Nigerians with advanced education faced 9.2% unemployment in 2024, against a national rate of 3.04% in the same year — roughly three times higher.
That inversion is the single most useful labour-market fact a Nigerian final year project can carry, and almost no Chapter One states it. Most quote a general unemployment figure, often a double-digit one from an older series, and never separate graduates from the labour force as a whole.
Every figure below was read directly from the World Bank indicator API on 18 August 2026. Each series carried a lastupdated stamp of 13 July 2026, which is the date to cite alongside the number.
The headline figures
| Indicator | Latest value | Year | Source |
|---|---|---|---|
| Unemployment with advanced education (% of labour force with advanced education) | 9.2% | 2024 | World Bank, SL.UEM.ADVN.ZS (updated 13 Jul 2026) |
| Unemployment, total (modelled ILO estimate) | 3.04% | 2024 | World Bank, SL.UEM.TOTL.ZS (updated 13 Jul 2026) |
| Unemployment, total (national estimate) | 3.45% | 2024 | World Bank, SL.UEM.TOTL.NE.ZS (updated 13 Jul 2026) |
| Youth unemployment, ages 15–24 (modelled ILO estimate) | 5.09% | 2024 | World Bank, SL.UEM.1524.ZS (updated 13 Jul 2026) |
Read the first two rows together. Whatever you believe about the absolute level, the ratio is the finding: education does not shield you from unemployment in the Nigerian labour market on these figures — it is associated with a rate three times the national one.
That is a rationale for an enormous number of Nigerian project topics: graduate employability, entrepreneurship education, skills mismatch, curriculum relevance, industrial training. If your project sits in any of those areas, this is your background paragraph.
The graduate series, year by year
| Year | Unemployment with advanced education (%) |
|---|---|
| 2016 | 14.51 |
| 2019 | 11.16 |
| 2022 | 6.72 |
| 2023 | 6.17 |
| 2024 | 9.20 |
Note two things a careful supervisor will notice. The series is gappy — there are no values for 2017, 2018, 2020, 2021 or 2025 — so you cannot draw a continuous line through it. And it moves substantially between adjacent published years, rising from 6.17% to 9.20% between 2023 and 2024.
Quote individual years with their year attached. Do not describe this as a trend.

🔴 Why the number you remember is much higher
If you have a Nigerian unemployment figure in your head, it is probably in double digits, and you will find double-digit figures throughout the literature you are about to cite. Here is what the series actually shows.
| Year | Modelled ILO estimate (%) | National estimate (%) |
|---|---|---|
| 2014 | 3.90 | 4.56 |
| 2016 | 4.50 | 7.06 |
| 2017 | 4.83 | 8.39 |
| 2019 | 5.21 | 4.45 |
| 2020 | 5.71 | — |
| 2021 | 5.40 | — |
| 2022 | 3.83 | 3.83 |
| 2023 | 3.07 | 3.07 |
| 2024 | 3.04 | 3.45 |
| 2025 | 3.06 | — |
Two features matter for your manuscript.
The national estimate breaks. It reports 8.39% in 2017 and 4.45% in 2019, then 3.07% in 2023. A halving and more, with gaps in between. A series that moves like that has had something change in how it was produced.
The two series diverge and then converge. In 2017 the modelled and national estimates were 4.83% and 8.39% — nearly two-fold apart. By 2022 and 2023 they report identical values. Two measures agreeing exactly, after years of disagreeing substantially, is itself a signal about the underlying source.
This article does not assert why. Nigeria’s national statistics office would be the place to check, and nigerianstat.gov.ng refused the connection entirely when this article was prepared — not a 403, no response at all. So the cause is not stated here, because it could not be verified, and you should not accept it from a secondary source either.
What you can and should do is state precisely what you are citing:
Nigeria’s unemployment rate stood at 3.04% in 2024 (World Bank, SL.UEM.TOTL.ZS, modelled ILO estimate, updated 13 July 2026), while unemployment among those with advanced education was 9.2% in the same year (World Bank, SL.UEM.ADVN.ZS). Figures on earlier national bases are substantially higher and are not directly comparable.
That sentence cannot be broken by a panellist opening the dataset, because it says exactly which series, which year and which basis. “Nigeria’s unemployment rate is 33%” can be broken in about fifteen seconds.
Reading older literature without importing its numbers
You will cite Nigerian studies from 2018 to 2023 that quote unemployment figures far above these. That is not a reason to avoid them, and it is not a reason to repeat their numbers as current.
The convention that works:
- Cite the study for its findings, which are about its respondents and remain valid.
- Attribute any figure to the study’s own year and basis — “Adeyemi (2021) reported an unemployment rate of X per cent, on the basis then in use”.
- Use the current series for any claim you make in your own voice, with the year and indicator attached.
- Say once, explicitly, that the bases differ, so a reader does not think you have contradicted yourself.
That fourth step is the one students skip, and it is what turns an apparent inconsistency into evidence of care. The synthesis method that keeps this straight across a whole chapter is in the guide to writing Chapter Two.
Youth unemployment is a different population again
| Year | Youth unemployment, ages 15–24 (%) |
|---|---|
| 2019 | 10.42 |
| 2020 | 10.84 |
| 2021 | 8.99 |
| 2022 | 6.02 |
| 2023 | 5.13 |
| 2024 | 5.09 |
| 2025 | 5.34 |
Students routinely use “youth unemployment” and “graduate unemployment” interchangeably. They are not the same measure. The 15–24 age band includes people who never entered tertiary education and excludes most people who completed a degree and a service year, so it is the wrong series for a project about graduates.
Use SL.UEM.ADVN.ZS for graduates. Use the youth series only if your study is actually about young people as an age group.

🔴 What the World Bank does not have for Nigeria
This is worth stating so you stop searching, and it is a finding in its own right.
Checked live on 18 August 2026, the World Bank publishes for Nigeria:
- No tertiary gross enrolment ratio at all (SE.TER.ENRR returns no values).
- No tertiary graduate count (SE.TER.GRAD returns no data).
- No tertiary enrolment total (SE.TER.ENRL returns no values).
- No tertiary pupil–teacher ratio (SE.TER.ENRL.TC.ZS returns no values).
So there is no national graduation rate to cite from this source, and a project that needs one has to say so rather than substitute something adjacent.
One tertiary indicator does return values, and it is a cautionary example rather than a usable figure. Educational attainment, at least a bachelor’s degree (SE.TER.CUAT.BA.ZS), reports: 2021 10.97% · 2022 3.48% · 2023 3.80% · 2024 10.57%. A measure of completed degrees cannot fall by two-thirds and then triple in three years. That is survey-to-survey variation, not the world changing, and it must never be quoted as a trend or as a point estimate without that caveat.
For institution counts and enrolment, use the Nigerian sources instead — the register is covered in how many universities there are in Nigeria and enrolment in how many university students Nigeria has. Admissions are covered in the article on JAMB’s 2026 minimum admission scores.
How to check any of this yourself
The World Bank indicator API is open, needs no key, and returns JSON in a browser:
https://api.worldbank.org/v2/country/NG/indicator/SL.UEM.ADVN.ZS?format=json&date=2014:2026
Swap the code for SL.UEM.TOTL.ZS, SL.UEM.TOTL.NE.ZS or SL.UEM.1524.ZS to reproduce every table here. The response carries a lastupdated field, which is the date you cite.
Run the query yourself rather than copying a figure from another project. It takes a minute, it gives you the current value, and it means you can answer “where did that number come from?” with a URL instead of a shrug — which is exactly the kind of question a project defence produces. The same discipline applies to the connectivity figures in student internet access in Nigeria.
Keep every figure attached to the source you opened
Tesify keeps citations attached to the sources you actually opened while you draft, so a background section built on national statistics can be traced line by line when a panel asks where a number came from. Over 9,000 students have used it to write more than 15,000 chapters, and 100 per cent of the work is still written by you.
Frequently asked questions
What is the graduate unemployment rate in Nigeria?
Unemployment among those with advanced education was 9.2% in 2024, according to World Bank indicator SL.UEM.ADVN.ZS as updated on 13 July 2026. That is roughly three times the national rate of 3.04% in the same year.
Why is the national rate so much lower than I expected?
The published series reports 3.04% for 2024 on the modelled ILO estimate and 3.45% on the national estimate, while earlier years on the national basis are much higher — 8.39% in 2017. Something changed in how the figure is produced. This article does not assert what, because Nigeria’s national statistics office could not be reached to verify it.
Can I still cite the higher figures from older studies?
Yes, attributed to their own year and basis. Cite the study for its findings, attach the year to any figure you take from it, and use the current series for claims you make in your own voice. Say once that the bases differ.
Is youth unemployment the same as graduate unemployment?
No. The youth series covers ages 15 to 24 regardless of education and was 5.09% in 2024. Most graduates are outside that band by the time they finish, and most of the band never entered university. Use the advanced-education series for graduates.
What is a modelled ILO estimate?
A figure produced on a harmonised international basis so that countries can be compared, as distinct from the national estimate reported on a country’s own definitions. The World Bank publishes both for Nigeria, and they have not always agreed.
Is there a national graduation rate for Nigerian universities?
Not from the World Bank. Its tertiary graduate, enrolment and gross enrolment ratio indicators all return no data for Nigeria. A project needing a graduation rate has to say the figure is unavailable rather than substitute an adjacent measure.
Can I use the educational attainment indicator?
Not as a point estimate or a trend. It reports 10.97% for 2021, 3.48% for 2022, 3.80% for 2023 and 10.57% for 2024, which is survey variation rather than real change. If you use it at all, quote a single year and state the volatility explicitly.
How do I cite the World Bank in APA 7th?
Treat it as a dataset with the World Bank as author, the indicator name as the title, the year, and the indicator or API URL. Do not put a period after the URL.
Where do these figures belong in my project?
Background of the study in Chapter One, where they establish the problem your project addresses. They do not belong in Chapter Four, which reports your own data. The section-by-section structure is in the guide to writing Chapter One, and the future-tense version for a proposal is in the guide to writing a research proposal.
How often do these figures change?
The World Bank restates its series periodically, and values are revised as well as extended. Re-run the query rather than reusing a figure saved earlier in the session — the gaps and jumps in these tables show exactly why.
Should I use a percentage or an absolute number?
Percentages, because these indicators are published as rates and converting them to headcounts requires a labour force denominator you would have to source separately and date consistently. A rate with its year and indicator is defensible; a derived headcount usually is not.
