Population Ages 05-09, Male (% Of Male Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_0509_ma_5y

169.56 KB
17290 rows
3 columns


CREATE TABLE sp_pop_0509_ma_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 10-14, Female

@worldbank.health_nutrition_and_population_statistics.sp_pop_1014_fe

123.15 KB
17290 rows
3 columns


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

Population Ages 10-14, Female (% Of Female Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_1014_fe_5y

169.58 KB
17290 rows
3 columns


CREATE TABLE sp_pop_1014_fe_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 10-14, Male

@worldbank.health_nutrition_and_population_statistics.sp_pop_1014_ma

123.76 KB
17290 rows
3 columns


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

Population Ages 10-14, Male (% Of Male Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_1014_ma_5y

169.57 KB
17290 rows
3 columns


CREATE TABLE sp_pop_1014_ma_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 15-19, Female

@worldbank.health_nutrition_and_population_statistics.sp_pop_1519_fe

122.88 KB
17290 rows
3 columns


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

Population Ages 15-19, Female (% Of Female Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_1519_fe_5y

169.61 KB
17290 rows
3 columns


CREATE TABLE sp_pop_1519_fe_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 15-19, Male

@worldbank.health_nutrition_and_population_statistics.sp_pop_1519_ma

123.46 KB
17290 rows
3 columns


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

Population Ages 15-19, Male (% Of Male Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_1519_ma_5y

169.61 KB
17290 rows
3 columns


CREATE TABLE sp_pop_1519_ma_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 15-64, Female

@worldbank.health_nutrition_and_population_statistics.sp_pop_1564_fe_in

135.45 KB
17290 rows
3 columns


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

Population Ages 15-64, Female (% Of Female Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_1564_fe_zs

169.58 KB
17290 rows
3 columns


CREATE TABLE sp_pop_1564_fe_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 15-64, Male

@worldbank.health_nutrition_and_population_statistics.sp_pop_1564_ma_in

135.02 KB
17290 rows
3 columns


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

Population Ages 15-64, Male (% Of Male Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_1564_ma_zs

169.65 KB
17290 rows
3 columns


CREATE TABLE sp_pop_1564_ma_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 15-64, Total

@worldbank.health_nutrition_and_population_statistics.sp_pop_1564_to

138.46 KB
17290 rows
3 columns


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

Population Ages 15-64 (% Of Total Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_1564_to_zs

169.63 KB
17290 rows
3 columns


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

Population Ages 20-24, Female

@worldbank.health_nutrition_and_population_statistics.sp_pop_2024_fe

123 KB
17290 rows
3 columns


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

Population Ages 20-24, Female (% Of Female Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_2024_fe_5y

169.66 KB
17290 rows
3 columns


CREATE TABLE sp_pop_2024_fe_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 20-24, Male

@worldbank.health_nutrition_and_population_statistics.sp_pop_2024_ma

123.12 KB
17290 rows
3 columns


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

Population Ages 20-24, Male (% Of Male Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_2024_ma_5y

169.65 KB
17290 rows
3 columns


CREATE TABLE sp_pop_2024_ma_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 25-29, Female

@worldbank.health_nutrition_and_population_statistics.sp_pop_2529_fe

122.52 KB
17290 rows
3 columns


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

Population Ages 25-29, Female (% Of Female Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_2529_fe_5y

169.62 KB
17290 rows
3 columns


CREATE TABLE sp_pop_2529_fe_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 25-29, Male

@worldbank.health_nutrition_and_population_statistics.sp_pop_2529_ma

122.91 KB
17290 rows
3 columns


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

Population Ages 25-29, Male (% Of Male Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_2529_ma_5y

169.62 KB
17290 rows
3 columns


CREATE TABLE sp_pop_2529_ma_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 30-34, Female

@worldbank.health_nutrition_and_population_statistics.sp_pop_3034_fe

122.27 KB
17290 rows
3 columns


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

Population Ages 30-34, Female (% Of Female Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_3034_fe_5y

169.68 KB
17290 rows
3 columns


CREATE TABLE sp_pop_3034_fe_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Health Nutrition And Population Statistics

About this Dataset