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
