Motivated Renter Index
Download market-level motivated renter index data.
Composite 0-10 score measuring how motivated a landlord/property manager is to lease a rental property. Uses continuous weighted scoring with DOM (50%), rent reductions (20%), magnitude (15%), and days between reductions (15%).
Format
CSV download
Coverage
US — 50,000+ markets
What you get
A CSV with 26 columns. Sample below pulled live from the Parcl Labs MCP server for the Austin–Round Rock–Georgetown, TX metro.
parcl_id | market_motivated_renter_index_value | market_motivated_renter_index_label | desperate_to_lease_count | motivated_count | stubborn_count | neutral_count | total_count | avg_days_on_market | avg_num_rent_reductions | avg_percent_change_listing_rent | avg_days_between_rent_reductions | desperate_to_lease_avg_days_on_market | motivated_avg_days_on_market | stubborn_avg_days_on_market | neutral_avg_days_on_market | desperate_to_lease_avg_percent_change | motivated_avg_percent_change | stubborn_avg_percent_change | neutral_avg_percent_change | desperate_to_lease_avg_num_reductions | motivated_avg_num_reductions | stubborn_avg_num_reductions | neutral_avg_num_reductions | algorithmic_pricing_count | pct_algorithmic_pricing |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2887289.0 | 4.66 | stubborn | 355 | 2958 | 1936 | 2378 | 7627 | 103.0 | 0.43 | -0.0133 | 104.6 | 232.3 | 203.2 | 37.4 | 12.5 | -0.1449 | -0.0155 | -0.0035 | 0.0012 | 4.08 | 0.52 | 0.15 | 0.02 | 218 | 0.0286 |
Ask an AI agent
Once AI Connect is set up, the motivated_renter_index tool is invoked automatically when you ask things like:
“Which markets have the most "desperate to lease" landlords right now?”
“Show the share of algorithmically priced rentals in Atlanta.”
“Rank the top 25 metros by motivated renter index.”
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Motivated Renter Properties
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Download the Parcl Labs Rental Price Index - daily rental price indices tracking residential rental movements at the market level.