id stringlengths 2 72 ⌀ | slug stringlengths 2 72 ⌀ | name stringlengths 2 79 ⌀ | country stringclasses 245
values | region stringlengths 3 36 ⌀ | timezone stringclasses 394
values | lat float64 -54.93 78.2 | lng float64 -179.12 179 | population int64 0 24.9M |
|---|---|---|---|---|---|---|---|---|
sha | shanghai | Shanghai | CN | null | Asia/Shanghai | 31.22 | 121.46 | 24,874,500 |
pek | beijing | Beijing | CN | null | Asia/Shanghai | 39.91 | 116.4 | 18,960,744 |
shenzhen | shenzhen | Shenzhen | CN | Guangdong | Asia/Shanghai | 22.55 | 114.07 | 17,494,398 |
can | guangzhou | Guangzhou | CN | null | Asia/Shanghai | 23.12 | 113.25 | 16,096,724 |
kinshasa | kinshasa | Kinshasa | CD | null | Africa/Kinshasa | -4.33 | 15.31 | 16,000,000 |
ist | istanbul | Istanbul | TR | null | Europe/Istanbul | 41.01 | 28.95 | 15,701,602 |
lagos | lagos | Lagos | NG | null | Africa/Lagos | 6.45 | 3.39 | 15,388,000 |
sgn | hochiminhcity | Ho Chi Minh City | VN | null | Asia/Ho_Chi_Minh | 10.82 | 106.63 | 14,002,598 |
chengdu | chengdu | Chengdu | CN | null | Asia/Shanghai | 30.67 | 104.07 | 13,568,357 |
lahore | lahore | Lahore | PK | null | Asia/Karachi | 31.56 | 74.35 | 13,004,135 |
mumbai | mumbai | Mumbai | IN | null | Asia/Kolkata | 19.07 | 72.88 | 12,691,836 |
sao | saopaulo | São Paulo | BR | null | America/Sao_Paulo | -23.55 | -46.64 | 12,400,232 |
mexicocity | mexicocity | Mexico City | MX | null | America/Mexico_City | 19.43 | -99.13 | 12,294,193 |
karachi | karachi | Karachi | PK | null | Asia/Karachi | 24.86 | 67.01 | 11,624,219 |
tianjin | tianjin | Tianjin | CN | null | Asia/Shanghai | 39.14 | 117.18 | 11,090,314 |
del | delhi | Delhi | IN | null | Asia/Kolkata | 28.65 | 77.23 | 11,034,555 |
wuhan | wuhan | Wuhan | CN | null | Asia/Shanghai | 30.58 | 114.27 | 10,392,693 |
moscow | moscow | Moscow | RU | null | Europe/Moscow | 55.75 | 37.62 | 10,381,222 |
dhaka | dhaka | Dhaka | BD | null | Asia/Dhaka | 23.71 | 90.41 | 10,356,500 |
sel | seoul | Seoul | KR | null | Asia/Seoul | 37.57 | 126.98 | 10,349,312 |
tyo | tokyo | Tokyo | JP | null | Asia/Tokyo | 35.69 | 139.69 | 9,733,276 |
dongguan | dongguan | Dongguan | CN | Guangdong | Asia/Shanghai | 23.02 | 113.75 | 9,644,871 |
cai | cairo | Cairo | EG | null | Africa/Cairo | 30.06 | 31.25 | 9,606,916 |
xian | xian | Xi’an | CN | Shaanxi | Asia/Shanghai | 34.26 | 108.93 | 9,600,000 |
johannesburg | johannesburg | Johannesburg | ZA | null | Africa/Johannesburg | -26.2 | 28.04 | 9,418,183 |
nanjing | nanjing | Nanjing | CN | Jiangsu | Asia/Shanghai | 32.06 | 118.78 | 9,314,685 |
hangzhou | hangzhou | Hangzhou | CN | null | Asia/Shanghai | 30.29 | 120.16 | 9,236,032 |
foshan | foshan | Foshan | CN | Guangdong | Asia/Shanghai | 23.03 | 113.13 | 9,042,509 |
lon | london | London | GB | null | Europe/London | 51.51 | -0.13 | 8,961,989 |
nyc | newyorkcity | New York City | US | null | America/New_York | 40.71 | -74.01 | 8,804,190 |
jkt | jakarta | Jakarta | ID | null | Asia/Jakarta | -6.21 | 106.85 | 8,540,121 |
bengaluru | bengaluru | Bengaluru | IN | null | Asia/Kolkata | 12.97 | 77.59 | 8,495,492 |
hanoi | hanoi | Hanoi | VN | Hanoi | Asia/Bangkok | 21.02 | 105.84 | 8,053,663 |
taipei | taipei | Taipei | TW | null | Asia/Taipei | 25.05 | 121.53 | 7,871,900 |
lima | lima | Lima | PE | null | America/Lima | -12.04 | -77.03 | 7,737,002 |
bogota | bogota | Bogotá | CO | null | America/Bogota | 4.61 | -74.08 | 7,674,366 |
chongqing | chongqing | Chongqing | CN | null | Asia/Shanghai | 29.56 | 106.56 | 7,457,599 |
hkg | hongkong | Hong Kong | HK | null | Asia/Hong_Kong | 22.28 | 114.17 | 7,396,076 |
baghdad | baghdad | Baghdad | IQ | null | Asia/Baghdad | 33.34 | 44.4 | 7,216,000 |
wuzhong | wuzhong | Wuzhong | CN | null | Asia/Shanghai | 37.99 | 106.2 | 7,202,654 |
qingdao | qingdao | Qingdao | CN | null | Asia/Shanghai | 36.06 | 120.38 | 7,172,451 |
tehran | tehran | Tehran | IR | null | Asia/Tehran | 35.69 | 51.42 | 7,153,309 |
shenyang | shenyang | Shenyang | CN | null | Asia/Shanghai | 41.79 | 123.43 | 7,050,000 |
hyderabad | hyderabad | Hyderabad | IN | null | Asia/Kolkata | 17.38 | 78.46 | 6,993,262 |
rio | riodejaneiro | Rio de Janeiro | BR | null | America/Sao_Paulo | -22.91 | -43.18 | 6,747,815 |
suzhou | suzhou | Suzhou | CN | Jiangsu | Asia/Shanghai | 31.3 | 120.6 | 6,715,559 |
ahmedabad | ahmedabad | Ahmedabad | IN | null | Asia/Kolkata | 23.03 | 72.59 | 6,357,693 |
abidjan | abidjan | Abidjan | CI | null | Africa/Abidjan | 5.35 | -4 | 6,321,017 |
pudong | pudong | Pudong | CN | null | Asia/Shanghai | 31.24 | 121.5 | 5,681,512 |
sin | singapore | Singapore | SG | null | Asia/Singapore | 1.29 | 103.85 | 5,638,700 |
syd | sydney | Sydney | AU | null | Australia/Sydney | -33.87 | 151.21 | 5,557,233 |
daressalaam | daressalaam | Dar es Salaam | TZ | null | Africa/Dar_es_Salaam | -6.82 | 39.27 | 5,383,728 |
saintpetersburg | saintpetersburg | Saint Petersburg | RU | null | Europe/Moscow | 59.94 | 30.31 | 5,351,935 |
mel | melbourne | Melbourne | AU | null | Australia/Melbourne | -37.81 | 144.96 | 5,350,705 |
alexandria | alexandria | Alexandria | EG | null | Africa/Cairo | 31.2 | 29.92 | 5,263,542 |
harbin | harbin | Harbin | CN | null | Asia/Shanghai | 45.75 | 126.65 | 5,242,897 |
bkk | bangkok | Bangkok | TH | null | Asia/Bangkok | 13.75 | 100.5 | 5,104,476 |
hefei | hefei | Hefei | CN | null | Asia/Shanghai | 31.86 | 117.28 | 5,050,000 |
dalian | dalian | Dalian | CN | Liaoning | Asia/Shanghai | 38.91 | 121.6 | 4,913,879 |
kano | kano | Kano | NG | null | Africa/Lagos | 12 | 8.52 | 4,910,000 |
santiago | santiago | Santiago | CL | null | America/Santiago | -33.46 | -70.65 | 4,837,295 |
capetown | capetown | Cape Town | ZA | null | Africa/Johannesburg | -33.93 | 18.42 | 4,772,846 |
peshawar | peshawar | Peshawar | PK | null | Asia/Karachi | 34.01 | 71.58 | 4,758,762 |
changchun | changchun | Changchun | CN | Jilin | Asia/Shanghai | 43.88 | 125.32 | 4,714,996 |
jeddah | jeddah | Jeddah | SA | null | Asia/Riyadh | 21.49 | 39.19 | 4,697,000 |
chennai | chennai | Chennai | IN | null | Asia/Kolkata | 13.09 | 80.28 | 4,681,087 |
kolkata | kolkata | Kolkata | IN | null | Asia/Kolkata | 22.56 | 88.36 | 4,631,392 |
xiamen | xiamen | Xiamen | CN | null | Asia/Shanghai | 24.48 | 118.08 | 4,617,251 |
surat | surat | Surat | IN | null | Asia/Kolkata | 21.2 | 72.83 | 4,591,246 |
yangon | yangon | Yangon | MM | null | Asia/Yangon | 16.81 | 96.16 | 4,477,638 |
baoan | baoan | Bao'an | CN | Guangdong | Asia/Shanghai | 22.55 | 113.88 | 4,476,554 |
kabul | kabul | Kabul | AF | null | Asia/Kabul | 34.53 | 69.17 | 4,434,550 |
nairobi | nairobi | Nairobi | KE | null | Africa/Nairobi | -1.28 | 36.82 | 4,397,073 |
wuxi | wuxi | Wuxi | CN | Jiangsu | Asia/Shanghai | 31.57 | 120.29 | 4,396,835 |
giza | giza | Giza | EG | null | Africa/Cairo | 30.01 | 31.21 | 4,367,343 |
jinan | jinan | Jinan | CN | Shandong | Asia/Shanghai | 36.67 | 117 | 4,335,989 |
taiyuan | taiyuan | Taiyuan | CN | Shanxi | Asia/Shanghai | 37.87 | 112.56 | 4,303,673 |
zhengzhou | zhengzhou | Zhengzhou | CN | null | Asia/Shanghai | 34.76 | 113.65 | 4,253,913 |
bamako | bamako | Bamako | ML | null | Africa/Bamako | 12.61 | -7.98 | 4,227,569 |
riyadh | riyadh | Riyadh | SA | null | Asia/Riyadh | 24.69 | 46.72 | 4,205,961 |
newtaipeicity | newtaipeicity | New Taipei City | TW | null | Asia/Taipei | 25.06 | 121.46 | 4,004,367 |
newterritories | newterritories | New Territories | HK | null | Asia/Hong_Kong | 22.42 | 114.11 | 3,984,077 |
shijiazhuang | shijiazhuang | Shijiazhuang | CN | Hebei | Asia/Shanghai | 38.04 | 114.48 | 3,938,513 |
chattogram | chattogram | Chattogram | BD | null | Asia/Dhaka | 22.34 | 91.83 | 3,920,222 |
addisababa | addisababa | Addis Ababa | ET | null | Africa/Addis_Ababa | 9.02 | 38.75 | 3,860,000 |
kunming | kunming | Kunming | CN | null | Asia/Shanghai | 25.04 | 102.72 | 3,855,346 |
zhongshan | zhongshan | Zhongshan | CN | Guangdong | Asia/Shanghai | 22.52 | 113.38 | 3,841,873 |
nanning | nanning | Nanning | CN | null | Asia/Shanghai | 22.82 | 108.32 | 3,839,800 |
shantou | shantou | Shantou | CN | null | Asia/Shanghai | 23.35 | 116.68 | 3,838,900 |
la | losangeles | Los Angeles | US | null | America/Los_Angeles | 34.05 | -118.24 | 3,820,914 |
faisalabad | faisalabad | Faisalabad | PK | null | Asia/Karachi | 31.42 | 73.09 | 3,800,193 |
dxb | dubai | Dubai | AE | null | Asia/Dubai | 25.08 | 55.31 | 3,790,000 |
yokohama | yokohama | Yokohama | JP | Kanagawa | Asia/Tokyo | 35.43 | 139.65 | 3,777,491 |
fuzhou | fuzhou | Fuzhou | CN | Fujian | Asia/Shanghai | 26.06 | 119.31 | 3,740,000 |
ningbo | ningbo | Ningbo | CN | null | Asia/Shanghai | 29.88 | 121.55 | 3,731,203 |
casablanca | casablanca | Casablanca | MA | null | Africa/Casablanca | 33.59 | -7.61 | 3,665,954 |
ibadan | ibadan | Ibadan | NG | null | Africa/Lagos | 7.38 | 3.91 | 3,649,000 |
puyang | puyang | Puyang | CN | Zhejiang | Asia/Shanghai | 29.46 | 119.89 | 3,590,000 |
ankara | ankara | Ankara | TR | null | Europe/Istanbul | 39.92 | 32.85 | 3,517,182 |
shiyan | shiyan | Shiyan | CN | Hubei | Asia/Shanghai | 32.65 | 110.78 | 3,460,000 |
City Slugs
Two canonical, URL-safe identifiers for each of 234,136 cities and towns worldwide (every GeoNames populated place with population ≥ 500), fixed by a deterministic rule:
id— the short, recognizable form:ber,sf,nyc,tyofor cities with a curated metro / airport / colloquial code; equal to the slug otherwise.slug— the written-out form:berlin,sanfrancisco,newyorkcity.
Both are globally unique and resolve to the same city. Geocoding ids (GeoNames ids, place ids) are stable but opaque; names are readable but ambiguous (there are six Heidelbergs). This dataset gives each place a single readable identifier that survives in a URL, a config file, or a conversation.
Schema
| column | type | notes |
|---|---|---|
id |
string | short canonical id (ber); equals slug when no curated short form |
slug |
string | written-out canonical slug (berlin) |
name |
string | display name |
country |
string | ISO 3166-1 alpha-2 |
region |
string | null | GeoNames admin-1 name, present where it disambiguates |
timezone |
string | IANA zone |
lat, lng |
float | coordinates, rounded to 2 decimals (~1 km) |
population |
int | GeoNames population |
id slug name country population
ber berlin Berlin DE 3644826
sf sanfrancisco San Francisco US 864816
nyc newyorkcity New York City US 8804190
— heidelberg Heidelberg DE 160355
— paloalto Palo Alto US 66853
Assignment rules
Slugs are claimed in global population order; each city takes the shortest
free form: name → name_cc → name_cc_region → name_cc_region_N. The bare
name goes to the most populous bearer (paloalto = Palo Alto, California),
namesakes fall to the disambiguated forms (paloalto_mx).
Ids equal the slug unless a curated short form exists, claimed over the
same namespace (so an id never collides with another city's slug): colloquial
name (sf) → metro code (nyc) → iconic airport code (ber, curated
allow-list — cryptic codes like bom/msy stay search aliases) → else id = slug.
Deterministic: the same GeoNames snapshot yields the same assignment. Treat published ids and slugs as append-only.
Usage
from datasets import load_dataset
ds = load_dataset("mirkokiefer/city-slugs", split="train")
ds.filter(lambda r: r["country"] == "DE" and r["population"] > 50000)
import duckdb
duckdb.sql("SELECT id, slug, name FROM 'city-slugs.parquet' WHERE id != slug LIMIT 10")
Provenance & license
Derived from GeoNames (cities500 +
admin1CodesASCII), CC BY 4.0;
this dataset is published under the same license.
Also available as an npm package (city-slugs, with JSON tiers + a byId /
bySlug API) and on GitHub.
Born in Zeit — a world clock for iPhone, Mac, and the web,
where the ids power short share URLs (zeit.xyz/?c=ber,sf,nyc).
- Downloads last month
- 42