Population Ages 30-34, Male

@worldbank.health_nutrition_and_population_statistics.sp_pop_3034_ma

122.31 KB
17290 rows
3 columns


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

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

@worldbank.health_nutrition_and_population_statistics.sp_pop_3034_ma_5y

169.63 KB
17290 rows
3 columns


CREATE TABLE sp_pop_3034_ma_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 35-39, Female

@worldbank.health_nutrition_and_population_statistics.sp_pop_3539_fe

121.7 KB
17290 rows
3 columns


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

Population Ages 35-39, Female (% Of Female Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_3539_fe_5y

169.62 KB
17290 rows
3 columns


CREATE TABLE sp_pop_3539_fe_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 35-39, Male

@worldbank.health_nutrition_and_population_statistics.sp_pop_3539_ma

121.85 KB
17290 rows
3 columns


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

Population Ages 35-39, Male (% Of Male Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_3539_ma_5y

169.61 KB
17290 rows
3 columns


CREATE TABLE sp_pop_3539_ma_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 40-44, Female

@worldbank.health_nutrition_and_population_statistics.sp_pop_4044_fe

121.19 KB
17290 rows
3 columns


CREATE TABLE sp_pop_4044_fe (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 40-44, Female (% Of Female Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_4044_fe_5y

169.6 KB
17290 rows
3 columns


CREATE TABLE sp_pop_4044_fe_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 40-44, Male

@worldbank.health_nutrition_and_population_statistics.sp_pop_4044_ma

121.18 KB
17290 rows
3 columns


CREATE TABLE sp_pop_4044_ma (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 40-44, Male (% Of Male Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_4044_ma_5y

169.65 KB
17290 rows
3 columns


CREATE TABLE sp_pop_4044_ma_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 45-49, Female

@worldbank.health_nutrition_and_population_statistics.sp_pop_4549_fe

120 KB
17290 rows
3 columns


CREATE TABLE sp_pop_4549_fe (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 45-49, Female (% Of Female Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_4549_fe_5y

169.59 KB
17290 rows
3 columns


CREATE TABLE sp_pop_4549_fe_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 45-49, Male

@worldbank.health_nutrition_and_population_statistics.sp_pop_4549_ma

120.27 KB
17290 rows
3 columns


CREATE TABLE sp_pop_4549_ma (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 45-49, Male (% Of Male Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_4549_ma_5y

169.57 KB
17290 rows
3 columns


CREATE TABLE sp_pop_4549_ma_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 50-54, Female

@worldbank.health_nutrition_and_population_statistics.sp_pop_5054_fe

119.44 KB
17290 rows
3 columns


CREATE TABLE sp_pop_5054_fe (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 50-54, Female (% Of Female Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_5054_fe_5y

169.57 KB
17290 rows
3 columns


CREATE TABLE sp_pop_5054_fe_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 50-54, Male

@worldbank.health_nutrition_and_population_statistics.sp_pop_5054_ma

119.3 KB
17290 rows
3 columns


CREATE TABLE sp_pop_5054_ma (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 50-54, Male (% Of Male Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_5054_ma_5y

169.58 KB
17290 rows
3 columns


CREATE TABLE sp_pop_5054_ma_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 55-59, Female

@worldbank.health_nutrition_and_population_statistics.sp_pop_5559_fe

118.54 KB
17290 rows
3 columns


CREATE TABLE sp_pop_5559_fe (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 55-59, Female (% Of Female Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_5559_fe_5y

169.59 KB
17290 rows
3 columns


CREATE TABLE sp_pop_5559_fe_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 55-59, Male

@worldbank.health_nutrition_and_population_statistics.sp_pop_5559_ma

118.18 KB
17290 rows
3 columns


CREATE TABLE sp_pop_5559_ma (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 55-59, Male (% Of Male Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_5559_ma_5y

169.58 KB
17290 rows
3 columns


CREATE TABLE sp_pop_5559_ma_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 60-64, Female

@worldbank.health_nutrition_and_population_statistics.sp_pop_6064_fe

117.2 KB
17290 rows
3 columns


CREATE TABLE sp_pop_6064_fe (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 60-64, Female (% Of Female Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_6064_fe_5y

169.58 KB
17290 rows
3 columns


CREATE TABLE sp_pop_6064_fe_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 60-64, Male

@worldbank.health_nutrition_and_population_statistics.sp_pop_6064_ma

116.87 KB
17290 rows
3 columns


CREATE TABLE sp_pop_6064_ma (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Health Nutrition And Population Statistics

About this Dataset