</strong> the Households<br />

73

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