Papua New Guinea vs United Arab Emirates: Prevalence of anemia among women of reproductive age (15-49 years)

Papua New Guinea
28.8 %
in 2023
United Arab Emirates
28.2 %
in 2023
Papua New Guinea rank
69th
United Arab Emirates rank
71st

Prevalence of anemia among women of reproductive age (15-49 years) over time

  • Papua New Guinea
  • United Arab Emirates
0102030200020112023

How they compare

Papua New Guinea currently reports 28.8 % against 28.2 % in United Arab Emirates, a difference of 0.6 %.

The two have swapped places 1 time across 24 shared years of data; in 2000 it was United Arab Emirates ahead.

Papua New Guinea ranks 69th and United Arab Emirates ranks 71st of 177 countries.

United Arab Emirates has averaged higher in every one of the 3 decades both report.

Head to head by decade

Decade Papua New Guinea United Arab Emirates Difference Ahead
2000s 26.12 % 28.53 % 2.41 % United Arab Emirates
2010s 25.61 % 28.17 % 2.56 % United Arab Emirates
2020s 27.8 % 28.02 % 0.225 % United Arab Emirates

Averages of every year both report within each decade.

Frequently asked questions

Which has higher prevalence of anemia among women of reproductive age (15-49 years), Papua New Guinea or United Arab Emirates?
Papua New Guinea, at 28.8 % against 28.2 % in United Arab Emirates as of 2023.
What is the difference in prevalence of anemia among women of reproductive age (15-49 years) between Papua New Guinea and United Arab Emirates?
0.6 %, with Papua New Guinea ahead.
How many years of comparable data are there for Papua New Guinea and United Arab Emirates?
24 years are reported by both, from 2000 to 2023.
How do Papua New Guinea and United Arab Emirates rank globally for prevalence of anemia among women of reproductive age (15-49 years)?
Papua New Guinea ranks 69th and United Arab Emirates ranks 71st of 177 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Prevalence of anemia among women of reproductive age (15-49 years) (percent) — Value — Female — 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

Papua New Guinea vs United Arab Emirates: Prevalence of anemia among women of reproductive age (15-49 years). Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 18 September 2026, from https://economy.statizoid.com/compare/prevalence-of-anemia-among-women-of-reproductive-age-15-49-years-percent-value-female-all/papua-new-guinea/united-arab-emirates/

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/prevalence-of-anemia-among-women-of-reproductive-age-15-49-years-percent-value-female-all/papua-new-guinea/united-arab-emirates/">Papua New Guinea vs United Arab Emirates: Prevalence of anemia among women of reproductive age (15-49 years)</a> — Statizoid

About this data

Indicator
Prevalence of anemia among women of reproductive age (15-49 years) (percent) — Value — Female — 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
234 places, 5,616 data points, 2000–2023
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.