Category: Economics

  • Where Economics Students Get Data for a Final Year Project in Nigeria: What Each Source Actually Holds (2026)

    Where Economics Students Get Data for a Final Year Project in Nigeria: What Each Source Actually Holds (2026)

    The World Bank indicator API returned 65 annual observations of Nigeria’s GDP growth (1961 to 2025) on 30 August 2026, and exactly one observation of exports as a share of GDP. That gap is the whole lesson of sourcing an economics project in Nigeria: no single source holds the series your topic needs, and the data-source sentence in Chapter Three has to name which one you used, which years it covers and where its holes are.

    Most undergraduate economics projects in Nigeria are secondary-data, annual time-series studies: the effect of exchange rate on inflation, of public debt on growth, of interest rates on investment, of agricultural output on GDP. They stand or fall on the data table in the appendix. This page lists the sources Nigerian economics departments accept, what each one holds as measured on 30 August 2026, how to cite each in APA 7th, and how the data sentence in Chapter Three should read. It is the economics companion to the banking and finance topic list, which sorts banking topics by the data source they depend on.

    The five sources, and what each one actually holds

    Source What it holds Frequency Access on 30 August 2026
    CBN Statistical Bulletin (Central Bank of Nigeria) Money supply, credit, interest rates, exchange rates, public finance, external sector, real sector, in annual tables Annual edition; quarterly bulletin also published Annual Statistical Bulletin page on cbn.gov.ng loads in a browser; the PDF is served to browsers, not to scripts. Older editions (semiannual bulletins from 1992 to 1998, and the 2015 edition split by section) sit in the CBN digital commons repository
    CBN Statistics Database (statistics.cbn.gov.ng) Time series across the monetary, external, fiscal and real sectors: monetary aggregates, money market rates, government securities, balance of payments, trade, reserves, CPI, GDP, debt, and federal, state and local government finance Monthly, quarterly and annual Live; Data Browser and metadata pages open without a login
    National Bureau of Statistics (nigerianstat.gov.ng) GDP reports, CPI and inflation, Labour Force Survey, General Household Survey, trade, and the national accounts on which the CBN real-sector tables rest Quarterly GDP, monthly CPI Reachable in a browser session on the morning of 30 August 2026 and refusing connections eight hours later; download reports the moment the site answers
    World Bank World Development Indicators (data.worldbank.org and the indicator API) Long annual series for Nigeria compiled from NBS, CBN and IMF returns; the deepest freely downloadable annual coverage Annual, updated in batches (last update 13 July 2026) Live; one URL per indicator returns the whole series as JSON or CSV
    IMF DataMapper (World Economic Outlook) Real GDP growth, inflation and general government gross debt for Nigeria, with projections to 2031 Annual, two editions a year Live; the DataMapper API answered without a login on 30 August 2026, while data.imf.org refused the script

    Two supporting sources complete the set. The Debt Management Office publishes Nigeria’s total public debt quarterly; the statement for 31 March 2026 was posted on 30 June 2026, with quarterly statements back to June 2023 listed. The Nigerian Exchange Group’s market data pages serve capital market topics, though downloadable price history is a data product rather than a free table.

    How many years of each series the World Bank actually has for Nigeria

    A coverage table checks, before the topic is approved, that the series exists for the years the topic claims. Every row below was read from the World Bank indicator API on 30 August 2026 (data last updated 13 July 2026).

    Indicator (World Bank code) Years with data Observations Latest value
    GDP growth, annual % (NY.GDP.MKTP.KD.ZG) 1961 to 2025 65 4.0% in 2025
    Inflation, consumer prices, annual % (FP.CPI.TOTL.ZG) 1960 to 2025 66 23.0% in 2025, down from 33.2% in 2024
    GDP per capita, current US$ (NY.GDP.PCAP.CD) 1960 to 2025 66 US$1,224 in 2025
    Official exchange rate, naira per US$, period average (PA.NUS.FCRF) 1960 to 2025 66 1,518.38 in 2025
    Foreign direct investment, net inflows, current US$ (BX.KLT.DINV.CD.WD) 1970 to 2025 56 US$4.01 billion in 2025
    External debt stocks, total, current US$ (DT.DOD.DECT.CD) 1970 to 2024 55 US$108.8 billion in 2024
    Broad money, % of GDP (FM.LBL.BMNY.GD.ZS) 1960 to 2023 64 25.1% in 2023
    Lending interest rate, % (FR.INR.LEND) 1970 to 2023 54 14.0% in 2023
    Current account balance, current US$ (BN.CAB.XOKA.CD) 1977 to 2025 49 US$14.0 billion in 2025
    Agriculture, forestry and fishing, value added, % of GDP (NV.AGR.TOTL.ZS) 1981 to 2025 45 23.0% in 2025
    Unemployment, modelled ILO estimate, % (SL.UEM.TOTL.ZS) 1991 to 2025 35 3.1% in 2025
    Government expenditure on education, % of GDP (SE.XPD.TOTL.GD.ZS) 14 scattered years, 1974 to 2023 14 0.3% in 2023
    Poverty headcount at US$3.00 a day, 2021 PPP (SI.POV.DDAY) 9 survey years, 1985 to 2022 9 41.8% in 2022
    Exports of goods and services, % of GDP (NE.EXP.GNFS.ZS) 1960 only 1 Unusable as a series
    Central government debt and expenditure, % of GDP (GC.DOD.TOTL.GD.ZS, GC.XPN.TOTL.GD.ZS) None 0 No Nigerian values in the source

    Read the bottom three rows first. A topic on trade openness and growth cannot be run from this source, and a topic on government expenditure has to go to the CBN Statistical Bulletin’s public finance tables. Fourteen scattered observations of education spending will not support a regression. Series that stop in 2023 (broad money, lending rate) are not late; the source has not received the 2024 return, and your data sentence should say the series ends in 2023.

    A Nigerian economics student checking a coverage table of annual data series against a printed list of project variables
    Check the years before the topic is approved. A variable with one observation is a variable you do not have.

    What the IMF adds that the World Bank does not

    The IMF DataMapper carries projections, which the World Bank does not. On 30 August 2026 it held Nigerian real GDP growth for 1991 to 2031 (41 values), consumer price inflation for 1996 to 2031, and general government gross debt as a share of GDP for 1990 to 2031. The IMF’s readings for 2024 were growth of 4.1%, inflation of 33.2% and gross debt of 39.3% of GDP; its projection for 2026 was growth of 4.1% and inflation of 16.0%. Two rules follow. Never mix a projection into an estimation sample: the sample ends at the last actual year. And where the IMF and World Bank readings for the same year differ by a few tenths, state which one you used and use it for the whole series.

    Where microdata comes from when the topic is household-level

    A project on household welfare, food security or informal enterprise is not a time-series project and should not pretend to be one. The General Household Survey-Panel, run by the NBS with the World Bank’s Living Standards Measurement Study, has four completed waves available free of charge from the World Bank Microdata Library after registration: 2010 to 2011, 2012 to 2013, 2015 to 2016 and 2018 to 2019. The NBS announced the launch of Wave 5 in November 2024. The same NBS homepage, read on 30 August 2026, records a stakeholder workshop on the GDP and CPI rebasing exercise in May 2024: check the base year printed on a GDP report before you splice it to an older vintage.

    How to state the data source in Chapter Three

    Panels read the data-source paragraph under the research design for four things: the source, the years, the frequency and the transformation. The paragraph below is written for a project on exchange rate and inflation.

    The study uses annual secondary data covering 1981 to 2024, a period of 44 observations. Inflation (annual percentage change in the consumer price index) and the official exchange rate (naira per US dollar, period average) were obtained from the World Bank’s World Development Indicators, last updated 13 July 2026; broad money as a share of GDP was obtained from the same source, and, because the series ends in 2023, the 2024 value was taken from the CBN Statistical Bulletin and its source noted in the data appendix. All variables except rates were transformed to natural logarithms before estimation.

    One source per variable, named with its update date, and a stated rule for any year that came from elsewhere: that is what keeps the panel quiet. The general shape of the chapter, for a questionnaire study as much as a secondary-data one, is in the guide to writing Chapter Three section by section.

    Which estimation methods Nigerian economics panels expect, and the primary sources to cite

    With 40 to 65 annual observations the standard sequence is descriptive statistics, unit root tests, a cointegration test chosen by the order of integration, long-run and short-run estimates, and diagnostics. Each step has a primary source, and citing it rather than a textbook separates a strong Chapter Three from a copied one. All five references were checked against the Crossref record on 30 August 2026.

    Step Method Primary source
    Unit root Augmented Dickey-Fuller test Dickey, D. A., and Fuller, W. A. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(366), 427 to 431. https://doi.org/10.1080/01621459.1979.10482531
    Cointegration, all variables I(1) Johansen test Johansen, S. (1988). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12(2 to 3), 231 to 254. https://doi.org/10.1016/0165-1889(88)90041-3
    Cointegration, mixed I(0) and I(1) ARDL bounds test Pesaran, M. H., Shin, Y., and Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289 to 326. https://doi.org/10.1002/jae.616
    Short-run dynamics Error correction model Engle, R. F., and Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251 to 276. https://doi.org/10.2307/1913236
    Direction of effect Granger causality test Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424 to 438. https://doi.org/10.2307/1912791

    The test is chosen by the data, not by fashion: run the unit root tests first, and let the mix of I(0) and I(1) results decide between Johansen and ARDL. Which test answers which shape of research question, for questionnaire projects as well, is set out in the answer to which statistical test a final year project should use; presenting the resulting tables in the order of the hypotheses is in the guide to writing Chapter Four.

    How to cite each source in APA 7th

    A data set is cited with the organisation as author, the year of the edition or update, the title, the bracketed description, the publisher where it differs from the author, and the URL. The in-text form is the organisation and year, for example (Central Bank of Nigeria, 2025).

    • Central Bank of Nigeria. (2025). Statistical bulletin [Data set]. https://www.cbn.gov.ng/documents/Statbulletin.html
    • Central Bank of Nigeria. (2026). CBN statistics database [Data set]. https://statistics.cbn.gov.ng/
    • National Bureau of Statistics. (2026). Nigerian gross domestic product report [Data set]. https://www.nigerianstat.gov.ng/
    • World Bank. (2026). GDP growth (annual %) – Nigeria [Data set]. World Development Indicators. https://data.worldbank.org/indicator/NY.GDP.MKTP.KD.ZG?locations=NG
    • International Monetary Fund. (2026). World economic outlook: Real GDP growth, Nigeria [Data set]. https://www.imf.org/external/datamapper/NGDP_RPCH@WEO/NGA
    • Debt Management Office. (2026). Nigeria’s total public debt as at March 31, 2026 [Data set]. https://www.dmo.gov.ng/debt-profile/total-public-debt

    Use the edition year of a printed bulletin and the update year of a live database, and put the download date in the data appendix, formatted in whichever style your department binds you to.

    Where the Nigerian empirical literature is published

    The empirical review should include Nigerian studies that used the same series, and they cluster in a few journals. On African Journals Online, a search for Nigerian economics on 30 August 2026 surfaced the African Journal of Economic Review, the Lapai Journal of Economics, Economic and Policy Review and the Journal of Policy and Development Studies among the first results; the Central Bank of Nigeria publishes the CBN Journal of Applied Statistics from its data and statistics pages. Counting how many Nigerian studies already exist on your exact pair of variables, and turning that count into the gap statement, is the job of the piece on checking whether your project topic has already been studied. The graduate unemployment figures many Chapter Ones open with, and the series break behind them, are read live in the article on graduate unemployment statistics in Nigeria.

    Build the data appendix and the methodology around it

    Tesify keeps your variables, their sources, their years and their transformations in one project, so the data-source paragraph in Chapter Three, the reference-list entries for each data set and the appendix table are written from the same record and never disagree with each other. The automatic bibliography formats the five method references above in APA or your department’s style. There is a free plan and no card is required.

    Draft your economics project data chapter in Tesify

    Frequently asked questions

    Where do economics students get data for a final year project in Nigeria?

    From five sources: the CBN Statistical Bulletin, the CBN Statistics Database, the National Bureau of Statistics, the World Bank World Development Indicators and the IMF World Economic Outlook, supplemented by the Debt Management Office for public debt and the Nigerian Exchange for capital market data.

    How many years of data do I need for a time-series economics project?

    At least 30 annual observations for a cointegration study, and 40 or more is safer. The World Bank holds 65 years of Nigerian GDP growth and 66 of inflation, so the constraint is usually the explanatory variable with the shortest series, not GDP.

    Is the CBN Statistical Bulletin free?

    Yes. The annual bulletin is published on the CBN website and its statistics database is open without a login. On 30 August 2026 the bulletin PDF was served to a browser but not to a download script, so download it from the page rather than from a saved link.

    Why does the World Bank have no exports series for Nigeria?

    The indicator for exports as a share of GDP held a single observation, for 1960, when read on 30 August 2026. The World Bank has not received a usable Nigerian series for it. Trade topics should take export figures from the CBN external-sector tables or the NBS foreign trade reports instead.

    Can I use IMF projections in my regression?

    No. Projections are forecasts, not observations. End the estimation sample at the last actual year and, if you want to discuss the outlook, cite the projection in Chapter Five as a projection.

    What if the NBS website is down when I need it?

    It was reachable and unreachable within the same day on 30 August 2026. Download every report you need in one session, keep the PDFs, and cite the report title and year rather than a URL that may not answer when the panel checks it.

    Should I use World Bank or CBN figures when they differ?

    Either, provided you use one source per variable for the whole series and say which. Small differences are usually vintage or base-year differences rather than disagreements.