diff --git a/dag/animal_welfare.yml b/dag/animal_welfare.yml
new file mode 100644
index 00000000000..1927810e370
--- /dev/null
+++ b/dag/animal_welfare.yml
@@ -0,0 +1,10 @@
+steps:
+  #
+  # Global hen inventory (Welfare Footprint Project, 2023).
+  #
+  data://meadow/animal_welfare/2023-08-01/global_hen_inventory:
+    - snapshot://animal_welfare/2023-08-01/global_hen_inventory.csv
+  data://garden/animal_welfare/2023-08-01/global_hen_inventory:
+    - data://meadow/animal_welfare/2023-08-01/global_hen_inventory
+  data://grapher/animal_welfare/2023-08-01/global_hen_inventory:
+    - data://garden/animal_welfare/2023-08-01/global_hen_inventory
diff --git a/dag/main.yml b/dag/main.yml
index 81f9d038ec2..441e6d460d8 100644
--- a/dag/main.yml
+++ b/dag/main.yml
@@ -562,3 +562,4 @@ include:
   - dag/space.yml
   - dag/artificial_intelligence.yml
   - dag/covid.yml
+  - dag/animal_welfare.yml
diff --git a/etl/steps/data/garden/animal_welfare/2023-08-01/global_hen_inventory.countries.json b/etl/steps/data/garden/animal_welfare/2023-08-01/global_hen_inventory.countries.json
new file mode 100644
index 00000000000..595ce477377
--- /dev/null
+++ b/etl/steps/data/garden/animal_welfare/2023-08-01/global_hen_inventory.countries.json
@@ -0,0 +1,82 @@
+{
+  "Algeria": "Algeria",
+  "Argentina": "Argentina",
+  "Armenia": "Armenia",
+  "Australia": "Australia",
+  "Austria": "Austria",
+  "Azerbaijan": "Azerbaijan",
+  "Bangladesh": "Bangladesh",
+  "Belarus": "Belarus",
+  "Belgium": "Belgium",
+  "Brazil": "Brazil",
+  "Brunei": "Brunei",
+  "Bulgaria": "Bulgaria",
+  "Canada": "Canada",
+  "Chile": "Chile",
+  "China": "China",
+  "Colombia": "Colombia",
+  "Croatia": "Croatia",
+  "Cuba": "Cuba",
+  "Cyprus": "Cyprus",
+  "Czech Republic": "Czechia",
+  "Denmark": "Denmark",
+  "Ecuador": "Ecuador",
+  "Egypt": "Egypt",
+  "Estonia": "Estonia",
+  "Finland": "Finland",
+  "France": "France",
+  "Georgia": "Georgia",
+  "Germany": "Germany",
+  "Ghana": "Ghana",
+  "Hungary": "Hungary",
+  "India": "India",
+  "Indonesia": "Indonesia",
+  "Iran": "Iran",
+  "Ireland": "Ireland",
+  "Italy": "Italy",
+  "Japan": "Japan",
+  "Kazakhstan": "Kazakhstan",
+  "Latvia": "Latvia",
+  "Libya": "Libya",
+  "Lithuania": "Lithuania",
+  "Luxembourg": "Luxembourg",
+  "Malaysia": "Malaysia",
+  "Malta": "Malta",
+  "Mexico": "Mexico",
+  "Netherlands": "Netherlands",
+  "New Zealand": "New Zealand",
+  "Nigeria": "Nigeria",
+  "Norway": "Norway",
+  "Pakistan": "Pakistan",
+  "Papua New Guinea": "Papua New Guinea",
+  "Peru": "Peru",
+  "Poland": "Poland",
+  "Portugal": "Portugal",
+  "Republic of Korea": "South Korea",
+  "Romania": "Romania",
+  "Russia": "Russia",
+  "Saudi Arabia": "Saudi Arabia",
+  "Singapore": "Singapore",
+  "Slovakia": "Slovakia",
+  "Slovenia": "Slovenia",
+  "South Africa": "South Africa",
+  "Spain": "Spain",
+  "Sweden": "Sweden",
+  "Switzerland": "Switzerland",
+  "Taiwan": "Taiwan",
+  "Thailand": "Thailand",
+  "Turkey": "Turkey",
+  "Turkmenistan": "Turkmenistan",
+  "Ukraine": "Ukraine",
+  "United Arab Emirates": "United Arab Emirates",
+  "United Kingdom": "United Kingdom",
+  "United States": "United States",
+  "Uruguay": "Uruguay",
+  "Uzbekistan": "Uzbekistan",
+  "Venezuela": "Venezuela",
+  "Vietnam": "Vietnam",
+  "Kyrgystan": "Kyrgyzstan",
+  "Morrocco": "Morocco",
+  "Philipines": "Philippines",
+  "Taijikistan": "Tajikistan"
+}
\ No newline at end of file
diff --git a/etl/steps/data/garden/animal_welfare/2023-08-01/global_hen_inventory.meta.yml b/etl/steps/data/garden/animal_welfare/2023-08-01/global_hen_inventory.meta.yml
new file mode 100644
index 00000000000..a6b91006d7f
--- /dev/null
+++ b/etl/steps/data/garden/animal_welfare/2023-08-01/global_hen_inventory.meta.yml
@@ -0,0 +1,47 @@
+dataset:
+  title: Global hen inventory (Welfare Footprint Project, 2022)
+
+tables:
+  global_hen_inventory:
+    title: Global hen inventory
+    variables:
+      share_of_hens_in_barns:
+        title: Share of hens housed in a barn or aviary
+        unit: '%'
+        short_unit: "%"
+      share_of_brown_hens:
+        title: Share of all hens that are brown
+        unit: '%'
+        short_unit: '%'
+      share_of_hens_in_cages:
+        title: Share of hens in cages
+        unit: '%'
+        short_unit: '%'
+      number_of_hens_cage_free:
+        title: Number of cage-free hens
+        unit: 'hens'
+        short_unit: ''
+      number_of_hens_in_cages:
+        title: Number of hens in cages
+        unit: 'hens'
+        short_unit: ''
+      number_of_commercial_egg_farms:
+        title: Number of commercial egg farms
+        unit: 'farms'
+        short_unit: ''
+      share_of_hens_free_range_not_organic:
+        title: Share of non-organic, free-range hens
+        unit: '%'
+        short_unit: '%'
+      share_of_hens_free_range_organic:
+        title: Share of organic, free-range hens
+        unit: '%'
+        short_unit: '%'
+      number_of_laying_hens:
+        title: Number of laying hens
+        unit: 'hens'
+        short_unit: ''
+      share_of_hens_in_unknown_housing:
+        title: Share of laying hens in unknown housing
+        unit: '%'
+        short_unit: '%'
diff --git a/etl/steps/data/garden/animal_welfare/2023-08-01/global_hen_inventory.py b/etl/steps/data/garden/animal_welfare/2023-08-01/global_hen_inventory.py
new file mode 100644
index 00000000000..0e4f7b191b1
--- /dev/null
+++ b/etl/steps/data/garden/animal_welfare/2023-08-01/global_hen_inventory.py
@@ -0,0 +1,131 @@
+"""Load a meadow dataset and create a garden dataset."""
+
+from owid.catalog import Dataset, Table
+
+from etl.data_helpers import geo
+from etl.helpers import PathFinder, create_dataset
+
+# Get paths and naming conventions for current step.
+paths = PathFinder(__file__)
+
+# Columns to select from data, and how to rename them.
+COLUMNS = {
+    "country": "country",
+    "year": "year",
+    "barn": "share_of_hens_in_barns",
+    "brown__pct": "share_of_brown_hens",
+    "cage": "share_of_hens_in_cages",
+    "cage_free": "number_of_hens_cage_free",
+    "cages": "number_of_hens_in_cages",
+    "commercial_egg_farms": "number_of_commercial_egg_farms",
+    "free_range": "share_of_hens_free_range_not_organic",
+    "organic": "share_of_hens_free_range_organic",
+    "total_layers": "number_of_laying_hens",
+    "unknown": "share_of_hens_in_unknown_housing",
+    # The following columns will be used to extract sources and urls and add them to the source metadata description.
+    # Afterwards, they will be removed.
+    "available_at": "available_at",
+    "source": "source",
+    # "click_placements" : "click_placements",
+    # "number_of_records": "number_of_records",
+}
+
+
+def add_individual_sources_to_metadata(tb: Table) -> Table:
+    tb = tb.copy()
+    # Check that each country has only one source.
+    assert (tb.groupby("country").agg({"source": "nunique"})["source"] == 1).all(), "Expected one source per country."
+    # Gather the data source for each country.
+    original_sources = (
+        "- "
+        + tb["country"].astype(str)
+        + ": "
+        + tb["source"].astype(str)
+        + " Available at "
+        + tb["available_at"].astype(str)
+    )
+    # Check that each variable has only one source.
+    assert all(
+        [len(tb[column].metadata.sources) == 1 for column in tb.columns if column not in ["country", "year"]]
+    ), "Expected only one source. Something has changed."
+    # Take the source from any of those variables.
+    source = tb[tb.columns[-1]].metadata.sources[0]
+    # Add the full list of original sources to the variable source.
+    source.published_by = source.published_by + "\n" + "\n".join(original_sources)
+    # Replace the source of each variable with the new one that has the full list of original sources.
+    for column in tb.columns:
+        tb[column].metadata.sources = [source]
+
+    return tb
+
+
+def clean_values(tb: Table) -> Table:
+    tb = tb.copy()
+    # Remove the spurious "%" symbols from some of the values in some columns.
+    for column in tb.columns:
+        if tb[column].astype(str).str.contains("%").any():
+            tb[column] = tb[column].str.replace("%", "").astype(float)
+
+    return tb
+
+
+def run_sanity_checks_on_outputs(tb: Table) -> None:
+    assert all([tb[column].min() >= 0 for column in tb.columns]), "All numbers should be >0"
+    assert all([tb[column].max() <= 100 for column in tb.columns if "share" in column]), "Percentages should be <100"
+    # Check that the percentages of the different laying hens housings add up to 100%.
+    # Note: The share of brown hens is not related to all other shares about housing systems.
+    assert (
+        tb[
+            [
+                "share_of_hens_free_range_not_organic",
+                "share_of_hens_free_range_organic",
+                "share_of_hens_in_barns",
+                "share_of_hens_in_cages",
+                "share_of_hens_in_unknown_housing",
+            ]
+        ].sum(axis=1)
+        < 101
+    ).all()
+
+
+def run(dest_dir: str) -> None:
+    #
+    # Load inputs.
+    #
+    # Load meadow dataset and read its main table.
+    ds_meadow: Dataset = paths.load_dependency("global_hen_inventory")
+    tb = ds_meadow["global_hen_inventory"].reset_index()
+
+    #
+    # Process data.
+    #
+    # Select and rename columns.
+    tb = tb[list(COLUMNS)].rename(columns=COLUMNS, errors="raise")
+
+    # Harmonize country names.
+    tb: Table = geo.harmonize_countries(df=tb, countries_file=paths.country_mapping_path)
+
+    # The sources and URLs of the data for each country are given as separate columns.
+    # Gather them and add them to the source description of each variable.
+    tb = add_individual_sources_to_metadata(tb=tb)
+
+    # Drop unnecessary columns.
+    tb = tb.drop(columns=["available_at", "source"])
+
+    # Clean data (remove spurious "%" in the data).
+    tb = clean_values(tb=tb)
+
+    # Set an appropriate index and sort conveniently.
+    tb = tb.set_index(["country", "year"], verify_integrity=True).sort_index().sort_index(axis=1)
+
+    # Run sanity checks on outputs.
+    run_sanity_checks_on_outputs(tb=tb)
+
+    #
+    # Save outputs.
+    #
+    # Create a new garden dataset with the same metadata as the meadow dataset.
+    ds_garden = create_dataset(dest_dir, tables=[tb], default_metadata=ds_meadow.metadata)
+
+    # Save changes in the new garden dataset.
+    ds_garden.save()
diff --git a/etl/steps/data/grapher/animal_welfare/2023-08-01/global_hen_inventory.py b/etl/steps/data/grapher/animal_welfare/2023-08-01/global_hen_inventory.py
new file mode 100644
index 00000000000..66d425fb934
--- /dev/null
+++ b/etl/steps/data/grapher/animal_welfare/2023-08-01/global_hen_inventory.py
@@ -0,0 +1,33 @@
+"""Load a garden dataset and create a grapher dataset."""
+
+from typing import cast
+
+from owid.catalog import Dataset
+
+from etl.helpers import PathFinder, create_dataset, grapher_checks
+
+# Get paths and naming conventions for current step.
+paths = PathFinder(__file__)
+
+
+def run(dest_dir: str) -> None:
+    #
+    # Load inputs.
+    #
+    # Load garden dataset and read its main table.
+    ds_garden = cast(Dataset, paths.load_dependency("global_hen_inventory"))
+    tb = ds_garden["global_hen_inventory"]
+
+    #
+    # Save outputs.
+    #
+    # Create a new grapher dataset with the same metadata as the garden dataset.
+    ds_grapher = create_dataset(dest_dir, tables=[tb], default_metadata=ds_garden.metadata)
+
+    #
+    # Checks.
+    #
+    grapher_checks(ds_grapher)
+
+    # Save changes in the new grapher dataset.
+    ds_grapher.save()
diff --git a/etl/steps/data/meadow/animal_welfare/2023-08-01/global_hen_inventory.py b/etl/steps/data/meadow/animal_welfare/2023-08-01/global_hen_inventory.py
new file mode 100644
index 00000000000..63e6a322153
--- /dev/null
+++ b/etl/steps/data/meadow/animal_welfare/2023-08-01/global_hen_inventory.py
@@ -0,0 +1,38 @@
+"""Load a snapshot and create a meadow dataset."""
+
+import owid.catalog.processing as pr
+
+from etl.helpers import PathFinder, create_dataset
+from etl.snapshot import Snapshot
+
+# Get paths and naming conventions for current step.
+paths = PathFinder(__file__)
+
+
+def run(dest_dir: str) -> None:
+    #
+    # Load inputs.
+    #
+    # Retrieve snapshot.
+    snap: Snapshot = paths.load_dependency("global_hen_inventory.csv")
+
+    # Load data from snapshot.
+    tb = pr.read_csv(snap.path, sep="\t", encoding="utf-16", engine="python", metadata=snap.to_table_metadata())
+
+    #
+    # Process data.
+    #
+    # Ensure all columns are snake-case.
+    tb = tb.underscore()
+
+    # Set an appropriate index and sort conveniently.
+    tb = tb.set_index(["country", "year"], verify_integrity=True).sort_index().sort_index(axis=1)
+
+    #
+    # Save outputs.
+    #
+    # Create a new meadow dataset with the same metadata as the snapshot.
+    ds_meadow = create_dataset(dest_dir, tables=[tb], default_metadata=snap.metadata)
+
+    # Save changes in the new garden dataset.
+    ds_meadow.save()
diff --git a/snapshots/animal_welfare/2023-08-01/global_hen_inventory.csv.dvc b/snapshots/animal_welfare/2023-08-01/global_hen_inventory.csv.dvc
new file mode 100644
index 00000000000..195010c97a7
--- /dev/null
+++ b/snapshots/animal_welfare/2023-08-01/global_hen_inventory.csv.dvc
@@ -0,0 +1,21 @@
+meta:
+  name: Global hen inventory
+  publication_year: 2022
+
+  publication_date: '2022-12-06'
+  source_name: Welfare Footprint Project
+  source_published_by: Welfare Footprint Project based on various sources.
+  url: https://welfarefootprint.org/research-projects/laying-hens/
+  source_data_url:
+  file_extension: csv
+  license_url: https://welfarefootprint.org/research-projects/laying-hens/
+  license_name: Creative Commons BY
+  date_accessed: 2023-08-01
+  is_public: true
+  description: |
+
+wdir: ../../../data/snapshots/animal_welfare/2023-08-01
+outs:
+- md5: 5f8cb302d78da91870da11136e9fdd5a
+  size: 41872
+  path: global_hen_inventory.csv
diff --git a/snapshots/animal_welfare/2023-08-01/global_hen_inventory.py b/snapshots/animal_welfare/2023-08-01/global_hen_inventory.py
new file mode 100644
index 00000000000..c75a5611d42
--- /dev/null
+++ b/snapshots/animal_welfare/2023-08-01/global_hen_inventory.py
@@ -0,0 +1,50 @@
+"""Script to create a snapshot of dataset 'Global hen inventory'.
+
+The data is manually downloaded from the first Tableau dashboard shown in:
+https://welfarefootprint.org/research-projects/laying-hens/
+
+To download the data:
+* Go to: https://public.tableau.com/views/GlobalHenInventory-Reduced/Dashboard1
+* Click on the download button on the bottom-right corner of the dashboard.
+* Select "Data" in the pop-up message, which will open another window showing a data table.
+* In that new window, there is a button "Show fields" on the upper-right corner of the window. Select all fields.
+* Next to that button, click on "Download", which will download a csv file.
+
+Then execute this script with the argument --path-to-file followed by the path to the downloaded file.
+
+"""
+
+from pathlib import Path
+
+import click
+
+from etl.snapshot import Snapshot
+
+# Version for current snapshot dataset.
+SNAPSHOT_VERSION = Path(__file__).parent.name
+
+
+@click.command()
+@click.option(
+    "--upload/--skip-upload",
+    default=True,
+    type=bool,
+    help="Upload dataset to Snapshot",
+)
+@click.option("--path-to-file", prompt=True, type=str, help="Path to local data file.")
+def main(path_to_file: str, upload: bool) -> None:
+    # Create a new snapshot.
+    snap = Snapshot(f"animal_welfare/{SNAPSHOT_VERSION}/global_hen_inventory.csv")
+
+    # Ensure destination folder exists.
+    snap.path.parent.mkdir(exist_ok=True, parents=True)
+
+    # Copy local data file to snapshots data folder.
+    snap.path.write_bytes(Path(path_to_file).read_bytes())
+
+    # Add file to DVC and upload to S3.
+    snap.dvc_add(upload=upload)
+
+
+if __name__ == "__main__":
+    main()