AI, Work & Inclusion · standard chamber
Djibouti
Djibouti examined against the institutional questions its shared evidence supports.
Initial review 1 reviewed document 1/12 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 | $4,068 | $4,991 | $6,121 | $4,123 | $5,407 | $7,090 | $4,014 | $4,601 | $5,275 |
| Electricity access | 70.9% | 74.8% | 78.2% | 71.8% | 77.2% | 81.7% | 70.3% | 73% | 75.4% |
| Internet use | 70.7% | 80.7% | 87% | 73.1% | 85.4% | 91.6% | 68.9% | 76.4% | 81.9% |
| Working-age population | 796,930 | 857,474 | 904,486 | 796,930 | 857,474 | 904,486 | 796,930 | 857,474 | 904,486 |
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 | 76.8% (2025) | |
|---|---|---|
| Unemployment | 26% (2025) | |
| Under 15 | 28.8% (2025) | 341,051 people |
| Working age | 66.2% (2025) | 784,152 people |
| Working age (proj.) | 66.4% (2026) | 786,710 people |
| Secondary enrolment | Not measured for this country in the shared register — unexamined, not zero. | |
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.
What kinds of work dominate
Where do people actually work, and how might that change?
| Farm employment | 1.2% (2025) | |
|---|---|---|
| Services employment | 92.2% (2025) | |
| Manufacturing | 5.3% (2024) | |
| Services | 75.7% (2025) | |
| Female participation rate | 19.4% (2025) |
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 | 1.5 / 100 (2023) | |
|---|---|---|
| Internet use | 65.3% (2024) | 773,189 people |
| Mobile subscriptions | 48.5 / 100 (2023) | |
| Electricity access | 69.2% (2024) | 819,381 people |
| Rural electricity | 53.9% (2024) | 638,217 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 | Not measured for this country in the shared register — unexamined, not zero. | |
|---|---|---|
| Tertiary enrolment | 5.2% (2011) | |
| Adult literacy | Not measured for this country in the shared register — unexamined, not zero. | |
| Education spend | 3.8% (2018) | |
| R&D spend | Not measured for this country in the shared register — unexamined, not zero. | |
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 | 1.2% (2025) | |
|---|---|---|
| Services employment | 92.2% (2025) | |
| Private credit | 25.2% (2025) | |
| Account ownership (incl. mobile money) | 12.3% (2011) | 145,332 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) | 12.3% (2011) | 145,332 people |
|---|---|---|
| Private credit | 25.2% (2025) | |
| Remittances | 1.3% (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.
Digital public services
What can a citizen do with the state without queueing?
| Internet use | 65.3% (2024) | 773,189 people |
|---|---|---|
| Account ownership (incl. mobile money) | 12.3% (2011) | 145,332 people |
| Govt effectiveness | -0.49 (2024) | |
| Regulatory quality | -0.85 (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 | -0.49 (2024) | |
|---|---|---|
| Regulatory quality | -0.85 (2024) | |
| Rule of law | -1.01 (2024) | |
| Govt revenue | Not measured for this country in the shared register — unexamined, not zero. | |
| Govt debt | Not measured for this country in the shared register — unexamined, not zero. | |
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Uncertain
A presidential election was expected in April 2026, unconfirmed at the time of review.
Africa's 2026 Elections: Navigating Complexity to Deliver for Citizens Africa Center for Strategic Studies, 2026 · Secondary
Announced versus delivered
How much of what has been announced has actually arrived?
| Intent | 1 | Proposed, announced or approved. Nothing built. |
|---|---|---|
| Underway | 0 | Funded, procured or under construction. |
| Delivered | 0 | Partially or fully in service. |
| Stalled or withdrawn | 0 | Delayed, suspended or cancelled. |
Based on 1 dated record. 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.
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(date the source was published, not necessarily the date of the event)
Election or institutional review period · Uncertain
A presidential election was expected in April 2026, unconfirmed at the time of review.
What this does not establish. Sources conflict, or the status could not be established.
Africa's 2026 Elections: Navigating Complexity to Deliver for Citizens Africa Center for Strategic Studies, 2026 · Secondary
Lived experience
What does the evidence imply for a specific person, and who does it miss?
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Not generated
A young person entering work
Not generated from the available evidence. This situation requires secondary, which is not held for this country. No prose is written in its place.
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Observed Plausible implication
An informal trader or micro-enterprise owner
12.3% of people aged 15 and over held an account at a financial institution or personally used mobile money in 2011; domestic credit to the private sector was 25.2% of GDP in 2025; 92.2% of employment was in services in 2025.
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
1.2% of employment was in agriculture in 2025, producing 2.3% of GDP in 2025; rural household electricity access was 53.9% 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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Not generated
A teacher or learner
Not generated from the available evidence. This situation requires secondary, literacy, which are not held for this country. No prose is written in its place.
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Observed Plausible implication
A citizen using public services
65.3% of people used the internet in 2024; 12.3% of people aged 15 and over held an account or used mobile money in 2011; the government effectiveness estimate was -0.49 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 | 1 |
|---|---|
| Primary or official sources | 0 |
| Decision areas covered | 1 of 12 |
| Indicator coverage | 1 |
| Delivered records | 0 |
| 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.