Gender Ratio
Gender Radio Dataset
@kaggle.programmerrdai_gender_ratio_inequality
Gender Radio Dataset
@kaggle.programmerrdai_gender_ratio_inequality
Inequality refers to the phenomenon of unequal and/or unjust distribution of resources and opportunities among members of a given society. The term inequality may mean different things to different people and in different contexts.
How is it defined? The Gender Inequality Index is a composite measure reflecting inequality in achievements between The GII is a composite measure, reflecting inequality in achievements between women and men in three dimensions: reproductive health, empowerment and the labour market.
@article{owidgenderratio,
author = {Hannah Ritchie and Max Roser},
title = {Gender Ratio},
journal = {Our World in Data},
year = {2019},
note = {https://ourworldindata.org/gender-ratio}
}
CREATE TABLE child_deaths_by_cause_by_sex_india (
"entity" VARCHAR,
"code" VARCHAR,
"year" BIGINT,
"male_child_death_rate_per_100_000" DOUBLE -- Male Child Death Rate (per 100,000),
"female_child_death_rate_per_100_000" DOUBLE -- Female Child Death Rate (per 100,000),
"continent" VARCHAR
);CREATE TABLE child_mortality_by_sex (
"entity" VARCHAR,
"code" VARCHAR,
"year" BIGINT,
"mortality_rate_under_5_female_per_1_000_live_births" DOUBLE -- Mortality Rate, Under-5, Female (per 1,000 Live Births),
"mortality_rate_under_5_male_per_1_000_live_births" DOUBLE -- Mortality Rate, Under-5, Male (per 1,000 Live Births),
"population_historical_estimates" DOUBLE -- Population (historical Estimates),
"continent" VARCHAR
);CREATE TABLE global_number_of_missing_women (
"entity" VARCHAR,
"code" VARCHAR,
"year" BIGINT,
"missing_females_bongaarts_guilmoto_2015" BIGINT -- Missing Females (Bongaarts \u0026 Guilmoto, 2015)
);CREATE TABLE infant_death_rates_by_cause_by_sex (
"entity" VARCHAR,
"code" VARCHAR,
"year" BIGINT,
"causes_of_death_for_infant_boys_1_year_ihme" DOUBLE -- Causes Of Death For Infant Boys (\u003c1 Year) (IHME),
"causes_of_death_for_infant_girls_1_year_ihme" DOUBLE -- Causes Of Death For Infant Girls (\u003c1 Year) (IHME)
);CREATE TABLE missing_female_births_and_excess_mortality (
"entity" VARCHAR,
"code" VARCHAR,
"year" BIGINT,
"excess_female_deaths_bongaarts_guilmoto_2015" BIGINT -- Excess Female Deaths (Bongaarts \u0026 Guilmoto, 2015),
"missing_female_births_bongaarts_guilmoto_2015" BIGINT -- Missing Female Births (Bongaarts \u0026 Guilmoto, 2015)
);CREATE TABLE sex_ratio_at_birth (
"entity" VARCHAR,
"code" VARCHAR,
"year" BIGINT,
"sex_ratio_at_birth_male_births_per_female_births" DOUBLE -- Sex Ratio At Birth (male Births Per Female Births)
);CREATE TABLE sex_ratio_at_birth_by_birth_order (
"entity" VARCHAR,
"code" VARCHAR,
"year" BIGINT,
"first_child_srb_jiang_et_al_2017_nso_korea" DOUBLE -- First Child SRB (Jiang Et Al. 2017 \u0026 NSO Korea),
"second_child_srb_jiang_et_al_2017_nso_korea" DOUBLE -- Second Child SRB (Jiang Et Al. 2017 \u0026 NSO Korea),
"third_child_srb_jiang_et_al_2017_nso_korea" DOUBLE -- Third Child SRB (Jiang Et Al. 2017 \u0026 NSO Korea),
"fourth_child_higher_srb_jiang_et_al_2017_nso_korea" DOUBLE -- Fourth Child \u0026 Higher SRB (Jiang Et Al. 2017 \u0026 NSO Korea)
);CREATE TABLE sex_ratio_at_birth_males_chao_et_al (
"entity" VARCHAR,
"code" VARCHAR,
"year" BIGINT,
"sex_ratio_at_birth_chao_et_al_2019" DOUBLE -- Sex Ratio At Birth (Chao Et Al. 2019)
);CREATE TABLE sex_ratio_at_birth_males_chao_et_al_1 (
"entity" VARCHAR,
"code" VARCHAR,
"year" BIGINT,
"sex_ratio_at_birth_chao_et_al_2019" DOUBLE -- Sex Ratio At Birth (Chao Et Al. 2019)
);CREATE TABLE sex_ratio_at_birth_vs_five_years_old (
"entity" VARCHAR,
"code" VARCHAR,
"year" BIGINT,
"sex_ratio_at_birth_male_births_per_female_births" DOUBLE -- Sex Ratio At Birth (male Births Per Female Births),
"sex_ratio_by_age_five_year_olds_unwpp_2017" DOUBLE -- Sex Ratio By Age (five-year Olds) (UNWPP, 2017),
"continent" VARCHAR
);CREATE TABLE sex_ratio_at_five_years_old (
"entity" VARCHAR,
"code" VARCHAR,
"year" BIGINT,
"sex_ratio_by_age_five_year_olds_unwpp_2017" DOUBLE -- Sex Ratio By Age (five-year Olds) (UNWPP, 2017)
);CREATE TABLE sex_ratio_by_age (
"entity" VARCHAR,
"code" VARCHAR,
"year" BIGINT,
"sex_ratio_by_age_100_year_olds_unwpp_2017" DOUBLE -- Sex Ratio By Age (100 Year Olds) (UNWPP, 2017),
"sex_ratio_by_age_15_year_olds_unwpp_2017" DOUBLE -- Sex Ratio By Age (15 Year Olds) (UNWPP, 2017),
"sex_ratio_by_age_20_year_olds_unwpp_2017" DOUBLE -- Sex Ratio By Age (20 Year Olds) (UNWPP, 2017),
"sex_ratio_by_age_30_year_olds_unwpp_2017" DOUBLE -- Sex Ratio By Age (30 Year Olds) (UNWPP, 2017),
"sex_ratio_by_age_40_year_olds_unwpp_2017" DOUBLE -- Sex Ratio By Age (40 Year Olds) (UNWPP, 2017),
"sex_ratio_by_age_50_year_olds_unwpp_2017" DOUBLE -- Sex Ratio By Age (50 Year Olds) (UNWPP, 2017),
"sex_ratio_by_age_60_year_olds_unwpp_2017" DOUBLE -- Sex Ratio By Age (60 Year Olds) (UNWPP, 2017),
"sex_ratio_by_age_70_year_olds_unwpp_2017" DOUBLE -- Sex Ratio By Age (70 Year Olds) (UNWPP, 2017),
"sex_ratio_by_age_80_year_olds_unwpp_2017" DOUBLE -- Sex Ratio By Age (80 Year Olds) (UNWPP, 2017),
"sex_ratio_by_age_90_year_olds_unwpp_2017" DOUBLE -- Sex Ratio By Age (90 Year Olds) (UNWPP, 2017)
);CREATE TABLE share_population_female (
"entity" VARCHAR,
"code" VARCHAR,
"year" BIGINT,
"population_female_of_total_population" DOUBLE -- Population, Female (% Of Total Population)
);Anyone who has the link will be able to view this.