Where Men & Women Are Most & Least Likely To be Friends – Brilliant Maps

All
the
maps
featured
here
come
from
the
article:

Cross-Gender
Social
Ties
Around
the
World
By
Michael
Bailey,
Drew
Johnston,
Theresa
Kuchler,
Ayush
Kumar,
Johannes
Stroebel
and
its

annex.

Here’s
a
summary
of
the
data
used:

Here,
we
introduce,
analyze,
and
publicly
release
a
new
global
dataset
on
cross-gender
friendship
links
at
the
sub-national
level
for
nearly
200
countries
and
territories.
Our
measures
are
based
on
more
than
1.38
trillion
social
ties
observed
between
over
1.8
billion
users
on
Facebook,
a
global
online
social
networking
service.

The
aggregated
data
is
available
for
download
at
the
HDX
(https://data.humdata.org/dataset/cross-gender-ties).

Summary
of
the
article
itself

The
paper
“Cross-Gender
Social
Ties
Around
the
World”
used
a
large-scale,
global
dataset
on
how
men
and
women
form
social
ties,
using
data
from
over
1.8
billion
active
Facebook
users
aged
18
to
65,
capturing
more
than
1.38
trillion
friendship
links.

• 
  Cross-Gender
  Friending
  Ratio
  (CGFR):
  This
  core
  measure
  compares
  how
  frequently
  men
  befriend
  women
  compared
  to
  how
  frequently
  women
  befriend
  women.
  Most
  locations
  have
  CGFRs
  below
  1,
  meaning
  men,
  on
  average,
  have
  fewer
  female
  friends
  relative
  to
  women’s
  share
  of
  female
  friends.
  There’s
  wide
  global
  and
  within-country
  variation
  (for
  example,
  in
  India
  versus
  Kenya
  or
  north
  versus
  south
  Italy).
  :
• 
  Role
  of
  Tie
  Strength:
  People’s
  closest
  friendships
  are
  somewhat
  less
  segregated
  by
  gender.
  Among
  “top
  25”
  friendships—often
  family
  members—there
  is
  more
  cross-gender
  interaction
  than
  among
  looser,
  weaker
  ties.
• 
  Regional
  Differences:
  Sub-nationally,
  East
  Germany
  shows
  higher
  cross-gender
  connectedness
  than
  West
  Germany;
  in
  the
  U.S.,
  differences
  are
  less
  pronounced
  overall
  but
  are
  higher
  in
  more
  diverse
  counties.
  In
  India,
  many
  regions
  exhibit
  heavily
  segregated
  networks
  except
  in
  some
  northeastern
  states.
• 
  Correlation
  with
  Gender-Related
  Indicators:
  Globally,
  higher
  CGFR
  values
  align
  with
  narrower
  gender
  gaps
  in
  labor
  force
  participation.
  Survey
  data
  (e.g.,
  World
  Values
  Survey)
  also
  shows
  that
  localities
  with
  higher
  CGFR
  have
  more
  egalitarian
  beliefs
  on
  women’s
  education
  and
  political
  rights.
• 
  U.S.
  County-Level
  Findings:
  In
  the
  U.S.,
  higher
  CGFR
  tends
  to
  appear
  in
  counties
  with
  lower
  shares
  of
  White
  residents,
  lower
  religious
  adherence,
  higher
  female
  labor
  force
  participation,
  and
  higher
  educational
  attainment.
  Counties
  with
  a
  higher
  percentage
  of
  White
  residents
  or
  more
  religious
  congregations
  tend
  to
  show
  more
  gender-segregated
  social
  networks.

Below
you
can
see
the
maps
for
different
regions.
They
all
use
the
same
scale
so
you
maps
are
comparable
between
regions.

Europe

North
America

South
America

Africa

Middle
East

Australia
&
New
Zealand

South
Asia

East
Asia

South
East
Asia

Maritime
South
East
Asia

Which
area
surpised
you
the
most?

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Author: Brilliant Maps