Name: Global Height Factors
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Global Height Factors

Height is influenced by a combination of genetic, environmental, and nutritional factors on a global scale. Genetic predispositions play a significant role in determining an individual's height, as certain populations may have inherent traits that contribute to taller or shorter statures. Additionally, environmental factors such as access to healthcare, sanitation, and overall socioeconomic conditions can impact growth patterns.

Nutrition is a crucial determinant of height, especially during the formative years of childhood and adolescence. Insufficient or imbalanced nutrition can stunt growth, leading to shorter stature. Conversely, adequate nutrition supports proper development and contributes to reaching one's genetic height potential.

On a global scale, variations in average height can be observed across different regions and populations. These differences are reflective of the complex interplay between genetics, environment, and nutrition. Understanding these global height factors is essential for addressing health disparities and implementing effective strategies to promote optimal growth and well-being worldwide.

Tables

Code 1

@kaggle.willianoliveiragibin_global_height_factors.code_1

9.75 kB
59,623 rows
4 columns

CREATE TABLE code_1 (
  "code" VARCHAR,
  "code_1" VARCHAR,
  "code_2" VARCHAR,
  "code_3" VARCHAR
);

Daily Calority

@kaggle.willianoliveiragibin_global_height_factors.daily_calority

20.54 kB
12,360 rows
2 columns

CREATE TABLE daily_calority (
  "entity" VARCHAR,
  "daily_caloric_intake_per_person_that_comes_from_animal_protein" BIGINT
);

Enty 1

@kaggle.willianoliveiragibin_global_height_factors.enty_1

5 kB
59,623 rows
2 columns

CREATE TABLE enty_1 (
  "entity" VARCHAR,
  "entityconverted" BIGINT
);

Female 1

@kaggle.willianoliveiragibin_global_height_factors.female_1

10.5 kB
21,008 rows
2 columns

CREATE TABLE female_1 (
  "entity" VARCHAR,
  "mean_female_height_cm" BIGINT  -- Mean Female Height, Cm
);

Female Year

@kaggle.willianoliveiragibin_global_height_factors.female_year

5.16 kB
20,800 rows
2 columns

CREATE TABLE female_year (
  "entity" VARCHAR,
  "year_on_year_change_in_female_height" BIGINT  -- Year On Year Change In Female Height, ,
);

Male1

@kaggle.willianoliveiragibin_global_height_factors.male1

10.53 kB
21,008 rows
2 columns

CREATE TABLE male1 (
  "entity" VARCHAR,
  "mean_male_height_cm" BIGINT  -- Mean Male Height, Cm
);

Male Year

@kaggle.willianoliveiragibin_global_height_factors.male_year

5.14 kB
20,800 rows
2 columns

CREATE TABLE male_year (
  "entity" VARCHAR,
  "year_on_year_change_in_male_height" BIGINT  -- Year On Year Change In Male Height, ,
);

Popilation 1

@kaggle.willianoliveiragibin_global_height_factors.popilation_1

403.68 kB
58,252 rows
2 columns

CREATE TABLE popilation_1 (
  "entity" VARCHAR,
  "population_historical_estimates" BIGINT  -- Population, Historical Estimates
);

Year1

@kaggle.willianoliveiragibin_global_height_factors.year1

16.43 kB
59,623 rows
5 columns

CREATE TABLE year1 (
  "code" VARCHAR,
  "year" BIGINT,
  "year_1" BIGINT,
  "year_2" BIGINT,
  "year_3" BIGINT
);