Haiti vs Micronesia (Federated States of): Share of people who used … age ranges or no breakdown by age National

Haiti
39.26 %
in 2019
Micronesia (Federated States of)
39.38 %
in 2020
Haiti rank
177th
Micronesia (Federated States of) rank
176th

Share of people who used … age ranges or no breakdown by age National over time

  • Haiti
  • Micronesia (Federated States of)
010203040200020102020

How they compare

Micronesia (Federated States of) currently reports 39.38 % against 39.26 % in Haiti, a difference of 0.12 %.

The two have swapped places 1 time across 20 shared years of data; in 2000 it was Micronesia (Federated States of) ahead.

Haiti ranks 177th and Micronesia (Federated States of) ranks 176th of 221 countries.

Micronesia (Federated States of) has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Haiti Micronesia (Federated States of) Difference Ahead
2000s 4.46 % 10.23 % 5.77 % Micronesia (Federated States of)
2010s 18.51 % 30.1 % 11.59 % Micronesia (Federated States of)

Averages of every year both report within each decade.

Frequently asked questions

Which has higher share of people who used the internet in the previous three months, Haiti or Micronesia (Federated States of)?
Micronesia (Federated States of), at 39.38 % against 39.26 % in Haiti as of 2020.
What is the difference in share of people who used the internet in the previous three months between Haiti and Micronesia (Federated States of)?
0.12 %, with Micronesia (Federated States of) ahead.
How many years of comparable data are there for Haiti and Micronesia (Federated States of)?
20 years are reported by both, from 2000 to 2019.
How do Haiti and Micronesia (Federated States of) rank globally for share of people who used the internet in the previous three months?
Haiti ranks 177th and Micronesia (Federated States of) ranks 176th of 221 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as 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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Haiti vs Micronesia (Federated States of): Share of people who used the internet in the previous three months. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 07 November 2026, from https://economy.statizoid.com/compare/share-of-people-who-used-the-internet-in-the-previous-three-months-value-all-age-ranges/haiti/micronesia-federated-states-of/

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<a href="https://economy.statizoid.com/compare/share-of-people-who-used-the-internet-in-the-previous-three-months-value-all-age-ranges/haiti/micronesia-federated-states-of/">Haiti vs Micronesia (Federated States of): Share of people who used the internet in the previous three months</a> — Statizoid

About this data

Indicator
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
222 places, 4,926 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.