How many years of comparable data are there for Honduras and Lithuania?

6 years are reported by both, from 2008 to 2019.

Where does this data come from?

Food and Agriculture Organization of the United Nations, published as Gender gap in the share of people who used the internet in the previous three months — 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.

Honduras vs Lithuania: Gender gap in the share of people who used the internet in the

Honduras

-2.74 %

in 2019

Lithuania

-4.57 %

in 2023

Honduras rank

77th

Lithuania rank

80th

Gender gap in the share of people who used the internet in the over time

Honduras
Lithuania

How they compare

Honduras currently reports -2.74 % against -4.57 % in Lithuania, a difference of 1.83 %.

Across all 6 years both countries report, Lithuania has been ahead every year.

Honduras ranks 77th and Lithuania ranks 80th of 81 countries.

Lithuania has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade	Honduras	Lithuania	Difference	Ahead
2000s	-0.42 %	2.46 %	2.88 %	Lithuania
2010s	-2.3 %	-0.842 %	1.46 %	Lithuania

Averages of every year both report within each decade.

Frequently asked questions

Which has higher gender gap in the share of people who used the internet in the, Honduras or Lithuania?: Honduras, at -2.74 % against -4.57 % in Lithuania as of 2019.
What is the difference in gender gap in the share of people who used the internet in the between Honduras and Lithuania?: 1.83 %, with Honduras ahead.
How many years of comparable data are there for Honduras and Lithuania?: 6 years are reported by both, from 2008 to 2019.
How do Honduras and Lithuania rank globally for gender gap in the share of people who used the internet in the?: Honduras ranks 77th and Lithuania ranks 80th of 81 countries.
Where does this data come from?: Food and Agriculture Organization of the United Nations, published as Gender gap in the share of people who used the internet in the previous three months — 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.

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Honduras vs Lithuania: Gender gap in the share of people who used the internet in the. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 17 September 2026, from https://economy.statizoid.com/compare/gender-gap-in-the-share-of-people-who-used-the-internet-in-the-previous-three-months/honduras/lithuania/

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<a href="https://economy.statizoid.com/compare/gender-gap-in-the-share-of-people-who-used-the-internet-in-the-previous-three-months/honduras/lithuania/">Honduras vs Lithuania: Gender gap in the share of people who used the internet in the</a> — Statizoid

About this data

Indicator: Gender gap in the share of people who used the internet in the previous three months — 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: 87 places, 1,256 data points, 2002–2024
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.