How many years of comparable data are there for Namibia and Philippines?

5 years are reported by both, from 2012 to 2018.

Where does this data come from?

Food and Agriculture Organization of the United Nations, published as Gender gap in earnings of employees in rural areas — Value — All age ranges or no breakdown by age — National. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Namibia vs Philippines: Gender gap in earnings of employees in rural areas — Value — All age

Namibia

-0.59 %

in 2018

Philippines

-0.18 %

in 2023

Namibia rank

34th

Philippines rank

31st

Gender gap in earnings of employees in rural areas — Value — All age over time

Namibia
Philippines

How they compare

Philippines currently reports -0.18 % against -0.59 % in Namibia, a difference of 0.41 %.

The two have swapped places 1 time across 5 shared years of data; in 2012 it was Namibia ahead.

Namibia ranks 34th and Philippines ranks 31st of 34 countries.

Namibia has averaged higher in every one of the 1 decades both report.

Frequently asked questions

Which has higher gender gap in earnings of employees in rural areas — value — all age, Namibia or Philippines?: Philippines, at -0.18 % against -0.59 % in Namibia as of 2023.
What is the difference in gender gap in earnings of employees in rural areas — value — all age between Namibia and Philippines?: 0.41 %, with Philippines ahead.
How many years of comparable data are there for Namibia and Philippines?: 5 years are reported by both, from 2012 to 2018.
How do Namibia and Philippines rank globally for gender gap in earnings of employees in rural areas — value — all age?: Namibia ranks 34th and Philippines ranks 31st of 34 countries.
Where does this data come from?: Food and Agriculture Organization of the United Nations, published as Gender gap in earnings of employees in rural areas — Value — 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

Namibia vs Philippines: Gender gap in earnings of employees in rural areas — Value — All age. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 16 September 2026, from https://economy.statizoid.com/compare/gender-gap-in-earnings-of-employees-in-rural-areas-value-all-age-ranges-or-no-breakdown/namibia/philippines/

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/gender-gap-in-earnings-of-employees-in-rural-areas-value-all-age-ranges-or-no-breakdown/namibia/philippines/">Namibia vs Philippines: Gender gap in earnings of employees in rural areas — Value — All age</a> — Statizoid

About this data

Indicator: Gender gap in earnings of employees in rural areas — Value — 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: 41 places, 511 data points, 2000–2024
Last refreshed: 13 August 2026

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.