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# 2.03 Population Statistics

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## Anh Nguyen

on 21 September 2013

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#### Transcript of 2.03 Population Statistics

2.03 Population Statistics
A). Explain possible reasons for the differences between the population data for Pakistan (infant mortality, total rate of fertility, life expectancy, and natural increase rate) and the same data for Spain.
Anh Nguyen
APUSH
FLVA
Infant mortality rate(IMR):
IMR is the annual number of children who die before their first birthday. The IMR of Pakistan is much higher than that of Spain (67.36 vs 4.21). We can conclude that the medical advancement in Pakistan is less develop in that of Spain. In general, Pakistan is just less develop than Spain.

The total fertility rate of Pakistan is again higher than that of Spain (3.43 vs 1.31). This reflect on the fact that Pakistan has a lower percentage of women who are educated than that of Spain.

Life expectancy:
The life expectancy of Pakistan is much lower than that of Spain (65.26 vs 80.05). Life expectancy correlate directly with the countries development and its economic. We can conclude that Spain is more prosperous than that of Pakistan, and they are also more medically advance.

Natural Increase Rate:
Due to Pakistan having a higher birth rate, The NIR of Pakistan is higher than that of Spain (1.555 vs .72). Both of these numbers are good due to the fact that the crude death rate is lower than the crude birth rate,
B). Based on the numbers given for Pakistan and Spain, predict what the missing data will be for Indonesia, the Philippines, Kazakhstan, the United Kingdom, and Australia. Predictions don’t need to be exact but can be given in ranges (between one and two, or between 60 and 70).
C). Choose any two of the nations shown in the table and suggest public policies that would affect the data you predicted, giving reasons for your suggestions.
Pakistan
Indonesia
To increase life expectancy in Pakistan,
there should be classes to teach