Population Of China (1950-2022)
Complete data on historical population and rates of factors affecting population
@kaggle.amritharj_population_of_china_19502022
Complete data on historical population and rates of factors affecting population
@kaggle.amritharj_population_of_china_19502022
This dataset contains the data about population in China from 1950 to 2022. The dataset contain different factors affecting the population like birth rate, death rate, fertility rate, migration rate etc. and the percentage increase or decrease in it. These data can be used for analyzing the population in each year. This dataset is great for Exploratory Data Analysis and visualization.
CREATE TABLE china_population (
"year" BIGINT,
"population" BIGINT,
"n__increase_in_population" VARCHAR -- % Increase In Population,
"population_density" DOUBLE,
"n__increase_in_population_density" VARCHAR -- % Increase In Population Density,
"urban_population" VARCHAR,
"urban_population_of_total_population" VARCHAR -- Urban Population % Of Total Population,
"n__increase_in_urban_population" VARCHAR -- % Increase In Urban Population,
"rural_population" VARCHAR,
"rural_population_of_total_population" VARCHAR -- Rural Population % Of Total Population,
"n__change_in_rural_population" VARCHAR -- % Change In Rural Population,
"life_expectancy" DOUBLE,
"n__increase_in_life_expectancy" VARCHAR -- % Increase In Life Expectancy,
"birth_rate" DOUBLE,
"n__change_in_birth_rate" VARCHAR -- % Change In Birth Rate,
"death_rate" DOUBLE,
"n__change_in_death_rate" VARCHAR -- % Change In Death Rate,
"infant_mortality_rate" DOUBLE,
"n__change_in_infant_mortality_rate" VARCHAR -- % Change In Infant Mortality Rate,
"fertility_rate" DOUBLE,
"n__change_in_fertility_rate" VARCHAR -- % Change In Fertility Rate,
"net_migration_rate" DOUBLE,
"n__change_in_net_migration_rate" VARCHAR -- % Change In Net Migration Rate
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