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Kerala 2005 - of Planning Commission

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CHAPTER 2<br />

ASSESSING DEVELOPMENT: SOME NON- INCOME DIMENSIONS<br />

29<br />

Table 2.7: Coverage <strong>of</strong> Child Immunisation and Low Birth Weight Babies by Districts, 1998-99<br />

Districts<br />

Immunisation<br />

(%)<br />

BCG 3 Doses 3 Doses Measles Complete<br />

<strong>of</strong> DPT <strong>of</strong> Polio<br />

Immunisation<br />

Low Birth<br />

Weight (%)<br />

Thiruvananthapuram 99.3 90.8 94.3 85.9 81.6 11<br />

Kollam 99.4 95.9 95.9 93.5 90.6 12<br />

Pathanamthitta 100.0 97.1 96.4 97.1 91.4 18<br />

Alappuzha 100.0 98.6 98.6 99.3 97.4 12<br />

Kottayam 99.2 91.0 88.8 90.3 79.1 18<br />

Idukki 98.3 96.7 95.7 92.4 90.8 15<br />

Ernakulam 100.0 98.0 96.7 95.4 93.4 18<br />

Thrissur 99.0 96.0 94.0 93.5 90.5 13<br />

Palakkad 95.1 85.8 82.9 85.3 75.1 16<br />

Malappuram 87.7 72.9 76.4 65.5 59.8 17<br />

Kozhikode 98.4 96.4 93.9 94.9 90.9 17<br />

Wayanad 97.6 90.5 90.5 85.5 82.3 30<br />

Kannur 97.5 91.3 90.9 87.6 84.7 15<br />

Kasaragod 97.9 94.1 93.2 90.3 87.4 15<br />

<strong>Kerala</strong> 97.3 91.4 91.3 88.6 84.0 16.0<br />

Coefficient <strong>of</strong> Variation (%) 3.1 7.0 6.2 8.9 10.7 27.8<br />

Source: Reproductive and Child Health Survey, 1998-99.<br />

Note: Complete Immunisation = BCG + 3 doses <strong>of</strong> DPT + 3 doses <strong>of</strong> polio drops + measles.<br />

awareness, in turn, perhaps owes to the disappearance <strong>of</strong><br />

disparities in literacy in the wake <strong>of</strong> a series <strong>of</strong> adult and<br />

non-formal education activities, culminating in the Total<br />

Literacy Programme (1989-91), which sought to address<br />

the problem <strong>of</strong> ‘residual literacy’ in the districts.<br />

Marring these achievements are some emerging areas<br />

<strong>of</strong> concern that appear to be contradictions in human<br />

development in the State and which also need to be noted.<br />

2.8 Morbidity<br />

While <strong>Kerala</strong> had been hailed for its very low levels<br />

<strong>of</strong> mortality, the National Sample Survey conducted in<br />

1973-74 reported a startling finding that <strong>Kerala</strong>’s morbidity<br />

was one <strong>of</strong> the highest in India, 71 per 1,000 persons<br />

in the case <strong>of</strong> acute illness and 83 per 1,000 persons<br />

in the case <strong>of</strong> chronic illness. Subsequently, surveys<br />

conducted by KSSP (Kannan et al, 1990; Kunhikannan<br />

and Aravindan, 2000), National Council <strong>of</strong> Applied<br />

Economic Research in 1992-93 at the all-India level and<br />

the 52nd round <strong>of</strong> NSS data collected during 1995-96<br />

confirmed high levels <strong>of</strong> acute and chronic morbidity<br />

in <strong>Kerala</strong>. All these estimates were based on surveys <strong>of</strong><br />

illnesses as perceived by the respondents.<br />

Although the different sources threw up substantially<br />

different rates <strong>of</strong> morbidity, they all indicated that <strong>Kerala</strong><br />

had the highest rates <strong>of</strong> morbidity among the major Indian<br />

States. This led to an interesting debate on whether the<br />

reported high rates <strong>of</strong> morbidity were ‘real’ or due to<br />

better reporting given the higher levels <strong>of</strong> education and<br />

awareness among the people about health care services.<br />

However, the KSSP study <strong>of</strong> 1987 based on a survey <strong>of</strong><br />

10,000 households argued that <strong>Kerala</strong>’s high morbidity<br />

was to a large extent real due to two reasons: First,<br />

infections constitute a large share <strong>of</strong> morbidity, which can<br />

hardly be attributed to perception alone. Second, poor<br />

people reported more illness than the rich, which also<br />

goes against the argument that the perception factor is the<br />

major contributor <strong>of</strong> high reported morbidity in the State<br />

(Kannan et al, 1990).<br />

It is difficult to refute the observation that the reported<br />

prevalence rates <strong>of</strong> some acute illnesses like asthma<br />

and tuberculosis seem to be higher in <strong>Kerala</strong> than in<br />

many other States. For example, according to NFHS II<br />

(1998-99), the prevalence rate <strong>of</strong> tuberculosis is 5 per<br />

1,000 population in <strong>Kerala</strong>, which is significantly higher<br />

than many other States such as Tamil Nadu, Karnataka,<br />

Maharashtra, Rajasthan, Punjab and Haryana. The KSSP

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