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

Unemployment, Male (% Of Male Labor Force)

@worldbank.education_statistics.sl_uem_totl_ma_zs

53.51 kB
27,472 rows
3 columns

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

Unemployment, Total (% Of Total Labor Force)

@worldbank.education_statistics.sl_uem_totl_zs

52.12 kB
27,472 rows
3 columns

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

Population, Ages 0-14, Female

@worldbank.education_statistics.sp_pop_0014_fe_in

89.76 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_0014_fe_in (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 0-14, Male

@worldbank.education_statistics.sp_pop_0014_ma_in

89.86 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_0014_ma_in (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 0-14, Total

@worldbank.education_statistics.sp_pop_0014_to

91.37 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_0014_to (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 0-14 (% Of Total)

@worldbank.education_statistics.sp_pop_0014_to_zs

116.31 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_0014_to_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 3-5, Female

@worldbank.education_statistics.sp_pop_0305_fe_un

40.41 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_0305_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 3-5, Male

@worldbank.education_statistics.sp_pop_0305_ma_un

40.37 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_0305_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 3-5, Total

@worldbank.education_statistics.sp_pop_0305_to_un

41 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_0305_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 4-6, Female

@worldbank.education_statistics.sp_pop_0406_fe_un

40.4 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_0406_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 4-6, Male

@worldbank.education_statistics.sp_pop_0406_ma_un

40.34 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_0406_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 4-6, Total

@worldbank.education_statistics.sp_pop_0406_to_un

41.03 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_0406_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 5-9, Female

@worldbank.education_statistics.sp_pop_0509_fe_un

40.77 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_0509_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 5-9, Male

@worldbank.education_statistics.sp_pop_0509_ma_un

40.79 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_0509_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 5-9, Total

@worldbank.education_statistics.sp_pop_0509_to_un

41.65 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_0509_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 5-10, Female

@worldbank.education_statistics.sp_pop_0510_fe_un

40.99 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_0510_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 5-10, Male

@worldbank.education_statistics.sp_pop_0510_ma_un

41 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_0510_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 5-10, Total

@worldbank.education_statistics.sp_pop_0510_to_un

41.83 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_0510_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 5-11, Female

@worldbank.education_statistics.sp_pop_0511_fe_un

41.11 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_0511_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 5-11, Male

@worldbank.education_statistics.sp_pop_0511_ma_un

41.15 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_0511_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 5-11, Total

@worldbank.education_statistics.sp_pop_0511_to_un

42.01 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_0511_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 6-9, Female

@worldbank.education_statistics.sp_pop_0609_fe_un

40.53 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_0609_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 6-9, Male

@worldbank.education_statistics.sp_pop_0609_ma_un

40.6 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_0609_ma_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 6-9, Total

@worldbank.education_statistics.sp_pop_0609_to_un

41.32 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_0609_to_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population, Ages 6-10, Female

@worldbank.education_statistics.sp_pop_0610_fe_un

40.78 kB
27,472 rows
3 columns

CREATE TABLE sp_pop_0610_fe_un (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);