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
);

Health Nutrition And Population Statistics

About this Dataset