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, Ages 14-18, Male

@worldbank.education_statistics.sp_pop_1418_ma_un

40.87 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1418_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 14-18, Total

@worldbank.education_statistics.sp_pop_1418_to_un

41.6 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1418_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 14-19, Female

@worldbank.education_statistics.sp_pop_1419_fe_un

40.96 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1419_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 14-19, Male

@worldbank.education_statistics.sp_pop_1419_ma_un

40.98 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1419_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 14-19, Total

@worldbank.education_statistics.sp_pop_1419_to_un

41.78 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1419_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 15-24, Female

@worldbank.education_statistics.sp_pop_1524_fe_un

41.47 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1524_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 15-24, Male

@worldbank.education_statistics.sp_pop_1524_ma_un

41.65 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1524_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 15-24, Total

@worldbank.education_statistics.sp_pop_1524_to_un

42.39 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1524_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 15-64, Female

@worldbank.education_statistics.sp_pop_1564_fe_in

91.56 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1564_fe_in (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 15-64, Male

@worldbank.education_statistics.sp_pop_1564_ma_in

91.43 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1564_ma_in (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 15-64, Total

@worldbank.education_statistics.sp_pop_1564_to

93.35 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1564_to (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 15-64 (% Of Total)

@worldbank.education_statistics.sp_pop_1564_to_zs

120.99 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1564_to_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 0, Female

@worldbank.education_statistics.sp_pop_ag00_fe_un

38.35 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag00_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 0, Male

@worldbank.education_statistics.sp_pop_ag00_ma_un

39.47 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag00_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 0, Total

@worldbank.education_statistics.sp_pop_ag00_to_un

38.84 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag00_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 1, Female

@worldbank.education_statistics.sp_pop_ag01_fe_un

38.17 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag01_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 1, Male

@worldbank.education_statistics.sp_pop_ag01_ma_un

39.48 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag01_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 1, Total

@worldbank.education_statistics.sp_pop_ag01_to_un

38.83 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag01_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 2, Female

@worldbank.education_statistics.sp_pop_ag02_fe_un

38.13 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag02_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 2, Male

@worldbank.education_statistics.sp_pop_ag02_ma_un

39.4 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag02_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 2, Total

@worldbank.education_statistics.sp_pop_ag02_to_un

38.76 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag02_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 3, Female

@worldbank.education_statistics.sp_pop_ag03_fe_un

38.15 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag03_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 3, Male

@worldbank.education_statistics.sp_pop_ag03_ma_un

39.43 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag03_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 3, Total

@worldbank.education_statistics.sp_pop_ag03_to_un

38.76 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag03_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Age 4, Female

@worldbank.education_statistics.sp_pop_ag04_fe_un

38.18 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_ag04_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);