Democratic Republic of the Congo vs Somalia: Share of people who used … age ranges or no breakdown by age National

Democratic Republic of the Congo
30.55 %
in 2023
Somalia
27.6 %
in 2022
Democratic Republic of the Congo rank
193rd
Somalia rank
195th

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

  • Democratic Republic of the Congo
  • Somalia
0102030200020112023

How they compare

Democratic Republic of the Congo currently reports 30.55 % against 27.6 % in Somalia, a difference of 2.95 %.

That makes Democratic Republic of the Congo's figure about 1.1 times Somalia's.

The two have swapped places 1 time across 19 shared years of data; in 2000 it was Somalia ahead.

Democratic Republic of the Congo ranks 193rd and Somalia ranks 195th of 221 countries.

Across the 3 decades both report, Democratic Republic of the Congo averaged higher in 2 and Somalia in 1.

Head to head by decade

Decade Democratic Republic of the Congo Somalia Difference Ahead
2000s 0.235 % 0.725 % 0.49 % Somalia
2010s 4.37 % 1.63 % 2.74 % Democratic Republic of the Congo
2020s 25.57 % 21.31 % 4.26 % Democratic Republic of the Congo

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, Democratic Republic of the Congo or Somalia?
Democratic Republic of the Congo, at 30.55 % against 27.6 % in Somalia as of 2023.
What is the difference in share of people who used the internet in the previous three months between Democratic Republic of the Congo and Somalia?
2.95 %, with Democratic Republic of the Congo ahead.
How many years of comparable data are there for Democratic Republic of the Congo and Somalia?
19 years are reported by both, from 2000 to 2022.
How do Democratic Republic of the Congo and Somalia rank globally for share of people who used the internet in the previous three months?
Democratic Republic of the Congo ranks 193rd and Somalia ranks 195th 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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Democratic Republic of the Congo vs Somalia: 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/democratic-republic-of-the-congo/somalia-fed-rep/

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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/democratic-republic-of-the-congo/somalia-fed-rep/">Democratic Republic of the Congo vs Somalia: 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.