lmiranda
b6d210ec6b
Create neighbourhood-centric dbt transformation layer: Staging (5 models): - stg_toronto__neighbourhoods - Neighbourhood dimension - stg_toronto__census - Census demographics - stg_toronto__crime - Crime statistics - stg_toronto__amenities - Amenity counts - stg_cmhc__zone_crosswalk - Zone-to-neighbourhood weights Intermediate (5 models): - int_neighbourhood__demographics - Combined census with quintiles - int_neighbourhood__housing - Housing + affordability indicators - int_neighbourhood__crime_summary - Aggregated crime with YoY - int_neighbourhood__amenity_scores - Per-capita amenity metrics - int_rentals__neighbourhood_allocated - CMHC via area weights Marts (5 models): - mart_neighbourhood_overview - Composite livability score - mart_neighbourhood_housing - Affordability index - mart_neighbourhood_safety - Crime rates per 100K - mart_neighbourhood_demographics - Income/age indices - mart_neighbourhood_amenities - Amenity index Closes #60, #61, #62, #63 Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
94 lines
2.1 KiB
SQL
94 lines
2.1 KiB
SQL
-- Mart: Neighbourhood Housing Analysis
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-- Dashboard Tab: Housing
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-- Grain: One row per neighbourhood per year
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with housing as (
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select * from {{ ref('int_neighbourhood__housing') }}
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),
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rentals as (
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select * from {{ ref('int_rentals__neighbourhood_allocated') }}
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),
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demographics as (
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select * from {{ ref('int_neighbourhood__demographics') }}
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),
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-- Add year-over-year rent changes
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with_yoy as (
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select
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h.*,
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r.avg_rent_bachelor,
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r.avg_rent_1bed,
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r.avg_rent_3bed,
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r.total_rental_units,
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d.income_quintile,
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-- Previous year rent for YoY calculation
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lag(h.avg_rent_2bed, 1) over (
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partition by h.neighbourhood_id
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order by h.year
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) as prev_year_rent_2bed
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from housing h
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left join rentals r
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on h.neighbourhood_id = r.neighbourhood_id
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and h.year = r.year
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left join demographics d
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on h.neighbourhood_id = d.neighbourhood_id
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and h.year = d.census_year
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),
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final as (
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select
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neighbourhood_id,
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neighbourhood_name,
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geometry,
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year,
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-- Tenure mix
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pct_owner_occupied,
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pct_renter_occupied,
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-- Housing values
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average_dwelling_value,
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median_household_income,
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-- Rental metrics
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avg_rent_bachelor,
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avg_rent_1bed,
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avg_rent_2bed,
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avg_rent_3bed,
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vacancy_rate,
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total_rental_units,
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-- Affordability
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rent_to_income_pct,
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is_affordable,
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-- Affordability index (100 = city average)
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round(
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rent_to_income_pct / nullif(
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avg(rent_to_income_pct) over (partition by year),
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0
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) * 100,
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1
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) as affordability_index,
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-- Year-over-year rent change
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case
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when prev_year_rent_2bed > 0
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then round(
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(avg_rent_2bed - prev_year_rent_2bed) / prev_year_rent_2bed * 100,
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2
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)
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else null
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end as rent_yoy_change_pct,
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income_quintile
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from with_yoy
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)
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select * from final
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