Financial systems and development
Financial systems and development
Financial systems and development
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the Demographic <strong>and</strong> Health Surveys, World Bank dence of other forms of retarded <strong>development</strong>.<br />
country data, <strong>and</strong> the U.N. publication Recent Lev- The figures are derived from WHO <strong>and</strong> UNICEF<br />
els <strong>and</strong> Trends of Contraceptive Use as Assessed in 1983. sources <strong>and</strong> are based on national data. The data<br />
For a few countries for which no survey data are are not strictly comparable across countries, as<br />
available, program statistics are used; these in- they are compiled from a combination of surveys<br />
clude Bangladesh, India, <strong>and</strong> several African coun- <strong>and</strong> administrative records <strong>and</strong> other such<br />
tries. Program statistics may understate contracep- sources.<br />
tive prevalence because they do not measure use The summary measures in this table are country<br />
of methods such as rhythm, withdrawal, or absti- figures weighted by each country's share in the<br />
nence, or contraceptives not obtained through the aggregate population.<br />
official family planning program. The data refer to<br />
rates prevailing in a variety of years, generally not Table 29. Education<br />
more than three years prior to the year specified in<br />
the tables.<br />
The data in this table refer to a variety of years,<br />
All summary measures are country data weighted generally not more than two years distant from<br />
by each country's share in the aggregate popula- those specified, <strong>and</strong> are mostly from Unesco.<br />
tion.<br />
However, disaggregated figures for males <strong>and</strong> females<br />
sometimes refer to a year earlier than that<br />
Table 28. Health <strong>and</strong> nutrition<br />
for overall totals.<br />
The data on primary school enrollments are esti-<br />
The estimates of population per physician <strong>and</strong> nursing mates of children of all ages enrolled in primary<br />
person are derived from World Health Organization school. Figures are expressed as the ratio of pupils<br />
(WHO) data. The data refer to a variety of years, to the population of school-age children. While<br />
generally no more than two years prior to the year many countries consider primary school age to be<br />
specified. The figure for physicians, in addition to 6 to 11 years, others do not. The differences in<br />
the total number of registered practitioners in the country practices in the ages <strong>and</strong> duration of<br />
country, includes medical assistants whose medi- schooling are reflected in the ratios given. For<br />
cal training is less than that of qualified physicians, some countries with universal primary education,<br />
but who nevertheless dispense similar medical the gross enrollment ratios may exceed 100 percent<br />
services, including simple operations. The num- because some pupils are younger or older than the<br />
bers include "barefoot doctors." Nursing persons country's st<strong>and</strong>ard primary school age. The data<br />
include graduate, practical, assistant, <strong>and</strong> auxiliary on secondary school enrollments are calculated in the<br />
nurses, as well as paraprofessional personnel such same manner, but again the definition of secondas<br />
health workers, first aid workers, traditional ary school age differs among countries. It is most<br />
birth attendants, etc. The inclusion of auxiliary <strong>and</strong> commonly considered 12 to 17 years. Late entry of<br />
paraprofessional personnel provides more realistic more mature students, as well as repetition <strong>and</strong><br />
estimates of available nursing care. Because defini- the phenomenon of bunching in final grades, can<br />
tions of doctors <strong>and</strong> nursing personnel vary-<strong>and</strong> influence these ratios.<br />
because the data shown are for a variety of years- The tertiary enrollment ratio is calculated by dividthe<br />
data for these two indicators are not strictly ing the number of pupils enrolled in all postcomparable<br />
across countries.<br />
secondary schools <strong>and</strong> universities by the popula-<br />
The daily calorie supply per capita is calculated by tion in the 20-24 age group. Pupils attending<br />
dividing the calorie equivalent of the food supplies vocational schools, adult education programs, twoin<br />
an economy by the population. Food supplies year community colleges, <strong>and</strong> distance education<br />
comprise domestic production, imports less ex- centers (primarily correspondence courses) are inports,<br />
<strong>and</strong> changes in stocks; they exclude animal cluded. The distribution of pupils across these diffeed,<br />
seeds for use in agriculture, <strong>and</strong> food lost in ferent types of institutions varies among countries.<br />
processing <strong>and</strong> distribution. These estimates are The youth population, that is 20 to 24 years, is used<br />
from the FAO.<br />
as the denominator since it represents an average<br />
The percentage of babies with low birth weights tertiary level cohort. Although in higher-income<br />
relates to children born weighing less than 2,500 countries, youths age 18 to 19 may be enrolled in a<br />
grams. Low birth weight is frequently associated tertiary institution (<strong>and</strong> are included in the numerawith<br />
maternal malnutrition, <strong>and</strong> tends to raise the tor), in both low- <strong>and</strong> middle-income <strong>and</strong> highrisk<br />
of infant mortality <strong>and</strong> to lead to poor growth income economies, many people older than 25<br />
in infancy <strong>and</strong> childhood, thus increasing the inci- years are also enrolled in such institutions.<br />
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