Socio-Economic Country Profiles
Contains 95 socio-economic metrics of 66 countries
@kaggle.nishanthsalian_socioeconomic_country_profiles
Contains 95 socio-economic metrics of 66 countries
@kaggle.nishanthsalian_socioeconomic_country_profiles
There can be multiple motivations for analyzing country specific data, ranging from identifying successful approaches in healthcare policy to identifying business investment opportunities, and many more. Often, all these various goals would have to analyze a substantially overlapping set of parameters. Thus, it would be very good to have a broad set of country specific indicators at one place.
This data-set is an effort in that direction. Of-course there are still plenty more parameters out there. If anyone is interested to integrate more parameters to this dataset, you are more than welcome.
This dataset contains about 95 statistical indicators of the 66 countries. It covers a broad spectrum of areas including
General Information
Broader Economic Indicators
Social Indicators
Environmental & Infrastructure Indicators
Military Spending
Healthcare Indicators
Trade Related Indicators e.t.c.
This data-set for the year 2017 is an amalgamation of data from SRK's Country Statistics - UNData, Numbeo and World Bank.
The entire data-set is contained in one file described below:
soci_econ_country_profiles.csv - The first column contains the country names followed by 95 columns containing the various indicator variables.
This is a data-set built on top of SRK's Country Statistics - UNData which was primarily sourced from UNData.
Additional data such as "Cost of living index", "Property price index", "Quality of life index" have been extracted from Numbeo and a number of metrics related to "trade", "healthcare", "military spending", "taxes" etc are extracted from World Bank data source.
Given that this is an amalgamation of data from three different sources, only those countries(about 66) which have sufficient data across all the three sources are considered.
Please read the Numbeo terms of use and policieshere
Please read the WorldBank terms of use and policies here
Please read the UN terms of use and policies here
Photo Credits : Louis Maniquet on Unsplash
CREATE TABLE soci_econ_country_profiles (
"unnamed_0" BIGINT -- Unnamed: 0,
"country" VARCHAR,
"region" VARCHAR,
"surface_area_km2" BIGINT -- Surface Area (km2),
"population_in_thousands_2017" BIGINT -- Population In Thousands (2017),
"population_density_per_km2_2017" DOUBLE -- Population Density (per Km2, 2017),
"sex_ratio_m_per_100_f_2017" DOUBLE -- Sex Ratio (m Per 100 F, 2017),
"gdp_gross_domestic_product_million_current_us" BIGINT -- GDP: Gross Domestic Product (million Current US$),
"gdp_growth_rate_annual_const_2005_prices" DOUBLE -- GDP Growth Rate (annual %, Const. 2005 Prices),
"gdp_per_capita_current_us" DOUBLE -- GDP Per Capita (current US$),
"economy_agriculture_of_gva" VARCHAR -- Economy: Agriculture (% Of GVA),
"economy_industry_of_gva" DOUBLE -- Economy: Industry (% Of GVA),
"economy_services_and_other_activity_of_gva" DOUBLE -- Economy: Services And Other Activity (% Of GVA),
"employment_agriculture_of_employed" DOUBLE -- Employment: Agriculture (% Of Employed),
"employment_industry_of_employed" DOUBLE -- Employment: Industry (% Of Employed),
"employment_services_of_employed" DOUBLE -- Employment: Services (% Of Employed),
"unemployment_of_labour_force" DOUBLE -- Unemployment (% Of Labour Force),
"labour_force_participation_female_male_pop" VARCHAR -- Labour Force Participation (female/male Pop. %),
"agricultural_production_index_2004_2006_100" BIGINT -- Agricultural Production Index (2004-2006\u003d100),
"food_production_index_2004_2006_100" BIGINT -- Food Production Index (2004-2006\u003d100),
"international_trade_exports_million_us" BIGINT -- International Trade: Exports (million US$),
"international_trade_imports_million_us" BIGINT -- International Trade: Imports (million US$),
"international_trade_balance_million_us" BIGINT -- International Trade: Balance (million US$),
"balance_of_payments_current_account_million_us" BIGINT -- Balance Of Payments, Current Account (million US$),
"population_growth_rate_average_annual" VARCHAR -- Population Growth Rate (average Annual %),
"urban_population_of_total_population_x" DOUBLE -- Urban Population (% Of Total Population) X,
"urban_population_growth_rate_average_annual" VARCHAR -- Urban Population Growth Rate (average Annual %),
"fertility_rate_total_live_births_per_woman" DOUBLE -- Fertility Rate, Total (live Births Per Woman),
"population_age_distribution_0_14_60_years" VARCHAR -- Population Age Distribution (0-14 / 60+ Years, %),
"international_migrant_stock_000_of_total_pop" VARCHAR -- International Migrant Stock (000/% Of Total Pop.),
"refugees_and_others_of_concern_to_unhcr_in_thousands" VARCHAR -- Refugees And Others Of Concern To UNHCR (in Thousands),
"infant_mortality_rate_per_1000_live_births" DOUBLE -- Infant Mortality Rate (per 1000 Live Births,
"health_total_expenditure_of_gdp" DOUBLE -- Health: Total Expenditure (% Of GDP),
"health_physicians_per_1000_pop" VARCHAR -- Health: Physicians (per 1000 Pop.),
"education_government_expenditure_of_gdp" VARCHAR -- Education: Government Expenditure (% Of GDP),
"education_primary_gross_enrol_ratio_f_m_per_100_pop" VARCHAR -- Education: Primary Gross Enrol. Ratio (f/m Per 100 Pop.),
"education_secondary_gross_enrol_ratio_f_m_per_100_pop" VARCHAR -- Education: Secondary Gross Enrol. Ratio (f/m Per 100 Pop.),
"education_tertiary_gross_enrol_ratio_f_m_per_100_pop" VARCHAR -- Education: Tertiary Gross Enrol. Ratio (f/m Per 100 Pop.),
"seats_held_by_women_in_national_parliaments" DOUBLE -- Seats Held By Women In National Parliaments %,
"mobile_cellular_subscriptions_per_100_inhabitants" DOUBLE -- Mobile-cellular Subscriptions (per 100 Inhabitants),
"mobile_cellular_subscriptions_per_100_inhabitants_1" DOUBLE -- Mobile-cellular Subscriptions (per 100 Inhabitants).1,
"individuals_using_the_internet_per_100_inhabitants" BIGINT -- Individuals Using The Internet (per 100 Inhabitants),
"threatened_species_number" DOUBLE -- Threatened Species (number),
"forested_area_of_land_area" VARCHAR -- Forested Area (% Of Land Area),
"co2_emission_estimates_million_tons_tons_per_capita" BIGINT -- CO2 Emission Estimates (million Tons/tons Per Capita),
"energy_production_primary_petajoules" BIGINT -- Energy Production, Primary (Petajoules),
"energy_supply_per_capita_gigajoules" VARCHAR -- Energy Supply Per Capita (Gigajoules),
"pop_using_improved_drinking_water_urban_rural" VARCHAR -- Pop. Using Improved Drinking Water (urban/rural, %),
"pop_using_improved_sanitation_facilities_urban_rural" VARCHAR -- Pop. Using Improved Sanitation Facilities (urban/rural, %),
"net_official_development_assist_received_of_gni" BIGINT -- Net Official Development Assist. Received (% Of GNI),
"quality_of_life_index" DOUBLE,
"purchasing_power_index" DOUBLE,
"safety_index" DOUBLE,
"health_care_index" DOUBLE,
"cost_of_living" DOUBLE,
"property_price_to_income_ratio" DOUBLE,
"traffic_commute_time_index" DOUBLE,
"pollution_index" DOUBLE,
"climate_index" DOUBLE,
"gross_rental_yield_city_center" DOUBLE,
"gross_rental_yield_outside_center" DOUBLE,
"property_price_to_rent_ratio_city_center" DOUBLE,
"property_price_to_rent_ratio_outside_center" DOUBLE,
"mortgate_as_percentage_of_income" DOUBLE,
"affordability_index" DOUBLE,
"cost_of_living_index" DOUBLE,
"rent_index" DOUBLE,
"cost_of_living_plus_rent_index" DOUBLE,
"grocery_index" DOUBLE,
"restaurant_price_index" DOUBLE,
"local_purchasing_power_index" DOUBLE,
"access_to_electricity_of_population" DOUBLE -- Access To Electricity (% Of Population),
"adjusted_net_national_income_per_capita_constant_2010_us" DOUBLE -- Adjusted Net National Income Per Capita (constant 2010 US$),
"age_dependency_ratio_of_working_age_population" DOUBLE -- Age Dependency Ratio (% Of Working-age Population),
"air_transport_freight_million_ton_km" DOUBLE -- Air Transport, Freight (million Ton-km),
"air_transport_passengers_carried" DOUBLE -- Air Transport, Passengers Carried,
"commercial_service_exports_current_us" DOUBLE -- Commercial Service Exports (current US$),
"commercial_service_imports_current_us" DOUBLE -- Commercial Service Imports (current US$),
"consumer_price_index_2010_100" DOUBLE -- Consumer Price Index (2010 \u003d 100),
"current_account_balance_of_gdp" DOUBLE -- Current Account Balance (% Of GDP),
"current_health_expenditure_of_gdp" DOUBLE -- Current Health Expenditure (% Of GDP),
"exports_of_goods_and_services_of_gdp" DOUBLE -- Exports Of Goods And Services (% Of GDP),
"gross_domestic_savings_of_gdp" DOUBLE -- Gross Domestic Savings (% Of GDP),
"high_technology_exports_current_us" DOUBLE -- High-technology Exports (current US$),
"human_capital_index_hci_scale_0_1" DOUBLE -- Human Capital Index (HCI) (scale 0-1),
"imports_of_goods_and_services_of_gdp" DOUBLE -- Imports Of Goods And Services (% Of GDP),
"inflation_consumer_prices_annual" DOUBLE -- Inflation, Consumer Prices (annual %),
"life_expectancy_at_birth_female_years" DOUBLE -- Life Expectancy At Birth, Female (years),
"life_expectancy_at_birth_male_years" DOUBLE -- Life Expectancy At Birth, Male (years),
"life_expectancy_at_birth_total_years" DOUBLE -- Life Expectancy At Birth, Total (years),
"military_expenditure_of_gdp" DOUBLE -- Military Expenditure (% Of GDP),
"population_female" DOUBLE -- Population, Female,
"population_male" DOUBLE -- Population, Male,
"tax_revenue_of_gdp" DOUBLE -- Tax Revenue (% Of GDP),
"taxes_on_income_profits_and_capital_gains_of_revenue" DOUBLE -- Taxes On Income, Profits And Capital Gains (% Of Revenue),
"urban_population_of_total_population_y" DOUBLE -- Urban Population (% Of Total Population) Y
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