Storefront Register

Active

How long a storefront sits dark between tenants, block by block — SF against LA and Chicago.

analyticsdatacivic

90,710

Active tenancies (SF)

registered storefront locations

24.5%

Re-let within a year

CI 22.8–26.3%

83.6%

Parcels occupied

commercial parcels, SF

253d

Median vacancy gap

genuine successions only

Net storefront formation, San Francisco — monthly openings minus closings

Apr 24 – Mar 26

Apr 24Oct 24Apr 25Oct 25Mar 26

View as table

Month	Openings	Closings	Net
Apr 24	286	178	+108
May 24	343	346	-3
Jun 24	256	243	+13
Jul 24	269	132	+137
Aug 24	248	151	+97
Sep 24	231	148	+83
Oct 24	259	124	+135
Nov 24	239	153	+86
Dec 24	189	362	-173
Jan 25	468	200	+268
Feb 25	232	168	+64
Mar 25	247	187	+60
Apr 25	297	174	+123
May 25	241	271	-30
Jun 25	253	249	+4
Jul 25	390	239	+151
Aug 25	229	100	+129
Sep 25	219	125	+94
Oct 25	252	107	+145
Nov 25	173	93	+80
Dec 25	193	319	-126
Jan 26	388	144	+244
Feb 26	285	188	+97
Mar 26	301	195	+106

Registration dates, not trading dates. Snapshot 2026-08-17, complete through 2026-03; later months are omitted as provisional.

The full Register

Open full page

The Register keeps its own visual identity — it is a finished, self-contained page exported by the analysis pipeline and embedded here unchanged.

About this project

Local-first analytics on business formation, closure, and storefront turnover, built on open city data. Where existing SF economic dashboards report citywide levels monthly, this tracks corridor- and block-level dynamics: which areas are gaining or losing establishments, how long addresses sit dark between tenants, and how San Francisco's re-let rates compare against Los Angeles and Chicago. The pipeline (a separate Python project) pulls registry, parcel, permit, and zoning data from three cities' open-data portals, and exports the self-contained dashboard embedded here.

Details

Created: August 16, 2026
Last updated: August 18, 2026
Type: Embedded app