Generated evidence · pending editorial review

South Lawndale: Retail Food Establishment · 1006 — Business licenses

Retail Food Establishment · 1006 · all other available filters

City source retrieved November 5, 2026 · scan evaluated November 9, 2026 · Review context · not a qualifying candidate

Current dashboard records may have been revised. Analyze is a separate action there. Saved-for-review choices stay in this browser and do not endorse a result.

24-month frequency comparison

Annual-only flag · window-sensitive review context. The two-year comparison does not qualify for the frequency ranking. The annual evidence is retained below, not erased.

October 2022–September 2024
228
October 2024–September 2026
209
Change in monthly mean
-0.79

The two windows each contain 24 complete covered months. The magnitude of the change is 1.09-fold. These are published license records, not a population-adjusted rate. Fixed windows do not establish a breakpoint, remove all seasonal effects or prove a renewal explanation.

12-month comparison · context, not the business ranking

October 2024–September 2025
67
October 2025–September 2026
142
Change in monthly mean
6.25

This annual comparison crosses the original screening gates. Two-year renewal schedules can put a pulse in one annual window and not the other. Opposing directions or threshold sensitivity can have other explanations; an annual-only label is not proof of a renewal cycle.

Saved observations and fitted phases

No clear change in celeration under this rule. This does not mean counts were constant.

Fixed six-log-cycle frame · 120 calendar months · factors per six months. Raw zeros stay zero; confirmed zeros become one only for log-space fitting and diagnostics. Missing coverage remains unavailable.

Monthly business license records on a standard celeration chartCity of Chicago published records. Fixed six-decade count scale, 120 calendar months, celeration per 6 months. Zero markers are unconnected below the plot. Exact counts and coverage are available in the data table. Analyze: suggested. No clear change in celeration under this rule. This does not mean counts were constant. See the phase results table for dates, factors and uncertainty.1510501005001,0005,00010,00050,000100,000500,0001,000,000License records per monthsuggested phase 1: 2016-10–2026-09Oct 2016: 7Nov 2016: 3Dec 2016: 5Jan 2017: 3Feb 2017: 6Mar 2017: 16Apr 2017: 6May 2017: 10Jun 2017: 9Jul 2017: 4Aug 2017: 7Sep 2017: 3Oct 2017: 4Nov 2017: 11Dec 2017: 13Jan 2018: 12Feb 2018: 8Mar 2018: 5Apr 2018: 2May 2018: 10Jun 2018: 7Jul 2018: 5Aug 2018: 99Sep 2018: 11Oct 2018: 6Nov 2018: 3Dec 2018: 6Jan 2019: 4Feb 2019: 8Mar 2019: 13Apr 2019: 5May 2019: 10Jun 2019: 13Jul 2019: 3Aug 2019: 3Sep 2019: 4Oct 2019: 3Nov 2019: 11Dec 2019: 10Jan 2020: 7Feb 2020: 7Mar 2020: 4Apr 2020: 1May 2020: 7Jun 2020: 5Jul 2020: 4Aug 2020: 93Sep 2020: 9Oct 2020: 4Nov 2020: 3Dec 2020: 8Jan 2021: 4Feb 2021: 7Mar 2021: 12Apr 2021: 6May 2021: 9Jun 2021: 11Jul 2021: 4Aug 2021: 1Sep 2021: 2Oct 2021: 5Nov 2021: 9Dec 2021: 12Jan 2022: 5Feb 2022: 7Mar 2022: 7Apr 2022: 3May 2022: 9Jun 2022: 5Jul 2022: 3Aug 2022: 91Sep 2022: 11Oct 2022: 4Nov 2022: 2Dec 2022: 7Jan 2023: 6Feb 2023: 6Mar 2023: 14Apr 2023: 7May 2023: 6Jun 2023: 10Jul 2023: 5Sep 2023: 2Oct 2023: 8Nov 2023: 9Dec 2023: 15Jan 2024: 7Feb 2024: 6Mar 2024: 6Apr 2024: 4May 2024: 6Jun 2024: 3Jul 2024: 6Aug 2024: 82Sep 2024: 7Oct 2024: 3Nov 2024: 4Dec 2024: 9Jan 2025: 3Feb 2025: 8Mar 2025: 9Apr 2025: 10May 2025: 5Jun 2025: 9Jul 2025: 3Sep 2025: 4Oct 2025: 4Nov 2025: 11Dec 2025: 15Jan 2026: 8Feb 2026: 5Mar 2026: 6Apr 2026: 2May 2026: 7Jun 2026: 3Jul 2026: 10Aug 2026: 65Sep 2026: 6ZeroUnknownAug 2023: zero license records; not connectedAug 2025: zero license records; not connectedOct 2016Oct 2017Oct 2018Oct 2019Oct 2020Oct 2021Oct 2022Oct 2023Oct 2024Oct 2025Oct 2026Calendar months

Suggested trend · exploratory · per six months

  1. 1 · Oct 2016–Sep 2026÷1.00Direction uncertain · 2 zeros fitted as 1

Check the evidence

Interpretation and limitations (13)
  • Exploratory description, not a forecast, causal explanation or proof of a change.
  • Approximate 95% factor intervals assume independent, constant-variance log residuals and fixed boundaries. They do not account for boundary search, serial dependence or source revisions.
  • Confirmed zeros are treated as 1 only for fitting and its diagnostics. Raw counts stay zero; low-count results depend on this convention.
  • Independent phase lines may jump at boundaries. Every observation belongs to exactly one phase.
  • Reporting, classifications and seasonality can change. Counts are not population-adjusted; a level shift without a slope change is not the target of this search.
  • Uses dated last-good cached data, not newly verified source counts.
  • 2 confirmed zeros fitted as 1; raw counts remain zero. Low-count trends are sensitive to this adjustment.
  • At least one factor interval includes 1; its direction is uncertain under this approximation.
  • License records include renewals and use license-term dates. Category/ward changes and administrative practice can affect counts; these are not business openings, closures or employment.
  • Business frequency screening compares adjacent 24-month windows, requiring 48 complete months. The 12-month comparison is context only. Fixed two-year windows reduce renewal-calendar mismatch; they are not seasonal adjustment, proof of a renewal mechanism, or a test of stability.
  • Window assessment: annual-only. Annual-only flags do not enter the frequency ranking. Opposite directions and short history must not be described as persistent changes.
  • Many dependent filter conditions were searched. No multiple-testing-adjusted significance or causal attribution is claimed.
  • Frequency compares fixed equal-length windows of raw counts, not population risk or a celeration-factor ratio. Reporting, classifications and exposure may have changed.
Phase diagnostics

Intervals assume fixed boundaries and independent log residuals. They are not adjusted for the phase or filter search. Near-optimal boundary ranges are not confidence intervals.

Saved phase results
PhaseStart–endMonthsFactor / six monthsConditional 95% intervalZeros fitted as 1Lag-one residual
1October 2016–September 2026120÷10.9723–1.02420.143
Exact monthly observations (120 slots)

Newest first. Unknown coverage is not a zero. These are the original saved observations, not fitted or rounded predictions.

Raw monthly license records
MonthRaw countCoverage
September 20266complete
August 202665complete
July 202610complete
June 20263complete
May 20267complete
April 20262complete
March 20266complete
February 20265complete
January 20268complete
December 202515complete
November 202511complete
October 20254complete
September 20254complete
August 20250complete
July 20253complete
June 20259complete
May 20255complete
April 202510complete
March 20259complete
February 20258complete
January 20253complete
December 20249complete
November 20244complete
October 20243complete
September 20247complete
August 202482complete
July 20246complete
June 20243complete
May 20246complete
April 20244complete
March 20246complete
February 20246complete
January 20247complete
December 202315complete
November 20239complete
October 20238complete
September 20232complete
August 20230complete
July 20235complete
June 202310complete
May 20236complete
April 20237complete
March 202314complete
February 20236complete
January 20236complete
December 20227complete
November 20222complete
October 20224complete
September 202211complete
August 202291complete
July 20223complete
June 20225complete
May 20229complete
April 20223complete
March 20227complete
February 20227complete
January 20225complete
December 202112complete
November 20219complete
October 20215complete
September 20212complete
August 20211complete
July 20214complete
June 202111complete
May 20219complete
April 20216complete
March 202112complete
February 20217complete
January 20214complete
December 20208complete
November 20203complete
October 20204complete
September 20209complete
August 202093complete
July 20204complete
June 20205complete
May 20207complete
April 20201complete
March 20204complete
February 20207complete
January 20207complete
December 201910complete
November 201911complete
October 20193complete
September 20194complete
August 20193complete
July 20193complete
June 201913complete
May 201910complete
April 20195complete
March 201913complete
February 20198complete
January 20194complete
December 20186complete
November 20183complete
October 20186complete
September 201811complete
August 201899complete
July 20185complete
June 20187complete
May 201810complete
April 20182complete
March 20185complete
February 20188complete
January 201812complete
December 201713complete
November 201711complete
October 20174complete
September 20173complete
August 20177complete
July 20174complete
June 20179complete
May 201710complete
April 20176complete
March 201716complete
February 20176complete
January 20173complete
December 20165complete
November 20163complete
October 20167complete
Source and reproducibility
Publisher dataset
Business Licenses · City of Chicago
Source retrieved
2026-11-05T21:09:58.696Z
Publisher update
2026-11-05T11:01:01.000Z
Covered months
October 2016–September 2026
Source note
Source xqx5-8hwx. Joint day/category/hour/applicable-flag/ward/status counts; no addresses, coordinates or incident identifiers. Each year's cells reconcile with an independent source total. Reads are not an atomic publisher snapshot. License records by term start, including renewals; not new businesses. Ward is as published, not reconstructed historical boundaries. Prepared daily community-area snapshot; scheduled rebuild at 06:00 America/Chicago. Full supported history is rechecked for corrections. Retrieval timestamps are preserved; this is not a real-time feed. Local indexed neighborhood snapshot. Totals are for the loaded area before other filters, not citywide totals. Citywide and unassigned-area views use a separate network-backed scope.
Snapshot
daily-v1:8a9771a7-dde2-4246-9cf6-d11519e895d6:neighborhood-v2:1df38efd540ce5e0b9ffa0bd6a89f07c
Discovery method
multi-feed-turn-and-frequency-renewal-v2
Analyze method
exploratory-segmented-log10-ols-zero-as-one-v3
Search plan
a3ffccedeb8d8ce18a30df3636839f775af1e5188e55a1f685695133135c6e35
Evidence run
8d30249cdfbb6c995f8774c0491d80ffbb0f7e74b31e5f1b3ffa0756497d6228

Challenge the pattern

Check unfiltered totals, comparable communities, source revisions and administrative definitions before treating this candidate as evidence of a real-world explanation. Only explicitly documented follow-ups above have been performed; no others are implied by the ranking. Browse the other business licenses candidates or review the complete screening method.