1,104,479 (July 2020 est.)
note: estimates for this country explicitly take into account the effects of excess mortality due to AIDS; this can result in lower life expectancy, higher infant mortality, higher death rates, lower population growth rates, and changes in the distribution of population by age and sex than would otherwise be expected
country comparison to the world (CIA rank, may be based on non-current data): 160
[see also: Population country ranks ]
noun: liSwati (singular), emaSwati (plural); note - former term, Swazi(s), still used among English speakers
adjective: Swati; note - former term, Swazi, still used among English speakers
predominantly Swazi; smaller populations of other African ethnic groups, including the Zulu, as well as people of European ancestry
English (official, used for government business), siSwati (official)
Christian 90% (Zionist - a blend of Christianity and indigenous ancestral worship - 40%, Roman Catholic 20%, other 30% - includes Anglican, Methodist, Mormon, Jehovah's Witness), Muslim 2%, other 8% (includes Baha'i, Buddhist, Hindu, indigenous, Jewish) (2015 est.)
Eswatini, a small, predominantly rural, landlocked country surrounded by South Africa and Mozambique, suffers from severe poverty and the world’s highest HIV/AIDS prevalence rate. A weak and deteriorating economy, high unemployment, rapid population growth, and an uneven distribution of resources all combine to worsen already persistent poverty and food insecurity, especially in rural areas. Erratic weather (frequent droughts and intermittent heavy rains and flooding), overuse of small plots, the overgrazing of cattle, and outdated agricultural practices reduce crop yields and further degrade the environment, exacerbating Eswatini's poverty and subsistence problems. Eswatini's extremely high HIV/AIDS prevalence rate – more than 28% of adults have the disease – compounds these issues. Agricultural production has declined due to HIV/AIDS, as the illness causes households to lose manpower and to sell livestock and other assets to pay for medicine and funerals.
Swazis, mainly men from the country’s rural south, have been migrating to South Africa to work in coal, and later gold, mines since the late 19th century. Although the number of miners abroad has never been high in absolute terms because of Eswatini's small population, the outflow has had important social and economic repercussions. The peak of mining employment in South Africa occurred during the 1980s. Cross-border movement has accelerated since the 1990s, as increasing unemployment has pushed more Swazis to look for work in South Africa (creating a "brain drain" in the health and educational sectors); southern Swazi men have continued to pursue mining, although the industry has downsized. Women now make up an increasing share of migrants and dominate cross-border trading in handicrafts, using the proceeds to purchase goods back in Eswatini. Much of today’s migration, however, is not work-related but focuses on visits to family and friends, tourism, and shopping.
0-14 years: 33.63% (male 185,640/female 185,808)
[see also: Age structure - 0-14 years country ranks ]
15-24 years: 18.71% (male 98,029/female 108,654)
[see also: Age structure - 15-24 years country ranks ]
25-54 years: 39.46% (male 202,536/female 233,275)
[see also: Age structure - 25-54 years country ranks ]
55-64 years: 4.36% (male 20,529/female 27,672)
[see also: Age structure - 55-64 years country ranks ]
65 years and over: 3.83% (male 15,833/female 26,503) (2020 est.)
NOTE: 1) The information regarding Eswatini on this page is re-published from the 2020 World Fact Book of the United States Central Intelligence Agency and other sources. No claims are made regarding the accuracy of Eswatini People 2020 information contained here. All suggestions for corrections of any errors about Eswatini People 2020 should be addressed to the CIA or the source cited on each page.
2) The rank that you see is the CIA reported rank, which may have the following issues:
a) They assign increasing rank number, alphabetically for countries with the same value of the ranked item, whereas we assign them the same rank.
b) The CIA sometimes assigns counterintuitive ranks. For example, it assigns unemployment rates in increasing order, whereas we rank them in decreasing order.
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This page was last modified 27-Jan-20