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

@worldbank.health_nutrition_and_population_statistics.sp_pop_0509_ma_5y

173.63 kB
17,290 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

126.1 kB
17,290 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

173.65 kB
17,290 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

126.73 kB
17,290 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

173.64 kB
17,290 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

125.83 kB
17,290 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

173.68 kB
17,290 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

126.43 kB
17,290 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

173.69 kB
17,290 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

138.7 kB
17,290 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

173.65 kB
17,290 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

138.26 kB
17,290 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

173.72 kB
17,290 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

141.79 kB
17,290 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

173.7 kB
17,290 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

125.95 kB
17,290 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

173.73 kB
17,290 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

126.08 kB
17,290 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

173.72 kB
17,290 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

125.46 kB
17,290 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

173.69 kB
17,290 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

125.86 kB
17,290 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

173.69 kB
17,290 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

125.2 kB
17,290 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

173.76 kB
17,290 rows
3 columns

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

Health Nutrition And Population Statistics

About this Dataset