Women and migration
African female immigration to the United States and its policy implications
Kevin J.A. Thomas and Ikubolajeh Logan
Abstract This study examines the dynamics of female African immigration and settlement in the United States and discusses the research and policy
implications for these processes. It highlights a significant surge in female immigration from African than non-African countries in recent
years. This surge is driven by female immigration from Africa’s countries most populous countries, from countries affected by civil conflicts,
and from English-speaking countries in the region. African women are also more likely to arrive as unmarried single than other female
immigrants. In addition, they had the highest prevalence of Bachelors, Masters, or Doctorate degrees among women in the US. African
females were also about twice more likely to be enrolled in US Educational institutions compared to other women. Those in the labor force
were more likely to work as nursing professionals than in technical occupational groups such as engineering and computing. The study
concludes by discussing the research and policy implications of these findings for countries in the developing world.
Keywords: Migration, Women, Development, Africa
Introduction Although African migration has arguably been male-dominated, females have a long history of participation in both its international and
internal dimensions (Zlotnik 1995, Gulger and Ludwar-Ene 1995, Trager 1995, Ulicki and Crush 2000) dating back to the pre-colonial period
(Nelson 1992). Female migration is also a constant feature of the dynamics of population mobility in post-colonial Africa. In the 1960s,
African women accounted for about a third of all international migrants from the continent (Zlotnik, 2003). In the following decades, African
international migration (AIM) experienced an even greater level of feminization especially with regard to migration flows originating from
sub-Saharan African. Zlotnik (2003) notes that between 1960 and 2000 the percentage of sub-Saharan African women involved in AIM
increased by about 7%. Although this increase is modest, it represents the largest relative growth in the feminization of migration stocks
across all world regions during this 40-year period.
In terms of destination choices, African females have traditionally migrated in greater numbers to other countries within the continent.
Alexander (2000) traces the involvement of significant numbers of females in migration movements within Africa to the early 1900s. During
the 1970s, Nigeria, Botswana, and Swaziland emerged as major destination countries for large flows of female migrants from Ghana who
emigrated as a result of the country’s economic crisis (Brydon 1992). By the end of the last century, female migration in Africa had become
more directed towards South Africa, one of Africa’s major countries of immigration (Ulicki and Crush 2000, Peberdy and Rogerson 2000).
Despite their importance in AIM, the literature on female migration remains sketchy. Much of what can be deduced about the dynamics of
female participation in the process is either anecdotal or subsumed under generalized studies that focus on males. A few studies have,
however, started to change this trend (see Findlay 1997, Adepoju 2000). This evolving discourse attributes increased female participation in
all aspects of AIM to globalization. While globalization forces certainly affect both male and female migration patterns, in the past few
decades they seem to have had a more profound impact on the feminization of AIM and especially on the mobility of female professionals.
There are no existing detailed analyses to verify this, but generalized trends suggest that the current international labor market favors certain
types of professions, example, nursing, medical technicians, and office and computer administrators, in which African females have
competitive advantage over their male counterparts. The United Nations also estimates that the absolute number of female migrants from
Africa to Europe, Canada, the US and Australia, more than double between 1960 and 2005 (UN 2006). Other estimates suggest that females,
especially those in the younger ages, have become a significant component of the increasingly large African migrant population the US (Kent
2007).
The nascent scholarship on the feminization of AIM is salutary because of its departure from earlier, gender-neutral analyses (for good
examples, Reynolds 2006).Yet, this emerging discourse has not succeeded in providing detailed analyses of female participation in AIM.
While many studies have addressed the experiences of female immigrants from other world regions in the US (Sullivan 1984, Cobb-Clark
1993, Donato 1993, Cerrutti and Massey 2001), there are few systematic interrogations of female participation in AIM.
The present study is motivated by the need to expand scholarship on the role of women in several aspects surrounding AIM: general female
participation; the participation of female professionals; and the socioeconomic status of African female immigrants and professionals in the
developed world. We explore African migration to the US as a reasonable point of departure to illuminate these issues. Using US census
data , we attempt to achieve our broad objective of establishing a comprehensive portrait of the female African population in the US.
Specifically, the analysis will attempt to achieve the following four aims. First, we compare the recent immigration patterns of African
female and male immigrants in order to examine gender differences in African immigration to the US. In the exposition our first objective,
we also examine the question of how information on the marital status (i.e. single, divorced, married, etc) of arriving female immigrants
shapes our understanding of the dynamics of their immigration patterns. Secondly, the study compares the educational attainment of African
females with those of their non-African immigrant and US-born counterparts. In other words, we juxtapose the schooling attributes of
African and non-African females to draw attention to important nativity differences in human capital endowments among females. Our third
task is to describe the economic characteristics of African females. In the process, we pay particular attention to differences in occupational
characteristics, employment, and income between African females and other females. We locate the first two objectives within the
globalization-African brain drain-Diaspora rubric and we use objective three to glean some insights into the relative economic and
professional accomplishments of African female immigrants in the US. Finally, we attempt to sketch out some research and policy
recommendations surrounding the ramifications of female migration from Africa.
Conceptualizing Female Participation in AIM Contemporary migration patterns among African females involve a growing number of destinations beyond the borders of the continent.
Kofman (1999) underscores this point by arguing that female migration from North Africa to Europe plays a significant role in overall
international migration movements between the two regions. These flows have their origins in the Algerian war of the 1950s during which
large number of females emigrated from Algeria to other European countries. Recent estimates for the United Kingdom indicate that the
number of female migrant workers arriving from Africa more than doubled between 1998 and 2002, in sharp contrast to the slower rates of
immigration among African males (Robinson 2002). Andall (1999) highlights the fact that Cape Verdean women now migrate to Italy in
significant numbers either in search of better employment opportunities or in order to use Italy as a transit point from which they move to
other European countries such as the Netherlands. There is also evidence that migration from Equatorial Guinea and Cape Verde to Spain is
now dominated by females (Ribas-Mateos 2000).
Labor market discourses provide a number of important contextual lenses for understanding the growth female participation in AIM. One
view is that the dictates of economic globalization result in a positive relation between the volume of emigration of highly skilled migrants
from a country and the level of poverty in that country (see, Kofman and Raghuram 2006). Locating our own analyses in this framework, we
would expect that female migration from poorer African countries is likely to capture increasingly large numbers of skilled professionals and
that their human capital characteristics, incomes, and employment rates are likely to be higher than those of females migrating from wealthier
African countries.
Not surprisingly, declining economic performance in many African countries, combined with the attraction of better opportunities abroad, is
a significant contributor to the increased participation of African females in AIM (Pedraza 1991; Peil 1995; Adepoju 2002). The growing
involvement of African women in AIM, therefore, transcends traditional explanations that hinge on family reunification purposes. In fact, the
conventional assumption that most female international migrants are trailing spouses is increasingly becoming untenable within the African
context. Kofman (1999), for example, argues that in the 1990s, African males who were dependent spouses outnumbered their female
counterparts in the United Kingdom. These patterns reflect the fact that, at least in the context of the United Kingdom, African females had a
higher likelihood of being employed in professional and managerial occupations.
The apparent economic nexus in the feminization of AIM is important. With increasing levels of education among African women in the past
decades, they have become more qualified and willing to participate in the migration of skilled professionals (Peil 1995, Adepoju 2002).
Adepoju (2002) argues, further, that African women are now increasingly involved in international migration movements as a part of an
essential strategy of survival, reflected, for example, in the tendency for female African nurses and health professionals to migrate in search
of better opportunities abroad (Pang, Lansang, and Haines 2002, Kline 2003).
There is little doubt that the high demand for specific skills in the global labor market has facilitated the migration of African professionals,
1
irrespective of gender (King and Newbold, 2007; Khoo et al., 2007). We conceptualize female participation in AIM by extending these
analyses to make a case that the same supply-demand imperatives that skew the process in favor of all professionals (males and females
alike), seem to have had a greater positive impact on the mobility of female professionals (Cohen et al., 2008,; Massey et al., 2006; Eisikovits
2007). For the African case, this gender orientation may be explained in terms of a linked chain of socio-cultural factors: (I) African cultures
have often inhibited the migration of females, including professionals, except as accompanying spouses -> (ii) as a consequence, the supply
of professionals from many African countries to the global labor market has been male-dominated -> (iii) male domination of the process has
created a significant untapped pool of female African professionals -> (iv) additionally, African females have been encouraged traditionally
to pursue non-academic (more so than academic specializations) which coincidentally and fortuitously, are now in heavy demand in the
global labor market -> (v) African countries, therefore, often possess a large and variegated pool of female professionals, which is now being
recruited by small and large enterprises stretching from Australia, through Europe to North America (see Khoo et al, 2007). These
globalization dynamics have had gendered impacts on AIM, in general, and on the African brain drain, in particular.
Globalization has facilitated the feminization of AIM by making it easier for skilled migrants to use one country as a stepping stone to a
preferred destination where they believe that career opportunities are more plentiful. Donor (2005) reports that during Ghana’s economic
crises in the 1980s, women with limited financial means preferred to migrate to Nigeria, where the prospects of employment were much
better, in order to financially prepare for their eventual migration to countries Europe. In discussing Canada as a stepping stone, King and
Newbold (2007:910) observe that ‘…there have been suggestions within the popular press and recognition within Canada’s federal
government that the failure of highly trained immigrants to find meaningful employment within Canada, given the reluctance of employers to
recognize foreign credentials, has led to their departure to jurisdictions (primarily the United States) which may be more readily accepting of
international credentials.’ The implications of this process for the feminization of AIM may be explained at least by two factors: female
professionals are likely to be risk averse and so eschew illegal channels of immigration; and they are more likely to be accompanied by
children. As a consequence of this combination, female professionals are also more likely than males to opt for ‘soft spots’ in the legal
migration system over shadier, illegal options. This means that they also are likely to use as a country like Canada and some Scandinavian
countries as entry points to the West and from which they can then eventually travel to a desired destination in the US, where their credentials
can offer them more satisfactory career opportunities.
An important strand of international labor market discourse conceptualizes the impacts of globalization on the propensity of professionals to
migrate in terms of the human capital attributes of the potential migrant (age, sex, educational attainment, marital status, etc.) e.g. in
Feliciano (2005), Kanpur and Rapport (2005). In the past, these explanations have been directed primarily at male migrants but the
increasing professionalization and economic empowerment of African females indicate that the same factors can be used to explain the
increasing importance of females in AIM, with or without their accompanying spouses. For example, the human capital explanation often
alludes to proficiency in the language of the host country as an indicator of the potential for a migrant to succeed professionally in that
country (Fennelly and Palasz 2004). In the US case, it has often been assumed that this phenomenon favors male professionals from
Anglophone Africa, who are supposed to be better qualified and to have a better command of English than female migrants. This assumption
could now be questioned as females in professions like nursing show that proficiency in technical English may be a more germane indicator
of professional and economic success because it facilitates job accreditation.
Even though there is no clear evidence to establish causal linkages between them, an intuitive case can also be made that an important
element of the globalization of labor is the ability of migrants, especially professionals, to obtain dual citizenship. While this is relevant for
both male and female professionals, Reynolds’ study of Igbo professional women in Chicago (discussed in greater detail later) suggests that
their decision to migrate is tied directly to the fact that they are able to maintain a dual status, which combines recognition at home of their
economic and professional elitism with recognition abroad of their middle class, professional status. This dual socioeconomic status is
facilitated and enhanced by a dual legal, citizenship status.
Sassen (2003) combines human capital and globalization explanations in her argument that while female emigration from Africa may be
linked to their expertise, it has also been precipitated by other global factors such as IMF and World Bank Structural Adjustment Programs.
Though designed to bolster African economies, these programs have had negative effects on employment, exacerbated poverty and
contributed to the increased feminization of what Sassen refers to as migration circuits of survival. This phenomenon generally involves
migration from low to high income countries and is important for understanding female participation in AIM because the timing of the
economic downturn in African countries coincided with a rising demand for specific types of skilled labor in high income countries. The
combination of declining economic performance in sub-Saharan countries, concomitant declines in real wages, and increasing demand for
specific skills in the West, provided an impetus for highly educated African females to become more actively involved in AIM (Kofman
2000; Mahler and Pressar 2006).
Sassen’s migration circuits of survival could be extended to conceptualize strands of female participation in AIM as components of
international involuntary migration movements that clearly have a survival nexus. For example, while refugee movements do not fully
explain recent surges in total African immigration to the US, they shed some light on the female dimension of the process in two ways. First,
refugees, a large number of them females, comprise a significant element of migrants from some African countries such as Somalia,
Ethiopia, and Eritrea (McSpadden and Moussa 1993). Second, females are over-represented in forced migration flows from African countries
affected by wars (Pedraza 1991). Although, it is difficult, if not impossible, to identify the contribution of female professionals to this
process, the higher representation of females in many African forced-migrant populations is now well documented (Ager, Ager, and Long
1995, Kibreab 1996, Martin 2004). Lubkemann (2000), for instance, has described large female migration flows from Mozambique to
Zimbabwe and South Africa during the Mozambican civil war. Mozambican female movements to South Africa are still important even after
the end of the Mozambican war more than a decade ago. Some estimates indicate that females account for more than half of all cross-border
traders moving from Mozambique into South Africa (Peberdy and Rogerson 2000). One aspect of forced migration, the sex industry, may be
linked directly to the unsavory side of globalization. Jua (2003) attributes the over-representation of Cameroonian females in Switzerland to
this factor. He also argues that many of these women are driven by the desire to earn enough money to finance their children’s schooling at
home. The association between female African migration and such irregular movements is not solely limited to immigration flows to Europe.
Other studies, e.g. Peil (1995), have observed similar patterns in the international migration movements of females within the African
continent. The evidence suggests also that female professionals from some countries, example Zimbabwe, have been forced by economic
vicissitudes at home to emigrate and participate in the sex industry in neighboring countries.
Although the decision to migrate is often at the core of many brain drain studies (Logan, 1999), women’s agency in decision-making has
been minimized under the assumption that their migration is tied to the decisions made by their spouses. This interpretation often views
female migrants are “trailing” or “tied” spouses (Mincer 1978, Breugel 1996). The importance of agency to our understanding of female
migration flows is now being increasingly emphasized (Mahler and Pessar 2006, Pessar and Mahler 2003; Massey et al. 2006). Since
economic globalization increases the migration of African women, in general, and female professionals, in particular, AIM is likely to be
associated with greater levels of agency among female migrants. This argument has some important implications: African women are likely
to arrive in the US as unmarried singles and not as married women for whom the initiative to migrate is linked to the decisions of their
spouses; and, even if married, because many are likely to be highly educated professionals, African women are also likely to be the ones
‘carrying’ their male spouses along with them on their visas. It is possible, therefore, that despite high levels of agency among single African
female migrants, some African women migrate, as married singles, and subsequently sponsor the migration of their spouses and children,
after economically establishing themselves in the US.
The notion of female agency in AIM has been elaborated by Reynolds (2006) in her analysis of Igbo women in the Chicago area. She makes
the case that educated Igbo women migrate in order to maintain their elite status back home, which emanates from their high levels of
education. Her analysis suggests that the imperative to migrate is tied to an interlinked series of cultural considerations: educated Igbo
women have financial obligations to their families and children; nevertheless, the cultural environment favors men in the job market even
when they are less qualified than females; educated women find that their elite professional status is not consistent with their incomes and job
positions at home; they decide to emigrate to countries where these conditions can be satisfied. The decision to emigrate, therefore, is based
on an assessment of the actual financial and professional status of women at home versus the anticipated opportunities abroad and resonates
with our earlier position that a ‘linked chain of socio-cultural factors’ define the increasing feminization of AIM. For African women with
lower levels of schooling, however, migration is mainly motivated by the desire for higher incomes and not necessarily driven by the desire
to increase social status. Osirim (2008) suggests that despite the low social status of these African women, their relatively high US incomes
make it possible for them to send remittances back home and thus maintain a sense of connectedness with origin societies where they are
more highly valued.
The adjustment and settlement of migrants, including professionals, in destination countries abroad, offer another important conceptual lens
for understanding the feminization of AIM. In terms of labor market outcomes for example, Kofman argues that a conceptual dichotomy
exists in the analysis of male immigrants, who are assumed to dominate the high-tech industrial sector, and their female counterparts, who are
believed to be concentrated in menial, racialized, and intimate forms of employment (Kofman 2000, Kofman 2004, Kofman and Raghuram
2006). This explanation, which is often anecdotal in nature, will be interrogated with available data in a later section of this study.
In summary, the present phase of economic globalization has placed high demand on specific fields that are not necessarily in the academic
specializations where African males tend to predominate. The present high international demand for professionals in nursing, business and
office management have presented unique opportunities for African females, who have traditionally been routed to such areas as ‘female’
specializations (this is not to suggest that female professionals are only in these specializations.
African immigration to the United States Like their male counterparts, African females have traditionally been invisible in the contemporary literature on immigration to the United
States. This trend appears to be slowly changing as a number of new studies, have included African immigrants in the examination of
selected outcomes among the immigrant population of the US (e.g. Butcher 1994, Dodoo 1997, Massey et. al. 2007). For almost two
centuries prior to the end of the twentieth century, African immigration to the US was virtually nonexistent. In fact, during the 150 year
period following the end of slavery in the 1860s, African immigration to the US was institutionally impeded by restrictive immigration laws
that prohibited the immigration of non-White populations to the US (Konandu-Agyemang and Takyi 2006, Kent 2007). Immigration reforms
enshrined in the Immigration and Nationality Act in 1965, the end of national origin quotas, and the new Diversity Visa (Lottery) Program,
have now combined to facilitate the resumption of large-scale immigration of African nationals to the US.
Contemporary African migration to the US has increased at an exceedingly rapid rate. Some estimates indicate that while about 46,000
Africans arrived in the US between 1861 and 1961, in the decade of the 1980s alone the number of African immigrant arrivals was about
five-times this number (Konandu-Agyemang and Takyi 2006). The various explanations generally given to account for the increase in
African arrivals in the US have been explored in several studies (e.g. Gordon 1998). As expected, the main impact of these trends is that they
have contributed to the increased proportional contribution of Africans to the immigrant population living in the US (Hatton and Williamson,
2003).
The new interest in the outcomes of Africans in the US seems to have excited little scholarly interest in the gender dimensions of African
immigrant experiences. Only a few studies exist, which address the characteristics and experiences of African women in the US (Reynolds,
2006). Agbajoh-Laoye (2006), for example, uses the experiences of Ghanaian market women in Harlem, to examine the extent to which
female immigration to the US is associated with the mitigation of traditional norms and expectations. Among her main conclusions is that
structural forces associated with ethnic and racial discrimination in the US, limit the extent to which African women can experience social
mobility after their arrival, even if they have educational credentials from US and other western institutions (see also, Maundeni 1999).
These studies also argue that post-immigration adjustment processes are much more difficult for African females than for their male
counterparts. In general, however, the analysis of the outcomes of African women in the US available in previous studies is far from
complete. This is partly due to the lack of information on Africans in almost all traditional datasets used in contemporary US immigration
research, as well as a tendency for some studies to focus on selected African populations.
This study therefore attempts to bridge this gap by examining immigration experiences of African women from a broader perspective that is
informed by empirical data. Traditional statistics on immigrants published elsewhere (e.g. US Department of Homeland Security, 2007) are
however unsuitable for an extensive analysis of African female immigration patterns since they are rarely disaggregated by sex. In contrast,
census data are a reliable source of representative information immigrants, i.e. the foreign-born population, as well as their social and
economic characteristics. The 1% sample of the 2000 US census data is therefore used to glean important insights on African females in this
study . However, for analytical simplicity, we focus only on African female adults, i.e. those above age 17, since women below these ages are
less likely to contribute to the outcomes examined in this study.
The US immigration patterns of African women According to the 2000 US census, there are about 325,000 adult African women living in the US. Considering the large size of the total US
immigrant population, about 31 million people (Malone et al 2003), this figure is relatively small. African women are distinguished from
other immigrants in terms of the recency of their immigration patterns as well as their unique socioeconomic characteristics. Census data on
the years of arrival of female adult immigrants currently living in the US are presented in Figure 1. To simplify the presentation of the data,
2
3
the distributions are shown only for the 1985–99 period . The percentage for each year represents the percentage of all migrants currently
living in the US who arrived during that year.
Figure 1
Percentage distribution of adult female Immigrants in the US by year of arrival
The data presented in Figure 1 indicate that close to one third of all African women in the US during the last census immigrated to the
country in the five-year period spanning 1995 and 1999. The data indicate, further that, when compared to all female immigrants to the US, a
disproportionately high percentage of African women arrived in the last seven years of the previous decade. Before this period, there was
apparently no meaningful difference in the arrival patterns of female Africans and all female immigrants. Between 1985 and 1993, for
example, the percentages of both the overall population of immigrant women and their African counterparts who arrived in the US were
generally the same. Thus, among the population of female immigrants in the US, the percentage of Africans who arrived in the years between
1985 and 1993 was closely similar to that for all female immigrants who also arrived during this period. Proportionally, however, the wave of
African female arrivals in the 1990s exceeded normative patterns of female immigration to the US for the first time around 1993 and
consistently increased in the final years of the last decade. In fact, according to the US 2000 census 7.5% of all African women in the US
arrived in 1999 alone.
In comparative terms, the growth in the number of female Africans arriving in the US in the last two decades was much faster than that for
African males. The 2000 census, for example, indicates that the number of African males who arrived in 1999 was about 200% higher than
the number of males who arrived in 1985. In contrast, the number of African females who arrived in 1999 exceeded the corresponding
number of females who arrived in 1985 by more than a factor of three.
Further attempts at capturing gender differences in the arrival patterns of African immigrants are presented in Figure 2, which uses weighted
estimates of the size of the male and female African immigrant population who arrived in the intervening years between 1985 and 1999.
Figure 2 indicates that only about 4,000 more African males arrived in 1989 than in 1985. Despite this increase, the number of African males
who arrived in 1994 was lower than the respective number of male arrivals in 1990 by about 1,200 persons. Close to 60,000 more African
males arrived in 1999 than in 1995. Although the male increase in the final five-year period is more dramatic, the number of new immigrant
arrivals at the end of each five-year period was consistently higher than the number of females arriving at the start of the period. In addition,
the magnitude of the female differences was generally higher than that for males except for the 1995–1999 period. There were about 20,000
more African females arriving in 1989 than in 1985, compared to 4,000 more for African males who arrived during this same period.
Similarly, although there were a thousand fewer African male arrivals in 1994 than in 1990, the number of African females who arrived in
1994 exceeded the number who arrived in 1990 by about 47,000.
Figure 2
Difference in the size of the African adult population arriving in the US, by selected years of arrival and gender
Consistent with larger growth of the African female population relative to the male population is the increasing ratio of female to male
immigrants in the US who arrived in each year during the last two decades. As Figure 3 illustrates, the trend in the ratio of females to males,
in terms of years of arrival, is clearly distinct for African adults compared to the trend observed for all other immigrants. Among African
immigrants who arrived before 1980, for example, there were about 75 females for every 100 males, while for all immigrants combined there
were 109 females for every 100 males. Among immigrants who arrived in 1999, the corresponding ratios for Africans and all immigrants are
essentially the same. In general, the differences in the respective trends are instructive because they point to gender differences between the
normative patterns of the overall US immigration trends and the respective trend for African immigrants. In short, while among the total
immigrant population the ratio of females to males who arrived each year in the last two decades is about the same for all years, the evidence
suggests that the traditional predominance of males in the African immigrant population is slowly being reduced by recent increases in the
immigration of African females.
3
Figure 3
The ratio of female to male adult immigrants living in the US, by year of arrival.
Major countries of origin
Table 1 presents estimates of the characteristics of immigrants from the major countries of origin of African female immigrants in the US.
For increased clarity, the table presents estimates for the top five countries of origin in selected regions within Africa. The distributions
presented in Table 1 reveal several important findings. First, in terms of the absolute population sizes, the most important origin countries of
African female immigrants are the countries with the largest populations in Africa. For example, in absolute terms, female immigrants were
most likely to come from Nigeria, Egypt, Ethiopia, and South Africa, which according to UN estimates (UN 2007) are also four of the five
countries with the largest populations in Africa. Second, the estimates indicate that close to between 20% and 50% of all female immigrants
from the major African countries of origin arrived in the US in the five-year period preceding the end of the twentieth century. At the same
time, the distribution of the ratios of females to males indicate that among the major countries of origin, female immigrants from the Arab
countries of North Africa are generally more likely than other females to be under-represented among the immigrant population from their
respective countries. In contrast, these ratios are considerably higher for immigrants from countries in Southern Africa, especially for
immigrants from Swaziland, among whom the data indicate that there were at least 29 females for each male immigrant. In some cases,
females also outnumber males among immigrants from selected countries, e.g. Sierra Leone Somalia, and Ethiopia, that experienced civil
conflicts in the 1990s. However, these patterns are not consistent in other countries in Table 1 that had civil conflicts. Nevertheless, the
perception that higher female to male ratios are likely to be reflection of the effects of forced migration movements, is reinforced by the fact
that according to Table 1 the largest wave of female immigration from the African continent in the late 1990s i.e. between 1995 and 1999,
was from Somalia (about 60%) and not from an African country unaffected by war.
Table 1
Distribution of the major African female immigrant populations by the top five countries of origin of within selected African regions
Table 1 also shows that, with few exceptions, the most important countries of origin for female immigrants from Africa are also the
continents’ major English speaking countries. In absolute terms, female immigrants were more likely to come either from Africa’s former
British colonies such as Nigeria, Zambia, Sierra Leone, or from countries such as Liberia that have a strong historical relationship with the
US. This apparent linguistic nexus is not new. As observed among migrants in other studies (Castles and Miller 2003), immigration to the US
and other English speaking countries in the West is strongly associated with an ability to communicate in the language of the destination
country even before migration occurs.
The social and economic characteristics of African females in the US
Traditionally, female migration patterns have consistently been conceptualized within the context of family migration. Although marital
status information are needed to examine the prevalence of such patterns among immigrants data limitations on the marital status of females
during the migration process usually constrain the ability of researchers to test the validity of the trailing spouse hypothesis. In this study, the
marital status of females during the year of migration is inferred from the analysis of marital status information for females who immigrated
to the US in the year preceding the census, i.e. the marital status of women who arrived in 1999 before the census in 2000, since transitions in
marital statuses are less likely to occur within year after their arrival.
The examination of the marital statuses of the most recent African female arrivals in the 2000 US census, i.e. those arriving in the past year,
shown in Table 2 suggests that not all African female immigrants can be classified as trailing spouses. In fact, more than one third (i.e. 36%)
of all African females who arrived in the US in the year preceding the 2000 census had never been married before. For these women,
therefore, individual agency seems to be the main determinant of their migration decisions and not spousal commitments as would be
suggested by conventional approaches. In fact, adult African females are more likely to arrive in the US as singles (i.e. never married,
divorced, separated) compared to all non-African female immigrants who arrived in the previous before the census. In fact, more than half of
all African females who arrived in the previous year was either currently not married or did not have their husband present with them. As
Table 2 demonstrates, this proportion is much higher than the corresponding proportion for the most recent female immigrant arrivals from
non-African countries. On the whole, even though all African women (Column 2) were also generally less likely to be married as all non-
African immigrant women, African women were on average more likely to be single than their non-African female counterparts.
Table 2
The marital status distribution of female African immigrants in the US
Given the attention given the loss of African professionals in the ‘brain drain’ literature, we examine the educational characteristics of
African women in the US in Table 3. Our focus is mainly on women with professional and university level credentials since the brain drain
literature pays particular attention to highly skilled migrants. According to the results, African females are on average more likely to possess
bachelors, masters, and doctorate degrees as was well as other professional qualifications, compared to non-African female immigrants or
even US-born females. Juxtaposed with the limited studies on African immigrants in the US, these patterns are not necessarily surprising.
Other previous studies, e.g. Kent (2007), and Mbaya, Mrina, and Levin (2007), have pointed to the higher educational credentials of African
immigrants in the US although not within the exclusive context of the examination of the outcomes of female African immigrants.
Table 3
The educational characteristics of African and non-African female adults in the US
Further analysis of the census data revealed that the most educated African females were generally from Africa’s most populous nations, or
from the southern, western, or northern African regions. Women from Egypt, for example, were the most likely to possess bachelor’s
degrees, followed by their counterparts from Nigeria, South Africa, and Kenya respectively. With regard to master’s degrees, the highest
percentages were again observed among immigrants from the Nigeria, followed by their counterparts from Egypt, South Africa, Ethiopia,
and Morocco. At the same time, females form Egypt, Nigeria, South Africa, Tunisia and Kenya had the highest percentage of doctorate
degrees. These were also generally the same origin countries of African females who had other professional qualifications.
In general, these patterns suggest that there may be considerable educational selectivity in the immigration of African females from many
non-English speaking countries in Africa to the US. In other words, the inability to speak English may limit the ability of less educated
women from these countries to immigrate to the US. As a result, only the most educated women from non-English speaking countries, or the
women from these countries most able to obtain higher educational credentials, are likely to migrate to the US.
Another perspective on the human capital profiles of African females can be derived from the analysis of their occupational distributions.
Since the census provides information on close to a thousand occupational categories, we simplify the analysis in Table 4 by focusing on
individuals with post-secondary schooling who are employed selected occupation groups. Consistent with previous research on the migration
of health workers from Africa, our results show that a larger percentage of African women, compared to non-African immigrant and US-born
women, are employed as nurses, i.e. Registered Nurses (RNs), and Licensed Practical or Licensed Vocational Nurses (LPNs and LVNs). In
fact, Table 4 further suggests that African women are more likely to be concentrated in the nursing profession in comparison to
engineering/architectural (e.g. Architects, civil, biomedical, mechanical, and marine engineers), computing/mathematical (i.e. computer
programmers, computer scientists, systems analysts, actuaries, mathematicians, and statisticians), or management-related occupations.
Similarly, African women are slightly more likely to be employed as physicians, surgeons, or dentists compared to non-African immigrant
and US-born women. However, with the exception of the nursing and legal occupations, African males have a greater proportional
representation in the rest of the occupational groups presented in Table 4.
Table 4
Gender and nativity composition of selected occupation groups for individuals between age18–65 with post-secondary
In general, estimates presented in Table 5 (top panel) show that African women have higher levels of participation in economic activity than
other female immigrants, but not as much as their US-born counterparts. On average, the employment data indicates that the percentage of all
African women between ages 18 and 65, who were employed (61%), was slightly lower than that of US-born women in that age-group
(67%), but generally higher than that for all non-African women (54%). Although levels of employment have a positive association with
educational attainment in Table 3, differences in education appear to have a more limited impact on the likelihood of employment among
African females. In other words, the differences in the employment rates of women with doctorates and those with bachelor’s degrees are
lower among African women than among other immigrant women and their US-born counterparts.
Table 5
The employment and working hours distributions of African immigrant, other immigrant, and US-born females between ages 18and 65
African women in the US, therefore, appear to have lower constraints to labor force participation at least when compared to other female
immigrants. One logical explanation for this is that African women generally come from poorer countries compared to other female
immigrants, and are thus likely to experience a greater need for sending remittances back home. This explanation is consistent with research
showing that migrant women from poorer origins have a greater tendency for sending remittances and that female immigrants generally remit
more consistently than their male counterparts (Osaki 2003, Vanwey, 2004). Also consistent with this notion is the fact that Table 5 (bottom
panel) shows that African women work for slightly longer hours per the week than other immigrant women, although not as much as their
US-born counterparts. The longer average hours of work among Africans relative to those of other immigrant women is driven by the longer
working hours of African women with professional and doctoral degrees. In fact, even though African women with bachelors and masters
degrees work for fewer hours on average compared to their US-born counterparts, among women with professional and doctoral degrees
African and US-born women work for about the same number of hours per week.
In the context of the longer working hours and the higher educational characteristics of African women, their higher levels of average income
relative to that for other immigrant women shown in Table 6 is not surprising. Two important income patterns in Table 6 are however
essential to the broader understanding of the incomes earned by African women. First, African women with bachelors and masters degrees
have the lowest mean income levels among women with similar educational credentials. In relative terms, it is also among women with
master’s degrees that African women experience the lowest mean income levels in comparison with their other immigrant and US-born
counterparts with a similar level of qualification. A second important finding in Table 6 is that the overall income advantage of African
women relative to non-African immigrant women is mostly driven by the incomes women with professional credentials and doctoral degrees
especially with the regard to the incomes of the former. Indeed, the fact that professional degree holders have the highest incomes levels in
the US is now very well established (Day and Newburger 2002). Professional degree holders, such as people with MBAs, as well as doctors,
and nursing professionals, are generally more likely to be employed in sectors where earnings are higher (e.g. insurance, banking, and health
sectors) compared to those with doctorate degrees who mostly work in universities. On the whole, these findings, in combination with those
in Table 6, suggest that in comparison with other female immigrants, Africans have higher incomes because of their more favorable human
capital characteristics and because they work for slightly longer hours.
Table 6
The income distribution of African and non-Africans between age 18 and 65 in the US, by gender
Despite these apparent economic, African females generally have the least favorable outcomes among women in the lower end of the
socioeconomic spectrum. On average, along with other female immigrants, African females experience higher levels of poverty compared to
US-born women (Table 7). Similarly, a larger percentage of African than non-African females receives welfare payments from the
government underscoring the fact that the economic assimilation processes of all African women are not necessarily the same. Disparities in
the likelihood of receiving public assistance are even higher among women who are in the retirement ages. As Table 7 illustrates, African
women above age 64 are the least likely to receive Social Security incomes in comparison to other women. Apparently, fewer African
women are eligible to receive social security payments because most Africans in the US are recent immigrants who may not have lived in the
US long enough to meet all the Social Security eligibility requirements.
Table 7
The distribution of African and non-African adults in poverty and receiving public assistance, by gender
Discussion and conclusions Using the recent surge in African immigration to the US as a backdrop, this study has underscored the fact that the experiences of African
women are essential to a comprehensive understanding of these trends. On the basis of our empirical results, the conceptual basis for
analyzing female migration from Africa is clarified in several ways. For example, the study demonstrates that the recent immigration patterns
of African women are inconsistent with traditional conceptualizations of female migrants as trailing spouses. Most newly arrived African
females are independent unmarried women who travel to the US without spouses. Moreover, the arrival of a higher percentage of unmarried
African females relative to their non-African counterparts suggests that contemporary female migrants from Africa exercise a greater level of
agency in their migration decisions. More importantly, these perspectives underscore arguments made by scholars such as Okome (2005),
who suggest that African women now exercise and deploy power in ways that are not always recognize in existing studies. At the same time,
the weak association between marriage and African female immigration patters suggests that the same migration-inducing factors that
stimulate male migration from Africa are also critical to informing the migration decisions of African females.
Concurrent with the increased female African migration to the US are significant processes of educational selectivity. Two findings are used
to validate this point. First, more African females have higher-education credentials compared to other female US residents. Second, African
females in the US are also more likely pursue educational opportunities in US institutions. Given the fact that average levels of schooling in
Africa are among the lowest in the world (UNESCO 2009) the exemplary human capital characteristics of African females are somewhat
paradoxical but consistent with the dynamics of the brain-drain from Africa to the West. By accentuating the significance of African women
in the migration of skilled Africans this study further illuminates the significance of female African professionals to the understanding of
brain-drain processes.
Based on these findings several implications for research and policy development can be identified. In terms of future research, the following
outstanding issues will need to be addressed. Further attempts need to be made at deconstructing African female migration patterns to
analyze factors such as their use of official and unofficial channels of immigration to the US and their intentions to stay or return home. The
nexus between female migration within and out of Africa also needs to be defined at the empirical and conceptual levels. Studies on their
family formation processes and their integration into the institutional structure of their host societies will also enhance our understanding of
the dynamics of their assimilation into the US. In particular, the implications of female labor force participation for African traditional
notions on household division of labor need to be addressed. Similarly, although African women experience significant levels of economic
success in the US, their success needs to be matched by an equal representation of their economic contributions in research on migration and
development.
At the policy level, a greater recognition of the role of women in the migration of African professionals is critical to the development of
adequate policy responses. Our results suggest that although policy discussions on female migration that focus on African health
professionals (e.g. Stilwell et. al. 2004) are a useful starting point, they are unlikely to address the needs of other female professionals likely
to leave Africa for better opportunities elsewhere. Female professionals abroad can also play a significant role in translating migration into
development. African females in the US do earn decent average incomes, and although their remittance patterns are unknown, their economic
resources are clearly critical to the attempts of African governments to attract financial investment from their nationals abroad. Fundamental
to the development of even more appropriate policies is the need for comprehensive data sources on female migration in Africa. These new
data sources can be used to generate new insights into the causes and consequences of the female migration and make a significant
contribution to enhancing the visibility of Africa women in international migration studies.
Footnotes In short, we use the African-born population in the census as a proxy indicator for African immigrants living in the US.
The 1% sample is used because many more individual African countries of origin can be identified in this sample compared to the 5% census sample.
The most recent year of arrival available in the US 2000 census data is 1999. This is a likely reflection of the fact that the US census was officially conducted in April 2000
(US Census Bureau 2005), and data on immigrants arriving in 2000 would give an incomplete picture of immigrants arriving in that year.
Article information Can J Afr Stud. Author manuscript; available in PMC 2014 Aug 3.
Published in final edited form as:
Can J Afr Stud. 2012 Jan 1; 46(1): 87–107.
Published online 2012 Apr 25. doi: 10.1080/00083968.2012.659582
PMCID: PMC4119759
NIHMSID: NIHMS600631
PMID: 25097267
Kevin J.A. Thomas and Ikubolajeh Logan
Pennsylvania State University, State College, PA
Corresponding author. [email protected]
Copyright notice
See other articles in PMC that cite the published article.
References 1. Adepoju A. Issues and Recent Trends in International Migration in Sub-Saharan Africa. International Social Science Journal. 2000;52(165):383–
394. http://onlinelibrary.wiley.com/doi/10.1111/1468-2451.00267/pdf. [Google Scholar]
2. Adepoju A. Fostering free movement of persons in West Africa: Achievements, constraints, and prospects for intra-regional migration.
International Migration. 2002;40(2):3–28. [Google Scholar]
3. Agbajoh-Laoye GO. Lifting the yoke of tradition: New African Market-women Diasopora: From Kaneshie, Accra to Harlem, New York. In:
Konandu-Agyemang K, Takyi BK, Arthur JA, editors. The New African Diaspora in North America, Trends, Community, Building, and
Adaptation. Lexington Books; 2006. pp. 235–256. [Google Scholar]
4. Ager A, Ager W, Long L. The Differential Experience of Mozambican Refugee Women and Men. Journal of Refugee Studies 1995.
1995;8(3):265–287. http://jrs.oxfordjournals.org/content/8/3/265.full.pdf. [PubMed] [Google Scholar]
5. Alexander P. Oscillating Migrants, 'Detribalised Families' and Militancy: Mozambicans on Witbank Collieries, 1918–1927. Journal of Southern
African Studies. 2000;27(3):505–525. http://www.jstor.org/stable/823313. [Google Scholar]
6. Andall J. Cape Verdean women on the move: ‘Immigration shopping’ in Italy and Europe. Modern Italy. 1999;4(2):241–257.
http://www.informaworld.com/smpp/content~db=all~content=a792270194~frm=abslink. [Google Scholar]
7. Breugel Irene. The trailing wife: A declining breed? Careers, geographical mobility and household conflict in Britain 1970–1989. In: Crompton
Rosemary, Gallie Duncan, Purcell Kate., editors. Changing forms of employment: Organizations, skills and gender. Vol. 1996. Routledge;
London: 1996. pp. 235–258. [Google Scholar]
8. Brydon L. Ghanaian women in the migration process. In: Chant S, editor. Gender and migration in developing countries. London, England:
Belhaven Press; 1992. pp. 91–108. [Google Scholar]
1
2
3
*
9. Butcher KF. Black immigrants in the United States: A comparison with native blacks and other immigrants. Industrial and Labor Relations
Review. 1994;47(2):265–284. http://www.jstor.org/stable/2524420. [Google Scholar]
10. Castles S, Miller MJ. The Age of Migration. Guilford Press; 2003. [Google Scholar]
11. Cobb-Clark DA. Immigrant selectivity and wages: the evidence for women. American Economic Review. 1993;83:986–993.
http://www.jstor.org/stable/2117590. [Google Scholar]
12. Cohen JH, Rodriguez L, Fox M. Gender and migration in the central valleys of Oaxaca. International Migration. 2008;46(1):79–101.
http://onlinelibrary.wiley.com/doi/10.1111/j.1468-2435.2008.00437.x/pdf. [Google Scholar]
13. Cerrutti M, Massey DS. On the Auspices of Female Migration from Mexico to the United States. Demography. 2001 May;38(2):187–200.
http://www.jstor.org/stable/3088300. [PubMed] [Google Scholar]
14. Day JC, Newburger EC. The big payoff: Educational attainment and synthetic estimates of work-life earnings. Current Population Reports.
2002;2002 http://www.nyu.edu/classes/jepsen/censusJul02.pdf. [Google Scholar]
15. Dodoo F. Assimilation differences among Africans in America. Social Forces. 1997;76(2):527–546. http://www.jstor.org/stable/2580723.
[Google Scholar]
16. Donato K. Current Trends and Patterns of Female Migration: Evidence From Mexico. International Migration Review. 1993;27:748–71.
http://www.jstor.org/stable/2546911. [PubMed] [Google Scholar]
17. Donor M. Marching to the tune: Colonization, Globalization, Immigration, and the Ghanaian Diaspora. Africa Today. 2005;52(10):26–46.
http://muse.jhu.edu/journals/africa_today/v052/52.1donkor.html. [Google Scholar]
18. Eisikovits RA, Schechter H. Social and academic adaptation styles of female students who immigrated alone from the former Soviet Union to
Israel. International Migration. 2007;45(2):97–120. http://onlinelibrary.wiley.com/doi/10.1111/j.1468-2435.2007.00405.x/abstract.
[Google Scholar]
19. Feliciano C. Educational Selectivity in US immigration: How do immigrants compare to those left behind? Demography. 2005;42(1):131–152.
http://muse.jhu.edu/journals/demography/v042/42.1feliciano.html. [PubMed] [Google Scholar]
20. Fennelly K, Palasz N. English language proficiency of immigrants and refugees in the Twin-Cities metropolitan area. International Migration.
2004;41(5):93–125. http://onlinelibrary.wiley.com/doi/10.1111/j.0020-7985.2003.00262.x/pdf. [Google Scholar]
21. Findlay S. Migration and family interactions in Africa. In: Adepoju Aderanti., editor. Family, population and development in Africa. London,
England: Zed Books; 1997. pp. 109–38. [Google Scholar]
22. Gordon A. The New Diaspora: African Immigration to the United States. Journal of Third World Studies. 1998;15(1):79–103.
http://proquest.umi.com.ezaccess.libraries.psu.edu/pqdlink?
vinst=PROD&fmt=6&startpage=-1&ver=1&vname=PQD&rqt=309&did=29215829&exp=11-11-
2015&scaling=FULL&vtype=PQD&rqt=309&TS=1289591931&clientId=9874. [Google Scholar]
23. Gulger J, Ludwar-Ene G. Gender and migration in Africa South of the Sahara. In: Baker J, Aina TA, editors. The Migration Experience in Africa.
Nordiska Afrikainstitutet; 1995. pp. 257–268. [Google Scholar]
24. Hatton TJ, Williamson JG. Demographic and economic pressure on emigration out of Africa. Scandinavian Journal of Economics.
2003;105(3):465–486. http://onlinelibrary.wiley.com/doi/10.1111/1467-9442.t01-2-00008/pdf. [Google Scholar]
25. Hondagnue-Sotelo P, Cranford . Gender and Migration. In: Chafetz JS, editor. Handbook of the Sociology of gender. Springer; New York: 2006.
pp. 105–126. [Google Scholar]
26. Jua N. Differential Responses to Disappearing Transitional Pathways: Redefining Possibility among Cameroonian Youths. African Studies
Review. 2003;46(2):13–36. http://www.jstor.org/stable/1514824. [Google Scholar]
27. Kanpur R, Rapport H. Migration selectivity and the evolution of spatial inequality. Journal of Economic Geography. 2005;5(1):43–57.
http://joeg.oxfordjournals.org/content/5/1/43.abstract. [Google Scholar]
28. Kent MM. Immigration and America’s Black Population. Population Bulletin. 2007 Dec;62(4) 2007
http://www.igwg.org/pdf07/62.4immigration.pdf. [Google Scholar]
29. Khoo S, Voigt-Graf C, McDonald P, Hugo G. Temporary skilled migration to Australia: Employers’ perspectives. International Migration.
2007;45(4):175–201. http://onlinelibrary.wiley.com/doi/10.1111/j.1468-2435.2007.00423.x/abstract. [Google Scholar]
30. Kler P. Graduate overeducation and its effects among recently arrived immigrants to Australia: A longitudinal study. International Migration.
2006;44(5):93–128. http://onlinelibrary.wiley.com/doi/10.1111/j.1468-2435.2006.00388.x/abstract. [Google Scholar]
31. Kline S. Push and pull factors in international nurse migration. Journal of Nursing Scholarship. 2003;35:107–111.
http://onlinelibrary.wiley.com/doi/10.1111/j.1547-5069.2003.00107.x/abstract. [PubMed] [Google Scholar]
32. Kibreab P. Eritrean and Ethiopian Urban Refugees in Khartoum: What the Eye Refuses to See. African Studies Review. 1996 Dec;39(3):131–
178. http://www.jstor.org/stable/524946. [Google Scholar]
33. King KM, Newbold KB. Onward emigration to the United States by Canadian immigrants between 1995 and 2000. International Migration
Review. 2007;41(4):909–929. http://www.ingentaconnect.com/content/bsc/imre/2007/00000041/00000004/art00006. [Google Scholar]
34. Kofman E. Female ‘birds of passage’ a decade later: Gender and immigration to the European Union. International Migration Review.
1999;33(2):269–299. http://www.jstor.org/stable/2547698. [PubMed] [Google Scholar]
35. Kofman E. The invisibility of skilled female migrants and gender relations in studies of skilled migration to Europe. International Journal of
Population Geography. 2000;6:45–59. http://onlinelibrary.wiley.com/doi/10.1002/(SICI)1099-1220(200001/02)6:1%3C45::AID-
IJPG169%3E3.0.CO;2-B/abstract. [Google Scholar]
36. Kofman E. 'Gendered Global Migrations'. International Feminist Journal of Politics. 2004;6(4):643–665. [Google Scholar]
37. Kofman E, Raghuram P. Gender and Global Labor Migrations: Incorporating Skilled Workers. Antipode. 2006;38(2):282–303.
http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8330.2006.00580.x/abstract. [Google Scholar]
38. Konandu-Agyemang K, Takyi BK. An Overview of African Immigration to US and Canada. In: Konandu-Agyemang K, Takyi BK, Arthur JA,
editors. The New African Diaspora in North America, Trends, Community, Building, and Adaptation. Lexington Books; 2006. pp. 2–12.
[Google Scholar]
39. Logan BI. The Reverse Transfer of Technology from Sub-Saharan Africa: The Case of Zimbabwe. International Migration. 1999;37 (2):437–463.
http://onlinelibrary.wiley.com/doi/10.1111/1468-2435.00079/abstract. [PubMed] [Google Scholar]
40. Lubkemann S. The transformation of Transnationality among Mozambican migrants in South Africa. Canadian Journal of African Studies.
2000;34(1):41–63. http://www.jstor.org/stable/486105. [Google Scholar]
41. Mahler SJ, Pressar PR. Gender matters: Ethnographers bring gender from the periphery to the core of migration studies. International Migration
Review. 2006;40(1):27–63. http://onlinelibrary.wiley.com/doi/10.1111/j.1747-7379.2006.00002.x/full. [Google Scholar]
42. Malone, et al. Census 2000 Brief, December 2003. 2003. The foreign-born population of the US. [Google Scholar]
43. Martin SF. Refugee Women. Lexington Books; Lanham, MD: 2004. [Google Scholar]
44. Massey DS, et al. International Migration and Gender in Latin America: A comparative analysis. International Migration. 2006:63–91.
http://onlinelibrary.wiley.com/doi/10.1111/j.1468-2435.2006.00387.x/abstract. [PMC free article] [PubMed]
45. Massey DS, et al. Black immigrants and black natives attending selective colleges and universities in the United States. American Journal of
Education Vol. 2007;113:243–271. http://www.umich.edu/~abpafs/blackimmgrants.pdf. [Google Scholar]
46. Maundeni T. African females and adjustment to studying abroad. Gender and Education. 1999;11(1):27–42. [Google Scholar]
47. Mbaya M, Mrina P, Levin M. What the US 2000 Census tells us about the Kenyan Diaspora. Journal of Global Initiatives. 2007;2(2):130–150.
http://digitalcommons.kennesaw.edu/jgi/vol2/iss2/3/ [Google Scholar]
48. McSpadden LA, Moussa H. I have a name: The gender dynamics of asylum and resettlement among Ethiopian and Eritrean refugees in North
America. Journal of Refugee Studies. 2003;6(3):203–225. http://heinonline.org/HOL/Page?
handle=hein.journals/jrefst6&div=28&g_sent=1&collection=journals. [Google Scholar]
49. Mincer J. Family Migration Decisions. The Journal of Political Economy. 1978;86(5):749–773. http://www.jstor.org/stable/1828408.
[Google Scholar]
50. Nelson N. The women who have left and those who have stayed behind: rural-urban migration in central and Western Kenya. In: Chant S, editor.
Gender and migration in developing countries. Belhaven; New York: 1992. pp. 109–138. [Google Scholar]
51. Okome MO. African Women and Power: Labor, Gender and Feminism in the Age of Globalization. SAGE Race Relations Abstracts.
2005;30(2):3–26. [Google Scholar]
52. Osaki K. Migrant remittances in Thailand: Economic necessity or Social norm. Journal of Population Research. 2003;20(2):203–222.
[Google Scholar]
53. Osirim MJ. African Women in the New Diaspora: Transnationalism and the (Re) creation of Home. African and Asian Studies. 2008;7(4):367–
394. [Google Scholar]
54. Pang T, Lansang MA, Haines A. Brain drain and health professionals: A global problem needs global solutions. BMJ. 2002;324(7336):499–500.
[PMC free article] [PubMed] [Google Scholar]
55. Peil M. Ghanaians Abroad. African Affairs. 1995;94(376):345–367. http://afraf.oxfordjournals.org/content/94/376/345.full.pdf. [Google Scholar]
56. Peberdy S, Rogerson C. Transnationalism and non-South African entrepreneurs in South Africa’s Small, Medium, and Micro-enterprise (SMME)
economy. Canadian Journal of African Studies. 2000;34(1):20–40. http://www.jstor.org/stable/486104. [Google Scholar]
57. Pedraza S. Women and Migration: The social consequences of gender. Annual Review of Sociology. 1991;17:303–325.
http://www.annualreviews.org/doi/abs/10.1146/annurev.so.17.080191.001511. [PubMed] [Google Scholar]
58. Pressar PR, Mahler SJ. Transnational migration: bringing gender in. International Migration Review. 2003;37(3):812–846.
http://onlinelibrary.wiley.com/doi/10.1111/j.1747-7379.2003.tb00159.x/pdf. [Google Scholar]
59. Reynolds RR. Professional Nigerian Women, household economy, and immigration decisions. International Migration. 2006;44(5):167–188.
http://onlinelibrary.wiley.com/doi/10.1111/j.1468-2435.2006.00390.x/abstract. [Google Scholar]
60. Ribas-Mateos N. Female birds of passage: Leaving and Settling in Spain. In: Anthias F, Lazaridis G, editors. Gender and Migration in Southern
Europe: Women on the Move. Berg; Oxford: 2000. pp. 173–198. [Google Scholar]
61. Robinson V. Labor Market Trends. UK Statistics Authority; 2002. Sep, Migrant workers in the UK. 2002
http://www.statistics.gov.uk/articles/labour_market_trends/Migant_workers_sept2002.pdf. [Google Scholar]
62. Sassen S. Strategic Instantiations of gendering in the global economy. In: Hondagneu-Sotelo P, editor. Gender and US immigration:
Contemporary trends. University of California Press; Berkeley: 2003. pp. 43–62. [Google Scholar]
63. Stilwell B, et al. Migration of health-care workers from developing countries: strategic approaches to its management. Bulletin of the World
Health Organization. 2004;82(8):595–600. http://www.scielosp.org/scielo.php?pid=S0042-96862004000800009&script=sci_arttext&tlng=en.
[PMC free article] [PubMed] [Google Scholar]
64. Sullivan TA. The occupational prestige of women immigrants: a comparison of Cubans and Mexicans. International Migration Review.
1984;18(4):1045–62. http://www.jstor.org/stable/2546072. [PubMed] [Google Scholar]
65. Trager L. Women migrants and rural-urban linkages in South-West Nigeria. In: Baker J, Aina TA, editors. The Migration Experience in Africa.
Nordiska Afrikainstitutet; 1995. pp. 269–288. [Google Scholar]
66. Ulicki T, Crush J. Gender, Farmwork, and Women's Migration from Lesotho to the New South Africa. Canadian Journal of African Studies.
2000;34(1):64–79. http://www.jstor.org/stable/486106. [Google Scholar]
67. United States, Department of Homeland Security. 2007 Yearbook of Immigration Statistics. US Department of Homeland Security, Office of
Immigration Statistics; 2008. [Google Scholar]
68. United Nations. Trends in the Total Migrant Stock: The 2005 Revision. United Nations; 2006. POP/DB/MIG/Rev.2005. [Google Scholar]
69. UNESCO. 2009 Education for All Global Monitoring Report- Overcoming inequality: why governance matters. UNESCO publishing; Palais de
Nations: 2009. [Google Scholar]
70. Vanwey LK. Altruistic and Contractual Remittances between Male and Female Migrants and Households in Rural Thailand. Demography.
2004;41(4):739–756. http://muse.jhu.edu/journals/demography/v041/41.4vanwey.html. [PubMed] [Google Scholar]
71. Zlotnik H. The South-to-North migration of women. International Migration Review. 1995;29(1):229–254. http://www.jstor.org/stable/2547003.
[PubMed] [Google Scholar]
72. Zlotnik H. The global dimensions of female migration. Migration Information Source. 2003 Mar; 2003
http://www.migrationinformation.org/feature/display.cfm?ID=109.