AI, Work & Inclusion · standard chamber
Sudan
Sudan examined against the institutional questions its shared evidence supports.
Initial review 2 reviewed documents 2/12 decision areas
Some country-specific evidence reviewed, but narrow. Most decision areas are unexamined rather than empty.
Standard chamber. Ten countries have deep institutional chambers. This is not one of them, so this page answers the questions the shared indicator data and any reviewed documents support, and stops. What is absent here is unexamined, not measured and found empty.
Scenarios and horizons
What could materially change by 2031 and 2036?
| Momentum | Acceleration | Disruption | |||||||
|---|---|---|---|---|---|---|---|---|---|
| 2026 | 2031 | 2036 | 2026 | 2031 | 2036 | 2026 | 2031 | 2036 | |
| Output per person | $1,095 | $803 | $590 | $1,173 | $1,219 | $1,266 | $1,095 | $803 | $590 |
| Electricity access | 69.1% | 75.8% | 81% | 70.6% | 79.5% | 85.7% | 68.1% | 72.7% | 76.7% |
| Internet use | 26.6% | 30.7% | 34.5% | 30.3% | 36% | 41.3% | 23.9% | 26.7% | 29.4% |
| Working-age population | 30.2m | 34.5m | 39.3m | 30.2m | 34.5m | 39.3m | 30.2m | 34.5m | 39.3m |
Scenarios are arithmetic on observed history under a published assumption. They are not predictions and carry no probability. 2026, 2031, 2036 are the only formal horizons — no value is projected for any year between them.
Youth labour-market entry
How many young people may enter working age, and what does entering the labour market look like?
| Youth unemployment | 12% (2022) | |
|---|---|---|
| Unemployment | 7.5% (2022) | |
| Under 15 | 40.2% (2025) | 20.8m people |
| Working age | 56.4% (2025) | 29.1m people |
| Working age (proj.) | 56.7% (2026) | 29.3m people |
| Secondary enrolment | 43.5% (2019) |
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Operational
UNDP analysis finds the war has set Sudan's economy back more than three decades, with extreme poverty potentially reaching 60% of the population.
War has set Sudan's economy back more than 30 years and extreme poverty could hit 60%, new analysis warns UN Development Programme, 2026 · Primary
What kinds of work dominate
Where do people actually work, and how might that change?
| Farm employment | 39.8% (2022) | |
|---|---|---|
| Services employment | 46.2% (2022) | |
| Manufacturing | 5.1% (2009) | |
| Services | 37% (2025) | |
| Female participation rate | 14.5% (2022) |
Female participation rate — Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate). Percentage of the FEMALE population aged 15 and over who are in the labour force, employed or unemployed.
No reviewed document in this platform's research record bears on this question for this country. That is a gap in the evidence, not a finding about the country.
Infrastructure constraints
What are the physical limits — connection, power, and where they reach?
| Fixed broadband | 0.1 / 100 (2022) | |
|---|---|---|
| Internet use | 18.6% (2017) | 9.6m people |
| Mobile subscriptions | 70.2 / 100 (2022) | |
| Electricity access | 66% (2024) | 34.1m people |
| Rural electricity | 54.2% (2024) | 28m people |
No reviewed document in this platform's research record bears on this question for this country. That is a gap in the evidence, not a finding about the country.
Education and practical AI skills
What is the education base, and what is being built on top of it?
| Secondary enrolment | 43.5% (2019) | |
|---|---|---|
| Tertiary enrolment | 15.9% (2015) | |
| Adult literacy | 53.5% (2008) | |
| Education spend | 2% (2009) | |
| R&D spend | 0.2% (2005) |
No reviewed document in this platform's research record bears on this question for this country. That is a gap in the evidence, not a finding about the country.
Informal enterprise and MSMEs
How may informal enterprises and small firms be affected, and what would let one grow?
| Farm employment | 39.8% (2022) | |
|---|---|---|
| Services employment | 46.2% (2022) | |
| Private credit | 5.6% (2022) | |
| Account ownership (incl. mobile money) | 15.3% (2014) | 7.9m people |
Account ownership (incl. mobile money) — Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+). Percentage of the population aged 15 and over. Counts an account at a bank or other financial institution, OR personal use of a mobile-money service in the past 12 months. Mobile money IS included.
No reviewed document in this platform's research record bears on this question for this country. That is a gap in the evidence, not a finding about the country.
Financial inclusion
Who can be paid, save or borrow — and on what definition?
| Account ownership (incl. mobile money) | 15.3% (2014) | 7.9m people |
|---|---|---|
| Private credit | 5.6% (2022) | |
| Remittances | 2.9% (2022) |
Account ownership (incl. mobile money) — Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+). Percentage of the population aged 15 and over. Counts an account at a bank or other financial institution, OR personal use of a mobile-money service in the past 12 months. Mobile money IS included.
No reviewed document in this platform's research record bears on this question for this country. That is a gap in the evidence, not a finding about the country.
Digital public services
What can a citizen do with the state without queueing?
| Internet use | 18.6% (2017) | 9.6m people |
|---|---|---|
| Account ownership (incl. mobile money) | 15.3% (2014) | 7.9m people |
| Govt effectiveness | -1.79 (2024) | |
| Regulatory quality | -1.66 (2024) |
Account ownership (incl. mobile money) — Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+). Percentage of the population aged 15 and over. Counts an account at a bank or other financial institution, OR personal use of a mobile-money service in the past 12 months. Mobile money IS included.
No reviewed document in this platform's research record bears on this question for this country. That is a gap in the evidence, not a finding about the country.
Institutional implementation capability
Can the state actually deliver what it commits to — fiscally, administratively, and through a political cycle?
| Govt effectiveness | -1.79 (2024) | |
|---|---|---|
| Regulatory quality | -1.66 (2024) | |
| Rule of law | -1.77 (2024) | |
| Govt revenue | 8.8% (2016) | |
| Govt debt | 865.9% (1999) |
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Operational
UNDP analysis finds the war has set Sudan's economy back more than three decades, with extreme poverty potentially reaching 60% of the population.
War has set Sudan's economy back more than 30 years and extreme poverty could hit 60%, new analysis warns UN Development Programme, 2026 · Primary
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Operational
A UN report concludes that a "war economy" is itself sustaining the conflict, exposing global supply chains to human rights risks.
Sudan: "War economy" sustains conflict, UN report warns UN Human Rights Office (OHCHR), 2026-07 · Primary
Announced versus delivered
How much of what has been announced has actually arrived?
| Intent | 0 | Proposed, announced or approved. Nothing built. |
|---|---|---|
| Underway | 0 | Funded, procured or under construction. |
| Delivered | 2 | Partially or fully in service. |
| Stalled or withdrawn | 0 | Delayed, suspended or cancelled. |
Based on 2 dated records. A larger number means more evidence has been reviewed, not that more has happened.
Milestone timeline
What is dated, what state is it in, and what does it not establish?
Between 2026 and 2031
Dated events and published targets falling between the 2026 baseline and the 2031 horizon. No value is projected for these years.
-
(date the source was published, not necessarily the date of the event)
Policy or legislation · Operational
UNDP analysis finds the war has set Sudan's economy back more than three decades, with extreme poverty potentially reaching 60% of the population.
What this does not establish. Delivered and in service. This records the delivery, not its quality, its coverage, or who it reaches.
War has set Sudan's economy back more than 30 years and extreme poverty could hit 60%, new analysis warns UN Development Programme, 2026 · Primary
-
(date the source was published, not necessarily the date of the event)
Election or institutional review period · Operational
A UN report concludes that a "war economy" is itself sustaining the conflict, exposing global supply chains to human rights risks.
What this does not establish. Delivered and in service. This records the delivery, not its quality, its coverage, or who it reaches.
Sudan: "War economy" sustains conflict, UN report warns UN Human Rights Office (OHCHR), 2026-07 · Primary
Lived experience
What does the evidence imply for a specific person, and who does it miss?
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Observed Plausible implication
A young person entering work
40.2% of the population was under 15 in 2025; gross secondary enrolment was 43.5% in 2019; recorded youth unemployment was 12% in 2022.
Plausible implication, not measured: A cohort this size arriving against an enrolment rate below universal means the schooling a young person brings to the labour market varies widely, and a programme pitched above that level selects a minority of them.
What would settle it. Completion rates by sex and location, and destination data six and twelve months after leaving school. Neither is held here.
Who this misses. Young people already out of school, who are outside an enrolment measure by construction.
Evidence used: youth, secondary, youthunemp.
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Observed Plausible implication
An informal trader or micro-enterprise owner
15.3% of people aged 15 and over held an account at a financial institution or personally used mobile money in 2014; domestic credit to the private sector was 5.6% of GDP in 2022; 46.2% of employment was in services in 2022.
Plausible implication, not measured: Being payable is not being financeable. An account is a payment rail, and nothing in this platform establishes that account records are used in any lending decision.
What would settle it. Firm-level credit surveys recording refusals and their reasons, and credit-bureau coverage figures.
Who this misses. Unregistered traders, who are outside most support instruments by design rather than by accident.
Evidence used: account, credit, servemp.
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Observed Plausible implication
A farmer
39.8% of employment was in agriculture in 2022, producing 29.4% of GDP in 2025; rural household electricity access was 54.2% in 2024.
Plausible implication, not measured: Where the employment share far exceeds the output share, the productivity problem and the employment problem are the same problem. Rural power is the constraint on anything requiring storage, processing or irrigation.
What would settle it. Yield and farm-income panels linked to adoption of a specific tool or service.
Who this misses. Farmers without a connection at all, and anyone whose land tenure prevents investment regardless of technology.
Evidence used: agriemp, agrigdp, electricityrural.
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Observed Plausible implication
A teacher or learner
Gross secondary enrolment 43.5% (2019); adult literacy 53.5% (2008); household electricity access 66% (2024).
Plausible implication, not measured: Evening study, device charging and any screen-based material all assume power at home. Where access is short of universal, a digital learning programme reaches the connected fraction of an already-enrolled fraction.
What would settle it. School-level electrification and connectivity audits, and learning outcomes disaggregated by both.
Who this misses. Non-literate adults, for whom a text-based service is unavailable regardless of coverage.
Evidence used: secondary, literacy, electricity.
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Observed Plausible implication
A citizen using public services
18.6% of people used the internet in 2017; 15.3% of people aged 15 and over held an account or used mobile money in 2014; the government effectiveness estimate was -1.79 in 2024.
Plausible implication, not measured: Digitising a service moves it towards the people who can already reach it. Retaining an assisted or offline channel is what decides whether the rest keep access.
What would settle it. Service-level uptake by channel, and the share of transactions still completed in person.
Who this misses. People whose identity documents do not match registry records — unmeasured everywhere in this instrument.
Evidence used: internet, account, goveff.
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Not generated
A rural resident
Not generated from the available evidence. This situation requires water, which is not held for this country. No prose is written in its place.
Each situation is built only where the indicators it names are held for this country. Where they are not, it says so rather than substituting general prose — a situation the evidence cannot support would read as a finding. The observed line is measured; the line marked as a plausible implication is an argument, and it names what would settle it.
Evidence quality and gaps
How much has been reviewed here, how good is it, and what is ageing?
| Documents reviewed | 2 |
|---|---|
| Primary or official sources | 2 |
| Decision areas covered | 2 of 12 |
| Indicator coverage | 1 |
| Delivered records | 2 |
| At intent | 0 |
| Stalled or withdrawn | 0 |
Evidence depth differs between countries and this instrument renders the difference rather than smoothing it. A thin record is a statement about what has been reviewed. It is never a statement about the country, and it is never comparable to another country as a measure of performance.