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 10-14, Total

@worldbank.education_statistics.sp_pop_1014_to_un

41.69 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1014_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 10-15, Female

@worldbank.education_statistics.sp_pop_1015_fe_un

41.01 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1015_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 10-15, Male

@worldbank.education_statistics.sp_pop_1015_ma_un

41.01 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1015_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 10-15, Total

@worldbank.education_statistics.sp_pop_1015_to_un

41.85 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1015_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 10-16, Female

@worldbank.education_statistics.sp_pop_1016_fe_un

41.18 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1016_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 10-16, Male

@worldbank.education_statistics.sp_pop_1016_ma_un

41.16 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1016_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 10-16, Total

@worldbank.education_statistics.sp_pop_1016_to_un

41.95 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1016_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 10-17, Female

@worldbank.education_statistics.sp_pop_1017_fe_un

41.27 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1017_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 10-17, Male

@worldbank.education_statistics.sp_pop_1017_ma_un

41.33 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1017_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 10-17, Total

@worldbank.education_statistics.sp_pop_1017_to_un

42.15 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1017_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 10-18, Female

@worldbank.education_statistics.sp_pop_1018_fe_un

41.47 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1018_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 10-18, Male

@worldbank.education_statistics.sp_pop_1018_ma_un

41.48 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1018_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 10-18, Total

@worldbank.education_statistics.sp_pop_1018_to_un

42.26 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1018_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 11-15, Female

@worldbank.education_statistics.sp_pop_1115_fe_un

40.81 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1115_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 11-15, Male

@worldbank.education_statistics.sp_pop_1115_ma_un

40.9 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1115_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 11-15, Total

@worldbank.education_statistics.sp_pop_1115_to_un

41.65 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1115_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 11-16, Female

@worldbank.education_statistics.sp_pop_1116_fe_un

40.96 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1116_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 11-16, Male

@worldbank.education_statistics.sp_pop_1116_ma_un

41.06 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1116_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 11-16, Total

@worldbank.education_statistics.sp_pop_1116_to_un

41.86 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1116_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 11-17, Female

@worldbank.education_statistics.sp_pop_1117_fe_un

41.18 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1117_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 11-17, Male

@worldbank.education_statistics.sp_pop_1117_ma_un

41.2 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1117_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 11-17, Total

@worldbank.education_statistics.sp_pop_1117_to_un

41.95 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1117_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 11-18, Female

@worldbank.education_statistics.sp_pop_1118_fe_un

41.29 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1118_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 11-18, Male

@worldbank.education_statistics.sp_pop_1118_ma_un

41.35 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1118_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 11-18, Total

@worldbank.education_statistics.sp_pop_1118_to_un

42.1 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_1118_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);