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Global Nutrition Adult And Adolescent Dataset

State of Adult and Adolescent Nutrition

@kaggle.amohankumar_global_nutrition_adult_and_adolescent_dataset

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About this Dataset

Global Nutrition Adult And Adolescent Dataset

This 2021 Global Nutrition Report dataset contains information on adult and adolescent nutrition, economics and demography, in the nutrition sector.
It contains geographic information, indicator data and a number of other fields.
The field 'disaggregation' indicates the type of disaggregation available (e.g. gender). The field 'disagg.value' specifies the component of that type of disaggregation (e.g. male or female). The 'value.type' field details which regional and world data values are based on weighted means, which are sums and which are modelled estimates.

Tables

Country Adolescent

@kaggle.amohankumar_global_nutrition_adult_and_adolescent_dataset.country_adolescent
  • 167.88 kB
  • 762 rows
  • 61 columns
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CREATE TABLE country_adolescent (
  "iso3" VARCHAR,
  "country" VARCHAR,
  "disaggregation" VARCHAR,
  "disagg_value" VARCHAR,
  "region" VARCHAR,
  "subregion" VARCHAR,
  "section" VARCHAR,
  "adolescent_obesity_2000" DOUBLE,
  "adolescent_obesity_2001" DOUBLE,
  "adolescent_obesity_2002" DOUBLE,
  "adolescent_obesity_2003" DOUBLE,
  "adolescent_obesity_2004" DOUBLE,
  "adolescent_obesity_2005" DOUBLE,
  "adolescent_obesity_2006" DOUBLE,
  "adolescent_obesity_2007" DOUBLE,
  "adolescent_obesity_2008" DOUBLE,
  "adolescent_obesity_2009" DOUBLE,
  "adolescent_obesity_2010" DOUBLE,
  "adolescent_obesity_2011" DOUBLE,
  "adolescent_obesity_2012" DOUBLE,
  "adolescent_obesity_2013" DOUBLE,
  "adolescent_obesity_2014" DOUBLE,
  "adolescent_obesity_2015" DOUBLE,
  "adolescent_obesity_2016" DOUBLE,
  "adolescent_obesity_2019" DOUBLE,
  "adolescent_overweight_2000" DOUBLE,
  "adolescent_overweight_2001" DOUBLE,
  "adolescent_overweight_2002" DOUBLE,
  "adolescent_overweight_2003" DOUBLE,
  "adolescent_overweight_2004" DOUBLE,
  "adolescent_overweight_2005" DOUBLE,
  "adolescent_overweight_2006" DOUBLE,
  "adolescent_overweight_2007" DOUBLE,
  "adolescent_overweight_2008" DOUBLE,
  "adolescent_overweight_2009" DOUBLE,
  "adolescent_overweight_2010" DOUBLE,
  "adolescent_overweight_2011" DOUBLE,
  "adolescent_overweight_2012" DOUBLE,
  "adolescent_overweight_2013" DOUBLE,
  "adolescent_overweight_2014" DOUBLE,
  "adolescent_overweight_2015" DOUBLE,
  "adolescent_overweight_2016" DOUBLE,
  "adolescent_overweight_2019" DOUBLE,
  "adolescent_thinness_2000" DOUBLE,
  "adolescent_thinness_2001" DOUBLE,
  "adolescent_thinness_2002" DOUBLE,
  "adolescent_thinness_2003" DOUBLE,
  "adolescent_thinness_2004" DOUBLE,
  "adolescent_thinness_2005" DOUBLE,
  "adolescent_thinness_2006" DOUBLE,
  "adolescent_thinness_2007" DOUBLE,
  "adolescent_thinness_2008" DOUBLE,
  "adolescent_thinness_2009" DOUBLE,
  "adolescent_thinness_2010" DOUBLE,
  "adolescent_thinness_2011" DOUBLE,
  "adolescent_thinness_2012" DOUBLE,
  "adolescent_thinness_2013" DOUBLE,
  "adolescent_thinness_2014" DOUBLE,
  "adolescent_thinness_2015" DOUBLE,
  "adolescent_thinness_2016" DOUBLE,
  "adolescent_thinness_2019" DOUBLE
);

Country Adult

@kaggle.amohankumar_global_nutrition_adult_and_adolescent_dataset.country_adult
  • 459.87 kB
  • 4,268 rows
  • 128 columns
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CREATE TABLE country_adult (
  "iso3" VARCHAR,
  "country" VARCHAR,
  "disaggregation" VARCHAR,
  "disagg_value" VARCHAR,
  "region" VARCHAR,
  "subregion" VARCHAR,
  "section" VARCHAR,
  "adult_obesity_2000" DOUBLE,
  "adult_obesity_2001" DOUBLE,
  "adult_obesity_2002" DOUBLE,
  "adult_obesity_2003" DOUBLE,
  "adult_obesity_2004" DOUBLE,
  "adult_obesity_2005" DOUBLE,
  "adult_obesity_2006" DOUBLE,
  "adult_obesity_2007" DOUBLE,
  "adult_obesity_2008" DOUBLE,
  "adult_obesity_2009" DOUBLE,
  "adult_obesity_2010" DOUBLE,
  "adult_obesity_2011" DOUBLE,
  "adult_obesity_2012" DOUBLE,
  "adult_obesity_2013" DOUBLE,
  "adult_obesity_2014" DOUBLE,
  "adult_obesity_2015" DOUBLE,
  "adult_obesity_2016" DOUBLE,
  "adult_obesity_2019" DOUBLE,
  "adult_overweight_2000" DOUBLE,
  "adult_overweight_2001" DOUBLE,
  "adult_overweight_2002" DOUBLE,
  "adult_overweight_2003" DOUBLE,
  "adult_overweight_2004" DOUBLE,
  "adult_overweight_2005" DOUBLE,
  "adult_overweight_2006" DOUBLE,
  "adult_overweight_2007" DOUBLE,
  "adult_overweight_2008" DOUBLE,
  "adult_overweight_2009" DOUBLE,
  "adult_overweight_2010" DOUBLE,
  "adult_overweight_2011" DOUBLE,
  "adult_overweight_2012" DOUBLE,
  "adult_overweight_2013" DOUBLE,
  "adult_overweight_2014" DOUBLE,
  "adult_overweight_2015" DOUBLE,
  "adult_overweight_2016" DOUBLE,
  "adult_overweight_2019" DOUBLE,
  "adult_underweight_2000" DOUBLE,
  "adult_underweight_2001" DOUBLE,
  "adult_underweight_2002" DOUBLE,
  "adult_underweight_2003" DOUBLE,
  "adult_underweight_2004" DOUBLE,
  "adult_underweight_2005" DOUBLE,
  "adult_underweight_2006" DOUBLE,
  "adult_underweight_2007" DOUBLE,
  "adult_underweight_2008" DOUBLE,
  "adult_underweight_2009" DOUBLE,
  "adult_underweight_2010" DOUBLE,
  "adult_underweight_2011" DOUBLE,
  "adult_underweight_2012" DOUBLE,
  "adult_underweight_2013" DOUBLE,
  "adult_underweight_2014" DOUBLE,
  "adult_underweight_2015" DOUBLE,
  "adult_underweight_2016" DOUBLE,
  "adult_underweight_2019" DOUBLE,
  "adult_anaemia_2000" DOUBLE,
  "adult_anaemia_2001" DOUBLE,
  "adult_anaemia_2002" DOUBLE,
  "adult_anaemia_2003" DOUBLE,
  "adult_anaemia_2004" DOUBLE,
  "adult_anaemia_2005" DOUBLE,
  "adult_anaemia_2006" DOUBLE,
  "adult_anaemia_2007" DOUBLE,
  "adult_anaemia_2008" DOUBLE,
  "adult_anaemia_2009" DOUBLE,
  "adult_anaemia_2010" DOUBLE,
  "adult_anaemia_2011" DOUBLE,
  "adult_anaemia_2012" DOUBLE,
  "adult_anaemia_2013" DOUBLE,
  "adult_anaemia_2014" DOUBLE,
  "adult_anaemia_2015" DOUBLE,
  "adult_anaemia_2016" DOUBLE,
  "adult_anaemia_2017" DOUBLE,
  "adult_anaemia_2018" DOUBLE,
  "adult_anaemia_2019" DOUBLE,
  "adult_blood_pressure_2000" DOUBLE,
  "adult_blood_pressure_2001" DOUBLE,
  "adult_blood_pressure_2002" DOUBLE,
  "adult_blood_pressure_2003" DOUBLE,
  "adult_blood_pressure_2004" DOUBLE,
  "adult_blood_pressure_2005" DOUBLE,
  "adult_blood_pressure_2006" DOUBLE,
  "adult_blood_pressure_2007" DOUBLE,
  "adult_blood_pressure_2008" DOUBLE,
  "adult_blood_pressure_2009" DOUBLE,
  "adult_blood_pressure_2010" DOUBLE,
  "adult_blood_pressure_2011" DOUBLE,
  "adult_blood_pressure_2012" DOUBLE,
  "adult_blood_pressure_2013" DOUBLE,
  "adult_blood_pressure_2014" DOUBLE,
  "adult_blood_pressure_2015" DOUBLE,
  "adult_blood_pressure_2019" DOUBLE,
  "adult_diabetes_2000" DOUBLE,
  "adult_diabetes_2001" DOUBLE
);

Country Determinants

@kaggle.amohankumar_global_nutrition_adult_and_adolescent_dataset.country_determinants
  • 483.71 kB
  • 194 rows
  • 320 columns
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CREATE TABLE country_determinants (
  "iso3" VARCHAR,
  "country" VARCHAR,
  "disaggregation" VARCHAR,
  "disagg_value" VARCHAR,
  "region" VARCHAR,
  "subregion" VARCHAR,
  "section" VARCHAR,
  "surface_water_2000" DOUBLE,
  "surface_water_2001" DOUBLE,
  "surface_water_2002" DOUBLE,
  "surface_water_2003" DOUBLE,
  "surface_water_2004" DOUBLE,
  "surface_water_2005" DOUBLE,
  "surface_water_2006" DOUBLE,
  "surface_water_2007" DOUBLE,
  "surface_water_2008" DOUBLE,
  "surface_water_2009" DOUBLE,
  "surface_water_2010" DOUBLE,
  "surface_water_2011" DOUBLE,
  "surface_water_2012" DOUBLE,
  "surface_water_2013" DOUBLE,
  "surface_water_2014" DOUBLE,
  "surface_water_2015" DOUBLE,
  "surface_water_2016" DOUBLE,
  "surface_water_2017" DOUBLE,
  "surface_water_2018" DOUBLE,
  "surface_water_2019" DOUBLE,
  "surface_water_2020" DOUBLE,
  "unimproved_water_2000" DOUBLE,
  "unimproved_water_2001" DOUBLE,
  "unimproved_water_2002" DOUBLE,
  "unimproved_water_2003" DOUBLE,
  "unimproved_water_2004" DOUBLE,
  "unimproved_water_2005" DOUBLE,
  "unimproved_water_2006" DOUBLE,
  "unimproved_water_2007" DOUBLE,
  "unimproved_water_2008" DOUBLE,
  "unimproved_water_2009" DOUBLE,
  "unimproved_water_2010" DOUBLE,
  "unimproved_water_2011" DOUBLE,
  "unimproved_water_2012" DOUBLE,
  "unimproved_water_2013" DOUBLE,
  "unimproved_water_2014" DOUBLE,
  "unimproved_water_2015" DOUBLE,
  "unimproved_water_2016" DOUBLE,
  "unimproved_water_2017" DOUBLE,
  "unimproved_water_2018" DOUBLE,
  "unimproved_water_2019" DOUBLE,
  "unimproved_water_2020" DOUBLE,
  "limited_water_2000" DOUBLE,
  "limited_water_2001" DOUBLE,
  "limited_water_2002" DOUBLE,
  "limited_water_2003" DOUBLE,
  "limited_water_2004" DOUBLE,
  "limited_water_2005" DOUBLE,
  "limited_water_2006" DOUBLE,
  "limited_water_2007" DOUBLE,
  "limited_water_2008" DOUBLE,
  "limited_water_2009" DOUBLE,
  "limited_water_2010" DOUBLE,
  "limited_water_2011" DOUBLE,
  "limited_water_2012" DOUBLE,
  "limited_water_2013" DOUBLE,
  "limited_water_2014" DOUBLE,
  "limited_water_2015" DOUBLE,
  "limited_water_2016" DOUBLE,
  "limited_water_2017" DOUBLE,
  "limited_water_2018" DOUBLE,
  "limited_water_2019" DOUBLE,
  "limited_water_2020" DOUBLE,
  "basic_water_2000" DOUBLE,
  "basic_water_2001" DOUBLE,
  "basic_water_2002" DOUBLE,
  "basic_water_2003" DOUBLE,
  "basic_water_2004" DOUBLE,
  "basic_water_2005" DOUBLE,
  "basic_water_2006" DOUBLE,
  "basic_water_2007" DOUBLE,
  "basic_water_2008" DOUBLE,
  "basic_water_2009" DOUBLE,
  "basic_water_2010" DOUBLE,
  "basic_water_2011" DOUBLE,
  "basic_water_2012" DOUBLE,
  "basic_water_2013" DOUBLE,
  "basic_water_2014" DOUBLE,
  "basic_water_2015" DOUBLE,
  "basic_water_2016" DOUBLE,
  "basic_water_2017" DOUBLE,
  "basic_water_2018" DOUBLE,
  "basic_water_2019" DOUBLE,
  "basic_water_2020" DOUBLE,
  "safely_managed_water_2000" DOUBLE,
  "safely_managed_water_2001" DOUBLE,
  "safely_managed_water_2002" DOUBLE,
  "safely_managed_water_2003" DOUBLE,
  "safely_managed_water_2004" DOUBLE,
  "safely_managed_water_2005" DOUBLE,
  "safely_managed_water_2006" DOUBLE,
  "safely_managed_water_2007" DOUBLE,
  "safely_managed_water_2008" DOUBLE
);

Country Dietary Needs

@kaggle.amohankumar_global_nutrition_adult_and_adolescent_dataset.country_dietary_needs
  • 21.94 kB
  • 193 rows
  • 15 columns
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CREATE TABLE country_dietary_needs (
  "iso3" VARCHAR,
  "country" VARCHAR,
  "region" VARCHAR,
  "subregion" VARCHAR,
  "disaggregation" VARCHAR,
  "disagg_value" VARCHAR,
  "section" VARCHAR,
  "fruit" DOUBLE,
  "vegetables" DOUBLE,
  "legumes" DOUBLE,
  "nuts" DOUBLE,
  "whole_grains" DOUBLE,
  "fish" DOUBLE,
  "dairy" DOUBLE,
  "red_meat" DOUBLE
);

Country Intervention

@kaggle.amohankumar_global_nutrition_adult_and_adolescent_dataset.country_intervention
  • 130.89 kB
  • 1,793 rows
  • 97 columns
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CREATE TABLE country_intervention (
  "iso3" VARCHAR,
  "country" VARCHAR,
  "disaggregation" VARCHAR,
  "disagg_value" VARCHAR,
  "region" VARCHAR,
  "subregion" VARCHAR,
  "section" VARCHAR,
  "diarrhea_zinc_2005" DOUBLE,
  "diarrhea_zinc_2006" DOUBLE,
  "diarrhea_zinc_2007" DOUBLE,
  "diarrhea_zinc_2008" DOUBLE,
  "diarrhea_zinc_2009" DOUBLE,
  "diarrhea_zinc_2010" DOUBLE,
  "diarrhea_zinc_2011" DOUBLE,
  "diarrhea_zinc_2012" DOUBLE,
  "diarrhea_zinc_2013" DOUBLE,
  "diarrhea_zinc_2014" DOUBLE,
  "diarrhea_zinc_2015" DOUBLE,
  "diarrhea_zinc_2016" DOUBLE,
  "diarrhea_zinc_2017" DOUBLE,
  "diarrhea_zinc_2018" DOUBLE,
  "diarrhea_zinc_2019" DOUBLE,
  "diarrhea_zinc_2020" DOUBLE,
  "vit_a_2000" VARCHAR,
  "vit_a_2001" VARCHAR,
  "vit_a_2002" VARCHAR,
  "vit_a_2003" VARCHAR,
  "vit_a_2004" VARCHAR,
  "vit_a_2005" VARCHAR,
  "vit_a_2006" VARCHAR,
  "vit_a_2007" VARCHAR,
  "vit_a_2008" VARCHAR,
  "vit_a_2009" VARCHAR,
  "vit_a_2010" VARCHAR,
  "vit_a_2011" VARCHAR,
  "vit_a_2012" VARCHAR,
  "vit_a_2013" VARCHAR,
  "vit_a_2014" VARCHAR,
  "vit_a_2015" VARCHAR,
  "vit_a_2016" VARCHAR,
  "vit_a_2017" VARCHAR,
  "vit_a_2018" VARCHAR,
  "iron_supp_2004" DOUBLE,
  "iron_supp_2005" DOUBLE,
  "iron_supp_2006" DOUBLE,
  "iron_supp_2007" DOUBLE,
  "iron_supp_2008" DOUBLE,
  "iron_supp_2009" DOUBLE,
  "iron_supp_2010" DOUBLE,
  "iron_supp_2011" DOUBLE,
  "iron_supp_2012" DOUBLE,
  "iron_supp_2013" DOUBLE,
  "iron_supp_2014" DOUBLE,
  "iron_supp_2015" DOUBLE,
  "iron_supp_2016" DOUBLE,
  "iron_supp_2017" DOUBLE,
  "iron_supp_2018" DOUBLE,
  "iron_supp_2019" DOUBLE,
  "iron_tablets_2000" DOUBLE,
  "iron_tablets_2001" DOUBLE,
  "iron_tablets_2002" DOUBLE,
  "iron_tablets_2003" DOUBLE,
  "iron_tablets_2004" DOUBLE,
  "iron_tablets_2005" DOUBLE,
  "iron_tablets_2006" DOUBLE,
  "iron_tablets_2007" DOUBLE,
  "iron_tablets_2008" DOUBLE,
  "iron_tablets_2009" DOUBLE,
  "iron_tablets_2010" DOUBLE,
  "iron_tablets_2011" DOUBLE,
  "iron_tablets_2012" DOUBLE,
  "iron_tablets_2013" DOUBLE,
  "iron_tablets_2014" DOUBLE,
  "iron_tablets_2015" DOUBLE,
  "iron_tablets_2016" DOUBLE,
  "iron_tablets_2017" DOUBLE,
  "iron_tablets_2018" DOUBLE,
  "iron_tablets_2019" DOUBLE,
  "iodised_salt_2000" DOUBLE,
  "iodised_salt_2001" DOUBLE,
  "iodised_salt_2002" DOUBLE,
  "iodised_salt_2003" DOUBLE,
  "iodised_salt_2004" DOUBLE,
  "iodised_salt_2005" DOUBLE,
  "iodised_salt_2006" DOUBLE,
  "iodised_salt_2007" DOUBLE,
  "iodised_salt_2008" DOUBLE,
  "iodised_salt_2009" DOUBLE,
  "iodised_salt_2010" DOUBLE,
  "iodised_salt_2011" DOUBLE,
  "iodised_salt_2012" DOUBLE,
  "iodised_salt_2013" DOUBLE,
  "iodised_salt_2014" DOUBLE,
  "iodised_salt_2015" DOUBLE,
  "iodised_salt_2016" DOUBLE,
  "iodised_salt_2017" DOUBLE,
  "iodised_salt_2018" DOUBLE
);

Region Adolescent

@kaggle.amohankumar_global_nutrition_adult_and_adolescent_dataset.region_adolescent
  • 68.28 kB
  • 116 rows
  • 58 columns
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CREATE TABLE region_adolescent (
  "region" VARCHAR,
  "disaggregation" VARCHAR,
  "disagg_value" VARCHAR,
  "section" VARCHAR,
  "adolescent_obesity_2000" DOUBLE,
  "adolescent_obesity_2001" DOUBLE,
  "adolescent_obesity_2002" DOUBLE,
  "adolescent_obesity_2003" DOUBLE,
  "adolescent_obesity_2004" DOUBLE,
  "adolescent_obesity_2005" DOUBLE,
  "adolescent_obesity_2006" DOUBLE,
  "adolescent_obesity_2007" DOUBLE,
  "adolescent_obesity_2008" DOUBLE,
  "adolescent_obesity_2009" DOUBLE,
  "adolescent_obesity_2010" DOUBLE,
  "adolescent_obesity_2011" DOUBLE,
  "adolescent_obesity_2012" DOUBLE,
  "adolescent_obesity_2013" DOUBLE,
  "adolescent_obesity_2014" DOUBLE,
  "adolescent_obesity_2015" DOUBLE,
  "adolescent_obesity_2016" DOUBLE,
  "adolescent_obesity_2019" DOUBLE,
  "adolescent_overweight_2000" DOUBLE,
  "adolescent_overweight_2001" DOUBLE,
  "adolescent_overweight_2002" DOUBLE,
  "adolescent_overweight_2003" DOUBLE,
  "adolescent_overweight_2004" DOUBLE,
  "adolescent_overweight_2005" DOUBLE,
  "adolescent_overweight_2006" DOUBLE,
  "adolescent_overweight_2007" DOUBLE,
  "adolescent_overweight_2008" DOUBLE,
  "adolescent_overweight_2009" DOUBLE,
  "adolescent_overweight_2010" DOUBLE,
  "adolescent_overweight_2011" DOUBLE,
  "adolescent_overweight_2012" DOUBLE,
  "adolescent_overweight_2013" DOUBLE,
  "adolescent_overweight_2014" DOUBLE,
  "adolescent_overweight_2015" DOUBLE,
  "adolescent_overweight_2016" DOUBLE,
  "adolescent_overweight_2019" DOUBLE,
  "adolescent_thinness_2000" DOUBLE,
  "adolescent_thinness_2001" DOUBLE,
  "adolescent_thinness_2002" DOUBLE,
  "adolescent_thinness_2003" DOUBLE,
  "adolescent_thinness_2004" DOUBLE,
  "adolescent_thinness_2005" DOUBLE,
  "adolescent_thinness_2006" DOUBLE,
  "adolescent_thinness_2007" DOUBLE,
  "adolescent_thinness_2008" DOUBLE,
  "adolescent_thinness_2009" DOUBLE,
  "adolescent_thinness_2010" DOUBLE,
  "adolescent_thinness_2011" DOUBLE,
  "adolescent_thinness_2012" DOUBLE,
  "adolescent_thinness_2013" DOUBLE,
  "adolescent_thinness_2014" DOUBLE,
  "adolescent_thinness_2015" DOUBLE,
  "adolescent_thinness_2016" DOUBLE,
  "adolescent_thinness_2019" DOUBLE
);

Region Adult

@kaggle.amohankumar_global_nutrition_adult_and_adolescent_dataset.region_adult
  • 160.11 kB
  • 427 rows
  • 125 columns
Loading... 
CREATE TABLE region_adult (
  "region" VARCHAR,
  "disaggregation" VARCHAR,
  "disagg_value" VARCHAR,
  "section" VARCHAR,
  "adult_obesity_2000" DOUBLE,
  "adult_obesity_2001" DOUBLE,
  "adult_obesity_2002" DOUBLE,
  "adult_obesity_2003" DOUBLE,
  "adult_obesity_2004" DOUBLE,
  "adult_obesity_2005" DOUBLE,
  "adult_obesity_2006" DOUBLE,
  "adult_obesity_2007" DOUBLE,
  "adult_obesity_2008" DOUBLE,
  "adult_obesity_2009" DOUBLE,
  "adult_obesity_2010" DOUBLE,
  "adult_obesity_2011" DOUBLE,
  "adult_obesity_2012" DOUBLE,
  "adult_obesity_2013" DOUBLE,
  "adult_obesity_2014" DOUBLE,
  "adult_obesity_2015" DOUBLE,
  "adult_obesity_2016" DOUBLE,
  "adult_obesity_2019" DOUBLE,
  "adult_overweight_2000" DOUBLE,
  "adult_overweight_2001" DOUBLE,
  "adult_overweight_2002" DOUBLE,
  "adult_overweight_2003" DOUBLE,
  "adult_overweight_2004" DOUBLE,
  "adult_overweight_2005" DOUBLE,
  "adult_overweight_2006" DOUBLE,
  "adult_overweight_2007" DOUBLE,
  "adult_overweight_2008" DOUBLE,
  "adult_overweight_2009" DOUBLE,
  "adult_overweight_2010" DOUBLE,
  "adult_overweight_2011" DOUBLE,
  "adult_overweight_2012" DOUBLE,
  "adult_overweight_2013" DOUBLE,
  "adult_overweight_2014" DOUBLE,
  "adult_overweight_2015" DOUBLE,
  "adult_overweight_2016" DOUBLE,
  "adult_overweight_2019" DOUBLE,
  "adult_underweight_2000" DOUBLE,
  "adult_underweight_2001" DOUBLE,
  "adult_underweight_2002" DOUBLE,
  "adult_underweight_2003" DOUBLE,
  "adult_underweight_2004" DOUBLE,
  "adult_underweight_2005" DOUBLE,
  "adult_underweight_2006" DOUBLE,
  "adult_underweight_2007" DOUBLE,
  "adult_underweight_2008" DOUBLE,
  "adult_underweight_2009" DOUBLE,
  "adult_underweight_2010" DOUBLE,
  "adult_underweight_2011" DOUBLE,
  "adult_underweight_2012" DOUBLE,
  "adult_underweight_2013" DOUBLE,
  "adult_underweight_2014" DOUBLE,
  "adult_underweight_2015" DOUBLE,
  "adult_underweight_2016" DOUBLE,
  "adult_underweight_2019" DOUBLE,
  "adult_anaemia_2000" DOUBLE,
  "adult_anaemia_2001" DOUBLE,
  "adult_anaemia_2002" DOUBLE,
  "adult_anaemia_2003" DOUBLE,
  "adult_anaemia_2004" DOUBLE,
  "adult_anaemia_2005" DOUBLE,
  "adult_anaemia_2006" DOUBLE,
  "adult_anaemia_2007" DOUBLE,
  "adult_anaemia_2008" DOUBLE,
  "adult_anaemia_2009" DOUBLE,
  "adult_anaemia_2010" DOUBLE,
  "adult_anaemia_2011" DOUBLE,
  "adult_anaemia_2012" DOUBLE,
  "adult_anaemia_2013" DOUBLE,
  "adult_anaemia_2014" DOUBLE,
  "adult_anaemia_2015" DOUBLE,
  "adult_anaemia_2016" DOUBLE,
  "adult_anaemia_2017" DOUBLE,
  "adult_anaemia_2018" DOUBLE,
  "adult_anaemia_2019" DOUBLE,
  "adult_blood_pressure_2000" DOUBLE,
  "adult_blood_pressure_2001" DOUBLE,
  "adult_blood_pressure_2002" DOUBLE,
  "adult_blood_pressure_2003" DOUBLE,
  "adult_blood_pressure_2004" DOUBLE,
  "adult_blood_pressure_2005" DOUBLE,
  "adult_blood_pressure_2006" DOUBLE,
  "adult_blood_pressure_2007" DOUBLE,
  "adult_blood_pressure_2008" DOUBLE,
  "adult_blood_pressure_2009" DOUBLE,
  "adult_blood_pressure_2010" DOUBLE,
  "adult_blood_pressure_2011" DOUBLE,
  "adult_blood_pressure_2012" DOUBLE,
  "adult_blood_pressure_2013" DOUBLE,
  "adult_blood_pressure_2014" DOUBLE,
  "adult_blood_pressure_2015" DOUBLE,
  "adult_blood_pressure_2019" DOUBLE,
  "adult_diabetes_2000" DOUBLE,
  "adult_diabetes_2001" DOUBLE,
  "adult_diabetes_2002" DOUBLE,
  "adult_diabetes_2003" DOUBLE,
  "adult_diabetes_2004" DOUBLE
);

Region Dietary Needs

@kaggle.amohankumar_global_nutrition_adult_and_adolescent_dataset.region_dietary_needs
  • 10.13 kB
  • 30 rows
  • 12 columns
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CREATE TABLE region_dietary_needs (
  "region" VARCHAR,
  "disaggregation" VARCHAR,
  "disagg_value" VARCHAR,
  "section" VARCHAR,
  "fruit" DOUBLE,
  "vegetables" DOUBLE,
  "legumes" DOUBLE,
  "nuts" DOUBLE,
  "wholegrains" DOUBLE,
  "fish" DOUBLE,
  "dairy" DOUBLE,
  "red_meat" DOUBLE
);

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