Daily Trends — FindStorage

The tracked population changed size, so figures either side of these dates are not comparable.

2026-07-09: 441 stores entered the tracked population (3,092 → 3,532 stores). Advertised inventory moved 218,120 → 225,676 units and the median 10x10 moved $100 → $107 across the same step.
2026-07-23: 1,096 stores entered the tracked population (3,541 → 4,637 stores). Advertised inventory moved 212,963 → 292,635 units and the median 10x10 moved $105 → $96 across the same step.

The step is a change in which stores are being counted, not a measured change in the market. Totals, medians and any before-and-after read across one of these dates describe two different populations of stores. Series that cross a break are marked on the chart.

National advertised inventory

Total units marked rentable across the network, per snapshot. This reflects advertised availability — units published as rentable — which may differ from physical vacancy; the two aren't directly comparable from public data. Read this as a measure of what is being advertised over time, not as an occupancy figure.

Marked on the chart: the tracked population changed size on 2026-07-09, 2026-07-23. Values before and after that line count different sets of stores and are not comparable.

National median 10x10 price

Median of each store's cheapest available 10x10, per snapshot.

Marked on the chart: the tracked population changed size on 2026-07-09, 2026-07-23. Values before and after that line count different sets of stores and are not comparable.

Public Storage (NYSE: PSA) closing share price

PSA's official daily closing price, plotted on the same scraper snapshot dates as the charts above so the x-axes line up.

How non-trading days are handled. The scraper publishes every calendar day; the market does not. Each snapshot date shows PSA's most recent close on or before that date. A filled dot is a close from a trading day not already plotted. A hollow dot is the same close repeated onto a later snapshot date because no newer close existed yet — a carried-forward value, not that day's price. Where the most recent close is more than 5 days old the point is left blank and the line breaks rather than continuing flat. The daily job runs at 11:00 UTC, ahead of the 16:00 ET close, so the newest close available on any snapshot date is normally the previous trading day's. Because the series is drawn on snapshot dates, closes from trading days with no snapshot are not plotted.

56 of 56 snapshot dates carry a price: 40 are a close from a trading day not already plotted, 16 repeat the previous close (weekend, market holiday, or no newer close at scrape time), and 0 are left blank because the newest close available was more than 5 days old. Latest plotted point: 2026-09-07 showing the close of 2026-09-04 ($302.01).

Largest declines in advertised availability

Stores whose trailing median count of units listed as available fell the most: the median across 2026-09-07 and the 6 snapshots before it, against the 7 snapshots before those (2026-08-20 → 2026-09-07). This measures what the website advertised and nothing more: a smaller number means fewer units were listed as available. Advertised availability is not a physical vacancy count, and a change in it can arise from many ordinary causes — rentals, listing and pricing updates, unit reclassification, or site changes — which public data cannot distinguish between. Stores that stopped publishing availability altogether are listed separately below rather than shown here as the largest decline.

site #	address	city	state	median units (prior → recent)	change
#77796	9480 E Stockton Bl	Elk Grove	CA	358 → 199	−159
#23925	5400 Alder Dr	Houston	TX	240 → 132	−108
#00132	1535 Simmons Rd	Kissimmee	FL	617 → 513	−104
#78010	13207 Bois D Arc Rd	Manor	TX	547 → 447	−100
#68584	64023 Highway 11	Pearl River	LA	205 → 122	−83
#78106	9692 Buffalo Rd	Palmetto	FL	526 → 454	−72
#68792	200 N Bryan Rd	Mission	TX	178 → 110	−68
#78017	5950 E Broadway Blvd	Tucson	AZ	131 → 66	−65
#25437	2250 West Copans Road	Pompano Beach	FL	157 → 95	−62
#78113	9401 FM 521 Rd	Rosharon	TX	502 → 454	−48
#77676	16001 SW 117th Ave	miami	FL	722 → 681	−41
#68076	3770 Center St	Houston	TX	80 → 40	−40
#29269	1611 Chestnut St	Dallas	TX	289 → 252	−37
#68249	2771 Oak Tree Dr	Carrollton	TX	184 → 147	−37
#78067	1 Parris Island Gateway	Beaufort	SC	270 → 233	−37

Largest increases in advertised availability

The opposite end — stores whose trailing median count of listed-available units rose the most over the same two windows. The same caveat applies in reverse: this is a change in what was advertised, not a measured change in physical occupancy.

site #	address	city	state	median units (prior → recent)	change
#23029	3625 S Grand Ave	Los Angeles	CA	584 → 955	+371
#27387	9130 South Hampton Road	Dallas	TX	343 → 667	+324
#27911	800 Rep John Lewis Way S	Nashville	TN	271 → 520	+249
#25874	1385 Hunting Valley Rd	St Paul	MN	435 → 644	+209
#22030	1400 E Michigan Ave	Saline	MI	143 → 314	+171
#08171	1111 118th Ave SE STE #2	Bellevue	WA	623 → 777	+154
#21110	4725 N 43rd Ave	Phoenix	AZ	114 → 263	+149
#28135	2080 Briarcliff Road NE	Atlanta	GA	430 → 536	+106
#22027	1900 Sagamore Pkwy W	West Lafayette	IN	164 → 269	+105
#77897	2461 Cherry Laurel Dr	Sanford	FL	82 → 184	+102

Stopped advertising availability — not a decline

Stores that advertised units through 2026-08-20 → 2026-08-31 and then reported exactly zero on every snapshot since. A store reading zero after a week in the hundreds has stopped publishing availability; reading that as units rented would make it the largest mover on the page and the least likely to mean what the table says it means. Kept separate for that reason.

site #	address	city	state	median units advertised before	snapshots at zero
#68214	211 Grove St	Bloomfield	NJ	139	7 of 7

10x10 advertised price increases

Largest increases in the trailing median of a store's cheapest advertised 10x10, over the same two windows (2026-08-20 → 2026-09-07). Prices shown are the advertised online rates. A store must carry a 10x10 price across 14 consecutive snapshots, all inside the plausible range for a 10x10, before it can appear.

site #	address	city	state	prior median	recent median	change	change %
#00280	1695 Benson Ave	Upland	CA	$129	$252	+$123	+95.3%
#26331	4400 Ramona Blvd	Monterey Park	CA	$266	$387	+$121	+45.5%
#20289	190 10th Street	San Francisco	CA	$207	$322	+$115	+55.6%
#24331	22992 El Pacifico Dr	Laguna Hills	CA	$140	$252	+$112	+80.0%
#23717	13333 Osborne Street	Arleta	CA	$275	$385	+$110	+40.0%
#22315	365 W Manchester Ave	Los Angeles	CA	$152	$261	+$109	+71.7%
#20154	23811 Ventura Blvd	Calabasas	CA	$203	$312	+$109	+53.7%
#27001	130 Landing Court	Novato	CA	$193	$296	+$103	+53.4%
#08150	1751 Old Meadow Road	McLean	VA	$189	$292	+$103	+54.5%
#26341	12245 Woodruff Ave	Downey	CA	$213	$315	+$102	+47.9%

10x10 advertised price decreases

Largest decreases in the trailing median of a store's cheapest advertised 10x10 over the same two windows. Published rates move for many reasons; this table reports the change without inferring a cause.

site #	address	city	state	prior median	recent median	change	change %
#68739	346 Carr 2	Toa Baja	PR	$336	$240	−$96	−28.6%
#08747	1302 W Kennedy Blvd	Tampa	FL	$216	$128	−$88	−40.7%
#25779	161 E Ventura Blvd	Oxnard	CA	$254	$166	−$88	−34.6%
#25796	14751 SW 29th St	Miramar	FL	$286	$198	−$88	−30.8%
#00412	3080 Pembroke Road	Hallandale	FL	$248	$166	−$82	−33.1%
#20145	13249 Garvey Ave	Baldwin Park	CA	$241	$160	−$81	−33.6%
#25431	12123 West Sample Road	Coral Springs	FL	$270	$190	−$80	−29.6%
#08110	269 Gold St	Brooklyn	NY	$356	$276	−$80	−22.5%
#08505	17052 Jamboree Road	Irvine	CA	$248	$168	−$80	−32.3%
#26977	6990 Noritsu Ave	Buena Park	CA	$274	$194	−$80	−29.2%

Advertised price moves by unit size

Change in a listing's trailing median advertised price: the median across 2026-09-01 → 2026-09-07 against the median across 2026-08-20 → 2026-08-31, per store and unit size. Medians rather than two endpoints, because a single mis-scraped reading inside a 7-snapshot window is outvoted by the readings around it, where against one adjacent snapshot it would be the whole signal. 22,334 listings moved; 9,510 were held back as suspected collection artifacts and are itemised below. These are observed changes in published online rates; no cause is inferred.

A listing must carry a real price across 14 consecutive snapshots before it can appear here, and every observation must fall inside the plausible range for its size, taken from the observed distribution of that size (p0.5–p99.5): Locker $10–$166; 5x5 $10–$182; 5x10 $14–$251; 5x15 $21–$347; 10x10 $31–$416; 10x15 $43–$581; 10x20 $57–$649; 10x25 $67–$699; 10x30 $82–$878; Parking $19–$442.

Largest increases

site #	size	prior median	recent median	change	change %
#08230	10x30	$176	$501	+$325	+184.7%
#25890	10x30	$212	$520	+$308	+145.3%
#25802	10x30	$393	$689	+$296	+75.3%
#27636	10x30	$178	$456	+$278	+156.2%
#00276	10x30	$406	$670	+$264	+65.0%
#25805	10x30	$143	$402	+$259	+181.1%
#30384	10x30	$210	$467	+$257	+122.4%
#77900	10x30	$526	$782	+$256	+48.7%
#25896	10x30	$285	$534	+$249	+87.4%
#27602	10x30	$224	$454	+$230	+102.7%

Largest decreases

site #	size	prior median	recent median	change	change %
#22023	10x30	$686	$153	−$533	−77.7%
#28158	10x30	$671	$222	−$449	−66.9%
#25813	10x30	$647	$248	−$399	−61.7%
#25891	10x30	$548	$227	−$321	−58.6%
#07038	10x30	$714	$408	−$306	−42.9%
#27185	10x30	$704	$413	−$291	−41.3%
#77607	10x30	$571	$283	−$288	−50.4%
#08534	10x30	$686	$412	−$274	−39.9%
#28149	10x30	$527	$258	−$269	−51.0%
#22044	10x30	$428	$175	−$253	−59.1%

No longer advertised — not a price move

Listings that were priced through 2026-08-20 → 2026-08-31 and then stopped being published. A listing that disappears is a disappearance, not a repricing, so it is counted here rather than shown as a price falling to nothing.

site #	size	units advertised before it left the feed
#25550	10x10	18
#25708	5x10	18
#08194	10x20	14
#08458	5x10	14
#29146	5x10	13
#20130	5x10	13
#27604	5x5	13
#77697	5x5	13
#22315	5x10	12
#20901	5x10	12
#27604	5x10	12
#22001	10x10	11
#07116	10x10	11
#23001	10x10	11
#07035	5x10	11

The rate-change log (history/rate_changes.csv) holds 470,958 individual price changes across 32 days. It records deltas only, so it cannot support a trailing median or tell a placeholder from a repricing; the tables above are built from the per-listing price levels in history/store-sizes-YYYY-MM.csv instead.

Excluded rows

10,143 rows were held back from the movers tables above as suspected collection artifacts — 9,510 of the 35,112 tracked store-size listings, and 633 store-level rows across the 4,672 stores tracked. Nothing is dropped silently: every excluded row is written to quarantine/movers_quarantine.csv with its reason and the values that triggered it, so this count can be checked rather than taken on trust.

table	reason	rows	what it means
price by size	no_baseline	7,215	no real price across the 7 snapshots before the comparison window. A store that has just entered the dataset has no prior reading, so any change computed for it is arithmetic on a value nobody observed.
price by size	no_longer_advertised	1,802	priced before the comparison window and not priced through it — the listing stopped being published. A disappearance, not a repricing.
price by size	price_out_of_bounds	407	at least one observation fell outside the p0.5–p99.5 range of observed prices for that unit size, which marks it as a placeholder rather than a rate.
price by size	store_not_tracked_through_window	86	the store was not in the dataset for all 14 snapshots being compared.
10x10 price	no_baseline	393	no real price across the 7 snapshots before the comparison window. A store that has just entered the dataset has no prior reading, so any change computed for it is arithmetic on a value nobody observed.
10x10 price	no_longer_advertised	123	priced before the comparison window and not priced through it — the listing stopped being published. A disappearance, not a repricing.
10x10 price	price_out_of_bounds	85	at least one observation fell outside the p0.5–p99.5 range of observed prices for that unit size, which marks it as a placeholder rather than a rate.
10x10 price	store_not_tracked_through_window	12	the store was not in the dataset for all 14 snapshots being compared.
availability	store_not_tracked_through_window	12	the store was not in the dataset for all 14 snapshots being compared.
availability	started_advertising_availability	7	advertised units were zero and are not any more, which is a store that began publishing availability rather than one that returned units to stock.
availability	stopped_advertising_availability	1	advertised units went to exactly zero and stayed there, which is a store that stopped publishing availability rather than one that rented everything out.

Trends by size

Availability and price over time, split by unit size, from the state-by-size demand log (history/sizes-YYYY-MM.csv). Price is a national average weighted by each state's listing count, since raw per-listing prices aren't retained at this granularity — read it as a trendline, not a precise national median. 55 days logged so far — the chart needs at least two distinct days to show a line, and gains one day per successful collection run.

Marked on the chart: the tracked population changed size on 2026-07-09, 2026-07-23. Values before and after that line count different sets of stores and are not comparable.

Advertised availability — Locker

Weighted-avg price — Locker

Advertised availability — 5x5

Weighted-avg price — 5x5

Advertised availability — 5x10

Weighted-avg price — 5x10

Advertised availability — 5x15

Weighted-avg price — 5x15

Advertised availability — 10x10

Weighted-avg price — 10x10

Advertised availability — 10x15

Weighted-avg price — 10x15

Advertised availability — 10x20

Weighted-avg price — 10x20

Advertised availability — 10x25

Weighted-avg price — 10x25

Advertised availability — 10x30

Weighted-avg price — 10x30

Advertised availability — Parking

Weighted-avg price — Parking

Tracking coverage

2 stores are tracked now that weren't in the 2026-08-31 snapshot, and 0 dropped out. Additions can reflect improved discovery as well as new openings; drops are usually closures. Coverage change becomes a clean openings/closures signal once the baseline stabilizes.