World Bank Mobile Cellular Subscriptions (IT.CEL.SETS) Indicator

World Bank Mobile Cellular Subscriptions (IT.CEL.SETS) Indicator is the longest continuous count of the world's mobile subscriber base: annual subscription totals for every World Bank member economy and aggregate, running 1960 through 2025 - up to sixty-six observations per economy, roughly 265 rows in the pool. The indicator credits the International Telecommunication Union's World Telecommunication/ICT Indicators Database as its upstream collection, which is why the numbers survive scrutiny in a deck appendix as well as a model.

The definition is strict enough to compare cleanly across borders: a subscription is a connection to a public mobile telephone service over cellular technology, counting postpaid lines and active prepaid accounts - those used within the previous three months - and excluding data cards, USB modems and telemetry services. The United States row shows what that discipline yields: 390,990,000 subscriptions in 2024, up about 1.3 percent on 2023's 386,106,000.

In Datadory's alternative-carriers slice of eight primary records, this is the only quality-score-10 entry - against a catalog-wide average of 7.81 across all 1,744 datasets - and it leads the best alternative-carriers datasets ranking.

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Three consecutive years for one economy, exactly as captured during the August 2026 research pass - a growth reading and a null that teaches the series' most important convention:

# IT.CEL.SETS -- one row per economy-year
country.value      United States
countryiso3code    USA
date               2024
value              390990000        # 390.99 million subscriptions

country.value      United States
countryiso3code    USA
date               2023
value              386106000        # 386.11 million subscriptions

country.value      United States
countryiso3code    USA
date               2025
value              null             # not yet reported - never zero

Read the two populated rows as a market signal: 4,884,000 net additions, roughly 1.3 percent growth in a national market already past saturation. Read the third row as the convention: 2025 arrives as null - not yet reported, not zero subscribers - and confusing those two is how penetration models quietly break. Aggregate rows such as regions and income groups ride the same columns as countries, carrying World Bank aggregate codes instead of ISO alpha-3, so continental baselines need no second extract.

Eleven documented fields carry each observation - definitions verified against live records during the August 2026 pass rather than inferred from prose:

• country.value - the economy or aggregate the row belongs to.
• countryiso3code - ISO 3166-1 alpha-3 key, ready to join onto your own geography tables.
• date - the observation year.
• value - the measurement itself: the subscription count for that economy-year, null when unreported.

Seven further fields complete the dictionary, tabulated below: indicator identity (indicator.id, indicator.value), the ISO2-style World Bank economy code, delivery plumbing (unit, obs_status, decimal) and the pagination envelope. They travel alongside the core columns in every delivery, with conventions confirmed against real rows when we cut your sample - the same pass locks column naming for your pipeline.

Three chips summarize the footprint:

• Geography: global by construction - roughly 265 rows spanning World Bank member countries and economies, so one pull covers mature markets, frontier markets and the regional aggregates between them.
• Time frame: 1960-2025, one observation per year - sixty-six annual readings documenting the entire mobile build-out from the first analog networks onward. Latest values typically trail the present by about a year, so treat the final year as provisional and let your delivery cadence collect the revision.
• Granularity: one record per economy per year, national level throughout. No operator, brand or subnational cut exists here by design - splits like that live in the rosters and catalogs shelved alongside.

Scored 10/10 on Datadory's quality rubric - the only perfect score in the eight-record alternative-carriers slice, against a catalog average of 7.81 - carried by complete field documentation and six decades of history under one unchanged definition.

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

Pick the channel your stack already speaks and set the cadence to match the decision being fed - an overnight load landing beside your revenue tables, a tighter loop while a market-entry memo is open, or a direct warehouse write joined on economy code and year. The rows arrive identical either way: cleaned, typed and documented against the field dictionary above, ready to reconcile with the per-capita companion once density and volume need to agree.

Every delivery ships the complete eleven-field dictionary plus these sample rows for validation. Name the economies and years when you request the sample; it comes back cut to that shape before any commitment.

Ranked by how directly one pull settles the day job:

1. Market researchers and consultants (relevance 3 of 3) - the denominator layer for mobile market sizing: totals comparable across borders because definitions are harmonized upstream, and growth rates that fall straight out of adjacent years; see market researchers use cases.
2. Journalists, academics and students (relevance 3) - citation-grade trend lines where provenance travels with the number: chart the series, attribute the figure to the ITU database beneath it; see journalists academics use cases.
3. Data scientists and ML engineers (relevance 2) - the textbook diffusion curve - launch, take-off, saturation - per economy, landing in a dataframe on three keys; see data scientists use cases.
4. Developers and data-product builders (relevance 2) - one uniform economy-year spine embeds into dashboards and products without entity resolution; see developers builders use cases.
5. Investors and quant researchers (relevance 2) - subscriber trajectories reaching back to 1960, long enough to span whole technology generations rather than the last fiscal cycle.
6. Competitive intelligence and product teams (relevance 1) - the installed base carriers sell into rather than named-competitor tracking; pair it with the operator rosters for the player map; see competitive intel product teams use cases.

The logic behind the ranking: personas needing defensible totals rank this first, because one number measured everywhere for sixty-six years beats stitching national statistical offices together; personas hunting named operators belong on the rosters instead. Persona-by-persona workflows sit on the alternative carriers industry hub.

What one long series cannot do, neighbors cover:

• Density instead of volume: World Bank - Mobile Cellular Subscriptions per 100 People (IT.CEL.SETS.P2) restates the same base per capita - joined on ISO3 code plus year, the two reconcile to one subscriber pool.
• Multi-indicator context: Our World in Data - Internet & Telecom Adoption sets subscriptions beside internet-use shares and fixed-line history at the same country-year grain.
• Regional rollups: the ITU World Telecommunication/ICT Indicators Database slice cuts global and regional aggregates from 2005 forward.
• Named operators: the Wikipedia global MNO top 25 ranks the companies holding these subscriptions, ownership stakes included.
• Head-to-head: the comparison with Data.gov's telecom catalog runs one measured series against 552,271 indexed government records.
• Vocabulary: mobile penetration rate, explained decodes the headline metric, and the ITU ICT indicators database entry explains the upstream collection.

The inventory sits on the alternative carriers data hub, the scoring logic on the best alternative-carriers datasets ranking, and the publishing story on the World Bank Data source profile. If these rows belong in a model or memo you maintain, get a sample of this dataset - real rows first, commitment after.