Lead
Over the past 20 years, there has been significant progress in reducing the number of girls missing school. However, girls from lower-income backgrounds, still make up the largest portion of those who remain out of school worldwide.
Excel workbook link and explanation
My excel workbook can be found here
The dataset shows the female primary school dropout rate worldwide. It provides insight into how dropout rates for girls in primary education have changed over time.
The RAW sheet contains country level data on the number of female children out of primary school. Data is organized by country, with values from 1990 to 2023 for each. Some entries have missing data.
The Slice sheet aggregates data by income group (e.g, high income, low income) and a total global count. This dataset shows yearly values from 2000 to 2023, giving a more general overview of trends in school dropout rates by income level.
There were several ways to analyze this data set on girls missing school in each country, but I found it most interesting to focus on the differences between high income and low income families.
Here are my findings:
Lower middle income families had A decrease in the percentage of girls out of school, indicating improved school attendance overtime.
Upper middle income families experienced a slight increase in the percentage of girls missing school.
Low income families had a rising percentage of girls out of school, showing that more girls in these families missed education.
High income families showed a minor decrease suggesting consistent attendance.
Im assuming COVID-19 had an impact among the lower income families because the percentage of girls missing school spiked in 2020. Meanwhile, lower middle income families displayed the opposite trend.
When adding the four income categories, the global total of girls out of school drop from 65.1 million in 2000 to 33.9 million in 2023, highlighting significant overall progress.
Original dataset link
Hey Bahar I really like the topic you have chosen because it can be a real problem and cause for controversy. If I were you I would try to shorten your lead sentence for example: In the last two decades there's been a significant reduction of young girls missing school with the majority still being from low income backgrounds.
ReplyDeleteHi Bahar, you've chosen an important topic to analyze and I really appreciate that you've highlighted a change in disparity between high and low income families. Consider condensing your lead into a single sentence, which will help captivate a reader much more. Additionally, when you say "the largest portion," it would strengthen your statement if the supporting numbers were also mentioned.
ReplyDeleteHi Bahar, I found your topic and analysis very interesting. i would suggest to shorten your lead to make it more of a hook. I think you have a great amount of data present and your findings are great!
ReplyDeleteHi Bahar, I found both the your topic and presentation of it quite interesting. I agree with the other comments about your lead, it would be best to shorten it and make it more like a hook, and also maybe consider adding in some sort of indicator about the proportion or amount about the reduction or increase of girls missing schools. Also, I would consider adding the specific percentages of your findings to the actual blog post as well. other than that, you give some interesting speculation and insight, good job!
ReplyDeleteHi Bahar, your topic is really interesting, however, I feel like condensing your lead into something shorter, even though your current lead does a good job at attracting people to your data, it is a bit too long
ReplyDeleteHi Bahar. I really enjoyed reading your analysis on female primary school dropout rates. It’s such an important topic, and your focus on income levels provides a clear perspective on how economic factors affect girls’ education. One suggestion would be to shorten your lead a bit to make it more direct and impactful—this could help grab the reader’s attention right from the start. Also, adding some specific numbers or percentages in your findings could make the trends stand out even more. Great job overall!
ReplyDelete