Eswatini vs Upper-middle income countries (World Bank): Africa's Development Dynamics (AfDD) Table 30 - Environmental causes

Eswatini
123.97 Per 1 000 000 inhabitants
in 2019
Upper-middle income countries (World Bank)
299.25 Per 1 000 000 inhabitants
in 2019
Eswatini rank
9th
Upper-middle income countries (World Bank) rank
12th

Africa's Development Dynamics (AfDD) Table 30 - Environmental causes over time

  • Eswatini
  • Upper-middle income countries (World Bank)
0100200300200020092019

How they compare

Upper-middle income countries (World Bank) currently reports 299.25 Per 1 000 000 inhabitants against 123.97 Per 1 000 000 inhabitants in Eswatini, a difference of 175.28 Per 1 000 000 inhabitants.

That makes Upper-middle income countries (World Bank)'s figure about 2.4 times Eswatini's.

Across all 20 years both countries report, Upper-middle income countries (World Bank) has been ahead every year.

Eswatini ranks 9th and Upper-middle income countries (World Bank) ranks 12th of 27 countries.

Upper-middle income countries (World Bank) has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Eswatini Upper-middle income countries (World Bank) Difference Ahead
2000s 153 Per 1 000 000 inhabitants 291.79 Per 1 000 000 inhabitants 138.79 Per 1 000 000 inhabitants Upper-middle income countries (World Bank)
2010s 130.33 Per 1 000 000 inhabitants 291.22 Per 1 000 000 inhabitants 160.89 Per 1 000 000 inhabitants Upper-middle income countries (World Bank)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher africa's development dynamics (afdd) table 30 - environmental causes, Eswatini or Upper-middle income countries (World Bank)?
Upper-middle income countries (World Bank), at 299.25 Per 1 000 000 inhabitants against 123.97 Per 1 000 000 inhabitants in Eswatini as of 2019.
What is the difference in africa's development dynamics (afdd) table 30 - environmental causes between Eswatini and Upper-middle income countries (World Bank)?
175.28 Per 1 000 000 inhabitants, with Upper-middle income countries (World Bank) ahead.
How many years of comparable data are there for Eswatini and Upper-middle income countries (World Bank)?
20 years are reported by both, from 2000 to 2019.
How do Eswatini and Upper-middle income countries (World Bank) rank globally for africa's development dynamics (afdd) table 30 - environmental causes?
Eswatini ranks 9th and Upper-middle income countries (World Bank) ranks 12th of 27 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Africa's Development Dynamics (AfDD) Table 30 - Environmental causes of premature deaths — Low temperature, premature deaths. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Eswatini vs Upper-middle income countries (World Bank): Africa's Development Dynamics (AfDD) Table 30 - Environmental causes. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 09 September 2026, from https://environment.statizoid.com/compare/africa-s-development-dynamics-afdd-table-30-environmental-causes-of-premature-deaths-low/eswatini-2/upper-middle-income-countries-world-bank/

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About this data

Indicator
Africa's Development Dynamics (AfDD) Table 30 - Environmental causes of premature deaths — Low temperature, premature deaths
Unit
Per 1 000 000 inhabitants
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
243 places, 4,849 data points, 2000–2019
Last refreshed

The Statistical Annex to the annual Africa's Development Dynamics (AFDD) report is a collection of development indicators that were gathered and analysed while conducting the research that went into the report. These data are also available online for free viewing or download at https://oe.cd/AFDD-2024, a bilingual website which links to the electronic version of the Africa's Development Dynamics book in both English and French. Table 30 shows the economic costs of premature deaths caused by various environmental hazards, such as air pollution, unsafe water, and high and low temperatures.