Teenage Mothers (% Of Women Ages 15-19 Who Have Had Children Or Are Currently Pregnant)

@worldbank.gender_statistics.sp_mtr_1519_zs

10.89 KB
17225 rows
3 columns


CREATE TABLE sp_mtr_1519_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 00-04, Female

@worldbank.gender_statistics.sp_pop_0004_fe

130 KB
17225 rows
3 columns


CREATE TABLE sp_pop_0004_fe (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 00-04, Male

@worldbank.gender_statistics.sp_pop_0004_ma

130.11 KB
17225 rows
3 columns


CREATE TABLE sp_pop_0004_ma (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 0-14, Female

@worldbank.gender_statistics.sp_pop_0014_fe_in

136.65 KB
17225 rows
3 columns


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

Population Ages 0-14, Male

@worldbank.gender_statistics.sp_pop_0014_ma_in

136.38 KB
17225 rows
3 columns


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

Population Ages 0-14, Total

@worldbank.gender_statistics.sp_pop_0014_to

139.57 KB
17225 rows
3 columns


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

Population Ages 0-14 (% Of Total)

@worldbank.gender_statistics.sp_pop_0014_to_zs

173.44 KB
17225 rows
3 columns


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

Population Ages 05-09, Female

@worldbank.gender_statistics.sp_pop_0509_fe

129.67 KB
17225 rows
3 columns


CREATE TABLE sp_pop_0509_fe (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 05-09, Male

@worldbank.gender_statistics.sp_pop_0509_ma

130.36 KB
17225 rows
3 columns


CREATE TABLE sp_pop_0509_ma (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 10-14, Female

@worldbank.gender_statistics.sp_pop_1014_fe

129.28 KB
17225 rows
3 columns


CREATE TABLE sp_pop_1014_fe (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 10-14, Male

@worldbank.gender_statistics.sp_pop_1014_ma

130.1 KB
17225 rows
3 columns


CREATE TABLE sp_pop_1014_ma (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 15-19, Female

@worldbank.gender_statistics.sp_pop_1519_fe

129 KB
17225 rows
3 columns


CREATE TABLE sp_pop_1519_fe (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 15-19, Male

@worldbank.gender_statistics.sp_pop_1519_ma

129.71 KB
17225 rows
3 columns


CREATE TABLE sp_pop_1519_ma (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 15-64, Female

@worldbank.gender_statistics.sp_pop_1564_fe_in

139.49 KB
17225 rows
3 columns


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

Population Ages 15-64, Male

@worldbank.gender_statistics.sp_pop_1564_ma_in

139.21 KB
17225 rows
3 columns


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

Population Ages 15-64, Total

@worldbank.gender_statistics.sp_pop_1564_to

142.21 KB
17225 rows
3 columns


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

Population Ages 15-64 (% Of Total)

@worldbank.gender_statistics.sp_pop_1564_to_zs

173.5 KB
17225 rows
3 columns


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

Population Ages 20-24, Female

@worldbank.gender_statistics.sp_pop_2024_fe

129.14 KB
17225 rows
3 columns


CREATE TABLE sp_pop_2024_fe (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 20-24, Male

@worldbank.gender_statistics.sp_pop_2024_ma

129.23 KB
17225 rows
3 columns


CREATE TABLE sp_pop_2024_ma (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 25-29, Female

@worldbank.gender_statistics.sp_pop_2529_fe

126.51 KB
17225 rows
3 columns


CREATE TABLE sp_pop_2529_fe (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 25-29, Male

@worldbank.gender_statistics.sp_pop_2529_ma

129.03 KB
17225 rows
3 columns


CREATE TABLE sp_pop_2529_ma (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 30-34, Female

@worldbank.gender_statistics.sp_pop_3034_fe

126.13 KB
17225 rows
3 columns


CREATE TABLE sp_pop_3034_fe (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 30-34, Male

@worldbank.gender_statistics.sp_pop_3034_ma

126.25 KB
17225 rows
3 columns


CREATE TABLE sp_pop_3034_ma (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 35-39, Female

@worldbank.gender_statistics.sp_pop_3539_fe

125.47 KB
17225 rows
3 columns


CREATE TABLE sp_pop_3539_fe (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 35-39, Male

@worldbank.gender_statistics.sp_pop_3539_ma

125.67 KB
17225 rows
3 columns


CREATE TABLE sp_pop_3539_ma (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Gender Statistics

About this Dataset