Lithuania vs Upper-middle income countries (World Bank): Africa's Development Dynamics (AfDD) Table 39 - Projected youth
Africa's Development Dynamics (AfDD) Table 39 - Projected youth over time
- Lithuania
- Upper-middle income countries (World Bank)
How they compare
Lithuania currently reports 0.025 Percentage of population aged 15-29 years against 0.0087 Percentage of population aged 15-29 years in Upper-middle income countries (World Bank), a difference of 0.0163 Percentage of population aged 15-29 years.
That makes Lithuania's figure about 2.9 times Upper-middle income countries (World Bank)'s.
The two have swapped places 1 time across 31 shared years of data; in 2000 it was Upper-middle income countries (World Bank) ahead.
Lithuania ranks 38th and Upper-middle income countries (World Bank) ranks 40th of 48 countries.
Across the 5 decades both report, Lithuania averaged higher in 1 and Upper-middle income countries (World Bank) in 4.
Head to head by decade
| Decade | Lithuania | Upper-middle income countries (World Bank) | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0.9308 Percentage of population aged 15-29 years | 6.05 Percentage of population aged 15-29 years | 5.12 Percentage of population aged 15-29 years | Upper-middle income countries (World Bank) |
| 2010s | 1.44 Percentage of population aged 15-29 years | 3.76 Percentage of population aged 15-29 years | 2.32 Percentage of population aged 15-29 years | Upper-middle income countries (World Bank) |
| 2020s | 0.4993 Percentage of population aged 15-29 years | 1.07 Percentage of population aged 15-29 years | 0.5667 Percentage of population aged 15-29 years | Upper-middle income countries (World Bank) |
| 2030s | 0.173 Percentage of population aged 15-29 years | 0.2032 Percentage of population aged 15-29 years | 0.0303 Percentage of population aged 15-29 years | Upper-middle income countries (World Bank) |
| 2040s | 0.025 Percentage of population aged 15-29 years | 0.0087 Percentage of population aged 15-29 years | 0.0163 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, Lithuania or Upper-middle income countries (World Bank)?
- Lithuania, at 0.025 Percentage of population aged 15-29 years against 0.0087 Percentage of population aged 15-29 years in Upper-middle income countries (World Bank) as of 2040.
- What is the difference in africa's development dynamics (afdd) table 39 - projected youth between Lithuania and Upper-middle income countries (World Bank)?
- 0.0163 Percentage of population aged 15-29 years, with Lithuania ahead.
- How many years of comparable data are there for Lithuania and Upper-middle income countries (World Bank)?
- 31 years are reported by both, from 2000 to 2040.
- How do Lithuania and Upper-middle income countries (World Bank) rank globally for africa's development dynamics (afdd) table 39 - projected youth?
- Lithuania ranks 38th and Upper-middle income countries (World Bank) ranks 40th of 48 countries.
- 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.