Find Out How Wealth Is Related To Health.
Health Equity And Financial Protection Indicators
@kaggle.ibrahimonmars_health_equity_and_financial_protection_indicators
Health Equity And Financial Protection Indicators
@kaggle.ibrahimonmars_health_equity_and_financial_protection_indicators
Introducing the "Global Health Equity and Financial Protection Indicators" dataset - a comprehensive and evolving collection that spans over two decades of crucial healthcare insights. This dataset has evolved from its humble beginnings in 2000, starting with 42 surveys from 42 countries, primarily focused on maternal and child health indicators.
Over the years, the dataset has undergone remarkable growth and expansion. In 2013, it marked a significant milestone by incorporating data on household out-of-pocket health expenditures and noncommunicable disease indicators, along with data from high-income countries. Subsequent updates in 2018 and 2019 propelled its reach to over 1,700 household surveys across 197 countries, presenting richer noncommunicable disease data and more extensive information on household out-of-pocket expenditures.
The latest 2022 version of the "HEFPI" database is a testament to its continuous evolution, now encompassing data from nearly 1,900 household surveys, covering 204 countries. This version boasts an impressive array of 104 indicators, including new metrics on financial protection, effective health coverage, and quality indicators - a significant stride towards capturing a more holistic view of global healthcare.
Moreover, the 2022 update introduces valuable insights into regional inequities, enabling analyses based on urban and rural areas of residence and subnational regions, facilitating a nuanced understanding of disparities in health outcomes.
The "Global Health Equity and Financial Protection Indicators" dataset stands as a vital resource for researchers, policymakers, and healthcare advocates worldwide, offering a multifaceted perspective on the journey towards a more equitable and protected global healthcare landscape.
CREATE TABLE hefpi (
"country_name" VARCHAR,
"country_code" VARCHAR,
"indicator_name" VARCHAR,
"indicator_code" VARCHAR,
"n_1982" DOUBLE -- 1982,
"n_1983" DOUBLE -- 1983,
"n_1984" DOUBLE -- 1984,
"n_1985" DOUBLE -- 1985,
"n_1986" DOUBLE -- 1986,
"n_1987" DOUBLE -- 1987,
"n_1988" DOUBLE -- 1988,
"n_1989" DOUBLE -- 1989,
"n_1990" DOUBLE -- 1990,
"n_1991" DOUBLE -- 1991,
"n_1992" DOUBLE -- 1992,
"n_1993" DOUBLE -- 1993,
"n_1994" DOUBLE -- 1994,
"n_1995" DOUBLE -- 1995,
"n_1996" DOUBLE -- 1996,
"n_1997" DOUBLE -- 1997,
"n_1998" DOUBLE -- 1998,
"n_1999" DOUBLE -- 1999,
"n_2000" DOUBLE -- 2000,
"n_2001" DOUBLE -- 2001,
"n_2002" DOUBLE -- 2002,
"n_2003" DOUBLE -- 2003,
"n_2004" DOUBLE -- 2004,
"n_2005" DOUBLE -- 2005,
"n_2006" DOUBLE -- 2006,
"n_2007" DOUBLE -- 2007,
"n_2008" DOUBLE -- 2008,
"n_2009" DOUBLE -- 2009,
"n_2010" DOUBLE -- 2010,
"n_2011" DOUBLE -- 2011,
"n_2012" DOUBLE -- 2012,
"n_2013" DOUBLE -- 2013,
"n_2014" DOUBLE -- 2014,
"n_2015" DOUBLE -- 2015,
"n_2016" DOUBLE -- 2016,
"n_2017" DOUBLE -- 2017,
"n_2018" DOUBLE -- 2018
);Anyone who has the link will be able to view this.