Generated evidence · pending editorial review

McKinley Park: All categories — Business licenses

All categories · 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
305
October 2024–September 2026
308
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
106
October 2025–September 2026
202
Change in monthly mean
8

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: 6Nov 2016: 6Dec 2016: 2Jan 2017: 7Feb 2017: 5Mar 2017: 14Apr 2017: 13May 2017: 12Jun 2017: 8Jul 2017: 7Aug 2017: 6Sep 2017: 9Oct 2017: 2Nov 2017: 6Dec 2017: 61Jan 2018: 69Feb 2018: 18Mar 2018: 13Apr 2018: 5May 2018: 15Jun 2018: 6Jul 2018: 11Aug 2018: 5Sep 2018: 9Oct 2018: 6Nov 2018: 5Dec 2018: 3Jan 2019: 8Feb 2019: 4Mar 2019: 12Apr 2019: 9May 2019: 12Jun 2019: 10Jul 2019: 12Aug 2019: 6Sep 2019: 12Oct 2019: 3Nov 2019: 7Dec 2019: 51Jan 2020: 59Feb 2020: 16Mar 2020: 13Apr 2020: 3May 2020: 13Jun 2020: 7Jul 2020: 11Aug 2020: 3Sep 2020: 8Oct 2020: 8Nov 2020: 7Dec 2020: 6Jan 2021: 11Feb 2021: 7Mar 2021: 12Apr 2021: 10May 2021: 13Jun 2021: 13Jul 2021: 5Aug 2021: 8Sep 2021: 9Oct 2021: 6Nov 2021: 14Dec 2021: 43Jan 2022: 56Feb 2022: 19Mar 2022: 15Apr 2022: 2May 2022: 19Jun 2022: 7Jul 2022: 11Aug 2022: 8Sep 2022: 8Oct 2022: 7Nov 2022: 7Dec 2022: 9Jan 2023: 10Feb 2023: 8Mar 2023: 10Apr 2023: 10May 2023: 17Jun 2023: 9Jul 2023: 5Aug 2023: 6Sep 2023: 9Oct 2023: 5Nov 2023: 7Dec 2023: 36Jan 2024: 50Feb 2024: 17Mar 2024: 16Apr 2024: 5May 2024: 22Jun 2024: 7Jul 2024: 13Aug 2024: 5Sep 2024: 15Oct 2024: 8Nov 2024: 7Dec 2024: 8Jan 2025: 6Feb 2025: 13Mar 2025: 9Apr 2025: 10May 2025: 19Jun 2025: 8Jul 2025: 4Aug 2025: 5Sep 2025: 9Oct 2025: 5Nov 2025: 15Dec 2025: 36Jan 2026: 44Feb 2026: 16Mar 2026: 14Apr 2026: 8May 2026: 21Jun 2026: 13Jul 2026: 10Aug 2026: 7Sep 2026: 13ZeroUnknownOct 2016Oct 2017Oct 2018Oct 2019Oct 2020Oct 2021Oct 2022Oct 2023Oct 2024Oct 2025Oct 2026Calendar months

Suggested trend · exploratory · per six months

  1. 1 · Oct 2016–Sep 2026×1.02Direction uncertain (serial pattern)

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.
  • Serial pattern in residuals: independence is doubtful; the reported intervals may be too narrow. Seasonality is not modeled.
  • 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 2026120×1.020.9962–1.04200.308
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 202613complete
August 20267complete
July 202610complete
June 202613complete
May 202621complete
April 20268complete
March 202614complete
February 202616complete
January 202644complete
December 202536complete
November 202515complete
October 20255complete
September 20259complete
August 20255complete
July 20254complete
June 20258complete
May 202519complete
April 202510complete
March 20259complete
February 202513complete
January 20256complete
December 20248complete
November 20247complete
October 20248complete
September 202415complete
August 20245complete
July 202413complete
June 20247complete
May 202422complete
April 20245complete
March 202416complete
February 202417complete
January 202450complete
December 202336complete
November 20237complete
October 20235complete
September 20239complete
August 20236complete
July 20235complete
June 20239complete
May 202317complete
April 202310complete
March 202310complete
February 20238complete
January 202310complete
December 20229complete
November 20227complete
October 20227complete
September 20228complete
August 20228complete
July 202211complete
June 20227complete
May 202219complete
April 20222complete
March 202215complete
February 202219complete
January 202256complete
December 202143complete
November 202114complete
October 20216complete
September 20219complete
August 20218complete
July 20215complete
June 202113complete
May 202113complete
April 202110complete
March 202112complete
February 20217complete
January 202111complete
December 20206complete
November 20207complete
October 20208complete
September 20208complete
August 20203complete
July 202011complete
June 20207complete
May 202013complete
April 20203complete
March 202013complete
February 202016complete
January 202059complete
December 201951complete
November 20197complete
October 20193complete
September 201912complete
August 20196complete
July 201912complete
June 201910complete
May 201912complete
April 20199complete
March 201912complete
February 20194complete
January 20198complete
December 20183complete
November 20185complete
October 20186complete
September 20189complete
August 20185complete
July 201811complete
June 20186complete
May 201815complete
April 20185complete
March 201813complete
February 201818complete
January 201869complete
December 201761complete
November 20176complete
October 20172complete
September 20179complete
August 20176complete
July 20177complete
June 20178complete
May 201712complete
April 201713complete
March 201714complete
February 20175complete
January 20177complete
December 20162complete
November 20166complete
October 20166complete
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-v2:3753de4e513cd6a03da8bfb07cde7798
Discovery method
multi-feed-turn-and-frequency-renewal-v2
Analyze method
exploratory-segmented-log10-ols-zero-as-one-v3
Search plan
a3ffccedeb8d8ce18a30df3636839f775af1e5188e55a1f685695133135c6e35
Evidence run
fdda7c7bbbeaa083e996ff1448269ebdf49d339f6a43e9dfa5151f208f4147c7

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.