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deleted file mode 100644
index 116560d..0000000
--- a/dataset/geonames/allentries.parquet/country_code=TT/data_0.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:aecf46521891ce444a5fa107e2bc94a400840c45c10d13ef2387e36ae2f11c66
-size 25286
diff --git a/dataset/geonames/allentries.parquet/country_code=TV/data_0.parquet b/dataset/geonames/allentries.parquet/country_code=TV/data_0.parquet
deleted file mode 100644
index bb4de3f..0000000
--- a/dataset/geonames/allentries.parquet/country_code=TV/data_0.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:9f234ee2bfe117c1e9c7019ddb8f4f6ea4107a15416222bf516a54480c596b00
-size 6910
diff --git a/dataset/geonames/allentries.parquet/country_code=TW/data_0.parquet b/dataset/geonames/allentries.parquet/country_code=TW/data_0.parquet
deleted file mode 100644
index 29cd626..0000000
--- a/dataset/geonames/allentries.parquet/country_code=TW/data_0.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:9ac9472ff3c4e28a8f7425e54d1c6b2b19e0f42190f3f785816a228d69de358c
-size 1144013
diff --git a/dataset/geonames/allentries.parquet/country_code=TZ/data_0.parquet b/dataset/geonames/allentries.parquet/country_code=TZ/data_0.parquet
deleted file mode 100644
index 3f7700d..0000000
--- a/dataset/geonames/allentries.parquet/country_code=TZ/data_0.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a095f522987736250479a4b4173f5f19da099687b87d1aed60183f097d3ef4a7
-size 554021
diff --git a/dataset/geonames/allentries.parquet/country_code=UA/data_0.parquet b/dataset/geonames/allentries.parquet/country_code=UA/data_0.parquet
deleted file mode 100644
index bf3fce3..0000000
--- a/dataset/geonames/allentries.parquet/country_code=UA/data_0.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:987f70b3600def04e8e770fe73a54a105fc9894a9ccc65a07f154cdda473b49f
-size 1576842
diff --git a/dataset/geonames/allentries.parquet/country_code=UG/data_0.parquet b/dataset/geonames/allentries.parquet/country_code=UG/data_0.parquet
deleted file mode 100644
index 0553e1f..0000000
--- a/dataset/geonames/allentries.parquet/country_code=UG/data_0.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a9358dc6a70317aafb8c9fc4a975d9ad38f41e002677e41b63a03302209e0d7e
-size 641146
diff --git a/dataset/geonames/allentries.parquet/country_code=UM/data_0.parquet b/dataset/geonames/allentries.parquet/country_code=UM/data_0.parquet
deleted file mode 100644
index 4c9cc06..0000000
--- a/dataset/geonames/allentries.parquet/country_code=UM/data_0.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:a3192c7d9a602f45021e9b9d283c3d6d3180598e6b6fe0de6cfb4f45f3f8f640
-size 5941
diff --git a/dataset/geonames/allentries.parquet/country_code=US/data_0.parquet b/dataset/geonames/allentries.parquet/country_code=US/data_0.parquet
deleted file mode 100644
index cfad8e3..0000000
--- a/dataset/geonames/allentries.parquet/country_code=US/data_0.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:d8e294748798891f9bbb7c2811f215ff5bd2c8dd42cc3ef9225dfa7f430a647d
-size 10206795
diff --git a/dataset/geonames/allentries.parquet/country_code=UY/data_0.parquet b/dataset/geonames/allentries.parquet/country_code=UY/data_0.parquet
deleted file mode 100644
index f4001c0..0000000
--- a/dataset/geonames/allentries.parquet/country_code=UY/data_0.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:dd66ac4607b0715fbbe00efa03a920878e1a7799fafccf6b47c3a70edabbde00
-size 56237
diff --git a/dataset/geonames/allentries.parquet/country_code=UZ/data_0.parquet b/dataset/geonames/allentries.parquet/country_code=UZ/data_0.parquet
deleted file mode 100644
index c5a059c..0000000
--- a/dataset/geonames/allentries.parquet/country_code=UZ/data_0.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:dd44d64d7b6c89d7d0952f92e27be9004564abe4ef44a0c9c793a81119461a6f
-size 247729
diff --git a/dataset/geonames/allentries.parquet/country_code=VE/data_0.parquet b/dataset/geonames/allentries.parquet/country_code=VE/data_0.parquet
deleted file mode 100644
index 3d25c55..0000000
--- a/dataset/geonames/allentries.parquet/country_code=VE/data_0.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:3be97b7481943b1ed1617a13ac30da21210cab98e0f384768dcbb14b0709d51d
-size 884331
diff --git a/dataset/geonames/allentries.parquet/country_code=VI/data_0.parquet b/dataset/geonames/allentries.parquet/country_code=VI/data_0.parquet
deleted file mode 100644
index 369e82c..0000000
--- a/dataset/geonames/allentries.parquet/country_code=VI/data_0.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:9bf83a98099502a5415480b036042e7bba4aee5a47fcb3d4ad69b10e3de6bf30
-size 25198
diff --git a/dataset/geonames/allentries.parquet/country_code=VN/data_0.parquet b/dataset/geonames/allentries.parquet/country_code=VN/data_0.parquet
deleted file mode 100644
index 8ccbb2d..0000000
--- a/dataset/geonames/allentries.parquet/country_code=VN/data_0.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:adcd3bfe930e91ddf701548aa0f1aed213d8193e28e2b2c459fa88004896f1c3
-size 1875482
diff --git a/dataset/geonames/allentries.parquet/country_code=VU/data_0.parquet b/dataset/geonames/allentries.parquet/country_code=VU/data_0.parquet
deleted file mode 100644
index 4eaa12d..0000000
--- a/dataset/geonames/allentries.parquet/country_code=VU/data_0.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:478d64a2e9e4fbc63919941b538983a391e71b6197b77bb40e3d99044c6377dd
-size 57078
diff --git a/dataset/geonames/allentries.parquet/country_code=WF/data_0.parquet b/dataset/geonames/allentries.parquet/country_code=WF/data_0.parquet
deleted file mode 100644
index 33f4f67..0000000
--- a/dataset/geonames/allentries.parquet/country_code=WF/data_0.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:ca7afbdad3fdd3526923d58fe331245b25fb182699e1c791fe287686cb8b8bdc
-size 11195
diff --git a/dataset/geonames/allentries.parquet/country_code=WS/data_0.parquet b/dataset/geonames/allentries.parquet/country_code=WS/data_0.parquet
deleted file mode 100644
index eea721c..0000000
--- a/dataset/geonames/allentries.parquet/country_code=WS/data_0.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:1157767e11286b4478572af183d307de8334cda055d61ce32814e3cc2c6d5799
-size 20677
diff --git a/dataset/geonames/allentries.parquet/country_code=XK/data_0.parquet b/dataset/geonames/allentries.parquet/country_code=XK/data_0.parquet
deleted file mode 100644
index e2a6105..0000000
--- a/dataset/geonames/allentries.parquet/country_code=XK/data_0.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:e8048a4426df5955b188e1bf5cbcc82b2b3787310ba76aa8f2cf1c1db2f5b9b3
-size 88472
diff --git a/dataset/geonames/allentries.parquet/country_code=YE/data_0.parquet b/dataset/geonames/allentries.parquet/country_code=YE/data_0.parquet
deleted file mode 100644
index 51c744f..0000000
--- a/dataset/geonames/allentries.parquet/country_code=YE/data_0.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:d66e04704032b216b9d6a2124936ca6f2f1b5fdfe4a3ed169e1110f17f13861b
-size 2290148
diff --git a/dataset/geonames/allentries.parquet/country_code=ZA/data_0.parquet b/dataset/geonames/allentries.parquet/country_code=ZA/data_0.parquet
deleted file mode 100644
index 18e0c46..0000000
--- a/dataset/geonames/allentries.parquet/country_code=ZA/data_0.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:fa257496675f37a28a88ba744fa6e084ca275f49097a073172c7e723384b0edc
-size 543444
diff --git a/dataset/geonames/allentries.parquet/country_code=ZM/data_0.parquet b/dataset/geonames/allentries.parquet/country_code=ZM/data_0.parquet
deleted file mode 100644
index 7a0c459..0000000
--- a/dataset/geonames/allentries.parquet/country_code=ZM/data_0.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:443540749d6754c286481dbb2b1854bbbcb513744c47bc1ea7bf2e402c3cc3e7
-size 326172
diff --git a/dataset/geonames/allentries.parquet/country_code=ZW/data_0.parquet b/dataset/geonames/allentries.parquet/country_code=ZW/data_0.parquet
deleted file mode 100644
index 76367bc..0000000
--- a/dataset/geonames/allentries.parquet/country_code=ZW/data_0.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:fb3b834f742ab1ed680522e84d12df24510e3096ffcb7d55b7546075982845c6
-size 75459
diff --git a/dataset/geonames/latlon_cache.parquet b/dataset/geonames/latlon_cache.parquet
deleted file mode 100644
index 0badad5..0000000
--- a/dataset/geonames/latlon_cache.parquet
+++ /dev/null
@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:7a592c48e233f4b6848991b60714d25f30257855d8f77ae49fc35ba47a9c12b8
-size 483659
diff --git a/importer/geonames/__init__.py b/importer/geonames/__init__.py
index 797c0b4..ec92f85 100644
--- a/importer/geonames/__init__.py
+++ b/importer/geonames/__init__.py
@@ -1,28 +1,27 @@
 #!/usr/bin/env python3
 # -*- coding: utf-8 -*
 
-import sys
 import wdalib
 
-provider = "geonames"
-repo_url = "https://download.geonames.org/export"
+PROVIDER = "geonames"
+REPO_URL = "https://download.geonames.org/export"
 
 
 def download_countries():
-    filename = f"./downloaded/{provider}/countryInfo.txt"
-
+    """Downloads the GeoNames country info file."""
+    filename = f"./downloaded/{PROVIDER}/countryInfo.txt"
     wdalib.downloadFile(
-        f"{repo_url}/dump/countryInfo.txt",
+        f"{REPO_URL}/dump/countryInfo.txt",
         "countryInfo",
         filename,
     )
 
 
 def download_allentries():
-    filename = f"./downloaded/{provider}/allCountries.zip"
-
+    """Downloads and unzips the GeoNames allCountries archive."""
+    filename = f"./downloaded/{PROVIDER}/allCountries.zip"
     wdalib.downloadFile(
-        f"{repo_url}/dump/allCountries.zip",
+        f"{REPO_URL}/dump/allCountries.zip",
         "allCountries",
         filename,
     )
@@ -30,22 +29,23 @@ def download_allentries():
     print("=== Uncompressing allCountries.zip ===")
     wdalib.unzipFile(
         filename,
-        f"./downloaded/{provider}",
+        f"./downloaded/{PROVIDER}",
     )
 
 
 def download():
-    if not wdalib.isFolderOutdated(f"./downloaded/{provider}", 7 * 24):
+    """Downloads all required files if the folder is outdated."""
+    if not wdalib.isFolderOutdated(f"./downloaded/{PROVIDER}", 7 * 24):
         return
 
-    wdalib.init_download(provider)
-    wdalib.show_title(f"Download {provider}")
+    wdalib.init_download(PROVIDER)
+    wdalib.show_title(f"Download {PROVIDER}")
 
     download_countries()
     download_allentries()
 
 
 def update():
-    wdalib.init_dataset(provider)
-
-    wdalib.data2duckdb(provider)
+    """Updates the dataset for the provider."""
+    wdalib.init_dataset(PROVIDER)
+    wdalib.data2duckdb(PROVIDER)
diff --git a/importer/geonames/_data2duckdb.sql b/importer/geonames/_data2duckdb.sql
index ac6346d..ebc4b3a 100644
--- a/importer/geonames/_data2duckdb.sql
+++ b/importer/geonames/_data2duckdb.sql
@@ -1,9 +1,13 @@
+.mode box
+
 SET memory_limit = '5GB';
 SET threads = 4;
+PRAGMA enable_progress_bar;
+
+BEGIN TRANSACTION;
 
 -- Countries
-DROP TABLE IF EXISTS geonames_countries;
-CREATE TABLE geonames_countries (
+CREATE OR REPLACE TABLE geonames_countries (
     iso TEXT,
     iso3 TEXT,
     iso_numeric INTEGER,
@@ -60,8 +64,7 @@ INSERT INTO geonames_countries
 -------------------------------------------------------------------------------
 -- Load raw entries (feature_class A=admin, P=populated places)
 -------------------------------------------------------------------------------
-DROP TABLE IF EXISTS geonames_raw;
-CREATE TABLE geonames_raw AS
+CREATE OR REPLACE TABLE geonames_raw AS
     SELECT *
     FROM read_csv(
         './downloaded/geonames/allCountries.txt',
@@ -95,8 +98,7 @@ CREATE TABLE geonames_raw AS
 -------------------------------------------------------------------------------
 -- Compute admin fullcodes in one pass
 -------------------------------------------------------------------------------
-DROP TABLE IF EXISTS geonames_with_fullcodes;
-CREATE TABLE geonames_with_fullcodes AS
+CREATE OR REPLACE TABLE geonames_with_fullcodes AS
 SELECT
     -- geonames_fullcode: identifier for ADM1/ADM2/ADM3/ADM4 records used as JOIN keys
     CASE feature_code
@@ -136,27 +138,22 @@ DROP TABLE geonames_raw;
 -------------------------------------------------------------------------------
 -- Build lookup tables for ADM1–ADM4 (small, indexed in memory by DuckDB)
 -------------------------------------------------------------------------------
-DROP TABLE IF EXISTS geonames_adm1_lkp;
-CREATE TABLE geonames_adm1_lkp AS
+CREATE OR REPLACE TABLE geonames_adm1_lkp AS
     SELECT id, name, geonames_fullcode FROM geonames_with_fullcodes WHERE feature_code = 'ADM1';
 
-DROP TABLE IF EXISTS geonames_adm2_lkp;
-CREATE TABLE geonames_adm2_lkp AS
+CREATE OR REPLACE TABLE geonames_adm2_lkp AS
     SELECT id, name, geonames_fullcode FROM geonames_with_fullcodes WHERE feature_code = 'ADM2';
 
-DROP TABLE IF EXISTS geonames_adm3_lkp;
-CREATE TABLE geonames_adm3_lkp AS
+CREATE OR REPLACE TABLE geonames_adm3_lkp AS
     SELECT id, name, geonames_fullcode FROM geonames_with_fullcodes WHERE feature_code = 'ADM3';
 
-DROP TABLE IF EXISTS geonames_adm4_lkp;
-CREATE TABLE geonames_adm4_lkp AS
+CREATE OR REPLACE TABLE geonames_adm4_lkp AS
     SELECT id, name, geonames_fullcode FROM geonames_with_fullcodes WHERE feature_code = 'ADM4';
 
 -------------------------------------------------------------------------------
 -- Final table: resolve admin IDs and names in one hash-join pass
 -------------------------------------------------------------------------------
-DROP TABLE IF EXISTS geonames_allentries;
-CREATE TABLE geonames_allentries AS
+CREATE OR REPLACE TABLE geonames_allentries AS
 SELECT
     ga.geonames_fullcode,
     ga.id,
@@ -206,4 +203,36 @@ DROP TABLE geonames_adm4_lkp;
 CREATE INDEX idx_geonames_allentries_lat_lon ON geonames_allentries (latitude, longitude);
 
 COPY geonames_countries TO './dataset/geonames/raw/countries.parquet' (FORMAT 'parquet', COMPRESSION 'zstd');
-COPY geonames_allentries TO './dataset/geonames/raw/allentries.parquet' (FORMAT 'parquet', COMPRESSION 'zstd', PARTITION_BY (country_code));
+COPY geonames_allentries TO './dataset/geonames/raw/allentries.parquet' (FORMAT 'parquet', COMPRESSION 'zstd', PARTITION_BY (country_code), OVERWRITE_OR_IGNORE TRUE);
+
+-- Pre-aggregated summary parquets: read by the observable dataloader as 3 small
+-- R2 requests instead of fanning out across 388 country partitions.
+COPY (
+    SELECT
+        COUNT(*)                                                      AS total_entries,
+        COUNT(DISTINCT country_code)                                  AS total_countries,
+        SUM(CASE WHEN feature_class = 'P' THEN 1 ELSE 0 END)         AS populated_places,
+        SUM(CASE WHEN feature_class = 'A' THEN 1 ELSE 0 END)         AS admin_entries,
+        SUM(CASE WHEN feature_class = 'P' AND population > 0
+                 THEN population ELSE 0 END)                         AS total_population
+    FROM geonames_allentries
+) TO './dataset/geonames/observable/allentries-stats.parquet' (FORMAT 'parquet', COMPRESSION 'zstd');
+
+COPY (
+    SELECT feature_code, COUNT(*) AS count
+    FROM geonames_allentries
+    WHERE feature_class = 'P'
+    GROUP BY feature_code
+    ORDER BY count DESC
+    LIMIT 15
+) TO './dataset/geonames/observable/allentries-feature-codes.parquet' (FORMAT 'parquet', COMPRESSION 'zstd');
+
+COPY (
+    SELECT name, country_code, population, latitude, longitude
+    FROM geonames_allentries
+    WHERE feature_code = 'PPLC'
+      AND latitude IS NOT NULL AND longitude IS NOT NULL
+    ORDER BY population DESC NULLS LAST
+) TO './dataset/geonames/observable/allentries-capitals.parquet' (FORMAT 'parquet', COMPRESSION 'zstd');
+
+COMMIT;
diff --git a/importer/geonames/export_observable_parquets.sh b/importer/geonames/export_observable_parquets.sh
deleted file mode 100644
index b32583e..0000000
--- a/importer/geonames/export_observable_parquets.sh
+++ /dev/null
@@ -1,29 +0,0 @@
-#!/usr/bin/env bash
-# Generate observable parquets for geonames (countries + allentries + latlon cache).
-# Output: dataset/geonames/observable/
-
-set -e
-
-RAW_DIR="./dataset/geonames/raw"
-OBS_DIR="./dataset/geonames/observable"
-
-mkdir -p "$OBS_DIR"
-
-echo "[geonames] Copying geonames parquets to observable/..."
-
-duckdb -c "
-COPY (SELECT * FROM read_parquet('${RAW_DIR}/countries.parquet'))
-  TO '${OBS_DIR}/countries.parquet' (FORMAT parquet, COMPRESSION zstd);
-COPY (SELECT * FROM read_parquet('${RAW_DIR}/latlon_cache.parquet'))
-  TO '${OBS_DIR}/latlon_cache.parquet' (FORMAT parquet, COMPRESSION zstd);
-"
-
-# allentries is partitioned by country_code — copy partition structure
-if [ -d "${RAW_DIR}/allentries.parquet" ]; then
-    echo "[geonames] Copying allentries partitions..."
-    rm -rf "${OBS_DIR}/allentries.parquet"
-    cp -r "${RAW_DIR}/allentries.parquet" "${OBS_DIR}/allentries.parquet"
-fi
-
-COUNT=$(find "$OBS_DIR" -name "*.parquet" | wc -l)
-echo "[geonames] Done — ${COUNT} parquet files written to ${OBS_DIR}"
diff --git a/importer/release_github.sh b/importer/release_github.sh
index fa9375a..cd42be3 100755
--- a/importer/release_github.sh
+++ b/importer/release_github.sh
@@ -106,7 +106,7 @@ for dataset in $datasets; do
                 echo "," >> "$manifest_file"
             fi
             printf '  "%s": "%s"' "$github_name" "$rel" >> "$manifest_file"
-        done < <(find "$upload_dir" -name "*.parquet" | sort)
+        done < <(find "$upload_dir" -name "*.parquet" -type f | sort)
     done
     echo "" >> "$manifest_file"
     echo "}" >> "$manifest_file"
diff --git a/importer/vigilo/__init__.py b/importer/vigilo/__init__.py
index 85a0a29..4e1bb1e 100644
--- a/importer/vigilo/__init__.py
+++ b/importer/vigilo/__init__.py
@@ -131,5 +131,8 @@ def download():
 
 def update():
     wdalib.show_title(f"Update {provider}")
+
+    wdalib.downloadFromR2("geonames", subdir="raw")
     wdalib.downloadFromR2(provider, subdir="raw")
+
     wdalib.data2duckdb(provider)
diff --git a/importer/wdalib.py b/importer/wdalib.py
index 17b7a8b..19aa982 100644
--- a/importer/wdalib.py
+++ b/importer/wdalib.py
@@ -19,6 +19,7 @@ def init_download(provider):
 def init_dataset(provider):
     # shutil.rmtree(f"./dataset/{provider}", ignore_errors=True)
     os.makedirs(f"./dataset/{provider}", exist_ok=True)
+    os.makedirs(f"./dataset/{provider}/observable", exist_ok=True)
 
 
 def show_title(title):
diff --git a/observable/observablehq.config.js b/observable/observablehq.config.js
index b9d88dc..20edbf8 100644
--- a/observable/observablehq.config.js
+++ b/observable/observablehq.config.js
@@ -45,6 +45,15 @@ export default {
         { name: "Toutes les villes", path: "/vigilo/cities" },
       ],
     },
+    {
+      name: "GeoNames",
+      datasets: ["geonames"],
+      open: false,
+      pages: [
+        { name: "Explorer les pays", path: "/geonames" },
+        { name: "Lieux géographiques", path: "/geonames-allentries" },
+      ],
+    },
     {
       name: "NAF Rév. 2",
       datasets: ["nafrev2"],
diff --git a/observable/src/components/geonames-map.js b/observable/src/components/geonames-map.js
new file mode 100644
index 0000000..d5e3dc8
--- /dev/null
+++ b/observable/src/components/geonames-map.js
@@ -0,0 +1,293 @@
+import * as maplibregl from "npm:maplibre-gl";
+
+maplibregl.setWorkerUrl(
+  "https://unpkg.com/maplibre-gl@6.12.0/dist/maplibre-gl-worker.mjs",
+);
+
+// Antimeridian problem: TopoJSON→GeoJSON conversion keeps coordinates in their
+// original longitude range. Polygons that cross the 180°/-180° meridian (Russia,
+// Alaska, Fiji…) may have rings where one vertex is at +175° and the next at
+// -175°. On a flat Mercator projection this looks like a jump of 350°, causing
+// MapLibre to draw a giant triangle that cuts across the entire globe.
+//
+// unwrapRing makes consecutive longitudes continuous by adding/subtracting 360°
+// so that no two adjacent points differ by more than 180°. This prevents the
+// diagonal rendering artifact for most polygons.
+//
+// NOTE: unwrapRing alone is not a complete fix — it only handles rings whose
+// first vertex falls on the "right" side of the antimeridian. The definitive
+// solution is the globe projection (see createGeonamesMap below), which renders
+// the world as a sphere and wraps coordinates correctly without any coordinate
+// manipulation.
+function unwrapRing(ring) {
+  if (!ring || ring.length < 2) return ring;
+  const out = [[...ring[0]]];
+  for (let i = 1; i < ring.length; i++) {
+    const prev = out[i - 1];
+    const curr = [...ring[i]];
+    while (curr[0] - prev[0] > 180) curr[0] -= 360;
+    while (curr[0] - prev[0] < -180) curr[0] += 360;
+    out.push(curr);
+  }
+  return out;
+}
+
+export function fixGeometry(geometry) {
+  if (!geometry) return geometry;
+  if (geometry.type === "Polygon") {
+    return { ...geometry, coordinates: geometry.coordinates.map(unwrapRing) };
+  }
+  if (geometry.type === "MultiPolygon") {
+    return {
+      ...geometry,
+      coordinates: geometry.coordinates.map((poly) => poly.map(unwrapRing)),
+    };
+  }
+  return geometry;
+}
+
+function bluesLog(value, logMin, logMax) {
+  if (!value || value <= 0) return "#cccccc";
+  const logV = Math.log10(Math.max(value, Math.pow(10, logMin)));
+  const t = Math.max(0, Math.min(1, (logV - logMin) / (logMax - logMin)));
+  // Blues: #f7fbff → #08306b
+  const r = Math.round(247 + t * (8 - 247));
+  const g = Math.round(251 + t * (48 - 251));
+  const b = Math.round(255 + t * (107 - 255));
+  return `rgb(${r},${g},${b})`;
+}
+
+// YlBu two-hue palette for density — transitioning from yellow to cyan to dark
+// blue gives a strong perceptual range across the logarithmic scale while
+// keeping the warm/cool opposition intuitive (sparse = warm light, dense = cool dark).
+// Stops: #ffffd4 → #41b6c4 → #0c2c84
+const YLBU_STOPS = [
+  [255, 255, 212],
+  [65, 182, 196],
+  [12, 44, 132],
+];
+
+function ylbuLog(value, logMin, logMax) {
+  if (!value || value <= 0) return "#cccccc";
+  const logV = Math.log10(Math.max(value, Math.pow(10, logMin)));
+  const t = Math.max(0, Math.min(1, (logV - logMin) / (logMax - logMin)));
+  const pos = t * (YLBU_STOPS.length - 1);
+  const i = Math.min(Math.floor(pos), YLBU_STOPS.length - 2);
+  const f = pos - i;
+  const [r1, g1, b1] = YLBU_STOPS[i];
+  const [r2, g2, b2] = YLBU_STOPS[i + 1];
+  return `rgb(${Math.round(r1 + f * (r2 - r1))},${Math.round(
+    g1 + f * (g2 - g1),
+  )},${Math.round(b1 + f * (b2 - b1))})`;
+}
+
+function buildLegend(labelText, tickLabels, gradient) {
+  const wrap = document.createElement("div");
+  wrap.style.cssText =
+    "padding:8px 12px 4px;display:flex;flex-direction:column;gap:2px;";
+
+  const label = document.createElement("div");
+  label.textContent = labelText;
+  label.style.cssText = "font-size:11px;color:#aaa;margin-bottom:2px;";
+
+  const bar = document.createElement("div");
+  bar.style.cssText = `height:10px;width:240px;border-radius:2px;background:linear-gradient(to right,${gradient});`;
+
+  const ticks = document.createElement("div");
+  ticks.style.cssText =
+    "width:240px;display:flex;justify-content:space-between;font-size:10px;color:#aaa;margin-top:2px;";
+  tickLabels.forEach((t) => {
+    const s = document.createElement("span");
+    s.textContent = t;
+    ticks.appendChild(s);
+  });
+
+  wrap.append(label, bar, ticks);
+  return wrap;
+}
+
+function injectPopupStyles() {
+  if (document.getElementById("wda-geonames-popup-style")) return;
+  const style = document.createElement("style");
+  style.id = "wda-geonames-popup-style";
+  style.textContent = `
+    .wda-geonames-popup .maplibregl-popup-content {
+      background: #000;
+      color: #e0e0e0;
+      padding: 6px 10px;
+      border-radius: 4px;
+      font-size: 13px;
+      line-height: 1.4;
+    }
+    .wda-geonames-popup .maplibregl-popup-tip {
+      border-top-color: #000;
+      border-bottom-color: #000;
+    }
+  `;
+  document.head.appendChild(style);
+}
+
+// metric: "population" (default) | "density" (hab/km²)
+export async function createGeonamesMap(
+  container,
+  countries,
+  { metric = "population" } = {},
+) {
+  const { feature } = await import(
+    "https://cdn.jsdelivr.net/npm/topojson-client@3/+esm"
+  );
+  const world = await fetch(
+    "https://cdn.jsdelivr.net/npm/world-atlas@2/countries-110m.json",
+  ).then((r) => r.json());
+
+  const popByNumeric = new Map(countries.map((d) => [d.iso_numeric, d]));
+  const allFeatures = feature(world, world.objects.countries).features;
+
+  const isDensity = metric === "density";
+
+  // Compute the value used for coloring depending on metric
+  const getValue = (info) => {
+    if (isDensity) {
+      const pop = info.population ?? 0;
+      const area = info.area_km2 ?? 0;
+      return pop > 0 && area > 0 ? pop / area : 0;
+    }
+    return info.population ?? 0;
+  };
+
+  const values = countries.map(getValue).filter((v) => v > 0);
+  const logMin = isDensity ? Math.log10(0.1) : Math.log10(1e4);
+  const logMax = Math.log10(Math.max(...values));
+
+  const geojson = {
+    type: "FeatureCollection",
+    features: allFeatures.map((f) => {
+      const info = popByNumeric.get(+f.id) ?? {};
+      const value = getValue(info);
+      const density =
+        info.population > 0 && info.area_km2 > 0
+          ? info.population / info.area_km2
+          : 0;
+      return {
+        ...f,
+        geometry: fixGeometry(f.geometry),
+        properties: {
+          country: info.country ?? "",
+          population: info.population ?? 0,
+          area_km2: info.area_km2 ?? 0,
+          density,
+          fill: ylbuLog(value, logMin, logMax),
+        },
+      };
+    }),
+  };
+
+  // Insert legend just before the map container
+  const legendLabel = isDensity ? "Densité (hab/km²)" : "Population";
+  const legendTicks = isDensity
+    ? ["0,1", "1", "10", "100", "1 k", "10 k"]
+    : ["10 k", "100 k", "1 M", "10 M", "100 M", "1 Md"];
+  const legendColors = ["#ffffd4", "#41b6c4", "#0c2c84"];
+  const legendGradient = legendColors.join(",");
+  container.parentElement?.insertBefore(
+    buildLegend(legendLabel, legendTicks, legendGradient),
+    container,
+  );
+
+  // Store legend config so the PNG export can redraw it on canvas
+  container._wdaLegend = {
+    label: legendLabel,
+    ticks: legendTicks,
+    colors: legendColors,
+  };
+
+  // Globe projection (MapLibre GL v3+) is the definitive fix for antimeridian
+  // artifacts: it renders the world as a sphere so polygons that cross ±180°
+  // are drawn correctly without any coordinate manipulation.
+  const map = new maplibregl.Map({
+    container,
+    style: {
+      version: 8,
+      sources: {},
+      layers: [
+        {
+          id: "background",
+          type: "background",
+          paint: { "background-color": "#d4e9f7" },
+        },
+      ],
+      projection: { type: "globe" },
+    },
+    center: [10, 20],
+    zoom: 1.2,
+    minZoom: 0.5,
+    maxZoom: 10,
+    preserveDrawingBuffer: true,
+    attributionControl: false,
+  });
+
+  container._wdaMap = map;
+
+  await new Promise((resolve) => map.on("load", resolve));
+
+  map.addSource("countries", { type: "geojson", data: geojson });
+
+  map.addLayer({
+    id: "countries-fill",
+    type: "fill",
+    source: "countries",
+    paint: {
+      "fill-color": ["get", "fill"],
+      "fill-opacity": 0.9,
+    },
+  });
+
+  map.addLayer({
+    id: "countries-border",
+    type: "line",
+    source: "countries",
+    paint: {
+      "line-color": "#ffffff",
+      "line-width": 0.5,
+      "line-opacity": 0.8,
+    },
+  });
+
+  const popup = new maplibregl.Popup({
+    closeButton: false,
+    closeOnClick: false,
+    maxWidth: "220px",
+    className: "wda-geonames-popup",
+  });
+
+  injectPopupStyles();
+
+  map.on("mousemove", "countries-fill", (e) => {
+    map.getCanvas().style.cursor = "pointer";
+    const p = e.features[0].properties;
+    if (p.country) {
+      let html = `<strong>${p.country}</strong><br>`;
+      if (isDensity) {
+        html +=
+          p.density > 0
+            ? `${Number(p.density).toLocaleString("fr-FR", {
+                maximumFractionDigits: 1,
+              })} hab/km²`
+            : "—";
+      } else {
+        html +=
+          p.population > 0
+            ? `${Number(p.population).toLocaleString("fr-FR")} hab.`
+            : "—";
+      }
+      popup.setLngLat(e.lngLat).setHTML(html).addTo(map);
+    }
+  });
+
+  map.on("mouseleave", "countries-fill", () => {
+    map.getCanvas().style.cursor = "";
+    popup.remove();
+  });
+
+  return map;
+}
diff --git a/observable/src/components/wda-chart-actions.js b/observable/src/components/wda-chart-actions.js
index 27f93cf..8138eeb 100644
--- a/observable/src/components/wda-chart-actions.js
+++ b/observable/src/components/wda-chart-actions.js
@@ -4,6 +4,44 @@ const ICON_FULLSCREEN = `<svg xmlns="http://www.w3.org/2000/svg" width="14" heig
 
 const LOGO_SVG = `<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 58 20"><circle cx="10" cy="10" r="8.5" fill="none" stroke="#aaa" stroke-width="1.5"/><ellipse cx="10" cy="10" rx="4" ry="8.5" fill="none" stroke="#aaa" stroke-width="1"/><line x1="1.5" y1="10" x2="18.5" y2="10" stroke="#aaa" stroke-width="1"/><text x="23" y="14" font-family="sans-serif" font-size="11" font-weight="700" fill="#aaa" letter-spacing="1">WDA</text></svg>`;
 
+function extractSwatches(block) {
+  const container = block.querySelector('[class*="-swatches"]');
+  if (!container) return [];
+  const swatches = [];
+  for (const item of container.querySelectorAll('[class*="-swatch"]')) {
+    const svg = item.querySelector("svg[fill]");
+    if (!svg) continue;
+    const color = svg.getAttribute("fill");
+    const clone = item.cloneNode(true);
+    clone.querySelectorAll("svg, style").forEach((el) => el.remove());
+    const label = clone.textContent.trim();
+    if (color && label) swatches.push({ color, label });
+  }
+  return swatches;
+}
+
+function layoutSwatches(swatches, availableW) {
+  if (!swatches.length) return { height: 0, rows: [] };
+  const tmp = document.createElement("canvas").getContext("2d");
+  tmp.font = "11px sans-serif";
+  const swatchSize = 12,
+    gap = 4,
+    itemPad = 16;
+  const rows = [[]];
+  let cx = 0;
+  for (const s of swatches) {
+    const tw = tmp.measureText(s.label).width;
+    const iw = swatchSize + gap + tw + itemPad;
+    if (rows[rows.length - 1].length > 0 && cx + iw > availableW) {
+      rows.push([]);
+      cx = 0;
+    }
+    rows[rows.length - 1].push({ ...s, iw });
+    cx += iw;
+  }
+  return { height: rows.length * 20 + 8, rows };
+}
+
 function loadImage(url) {
   return new Promise((resolve) => {
     const img = new Image();
@@ -12,7 +50,13 @@ function loadImage(url) {
   });
 }
 
-async function composeAndDownload(contentW, contentH, drawContent, block) {
+async function composeAndDownload(
+  contentW,
+  contentH,
+  drawContent,
+  block,
+  swatches = [],
+) {
   const titleText =
     block.querySelector(".wda-chart-title")?.textContent?.trim() || "";
   const subtitleText =
@@ -28,7 +72,10 @@ async function composeAndDownload(contentW, contentH, drawContent, block) {
   const gapH = titleH || subtitleH ? 10 : 0;
   const sourceH = sourceText ? 28 : 0;
   const totalW = contentW + pad * 2;
-  const totalH = pad + titleH + subtitleH + gapH + contentH + sourceH + pad;
+  const swatchLayout = layoutSwatches(swatches, contentW);
+  const swatchH = swatchLayout.height;
+  const totalH =
+    pad + titleH + subtitleH + gapH + swatchH + contentH + sourceH + pad;
 
   const logoUrl = URL.createObjectURL(
     new Blob([LOGO_SVG], { type: "image/svg+xml" }),
@@ -59,6 +106,23 @@ async function composeAndDownload(contentW, contentH, drawContent, block) {
   }
   y += gapH;
 
+  if (swatchLayout.rows.length > 0 && swatchH > 0) {
+    let sy = y + 2;
+    for (const row of swatchLayout.rows) {
+      let sx = pad;
+      for (const { color, label, iw } of row) {
+        ctx.fillStyle = color;
+        ctx.fillRect(sx, sy, 12, 12);
+        ctx.font = "11px sans-serif";
+        ctx.fillStyle = "#e0e0e0";
+        ctx.fillText(label, sx + 16, sy + 10);
+        sx += iw;
+      }
+      sy += 20;
+    }
+    y += swatchH;
+  }
+
   drawContent(ctx, pad, y, contentW, contentH);
 
   const logoW = 58,
@@ -90,24 +154,61 @@ async function composeAndDownload(contentW, contentH, drawContent, block) {
 }
 
 async function downloadChart(block) {
-  // SVG chart
-  const svg = [...block.querySelectorAll("svg")].find(
+  const swatches = extractSwatches(block);
+
+  // SVG chart — pick the largest by area to avoid selecting small legend ramps
+  const allSvgs = [...block.querySelectorAll("svg")].filter(
     (s) => parseInt(s.getAttribute("width") || "0") > 100,
   );
-  if (svg) {
+  if (allSvgs.length) {
+    const svgArea = (s) =>
+      (s.viewBox?.baseVal?.width || s.clientWidth || 0) *
+      (s.viewBox?.baseVal?.height || s.clientHeight || 0);
+    allSvgs.sort((a, b) => svgArea(b) - svgArea(a));
+    const svg = allSvgs[0];
     const svgW = svg.viewBox?.baseVal?.width || svg.clientWidth || 640;
     const svgH = svg.viewBox?.baseVal?.height || svg.clientHeight || 400;
+
     const serializer = new XMLSerializer();
     const svgUrl = URL.createObjectURL(
       new Blob([serializer.serializeToString(svg)], { type: "image/svg+xml" }),
     );
     const chartImg = await loadImage(svgUrl);
     URL.revokeObjectURL(svgUrl);
+
+    // Capture color ramp legend (e.g. choropleth scale) if present
+    const rampSvg = block.querySelector('svg[class*="-ramp"]');
+    let rampImg = null,
+      rampW = 0,
+      rampH = 0;
+    if (rampSvg) {
+      rampW = rampSvg.viewBox?.baseVal?.width || rampSvg.clientWidth || 240;
+      rampH = rampSvg.viewBox?.baseVal?.height || rampSvg.clientHeight || 50;
+      // Replace currentColor with light color so text/ticks render on dark background
+      const rampSvgStr = serializer
+        .serializeToString(rampSvg)
+        .replaceAll("currentColor", "#e0e0e0");
+      const rampUrl = URL.createObjectURL(
+        new Blob([rampSvgStr], { type: "image/svg+xml" }),
+      );
+      rampImg = await loadImage(rampUrl);
+      URL.revokeObjectURL(rampUrl);
+    }
+
+    const extraH = rampImg ? rampH + 8 : 0;
     await composeAndDownload(
       svgW,
-      svgH,
-      (ctx, x, y, w, h) => ctx.drawImage(chartImg, x, y, w, h),
+      svgH + extraH,
+      (ctx, x, y, w, h) => {
+        if (rampImg) {
+          ctx.drawImage(rampImg, x, y, rampW, rampH);
+          ctx.drawImage(chartImg, x, y + rampH + 8, w, h - rampH - 8);
+        } else {
+          ctx.drawImage(chartImg, x, y, w, h);
+        }
+      },
       block,
+      swatches,
     );
     return;
   }
@@ -128,15 +229,49 @@ async function downloadChart(block) {
     const rect = mapCanvas.getBoundingClientRect();
     const dataUrl = mapCanvas.toDataURL();
     const mapImg = await loadImage(dataUrl);
+
+    const legendData = mapEl?._wdaLegend;
+    const legendH = legendData ? 38 : 0;
+
     await composeAndDownload(
       rect.width,
-      rect.height,
-      (ctx, x, y, cw, ch) => ctx.drawImage(mapImg, x, y, cw, ch),
+      rect.height + legendH,
+      (ctx, x, y, cw, ch) => {
+        if (legendData) {
+          drawMapLegend(ctx, x, y, cw, legendData);
+          ctx.drawImage(mapImg, x, y + legendH, cw, ch - legendH);
+        } else {
+          ctx.drawImage(mapImg, x, y, cw, ch);
+        }
+      },
       block,
+      swatches,
     );
   }
 }
 
+function drawMapLegend(ctx, x, y, w, { label, ticks, colors }) {
+  const barW = Math.min(240, w);
+
+  ctx.font = "11px sans-serif";
+  ctx.fillStyle = "#aaaaaa";
+  ctx.fillText(label, x, y + 11);
+
+  const grad = ctx.createLinearGradient(x, 0, x + barW, 0);
+  colors.forEach((c, i) => grad.addColorStop(i / (colors.length - 1), c));
+  ctx.fillStyle = grad;
+  ctx.beginPath();
+  ctx.roundRect(x, y + 14, barW, 10, 2);
+  ctx.fill();
+
+  ctx.font = "10px sans-serif";
+  ctx.fillStyle = "#aaaaaa";
+  ticks.forEach((t, i) => {
+    const tx = x + (i / (ticks.length - 1)) * barW;
+    ctx.fillText(t, tx, y + 36);
+  });
+}
+
 function shareChart(block) {
   const title =
     block.querySelector(".wda-chart-title")?.textContent?.trim() || "Chart";
diff --git a/observable/src/data/datasets-stats.json.js b/observable/src/data/datasets-stats.json.js
index c95bf04..4c7c131 100644
--- a/observable/src/data/datasets-stats.json.js
+++ b/observable/src/data/datasets-stats.json.js
@@ -1,5 +1,7 @@
 import { parquetPath, sireneParquets, runDuckDBQuery, toJSON } from "./db.js";
 
+const geonamesCountries = parquetPath("geonames", "countries.parquet");
+
 const vigiloObs = parquetPath("vigilo", "observations.parquet");
 const vigiloScopes = parquetPath("vigilo", "scopes.parquet");
 const sireneEts = sireneParquets();
@@ -55,6 +57,17 @@ const [nafrev2 = {}] = await runDuckDBQuery(
 `,
 );
 
+const [geonames = {}] = await runDuckDBQuery(
+  "datasets-stats-geonames",
+  `
+  SELECT
+    COUNT(*)                                      AS total_countries,
+    COUNT(DISTINCT continent)                     AS total_continents,
+    SUM(population)                               AS total_population
+  FROM read_parquet('${geonamesCountries}')
+`,
+);
+
 process.stdout.write(
   toJSON([
     {
@@ -77,5 +90,11 @@ process.stdout.write(
       total_classes: Number(nafrev2.total_classes ?? 0),
       total_sous_classes: Number(nafrev2.total_sous_classes ?? 0),
     },
+    {
+      id: "geonames",
+      total_countries: Number(geonames.total_countries ?? 0),
+      total_continents: Number(geonames.total_continents ?? 0),
+      total_population: Number(geonames.total_population ?? 0),
+    },
   ]),
 );
diff --git a/observable/src/data/db.js b/observable/src/data/db.js
index 1c44a78..3a80ac5 100644
--- a/observable/src/data/db.js
+++ b/observable/src/data/db.js
@@ -23,13 +23,13 @@ export const toJSON = (v) =>
 
 // Returns parquet URL for a given provider and file (relative to raw/).
 // Priority: local path > R2 > GitHub releases
-export function parquetPath(provider, file) {
+export function parquetPath(provider, file, subdir = "raw") {
   if (process.env.WDA_DATASET_PATH) {
     return path
-      .join(process.env.WDA_DATASET_PATH, provider, "raw", file)
+      .join(process.env.WDA_DATASET_PATH, provider, subdir, file)
       .replace(/\\/g, "/");
   }
-  const flatName = `raw__${file.replace(/\//g, "__")}`;
+  const flatName = `${subdir}__${file.replace(/\//g, "__")}`;
   if (process.env.WDA_PUBLIC_DATASET_URL) {
     return `${process.env.WDA_PUBLIC_DATASET_URL}/${provider}/${flatName}`;
   }
@@ -83,6 +83,49 @@ export function sireneParquets(sections = null) {
   return JSON.stringify(urls);
 }
 
+// Returns { src, ccExpr } for querying allentries parquet partitions.
+// - src: SQL-ready expression for read_parquet(...)
+// - ccExpr: SQL expression that resolves to the country_code value
+//
+// Locally, hive_partitioning=true reconstructs country_code from the path.
+// Remotely, flat-named R2 files (country_code.FR) can't be parsed by DuckDB
+// hive partitioning, so we extract country_code via regexp on the filename.
+export async function allentriesParquets() {
+  if (process.env.WDA_DATASET_PATH) {
+    const glob = path
+      .join(
+        process.env.WDA_DATASET_PATH,
+        "geonames",
+        "raw",
+        "allentries.parquet",
+        "**",
+        "*.parquet",
+      )
+      .replace(/\\/g, "/");
+    return { src: `'${glob}', hive_partitioning=true`, ccExpr: "country_code" };
+  }
+  const base = process.env.WDA_PUBLIC_DATASET_URL
+    ? `${process.env.WDA_PUBLIC_DATASET_URL}/geonames`
+    : "https://github.com/badele/world-datas-analysis/releases/download/dataset-geonames";
+  const manifestUrl = process.env.WDA_PUBLIC_DATASET_URL
+    ? `${process.env.WDA_PUBLIC_DATASET_URL}/geonames/manifest-geonames.json`
+    : null;
+  if (manifestUrl) {
+    const manifest = await fetch(manifestUrl)
+      .then((r) => r.json())
+      .catch(() => ({}));
+    const urls = Object.keys(manifest)
+      .filter((k) => k.startsWith("raw__allentries.parquet__"))
+      .map((k) => `${base}/${k}`);
+    if (urls.length) {
+      // flat-name format: raw__allentries.parquet__country_code.FR__data_0.parquet
+      const ccExpr = `regexp_extract(filename, 'country_code\\.([A-Z]+)__', 1)`;
+      return { src: `${JSON.stringify(urls)}, filename=true`, ccExpr };
+    }
+  }
+  return null;
+}
+
 export async function runDuckDBQuery(name, sql) {
   return new Promise((resolve) => {
     const db = new Database.Database(":memory:");
diff --git a/observable/src/data/geonames-allentries-summary.json.js b/observable/src/data/geonames-allentries-summary.json.js
new file mode 100644
index 0000000..d9ac686
--- /dev/null
+++ b/observable/src/data/geonames-allentries-summary.json.js
@@ -0,0 +1,136 @@
+import {
+  allentriesParquets,
+  parquetPath,
+  runDuckDBQuery,
+  toJSON,
+} from "./db.js";
+import { existsSync } from "fs";
+import { fileURLToPath } from "url";
+import path from "path";
+
+// Observable dev server runs from observable/, so resolve from this script's location
+// (observable/src/data/) up to the project root (../../../)
+const projectRoot = path.resolve(
+  path.dirname(fileURLToPath(import.meta.url)),
+  "../../..",
+);
+
+// ── Primary path: 3 pre-aggregated parquets (generated by `just update`) ────
+// These are 3 small R2 requests, avoiding the 388-file fan-out that causes HTTP 429.
+const statsParquet = parquetPath(
+  "geonames",
+  "allentries-stats.parquet",
+  "observable",
+);
+const featureCodesParquet = parquetPath(
+  "geonames",
+  "allentries-feature-codes.parquet",
+  "observable",
+);
+const capitalsParquet = parquetPath(
+  "geonames",
+  "allentries-capitals.parquet",
+  "observable",
+);
+
+const [statsRows, featureRows, capitalsRows] = await Promise.all([
+  runDuckDBQuery(
+    "allentries-stats",
+    `SELECT * FROM read_parquet(${JSON.stringify(statsParquet)})`,
+  ),
+  runDuckDBQuery(
+    "allentries-feature-codes",
+    `SELECT * FROM read_parquet(${JSON.stringify(featureCodesParquet)})`,
+  ),
+  runDuckDBQuery(
+    "allentries-capitals",
+    `SELECT * FROM read_parquet(${JSON.stringify(
+      capitalsParquet,
+    )}) ORDER BY population DESC NULLS LAST`,
+  ),
+]);
+
+// If the pre-aggregated parquets exist and returned data, use them directly.
+if (statsRows.length > 0 && capitalsRows.length > 0) {
+  process.stdout.write(
+    toJSON({
+      stats: statsRows[0] ?? {},
+      feature_codes: featureRows,
+      capitals: capitalsRows,
+    }),
+  );
+  process.exit(0);
+}
+
+// ── Fallback: full scan ──────────────────────────────────────────────────────
+// Used during local dev before `just update` has run, or on old releases that
+// predate the pre-aggregated parquets.
+
+let fromExpr, ccExpr;
+
+const rawFile = path.join(
+  projectRoot,
+  "downloaded",
+  "geonames",
+  "allCountries.txt",
+);
+const parquetResult = await allentriesParquets();
+
+if (parquetResult && process.env.WDA_DATASET_PATH) {
+  fromExpr = `read_parquet(${parquetResult.src})`;
+  ccExpr = parquetResult.ccExpr;
+} else if (existsSync(rawFile)) {
+  const cols =
+    `{'id':'INTEGER','name':'VARCHAR','asciiname':'VARCHAR','alternatenames':'VARCHAR',` +
+    `'latitude':'DOUBLE','longitude':'DOUBLE','feature_class':'VARCHAR','feature_code':'VARCHAR',` +
+    `'country_code':'VARCHAR','cc2':'VARCHAR','admin1_code':'VARCHAR','admin2_code':'VARCHAR',` +
+    `'admin3_code':'VARCHAR','admin4_code':'VARCHAR','population':'BIGINT',` +
+    `'elevation':'INTEGER','dem':'INTEGER','timezone':'VARCHAR','modification':'DATE'}`;
+  fromExpr = `read_csv('${rawFile}', delim='\\t', header=false, quote='', columns=${cols})`;
+  ccExpr = "country_code";
+} else if (parquetResult) {
+  fromExpr = `read_parquet(${parquetResult.src})`;
+  ccExpr = parquetResult.ccExpr;
+} else {
+  process.stdout.write(toJSON({ stats: {}, feature_codes: [], capitals: [] }));
+  process.exit(0);
+}
+
+const [fallbackStats, fallbackFeatures, fallbackCapitals] = await Promise.all([
+  runDuckDBQuery(
+    "allentries-stats",
+    `SELECT
+      COUNT(*)                                                      AS total_entries,
+      COUNT(DISTINCT ${ccExpr})                                     AS total_countries,
+      SUM(CASE WHEN feature_class = 'P' THEN 1 ELSE 0 END)         AS populated_places,
+      SUM(CASE WHEN feature_class = 'A' THEN 1 ELSE 0 END)         AS admin_entries,
+      SUM(CASE WHEN feature_class = 'P' AND population > 0
+               THEN population ELSE 0 END)                         AS total_population
+    FROM ${fromExpr}`,
+  ),
+  runDuckDBQuery(
+    "allentries-feature-codes",
+    `SELECT feature_code, COUNT(*) AS count
+    FROM ${fromExpr}
+    WHERE feature_class = 'P'
+    GROUP BY feature_code
+    ORDER BY count DESC
+    LIMIT 15`,
+  ),
+  runDuckDBQuery(
+    "allentries-capitals",
+    `SELECT name, ${ccExpr} AS country_code, population, latitude, longitude
+    FROM ${fromExpr}
+    WHERE feature_code = 'PPLC'
+      AND latitude IS NOT NULL AND longitude IS NOT NULL
+    ORDER BY population DESC NULLS LAST`,
+  ),
+]);
+
+process.stdout.write(
+  toJSON({
+    stats: fallbackStats[0] ?? {},
+    feature_codes: fallbackFeatures,
+    capitals: fallbackCapitals,
+  }),
+);
diff --git a/observable/src/data/geonames-countries.json.js b/observable/src/data/geonames-countries.json.js
new file mode 100644
index 0000000..e98eab3
--- /dev/null
+++ b/observable/src/data/geonames-countries.json.js
@@ -0,0 +1,16 @@
+import { runDuckDBLoader, parquetPath, toJSON } from "./db.js";
+
+const countries = parquetPath("geonames", "countries.parquet");
+
+try {
+  await runDuckDBLoader(
+    "geonames-countries",
+    `SELECT iso, iso3, iso_numeric, country, capital, continent, population, area_km2,
+            currency_code, currency_name, tld, languages, phone_prefix,
+            neighbours, geonameid
+     FROM read_parquet(${JSON.stringify(countries)})
+     ORDER BY country`,
+  );
+} catch {
+  process.stdout.write(toJSON([]));
+}
diff --git a/observable/src/geonames-allentries.md b/observable/src/geonames-allentries.md
new file mode 100644
index 0000000..4776397
--- /dev/null
+++ b/observable/src/geonames-allentries.md
@@ -0,0 +1,287 @@
+---
+title: GeoNames — Lieux géographiques
+---
+
+```js
+import * as maplibregl from "npm:maplibre-gl";
+import { fixGeometry } from "./components/geonames-map.js";
+import {
+  initChartActions,
+  initBlockActions,
+} from "./components/wda-chart-actions.js";
+```
+
+```js
+const summary = await FileAttachment(
+  "data/geonames-allentries-summary.json",
+).json();
+const countries = await FileAttachment("data/geonames-countries.json").json();
+```
+
+```js
+const { stats, feature_codes, capitals } = summary;
+const countryName = new Map(countries.map((d) => [d.iso, d.country]));
+
+const fmtN = (n) => (n != null ? Number(n).toLocaleString("fr-FR") : "—");
+
+const FEATURE_CODE_LABELS = {
+  PPLC: "Capitale nationale",
+  PPLA: "Chef-lieu régional (ADM1)",
+  PPLA2: "Chef-lieu de département (ADM2)",
+  PPLA3: "Chef-lieu d'arrondissement (ADM3)",
+  PPLA4: "Chef-lieu (ADM4)",
+  PPLA5: "Chef-lieu (ADM5)",
+  PPL: "Lieu habité (village, hameau…)",
+  PPLX: "Section ou quartier d'un lieu habité",
+  PPLF: "Village rural",
+  PPLL: "Lieu habité lacustre",
+  PPLQ: "Lieu habité abandonné",
+  PPLR: "Lieu habité religieux",
+  PPLS: "Lieu habité saisonnier",
+  PPLW: "Lieu habité détruit ou englouti",
+  PPLH: "Lieu habité historique",
+  PPLCH: "Siège de collectivité",
+  PPLG: "Siège de gouvernement",
+  STLMT: "Lieu habité (variante)",
+};
+```
+
+<div class="page-header">
+  <div class="breadcrumb"><a href="./">Accueil</a> › <a href="geonames">GeoNames</a> › Lieux géographiques</div>
+  <h1>GeoNames — Lieux géographiques</h1>
+  <p class="page-subtitle">Référentiel mondial des lieux habités et zones administratives — capitales, villes, villages et subdivisions pour ${fmtN(stats.total_countries)} pays.</p>
+</div>
+
+## Vue d'ensemble
+
+<div class="stat-grid">
+  <div class="stat-card">
+    <div class="stat-value">${fmtN(stats.total_entries)}</div>
+    <div class="stat-label">Entrées totales</div>
+  </div>
+  <div class="stat-card">
+    <div class="stat-value">${fmtN(stats.populated_places)}</div>
+    <div class="stat-label">Lieux habités (classe P)</div>
+  </div>
+  <div class="stat-card">
+    <div class="stat-value">${fmtN(stats.admin_entries)}</div>
+    <div class="stat-label">Zones admin. (classe A)</div>
+  </div>
+  <div class="stat-card">
+    <div class="stat-value">${fmtN(stats.total_countries)}</div>
+    <div class="stat-label">Pays couverts</div>
+  </div>
+</div>
+
+## Capitales mondiales
+
+Les ${fmtN(capitals.length)} capitales nationales (`feature_code = PPLC`) géolocalisées dans le référentiel, affichées sur une carte mondiale. La taille des cercles est proportionnelle à la population.
+
+```js
+{
+  const mapBlock = document.createElement("div");
+  mapBlock.className = "wda-chart-block";
+
+  const titleEl = document.createElement("p");
+  titleEl.className = "wda-chart-title";
+  titleEl.textContent = "Capitales mondiales";
+
+  const subtitleEl = document.createElement("p");
+  subtitleEl.className = "wda-chart-subtitle";
+  subtitleEl.textContent = `${capitals.length} capitales géolocalisées — cercles proportionnels à la population. Zoomez et déplacez la carte.`;
+
+  const mapDiv = document.createElement("div");
+  mapDiv.className = "vigilo-map";
+
+  const sourceEl = document.createElement("p");
+  sourceEl.className = "wda-chart-source";
+  sourceEl.innerHTML =
+    `Source : <a href="dataset/geonames">Dataset GeoNames</a> — données publiées par ` +
+    `<a href="https://www.geonames.org/" target="_blank">GeoNames.org</a>.`;
+
+  mapBlock.append(titleEl, subtitleEl, mapDiv, sourceEl);
+  display(mapBlock);
+  initBlockActions(mapBlock);
+
+  // MapLibre map with circle markers sized by population
+  maplibregl.setWorkerUrl(
+    "https://unpkg.com/maplibre-gl@6.12.0/dist/maplibre-gl-worker.mjs",
+  );
+
+  const popValues = capitals.map((d) => d.population).filter((p) => p > 0);
+  const popMax = Math.max(...popValues);
+
+  const geojson = {
+    type: "FeatureCollection",
+    features: capitals.map((d) => ({
+      type: "Feature",
+      geometry: { type: "Point", coordinates: [d.longitude, d.latitude] },
+      properties: {
+        name: d.name,
+        country_code: d.country_code,
+        country: countryName.get(d.country_code) ?? d.country_code,
+        population: d.population ?? 0,
+        // radius 4–20px proportional to sqrt(population) for visual balance
+        radius:
+          d.population > 0
+            ? Math.max(
+                4,
+                Math.min(20, 4 + 16 * Math.sqrt(d.population / popMax)),
+              )
+            : 4,
+      },
+    })),
+  };
+
+  const map = new maplibregl.Map({
+    container: mapDiv,
+    style: {
+      version: 8,
+      sources: {},
+      layers: [
+        {
+          id: "background",
+          type: "background",
+          paint: { "background-color": "#d4e9f7" },
+        },
+      ],
+      projection: { type: "globe" },
+    },
+    center: [10, 20],
+    zoom: 1.2,
+    minZoom: 0.5,
+    maxZoom: 10,
+    preserveDrawingBuffer: true,
+    attributionControl: false,
+  });
+
+  mapDiv._wdaMap = map;
+
+  await new Promise((resolve) => map.on("load", resolve));
+
+  // Load world borders from world-atlas (same source as choropleth maps)
+  const { feature } = await import(
+    "https://cdn.jsdelivr.net/npm/topojson-client@3/+esm"
+  );
+  const world = await fetch(
+    "https://cdn.jsdelivr.net/npm/world-atlas@2/countries-110m.json",
+  ).then((r) => r.json());
+  const worldGeojson = {
+    ...feature(world, world.objects.countries),
+    features: feature(world, world.objects.countries).features.map((f) => ({
+      ...f,
+      geometry: fixGeometry(f.geometry),
+    })),
+  };
+
+  map.addSource("world", { type: "geojson", data: worldGeojson });
+  map.addLayer({
+    id: "countries-fill",
+    type: "fill",
+    source: "world",
+    paint: { "fill-color": "#e8f0f7", "fill-opacity": 0.8 },
+  });
+  map.addLayer({
+    id: "countries-border",
+    type: "line",
+    source: "world",
+    paint: { "line-color": "#aabbcc", "line-width": 0.5, "line-opacity": 0.8 },
+  });
+
+  map.addSource("capitals", { type: "geojson", data: geojson });
+
+  map.addLayer({
+    id: "capitals-circle",
+    type: "circle",
+    source: "capitals",
+    paint: {
+      "circle-radius": ["get", "radius"],
+      "circle-color": "#0c2c84",
+      "circle-opacity": 0.75,
+      "circle-stroke-width": 1,
+      "circle-stroke-color": "#ffffff",
+    },
+  });
+
+  // Dark popup (reuse geonames style)
+  if (!document.getElementById("wda-geonames-popup-style")) {
+    const style = document.createElement("style");
+    style.id = "wda-geonames-popup-style";
+    style.textContent = `
+      .wda-geonames-popup .maplibregl-popup-content {
+        background: #000; color: #e0e0e0;
+        padding: 6px 10px; border-radius: 4px; font-size: 13px; line-height: 1.4;
+      }
+      .wda-geonames-popup .maplibregl-popup-tip { border-top-color: #000; border-bottom-color: #000; }
+    `;
+    document.head.appendChild(style);
+  }
+
+  const popup = new maplibregl.Popup({
+    closeButton: false,
+    closeOnClick: false,
+    maxWidth: "200px",
+    className: "wda-geonames-popup",
+  });
+
+  map.on("mousemove", "capitals-circle", (e) => {
+    map.getCanvas().style.cursor = "pointer";
+    const p = e.features[0].properties;
+    const pop =
+      p.population > 0
+        ? `${Number(p.population).toLocaleString("fr-FR")} hab.`
+        : "—";
+    popup
+      .setLngLat(e.lngLat)
+      .setHTML(`<strong>${p.name}</strong><br>${p.country}<br>${pop}`)
+      .addTo(map);
+  });
+
+  map.on("mouseleave", "capitals-circle", () => {
+    map.getCanvas().style.cursor = "";
+    popup.remove();
+  });
+
+  invalidation.then(() => map.remove());
+}
+```
+
+## Dictionnaire des types de lieux
+
+Définition des `feature_code` pour la classe P (lieux habités) utilisés dans le référentiel.
+
+```js
+display(
+  html`<table class="wda-table">
+    <thead>
+      <tr>
+        <th>Code</th>
+        <th>Description</th>
+        <th class="num">Entrées</th>
+      </tr>
+    </thead>
+    <tbody>
+      ${feature_codes.map(
+        (d) =>
+          html`<tr>
+            <td><code>${d.feature_code}</code></td>
+            <td>${FEATURE_CODE_LABELS[d.feature_code] ?? d.feature_code}</td>
+            <td class="num">${Number(d.count).toLocaleString("fr-FR")}</td>
+          </tr>`,
+      )}
+    </tbody>
+  </table>`,
+);
+```
+
+<div class="source-note">
+  Source : <a href="dataset/geonames">Dataset GeoNames</a> — données publiées par <a href="https://www.geonames.org/" target="_blank">GeoNames.org</a> sous licence Creative Commons Attribution 4.0.
+</div>
+
+<div class="see-also">
+  <h3>Voir aussi</h3>
+  <div class="see-also-links">
+    <a class="see-also-link" href="geonames">🌍 Explorer les pays</a>
+    <a class="see-also-link" href="dataset/geonames">📋 Dataset GeoNames</a>
+  </div>
+</div>
diff --git a/observable/src/geonames.md b/observable/src/geonames.md
new file mode 100644
index 0000000..356671c
--- /dev/null
+++ b/observable/src/geonames.md
@@ -0,0 +1,259 @@
+---
+title: GeoNames — Référentiel géographique mondial
+---
+
+```js
+import * as Inputs from "npm:@observablehq/inputs";
+import { createGeonamesMap } from "./components/geonames-map.js";
+import {
+  initChartActions,
+  initBlockActions,
+} from "./components/wda-chart-actions.js";
+```
+
+```js
+const countries = await FileAttachment("data/geonames-countries.json").json();
+```
+
+```js
+const CONTINENT_NAMES = {
+  AF: "Afrique",
+  AS: "Asie",
+  EU: "Europe",
+  NA: "Amérique du Nord",
+  OC: "Océanie",
+  SA: "Amérique du Sud",
+  AN: "Antarctique",
+};
+
+const fmtPop = (n) =>
+  n != null && n > 0 ? Number(n).toLocaleString("fr-FR") : "—";
+const fmtArea = (n) =>
+  n != null && n > 0
+    ? Number(n).toLocaleString("fr-FR", { maximumFractionDigits: 0 }) + " km²"
+    : "—";
+
+const nbCountries = countries.length;
+const nbContinents = new Set(countries.map((d) => d.continent)).size;
+const totalPop = countries.reduce((s, d) => s + (d.population ?? 0), 0);
+```
+
+<div class="page-header">
+  <div class="breadcrumb"><a href="./">Accueil</a> › GeoNames</div>
+  <h1>GeoNames — Référentiel géographique mondial</h1>
+  <p class="page-subtitle">Base de données mondiale des pays et entités géographiques, maintenue par GeoNames.org et utilisée comme référentiel de géolocalisation dans ce projet.</p>
+</div>
+
+## Vue d'ensemble
+
+<div class="stat-grid">
+  <div class="stat-card">
+    <div class="stat-value">${nbCountries}</div>
+    <div class="stat-label">Pays / territoires</div>
+  </div>
+  <div class="stat-card">
+    <div class="stat-value">${nbContinents}</div>
+    <div class="stat-label">Continents</div>
+  </div>
+  <div class="stat-card">
+    <div class="stat-value">${totalPop.toLocaleString("fr-FR")}</div>
+    <div class="stat-label">Population totale</div>
+  </div>
+</div>
+
+Répartition de la population mondiale par pays, visualisée sur une carte choroplèthe.
+
+<div class="wda-note">
+  L'échelle de couleur est logarithmique : les petits pays restent visibles malgré les écarts extrêmes entre micro-États et géants démographiques (Chine, Inde).
+</div>
+
+```js
+{
+  const mapBlock = document.createElement("div");
+  mapBlock.className = "wda-chart-block";
+
+  const titleEl = document.createElement("p");
+  titleEl.className = "wda-chart-title";
+  titleEl.textContent = "Population par pays";
+
+  const subtitleEl = document.createElement("p");
+  subtitleEl.className = "wda-chart-subtitle";
+  subtitleEl.textContent =
+    "Densité de population relative — échelle logarithmique. Zoomez et déplacez la carte.";
+
+  const mapDiv = document.createElement("div");
+  mapDiv.className = "vigilo-map";
+
+  const sourceEl = document.createElement("p");
+  sourceEl.className = "wda-chart-source";
+  sourceEl.innerHTML =
+    `Source : <a href="dataset/geonames">Dataset GeoNames</a> — données publiées par ` +
+    `<a href="https://www.geonames.org/" target="_blank">GeoNames.org</a>, fond de carte ` +
+    `<a href="https://github.com/topojson/world-atlas" target="_blank">world-atlas</a>.`;
+
+  mapBlock.append(titleEl, subtitleEl, mapDiv, sourceEl);
+  display(mapBlock);
+  initBlockActions(mapBlock);
+
+  const map = await createGeonamesMap(mapDiv, countries);
+  invalidation.then(() => map.remove());
+}
+```
+
+Densité de population par pays (habitants par km²), sur la même échelle logarithmique.
+
+<div class="wda-note">
+  Les micro-États très denses (Monaco, Singapour, Bahreïn) dominent l'échelle ; les grands pays peu peuplés (Mongolie, Namibie, Australie) apparaissent en clair.
+</div>
+
+```js
+{
+  const mapBlock = document.createElement("div");
+  mapBlock.className = "wda-chart-block";
+
+  const titleEl = document.createElement("p");
+  titleEl.className = "wda-chart-title";
+  titleEl.textContent = "Densité de population par pays";
+
+  const subtitleEl = document.createElement("p");
+  subtitleEl.className = "wda-chart-subtitle";
+  subtitleEl.textContent =
+    "Habitants par km² — échelle logarithmique. Zoomez et déplacez la carte.";
+
+  const mapDiv = document.createElement("div");
+  mapDiv.className = "vigilo-map";
+
+  const sourceEl = document.createElement("p");
+  sourceEl.className = "wda-chart-source";
+  sourceEl.innerHTML =
+    `Source : <a href="dataset/geonames">Dataset GeoNames</a> — données publiées par ` +
+    `<a href="https://www.geonames.org/" target="_blank">GeoNames.org</a>, fond de carte ` +
+    `<a href="https://github.com/topojson/world-atlas" target="_blank">world-atlas</a>.`;
+
+  mapBlock.append(titleEl, subtitleEl, mapDiv, sourceEl);
+  display(mapBlock);
+  initBlockActions(mapBlock);
+
+  const map = await createGeonamesMap(mapDiv, countries, { metric: "density" });
+  invalidation.then(() => map.remove());
+}
+```
+
+## Explorer les pays
+
+<div class="filter-bar">
+
+<button class="filter-reset-btn" onclick="window.location.href = window.location.pathname" title="Réinitialiser tous les filtres">✕ Réinitialiser</button>
+
+```js
+const searched = view(
+  Inputs.search(countries, {
+    label: "Recherche",
+    placeholder: "Pays, capitale, devise, code ISO…",
+    columns: ["iso", "iso3", "country", "capital", "currency_name", "tld"],
+  }),
+);
+```
+
+```js
+const continentOptions = [
+  null,
+  ...[...new Set(searched.map((d) => d.continent))]
+    .filter(Boolean)
+    .sort((a, b) =>
+      (CONTINENT_NAMES[a] ?? a).localeCompare(CONTINENT_NAMES[b] ?? b),
+    ),
+];
+const selectedContinent = view(
+  Inputs.select(continentOptions, {
+    label: "Continent",
+    value: null,
+    format: (v) =>
+      v === null ? "— Tous —" : `${CONTINENT_NAMES[v] ?? v} (${v})`,
+  }),
+);
+```
+
+</div>
+
+```js
+const filtered =
+  selectedContinent === null
+    ? searched
+    : searched.filter((d) => d.continent === selectedContinent);
+```
+
+```js
+{
+  const n = filtered.length;
+  const isFiltered = n < countries.length;
+  const popFiltered = filtered.reduce((s, d) => s + (d.population ?? 0), 0);
+
+  display(
+    html`<div
+      class="results-card ${isFiltered ? "results-card--filtered" : ""}"
+    >
+      <div class="results-card-count">
+        <span class="results-card-number">${n.toLocaleString("fr-FR")}</span>
+        <span class="results-card-unit"> pay${n > 1 ? "s" : ""}</span>
+        ${isFiltered
+          ? html`<span class="results-card-total"
+              >sur ${countries.length}</span
+            >`
+          : ""}
+      </div>
+      <div class="results-card-breakdown">
+        <span>Population : ${popFiltered.toLocaleString("fr-FR")}</span>
+      </div>
+    </div>`,
+  );
+}
+```
+
+```js
+display(
+  html`<table class="wda-table">
+    <thead>
+      <tr>
+        <th>ISO</th>
+        <th>Pays</th>
+        <th>Capitale</th>
+        <th>Continent</th>
+        <th class="num">Population</th>
+        <th class="num">Superficie</th>
+        <th>Devise</th>
+        <th>Domaine</th>
+      </tr>
+    </thead>
+    <tbody>
+      ${filtered.map(
+        (d) =>
+          html`<tr>
+            <td><code>${d.iso}</code></td>
+            <td>${d.country}</td>
+            <td>${d.capital || "—"}</td>
+            <td title="${d.continent}">
+              ${CONTINENT_NAMES[d.continent] ?? d.continent ?? "—"}
+            </td>
+            <td class="num">${fmtPop(d.population)}</td>
+            <td class="num">${fmtArea(d.area_km2)}</td>
+            <td>${d.currency_name || "—"}</td>
+            <td>${d.tld || "—"}</td>
+          </tr>`,
+      )}
+    </tbody>
+  </table>`,
+);
+```
+
+<div class="source-note">
+  Source : <a href="dataset/geonames">Dataset GeoNames</a> — données publiées par <a href="https://www.geonames.org/" target="_blank">GeoNames.org</a> sous licence Creative Commons Attribution 4.0.
+</div>
+
+<div class="see-also">
+  <h3>Voir aussi</h3>
+  <div class="see-also-links">
+    <a class="see-also-link" href="sirene">🏢 Établissements SIRENE géolocalisés</a>
+    <a class="see-also-link" href="dataset/geonames">📋 Dataset GeoNames</a>
+  </div>
+</div>
diff --git a/observable/src/index.md b/observable/src/index.md
index ce79a80..0179398 100644
--- a/observable/src/index.md
+++ b/observable/src/index.md
@@ -12,6 +12,7 @@ const statsById = Object.fromEntries(stats.map((d) => [d.id, d]));
 const v = statsById.vigilo ?? {};
 const s = statsById.sirene ?? {};
 const n = statsById.nafrev2 ?? {};
+const g = statsById.geonames ?? {};
 
 const fmtN = (x) => (x != null ? Number(x).toLocaleString("fr-FR") : "—");
 const fmtDate = (ts) =>
@@ -20,7 +21,8 @@ const fmtDate = (ts) =>
 const totalObs =
   (v.total_obs ?? 0) +
   (s.total_etablissements ?? 0) +
-  (n.total_sous_classes ?? 0);
+  (n.total_sous_classes ?? 0) +
+  (g.total_countries ?? 0);
 
 const DATASETS = [
   {
@@ -73,6 +75,21 @@ const DATASETS = [
       { label: "Divisions", value: fmtN(n.total_divisions) },
     ],
   },
+  {
+    id: "geonames",
+    icon: "🌍",
+    title: "GeoNames — Référentiel géographique mondial",
+    description:
+      "Base de données mondiale des pays et entités géographiques, publiée sous licence CC BY 4.0. Utilisée comme référentiel de géolocalisation pour relier les autres datasets du projet.",
+    theme: "Référentiel",
+    source: "GeoNames.org",
+    exploreUrl: "geonames",
+    datasetUrl: "dataset/geonames",
+    keyStats: [
+      { label: "Pays / territoires", value: fmtN(g.total_countries) },
+      { label: "Continents", value: fmtN(g.total_continents) },
+    ],
+  },
 ];
 ```