The Global Centre for Risk and Innovation (GCRI)
Digital technologies change how firms sell, how people pay, learn and find work, and how governments deliver services. Gains depend on connectivity, affordability, skills and trust, and many people and small firms remain excluded. This page sets out how digital adoption drives development and where it excludes, how inclusion is measured, and what evidence serves the ministries, regulators and agencies working to widen access.
GCRI · In development · service level R0
Digital inclusion is the extent to which people and firms can access, afford and use digital technologies and benefit from them. Many live under coverage without using the internet, mobile money widens financial access, and gaps follow existing divides of gender, location, age and disability.
For digital economy and inclusion, in GCRI's spatial-intelligence reading, the map opens on night lights, population density and true-colour imagery with true colour from NASA GIBS, framed on Africa; every other NASA layer, live feed and forecast waits in the layer list.
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NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth
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For digital economy and inclusion, in GCRI's spatial-intelligence reading, the map opens on night lights, population density and true-colour imagery with true colour from NASA GIBS, framed on Africa; every other NASA layer, live feed and forecast waits in the layer list.Satellite and model products as NASA publishes them, each with its own date; indicators, not assessments of any place; claim ceiling INTEGRATED.
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The working screen behind this subject: its structure, terms and states. Names are placeholders and values illustrative.
Technology diffusion and inequality. The dossier below sets out how the risk develops, what is measured, where the data come from, how it is modelled and who decides.
Many people live under mobile broadband coverage but do not use the internet, because of device costs, data prices, skills or relevance.
Mobile money and digital payments bring people into formal finance, lowering transaction costs and enabling transfers.
Women, rural residents, older people and people with disabilities are less likely to be online, reinforcing other inequalities.
Digital platforms connect buyers and sellers widely, but market power can let a few platforms capture much of the value.
Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.
| Term | Definition |
|---|---|
| Usage gap | People living within mobile broadband coverage who do not use mobile internet. |
| Coverage gap | The people who live outside the coverage of any mobile broadband network. |
| Financial inclusion | Access to and use of useful, affordable financial services by individuals and firms. |
Each indicator carries its unit, its cadence, the kind of source behind it and the evidence label a value would carry. No values are shown: a programme supplies them under its own authority.
| Indicator | Unit | Cadence | Source type | Label |
|---|---|---|---|---|
| Individuals using the internet | percent of population | annual | ITU estimates and household surveys | ESTIMATED |
| Mobile broadband usage gap | percent of population covered but not using | annual | GSMA and ITU data | ESTIMATED |
| Account ownership including mobile money | percent of adults | per survey | Global Findex | REPORTED |
| Gender gap in mobile internet use | percent difference | annual | Mobile gender gap surveys | REPORTED |
| Cost of entry-level mobile broadband | percent of monthly income | annual | Affordability data | OFFICIAL |
| Firms selling online | percent of firms | per survey | Business surveys | REPORTED |
The topic as a computational graph: named sources feed the methods, an evidence review gates the outputs, and the decisions stay with the authorities that hold them.
Fig. 02Nodes carry their type, two metric rows and a state; connectors show what feeds what; dashed frames name the owners; the timeline is the cadence. Design of the pipeline, not a record of a run.
Named public datasets and institutional records, each with its licence class. Sources by agreement are used only under their terms and never republished.
| Source | What it gives | Licence class |
|---|---|---|
| ITU Facts and Figures and ICT indicators | Internet use and connectivity by country | Public, ITU terms (to check) |
| World Bank Global Findex Database | Account ownership and digital payments | Open, CC BY 4.0 |
| GSMA State of Mobile Internet Connectivity and Mobile Gender Gap reports | Coverage, usage gaps and gender gaps | Public reports, GSMA terms |
| Alliance for Affordable Internet affordability data | Broadband prices relative to income | Public, terms to check |
| UNCTAD digital economy statistics | E-commerce and ICT trade | Public, UNCTAD terms |
Economic Development prepares evidence. The decisions below are taken by the authorities named, under their own rules, and never by the platform.
| Who decides | The question | Evidence this page serves |
|---|---|---|
| Ministries of digital economy and ICT | Which inclusion barriers to address first | Inclusion profiles; usage gap analyses |
| Telecom and financial regulators | How to improve affordability and competition | Affordability evidence |
| Development partners | Which digital inclusion programmes to support | Evaluation evidence |
Technologies spread unevenly. Adoption depends on infrastructure, affordability, skills, relevance and trust. Divides appear between urban and rural areas, men and women, young and old, and large and small firms. Mobile connectivity has extended access widely, but quality and affordability vary.
Digital tools can reduce transaction costs and information gaps. Mobile money has expanded access to payments and savings in many economies; online platforms connect small producers to markets. Benefits depend on complementary factors: reliable power, literacy, legal protections and competitive markets.
Digitalisation also concentrates. Network effects favour large platforms, which can capture value and set terms for users. Dependence on digital systems creates exposure to outages, cyber incidents and fraud.
Household and firm surveys of digital adoption. Rapid change makes data quickly outdated.
Payment and platform records. Access is restricted and raises privacy concerns.
Studies of digital programmes using causal inference. Effects vary with context.
Analysis of platform competition using economics. Digital markets change fast.
Effects of digital technologies are often measured over short periods; long-run effects on productivity and distribution remain uncertain.
The current service level is R0: information and enquiries. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.