Africa, small island developing states vs Lithuania: Africa's Development: Demographic estimates Population … 05

Africa, small island developing states
7,128 Persons
in 2050
Lithuania
2,188 Persons
in 2050
Africa, small island developing states rank
42nd
Lithuania rank
43rd

Africa's Development: Demographic estimates Population … 05 over time

  • Africa, small island developing states
  • Lithuania
2.0k3.0k4.0k5.0k6.0k7.0k199020202050

How they compare

Africa, small island developing states currently reports 7,128 Persons against 2,188 Persons in Lithuania, a difference of 4,940 Persons.

That makes Africa, small island developing states's figure about 3.3 times Lithuania's.

The two have swapped places 1 time across 43 shared years of data; in 1990 it was Lithuania ahead.

Africa, small island developing states ranks 42nd and Lithuania ranks 43rd of 48 regions.

Across the 7 decades both report, Africa, small island developing states averaged higher in 6 and Lithuania in 1.

Head to head by decade

Decade Africa, small island developing states Lithuania Difference Ahead
1990s 3,337 Persons 3,740 Persons 402.39 Persons Lithuania
2000s 3,944 Persons 3,394 Persons 549.41 Persons Africa, small island developing states
2010s 4,628 Persons 2,985 Persons 1,643 Persons Africa, small island developing states
2020s 5,355 Persons 2,689 Persons 2,667 Persons Africa, small island developing states
2030s 5,765 Persons 2,559 Persons 3,206 Persons Africa, small island developing states
2040s 6,490 Persons 2,361 Persons 4,129 Persons Africa, small island developing states
2050s 7,128 Persons 2,188 Persons 4,941 Persons Africa, small island developing states

Averages of every year both report within each decade.

Frequently asked questions

Which has higher africa's development dynamics (afdd) table 05 - demographic estimates, Africa, small island developing states or Lithuania?
Africa, small island developing states, at 7,128 Persons against 2,188 Persons in Lithuania as of 2050.
What is the difference in africa's development dynamics (afdd) table 05 - demographic estimates between Africa, small island developing states and Lithuania?
4,940 Persons, with Africa, small island developing states ahead.
How many years of comparable data are there for Africa, small island developing states and Lithuania?
43 years are reported by both, from 1990 to 2050.
How do Africa, small island developing states and Lithuania rank globally for africa's development dynamics (afdd) table 05 - demographic estimates?
Africa, small island developing states ranks 42nd and Lithuania ranks 43rd of 48 regions.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Africa's Development Dynamics (AfDD) Table 05 - Demographic estimates — Population. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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Africa, small island developing states vs Lithuania: Africa's Development Dynamics (AfDD) Table 05 - Demographic estimates. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 24 October 2026, from https://population.statizoid.com/compare/africa-s-development-dynamics-afdd-table-05-demographic-estimates-population/africa-small-island-developing-states/lithuania-2/

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About this data

Indicator
Africa's Development Dynamics (AfDD) Table 05 - Demographic estimates — Population
Unit
Persons
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
246 places, 10,557 data points, 1990–2050
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 5 shows figures on population, broken down by rural and urban population, as well as old-age and child-dependency ratios.