About this Dataset

Education Statistics

The World Bank EdStats Query holds around 2,500 internationally comparable education indicators for access, progression, completion, literacy, teachers, population, and expenditures.

The indicators cover the education cycle from pre-primary to tertiary education. The query also holds learning outcome data from international learning assessments (PISA, TIMSS, etc.), equity data from household surveys, and projection data to 2050.

Tables

Population, Age 4, Male

@worldbank.education_statistics.sp_pop_ag04_ma_un

39.39 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag04_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 4, Total

@worldbank.education_statistics.sp_pop_ag04_to_un

38.73 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag04_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 5, Female

@worldbank.education_statistics.sp_pop_ag05_fe_un

38.12 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag05_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 5, Male

@worldbank.education_statistics.sp_pop_ag05_ma_un

39.47 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag05_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 5, Total

@worldbank.education_statistics.sp_pop_ag05_to_un

38.81 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag05_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 6, Female

@worldbank.education_statistics.sp_pop_ag06_fe_un

38.17 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag06_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 6, Male

@worldbank.education_statistics.sp_pop_ag06_ma_un

39.49 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag06_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 6, Total

@worldbank.education_statistics.sp_pop_ag06_to_un

38.79 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag06_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 7, Female

@worldbank.education_statistics.sp_pop_ag07_fe_un

38.29 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag07_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 7, Male

@worldbank.education_statistics.sp_pop_ag07_ma_un

39.39 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag07_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 7, Total

@worldbank.education_statistics.sp_pop_ag07_to_un

38.71 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag07_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 8, Female

@worldbank.education_statistics.sp_pop_ag08_fe_un

38.17 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag08_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 8, Male

@worldbank.education_statistics.sp_pop_ag08_ma_un

39.46 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag08_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 8, Total

@worldbank.education_statistics.sp_pop_ag08_to_un

38.72 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag08_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 9, Female

@worldbank.education_statistics.sp_pop_ag09_fe_un

38.1 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag09_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 9, Male

@worldbank.education_statistics.sp_pop_ag09_ma_un

39.4 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag09_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 9, Total

@worldbank.education_statistics.sp_pop_ag09_to_un

38.59 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag09_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 10, Female

@worldbank.education_statistics.sp_pop_ag10_fe_un

38.11 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag10_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 10, Male

@worldbank.education_statistics.sp_pop_ag10_ma_un

39.37 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag10_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 10, Total

@worldbank.education_statistics.sp_pop_ag10_to_un

38.79 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag10_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 11, Female

@worldbank.education_statistics.sp_pop_ag11_fe_un

38.22 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag11_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 11, Male

@worldbank.education_statistics.sp_pop_ag11_ma_un

39.51 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag11_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 11, Total

@worldbank.education_statistics.sp_pop_ag11_to_un

38.79 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag11_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 12, Female

@worldbank.education_statistics.sp_pop_ag12_fe_un

38.29 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag12_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 12, Male

@worldbank.education_statistics.sp_pop_ag12_ma_un

39.48 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag12_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);