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 12-15, Female

@worldbank.education_statistics.sp_pop_1215_fe_un

40.49 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1215_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 12-15, Male

@worldbank.education_statistics.sp_pop_1215_ma_un

40.59 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1215_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 12-15, Total

@worldbank.education_statistics.sp_pop_1215_to_un

41.34 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1215_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 12-16, Female

@worldbank.education_statistics.sp_pop_1216_fe_un

40.81 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1216_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 12-16, Male

@worldbank.education_statistics.sp_pop_1216_ma_un

40.82 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1216_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 12-16, Total

@worldbank.education_statistics.sp_pop_1216_to_un

41.69 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1216_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 12-17, Female

@worldbank.education_statistics.sp_pop_1217_fe_un

40.98 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1217_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 12-17, Male

@worldbank.education_statistics.sp_pop_1217_ma_un

41 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1217_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 12-17, Total

@worldbank.education_statistics.sp_pop_1217_to_un

41.81 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1217_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 12-18, Female

@worldbank.education_statistics.sp_pop_1218_fe_un

41.15 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1218_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 12-18, Male

@worldbank.education_statistics.sp_pop_1218_ma_un

41.18 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1218_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 12-18, Total

@worldbank.education_statistics.sp_pop_1218_to_un

42.02 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1218_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 13-16, Female

@worldbank.education_statistics.sp_pop_1316_fe_un

40.58 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1316_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 13-16, Male

@worldbank.education_statistics.sp_pop_1316_ma_un

40.59 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1316_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 13-16, Total

@worldbank.education_statistics.sp_pop_1316_to_un

41.24 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1316_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 13-17, Female

@worldbank.education_statistics.sp_pop_1317_fe_un

40.78 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1317_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 13-17, Male

@worldbank.education_statistics.sp_pop_1317_ma_un

40.83 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1317_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 13-17, Total

@worldbank.education_statistics.sp_pop_1317_to_un

41.59 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1317_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 13-18, Female

@worldbank.education_statistics.sp_pop_1318_fe_un

40.95 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1318_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 13-18, Male

@worldbank.education_statistics.sp_pop_1318_ma_un

41.02 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1318_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 13-18, Total

@worldbank.education_statistics.sp_pop_1318_to_un

41.83 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1318_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 13-19, Female

@worldbank.education_statistics.sp_pop_1319_fe_un

41.18 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1319_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 13-19, Male

@worldbank.education_statistics.sp_pop_1319_ma_un

41.1 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1319_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 13-19, Total

@worldbank.education_statistics.sp_pop_1319_to_un

41.93 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1319_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 14-18, Female

@worldbank.education_statistics.sp_pop_1418_fe_un

40.79 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1418_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);