Understanding Death Rates and Demographic Inferences

The question provides estimated death rates for Kerala (7.6) and Bihar (6) from the SRS Bulletin of September 2017. The death rate, often referred to as the crude death rate, represents the number of deaths per 1000 population in a given year. While a lower death rate might intuitively suggest better health, demographic factors, particularly the age structure of the population, play a significant role in the crude death rate.

Analyzing the Given Data: Kerala vs. Bihar Death Rates

We are given:

• Estimated Death Rate for Kerala: 7.6 per 1000 population
• Estimated Death Rate for Bihar: 6 per 1000 population

This shows that, as per the 2017 data, Kerala had a higher crude death rate than Bihar.

Evaluating the Possible Inferences

Let's examine each option to determine which is the most correct inference based on the provided death rates:

Option 1: Health condition of people in Bihar is better than that in Kerala.

• A lower crude death rate does not automatically mean the health condition of the population is better overall.
• Crude death rate is heavily influenced by the age distribution. A population with a larger proportion of young people will tend to have a lower crude death rate, even if age-specific death rates for certain diseases are higher than in another region.
• Kerala is generally known for having better health indicators and healthcare access compared to Bihar. Therefore, inferring better health in Bihar solely based on a lower crude death rate might be misleading without considering age structure.

Option 2: Suicide rate in Kerala is very high.

• The data provided is the overall estimated death rate (crude death rate). It does not give information about specific causes of death, such as suicide.
• Therefore, we cannot infer anything about the suicide rate in Kerala from this general death rate figure.

Option 3: Life Expectancy in Bihar is higher than that in Kerala.

• Life expectancy is a measure related to age-specific death rates throughout a person's life. It is generally considered a better indicator of overall population health and living conditions than the crude death rate alone.
• Kerala typically has a higher life expectancy than Bihar, largely due to better healthcare, education, and social development.
• A higher crude death rate in Kerala, despite potentially better life expectancy, suggests that demographic factors are at play.

Option 4: Ageing of population in Kerala is faster than in Bihar.

• This inference aligns well with the observed data and general demographic trends in India.
• States like Kerala have undergone a faster demographic transition, characterized by lower birth rates and lower death rates, leading to a larger proportion of older people in the population.
• Bihar, historically, has had higher birth rates and a younger population structure.
• An older population naturally has a higher number of deaths per 1000 people because mortality rates are higher in older age groups. Even if age-specific death rates at each age are lower in Kerala than in Bihar, the higher proportion of older people in Kerala can result in a higher overall crude death rate compared to Bihar, which has a younger population.
• Therefore, the higher crude death rate in Kerala compared to Bihar, as per the SRS Bulletin 2017, is a strong indicator of a more aged population structure in Kerala.

Conclusion on Death Rate Inference

Based on the analysis, the most plausible inference from the data that Kerala has a higher death rate (7.6) than Bihar (6) is that the population in Kerala is older on average than the population in Bihar. This phenomenon is often described as faster ageing of the population in Kerala.

Revision Table: Key Demographic Indicators

Additional Information: Crude Death Rate and Ageing Population

It is crucial to understand that the crude death rate is a summary measure and can be misleading when comparing populations with different age distributions. A region with excellent health care and high life expectancy might still have a higher crude death rate than a region with poorer health outcomes if the former has a much older population. This is because older people, even with good health care, have higher mortality rates than younger people. This demographic concept explains why states like Kerala, which are ahead in demographic transition with lower fertility and increased longevity leading to an older age structure, might show a higher crude death rate than states with younger populations like Bihar, despite potentially better health indicators in Kerala.