World Bank Mobile Cellular Subscriptions (IT.CEL.SETS) Indicator
- Coverage
- Roughly 265 World Bank member countries and economies…
Industry hub · Wireless telecommunication services data provider
Datadory covers wireless telecommunication services data provider with 5 datasets spanning World Bank Mobile Cellular Subscriptions (IT.CEL.SETS) Indicator , World Bank WDI - Mobile cellular subscriptions and ITU World Telecommunication/ICT Indicators Database - Global & Regional Time Series (2005-2025) . Delivered daily, weekly, or hourly — your call.
Every catch in this slice, ranked by our quality rubric — depth of documentation, freshness, breadth. Pick one, sample it, ship it.
Where wireless telecommunication services data provider data actually comes from.
Wireless Telecommunication Services is the catalog's thinnest slice: zero datasets originate here, and all five records arrive pooled in from adjacent industries — Alternative Carriers, Integrated Telecommunication Services, Communications Equipment, plus two general-purpose discovery hubs tagged in from Apparel Retail and Home Furnishings.
Thin does not mean shallow, because institutional statistical publishers carry the substance.
World Bank Data ships the core pair: indicator IT.CEL.SETS in raw counts and IT.CEL.SETS.P2 per 100 people, together spanning 1960–2025 across 265 economy rows — roughly 217 sovereign economies plus regional and income aggregates.
The per-capita panel alone holds 13,017 non-empty observations in a verified wide table of 265 rows by 66 year columns.
On the absolute series, the United States posts 390,990,000 for 2024 against 386,106,000 for 2023, while the world aggregate lands at 111.5 per 100 inhabitants.
The International Telecommunication Union supplies the authoritative aggregates layer: one compact workbook of regional and global ICT series for 2005–2025, spanning broadband, mobile-network population coverage and internet use.
It estimates roughly 6 billion people — 74% of world population — online in 2025, leaving about 2.2 billion offline, and it is the only record in this pool splitting population covered by a mobile-cellular network into total, urban and rural.
Two discovery hubs round out the pool.
Hugging Face indexes 1,012,353 machine-learning datasets hub-wide with faceted filters for modality, task and size; Kaggle layers community-published tables behind usability scores and per-dataset provenance metadata.
An industry with zero homegrown records sounds like a gap until you see who carries the numbers: for wireless markets, the substance lives at the UN-agency layer, and Datadory routes it to you whole.
Three to start with. The rest of the board is above.
country.value · countryiso3code · date …+8 more
country.value · countryiso3code · date …+3 more
Indicator · Unit · Region/Group …+1 more
id · downloads · lastModified …+5 more
name · description · creator …+6 more
Quant researchers build backtestable macro features from the country-year panels: periodicity running back to 1960 puts six-plus decades of penetration history alongside rates and output series in one frame.
Market researchers size markets by country, benchmarking absolute scale across borders on IT.CEL.SETS before narrowing to per-capita comparisons on IT.CEL.SETS.P2 — the 2024 United States reading of 390,990,000 means little until it sits next to the 111.5 world average per 100 inhabitants.
Policy teams and NGOs quantify the digital divide for briefs and decks: 74% of the world online in 2025, roughly 2.2 billion people offline, and low-income economies' mobile-network population coverage climbing from 80.7% in 2015 to 88.0% in 2020.
Machine-learning engineers source training corpora and benchmark tasks through the discovery hubs, filtering by modality, task and size.
Developers embed country statistics straight into apps and dashboards, paginating the panels down to a single economy-year reading.
Journalists, academics and students anchor citations to the institutional series — best data for wireless telecommunication services teams collects that shortlist.
Three attributes decide it here.
Grain: the World Bank panels run country-year at national level; the ITU workbook runs indicator-by-aggregate-group, trading country detail for income-group and regional roll-ups.
Depth: the cellular series reach back to 1960; the ITU aggregates begin in 2005.
Match the horizon to the cycle you are studying — adoption curves predate the aggregate layer by forty-five years.
Shape: the per-capita panel arrives wide, 66 year columns per row; the absolute series and the ITU workbook suit long-format tooling.
Wide flatters spreadsheets; long flatters warehouses.
When two records overlap, take the normalized series for cross-country charts and the absolute series for market-size sums — and remember the discovery hubs index corpora, not telecom statistics, so they complement rather than compete.
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API number · Surface coordinates · Drilling start (approx.) …+47 more
UniqueCarrier / AirlineID · OriginAirportID / DestAirportID · Month / Class …+36 more
Record_ID · Change_Type · Covered_Recipient_Type …+36 more
MatchedObjectId · PositionID · PositionTitle …+62 more
X_Minimum · X_Maximum · Y_Minimum …+31 more
departure_airport · departure_iata · departure_icao …+30 more
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