land-asset-inventory
Dataset description:
This dataset contains the City of Toronto's real estate asset portfolio
Source: Real Estate Asset Inventory
Kamus Data
- ID
- FLOC_ID
- Tipe
- text
- Deskripsi
Location ID in SAP
- ID
- Property Description
- Tipe
- text
- Deskripsi
Description of the land asset
- ID
- Address
- Tipe
- text
- Deskripsi
Address of the land asset
- ID
- City
- Tipe
- text
- Deskripsi
Address (City) of the land asset
- ID
- Intersection
- Tipe
- text
- Deskripsi
The main intersection or brief location description
- ID
- Ward \#
- Tipe
- int4
- Deskripsi
City ward #
- ID
- Ward Name
- Tipe
- text
- Deskripsi
City ward name
- ID
- Former Municipality
- Tipe
- text
- Deskripsi
The former (pre-amalgamation) City entity that originally acquired the asset
- ID
- District
- Tipe
- text
- Deskripsi
The general location of the asset (i.e. North/East/South/West)
- ID
- City Cluster
- Tipe
- text
- Deskripsi
The City Cluster who owns the asset
- ID
- Property Type
- Tipe
- text
- Deskripsi
The general type / use of the land asset
- ID
- Property Status
- Tipe
- text
- Deskripsi
The general usage status of the land asset
- ID
- Jurisdiction
- Tipe
- text
- Deskripsi
The City Division who owns the asset
- ID
- Management
- Tipe
- text
- Deskripsi
The City Division who manages the asset
- ID
- Owner
- Tipe
- text
- Deskripsi
The legal entity that owns the asset
- ID
- Area (M2)
- Tipe
- float8
- Deskripsi
The approximate size area in sq.m.
- ID
- Frontage (M)
- Tipe
- float8
- Deskripsi
The approximate frontage in m.
- ID
- Depth (M)
- Tipe
- float8
- Deskripsi
The approximate depth in m.
- ID
- Area (FT2)
- Tipe
- float8
- Deskripsi
The approximate size area in sq.ft.
- ID
- Frontage (FT)
- Tipe
- float8
- Deskripsi
The approximate frontage in ft.
- ID
- Depth (FT)
- Tipe
- float8
- Deskripsi
The approximate depth in ft.
- ID
- OBJECTID
- Tipe
- int4
- Deskripsi
Unique ID in AGOL
Informasi Tambahan
| Field | Nilai |
|---|---|
| Data last updated | 30 Juni 2025 |
| Metadata last updated | 22 Juni 2026 |
| Dibuat | 30 Juni 2025 |
| Format | GeoJSON |
| Lisensi | License not specified |
| Datastore active | True |
| Datastore cache | {'CSV': {'4326': '278d29e2-5807-4253-86e2-2a3f3d6d1c1c', '2952': '7c7242e7-00c4-46b8-8885-712b7fe7f610'}, 'SHP': {'4326': 'c539879b-4aba-47ad-b1c3-cafc249b19da', '2952': '7bad2484-ecde-491e-adac-40f3b832e344'}, 'GPKG': {'4326': 'c0c7a273-5119-4964-a8e7-f60f92ac8206', '2952': '7634aec0-6821-48c6-b7e9-da581bfd0b49'}, 'GEOJSON': {'4326': '7d376f28-76b8-4295-929c-c932eef8e14d'}} |
| Datastore cache last update | 1 minggu yang lalu |
| Extract job | Airflow - files_to_datastore.py - real-estate-asset-inventory |
| Has views | True |
| Id | f5578001-4c57-4f9d-8b30-28fdc9938217 |
| Is preview | True |
| Package id | a1561e68-446a-4141-9c4e-7fb376db6a20 |
| Position | 1 |
| Record count | 10.669 |
| State | active |
| Url type | datastore |
| Vertex count | 373.979 |
| Extract Job | Airflow - files_to_datastore.py - real-estate-asset-inventory |
| Is Datastore Cache File? | |
| Datastore Cache |
|
| Datastore Cache Last Updated | |
| Datastore resource's ID |