Iran (Islamic Republic of) vs Lithuania: Share of people (15+) who report having an account at a bank (by)

Iran (Islamic Republic of)
95.33 %
in 2024
Lithuania
99.65 %
in 2024
Iran (Islamic Republic of) rank
1st
Lithuania rank
3rd

Share of people (15+) who report having an account at a bank (by) over time

  • Iran (Islamic Republic of)
  • Lithuania
020406080100201120172024

How they compare

Lithuania currently reports 99.65 % against 95.33 % in Iran (Islamic Republic of), a difference of 4.32 %.

The two have swapped places 1 time across 5 shared years of data; in 2011 it was Iran (Islamic Republic of) ahead.

Iran (Islamic Republic of) ranks 1st and Lithuania ranks 3rd of 7 countries.

Across the 2 decades both report, Iran (Islamic Republic of) averaged higher in 1 and Lithuania in 1.

Head to head by decade

Decade Iran (Islamic Republic of) Lithuania Difference Ahead
2010s 92.92 % 78.02 % 14.9 % Iran (Islamic Republic of)
2020s 95.09 % 98.32 % 3.23 % Lithuania

Averages of every year both report within each decade.

Frequently asked questions

Which has higher share of people (15+) who report having an account at a bank (by), Iran (Islamic Republic of) or Lithuania?
Lithuania, at 99.65 % against 95.33 % in Iran (Islamic Republic of) as of 2024.
What is the difference in share of people (15+) who report having an account at a bank (by) between Iran (Islamic Republic of) and Lithuania?
4.32 %, with Lithuania ahead.
How many years of comparable data are there for Iran (Islamic Republic of) and Lithuania?
5 years are reported by both, from 2011 to 2024.
How do Iran (Islamic Republic of) and Lithuania rank globally for share of people (15+) who report having an account at a bank (by)?
Iran (Islamic Republic of) ranks 1st and Lithuania ranks 3rd of 7 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Share of people (15+) who report having an account at a bank (by themselves or with someone else) — 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.

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Iran (Islamic Republic of) vs Lithuania: Share of people (15+) who report having an account at a bank (by). Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 September 2026, from https://economy.statizoid.com/compare/share-of-people-15-who-report-having-an-account-at-a-bank-by-themselves-or-with-someone/iran-islamic-republic-of/lithuania/

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<a href="https://economy.statizoid.com/compare/share-of-people-15-who-report-having-an-account-at-a-bank-by-themselves-or-with-someone/iran-islamic-republic-of/lithuania/">Iran (Islamic Republic of) vs Lithuania: Share of people (15+) who report having an account at a bank (by)</a> — Statizoid

About this data

Indicator
Share of people (15+) who report having an account at a bank (by themselves or with someone else) — 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
105 places, 525 data points, 2011–2024
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.