Indonesia vs Russian Federation: Unemployed population — Unemployment

Indonesia
7,430 Persons
in 2012
Russian Federation
3,626 Persons
in 2021
Indonesia rank
2nd
Russian Federation rank
4th

Unemployed population — Unemployment over time

  • Indonesia
  • Russian Federation
02.5k5.0k7.5k10.0k12.5k197619982021

How they compare

Indonesia currently reports 7,430 Persons against 3,626 Persons in Russian Federation, a difference of 3,804 Persons.

That makes Indonesia's figure about 2.0 times Russian Federation's.

The two have swapped places 1 time across 20 shared years of data; in 1992 it was Russian Federation ahead.

Indonesia ranks 2nd and Russian Federation ranks 4th of 35 countries.

Across the 3 decades both report, Indonesia averaged higher in 2 and Russian Federation in 1.

Head to head by decade

Decade Indonesia Russian Federation Difference Ahead
1990s 3,939 Persons 6,728 Persons 2,788 Persons Russian Federation
2000s 9,486 Persons 5,781 Persons 3,704 Persons Indonesia
2010s 7,932 Persons 4,896 Persons 3,035 Persons Indonesia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher unemployed population — unemployment, Indonesia or Russian Federation?
Indonesia, at 7,430 Persons against 3,626 Persons in Russian Federation as of 2012.
What is the difference in unemployed population — unemployment between Indonesia and Russian Federation?
3,804 Persons, with Indonesia ahead.
How many years of comparable data are there for Indonesia and Russian Federation?
20 years are reported by both, from 1992 to 2012.
How do Indonesia and Russian Federation rank globally for unemployed population — unemployment?
Indonesia ranks 2nd and Russian Federation ranks 4th of 35 countries.
Where does this data come from?
Organisation for Economic Co-operation and Development, published as Unemployed population — Unemployment. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

Share, cite or embed this page

Cite this page

Indonesia vs Russian Federation: Unemployed population — Unemployment. Statizoid, drawing on Organisation for Economic Co-operation and Development. Retrieved 25 August 2026, from https://labour.statizoid.com/compare/unemployed-population-unemployment/indonesia/russian-federation/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under OECD Terms and Conditions (attribution required); please keep the attribution.

<a href="https://labour.statizoid.com/compare/unemployed-population-unemployment/indonesia/russian-federation/">Indonesia vs Russian Federation: Unemployed population — Unemployment</a> — Statizoid

About this data

Indicator
Unemployed population — Unemployment
Unit
Persons
Source
Organisation for Economic Co-operation and Development
Licence
OECD Terms and Conditions (attribution required)
Coverage
48 places, 2,160 data points, 1955–2025
Last refreshed

The infra-annual dataflow on the unemployed population is a subset of the infra-annual labour statistics database, which contains predominantly monthly and quarterly statistics on the unemployed population by age groups (15+, 15-24, 25-54, 55-64, 15-64 and 15-74 where available) and sex and associated statistical methodological information and associated statistical methodological information, for the OECD member countries and for selected other economies. Chile, Costa Rica, and the United Kingdom publish Labour Force Survey (LFS) data using a rolling quarter methodology. The OECD treats the middle month of the rolling quarter as the reference month. As a result, the publication of monthly LFS data for these countries may be delayed by one month or more relative to the OECD reference month. The unemployed are persons in their working age who, in the reference period, do not have a job; are available for work; and, have taken specific steps to find a job. The infra-annual labour statistics compiled for all OECD member countries, are drawn from Labour Force Surveys based on definition provided by the 19th Conference of Labour Statisticians in 2013. The uniform application of these definitions across all OECD member countries results in estimates that are internationally comparable.