Open Data: US Eviction Risk & Landlord-Tenant Law Datasets (CSV)

Dataset 1: State Landlord-Tenant Laws. 51 Jurisdictions

One row for each of the 50 states plus the District of Columbia: what an eviction costs, how long it takes, what notice the law requires, and which tenant protections are on the books, with the primary statute citation for every jurisdiction. 51 rows, about 11 KB.

• Costs: court_filing_fee_low/high, sheriff_lockout_fee_low/high, attorney_fee_low/high
• Timelines: uncontested_days_low/high, contested_days_low/high
• Notice rules: entry_notice_hours, notice_days_nonpayment, notice_days_month_to_month
• Protection flags: source_of_income_protected, just_cause_required, preempts_local_rent_control, rent_cap_formula
• References: statute_cite, rent_cap_statute, preemption_statute, fair_housing_agency

Download state-landlord-tenant-laws-2026.csv (51 rows, ~11 KB)

Story angles waiting in this file: the court fee to file an eviction runs from as little as $15 in the District of Columbia to as much as $460 in Utah, a roughly 30-fold spread for the same legal act. And the preemption map: 33 of 51 jurisdictions bar their own cities from enacting rent control, while only 5 have a statewide rent cap, 16 protect tenants’ source of income, and 10 require just cause to end a tenancy.

Dataset 2: City Eviction Risk Scores. Every US City of 5,000+

One row per city, every US city with 5,000 or more residents that carries a current Eviction Risk Score, drawn from the 31,783-city scoring base behind this site. About 800 KB.

• City and state
• Current Eviction Risk Score (0–10, model NGP-EvictStats-v19.2; higher = stronger tenant protections, slower and costlier evictions)
• Average rent, renter share, and rent burden
• The city’s profile URL on evictionriskmap.com, ready to link from any story

Download city-eviction-risk-scores-2026.csv (~800 KB)

Story angles: rank every city in your metro or state by score, or cross rent against protection, the average rent across all scored cities is $1,543, but state-average scores run from 1.8 in North Dakota to 9.1 in New York, so two cities with identical rents can sit at opposite ends of the legal spectrum. Each row links straight to that city’s profile, where readers get the 50-year score history and local law detail.

Dataset 3: The National Series, 1976–2025

The headline trend in one small file: the national population-weighted average Eviction Risk Score for every year from 1976 through 2025, computed across the same constant panel of 31,783 cities. 50 rows, one per year, about 1 KB. Columns: year, national average score, and city count.

Download national-eviction-risk-by-year-1976-2025.csv (50 rows, ~1 KB)

Story angles: the national average Eviction Risk Score climbed from 2.68 in 1976 to 4.75 in 2025, a 77% rise in tenant protectiveness over five decades. The series peaks at 5.44 in 2021, at the height of pandemic-era tenant protections, and 2025’s 4.75 still sits well above the 4.15 of 2019, the country never fully reverted. For the full narrative, including state shifts like California’s climb from 2.78 to 8.46, see 50 Years of Eviction Risk.

Dataset 4: State Eviction Risk by Year, 1976–2026

Companion report: 50 Years of Eviction Risk by State, the findings and per-state table built from this file.

Annual population-weighted Eviction Risk Scores for every state plus DC, 51 years deep. Each row carries a segment label: observed (2005 forward, incorporates court and survey data) or reconstructed (earlier years, derived from state session laws and statute history). Filter on that column before any analysis that assumes measured filings.

Download state-eviction-risk-by-year-1976-2026.csv (63 KB, 2,601 rows)

Story angles: which states diverged from the pack and when; the spread between the highest- and lowest-risk states has widened decade over decade, and the file shows exactly which legislative eras drove it.

Dataset 5: Eviction Law Milestones, with Statute Citations

490 dated legislative instruments across all 50 states plus DC: every statute change that materially moved a state's eviction process, with the session-law citation, direction (pro-tenant, pro-landlord, or neutral), coverage notes, and a dating-confidence flag. This file is the verifiable backbone of the reconstruction: pull any cited session law and check the claim.

Download eviction-law-milestones-1976-2026.csv (204 KB, 490 rows)

Dataset 6: County Eviction Risk Scores, 2026

Current-year risk scores for 3,139 US counties, with FIPS codes for direct joins to Census, HUD, and Eviction Lab datasets. Population-weighted from the same model that scores states and cities.

Download county-eviction-risk-scores-2026.csv (112 KB, 3,139 rows)

License & Attribution

All datasets are released under Creative Commons Attribution 4.0 (CC BY 4.0). You may copy, redistribute, chart, remix, and build on them, including commercially, provided you credit the source:

Eviction Risk Map (evictionriskmap.com), NextGen Properties, with a link to this page or to the specific profile page you cite.

Permanent snapshots. Every annual release is frozen at /open-data/2026/ and the matching path for each later year. Snapshot files are never deleted or revised, so a citation to a dated snapshot resolves to the exact file you analyzed even after the live datasets move to a newer scoring version.

A sample citation for a dataset: “US State Landlord-Tenant Laws (2026),” Eviction Risk Map, NextGen Properties, https://evictionriskmap.com/open-data/.

Prefer a no-code option? The embed widget drops a live, auto-updating Eviction Risk Score card for any city or state into your article with one snippet, attribution built in.

About the Data

These files are built from roughly 75 public data sources, the Census Bureau and American Community Survey, HUD, the Eviction Lab, court record feeds, BLS, FRED, and dozens more, assembled and maintained by the NextGen Properties research team. The Eviction Risk Score is a 0–10 composite (current model: NGP-EvictStats-v12.2) in which higher values indicate stronger tenant protections and a slower, costlier eviction process for landlords. The datasets are re-issued at the same URLs whenever the model updates, and the full source registry, scoring documentation, and version changelog live on our methodology page. For pre-computed national figures, like the 55–126 day national average range for a contested eviction, or the $135–$230 average court filing fee, start with our eviction statistics reference page.

For Press

Working on a story and need a cut these files don’t cover, scores for one metro area, a regional law comparison, a specific year range from the historical series? Ask. The NextGen Properties research team fields data questions and custom extracts for journalists and researchers; reach us through nextgenproperties.com, or start with the background on our about page.

Two requests when you publish: attribute the data as described above, and consider linking your story to the relevant state or city profile, every row of the city dataset carries its profile URL, so your readers can drill into the score history, local law, and rent data behind your numbers. Useful companions while you write: US Eviction Statistics for citation-ready national figures, and 50 Years of Eviction Risk for the long view.

Frequently Asked Questions

Can I use these datasets commercially?

Yes. All CSV files are published under the Creative Commons Attribution 4.0 (CC BY 4.0) license, which permits copying, redistribution, transformation, and commercial use. The one requirement is attribution: credit "Eviction Risk Map (evictionriskmap.com), NextGen Properties" and link to the page you drew from. That applies equally to a newspaper chart, an academic paper, and a commercial product.

How current is the data?

These are the 2026 releases. The Eviction Risk Scores come from NGP-EvictStats-v12.2, the same current model that powers every city, county, and state profile on this site, and the law file reflects statutes and fee schedules as compiled by our research team for 2026. When the scoring model updates, the files are re-issued at the same URLs, so a bookmark or scheduled fetch keeps working.

Where do the Eviction Risk Scores come from?

Each score is a 0-10 composite built from roughly 75 public data sources, including the Census Bureau, HUD, the Eviction Lab, court records, BLS, and FRED. Higher scores indicate stronger tenant protections and a slower, costlier eviction process for landlords; lower scores indicate the opposite. The full model documentation, data-source registry, and version changelog are at evictionriskmap.com/methodology/.

Cite This Page

Preferred citation:

Eviction Risk Map, NextGen Properties (evictionriskmap.com). “Open Data: US Eviction Risk & Landlord-Tenant Law Datasets.” https://evictionriskmap.com/open-data/. Accessed September 10, 2026.

To cite an individual dataset, use its name and file URL from the cards above.

Informational only, not legal advice. Law-file figures are compiled ranges for 2026; statutes, fees, and timelines change, and courts vary by county, verify against the cited statute and your local court before acting on any figure here.