Initial household funding per tertiary student, constant PPP$ in Lithuania
Lithuania: Initial household funding per tertiary student, constant PPP$ was 991.5 in 2017. ▲ Rising
Initial household funding per tertiary student, constant PPP$ in Lithuania, 2003–2017
Source: UNESCO Institute for Statistics.
Analysis
In 2017, initial household funding per tertiary student, constant ppp$ in Lithuania stood at 991.5.
That represents a change of down 6.0% on the previous year and up 6.8% over ten years.
Over the whole period, initial household funding per tertiary student, constant ppp$ in Lithuania peaked at 1,131 in 2013 and was at its lowest, 589.33, in 2003.
Lithuania ranks 37th of 53 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 15 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2000s | 835.63 | 589.33 | 1,019 | 7 |
| 2010s | 1,033 | 944.27 | 1,131 | 8 |
Countries ranked near Lithuania
More reference data data for Lithuania
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- Summer temperature anomalies 1.65 °C (2026)
- Temperature anomalies by month -6.34 °C (2026)
- Universal right to vote in practice 2 (2025)
- Autumn temperature anomalies 2.32 °C (2025)
- Winter temperature anomalies 2.97 °C (2025)
- Consumer price index 171.24 2010 = 100 (2025)
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- Competitive elections 1 (2025)
- Men's universal right to vote 1 (2025)
Frequently asked questions
- What is initial household funding per tertiary student, constant ppp$ in Lithuania?
- Initial household funding per tertiary student, constant ppp$ in Lithuania was 991.5 in 2017, according to UNESCO Institute for Statistics.
- What is the highest initial household funding per tertiary student, constant ppp$ recorded in Lithuania?
- The highest recorded value was 1,131 in 2013.
- What is the lowest initial household funding per tertiary student, constant ppp$ recorded in Lithuania?
- The lowest recorded value was 589.33 in 2003.
- How does Lithuania rank for initial household funding per tertiary student, constant ppp$?
- Lithuania ranks 37th out of 53 countries with data for 2017.
- Is initial household funding per tertiary student, constant ppp$ rising or falling in Lithuania?
- Over the last ten years it is up 6.8%. The long-run trend across the full record is rising.
- Where does this Lithuania data come from?
- The figures come from UNESCO Institute for Statistics, published as part of Initial household funding per tertiary student, constant PPP$. Statizoid updates them automatically from the source API.
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About this data
Total payments of households (pupils, students and their families) for educational institutions (such as for tuition fees, exam and registration fees, contribution to Parent-Teacher associations or other school funds, and fees for canteen, boarding and transport) and purchases outside of educational institutions (such as for uniforms, textbooks, teaching materials, or private classes). 'Initial funding' means that government transfers to households, such as scholarships and other financial aid for education, are subtracted from what is spent by households. Note that in some countries for some education levels, the value of this indicator may be 0, since on average households may be receiving as much, or more, in financial aid from the government than what they are spending on education. Calculation: Total payments of households (pupils, students and their families) for educational institutions (such as for tuition fees, exam and registration fees, contribution to Parent-Teacher associations or other school funds, and fees for canteen, boarding and transport), plus purchases outside of educational institutions (such as for uniforms, textbooks, teaching materials, or private classes), minus government education transfers to households (such as scholarships or other education-specific financial aid). Limitations: Indicators for household expenditure on education should be interpreted with caution since data comes from household surveys which may not all follow the same definitions and concepts. These types of surveys are also not carried out in all countries with regularity, and for some categories (such as pupils in pre-primary education), the sample sizes may be low. In some cases where data on government transfers to households (scholarships and other financial aid) was not available, they could not be subtracted from amounts paid by households. For more information, consult the UNESCO Institute of Statistics website: http://www.uis.unesco.org/Education/