Generated evidence · pending editorial review

Lincoln Park: 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
432
October 2024–September 2026
446
Change in monthly mean
+0.58

The two windows each contain 24 complete covered months. The magnitude of the change is 1.03-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
277
October 2025–September 2026
169
Change in monthly mean
-9

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: 9Nov 2016: 11Dec 2016: 10Jan 2017: 10Feb 2017: 20Mar 2017: 14Apr 2017: 207May 2017: 18Jun 2017: 10Jul 2017: 8Aug 2017: 6Sep 2017: 9Oct 2017: 13Nov 2017: 10Dec 2017: 11Jan 2018: 9Feb 2018: 21Mar 2018: 7Apr 2018: 12May 2018: 8Jun 2018: 9Jul 2018: 7Aug 2018: 4Sep 2018: 13Oct 2018: 9Nov 2018: 11Dec 2018: 8Jan 2019: 11Feb 2019: 15Mar 2019: 16Apr 2019: 177May 2019: 19Jun 2019: 10Jul 2019: 8Aug 2019: 8Sep 2019: 9Oct 2019: 13Nov 2019: 10Dec 2019: 13Jan 2020: 7Feb 2020: 17Mar 2020: 7Apr 2020: 10May 2020: 14Jun 2020: 7Jul 2020: 6Aug 2020: 10Sep 2020: 12Oct 2020: 16Nov 2020: 12Dec 2020: 12Jan 2021: 12Feb 2021: 11Mar 2021: 16Apr 2021: 152May 2021: 15Jun 2021: 13Jul 2021: 13Aug 2021: 8Sep 2021: 15Oct 2021: 12Nov 2021: 18Dec 2021: 14Jan 2022: 10Feb 2022: 20Mar 2022: 7Apr 2022: 13May 2022: 11Jun 2022: 13Jul 2022: 9Aug 2022: 7Sep 2022: 11Oct 2022: 14Nov 2022: 15Dec 2022: 8Jan 2023: 13Feb 2023: 10Mar 2023: 13Apr 2023: 136May 2023: 15Jun 2023: 13Jul 2023: 15Aug 2023: 8Sep 2023: 12Oct 2023: 15Nov 2023: 15Dec 2023: 16Jan 2024: 10Feb 2024: 23Mar 2024: 7Apr 2024: 20May 2024: 12Jun 2024: 11Jul 2024: 13Aug 2024: 7Sep 2024: 11Oct 2024: 12Nov 2024: 14Dec 2024: 10Jan 2025: 14Feb 2025: 10Mar 2025: 19Apr 2025: 131May 2025: 21Jun 2025: 9Jul 2025: 12Aug 2025: 14Sep 2025: 11Oct 2025: 20Nov 2025: 16Dec 2025: 12Jan 2026: 8Feb 2026: 28Mar 2026: 11Apr 2026: 14May 2026: 16Jun 2026: 11Jul 2026: 10Aug 2026: 12Sep 2026: 11ZeroUnknownOct 2016Oct 2017Oct 2018Oct 2019Oct 2020Oct 2021Oct 2022Oct 2023Oct 2024Oct 2025Oct 2026Calendar months

Suggested trend · exploratory · per six months

  1. 1 · Oct 2016–Sep 2026×1.01Direction uncertain

Check the evidence

Interpretation and limitations (12)
  • 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.
  • 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 2026120×1.010.9897–1.03000.146
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 202611complete
August 202612complete
July 202610complete
June 202611complete
May 202616complete
April 202614complete
March 202611complete
February 202628complete
January 20268complete
December 202512complete
November 202516complete
October 202520complete
September 202511complete
August 202514complete
July 202512complete
June 20259complete
May 202521complete
April 2025131complete
March 202519complete
February 202510complete
January 202514complete
December 202410complete
November 202414complete
October 202412complete
September 202411complete
August 20247complete
July 202413complete
June 202411complete
May 202412complete
April 202420complete
March 20247complete
February 202423complete
January 202410complete
December 202316complete
November 202315complete
October 202315complete
September 202312complete
August 20238complete
July 202315complete
June 202313complete
May 202315complete
April 2023136complete
March 202313complete
February 202310complete
January 202313complete
December 20228complete
November 202215complete
October 202214complete
September 202211complete
August 20227complete
July 20229complete
June 202213complete
May 202211complete
April 202213complete
March 20227complete
February 202220complete
January 202210complete
December 202114complete
November 202118complete
October 202112complete
September 202115complete
August 20218complete
July 202113complete
June 202113complete
May 202115complete
April 2021152complete
March 202116complete
February 202111complete
January 202112complete
December 202012complete
November 202012complete
October 202016complete
September 202012complete
August 202010complete
July 20206complete
June 20207complete
May 202014complete
April 202010complete
March 20207complete
February 202017complete
January 20207complete
December 201913complete
November 201910complete
October 201913complete
September 20199complete
August 20198complete
July 20198complete
June 201910complete
May 201919complete
April 2019177complete
March 201916complete
February 201915complete
January 201911complete
December 20188complete
November 201811complete
October 20189complete
September 201813complete
August 20184complete
July 20187complete
June 20189complete
May 20188complete
April 201812complete
March 20187complete
February 201821complete
January 20189complete
December 201711complete
November 201710complete
October 201713complete
September 20179complete
August 20176complete
July 20178complete
June 201710complete
May 201718complete
April 2017207complete
March 201714complete
February 201720complete
January 201710complete
December 201610complete
November 201611complete
October 20169complete
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-v2:40e47ea1f9803403f67875142733f739
Discovery method
multi-feed-turn-and-frequency-renewal-v2
Analyze method
exploratory-segmented-log10-ols-zero-as-one-v3
Search plan
a3ffccedeb8d8ce18a30df3636839f775af1e5188e55a1f685695133135c6e35
Evidence run
05a5313673b2bfd720deb0efc0e95d3aaf06d8708cd9656c7c9b719f6e8e413d

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.