Generated evidence · pending editorial review

South Lawndale: 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
1,151
October 2024–September 2026
1,069
Change in monthly mean
-3.42

The two windows each contain 24 complete covered months. The magnitude of the change is 1.08-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
395
October 2025–September 2026
674
Change in monthly mean
23.25

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: 22Nov 2016: 12Dec 2016: 25Jan 2017: 19Feb 2017: 26Mar 2017: 51Apr 2017: 35May 2017: 46Jun 2017: 65Jul 2017: 30Aug 2017: 47Sep 2017: 25Oct 2017: 26Nov 2017: 37Dec 2017: 67Jan 2018: 33Feb 2018: 32Mar 2018: 24Apr 2018: 28May 2018: 39Jun 2018: 29Jul 2018: 34Aug 2018: 517Sep 2018: 51Oct 2018: 34Nov 2018: 18Dec 2018: 21Jan 2019: 19Feb 2019: 20Mar 2019: 37Apr 2019: 34May 2019: 43Jun 2019: 59Jul 2019: 26Aug 2019: 60Sep 2019: 25Oct 2019: 22Nov 2019: 36Dec 2019: 63Jan 2020: 30Feb 2020: 33Mar 2020: 23Apr 2020: 17May 2020: 26Jun 2020: 21Jul 2020: 19Aug 2020: 452Sep 2020: 41Oct 2020: 24Nov 2020: 23Dec 2020: 24Jan 2021: 19Feb 2021: 21Mar 2021: 35Apr 2021: 36May 2021: 33Jun 2021: 49Jul 2021: 32Aug 2021: 45Sep 2021: 21Oct 2021: 33Nov 2021: 36Dec 2021: 63Jan 2022: 26Feb 2022: 39Mar 2022: 40Apr 2022: 23May 2022: 29Jun 2022: 26Jul 2022: 26Aug 2022: 400Sep 2022: 50Oct 2022: 28Nov 2022: 23Dec 2022: 29Jan 2023: 23Feb 2023: 23Mar 2023: 42Apr 2023: 37May 2023: 34Jun 2023: 51Jul 2023: 32Aug 2023: 49Sep 2023: 19Oct 2023: 37Nov 2023: 38Dec 2023: 57Jan 2024: 32Feb 2024: 34Mar 2024: 30Apr 2024: 25May 2024: 41Jun 2024: 33Jul 2024: 29Aug 2024: 355Sep 2024: 50Oct 2024: 23Nov 2024: 33Dec 2024: 30Jan 2025: 26Feb 2025: 21Mar 2025: 28Apr 2025: 44May 2025: 33Jun 2025: 51Jul 2025: 29Aug 2025: 56Sep 2025: 21Oct 2025: 23Nov 2025: 38Dec 2025: 60Jan 2026: 27Feb 2026: 27Mar 2026: 30Apr 2026: 21May 2026: 34Jun 2026: 24Jul 2026: 37Aug 2026: 318Sep 2026: 35ZeroUnknownOct 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 2026120×1.010.9881–1.02800.083
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 202635complete
August 2026318complete
July 202637complete
June 202624complete
May 202634complete
April 202621complete
March 202630complete
February 202627complete
January 202627complete
December 202560complete
November 202538complete
October 202523complete
September 202521complete
August 202556complete
July 202529complete
June 202551complete
May 202533complete
April 202544complete
March 202528complete
February 202521complete
January 202526complete
December 202430complete
November 202433complete
October 202423complete
September 202450complete
August 2024355complete
July 202429complete
June 202433complete
May 202441complete
April 202425complete
March 202430complete
February 202434complete
January 202432complete
December 202357complete
November 202338complete
October 202337complete
September 202319complete
August 202349complete
July 202332complete
June 202351complete
May 202334complete
April 202337complete
March 202342complete
February 202323complete
January 202323complete
December 202229complete
November 202223complete
October 202228complete
September 202250complete
August 2022400complete
July 202226complete
June 202226complete
May 202229complete
April 202223complete
March 202240complete
February 202239complete
January 202226complete
December 202163complete
November 202136complete
October 202133complete
September 202121complete
August 202145complete
July 202132complete
June 202149complete
May 202133complete
April 202136complete
March 202135complete
February 202121complete
January 202119complete
December 202024complete
November 202023complete
October 202024complete
September 202041complete
August 2020452complete
July 202019complete
June 202021complete
May 202026complete
April 202017complete
March 202023complete
February 202033complete
January 202030complete
December 201963complete
November 201936complete
October 201922complete
September 201925complete
August 201960complete
July 201926complete
June 201959complete
May 201943complete
April 201934complete
March 201937complete
February 201920complete
January 201919complete
December 201821complete
November 201818complete
October 201834complete
September 201851complete
August 2018517complete
July 201834complete
June 201829complete
May 201839complete
April 201828complete
March 201824complete
February 201832complete
January 201833complete
December 201767complete
November 201737complete
October 201726complete
September 201725complete
August 201747complete
July 201730complete
June 201765complete
May 201746complete
April 201735complete
March 201751complete
February 201726complete
January 201719complete
December 201625complete
November 201612complete
October 201622complete
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-v2:1df38efd540ce5e0b9ffa0bd6a89f07c
Discovery method
multi-feed-turn-and-frequency-renewal-v2
Analyze method
exploratory-segmented-log10-ols-zero-as-one-v3
Search plan
a3ffccedeb8d8ce18a30df3636839f775af1e5188e55a1f685695133135c6e35
Evidence run
8d30249cdfbb6c995f8774c0491d80ffbb0f7e74b31e5f1b3ffa0756497d6228

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.