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ASi" kUCTURE FlOR DEVELOPMENT

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when social indicators are analyzed by gender be- These time series attempt to bring together readcause<br />

reporting systems are often weak in areas re- ily available information not always presented in inlated<br />

specificaliy to women. Indicators drawn fiom ternational publications. WHO warns that there are<br />

censuses and surveys, such as those on population, inevitablygaps in the series, and it has invited countend<br />

to be about as reliable for women as for men; tries to provide more comprehensive figures. They<br />

but indicators based largely on administrative are reproduced here, fnom the 1991 WHO publicarecords,<br />

such as maternal and infant mortality are tion Maternal Mortality: A Global Facdbook. The data<br />

less reliable. More resources are now being devoted refer to any year from 1983 to 1991.<br />

to developing better information on these topics, The education indicators, based on UNESCO<br />

but the reliability of data, even in the series shown, sources, show the extent to which females have<br />

still varies significantly.<br />

equal access to schooling.<br />

The health and welfare indicators in Table 27 and Percentage of colhort persisting to grade 4 is the perin<br />

the maternal mortality column of Table 29 draw centage of children starting primary school in 1970<br />

attention, in particular, to discrimination affecting and 1987, respectively, who continued to the fourth<br />

women, especially very young girls, and to the con- ggrade by 13 and 1990. Fgures in italics represent<br />

ditions associated with childbearing.Childbearing -earlier or later cohorts. The data are based on enstill<br />

cames the highest risk of death for women of rollment records. The slightly higher persistence<br />

reproductive age in developing countries. The indi- ratios for females in some African countries may<br />

cators reflect, but do not measure, both the availabil- indicate male partcipation in activities such as anity<br />

of health services for women and the general imal herding.<br />

welfare and nutnrtonal status of mothers. . All things being equal, and opportunities being<br />

Life expectmcy at birth is defined in the note to . the same, the ratios for females per 100 males should<br />

Table I.<br />

be dose to 100. However, inequalities may cause the<br />

Matera mortalty refers to the number of female ratios to move in different directions. For example,<br />

deaths that occur during childbirth per 100,000 live the number of females per 100 males wil rise atsecbirths<br />

Pxcause deaths during childbirth are defined ondary school level if male attendance declines<br />

more widely in some countries to include complica- more rapidly in the final grades because of males'<br />

d.ons of pregnancy or the period after childbirth, or greater job opportunities, conscription into the<br />

of abortion, and because many pregnant women die army, or migration in search of work In addition,<br />

from lack of suitable health care, maternal mortality since the numbers in these columns refer mainly to<br />

is difficult to measure consistently and reliably - general secondary education, they do not capture<br />

across countries. The data are drawn from diverse those (mostly males) enrolled in technical and vocanational<br />

sources and collected by the World Health tional schools or in fulI-time apprenticeships, as in<br />

Organization (WHO), although many national ad- EastenEurope<br />

ministrative systems are weak and do not record Females as a paretage of total laborforce, based on<br />

vital events in a systematic way The data are de- ILO data, shows the extent to which women are<br />

rived mostly from official community reports and "gainfuly employed" in the formal secor. These<br />

hospital records, and some reflect only deaths in numbers exclude homemakers and other unpaid<br />

hospitals and other medical institutions Sometimes caregivers and in seveal developing countries resmaller<br />

private and rural hosmitals are exduded, flect a significant underestimate of female participaand<br />

sometimes even relatively pnrmitire local facii- tion rates.<br />

ties are included. The coverage is therefore not al- All summary measures are country data<br />

ways comprehensive, and the figures should be weighted by each country's share in the aggregate<br />

treated with extreme caution.<br />

population or population subgroup.<br />

Clearly, many maternal deaths go unrecorded,<br />

-. - .partiularly in countries with remote rural popula- Table 30. Income distribution and FPP estimates<br />

dions. This acoDunts for some of the very low num- of GNP<br />

bers shown in the table, especially for seireral The first columns report distribution of income or<br />

African oDuntries. Moreover, it is not dear whether expenditure accruing to percentile groups of housean<br />

increase in the number of mothers in hospital re- holds ranked by total household income, per capita<br />

flects more extensive medical care for women or income, or expenditure. The last four columns conmore<br />

complications in pregnancy and childbirth be tain estimates of per capita CNP based on purchas<br />

cause of poor nutrition, for instance C(Table 27 ing power parities (PPPs) rather than exchange rates<br />

shows data on low birth weighL)<br />

(see below for the definition of the PPP).<br />

244

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