Generated evidence · pending editorial review

Edgewater: All categories · Ward: 48 — Business licenses

All categories · Ward: 48

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
722
October 2024–September 2026
719
Change in monthly mean
-0.13

The two windows each contain 24 complete covered months. The magnitude of the change is 1-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
456
October 2025–September 2026
263
Change in monthly mean
-16.08

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: 20Nov 2016: 20Dec 2016: 9Jan 2017: 13Feb 2017: 24Mar 2017: 19Apr 2017: 30May 2017: 23Jun 2017: 19Jul 2017: 124Aug 2017: 201Sep 2017: 28Oct 2017: 18Nov 2017: 15Dec 2017: 11Jan 2018: 21Feb 2018: 19Mar 2018: 27Apr 2018: 16May 2018: 16Jun 2018: 27Jul 2018: 26Aug 2018: 21Sep 2018: 23Oct 2018: 28Nov 2018: 13Dec 2018: 14Jan 2019: 11Feb 2019: 26Mar 2019: 24Apr 2019: 29May 2019: 30Jun 2019: 25Jul 2019: 111Aug 2019: 160Sep 2019: 21Oct 2019: 19Nov 2019: 14Dec 2019: 16Jan 2020: 16Feb 2020: 20Mar 2020: 23Apr 2020: 12May 2020: 17Jun 2020: 25Jul 2020: 24Aug 2020: 24Sep 2020: 19Oct 2020: 21Nov 2020: 14Dec 2020: 16Jan 2021: 8Feb 2021: 28Mar 2021: 19Apr 2021: 20May 2021: 24Jun 2021: 27Jul 2021: 103Aug 2021: 138Sep 2021: 19Oct 2021: 20Nov 2021: 18Dec 2021: 24Jan 2022: 19Feb 2022: 22Mar 2022: 24Apr 2022: 14May 2022: 24Jun 2022: 26Jul 2022: 38Aug 2022: 25Sep 2022: 26Oct 2022: 23Nov 2022: 30Dec 2022: 18Jan 2023: 13Feb 2023: 32Mar 2023: 19Apr 2023: 22May 2023: 32Jun 2023: 26Jul 2023: 108Aug 2023: 120Sep 2023: 25Oct 2023: 14Nov 2023: 25Dec 2023: 18Jan 2024: 22Feb 2024: 21Mar 2024: 10Apr 2024: 18May 2024: 28Jun 2024: 21Jul 2024: 30Aug 2024: 26Sep 2024: 21Oct 2024: 27Nov 2024: 25Dec 2024: 15Jan 2025: 14Feb 2025: 27Mar 2025: 23Apr 2025: 25May 2025: 30Jun 2025: 30Jul 2025: 94Aug 2025: 114Sep 2025: 32Oct 2025: 19Nov 2025: 16Dec 2025: 22Jan 2026: 25Feb 2026: 18Mar 2026: 13Apr 2026: 23May 2026: 28Jun 2026: 19Jul 2026: 27Aug 2026: 29Sep 2026: 24ZeroUnknownOct 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 2026120×1.010.9880–1.02600.459
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 202624complete
August 202629complete
July 202627complete
June 202619complete
May 202628complete
April 202623complete
March 202613complete
February 202618complete
January 202625complete
December 202522complete
November 202516complete
October 202519complete
September 202532complete
August 2025114complete
July 202594complete
June 202530complete
May 202530complete
April 202525complete
March 202523complete
February 202527complete
January 202514complete
December 202415complete
November 202425complete
October 202427complete
September 202421complete
August 202426complete
July 202430complete
June 202421complete
May 202428complete
April 202418complete
March 202410complete
February 202421complete
January 202422complete
December 202318complete
November 202325complete
October 202314complete
September 202325complete
August 2023120complete
July 2023108complete
June 202326complete
May 202332complete
April 202322complete
March 202319complete
February 202332complete
January 202313complete
December 202218complete
November 202230complete
October 202223complete
September 202226complete
August 202225complete
July 202238complete
June 202226complete
May 202224complete
April 202214complete
March 202224complete
February 202222complete
January 202219complete
December 202124complete
November 202118complete
October 202120complete
September 202119complete
August 2021138complete
July 2021103complete
June 202127complete
May 202124complete
April 202120complete
March 202119complete
February 202128complete
January 20218complete
December 202016complete
November 202014complete
October 202021complete
September 202019complete
August 202024complete
July 202024complete
June 202025complete
May 202017complete
April 202012complete
March 202023complete
February 202020complete
January 202016complete
December 201916complete
November 201914complete
October 201919complete
September 201921complete
August 2019160complete
July 2019111complete
June 201925complete
May 201930complete
April 201929complete
March 201924complete
February 201926complete
January 201911complete
December 201814complete
November 201813complete
October 201828complete
September 201823complete
August 201821complete
July 201826complete
June 201827complete
May 201816complete
April 201816complete
March 201827complete
February 201819complete
January 201821complete
December 201711complete
November 201715complete
October 201718complete
September 201728complete
August 2017201complete
July 2017124complete
June 201719complete
May 201723complete
April 201730complete
March 201719complete
February 201724complete
January 201713complete
December 20169complete
November 201620complete
October 201620complete
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.