thumb|right|270px|Iwakuni City Hall thumb|right|270px|Kintai Bridge thumb|right|270px|Iwakuni city center is a city located in Yamaguchi Prefecture, Japan. , the city had an estimated population of 127,512 in 65182 households and a population density of 157 persons per km2. The total area of the city is .
Iwakuni is a city in Yamaguchi Prefecture, Japan, with a population of approximately 127,512 people. The city is notable for landmarks like the Kintai Bridge and serves as a regional center in southwestern Japan.
AI-generated from the Wikipedia summary — may contain errors.
{{Infobox settlement | name = Iwakuni | official_name = | native_name = | native_name_lang = ja | settlement_type = City | other_name = | image_skyline = Iwakuni.jpg | imagesize = | image_caption = Iwakuni, including the Kintai Bridge | image_flag = Flag of Iwakuni, Yamaguchi.svg | image_seal = Emblem of Iwakuni, Yamaguchi.svg | seal_type = Emblem | mapframe = yes | mapframe-zoom = 8 | mapframe-point = none | map_alt = | map_caption = Location of Iwakuni in Yamaguchi Prefecture | map_caption1 = | pushpin_map = Japan | pushpin_relief = | pushpin_map_caption = Location in Japan | coordinates = | coordinates_footnotes = 2. The total area is 873.72 km2.
== History == thumb|250px|left|Iwakuni Castle The area of present-day Iwakuni was part of the ancient Suō Province. During the Sengoku period, it was part of the holdings of the Mōri clan: however, after the defeat of the Western Army at the Battle of Sekigahara in 1600, the area around Iwakuni was granted to warlord Kikkawa Hiroie for his role in keeping the Mōri army from participating in the battle and thus preventing the complete attainder of the Mōri holdings under the Tokugawa shogunate. The Kikkawa clan built Iwakuni Castle and the core of the modern city developed from the castle town which arose around its ramparts. Iwakuni Domain had a kokudaka of 60,000 koku, but was regarded as a semi-independent component of Chōshū Domain until the Meiji restoration.
via Wikipedia infobox
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).