Justice pitch: argue from the statistics
Ākonga build an evidence-based argument about housing outcomes across populations, including Māori and Pasifika data sovereignty considerations, and name what the data cannot settle.
- Years 9–10 move: Statistical argument with its own limits named
- Evidence it produces: A claim citing specific figures, plus what the data cannot establish
Before you plan from this: the justice pitch below is now authored into the lesson body. The other route's body still overlaps strongly with this one but differs in emphasis — choose either route on topic and year band.
Cultural Statistics: Demographics
Demographics and identity in data
Ako | Learning Intentions
- Know: How to interpret census data tables and graphs.
- Do: Analyse trends in Te Reo Māori speakers over the last 3 censuses.
- Understand: That data can tell powerful stories about cultural survival and growth.
He Kōrero Tīmatanga - Introduction
Statistics help us understand who we are as a nation. The Census is like a mirror held up to Aotearoa every 5 years. What does it show us about our culture?
Discussion Starter
"Is Aotearoa getting younger or older? Is it getting more diverse?"
Predict: What percentage of people speak Te Reo Māori today vs 2013?
Part 1: Census Data Dive
We will examine the age-structure of the Māori population vs the European population.
📊 Population Pyramids
Compare two shapes:
- Māori Population: Wide base (Young population). Median age ~27.
- European Population: Narrow base (Aging population). Median age ~41.
Question: What does this mean for the future workforce? For schools? For healthcare?
Part 2: Te Reo Māori Revitalisation
Analyse the data on Te Reo speakers. Illustrative figures for the exercise — not census data.
| Year | Percentage Speakers |
|---|---|
| 2013 | 3.7% |
| 2018 | 4.0% |
| 2023 | 4.3% |
Task: Calculate the percentage increase between 2013 and 2023.
Caution: Be careful with "percentage points" vs "percentage growth".
Assessment Preparation
For your assessment, you will choose one dataset (Housing, Sustainability, or Culture) and produce a report.
Your report must include:
- Problem Statement: What are you investigating?
- Method: What calculations or graphs did you use?
- Findings: What did the numbers show?
- Conclusion: What does this mean for Aotearoa?
Kaiako Notes
Real figures are kaiako-supplied — the te reo speaker table above is illustrative, not census data. Use this lesson to tackle misconceptions about statistics. Show how data can be manipulated, and the importance of looking at the source.
📋 Teacher Planning Snapshot
Ngā Whāinga Ako — Learning Intentions
Students read Aotearoa's demographic data — a census dive, population pyramids, and the te reo revitalisation record — and build a data-backed argument: what the numbers show, which display shows it best, and what a fair reading supports.
Ngā Paearu Angitū — Success Criteria
- ✅ Can create multiple data visualisations for an investigation and select appropriate scales
- ✅ Can calculate and interpret percentage change in demographic data, including the te reo speakers record
- ✅ Can build a data-backed argument about equity or revitalisation, citing their own displays and calculations
Differentiation & Inclusion
Scaffold support: Provide population-pyramid templates and a worked percent-change example as an entry point. Extension tasks include a time-series investigation of one revitalisation measure.
ELL / ESOL: Pre-teach demographic vocabulary alongside contextual terms (rangatiratanga, revitalisation); use bilingual labelling on displays and real census extracts to ground abstract percentages.
Inclusion: Offer manipulatives and digital tools alongside written tasks; neurodiverse learners benefit from step-by-step data investigation guides and reduced open-ended prompts.
Mātauranga Māori lens: Census and te reo statistics describe real communities — whanaungatanga and tino rangatiratanga sit behind the percentages. Treat each figure as a count of people, not an abstraction.
Prior knowledge: Percentage change calculations; reading simple data tables and graphs.
Curriculum alignment
- Te Mātaiaho (2025) · Mathematics and Statistics · Phase 4 (Years 9–10) · Statistics (Practices): “- Creating multiple data visualisations for an investigation - Selecting appropriate scales for data”
- NZC (2007) · Mathematics and Statistics · Level 5: “Plan and conduct surveys and experiments using the statistical enquiry cycle: – determining appropriate variables and measures; – considering sources of variation; – gathering and cleaning data; – using multiple displays, and re-categorising data to find patterns, variations, relationships, and trends in multivariate data sets; – comparing sample distributions visually, using measures of centre, spread, and proportion; – presenting a report of findings.”