Generated evidence · pending editorial review

Edgewater: 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
954
October 2024–September 2026
946
Change in monthly mean
-0.33

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
597
October 2025–September 2026
349
Change in monthly mean
-20.67

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: 23Nov 2016: 27Dec 2016: 11Jan 2017: 19Feb 2017: 29Mar 2017: 20Apr 2017: 31May 2017: 26Jun 2017: 36Jul 2017: 171Aug 2017: 265Sep 2017: 35Oct 2017: 25Nov 2017: 20Dec 2017: 12Jan 2018: 23Feb 2018: 27Mar 2018: 34Apr 2018: 19May 2018: 29Jun 2018: 47Jul 2018: 30Aug 2018: 24Sep 2018: 29Oct 2018: 36Nov 2018: 18Dec 2018: 17Jan 2019: 17Feb 2019: 33Mar 2019: 30Apr 2019: 36May 2019: 35Jun 2019: 40Jul 2019: 151Aug 2019: 214Sep 2019: 27Oct 2019: 24Nov 2019: 19Dec 2019: 21Jan 2020: 20Feb 2020: 26Mar 2020: 30Apr 2020: 13May 2020: 27Jun 2020: 37Jul 2020: 29Aug 2020: 33Sep 2020: 24Oct 2020: 23Nov 2020: 20Dec 2020: 19Jan 2021: 14Feb 2021: 35Mar 2021: 23Apr 2021: 27May 2021: 33Jun 2021: 41Jul 2021: 139Aug 2021: 193Sep 2021: 30Oct 2021: 28Nov 2021: 28Dec 2021: 27Jan 2022: 20Feb 2022: 32Mar 2022: 31Apr 2022: 19May 2022: 37Jun 2022: 41Jul 2022: 43Aug 2022: 38Sep 2022: 32Oct 2022: 26Nov 2022: 40Dec 2022: 22Jan 2023: 17Feb 2023: 42Mar 2023: 26Apr 2023: 33May 2023: 41Jun 2023: 34Jul 2023: 141Aug 2023: 170Sep 2023: 33Oct 2023: 17Nov 2023: 34Dec 2023: 22Jan 2024: 25Feb 2024: 26Mar 2024: 15Apr 2024: 21May 2024: 39Jun 2024: 33Jul 2024: 37Aug 2024: 35Sep 2024: 25Oct 2024: 35Nov 2024: 28Dec 2024: 21Jan 2025: 18Feb 2025: 34Mar 2025: 27Apr 2025: 35May 2025: 36Jun 2025: 42Jul 2025: 123Aug 2025: 157Sep 2025: 41Oct 2025: 23Nov 2025: 25Dec 2025: 25Jan 2026: 28Feb 2026: 26Mar 2026: 21Apr 2026: 29May 2026: 36Jun 2026: 31Jul 2026: 37Aug 2026: 41Sep 2026: 27ZeroUnknownOct 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 (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 2026120×1.010.9888–1.02700.504
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 202627complete
August 202641complete
July 202637complete
June 202631complete
May 202636complete
April 202629complete
March 202621complete
February 202626complete
January 202628complete
December 202525complete
November 202525complete
October 202523complete
September 202541complete
August 2025157complete
July 2025123complete
June 202542complete
May 202536complete
April 202535complete
March 202527complete
February 202534complete
January 202518complete
December 202421complete
November 202428complete
October 202435complete
September 202425complete
August 202435complete
July 202437complete
June 202433complete
May 202439complete
April 202421complete
March 202415complete
February 202426complete
January 202425complete
December 202322complete
November 202334complete
October 202317complete
September 202333complete
August 2023170complete
July 2023141complete
June 202334complete
May 202341complete
April 202333complete
March 202326complete
February 202342complete
January 202317complete
December 202222complete
November 202240complete
October 202226complete
September 202232complete
August 202238complete
July 202243complete
June 202241complete
May 202237complete
April 202219complete
March 202231complete
February 202232complete
January 202220complete
December 202127complete
November 202128complete
October 202128complete
September 202130complete
August 2021193complete
July 2021139complete
June 202141complete
May 202133complete
April 202127complete
March 202123complete
February 202135complete
January 202114complete
December 202019complete
November 202020complete
October 202023complete
September 202024complete
August 202033complete
July 202029complete
June 202037complete
May 202027complete
April 202013complete
March 202030complete
February 202026complete
January 202020complete
December 201921complete
November 201919complete
October 201924complete
September 201927complete
August 2019214complete
July 2019151complete
June 201940complete
May 201935complete
April 201936complete
March 201930complete
February 201933complete
January 201917complete
December 201817complete
November 201818complete
October 201836complete
September 201829complete
August 201824complete
July 201830complete
June 201847complete
May 201829complete
April 201819complete
March 201834complete
February 201827complete
January 201823complete
December 201712complete
November 201720complete
October 201725complete
September 201735complete
August 2017265complete
July 2017171complete
June 201736complete
May 201726complete
April 201731complete
March 201720complete
February 201729complete
January 201719complete
December 201611complete
November 201627complete
October 201623complete
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-v2:1072c5a6949709335ab850aeceb5eb74
Discovery method
multi-feed-turn-and-frequency-renewal-v2
Analyze method
exploratory-segmented-log10-ols-zero-as-one-v3
Search plan
a3ffccedeb8d8ce18a30df3636839f775af1e5188e55a1f685695133135c6e35
Evidence run
5fc801e06b3cd8cddc35d344c2d7dcc74e31dd2e83be154820903f146d4e58e7

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.