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 12, Total

@worldbank.education_statistics.sp_pop_ag12_to_un

38.81 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag12_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 13, Female

@worldbank.education_statistics.sp_pop_ag13_fe_un

38.21 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag13_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 13, Male

@worldbank.education_statistics.sp_pop_ag13_ma_un

39.5 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag13_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 13, Total

@worldbank.education_statistics.sp_pop_ag13_to_un

38.8 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag13_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 14, Female

@worldbank.education_statistics.sp_pop_ag14_fe_un

38.21 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag14_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 14, Male

@worldbank.education_statistics.sp_pop_ag14_ma_un

39.37 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag14_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 14, Total

@worldbank.education_statistics.sp_pop_ag14_to_un

38.77 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag14_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 15, Female

@worldbank.education_statistics.sp_pop_ag15_fe_un

38.31 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag15_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 15, Male

@worldbank.education_statistics.sp_pop_ag15_ma_un

39.51 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag15_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 15, Total

@worldbank.education_statistics.sp_pop_ag15_to_un

38.74 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag15_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 16, Female

@worldbank.education_statistics.sp_pop_ag16_fe_un

38.21 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag16_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 16, Male

@worldbank.education_statistics.sp_pop_ag16_ma_un

39.4 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag16_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 16, Total

@worldbank.education_statistics.sp_pop_ag16_to_un

38.78 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag16_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 17, Female

@worldbank.education_statistics.sp_pop_ag17_fe_un

38.19 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag17_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 17, Male

@worldbank.education_statistics.sp_pop_ag17_ma_un

39.47 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag17_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 17, Total

@worldbank.education_statistics.sp_pop_ag17_to_un

38.85 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag17_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 18, Female

@worldbank.education_statistics.sp_pop_ag18_fe_un

38.12 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag18_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 18, Male

@worldbank.education_statistics.sp_pop_ag18_ma_un

39.51 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag18_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 18, Total

@worldbank.education_statistics.sp_pop_ag18_to_un

38.73 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag18_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 19, Female

@worldbank.education_statistics.sp_pop_ag19_fe_un

38.12 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag19_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 19, Male

@worldbank.education_statistics.sp_pop_ag19_ma_un

39.47 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag19_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 19, Total

@worldbank.education_statistics.sp_pop_ag19_to_un

38.82 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag19_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 20, Female

@worldbank.education_statistics.sp_pop_ag20_fe_un

38.21 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag20_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 20, Male

@worldbank.education_statistics.sp_pop_ag20_ma_un

39.51 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag20_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 20, Total

@worldbank.education_statistics.sp_pop_ag20_to_un

38.82 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag20_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);