“If we’re serious about narrowing the gender gap and
helping more girls and women, then we must get serious about gathering and
analyzing the data that tells the tale”.
Hillary Rodham Clinton, Remarks on Evidence
and Impact: Closing the Gender Data Gap, 19 July 2012
The contribution that women make to societal progress is widely
acknowledged, whether it is producing food, negotiating peace agreements or
ensuring that children are immunised. UNDP’s Human Development Report shows
that gender
inequality can reduce a country’s progress in health, education and standard of
living by up to 85 percent. We also know that women are still discriminated
against in many areas and that much
more needs to be done to achieve gender equality, especially with the 2015
deadline for the Millennium Development Goals approaching fast.
But what about the gender data gap?
Despite the wealth of data that we have today thanks to modern
technology advances, there are huge data gaps for basic gender-related
indicators, especially in developing countries: basic
indicators such as maternal mortality remain under-reported, often because
many women in poor countries do not come into contact with official surveys or
do not have access to basic health facilities; other
areas where data is patchy or of poor quality includes: at what age women
have their first child, how many hours of paid and unpaid work women perform,
if women own the land they farm, how many women are internet users, how many
women are involved in decision-making in their local governments, to name a
few. In other cases, there is data but not
enough data coverage or it isn’t collected regularly: for example, for the
share of women in non-agricultural wage work in Africa, there is only data for
9 out of 47 countries. Why is it important to know such data in detail? Because
incomplete, poor quality or missing data can lead to erroneous interpretations
of the data and therefore give us at best an incomplete, or even worse, an
incorrect picture of development challenges.
As such, I believe that reducing the gender data gap is a
prerequisite to achieve gender equality and meet the development goals. Without
such data, how can policy makers make the right decisions? Improved data
availability, accuracy, detail and coverage would make a huge difference in
accelerating development and societal progress, as it would better inform and
shape policy goals. By investing in collecting and analysing data on women and
gender equality, we would significantly increase the benefits for society, as
we become more aware of where more efforts and resources are needed.
“Data not only measures progress, it inspires it. (…)
what gets measured gets done”.
Hillary Rodham Clinton, Remarks on Evidence
and Impact: Closing the Gender Data Gap, 19 July 2012
According
to the World Bank, the lack of good and comparable data is due, in part, to
ineffective data capturing methodologies and a lack of official statistical
systems in developing countries, so more capacity building is needed at that
level. Also, more political will is needed to gather gender statistics, as it
is not always a priority in some countries, even if statistical systems are in
place. And finally, there is also the problem that good gender data may exist
but it is not being used or analysed. This summer, in July, the U.S. government
announced a new initiative called Data 2X, which will contribute to strengthen
the international capacity to produce and analyse data, including gender data,
and the World Bank launched the Gender
Data Portal, a clearinghouse of all the gender-related statistics and
analysis carried by the bank. Both initiatives were launched at the “Evidence and Impact:
Closing the Gender Data Gap” conference hosted by the U.S. Department of
State and Gallup.
The Data 2X initiative will work towards ensuring that data producers and users train in gender-sensitive techniques and gather key data organisations such as the UN, the World Bank, the OECD, PARIS21 and Gallup to develop a roadmap on how to fill the priority gaps in gender-sensitive data.
The new Gender Data Portal, which will be continuously updated as new data comes, allows users to create maps, figures and charts using country-level data, and also highlights huge gender data gaps – for example there is no data on wage gaps in developing countries, because of the lack of comparable data across these countries, and there is little data measuring women’s voice and agency beyond women’s representation in national parliaments.
The Data 2X initiative will work towards ensuring that data producers and users train in gender-sensitive techniques and gather key data organisations such as the UN, the World Bank, the OECD, PARIS21 and Gallup to develop a roadmap on how to fill the priority gaps in gender-sensitive data.
The new Gender Data Portal, which will be continuously updated as new data comes, allows users to create maps, figures and charts using country-level data, and also highlights huge gender data gaps – for example there is no data on wage gaps in developing countries, because of the lack of comparable data across these countries, and there is little data measuring women’s voice and agency beyond women’s representation in national parliaments.
At the conference, World Bank Group President Jim Yong Kim also
insisted on the need to direct the data back towards developing countries:
“By making country data accessible, we can help
empower men and women in the real world to become agents of change. This is
important, because it’s only with sufficient country demand for better gender
equality that we will ultimately succeed.”
Jim Yong Kim, Remarks
on “Evidence and Impact: Closing the Gender Data Gap", 19 July 2012
Let’s hope that this new data push will soon lead to visible
positive changes for our societies. We need to make sure women are counted to
fully capture their contributions to a country’s economy or to global
stability, and so that we know where aid should be allocated to accelerate
progress towards development goals. This goes without saying that efforts
should also start at local level and women and girls should play a central role
in the process of identifying gender-sensitive indicators.
Estelle Loiseau
Gender Team, OECD Development Centre
Estelle Loiseau
Gender Team, OECD Development Centre
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