World Bank - Mobile Cellular Subscriptions per 100 People (IT.CEL.SETS.P2)
Datadory delivers World Bank WDI mobile cellular subscriptions per 100 people (IT.CEL.SETS.P2) data covering 265 economies and aggregates annually from 1960 to 2025 - 13,017 country-year records tracing penetration from zero to a World reading of 111.5 subscriptions per 100 people in 2025. Get a sample of this dataset and inspect real records before you commit.
What is the World Bank - Mobile Cellular Subscriptions per 100 People (IT.CEL.SETS.P2) dataset?
Mobile cellular subscriptions per 100 people - indicator IT.CEL.SETS.P2 of the World Development Indicators - is the density of active handset connections per 100 inhabitants, reported every year for every World Bank member economy and aggregate from 1960 through 2025. The underlying collection is credited on-page to the International Telecommunication Union's World Telecommunication/ICT Indicators Database, which makes this the cleanest cross-country panel of mobile penetration you can put underneath a carrier revenue model.
For Integrated Telecommunication Services teams, that panel is the addressable subscriber base itself: 265 rows spanning roughly 217 economies plus regional and income aggregates, carrying 13,017 country-year observations, with the World aggregate climbing from literally zero subscriptions per 100 people in 1960 to 111.5 per 100 people in 2025. A market can be saturated, nascent or in outright subscriber decline, and this series says which - economy by economy, year by year.
What do mobile cellular subscription rows look like?
Two things stand out once you work with the raw shape rather than a chart: every observation is a flat economy-year record, and precision is carried to full float - nothing is pre-rounded for presentation. Verified rows look like this:
# IT.CEL.SETS.P2 -- one row per economy-year
country.value India
countryiso3code IND
date 2022
value 80.1818007717416
country.value India
countryiso3code IND
date 2021
value 81.603974311212
country.value India
countryiso3code IND
date 2020
value 82.2540479927426
country.value India
countryiso3code IND
date 2019
value 82.898144918237
country.value India
countryiso3code IND
date 2018
value 85.5500756367908India's arc across just five years tells the saturation story in miniature: penetration falling from 85.55 subscriptions per 100 people in 2018 toward 80.18 in 2022 as the market consolidates past its connection-count peak. Where an economy reports no observation for a year, the value arrives as null - never zero dressed up as data.
Which fields does the IT.CEL.SETS.P2 dictionary define?
Six fields carry the analysis. Each definition below describes exactly what the delivered column holds; the example column shows the field at work on a real economy-year record.
In bulk tabular deliveries the same series arrives wide instead of long: Country Name, Country Code, Indicator Name and Indicator Code columns followed by one column per year - sixty-six of them, 1960 through 2025. Same values, same identifiers, transposed for spreadsheet-shaped workflows.
Additional fields on request: unit, observation-status flags and decimal-scaling metadata. They travel alongside the core columns in every delivery, and their conventions are confirmed against live records when we prepare your sample - the same pass locks down column naming for your pipeline.
Where does coverage run, and at what grain?
Three chips summarize the footprint:
- Geography: 265 rows - roughly 217 national economies plus World Bank regional and income aggregates such as the Arab World, the Euro area and Europe & Central Asia, so one pull covers mature markets and the still-growing frontier alike.
- Time frame: 1960-2025, one observation per year. Early decades are sparse before handset adoption begins, which is itself signal: the series documents the entire mobile build-out from the first analog networks onward. Most national series currently run through 2024, with 2025 readings on aggregates such as the World row (111.5).
- Granularity: one record per economy-or-aggregate per year - 13,017 populated observations across the full history. No subnational, operator or demographic cut exists here by design; splits like those live in companion indicators on the same shelf.
Against the wider Datadory catalog - average quality score 7.81 across all 1,744 datasets - this slice scores 10/10, carried by complete field documentation and sixty-six years of annual history under one unchanged definition.
How is this data delivered through Datadory?
API, files, or your warehouse. Daily, weekly, or hourly.
You choose the channel and the cadence; the field dictionary above travels unchanged across all three. Bulk files suit overnight warehouse loads, structured payloads suit event-driven pipelines, and the economy-year table lands in CSV-, spreadsheet- and SQL-friendly shapes for analysts who live in a BI tool. Because the grain never changes, switching cadence later is a settings conversation, not a re-integration project.
Who builds on mobile cellular subscriptions data?
Ranked by how directly the series answers their day job:
- Market researchers & consultants. Subscriptions per 100 people is the standard normalizer for mobile market sizing - comparable across 265 economies and aggregates without population rework, and the denominator every ARPU and share-of-market model quietly assumes.
- Competitive intelligence & product teams. The installed base this indicator tracks is the demand pool carriers sell into: penetration curves flag which markets still have headroom and which have flipped into churn-and-consolidation dynamics, as India's post-2018 slide shows.
- Data scientists. A sixty-six-year annual panel of a technology's complete diffusion curve - launch, take-off, saturation, decline - is the textbook training set for adoption modeling, and the economy-year grain drops straight into any dataframe.
- Investors & quants. Subscriber-base trajectories anchor TAM estimates and cross-border comps for carrier portfolios; joining this series to revenue lines turns 'big market' into a defensible growth rate.
Which notes pair with this dataset?
Notes that pair well with this page:
- Integrated Telecommunication Services data hub - the pooled view of the industry, from network quality maps to economic indicators (hub).
- World Bank - Mobile Cellular Subscriptions, absolute counts - the raw connection totals behind these per-capita rates; joined on ISO3 plus year, density and volume reconcile to the same subscriber base (absolute counts).
- ITU World Telecommunication/ICT Indicators Database - Global & Regional Time Series - the collection this indicator draws on, cut globally and regionally in workbook form (ITU slice).
- Individuals Using the Internet (% of Population) - the usage curve that rides on top of the access curve this series documents (internet users).
- nPerf Coverage & Speed Maps (2G/3G/4G/5G) - measured network quality on the ground versus the subscription density on paper (coverage maps).
- Industry guide - how telecom datasets fit together across the catalog (integrated-telecommunication-services data guide).
IT.CEL.SETS.P2 field dictionary: core fields, types, definitions and worked examples
| Field | Type | Definition | Example |
|---|---|---|---|
| country.value | string | Economy or aggregate name the observation belongs to. | India |
| countryiso3code | string | ISO 3166-1 alpha-3 code for the economy, or a World Bank aggregate code. | IND |
| date | string | Observation year. | 2022 |
| value | number | Mobile cellular subscriptions per 100 people; null where no observation exists. | 80.1818007717416 |
| indicator.id | string | Indicator code, constant across the series. | IT.CEL.SETS.P2 |
| indicator.value | string | Human-readable indicator label. | Mobile cellular subscriptions (per 100 people) |
Questions buyers ask
What does IT.CEL.SETS.P2 actually measure?
Mobile cellular subscriptions per 100 people: subscriptions to a public mobile telephone service that provides access to the public switched telephone network using cellular technology. It counts postpaid subscriptions plus active prepaid accounts - those used during the previous three months - and applies to voice-capable mobile subscriptions.
What does the series deliberately exclude?
Data cards and USB modems, public mobile data services, private trunked mobile radio, telepoint, radio paging and telemetry services are all excluded. The boundary matters when comparing markets: a dongle-heavy economy will not inflate its handset penetration here, keeping cross-country reads honest.
How far back does mobile cellular coverage go?
The year span runs 1960 through 2025 - up to sixty-six annual observations per economy. Readings before handset adoption begins are sparse rather than zero-filled, so the earliest usable window varies by market, one reason samples are worth cutting per region before a pipeline commits.
Which countries and aggregates are included?
265 rows: roughly 217 national economies alongside World Bank regional and income aggregates such as the Arab World, the Euro area and Europe & Central Asia. Aggregates let you benchmark a national trend against its region and income class in the same pull, without building rollups yourself.
Why do some recent years arrive empty for certain countries?
Most national series currently end at 2024, while 2025 readings exist mainly on aggregates such as the World row. Missing economy-years deliver as null, never zero - preserving the distinction between a market with no reported figure and a network nobody subscribes to.
Can I evaluate rows before committing to a feed?
That is exactly what the sample is for. Request a sample of this dataset and Datadory returns records matching the field dictionary above, populated for the economies and years you select, with on-request columns confirmed against live values before anything recurring is switched on.
See the rows before you pay anything.
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