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