Bangladesh vs Japan: Share of Workers not classified by status in [industry] out of total

Bangladesh
0.36 %
in 2024
Japan
0.54 %
in 2023
Bangladesh rank
16th
Japan rank
13th

Share of Workers not classified by status in [industry] out of total over time

  • Bangladesh
  • Japan
00.20.40.60.8200020122024

How they compare

Japan currently reports 0.54 % against 0.36 % in Bangladesh, a difference of 0.18 %.

That makes Japan's figure about 1.5 times Bangladesh's.

The two have swapped places 2 times across 5 shared years of data; in 2006 it was Bangladesh ahead.

Bangladesh ranks 16th and Japan ranks 13th of 34 countries.

Across the 3 decades both report, Bangladesh averaged higher in 2 and Japan in 1.

Head to head by decade

Decade Bangladesh Japan Difference Ahead
2000s 0.64 % 0.53 % 0.11 % Bangladesh
2010s 0.42 % 0.51 % 0.09 % Japan
2020s 0.785 % 0.55 % 0.235 % Bangladesh

Averages of every year both report within each decade.

Frequently asked questions

Which has higher share of workers not classified by status in [industry] out of total, Bangladesh or Japan?
Japan, at 0.54 % against 0.36 % in Bangladesh as of 2023.
What is the difference in share of workers not classified by status in [industry] out of total between Bangladesh and Japan?
0.18 %, with Japan ahead.
How many years of comparable data are there for Bangladesh and Japan?
5 years are reported by both, from 2006 to 2023.
How do Bangladesh and Japan rank globally for share of workers not classified by status in [industry] out of total?
Bangladesh ranks 16th and Japan ranks 13th of 34 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Share of Workers not classified by status in [industry] out of total employment in [industry] by [sex]: Total employment — Value — Male — All age ranges or no breakdown by age — National. 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

Bangladesh vs Japan: Share of Workers not classified by status in [industry] out of total. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 September 2026, from https://economy.statizoid.com/compare/share-of-workers-not-classified-by-status-in-industry-out-of-total-employment-in-industry-3/bangladesh/japan/

Embed or link this data

Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY-NC-SA 3.0 IGO (FAO); please keep the attribution.

<a href="https://economy.statizoid.com/compare/share-of-workers-not-classified-by-status-in-industry-out-of-total-employment-in-industry-3/bangladesh/japan/">Bangladesh vs Japan: Share of Workers not classified by status in [industry] out of total</a> — Statizoid

About this data

Indicator
Share of Workers not classified by status in [industry] out of total employment in [industry] by [sex]: Total employment — Value — Male — All age ranges or no breakdown by age — National
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
38 places, 395 data points, 2000–2025
Last refreshed

The Suite of Gender Indicators presents a set of indicators relevant to agrifood systems that are disaggregated by sex, with the aim of highlighting gender differences across agrifood systems. The initial set of indicators is based on those used in FAO’s 2023 Status of Women in Agrifood Systems (SWAFS) report and on the recommendations of an expert consultation held in December 2023, and covers key dimensions including economic participation, governance, agency, social norms, assets and services, education, health, and nutrition. Indicator selection was informed by expert judgment and by the availability of data with sufficient geographic and temporal coverage to enable meaningful comparisons across regions and over time. While most indicators are produced and published by FAO and other international organizations, the objective of this domain is to provide a one-stop shop for sex-disaggregated data on agrifood systems.