STATE OF WOMEN IN CITIES 2012-2013 - UN-Habitat

STATE OF WOMEN IN CITIES 2012-2013
Figure 1.2.1
Correlation 1 between SIGI and percentage of the world’s MDP
SIGI Score
equalty inequality
SIGI versus Percentage of the
world’s MDP
0.6
0.5
MDP
0.4
Linear (MDP)
0.3
R 2 =0.430
0.2
0.1
0
0 0.2 0.4
Percentage of the world’s MDP
SIGI Score
equalty inequality
0.6
0.4
0.2
SIGI versus Percentage of
the world’s MDP
[excluding LAC & MENA 3 ]
MDP
R 2 =0.430
0
0 0.2 0.4
Percentage of the world’s MDP
Sources: Chant and Datu (2011a), OECD (2009), UNDP (2010)
Notes:
1. Correlation should not be confused with causation. A strong correlation suggests two variables are related, but does not imply that a change in one will automatically induce a
change in the other.
2. The R 2 value is a measure of the linear correlation of the variables. A value of 0 indicates no relationship while 1 indicates a perfect linear relationship.
3. LAC refers to Latin America and the Caribbean, MENA to Middle East and North Africa
Women returning home with laundry, Mexico.
© UN-Habitat
These include a quantification of gender-differentiated
domestic labour and care burdens, as well as registration
of women’s paid work because of its concentration in the
informal economy. 26 Although major progress in improving
the quality of sex-disaggregated statistics has been made,
the lack of gender indicators in all MDGs, and the limited
nature of MDG 3 targets for women compared with the
Beijing Platform for Action (BPFA) of 1995 have provoked
widespread debate and critique. 27
In terms of actual data available, it is not only rare for
data to be sex-disaggregated, but for statistics to be available
for different groups of women (or men) beyond household
headship, for example, along lines of age, ethnicity, migrant
status, sexuality and so on. 28 There are also cases where
relatively little is known about more basic aspects of gender
and urban prosperity, which are technically amenable to
measurement, such as gender differences in land and property
ownership. 29 Data are also scarce in terms of comparing
women and men in relation to urban prosperity in the
wealthier and poorer parts of cities, which usually correspond
with ‘non-slum’ and ‘slum’ settlements respectively. 30 Even
less still is known about transient populations in the city, and
those who live or spend the vast majority of their time ‘on the
streets’. 31
22