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Is antibiotic use in livestock above proposed guidelines from antimicrobial resistance researchers?

About this data

Source
Mulchandani et al. (2023) – processed by Our World in Data
Last updated
December 6, 2024
Date range
2020–2020

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Sources and processing

This data is based on the following sources

Mulchandani et al. – Global trends in antimicrobial use in food-producing animals: 2020 to 2030

Data on usage of antimicrobials in food animals were collected from 42 countries. Multivariate regression models were used in combination with projections of animal counts for cattle, sheep, chicken, and pigs from the Food and Agriculture Organization to estimate global antimicrobial usage of veterinary antimicrobials in 2020 and 2030. Maps of animal densities were used to identify geographic hotspots of antimicrobial use. In each country, estimates of antimicrobial use (tonnes) were calibrated to match continental-level reports of antimicrobial use intensity (milligrams per kilogram of animal) from the World Organization for Animal Health, as well as country-level reports of antimicrobial use from countries that made this information publicly available.

Retrieved on
December 6, 2024
Retrieved from
https://journals.plos.org/globalpublichealth/article?id=10.1371/journal.pgph.0001305
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.
Mulchandani, R., Wang, Y., Gilbert, M., & Van Boeckel, T. P. (2023). Global trends in antimicrobial use in food-producing animals: 2020 to 2030. PLOS Global Public Health, 3(2), e0001305. https://doi.org/10.1371/journal.pgph.0001305

Data on usage of antimicrobials in food animals were collected from 42 countries. Multivariate regression models were used in combination with projections of animal counts for cattle, sheep, chicken, and pigs from the Food and Agriculture Organization to estimate global antimicrobial usage of veterinary antimicrobials in 2020 and 2030. Maps of animal densities were used to identify geographic hotspots of antimicrobial use. In each country, estimates of antimicrobial use (tonnes) were calibrated to match continental-level reports of antimicrobial use intensity (milligrams per kilogram of animal) from the World Organization for Animal Health, as well as country-level reports of antimicrobial use from countries that made this information publicly available.

Retrieved on
December 6, 2024
Retrieved from
https://journals.plos.org/globalpublichealth/article?id=10.1371/journal.pgph.0001305
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.
Mulchandani, R., Wang, Y., Gilbert, M., & Van Boeckel, T. P. (2023). Global trends in antimicrobial use in food-producing animals: 2020 to 2030. PLOS Global Public Health, 3(2), e0001305. https://doi.org/10.1371/journal.pgph.0001305

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“Data Page: Is antibiotic use in livestock above proposed guidelines from antimicrobial resistance researchers?”. Our World in Data (2026). Data adapted from Mulchandani et al.. Retrieved from https://archive.ourworldindata.org/20260304-094028/grapher/is-antibiotic-use-in-livestock-above-global-guidelines.html [online resource] (archived on March 4, 2026).

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Mulchandani et al. (2023) – processed by Our World in Data

Full citation

Mulchandani et al. (2023) – processed by Our World in Data. “Is antibiotic use in livestock above proposed guidelines from antimicrobial resistance researchers?” [dataset]. Mulchandani et al., “Global trends in antimicrobial use in food-producing animals: 2020 to 2030” [original data]. Retrieved April 1, 2026 from https://archive.ourworldindata.org/20260304-094028/grapher/is-antibiotic-use-in-livestock-above-global-guidelines.html (archived on March 4, 2026).

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Excel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/is-antibiotic-use-in-livestock-above-global-guidelines.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/is-antibiotic-use-in-livestock-above-global-guidelines.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/is-antibiotic-use-in-livestock-above-global-guidelines.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()
R
library(jsonlite)

# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/is-antibiotic-use-in-livestock-above-global-guidelines.csv?v=1&csvType=full&useColumnShortNames=false")

# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/is-antibiotic-use-in-livestock-above-global-guidelines.metadata.json?v=1&csvType=full&useColumnShortNames=false")
Stata
import delimited "https://ourworldindata.org/grapher/is-antibiotic-use-in-livestock-above-global-guidelines.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear