A study of differential fertility in Brazil ..

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A study of differential fertility in Brazil ..
Added title page title:
Differential fertility in Brazil
Saunders, John, 1930-
Place of Publication:
Gainesville, Fla.
University of Florida
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Subjects / Keywords:
Age groups ( jstor )
Birth rates ( jstor )
Censuses ( jstor )
Fertility ( jstor )
Fertility rates ( jstor )
Rural populations ( jstor )
Urban populations ( jstor )
Vivipary ( jstor )
White people ( jstor )
Women ( jstor )
Dissertations, Academic -- Sociology -- UF ( lcsh )
Fertility ( lcsh )
Sociology thesis Ph. D ( lcsh )
Statistics, Vital -- Brazil ( lcsh )


Dissertation (Ph.D.)--University of Florida, 1955.
Bibliography: . 154-159.
General Note:
Manuscript copy. Typed on one side of leaf only.
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University of Florida
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University of Florida
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Copyright [name of dissertation author]. Permission granted to the University of Florida to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
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Full Text






August, 1955











- 19 50


The materials contained in the following pages are the result of

a long-standing interest in Brazil. This interest was acquired as the

result of many years of residence in that country, and has been stinu-

lated by a concentration in Latin American and Brazilian studies in

my undergraduate and graduate academic career.

I should like to express my gratitude especially, to Dr. T. Lynn

Smith, the Mestre to his Brazilian students, who provided me with the

stimulus to pursue my graduate studies beyond the M.A. level, and who

through friendly guidance and wise counsel, contributed greatly not

only to what merits this study may have, but also to the essential

preparation necessary for its undertaking.

I also owe a debt of gratitude to Dr. Winston W. Ehrmann, and to

Dr. John M. Maclachlan, who at all times have shown a friendly interest

in my work and progress, and from whom I have had much to learn. To

Dr. Raymond E. Crist, Dr. A. Curtis Wilgus, and Dr. Donald E. Worcester,

I am grateful for the interest they have shown in me and for their


To my wife, Julia Vissotto Saunders, I wish to express my

appreciation of the many hours she spent aiding in the various pains-

taking and laborious tasks involved in the preparation of a manuscript

of this kind, and who always had a word of encouragement and good cheer.

Thanks are due as well to Mr. Joe Sardo, who made helpful sug-

gestions for the preparation of maps, and to Mrs. Agnes Philpot, who

undertook the task of preparing this manuscript in final typewritten


An expression of appreciation is due to the University of Florida,

that through its Graduate School provided me with a fellowship that

enabled me to devote full-time attention to the task of preparing this

dissertation; and to the Brazilian Institute of Geography and Statis-

tics (I. B. G. E.), that has been generous in providing me with many

of the essential materials necessary for this study. To ry many friends

on two continents who have lent their moral support to this task, I

am also thankful.

In conclusion, I would like to express the hope that I have been

half as successful in this undertaking as John Graunt, who in dedicating

his Natural and Political Observations Made Upon the Bills of Mortality

to the Right Honourable John Lord Roberts, Baron of Truro, Lord Privie

Seal, and "one of His Majestie's most Honourable Privie Council," said:

Now having (I know not by what accident) engaged my thoughts
upon the Bills of Mortality, and so far succeeded therein as to
have reduced several great confused Volumes into a few perspicuous
Tables, and abridged such Observations as naturally flowed from
then, into a few succinct Paragraphs, without any long series of
multiloquious Deductions, I have presumed to sacrifice these my
small, but first published Labours unto your Lordship...



MAP OF BEAZIL, 1950. . . . ... .. 1

PREFACE . . . . . . . . . . . iii

LIST OF TABLES . . ... . . . .. vi

LIST OF FIGURES . . .. . . . .. . . ix


I. INTRODUCTION . . . . . 1








BIBLIOGRAPi ... . . . . . . . 154



1. Crude Birth Rates for Areas of the World Having
Complete or Nearly Co:r.plete Birth Registration,
1950 . . . . . . . . . . . .

2. Fertility Ratios for Major World Areas Exclusive
of Latin America, and for Brazil . . . .

3. Fertility Ratios for the Various Latin American
Countries . . . . . . . .

4. The Growth of the Brazilian Population, 1900-1950.

5. Percentage of the Brazilian Population Classified
as Urban, Suburban and Rural, by States, 1950. .

6. Fertility Ratios for the Mf.nicipios Containing the
Capital Cities, Brazil, 1950, by States. . . .

7. Sex Ratios Among Specified Age Groups in the tu-
nicipios of Bahia Which Had the Highest and Low-
est Fertility Ratios, 1940 . . . . .

3. Proportions of Females Ma.rried Among Specified
Age Groups in the IMnicipios of Bahia Which Had
the Highest and Lowest Fertility Ratios, 1940. .

9. Fertility Ratios for the Municipio Containing the
State Capital and the Remainder of the State,
1920, 1940 and 1950 . . . . . .

10. Infant Mortality in the Federal District, 1939-
1950 . . . . . . . . . . . .

11. Probability of Death and Life Expectancy for Ages
0, 1 and 5, in the Federal District, 1939-1941,
1950 . . . . . . . . . . . .

12. Infant Mortality in Five State Capitals, 1940-1950

13. The Population of Brazil Classified According to
Color, 1940 and 1950 . .. . . . . . .

14. The Population of Brazil Classified as Black, by
States, 1940 and 1950 . . . . . .


S. 32

. 35

. 37

. 39

. 49

. 54

* .

. .

* .

. .

. .

. .

* .

. 0

LIST OF TABLES continued



The Population of Brazil Classified as White, by

States, 1940 and 1950

. . . 0 * . *













Fertility Ratios for the Various Color and Resi-
dential Categories in the Population,
1950, by Regions . . . . . . . .

A Comparison of the Magnitude of the Fertility
Ratios for the Color and Residential Categories
of the States and Regions, With the Magnitude
of the Fertility Ratios for the Color and Resi-
dential Categories of the Nation as a Whole,
1950. Brazil = 100 . . . . . . .

Live Births per 100 Women 12 and Over, and
Live Births per 100 Women 12 and Over Report-

. . 92

. . 95

* S

. 0 0

0 5 0

. 0 0

* 0

* 5

. 0 0

* 5 0
. .

. .

ing Live Girths, Compared With the Fertility Ratio,
by Regions and States, Brazil, 1940.
Brazil = 100 . . . . . . . . . *

Population of Brazil Classified According
to Color, 1950, by States . . . .

Fertility Ratios for the Various Color Cate-
gories in the Population, 1950, by States .

Fertility Ratios for the Various Color Cate-
gories in the Population, 1940, by States .

Fertility in Relation to Race, Rio de Janei-
ro, 1390 . . . . . . . .

Fertility Ratios by Residence and Race,
Brazil, 1950, by States . . . . .

Fertility Ratios by Residence and Race,
Brazil, 1940, by States . . . . . .

Percentages in the Racial Groups, Brazil,
1872, 1900, 1940 and 1950 . . . . .

Fertility Ratios by States, Brazil, 1950 . .












LIST OF TABLES continued

Number of Children Residing With Their Frailies,
According to the Nativity and Occupation of
the Family Head, Comzpared With the Number of
Children Residing With Their Families in the State
as a Whole, Sao Paulo, 1950 . . . . . .







. . . 0 .

. . 0 . .

. . 0 0

. 0 0 . .



Fertility Ratios for Religious Groups,
by States, Brazil, 1950 : . . .

Spiritualists in the Municipio Contain-
ing the Capital as a Proportion of the
Total Number of Spiritualists in the
State, and Fertility Ratios for
Spiritualists, by States, Brazil, 1950 .

The Color Composition of Socio-Economic
Classes in Recife, Brazil . . . .

Comparison of Size of Family in Superior
and Lower Classes for Groups in Brazil .








1. Minimum Estimated Under-Registration of Births,
by States, Brazil, 1939-1941 . . . . .

2. The Level of Fertility by Residence and States,
1950 . . . . . . . . . . . .

3. The Distribution of the Fertility Ratio in Sao
Paulo, by Municipios, 1950 . . . . .

4. The Distribution of the Fertility Ratio in Bahia,
by Municipios, 1940 . . . . . . .

5. Origin of Migrants Lodged at the Hospedaria in
Sao Paulo, 1935-190 . . . . . . .

6. Distribution of Estimated Birth Rates in Santa
Catarina, 1940 . .. . . . . .

7. Racial Distribution of the Population of
Brazil, by States, 1940 . . . . . . .

8. The Level of Fertility by Race and States, Brazil,
1950 . . . . . . . . . . . .


* 0

S. 51

. 55

. 58

. 61

. 68

. 99

. 104



The study of the different rates at which various segments of a

population reproduce, is one of the most significant aspects of deno-

graphic analysis. It greatly aids in the understanding of the mahe-up

of a people, and in the prediction of the "demographic" future.

Differentials in fertility appear to have existed for many centuries.

Only in relatively recent times, however, has it become possible to

study those differentials effectively, through the use of quantitative

mass data.

Brazil occupies approximately one-half of the land mass of the

South American continent. It contains about one half of its population.

One third of the territory, and one third of the population of the

entire Latin American area belongs to Brazil. Latin America is rapidly

gaining in numbers and in world importance. Brazil has been setting

the pace. Therefore, analysis of its population, which represents

approximately one third of the total population of the Latin American

nations, is exceedingly important. To know and to understand the

differentials in the growth of the various segments of Brazil's popula-

tion,is to throw light on many of the social processes now in operation

in that nation, and is to get a glimpse of the composition and charac-

teristics of future generations. This study attempts to analyze, and

in so far as possible, to explain, the principal differentials in the

rate of reproduction of the Brazilian people.

The quantitative mass population data, contained in the 1940 and

1950 censuses of the Brazilian population constitute the major sources

of the material used for this study. Valuable supplementary material

employed is duly acknowledged in the text and in footnotes. Of special

value in many phases of this study has been the material contained in

the revised edition of Brazil: People and Institutions, by T. Ivnn Smith.

The measure of fertility most heavily relied on in the analyses

herein contained is the fertility ratio. Ideally, it is calculated by

relating the number of children under 5 to women in the childbearing

ages (15 to 44),1 and multiplying by a constant (100) to eliminate

awkward decimals, thus*

number of children 0-4
number of women 15-4 1

This measure of human reproduction offers a number of advantages

over the crude birth rate, or the number of live births during a one-

year period per 1,000 inhabitants. It does not depend on birth regis-

tration and it standardizes to a great extent for variations in sex

and age composition. On the other hand, the calculation of the ferti-

lity ratio for certain groups in the population, such as educational

and occupational groups, in which mother and child are likely to be in

lit is necessary in dealing with all Brazilian census data to
use either women 15 to 49 or 20 to 49 in computing the fertility ratio.
The number of children under 5 cannot always be obtained. Wherever
possible, children under 5 and women 15-49 have been used in calcu-
lating this ratio. Otherwise, children under 10 and women 20 to 49
are the basis of its calculation.

different categories, is not feasible.2

The crude birth rate is not used in the analysis of differential

fertility in Brazil, because of its extreme unreliability, caused by

widespread under-registration of vital statistics. The writer could

not express the situation with regard to the under-registration of

births in Brazil, better than the anonymous author of the following


Another difficulty /in determining the rate of reproduc-
tion of the racial groups in Brazil/--and :r.ore l entable
because it results fror. the inertia of man and not from the
nature of things--is caused by the failures of our registration
of births and deaths, that are not paralleled in any other
great nation of western civilization. Such is the seriousness
of these failures, that vital registration statistics do not
allow us to know, even with wide appro::inraticn, the total
number of births and deaths. These can only be estimated by
conjectures, with an anple margin of error. Under these condi-
tions, it would be an absurd prevention to obtain birth rates
or death rates for the different ethnic groups.3

The extent to which the registration of births fails in Brazil,

is graphically portrayed by Fig. 1, which presents minimum estimates of

under-registration of births in Brazil by states for the 1939 to 1941

period. In only one state of the federation is the percentage-of

omissions of birth registration estimated at less than 49. There is no

reason to believe that the situation has improved since 1939-1941, or

that the registration of deaths is very much more complete.

2For a full discussion of the I.Aerits and derrerits of the
fertility ratio, see T. Lynn Smith, Population Analysis, (lew York:
McGraw-Hill Book Company, 1943), pp. 193-193.

3I. B. G. E., Estudos de Estatistira Teorica e Aplicada,
Estatistica De-.ogrrfica No. 1L, Estudos Sobre a I.atalidade e a
Mortalidade no Brasil, (Rio de Janeiro: ServiCo Grafico do I. B.
G. E., 1952), 35.

Percent of Omissions

| t EZj Under 49.2 *,*.

49.2 61.1 1

S61.2 73.1

73.2 85.1

S85.2 97.1

; 97.2 over

Fig. 1. Minimum Estimated Under-Registration of Births, by States,
Brazil, 1939-1941. Prepared from data in I. B. G. E., Estudos de
Estatistica Teorica e Aplicada, Estatistica Demografica No. 4
Estimativas da Taxa de Natalidade para o Brasil, as Unidades da
Federacao e as Principais Capitais, (Rio de Janeiro: Servigo
Grfico do I. B. G. E., 194 ), p. 22.



A few comments that will illustrate some of the difficulties

encountered in dealing with the Brazilian census data are in order.

Five-year age groups were given for the first time in the 1950 census.

These are provided only for ages 0 to 20. In order to obtain the

number of children under 5 for the states and territories in 1940, it

is necessary to add the children 0 to 9, male and female, who are

literate, illiterate, and "undeclared". Since children 0 to 4 are

excluded from this tabulation, this sum yields the number of children

5 to 9, which may then be subtracted from the sum of males and fe-

males 0 to 9 in order to obtain the number of children 0 to 4. The

absence of cross-tabulations of racial and residential groups by age

and sex makes it impossible to calculate fertility ratios for such

groups as "urban white" and "rural Negro." Less satisfactory sub-

stitute devices must be employed.

The attempt to obtain a base map for a given state for a census

year is likely to be highly frustrating. Base maps for the states are

dated in late 1945. President Getulio Vargas placed a ban on the

creation of new counties or municipios during his first term in office

(1930-1945). Consequently, just as soon as he went out of power, the

nation erupted in a veritable rash of new municipios. In Sao Paulo

alone 99 new ones were created. Thus the 1945 base maps of the states

do not correspond to the division of the states either in 1940 or

1950. This makes it necessary as was the case for Fig. 4, to compare

the lanicipios in the census with those on the base map, and to make

tedious adjustments in order to match the one with the other.

In citing sources, in those instances where the tables have

been compiled and computed by the writer, this fact is indicated by

the phrase "compiled and computed from data in." Sources for

figures that have been prepared by the writer from data presented in

census or other volumes, are prefaced by the phrase "prepared from

data in." The sources for material that has been taken directly from

a volume, omit these prefatory statements.

The territory of Fernando de Noronha, consisting of a group of

small islands off the northeastern coast of Brazil, and which contained

but 581 persons in 1950, is obviously of no demographic significance,

and is omitted from the analyses. The word raunicipio, the approximate

equivalent of the United States county, is not italicized in the pages

that follow, because Of its frequent occurrence.

For the convenience of the reader who is not overly familiar

with the geographical distribution of the political subdivisions of

Brazil's territory, an outline map of Brazil has been placed following

the title page.



In the following pages the writer attempts a brief review

of some of the principal findings related to differentials in the

rate of reproduction in various parts of the world. The findings

of some pioneering studies are presented first, followed by those

that are pertinent to Europe, Asia, the United States, Latin America

and Brazil. What would be the monumental task of presenting' in detail

the findings of every study having to do with differential fertility

is not attempted. Rather, the writer hopes that the materials in

the following pages will serve as an introduction to the topic of

this dissertation, and will help bring the reader so to speak, up

to the "line of scrimmage."

Pioneering Studies

One of the very earliest of scholars to present materials re-

lating to differential fertility was Giovanni Botero (1540-1617).

His work entitled Della region di stato, libri dieci. Con tre libri

delle causa della grandezza e magnificenza della cita, contains a

number of astute generalizations. Botero believed that fertility is

higher in rural than in urban areas, and that urban growth is prin-

cipally due to rural-urban migration.1

To John Graunt (1620-1674), however, goes a major part of the

1Pitrim A. Sorodin, Carle C. Zimmerman, and Charles J. Galpin,
A Systematic Sourcebook of Rural Sociology, (Minneapolis: The University
of MinnesotalFess, 1930), Vol. 1, rp. 7o-79


credit for laying the foundations of modern demographic theory and

methods. In his Natural and Political Observations Made Upon the Bills

of Mortality, he demonstrated the regularity of the occurrence of births

and deaths. In so doing he laid the foundations of modern demography,

and brought quantitative materials to bear upon the matter of differen-

tial fertility as well as of differential mortality.

The conclusions that he reached regarding differential fertility

are basically sound and are worthy of rather extensive quotation.

We come to shew, why although in the Country the
Christnings exceed the Burials, yet in London they do not.
The general Reason of this must be, that in London the
proportion of those subject to die unto those capable of
breeding is greater then in the Countrey (sic); That is,
let there be an hundred Persons in London, and as many in
the Country; we say, that if there be 60 of them Breeders
in London, there are more than 60 in the Country, or else
we must say, that London is more unhealthful, or that it
enclines men and women more to Barrenness, then the Country,
which by comparing the Burials and Christnings of Hackney,
Newington, and the other Country-Parishes, with the most
Smoaky and Stinking parts of the City, is scarce discernable
in any considerable degree.2

William Petty (1623-1635) in Several Essays in Political

Arithmetic, arrived at much the same conclusions as Graunt con-

cerning rural-urban differentials in fertility. In addition, he

presented materials for Dublin and additional materials for London.3

2John Graunt, Natural and Political Observations Made Upon the
Bills of Mortality, Walter F. Willcox, Ed., (Baltimore: The Johns
Hopkins Press, 1939), pp. 54-55.

3Sorokin, Zimmerman and Galpin, op. cit., pp. 99-100.

Gregory King (1614-1712) in his ;Natur-l Obsrc.r:atios arnd Conclu-

sions Upon the State and Conditions of Engla'd, Ipubish'.: in 1696, cor-

roborated the findings of Graunt and Petty. He further 'de-on-strated

that although a greater proportion is married in London tha in rural

areas, the fertility rer marriage in London vas lower. Arthur Young

in his The Far-er's Letterc to the People of England (176), presented

statistical data to show that urban fertility is hMghe.r t-an rural. :

Johann Peter Sussrilch (1707-1767), in Die gottliche Ordnung in

den Verranderungen des r-n.schlic..n Geschlechts, etc., reached "much the

same conclusions as his predecessors, but argued that the number of

births is about the same in u ,rban and rural families. The rural-urban

differential in fertility, he attributed to higher marriage rates in

rural areas.6


Inasrz-ch as the first studies to be raade of differential fertility

took place in Europe, contemporary findings of demographic studies rela-

ted to differential fertility in that continent, are examired next.

A. M. Carr-Saunders, used materials furnished by the Registrar-

General for En.larj .~ Wales, giving births for 1911 classified

according to the occupations of the father, for the study of socio-

econor ,c 'ifferentials in fertility He ca.:e to the following

4Ibid., p. 101

5Ibid., p. 107.
Ibid., pp. 109-11.


All available evidence goes to support this conclusion,
namely, that the higher the social status, the lower is the
fertility, and that the initial difference is not removed by
subsequent differential mortality. This is apparently true
not only for England but also for other countries in which
the economic situation is similar and is a relatively recent

The same author also stated that in so far as is known, the upper

classes during the Middle Ages were the more fertile, whereas in the

later days of Greece and Rome, the position seemed to be reversed.

Additional support was given to the conclusion reached by

Carr-Saunders by Reuter, who presented data for Paris, Berlin, Vienna

and London, giving birth rates per 1,000 women in the reproductive ages

according to the quality of housing. Persons living in "Very Poor

Quarters" were found to be more fertile than those living in "Poor

Quarters," and these in turn more prolific than those housed in

"Comfortable Quarters," and so on through to "Very Rich Quarters."

The inhabitants of the latter type of housing were found to be the

least fertile. The consistent decline in fertility from the lowest to

the highest type of housing is evidenced in all four cities for which

data was given.9

Further confirmation of the above stated views came from Wright,

7The Population Problem, A Study in Human Evolution, (Oxford:
Clarendon Press, 1922), p. 317.

Ibid., p. 457

9Edward Byron Reuter, Population Problems, (Philadelphia:
J. B. Lippincott Company, 1923), p. 241.

with some qualifications however, that author stated that although

fertility is generally inversely associated with social class and

income, people in certain industries do not conf.Orm to this gradation.

"Textile workers for example, have as few children as the middle

classes _in England /; while miners have the largest number of all--

more than unskilled laborers." The different rate of reproduction

among the social classes was attributed at least in part by that

author, to postponement of marriage among the upper and middle classes,

because of the social pressures requiring greater earnings of the

person with middle or upper class status.

An unskilled or partly skilled workman earns as much
at twenty-one as he is likely to earn when he is forty...
but a lawyer is seldom in receipt of sufficient income
from his profession to maintain a wife and family until he
approaches thirty.10

Other findings pertaining to differentials in the rate of

reproduction in the United Kingdom, are in the Registrar-General's

study (1911) and were reported by Lorimer and Osborn. That study

presented data on the fertility of marriage in relation to occupation,

making use of five broad social classes, with three intermediate ones,

a total of eight. These data reveal that

...even in marriages formed shortly after the mid-point
of the Nineteenth Century marital fertility was somewhat lower
for Class I (professional, business and clerical workers) and
for Class VI (textile workers) than for other professional
groups. But in the more recent marriages, these two classes
show deviations from the general average of all marriages that

10Harold Wright, Population, (New York: Harcourt, Brace and
Company, 1923), p. 114.

are twice as large as the deviations observed in the earliest
marriages included in this series.1

Lorimer and Osborn also supplemented with more recent data,

materials first presented by Heron, who correlated the number of legiti-

nate births per 100 married wo.-en with indices of social status for 1351

and 1901. The results indicated that "at least in the city of London

there was a well defined negative correlation between economic status and

fertility as early as 1851."12

Innes made use of new data contained in the Registrar-General's

Decennial Supplement for 1931 to analyze birth rate differentials by

occupation for 1921 and 1931 in England, and to compare results with

those obtained from the 1911 report. After adjusting the birth rates to

eliminate age differences, he found that whereas in 1921 an inverse status-

fertility association existed for the two highest classes (I and II), in

1931 the opposite was true.13

Contrary to most findings, Edin and Hutchinson discovered in

Stockholm a reversal of the usual inverse association between social class

and the rate of reproduction. The higher the socio-economic status, the

larger the family. These investigators obtained the number of live births

occurring in each family during the first ten years of marriage. They

11Frank Lorimer, and Frederick Csborn, Dynamics of Population,
(New York: The Macmillan Company, 1934), p. 79.

12Ibid., loc. cit.

13j. W. Innes, "Class Birth Rates in England and Wales, 1921-
1931," The Milbank Memorial Fund Quarterly, Vol. XIX, No. 1, (January,
1941), passim.

classified the families according to income, educational status, and

age of wife at marriage. The number of live births was found to

increase as educational status increased, and as income increased.

Myrdal, however, reported that this situation is not typical

of Sweden as a whole:

--except for Stockholm and some other cities with a
very low level of average rerrcduction--in general a strong
negative correlation /exists_/ between income and social
status, on the one hand, and number of children on the other.
Thus, the majority of families with a great number of children
are concentrated in the lower income brackets.15

He also offered an explanation of the lower fertility of the lower

socio-economic classes in Stockholm:

Two things must be borne in mind...: first, the fact that
it is a question of differential cost--a child or another child
presses down the level of living which otherwise would be
possible in all income strata; and second, and most important,
that rational birth control is still spreading in society. The
practice is sinking down through the social structure, i.e.,
starting in the higher sttata and slowly making its way down
to the lower strata. The final outcome--a positive correlation
between fertility and economic status--is laVrady visible in
some Swedish cities, particularly Stockholm. o

This explanation implies that when complete control over births

is achieved by all the social strata, the number of children will be

14Karl A. Edin and Edward P. Hutchinson, Studies of Differen-
tial Fertility in S-eden, (London: P. S. King and Son, Ltd., 1935),
pp. 61-73. Cited in Warren S. Thompson, Population Problems, (New
York: :cGraw-Hill Book Company, Inc., 1953), pp. 191-94.

15Gurnnar Myrdal, Population, A Problem for Democracy, (Cambridge:
Harvard University Press, 194C), p. 47.

16Ibid., p. 197.

directly related to the parent's ability to provide for then.

Alva Myrdal holds to iuch the same view. Family planning ac-

cording to that author, first developed in upper-class groups. "It is

not the difference in fertility between different social groups that

needs to be explained, but the different time order and velocity in

the acceptance of birth control by these groups." Eventually, "as

the broad masses come into the swirl of changing conditions," they

too will become sophisticated and class differences in fertility will


That Sweden like other nations of the world possesses lower urban

than rural birth rates was demonstrated by Thomas. However, it is

interesting to note that the differential was reversed in the past:

The crude urban birth rate shows the following relation-
ship to the crude rural birth rate: lower from the 1320's
through the 1750's, higher from the 'sixties through the
'eighties, approximately equal during the last decade of the
19th and the first of the 20th century, and lower again in
the following decades. During the decade of the 1920's the
differential became more marhed than at any previous
decade, the ratio of urban to rural rates being only 73.

In France, a study which.used 1906 census materials revealed an

inverse association between socio-economic status and fertility. This

was found to be true whether occupation or income were taken as a measure

17Alva Myrdal, nation and Family, the Sw edish E rrimnt in
Democratic Family and Porlation Policy, (Iew York: Harper and
Brothers, 1941), p. 62.

1-'Dorothy Swaine Thomas, Social and Eccnor-c Aspects of
Swedish Po.plation Movements, 1750-1933, (Hew York: The Macmillan
Company, 1941), p. 23.

of socio-economic status.19 More recently, Landry came to the sa.e con-

clusion in a study of 20 arrcndissements of Paris, classified accord-

ing to the level of living of the inhabitants of each one. Landry

also reports a sizable rural-urban differential in fertility in France,

with the urban population reproducing at a slower rate than the rural.

The foreign-born were found to have slightly higher birth rates than

the native-born.20 A map presented by Huber, Bunle and Boverat, indicates

that fertility is highest in France's most rural provinces and lowest in
her urban areas.2

D. V. Glass in discussing data relating to differential fertility

in Germany (Wurttemberg) for the years 1934 and 1935, pointed out that

workers had higher birth rates than officials and the general salaried

class. Furthermore, he indicated that a considerable increase in ferti-

lity occurred from 1934 to the first quarter of 1935, and stated:

In so far as it is possible to compare the whole of 1934
with the first quarter of the next year, the rate of increase
is greatest among the salaried class and not among the workers
...Looking more closely at the general increase in births, we
find that the decrease in abortion has probably been a very
important factor.22

19Hannibal Gerald Duncan, Race and Population Problems, (NTe
York: Longmans Green and Company, 1929), p. 31-.

20Adolphe Landry, Traite de D?2rographie, (Paris: Payot,
1949), pp. 304-303.

21Michel Huber, Henri Bunle, and Fernand Boverat, La Population
de la France, Son Evolution et Son Perspectives, (Paris: Librairie
Hachette, ca. 1939), p. 134.

22D.V. Glass, The Struggle for Poiplation, (Oxford: Clarenden
Press, 1936), pp. 22-29.

Thompson in discussing data relating to diff rential fertility

in Germany, reported higher fer ility an.onr Catholic than among

Protestant women, and the usual inverse relationship between socio-

economic status and fertility. He also reported that families that

owned land had a larger num-ber of children than those that did not.

Lest this be thought to be a reflection of the rural-uroan differen-

tial in fertility, he stated:

Thus even in the professions cnly 9.7 percent of the
women were childless if the couple o-wned land, while 15.2
percent were childless if the couple did not own land.
Moreover, 53.5 percent of the owning couples had three or
more children, while only 39.7 percent of the noncw.ming
couples had three or :-or2 children. The differences were
proportionately mrch the same for other occupational


Relatively little attention has been paid to the analysis of

the population of the Asiatic nations. This is in no small measure

due to the scarcity of the necessary materials. Less attention still

has been given to differentials in the rate of reproduction of various

segments of the population of Asiatic countries. A few studies may,

however, be cited.

One of the most important of these is thit of Kingsley Davis,

who in his analysis of the Population of India and Pakistan, devotes

.considerable attention to the matter of differential fertility.24

2Thompson, o. cit., p. 139

24Kingsley Davis, The Population of India and Pakistan, Prince-
ton, New Jersey: rinccton Uriversift Press, 1951), rp. 7C-'2.

Davis finds that the familiar residential differential in fertility

holds good in India, between urban and rural areas, and between larger

and smaller cities. The more rural areas and the smaller cities have

higher fertility than the more urban areas and the larger cities. He

also found that fertility decreases as class status (measured by caste

affiliation), increases. Fertility was found to be greater arong

agriculturalists than an-.on trading and professional peoples. Within

the agricultural category, owners and tenants were found to have low

fertility, and farm laborers to have high fertility. Literacy was

also found to be inversely correlated with fertility. Muslims were

found to be more prolific than Hindus. Davis's main conclusions were

as follows:

(1) A consideration of rural-urban differentials...
indicates that the cities have not yet, as in soie other
countries, inaugurated a general decline in the birth rate.
(2) An analysis of caste fertility on the basis of
racial status, occupation, and literacy shows that in the
Indian region, as in most other areas, fertility is inversely
correlated with social position. hBt the explanation does
not apparently lie primarily in the use of contraceptives
by the higher castes, as a ,'esterner might expect, but rather
in the fact that non-marriage, especially in the form of widow
celibacy is much higher in the upper classes...
(3) The religious differentials also demonstrate the
role of non-marriage in controlling the Indian birth rate.
The superiority of Muslim and Tribal fertility over the
Hindu is due in part to their greater toleration of widow

A study of education in relation to size of family made in

China by Griffing revealed on the other hand, a positive correlation

between educational status and fertility.

25Ibid., pp. 1-82.

The evidence...accumilated indicates that for the region
studied, education of parents results in increase rather t'-n
decrease in the nur.Iber of living children. The groups from
the highest cultural levels tend to leave the most survivors
and reproduce substantially more than their own number.20

These findings were corroborated by Lamson, who also found that in

China fertility increases as socio-economic status increases.27 Data

collected by the University of Nanking revealed a slight positive
association between fertility and the crop area of farrs.

A study of the Japanese population by Taeuber and Beal revealed

that in that nation rural-urban differentials in fertility are very

sharply defined. "Gross reproduction rates for prefectures in 1930-

1931 portray in accentuated form the urban-rural and agricultural-

industrial patterns of regional differentials..."29

The familiar rural-urban differential in the rate of reproduction

is also evidenced in the Near East. Jurkat reports that "...we find that

low birth rates--and in the Near East we consider as low those rates

26J. B. Griffing, "Education and Size of Family in China,"
The Journal of Heredity, Vol. XVII, No. 9, (September, 1926), p. 337.

27Herbert D. Lamscn, "Differential Reproduction in China,"
The Quarterly Review of Biology, Vol. X, No. 3, (September, 1935),
pp. 303-21. Cited in Frank W. TNotestein, "Class Differences in
Fertility," The Annals of the American Academy of Political and Social
Science, Vol.TCL~VTT. (November, 1936), p. 26.

23Notestein, op cit., loc., cit.

291rene B. Taeuber, and Edwin G. Beal, "The Dynamics of Popu-
lation in Japan," in Demographic Studies of Selected Areas of Rapid
Growth, Proceedings of the Round Table on Population Problems, ("ew
York: ilbank Memorial Fund, 1944), p. 20.

below 50-- ...mainly in the urban type of high-density areas."3

Kiser, writing about Egypt, reported on the other hand that "There

appears to be no substantial rural-urban differential in fertility and

mortality except in so far as the largest cities /Cairo and Alexan-

dria/are concerned."31 Kiser also stated that in Egypt religious

differentials in fertility are great, fertility being highest for

Moslems and lowest for Jews, with Christians occupying an intermediate

position. He gave the concentration of non-Moslem elements in Cairo

and Alexandria as a possible cause of low fertility in those areas.32

United States

Population studies have been greatly developed in the United

States. This development has been aided by the availability of decen-

nial census reports, of which there is a total of 17.

One of the earliest studies to devote attention to differentials

in the rate of reproduction in the United States was made by Tucker,

who, it may be said in passing, made use in some of his analyses of

the index that has since come to be known as the fertility ratio.

30Ernest Jurkat, "Prospects for Population Growth in the Near
East," in Demographic Studies of Selected Areas of Rapid Growth,
Proceedings of the Round Table on Population Problems, (LeT York:
Milbank: Memorial Fund, 1944), p. 87.

31Clyde V. Kiser, "The Demographic Position of Egypt," in
Demographic Studies of Selected Areas of Rapid Growth, Proceedings
of the Round Table on Pcyulation Problems, (Hew York: Milbank
Memorial Fund, 1944), p. 111.

32Ibid., pp. 111-13.

Tucker showed in 147, that whites reproduced more slowly than slaves,

and stated in addition that "The census...offers persuasive evidence

that the natural increase of the free portion of the colored popula-

tion is less than that of the slaves."33

Raymond Pearl who used a largely biological approach to dif-

ferentials in fertility, noted that foreign-born women in America are

much more fertile than native born women, but that their descendants

soon "slough off this attribute of barbarity, as it is regarded by some."34

Thompson tentatively arrived at the same conclusions using 1920 census

data, and explained the major factor responsible for the differential

by saying that

The foreign-born have a relatively unrestricted birth
rate not because they are foreigners nor because they are of
certain nationalities, but because they are less urbanized,
even though living in cities, than most of our native popula-
tion. The foreign-born, both men and women, are dominated
to a great extent by the attitudes toward life brought with
them from their rural conrrunities in the "old country."35

In further analysis Thompson demonstrated that fertility is inversely

associated with size of urban center, and that the fertility of foreign-

born women as well as of native white women is affected by this factor.36

33George Tucker, Progress of the United States in Population
and Wealth in Fifty Years as "xhibited by the Decennial Census, (Iew
York: Press of Hunt's Merchants' Magazine, 143), pp. 96-97.

34Studies in Human Biology, (Baltimore: Williams and Wilkins
Company, 1924), pp. 206-10, 253-72.

35Warreh S. Thompson, Ratio of Children to Women, 1920,
Census Monograph XI, (Washington: United States Government Printing
Office, 1931), p. 37.

36Ibid., pp. 36-45, 96-107, 114-26.

He also presented fertility ratios for agricultural states, semi-

industrial states, and industrial states, for census years from 1'00

to 1920. These data clearly show that as early as 1I00 a differential

existed at least in the net reproduction rate if these groups of states,

with the agricultural states reproducing at the fastest pace, and the

industrial states at the slowest rate. The differential is found in

all the census years for which data was given.37

Brunner and Kolb made an interesting analysis of rural-urban

differentials in fertility, from the standpoint of distance from an

urban center.

The data for Des Moines show that this Lfertility/ratio
is lowest in the City County and that it increases with each
succeeding tier out from the City County. There appears to be
a relationship between the birth rate and the distance from
the city of any measured unit of population such as the
people of a group of counties.
Furthermore...this relationship existed in the past.
It was true in both 1910 and 1920.33

Lorimer and Osborn analyzed the fertility of immigrant stocks,

and noted that French Canadians are the most prolific, being a

group of rural and orthodox Catholic origin, which suffered little

cultural change at first in drifting across the Canadian border into

New England towns.39 Another Catholic and rural immigrant stock, the

Irish, also were found to have high fertility, whereas the English

and Scotch were among the least prolific of the immigrant stocks.

37Ibid., p. 15.

3 Edmund de S. Brunner and J. H. Kolb, Rural Social Trends,
(New York: McGraw-Hill Book Company, 1933), p. 115.

39_p. cit., p. 50.

These authors also presented data from the 1910 Milbank Sample of

United States Census Data, that showed that fertility decreases in

urban areas as one goes from the unskilled manual wor-er occupational

category to the professional occupational category: and in rural areas,

from the farm laborer to the farm owner category.40 In a further

discussion of social class differentials, Lorimer and Osborn stated:

Social class differentials were found to be surprisingly
similar in different types of communities, in an analysis of
variations in fertility of marriage in 1900 among social
classes in one metropolitan area (Chicago), in a group of cities
ranging from approximately 50,000 population, in a group of villages
with few.r than 5,000 inhabitants, and in rural farm communi-

An inverse association between education and fertility and be-

tween occupational status and fertility, was found by Notestein. The

latter comparison held good even when the comparison was made between

similar educational groups. With regard to religious differentials,

Catholics were found to be more fertile than Protestants, and the dif-

ferential was discovered to be more accentuated in the upper than in

the lower classes. Both religious groups exhibited the characteristic
inverse association between status and fertility.2

Whelpton found the usual differentials in fertility associated

with nativity, occupation and religion, and in addition, further

OIbid., p. 67

41Ibid., pp. 83-84.

42Frank W. Notestein, "Class Differences in Fertility,"
The Annals of the American Acade.n of Political and Social Science,
Vol. CLDOVIII, (:Nover.ber, 1936), pp. 26-36.

analyzed differences in fertility as distance from a city increases.

The results show that generally, fertility increases as distance from

a city increases.h3

An intensive study of socio-economic differentials in fertility

was made by Kiser. This study reinforced previous conclusions re-

garding socio-economic differentials. Notestein in his study of

fertility in the East North Central states, found the usual inverse

association between fertility and size of cornunity, and between socio-

economic status (as measured by the value of the hone), and fertility.

He pointed, however, to some interesting exceptions:

In one case, that of the native white families in large
cities, the average nun-cr of children was smaller in families
with homes valued at less than $1,00O than in those whose
homes were worth from $1,C00 to $2,000...
At the other end of the scale the average numbers of
children were frequently larger in families with homes
valued at $10,000 or more than in those of the $5,C00 to
$10,OX) class... The I r.c or ;, direct associaticrn between
fertility and economic status in some of the upper economic
groups is becoming clear.-5

Notestein is inclined to accept provisionally as an explanation of

the phenomena that he noted, the beginning of a reversal of the more

43p. K. Whelpton, "Geographic and Economic Differentials in
Fertility," The Annals of the Amrican Academy of Political and Social
Science, Vol. CLC~VIII, (Novec.'.ber, 1936, pp. 37-55.

4Clyde V. Kiser, "V:riations in Birth Rates According to
Occupational Status, Family Income, and Educationsl Attainment,"
The Milbank Merorial Fund Quarterly, Vol. XVI, No. 1, (January, 1933),
pp. 39-50.

45Frank W. Notestein, "Differential Fertility in the East North
Central States," The Milbankh .e-orial Fund Quarterly, Vol. XVI, No. 2,
(April 1933), p. 1i-

usual inverse association between fertility and socio-economic status

such as has been observed in Stochholm and a few other European cities.

Wilcox, analyzing data for 1930, discovered contrary to previous

findings, that native white wives were more fertile than the foreign-

born. However, by 1930, a large proportion of foreign-born wives were

in the advanced age groups. Standardizing the data for age, the figures

were reconciled with previous findings, and the foreign-born were shown

to be more fertile than the native-born.46 Willcox also noted that from

1890 to 1930, the fertility of foreign-born wives decreased much faster

than that of native-born wives.

In a study of data gathered by the National Health Survey in the

fall and winter of 1935-1936, Kiser discovered the usual inverse rela-

tionship between income and fertility, but concluded that the amount of

income was more closely related to fertility than occupational status.

The study of fertility rates in Kentucky made by Oyler, revealed

that high school attendance tends to reduce fertility, but more inter-

estingly, large urban centers were found to have a depressing effect

46Walter F. Willcox, Studies in American Demography, (Ithaca,
New York: Cornell University Press, 1940), pp. 274-75.

17Ibid., p. 281.

4Clyde V. Kiser, "Intra-Group Differences in Birth Rates of
Married Women," The Milbank Menorial Fund Quarterly, Vol. XIX, No. 2,
(April, 1941), pp. 147-17C. National Health Survey data are analyzed
in greater detail, in book form by Kiser in Group Differences in Urban
Fertility, A Study Derived From the ITational Health Survey, (Baltimore:
The Williams and Wilkins Company, 1942).

on the fertility of adjacent areas. The author also made the follow-

ing suggestive statement:

There is also an indirect relationship between highway
construction and decline in population fertility. The more
highway traffic passe through a county, the sooner the
birth rate declines. '

Beegle and Smith in their study of differential fertility, found

significant variations in the fertility of residential groups, with

the rural-farm population being the most prolific, the urban the least

prolific, while the rural-non-farm category occupied an intermediate

position. "This relationship prevails," the authors stated "among

both whites and Negroes, in both French and Anglo-Saxon Louisiana, and

in each of the five type-of-farming areas."50 An inverse relationship'

between the size of an incorporated center and fertility was also found.

Beegle and Smith noted as well, racial differentials in fertility, in

favor of the Negro, but suggested that the differential is largely due

to the greater concentration of Negroes than whites in rural areas.

Another differential noted is that between different ethno-religious


The population of French-Catholic south Louisiana is
multiplying far more rapidly than that of Anglo-Saxon,

1 Merton D. Oyler, Fertility Rates and Migraticn of Kentucky
Population, 1920 to 19O0, as Related to Ccr.---n: cation, Income and
Education, Reprint of Kentucky Agricultural Ex.periment Station Bul-
letin 469, (November, 1944), p. 26.

50J. Allan Beegle and T. Lynn Smith, "Differential Fertility
in Louisiana," Louisiana State University Agricultural EIperinen;
Station, Louisiana Bulletin No. 403, (June, 1946), p. 24. See also
T. Lynn Smith and Homer L: Hitt, The People of Louisiana, (Baton Rouge:
Louisiana State University Press, 1952), chap. XI.

Protestant north Louisiana. This difference prevails among all
residential groups of both races. Except for the rural-urban
differential it is the most significant difference observed.51

Smith, in Population Analysis devoted a full chapter to dif-

ferential fertility, which contains the following significant statement

in relation to regional differences in fertility:

Other than these reflections of the urbanity of the rural-
ity of the populations, there seems little to be said about
regional differences. In fact, the results of the analysis in
this and the two preceding sections may be sur.-ed up as follows:
Every refinement introduced into the analysis of the data con-
cerning the net reproduction rate in the United States tends to
emphasize the importance of the rural-urban differential in fer-
tility and to minimize racial and regional differences in the
rate of reproduction. When the residential differentials are
fully isolated, there is little if anything left to be attributed
to other factors.52

Latin America

Demographic studies have progressed but slowly in Latin America.

As in Asia, this has been in part due to the lack of recent census

materials for many of the countries. Most analyses of the population

of the nations belonging to this area, have been made by scholars from

other parts of the world. It is to be hoped, however, that the in-

creasing availability of adequate and recent census tabulations for the

various Latin American nations will result in the appearance of up-to-

date studies making use of modern demographic analytical techniques.

One of the more significant studies of Latin American nations is

that made by Whetten of Mexico. In his discussion of marriage and

51Ibid., p. 5.

52T. Lynn Smith, Population Analysis, (New York: McGraw-Hill
Book Company, 1943), p. 218.

family institutions he brought data to bear on the matter of differen-

tial fertility. These data indicate that Mexico is no exception to the

general rule of lower fertility in urban than in rural areas.53

A study by Moore threw additional light on differential fertility

in Mexico. The study was based on interviews of 600 factory workers

in Puebla, in 1943-49. Although the sample is relatively snall, the

results of the inquiry are interesting and worthy of mention. Moore

found that fertility is significantly higher among couples who had

been united by religious rites (and are thereby considered by the author

to be "conservative'),than among couples who were united only by a civil

ceremony or by no ceremony at all ("liberal"). He also found, and this

is of particular interest, that fertility was directly associated with

income even when age was taken into consideration. Furthermore, the
income differentials were within an occupational class.5

Hatt presented some interesting conclusions resulting from a

study of fertility in Puerto Rico. He found an inverse association be-

tween fertility and socio-economic status, and between fertility and

urbanity, and concludes that 1920 represents the approximate date when

these "demographic effects usually attributed to industrial development

were first felt in Puerto Rico," inasmuch as these differentials did

53Nathan L. Whetton, Rural Mexico, (Chicago: The University
of Chicago Press, 1943), pp. 390-93.

5hWilbert E. Moore, "Attitudes of Mexican Factory Workers
Toward Fertility Control," in Approaches to Problems of High Fertility
in Agrarian Societies, Papers Presented at the 1951 Annual Conference
of the Milbank Memorial Fund, (iTew York: Milbank Memorial Fund, 1952),
pp. 74-101.

not occur among those -arried before that date. Another conclusion

reached by that author is that fertility is negatively associated

with colored (de color) persons. However, he suggests that this may

be due to urban residence. He also found no relationship between

Catholicism and fertility as might be expected, and stated:

The second deviation from "common sense" judgments, the
fertility differential between consensual unions as opposed to
legal marriages, shows the letter to be generally and sub-
stantially the more fertile.55

In his analysis of data for Argentina, Taylor noted that

The higher birth rates and the higher infant death rates
are in the most rural provinces. One of these facts offers
the principal explanation of the other. But in addition to
this, in the rural and peripheral provinces are a far higher
percentage of the population with Indian heritage, a higher
percentage of the economically poor who live in poorer houses,
have less medical care, and are undoubtedly more ignorant of
proper child care.56

Mention of a rural-urban differential in fertility in Uruguay

was made by Solari who shows that in 1908 (the date of the last census)

fertility was much lower in urban than in rural areas. He concluded

that although more detailed study is impossible due to the lack of

recent census materials, every indication points to the conclusion

that the differential exists today.57

55Paul K. Hatt, Backgrounds of Hunan Fertility in Puerto Rico,
(Princeton, New Jersey: Princeton University Press, 1952), p. 333.

56Carl C. Taylor, Rural Life in Argentina, (Baton Rouge:
Louisiana State University Press, 194V), p. 83

57Aldo E. Solari, Sociologia Rural Nacional, (.Montevideo:
Biblioteca de Publicaciones Oficiales de la Facultad de Derecho y
Ciencias Sociales de la Universidad de Montevideo, 1953), p. 121.

Interesting material was presented by nelson, relating to racial

differentials in the rate of reproduction :-: Cuba. In that country,

although fertility ratios for the "colored group (which includes

Negroes, Chinese and r-ixed-bloods) are hig h- than the fertility ratios

for whites, the Negro and mixed-blood polplations have constituted

an ever decreasing proportion of the total --opulation. From 1931 to

1943 the decline in the relative importance of Tegroes was greater

than the same decline for mixed-bloods. 'iT apparent contradiction
of these facts is tentatively explained by a-aga.tion of the races.5


Studies of differential fertility in Brazil have been handi-

capped, as in most Latin American Countries by lack of data. The 1940

census, for example, for the first time since 1390 presented data re-

lating to the racial composition of the population. That census

(published in 1950), rnd the appearance of the principal results of

the 1950 census have made possible a number of studies of differentials

in the fertility of the Brazilian population.

These are to be found in two main sources: a series of publications

58Lowry Nelson, Rural Cuba, (Minneapolis: The University of
Minnesota Press, 1950), pp. 27-31.


of the Brazilian Institute of Geography and Statistics,59 and in the

two editions of Brazil: People and Institutions, by T. Lynn Smith.

The first of these sources unfortunately relies almost exclusively on

1940 census data which the present writer considers unreliable, and

which he discusses and analyzes in Chapter VII. In the second of these

sources, the author demonstrated that the usual rural-urban differen-

tial in fertility exists in Brazil, and that the INegro segment of the

population is reproducing more slowly than either the white or mixed-

blood segments, and that the population is undergoing a "whitening"

process.60 These conclusions are supported by the more intensive

analysis based on more complete data which is presented in the fol-

lowing pages.

591. B. G. E., Estudos de Estatfstica Tedrica e Aplicada, Esta-
tistica Denografica: No. 4, Estimativas da Taxa de Natalidade para o
Brasil, as Unidades da Federago e as Principais Ca(19i-); o. 6,
A Prolificidade da Mulher, Segundo a Idade Inicial da Atividade Reprodu-
tora, no Brasil (1949); o. 3, Caracteristicas Demogr~ficas do Estado da
Bahia (1949); No. 10, Pesquisas Sobre a Natalidade no Brasil (1950);
No. 14, Estudos Sobre a Natalidade e a M.ortalidade no 3rasil (1952):
No. 15, Estudos Sobre a Natalidade em A!guwas Grandes Cidades do Brasil
(1953; No. 16, Pesquisas Sobre a Natalidade no Brasil, 2a. Sdrie (1953);
(Rio de Janeiro: Servigo Grafico do I. B. G. E.).

60T. Lynn Smith, Brazil: People and Institutions, Revised
Edition (Baton Rouge: Louisiana State University Press, 1954), pp.
191-96, 160.



Before proceeding to the analysis of differentials in the

fertility of Brazil's population, it is well to examine some inter-

national differentials in the rate of reproduction, and to corp.are

them with the rate of reproduction in Brazil. In this way, one can

obtain a better idea of the magnitude of that rate in Latin America's

largest nation.

Such a comparison is made possible if we examine the crude

birth rates, or the number of live births during a one-year period,

per 1,000 inhabitants, in various areas of the world. In Table 1,

in addition to the estimated birth rate for Brazil, are presented

birth rates for those areas of the world believed by the Statistical

Office of the United Nations to have complete or nearly complete

birth registration.

This tabulation offers confirmation of the impression that

the birth rate in Brazil is at a very high level. Only three of the

53 areas of the world for which reliable birth rates were available

in 1950, possessed a higher birth rate than that of Brazil (43.6).

These were Mauritius, Mexico, and Singapore. Of particular signi-

ficance is the fact that some of the world's most rural areas, that

can therefore be expected to reproduce at a very rapid rate are in-

cluded in the tabulation. In addition to Brazil, only six of the

53 areas of the world included in the tabulation had birth rates




Area Crude birth rate

Brazil(l) 43.6

Union of South Africa
Europeans 25.1
Europeans 20.7
Mauritius 49.7
Non-indigenous population 33.9
Southern Rhodesia
Europeans 27.2
South West Africa
Europeans 32.1

Canada 27.1
Mexico 45.7
United States 23.5
Bahama Islands 32.0
Barbados 30.7
Bermuda 34.7
British Honduras 39.4
Jamaica 33.1
Leeward Islands 35.5
Windward Islands 37.3
Trinidad and Tobago 37.5
Virgin Islands 33.4
British Guiana 40.4

Ceylon 40.4
Israel 33.0
Japan 28.2
Cyprus 29.9
Federation of Malaya 42.0
Singapore 45.7

TABLE I continued


Area Crude birth rate

Austria 15.6
Bulgaria (1947) 24.0
Belgium 16.9
Czechoslovakia (1949) 22.1
Denmark 13.6
Finland 24.5
France 20.5
German Federal Republic 16.2
Greece (1949) 26.1
Hungary (1948) 19.1
Iceland 28.7
Ireland 21.3
Italy 19.6
Luxembourg 14.8
Netherlands 22.7
Norway 19.1
Poland 30.5
Portugal 24.4
Spain 20.2
Sweden 16.4
Switzerland 18.1
United Kingdom 16.2
Yugoslavia 30.4

Australia 23.2
New Zealand 24.7
Fiji Islands 39.9
Hawaii 28.6
Pacific Islands (U.S.) 35.9

*Source: United Nations, Demographic Yearbook, 1953,(New York; Stata-
tistical Office of the United Nations, 1953), PP. 132-41.
(1) Estimate of the Brazilian Institute of Geography and

above 4O.O.

If the fertility ratio, or the number of children under 5 per

100 women aged 15 to 44, for the various nations and areas of the

world are compared with the one for Brazil, another, and more satis-

factory gauge of the level of the rate of reproduction in Brazil

is obtained. Such a comparison is made possible by Table 2, which

excludes the Latin American nations. Of the 33 areas of the world

for which these materials are presented, only the Moslem population

of Algeria, the population of the Canadian Yukon and Northwest

Territories, and the population of Formosa, are revealed to reproduce

more rapidly than the population of Brazil. It is significant that

among the areas included, are places such as Portuguese Guinea, India

and Japan, where the rate of reproduction is at a very high level.

Nevertheless, the rate of reproduction of these areas is far out-

distanced by that of Brazil.

Because of the marked under-registration of births in 17 of

the 20 Latin American republics, a comparison between the Brazilian

birth rate and the birth rates of the other Latin republics in the

hemisphere is largely meaningless. However, the fertility ratio,

which does not depend on the registration of vital statistics,

provides an adequate basis for comparison.

Unfortunately, it is not possible to calculate fertility ratios

for a fairly recent date for all of the Latin American Republics. In

Table 3 fertility ratios are presented for 18 of the 20 republics

belonging to that area, and for Puerto Rico, whenever possible for



Fertility Nature of
Area ratio(1) Year data





Gold Coast
Portuguese Guinea
Southern Rhodesia

Yukon and Northwest
United States








South Korea

















TABLE 2 continued


Fertility Nature of
Area ratio(1) Year data

Denmark 45.2 1950 Census
Austria 34.8 1951 Census
Belgium 38.0 1951 Estimate
Finland 54.4 1950 Census
France 46.1 1953 Estimate
German Federal Republic 30.1 1950 Census
Iceland 59.1 1950 Census
Norway 44.7 1950 Census
Portugal 44.9 1950 Census
Sweden 40.0 1950 Census
England and Wales 39.2 1951 Census
Northern Ireland 46.2 1951 Census
Scotland 41.7 1951 Census
Switzerland 39.1 1950 Census
Yugoslavia 49.5 1952 Estimate

New Zealand 55.8 1951 Census

Australia 50.8 1952 Estimate

*Source: Compiled and computed from data in United Nations, Demographic
Yearbook, 1953, (New York: Statistical Office of the United
Nations, 1953), pp. 114-130.
(1) Fertility ratio determined as follows: children 0-4 X 100
women 15-44



Country Fertility ratio(1) Year

Brazil 70.5 1950

Argentina 46.8 1947
Chile 52.3 1940
Colombia 67.6 1938
Costa Rica 73.9 1950
Cuba 57.4 1943
Dominican Republic 59.8 1950
Ecuador 76.5 1950
El Salvador 67.4 1950
Guatemala 72.2 1950
Haiti 49.7 1950
Hondu ras 72.7 1950
Mexico 68.4 1950
Nicaragua 70.2 1950
Panama 75.4 1950
Paraguay 75.2 1950
Peru 71.5 1940
Puerto Rico 78.4 1950
Venezuela 76.7 1950

*Sources: Figures for Panama, Dominican Republic, Haiti, Mexico, Vene-
zuela, Peru, Guatemala, Cuba, Argentina, Chile and Colombia,
are from the MS of The People of Latin America by T. Lynn
Smith. Figures for Brazil, Honduras, Kicaragua, Costa Rica,
El Salvador, Puerto Rico and Ecuador, compiled and computed
from data in United Nations, Demografic Yearbook, 1953,
(New York: Statistical Office of the United Nations, 1953),
pp. 116-19. Figure for Paraguay com.put~ed from data in
Demografic Yearbook, 1954, p. 126.
(1) Fertility ratio determined as follows: children under 5
women 15-44
X 100


The rate of reproduction of the Brazilian population as measuredd

by the fertility ratio (70.5), is greater than that of Nicaragua,

El Salvador, Cuba, Haiti, Mexico, Argentina, Chile, and Coloz-bia.

The population of Honduras, Costa Rica, Panama, Puerto Rico, Ecuador,

the Dominican Republic, Guatemala, Peru, Paraguay and Venezuela, are

revealed to be reproducing at a more rapid rate than that of Brazil.

The great speed with which the Brazilian people is reproducing

itself, is also reflected in the terrific rate at which the population

is increasing. Although immigration has contributed somewhat to the

growth of the Brazilian population, the overwhelming factor respon-

sible for that growth is the high reproduction rate.

The increase of the population in absolute and relative num-

bers, from 1900 to 1950, and from 1920 to 1950, is given in Table 4.

From 1900 to 1950, the total population of Brazil increased from

17,433,434 to 51,944,397 inhabitants, an absolute increase of

43,505,963, and a relative increase of 193 percent.

Greatest increases are to be found in the states comprising the

Southern region, that have benefited the most from immigration. From

1900 to 1950, the population of Rio Grande do Sul increased by 262

percent, and that of Sao Paulo by 300 percent; Santa Catarina's

population registered and increase of 337 percent, and the people of

Parana increased by no less than 547 percent.

Outside of the Southern region, the greatest increases in

population have occurred in the two states comprising the West Cen-

tral region (Mato Grosso and Goias), which have been the goal of



Region and State 1900 1920 1940 1950


Acre (1)

R. G. do Norte

Minas Gerais
Espirito Santo
Rio de Janeiro
Dist. Federal

Sao Paulo
Santa Catarina
R. G. do Sul

West Central
Mato Grosso

17,433,434 30,635,605





356,264 477,064
2,117,956 3,334,465
3,594,471 5,888,174
209,783 457,320
926,035 1,559,371

















TABIE 4 continued


Region and State Absolute Percentage
increase increase


Acre (1)

R. G. do Norte

Minas Gerais
Espfrito Santo
Rio de Janeiro
Distrito Federal(3)

Sao Paulo
Santa Catarina
R. G. do Sul

West Central
Mato Grosso













-- --

TABLE 4 continued


Region and State Absolute Percentage
increase increase

North .
Acre (1)
R. G. do Norte
Minas Gerais
Espfrito Santo
Rio de Janeiro
Distrito Federal
Sao Paulo
Santa Catarina
R. G. do Sul
West Central
Mato Grosso








Compiled and computed from data in I. B. G. E., Conselho
Nacional de Estatistica, Servigo Nacional de RecenseT.ento,
VI Recenseamento Geral do Brasil, Censo Demografico (1 de
Julho de 1950), Estados Unidos do Brasil, Seleco dos Prin-
cipais Dados, (Rio de Janeiro: Servigo Grfio do I. B. G. E.
1951, 1952, 1953), passim.
(1) Territory. For 1950, the population of the territories
of Amap, Guapore and Rio Branco, are included in the popula-
tion of Para, Mato Grosso, and Anazonas, respectively.
S2) 1906. Results of the 1900 census were rejected.
3) 1906-1950. See (2) above.








considerable internal westward migration. Frcm 19C0 to 1950, the

population of Goias increased by 376 percent, and that of Mato Grosso

increased by 374 percent.

Greatest numerical gains from 1900 to 1950 were made by Sao

Paulo, Minas Gerais, Bahia, Rio Grande do Sul, and Pernarbuco,

listed in the decreasing order of the size of the increase.

Slowest to increase during the fifty-year period preceding

1950 were Alagoas (68 percent), Sergipe (81 percent), Amazonas (113

percent), Minas Gerais (115 percent), and Bahia (123 percent). The

great speed with which the Brazilian population is increasing is

emphasized by the fact that from 1900 to 1950 only two states of the

federation failed to double their numbers. During the same period,

eight of the nation's 22 political subdivisions increased by more than

250 percent. Six of the subdivisions of the nation's territory

(Ceara, the Federal District, Parana, Santa Catarina, Goias, and

Mato Grosso, more than doubled their numbers from 1920 to 1950.

Lowest rates of increase during the 30-year period preceding

1950 were recorded for the states of Alagoas with a percentage

increase of 12, Para (18 percent), Acre (24 percent), Minas Gerais

(31 percent), and Sergipe (35 percent).

On a regional basis, whether the 1900-1950 or the 1920-1950

period be considered, greatest rates of increase are to be found in

the Southern and West Central regions, and smallest population growth

occurred in the Northern region.

If the population of Brazil continues to grow even at a "low"

rate of 2.0 percent per year, it will surpass the 100 million mark


before the end of the century. Since considerable inroads are being

made against mortality, and the death rate is Imown to fall more

rapidly than the birth rate, there may well be 1CO million Brazilians

before the next fifty years have elapsed.



Perhaps no other differential in the fertility of human popu-

lations has been so oft studied, commented upon and analyzed as

the residential. Some of the first observations ever recorded on

fertility differentials are related to the subject of this chapter.

The different rates at which the urban and rural portions

of a population reproduce are without doubt of great importance.

In practically every human group of any size, men live to a greater

or lesser degree in comparatively small areas with a high popula-

tion density, which are characterized by an urban mode of life.

Conversely, rural areas are also to be found all over the globe.

Such questions, therefore, as the proportions of a given

population living in urban and rural areas, the rate of reproduc-

tion in them, and the rate at which a population is becoming

urbanized, are of paramount importance in attempting to predict the

demographic future of a population, along with all that is implied

in that expression.

As the result of studies conducted at different points in

time and in many parts of the world, one of the most universally

accepted of population theories has been the differential fertility

of rural and urban areas, with the latter possessing lower fertility

than the former. Although the level of fertility is by no means

the same for all urban areas even of comparable size, or for all

country areas even if possessing a comparable degree of rurality,


the lower urban level of fertility holds generally true when compared

with the surrounding rural population.

A number of factors may be postulated to account for the slower

pace at which the urban population reproduces. One that is often

cited is the economic burden that children place upon urban parents

whereas to the rural dwellers children are likely be be an economic

asset. This generalization is particularly applicable in highly

rural "under-developed" nations like Brazil, where a large portion

of agriculture is of the subsistence type and has not advanced beyond

the hoe or rudimentary plow system of agriculture. Methods of birth

control are at hand for the urban dweller to limit his family to the

desired size. Being better educated and more aware of the possibili-

ties of birth control and possessing greater economic resources than

his rural brother, the city man is more prone to adopt family

limitation practices.

Another factor is the shortage of men in urban areas or a low

urban sex ratio, which is reflected in lower proportions of the city

population being married. The incentive to marry is smaller in

urban than in rural areas. In the city a bachelor may live comfort-

ably and enjoy many of the pleasures of life on a relatively

moderate income. The city with its many opportunities for diversion

and recreation of the most varied kinds, minimizes and supplants to

some extent the need for and function of a home. In addition, the

acquisition of a wife and the procreation of children places a much

greater financial burden on the city dweller than on the inhabitant

of country districts. Finally, the anonymity of the city makes it

possible for both men and women to engage in sexual intercourse out-

side of the bonds of the family with greater ease.

The Rurality of the Population

When appraising the degree of rurality (or urbanity) of the

Brazilian population, the Brazilian census definition of its three-

fold division of the population into urban, suburban, and rural must

be kept in mind.

The states of Brazil are subdivided into municipios which are

analogous to the United States county, and these in turn are divided

into districts. The census defines as urban the cores of the federal

capital, state capitals, seats of municipios and seats of districts.

The suburban area includes areas immediately adjacent to the urban

core. The federal decree of 1938 which established the criteria

for the delineation of urban, suburban and rural zones, specifies


The delineation of the suburban portion of the seats
of municipios or distritos, shall consist in the clear and
simple description of a line...L on a county map /embracing
an area that surrounds at a variable distance, the urban
section, an area into which the expansion of the urban zone
is already proceeding or to which due to its favorable topo-
graphic conditions this expansion is naturally destined.

The rural population consists of the inhabitants of those areas

that are not included in either the urban or suburban categories.

LT. Lynn Smith, Brazil: People and Institutions, Revised
Edition, (Baton Rouge; Louisiana State University Press, 1954),
p. 164.

In effect, the political function of a locality is the main criterion

for its classification as urban or rural.

This criterion is not altogether far-fetched, since with only

one minor exception the state capital is the largest urban center

in the state, and with probably very few exceptions the seat of the

municipio is always the largest urban center in that political sub-

division, and likewise for the seats of the districts. This prac-

tice, however, does lead to the inclusion in the urban category of

many localities that could hardly be considered urban from any other

standpoint.2 As a result, many hundreds of localities possessing

fewer than 1,000 inhabitants which would be classified as rural in

the United States are in Brazil considered to be urban. If the

United States census criteria of a minimum of 2,500 inhabitants

for urban places were employed, a still larger share of the

Brazilian population now considered urban, would be thrown into the

rural category.

It becomes evident therefore, that the degree of rurality in

Brazil is actually greater than that indicated by census figures--

a fact that must be constantly kept in mind. In 1950, 25.0 percent

of the population was classified as urban, 11.2 percent as suburban

and 63.8 percent as rural. A more realistic estimate of the rurality

of the population can be had by considering the suburban population

as rural, thus placing 75 percent of the nation's inhabitants in

2Cf. Ibid., pp. 164-67

the rural category. Not only is Brazil highly rural from the quan-

titative standpoint, but it is also highly rural from a qualitative

point of view. It would be difficult to imagine places where a

greater degree of rurality prevails than in the many small hamlets and

villages scattered over Brazil's vast territory.

Examination of Table 5 reveals the high degree of rurality that

prevails throughout the national territory. If the Federal District

(Distrito Federal) a small area almost entirely occupied by the capi-

tal city of Rio de Janeiro, and the territory of Rio Branco possessing

an insignificantly small population are excluded, in only two states

do more than 25 percent of the population live in urban areas.

The three most rural states are to be found in the Northeast

region: Piauf with only 8.0 percent of its population in the urban

category; Maranhao, with 10.5 percent of its inhabitants so classi-

fied; and Ceara which is only 11.8 percent urban. The highest propor-

tions of urban population are to be found in Sao Paulo in the

Southern region (39.9 percent), and in Rio de Janeiro (40.5 percent)

and the Federal District (74.8 percent) in the Eastern region.

Nation-Wide Differentials

In making comparisons between the fertility ratio in the

various states of Brazil, the role played by infant mortality must

be kept in mind. Infant mortality in Brazil is high. It also varies

considerably from one part of Brazil to another. The extent of the

variation may be glimpsed from Table 12 Estimated infant mortality

rates for thirty S9o Paulo municipios, calculated by the Brazilian




Region and State Percent Urban Percent Suburban Percent Rural

Guapore(1) 20.0 17.4 62.6
Acre(l) 13.3 5.2 18.5
Amazonas 15.6 11.2 73.2
Rio Branco(l) 25.7 2.6 71.7
Para 16.6 18.1 65.4
Amapa(1) 17.8 19.3 62.9
Maranhao 10.5 6.9 82.7
Piauf 8.0 8.3 83.7
Ceara' 11.8 13.4 74.8
Rio Grande do Norte 17.7 8.5 73.8
Parafba 18.3 8.3 73.3
Pernambuco 14.7 19.7 65.6
Alagoas 13.7 12.5 73.8
Sergipe 21.4 10.5 68.2
Bahia 19.6 6.3 74.1
Minas Gerais 18.5 11.5 69.9
Espfrito Santo 15.8 6.8 77.4
Rio de Janeiro 40.5 7.0 52.5
Distrito Federal 74.8 22.0 3.1
Sao Paulo 39.9 12.7 47.4
Paranal 16.6 8.3 75.0
Santa Catarina 17.3 6.0 76.8
Rio Grande do Sul 24.4 9.8 65.9
West Central
Mato Grosso 32.4 10.7 65.9
Goias 14.9 5.3 79.8
Brazil 25.0 11.2 63.8

*Source: Compiled and computed from data in I. B. G. E., Conselho
Nacional de Estfstica, Servico Nacional de Recenceamento,
VI Recenceamento Geral do Brasil, Censo Demografico (1 de
Julho de 1950), Selegao dos Principais Dados, (Rio de
Janeiro: Servigo Grafico do I. B. G. E., 1951, 1952, 1953),
p essim.
(1) Territory

Institute of Geography and Statistics (I. B. G. E.), show a variation

of from 93.13 to 254.55 deaths of infants under the age of one per

thousand live births.3 Furthermore, wide variations no doubt occur

in the mortality of the 1-4 age group. As a result, the relation-

ship of the number of children under 5 in the population to the

number of live births is not constant. Nevertheless, the fertility

ratio remains a valuable index of what has been termed "effective


The fertility of persons living in urban, suburban, and rural

areas varies considerably in Brazil. In 1950, in rural areas there

were 77.8 children 0-4 per 100 women 15-49. In suburban areas this

figure was 53.9 and in urban areas only 43.2.

Residential differentials in the rate of reproduction are not

the same in magnitude or importance over the entire area of Brazil.

In an attempt to analyze these variations, a three factor map

of Brazil showing size of population, proportions urban, rural, and

suburban, and the variations in fertility in each of the residential

categories was prepared (Fig. 2), thus permitting a simultaneous

comparison of size of population, proportions in urban, suburban and

rural areas, and the rate of reproduction.

Analysis of this map shows that in all states with the exceptions

of Alagoas and Goias, the urban, suburban and rural differentials in

31. B. G. E., Estudos de E-tatistica Te6rica e Aplicada,
Estistica Demogrifica No. 14, Estudos Sobre a Natalidadee a Mortal
idade no Brasil, (Rio de Janeiro: Servigo Grifico do I. B. G. E.,
1952), p. 157.



-m- ---5.000.000
(--- --2500.000
---- 1.250.000
-- 500.000

|iilUN1)ER432 rZJ632-731
EI J432-531 ~ 732-831 :: ::
5332-631 1832-OVER

Fig. 2. The Level of Fertility by Residence and States, Brazil, 1950.
(Starting at 12:00 on the circles and reading clockwise, the segments
represent the urban, suburban and rural populations, respectively).
Prepared from data in I.B.G.E., Conselho Nacional de Estatfstica,
VI Recenseamento Geral do Brasil, Censo Demografico (1 de julho de 1950),
Seleabo dos Principais Dados, (Rio de Janeiro: Servigo Grafico do I.
B. G. E., 1951, 1952, 1953), passim.


fertility were sufficiently large in 1950, to place these residential

classes in an increasingly high fertility category as one moves from

the urban to the suburban to the rural category. In Alagoas and

Goias, although the suburban portion of the state has a higher rate

of reproduction than the urban, this difference was not sufficiently

large to place it in a higher category.

It is worthy of note that three of the most populous and most

urban states (Rio Grande do Sul, Sa'o Paulo and the Federal District),

possess the lowest rates of reproduction recorded for the urban

segment of the population, All of these are located in the southern-

most section of the country.

Only in Santa Catarina, Goias, and Mato Grosso, does urban fertil-

ity fall into the rather high range of from 53.2 to 63.1 children 0-4

per 100 women aged 15-49.

Highest rural fertility is to be found in Santa Catarina, in

the Southern region, Mato Grosso in the West Central region, in the

territory of Acre in the Northern region, and, in confirmation of

popular belief in Brazil, in the Northeastern state of Ceara.

The states possessing the lowest rate of reproduction in their

rural areas are Bahia and Maranhao, in which the fertility ratio

for that residential category falls in the 63.2 to 73.1 range, only

one category above the rates recorded for the urban portion of Santa

Catarina, Goias, and Mato Grosso.

The greatest differentials to be observed between the urban and

rural rate of reproduction occur in the states of Rio Grande do Sul,

Sao Paulo and Ceara.

Another indication of the influence of urbanity on fertility

may be gained by examining the fertility ratio of the municipio

containing the capital city, for each of the states (Table 6).

Considerable variations occur in the fertility ratio for these

areas, largely due to regional differentials in fertility (discussed

in a subsequent chapter), and because of the varying proportion of

the urban population in the municipios containing the state capitals.

Nevertheless, it may be noted that two of the lowest fertility ratios

obtained (37.6 and 36.8), are to be found in Sao Paulo and the Federal

District, Brazil's largest urban centers, and that all capital

municipios with a population of less than 140,000 possessed fertility

ratios of 43.5 or over.

It is also worthy of mention-that only one capital municipio

with more than 140,000 inhabitants had more than 50 children 0-4

per 100 women aged 15-49; whereas six of the eleven capital municipios

with populations of less than 140,000 exceeded that figure.

Residential Differentials in Sao Paulo

In order to further examine the influence of residence upon the

rate of reproduction, a map of Sao Paulo was prepared showing the

level of the fertility ratio in each of its 369 municipios (Fig. 3).

Due to the small size of the municipios the attempt was not made

to show the size of the population of these political subdivisions.

However, it may be noted that the greatest concentration of people

occurs in the municipio containing the state capital, and in the area



Municipio Containing Number of children under
Capital City Population 5 per 100 women 15-49

Distrito Federal 2,377,451 36.8
Sao Paulo 2,193,096 37.6
Recife 524,682 46.6
Salvador 417,235 42.4
Porto Alegre 394,151 37.0
Belo Horizonte 352,724 45.3
Fortaleza 270,169 52.3
Belem 254,949 49.7
Niteroi 186,309 42.1
Curitiba 180,575 39.4
Manaus 139,620 57.4
Maceid 120,980 43.5
Sao Luis 119,785 44.1
Joao Pessoa 119,326 49.1
Natal 103,215 51.9
Teresina 90,723 58.6
Aracaju 78,364 46.9
Florianopolis 67,630 55.5
Cuiaba 56,204 64.1
Goiania 53,389 57.9
Vitoria 50,922 44.3


Compiled and computed from data in I. B. G. E., Conselho
Nacional de Estatistica, Servigo Nacional de Recenseamento,
VI Recenseamento Geral do Brasil, Censo Demografico
(1 de julho de 1950), Selegao dos Principais Dados, (Rio
de Janeiro: Servigo Grafico do I. B. G. E., 1951, 1952,
1953, passim.

V 0
co >

0 0 A 0

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a- 6
t: <. 0


0 t
t1 o



.0 0 p

t\ o
Sr-4 ^-4

0 r a

0 r4

>1 \ 0
0 3HFi

0 00

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immediately surrounding it, with lesser concentrations of population

stretching out from it in a northwesterly direction. The lowest

density of population occurs in the western part of the state.

A high degree of urbanity is indeed associated with low

fertility, and the greatest urban concentrations may be detected on

the map by observing the areas of lowest fertility which stretch from

the southeast coast (Santos) to the metropolis of Sao Paulo, and on

through the "old zone" of settlement.

The depressing influence on the rate of reproduction exerted

by the state's large urban concentrations may be observed in the

areas immediately surrounding the large cities, which are themselves

characterized by very low fertility. In but a very few instances

does a minicipio adjacent to an area of lowest fertility (under 42.0)

possess a fertility ratio sufficiently high to place it in the fourth

fertility category of 60.0 to 68.9, or above. Other municipios of

fairly low fertility (42.0 to 50.9)which occur at a distance from

the state's largest cities, themselves contain fairly good sized

urban populations.

Highest fertility rates in Sao Paulo are found to prevail in the

highly rural "zones of new penetration" that stretch along the

northern border of the state and extend westward and then southward

4For the distribution of population in Sio Paulo as well as for
Brazil as a whole, see T. Lynn Smith and Alexander Marchants, Eds.,
Brazil: Portrait of Half a Continent, (New York: The Dryden Press,
1951), p.o Ii.

to cover the western portion of the state's territory. In these very

rural municipios, many of them created after 1945, the rate of

reproduction reaches in many cases the astounding figure of 78.0 or

more children under 5 years of age per 100 women in the child-

bearing ages. Were infant and child mortality not such an important

factor in the decimation of the inhabitants in the 0-4 age group, this

rate would be even higher.

Residential Differentials in Bahia

In a further attempt to analyze residential differentials in the

rate of reproduction, a map was prepared of the state of Bahia,

showing the size of the population of the municipios and the level of

the rate of reproduction in each (Fig. 4).

Bahia was chosen because of its contrast with Sao Paulo.

Whereas Sao Paulo is one of the most highly urbanized and white states

of the union, Bahia is very rural and a great proportion of its inhabi-

tants fall into the black and mixed racial categories. Whereas Sao

Paulo has been a major goal of internal migration, Bahia has contribu-

ted heavily to the migratory stream.

A careful examination of Figure 4 reveals that one of the

lowest levels of fertility occurs in the capital municipio which

also possesses by far the largest urban concentration.

The depressing effect on the rate of reproduction exerted by this

large urban agglomeration can be observed in the municipios immediately

surrounding it, all of which possess low levels of fertility, although

in no case as low as that of the capital municipio (under 47.9).



J UNDER 47.9


479-558 = 719-798

11=559-638 M 799-OVER

Fig. 4. The Distribution of the Fertility Ratio iln Bahia by Municipios,
1940. Prepared from data in I. B. G. E., Recenseamento Geral
do Brasil (1 de setembro de 1940), Censo DemT-rnc fico, Porulagao
e Habitago, Serie Regional, Part XII, Vol. 1, (Rio de Janeiro:
Servico Grafico do I. B. G. E., 1950), passim.

* U


247' ~-:


Not surprisingly, the highest fertility ratios were recorded in

the interior and highly rural portions of the state. From the stand-

point of size of population, high rates of reproduction are to be

found especially in the municipios that lie to the southwest of the

state capital.

Attention should be called to a group of twelve municipios all

lying outside the area of influence of the capital city, and

characterized by extremely low fertility. These areas are surrounded

by municipios of high fertility and constitute what might be termed

"low fertility islands." Inasmuch as these subdivisions of the state

territory are characterized by a high degree of rurality, and are

mostly located at a good distance from the state capital, the rural-

urban differential cannot be invoked as an explanation of this


Seven of these municipios lie in the central part of the state

and to the south of it, two lie in the northeastern section of the

state, and three are relatively close to the state capital. Two of

these municipios possess levels of reproduction that place them in

the lowest fertility category of under 47.9, a distinction they share

only with the mnnicipio harboring the state capital itself. The

other municipios fall into the next fertility category ranging from

47.9 to 55.9, still very low for the state of Bahia.

An explanation of this anomaly is to be found in the fact that

the municipios in question are mostly in areas of severe drought.

This has resulted in considerable migration from these areas princi-

pally to southern Brazil, and especially to Sao Paulo.


This migratory stream, composed largely of males in the early years

of adulthood characteristic of long distance migration, has resulted

in a shortage of men in the reproductive years of life, which in

turn has lowered the proportion of women in the fertile ages who are

married, thus lowering the rate of reproduction. An examination of

Figure 5, which gives the origin of migrants lodged in the migrant

receiving station (hospedaria) in the city of Sao Paulo, reveals that

the low fertility rural municipios in question are among those that

contributed most heavily to the flow of migrants from Bahia that

reached Sao Paulo. The only exceptions to this rule are the three

municipios located closer to the state capital. It is probable that

the depressing influence on fertility of the capital city combined

with migration to it rather than to the south is responsible for the

low rate of reproduction in these municipios.

The two low fertility municipios located in the northeastern

section of the state are Juazeiro (on the state line) and Bonfim just

to the south of Juazeiro. In addition to being an area that is losing

heavily by migration, Juazeiro is the terminal point of one lap of

the overland southward journey made by migrants from states farther

to the north. Bonfim is a railway and communications center. It is

likely that in these municipios, the pressures of a hostile environment

are aided in the impetus they give to migration by the wide dissemina-

tion of news of the promised land to the south.5

5For a substantial discussion of migration from Bahia and the
Northeast, see Smith, op. cit., pp. 272-81.

Fig 5 Origin of Migrants Lodged at the Hospedaria
in Sgo Paulo, 1935-1940. After T. Lynn Smith,
Brazil: People and Institutions, Revised Edition,
(Baton Rouge: Louisiana State University Press,
1951), p. 276.

Since the data presented in Fig. 5 for Bahia are for 1935-1940,

the significance of this map is heightened, inasmuch as it covers

the five year period preceding 1940, and thus relates to the period

when the children 0-4 used for the computation of the 1940 fertility

ratio for Bahia were coming into the world.

In order to gauge the effect of outward migration on the popula-

tions of the municipios in question, these were compared with those

municipios in the state possessing exceptionally high fertility--fall-

ing in the 71.9 to 79.8 range and into the 79.9 and over range.

These two groups of municipios of low and high fertility were compared

with regard to the sex ratio in the reproductive ages, and in rela-

tion to the proportion of married females in the fertile age groups.

Table 7 presents the results of the comparison of the sex ratios

in the reproductive age groups in each group of municipios. A low

sex ratio or a low proportion of men in the population aged 15-49 in

the low fertility municipios is evident. The total sex ratio for these

municipios in the age group in question is but 81.8 men per 100

women. In municipios of high fertility there are 97.8 men per 100

women for the 15-49 age group. The same differential in the sex

ratio is revealed in the 15-29 age range in the two groups of muni-

cipios. Of special significance however, is the acute shortage of men

in the low fertility municipios in the most reproductive ages--20-29.

In this age group there are only 76.3 men per 100 women in the low

fertility mnmicipios as compared with 93.9 men per 100 women in those

exhibiting high fertility.



Sex Ratio Sex Ratio Sex Ratio
Municipio 15-49 20-29 15-29

(Municipios of
Low Fertility)

Amargosa 80.4 75.2 77.6
Areia 82.6 76.6 79.0
Anchieta 78.6 69.0 74.4
Andaria 97.8 88.5 90.5
Bom Jesus Dalapa 79.1 76.6 79.7
Bomfim 76.5 72.7 74.4
Esplanada 79.8 76.1 80.2
Guanambi 98.1 96.8 107.1
Juazeiro 76.6 71.0 75.1
Lengois 94.0 86.2 88.7
Palmeiras 93.5 93.8 93.2
Paramirim 67.5 59.3 64.1

81.8 76.3

- --- I



TABLE 7 continued


Sex Ratio Sex Ratio Sex Ratio
Municipio 15-49 20-29 15-29

(Municipios of
High Fertility)

Alcobara 107.3 106.6 103.4
Boa Nova 98.3 91.6 91.0
Camani 106.6 100.1 100.5
Casa Nova 89.5 87.1 88.8
Conc. do Coite 96.4 90.6 94.9
Conquista 95.1 91.4 91.4
Encruzilhada 101.3 98.4 95.5
Ire8e 95.6 90.4 92.0
Nilo Peaanha 101.8 91.8 94.8
Pilao Arcado 92.1 85.0 89.6
Povoes 96.8 96.2 93.2
Pombal 91.7 92.1 89.1
Porto Seguro 103.2 94.1 94.7
Sta. Cruz Cabralia 118.0 112.6 107.9
Santa Maria 79.7 73.4 77.8
Una 136.9 128.7 121.4

Total 97.8 93.9 93.2

*Source: Compiled and computed from data in I. B. G. E. Recenseamento
Geral do Brasil (1 de setembro de 1940), Censo Demografico,
Populago e Habitago, _Serie Regional, Part XII, Vol. 1,
(Rio de Janeiro: Servico Grafico do I. B. G. E., 1950),

The migration caused shortage of men in municipios exhibiting a

low rate of reproduction is also reflected in the proportion of women

in the childbearing ages who are married (Table 8 ). In low fer-

tility m~nicipios the proportion of women in the fertile ages who

are married is much lower than in the municipios of high fertility.

Here again the disproportion between the two groups of municipios

is especially large in the most fertile ages. Of those women who fall

in the 20-39 age group, only 51.5 percent are married in the low fer-

tility municipios, whereas in those municipios with a high rate of

reproduction, the proportion reaches 68.5 percent.

Residential Differentials in Santa Catarina

Estimated birth rates in Santa Catarina municipios in 1940 were

calculated by the Brazilian Institute of Geography and Statistics.

Although the rates obtained for the more rural portions of the state

can be regarded as no more than fair approximations, the rates for

the more urban areas are probably reasonably accurate due to better

registration of vital statistics.

The territorial distribution of the estimated birth rates for

Santa Catarina is presented in Figure 6. As was expected, lowest

birth rates (under 35.0) are to be found in the municipios harboring

the two principal cities of the state--Joinville and Blumenau. The

unmicipios adjacent to them also possess low birth rates. All but

two of the municipios falling into the rather low 35.1 to 40.0 birth

rate category are contiguous with the two highly urban municipios.

None of the municipios falling into the two highest estimated birth



Married females Married females
20-39 as a per- 20-39 as a per-
Municipio cent of all fe- cent of all fe-
males 15-49 males 20-39

(Municipios of
Low Fertility)
Amargosa 27.7 47.6
Areia 28.0 47.5
Anchieta 31.8 51.4
Andaria 30.0 47.0
Bom Jesus Dalapa 34.2 55.1
Bomfim 31.5 53.1
Esplanada 30.8 51.9
Guanambf 31.1 54.0
Juazeiro 33.4 53.4
Lenqois 29.9 47.3
Palmeiras 32.4 52.5
Paramirim 33.8 55.4

Total 31.2 51.5


TABLE 8 continued


Married females Married females
20-39 as a per- 20-39 as a per-
Municipio cent of all fe- cent of all fe-
males 15-49 males 20-39

(Municipios of
High Fertility)
Alcobaga 43.5 71.5
Boa Nova 43.5 71.5
Camaxni 29.0 47.4
Casa Nova 39.8 63.3
Cone. do Coite 41.3 68.4
Conquista 40.9 68.4
Encruzilhada 49.9 81.7
Irece 42.9 68.8
Nilo Peganha 32.4 52.1
Pilao Arcado 42.3 67.2
Pog~es 42.4 70.7
Pombal 39.1 65.2
Porto Seguro 46.0 75.8
Sta. Cruz Cabralia 42.8 64.4
Santa Maria 39.1 63.4
Una 46.8 72.6

Total 41.8 68.5


Compiled and computed from data in I. B. G. E., Recenseamento
Geral do Brasil (1 setembro de 1940), Censo Demografico,
Populacao e Habitacao, Serie Regional, Part XII, Vol. 1,
(Rio de Janeiro: Servigo Grafico do I. B. G. E., 1950),


I Under 55.o
B 35.1 40.0
/2 40.1 45.0
45.1 50.0
60.1 ov re

Fig. 6. Distribution of Estimated Birth Rates in Santa Catarina,
1940. After I. B. G. E., Estudos de Estatfstica Teorica e
Aplicada, Estatfstica Demografica No. 10, Pesquisas Sobre a
Natalidade no Brasil, (Rio de Janeiro: Servigo Gr&fico do I. B.
G. E., 1950), p. 135.


rate categories (45.1 to 50.0 and 5C.l and over), are adjacent either

to the municipios of lowest fertility (under 35.0) or to those muni-

cipios in the next category (35.1 to 40.0) that are adjacent to the

municipios of lowest fertility.

Trends in Rural-Urban Differentials

Unfortunately, among the many deficiencies of the Brazilian

censuses has been the failure to provide age and sex data for the

various residential categories. This important tabulation was pre-

sented for the first time in the sumnrary volumes of the 1950 census.

It becomes necessary therefore, when dealing with previous

censuses, or when wishing to make a comparison of data for the various

census years, to resort to a substitute device for gauging rural and

urban levels of fertility. Such a device is employed in Table 9

The capital city of each state is with one minor exception the

largest urban center of that state. The range in size from the

capital city to the next largest urban center is in most states very

considerable. As a result, an approximation of the rural-urban

dichotomy can be achieved by considering the unnicipio of the capital

city as urban, and the remainder of the state as rural.

It should be noted that in using this comparison, the rural por-

tion of the capital municipio is classed as urban and that the urban

portions of the remainder of the state are classed as rural. There-

fore, if "pure" urban and rural categories could be used in computing

the fertility ratio, the "urban" figure would be lowered and the

"rural" raised, thus resulting in greater differentials.


Analysis of Table 9 shows that Brazil is no exception to the

general rule of lower fertility in urban than in rural areas.

Whether the rural-urban comparison of the rate of reproduction be

made in 1920, 1940 or 1950, the conclusion is the same. Only in one

instance that of the territory of Guapore in 1950, is urban fertility

higher than rural fertility as measured by the capital municipio-

remainder of state dichotomy. The reader will also note that rural-

urban differentials for the territories of Amapa, and Guapore are

surprisingly small.

No significance should be attached to this however. These

territories had extremely small populations in 1950--Amapa possess-

ing 37,477 inhabitants, Guapore' 36,935 people and Rio Branco only

18,116. The capital municipio of these frontier territories con-

tains a majority of the population. 54.9 percent of the population

of Amapa' lives in the capital municipio, and like percentages for Guapore'

and Rio Branco are 73.8 and 95.2. Of the population of these capital

municipios only a small number and proportion are urban. The propor-

tion of city dwellers in the capital municipios of Amapa, Guapore'

and Rio Branco in 1950 was only 11.2 percent, 16.4 percent and 25.7 per-

cent, respectively. In the case of Rio Branco where the "reverse"

differential is observed, the total number of women 15-49 plus the

total number of children 0-4 present in the capital municipio add to

less than 300.

In all states and the one territory of the Northern region of

Brazil for which data is available for more than one census year,


1920, 1940 AND 1950"

Capital Municipio Remainder of State
Region and State Fertility Ratio(l) Fertility Ratio(l)
1920 1940 1950 1920 1940 1950

Acre(2) ---- 67.7 79.0 --- 92.4 93.9
Amapd(2) --- ---- 70.0 --- --- 78.2
Guapore(2) -- -- 72.0 -- ---- 760
Rio Branco(2) -- -- 84.4 ---- ---- 69.0
Amazonas 48.4 47.7 57.4 69.5 77.8 81.0
Par 41.3 43.9 49.7 59.5 66.6 73.5

Maranhgo 30.4 41.1 44.1 55.1 68.8 66.9
Piauf 50.6 53.5 58.6 63.5 75.0 77.5
Ceara 33.7 46.9 52.3 56.6 79.5 80.4
R. G. do Norte 34.9 41.1 51.9 62.2 70.0 76.4
Parafba 42.5 46.1 49.1 64.6 70.9 71.9
Pernambuco 34.1 37.3 46.6 59.5 65.3 69.5
Alagoas 29.1 34.3 43.5 59.0 66.8 72.6

TABLE 9 continued

1920, 1940 AND 1950*

Capital Municipio Remainder of State
Region and State Fertility Ratio(l) Fertility Ratio(l)
1920 1940 1950 1920 1940 1950

Sergipe 31.1 36.7 46.9 53.0 66.7 73.1
Bahia 32.3 38.4 42.4 60.9 64.5 68.1
Minas Gerais 42.8 39.8 45.3 69.9 67.7 68.4
Espirito Santo 45.6 44.9 44.3 74.2 77.8 76.9
Rio de Janeiro 42.7 43.5 42.1 65. 68.2 69.5
Distrito Federal 40.9 36.5 36.8- -- -

Sao Paulo 46.0 34.8 37.6 70.0 66.2 65.1
Parana' 49.7 40.6 39.4 70.4 74.4 77.1
Santa Catarina 40.6 48.3 55.5 73.5 79.3 81.8
R. G. do Sul 39.3 34.1 37.0 70.3 68.5 69.8

West Central
Goids 54.5 66.7 57.9 63.1 70.7 72.7
Mato Grosso 53.1 58.6 64.1 71.0 74.0 78.4


1920 data from T. Lynn Smith, Brazil: People and institutions,
(Baton Rouge: Louisiana State University Press, 1947),
p. 238. 1940 data compiled and computed from data in I. B.
G. E., Recenseamento Geral do Brasil (1 de setembro de 1940),
Censo Demografico, Populaq.o e Habitagco Serie Regional,
(Rio de Janeiro: Servigo Grafico do I. B. G. E., 1950, 1952),
passim. 1950 data compiled and computed from data in I. B.
G. E., Conselho Nacional de Estatfstica, Servigo Nacional de
Recenseamento, VI Recenseamento Geral do Brasil, Censo Demo-
grafico (1 de julho de 1950), Selegao dos Principais Dados,
(Rio de Janeiro: Servigo Grafico do I. B. G. E., 1951, 1952,
1953), passim.
(1) Fertility ratio determined as follows: children under 5
women 15-49
X 100.
(2) Territory.

fertility has increased from one census year to another in both the

rural and urban portions of the population. The same conclusions

may be reached concerning the Northeastern region with the single

exception of a small decline between 1940 and 1950 in the rate of

reproduction of the rural portion of Maranhao.

Of the six states in the Eastern region, three (Sergipe, Bahia

and Minas Gerais) follow the lead set by those in the Northern and

Northeastern regions in that they show a consistent increase in

fertility in both the urban and rural categories, from 1920 to

1940 and from 1940 to 1950. The only exception is the slight de-

crease in the rural portion of Minas Gerais from 1920 to 1940, fol-

lowed by an increase from 1940 to 1950, bringing the 1950 fertility

ratio practically to the level of the 1920 one.

In Espfrito Santo a slight decrease is seen in the urban portion

from census year to census year, and a slight decrease is observed for

the rural areas from 1940 to 1950. The rate of reproduction in urban

areas remained practically unchanged in Rio de Janeiro from 1920 to

1940 and increased in the rural portion during that period. The

Federal District which is almost in its entirety urban showed a de-

crease in fertility from 1920 to 1940 with fertility in 1950 remaining

practically at the 1940 level.

In the rural portion of the four states constituting the Southern

region, the national trend of increasing fertility is observed in

Parana, Santa Catarina, and Rio Grande do Sul. Only in Sao Paulo is

the opposite tendency in evidence, the rural fertility ratio for that

state having declined from 70.0 in 1920 to 66.2 in 1940 to 65.1 in 1950.

In the urban areas of the states in the Southern region, only

Parana and Santa Catarina show a consistent trend. In Parana this

amounted to a very sharp decrease in fertility from 1920 to 1940,

followed by a slight decrease from 1940 to 1950. In Santa Catarina

on the other hand, fertility consistently increased from 1920 to

1950. Sao Paulo and Rio Grande do Sul both showed the same type of

variation--in their urban rate of reproduction--a decrease from 1920

to 1940, followed by an increase from 1940 to 1950, which however

was insufficient to bring them back to the 1920 level.

In the West Central region, composed only of the states of Goias

and Mato Grosso, a consistent increase in the rate of reproduction

is also observed in the rural section from 1920 to 1950. In Mato

Grosso the same tendency is evidenced in the urban section. In

Goias a slight decrease occurred between 1940 and 1950 in the urban

category, preceded by an increase from 1920 to 1940. This decrease

was not sufficient however to bring the 1950 figure below that for 1940.

It is difficult if not impossible to determine the fluctuations

in the birth rate for Brazil except for a few areas of fairly adequate

registration. It is probable however, that the birth rate has remained

more or less constant, and that the fluctuations observed in the fer-

tility ratio are to be explained in large measure by two factors: a

decline in infant mortality and continued rapid urbanization.

Infant mortality in Brazil is undeniably high. Since the fertility

ratio is based on children 0-4, a reduction in the deaths of children

under one year of age, will cause an increase in the fertility ratio


if the birth rate remains the same. Similarly, a reduction of

mortality in the 1-4 age group will have the same effect. When a

high level of mortality in the tender ages prevails, caused largely

by infectious and communicable diseases, considerable reductions in

the deaths of infants and children may be accomplished by the intro-

duction of a few simple methods of sanitation and child care.

Counteracting the inflating effect on the fertility ratio of

reduced mortality in the first years of life, are the pressures of

an urban mode of life that are known to have a depressing effect on

the birth rate. Thus it is possible that increases in the fertility

in states such as Ceara and Sergipe, where urbanization has been slow,

may be due to a reduction of the mortality of children under five

and especially in the 0-1 age group. In states such as Sao Paulo and

in the Federal District, where fertility has decreased or has shown

little change, it has probably done so in spite of reduced infant

mortality, as a result of rapid urbanization.

Although infant mortality rates are available for only a few

areas in Brazil because of the general under-registration of births

and deaths, those for the Federal District and some of the state

capitals where more or less adequate registration of vital statistics

exists, may be indicative of the general trend.

Mortara gives fairly satisfactory estimates of the number of

deaths of infants under one year old per thousand live births in the

Federal District for the years 1939-1950 (Table 10). This table

clearly indicates that infant mortality steadily decreased in the


Federal District during the 1939-1950 period. In view of this, the

rapid urbanization that the Federal District has experienced,

increasing in urbanity from 46.2 percent in 1940 to 74.8 percent in

1950, must be adjudged the major cause of the lack of change in the
rate of reproduction in that area from 1940 to 1950.



Year Infant Mortality

1939 177.96
1940 165.93
1941 168.95
1942 148.48
1943 137.07
1944 147.07
1945 118.74
1946 118.23
1947 108.48
1948 110.17
1949 101.37
1950 100.50

*Source: I.B. G. E., Estudos de Estatfstica Tedrica e Aplicada, Esta-
tistica Demogrifica No. 14, Estudos Sobre a Natalidade a
Mortalidade no Brasil, (Rio de Janeiro: Servico Grifico do
I. B. G. E., 1952), p. 16.

Similar conclusions can be reached by an examination of

Table 1 which gives the probability of death-per thousand and life

expectancy for age 0, 1 and 5 for the 1939-1941 period and for 1950

in the Federal District.



0, 1 AND 5, IN THE FEDERAL DISTRICT, 1939-1941 AiD 1950*

Probability of
Death Per Thousand Life Expectancy
Age 1939-1941 1950 1931-1941 1950

0 159.24 98.02 42.31 52.51
1 66.52 36.75 48.23 57.16
5 6.09 3.05 51.32 56.75

*Source: I. B. G. E., Estudos de Estatfstica Tedrica e Aplicada, Esta-
tistica Demografica No. 13, Pesquisas Sobre o Desenvolvimento
da Populagao do Brasil, (Rio de Janeiro: Servigo Grafico do
I. B. G. E., 1951), p. 38.

Not only has the probability of death for the under 1 age group

been substantially reduced and life expectancy increased, but the same

is also true of those persons one year old and five years old, indicating

a reduction in mortality at all age levels under 5.

That reduced infant mortality has not been restricted to the

Federal District can be seen from Table 12.




Infant Mortality Rate
Years next Years next
to 1940 to 1950


Sio Paulo 135.21 86.05
Recife 267.03 243.56
Salvador (Bahia) 201.40 162.57
Porto Alegre 187.46 107.26
Belem 159.67 110.96

*Source: I. B. G. E., Estudos de Estatfstica Teorica e Aplicada, Esta-
tistica Demografica No. 16, Pesquisas Sobre a Natalidade no
Brasil, (Rio de Janeiro: Conselho Nacional de Estatistica,
I. B. G. E., 1953), p. 84.

Although the figures given are estimates most of them are probably

reasonably accurate.



The racial composition of Brazil's population and the differen-

tials among the rates of reproduction of the various racial groups,

are of great interest. Brazil is truly a "melting pot" into which

have been introduced representatives of all the major racial stocks

of mankind.

First among these were the caucasoids, in the form of Portuguese

officials, soldiers and settlers who found the country already in-

habited by members of the mongoloid race, represented by the original

Indian inhabitants. The Portuguese were soon followed by Negroids,

slaves imported from Africa for the purpose of working the mines and

plantations of the expanding economy. In more recent times, large

contingents of Portuguese, Italians, Spaniards, Germans, Poles and

other caucasian stocks, and a large number of Japanese have been

introduced into the country; the latter together with their descen-

dants numbered in 1950 more than 300,000.

Largely due to the abolitionist zeal of a Minister of Finance (Rui

Barbosa) who in 1891, shortly after the abolition of slavery, ordered

all records pertaining to the slave traffic destroyed,l much less is

known about the racial composition of the Brazilian population of a

century ago than would otherwise be the case. Among our principal

1Arthur Ramos, The Negro in Brazil, (Washington: The Associated
Publishers, Inc., 1939), p. 5

sources for this information are, in addition to such official records

as survived, the estimates and accounts of those indefatigable globe-

trotters who for various reasons left their Victorian comforts of

home to take up residence for shorter or longer periods in what to

them must have seemed, at least on departure, the barbaric and primi-

tive shores of Brazil.

One of these, Thomas Ewbank, writing in 1856, cites a newspaper

article appearing in the Diario of December 11, 1847, written by a

"Senhor de Sousa, a native statistician." According to this authority,

the population of Brazil was at that time, 7,360,000, a figure which

excluded "untamed Indians," estimated at 800,000. Of those included

in the total, 2,160,000 or 29.3 percent were classified as white,

3,120,000 or 42.4 percent as Negro slaves; 1,100,000 or 15.0 percent

as free colored (meaning mixed-bloods); 800,000 or 10.9 percent as

domesticated Indians; and finally, 180,000 or 2.4 percent as free
blacks. It should be stressed that this estimate as well as the many

others pertaining to the population before 1872, the date of the first

census, are at best educated guesses.

The figures cited by Ewbank, even if containing large errors, are

eloquent testimony of the extent to which racial miscegenation occurred

in Brazil, practically all of it between Portuguese and Negroes or

Portuguese and Indians, since little crossing between Negroes and

2Thomas Ewbank, Life in Brazil, or a Journal of a Visit to the Land
of the Cocoa and the Palm, (New York: Harper Brothers, 1056), pp. 431,

Indians is believed to have existed. Consequently, the Portuguese

contributed to the racial composition of the population far out of

proportion to their numbers.

The Portuguese were themselves the products of prolonged and

extensive miscegenation. Having been overrun by various nations

and tribes, and finally going through several centuries of Moorish

occupation, Portugal acquired as a result of the many contacts with

alien cultures, a "social plasticity" not possessed by any other

European nation. The Portuguese colonist was always ready to com-

promise and brought with him no fixed prejudices. Because of the

superior status which the Moors enjoyed in Portugal for centuries,

the Portuguese considered them, including even more Negroid types as

worthy of respect, prestige and even marriage.

These attitudes of the Portuguese combined with the scarcity of

white female settlers in Brazil, served to produce a period of great

miscegenation. The attempt by a nation of 1,200,000 people to

colonize effectively an area as vast as that of Brazil, was a stag-

gering task. Indeed in 1550, half a century after discovery, only

3,000 colonists, a large majority of them men, resided in Brazil.3

Under these conditions it became a matter of necessity and even

policy to permit if not encourage miscegenation with the local popu-

lation. That miscegenation did occur on a large scale first with the

3Fernando de Azevedo, Brazilian Culture, (New York: The Macmillan
Company, 1950), p. 31.

Indian and then with the Negro is unmistakable.

It was during the first century of colonization especially, that

the mixture occurred between the Portuguese and the Indian:

The European landed sliding on nude Indians; even priests
of the Company had to go shore with care so as not to become
immersed in flesh... The women were the first to give themselves
to the white men, the more ardent ones rubbing themselves against
the legs of those they supposed to be gods.

Truly the Portuguese have never been surpassed or equaled in their

miscibility. On arrival the Portuguese "mixed himself deliciously with

women of color...multiplying himself in mestizo children," so that a

handful of aggressive Portuguese were able to gain possession of vast

areas in competition with other colonial powers. Another factor in

this miscegenation was the Portuguese ideal of beauty, acquired from

prolonged contact with the Moors. This ideal, contrary to that in

existence in other parts of Europe, was that of the enchanted Mooress,

a delicious type of dark women with black eyes, wrapped in sexual
mysticism--always wearing red, always combing her hair or bathing
in rivers or in the waters of haunted fountains.5

It is easy then to understand why the Portuguese felt no reluctance

in entering into sexual relations with the Indian woman who strongly

resembled the physical type idealized by them. Indeed, even if they

had not a taste for exotic women, there would have been no other choice.

At the time when the Indian population along the coast had either

Gilberto Freyre, Casa Grande e Senzala, (Rio de Janeiro: Jose
Olympio, 1946), Vol. 1, p. 209.
5Ibid., p. 93


been driven inland or been almost completely absorbed, a sufficient

number of Negro women were imported as slaves for the process of

racial mixture to continue on an extensive basis.

The latifundium was an important factor in the fostering of

racial miscegenation. Conditions on the great plantations of

colonial Brazil were highly conducive to the fusion of the races.

Oliveira Vianna states that

In reality during the Colonial epoch the latifundium
was the breeding field par excellence. In it the whites--the
owners, their relatives, their agregados--exercised a dominating
role. They were the sires, the great impregnators of the
Indian women, the fiery stallions of the Negro females. Some
of them, even among the most noble, left only "filhos naturaes
e pardos" (illegitimate children and mulattoes) according
to the testimony of the Conde da Cunha.... The hale bloods,
are, then, a historical product of the latifundia.

The female Negro slave came to play an important role in Brazil-

ian family life. A Negro boy was the first playmate of the slave-

owner's children and a mulatto girl more often than not initiated the

son of the master into sexual experience. The superior position of the

slave owner, aided by a widely prevalent double sex standard, facili-

tated and encouraged the fusion of the races and a proliferation of

progeny who were half white, and who in turn fused with others of

varying combinations of color until according to the source quoted by

Evbank there were in 1847 more than one million mixed bloods in the

country. Rugendas writes that

F. J. Oliveira Vianna, Populaqdes Meridionaes do Brasil, (Sao Paulo:
1933), pp. 73-79, quoted in T. Lynn Smith, Brazil: People and Insti-
tutions, Revised Edition, (Baton Rouge: Louisiana State University
Press, 1954), p. 149.


marriages between white men and colored women are very
common in the middle and lower classes, and there is nothing
shocking about them some occur even in the higher classes.
They only are formalized when a white woman from a rich and
weil-known family marries a man of very dark color, but such
unions are reason for surprise rather than censure.7

Perhaps the situation with regard to the racial composition of

the Brazilian population has been best summarized by Oliveira Vianna,

who, after a lengthy discussion of the great variations present

among the Brazilian Indians: the Negro slaves and the white stocks

that contributed to the racial make-up of the nation, states:

These three fundamental races so different and diverse,
fuse in our territory in varying proportions, according to
the greater or lesser degree of the concentration of each at
this or that point of habitable territory. In some regions,
Indian elements dominate and preponderate in their misce-
genetion with the whites; in others, Negroes are the principal
basis of the fusion; in still others, the percentage of white
elements is higher, and the emergent ethnic type reflects in
its characterization this particular condition of its genesis.
Because of this diversity in the geographic distribution of
the three formative races,regional ethnic types do not re-
veal the same unity of morphological characteristics, or the
same identity of temperament and mentality; which results in
the impossibility from the point of view of anthropology and
ethnology, of binding them together in a single national type.3

The Meaning of "Color" and Census Color Categories

In discussing the racial categories in Brazil, it is necessary

to keep in mind the peculiarly Brazilian concept of color. This con-

cept is based largely on social status In cases in which the indivi-

dual is of mixed blood, and is neither obviously white nor obviously

7Joao Mauricio Rugendas, Viagem Pitoresca Atraves do Brasil,
(Sao Paulo: Livraria Martins Editora. 19417, p. 95.
0F. J. Oliveira Vianna, Evolugao do Povo Brasileiro, (Sao Paulo:
Monteiro Lobato e Cia., ca. 1922), pp. 121-22.

black, his classification into either the white,black, or mulatto

category is largely dependent upon his position in the social

pyramid, always with preference given to the lighter color.

That this situation is not of recent origin is evidenced by

Koster, who writing in 1817 commented upon the malleability of the

definition of "white", pointing out that a mulatto will enter a

religious order or the magistrature so long as his documents say he

is "white", although he obviously is not, and relates an incident

which clearly illustrates the point.

In conversing on one occasion with a man of colour who
was in my service, I asked if a certain Capitam-mor was not
a mulatto man; he answered, "he was, but is not now." I
begged him to explain, when he added, "Can a Capitam-mor be
a mulatto man?"9

The situation regarding the changing definition of a man's

color according to his social class, is well summarized in the popular

saying that "a rich Negro is white, and a poor white Negro." Dark

mulattoes may be found in the membership of exclusive upper-class

clubs and associations in contradiction of the discriminatory

attitudes assumed by the club. The explanation usually given is that

these men are not regarded as being colored. To them have been ascribed

such qualities as honesty, wealth, good manners, professional competence,

and so forth, that raises them out of the mulatto category and places

9Henry Koster, Travels in Brazil, (Philadelphia: M. Carey and
Sons, 1817), Vol. II, pp. 175-76.

them on the same level as white people.10

As a result, the racial categories presented in the Brazilian

census do not, as is also the case in the United States census,

correspond to an anthropological classification of the population

into racial groups. No doubt, many who are classed as white more

properly belong in the mixed category, and many who are classified

as mixed-bloods, would be better considered as black. Since to be

considered black is by far the least desirable of the three choices,

the number that anthropologicallyy" belong in this color group is

probably the most distorted.

An examination of census results and procedures with regard to

color in 1940 and 1950 may throw some light on this question.

In 1940, the census enumerator was given the task of classifying

the persons interviewed as to racial affiliation. It is probable that

there was a tendency on the part of the enumerator to place some

persons who might consider themselves to be white in the mixed-blood

category, and to place others who might consider themselves to be of

mixed-blood in the black category. In the 1950 census, "the declara-

tion f/of colors was left to the discretion of the person being

enumerated, lending in this manner, greater veracity to the results
of the census."

10Emilio Willems, "Race Attitudes in Brazil," The American Journal
of Sociology, Vol. LIV, No. 5, (March, 1949), pp. 402 ff.
1TV-HRecenseamento Geral do Brasil, 1950, Estado de Sao Paulo,
Censo Demografico, (Rio de Janeiro: I. B. G. E., Conselho Nacional de
Estatistica, 1954), p. xviii.


This procedure which the National Census Commission thought would

result in greater veracity of the results of the census, could be

expected to result in the self-enumeration of many persons as being

mixed, who would probably be judged black by the census enumerator,

and in the self-enumeration of others as white who would probably have

been placed in the mixed category by the census taker.

Rios, speaking of the racial categories as presented in the 1940

census states:

Frequently among us, the individual enumerated as black or
mixed by the overcautious census taker, is not so classified by
his friends or associates /for, it might be added by himself _7.
Sometimes the position he holds or the s atus that he occupies
confer upon him an artificial whitening.2

The Brazilian Institute of Geography and Statistics, in analyzing

the results of the 1940 census states:

With regard to whites one can affirm with certainty that
the number enumerated considerably exceeds that which would
result from a classification based on objective criteria.
The number of blacks enumerated would on the contrary be
considerably inferior to reality if the declaration were to
be made by those being enumerated, but one must remember that some cases numerous mixed-bloods were included among
those classed as black.
The number of mixed-bloods enumerated probably is below
that which would result from an objective classification, and
the number of mixed-bloods classified as whites is probably
larger than the possible excess in favor of the mixed bloods,
in the exchange of classification with the blacks.13

Thus it would seem that when the enumerator classifies the

enumerated as to color, the tendency is to place the enumerated in a

12Jose Arthur Rios, '"Mdanqas na Distribuigao Racial no Estado do
Rio," Sociologia, Vol. XII, No. 2, (maio de 1950), pp. 131-32.
13Quoted in Ibid., p. 143


darker racial group than that in which he would place himself.

Some confirmation of these suppositions is to be found in the

data presented in Table 13. Of particular interest is what other-

vise would be the startling decrease of blacks in the population from

1940 to 1950. Although as will be seen below, the black segment of the


TO COLOR, 1940 and 1950*

Number Percent
Color 1940 1950 1940 1950

White 26,171,778 32,027,661 63.47 61.66
Black 6,035,869 5,692,657 14.64 10.96
Yellow 242,320 329,032 0.59 0.63
Mixed 8,744,365 13,786,742 21.20 26.54
Undeclared 41,933 103,255 0.10 0.21

*Source: I. B. G. E., Conselho Nacional de Estatfstica, VI Recensea-
mento Geral do Brasil, Censo Demografico (I de Julho de 1950),
Estados Unidos do Brasil, Selegao dos Principals Dados, (Rio
de Janeiro: Servico Grdfico do I. B. G. E., 1953), P. 1.

population reproduces at a slower pace than the other racial groups,

it seems unlikely that they are failing to replace their numbers even

considering the loss to their racial category that occurs when inter-

racial mating produces mixed rather than black offspring. It would

seem likely therefore, that the self-enumeration of color used in the

1950 census tended as expected to reduce sharply the number of people

included in the black category.

This tendency can be clearly seen in Table 14. The very large



STATES, 1940 AND 1950"

Region and State Percent Black 1940 Percent Black 1950

Acre(2) 14.2 5.2
Amazonas 7.2 3.4
Para' 9.5 5.4

Maranhio 27.6 15.8
Piauf 31.9 12.9
Ceara 23.3 10.4
Rio Grande do Norte 13.4 9.5
Parafba 13.7 13.0
Pernambuco 15.5 9.3
Alagoas 13.8 7.4

Sergipe 18.7 14.2
Bahia 20.1 19.2
Minas Gerais 19.3 14.6
Espfrito Santo 17.1 11.9
Rio de Janeiro 21.3 17.7
Distrito Federal 11.3 12.3


TABLE continued

STATES, 1940 AND 1950

Region and State Percent Black 1940 Percent Black 1950

Sao Paulo 7.3 8.0
Parana' 4.9 4.3
Santa Catarina 5.2 3.6
Rio Grande do Sul 6.6 5.2

West Central
Mato Grosso 8.5 9.7
Goias 16.9 10.1

Brazil 14.6 11.0

*Sources: 1940 figures compiled and computed from data in I. B. G. E.,
Recensearento Geral do Brasil (1 de setembro de 1940),
Censo DemogrEfico, Populaco e Habitaggo, Serie Regional,
(Rio de Janeiro: Servigo Grifico do I. B. G. E., 1950, 1952),
passim. 1950 figures compiled and computed from data in I.
B. G. E., Conselho Nacional de Estatlstica, Servigo Nacional
de Recenseamento, VI Recenseamento Geral do Brasil, Censo
Demografico (1 de Julho de 1950), Selegao dos Principais
Dados, (Rio de Janeiro: Servigo Grafico do I. B. G. E., 1951,
1952, 1953), passim.
(1) For 1950 the populations of Amazonas and Rio Branco;
Para and Amapa; and Mato Grosso and Guapore, have been com-
bined to assure comparability with 1940 figures.
(2) Territory.

reduction in the proportion of blacks frorn 1940 to 1950, which in a

number of states amounts to more than one half percentage-vise, could

only be the result of a self-classification into a lighter racial

group, in most cases probably the mixed category. It is possible

that some of the state census supervisors for 1940 in the Northern

and Northeastern states, where the discrepancies are the greatest,

believing that the population should be darker than the census data

revealed it to be, took it upon themselves to "adjust" the figures

to coincide with their notions. At any rate the states showing the

sharpest decreases in the proportion of the black population from 1940

to 1950 are located in these regions.

Inasmuch as the reproductive powers of both whites and blacks

contribute to the mixed category, it might have been expected to in-

crease, as it did in the ten-year period from 1940 to 1950. Part of

this increase would seem to be the result, however, of the inclusion

of persons formerly classified as black.

Contrary to expectation, the proportion in the white category

actually showed a slight decrease from 1940 to 1950 (Table 15). This

expectation is engendered by the process of the "whitening" of the

population discussed below, by the ever increasing proportion of

whites recorded in censuses previous to 1950, and by the expected tend-

ency of self-enumeration to place a larger proportion of the population

in the white category.

Decreases in the proportion of white people from 1940 to 1950 are

especially sharp in the Northern and Northeastern states, where the

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^I OKA sK&nar cHIm. ft* «art mmX «r«w inft tdto H»U9r cttlM tewt •im fsMA ttat ftHUl^ iitymw m «laM ^imm (iimn'ill W «Mrt» •fnUiiUiiii}, IMCVMM. fHapau^ W «>& «« ^ 9W««r «Mi« U» «iri«si:«ii»a m^nmntt mman «aa «iMM< vtw Hoait «• tarn lav latto i U g tMk itm titlttlMWp m* fit, w tt mm alter oaofttritaf 1— ipwmta* * t mm nl teellw la tte Mitli rttto. (t) 4h «ifti9»ta of oBote fteriiUitr « t3» imOm or t«tl«l otKtw, M rwpi Uw. , t$A litntnMT iSMwt ttet is tto SMUa apiftai. m te iMt etkw orMia, fivrttUty is tmmmkr «fti?: teka Mtfar «««i»9f, «« » V » tmfm r mUJai owott, %at tcASmt is ^Iw Awt itei« mm^mtrrum* ti— iil.V' ia «» Ami «r vMov MUlMfljr. is iMjti Itiifter la tia as9«^ «lsa»9.>. (3) «ka tallgtaii aifftaatMala oloa ««Maatmta ite Mia o^ m w b i iarrf . ^ti ia fOBtrglHiy €te SKka Wrtb ntta. Ite nptrioditgr at iMUa aot «ri»a ««rtililBr oair llw HiiR it ^mjk imft U tftsir fPMftar taU»a(4» «r viftcw .•5 Ckiaik V

1$ , -— II... laliwtM ttei tyit «hi y«ctoi ^ —!. of iwwBli voMlta ta Iiwmm mftlwr Unb i» tfet MHter cf Uvtat «hU4rM* Tte mmm tnm •M «kM ttetr mm tmk»,^ rtmm ftaiiaipi «••• Biiwl i mtt t %r Zmmm« «I» aXm tmmA ttet Sa A tlaSar of tlw Hjhiii y t jwlrttw i V 1%wft a T iai Inl MvMlai ttakt IB ttttl mMm iwalffWtaa MfVMwUaU la firUUty ava vary alwnplar tefSaid. " f a n l apt i wH aa Mflaa f<«r ftnafaaf g aa la 199C« I93I yartraj ta aaaaalaataA tmm tha urtaa laraA aaA acrlaaltaral* tutMWUI, pattaaaa of wfjaaal

19 hmlm %^ • . dadAly im tl» volaa tgipt oer Mtf»-^ ^aAltjr croM. ''^ timr, «rt«iat

sc mA ctadid In •itttli itaft Kte oomw. ..«#»»• jaarMMtvft cviAnM tiMt t]M Mftaml iMirnii of tte ft«« fartloA oT tk» mImvA yosMl** tl«B U Xwi tbM tht% cr tjhi cSMMa. ^^ A^MBi Itaarl iik» VMt • iMTfUy MalogiMl ti M f^ Mfc to ttfu f\HWttAls la fta^illty, seltt ttet fiotpi twii womi la tm rt m mm fynrtito tiMai Mttmi 1mm mmm, %«% tlMt tlwir AmmttmAm mrt thU KttJPitatts «r tartavitar^ m it i« wprlia %Qr mm. ^3^ tMftlMly anrlvta oft tbt mm mmImIm* Mlag 19iO mmm «Mft» Ml wqiUlMi tM Mjer fMttr rMfiawWi «ar tk» ttf^MMttiO. If «fli« thit IliB fliiMlgB hmnt, IM* » M2a!Uv»]y MBki««tvlMoA Mytk Mrtala sMtoMlitiMf %it Mmm» Unqr mi •MA thMi^ Ut1u( 1ft eitlMy tkM M0i tr tlM' 9w ftMt4|ft

22. a* Also pi' t iMHiit fttt>UUt;^ reuos tar •cpr&aiXtir^' ' ::i^i^c!^, .:> W 29iD. «wM «•«» elMTlgr fll»a«r itet w Mrty m XilQe « t lCT wi at tal toAtiatilal stkt** life %te alowMt *«!•. «Im MfirwvKUal ta fwtf la limwiiir wA lEUk Mte « taCwml lug naXjfvia . iHBil aaoJal


Vtao* «Biaian tOm ivMwrtwA 4t^ ttmtlmiSfys UiXmk Ssaqpto of mdfmi, iMtlM Ommm IW«» «mk| AomM tl»t fftyiUitgr ! «> > 1a trim tte fteB Ubnwf «o fto itani «WMr Mufetgnry ^ »( » UtOatK So«ta& olMM iimmwdtelt nw* taaaA to to Huyriiiaciy vnlKttoM te liMP«iUty Of awrUM l» 2$00 «Mi« Mttal ilcmi te mm m m Mm W i m •tmJmmm)* <« • 0N«> «f «itu« t««laf fMi liji'iialiMilily 90,O0G yapOatlm, la a gmv of viUagM vitai fawfr fliM 9«00C lufcriUltaata, aa& la raral tmm oMmaiMl SavOTM itortatUa W^waea at i c att flB aai favUUV anA totoMa cittaajattoaal atatao oaA fn^liVt «aa t«ia& %y Setoatota Aa laittor aeqpMrlaaa toSA CMi avM i*ia tto «a«ariaca «m aala to«MMft 0Saftlar aAMaMaaaX •rai«a. Mltk wpirt, to faUfftoai «irfi»r«i%lala, CMtoUaa ««(« fttMA to to hbm larttla tto» firatoatoito, aaft tto

23 «MisrM4 Aifftl In Mrtilit '--' f«r«iU«ar Ui tilt iMt linb Owtc^ naWt, ftaaA tiM mmX MM fi«rmi«i/ aaft »Iihi er iwiMH»y» & oat «M« tlittt «r tiM aatiw «M«* fiatXlM la 2an» oiUM, tht aia m i aHlbar «r AUiMa «at oiailar ta laaillM Vila IMNN ^«latt at laat mm #1»000 «Ma la mm i*aM koMM «M« voriik ftraa #1,000 ta M^MO. . . M «lw attar aaft «er tika aaala ttw avMaft a«*ata af ddUiaa wwa Mnpifiay la^pr la tmAUm mtm hmm vaSMd at 110,000 or aota tlHa la tiMMW of tte #^,000 «a |U»»C00 elaM... 3lH ian «f a ttMti aoMotaiUa iMMMooa fiwtlUtar aatii— wt8 ^i^^m <» ••• of tto lOior aMaoaio tto to liiiiiiarti 9lmt* ia iMollaiA ^ ae a ^ ^ yaatlalaaAtly aa vi oaiiaaKtetai af tint k* natoA, taa Wtlimtng of a ravarMX «r tlM MflknattaU ta JBOSWESOBB MMd^ SMoait onl MaiKltfleal vat. nrti •»• i, t » i»^). 'i^rM* V. SMoatate, '*Blf»Maallai PnrttUty la «t» BmI >«^^


^ «iUMI. fSaUi^Pb IAh^ iMUvt viMlte wtvM wkpi aai* I^mpIAJ^ Hmr «te ««Mipi» iwen. fc u wr ^ ^ 199^» * !«>•• j>ro i »« q B tf fmljp Iwi i vtvNi wtm la tto iiMMl tfi «rM9«* •Naiiittifag «te tet» fer ifi, ttm ymm mnmmfUH villi ymiaw fl«itfl«i* mA Om fjiatp twi mvi to te Mm ftrtil* ttM tiM MBtlD a . b ww u ^ WllMic alM WMI «h* »« ftk a Haiir or «»l» jiiHwffti Iqt tlw litlflMl iiaUli tiwvy te «» ttMMa tog— mk UaetAUi^t ^«t awwlMlii tiMt %1m iMMM «f Th» slatr «r fMtiUV mtM la W m/tm ^ m* V fl9rlar« wmmimtt ftet Uilh 9*0i& rtliJMiM fmOm «• t«*Mr ltarttUV« ^nt mom l«t«v r, tofit aiita itnti mm fmaA ta Ihm a kB ^^MaiMr F* VUJLanu V taiitt OHaali " ' %««(kMaf U lirtk Bfttaa «r


2tJ lag otofMtivtt Miltolv/ %MMSfiM ^MfjMM ^cRStgr^ thr " * i..^ aiia«te mA Sidtli Ui «»£» 4Mii^ «r «lffn«iiial «MrtUttgr, f^waA ywiitioa Hits t^UrttirnflMt pEwidlt, tte iWiiurii $U^tt mmm taU vbltM cut W»0nm, Ui Ikocii flMwIi Mft k^^^^9iam Tm^titm, mat in wmdt Dt tsie five t9if»<** >*it#(» it v«nl 9ir«w. ^^rt. ^^:n


itttiiBlltl «r«q» cf Wlh VMM. teiipt far tk ytflMtioM tt a» vroKixs.^' 0^ UK) rwrmlity «r fto KiiitottaBt^ «Nrt mmm Uttte «• %i mU «tait rafldMa. itfftiMiiM. Xa flwtf tl» vMttlte oT Ikt wwViti la tMM mi ite two yt ^ Mritta t M«tt«m «sr te fwiHri lif m fMXiMii M% KjMiMliM f«l« te «ki liiitt tt«lM tMil to lie It^mmmm »»i«>iH^t WWf > (iiMYovtt iMM.«m


ar fm^lif intitltutlcm 1» broisglht data to Tat^cx ry^ ^r^" vj^-^ait of dlfffenaiiti«l f»rttl*V TSaei'Vii 4*%« ?«jdfc!oRt« tbrat 2liWcl/:>!» ii r';jj '??co5-:Jtl:.»n to the Anal t»i* ftafUlitr li aitfiiftmHiagr Mglwr ww^ «i^i«« «lto tani %Mi «Hi%ttt %7 MkligleM Htm (eaft sm Wwfrtj MMiMttvt Vqt tm «atliBr WMBcsgr orlqr ao ofmMT ^ ^$9 *l»^-> Oowii^ mft 1M« WMI fInrtlUtr «M Mri*NBMMnlt 8totol, Mft lnHWH |l«nUi^ Md «feM» "iimiimMi icfiMi* tMMissr «ktrti«toi »« sMwtna MM fflmt tolt te iRwvto fUeo. tniiiwrti m ttoM tdthamMaOm

sr? not •Mttr awgof tbom anrted teftnt tl»t tet* Aaa^ibav eane^MUcD VM0MI iqr «ttt «tianr U «lwt tartUt^ i« MtfiMimly a n a Ut i A with «aa««A (2| ytor ) ytrMM. lBMfppr« In MHpato ifeKt «ldt iMgr ligAl wmfUmi$, ikew #i lijt t r to %t fitUlly lit Mww ft»tOi^ ^ yf^ |i*y 1^ 4BMMMA ItO MHHMlS^ MA li m* — Tyili «f Aste far HrpftMim, lli9l«r it»lii tiwik tto Ml#ar Maifli mtMi MA 1i» M^mv tRftefc AMnyit mttMi w iM tiMl iKMit tvtulL ]irov3sMiil> Qw IKP iAMN AmMI ^tfAfttV iMt JiitMl mffg «nA »rrt u««f«d>ti<<^i.aeer* i#Minmt «f ddllA wm aite V M^it vl* itiCMt «taft te l^M («Im tet* cT tto iMt iivttUtar «w MMfti 2«ii«r to «%« ftati to Mml «te% aXttlMigk mn toffttoA «toB^ to iijiftli 4m ic ftm imk «r fWMMft oMMi Htofftotoy •wny tottwUffi ggteto to tto MMtotiM toMt toi Atff%iw»tol «itoto toiur.'^ '^ton f . toyto»* «—A toili to teMMii—^ (totoc toi^ 57aia& 1. totorl* toitotoirtA IM^ toitoMi* iHwtoitoMt MniicitoM to TtoitSiiiiito WfWffl li TtTSaBB^flrrKtoErj toitoto* to to totowttoiA to M uji ar toi o, X9$3)> »• UEt.


£9 of «kM9 rtetm is lM»ifcav»ly tu ytaiw u t V iiliMMittw oT tl» «— ^T^ 9taill«t or diffwtMtal fiMtiUiar U IratU tmrn i, mU aart tittte ftwrtfi Hamtoa V lirtt i>« fl» l9l0 t, ftp w»li, Mr Ite nr«t tta» stiiM 1^^ yiiiinfi «rta «•• Intiag 'i;« tkt nwHt t CT H wrt t*;!^ oT Ite jiitnlHtniii fNM omhhs ( j i OMMM l«Mi MiA» poMHilt ft tmmr ttt cMUm «r (UttmmMmam


30 tba fir«« ft 1fe«M miUM iitfiiiit— illiiV rsltot Alnoit «ac«taiiivft]y en nWkk hi MiMiHH —A iiJjwt to Cliffy TO, 1r tlife iMW* «f ttoX to fiHrUU^ «Btot« to BsM(U» mA Hh* llw Mfro Mfnttl t tte MMMtoiktoii to MpMtoMbMi iwo otoirtj" ItaB v&iGto' tSiii iMlto m* BtoiA<* ^ImA (MMHto* tnl "itoA ^Hi MiUliiktoB' to wilMrsBftMs • "ultftosiiv'* snMWW* ftato MMtost^M iw MSpysttoA %sr to* aow toiliiMrtwt MKlM* %M«A « MM «oqa«to «Kto lAiicli to ptvmmMk to tfa» tfit* •• 15, (1953 (Rto < UXtUKk (llRtoB ISEU96, t^. * BP«


fSB zmt qpipt Mil viXKnatjajux /m m Mtl«nl difeiiMHlteU Ui tlii rBte «r MvniM«Mft» »& ta •««•• una nitli tt» git»» gtf iwjuKfciiitM im WmtiX, li ttS» u^^ «a« «m put 1,000 IsaAMMtmU^ te lorilM «««• «C lii wriO. lb tykl* X, io aMlUtti to tfeii 4iitwui Urt^ fiite «mp AnMil^ «p» linaHiiia MvfH fl««M fitr Hbcm vmM 9i tkm msOft tsaxtftA \9 tl» 9teUa«l<^ QfCtot «f tlw tttf «aA BitlMs to IwMi BMHitHu tv iMWiy jKnHTiilH Virtti VigMtriEtian. tfcis fiwfcBtftlqi Qtff«ni vMftypEittoi ot ifim ILipiHiitKi ttet la 1$90« ! > a M^HT Mvtti nrta ttaa Iflwb oT Sptttfl (%3-i^)* flMM «M» lteeitan« Itele9, «l& ttmmwFt> Pf yarl^iaXar altftf* llaHMt 19 tha ftel «ba& aom «r tta mfSA^a Mat nMl mnm, ttal «» ttm * a fafa ba aapaatnA ta t'^pffpiiai at a vary mM lata «ia a»> alated la ite tri hala t t ^ a. U sttttim to iMetX, anlr alx af Hit 93 anna ^ tlw verU l&ote«»« la «ia ^rtalalgoa |Mi tftrth ftttM 31


mmmmimmw QRi WUtKOt CMHVUM 1990* liUl." "I'l" Ana CMiVMiill ItaHAfMM AIMm ytftlAUan 35.9 3t.l «fr5.7 83.5 32.0 50.T If:? arititfi OttlMa S^fc MalM«ii«tat» 37.5 XtoMl 33.0 SG.t 39.9 k5.7


n Ann 39.9 i6.t 19.1 ^.T a. I tD.ft 13.1 U.t |0.% llMtifU StUNOt («*9.) 39.9 <1) IftlMrtH tf «» IfeWtlUMI SMUtKt* «f StattttiM.


3i^ 3MWO kO»C te tiM tarttlilr wtMo, or fte iMter «f <«Uftrai imAmt 5 >tr leO WMMI l«rt 15 «0 Wb« Ito lto» WtOQi MitftCMI MA «MM ^f tiM iMiHiin ito l«Ma fliilwii MkUM. or tiM 33 mpom of lift «ir3A M «to flwu of rtpraiitltCK is «% a vwy M# X«««l< b «M n*» tf mnJUlfiw «r fkMt «MMi 19 im «t« «lstaMt« %Br Itet or BhmU. litMt q# ffci wtfiwi uniw I'lgirtwiiai tr m-ttt to 17 «r tiM to s«ua lM[i'ini wtmMm, m M««fiMi b i tiwa «to IranUlMi -4rtli ratM Mt tto Mrtti MfeM «r tte ««Mr I*«l» M|abll<« ta «to inlgjiw to iMTttly iwli^m. ainm» tto fWtUltgr «ttt»» uidMk «iM M* mm « ifee PMjIttwmw i# vlftal ttifttoUta* r« it to ••» vewtoto to ilawtoto imrUlitr «««tot fiMT a lUrtar KMMit tot* «ir aU or tot totto MmHm^ toviMles* Sii fitoto 3 torlilitar taMaa tta jtntolii tor liS «r tot AD rtpftUta totoi^to€ to tott ana« atA tor toarto Sitt> ttoaaair ftoaUda tor


35 fsmvm warn ka mioi wm or imm mnn. Mm iinrj II I 'MHii'Miif* f7i»'"f'rTt'f'r< i ^ff.ffif aiiiftWK'i.TiM.'.tftui .>kgt» *«Uo(]^ aMBn «r ft«sU uHftm Q«2i& (to'»t AMnflM XiKMl P»5 159C' QnoM T6.7 i U.5 3


36 wastwBfi warn Nt mm wnt Are* k5Ji


37 imrzus? futamvcsLvrntfeasm ubob maasta ommstm QmKti/w Mr«ai«r MftS4i(l) 3««8il


195C. XBH MHUdiMB flHHHiftS* VBVMHBmM^ vRWs tMNMMBf flW tWHHMImIs MPC srawtliflf tin liwitliMi yifglMllflii* Vm

39 im Jttj^tWB Ml MMft BofaiMlM 1900 1«K> 2910 iffO Aflrv (I) nmi Mm* -_^ *« ^» 49 HVitt Mote JHMtVO 8«lll ttmlo B. 8. i» awl MRU lT,«i^,*3^ 9&*^«ti09 U»sr34^315 5X,^,39T ^#36^ fl1k»33T ^77*5*^ ''^:gJ ? ,oce 1,1X3*259 3,999*135 i#«98#137 8*37T,»5l 9,13^*^ t,llS,9^7 %,iA,a2i


7/>St£ 1> coe>4:=ss9;: . 'iJM 'i,'i' ' I lUn im BrtTt ssis nrfyT i 3^,905#M 18T»97 21.. .c/ XI3.O9 fl. ss< ii8.rr 2>i»' jatml(3) ««rt?! 1,7"' AU SS:S 300.«3 373.a


^1 tsft SlKto I93i*l990 ggg " cm'm ^.» SMrt 1^»9^ 35.12 !„bH.i.^ "-SCiSS iS:S iSJS la X. B. ft. B., CUMtlto s^S^w?%S9Biyg: . '"^ ^HlOl^f BMQwn. IMI Bio Bmm tt«B <# Mm, Nft6o 9mmm, «a Ck) Iddg* BMHU9 Wit Urn mo (3) afte&i990. omIs) «i


ks St^i^ iVMi «iili «lMb tift iTftSt : 3 fiiiinftitu i« •H^ «r «h» Ml«M*« tt son «SMMi iv MtM «r lllfMli 30i^PMrfMi«A lin& MM MMiitA fM tte «t itk« teMMM of at, IMii (XI MMtl} 4), in MMMt), «M iM i rtJH (3$ imtc in • rU g lM ii l tattSj «ki»tM: A «Mt (kMMl m«i la tte SortMsi ffi«k», XP tte VMBlMteB «t BMsAI. MMI9MW M gMV MM 8t « '^Ivt^ f^ te t^ MWMfc BM 9Mr, It «ai MBfMi t3» K» idPLUM


^3 ^aftept tiMt ^KAot Ite Willi! I It, SliMM ftoMS4wiftVi tnrotittr en ^Nrtiv MQiffiy tim ^to %iHb Mbt» t3Mr» Mir «ai w V» musm tof«M tip aait nfir 9wni immm •te^MA.


XfttidW IttV \&m to oft Vtlltl«A« l.'llMWMtWfl I9QR Md ilyiH M tte iwiMiB%tAl flcMi of %lii ftwt ckMrfMitlui Mwr HMNMrttsA cmi fMrtlUt/ ftifftm^Ult w« r«la*t« «• tiM iMkiCMit gf IM* «lH9tor Sa priMBtlcaUy vvvfy taMA (|P0«f «C Mar •!«•» an Uw to • yrMttor ov iMMer iiiMM Sa t^^pMvUvtly wbU mi m vltt * Ui^ yviMtU* tlOR iMMiltiy» uM^k CM «JlMMitt«riMA by ci wtw aote ttf Itf^ . CfMiv«nHi3j, imml memm mm •Xmo %e te fonad all MUr Vim gldbe QBdl 9W*tl«M, tlMVttfbVO, M ItM SHM^MUiflM Of ft Clf«» P«SRil«HflB llYlnt la «%!» mad t^i'skl mwH* tflw xwti «r rayrofti** tim la tlim, mA fl» mt« •« «liimm tto ilffwoMlal f)»mil%/ of iwftl MA «!«• ftrofto, vMSb «» Iftttor fwnMili^ loiwr ftfrtlUtj tiMo tte fonanr AlttM^ Ite IftVftX of fte^Utr i« by w» mmm tlM oiM for ftU «Hmb oMfti ««•• of oo^pmiblo tlao, or f» all oow«vy sMftf ovftA if fowtooit ft (iii^iiHrtitn ««iMo o^ iilmUt>»


^5 thrff l«M«r ut'baa la^rl .r ?f.;''.i::„ Vioido geaare.llr braa vhaji a«:;«rt)d yMO «fe iMiii tMi t»%ai fajjlatlm wpi uJiiM Qm ttet it «n«B eit«i it tlw •MiMfete ymtim ttet «li|lii«ii yOjMi 1900 \b%«b ymrtt lOirni tm iSm mafl diwIUwi dUUmm mf IU»2y te te «i %€ammA% of •frleol^nw i« «r «)» grttlt^taw tyft apt !»• m* •dNaaead tayioal MMvpl «r» ct iMiA fbr tl» «B%t» iwllir «e Uatt his tmiAiy to %to U«8 «f MrttI WVlMl mA IBWtOm |p«M«ir HMinf« f i M « WM tlM lUft nsml brofttNir* tiM cM? aw u tnm wum «• Atevt flMiU;r ummtUR yvMtleM Mlor ta tht fdwrtagi of m« S» vAMiMnMui «r « ItMr ffBU«, tihiai U x«fa»c%«A la loMT fvoyorUoM «f ttt alter pof»1»tt«i %>tt 111 1 1 € Ikt Sft«wti«» to wryy la vwUtr la wr%Mi than la iwal araaa. Xa ttat ottr * ladwlar mv ll«a at aftul «1^ aaA aigoy aMv aT tte iliaiana af Uf aa a falatiaaSy a 11m eitj vlth Ita aviy uipm tautttaa tar AiwqnUan yaeraatica df Htm Mat varlaA Idada, alaSalaaa aaA anjiilaali to «rtaat tto mmtk fto ant l^nttan af a Ikm £» «l<ica« tlw aavKlaittan of a vtl^ aaA tlw ja w mi a atl cn af ckiUbraa y^ aaa a * aairii fiaatap ftaaaalal %iwtea

k€ «f vaan^ry aivirict«. VliiaaX7» tito «M«yalty of tb* «i6|' wmkam it flM a»mUt/ Of tk« «B««UU«» i9S««t«iat tlM i wyw «f nomlity {cr wrWMltjr) ^f 1JI» fcmsill«n imMlcti«B» lite lir%«ili«n mmm» MuHtdtim «r It* tkr—* tolA MHwUn of «t» iMptlfttiae late uvImi* a wi ttrtwa . miA twrul Mttt b« iMpt SB ataft flM «l«t«i «rlM»tl ttM flilMivUwt liM MBi«l7iM «Mili wrt wMlaiiit to Utt UbitoA tUtoo mmtf, onft tiMOt to tmnat or* ^yi^kU ioto ilotrlttofh» ««UM 4tflM« «• wrtMNi tlw oofoo of tlM fMomi Mfltol, •%•«• oqtttoU, OMta of i««ilttj>ti mA Moto of ttotrtote. flM mAnf%tm ««o lnolaiM 09«m« tow ilUtily olL^otot to tlM w»>o «er« tiM IMtefol Ammo of 19)*^ iMidk ootalittrikoi tte ovitorla for tte i4ili(te».tloai of »«%«&. iMbae^ttfi tos/L mnLl r.«»««. onairtfta* TlM 4«tS8MtiM of tbi OlteltM pMtiM Of tte OMtO Of MBioiviM or ttotfttM* alMll MMlot to titt olooar Mrfl olo»U 4M0ft»UM Of o Ifao. ../«•« oMOty hv A M OMO tfeVt Ml'I'Mall at O MrtflMLO tiOtMMy tilt M l tl M, M OMO tatO Vhtik tiW O^iOitM of tiM to olMoAjr jManliog or «o uMik tM MMtotO of tlM tolMkltMtO Of tiMM « tk»t oM aot iiiuliiii to oftlMv «•» M%M or rtOT%HI MtOgMlM. ^. tj^BO Amite, Irarii.; f^ wwLo mo tooitMwcwo. H9vi«9d Biittoo, (BatM HMgiTiatroUa* IttloliH Wi l l flSiit, ir$W), p. 1^


la «ff^>«t, tte pollUc«I ifimfMm of « Ioo»iitsr it Ump ooSa ertt«riflB f«r !«• elJM«ifi«l«10ll M «Z%MB fC* fwtl«M alaffii' mmptfUm ii» tlsatw e«^ua U tin iMigMt vriMft o«M«r la tiM 9ia/^t-9^ wltll prfllbid»l]r iw^ fW WiflMyMqm tlM M«t «r tte amlciyio Is •iMiQr* tte :i«rfaat itf^ta MKttr la tlMt j^UtloO. aul^ 41vi«leQ« acA UkMdaa fbr tte SMta «if tte AUtrlett. thla pemoti,m, SHMVMrr* tea* laa* ta tte Inalartan la tte wtea ua^iiBrjr of iaeaUtlM ttet «oaU tetrdUy te wamiina* ttttea trm mv «tter a f a li w Hit .^ Aa a vtealtf onr teMtiMa of loeadltite iimttftag ftear tte» 1»0Q0 fatefliitflafta iflil«ii vqm]4 te clamffU*£ aa ««ral la tte QBltea 8t«taa mf ih tcexU mmaMafd \4 te mtea. If tte Vbltad 8t«t«a •mmm orltarta oT a tital— a oT a^TOO lite^ltaata ftr acteB y lj ae te wnra «npSjpQr«d, a atlU Savpa* iten« of tte BnsllSaa yoyaUMai teir i'ii,iia4 taten, auaH te tknaa la«o tte awal attepBvyXt teuwm •ntent tter^^JorOt ^^^^m^ *te itgrn of mraUtr la teacU la aataiUjr giaatar tten tteit Inilwtet ly mmm$ ftcnraa— a ftet ttet teat te otetiatly teipt Im aiaft. fa 1M0» 89.€ af tte yopa l teio i vaa ilatetftrt aa attea, Ut 9a8>ot«t as mA €i,^ f t i' i tet te ffwal. A tnni nMOlatla aatlaate af tte narallty af tte y«fa1ati

tte rami «t««av7. Hot m^ U BMIsil bl^dr s«tta fnon tlit Tttnt of vtow. It votOA bs UtHml% to ligliit plaim vIhim * pr«««ilt Mi MHrfim i tbi aKtioMl territory. Sf t}M» FlM«f«l Mtrtriet (ai««vito PiiM«X) A MftU IBMR %\nut%. oAUraly cocspCaA lv tte cayi4e Mm tiMM 89 ptr«MKt of tt» s>o!pR2«U«i Itv* la vx^mm iraM Ite tl»W MMt fOMa tlfttot «M t9 to AMMi tft tht IWTlfcMlt nmi vitu only ^ c yarccHt «r !%• >

^9 2Aaia 5 III^CBBEHQSE Of fl&ftB8SEIfXS& titt«i flMNMAv WWHil nMPRMw iVKPMWw IwrftX «H««ifi»(i)


or tmm 93.13 %0 t9^.$5 «m«» «f SaAMr|ft amlir tin •Kif «• yir to tts airlAlity «f «t 2^ •#• 9!iM« toAn «f «Mi% In* toM tmetmi "•tttvtim 7h» tofi^Iitgr of p*7«ans i.v/iLnt to «i%Mk« wtmAmtt$ taA rB«l •anws Tmrtos iiMminrtily to lnHU> B» I9f0# to xwt«l «t<«M thM* «nw TT.S ^MUlvm M yw IM vmhi IS*^. li mtm^tm wtm ttoto ft«M «M 5^.9 m» to wtaii mwmi coSt ^3*8* Si Ml lUBjl to MAlyM IteM ««ii«ttoM» a Itotw tottor m» of ImmU ilMMtot •&•> «ir y^plattto^ IMvarttoM i«toB# nma^ mA to toHtXily to torim of tte rmljitotltl (ft«. t), tiM ytototttag ft ifMir^wwim «r fttoft ftf fpilrtlii» yrovwltaw to totoa vwrftl fttofttf ftftA toft fftto ftf MfNtoftfttoft* toiOafwto ftf toto # fttoMB itod to ftU ttotoft «ito to* «r AtoiNft •! Bfttoft, tot to«Mft, ftiBartia M iwftl «tff»«iUftla to h. B. •. 8.. iitolii to Bstoifeiftttoft ^. B^B. B>^ii toln to Bstoifttottoft to to toft f |||41 wiifc# , itoBftftftJkMilii (Bto to AmImi totfvtoft Btoftoft to Z« Bj V* v> ^ wn* B. Iff.


51 FERTILITY RATIO [ j UNDER 43 2 m632-73l 143 2-53 1 ^ffij 73 2-831 i532-63l ^^rt832-0VER Fig. 2. The Level of Fertility by Residence and States, Brazil, 1950. (starting at 12:00 on the circles and recuiing clockwise, the segments represent the urban, suburban and rural populations, respectively). Prepared from data in I. B. G. E., Conselho Nacional de Estatfstica, VI Recenseamento Geral do Brasil, Censo Demografico (l de julho de 1950), Seleqao dos Principais Dados , (Rio de Janeiro: Servigo Grafico do I. B. G. E.. 1951. 1952, 1953), passim .


53 la « fiinniUjtjr Wtfi fl^irtUitsr mw'i «i «m vowm trm «f Wf wA w t t O «iMI fSK WAmt Ibis iJltHlldl «BMI «»t flnffi«iM*ly %• piMt it la « iU#Mr mU0tj. U la mrttr tf wla ttek «!«• «f tl« aect ycpOMt mI wait «to iMMt MUt Of HU'WJIrtilW WlMffiai fiMP tte CBly te iHtft 9t$mrtmp 9a^, tad MMa iMMo, «••• tirtn firUl* ity AOl teto «te nMtar M# ii«ii» «r ftva 5S.8 to 63*1 ckt&toHi CA ftr 100 KM* tm* 19^. twprltwy «f Acrt la «l» Boitara flagiai, «Ml» to ««aftnKtl«a of foivXay iMUsf la Bnuil, la tHo miiaiHiiii otait of Omni'ftao itain umimtHg tl» taaoot rata of iiji'uiii>ti««o ai« Sokia Mi mmttm, la vbMH «l» farUUt^ ««Uo far tbat l ao ta a Hf aX a iW u Drj' Jaito to tte Of to 73 X i«b0o« oaly oao oo tmrj r atowo «lio latoo roioiiia «or Hm afiNa 9t»Vim of ffaala Oatarioa* «oioo, am NMo 0roooo 1I» «Matott AUfnoaUalo to Vt dMorvad %otoaai Cfeo artw oal rami ralo of v o » w

53 •Me«» lufilar 4m to w^ImmiI UttmmftUU in fiarUUty (l Sa « wrtiiifiMHi tfMvbnr)* onft tiwum of tkt raanfUm gruwltM «r »««rtib«2«ii, it Mr W MMd ^iMifc «M «f tl» XowMt «tr«lU«r mttos (*t«5ae4 (37»<^' twi 5$-B), aow ^ ^ flMrt tm Sm «mI»mA t>» Piiiii3 «i«tfi«^ iMtU** iM g Mt Mtta t^BrliM» Ml tHicI «l ei#tteL MiotpiM idith « yopOttfciM of iM« «Mi ik>,ooe f^mtumA tmtiuty St in ftlM MV^ftST #lf MttMM HMt MljF M# MpitsX MMi4li9te «ltfll Mm «Mi ilie^OOO ti*iMtMl« kyi MM tkM $0 iMUrM 0-4 P«t "isrr woum t^pia 15^. iiIwhim six «f tte #2««m M9it*I MAlciplM vitti fogttiaftiM* «r iM« ttM Uc,ooo i«niit «im fi#m aniAMttai »if»»rM«iai» Ui Sm BmOo 3h ««d«r to ftorlhcr mmIm tl» iafHwiim «f M«ii)s*mc« usx» ti»e itrt* «f ivfMtetUMi a attp af Sai» itelo ms iMiwaA almfiai tte ivMl of Itot fortuity Mtio ia mA of Ita jtfjl auaiolplM (ftf* ^ ). fiM to tto Mali oiM or tiM wMiotgiM «ht altn^t mo aet to ahM tlw aiM of tbt iqjaliititqa of Hmm yaUtioal aiMlviiaioM iMwor^ it MOP W aatoi tlHKt tito u P Miiuat luaiMttiatlM of oec M r o iB Ite iitfMAA MHrtoIsi^ tiM tfMla MuataX^ oiA la tta


tmM i eafOAL ossM# aMsn^ %sn^$ w BB|li3a«SM Ob vbdUBCfeNHI 106 iillMlt Xttis ntorto 3^,909 203^115 9|#T 8* 0. B.^ nwMMillw l*fS# "


55 •H


5€ iMiAiatttlcr mmnadiat tt| vttH Im i r l o n ti m w tfti iM «f pBjnUttw i cttt ATM it to « wrtliwturly iSar«6fel«i. ftt \ mm% K «b» » %ar rtiwitif tlM MNM 0f Ijwt HarUUior ^tfHtfi ttftMb IVwp! Hm '*«M mm" of tt^lmwii. Sm ftijiKitNl iBflwiw «ii Itoi fl«M of MpradtaotlMi Mnrtod iiHIHiily MinwulHg «b» !•«§ dlttM, #ilib «r« V «My Xov taPttU^. Ai Ittt • ««i7 ftw 4tm • — ilntfto aljMMit «« an wem «f 3jaiiw% fUrfeUiliy (vaiMr tiS.O) yiMMt « ftvMUtar ttMo mtnetmMj M# te ylMMr it te thi tmtrtSk ftrUUty itinar/ cT 4o*o t» 4l.f« « ifeav*. dtkir wplgtHw df fUrly lav fMTtiUtjr V^.o to SO.^Khiali ommt •% « tfitaMt Dnbi tiM «tM*** Iwpm aitlMf thaaaalwia toBtOs fU«3y ftat ttMi ItfMM HvtiUty W9tm In lia Bmlt «• fMii to fvavall ia ti» M^Oy niMl aaaas «r mv jawtwUBn" tta» stMMk akag tl» of thi ttaA* as ^Hr tiM tiatvOBtiflA vf pryiljiHliw Sa 9aii» %«U ai wU m far avMil w • i*»]«« tM V. Mm mtm ant llaiirtw »ir> (»i>1gw»i Aa fti9«a» flTMa.


57 I ilifftwHm n mi bn ia Mnor MMt Ik* mtamUm fl^n^ vC 73.d or MM «Wltfiia«*inr $ ytt»« «r tgi pir liOO «hmi te tto AOJk ttmH/tuMA litinRraBttidM la Mdi i%i>iwtftMiH ahowliitf tte alM of ttoe fajalatirta «f tlie tilrtfto* «nt «l» 2a««l «f til g>»i» a >u uii la aM> Cytq> »)> IbAH* laia mmw tuaaai «f tu eoatanak uttSi 9«» Anla. 'Jfmtmm Wio AiiIa Sa om of tto aott Id^Xf ui%ii1na ««* i*l«a tta^at «r tbt oatoa^ Mbia i« t«iy laiml «A a tfraail iMijOttm <# tta ItfaM* t«Bt« tuXl into Hm bSaok wt atast naiSal •taiiaton Hmmm tao FavUa law %iMi a aajar ifttX af iataiaal alcnMrtakf Mtta laa MedvilM* t«t ktsviXy «a tia aApafecvy itnaii. A iw r t ft i l «aaalaiUaft af fUplva ^ mtatla that e»t «f tte UMat latala af fiarUUI^' MOMra ta tt» «ot«ttl iiaifia» af njpi»iiBUim wan it by «kt« laias av^afi MadaawaMMi ata 1M iJkMavsA ta IImi aMttedtolaa tHMtlalaXs' mvf— rttij It, aU «f vltfcli yoMMs lea laaOa tf IWtUltr* ia a0 mm m im m Hwt «f ffct tiBital aiitelsia (aalar Vr.9).


T5 Fig. h FERTILITY RATIO ;gl|uNDER47 9 ^^63 9-718 1479-55 8 1^^71.9-798 155.9-638 HB799-OVER The Distribution of the Fertility Ratio in Bahia by Municipios, 19li-0. Prepared from data in I. B, G. E,, Recenseamento Geral do Brasil (1 de setembro de 19^0), Censo Demografico , Populagao e Habitagao ^ Serie Regional, Part XII, Vol. 1, (Rio de Janeiro: Service Grdfico do I. B, G. E., 1950), passim .


59 Hot mrsrtclRgljr* tlw U^mtt tmrUUtf wmbatt imm v tmim A im tbo taAmfimt mA M#a3r t«ml ytrticM tf tlw ctete. jftrffi tte H it fwM MV«»«laUar la tiM MMUtiftM ttaft li« to ^i* MMMwMt «r tlw AttoBMOB itaKU te oftUtA to « •rwp of «i«l«« wmUiftm aU lySsf «Bttia« tto arte of mnueiMM «f ite wvAtal «ity« mA ciwMtnriai* «gr iti w w i ly law firUUty. ffkHw iMM w ^ MOeiyito «# kttfl MrttU«3F oitf •aM«lt«iit mitt id#t it "lioir fnrtiU^ iftHnte.* Hnwiinii at tlhMW i rt ri dOrt wM «r tlM Mcl* tevM or %teM — tatjtw U# to «IM MKifia. ywt if ite •«•»• Mi «« tte Mrtli «f it, tM 3ia IB «» wattoMtwa aMrttoi «f tbi •t«M» aat itew «« ftalMiv^ aloaa to «» «UU onfAtol* ««i of tiMo — iiotftiM foooooo 2««ftl« of wjfo t niitt oB fhi* yiM* itaM tB tto iMMit forUUtgp ooHjio*/ of «e*r kt*9, a ttatlMttoft tlHQr qoly vi«i «l» —tirtjla tatWHat tt* otaU aofltal UmSUt. mm emm — rttlyiaa faU la»o Ifca — » fOrHmy oat i i M j f M i g tid frea Vf.? to 95.9} a^iU iwy lav lto> toa al«M af MUa. .. «qM«Mttaa «r i*U caaaaljr ta to %a faoal U too iiUtjttao Sa pii

rf; Tkl» ai^ralary atBiiMMt vosfgomA loqpkljf at atalfts in %te Mrly y««m In • ift«rti0i «f SMI l» tiM niM*MrlliM ytMV o^ Uite» ^Adili to kM IJ M W * tiM 9rQ9or%i«fe Of lieMi te Hw fto^&l* i#Mi lAe tv* I, ttM liiwii It tilt rstt «f fmridMtioD. Att i^iwtwHi,« of Pl#iM 5» vbUh gtfM law ovl«la cT algriBM Jaiff* im tte ad^rwit 9««»lviim •tatUB Owifiinria) la tiK otty ti Ho 9ma», vtmmiM thst ite !» fwtiUtgr fwvl Biffytt Sft pti tta i iM Ma«g «taMi «|Mt — itatiil« jpittoft oXooor to fte otslo Oifltoi. Xt lo loiMUo tlwt tte «mNiil«g tiflfDt OK fwtilltr of tto oivitea otty oadMaoft viti M^pnMUai %o i% flHyMT tlwi to tko oootH to rmpioollila for tho Ao too loo fi*rliXitr nmUH^m l o a ot ii to tko i>Mi'i1wot>wn oootioo or tho ototo oro HfwartTO (oo tte ototo Uno) Mft iMfls Jwt to thO iOOtti of AMHdVO. XO OAIitt«0 to >» tflg Wt tSMtt Itet to kMUlBH ioovily Igr fwitlCB» JImotro io tfeo tovolMi yoAttt of om liv of tilO CPVOIaUHMl WMtfeOIOft SiBKUItKf HOBO \ft OffllOHAO fVflO OtiOtOO HHPwMHf to «to oartk. iMftai to « raUMogr ool uuwMiHaMiwo aoi Hor * Xt lo Hkftly IN* to tiMoo — tilipUw, «ho lo oo m woo of « tMttlo to tfco ii» i Ui o ttoy gHo to ort j Uitf cti ly tko «&te fTCsMMs


61 M M . •SSO Pif/LO. LOCATlOtt OF WSKCAIilA 4r U^KH Tve MIGAA^S ARE LOOGO) Fig. 5 Origin of Migrants Lodged at the Hospedaria in Sao Paulo, 1935-19^0. After T. Lynn Smith, Brazil: People and Institutions , Revised Edition, ( Baton Rouge : Louisiana State Ifciiversity Press, I95J+), P 276.


d «8mi «!• «kairai 0-^ «M< Ah* «te la^wlrtti of «» X0M} l^rUUtir MM* for I*!* wmm iiwrtim Sal« tlw wlA. Hit la ttt n.9 to 79*3 tmm «ii <%• «to 79*9 mA otwr '9Mi» %ii9 pwit of MMtfltfiM ii( X0V «bA Id^ Ifcrtimy vith fipi< %• tiM MS flMM to ite fnn i tt a Hw i flfM, Mt to rtto* «*!• ifmmam Hw wanlto mlito tor iMrtljito to tot i«i srwv to pittto to to* n.« md y*^ 100 voMD. to HBieiplM or Itfilli tovtUiV ton* im n-^ nmi par lOO wMM tor to» 15^ i«i iNup. «lw MM ttftoMabtoX to toa mr ffatto to TCwattoA to tot 19-«9 ^t f««» to tot too iMapa «f aaKl« atytoa. Of ayaatol atopOftoMiM totoatr^ to tot aiato Avtofi flf to tot tor torttUtr —taliiM to tot aoat rtprotottovt a j i t ao I to toto agt wnm toaat art aaly 7C.3 awi ftr lOO wmm to tot tow torUUty liljin aa at^pNt toto 99*9 ato par IfiO waMB to atoltotU^ M#i tovtolito.


53 cap BAiZA ymca ii*s3 jus tjkpjisj i'^jd ;.i;«-3ir fj"" IteUiyie 15A9 8CMB9 15-9 (MMUcSfAM of ^ Iwamia BC,k 75.a 77.6 AMto 9a.6 y6.6 79.0 taiMl«t« 7^.^ If.O 1k,k AalvU 517.?' BO.f 90.9 79.1 16,6 79.7 76.5 7t.7 T^.i 79.*^ 7*5.1 80^8 98.1 96.3 107.1 ti6.6 71.0 75.1 9%.0 96.8 98.7 I^JMtfM ».5 93.^ 93.a ^unubPta ^.5 99.3 ^.1 7»%ttl 76.3 do.a


if ff ifflnyiig i mmt^^gu imT* iM> iV«9 (WMiiiilfilm «t I. «• Cbtto ?!( 95.1 101.) ifii.s iiii.a 10$.6


fi5 tlUtr iwnlii|iil>rxr Utem ta th» RMA M«^]* afM. or OoM wcHft «to ftll llMl4tairttidL IHiTiiwmili ttt (tela flitartai aaiiaataa Uii* ni«at &» 9MB«a QKtertM Malcisiw la UiiO ealtMlaiaA )qr tt» liiiilllw bMlMata sf fMpn^lqr an* StaUatSaa. AUbm^ ttw vataa cMaSaaA to^ tte wava iwal. yvtlaM af Hh alafea aaa Imi tapvAtA aa aa aora ttaa ttir miffNaalaaMiaa» tba iviai ftar tba — wi ait M t aMaa «ra yrctoaHr rmawwlljr aooaiarfea Aw ta%a%tar xagiatnillaa «r vital ataUttiaa. •am tarvitwial «UtrttaiUaa of «te at.fawtid Ulyth aalaa far twfea OaUtfiaa i» fn aia atio d t ia nguw 6. Aa aat tasaetat, towti Mrth v$fym (aniar )).o} ara to 1» ftaDft In tiMr —itnU'lai feaiterSi^ «ia %aa yrlaalyal attlaa af tlai a»ata "» J to la ?iXl» aaA naanaa. tt» laaitiitfiw adJacMBt %a fkon alao yoanaa lav MiHt yaiaa* A^l lait taa ar «ka waitwtifttw fauiat Into «ha vaitaa lav 35.1 ta te.O itrHi x«4a fttirwj( a«a bi»Iji«h vltk Oa laa liS#ly an^aa aaBlatytat. fcna af fhi aaiiiiiljpiai i*f^^**^ tale tto %a» lrt#MM% aililwlal Malfa


Of 7A3l£d Mitlaottd 'Mi»*

BIRTH RATE I 1 Under 35. o ^H 35.. -^o.o ry/1 ^0.1 45.0 S83 +5.1 50.0 50.1 ov e f Fig. 6. Distribution of Estimated Birth Rates in Santa Catarina, I9U0. After I. B G. E,, Estudos de Estatistica Tedrica e Aplicada, Estatistica Demografica No. 10, Pesquisas Sobre a Natalidade no Brasil , (Rio de Janeiro: Servico Grafico do I. B. G. E.,T95oT7^ 135.


x«U wttLflM ih3*\ to !^.0 md $0.I ana owr), om iiMlJ«i 9Ma ti»M>toH tiilMliiiSm km far tte fbrtt tiw to tkt MHugnHitaM of Hw 1990 ft tosoMt aumary t%wtftiw>» fiMi AMlSaf with Itfvlt of fMTtiUtarSMb • 4»viM to wjloyift to «M* 9 . fto oivttal oitjr «f mA stoto to «i«k Mt atatr winf^tf «l» to«i»tt «i%w nniji' flf tfest •«««•. n» MBit to •!•• IMb tlH «9it«l «ttr to «l» MHCt timwl UltM MBtor to to MCt ttCtM VMT Qity tt» «%tB^ «iA tlw rin>l[HlT let toe ttato m wwal. Xt ofaoiad W Mto« ttet to miim tld« a— «rtiM» th* wma. ttoA «4^ Hm Mgpltiii wiTtl|ilo to diiiifl •• wImi mA ttet H torn* If '*fBrt'* «i%w m4 avral wrtiffirtw amU to «Mi to ypHitm tiM tortlUty f«tto, tto "uvtoa" ft#M« wnUA to XwW aaA tto ^WKttX* fljmk, tiM T>Mi1t.1i^ to jwwtor AiftoNBttoto.


7© JMUjftM of HtUiM 9 ihoiM tiwt Arwil lo ao MMpUoi to tto Mto la 1900, Dto «r 3990, ifet «wiicilatli» i« tk» §«•< Caiar la mm imtktmn ttaft «f Hw ^tmrltotf «r «MvaM ta 1^, la a«Na fiwUUtr U#Mf tiaa iwai finrttUlor m ao— u wi a V tl» aipital Mafffliila* iKtfiaMBttala Itar Hm iMtvftlavtaa of AMtpa, aaA HanprnTaM aiiwltliitf/ «»U. Ri aStfdflMDo* «hcaU lit 6^^->:£Mi %o «lda haummf* %9Sf tf X %9fi)tB Inft MCtNaaljf mimUL MBHAattflH ta Jiyya-^IPHii lac 37»^ tirtaftH— ti, oaapivar 3<»999 9«4pla aNI Sla Wnmm aOgr 1^,116. tte aiiltal amliMa if ttaM DraaHar tavyitaMa* aca» af laipru^raa la Ito «tgt%al amiatpto, «A Ziki iiPinaimjH ttt tita of aitf Aiallfsa la Hm OHjital aMAaijAai of AaiBi «iA Sta iMBoo fa IflO VM oaiy U.t yonsMt, 2AA ytraaia «it 95.7 atM, iaa» >o U Toly. la ite <»«« f^f X£o iMaoa vMm «Mi ^ ^ w o iwa " dlff^naHol la dl a wnai ^ «h» tvtal aarfar of vMan l)*^ Idai UK tattl mm&e ttt iMMgrn oJk ftatan la idm oo^ital aaitolpla aM «a iMt^taa 90e. Xi aU ataiio Mi «k» oao tafrltovy «r «k» Juttam a^ilaa af Biasil far vftAA *Ma to otallrtlt Mr aioa «hia oao otaoM jaar.


n 7f^m£ 9 FSWXLET:' ^ ^ v? TC^, f^ MDRXdffO GlSAZQim TBS n'T ' ' I'l i;.i I , 1' iVJiii.'i. i i'ii'i 1 TT-'s : Att>


7a fMKA9 ooottnpod » w ill M M I m i m l»liii will n «w««»«n»»i*»-n>Bi— n^^m taaetttitt ttplUi IMt Jl.l )6.T kC,f g.o ^T tj.x lAI* Sa.) 3B.4 ^i 60.9 0>*9 ^*1 NlMMitMM«« te.9 ifif.d lt.3 #.9 '^7 ^A ai«4»*B9iM ^.T %!«> te.l d(?^ m,M ^.1$ MsMtaPrtWil %0.9 56-5 3$<^ Hmm" l»9.7 to-$ 99«% tt».t» 1i^.^ r* ^ »rt» QrtMH « fc fcO.£ l>!^.3 95.5 T3*9 19*3 R. •. te lui 393 3^»l ST'O TP.I ^ " / 1M«t ftMJtitl •H^ 1^.9 «l5.7 97.9 «S.l t»'7 72.7 NiteAraito 99.i f»A Aa Tl'O 7^.0 T^.4 o»amm: MW <»t» «*««. to» iiith. wwUi Jw*»« f*_j«rtl«ima» gy «^ f*« ?• !» »t?^; ^g^l . KM P^ttttt \BMMe HOMpi] MHUMMI VtiM VHHlpnilJ WMtmt *'^%f$ t» Ml OMMItlA f^NHiMii to Z. B* iMiiiru «• lU lKll i 4m V^), •bI MpnttaA tfKHk 4Mi Id X* 9* %mffim mmmmx d> TiE»4t AMlMt tMnl^ %ih4W«ri .nT i. i^^mCllllf O) MHriiAu teiMSMA M fdiiM ii gjy ^yjgr.. S ICO. (3) ItarrltQtry.


7i na^ «tt iu(%Mi yMfttoM or tl* 9af«l«n». gwatattrt tmaiUMi to fiMPUU^ te ImtO tiM tttAMBi wft wmnX mfm^miw, trm IStO %o lSlkf> mA trm ISfkO tm 19^. «v oalr eMM9lK» U 4lw ta^i^ «•» OWMM Ift «to mftX yartlHi «f SBmc flonsia tmm 2W to 19W^ ft^ ti lac^to taw* • tu^* aiwuMB s« ««• u tte «l» nnml wmm ttm 19^ %• IffD. Itm mum tf wiiwiimiiw !» 19^ and to i rim aa ia -Um mmI jf&mm mrta$ tlH* yeftoft. Am VMtral I>i»«il«% t*iA U alaott in ttt MHtotty tt%tB ghewtd a «•• 9rMM ia ftarUU%K trm %$» 1w Mio vtik iHrttUty ia 199B walTim yvMliaaUy at tfbt l^ 2f^i. . In ite NwaX yartUa «f Ikt tair atolaa MwaitiaUim «to 0iiitMm ragUa, tka astUMa uaai ef taeyaaatag farUlitor i« ui i anni la iavaaa> tiMa OaiaHaa« «bA fOa iMaOa «a ML. CMjr Sa 8a» Aaila la th» iij aa l ta twitiay ia avMMoa, «» nml fartlUtr vatto Air itet a«aaa hmrttm •iaIiMfl ftw TQ>0 la iSm ta tf .t la ISftO ta

Asorom aad 3«ata CtttArisui d&oir s. uxiaisliMKi tpcsifi^ & ?brar.a thla oMo u af f A to e ^mxy cStferp daerooM in fertilltjr fMci 190? to l!)ltc^ t^lloRMi lor • •!«#)* Omtmm txm VS^iO %9 1090* Dk mt^ (ktarlia 1990. 9m BHl* «ad Sto tiiilB 4* flvO. Wtli fteMA %1» mmi tQpy* «f ^w> rt«tt t* 199^* Si MMw OodM • ait^fk liwm cnd»wa Irtw i i 19^ wft 199D ta «te imwi^ fwiilii tr M togyt— ttm m» te 19^* "Oil* wM aot MfViaftMi* iMMiv t« l9li« tiM 1990 ftpve Uiim «« Har 19^. Zt t« 4iffiflBlt if m4 l^powlMi to 4M|ikSm tfto f^wHOMUOOO la Om Mrih mto fto ftoatl «MMVt Av « fov Mtrnw of fioirly i«gteti«Uao. tt io pw Jgt U iMWMor* thot ite Urtti ittto tao MM or loM ooaotMfe, ooA ttet tto fSiMtooMaMi iilniwol la tko tw* tiUty mUo om to %• oi^lotMi %m Tmtm MOiMM tr too ffiotaroi o dMliM la taftat aertoUtgr inft oarttaoti m«U ai»ouliaituo« Ihftat aartoUt7 ia IraaU to wiiailrtU Mgk. Siaot ttM fOrtUiV naio io iMMi oa tmiMtm tJk, a ladMUna ta tba iiatbi «# OMMMa 4Mr tm» will «Mi» Ml iriMniaii ta Ite larttUtr ««ftio


T5 If iJM birth raw rwalrje tSyj saae. SlaHosriy, a Toduetlcc of BTtaUtcr la «te 1^ ap «nii« «iU Imrp* ti» mm cfAMfi. Vfem « lOl^ Xtfwa «r mmUOMtr is tlat MUtar «pw s««?«Ut» imma inniV of ft IW (tfivi* atUMOi of meA^aMm mA ckUd oari. gvtOfttgr ti tito Ont 7Mrf of Ufii, mm «k» iiiiMiii>ii tf i 4f UHi tteft tdm Hmmi to %0^ ft iftfMftittac ifftMik ift «hi MHIi xfttft. «Ht t« te yotsfUft tlMit jiiin'iifttm is th» fitftftUtar is ttiKUHi Ml* •• QNmrwK 9«nit9t^ iitaM iiitMrtiMtitii tet %•« wHm, sioar ^ «» i0 ft tftii itt Mi of Hib aoMftUly «t «MaAr«ft wtHat ttm tad on^rtolly to 1l» 0*1 ^IP SMoy, li fttfttoo iodi •• Sm taOo Mft t» tte ntHPia atfttvitt, Item Dariaitgr teo tow ooot a or kM Cten litUo dMift* tt kM jirtMIV «» 00 te opitt of tiOibiI tetasik ftiriftUtj* •• ft toittit of npu «%OBia»tloB. Mtloatfi teflwfc iiwmity ««•• ooo o>IUii1ft ter OBlar • tt» o^pitftlft «iMi« awft or teio ftlopsio togteiMfeiai of ffttol oMtiftttoo -mrt.ftt, oiQr 1m tattofttivo of Uw pMOftl lOMfti* H afr o gbtm Htdrlar ootlof ft oMgy oottaolta of ti» OHfeor of ao«&!z!iof teftmo oaflor «• jioer oM y«r tteftomft Itvo Mrtlv te ift» IMtMfolMftlrtetl^tteyoftni mi4W (SMtelO). fU« tekte oloorly iiftfl rr'^'ni tt»t tetent MBrte2ity otwllli' Aoaoftooi te itm


T^fM«Na lil«iri«% 4mttm ^l^ Vm^WO »«rto«. t» ^fimt ^ iSiH, eata> I. 1. I. l./iW7> p. t5. Stallar MaalaitaM a

77 *"^" — -'•. ,1 yt » 11 T n il I II I II II II I 11 n 'MI | C mtik 9fl.0t i«.3l 5151 I <(.$» 36.75 5T.16 5 «.09 3.05 51 38 5^75 «»«Kirc«: X. B. «. f ., SMhAm Ap Stft^issspi ^KBTUil* #fHii t i| ti«M ivAtttaiUftUjr MiiMNA Mrt lift ««t««aMr tMtriMii* ««% fht mm is iOj? tiw 4gf thofH 9OTMM «M yttT o3A tnl ftf* yMM •Uy ttMUtttim


?^i fittU 12 aiMff msianr ntnamm ckhzai^^ i$fto i«» is^c* «— ~~— — — I I ! II III— 1»« !! . IBW^^—WWWfcJM— l y l ..I .11 ! « ». I m i J »ir.i.i 9CIXM isi.n XnTo. f., 1953), p. %.


XM^AL BOISDOKSUS SI WWBSBBSBtt Iww Wi* Ififaiimff nfi'iiMrt»fttw*i «er sXl tto hMok* xmfttal •teete of MBEklMA* VifSt MMIi ltei» INM* tl» «MMMito, l» «bi a«m of AwtngMMt ifailfMi InlMTiHwnlii fhi BHtavMMW "^o* mob MLIam* %r •Imw t^iMitift ftroB A^Mm tmr Urn ngptii «f vosldi^ tkt • 79


% •omroM fir tM« iotmrmMm trm, to «MttlaR %« ante am«toX f^conis isv«««i«ii nin for y/vtUm )mmtm Uif% tiMir VtMiVliii mam%§ of feoM u iMdm m wrtliin tm mm^mt m immr pirt«to iaiAi* t« CM of tteM» lAiMM lilwk, iiri«ti« im ISSKS, «l«aNl ft » wi1ft»1i «f »NM&X «Mi «l «MI %lMi, nS^^eCMy ft fl|pr» iMiH «000 « W.% 9«MiB% •• li«p« ilftMit I»10O/«O iT 19.0 pmm^ ft* ftmft iiSifit iwmmOm mimUhumh Sm^m^ m W*9 p«PM«t m OWHMMji «»• ftt ItMIt ftiMftMt PMMMIfllM flpifii iitiA )y ^^^mBk^ wmgh tt ointfttnlug Sftfigi «nwi# «m •Tjinpiiit twrilaMCT if ^^Mi itflMft tft ildilk NMKtftl urtiMfiMtlAi I. itftii Uttto ^«2is.'iarL^aft iB^?4gg siJL:i!^jtt! g ^


ai C'XXtxfV::^'>-i& t.o Ut2 i%v,-L=.2 'X'.^ ;j-<'«it-l
*rr, pytag tnili. IMmA la 199Q» Mtf a ma0mn «fi«r tUMMty, aaly 3A«0 aaUaiaia, a laatt BMtri«gr af «mi am* laaUM Sa »MtU.^ It \%wmk a aaiaar aC aaaaaaltor aat filMr %a lamt if aat laiiMnp afimmUi atift tl» latal latna. «wt atmpitHa 4IA aaaar aa a laMt wmim fitat altk , iB U Ui«J MiaB^
  • tcak: ttoNMalUaa

    PAGE 91

    vtlti «l» ftpftt to uMtoMMU*. ptttk ij U fr f f jl XtASMf 4M wife Siitoilii} AvHi iiteito iT Am 9mtmr ^t t» §§ iftaM mik MM ift «i M* t» lioiwi «!» niflfe 0t «»•* tb«r
    PAGE 92

    n 4viv«D SalnA «r 1mm wiaot/t iwniliUI/ tStact^ai., a maftlaimt of Wiipt 1MMK vera l«port«i •• sIwim ftr tkt ymw •€ wttlal aliElKrt •• aoBUMW en m iMiIwi Wilt. ««laitol ImdUL wrt Mfiay MMMftvt «• tlw AitftcB «r «w vmm. «• tka 111 Witt ftolA y«r wvtUntt. fti U tli roU. flMV ^M^ tiw Irai, «w iM«% l^pMgwlMrt «r tl» ftfttM veMft. tfe* ftory stiilltoM o# tto Sum iMitos. i«» # mrflpt '* (UligttlMM tUXSyfi till wil^tiawiSMiSiGSc''^^ At «Mal«lttr» iimm emm tm wiMtr m lijirtMrt roX* to Ar«cll* UK ftmigr nil*. A tpo »cflr » ftoa% »Ug— to af tha ttowt anar'a «tailtoai wi a oitotto glri Mem ««««s toM Mt toittotod «» Ma of tto Mator toto mmmI aaptrtoMa. nm MVMtor ytaittoa af tto alMa OMM, atiii V • vtoa]j svamtoai toiMa aM atataiartl, fMUi* totod aal aaaanaeNI tto IWatoa «f tlw imm aaA a fraUitoaMM «f mvunor i*a mm half widto, aad i*a to torn AuMt wito aitova af Mrytoc HiMitarttiin af aatorviUl iinnMin te to* aovM «wtoi ^ liAtok to»M MM to rUr mm ttoa om atXltoa atoia Maato to «to MOBlvy* RocM&M vrlta4 that %. 4. OUmIm yUMa, »aMtoa
    PAGE 93

    6!^ K MMi ooew 0mm in %l» 1rt#»r «lMaM. Hm ImilttM poyilKilm tat %mb lamt tantriaiA %7 CdLit«ls« TUwn* •9 ^to ffrtTtTliit IMIftMt ^te Stsra tlftifttf mA tte vtiMft stodkt tfettft Mfttvftetat «• «to moua wlwftaii «r «l* iiftti«ii« •«•*••: fftM iB ««r tftvtitqry in twsplag j^wiiuiHliwHf nwfttin tft ttft vMftltr or IMMMT 4acPM ftf tkt wftiwlrtitfi «f «aA ftt «lds or ttat yatat «C bifci%iA t uaj . Sft mm sftgtoM, ftidi4MI ftliMMWtft AftSSMKtd ftftd MWMftiMHto SS tkftiV HdlMa* Hftottw with tka Klitat; ia u%}m; luraii «pa tha prlaaSyal taaia «f «a fiartafti la fttU atfeatfa, tia >m iiiil^pi «r iftAta alaawU la M#n»> ftat tlia aaMrfMt aitrtt tgrya aalliiato la ita abvaetnlaatlaa tiHa fm^UHOm awMiam «f t«a paiila* Bwaaaa of UU ttmmitr iti «te gmrajiMii
    PAGE 94

    i nf. < iwij i» iMfUy i i p M iiwit > «« hU potitim la «lw mcUI «»ft «ld« sllMtUB U Mi «r PMV* arlgbi i« ttiwui v T«««Mr, «ke vriUag Is 1917 iiMiiitii i9«i tte illt^Mllty of tte 4i a wimwum i «o laag at fcta i i ii u i wiu ay to t« ^iih&tft% ftlOai^ I* dkrimmy la aa«« iat atlalM ai tartai^ Xb gawayttm tai aM inmrtan wtHi a aM of wiom iIm» WM ta w «wvi«Mi, Z «rta« if a Mrtala riwiiM aiir wm aot aaalatteaaftrtoaaMaviNti He mm, ^tCfmWnm," X Urn ^ t Itfa «a ji«late« iiiaa to aliii, ^Cto a Ctottoi aw to a mUMo aapif*' ?to 0ltoiftlea ri^pillm «w «toatti« AiTSatUQa of a am'i i iHwttwi to liU fodtal cdatoy U vtOl mmmaAvti. la tto pesalcr MBflai «tot "a >««li topo ta «Mto, «iA a vom ^mu nt^fo^ Ourtt rt a H toi any to ftoa* la tto anritoagMy «f eaetorta* tipMriiclaM •tota «! aMOiteUiMa la watMiUttto oT «to «iMrtalaHl«T ato&toito aMHii %gr fto «iat, «w o^rSMiitiea aitoU;r flvta U toal ata «a at(t fasartoC m toli« aolMaA. fa ttoa toew to«a tirttod «MUM4f «a toa t iiy , vMath, «mA BMMwa, iwnrftoHctol mmtfbmm, anft m ftotti, ttoft imiam ttoa aU ta awail. (Htflatolititiit «.

    PAGE 95

    m Hm mam UmX m «ldLt» pM»lt. HI «0 Ml, M t» •!«» «IMI MM ia tlM HULtM attiM MMM# M M MtkMMbMlMl aDMCifftMlttail i# %Im 9^pl2aASM taM fMirt |PM9«. to AOriHt AM/. «te OM CXM«M M Vllit* MM im ii Ml y i»lMC < ^1* tt^t>** MliiMy» mA MSir iAi» tM ntMitftat •• nlMift %1«>lg. mwiM iM )M*%M MMt#nflA m ISmIu SIimmi to tw UmIi ii %sr Aup tiM IMM iirtwfcl^ OCT Hit tlHM lAniMa, %ImA '^MMtaiviAisiaaUj" %*lam tii 'lliic Mter SfMp ia ite MMdMMbM tf «MM« MMlItt Mft JftilliMiK idUl MgWi t* Mlir audit Itet t hMn MS • tMilMHy M tte yiBrt of «to mmmvMt «a jdbiM uto ttliM Mirtftf tkMM3M» «• %• ^ftllM ia im r, mA %• ySbMa •titeM «l» Mgbt emwtJw tkMMlMt «• %• «f MMAk^looft i» %i» UMk Mtogirj'. la tl» 290 mmm« 'Hte «Mlara» tiM ^fer Mior/ MM lift M «» AiMNtiM «r «aM 9CMM \mum la tiiia Man Illy pMMr MMaft%f M Itto MaaXta «r «te a^^M.**^ ^^^AKa vftu^aa^ mhb «««*MMa •_ MaHA« ^DB^pBBUH&JBBDBs

    PAGE 96

    ^^ d g rt W M P nwUtl 9PtHi9 tlMMi islMS(% Sa «hl4li Im iMMdA ylaM UmmI^' Sew «eiiftiMft«i«i «r Hmw wqimmtp i ta to tt ftanA Sa ite «i*« wMA te tl» •toarUlog Jiomi if lOMit la tl» yopilattai ttm 19^ to 1990. Al«hM#i M vlU b« Mta VAtv, %it»

    PAGE 97

    *>? vMttIt la p » » t >f fWMitgr <# tin raiBlU of «lw mmm* otoli %• tlM» tvMkti^ or tte iMlil Bill— rtet m pnwifi U «1» 19^ iVOB Mm mi «rtlft«i*l wlrttiilM tto fw«att of «» I9I1O iiawM OtMot: VMilt ftWAClMilfUKltffI %M0t m. i(MMti'«
    PAGE 98

    1^ vjmmm m wum, at W 1^ 'hmm^ BiMk 1990 "^(^) SMt MitailMi HiiiniT ^Jk.t

    PAGE 99

    fORfuncsf or we^tt cimsot^ >3 ivlmst,, ar •tttto BsTMit BiMai isfke Pwonft SSmIk 1990 9mim 7*3 9.0 5.2 3.5 9.T Hltt OwtMl U.S u.o MMpMlMlt ftPlM teAik Iflt X« B» S« S*^ X9k0),

    PAGE 100

    51 tMfibtr «f tUiMi «M«M ^ MPM Hhb mm telf fiiJiiMUmii iiIm^ mbIA t»ft« MM of tm mmm MMM M9MHMM ftT 1^ IS tlW MBS #Mlir^lBftt4lffNHlB v9SpW9* vQBlPw ^nMv vDISVPIBmhMB^IV m^V «V WliMlac tiM %» p<»irifrtllM AoolA b* 4M4nr «Mi «h» Mi MMftXtd i% t« te» tMk it VVM t— MllM «• **«tjM%* «i» %• MttMftlfe «l«li tlitir mHom. M Msr Mt* «h» ttvlM tfhwtat tto iriMtryMt ^MVMMs i» tb» ywyorUM cf thi UMfc y^ iUnt a w frwlSlo ftWllrtl M tkt Ml*i«M«lM fMMi of %#«h «fei1lM Mft %1mI» MRtrflvto M «lto alMft iwiiiiMii, it vitfkft Ikm «m« < np a»Mt M lamtmm, « it «IA i» ttai tM^jMr yMloC l%«i 3^ ^ 1990. Itert «r «!«• tolMMi liMU MM t« Ik* tte MMU> iM UMi , af tte iMilll^M Hit 9«rMM fMRMrly lMtlfUi» m U«Mft> OMlMtfr to MpMAiUM, ia» JBMPgHtM itt tlW 1«tt* Mt i prj r MtMUy AcMit • ilitfit iii'MM tim %9ko%tVm t^Ma ). 9kU M9MtattM i« M^Maiiit «(y ib» f i h m of tl» ^AitMiNr cf tk» ycV^XfiKtlM tiMMMt t^Xow, \9 tte MM law aMtm guy r tt M ar %«ltM i M Mi #i a te »MMil |M » i M > t» 199K»^ «iA tqr tiM 9)m «f Mlf iMMfiriM t« flM» a So^pr H 'ipM ti lB «^ tht ta tte ildta iiifuMf. »ianMM la tia ftmpmrttm «r i*lt« fMpSa fMa 19^ M 1990 •qadally itar9 la ti» iNPtteM artl)fcr t% M ttMa «tatMi

    PAGE 101

    96 ?/®t:? 15 lli«i(n«iit

    PAGE 102

    93 7AXLS i«^OQtl]a»d w WU8SKL oummp jq wtSf sr ij'tn , ' fxu"" II." I' l l M i n i m il ' . 1 r asa ai«|«t ani 9*»t« 9»i*n«n% iMttt 141^6 IWr»4H»t ^lt« 39?C> WMT* nnicnix itef rtlwa lit«tltUea»,««iia» Willi KO «i ArtMnapBto# VX ti) Mr 1990 tt» p^mimwM «r ' MmA to iiiwri iiinnNHIHy «i«li Xlfc*

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    9imA j99aUXim is liuniily cf XaOiM * mum Pitlltfcto awpwiti*! 4^ ttei yt'MWIm af ^Im |WPilstlfl» ttet im vUtt, tinft iHi %wa ti» mm t^Hmth'$ -tinmflag « naritar if mpli i««» tl» wtMit lloni Mtafsry iM«h um ttet ftiiHMtt«i of tot to 191S0. toetol Ctoipiiimtii «f to* towUtoB BopOMtoi M of tot AiftoviBt fvttttoNM vtt4 fto tot •ttnrtos ^ to tot rtqtti tffUtotooB ttf tot tottUMn fi^iwtrtii to ISM) tat 1990, natowittiit totoMi tot iwotol cito>cirttloB tf tot MtifiB*t p ttp l t to totM too ttMM ytn?t to ImpV tBiTwtHuM tol totir StoltotoCMf to* rttitt tto<49 tC tot ftpAMktoa to 1990 air to iwiiH> toMt i( yp tt at t tot 4totoStattM tf tot Mttol •toMoto to tot po p i l J ^tffl t i tor IffP* Vto totu p^ifwHto «r tottt «to ilA «to fl^t mt tottoittiw tr tttor t*« twtatoi, at to tot i«Utir anvMat tota it to Ittt toM 0.1 ymit tf tot totol tor • fUtn ttoto. totto ttoat tat t—(lttuiy «i twtatttllta aT toto

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    55 SIVI fOO&IM^ 1990, ts^'^'

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    96 TABUB jjgMatioMd ionuraov . •. S., OoBMUi^ J avr«4«»^I8HMETr«^l^ii^Kl» xs»t, 1953), 17 iHgnritatfy

    PAGE 106

    rr tarfi fMffMtlAi «r%tecta In tiN Wufmm mglMi »> tiM bt«% fttiltle tiltlwi t9 %to pfdfclMi «r vmUI tlMfSneftUMi SB SImsiX, it Actt&i %• wt^ ttet tiM ylMlsf tafvater «f «U iMi •vvy aOxiMM Itet IM 0Mttrfi« tetwMB iikit«9, blirtw wft UOUm Avlag It mil 't loog; Mctovy tf Mdal atMNqpRMtSfli^ dMWMPM ^o^p&iHtly Ikt t^oto #f Um IiilMi la tt0 jrtMSt riilal MdM«V9 9t ttt pcpUatloi* is tM iraitM* tttttM* tbi MttJHi •miat an *••% tnnriail te tte utatw iiinprlitm tlia lartiwa whU»$ «dA in tlw laitMiar y«tt«Mi «r tl» I mMnxtMa atatM «r Mmaftaa, flaai, Omani, ttu Qraai* 40 Ibrta aai arida., anA is HRta diiw. iagrMlA alanatt Sa tht ataN «lna «M ypiMUy wat ta pia i a ai la tto aoMtal anas at «te f^enMrlgr iwliiiitil ^ aUtv* 3^i!bar oadi aa ailft ia Md Sla 4* JaMtM.^ flM fi^ atataa awtajwfm yaia i t jprnjiWaM «r iMtM «• la 4aerc««£Bf orSmr aT lial svqpartitn* tsalii Ciftafiaa, Me Onato io ttil«

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    r MA «l» IMMal n«triat. A llki Ugkbm ^ 9/Mm «ft«i f ^p gj to tl» Said iwjrtttliDfi •!«•• «• nwtt; A«M^ AMfA^ mm^mmmA Bm m mm: If Utt 1» Aanr^ AanoaM (oftfetm ««el«n)» flwiir lici ot tlM lAiite iii»inii» «r «IM yapOMtefe. 9m Kiliijiull M%te» Mmx Amdl te ft tesA iAmm Mmpom mA MteiA^ldbMAA fPsAMidMi'te Awmi m% vifkclMMA f tlw M«% yofiiteM «tot«s te ttnudl (HtaM 0nrttte» lite aw Bte «• 9ia), «M sMpaAiNwUy vhite. Ai ISlkti,

    PAGE 108

    99 Fig. 7, Racial Distribution of the Population of Brazil, "by States, 19i^0. ("Starting at 12:00 on the circles and reading clockwise, the segments represent the white, black, mixed and yellow populations, respectively). After T. Lynn Smith, 5E!!£i^v-_Z?°P?-^ s^^ Zpsti tut ions. Revised Edition, (Baton Rouge t Eouisiana "^ate University Press, 195h), p. 157.

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    Ittte i 7 fi'nwt i fnrttUtar imttM fw mA or tlw «oiar <»to. «Dn«t la tl» vwioM •taM* f>er X9S0. It f 1tf#^ rtgrtft— tt tt»» Sa ae ata^a ar laggJU iai' ^ «r tka whM it Hm ftobUitdr f«*|a af tl» MMk yifBirtlaa Mgiiir «na «Mt af altiMr t)i» «ld» yUntf j Pi twatM ta. Ai avivy atatt la ym^ Urn onftar la «hia n«Ul acta0ory «at aafnafaatljr lasfi «t Jttttfy tka aalaalatlflii oT a ftHrttUtor raUe, fl« ftgna tillalBai aat M#itr ttaa %tet Oar ttgr attar rtalaX fttaal dta awatluB af tte Mttal ALfetvaaUaU Sa OnrtlUtiar ta vtU t« tfl^ fotekivt imwlawn of tto raaftai pravyt la at* atato aaA tl» aiaa «f tka piftlttltB cT aiaSi ttata, it pwnlttai V n#aNi S. mto aakM r m« X\j aspumit tka Dttt af Ita fitrUU^ «Bai« ftpatt. Of iBttrtat U Hw thttffatttw tlMt fkt lUta aad aljatd Matal gmvt, vltfc fitr MHijlliJit^ teva iktet «l» aaat pywiiatrttB wtaa. 3ki aoXy fanr t tt t t (Mwatkaty atrglya, Bta «a Jliaaftra« «it »tm flMOt) la «id«b iibitd-%)]yeatfa an of tay tiMaviaMaf «• ttai lAita aal «iat<^l>laaftt ptpilaWtrt in H f f ^ a aft ftvttU^ aati«witt. Xt W i Wftlwm fltt St«g|]^« «M1M haw M#ar ftriUily avl^ta tlMt idatt blaaia^ aii to ttal Itela «iA Uo m jMMdxo^ «i» ra«Maa la Ufaa. Slaaa ^arifctttty I ta lw aaa ftrUUtjr nrtlaa tt» «l» raatt it 19^ aai 199D ta Jinpwitaift liaatttta of ti» dMgM tm mm la tka varSaaa raalal tfNMqpt %MH#t Atat laajrt/ %y

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    X3Q tABu: 17 warn fOR ffsz ^j^pios cci/jp. c»f?i5&c-iir, is tje m^^ | ^ ' j^[|jj^ *5*^ 90.3 se.T ft,l ».9 ks.a T5»T fft.T ?l.f — -« 76*9 IC.I tft.O — ~ Od.0 5>.5 50.5 U91 1%.^ ^.O It A 91.5 «9.0 «9.3 5t.a — — (^.T f>.5 ft.5 — T9.« «.S — -^ 77. 68 S ik.9 a\s .—• T3.9 72.3 ^.0 •«-* ^.1 71.S 51.0 «»•« S.O 55.6 — .^ 6S,k .^ jfca «M-^ a.9 1^7 96.t ^^.1 ^.3 tS.5 63.0 •— • 757 me «i *Mlio 65.5 69.4 7^.6 71*7 ai«tri«» Maral 36.2 5^.0 •..•^ ^,5

    PAGE 112

    zo^. WSSJH ^7 omxikmmA fmnvm tmrnwaumnmam aam I'l ij i iii ju.i nil' ' I'll' ' •''juLi>^ ' ^--^ gg ^iiiri2jL^' '''' *' 1«Lt« UMk t«Uiir imVk iiolteltf 9^.6 »*^ 7^3 65.T T?A ».5 "'?'^ 7^1 iMte CMultM HX.8 71.5 o*-*^ T3.0 uto ifii *» a»x 66.^ 9'3.o •-•i^M. (3^«c llMft OWtettl T^.7 53.0 9^.1 ^.5 rt'9 €33 ^i.r *" *» Wmda ^.3 55.^ 79.T y:>.2 >ako « ]99«)> ,r i ff .I|te | i'i | i |li| | Wf tf JMTii J^Mimt iMPvi^, oSTyTTTI. 1.; S||l« Vm, 1993)» i%CVJ|F>

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    lOU FERTILITY RATIO mH UNDER 49 I 159 1-69 Fig. S. The Level of Fertility by Race and States, Brazil, 1950. (starting at 12:00 on the circles and reading, the segments represent the white, mixed, black and yellow populations, respectively). Prepared from data in I. B. G. E., Conselho Nacional de Estatfstica, VI Recenseamento Geral do Brasil, Censo Demografico (l de julho de 1950), Selegao dos Principals Dados , (Rio de Janeiro: Servigo Graflco do I. B. G. E., 1951, 1952, 1953)> passim.

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    PAGE 119

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