wards
Data source: See col-scraper on GitHub
25 rows sorted by name
This data as json, CSV (advanced)
id | name ▼ |
---|---|
286f7f31 | Aldersgate |
68323942 | Aldgate |
2a66d0da | Bassishaw |
0434a638 | Billingsgate |
c1386831 | Bishopsgate |
15362cc1 | Bread Street |
70fbd1ea | Bridge and Bridge Without |
0367a1d1 | Broad Street |
e74982dd | Candlewick |
31037861 | Castle Baynard |
70a9d190 | Cheap |
43861e99 | Coleman Street |
3aa4ba2e | Cordwainer |
3a2fdc7e | Cornhill |
e5a9d3d8 | Cripplegate |
6df2119b | Dowgate |
13e8d138 | Farringdon Within |
2b5454aa | Farringdon Without |
09362530 | Langbourn |
675b7bdd | Lime Street |
03c562f9 | Portsoken |
fd77f10c | Queenhithe |
9a06a5f0 | Tower |
0bcd8436 | Vintry |
ab151963 | Walbrook |
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CREATE TABLE wards( id VARCHAR(8) NOT NULL, name VARCHAR(50), PRIMARY KEY (id) );