The Healthcare Gender Data Portal serves as a resource for accessing the latest gender and healthcare statistics. It is designed to challenge gender bias in healthcare.
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Indicators
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Featured Indicators
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Borrowed for health or medical purposes (% age 15+ )Borrowed for health or medical purposes (% age 15+ )
The percentage of respondents who report borrowing any money for health or medical purposes in the past year.
Aggregation method: Weighted average
Periodicity: Triennial
License Type: CC BY-4.0
Borrowed for health or medical purposes (% age 15+ )
The percentage of respondents who report borrowing any money for health or medical purposes in the past year.
Aggregation method: Weighted average
Periodicity: Triennial
License Type: CC BY-4.0
View this indicatorPrevalence of obesity (% of population ages 18 + ) Prevalence of obesity (% of population ages 18 +)
Prevalence of obesity adult is the percentage of adults ages 18 and over whose Body Mass Index (BMI) is 30 kg/m² or higher. Body Mass Index (BMI) is a simple index of weight-for-height, or the weight in kilograms divided by the square of the height in meters.
Periodicity: Annual
License Type: CC BY-4.0
Prevalence of obesity (% of population ages 18 +)
Prevalence of obesity adult is the percentage of adults ages 18 and over whose Body Mass Index (BMI) is 30 kg/m² or higher. Body Mass Index (BMI) is a simple index of weight-for-height, or the weight in kilograms divided by the square of the height in meters.
Periodicity: Annual
License Type: CC BY-4.0
View this indicatorPrevalence of anemia among women of reproductive age (%) Prevalence of anemia among women of reproductive age (% of women ages 15-49)
Prevalence of anemia among women of reproductive age refers to the combined prevalence of both non-pregnant with haemoglobin levels below 12 g/dL and pregnant women with haemoglobin levels below 11 g/dL.
Aggregation method: Weighted average
Periodicity: Annual
License Type: CC BY-4.0
Prevalence of anemia among women of reproductive age (% of women ages 15-49)
Prevalence of anemia among women of reproductive age refers to the combined prevalence of both non-pregnant with haemoglobin levels below 12 g/dL and pregnant women with haemoglobin levels below 11 g/dL.
Aggregation method: Weighted average
Periodicity: Annual
License Type: CC BY-4.0
View this indicatorThe government administers 100% of maternity leave benefits The government administers 100% of maternity leave benefits (1=yes; 0=no)
The indicator measures whether leave benefits are fully administered by a government entity, including compulsory social insurance schemes (such as social security), public funds, government-mandated private insurance or employer reimbursement of any maternity leave benefits paid directly to an employee.
Periodicity: Annual
License Type: CC BY-4.0
The government administers 100% of maternity leave benefits (1=yes; 0=no)
The indicator measures whether leave benefits are fully administered by a government entity, including compulsory social insurance schemes (such as social security), public funds, government-mandated private insurance or employer reimbursement of any maternity leave benefits paid directly to an employee.
Periodicity: Annual
License Type: CC BY-4.0
View this indicatorFemale genital mutilation prevalence (%) Female genital mutilation prevalence (%)
Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Periodicity: Annual
License Type: CC BY-4.0
Female genital mutilation prevalence (%)
Percentage of women aged 15–49 who have gone through partial or total removal of the female external genitalia or other injury to the female genital organs for cultural or other non-therapeutic reasons. Each wealth quintile represents one fifth of households with quintile 1 being the poorest 20 percent of households and quintile 5 being the richest 20 percent of households.
Periodicity: Annual
License Type: CC BY-4.0
View this indicatorPrevalence of HIV (% ages 15-24) Prevalence of HIV (% ages 15-24)
Prevalence of HIV, female is the percentage of females who are infected with HIV. Youth rates are as a percentage of the relevant age group.
Aggregation method: Weighted average
Periodicity: Annual
License Type: CC BY-4.0
Prevalence of HIV (% ages 15-24)
Prevalence of HIV, female is the percentage of females who are infected with HIV. Youth rates are as a percentage of the relevant age group.
Aggregation method: Weighted average
Periodicity: Annual
License Type: CC BY-4.0
View this indicatorProportion of seats held by women in national parliaments (%) Proportion of seats held by women in national parliaments (%)
Women in parliaments are the percentage of parliamentary seats in a single or lower chamber held by women.
Aggregation method: Weighted average
Periodicity: Annual
License Type: CC BY-4.0
Proportion of seats held by women in national parliaments (%)
Women in parliaments are the percentage of parliamentary seats in a single or lower chamber held by women.
Aggregation method: Weighted average
Periodicity: Annual
License Type: CC BY-4.0
View this indicatorCause of death (%) Cause of death (%)
Number of deaths ages 0-90 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all female deaths ages 0-4, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.Aggregation method: Weighted average
Periodicity: Annual
License Type: CC BY-4.0
Cause of death (%)
Number of deaths ages 0-90 due to communicable diseases and maternal, prenatal and nutrition conditions divided by number of all female deaths ages 0-4, expressed by percentage. Communicable diseases and maternal, prenatal and nutrition conditions included infectious and parasitic diseases, respiratory infections, and nutritional deficiencies such as underweight and stunting.Aggregation method: Weighted average
Periodicity: Annual
License Type: CC BY-4.0
View this indicatorFeatured resources
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Context Survey Context survey
In order to shape a comprehensive understanding of the pervasive issue of gender bias in healthcare, it is imperative to delve into the historical roots of the 'male-default' paradigm that has long influenced medical practice.
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Context survey
In order to shape a comprehensive understanding of the pervasive issue of gender bias in healthcare, it is imperative to delve into the historical roots of the 'male-default' paradigm that has long influenced medical practice.
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View this pageExplore page Explore page
This visualisation utilises an interactive 3D globe interface, allowing users to explore health statistics across various countries. Users can select a specific country of interest, and upon selection, a range of health indicators will be displayed, segmented by sex.
Explore page
This visualisation utilises an interactive 3D globe interface, allowing users to explore health statistics across various countries. Users can select a specific country of interest, and upon selection, a range of health indicators will be displayed, segmented by sex.
View this pageReading list Reading list
This provides a reading list if one is interested in learning more about gender bias in healthcare.
Reading list
This provides a reading list if one is interested in learning more about gender bias in healthcare.
View this pageResearch survey Research survey
Join us in raising awareness for the future of gender bias in healthcare by participating in our quick survey! Your valuable insights will help us better understand our visualisation and make meaningful improvements.
Research survey
Join us in raising awareness for the future of gender bias in healthcare by participating in our quick survey! Your valuable insights will help us better understand our visualisation and make meaningful improvements.
View this pageAbout
This dissertation project, titled 'Challenging the 'Male Default' Paradigm: Utilising Advanced Data Visualisation to Raise Awareness of Gender Bias in Healthcare,' aims to use innovative data visualisation techniques to shine a spotlight on gender bias in healthcare, enabling a more inclusive and equitable approach to medical decision-making, research, and patient care.
The "Male Default" paradigm in healthcare is a critical concern that this project intends to address. Historically, medical research and healthcare practices have predominantly centred around male data, often neglecting the unique health needs and experiences of individuals who identify as female. Since the time of Hippocrates and the ancient belief in the "wandering womb", to the historic mistreatment of pain as 'hysteria', healthcare and medicine have been deeply shaped against women. Historical misconceptions and biases have permeated medical research and healthcare practices, leading to a systemic gender bias in medicine.
Contact
Contact
Supervisor: Dr Areti Manataki
Phone: +44 (0)1334 46 3265
Email: A.Manataki@st-andrews.ac.uk
School of Computer Science
University of St Andrews
Jack Cole Building
North Haugh
St Andrews
KY16 9SX
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The Creative Commons Attribution 4.0 International license allows users to copy, modify and distribute data in any format for any purpose, including commercial use. Users are only obligated to give appropriate credit (attribution) and indicate if they have made any changes, including translations. CC-BY 4.0, with the additional terms below, is the default license for all Datasets produced by the World Bank itself and distributed as open data.