🎯 Learning Intention

I will collect and organize credible data on jobs and housing in San Bernardino County.

✅ Success Criteria

I know I’ve got it when my team has added at least 2 charts and 1 housing source to the Research Backbone Doc.

🧠 Tech Journal Prompt (5 min)

Why does connecting jobs and housing data matter for civic engagement? Give one reason it affects people’s lives.

📚 Vocabulary (Quick Hit Review)

• Census Data – official statistics about population, housing, and income.
• Median Income – the middle value of wages, showing what a “typical” worker earns.

📣 Mini-Lesson / Lecture (10–12 min)

1. Teacher demo:
   • Show how to use data.census.gov to pull one chart about median rent or household income.
   • Copy chart → paste into Doc → add a 1-sentence insight.
2. Model: “Median rent in SB = $1,590. Median income = $57,000. This shows housing affordability issues.”
3. Quick discussion: Why is this better than quoting a random blog or article?

🤝 Work Time (30–35 min)

• In teams, expand Research Backbone Docs:
  • Add 2 charts (ex: wages, rent, population change).
  • Add 1 housing source (Zillow, city planning doc, or Census housing table).
  • Write 1–2 sentence insights for each data point.
• Teacher circulates:
  • Spot-check sources.
  • Help teams copy charts cleanly into Docs.
  • Push for insight (“What does this number mean for SB?”).