Data

Daily cost of a nutrient adequate diet

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What you should know about this indicator

  • A nutrient adequate diet meets all essential nutrient requirements, with sufficient diversity and quantity of locally available foods to stay within the upper and lower bounds for total protein, fats, and carbohydrates as well as essential vitamins and minerals required to avoid nutrient deficiencies or toxicity.
  • The data is measured in international-$ at 2021 prices - this adjusts for inflation and for differences in the cost of living between countries.
Daily cost of a nutrient adequate diet
Cost of the least expensive locally-available foods for nutrient adequacy for a representative person within upper and lower bounds for 23 essential macro- and micronutrients plus energy balance at 2,330 kcal/day. This data is adjusted for inflation and for differences in the cost of living between countries.
Source
Herforth et al. (2022), adapted by World Bank (2025)with minor processing by Our World in Data
Last updated
August 4, 2025
Next expected update
August 2026
Date range
2021–2021
Unit
international-$ in 2021 prices per person per day

Sources and processing

Herforth et al. (2022), adapted by World Bank – Food Prices for Nutrition

Food Prices for Nutrition provides indicators on the cost and affordability of healthy diets in each country, showing the population's physical and economic access to sufficient quantities of locally available items for an active and healthy life. It also provides indicators on the cost and affordability of an energy-sufficient diet and of a nutrient-adequate diet. These indicators are explained in detail in the Food Prices for Nutrition DataHub.

Retrieved on
August 4, 2025
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.

Food Prices for Nutrition provides indicators on the cost and affordability of healthy diets in each country, showing the population's physical and economic access to sufficient quantities of locally available items for an active and healthy life. It also provides indicators on the cost and affordability of an energy-sufficient diet and of a nutrient-adequate diet. These indicators are explained in detail in the Food Prices for Nutrition DataHub.

Retrieved on
August 4, 2025
Citation
This is the citation of the original data obtained from the source, prior to any processing or adaptation by Our World in Data. To cite data downloaded from this page, please use the suggested citation given in Reuse This Work below.

All data and visualizations on Our World in Data rely on data sourced from one or several original data providers. Preparing this original data involves several processing steps. Depending on the data, this can include standardizing country names and world region definitions, converting units, calculating derived indicators such as per capita measures, as well as adding or adapting metadata such as the name or the description given to an indicator.

At the link below you can find a detailed description of the structure of our data pipeline, including links to all the code used to prepare data across Our World in Data.

Read about our data pipeline

How to cite this page

To cite this page overall, including any descriptions, FAQs or explanations of the data authored by Our World in Data, please use the following citation:

“Data Page: Daily cost of a nutrient adequate diet”, part of the following publication: Hannah Ritchie, Pablo Rosado, and Max Roser (2023) - “Food Prices”. Data adapted from Herforth et al. (2022), adapted by World Bank. Retrieved from https://archive.ourworldindata.org/20260304-094028/grapher/cost-nutritionally-adequate-diet.html [online resource] (archived on March 4, 2026).

How to cite this data

In-line citationIf you have limited space (e.g. in data visualizations), you can use this abbreviated in-line citation:

Herforth et al. (2022), adapted by World Bank (2025) – with minor processing by Our World in Data

Full citation

Herforth et al. (2022), adapted by World Bank (2025) – with minor processing by Our World in Data. “Daily cost of a nutrient adequate diet” [dataset]. Herforth et al. (2022), adapted by World Bank, “Food Prices for Nutrition 4.0” [original data]. Retrieved April 9, 2026 from https://archive.ourworldindata.org/20260304-094028/grapher/cost-nutritionally-adequate-diet.html (archived on March 4, 2026).

Quick download

Download the data shown in this chart as a ZIP file containing a CSV file, metadata in JSON format, and a README. The CSV file can be opened in Excel, Google Sheets, and other data analysis tools.

Data API

Use these URLs to programmatically access this chart's data and configure your requests with the options below. Our documentation provides more information on how to use the API, and you can find a few code examples below.

Data URL (CSV format)
https://ourworldindata.org/grapher/cost-nutritionally-adequate-diet.csv?v=1&csvType=full&useColumnShortNames=false
Metadata URL (JSON format)
https://ourworldindata.org/grapher/cost-nutritionally-adequate-diet.metadata.json?v=1&csvType=full&useColumnShortNames=false

Code examples

Examples of how to load this data into different data analysis tools.

Excel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/cost-nutritionally-adequate-diet.csv?v=1&csvType=full&useColumnShortNames=false")
Python with Pandas
import pandas as pd
import requests

# Fetch the data.
df = pd.read_csv("https://ourworldindata.org/grapher/cost-nutritionally-adequate-diet.csv?v=1&csvType=full&useColumnShortNames=false", storage_options = {'User-Agent': 'Our World In Data data fetch/1.0'})

# Fetch the metadata
metadata = requests.get("https://ourworldindata.org/grapher/cost-nutritionally-adequate-diet.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/cost-nutritionally-adequate-diet.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/cost-nutritionally-adequate-diet.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/cost-nutritionally-adequate-diet.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear