Population Ages 30-34, Male

@worldbank.health_nutrition_and_population_statistics.sp_pop_3034_ma

125.24 kB
17,290 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

173.7 kB
17,290 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

124.62 kB
17,290 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

173.69 kB
17,290 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

124.78 kB
17,290 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

173.69 kB
17,290 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

124.1 kB
17,290 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

173.67 kB
17,290 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

124.09 kB
17,290 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

173.72 kB
17,290 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

122.88 kB
17,290 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

173.66 kB
17,290 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

123.16 kB
17,290 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

173.64 kB
17,290 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

122.3 kB
17,290 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

173.64 kB
17,290 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

122.16 kB
17,290 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

173.65 kB
17,290 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

121.39 kB
17,290 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

173.66 kB
17,290 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

121.01 kB
17,290 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

173.65 kB
17,290 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

120.02 kB
17,290 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

173.65 kB
17,290 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

119.67 kB
17,290 rows
3 columns

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

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

@worldbank.health_nutrition_and_population_statistics.sp_pop_6064_ma_5y

173.67 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_6064_ma_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 65-69, Female

@worldbank.health_nutrition_and_population_statistics.sp_pop_6569_fe

118.67 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_6569_fe (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 65-69, Female (% Of Female Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_6569_fe_5y

173.64 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_6569_fe_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 65-69, Male

@worldbank.health_nutrition_and_population_statistics.sp_pop_6569_ma

117.7 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_6569_ma (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 65-69, Male (% Of Male Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_6569_ma_5y

173.63 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_6569_ma_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 65 And Above, Female

@worldbank.health_nutrition_and_population_statistics.sp_pop_65up_fe_in

125.47 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_65up_fe_in (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 65 And Above, Female (% Of Female Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_65up_fe_zs

173.66 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_65up_fe_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 65 And Above, Male

@worldbank.health_nutrition_and_population_statistics.sp_pop_65up_ma_in

124.13 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_65up_ma_in (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 65 And Above, Male (% Of Male Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_65up_ma_zs

173.68 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_65up_ma_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 65 And Above, Total

@worldbank.health_nutrition_and_population_statistics.sp_pop_65up_to

128.44 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_65up_to (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 65 And Above (% Of Total Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_65up_to_zs

173.64 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_65up_to_zs (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 70-74, Female

@worldbank.health_nutrition_and_population_statistics.sp_pop_7074_fe

116.14 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_7074_fe (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 70-74, Female (% Of Female Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_7074_fe_5y

173.72 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_7074_fe_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 70-74, Male

@worldbank.health_nutrition_and_population_statistics.sp_pop_7074_ma

114.6 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_7074_ma (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 70-74, Male (% Of Male Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_7074_ma_5y

173.7 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_7074_ma_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 75-79, Female

@worldbank.health_nutrition_and_population_statistics.sp_pop_7579_fe

112.79 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_7579_fe (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 75-79, Female (% Of Female Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_7579_fe_5y

173.69 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_7579_fe_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 75-79, Male

@worldbank.health_nutrition_and_population_statistics.sp_pop_7579_ma

110.02 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_7579_ma (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 75-79, Male (% Of Male Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_7579_ma_5y

173.69 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_7579_ma_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 80 And Above, Female

@worldbank.health_nutrition_and_population_statistics.sp_pop_80up_fe

111.82 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_80up_fe (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 80 And Older, Female (% Of Female Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_80up_fe_5y

173.62 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_80up_fe_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 80 And Above, Male

@worldbank.health_nutrition_and_population_statistics.sp_pop_80up_ma

106.93 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_80up_ma (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Population Ages 80 And Above, Male (% Of Male Population)

@worldbank.health_nutrition_and_population_statistics.sp_pop_80up_ma_5y

173.66 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_80up_ma_5y (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Age Population, Age 00, Female

@worldbank.health_nutrition_and_population_statistics.sp_pop_ag00_fe_in

101.27 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_ag00_fe_in (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Age Population, Age 00, Male

@worldbank.health_nutrition_and_population_statistics.sp_pop_ag00_ma_in

101.65 kB
17,290 rows
3 columns

CREATE TABLE sp_pop_ag00_ma_in (
  "economy" VARCHAR,
  "year" BIGINT,
  "value" DOUBLE
);

Tables