US city eviction-filing pressure (weekly)

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Weekly eviction-filing pressure intelligence for 43 US cities/regions from the keyless Princeton Eviction Lab Eviction Tracking System (court filing counts aggregated from census tract / ZIP rows, 2019-12-29 onward). Method: resolve the 43 ETS site labels to city/state/ISO codes via a closed dict (unknown sites fail loudly), sum tract filings to city-weeks, and derive filings vs the publisher's prepandemic baseline average (``filings_vs_baseline``, null where a site has no baseline), a 4-week moving average with 4-week momentum, a documented 0-100 ``eviction_pressure_score`` (100 * clip(ratio,0,2)/2), and fixed-cut pressure tiers (subdued/normal/elevated/severe). Caveats: the most recent ~3 weeks are undercounted from court processing delays (publisher footnote; flagged ``preliminary_flag`` = 1 — filter to 0 for stable signals); the prepandemic-baseline variant is unpublished for 4 sites (Atlanta, Oklahoma City, Other Oregon Counties, Toledo); 'sealed' GEOID rows are real filings with unresolvable tracts, kept in city totals. Units: filing counts per week; ratios unitless; score 0-100. Original aggregation of openly published court-record counts; commercial reuse status unclear — attribution required, see license. Sources: Eviction Lab, Princeton University, Eviction Tracking System v3.0.

Source
Rows: 14,807
Columns: 26
Source cadence: Weekly
Last refreshed: Sep 30, 2026
Theme: housing

Column	Type	Description
site	string	ETS site label as published (e.g. 'Houston, TX').
site_slug	string	URL-safe site slug; part of the primary key with week_date.
city	string	Canonical city/region name.
state_code	string	USPS state code.
state_name	string	Canonical state name.
iso_3166_2	string	ISO 3166-2 subdivision code (US-TX ...); null for the two multi-county Oregon regions. (unit: ISO 3166-2)
country_code	string	ISO alpha-3 country code (USA for every row). (unit: ISO 3166-1 alpha-3)
geography_type	string	Publisher's smallest geography for this site: Census Tract or Zip Code (per the ETS data dictionary).
week_date	string	First day (Sunday) of the observation week; part of the primary key with site_slug. (unit: ISO date)
week_number	integer	Publisher week number: 1 = week of 2019-12-29; verified to align with week_date on every ingest. (unit: week index)
filings	integer	Residential eviction filings that week (sum of tract/ZIP rows, incl. 'sealed' GEOIDs). (unit: filings)
baseline_avg_filings	float	Publisher's baseline: average weekly filings for the same tracts over the site's baseline years. (unit: filings)
baseline_prepandemic_avg_filings	float	Publisher's prepandemic-baseline variant where published; all zero for Atlanta, Oklahoma City, Other Oregon Counties, Toledo (unpublished there — not a true zero). (unit: filings)
n_tracts	integer	Tract/ZIP rows aggregated into this city-week. (unit: count)
filings_vs_baseline	float	filings / baseline_avg_filings; null where no baseline. 1.0 = running at baseline pace. (unit: ratio)
filings_ma4	float	4-week rolling mean of filings (min 1 obs). (unit: filings)
filings_4w_change_pct	float	Percent change of the 4-week moving average vs the prior 4-week window (momentum). (unit: percent)
eviction_pressure_score	float	Documented 0-100 = 100 * clip(filings_vs_baseline, 0, 2) / 2. Null where no baseline. (unit: 0-100 score)
pressure_tier	string	Fixed cuts on filings_vs_baseline: subdued (<0.75), normal (0.75-1.25), elevated (1.25-1.75), severe (>=1.75); insufficient_baseline where null.
preliminary_flag	integer	1 for weeks within 21 days of the file's max week_date: court processing delays undercount these weeks (publisher footnote). Filter to 0 for stable signals. (unit: binary)
site_max_week_date	string	Most recent week_date observed for this site (per-site freshness). (unit: ISO date)
weeks_observed	integer	Weeks observed for this site. (unit: count)
last_updated	string	Publisher's per-row last-update date (max over the city-week). (unit: ISO date)
as_of	string	Ingest date in UTC (snapshot vintage). (unit: ISO date)
source_url	string	ETS aggregate weekly CSV on S3 (provenance). (unit: URL)
row_hash	string	Deterministic 16-hex row hash of site_slug + week_date (idempotency).

First 10 sample rows — a preview, not the complete dataset.

site	site_slug	city	state_code	state_name	iso_3166_2	country_code	geography_type	week_date	week_number	filings	baseline_avg_filings	baseline_prepandemic_avg_filings	n_tracts	filings_vs_baseline	filings_ma4	filings_4w_change_pct	eviction_pressure_score	pressure_tier	site_max_week_date	weeks_observed	last_updated	as_of	source_url	row_hash
Albuquerque, NM	albuquerque-nm	Albuquerque	NM	New Mexico	US-NM	USA	Census Tract	2019-12-29	1	43	33	39.3	177	1.303	43	—	65.1	elevated	2026-09-13	351	2026-09-19	2026-09-30	https://eviction-lab-data-downloads.s3.amazonaws.com/ets/all_sites_weekly_2020_2021.csv	4244b8f7fcb8b0f1
Albuquerque, NM	albuquerque-nm	Albuquerque	NM	New Mexico	US-NM	USA	Census Tract	2020-01-05	2	192	150.5	288	177	1.276	117.5	—	63.8	elevated	2026-09-13	351	2026-09-19	2026-09-30	https://eviction-lab-data-downloads.s3.amazonaws.com/ets/all_sites_weekly_2020_2021.csv	e0bf0e91ee6d1207
Albuquerque, NM	albuquerque-nm	Albuquerque	NM	New Mexico	US-NM	USA	Census Tract	2020-01-12	3	494	238	358.7	177	2.076	243	—	100	severe	2026-09-13	351	2026-09-19	2026-09-30	https://eviction-lab-data-downloads.s3.amazonaws.com/ets/all_sites_weekly_2020_2021.csv	dbd46f98e0c145b3
Albuquerque, NM	albuquerque-nm	Albuquerque	NM	New Mexico	US-NM	USA	Census Tract	2020-01-19	4	182	226.5	220	177	0.804	227.8	—	40.2	normal	2026-09-13	351	2026-09-19	2026-09-30	https://eviction-lab-data-downloads.s3.amazonaws.com/ets/all_sites_weekly_2020_2021.csv	585091914926d80d
Albuquerque, NM	albuquerque-nm	Albuquerque	NM	New Mexico	US-NM	USA	Census Tract	2020-01-26	5	112	127.5	109.3	177	0.878	245	469.8	43.9	normal	2026-09-13	351	2026-09-19	2026-09-30	https://eviction-lab-data-downloads.s3.amazonaws.com/ets/all_sites_weekly_2020_2021.csv	86e90d1d11cb47fb
Albuquerque, NM	albuquerque-nm	Albuquerque	NM	New Mexico	US-NM	USA	Census Tract	2020-02-02	6	96	95	83	177	1.011	221	88.1	50.5	normal	2026-09-13	351	2026-09-19	2026-09-30	https://eviction-lab-data-downloads.s3.amazonaws.com/ets/all_sites_weekly_2020_2021.csv	7b8a8628c7fffe41
Albuquerque, NM	albuquerque-nm	Albuquerque	NM	New Mexico	US-NM	USA	Census Tract	2020-02-09	7	446	302.5	422.7	177	1.474	209	-14	73.7	elevated	2026-09-13	351	2026-09-19	2026-09-30	https://eviction-lab-data-downloads.s3.amazonaws.com/ets/all_sites_weekly_2020_2021.csv	90516491133aa988
Albuquerque, NM	albuquerque-nm	Albuquerque	NM	New Mexico	US-NM	USA	Census Tract	2020-02-16	8	218	203	233	177	1.074	218	-4.3	53.7	normal	2026-09-13	351	2026-09-19	2026-09-30	https://eviction-lab-data-downloads.s3.amazonaws.com/ets/all_sites_weekly_2020_2021.csv	19f5625462f9b4cc
Albuquerque, NM	albuquerque-nm	Albuquerque	NM	New Mexico	US-NM	USA	Census Tract	2020-02-23	9	128	82.5	104.3	177	1.552	222	-9.4	77.6	elevated	2026-09-13	351	2026-09-19	2026-09-30	https://eviction-lab-data-downloads.s3.amazonaws.com/ets/all_sites_weekly_2020_2021.csv	3f9652b5cedbb729
Albuquerque, NM	albuquerque-nm	Albuquerque	NM	New Mexico	US-NM	USA	Census Tract	2020-03-01	10	55	98	76.7	177	0.561	211.8	-4.2	28.1	subdued	2026-09-13	351	2026-09-19	2026-09-30	https://eviction-lab-data-downloads.s3.amazonaws.com/ets/all_sites_weekly_2020_2021.csv	ca473c7b8739b249

Profiled Oct 1, 2026 from snapshot 20260930T152201Z-b001d9aa46e8

Measured

Completeness: 99.8%
Rows: 14,807
Columns: 26
Columns with gaps: 2

Column	Missing	Distinct	Range	Distribution
sitevarchar	0%	46	—	Albuquerque, NM351 Boston, MA351 Bridgeport, CT351
site_slugvarchar	0%	37	—	albuquerque-nm351 boston-ma351 bridgeport-ct351
cityvarchar	0%	45	—	Albuquerque351 Boston351 Bridgeport351
state_codevarchar	0%	25	—	FL1,711 OR1,404 OH1,392
state_namevarchar	0%	28	—	Florida1,711 Oregon1,404 Ohio1,392
iso_3166_2varchar	4.7%	23	—	US-FL1,711 US-OH1,392 US-TX1,388
country_codevarchar	0%	1	—	USA14,807
geography_typevarchar	0%	2	—	Census Tract12,861 Zip Code1,946
week_datevarchar	0%	433	—	2023-01-0143 2023-01-0843 2023-01-1543
week_numberbigint	0%	352	1 → 351median 176	271 outside 1st–99th percentile
filingsbigint	0%	1,880	0 → 7,655median 171	283 outside 1st–99th percentile
baseline_avg_filingsdouble	0%	3,245	15 → 6,136median 225.5	289 outside 1st–99th percentile
baseline_prepandemic_avg_filingsdouble	0%	5,481	0 → 5,914median 159	149 outside 1st–99th percentile
n_tractsbigint	0%	131	40 → 1,219median 220
filings_vs_baselinedouble	0%	1,767	0 → 6.64median 0.897	298 outside 1st–99th percentile
filings_ma4double	0%	4,252	0 → 3,574median 183.5	293 outside 1st–99th percentile
filings_4w_change_pctdouble	1.4%	1,902	-100 → 78,300median 1	292 outside 1st–99th percentile
eviction_pressure_scoredouble	0%	991	0 → 100median 44.9	298 outside 1st–99th percentile
pressure_tiervarchar	0%	4	—	normal8,421 subdued4,996 elevated1,205
preliminary_flagbigint	0%	2	0 → 1median 0
site_max_week_datevarchar	0%	6	—	2026-09-138,424 2026-09-061,943 2026-06-281,700
weeks_observedbigint	0%	7	193 → 351median 351
last_updatedvarchar	0%	7	—	2026-09-198,424 2026-09-121,943 2026-07-041,700
as_ofvarchar	0%	1	—	2026-09-3014,807
source_urlvarchar	0%	1	—	https://eviction-lab-data-downloads.s3.amazonaws.com/ets/all_sites_weekly_2020_2021.csv14,807
row_hashvarchar	0%	14,366	—	0005c9e465319e431 000f89aaf5c63fdc1 0014dc407387cd5f1

Point any LLM at the metadata endpoint — the documentation above is machine-readable too (JSON-LD + Croissant).

cURL

curl "https://datazimuts.com/v1/datasets/eviction_filing_pressure_intel/us_city_eviction_pressure_weekly" | jq '{title, rows, columns_count, license}'

Python

import requests

ds = requests.get("https://datazimuts.com/v1/datasets/eviction_filing_pressure_intel/us_city_eviction_pressure_weekly").json()
print(ds["title"], ds["rows"], "rows")

# Sample rows for an LLM context window
for row in ds.get("sample_rows", [])[:5]:
    print(row)

API endpoint: https://datazimuts.com/v1/datasets/eviction_filing_pressure_intel/us_city_eviction_pressure_weekly

Tip: fetch /llms.txt for the full machine-readable catalog.

Cite this snapshot

Pinned to snapshot 20260930T152201Z-b001d9aa46e8 and its content hash, so readers get exactly the data you used.

APA

. (2026). US city eviction-filing pressure (weekly) [Data set, snapshot 20260930T152201Z-b001d9aa46e8, sha256 b001d9aa46e8]. Datazimuts. Retrieved 2026-10-01, from https://datazimuts.com/en/datasets/eviction_filing_pressure_intel/us_city_eviction_pressure_weekly?snapshot=20260930T152201Z-b001d9aa46e8

BibTeX

@misc{dz_eviction_filing_pressure_intel_us_city_e_b001d9aa,
  title        = {{US city eviction-filing pressure (weekly)}},
  author       = {{}},
  year         = {2026},
  publisher    = {Datazimuts},
  howpublished = {\url{https://datazimuts.com/en/datasets/eviction_filing_pressure_intel/us_city_eviction_pressure_weekly?snapshot=20260930T152201Z-b001d9aa46e8}},
  note         = {Snapshot 20260930T152201Z-b001d9aa46e8, sha256 b001d9aa46e8ff6bb4122beb7d9a6b39315a0fd4d586dbe487f1163c98dd7cad; accessed 2026-10-01}
}

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<iframe src="https://datazimuts.com/embed/chart?dataset=eviction_filing_pressure_intel%2Fus_city_eviction_pressure_weekly&lang=en&theme=auto&snapshot=20260930T152201Z-b001d9aa46e8&x=week_date&y=week_number&agg=avg" title="US city eviction-filing pressure (weekly)" width="100%" height="380" style="border:0" loading="lazy"></iframe>

US city eviction-filing pressure (weekly)

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