Generated evidence · pending editorial review

Irving Park: All categories · Ward: 30 — Business licenses

All categories · Ward: 30

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
233
October 2024–September 2026
230
Change in monthly mean
-0.13

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
153
October 2025–September 2026
77
Change in monthly mean
-6.33

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: 5Nov 2016: 8Dec 2016: 14Jan 2017: 10Feb 2017: 4Mar 2017: 7Apr 2017: 11May 2017: 3Jun 2017: 3Jul 2017: 4Aug 2017: 126Sep 2017: 4Oct 2017: 9Nov 2017: 9Dec 2017: 3Jan 2018: 1Feb 2018: 6Mar 2018: 4Apr 2018: 2May 2018: 4Jun 2018: 3Jul 2018: 9Aug 2018: 4Sep 2018: 9Oct 2018: 6Nov 2018: 8Dec 2018: 13Jan 2019: 10Feb 2019: 4Mar 2019: 4Apr 2019: 5May 2019: 5Jun 2019: 7Jul 2019: 4Aug 2019: 89Sep 2019: 6Oct 2019: 6Nov 2019: 11Dec 2019: 4Jan 2020: 3Feb 2020: 7Mar 2020: 3Apr 2020: 2May 2020: 4Jun 2020: 1Jul 2020: 8Aug 2020: 5Sep 2020: 7Oct 2020: 6Nov 2020: 9Dec 2020: 11Jan 2021: 10Feb 2021: 5Mar 2021: 7Apr 2021: 7May 2021: 5Jun 2021: 7Jul 2021: 3Aug 2021: 82Sep 2021: 6Oct 2021: 10Nov 2021: 9Dec 2021: 6Jan 2022: 5Feb 2022: 4Mar 2022: 11Apr 2022: 3May 2022: 5Jun 2022: 1Jul 2022: 9Aug 2022: 6Sep 2022: 7Oct 2022: 5Nov 2022: 6Dec 2022: 14Jan 2023: 10Feb 2023: 3Mar 2023: 5Apr 2023: 5May 2023: 6Jun 2023: 6Jul 2023: 7Aug 2023: 76Sep 2023: 7Oct 2023: 10Nov 2023: 10Dec 2023: 5Jan 2024: 9Feb 2024: 2Mar 2024: 7Apr 2024: 3May 2024: 7Jun 2024: 2Jul 2024: 11Aug 2024: 8Sep 2024: 9Oct 2024: 5Nov 2024: 10Dec 2024: 10Jan 2025: 9Feb 2025: 3Mar 2025: 9Apr 2025: 6May 2025: 7Jun 2025: 7Jul 2025: 8Aug 2025: 71Sep 2025: 8Oct 2025: 6Nov 2025: 12Dec 2025: 9Jan 2026: 6Feb 2026: 10Mar 2026: 2Apr 2026: 1May 2026: 5Jun 2026: 2Jul 2026: 8Aug 2026: 9Sep 2026: 7ZeroUnknownOct 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 2026120×1.010.9806–1.03200.014
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 20267complete
August 20269complete
July 20268complete
June 20262complete
May 20265complete
April 20261complete
March 20262complete
February 202610complete
January 20266complete
December 20259complete
November 202512complete
October 20256complete
September 20258complete
August 202571complete
July 20258complete
June 20257complete
May 20257complete
April 20256complete
March 20259complete
February 20253complete
January 20259complete
December 202410complete
November 202410complete
October 20245complete
September 20249complete
August 20248complete
July 202411complete
June 20242complete
May 20247complete
April 20243complete
March 20247complete
February 20242complete
January 20249complete
December 20235complete
November 202310complete
October 202310complete
September 20237complete
August 202376complete
July 20237complete
June 20236complete
May 20236complete
April 20235complete
March 20235complete
February 20233complete
January 202310complete
December 202214complete
November 20226complete
October 20225complete
September 20227complete
August 20226complete
July 20229complete
June 20221complete
May 20225complete
April 20223complete
March 202211complete
February 20224complete
January 20225complete
December 20216complete
November 20219complete
October 202110complete
September 20216complete
August 202182complete
July 20213complete
June 20217complete
May 20215complete
April 20217complete
March 20217complete
February 20215complete
January 202110complete
December 202011complete
November 20209complete
October 20206complete
September 20207complete
August 20205complete
July 20208complete
June 20201complete
May 20204complete
April 20202complete
March 20203complete
February 20207complete
January 20203complete
December 20194complete
November 201911complete
October 20196complete
September 20196complete
August 201989complete
July 20194complete
June 20197complete
May 20195complete
April 20195complete
March 20194complete
February 20194complete
January 201910complete
December 201813complete
November 20188complete
October 20186complete
September 20189complete
August 20184complete
July 20189complete
June 20183complete
May 20184complete
April 20182complete
March 20184complete
February 20186complete
January 20181complete
December 20173complete
November 20179complete
October 20179complete
September 20174complete
August 2017126complete
July 20174complete
June 20173complete
May 20173complete
April 201711complete
March 20177complete
February 20174complete
January 201710complete
December 201614complete
November 20168complete
October 20165complete
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-v2:78d28669a6281fbcb274d9d86b92271f
Discovery method
multi-feed-turn-and-frequency-renewal-v2
Analyze method
exploratory-segmented-log10-ols-zero-as-one-v3
Search plan
a3ffccedeb8d8ce18a30df3636839f775af1e5188e55a1f685695133135c6e35
Evidence run
d6edf1dd0c0e5e884fd51cefc452961059fad4d11ebd7da7f286cfd27a54ac52

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.