Generated evidence · pending editorial review

Bridgeport: All categories · Ward: 11 — Business licenses

All categories · Ward: 11

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
584
October 2024–September 2026
563
Change in monthly mean
-0.88

The two windows each contain 24 complete covered months. The magnitude of the change is 1.04-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
217
October 2025–September 2026
346
Change in monthly mean
10.75

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: 13Dec 2016: 12Jan 2017: 14Feb 2017: 14Mar 2017: 22Apr 2017: 20May 2017: 26Jun 2017: 34Jul 2017: 21Aug 2017: 20Sep 2017: 16Oct 2017: 13Nov 2017: 21Dec 2017: 102Jan 2018: 75Feb 2018: 17Mar 2018: 19Apr 2018: 12May 2018: 21Jun 2018: 82Jul 2018: 17Aug 2018: 20Sep 2018: 17Oct 2018: 9Nov 2018: 15Dec 2018: 13Jan 2019: 12Feb 2019: 10Mar 2019: 15Apr 2019: 20May 2019: 27Jun 2019: 28Jul 2019: 24Aug 2019: 17Sep 2019: 13Oct 2019: 11Nov 2019: 16Dec 2019: 87Jan 2020: 71Feb 2020: 18Mar 2020: 12Apr 2020: 13May 2020: 17Jun 2020: 73Jul 2020: 14Aug 2020: 12Sep 2020: 19Oct 2020: 12Nov 2020: 13Dec 2020: 18Jan 2021: 13Feb 2021: 8Mar 2021: 19Apr 2021: 21May 2021: 19Jun 2021: 28Jul 2021: 22Aug 2021: 20Sep 2021: 21Oct 2021: 10Nov 2021: 22Dec 2021: 83Jan 2022: 71Feb 2022: 19Mar 2022: 19Apr 2022: 15May 2022: 20Jun 2022: 70Jul 2022: 23Aug 2022: 15Sep 2022: 18Oct 2022: 15Nov 2022: 12Dec 2022: 19Jan 2023: 13Feb 2023: 13Mar 2023: 18Apr 2023: 18May 2023: 19Jun 2023: 25Jul 2023: 25Aug 2023: 22Sep 2023: 20Oct 2023: 11Nov 2023: 12Dec 2023: 83Jan 2024: 65Feb 2024: 19Mar 2024: 18Apr 2024: 15May 2024: 21Jun 2024: 69Jul 2024: 22Aug 2024: 15Sep 2024: 15Oct 2024: 16Nov 2024: 8Dec 2024: 24Jan 2025: 9Feb 2025: 7Mar 2025: 18Apr 2025: 20May 2025: 18Jun 2025: 28Jul 2025: 30Aug 2025: 19Sep 2025: 20Oct 2025: 13Nov 2025: 15Dec 2025: 68Jan 2026: 57Feb 2026: 24Mar 2026: 16Apr 2026: 21May 2026: 18Jun 2026: 70Jul 2026: 24Aug 2026: 10Sep 2026: 10ZeroUnknownOct 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 2026120×1.010.9862–1.02400.330
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 202610complete
August 202610complete
July 202624complete
June 202670complete
May 202618complete
April 202621complete
March 202616complete
February 202624complete
January 202657complete
December 202568complete
November 202515complete
October 202513complete
September 202520complete
August 202519complete
July 202530complete
June 202528complete
May 202518complete
April 202520complete
March 202518complete
February 20257complete
January 20259complete
December 202424complete
November 20248complete
October 202416complete
September 202415complete
August 202415complete
July 202422complete
June 202469complete
May 202421complete
April 202415complete
March 202418complete
February 202419complete
January 202465complete
December 202383complete
November 202312complete
October 202311complete
September 202320complete
August 202322complete
July 202325complete
June 202325complete
May 202319complete
April 202318complete
March 202318complete
February 202313complete
January 202313complete
December 202219complete
November 202212complete
October 202215complete
September 202218complete
August 202215complete
July 202223complete
June 202270complete
May 202220complete
April 202215complete
March 202219complete
February 202219complete
January 202271complete
December 202183complete
November 202122complete
October 202110complete
September 202121complete
August 202120complete
July 202122complete
June 202128complete
May 202119complete
April 202121complete
March 202119complete
February 20218complete
January 202113complete
December 202018complete
November 202013complete
October 202012complete
September 202019complete
August 202012complete
July 202014complete
June 202073complete
May 202017complete
April 202013complete
March 202012complete
February 202018complete
January 202071complete
December 201987complete
November 201916complete
October 201911complete
September 201913complete
August 201917complete
July 201924complete
June 201928complete
May 201927complete
April 201920complete
March 201915complete
February 201910complete
January 201912complete
December 201813complete
November 201815complete
October 20189complete
September 201817complete
August 201820complete
July 201817complete
June 201882complete
May 201821complete
April 201812complete
March 201819complete
February 201817complete
January 201875complete
December 2017102complete
November 201721complete
October 201713complete
September 201716complete
August 201720complete
July 201721complete
June 201734complete
May 201726complete
April 201720complete
March 201722complete
February 201714complete
January 201714complete
December 201612complete
November 201613complete
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:c18297d8c14ba8900414ff786b248c12
Discovery method
multi-feed-turn-and-frequency-renewal-v2
Analyze method
exploratory-segmented-log10-ols-zero-as-one-v3
Search plan
a3ffccedeb8d8ce18a30df3636839f775af1e5188e55a1f685695133135c6e35
Evidence run
3c6a25798e2b15c3349fa2a8c3184595ef9c83dea1cb8810c62d9ad326b55d77

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.