Share of the labor force employed in agriculture
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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.
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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: Share of the labor force employed in agriculture”. Our World in Data (2026). Data adapted from International Labor Organization and historical sources. Retrieved from https://archive.ourworldindata.org/20260512-085513/grapher/share-of-the-labor-force-employed-in-agriculture.html [online resource] (archived on May 12, 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:
International Labor Organization and historical sources (2024) – processed by Our World in DataFull citation
International Labor Organization and historical sources (2024) – processed by Our World in Data. “Share of the labor force employed in agriculture” [dataset]. International Labor Organization and historical sources, “Shares and numbers employed by sector” [original data]. Retrieved May 13, 2026 from https://archive.ourworldindata.org/20260512-085513/grapher/share-of-the-labor-force-employed-in-agriculture.html (archived on May 12, 2026).Download
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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/share-of-the-labor-force-employed-in-agriculture.csv?v=1&csvType=full&useColumnShortNames=falseMetadata URL (JSON format)
https://ourworldindata.org/grapher/share-of-the-labor-force-employed-in-agriculture.metadata.json?v=1&csvType=full&useColumnShortNames=falseExcel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/share-of-the-labor-force-employed-in-agriculture.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/share-of-the-labor-force-employed-in-agriculture.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/share-of-the-labor-force-employed-in-agriculture.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()R
library(jsonlite)
# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/share-of-the-labor-force-employed-in-agriculture.csv?v=1&csvType=full&useColumnShortNames=false")
# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/share-of-the-labor-force-employed-in-agriculture.metadata.json?v=1&csvType=full&useColumnShortNames=false")Stata
import delimited "https://ourworldindata.org/grapher/share-of-the-labor-force-employed-in-agriculture.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear