Name: Child And Infant Mortality
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Child And Infant Mortality

One in every 100 children dies before completing one year of life. Around 68 percent of infant mortality is attributed to deaths of children before completing 1 month.
15,000 children die every day – Child mortality is an everyday tragedy of enormous scale that rarely makes the headlines
Child mortality rates have declined in all world regions, but the world is not on track to reach the Sustainable Development Goal for child mortality
Before the Modern Revolution child mortality was very high in all societies that we have knowledge of – a quarter of all children died in the first year of life, almost half died before reaching the end of puberty
Over the last two centuries all countries in the world have made very rapid progress against child mortality. From 1800 to 1950 global mortality has halved from around 43% to 22.5%. Since 1950 the mortality rate has declined five-fold to 4.5% in 2015. All countries in the world have benefitted from this progress
In the past it was very common for parents to see children die, because both, child mortality rates and fertility rates were very high. In Europe in the mid 18th century parents lost on average between 3 and 4 of their children
Based on this overview we are asking where the world is today – where are children dying and what are they dying from?

5.4 million children died in 2017 – Where did these children die?
Pneumonia is the most common cause of death, preterm births and neonatal disorders is second, and diarrheal diseases are third – What are children today dying from?
This is the basis for answering the question what can we do to make further progress against child mortality? We will extend this entry over the course of 2020.

@article{owidchildmortality,
author = {Max Roser, Hannah Ritchie and Bernadeta Dadonaite},
title = {Child and Infant Mortality},
journal = {Our World in Data},
year = {2013},
note = {https://ourworldindata.org/child-mortality}
}

Tables

Causes Of Death In Children

@kaggle.programmerrdai_child_and_infant_mortality.causes_of_death_in_children

322.5 kB
6,840 rows
20 columns

CREATE TABLE causes_of_death_in_children (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "deaths_malaria_sex_both_age_under_5_number" BIGINT  -- Deaths - Malaria - Sex: Both - Age: Under 5 (Number),
  "deaths_hiv_aids_sex_both_age_under_5_number" BIGINT  -- Deaths - HIV/AIDS - Sex: Both - Age: Under 5 (Number),
  "deaths_meningitis_sex_both_age_under_5_number" BIGINT  -- Deaths - Meningitis - Sex: Both - Age: Under 5 (Number),
  "deaths_nutritional_deficiencies_sex_both_age_under_5_number" BIGINT  -- Deaths - Nutritional Deficiencies - Sex: Both - Age: Under 5 (Number),
  "deaths_other_neonatal_disorders_sex_both_age_under_5_number" BIGINT  -- Deaths - Other Neonatal Disorders - Sex: Both - Age: Under 5 (Number),
  "deaths_whooping_cough_sex_both_age_under_5_number" BIGINT  -- Deaths - Whooping Cough - Sex: Both - Age: Under 5 (Number),
  "deaths_lower_respiratory_infections_sex_both_age_under_3846a113" BIGINT  -- Deaths - Lower Respiratory Infections - Sex: Both - Age: Under 5 (Number),
  "deaths_congenital_birth_defects_sex_both_age_under_5_number" BIGINT  -- Deaths - Congenital Birth Defects - Sex: Both - Age: Under 5 (Number),
  "deaths_measles_sex_both_age_under_5_number" BIGINT  -- Deaths - Measles - Sex: Both - Age: Under 5 (Number),
  "deaths_neonatal_sepsis_and_other_neonatal_infections_s_ee817b06" BIGINT  -- Deaths - Neonatal Sepsis And Other Neonatal Infections - Sex: Both - Age: Under 5 (Number),
  "deaths_neonatal_encephalopathy_due_to_birth_asphyxia_a_880ee883" BIGINT  -- Deaths - Neonatal Encephalopathy Due To Birth Asphyxia And Trauma - Sex: Both - Age: Under 5 (Number),
  "deaths_drowning_sex_both_age_under_5_number" BIGINT  -- Deaths - Drowning - Sex: Both - Age: Under 5 (Number),
  "deaths_tuberculosis_sex_both_age_under_5_number" BIGINT  -- Deaths - Tuberculosis - Sex: Both - Age: Under 5 (Number),
  "deaths_neonatal_preterm_birth_sex_both_age_under_5_number" BIGINT  -- Deaths - Neonatal Preterm Birth - Sex: Both - Age: Under 5 (Number),
  "deaths_diarrheal_diseases_sex_both_age_under_5_number" BIGINT  -- Deaths - Diarrheal Diseases - Sex: Both - Age: Under 5 (Number),
  "deaths_neoplasms_sex_both_age_under_5_number" BIGINT  -- Deaths - Neoplasms - Sex: Both - Age: Under 5 (Number),
  "deaths_syphilis_sex_both_age_under_5_number" BIGINT  -- Deaths - Syphilis - Sex: Both - Age: Under 5 (Number)
);

Child Deaths By Age

@kaggle.programmerrdai_child_and_infant_mortality.child_deaths_by_age

118.13 kB
6,840 rows
7 columns

CREATE TABLE child_deaths_by_age (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "deaths_all_causes_sex_both_age_7_27_days_number" BIGINT  -- Deaths - All Causes - Sex: Both - Age: 7-27 Days (Number),
  "deaths_all_causes_sex_both_age_1_4_years_number" BIGINT  -- Deaths - All Causes - Sex: Both - Age: 1-4 Years (Number),
  "deaths_all_causes_sex_both_age_0_6_days_number" BIGINT  -- Deaths - All Causes - Sex: Both - Age: 0-6 Days (Number),
  "deaths_all_causes_sex_both_age_28_364_days_number" BIGINT  -- Deaths - All Causes - Sex: Both - Age: 28-364 Days (Number)
);

Child Deaths From Malaria Number

@kaggle.programmerrdai_child_and_infant_mortality.child_deaths_from_malaria_number

20.12 kB
6,840 rows
4 columns

CREATE TABLE child_deaths_from_malaria_number (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "deaths_malaria_sex_both_age_under_5_number" BIGINT  -- Deaths - Malaria - Sex: Both - Age: Under 5 (Number)
);

Child Deaths Igme Data

@kaggle.programmerrdai_child_and_infant_mortality.child_deaths_igme_data

61.46 kB
10,707 rows
4 columns

CREATE TABLE child_deaths_igme_data (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "number_of_under_five_deaths" BIGINT
);

Child Mortality 1990 Vs Latest Slope

@kaggle.programmerrdai_child_and_infant_mortality.child_mortality_1990_vs_latest_slope

445.91 kB
56,108 rows
6 columns

CREATE TABLE child_mortality_1990_vs_latest_slope (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "mortality_rate_under_5_per_1_000_live_births" DOUBLE  -- Mortality Rate, Under-5 (per 1,000 Live Births),
  "population_historical_estimates" DOUBLE  -- Population (historical Estimates),
  "continent" VARCHAR
);

Child Mortality Around The World

@kaggle.programmerrdai_child_and_infant_mortality.child_mortality_around_the_world

144.17 kB
17,220 rows
4 columns

CREATE TABLE child_mortality_around_the_world (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "estimates_1950_2020_annually_interpolated_demographic__e2463e91" DOUBLE  -- Estimates, 1950 - 2020: Annually Interpolated Demographic Indicators - Under-five Mortality (deaths Under Age 5 Per 1,000 Live Births)
);

Child Mortality By Income Level Of Country

@kaggle.programmerrdai_child_and_infant_mortality.child_mortality_by_income_level_of_country

40.27 kB
11,226 rows
4 columns

CREATE TABLE child_mortality_by_income_level_of_country (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "mortality_rate_under_5_per_1_000_live_births" DOUBLE  -- Mortality Rate, Under-5 (per 1,000 Live Births)
);

Child Mortality By Sex

@kaggle.programmerrdai_child_and_infant_mortality.child_mortality_by_sex

479.42 kB
56,108 rows
7 columns

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
);

Child Mortality Igme

@kaggle.programmerrdai_child_and_infant_mortality.child_mortality_igme

40.27 kB
11,226 rows
4 columns

CREATE TABLE child_mortality_igme (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "mortality_rate_under_5_per_1_000_live_births" DOUBLE  -- Mortality Rate, Under-5 (per 1,000 Live Births)
);

Child Mortality Vs Teenage Pregnancy

@kaggle.programmerrdai_child_and_infant_mortality.child_mortality_vs_teenage_pregnancy

48.72 kB
11,318 rows
6 columns

CREATE TABLE child_mortality_vs_teenage_pregnancy (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "mortality_rate_under_5_per_1_000_live_births" DOUBLE  -- Mortality Rate, Under-5 (per 1,000 Live Births),
  "teenage_mothers_of_women_ages_15_19_who_have_had_child_af2cb532" DOUBLE  -- Teenage Mothers (% Of Women Ages 15-19 Who Have Had Children Or Are Currently Pregnant),
  "continent" VARCHAR
);

Children Living With Hiv

@kaggle.programmerrdai_child_and_infant_mortality.children_living_with_hiv

9.48 kB
2,914 rows
4 columns

CREATE TABLE children_living_with_hiv (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "children_0_14_living_with_hiv" BIGINT  -- Children (0-14) Living With HIV
);

Children Sleeping Under Treated Bednet

@kaggle.programmerrdai_child_and_infant_mortality.children_sleeping_under_treated_bednet

6.97 kB
278 rows
4 columns

CREATE TABLE children_sleeping_under_treated_bednet (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "use_of_insecticide_treated_bed_nets_of_under_5_population" DOUBLE  -- Use Of Insecticide-treated Bed Nets (% Of Under-5 Population)
);

Children Woman Death Vs Survival

@kaggle.programmerrdai_child_and_infant_mortality.children_woman_death_vs_survival

254.59 kB
12,792 rows
5 columns

CREATE TABLE children_woman_death_vs_survival (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "children_that_died_before_5_years_of_age_per_woman_bas_eb19b0fc" DOUBLE  -- Children That Died Before 5 Years Of Age Per Woman (based On Gapminder (2017)),
  "children_that_survived_past_5_years_of_age_per_woman_b_38e7160b" DOUBLE  -- Children That Survived Past 5 Years Of Age Per Woman (based On Gapminder (2017))
);

Correlation Between Child Mortality And Mean Years Of, 9eae196f

@kaggle.programmerrdai_child_and_infant_mortality.correlation_between_child_mortality_and_mean_years_of__9eae196f

570.22 kB
58,435 rows
7 columns

CREATE TABLE correlation_between_child_mortality_and_mean_years_of__9eae196f (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "estimates_1950_2020_annually_interpolated_demographic__e2463e91" DOUBLE  -- Estimates, 1950 - 2020: Annually Interpolated Demographic Indicators - Under-five Mortality (deaths Under Age 5 Per 1,000 Live Births),
  "mean_years_of_schooling_women_in_reproductive_age_15_t_7cacd8ef" DOUBLE  -- Mean Years Of Schooling, Women (in Reproductive Age 15 To 49) (Our World In Data (2017)),
  "population_historical_estimates" DOUBLE  -- Population (historical Estimates),
  "continent" VARCHAR
);

Death Rates From Pneumonia And Other Lower Respiratory Af54c28a

@kaggle.programmerrdai_child_and_infant_mortality.death_rates_from_pneumonia_and_other_lower_respiratory_af54c28a

529.48 kB
56,810 rows
7 columns

CREATE TABLE death_rates_from_pneumonia_and_other_lower_respiratory_af54c28a (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "deaths_lower_respiratory_infections_sex_both_age_under_5_rate" DOUBLE  -- Deaths - Lower Respiratory Infections - Sex: Both - Age: Under 5 (Rate),
  "gdp_per_capita_ppp_current_international" DOUBLE  -- GDP Per Capita, PPP (current International $),
  "population_historical_estimates" DOUBLE  -- Population (historical Estimates),
  "continent" VARCHAR
);

Deaths From Diarrheal Diseases By Age

@kaggle.programmerrdai_child_and_infant_mortality.deaths_from_diarrheal_diseases_by_age

93.59 kB
6,840 rows
8 columns

CREATE TABLE deaths_from_diarrheal_diseases_by_age (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "deaths_diarrheal_diseases_sex_both_age_under_5_number" BIGINT  -- Deaths - Diarrheal Diseases - Sex: Both - Age: Under 5 (Number),
  "deaths_diarrheal_diseases_sex_both_age_70_years_number" BIGINT  -- Deaths - Diarrheal Diseases - Sex: Both - Age: 70+ Years (Number),
  "deaths_diarrheal_diseases_sex_both_age_50_69_years_number" BIGINT  -- Deaths - Diarrheal Diseases - Sex: Both - Age: 50-69 Years (Number),
  "deaths_diarrheal_diseases_sex_both_age_15_49_years_number" BIGINT  -- Deaths - Diarrheal Diseases - Sex: Both - Age: 15-49 Years (Number),
  "deaths_diarrheal_diseases_sex_both_age_5_14_years_number" BIGINT  -- Deaths - Diarrheal Diseases - Sex: Both - Age: 5-14 Years (Number)
);

Deaths From Preterm Birth Complications

@kaggle.programmerrdai_child_and_infant_mortality.deaths_from_preterm_birth_complications

74.25 kB
6,840 rows
4 columns

CREATE TABLE deaths_from_preterm_birth_complications (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "deaths_neonatal_preterm_birth_sex_both_age_under_5_rate" DOUBLE  -- Deaths - Neonatal Preterm Birth - Sex: Both - Age: Under 5 (Rate)
);

Diarrheal Death Rates Children Vs Gdp Per Capita

@kaggle.programmerrdai_child_and_infant_mortality.diarrheal_death_rates_children_vs_gdp_per_capita

528.84 kB
56,810 rows
7 columns

CREATE TABLE diarrheal_death_rates_children_vs_gdp_per_capita (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "deaths_diarrheal_diseases_sex_both_age_under_5_rate" DOUBLE  -- Deaths - Diarrheal Diseases - Sex: Both - Age: Under 5 (Rate),
  "gdp_per_capita_ppp_constant_2017_international" DOUBLE  -- GDP Per Capita, PPP (constant 2017 International $),
  "population_historical_estimates" DOUBLE  -- Population (historical Estimates),
  "continent" VARCHAR
);

Exclusive Breastfeeding

@kaggle.programmerrdai_child_and_infant_mortality.exclusive_breastfeeding

9.75 kB
527 rows
4 columns

CREATE TABLE exclusive_breastfeeding (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "exclusive_breastfeeding_percent" DOUBLE
);

Global Child Mortality Timeseries

@kaggle.programmerrdai_child_and_infant_mortality.global_child_mortality_timeseries

6.17 kB
65 rows
5 columns

CREATE TABLE global_child_mortality_timeseries (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "share_surviving_first_5_years_of_life_based_on_gapmind_979632ca" DOUBLE  -- Share Surviving First 5 Years Of Life (based On Gapminder And World Bank (2019)),
  "share_dying_in_first_5_years_based_on_gapminder_and_wo_7b6c49ec" DOUBLE  -- Share Dying In First 5 Years (based On Gapminder And World Bank (2019))
);

Infant Death Rates By Cause By Sex

@kaggle.programmerrdai_child_and_infant_mortality.infant_death_rates_by_cause_by_sex

5.32 kB
21 rows
5 columns

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)
);

Malaria Deaths By Age

@kaggle.programmerrdai_child_and_infant_mortality.malaria_deaths_by_age

64.89 kB
6,840 rows
8 columns

CREATE TABLE malaria_deaths_by_age (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "deaths_malaria_sex_both_age_under_5_number" BIGINT  -- Deaths - Malaria - Sex: Both - Age: Under 5 (Number),
  "deaths_malaria_sex_both_age_70_years_number" BIGINT  -- Deaths - Malaria - Sex: Both - Age: 70+ Years (Number),
  "deaths_malaria_sex_both_age_5_14_years_number" BIGINT  -- Deaths - Malaria - Sex: Both - Age: 5-14 Years (Number),
  "deaths_malaria_sex_both_age_15_49_years_number" BIGINT  -- Deaths - Malaria - Sex: Both - Age: 15-49 Years (Number),
  "deaths_malaria_sex_both_age_50_69_years_number" BIGINT  -- Deaths - Malaria - Sex: Both - Age: 50-69 Years (Number)
);

Neonatal Deaths By Cause

@kaggle.programmerrdai_child_and_infant_mortality.neonatal_deaths_by_cause

217.73 kB
6,840 rows
16 columns

CREATE TABLE neonatal_deaths_by_cause (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "deaths_diarrheal_diseases_sex_both_age_0_27_days_number" BIGINT  -- Deaths - Diarrheal Diseases - Sex: Both - Age: 0-27 Days (Number),
  "deaths_congenital_birth_defects_sex_both_age_0_27_days_number" BIGINT  -- Deaths - Congenital Birth Defects - Sex: Both - Age: 0-27 Days (Number),
  "deaths_hemolytic_disease_and_other_neonatal_jaundice_s_31394922" BIGINT  -- Deaths - Hemolytic Disease And Other Neonatal Jaundice - Sex: Both - Age: 0-27 Days (Number),
  "deaths_malaria_sex_both_age_0_27_days_number" BIGINT  -- Deaths - Malaria - Sex: Both - Age: 0-27 Days (Number),
  "deaths_lower_respiratory_infections_sex_both_age_0_27__8cc8341e" BIGINT  -- Deaths - Lower Respiratory Infections - Sex: Both - Age: 0-27 Days (Number),
  "deaths_meningitis_sex_both_age_0_27_days_number" BIGINT  -- Deaths - Meningitis - Sex: Both - Age: 0-27 Days (Number),
  "deaths_neonatal_encephalopathy_due_to_birth_asphyxia_a_84daa01f" BIGINT  -- Deaths - Neonatal Encephalopathy Due To Birth Asphyxia And Trauma - Sex: Both - Age: 0-27 Days (Number),
  "deaths_neonatal_preterm_birth_sex_both_age_0_27_days_number" BIGINT  -- Deaths - Neonatal Preterm Birth - Sex: Both - Age: 0-27 Days (Number),
  "deaths_tetanus_sex_both_age_0_27_days_number" BIGINT  -- Deaths - Tetanus - Sex: Both - Age: 0-27 Days (Number),
  "deaths_other_unspecified_infectious_diseases_sex_both__5862b103" BIGINT  -- Deaths - Other Unspecified Infectious Diseases - Sex: Both - Age: 0-27 Days (Number),
  "deaths_other_neonatal_disorders_sex_both_age_0_27_days_number" BIGINT  -- Deaths - Other Neonatal Disorders - Sex: Both - Age: 0-27 Days (Number),
  "deaths_neonatal_sepsis_and_other_neonatal_infections_s_14da482e" BIGINT  -- Deaths - Neonatal Sepsis And Other Neonatal Infections - Sex: Both - Age: 0-27 Days (Number),
  "deaths_sexually_transmitted_infections_excluding_hiv_s_39ce6308" BIGINT  -- Deaths - Sexually Transmitted Infections Excluding HIV - Sex: Both - Age: 0-27 Days (Number)
);

Number Of Children Newly Infected With Hiv

@kaggle.programmerrdai_child_and_infant_mortality.number_of_children_newly_infected_with_hiv

8.33 kB
2,821 rows
4 columns

CREATE TABLE number_of_children_newly_infected_with_hiv (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "children_ages_0_14_newly_infected_with_hiv" BIGINT  -- Children (ages 0-14) Newly Infected With HIV
);

Number Of Children Orphaned From Aids

@kaggle.programmerrdai_child_and_infant_mortality.number_of_children_orphaned_from_aids

27.26 kB
2,943 rows
4 columns

CREATE TABLE number_of_children_orphaned_from_aids (
  "entity" VARCHAR,
  "code" VARCHAR,
  "year" BIGINT,
  "aids_orphans_0_17_estimate" DOUBLE  -- AIDS Orphans - 0-17 Estimate
);