Neighbourhoods - historical 140
Dataset description:
"Toronto’s 158 neighbourhoods are a microcosm of the city’s inhabitants, cultures and life. The primary purpose of the City-designated social planning neighbourhoods is to help City staff...
来源: Neighbourhoods
Data Dictionary
| Column | Type | Label | 描述 |
|---|---|---|---|
| AREA_ID | int4 | ||
| AREA_ATTR_ID | int4 | ||
| PARENT_AREA_ID | int4 | ||
| AREA_SHORT_CODE | text | ||
| AREA_LONG_CODE | text | ||
| AREA_NAME | text | ||
| AREA_DESC | text | ||
| CLASSIFICATION | text | Classification of a specified area |
|
| CLASSIFICATION_CODE | text | Classification code of specified area. Possible values are: null, Emerging Neighbourhood (EN), and Neighbourhood Improvement Area (NIA) |
|
| OBJECTID | float8 | ||
| geometry | text |
其他信息
| 域 | 价值 |
|---|---|
| Data last updated | 2025年6月30日 |
| Metadata last updated | 2025年6月30日 |
| 创建的 | 2025年6月30日 |
| 格式 | GeoJSON |
| 授权 | License not specified |
| Datastore active | True |
| Datastore cache | {'CSV': {'4326': '070019b4-6375-4c04-a4c0-602a3a5d930f', '2952': 'ae095ad9-fb6f-4403-97fe-68703ed65663'}, 'SHP': {'4326': 'ce0aba4e-fa57-4dac-a66d-e8f55b646fa7', '2952': 'd0aad401-e7f7-461a-86d9-6d56e2816879'}, 'GPKG': {'4326': '639f83d0-845e-4fa1-8d7c-fb5ec460e471', '2952': '739255d7-a7cc-4ab2-a2a8-b4d6cbb6d60d'}, 'GEOJSON': {'4326': '9994da8e-5d35-438b-bfc4-eef14d09e035'}} |
| Datastore cache last update | 1个月前 |
| Extract job | Airflow - files_to_datastore.py - neighbourhoods |
| Has views | True |
| Id | 7d3ae06b-0217-4cc9-92ed-97adafca2f7b |
| Is preview | True |
| Package id | fc443770-ef0a-4025-9c2c-2cb558bfab00 |
| Position | 1 |
| State | active |
| Url type | datastore |
| Extract Job | Airflow - files_to_datastore.py - neighbourhoods |
| Is Datastore Cache File? | |
| Datastore Cache |
|
| Datastore Cache Last Updated | |
| Datastore resource's ID |