The Gender Equality Index is a tool to measure the progress of gender equality in the EU, developed by EIGE. It gives more visibility to areas that need improvement and ultimately supports policy makers to design more effective gender equality measures.

The Gender Equality Index has tracked the painfully slow progress of gender equality in the EU since 2010, mostly due to advances in decision-making. While equality is more pronounced in some Member States than in others, it is far from a reality for everyone in every area. Gender norms around care, gender segregation in education and the labour market, and gender inequalities in pay remain pertinent.

The Index allows Member States to easily monitor and compare gender equality progress across various groups of women and men in the EU over time and to understand where improvements are most needed. The 2022 Index has a thematic focus on care in the Covid-19 pandemic. It explores the division of informal childcare, long-term care and housework between women and men.

The Gender Equality Index is a composite indicator. With a total of six core domains (work, money, knowledge, time, power and health) and two satellite domains (violence against women and intersecting inequalities), it offers a synthetic and easy-to-interpret measure for gender equality, indicating how far (or close) the EU and its Member States are from achieving gender equality on a scale of 1 to 100.

Building on previous editions alongside EIGE’s approach to ensuring intersecting inequalities are captured, the Gender Equality Index 2022 continues to show the diverse realities that different groups of women and men face. It examines how elements such as disability, age, level of education, country of birth and family type can intersect with gender and create many different kinds of pathways in people's lives.

The global gender gap index benchmarks national gender gaps on economic, political, education, and health-based criteria. In 2025, the country offering most gender equal conditions was Iceland, with a score of 0.93. Overall, the Nordic countries make up 3 of the 5 most gender equal countries in the world. The Nordic countries are known for their high levels of gender equality, including high female employment rates and evenly divided parental leave. Sudan is the second-least gender equal country Pakistan is found on the other end of the scale, ranked as the least gender equal country in the world. Conditions for civilians in the North African country have worsened significantly after a civil war broke out in April 2023. Especially girls and women are suffering and have become victims of sexual violence. Moreover, nearly 9 million people are estimated to be at acute risk of famine. The Middle East and North Africa has the largest gender gap Looking at the different world regions, the Middle East and North Africa has the largest gender gap as of 2023, just ahead of South Asia. Moreover, it is estimated that it will take another 152 years before the gender gap in the Middle East and North Africa is closed. On the other hand, Europe has the lowest gender gap in the world.

Under the Workplace Gender Equality Act 2012, non-public sector employers with 100 or more staff must report to the WGEA annually, which covers over 12,000 Australian organisations. Information collected and contained in the data files are the gender composition of the workforce and governing bodies/boards, percentage of organisations with policy and/or strategies across a broad range of gender equality issues, paid parental leave and flexible work arrangement offerings.

Visit Data Explorer (https://data.wgea.gov.au/) for key trends and data visualisations

Visit Metadata registry (https://wgea.aristotlecloud.io/about/wgea/gender_equality_indicators) for further information about how we use the data to measure gender equality.

The Data Quality Declaration (https://www.wgea.gov.au/data/data-quality-declaration) addresses the overall quality of the Agency data in terms of relevance, timeliness, accuracy, coherence, interpretability, accessibility, and the institutional environment.

The research aim was to explore how to promote gender equality using Information and Communication Technologies (ICTs). The researcher conducted semi-structured interviews with a total of 19 respondents, both men and women. The researcher used the information that was collected from interviews and document analysis to evaluate the facts and findings of the study. The researcher used SPSS Version 21 to analyse the data in Section A for the respondents’ biographical data and perceived use of ICTs. The researcher then used NVIVO to transcribe and code data and then used Microsoft Excel to present the data set from which themes were generated to analyse data in Section B and C in order to answer the research questions.

According to the Gender Inequality Index (GII), Denmark and Norway were the most gender equal countries in the world in 2023, reporting an index of ***** and *****, respectively. The Gender Inequality Index measures inequality between women and men in three dimensions: reproductive health, empowerment, and the labor market. A low GII value indicates low inequality between women and men and vice versa. Yemen was considered the least gender equal country that same year. Gender inequality in the workplace The most prominent source of gender inequality is the workplace, often captured by the gender pay gap. In 2023, women still earned one percent less than their male counterparts with the same qualification and the same job. Women are less represented in senior roles and top management positions, with only one third percent of companies worldwide having a woman in leadership positions. The same situation can be observed in government roles - only 17 out of 195 countries worldwide have ever had a woman in the highest position of executive power. Future outlook Numbers on how long it will take to close gender gaps highly differ between regions. In Europe, it is estimated that it will take around 67 years to achieve equality between the genders. In East Asia and the Pacific, on the other hand, it is projected to take 189 years. New data shows that the COVID-19 pandemic has increased female poverty worldwide and widened the gender poverty gap even further. Heightened female poverty will also negatively impact the Gender Inequality Index (GII).

In 2023, Maine scored highest in the Gender Parity Index with a score of 53.6. The state of Oregon also reached gender parity that year, with a score of 53.2. Michigan, New Mexico, and Nevada rounded off the top five states that year, with all three within five points of reaching gender parity.

This fascinating compilation of the recent data on gender differences in education presents a wealth of data, analysed from a multitude of angles in a clear and lively way. In particular it looks at underperformance among boys, lack of self confidence among girls and family, school and societal influences before addressing policies to help boys and girls reach their full potential.

Achieve gender equality and empower all women and girls : The region has made progress in achieving gender equality and empowering women and girls, particularly in education and health and to a lesser extent women’s participation in formal employment and national policy making. This is attributed to growing awareness of the need to address gender inequalities; While almost all countries in the Pacific have adopted specific gender policies and strategies, the resources for integrating and implementing these priorities are limited. Budgets for national women’s offices are less than one percent of national appropriations; Gender inequality is highlighted by the high prevalence rates of violence against women (more than 60 percent in Melanesia, and more than 40 percent in Polynesia and Micronesia). Sexual and reproductive health and rights issues also remain substantial challenges to be addressed under Goal 5. Fertility rates, especially teenage fertility, remain high in some.

Find more Pacific data on PDH.stat.

The Gender Statistics Database provides a broad overview of statistics on gender as well as information on the various aspects of (in)equality between women and men. These include indicators referred to the EU Strategy for Equality between Women and Men (2010-2015) and the Beijing Declaration and Platform for Action on Equality.

Moreover, it is possible to access the Gender Equality Index Scores on the same platform. The Index is a composite indicator that measures how far (or close) the EU and its Member States were from achieving complete gender equality in the reference year.

Abstract

This retrospective report explores global progress and lessons learned over the past 10 years in promoting gender equality. This report takes stock of global progress and considers the impact of evidence-backed solutions to close the most persistent gender gaps. It examines the evolution of World Bank Group’s engagement on gender and highlights promising approaches. Reflections and findings will enable the WBG and its partners to develop a deeper understanding of what works, provide opportunities to strengthen and expand efforts in critical areas, and will inform the new WBG Gender Strategy, to be launched in 2024.

Citation

“World Bank. 2023. Gender Equality in Development: A Ten-Year Retrospective. © Washington, DC: World Bank. http://hdl.handle.net/10986/39939 License: CC BY-NC 3.0 IGO.”

URI

https://openknowledge.worldbank.org/handle/10986/39939

Download of Gender statistics CSV file from World Bank, as of September 25th 2019.

Explore gender statistics data focusing on academic staff, employment, fertility rates, GDP, poverty, and more in the GCC region. Access comprehensive information on key indicators for Bahrain, China, India, Kuwait, Oman, Qatar, and Saudi Arabia.

academic staff, Access to anti-retroviral drugs, Adjusted net enrollment rate, Administration and Law programmes, Age at first marriage, Age dependency ratio, Cause of death, Children out of school, Completeness of birth registration, consumer prices, Cost of business start-up procedures, Employers, Employment in agriculture, Employment in industry, Employment in services, employment or training, Engineering and Mathematics programmes, Female headed households, Female migrants, Fertility planning status: mistimed pregnancy, Fertility planning status: planned pregnancy, Fertility rate, Firms with female participation in ownership, Fisheries and Veterinary programmes, Forestry, GDP, GDP growth, GDP per capita, gender parity index, Gini index, GNI, GNI per capita, Government expenditure on education, Government expenditure per student, Gross graduation ratio, Households with water on the premises, Inflation, Informal employment, Labor force, Labor force with advanced education, Labor force with basic education, Labor force with intermediate education, Learning poverty, Length of paid maternity leave, Life expectancy at birth, Mandatory retirement age, Manufacturing and Construction programmes, Mathematics and Statistics programmes, Number of under-five deaths, Part time employment, Population, Poverty headcount ratio at national poverty lines, PPP, Primary completion rate, Retirement age with full benefits, Retirement age with partial benefits, Rural population, Sex ratio at birth, Unemployment, Unemployment with advanced education, Urban population

Bahrain, China, India, Kuwait, Oman, Qatar, Saudi Arabia

Follow data.kapsarc.org for timely data to advance energy economics research.

Over the past decades, more and more women have entered the labor market around the world. Today, over 40 percent of the global workforce are women. However, only one third are in senior roles, and less than 30 percent work within science, technology, engineering, and mathematics (STEM). The Global Gender Index benchmarks national gender gaps on economic, political, education, and health-based criteria. In 2025, the leading country was Iceland .

Investor Gender Equality Report_Listed Statistics Data

The Gender Equity Program (GEP), implemented by the Aurat Foundation between August 2010 and August 2017, was the United States Agency for International Development (USAID) flagship gender activity in Pakistan. GEP aimed to close the gender gap in Pakistan by actively supporting women’s economic, political, and social development. The program provided grants to government and non-government entities to implement gender-focused activities at the district level and supported work on national and provincial-level pro-women legislation.

Briefing session on sex statistics................

Introduction

This study reproduces the results of the article Relationship of gender differences in preferences to economic development and gender equality (DOI: 10.1126/science.aas9899) and partially its supplementary material.

The code for the analysis can be found at the following GitHub page: https://github.com/scerioli/Global-Preferences-Survey

Preparation of the data

Data Collection, Cleaning, and Standardization

The data used in the Falk & Hermle 2018 is not fully available because of two reasons:

1. Data paywall: Some part of the data is not available for free. It requires to pay a fee to the Gallup to access them. This is the case for the additional data set that is used in the article, for instance, the one that contains the education level and the household income quintile. Check the website of the briq - Institute on Behavior & Inequality for more information on it.

2. Data used in study is not available online: This is what happened for the LogGDP p/c calculated in 2005 US dollars (which is not directly available online). We decided to calculate the LogGDP p/c in 2010 US dollars because it was easily available, which should not change the main findings of the article.

Global Preferences Survey

This data is protected by copyright and cannot be given to third parties.

To download the GPS data set, go to the website of the Global Preferences Survey in the section "downloads". There, choose the "Dataset" form and after filling it, we can download the data set.

Hint: The organisation can be also "private".

The following two relevant papers have to be also cited in all publications that make use of or refer in any kind to GPS dataset:

• Falk, A., Becker, A., Dohmen, T., Enke, B., Huffman, D., & Sunde, U. (2018). Global evidence on economic preferences. Quarterly Journal of Economics, 133 (4), 1645–1692.

• Falk, A., Becker, A., Dohmen, T. J., Huffman, D., & Sunde, U. (2016). The preference survey module: A validated instrument for measuring risk, time, and social preferences. IZA Discussion Paper No. 9674.

GDP per capita

From the website of the World Bank, one can access the data about the GDP per capita on a certain set of years. We took the GDP per capita (constant 2010 US$), made an average of the data from 2003 until 2012 for all the available countries, and matched the names of the countries with the ones from the GPS data set.

Gender Equality Index

The Gender Equality Index is composed of four main data sets.

• Time since women’s suffrage: Taken from the Inter-Parliamentary Union Website. We prepared the data in the following way. For several countries more than one date where provided (for example, the right to be elected and the right to vote). We use the last date when both vote and stand for election right were granted, with no other restrictions commented. Some counties were a colony or within union of the countries (for instance, Kazakhstan in Soviet Union). For these countries, the rights to vote and be elected might be technically granted two times within union and as independent state. In this case we kept the first date. It was difficult to decide on South Africa because its history shows the racism part very entangled with women's rights. We kept the latest date when also Black women could vote. For Nigeria, considered the distinctions between North and South, we decided to keep only the North data because, again, it was showing the completeness of the country and it was the last date. Note: USA data doesn't take into account that also up to 1964 black women couldn't vote (in general, Blacks couldn't vote up to that year). We didn’t keep this date, because it was not explicitly mentioned in the original data set. This is in contrast with other choices made, but it is important to reproduce exactly the results of the publication, and the USA is often easy to spot on the plots.

• UN Gender Inequality Index: Taken from the Human Development Report 2015. We kept only the table called "Gender Inequality Index".

• WEF Global Gender Gap: WEF Global Gender Gap Index Taken from the World Economic Forum Global Gender Gap Report 2015. For countries where data were missing, data was added from the World Economic Forum Global Gender Gap Report 2006. We modified some of the country names directly in the csv file, that is why we provide it as an input file.

• Ratio of female and male labour force participation: Average International Labour Organization estimates from 2003 to 2012 taken from the World Bank database (http://data.worldbank.org/indicator/SL.TLF.CACT.FM.ZS). Values were inverted to create an index of equality. We took the average for the period between 2004 and 2013.

In our extended analysis, we also involved the following index:

• United Nations Development Programme Gender Development Index taken from Human Development Reports 2020. Note that we have downloaded the two tables of the Human Development Index for males and females, and used the ratio of the two as a GDI index, as described in the report.

Since 2018, UK firms with at least 250 employees have been mandated to publicly disclose gender equality indicators. Exploiting variations in this mandate across firm size and time, we show that pay transparency closes 19 percent of the gender pay gap by reducing men’s wage growth. By combining different sources of data, we also provide suggestive evidence that the public availability of the equality indicators influences employers’ response as worse performing firms and employers potentially more exposed to public scrutiny seem to reduce their gender pay gap the most.

The Gender Equality Index benchmarks national gender gaps on economic, political, education, and health-based criteria among the countries of the European Union. A score of 0 indicates that there is no gender equality, while 100 points indicate that gender equality is achieved. In the 2024 index, the leading country was Sweden with 82 points. Denmark and the Netherlands were the second and third most gender equal countries. Considering the other side of the spectrum, Romania only scored 56.1 points, way below the EU average of 70.2. Other countries at the bottom of the ranking were Hungary and Romania. Equality in health Not only does the index measure gender equality on national levels, it also breaks down gender equality into different dimensions. With an index score of 88 points, health was the most equal dimension among men and women within the EU, followed by money and work. To the contrary, power was considered the most unequal dimension, along with knowledge and time management. The Global Gender Gap Index From a global perspective, Iceland is considered the most gender equal country. Dominating this list are the Nordic countries: Norway, Finland, New Zealand, and Sweden rank in the top 5. As of 2024, it was estimated that Europe had closed 75 percent of its gender gap, making it the most successful region in the world, before North and Latin America. Nevertheless, experts predict that gender parity will not be achieved in the region for another 67 years.

The so-called “gender-equality paradox” is the fact that gender segregation across occupations is more pronounced in more egalitarian and more developed countries. Some scholars have explained this paradox by the existence of deeply rooted or intrinsic gender differences in preferences that materialize more easily in countries where economic constraints are more limited. In line with a strand of research in sociology, we show instead that it can be explained by cross-country differences in essentialist gender norms regarding math aptitudes and appropriate occupational choices. To this aim, we propose a measure of the prevalence and extent of internalization of the stereotype that “math is not for girls” at the country level. This is done using individual-level data on the math attitudes of 300,000 15-year-old female and male students in 64 countries. The stereotype associating math to men is stronger in more egalitarian and developed countries. It is also strongly associated with various measures of female underrepresentation in math intensive fields and can therefore entirely explain the gender-equality paradox. We suggest that economic development and gender equality in rights go hand-in-hand with a reshaping rather than a suppression of gender norms, with the emergence of new and more horizontal forms of social differentiation across genders.