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Education Access Global Insights
Education & Learning Analytics
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About
This dataset provides a global database on out-of-school children rates for 2021, drawing on household survey data collected by UNICEF over the past decade. Education is a critical factor in a child's development and ultimately contributes to a country's progress. This data allows for the extraction of vital insights concerning out-of-school rates worldwide.
Columns
The dataset comprises 17 columns, providing detailed insights into out-of-school rates:
- ISO3: Three-digit alphabetical codes assigned by the International Organization for Standardization (ISO 3166-1).
- Country Name: The name of the country or area.
- Region: The broader geographical region, such as East Asia and the Pacific (EAP), Europe and Central Asia (ECA), Eastern Europe and Central Asia (EECA), Eastern and Southern Africa (ESA), Latin America and the Caribbean (LAC), Middle East and North Africa (MENA), North America (NA), South Asia (SA), Sub-Saharan Africa (SSA), and West and Central Africa (WCA).
- Sub-region: A more specific geographical sub-division.
- Development Regions: Classification of economies into four income groupings: low, lower-middle, upper-middle, and high-income countries.
- Total: The total percentage of children who are out of school (mean 14.5%).
- Female: The percentage of female children who are out of school (mean 15.2%).
- Male: The percentage of male children who are out of school (mean 13.8%).
- Rural_Residence: The percentage of children residing in rural areas who are out of school (mean 17.8%).
- Urban_Residence: The percentage of children residing in urban areas who are out of school (mean 9.85%).
- Poorest_Wealth quintile: The percentage of children in the poorest wealth quintile who are out of school (mean 24.5%).
- Second_Wealth quintile: The percentage of children in the second wealthiest quintile who are out of school (mean 18.5%).
- Middle_Wealth quintile: The percentage of children in the middle wealth quintile who are out of school (mean 15.1%).
- Fourth_Wealth quintile: The percentage of children in the fourth wealthiest quintile who are out of school (mean 11.2%).
- Richest_Wealth quintile: The percentage of children in the richest wealth quintile who are out of school (mean 7.25%).
- Data source: Indicates the specific survey or data collection source (e.g., MICS 2018).
- Time period: Represents the year(s) in which the data collection took place.
Distribution
The dataset is typically provided as a CSV file (e.g., Lower Secondary.csv, 13.76 kB). It contains 17 columns with varying numbers of valid records per column. Country-level and regional data are available for 202 unique entries, while specific out-of-school percentage figures are available for subsets of these, with valid entries ranging from 102 to 110 records for demographic and wealth quintile breakdowns.
Usage
This dataset is ideal for analysing trends in global education, identifying regions and demographics most affected by out-of-school rates. It can be used for:
- Informing educational policy and planning.
- Advocacy for children's access to education.
- Research into social issues and development.
- Targeting interventions for vulnerable populations.
Coverage
The dataset offers global coverage, encompassing 202 unique countries and areas across all major regions including East Asia and the Pacific, Europe and Central Asia, Latin America and the Caribbean, and Sub-Saharan Africa. The data reflects the situation in 2021, with underlying survey data collected primarily between 2010 and 2019. Demographic scope includes total children, by gender (male, female), by residence (rural, urban), and across five wealth quintiles (poorest to richest). It should be noted that there are missing values for certain demographic and wealth-related out-of-school rate columns.
License
CC0: Public Domain
Who Can Use It
This dataset is valuable for:
- Researchers and academics studying education, sociology, and international development.
- Non-governmental organisations (NGOs) and charities focused on child welfare and education.
- Policymakers and government agencies involved in educational reforms and social programmes.
- Data analysts and statisticians interested in global trends and disparities.
Dataset Name Suggestions
- Global Out-of-School Children Rates 2021
- UNICEF Child Education Disparity Data
- Worldwide Out-of-School Statistics by Demographics
- Education Access Global Insights
- International Child Schooling Gap Data
Attributes
Original Data Source: Education Access Global Insights
QUALITY