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This section examines
the progress of countries in reducing poverty in its income and
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income
dimensions and in improving the welfare
of their people. Evidence confirms that
expanding economic opportunities for
poor people—through pro-poor growth
policies—raises their incomes. The key
to expanding their economic
opportunities is to help them build up
their assets. Human capabilities such as
health and education are of intrinsic
value and also have powerful effects on
material well-being. Broad access to
such basic infrastructure as clean water
and adequate sanitation is also
important to the material prospects of
poor people. And a range of public
interventions, such as old-age pensions
and unemployment insurance, can reduce
their vulnerabilities.
The challenge for
governments: formidable. The tables in
this section track the progress of
countries in reducing poverty and
improving human capital. The expanded
table on poverty (table 2.5) shows the
poverty levels prevailing in countries
and the longer term trends for regional
and income groups. Other tables provide
information on population size and
growth, labor force participation, and
employment by economic activity.
Information is also available on the
vulnerabilities in populations and
government efforts to alleviate those
vulnerabilities. The tables also provide
information on improvements in education
and health and some clues to remaining
and emerging challenges. Together, the
tables identify a country’s
accomplishments and the tasks that still
lie ahead.
The third
Millennium Development Goal: Promote
gender equality and empower women
Gender issues are highly relevant to
achieving all the Millennium Development
Goals, from reducing poverty and hunger
to protecting the environment. Because
the Goals are mutually reinforcing,
progress toward gender equality will
advance other Goals, while success in
achieving other Goals will positively
affect gender equality. The target for
the third Goal is to achieve gender
parity in primary and secondary
education, preferably by 2005 but no
later than 2015, and in tertiary
education by 2015. The indicator for
monitoring progress toward this target
is the ratio of female to male gross
enrollment rates in primary, secondary,
and tertiary education.
What do the statistics tell us about
gender and equality? The 2005 milestone
year for this goal is already upon us,
so we need to map countries’ progress.
But a three-year delay in the production
of education statistics and a lack of
baseline and recent data in many
countries make it impossible to assess
with certainty how many countries will
have achieved gender equality in
education. The most recent data refer to
the school period 2002/03. So
conclusions about where countries stand
in 2005 are based on the progress
between 1990 and 2002 and on hypotheses
of what would happen if progress
continued at the same rate.
The data show that the prospects for
achieving gender equality in education
vary considerably between educational
levels and regions. There has been more
progress in gender equality in primary
school enrollments than in secondary and
tertiary enrollments (figure 2a). Still,
more than a third of developing
countries will not achieve gender parity
in primary school enrollments this year,
and most of them risk not meeting the
target in 2015 if they do not take
immediate action to increase girls’
school attendance. The risk is greatest
for Sub-Saharan Africa and South Asia,
the regions reporting the slowest
progress in closing the gender gap in
primary schooling.
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2a |
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Progress
toward gender parity in primary,
secondary, and tertiary education is
uneven across regions |
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Share of countries in each regions,
around 2002(%) |
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Source: UNESCO and
World Bank staff estimates. |
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Fewer than 30 percent of developing
countries have made enough progress in
the last 15 years to achieve gender
parity in secondary enrollments by 2005,
and only 40 percent are expected to
achieve this target by 2015 without
stronger efforts to increase boys’ and
girls’ enrollment in secondary education
(figure 2b). Countries in South
Asia and Sub-Saharan Africa are
seriously off track. And on current
trends only 9 percent of developing
countries are making enough progress to
achieve gender equality in tertiary
education by 2015. |
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2b |
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Achieving equal access to education for boys and girls leads to
progress toward the goal |
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Source: UNESCO. |
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Even
though the first target for the third Millennium
Development Goal has not been met
globally, in the two regions with the
deepest educational inequality an
impressive number of countries have
achieved it for primary education. In
Sub-Saharan Africa they include
Botswana, Mauritius, Namibia,
Seychelles, Tanzania, and Uganda, and in
South Asia, Sri Lanka. Several other
countries are working to increase intake
rates to make school accessible to
previously unenrolled populations. But a
lack of recent data on enrollments makes
it difficult to monitor whether these
actions are working.
Equally difficult is
to assess accurately where individual
countries stand in relation to the
target, because measuring the dynamics
of education and gender is highly
complex. Several technical and
conceptual factors are responsible for
this. First, the data for gender
equality in education come from two
sources: enrollment data from school
censuses reported by education
ministries and national agencies, and
estimates of the school age population
based commonly on population censuses
and population estimates and
projections. The reliability of
enrollment data collected through school
censuses is suspect in some countries
because of over reporting, perhaps linked
to financial incentives or other factors.
And the lack of reliable population
estimates biases enrollment rates, with
the extent and direction of the bias
unclear (box 2c). |
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2c
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Population estimates and enrollment rates |
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Population
estimates are generally based on
extrapolations from the most
recent census—and are the
product of demographic modeling.
Extrapolations are uncertain
because the present demographic
situation is not known
perfectly, and future trends of
births, deaths, and net
migration, even in the very
short term, are subject to
unpredictable influences.
Errors in projecting population totals are generally
accompanied by errors in the
sizes of particular age groups.
Projections of younger and older
age groups tend to be unreliable
because of age-heaping and
underenumeration of children,
particularly of girls and women
in countries where gender
inequality remains pervasive.
How does this
affect enrollment rates? Used as
a denominator, population
estimates bias enrollment rates,
with the extent and direction of
the bias often unknown. Efforts
are made to adjust for the bias,
but as noted above, models may
miss important demographic
events. Three other conceptual
and technical issues relating to
population that affect
enrollment rates, especially
their international
comparability, are de facto
versus de jure enumeration,
completeness of coverage, and
availability and recency of
population data. |
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indicator is only an approximation of
gender differences in school enrollment
among school-age children. As such, it
can overestimate or underestimate the
extent of gender inequalities, but the
size of the error is difficult to assess.
Two factors, in particular, affect the
accuracy of the ratio of female to male
gross enrollment rates as a measure of
gender inequality: |
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Third, the indicator
does not reflect how many of the girls
and boys who should be in school are
actually attending school. Improvements
in the gender ratio can result from an
increase in girls’ school attendance or
a decrease in boys’. In Cambodia, for
example, the ratio of girls to boys in
secondary school increased from 0.43 in
1990 to 0.60 in 2001. The improvement
was the result not of an increase in
girls’ gross enrollment—it fell from 19
percent to 17 percent—but of a marked
decrease in boy’s enrollment, which fell
from 45 percent to 27 percent.
This analysis
demonstrates the urgency to take action
on two fronts as countries endeavor to
achieve this target by 2015.
What needs to be
done
Promoting gender equality in education
requires addressing the conditions that
prevent girls and boys from attending
school. Evidence shows that
scholarships, lower fees, and subsidies
in the form of food and cash transfers
conditional on school attendance
increase girls’ and boys’ enrollment
rates. They also reduce the probability
of dropping out of school and close
gender gaps in school attainment. In
countries where girls are less likely
than boys to attend school, these
subsidies have a larger effect on girls’
attendance than on boys’, even when
girls are not targeted. Subsidies are
even more effective in reducing gender
disparities in schooling when they are
directed to girls. For example, the
Female Secondary School Assistance
Program in Bangladesh paid tuition and
stipends directly into a national bank
for all girls attending school for at
least 75 percent of the school year. An
assessment of the pilot phase shows that
girls’ secondary enrollment in the
program area rose from 27 percent to 44
percent in five years—more than double
the national average increase (World
Bank 2001).
Equally important is
the need for countries to implement
standardized concepts and methodologies
of data collection. This is likely to
place a stress on poor countries with
weak administrative systems. Generally,
statistical capacity is low in
low-income countries, but several
low-income countries have sustainable
statistical capacity, including Albania,
Armenia, India, Nicaragua, and Senegal
(figure 2d). |
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2d |
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Sustainable statistical capacity is possible in low-income countries |
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Source: World Bank. |
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Building capacity
for monitoring progress
Countries acknowledge the role of
reliable and timely data, both for
analyzing, evaluating, and monitoring
the effectiveness of current and longer
term policies and for reporting to the
international development community on
country progress on international
initiatives such as the Millennium
Development Goals. A sophisticated
international statistical system has
been developed over the years by the
international community. This system
relies considerably on data originated
in national statistical systems, many of
which are institutionally weak and
undervalued.
Managing for results
and monitoring the Millennium
Development Goals generate demand that
may result in trapping these systems in
a vicious spiral of underperformance,
domestic underfunding, and conflicting
donor agendas. An effective and efficient
national statistical system, providing
the data needed to support better
policies and to monitor progress, needs
to be put in place before further
demands are made by the international
community. |
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Key gender performance indicators |
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The third
Millennium Development Goal
recognizes that promoting gender
equality and empowering women
involves more than gender parity
in education enrollments. Three
additional indicators are
proposed to obtain a more
rounded assessment:
• Ratio of literate women to men 15 to 24 years old.
• Share of women in wage employment in the nonagricultural
sector.
• Proportion of seats held by women in national parliaments.
No targets were set for these indicators, and progress has
been slow, especially in women’s
participation in nonagricultural
employment and in parliament
(table 1.5).
All the Goal 3 indicators still fail to capture many
important dimensions of gender
equality and women’s
empowerment. Working women have
less social protection and fewer
employment rights than do men.
In some countries as many as
40 percent of women have been
victims of physical violence by
an intimate partner. More than
500,000 women die each year in
pregnancy and childbirth. And
rates of HIV/AIDS infection
among women are rapidly
increasing. To eliminate other
gender inequalities in society,
women must enjoy equal rights
with men, equal economic
opportunities, use of productive
assets, freedom from domestic
drudgery, equal representation
in decision making bodies
(including those at the local
level), and freedom from threats
of violence and coercion (UN
Millennium Project 2005).
There is, therefore, strong support in the international
development community for
supplementing the four
indicators. The UN Millennium
Project Task Force on Education
and Gender Equality identified
seven strategic priorities for
empowering women and redressing
gender differences and proposed
12 indicators to monitor
progress (see table).
Measuring and monitoring these proposed indicators will pose
an additional challenge for both
countries and the specialized UN
agencies. Countries need to
develop capacity within line
ministries to collect and
analyze the recommended data and
to set up or expand coordination
mechanisms across ministries. UN
specialized agencies need to
work with bilateral and
multilateral partners to develop
improved methodologies and
systems for the national
production of these statistics. |
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| Proposed indicators to monitor progress in achieving the third Millennium Development Goal |
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Data source |
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Ensure universal primary education and strengthen opportunities for
post primary education
• Ratio of female to male gross enrollment rates in primary,
secondary, and tertiary education*
• Ratio of female to male completion rates in primary, secondary,
and tertiary education |
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United Nations Educational, Scientific and Cultural Organization |
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Guarantee sexual and reproductive health and rights
• Proportion of contraceptive demand
satisfied
• Adolescent fertility rate |
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Specialized household
surveys
—Demographic and Health Surveys
(DHS), Multiple Indicator Cluster Surveys—and United Nations
Population Fund |
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Invest in infrastructure to reduce women’s and girls’ time burden
• Hours per day (or year) women and men spend fetching water and collecting fuel |
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Time-use surveys and certain household surveys such as Living
Standards Measurement Study (LSMS) surveys |
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Guarantee women’s and girls’ property rights and inheritance
• Land ownership by male, female, and jointly held
• Housing title, disaggregated by male, female, and jointly held |
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Land registry and certain household surveys such as LSMS
UN-HABITAT project, housing titles registry, and certain household surveys such as LSMS |
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Eliminate gender inequality in employment
• Share of women in employment, both wage and self-employed, by type
• Gender gaps in earnings in wage and self-employment |
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International Labour Organization (ILO), Women in Informal Employment: Globalizing and Organizing (WIEGO), and labor force and household surveys such as LSMS
ILO, labor force surveys, and certain household surveys |
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Increase women’s share of seats in national parliaments and local government bodies
• Percentage of seats held by women in national parliament*
• Percentage of seats held by women in local government bodies |
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Inter-Parliamentary Union |
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Combat violence against women
• Prevalence of domestic violence |
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United Cities and Local Governments, DHS, World Health Organization multicountry study on women’s health and domestic violence, and other national surveys with similar methodologies |
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* Current Millennium Development Goal indicators.
Source: UN Millennium Project 2005. |
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