New research from Accenture and Girls Who Code shows that the gender gap in computing is getting worse and has severe implications for the U.S. economy. If we act now, we can triple the number of women in computing by 2025. Let’s #CrackTheCode. Learn more at www.accenture.com/CrackingTheGenderCode.
GET 3X MORE WOMEN
IN THE U.S.TODAY.
But women’s share of the U.S. computing workforce will continue to
DECLINE FROM 24% TO 22% IN THE NEXT 10 YEARS UNLESS WE
TAKE ACTION NOW.
IS ALREADY CHALLENGING U.S.BUSINESSES.
In 2015, there were 500,000 new computing jobs but fewer than
40,000new computer science graduates to fill them.
This shortage is a fundamentaleconomicchallengefortheU.S.
economy and its global competitiveness.
SHARE OF THE COMPUTING
24% TO 39% BY 2025
and high school
high school and
THE SOONER THE RIGHT STEPS ARE TAKEN,
Girls in junior high have the potential to fill1.6millionextra
computingpositions by 2025.
That’s69%ofthetotalincrease in the female computing workforce.
The report identifies which factors make the most
difference at each stage of a girl’s educational journey.
for girls (+25%)
Inspiring teacher (+16%)
Computing is ‘cool’ (+11%)
No friends studying
Not enjoyable (-31%)
Positive role model (+14%)
IN HIGH SCHOOL
GIRLS ARE 4X MORE LIKELY
to go into computing or coding
as adults if they had early
exposure to games.
73% OF HIGH SCHOOL GIRLS
who were interested in studying
computing had a teacher who
58% OF WOMEN WORKING
IN COMPUTING did not major
in computer science as college
undergraduates. The door to
computing never closes.
ALL OF US. GIRLS AND YOUNG WOMEN, SCHOOLS,
BUSINESSES, NOT-FOR-PROFITS, GOVERNMENT.
Accenture and Girls Who Code carried out in-depth analysis to identify the factors
that most influence decisions on studying and working in computing. This included
qualitative research among girls aged 12-18, undergraduates, young workers, parents
and teachers. We used the results to interview over 8,000 individuals to validate and
quantify the findings. We then created a model to estimate the potential changes
to female participation under a number of scenarios, and to calculate the potential
impact on women’s earnings in the U.S.