Overview & Creators

This page governs the datasets, dashboards, and research notes published by Local Home Buyers USA (“LHBUSA”). We operate in all 50 states, and we report only aggregated, non-identifying metrics. Each dataset below includes creators, methodology, license, and an integrity hash for the downloadable sample.

Creators (Page)

  • Justin Erickson — Founder & Research Lead (creator)
  • LHBUSA Analytics & Editorial — Data engineering, QA, editing (creator)
  • Local Home Buyers USA — Publisher

Contact: sales@localhomebuyersusa.com • 1-800-858-0588

What’s inside

LicenseMethodology ProvenanceVersioning Downloadable samplesIntegrity hashes (SHA-256)

Can I Use This Data?

Quick checker based on our non-commercial license. This doesn’t replace the legal text; see License below.

Intended purpose
What do you want to publish?
We’ll summarise what’s allowed under our non-commercial terms.

Attribution (copy & paste)

Required for any permitted use. Customize publication/date as needed.

“[Title of your piece].” Using sample/derived data from Local Home Buyers USA (LHBUSA),
non-commercial with attribution. Source page: https://localhomebuyersusa.com/research/data-license/
Creators: Justin Erickson; LHBUSA Analytics & Editorial. Accessed: YYYY-MM-DD.

Data Freshness

Upgrade complete: All datasets refreshed in v2025.11.28. Next expected refresh windows are shown below.

Dataset A — State Complaint Intensity

Cadence: Weekly

— — —

Dataset B — Mortgage Delinquency Index

Cadence: Monthly

— — —

Dataset C — Foreclosure Pipeline

Cadence: Quarterly

— — —

Dataset D — DOM Median by CBSA

Cadence: Monthly

— — —

Dataset E — Active Listings YoY

Cadence: Monthly

— — —

Downloadable Sample Datasets (with creators & hashes)

These are sample excerpts matching our schema. Full series are available for non-commercial use with attribution (see License). Downloads include an on-page SHA-256 hash computed in your browser for verification.

Dataset A — State Complaint Intensity (per 100,000 households)

Creators: Justin Erickson; LHBUSA Analytics & Editorial.  |  Measurement: complaints_per_100k = complaints / ACS_households × 100,000.  |  License: LHBUSA Non-Commercial with Attribution.

StatePeriodComplaints / 100k HH
⬇️ Download CSV hash: … v2025.11.28 • rows: 10

Dataset B — Mortgage Delinquency Index (2019 = 100)

Creators: Justin Erickson; LHBUSA Analytics & Editorial.  |  Variables: index_30dpd, index_60dpd, index_90dpd.  |  License: LHBUSA Non-Commercial with Attribution.

Period30+ DPD60+ DPD90+ DPD
⬇️ Download CSV hash: … v2025.11.28 • rows: 6

Dataset C — Foreclosure Pipeline per 10,000 Housing Units (CBSA)

Creators: Justin Erickson; LHBUSA Analytics & Editorial.  |  Variables: nod, auction_sched, reo, total_per_10k.  |  License: LHBUSA Non-Commercial with Attribution.

CBSA Quarter NoD Auction REO Total / 10k
⬇️ Download CSV hash: … v2025.11.28 • rows: 8

Dataset D — Days-on-Market (DOM) Median by CBSA — Sample

Creators: Justin Erickson; LHBUSA Analytics & Editorial.  |  Variable: dom_median (days).  |  License: LHBUSA Non-Commercial with Attribution.

CBSA Period Median DOM (days)
⬇️ Download CSV hash: … v2025.11.28 • rows: 8

Dataset E — Active Listings YoY by State — Sample

Creators: Justin Erickson; LHBUSA Analytics & Editorial.  |  Variables: active_yoy_pct.  |  License: LHBUSA Non-Commercial with Attribution.

StatePeriodActive Listings YoY (%)
⬇️ Download CSV hash: … v2025.11.28 • rows: 10

Versioning & Change Log

  • v2025.11.28 — “Bloomberg grade” visual & UX upgrade: dark gradient frame, macro ticker, refreshed freshness engine with a single release date, stronger contrast for license / legal copy, tuned wide scrollers, and Elementor-safe JS/CSS.
  • v2025.11.08 — Upgrade release: Refreshed all sample datasets; upgraded freshness cards to show upgrade status and next refresh windows; updated dataset version tags; minor accessibility & table sort improvements.
  • v2025.10.25 — Added “Can I Use This Data?” checker; Data Freshness cards; JSON downloads; TOC; light theme forced; Dataset C & D scrollers (no fades).
  • v2025.10.20 — Introduced five sample datasets, creators, integrity hashes, and DataCatalog metadata.

We version datasets with YYYY.MM.DD. Revisions appear here and within dataset metadata.

License

Plain-English Summary

  • Use the data non-commercially with attribution to Local Home Buyers USA.
  • Don’t redistribute raw files or sell our data without permission.
  • Derived charts/tables are fine—credit LHBUSA and link back to this page.

Formal Grant

LHBUSA grants you a worldwide, royalty-free, revocable, non-exclusive license to use, reproduce, and create derivative works from LHBUSA research content for non-commercial purposes, provided that: (a) you include clear attribution to “Local Home Buyers USA” with a link to https://localhomebuyersusa.com/research/; (b) you do not remove or obfuscate notices; and (c) you do not redistribute raw datasets except as permitted herein.

Restrictions

  • No resale, sublicensing, or redistribution of raw datasets without written permission.
  • No re-identification attempts or use that could harm individuals.
  • Commercial use requires a separate license—contact sales@localhomebuyersusa.com.

Warranty & Liability

Content is provided “as is” without warranties. To the maximum extent permitted by law, LHBUSA disclaims all liability for damages arising from use of the datasets.

Governing Law & Venue

This License is governed by the laws of the State of Minnesota, exclusive of conflict-of-law rules. Venue lies in state and federal courts located in Ramsey County, Minnesota.

FAQs

How exactly should I attribute LHBUSA?

Include “Local Home Buyers USA” and a link to this page. The “Attribution” block above has a one-click copy button.

Can I share the raw CSV files publicly?

No. Redistribution of raw datasets isn’t allowed under the non-commercial license. Publish derived charts/tables with attribution instead.

What if my use is commercial?

Reach out for a commercial license: sales@localhomebuyersusa.com.

What are the SHA-256 hashes for?

They verify integrity of the downloadable samples you generate in-browser on this page.

How do you normalize and suppress small cells?

We normalize using ACS denominators and suppress small cells to avoid re-identification. See the Methodology section above.

Accessibility

We follow semantic HTML, keyboard focus states, sufficient contrast, and ARIA labeling for tables and regions. CSV/JSON downloads include clear header names and units. If you need alternative formats, email sales@localhomebuyersusa.com.

Contact

Press & licensing: sales@localhomebuyersusa.com • 1-800-858-0588

Mailing address: Local Home Buyers USA, 2136 Ford Parkway #9337, Saint Paul, MN 55116

Request Data / Licensing

© 2025 Local Home Buyers USA • All 50 states • Non-commercial use with attribution