Datasets:

bamwor
/

world-cities

geoname_id int64 14.3k 13.6M	name stringlengths 2 40	country_code stringclasses 170 values	population int64 100k 24.9M	latitude float64 -53.16 69.4	longitude float64 -157.86 176	timezone stringclasses 262 values	elevation int64 0 2.8k ⌀	feature_code stringclasses 12 values
1,796,236	Shanghai	CN	24,874,500	31.22222	121.45806	Asia/Shanghai	null	PPLA
1,816,670	Beijing	CN	18,960,744	39.9075	116.39723	Asia/Shanghai	null	PPLC
1,795,565	Shenzhen	CN	17,494,398	22.54554	114.0683	Asia/Shanghai	null	PPLA2
1,809,858	Guangzhou	CN	16,096,724	23.11667	113.25	Asia/Shanghai	null	PPLA
2,314,302	Kinshasa	CD	16,000,000	-4.32758	15.31357	Africa/Kinshasa	null	PPLC
745,044	Istanbul	TR	15,701,602	41.01384	28.94966	Europe/Istanbul	null	PPLA
2,332,459	Lagos	NG	15,388,000	6.45407	3.39467	Africa/Lagos	null	PPLA2
1,566,083	Ho Chi Minh City	VN	14,002,598	10.82302	106.62965	Asia/Ho_Chi_Minh	null	PPL
1,815,286	Chengdu	CN	13,568,357	30.66667	104.06667	Asia/Shanghai	null	PPLA
1,172,451	Lahore	PK	13,004,135	31.558	74.35071	Asia/Karachi	null	PPLA
1,275,339	Mumbai	IN	12,691,836	19.07283	72.88261	Asia/Kolkata	null	PPLA
3,448,439	Sao Paulo	BR	12,400,232	-23.5475	-46.63611	America/Sao_Paulo	null	PPLA
3,530,597	Mexico City	MX	12,294,193	19.42847	-99.12766	America/Mexico_City	null	PPLC
1,174,872	Karachi	PK	11,624,219	24.8608	67.0104	Asia/Karachi	null	PPLA
1,792,947	Tianjin	CN	11,090,314	39.14222	117.17667	Asia/Shanghai	null	PPLA
1,273,294	Delhi	IN	11,034,555	28.65195	77.23149	Asia/Kolkata	null	PPLA
1,791,247	Wuhan	CN	10,392,693	30.58333	114.26667	Asia/Shanghai	null	PPLA
524,901	Moscow	RU	10,381,222	55.75204	37.61781	Europe/Moscow	null	PPLC
1,185,241	Dhaka	BD	10,356,500	23.7104	90.40744	Asia/Dhaka	null	PPLC
1,835,848	Seoul	KR	10,349,312	37.566	126.9784	Asia/Seoul	null	PPLC
1,850,147	Tokyo	JP	9,733,276	35.6895	139.69171	Asia/Tokyo	null	PPLC
1,812,545	Dongguan	CN	9,644,871	23.01797	113.74866	Asia/Shanghai	null	PPLA2
360,630	Cairo	EG	9,606,916	30.06263	31.24967	Africa/Cairo	null	PPLC
1,790,630	Xi'an	CN	9,600,000	34.25833	108.92861	Asia/Shanghai	null	PPLA
993,800	Johannesburg	ZA	9,418,183	-26.20227	28.04363	Africa/Johannesburg	null	PPLA
1,799,962	Nanjing	CN	9,314,685	32.06167	118.77778	Asia/Shanghai	null	PPLA
1,808,926	Hangzhou	CN	9,236,032	30.29365	120.16142	Asia/Shanghai	null	PPLA
1,811,103	Foshan	CN	9,042,509	23.02677	113.13148	Asia/Shanghai	null	PPLA2
2,643,743	London	GB	8,961,989	51.50853	-0.12574	Europe/London	null	PPLC
5,128,581	New York City	US	8,804,190	40.71427	-74.00597	America/New_York	10	PPL
1,642,911	Jakarta	ID	8,540,121	-6.21462	106.84513	Asia/Jakarta	null	PPLC
1,277,333	Bengaluru	IN	8,495,492	12.97194	77.59369	Asia/Kolkata	920	PPLA
1,581,130	Hanoi	VN	8,053,663	21.0245	105.84117	Asia/Bangkok	null	PPLC
1,668,341	Taipei	TW	7,871,900	25.05306	121.52639	Asia/Taipei	null	PPLC
3,936,456	Lima	PE	7,737,002	-12.04318	-77.02824	America/Lima	null	PPLC
3,688,689	Bogota	CO	7,674,366	4.60971	-74.08175	America/Bogota	null	PPLC
1,814,906	Chongqing	CN	7,457,599	29.56026	106.55771	Asia/Shanghai	null	PPLA
1,819,729	Hong Kong	HK	7,396,076	22.27832	114.17469	Asia/Hong_Kong	null	PPLC
98,182	Baghdad	IQ	7,216,000	33.34058	44.40088	Asia/Baghdad	null	PPLC
1,797,929	Qingdao	CN	7,172,451	36.06488	120.38042	Asia/Shanghai	null	PPLA2
112,931	Tehran	IR	7,153,309	35.69439	51.42151	Asia/Tehran	null	PPLC
2,034,937	Shenyang	CN	7,050,000	41.79222	123.43278	Asia/Shanghai	null	PPLA
1,269,843	Hyderabad	IN	6,993,262	17.38405	78.45636	Asia/Kolkata	null	PPLA
3,451,190	Rio de Janeiro	BR	6,747,815	-22.90642	-43.18223	America/Sao_Paulo	null	PPLA
1,886,760	Suzhou	CN	6,715,559	31.30408	120.59538	Asia/Shanghai	null	PPLA2
1,279,233	Ahmedabad	IN	6,357,693	23.02579	72.58727	Asia/Kolkata	null	PPL
2,293,538	Abidjan	CI	6,321,017	5.35444	-4.00167	Africa/Abidjan	null	PPLA
1,880,252	Singapore	SG	5,638,700	1.28967	103.85007	Asia/Singapore	null	PPLC
2,147,714	Sydney	AU	5,557,233	-33.86785	151.20732	Australia/Sydney	null	PPLA
160,263	Dar es Salaam	TZ	5,383,728	-6.82349	39.26951	Africa/Dar_es_Salaam	null	PPLA
498,817	Saint Petersburg	RU	5,351,935	59.93863	30.31413	Europe/Moscow	null	PPLA
2,158,177	Melbourne	AU	5,350,705	-37.814	144.96332	Australia/Melbourne	null	PPLA
361,058	Alexandria	EG	5,263,542	31.20176	29.91582	Africa/Cairo	null	PPLA
2,037,013	Harbin	CN	5,242,897	45.75	126.65	Asia/Shanghai	null	PPLA
1,609,350	Bangkok	TH	5,104,476	13.75398	100.50144	Asia/Bangkok	null	PPLC
1,808,722	Hefei	CN	5,050,000	31.86389	117.28083	Asia/Shanghai	null	PPLA
1,814,087	Dalian	CN	4,913,879	38.91222	121.60222	Asia/Shanghai	null	PPL
2,335,204	Kano	NG	4,910,000	12.00012	8.51672	Africa/Lagos	null	PPLA
3,871,336	Santiago	CL	4,837,295	-33.45694	-70.64827	America/Santiago	null	PPLC
3,369,157	Cape Town	ZA	4,772,846	-33.92584	18.42322	Africa/Johannesburg	null	PPLA
1,168,197	Peshawar	PK	4,758,762	34.008	71.57849	Asia/Karachi	null	PPLA
2,038,180	Changchun	CN	4,714,996	43.88	125.32278	Asia/Shanghai	null	PPLA
105,343	Jeddah	SA	4,697,000	21.49012	39.18624	Asia/Riyadh	null	PPL
1,264,527	Chennai	IN	4,681,087	13.08784	80.27847	Asia/Kolkata	null	PPLA
1,275,004	Kolkata	IN	4,631,392	22.56263	88.36304	Asia/Kolkata	null	PPLA
1,790,645	Xiamen	CN	4,617,251	24.47979	118.08187	Asia/Shanghai	null	PPLA2
1,255,364	Surat	IN	4,591,246	21.19594	72.83023	Asia/Kolkata	null	PPL
1,298,824	Yangon	MM	4,477,638	16.80528	96.15611	Asia/Yangon	null	PPLA
13,308,620	Bao'an	CN	4,476,554	22.55213	113.88288	Asia/Shanghai	null	PPLA3
1,138,958	Kabul	AF	4,434,550	34.52813	69.17233	Asia/Kabul	null	PPLC
184,745	Nairobi	KE	4,397,073	-1.28333	36.81667	Africa/Nairobi	null	PPLC
1,790,923	Wuxi	CN	4,396,835	31.56887	120.28857	Asia/Shanghai	null	PPLA2
360,995	Giza	EG	4,367,343	30.00944	31.20861	Africa/Cairo	null	PPLA
1,805,753	Jinan	CN	4,335,989	36.66833	116.99722	Asia/Shanghai	null	PPLA
1,793,511	Taiyuan	CN	4,303,673	37.86944	112.56028	Asia/Shanghai	null	PPLA
1,784,658	Zhengzhou	CN	4,253,913	34.75778	113.64861	Asia/Shanghai	null	PPLA
2,460,596	Bamako	ML	4,227,569	12.60915	-7.97522	Africa/Bamako	null	PPLC
108,410	Riyadh	SA	4,205,961	24.68773	46.72185	Asia/Riyadh	null	PPLC
12,908,892	New Taipei City	TW	4,004,367	25.06199	121.45703	Asia/Taipei	null	PPL
12,747,063	New Territories	HK	3,984,077	22.42441	114.11095	Asia/Hong_Kong	null	PPLX
1,795,270	Shijiazhuang	CN	3,938,513	38.04139	114.47861	Asia/Shanghai	null	PPLA
1,205,733	Chattogram	BD	3,920,222	22.3384	91.83168	Asia/Dhaka	null	PPLA
344,979	Addis Ababa	ET	3,860,000	9.02497	38.74689	Africa/Addis_Ababa	null	PPLC
1,804,651	Kunming	CN	3,855,346	25.03889	102.71833	Asia/Shanghai	null	PPLA
6,986,104	Zhongshan	CN	3,841,873	22.52306	113.37912	Asia/Shanghai	null	PPLA2
1,799,869	Nanning	CN	3,839,800	22.81667	108.31667	Asia/Shanghai	null	PPLA
1,795,940	Shantou	CN	3,838,900	23.35489	116.67876	Asia/Shanghai	null	PPLA2
5,368,361	Los Angeles	US	3,820,914	34.05223	-118.24368	America/Los_Angeles	89	PPLA2
1,179,400	Faisalabad	PK	3,800,193	31.41554	73.08969	Asia/Karachi	null	PPLA2
292,223	Dubai	AE	3,790,000	25.07725	55.30927	Asia/Dubai	null	PPLA
1,848,354	Yokohama	JP	3,777,491	35.43333	139.65	Asia/Tokyo	null	PPLA
1,810,821	Fuzhou	CN	3,740,000	26.06139	119.30611	Asia/Shanghai	null	PPLA
1,799,397	Ningbo	CN	3,731,203	29.87819	121.54945	Asia/Shanghai	null	PPLA2
2,553,604	Casablanca	MA	3,665,954	33.58831	-7.61138	Africa/Casablanca	null	PPLA
2,339,354	Ibadan	NG	3,649,000	7.37756	3.90591	Africa/Lagos	null	PPLA
1,798,425	Puyang	CN	3,590,000	29.45679	119.88872	Asia/Shanghai	null	PPLA3
323,786	Ankara	TR	3,517,182	39.91987	32.85427	Europe/Istanbul	850	PPLC
1,794,903	Shiyan	CN	3,460,000	32.6475	110.77806	Asia/Shanghai	null	PPLA2
2,950,159	Berlin	DE	3,426,354	52.52437	13.41053	Europe/Berlin	74	PPLC
1,793,346	Tangshan	CN	3,372,102	39.64381	118.18319	Asia/Shanghai	null	PPLA2

End of preview. Expand in Data Studio

World Cities Dataset 2026

Structured dataset of 5,979 cities worldwide with population above 100,000. Includes coordinates, timezone, elevation, and country association.

Fields

Column	Type	Description
geoname_id	int	GeoNames unique identifier
name	string	City name (ASCII English)
country_code	string	ISO 2-letter country code
population	int	City population
latitude	float	Latitude
longitude	float	Longitude
timezone	string	IANA timezone
elevation	int	Elevation in meters (if available)
feature_code	string	GeoNames feature code (PPLC=capital, PPLA=admin center, etc.)

Quick Stats

5,979 cities across 171 countries
Population range: 100,000 to 24,874,500 (Shanghai)
Top countries by city count: China (641), India (534), Brazil (382), US (356), Japan (293)

Usage

from datasets import load_dataset

ds = load_dataset("bamwor/world-cities")
df = ds["train"].to_pandas()

# Top 20 largest cities globally
print(df.nlargest(20, "population")[["name", "country_code", "population"]])

# Cities in Brazil above 500K
brazil = df[(df["country_code"] == "BR") & (df["population"] >= 500000)]
print(brazil.sort_values("population", ascending=False))

What's NOT included (available via API)

13.4M+ cities (this dataset only includes cities >= 100K population)
Multilingual city names (Spanish, Portuguese, Italian)
Administrative region / province names
URL slugs for web integration
Nearby cities search (PostGIS-powered)

Full Data Access

REST API: bamwor.com/developers — free tier: 1,000 requests/day
MCP Server: bamwor-mcp-server — AI agent integration
Complete country data: bamwor/world-countries
GitHub: bamwor-dev/bamwor-mcp-server

Citation

@misc{bamwor2026cities,
  title={World Cities Dataset 2026},
  author={Bamwor},
  year={2026},
  url={https://bamwor.com},
  note={Based on GeoNames, curated by Bamwor}
}