Financial systems and development
Financial systems and development
Financial systems and development
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also the one used within the global comparison. Table 31. Urbanization<br />
However, a significantly different relationship The data on urban population as a percentage of total<br />
(based on Central European prices) prevails in the population urban fortioming of totacomparison<br />
within that group, <strong>and</strong> this is the rela- population are from the forthcoming U.N. publicationship<br />
presented in the separate publication of tion, The Prospects of World Urbanization, supplethe<br />
European comparison.<br />
mented by data from the World Bank.<br />
For further details on the ICP procedures, read- The growth rates of urban population are calcuers<br />
may consult the ICP Phase IV report: World lated from the World Bank's population estimates;<br />
Comparisons of Purchasing Power <strong>and</strong> Real Product for the estimates of urban population shares are calcu-<br />
1980 (New York: United Nations, 1986). lated from the sources cited above. Data on urban<br />
The income distribution data cover rural <strong>and</strong> urban agglomeration in large cities are from the U.N. Patareas<br />
<strong>and</strong> refer to different years between 1970 <strong>and</strong> terns of Urban <strong>and</strong> Rural Population Growth, 1980.<br />
1986. The data are drawn from a variety of sources, Because the estimates in this table are based on<br />
including the Economic Commission for Latin different national definitions of what is urban,<br />
America <strong>and</strong> the Caribbean (ECLAC), Economic cross-country comparisons should be interpreted<br />
<strong>and</strong> Social Commission for Asia <strong>and</strong> the Pacific with caution. Data on urban agglomeration in<br />
(ESCAP), International Labour Office (ILO), the large cities are from population censuses, which<br />
Organisation for Economic Co-operation <strong>and</strong> De- are conducted at five- or even ten-year intervals.<br />
velopment (OECD), the U.N. National Account Sta- The summary measures for urban population as a<br />
tistics: Compendium of Income Distribution Statistics, percentage of total population are calculated from<br />
1985, the World Bank, <strong>and</strong> national sources. country percentages weighted by each country's<br />
In many countries the collection of income distri- share in the aggregate population; the other sumbution<br />
data is not systematically organized or inte- mary measures in this table are weighted in the<br />
grated with the official statistical system. The data same fashion, using urban population.<br />
are derived from surveys designed for other purposes,<br />
most often consumer expenditure surveys, Table 32. Women in <strong>development</strong><br />
that also collect some information on income.<br />
These surveys use a variety of income concepts This table provides some basic indicators disaggre<strong>and</strong><br />
sample designs, <strong>and</strong> in many cases their geo- gated to show differences between the sexes to ilgraphic<br />
coverage is too limited to provide reliable lustrate the condition of women in society. It renationwide<br />
estimates of income distribution. flects their demographic status <strong>and</strong> their access to<br />
Therefore, while the estimates shown are consid- some health <strong>and</strong> education services. Statistical<br />
ered the best available, they do not avoid all these anomalies become even more apparent when soproblems<br />
<strong>and</strong> should be interpreted with extreme cial indicators are analyzed by gender, because recaution.<br />
porting <strong>systems</strong> are often weak in areas related<br />
The scope of the indicator is similarly limited. specifically to women. Indicators drawn from cen-<br />
Because households vary in size, a distribution in suses <strong>and</strong> surveys, such as those on population,<br />
which households are ranked according to per cap- tend to be about as reliable for women as for men;<br />
ita household income, rather than according to to- but indicators based largely on administrative<br />
tal household income, is superior for many pur- records, such as maternal <strong>and</strong> infant mortality, are<br />
poses. The distinction is important because less reliable. Currently more resources are being<br />
households with low per capita incomes fre- devoted to developing better statistics on this<br />
quently are large households, whose total income topic, but the reliability of data, even in the series<br />
may be high, while conversely many households shown, still varies significantly.<br />
with low household incomes may be small house- The first four columns show the ratios of females<br />
holds with high per capita incomes. Information to males for the total population <strong>and</strong> for the underon<br />
the distribution of per capita household income five age group. In general, throughout the world,<br />
exists for only a few countries <strong>and</strong> is infrequently more males are born than females. Under good<br />
updated; for this reason this table is unchanged nutritional <strong>and</strong> health conditions <strong>and</strong> in times of<br />
from last year's version. The World Bank's Living peace, male children have a higher death rate than<br />
St<strong>and</strong>ards Measurement Study <strong>and</strong> the Social Di- females, <strong>and</strong> females tend to live longer. In the<br />
mensions of Adjustment project, covering Sub- industrial market economies, these factors have re-<br />
Saharan African countries, are assisting a few se- sulted in ratios of about 103 to 105 females per 100<br />
lected countries to improve their collection <strong>and</strong> males in the general population. The figures in<br />
analysis of data on income distribution.<br />
these columns reveal that there are cases where<br />
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