Indiana License Plate Surveillance: A Living Statistical Report

Eyes Off Indiana

Abstract

Automated license plate readers photograph every passing vehicle and log its plate, location, and timestamp in searchable databases. To measure the scale of this infrastructure, Eyes Off Indiana continuously analyzes every ALPR camera recorded in OpenStreetMap — the crowdsourced dataset behind the DeFlock mapping project — together with US Census boundary files and population estimates, and detection volumes that Indiana agencies publish on their own Flock Safety transparency portals.

As of August 10, 2026, 3,482 ALPR cameras are documented in Indiana (at least 3,090 of them Flock Safety hardware), in 84 of 92 counties. Indiana ranks #9 nationally by camera count and #7 per capita, holding 2.7% of the 128,248 cameras mapped nationwide. A net 354 cameras were documented in the past 30 days. Applying the per-camera detection rate Indiana agencies self-report (685 vehicles per camera per day), the documented network alone reads on the order of 2.4 million plates per day. Indiana has no statewide law governing retention, access, or oversight of this data.

Every count on this page is a floor, not a census: these are cameras volunteers have found and documented. Section 7 explains what these numbers can and cannot say.

Prefer to see it on a map? Explore all 3,467 documented cameras — and add ones you spot — on the statewide ALPR camera map.

How to cite

Eyes Off Indiana, "Indiana License Plate Surveillance Datasets," Eyes Off Indiana, updated August 10, 2026, https://eyesoffindiana.org/datasets.

Camera locations © OpenStreetMap contributors (ODbL); analysis CC BY 4.0. Questions: info@eyesoffindiana.org

1. Growth of the Documented Network, 2022–Present

Download: CSV · JSON · Series updated August 10, 2026

The first ALPR camera in Indiana was documented in OpenStreetMap in 2022-12. Each camera in the series is dated to the earliest OpenStreetMap version carrying its ALPR tags — not the node's creation date, because mappers occasionally retag an existing pole or signal node when a camera is mounted on it. Months after July 2026 use the maximum daily statewide total recorded by our monitoring, which queries the Overpass API every day; the maximum (rather than the latest value) smooths transient dips when a mirror returns partial results. The source column in the download flags which method produced each row.

Figure 1. Cumulative ALPR cameras documented in Indiana by month, 2022-12 through 2026-08. Survivor curve from per-camera OpenStreetMap edit histories; latest months from daily Overpass totals.

Table 1a. Last 12 months

Month	Cameras	Added
2026-08	3,482	+112
2026-07	3,370	+341
2026-06	3,029	+264
2026-05	2,765	+224
2026-04	2,541	+126
2026-03	2,415	+145
2026-02	2,270	+242
2026-01	2,028	+213
2025-12	1,815	+356
2025-11	1,459	+551
2025-10	908	+137
2025-09	771	+139
2025-08	632	+85

Table 1b. Milestones

Cameras	Date reached
1	2022-12-05
100	2024-12-28
500	2025-07-05
1,000	2025-11-09
1,500	2025-12-03
2,000	2026-01-24
2,500	2026-04-24
3,000	2026-06-28

2. All 50 States Ranked

Download: CSV · JSON · Updated August 10, 2026

128,248 ALPR cameras are currently mapped in the United States. Each camera is assigned to a state with Census Bureau boundary polygons; rankings are provided by raw count, per 100,000 residents, and per 1,000 square miles of land area. Click any column header to re-sort — per-capita and density rankings often tell a different story than raw counts. Indiana's row is highlighted.

Table 2. ALPR cameras by state (click headers to sort)

Rank	State	Cameras	Per 100k	Per 1,000 sq mi	Per-capita rank	Density rank
#1	California	19,127	48.5	122.7	#8	#9
#2	Texas	15,559	49.7	59.6	#6	#19
#3	Georgia	8,874	79.4	153.8	#1	#7
#4	Florida	8,804	37.7	164.1	#15	#5
#5	Illinois	6,655	52.4	119.9	#4	#10
#6	Ohio	6,393	53.8	156.5	#3	#6
#7	New York	4,131	20.8	87.7	#35	#13
#8	Michigan	3,508	34.6	62.0	#19	#17
#9	Indiana	3,428	49.5	95.7	#7	#11
#10	North Carolina	3,382	30.6	69.6	#25	#16
#11	Tennessee	3,265	45.2	79.2	#10	#15
#12	Missouri	3,207	51.3	46.6	#5	#22
#13	Virginia	3,170	36.0	80.3	#16	#14
#14	Colorado	2,530	42.5	24.4	#12	#27
#15	Arizona	2,486	32.8	21.9	#22	#29
#16	Alabama	2,473	47.9	48.8	#9	#21
#17	Pennsylvania	2,447	18.7	54.7	#36	#20
#18	Washington	2,113	26.6	31.8	#27	#26
#19	Wisconsin	2,097	35.2	38.7	#18	#25
#20	Kansas	1,912	64.4	23.4	#2	#28
#21	South Carolina	1,836	33.5	61.1	#20	#18
#22	Louisiana	1,824	39.7	42.2	#13	#24
#23	Kentucky	1,776	38.7	45.0	#14	#23
#24	New Jersey	1,660	17.5	225.7	#38	#2
#25	Minnesota	1,418	24.5	17.8	#33	#33
#26	Oklahoma	1,348	32.9	19.7	#21	#31
#27	Massachusetts	1,122	15.7	143.8	#40	#8
#28	Utah	1,013	28.9	12.3	#26	#35
#29	Arkansas	993	32.2	19.1	#23	#32
#30	New Mexico	948	44.5	7.8	#11	#37
#31	Mississippi	933	31.7	19.9	#24	#30
#32	Connecticut	925	25.2	191.0	#31	#4
#33	Maryland	888	14.2	91.4	#41	#12
#34	Iowa	821	25.3	14.7	#30	#34
#35	Nevada	821	25.1	7.5	#32	#39
#36	Nebraska	528	26.3	6.9	#28	#40
#37	Oregon	483	11.3	5.0	#43	#43
#38	Idaho	419	20.9	5.1	#34	#42
#39	Delaware	378	35.9	194.0	#17	#3
#40	Rhode Island	286	25.7	276.6	#29	#1
#41	West Virginia	234	13.2	9.7	#42	#36
#42	South Dakota	150	16.2	2.0	#39	#46
#43	North Dakota	140	17.6	2.0	#37	#45
#44	Wyoming	65	11.1	0.7	#44	#48
#45	New Hampshire	60	4.3	6.7	#47	#41
#46	Maine	58	4.1	1.9	#48	#47
#47	Montana	58	5.1	0.4	#45	#49
#48	Hawaii	48	3.3	7.5	#49	#38
#49	Vermont	29	4.5	3.1	#46	#44
#50	Alaska	0	0.0	0.0	#50	#50

3. All 92 Indiana Counties Ranked

Download: CSV · JSON · Updated August 10, 2026

3,467 cameras are assigned to Indiana counties using Census cartographic county polygons. 84 counties have at least one documented camera; a county showing zero means none documented, not none installed. Each county name links to a local report with a camera map and the agencies involved.

Table 3. ALPR cameras by county (click headers to sort)

Rank	County	Cameras	Per 10k	Per 100 sq mi	Per-capita rank	Population
#1	Marion	593	6.0	150	#24	981,628
#2	Lake	251	5.0	50	#34	502,955
#3	Hamilton	236	6.2	60	#21	379,704
#4	St. Joseph	132	4.8	29	#36	273,744
#5	Allen	122	3.1	19	#63	399,295
#6	Vanderburgh	121	6.7	52	#17	180,387
#7	Johnson	120	7.0	37	#12	170,614
#8	Porter	119	6.8	28	#16	175,860
#9	Hendricks	116	6.1	29	#23	190,629
#10	Clark	112	8.8	30	#5	127,479
#11	Elkhart	104	5.0	22	#33	207,436
#12	LaPorte	96	8.6	16	#7	111,348
#13	Madison	84	6.3	19	#20	134,222
#14	Vigo	74	7.0	18	#13	106,166
#15	Tippecanoe	66	3.4	13	#57	191,650
#16	Hancock	59	6.6	19	#18	88,810
#17	Boone	54	6.9	13	#15	78,773
#18	Delaware	49	4.3	12	#42	112,951
#19	Dearborn	40	7.8	13	#9	51,435
#20	Grant	40	6.0	10	#25	66,458
#21	Kosciusko	39	4.8	7	#35	80,669
#22	Bartholomew	31	3.7	8	#53	84,741
#23	Dubois	30	6.9	7	#14	43,629
#24	Shelby	28	6.1	7	#22	45,654
#25	Greene	27	8.6	5	#6	31,219
#26	Jackson	27	5.7	5	#30	47,420
#27	Monroe	27	1.9	7	#72	140,702
#28	Marshall	26	5.6	6	#31	46,464
#29	Morgan	25	3.4	6	#58	73,825
#30	Warrick	25	3.8	6	#52	66,339
#31	Floyd	23	2.8	15	#66	81,931
#32	Henry	23	4.7	6	#39	49,081
#33	Noble	23	4.8	6	#37	47,811
#34	Wayne	22	3.3	5	#60	66,410
#35	Howard	21	2.5	7	#68	84,082
#36	Knox	21	5.9	4	#26	35,872
#37	Spencer	21	10.4	5	#2	20,192
#38	DeKalb	18	4.1	5	#45	44,330
#39	Jefferson	18	5.5	5	#32	32,921
#40	Wabash	18	5.8	4	#27	30,777
#41	Adams	17	4.6	5	#40	36,584
#42	Harrison	17	4.3	4	#43	39,978
#43	Huntington	17	4.6	4	#41	36,944
#44	Lawrence	16	3.5	4	#55	45,192
#45	Randolph	16	6.6	4	#19	24,337
#46	Cass	15	4.0	4	#47	37,559
#47	Montgomery	15	3.9	3	#49	38,633
#48	Putnam	15	4.0	3	#48	37,804
#49	Sullivan	15	7.2	3	#10	20,768
#50	Tipton	15	9.8	6	#3	15,324
#51	Blackford	13	11.0	8	#1	11,816
#52	LaGrange	13	3.2	3	#61	41,122
#53	Miami	12	3.4	3	#59	35,613
#54	Posey	12	4.8	3	#38	25,067
#55	Wells	12	4.2	3	#44	28,798
#56	Decatur	10	3.8	3	#51	26,421
#57	Newton	10	7.1	2	#11	14,131
#58	Brown	9	5.8	3	#29	15,650
#59	Crawford	9	8.6	3	#8	10,523
#60	Starke	9	3.8	3	#50	23,463
#61	Steuben	9	2.6	3	#67	34,862
#62	Vermillion	9	5.8	4	#28	15,516
#63	White	9	3.6	2	#54	24,833
#64	Warren	8	9.5	2	#4	8,451
#65	Fulton	7	3.5	2	#56	20,004
#66	Whitley	7	2.0	2	#70	34,885
#67	Orange	6	3.0	2	#65	19,824
#68	Perry	6	3.1	2	#62	19,320
#69	Scott	6	2.4	3	#69	24,751
#70	Jennings	5	1.8	1	#74	27,634
#71	Parke	5	3.0	1	#64	16,508
#72	Pulaski	5	4.0	1	#46	12,421
#73	Washington	5	1.8	1	#76	28,345
#74	Carroll	4	1.9	1	#71	20,747
#75	Clinton	4	1.2	1	#79	32,895
#76	Fayette	4	1.7	2	#77	23,335
#77	Gibson	4	1.2	1	#80	33,038
#78	Owen	4	1.8	1	#73	21,851
#79	Daviess	3	0.9	1	#82	34,097
#80	Jasper	3	0.9	1	#81	33,387
#81	Rush	3	1.8	1	#75	16,759
#82	Clay	1	0.4	0	#83	26,424
#83	Ripley	1	0.3	0	#84	29,214
#84	Union	1	1.5	1	#78	6,884
#85	Benton	0	0.0	0	#85	8,853
#86	Fountain	0	0.0	0	#86	16,833
#87	Franklin	0	0.0	0	#87	23,136
#88	Jay	0	0.0	0	#88	20,164
#89	Martin	0	0.0	0	#89	9,864
#90	Ohio	0	0.0	0	#90	5,996
#91	Pike	0	0.0	0	#91	12,116
#92	Switzerland	0	0.0	0	#92	9,988

4. All 566 Indiana Cities and Towns Ranked

Download: CSV · JSON · Updated August 10, 2026

2,018 cameras fall inside the incorporated limits of Indiana's 566 cities and towns, assigned using Census cartographic place polygons; the remainder of the statewide total sits in unincorporated areas and is covered by the county table above. 172 municipalities have at least one documented camera. Each row includes the parent county. The table below shows the top 50 by camera count — the downloads and the city rankings page carry all 566, and each city name links to a local report with a camera map and the agencies involved.

Table 4. ALPR cameras by city and town, top 50 (click headers to sort)

Rank	City / Town	County	Cameras	Per 1,000	Per sq mi	Per-capita rank	Population
#1	Indianapolis	Marion	447	0.5	1.2	#94	891,484
#2	Carmel	Hamilton	98	0.9	2.0	#40	103,606
#3	Fort Wayne	Allen	77	0.3	0.7	#133	273,203
#4	Jeffersonville	Clark	61	1.2	1.8	#27	52,912
#5	Evansville	Vanderburgh	60	0.5	1.3	#91	115,395
#6	Greenwood	Johnson	53	0.8	1.8	#52	68,175
#7	Michigan City	LaPorte	51	1.6	2.5	#19	31,466
#8	South Bend	St. Joseph	51	0.5	1.2	#97	103,713
#9	Noblesville	Hamilton	45	0.6	1.3	#73	75,239
#10	Anderson	Madison	41	0.7	1.0	#58	55,851
#11	Fishers	Hamilton	41	0.4	1.1	#108	103,986
#12	Elkhart	Elkhart	33	0.6	1.2	#71	53,690
#13	Muncie	Delaware	33	0.5	1.2	#93	65,320
#14	Terre Haute	Vigo	29	0.5	0.8	#95	58,531
#15	Bloomington	Monroe	24	0.3	1.0	#126	79,986
#16	Clarksville	Clark	24	1.1	2.4	#29	22,041
#17	Highland	Lake	24	1.0	3.5	#38	23,497
#18	Goshen	Elkhart	22	0.6	1.2	#65	34,458
#19	Greenfield	Hancock	22	0.8	1.5	#49	26,268
#20	Lafayette	Tippecanoe	22	0.3	0.7	#124	71,757
#21	Avon	Hendricks	21	0.8	1.1	#48	24,735
#22	Brownsburg	Hendricks	21	0.6	1.2	#68	33,430
#23	Franklin	Johnson	21	0.8	1.3	#50	26,158
#24	Plainfield	Hendricks	21	0.6	0.8	#84	37,796
#25	Zionsville	Boone	21	0.6	0.3	#66	33,161
#26	Lawrenceburg	Dearborn	20	3.8	3.8	#4	5,216
#27	Valparaiso	Porter	20	0.6	1.2	#80	35,065
#28	Mishawaka	St. Joseph	19	0.4	1.0	#114	51,020
#29	Gary	Lake	17	0.3	0.3	#139	67,555
#30	Westfield	Hamilton	17	0.3	0.5	#136	62,994
#31	Marion	Grant	16	0.6	1.0	#83	28,216
#32	Jasper	Dubois	15	0.9	1.1	#43	16,967
#33	Portage	Porter	14	0.4	0.5	#115	38,576
#34	Columbus	Bartholomew	13	0.3	0.5	#140	51,970
#35	Seymour	Jackson	13	0.6	1.0	#78	22,524
#36	Cumberland	Hancock	12	1.7	4.3	#18	7,211
#37	Kokomo	Howard	12	0.2	0.3	#150	60,093
#38	Lawrence	Marion	12	0.2	0.6	#143	49,817
#39	New Albany	Floyd	12	0.3	0.8	#118	37,652
#40	Warsaw	Kosciusko	12	0.7	0.9	#57	16,111
#41	Chesterton	Porter	11	0.8	1.2	#55	14,655
#42	Greendale	Dearborn	11	2.4	1.9	#7	4,581
#43	Merrillville	Lake	11	0.3	0.3	#128	36,989
#44	Vincennes	Knox	11	0.7	1.5	#62	16,506
#45	Wabash	Wabash	11	1.1	1.1	#33	10,275
#46	Griffith	Lake	10	0.6	1.3	#70	16,192
#47	Hammond	Lake	10	0.1	0.4	#165	76,030
#48	Beech Grove	Marion	9	0.6	2.0	#69	14,566
#49	Nappanee	Elkhart	9	1.3	1.8	#25	6,902
#50	Speedway	Marion	9	0.6	1.9	#67	14,268

5. Individual Camera Coordinates

Download: CSV · JSON · Updated August 10, 2026

Latitude and longitude of every documented camera (3,467 points), with the county each point falls in and whether the camera carries a Flock Safety manufacturer tag in OpenStreetMap. Useful for mapping, spatial joins against school zones, clinics, or places of worship, and independent verification of every figure above. Points are © OpenStreetMap contributors and redistributable under the ODbL. Explore them interactively on any county page.

6. What Agencies Themselves Report: Detection Volumes

Download: CSV · JSON · Updated August 10, 2026

Some Indiana agencies operate public Flock Safety "transparency portals" that disclose how many cameras they run and how many vehicles those cameras detected in the last 30 days. 18 Indiana portals currently disclose both figures (aggregated by Eyes On Flock): 190 cameras detecting 3,906,235 vehicles per 30 days — a camera-weighted mean of 685 vehicles per camera per day (median agency: 702).

Table 5. Self-reported detections on Indiana Flock transparency portals

Agency	Cameras	Vehicles / 30 days	Per camera / day
Vanderburgh County Sheriff's Office	49	532,638	362
Hendricks County Sheriff's Office	19	776,572	1,362
Greenfield Police Department	17	246,338	483
Pittsboro Police Department	13	104,411	268
Johnson County Sheriff's Office	12	311,111	864
Shelby County Sheriff's Office	12	184,915	514
Warrick County Sheriff's Office	12	262,294	729
Allen County Sheriff's Office	10	273,282	911
Mooresville Police Department	7	147,396	702
Avon Police Department	6	344,846	1,916
Martinsville Police Department	6	164,181	912
Wells County Sheriff's Office	6	95,713	532
Delphi Police Department	5	61,677	411
Bluffton Police Department	4	51,290	427
Cedar Lake Police Department	4	95,338	794
West Lafayette Police Department	4	205,228	1,710
Milton Police Department	2	41,476	691
Seelyville Police Department	2	7,529	125

5.1 The statewide plates-scanned estimate

The homepage figure "plates scanned in Indiana today" is derived from this dataset in three steps, with every input exposed at /api/plates-scanned-today:

Rate. The camera-weighted mean detection rate from Table 5: 3,906,235 vehicles ÷ 190 cameras ÷ 30 days = 685 per camera per day.
Scale. Multiplied by the 3,482 cameras currently documented statewide: ≈ 2,386,230 plate reads per day.
Time of day. Distributed across the day with a typical weekday hourly traffic profile in Indiana local time (roughly 1% of daily traffic falls in the 2–3 a.m. hour versus about 8% at the 4–5 p.m. peak), rather than assuming a uniform rate around the clock.

This estimate supersedes an earlier version of our homepage counter that assumed a uniform 8,640 reads per camera per day — an assumption roughly 12 times higher than what Indiana agencies themselves report. The current method still carries real uncertainty (Section 7.3, item 6), but every component now traces to a published source.

7. Reading These Numbers Correctly

6.1 Documented is not installed

Everything on this page counts cameras that volunteers have physically located and added to OpenStreetMap. No Indiana agency is required to disclose camera locations, and most do not; crowdsourced documentation is the only statewide accounting that exists. Three consequences follow. First, every count is a lower bound — the installed total is certainly higher. Second, coverage is uneven: areas with active mappers (cities, suburbs, interstate corridors) are documented more completely than rural areas, so low rural counts partly reflect fewer mappers, not just fewer cameras. Third, a county with zero documented cameras is a county where none have been found, which is not evidence of absence.

6.2 Why the statewide totals differ slightly across tables

Careful readers will notice the statewide total varies by up to a few percent depending on the table. These are boundary-resolution and method artifacts, not errors; each table is internally consistent. Compare within a table, not across tables.

Table 6. The same network, measured four ways

Figure	Measurement	Why it differs
3,482	Statewide total (daily Overpass query) Used in: Homepage counter; growth series (latest months)	Direct count of ALPR nodes inside Indiana's OpenStreetMap administrative boundary, refreshed daily.
3,467	Sum of county assignments Used in: County rankings; county pages	Each camera point assigned to a county with Census cartographic county polygons; cameras just outside the polygons (border roads, simplification gaps) are dropped.
3,428	Indiana row in the 50-state table Used in: State rankings	Assignment with generalized 1:20,000,000 state outlines, which clip more border cameras than county polygons do.
3,482	Growth-series endpoint Used in: Growth dataset	Survivor curve (cameras on today's map dated by first documentation) extended with the maximum daily Overpass total each month.

6.3 Known biases and limitations

Documentation growth is not installation growth. The growth curve in Section 1 dates each camera to when it was first documented. A surge in the curve can reflect a burst of volunteer mapping (for example, after DeFlock attracted national attention in 2025) as much as a burst of installation, and the curve's start in late 2022 marks the beginning of mapping, not of ALPR use in Indiana. Historical cross-checks against the OpenStreetMap time-machine database agree with the curve within about 4%, so deletions do not distort the trend — but the curve should be read as "documentation of the network," which converges toward the network itself only as mapping matures.
Survivor bias. The per-camera dating method cannot see cameras that were mapped and later removed from the map. The ~4% agreement with direct historical queries indicates this effect is small.
Geographic coverage bias. Mapping effort concentrates where mappers live and drive. Urban and suburban counts are more complete than rural ones, which compresses true differences between metro and rural counties by an unknown amount.
Vendor attribution is incomplete. The Flock Safety figure counts cameras whose OpenStreetMap entry carries a Flock manufacturer tag (3,090 of 3,467 at last refresh). Untagged cameras may also be Flock hardware, so the Flock share is itself a floor.
Per-capita denominators use residential population. Cameras scan travelers, not residents. Counties with heavy commuter or interstate traffic will scan far more non-residents than the per-capita rate implies.
The plates-scanned estimate inherits its inputs' limits. The per-camera rate comes from the 18 agencies that choose to publish portals, which may not represent all operators; the figures are self-reported and unaudited; detections of the same vehicle by multiple cameras count separately (the relevant measure for location tracking, but not unique vehicles); and the hourly profile is a typical weekday, not measured Indiana traffic.
Boundary artifacts. Cameras within a few meters of state or county lines can be clipped by simplified boundary polygons, producing the small discrepancies in Table 6 (at most about 1.5% of the statewide total).

8. Data and Methods

Camera locations. Every OpenStreetMap node tagged man_made=surveillance with surveillance:type=ALPR, retrieved via the Overpass API. The statewide total refreshes daily; the state and county rankings, camera coordinates, and growth series refresh nightly at midnight (US Eastern). This is the same community-maintained dataset that powers DeFlock.me. If a refresh fails, the page serves the last successful figures and flags the section with its baseline date rather than showing an error.

Geographic assignment. Each camera point is assigned to a state or county by ray-casting point-in-polygon tests against US Census Bureau cartographic boundary files (1:20,000,000 outlines for states; higher-resolution county polygons for Indiana). The District of Columbia and Puerto Rico are excluded from the 50-state ranking.

Growth series. For each camera on today's map we retrieve its OpenStreetMap edit history and date it to the earliest version carrying the ALPR tags, correcting for nodes that were retagged from existing poles or signals (skipping this correction would backdate several cameras by years). This survivor curve was cross-checked against the Overpass API's historical database at every quarter boundary since 2019, agreeing within about 4% throughout. From August 2026 onward, each month's value is the maximum daily statewide total recorded by our monitoring.

Denominators. US Census Bureau Vintage 2024 population estimates and 2024 gazetteer land areas (states and counties).

Detection volumes. "Vehicles detected in the last 30 days" and camera counts as published on agencies' Flock Safety transparency portals, collected by the independent aggregator Eyes On Flock and re-derived by us nightly from Indiana portals disclosing both figures.

Availability and license. All six datasets are downloadable above in CSV and JSON; the JSON downloads embed source, license, and citation metadata. Camera locations are © OpenStreetMap contributors under the ODbL; our compilations and analysis are CC BY 4.0. Analysis scripts and archival snapshots are available on request at info@eyesoffindiana.org. Downloads are free to republish and analyze with attribution; please do not hotlink these endpoints as a live data API for another site — download and host a copy, or contact us about automated access.

Take Action

Indiana has no statewide law limiting how long ALPR location data is kept, who can search it, or how it is audited. Sign the Eyes Off Indiana petition asking the General Assembly to set rules for retention, access, and oversight, and contact your state legislators.