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