Latvia vs Malaysia: Replacement-level fertility rate

Latvia
2.09
in 2010
Malaysia
2.09
in 2010
Latvia rank
125th
Malaysia rank
125th

Replacement-level fertility rate over time

  • Latvia
  • Malaysia
0123195019802010

How they compare

Latvia currently reports 2.09 against 2.09 in Malaysia, a difference of 0.

Across all 7 years both countries report, Malaysia has been ahead every year.

Latvia ranks 125th and Malaysia ranks 125th of 199 countries.

Malaysia has averaged higher in every one of the 7 decades both report.

Head to head by decade

Decade Latvia Malaysia Difference Ahead
1950s 2.36 2.55 0.19 Malaysia
1960s 2.17 2.36 0.19 Malaysia
1970s 2.13 2.24 0.11 Malaysia
1980s 2.12 2.17 0.05 Malaysia
1990s 2.11 2.12 0.01 Malaysia
2000s 2.1 2.1 0
2010s 2.09 2.09 0

Averages of every year both report within each decade.

Frequently asked questions

Which has higher replacement-level fertility rate, Latvia or Malaysia?
Latvia, at 2.09 against 2.09 in Malaysia as of 2010.
What is the difference in replacement-level fertility rate between Latvia and Malaysia?
0, with Latvia ahead.
How many years of comparable data are there for Latvia and Malaysia?
7 years are reported by both, from 1950 to 2010.
How do Latvia and Malaysia rank globally for replacement-level fertility rate?
Latvia ranks 125th and Malaysia ranks 125th of 199 countries.
Where does this data come from?
Gietel-Basten and Scherbov (2020) – processed by Our World in Data, published as Replacement-level fertility rate. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Replacement-level fertility rate
Source
Gietel-Basten and Scherbov (2020) – processed by Our World in Data
Licence
CC BY 4.0 (Our World in Data)
Coverage
199 places, 1,393 data points, 1950–2010
Last refreshed

The replacement-level fertility rate (the total fertility rate needed to keep the population size stable over time, without migration) is commonly stated to be 2.1. But the level can vary based on the sex ratio, child mortality rates, and other factors.