Gender (NO) equality.
Gender discrimination is a much wider phenomenon of discrimination against women that has been for long time and is global. Only recently movements and laws in developed countries have permitted the rights of women (For example, women now have the right to own property, vote, marry whom they choose, limit the number of children they want to bear, or “maybe”have equal chances in the work place). But, in many parts of the world, discrimination based on gender takes root deep. For example, many people think women tend to have less access to education, training, and opportunities for employment than men. The reason is long time ago women have little freedoms, that’s why i decided to choose 3 data visualizations illustrating compromising factors of an unequal world for women in South Asia (countries listed according to worldbank: Afghanistan, Pakistan, India, Sri Lanka, Bangladesh, Maledives, Bhutan, Nepal).
Before i begin, i’d like to highlight my choice of region. I chose South Asian countries because it entangles with the common problems of high prevalence of poverty, political instability, crawling economic growth, low education rate and widespread malnutrition. These factors increase the chance of gender equality to still remain far behind to be fulfilled because an educated girl is more likely to make sure her children are vaccinated, nourished, and educated, and is more likely to earn an income to help support her family. The positive effects of investing in women’s empowerment build on one another, and multiply.
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Link to the infochart on infogram : https://infogram.com/women-discimination-1h7v4px7qkp82k0
Children out of school are the number of primary-school-age children not enrolled in primary or secondary school. I Chose Year 2014, As seen in the screenshot below i calculated through Pivot table the percentage of year 2014 and the results are as shown:
Large numbers of children out of school create pressure to enroll children and provide classrooms, teachers, and educational materials, a task made difficult in South Asian countries by limited education budgets. South Asian countries have higher number of female children out of school rather than males because they think that education isn’t as important for women.However, getting females children into school is a high priority for these countries and crucial for achieving equal rights.
Limitations and exceptions:Due to different data sources for enrollment and population data, the number may not capture the actual number of children not attending in primary school.
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International Labour Organization, ILOSTAT database. Data retrieved in November 2017.
In the screenshot below, i calculated the percentage of female and male employees in south Asia through a pivot table, and rounded up the final results:
As seen in the infographic, there’s a huge gap in the number of female employment and male employment. It’s unsurprisingly true because the low rate of educated women may lower their chances to get a job and those who do look for work are less likely than men to find it. What’s more, women in the region have jobs that tend to be of lower quality and offers lower pay compared to their male counterparts. Since South Asian countries have economic crisis shocks, understandably, reshaping of gender-role norms is imperative for improving equality in labour market conditions in order to end poverty.
Limitations and exceptions: Data are drawn from labor force surveys and household surveys, supplemented by official estimates and censuses for a small group of countries. Due to differences in definitions and coverage across countries, there are limitations for comparing data across countries and over time even within a country. Estimates of women in employment are not comparable internationally, reflecting that demographic, social, legal, and cultural trends and norms determine whether women’s activities are regarded as economic.
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Cause of death, by communicable diseases and maternal, prenatal and nutrition conditions, ages 15–59, female and male in South Asia in 2015 is illustrated in the infographic above. The percentages were already given from the world’s bank data, i only rounded up the final results so i chose year 2015 since there was no data relevant to the following information except in this year:
as seen in the results, women have higher risk to die more than men due to lack of health care and money. Education links between the two, which means that the presence of educated women -at least having basic knowledge- may higher their chance of being conscious to their health in order maintain their ability to live.
Limitations and exceptions: The limited availability of data on health status is a major constraint in assessing the health situation in developing countries. Surveillance data are lacking for many major public health concerns. Estimates of prevalence and incidence are available for some diseases but are often unreliable and incomplete. National health authorities differ widely in capacity and willingness to collect or report information. To compensate for this and improve reliability and international comparability, the World Health Organization (WHO) prepares estimates in accordance with epidemiological models and statistical standards.
At the end, gender inequality is unsurprisingly abundant in South Asian countries. Nevertheless, equal access to education, health and employment, and gender perspective mainstreaming can assure the women empowerment and gender equality in long run.
