Toronto · Open Data · OSM

Import Wrap-Up

Municipal address points imported to OpenStreetMap
May 13 – 28, 2026
16 days end-to-end
449,052
address nodes uploaded to OpenStreetMap across 1,297 changesets
768,888
Source pool
206,621
Dupes caught
8,967
Streets touched
1,297
Changesets
Daily uploads · May 13 → 28
176
13
14
3.1k
15
76.5k
16
17
58k
18
24.9k
19
5.2k
20
70.4k
21
16.1k
22
48.9k
23
5k
24
38.9k
25
34.3k
26
3.2k
27
64.4k
28
Hands-on time · May 13 → 28 — 65h across 25 sessions
0.7h
13
14
1.8h
15
6.2h
16
17
6.7h
18
3.0h
19
4.5h
20
7.0h
21
1.0h
22
5.5h
23
0.6h
24
8.1h
25
6.4h
26
0.8h
27
12.6h
28
Conflation funnel
768,888
Ingested from source
Toronto Open Data points
656,570
Missing in OSM
85% of source — absent from OSM
449,052
Uploaded
68% of missing · import complete
Top streets by uploads
  • 1Yonge St2,042
  • 2Dundas St W1,991
  • 3Danforth Ave1,911
  • 4Kingston Rd1,718
  • 5Bloor St W1,617
Top neighbourhoods
  • 1Birchcliffe-Cliffside7,197
  • 2Wexford-Maryvale6,744
  • 3Danforth-East York6,700
  • 4Junction-Wallace6,420
  • 5Morningside Heights6,230
Automation vs. human review
94%AUTO
627,390 candidates sailed through auto-approval. 38,373 manual review actions on the trickier ones — spot-checks, city duplicates, far matches, street-name variants.
★ Biggest day
May 16 — 76,531 addresses uploaded in a single day
★ Biggest changeset
2,439 nodes in one push (South Riverdale NE-NW-2-SW-SW)
★ Average run
346 addresses uploaded per pipeline run
★ Coverage
99.4% of Toronto neighbourhoods touched in 16 days
Toronto Open Data → OpenStreetMap run-by-run detail →