Africa, upper-middle income countries (World Bank) vs Lithuania: Africa's Development Dynamics (AfDD) Table 39 - Projected youth
Africa's Development Dynamics (AfDD) Table 39 - Projected youth over time
- Africa, upper-middle income countries (World Bank)
- Lithuania
How they compare
Lithuania currently reports 0.025 Percentage of population aged 15-29 years against 0.0107 Percentage of population aged 15-29 years in Africa, upper-middle income countries (World Bank), a difference of 0.0143 Percentage of population aged 15-29 years.
That makes Lithuania's figure about 2.3 times Africa, upper-middle income countries (World Bank)'s.
The two have swapped places 1 time across 31 shared years of data; in 2000 it was Africa, upper-middle income countries (World Bank) ahead.
Africa, upper-middle income countries (World Bank) ranks 39th and Lithuania ranks 38th of 48 regions.
Across the 5 decades both report, Africa, upper-middle income countries (World Bank) averaged higher in 4 and Lithuania in 1.
Head to head by decade
| Decade | Africa, upper-middle income countries (World Bank) | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 9.77 Percentage of population aged 15-29 years | 0.9308 Percentage of population aged 15-29 years | 8.84 Percentage of population aged 15-29 years | Africa, upper-middle income countries (World Bank) |
| 2010s | 6.68 Percentage of population aged 15-29 years | 1.44 Percentage of population aged 15-29 years | 5.24 Percentage of population aged 15-29 years | Africa, upper-middle income countries (World Bank) |
| 2020s | 1.65 Percentage of population aged 15-29 years | 0.4993 Percentage of population aged 15-29 years | 1.15 Percentage of population aged 15-29 years | Africa, upper-middle income countries (World Bank) |
| 2030s | 0.3097 Percentage of population aged 15-29 years | 0.173 Percentage of population aged 15-29 years | 0.1367 Percentage of population aged 15-29 years | Africa, upper-middle income countries (World Bank) |
| 2040s | 0.0107 Percentage of population aged 15-29 years | 0.025 Percentage of population aged 15-29 years | 0.0144 Percentage of population aged 15-29 years | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher africa's development dynamics (afdd) table 39 - projected youth, Africa, upper-middle income countries (World Bank) or Lithuania?
- Lithuania, at 0.025 Percentage of population aged 15-29 years against 0.0107 Percentage of population aged 15-29 years in Africa, upper-middle income countries (World Bank) as of 2040.
- What is the difference in africa's development dynamics (afdd) table 39 - projected youth between Africa, upper-middle income countries (World Bank) and Lithuania?
- 0.0143 Percentage of population aged 15-29 years, with Lithuania ahead.
- How many years of comparable data are there for Africa, upper-middle income countries (World Bank) and Lithuania?
- 31 years are reported by both, from 2000 to 2040.
- How do Africa, upper-middle income countries (World Bank) and Lithuania rank globally for africa's development dynamics (afdd) table 39 - projected youth?
- Africa, upper-middle income countries (World Bank) ranks 39th and Lithuania ranks 38th of 48 regions.
- Where does this data come from?
- Organisation for Economic Co-operation and Development, published as Africa's Development Dynamics (AfDD) Table 39 - Projected youth education profiles — Population with less than primary education (accelerated scenario). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
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 38 shows the projected youth population in 2040 with different education levels, according to the medium and accelerated scenario as calculated by the Wittgenstein Centre for Demography and Global Human Capital in 2018.