ESCAP: Countries With Special Needs (csn) (unsdcode:98434) vs Lithuania: Teachers in primary education, both sexes (number), gaps filled

ESCAP: Countries With Special Needs (csn) (unsdcode:98434)
1.65 million
in 2020
Lithuania
8,888
in 2024
ESCAP: Countries With Special Needs (csn) (unsdcode:98434) rank
144th
Lithuania rank
143rd

Teachers in primary education, both sexes (number), gaps filled over time

  • ESCAP: Countries With Special Needs (csn) (unsdcode:98434)
  • Lithuania
0500.0k1.0M1.5M197019972024

How they compare

ESCAP: Countries With Special Needs (csn) (unsdcode:98434) currently reports 1.65 million against 8,888 in Lithuania, a difference of 1.64 million.

That makes ESCAP: Countries With Special Needs (csn) (unsdcode:98434)'s figure about 185.8 times Lithuania's.

Across all 36 years both countries report, ESCAP: Countries With Special Needs (csn) (unsdcode:98434) has been ahead every year.

ESCAP: Countries With Special Needs (csn) (unsdcode:98434) ranks 144th and Lithuania ranks 143rd of 221 groups.

ESCAP: Countries With Special Needs (csn) (unsdcode:98434) has averaged higher in every one of the 5 decades both report.

Head to head by decade

Decade ESCAP: Countries With Special Needs (csn) (unsdcode:98434) Lithuania Difference Ahead
1980s 649,651 7,840 641,811 ESCAP: Countries With Special Needs (csn) (unsdcode:98434)
1990s 839,469 12,816 826,654 ESCAP: Countries With Special Needs (csn) (unsdcode:98434)
2000s 1.10 million 11,565 1.09 million ESCAP: Countries With Special Needs (csn) (unsdcode:98434)
2010s 1.49 million 8,705 1.48 million ESCAP: Countries With Special Needs (csn) (unsdcode:98434)
2020s 1.65 million 8,547 1.64 million ESCAP: Countries With Special Needs (csn) (unsdcode:98434)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher teachers in primary education, both sexes (number), gaps filled, ESCAP: Countries With Special Needs (csn) (unsdcode:98434) or Lithuania?
ESCAP: Countries With Special Needs (csn) (unsdcode:98434), at 1.65 million against 8,888 in Lithuania as of 2020.
What is the difference in teachers in primary education, both sexes (number), gaps filled between ESCAP: Countries With Special Needs (csn) (unsdcode:98434) and Lithuania?
1.64 million, with ESCAP: Countries With Special Needs (csn) (unsdcode:98434) ahead.
How many years of comparable data are there for ESCAP: Countries With Special Needs (csn) (unsdcode:98434) and Lithuania?
36 years are reported by both, from 1981 to 2020.
How do ESCAP: Countries With Special Needs (csn) (unsdcode:98434) and Lithuania rank globally for teachers in primary education, both sexes (number), gaps filled?
ESCAP: Countries With Special Needs (csn) (unsdcode:98434) ranks 144th and Lithuania ranks 143rd of 221 groups.
Where does this data come from?
Statizoid (derived), published as Teachers in primary education, both sexes (number), gaps filled. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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ESCAP: Countries With Special Needs (csn) (unsdcode:98434) vs Lithuania: Teachers in primary education, both sexes (number), gaps filled. Statizoid, drawing on Statizoid (derived). Retrieved 31 August 2026, from https://education.statizoid.com/compare/teachers-in-primary-education-both-sexes-number-gaps-filled/escap-countries-with-special-needs-csn-unsdcode-98434/lithuania/

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<a href="https://education.statizoid.com/compare/teachers-in-primary-education-both-sexes-number-gaps-filled/escap-countries-with-special-needs-csn-unsdcode-98434/lithuania/">ESCAP: Countries With Special Needs (csn) (unsdcode:98434) vs Lithuania: Teachers in primary education, both sexes (number), gaps filled</a> — Statizoid

About this data

Indicator
Teachers in primary education, both sexes (number), gaps filled
Source
Statizoid (derived)
Licence
Derived by Statizoid from the sources named on the page
Coverage
437 places, 19,704 data points, 1970–2025
Last refreshed

Teachers in primary education, both sexes (number) with 786 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.