Baselight

Global Education And Learning

A view of global literacy, schooling years, and gender gaps in education

@kaggle.rehan497_global_education

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About this Dataset

Global Education And Learning

This dataset provides a detailed analysis of global education trends, access, and inequalities over two centuries. It integrates four key data sources covering education attainment, out-of-school children, and gender disparities across countries and regions.

Spanning from 1820 to 2020, the dataset includes over 3,500 records and multiple variables such as country name, ISO code, year, population with or without formal education, and separate counts of out-of-school males and females.

By combining historical depth with recent insights, the dataset allows researchers, policymakers, and education experts to:

  • Monitor long-term trends in basic and universal education.
  • Identify gender gaps and populations at risk of educational exclusion.
  • Compare regional and country-level disparities in educational access.
  • Design targeted interventions to ensure equitable learning opportunities for all children and youth.

This resource serves as a vital tool for understanding both progress and ongoing challenges in global education, supporting data-driven decisions aimed at achieving inclusive and quality education for all.

Tables

N 1 Share Of The World Population With At Least Basic, 8256d661

@kaggle.rehan497_global_education.n_1_share_of_the_world_population_with_at_least_basic__8256d661
  • 10.97 kB
  • 468 rows
  • 5 columns
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CREATE TABLE n_1_share_of_the_world_population_with_at_least_basic__8256d661 (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "share_of_population_with_no_formal_education_1820_2020" DOUBLE  -- Share Of Population With No Formal Education, 1820-2020,
  "share_of_population_with_some_formal_education_1820_2020" DOUBLE  -- Share Of Population With Some Formal Education, 1820-2020
);

N 2 Learning Adjusted Years Of School Lays

@kaggle.rehan497_global_education.n_2_learning_adjusted_years_of_school_lays
  • 13.11 kB
  • 637 rows
  • 4 columns
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CREATE TABLE n_2_learning_adjusted_years_of_school_lays (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "learning_adjusted_years_of_school" DOUBLE
);

N 3 Number Of Out Of School Children

@kaggle.rehan497_global_education.n_3_number_of_out_of_school_children
  • 45.37 kB
  • 2,580 rows
  • 5 columns
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CREATE TABLE n_3_number_of_out_of_school_children (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "out_of_school_children_adolescents_and_youth_of_primar_8d47d775" DOUBLE  -- Out-of-school Children, Adolescents And Youth Of Primary And Secondary School Age, Male (number),
  "out_of_school_children_adolescents_and_youth_of_primar_3600a4ec" DOUBLE  -- Out-of-school Children, Adolescents And Youth Of Primary And Secondary School Age, Female (number)
);

N 4 Gender Gap Education Levels

@kaggle.rehan497_global_education.n_4_gender_gap_education_levels
  • 277.18 kB
  • 9,228 rows
  • 9 columns
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CREATE TABLE n_4_gender_gap_education_levels (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "combined_gross_enrolment_ratio_for_tertiary_education_female" DOUBLE  -- Combined Gross Enrolment Ratio For Tertiary Education, Female,
  "combined_gross_enrolment_ratio_for_tertiary_education_male" DOUBLE  -- Combined Gross Enrolment Ratio For Tertiary Education, Male,
  "combined_total_net_enrolment_rate_secondary_male" DOUBLE  -- Combined Total Net Enrolment Rate, Secondary, Male,
  "combined_total_net_enrolment_rate_secondary_female" DOUBLE  -- Combined Total Net Enrolment Rate, Secondary, Female,
  "combined_total_net_enrolment_rate_primary_female" DOUBLE  -- Combined Total Net Enrolment Rate, Primary, Female,
  "combined_total_net_enrolment_rate_primary_male" DOUBLE  -- Combined Total Net Enrolment Rate, Primary, Male
);

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