Nepal vs Peru: Age population, age 03, male, interpolated

Nepal
278,739
in 2025
Peru
273,303
in 2025
Nepal rank
49th
Peru rank
50th

Age population, age 03, male, interpolated over time

  • Nepal
  • Peru
0100.0k200.0k300.0k400.0k196019922025

How they compare

Nepal currently reports 278,739 against 273,303 in Peru, a difference of 5,436.

The two have swapped places 1 time across 66 shared years of data; in 1960 it was Peru ahead.

Nepal ranks 49th and Peru ranks 50th of 215 countries.

Across the 7 decades both report, Nepal averaged higher in 4 and Peru in 3.

Head to head by decade

Decade Nepal Peru Difference Ahead
1960s 165,695 197,134 31,439 Peru
1970s 210,090 248,798 38,708 Peru
1980s 268,868 289,689 20,821 Peru
1990s 342,430 319,517 22,913 Nepal
2000s 348,216 305,138 43,079 Nepal
2010s 302,845 286,556 16,289 Nepal
2020s 286,833 274,609 12,224 Nepal

Averages of every year both report within each decade.

Frequently asked questions

Which has higher age population, age 03, male, interpolated, Nepal or Peru?
Nepal, at 278,739 against 273,303 in Peru as of 2025.
What is the difference in age population, age 03, male, interpolated between Nepal and Peru?
5,436, with Nepal ahead.
How many years of comparable data are there for Nepal and Peru?
66 years are reported by both, from 1960 to 2025.
How do Nepal and Peru rank globally for age population, age 03, male, interpolated?
Nepal ranks 49th and Peru ranks 50th of 215 countries.
Where does this data come from?
United Nations Population Division. World Population Prospects, published as Age population, age 03, male, interpolated. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Age population, age 03, male, interpolated
Source
United Nations Population Division. World Population Prospects
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
217 places, 14,322 data points, 1960–2025
Last refreshed

Age population, male refers to male population at the specified age level. The geographical areas included in the data are the same as the data source.