Availability of unemployment estimates by source
What you should know about this indicator
- This indicator shows how national and modeled unemployment rate estimates from the International Labour Organization (ILO) compare for each country. It indicates whether the ILO used the same value for national and modeled estimates, a different value, or if the data is only available in one of these datasets. This is obtained by calculating the absolute difference between the two estimates for each country and year. A difference of less than 0.1 percentage points is considered to be the same value.
- A few countries — such as Ukraine, Palestine, and Sudan in recent years — have no published modeled estimates. This usually happens when comparable national data cannot be obtained, or when the ILO considers modeled estimates unreliable, for example, during conflict or major disruption.
Related research and writing
Sources and processing
This data is based on the following sources
How we process data at Our World in Data
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.
Notes on our processing step for this indicator
We derive this indicator by calculating the absolute difference between the ILO modeled estimates and the national estimates for unemployment rate in each country and year. If the absolute difference is less than 0.1 percentage points, we consider the estimates to be the same value. If the absolute difference is 0.1 percentage points or more, we classify it as a different value. If data is only available in one of the datasets, we indicate that as well.
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Citations
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: Availability of unemployment estimates by source”. Our World in Data (2026). Data adapted from ILO Modelled Estimates, via World Bank, Labour Force Statistics, via World Bank. Retrieved from https://archive.ourworldindata.org/20260326-140118/grapher/availability-of-unemployment-estimates-by-source-ilo.html [online resource] (archived on March 26, 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:
ILO Modelled Estimates, via World Bank (2026); Labour Force Statistics, via World Bank (2026) – with major processing by Our World in DataFull citation
ILO Modelled Estimates, via World Bank (2026); Labour Force Statistics, via World Bank (2026) – with major processing by Our World in Data. “Availability of unemployment estimates by source” [dataset]. ILO Modelled Estimates, via World Bank, “World Development Indicators 125”; Labour Force Statistics, via World Bank, “World Development Indicators 125” [original data]. Retrieved April 6, 2026 from https://archive.ourworldindata.org/20260326-140118/grapher/availability-of-unemployment-estimates-by-source-ilo.html (archived on March 26, 2026).Download
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/availability-of-unemployment-estimates-by-source-ilo.csv?v=1&csvType=full&useColumnShortNames=falseMetadata URL (JSON format)
https://ourworldindata.org/grapher/availability-of-unemployment-estimates-by-source-ilo.metadata.json?v=1&csvType=full&useColumnShortNames=falseExcel / Google Sheets
=IMPORTDATA("https://ourworldindata.org/grapher/availability-of-unemployment-estimates-by-source-ilo.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/availability-of-unemployment-estimates-by-source-ilo.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/availability-of-unemployment-estimates-by-source-ilo.metadata.json?v=1&csvType=full&useColumnShortNames=false").json()R
library(jsonlite)
# Fetch the data
df <- read.csv("https://ourworldindata.org/grapher/availability-of-unemployment-estimates-by-source-ilo.csv?v=1&csvType=full&useColumnShortNames=false")
# Fetch the metadata
metadata <- fromJSON("https://ourworldindata.org/grapher/availability-of-unemployment-estimates-by-source-ilo.metadata.json?v=1&csvType=full&useColumnShortNames=false")Stata
import delimited "https://ourworldindata.org/grapher/availability-of-unemployment-estimates-by-source-ilo.csv?v=1&csvType=full&useColumnShortNames=false", encoding("utf-8") clear