Best of Single family residential reits
The 10 Best Single-Family Residential REITs Datasets in 2026
10 Single family residential reits picks, ranked on what's inside: field richness, coverage depth, fit for the job. FHFA House Price Index Datasets leads — Monthly for U.
- 10ranked picks
- 1documented fields on stage
- 1/8with mapped coverage
API, files, or your warehouse. Daily, weekly, or hourly.
Every dataset here carries a 0–10 score built on documented fields, and the ranking follows those scores. When records tie, coverage breaks it: more geography, deeper history, finer granularity. Cadence isn't a scoring axis — it's a delivery setting. Delivered daily, weekly, or hourly, your call.
- 1 Census Housing Vacancies and Homeownership
- 2 10/10Single family residential reits
FHFA House Price Index Datasets
Monthly for U. and census divisions.
- 3 9/10Commercial residential mortgage finance
American Housing Survey National Microdata
- 4 9/10Diversified real estate activities
US Census CPS/HVS Historical Tables
Why it ranks fourth: it is rank 1 stretched across seven decades without a schema change - the difference between a current-quarter readout and a backtestable panel.
- 5 7/10Single family residential reits string
Data.gov Federal Housing Datasets Catalog
Why it ranks fifth: it is reach, not depth - the curated route past default relevance ordering to the state and municipal housing files the federal series never touch.
- 6 7/10Single family residential reits
Nareit REIT Directory
Family-rental peers are public, where they headquarter, and how their yields and trailing returns read against the wider REIT field.
- 7 Nareit Data Research Hub - REIT Market Data Portal
- 8 8/10Multi family residential reits
Nareit Residential REIT Sector Page
It ranks eighth because its roster mixes the apartment cohort with student housing and manufactured homes - which is exactly why it stays: single-family names like INVH read correctly only against that wider residential frame.
- 9 9/10Mortgage reits
Nareit REIT Indexes and Market Performance Landing
It ranks ninth because rank 7 already delivers the same index family - but the constituent files answer a question the workbook cannot: who was actually in the index each year, which is how survivorship stops flattering a backtest.
- 10 5/10
It closes the ranking as the citable layer: lowest documentation score on the list, yet the fastest way to put a seventy-year vacancy trend in front of someone who does not read CSVs.
Frequently asked questions
What is the single best single-family residential REITs dataset?
Census Housing Vacancies and Homeownership (CPS/HVS), on our scoring. Quality 10/10: quarterly rental and homeowner vacancy rates, homeownership rates and housing inventory for the nation, four regions, all 50 states and the 75 largest MSAs, with 11 detail tables per release and vacancy history to 1956. It measures the demand variable single-family rental revenue hangs on.
How far back do US rental vacancy statistics go?
To 1956. The CPS/HVS historical vacancy tables run quarterly from that year, detailed inventory tables start in 1965, homeownership rates in 1964 and median asking rent in 1988 - about thirty workbooks in the historical-tables record alone. In 1956 Q1, 6.2 percent of the national rental stock sat vacant against 7.3 percent in Q2 2026.
Which dataset has household-level detail rather than aggregates?
The American Housing Survey National Microdata. The 2023 national file carries 55,669 household records plus a 16,834-record mortgage table with interest rate, payment amount, loan type and HELOC balance fields - biennial survey microdata sponsored by HUD. It is the only record here that lets you model renters household by household instead of through regional averages.
How is single-family residential REITs data delivered?
Daily, weekly, or hourly - your call. Typed rows for the Census and FHFA tables, structured records for directory and catalog entries, spreadsheets for the index histories. Tell Datadory which geographies, series and cadence you need and a scoped sample arrives first, so the fields and coverage prove themselves before anything is committed.