ESCAP: Wb Lower Middle Income Economies (wb_lower_mid) (unsdcode:98438) vs Sierra Leone: Repeaters in primary education, all grades, female (number), gaps

ESCAP: Wb Lower Middle Income Economies (wb_lower_mid) (unsdcode:98438)
3.66 million
in 2024
Sierra Leone
37,368
in 2024
ESCAP: Wb Lower Middle Income Economies (wb_lower_mid) (unsdcode:98438) rank
48th
Sierra Leone rank
46th

Repeaters in primary education, all grades, female (number), gaps over time

  • ESCAP: Wb Lower Middle Income Economies (wb_lower_mid) (unsdcode:98438)
  • Sierra Leone
02.5M5.0M7.5M10.0M12.5M197019972024

How they compare

ESCAP: Wb Lower Middle Income Economies (wb_lower_mid) (unsdcode:98438) currently reports 3.66 million against 37,368 in Sierra Leone, a difference of 3.63 million.

That makes ESCAP: Wb Lower Middle Income Economies (wb_lower_mid) (unsdcode:98438)'s figure about 98.0 times Sierra Leone's.

Across all 19 years both countries report, ESCAP: Wb Lower Middle Income Economies (wb_lower_mid) (unsdcode:98438) has been ahead every year.

ESCAP: Wb Lower Middle Income Economies (wb_lower_mid) (unsdcode:98438) ranks 48th and Sierra Leone ranks 46th of 220 groups.

ESCAP: Wb Lower Middle Income Economies (wb_lower_mid) (unsdcode:98438) has averaged higher in every one of the 4 decades both report.

Head to head by decade

Decade ESCAP: Wb Lower Middle Income Economies (wb_lower_mid) (unsdcode:98438) Sierra Leone Difference Ahead
1970s 6.19 million 14,636 6.18 million ESCAP: Wb Lower Middle Income Economies (wb_lower_mid) (unsdcode:98438)
2000s 6.58 million 71,405 6.51 million ESCAP: Wb Lower Middle Income Economies (wb_lower_mid) (unsdcode:98438)
2010s 4.43 million 65,433 4.36 million ESCAP: Wb Lower Middle Income Economies (wb_lower_mid) (unsdcode:98438)
2020s 3.20 million 30,526 3.17 million ESCAP: Wb Lower Middle Income Economies (wb_lower_mid) (unsdcode:98438)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher repeaters in primary education, all grades, female (number), gaps, ESCAP: Wb Lower Middle Income Economies (wb_lower_mid) (unsdcode:98438) or Sierra Leone?
ESCAP: Wb Lower Middle Income Economies (wb_lower_mid) (unsdcode:98438), at 3.66 million against 37,368 in Sierra Leone as of 2024.
What is the difference in repeaters in primary education, all grades, female (number), gaps between ESCAP: Wb Lower Middle Income Economies (wb_lower_mid) (unsdcode:98438) and Sierra Leone?
3.63 million, with ESCAP: Wb Lower Middle Income Economies (wb_lower_mid) (unsdcode:98438) ahead.
How many years of comparable data are there for ESCAP: Wb Lower Middle Income Economies (wb_lower_mid) (unsdcode:98438) and Sierra Leone?
19 years are reported by both, from 1978 to 2024.
How do ESCAP: Wb Lower Middle Income Economies (wb_lower_mid) (unsdcode:98438) and Sierra Leone rank globally for repeaters in primary education, all grades, female (number), gaps?
ESCAP: Wb Lower Middle Income Economies (wb_lower_mid) (unsdcode:98438) ranks 48th and Sierra Leone ranks 46th of 220 groups.
Where does this data come from?
Statizoid (derived), published as Repeaters in primary education, all grades, female (number), gaps filled. Statizoid refreshes it automatically from the source and publishes the full history for both places.

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ESCAP: Wb Lower Middle Income Economies (wb_lower_mid) (unsdcode:98438) vs Sierra Leone: Repeaters in primary education, all grades, female (number), gaps. Statizoid, drawing on Statizoid (derived). Retrieved 11 September 2026, from https://education.statizoid.com/compare/repeaters-in-primary-education-all-grades-female-number-gaps-filled/escap-wb-lower-middle-income-economies-wb-lower-mid-unsdcode-98438/sierra-leone/

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About this data

Indicator
Repeaters in primary education, all grades, female (number), gaps filled
Source
Statizoid (derived)
Licence
Derived by Statizoid from the sources named on the page
Coverage
419 places, 16,340 data points, 1970–2025
Last refreshed

Repeaters in primary education, all grades, female (number) with 705 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.