Recent findings released by Gallup
indicate that China’s female labor force participation rate (70%) is
significantly greater than India’s (25%).
Not only are Indian women less likely to be present in their country’s
labor force than Chinese women, women in India’s labor force are three times
more likely to be unemployed (with an unemployment rate of 15%) than their
Chinese counterparts (with an unemployment rate of 5%). Furthermore, women in
China are nearly twice as likely to be employed full-time than women in India (21%
verses 11%). In addition, 53% of
highly educated Chinese women reportedly hold a “good job” whereas only 17% of
Indian women who received tertiary education maintain a “good job”. There are also significant discrepancies
in the literacy rates of Chinese females (91%) and the Indian females
(50%). In sum, Chinese women
are much more likely to receive even a basic education than Indian women, and,
among Chinese and Indian women who receive higher education, Chinese women are
much more likely to find full-time employment. While the Chinese economy (with
a 9% growth rate) is currently out-performing India’s economy, (with a 6.8%
growth rate) China’s growth is expected to stall due to low fertility rates and
an aging population. On the other hand, India’s population of working-aged
citizens is expected to steadily increase until about 2030 and this can lead to
major economic growth if India encourages greater female labor force
participation.
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TeachingWithData.org is a partnership between the Inter-university Consortium for Political and Social Research (ICPSR) and the Social Science Data Analysis Network (SSDAN), both at the University of Michigan. The project is funded by NSF Award 0840642, George Alter (ICPSR), PI and William Frey (SSDAN), co-PI.
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