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Finds the authoritative official source for any statistical indicator, including where to get the latest figures and what to watch for.
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Identifies the most authoritative official source for a given statistical indicator and tells you exactly where to find the most recent figures, what the data covers, and what to watch out for when using it.
Compiles a structured set of credible, ready-to-cite statistics on a specific topic from recognized institutions, government databases, and peer-reviewed research. Useful for journalists, fact-checkers, and report writers who need hard numbers with source verification.
Queries public statistical data from Data Commons (census, health, economic, environmental) via Python API v2. Supports time-series observations, knowledge graph exploration, and entity resolution.
Queries official Stats NZ data including CPI, GDP, population estimates/projections, migration, and CSV catalogue via CLI without API keys or authentication.
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Identifies the most authoritative official source for a given statistical indicator and tells you exactly where to find the most recent figures, what the data covers, and what to watch out for when using it.
Required: The indicator or statistic you are looking for (be as specific as possible — e.g. "youth unemployment rate" rather than just "unemployment"); the country or region you are reporting on Optional: The time period you need (latest available, specific year, time series); the publication you are writing for and its citation style preferences; whether you need a figure comparable across multiple countries
Structured briefing, under 400 words. Sections: Primary source (agency, dataset, release schedule); Where to find it (URL path or navigation instructions, series identifier if applicable); What the measure covers (definition, scope, methodology note); Alternative measures (when they exist and when to use each); Caveats for journalists (what the number does not show, common misreportings to avoid). Plain English throughout — no statistical jargon without immediate explanation.
I'm reporting on youth unemployment in a Western European country with a population of around 10 million. I need the latest official figure, I want to know how it compares internationally, and I need to understand whether the headline number my source quoted is the right one to use.
Primary source The national statistics office publishes a monthly Labour Force Survey (LFS). Youth unemployment — defined as people aged 15–24 who are unemployed and actively seeking work, expressed as a share of the 15–24 labour force — is released in the monthly employment bulletin, usually around 30 days after the reference month. The most recent figures available as of early 2026 cover Q3 2025.
Where to find it On the national statistics office website: navigate to Employment → Labour Force Survey → Monthly bulletin → Table 3 (Unemployment by age group). Download the Excel file; the youth unemployment rate is in column F, seasonally adjusted series.
What the measure covers This is the ILO-standard unemployment rate for the 15–24 age group. "Unemployed" means without work, available to start within two weeks, and actively looked for work in the past four weeks. Students who are not job-seeking are excluded. The denominator is the active labour force (employed + unemployed), not the total youth population — which means the rate can look high even if most young people are in education.
International comparable dataset Eurostat publishes harmonised youth unemployment rates using the same ILO definition across all EU member states. Series code: yth_empl_090. Updated monthly. This is the correct source for any cross-country comparison — national LFS microdata uses identical methodology but may have minor revisions before Eurostat incorporates them.
Alternative measures The NEET rate (Not in Employment, Education or Training) is sometimes quoted alongside youth unemployment and gives a broader picture of labour market exclusion. It is published quarterly by Eurostat (series: edat_lfse_20). Use NEET when your story is about young people outside all productive activity; use the unemployment rate when your story is specifically about job-seeking.
Caveats for journalists