Inside Self-Storage (ISS) Data

The trade publication for the self-storage industry, operated by Informa Markets, and the only editorial surface that watches the entire sector - public REITs, private operators, developers and the vendors who sell to both - every working day.

The site organizes into topic hubs, each with subtopic menus: News; Development (facility design, feasibility, mixed-use, site selection, zoning); Construction; Investing & Real Estate (acquisitions, facility value, financing, market conditions, selling); Operations (customer service, insurance, legal, marketing, revenue management, sales, staffing, tax); Technology; and Profit Centers. Feed items consistently expose a thumbnail image, a linked category label, headline, linked author byline, date and read time, and special flags mark breaking news, video items and members-only content.

What makes it more than a magazine is three recurring data-rich series: the monthly Self-Storage Development and Zoning Activity roundup (the August 2026 edition published 2026-08-20 under the ISS Staff byline), the monthly Self-Storage Real Estate Acquisitions and Sales transaction tracker, and the annual Top-Operators Lists with companion analysis. No benchmark tables or feeds are published alongside them - the value sits entirely in the editorial record itself. What Datadory does is turn that record into a delivered dataset: normalized article rows with stable keys, the series labeled, and a cadence you choose. Get a sample of this dataset scoped to the hubs and months you care about.

One row per published item, with the monthly series carried as a flag rather than buried in a headline:

# Article row -- one per published item
headline         : Self-Storage Development and Zoning Activity: August 2026
datePublished    : 2026-08-20T22:22:00.000Z
author           : ISS Staff
category_label   : Self-Storage Development
read_time        : 14 Min Read
mainEntityOfPage : /self-storage-development/self-storage-development-and-zoning-activity-august-2026
series_flag      : monthly_development_zoning_roundup

# Operator item -- one per announcement
section          : Facility Operators
headline         : Shurgard Self-Storage Releases First-Quarter 2026 Financial Results
row_type         : operator_news_item

# Transaction edition -- one per month
section          : Self-Storage Investing & Real Estate
headline         : Self-Storage Real Estate Acquisitions and Sales: August 2026
series_flag      : monthly_acquisitions_sales_tracking

Two conventions decide whether a pipeline survives contact with the full archive. The canonical identifier is the spine: every author name, timestamp and category label resolves back to it, and re-publications keep the same key while dateModified moves underneath. datePublished versus dateModified is not redundancy - one is when the item first appeared, the other is when its content last changed, and a monitoring system that conflates them either misses corrections or re-alerts on old news. Live rows scoped to your named hubs ship with the sample.

Seven fields anchor the dictionary, all verified against the documented record structure during the August 2026 research pass rather than inferred from column names. The identity cluster (headline, author) says what was published and by whom; the timing cluster (datePublished, dateModified) pins both the first appearance and the last change; the classification cluster (category_label, read_time) carries the topic-hub placement and a depth proxy; and mainEntityOfPage ties each row to its canonical source item.

Every definition above holds on ordinary news briefs and on the members-only features alike, which is the practical test of a dictionary built from a real observation window rather than an advertised schema.

Three chips summarize the footprint:

• Geography - global self-storage coverage with a US center of gravity. Operators, developers and investors internationally appear in the feed, but the monthly zoning and transaction roundups are dominated by US markets, because that is where the project pipeline concentrates.
• Time - a rolling archive spanning many years of publication, extended daily by roughly 10 to 20 new items. The two monthly series recur every month and the Top-Operators Lists arrive annually, so the archive deepens on three clocks at once.
• Granularity - one row per article, with the monthly roundups aggregating many per-market development and transaction items into single dated editions. A market-level pipeline view therefore costs exactly one row lookup per month rather than one per project.

That third chip carries the honest trade: the roundup editions compress per-market detail into editorial summaries, so twelve monthly zoning editions are not twelve projects tracked but thousands of items summarized. Teams needing project-level grain use the editions as the index and go deeper from there.

API, files, or your warehouse. Daily, weekly, or hourly.

You choose the channel and the cadence; watching a feed that grows by 10 to 20 items a day is our problem, not your cron job. Extracts land normalized - same columns, same types, same canonical keys - so a nightly warehouse load and an on-demand lookup agree row for row. When an article is corrected after publication, the row updates its dateModified rather than spawning an orphan duplicate, so downstream counts stay stable while the content stays current. Screening axes come with it: topic hub, author, date window, series flags, keyword sets. A sample scoped to exactly those axes ships first either way, sized to test in your own pipelines the day it lands.

Four workloads lean on this record hardest:

1. Competitive intelligence and product teams watch the Facility Operators hub for announcements like Shurgard's first-quarter 2026 results, arriving the day they publish rather than whenever someone remembers to check; see datasets for competitive intelligence & product teams.
2. Investors and quants treat the Development and Zoning Activity roundups as leading indicators - supply announced today shows up in same-store metrics quarters later - and join this editorial layer to filed fundamentals on the same four tickers; see datasets for investors & quants.
3. Acquisition and brokerage analysts accumulate the monthly Acquisitions and Sales editions into a transaction comps file that predates any single quarter's deal list.
4. Market researchers rank the private side of the industry from Top-Operators Lists, the one place non-traded operators get sized at all; see the market sizing use case.

One boundary worth knowing upfront: this is the editorial layer, not an operating-statistics layer. Square-foot occupancy, rent-per-square-foot and same-store growth live in REIT filings and operator disclosures, so pair this feed with those sources when the model needs standardized numbers - the editorial record explains what the numbers mean.

Provenance note - the publication is maintained by Inside Self-Storage / Informa Markets. Datadory keeps the source name on the record; field definitions were mapped against the documented record structure during the August 2026 research pass.

Completeness note - figures quoted here were measured at research time, not advertised: roughly 10 to 20 new items per day across all sections, tens of thousands of articles in the rolling archive, and the August 2026 zoning edition published 2026-08-20. Treat any count in a delivered extract as measured and any count quoted elsewhere as approximate. Archive depth for the monthly series - how far back the earliest edition reaches - has not been established, so multi-year backtests should confirm series depth against a delivered extract before depending on it.

Dictionary note - all 7 core fields are verified. The per-item flags for breaking news, video and members-only content fold under additional fields on request and get pinned down against a delivered extract before anything depends on them.

Where to go next - cards worth reading: Nareit Self-Storage REIT Sector Hub vs Yahoo Finance REIT Quotes, the Self-Storage REITs industry hub, the rest of the shelf in best self-storage REITs datasets, and the sector briefing card itself in Nareit Self-Storage REIT Sector Hub.