Generated evidence · pending editorial review

Belmont Cragin: 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
276
October 2024–September 2026
278
Change in monthly mean
+0.08

The two windows each contain 24 complete covered months. The magnitude of the change is 1.01-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
176
October 2025–September 2026
102
Change in monthly mean
-6.17

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: 4Nov 2016: 4Dec 2016: 8Jan 2017: 78Feb 2017: 6Mar 2017: 11Apr 2017: 3May 2017: 10Jun 2017: 9Jul 2017: 9Aug 2017: 19Sep 2017: 6Oct 2017: 27Nov 2017: 12Dec 2017: 5Jan 2018: 5Feb 2018: 11Mar 2018: 4Apr 2018: 7May 2018: 12Jun 2018: 3Jul 2018: 4Aug 2018: 13Sep 2018: 4Oct 2018: 5Nov 2018: 6Dec 2018: 9Jan 2019: 74Feb 2019: 4Mar 2019: 11Apr 2019: 5May 2019: 13Jun 2019: 8Jul 2019: 10Aug 2019: 16Sep 2019: 8Oct 2019: 21Nov 2019: 10Dec 2019: 6Jan 2020: 8Feb 2020: 10Mar 2020: 4Apr 2020: 5May 2020: 9Jun 2020: 2Jul 2020: 2Aug 2020: 11Sep 2020: 6Oct 2020: 6Nov 2020: 4Dec 2020: 10Jan 2021: 61Feb 2021: 6Mar 2021: 13Apr 2021: 5May 2021: 11Jun 2021: 12Jul 2021: 11Aug 2021: 18Sep 2021: 6Oct 2021: 20Nov 2021: 12Dec 2021: 5Jan 2022: 6Feb 2022: 9Mar 2022: 7Apr 2022: 5May 2022: 13Jun 2022: 2Jul 2022: 2Aug 2022: 9Sep 2022: 6Oct 2022: 7Nov 2022: 5Dec 2022: 13Jan 2023: 62Feb 2023: 7Mar 2023: 12Apr 2023: 7May 2023: 13Jun 2023: 12Jul 2023: 6Aug 2023: 19Sep 2023: 8Oct 2023: 19Nov 2023: 12Dec 2023: 6Jan 2024: 6Feb 2024: 13Mar 2024: 9Apr 2024: 6May 2024: 9Jun 2024: 5Jul 2024: 4Aug 2024: 10Sep 2024: 6Oct 2024: 9Nov 2024: 5Dec 2024: 13Jan 2025: 61Feb 2025: 8Mar 2025: 9Apr 2025: 10May 2025: 12Jun 2025: 14Jul 2025: 6Aug 2025: 20Sep 2025: 9Oct 2025: 18Nov 2025: 11Dec 2025: 3Jan 2026: 7Feb 2026: 12Mar 2026: 8Apr 2026: 8May 2026: 11Jun 2026: 4Jul 2026: 2Aug 2026: 14Sep 2026: 4ZeroUnknownOct 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

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 2026120×10.9805–1.0260-0.002
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 20264complete
August 202614complete
July 20262complete
June 20264complete
May 202611complete
April 20268complete
March 20268complete
February 202612complete
January 20267complete
December 20253complete
November 202511complete
October 202518complete
September 20259complete
August 202520complete
July 20256complete
June 202514complete
May 202512complete
April 202510complete
March 20259complete
February 20258complete
January 202561complete
December 202413complete
November 20245complete
October 20249complete
September 20246complete
August 202410complete
July 20244complete
June 20245complete
May 20249complete
April 20246complete
March 20249complete
February 202413complete
January 20246complete
December 20236complete
November 202312complete
October 202319complete
September 20238complete
August 202319complete
July 20236complete
June 202312complete
May 202313complete
April 20237complete
March 202312complete
February 20237complete
January 202362complete
December 202213complete
November 20225complete
October 20227complete
September 20226complete
August 20229complete
July 20222complete
June 20222complete
May 202213complete
April 20225complete
March 20227complete
February 20229complete
January 20226complete
December 20215complete
November 202112complete
October 202120complete
September 20216complete
August 202118complete
July 202111complete
June 202112complete
May 202111complete
April 20215complete
March 202113complete
February 20216complete
January 202161complete
December 202010complete
November 20204complete
October 20206complete
September 20206complete
August 202011complete
July 20202complete
June 20202complete
May 20209complete
April 20205complete
March 20204complete
February 202010complete
January 20208complete
December 20196complete
November 201910complete
October 201921complete
September 20198complete
August 201916complete
July 201910complete
June 20198complete
May 201913complete
April 20195complete
March 201911complete
February 20194complete
January 201974complete
December 20189complete
November 20186complete
October 20185complete
September 20184complete
August 201813complete
July 20184complete
June 20183complete
May 201812complete
April 20187complete
March 20184complete
February 201811complete
January 20185complete
December 20175complete
November 201712complete
October 201727complete
September 20176complete
August 201719complete
July 20179complete
June 20179complete
May 201710complete
April 20173complete
March 201711complete
February 20176complete
January 201778complete
December 20168complete
November 20164complete
October 20164complete
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-v2:86c17269740937c5cec375a38aaecb61
Discovery method
multi-feed-turn-and-frequency-renewal-v2
Analyze method
exploratory-segmented-log10-ols-zero-as-one-v3
Search plan
a3ffccedeb8d8ce18a30df3636839f775af1e5188e55a1f685695133135c6e35
Evidence run
ae0647a75b8f9a02455d4336a3ba597cec5e19106b33bdfd719eba3f1dc1a96f

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.