Prism Geo · city intelligence · pilot
Prism Geo · Rankings · Online Scam
Corruption Fraud · evidence ranking · 2021–2025

Which Indian cities show the strongest online scam reporting signal?

A comparison of 45 Indian cities covered by Prism Geo. 32 pass the evidence gates and are ranked by exact online_scam-tagged news reports per 10,000 civic reports. This measures the prominence of a topic in coverage—not real-world incidence, prevalence, or safety.

Geographic view · 32 city-linked districts

Where the online scam reporting signal is concentrated

Every highlighted polygon is the 2021 administrative district containing a ranked city's coordinate. Color shows the city's reporting-signal rank band—not a measured district-wide rate, prevalence, or severity assessment.

Ranks 1–5Ranks 6–10Ranks 11–20Ranks 21–32 Not ranked
Indian districts containing cities in the online scam reporting ranking India's national silhouette has a soft boundary shadow. District lines are subdued, while the 32 districts containing ranked cities are highlighted by rank. #7 Indore — Indore district proxy — 16.77 tagged reports per 10,000 civic reports#4 Bhopal — Bhopal district proxy — 18.65 tagged reports per 10,000 civic reports#30 Srinagar — Srinagar district proxy — 2.75 tagged reports per 10,000 civic reports#20 Surat — Surat district proxy — 7.16 tagged reports per 10,000 civic reports#10 Gurugram — Gurgaon district proxy — 13.84 tagged reports per 10,000 civic reports#9 Chandigarh — Chandigarh district proxy — 14.79 tagged reports per 10,000 civic reports#19 Dehradun — Dehradun district proxy — 7.18 tagged reports per 10,000 civic reports#13 Kochi — Ernakulam district proxy — 11.02 tagged reports per 10,000 civic reports#17 Thiruvananthapuram — Thiruvananthapuram district proxy — 8.78 tagged reports per 10,000 civic reports#23 Kolkata — Kolkata district proxy — 4.80 tagged reports per 10,000 civic reports#11 Ludhiana — Ludhiana district proxy — 13.23 tagged reports per 10,000 civic reports#8 Mysuru — Mysore district proxy — 14.98 tagged reports per 10,000 civic reports#16 Bengaluru — Bangalore district proxy — 8.93 tagged reports per 10,000 civic reports#18 Nashik — Nashik district proxy — 8.60 tagged reports per 10,000 civic reports#3 Pune — Pune district proxy — 33.39 tagged reports per 10,000 civic reports#1 Thane — Thane district proxy — 44.36 tagged reports per 10,000 civic reports#12 Mumbai — Mumbai Suburban district proxy — 12.80 tagged reports per 10,000 civic reports#5 Nagpur — Nagpur district proxy — 18.19 tagged reports per 10,000 civic reports#31 Bhubaneswar — Khordha district proxy — 2.30 tagged reports per 10,000 civic reports#27 Jaipur — Jaipur district proxy — 3.09 tagged reports per 10,000 civic reports#14 Udaipur — Udaipur district proxy — 9.76 tagged reports per 10,000 civic reports#25 Meerut — Meerut district proxy — 3.85 tagged reports per 10,000 civic reports#26 Bareilly — Bareilly district proxy — 3.61 tagged reports per 10,000 civic reports#22 Lucknow — Lucknow district proxy — 5.94 tagged reports per 10,000 civic reports#24 Kanpur — Kanpur Nagar district proxy — 4.05 tagged reports per 10,000 civic reports#21 Ghaziabad — Ghaziabad district proxy — 6.47 tagged reports per 10,000 civic reports#6 Noida — Gautam Buddha Nagar district proxy — 17.68 tagged reports per 10,000 civic reports#29 Agra — Agra district proxy — 2.88 tagged reports per 10,000 civic reports#15 Chennai — Chennai district proxy — 9.72 tagged reports per 10,000 civic reports#28 Prayagraj — Allahabad district proxy — 3.09 tagged reports per 10,000 civic reports#2 Coimbatore — Coimbatore district proxy — 39.18 tagged reports per 10,000 civic reports#32 New Delhi — Central district proxy — 2.19 tagged reports per 10,000 civic reports

Boundary geometry: geoBoundaries, ADM2, 2021 representation, Open Data Commons Open Database License 1.0. Districts are visual locators for city-ranked data and may not reflect later administrative changes.

How to read this ranking

Thane leads the normalized comparison at 44.36 tagged reports per 10,000 civic reports. Mumbai leads raw volume with 153 reports. The two leaders can differ because normalization controls for each city's overall civic-news footprint.

Cities evaluated
45
existing India profiles
Cities ranked
32
passed both evidence gates
Normalized leader
Thane
44.36 per 10K
Raw-volume leader
Mumbai
153 tagged reports
Largest recent rise
Thane
+32.10 per-10K points
National comparison
-0.84
recent per-10K change
Computed findings
What stands out
Complete ranking
Primary and companion measures

Online Scam reporting signal by city

The primary rank uses tagged reports per 10,000 civic reports. Raw rank, recent change, and active years show whether a result depends on city size, timing, or a narrow burst.

RankCitySignal / 10KTagged reportsRaw rankRecent changeActive years
1Thane
Maharashtra
44.36338+32.105/5
2Coimbatore
Tamil Nadu
39.181714-4.364/5
3Pune
Maharashtra
33.391212-23.375/5
4Bhopal
Madhya Pradesh
18.65319-27.024/5
5Nagpur
Maharashtra
18.191913-6.925/5
6Noida
Uttar Pradesh
17.68365+12.615/5
7Indore
Madhya Pradesh
16.771912+9.995/5
8Mysuru
Karnataka
14.98721+10.954/5
9Chandigarh
Chandigarh
14.79336-11.545/5
10Gurugram
Haryana
13.84337-6.345/5
11Ludhiana
Punjab
13.231715+4.564/5
12Mumbai
Maharashtra
12.801531-3.855/5
13Kochi
Kerala
11.021019+14.853/5
14Udaipur
Rajasthan
9.76427+9.783/5
15Chennai
Tamil Nadu
9.722710+9.904/5
16Bengaluru
Karnataka
8.93524+7.245/5
17Thiruvananthapuram
Kerala
8.781317+10.275/5
18Nashik
Maharashtra
8.60331-11.632/5
19Dehradun
Uttarakhand
7.18720+3.254/5
20Surat
Gujarat
7.16332-10.672/5
21Ghaziabad
Uttar Pradesh
6.471118+5.824/5
22Lucknow
Uttar Pradesh
5.942111-0.385/5
23Kolkata
West Bengal
4.801516-5.665/5
24Kanpur
Uttar Pradesh
4.05330+4.553/5
25Meerut
Uttar Pradesh
3.85425+0.794/5
26Bareilly
Uttar Pradesh
3.61329-2.133/5
27Jaipur
Rajasthan
3.09522+5.803/5
28Prayagraj
Uttar Pradesh
3.09523+1.384/5
29Agra
Uttar Pradesh
2.88328+3.212/5
30Srinagar
Jammu and Kashmir
2.75426-1.752/5
31Bhubaneswar
Odisha
2.30424-1.804/5
32New Delhi
Delhi
2.19653-0.355/5

A city qualifies with at least 3 exact-tag reports and 300 total civic reports across complete years 2021–2025.

City-by-city evidence
Normalized #1 · raw-volume #8 · established coverage base

Thane: Online Scam reporting profile

33 tagged reports appeared within 7,439 civic reports in 2021–2025, equal to 44.36 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 33.11 in 2021–2023 versus 65.21 in 2024–2025. The city's peak normalized year was 2025.

Normalized signal
44.36
per 10K civic reports
Tagged coverage
33
5 active years
Recent change
+32.10
per-10K points
Action marker
6.1%
classifier coverage
20212025
Annual evidence
2021 · 9.14/10K (1 reports)2022 · 35.99/10K (6 reports)2023 · 43.46/10K (9 reports)2024 · 41.61/10K (6 reports)2025 · 94.42/10K (11 reports)
Classifier category mix
Corruption Fraud · 33

The classifier marked authority or institutional action in 2 reports (6.1%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Thane's broader civic problems analysis →
Normalized #2 · raw-volume #14 · qualified coverage base

Coimbatore: Online Scam reporting profile

17 tagged reports appeared within 4,339 civic reports in 2021–2025, equal to 39.18 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 40.83 in 2021–2023 versus 36.47 in 2024–2025. The city's peak normalized year was 2023.

Normalized signal
39.18
per 10K civic reports
Tagged coverage
17
4 active years
Recent change
-4.36
per-10K points
Action marker
0.0%
classifier coverage
20212025
Annual evidence
2021 · 16.37/10K (1 reports)2022 · 0.00/10K (0 reports)2023 · 113.51/10K (10 reports)2024 · 18.76/10K (1 reports)2025 · 44.96/10K (5 reports)
Classifier category mix
Corruption Fraud · 17

The classifier marked authority or institutional action in 0 reports (0.0%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Coimbatore's broader civic problems analysis →
Normalized #3 · raw-volume #2 · high coverage base

Pune: Online Scam reporting profile

121 tagged reports appeared within 36,239 civic reports in 2021–2025, equal to 33.39 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 43.38 in 2021–2023 versus 20.01 in 2024–2025. The city's peak normalized year was 2023.

Normalized signal
33.39
per 10K civic reports
Tagged coverage
121
5 active years
Recent change
-23.37
per-10K points
Action marker
5.8%
classifier coverage
20212025
Annual evidence
2021 · 46.09/10K (28 reports)2022 · 24.67/10K (18 reports)2023 · 59.64/10K (44 reports)2024 · 14.79/10K (12 reports)2025 · 25.75/10K (19 reports)
Classifier category mix
Corruption Fraud · 120Public safety · 1

The classifier marked authority or institutional action in 7 reports (5.8%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Pune's broader civic problems analysis →
Normalized #4 · raw-volume #9 · established coverage base

Bhopal: Online Scam reporting profile

31 tagged reports appeared within 16,621 civic reports in 2021–2025, equal to 18.65 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 28.65 in 2021–2023 versus 1.63 in 2024–2025. The city's peak normalized year was 2021.

Normalized signal
18.65
per 10K civic reports
Tagged coverage
31
4 active years
Recent change
-27.02
per-10K points
Action marker
6.5%
classifier coverage
20212025
Annual evidence
2021 · 50.43/10K (14 reports)2022 · 22.28/10K (8 reports)2023 · 19.49/10K (8 reports)2024 · 0.00/10K (0 reports)2025 · 2.81/10K (1 reports)
Classifier category mix
Corruption Fraud · 30Crime & violence · 1

The classifier marked authority or institutional action in 2 reports (6.5%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Bhopal's broader civic problems analysis →
Normalized #5 · raw-volume #13 · qualified coverage base

Nagpur: Online Scam reporting profile

19 tagged reports appeared within 10,447 civic reports in 2021–2025, equal to 18.19 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 20.61 in 2021–2023 versus 13.69 in 2024–2025. The city's peak normalized year was 2024.

Normalized signal
18.19
per 10K civic reports
Tagged coverage
19
5 active years
Recent change
-6.92
per-10K points
Action marker
21.1%
classifier coverage
20212025
Annual evidence
2021 · 24.75/10K (4 reports)2022 · 19.41/10K (5 reports)2023 · 19.22/10K (5 reports)2024 · 25.69/10K (4 reports)2025 · 4.77/10K (1 reports)
Classifier category mix
Corruption Fraud · 19

The classifier marked authority or institutional action in 4 reports (21.1%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Nagpur's broader civic problems analysis →
Normalized #6 · raw-volume #5 · established coverage base

Noida: Online Scam reporting profile

36 tagged reports appeared within 20,361 civic reports in 2021–2025, equal to 17.68 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 12.50 in 2021–2023 versus 25.11 in 2024–2025. The city's peak normalized year was 2025.

Normalized signal
17.68
per 10K civic reports
Tagged coverage
36
5 active years
Recent change
+12.61
per-10K points
Action marker
27.8%
classifier coverage
20212025
Annual evidence
2021 · 18.48/10K (6 reports)2022 · 8.62/10K (4 reports)2023 · 12.16/10K (5 reports)2024 · 17.67/10K (9 reports)2025 · 36.70/10K (12 reports)
Classifier category mix
Corruption Fraud · 35Policing & law enforcement · 1

The classifier marked authority or institutional action in 10 reports (27.8%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Noida's broader civic problems analysis →
Normalized #7 · raw-volume #12 · qualified coverage base

Indore: Online Scam reporting profile

19 tagged reports appeared within 11,332 civic reports in 2021–2025, equal to 16.77 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 12.92 in 2021–2023 versus 22.91 in 2024–2025. The city's peak normalized year was 2024.

Normalized signal
16.77
per 10K civic reports
Tagged coverage
19
5 active years
Recent change
+9.99
per-10K points
Action marker
21.1%
classifier coverage
20212025
Annual evidence
2021 · 6.33/10K (1 reports)2022 · 15.62/10K (4 reports)2023 · 14.15/10K (4 reports)2024 · 27.44/10K (5 reports)2025 · 19.67/10K (5 reports)
Classifier category mix
Corruption Fraud · 18Crime & violence · 1

The classifier marked authority or institutional action in 4 reports (21.1%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Indore's broader civic problems analysis →
Normalized #8 · raw-volume #21 · qualified coverage base

Mysuru: Online Scam reporting profile

7 tagged reports appeared within 4,674 civic reports in 2021–2025, equal to 14.98 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 9.15 in 2021–2023 versus 20.10 in 2024–2025. The city's peak normalized year was 2024.

Normalized signal
14.98
per 10K civic reports
Tagged coverage
7
4 active years
Recent change
+10.95
per-10K points
Action marker
0.0%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 12.80/10K (1 reports)2023 · 11.92/10K (1 reports)2024 · 20.68/10K (3 reports)2025 · 19.29/10K (2 reports)
Classifier category mix
Corruption Fraud · 7

The classifier marked authority or institutional action in 0 reports (0.0%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Mysuru's broader civic problems analysis →
Normalized #9 · raw-volume #6 · established coverage base

Chandigarh: Online Scam reporting profile

33 tagged reports appeared within 22,311 civic reports in 2021–2025, equal to 14.79 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 18.50 in 2021–2023 versus 6.96 in 2024–2025. The city's peak normalized year was 2022.

Normalized signal
14.79
per 10K civic reports
Tagged coverage
33
5 active years
Recent change
-11.54
per-10K points
Action marker
6.1%
classifier coverage
20212025
Annual evidence
2021 · 4.63/10K (2 reports)2022 · 27.68/10K (16 reports)2023 · 19.86/10K (10 reports)2024 · 7.79/10K (3 reports)2025 · 6.01/10K (2 reports)
Classifier category mix
Corruption Fraud · 32Crime & violence · 1

The classifier marked authority or institutional action in 2 reports (6.1%) and conclusion language in 1 (3.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Chandigarh's broader civic problems analysis →
Normalized #10 · raw-volume #7 · established coverage base

Gurugram: Online Scam reporting profile

33 tagged reports appeared within 23,841 civic reports in 2021–2025, equal to 13.84 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 16.47 in 2021–2023 versus 10.13 in 2024–2025. The city's peak normalized year was 2023.

Normalized signal
13.84
per 10K civic reports
Tagged coverage
33
5 active years
Recent change
-6.34
per-10K points
Action marker
15.2%
classifier coverage
20212025
Annual evidence
2021 · 10.92/10K (3 reports)2022 · 8.74/10K (5 reports)2023 · 27.27/10K (15 reports)2024 · 13.57/10K (7 reports)2025 · 6.36/10K (3 reports)
Classifier category mix
Corruption Fraud · 33

The classifier marked authority or institutional action in 5 reports (15.2%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Gurugram's broader civic problems analysis →
Normalized #11 · raw-volume #15 · qualified coverage base

Ludhiana: Online Scam reporting profile

17 tagged reports appeared within 12,851 civic reports in 2021–2025, equal to 13.23 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 12.17 in 2021–2023 versus 16.73 in 2024–2025. The city's peak normalized year was 2024.

Normalized signal
13.23
per 10K civic reports
Tagged coverage
17
4 active years
Recent change
+4.56
per-10K points
Action marker
17.6%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 14.40/10K (6 reports)2023 · 18.51/10K (6 reports)2024 · 28.17/10K (4 reports)2025 · 6.37/10K (1 reports)
Classifier category mix
Corruption Fraud · 17

The classifier marked authority or institutional action in 3 reports (17.6%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Ludhiana's broader civic problems analysis →
Normalized #12 · raw-volume #1 · high coverage base

Mumbai: Online Scam reporting profile

153 tagged reports appeared within 119,517 civic reports in 2021–2025, equal to 12.80 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 14.23 in 2021–2023 versus 10.38 in 2024–2025. The city's peak normalized year was 2022.

Normalized signal
12.80
per 10K civic reports
Tagged coverage
153
5 active years
Recent change
-3.85
per-10K points
Action marker
17.6%
classifier coverage
20212025
Annual evidence
2021 · 11.21/10K (26 reports)2022 · 15.75/10K (45 reports)2023 · 15.37/10K (36 reports)2024 · 10.01/10K (21 reports)2025 · 10.71/10K (25 reports)
Classifier category mix
Corruption Fraud · 153

The classifier marked authority or institutional action in 27 reports (17.6%) and conclusion language in 9 (5.9%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Mumbai's broader civic problems analysis →
Normalized #13 · raw-volume #19 · qualified coverage base

Kochi: Online Scam reporting profile

10 tagged reports appeared within 9,077 civic reports in 2021–2025, equal to 11.02 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 6.40 in 2021–2023 versus 21.25 in 2024–2025. The city's peak normalized year was 2025.

Normalized signal
11.02
per 10K civic reports
Tagged coverage
10
3 active years
Recent change
+14.85
per-10K points
Action marker
0.0%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 7.26/10K (2 reports)2023 · 8.54/10K (2 reports)2024 · 0.00/10K (0 reports)2025 · 36.99/10K (6 reports)
Classifier category mix
Corruption Fraud · 9Policing & law enforcement · 1

The classifier marked authority or institutional action in 0 reports (0.0%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Kochi's broader civic problems analysis →
Normalized #14 · raw-volume #27 · qualified coverage base

Udaipur: Online Scam reporting profile

4 tagged reports appeared within 4,098 civic reports in 2021–2025, equal to 9.76 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 6.90 in 2021–2023 versus 16.68 in 2024–2025. The city's peak normalized year was 2024.

Normalized signal
9.76
per 10K civic reports
Tagged coverage
4
3 active years
Recent change
+9.78
per-10K points
Action marker
75.0%
classifier coverage
20212025
Annual evidence
2021 · 26.04/10K (1 reports)2022 · 4.82/10K (1 reports)2023 · 0.00/10K (0 reports)2024 · 35.21/10K (2 reports)2025 · 0.00/10K (0 reports)
Classifier category mix
Crime & violence · 3Corruption Fraud · 1

The classifier marked authority or institutional action in 3 reports (75.0%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Udaipur's broader civic problems analysis →
Normalized #15 · raw-volume #10 · established coverage base

Chennai: Online Scam reporting profile

27 tagged reports appeared within 27,784 civic reports in 2021–2025, equal to 9.72 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 5.25 in 2021–2023 versus 15.15 in 2024–2025. The city's peak normalized year was 2025.

Normalized signal
9.72
per 10K civic reports
Tagged coverage
27
4 active years
Recent change
+9.90
per-10K points
Action marker
55.6%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 6.31/10K (3 reports)2023 · 6.67/10K (5 reports)2024 · 10.00/10K (6 reports)2025 · 19.87/10K (13 reports)
Classifier category mix
Corruption Fraud · 26Crime & violence · 1

The classifier marked authority or institutional action in 15 reports (55.6%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Chennai's broader civic problems analysis →
Normalized #16 · raw-volume #4 · established coverage base

Bengaluru: Online Scam reporting profile

52 tagged reports appeared within 58,199 civic reports in 2021–2025, equal to 8.93 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 5.39 in 2021–2023 versus 12.63 in 2024–2025. The city's peak normalized year was 2024.

Normalized signal
8.93
per 10K civic reports
Tagged coverage
52
5 active years
Recent change
+7.24
per-10K points
Action marker
11.5%
classifier coverage
20212025
Annual evidence
2021 · 6.35/10K (4 reports)2022 · 3.71/10K (4 reports)2023 · 6.35/10K (8 reports)2024 · 14.24/10K (19 reports)2025 · 11.21/10K (17 reports)
Classifier category mix
Corruption Fraud · 51Crime & violence · 1

The classifier marked authority or institutional action in 6 reports (11.5%) and conclusion language in 2 (3.8%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Bengaluru's broader civic problems analysis →
Normalized #17 · raw-volume #17 · qualified coverage base

Thiruvananthapuram: Online Scam reporting profile

13 tagged reports appeared within 14,806 civic reports in 2021–2025, equal to 8.78 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 5.19 in 2021–2023 versus 15.46 in 2024–2025. The city's peak normalized year was 2025.

Normalized signal
8.78
per 10K civic reports
Tagged coverage
13
5 active years
Recent change
+10.27
per-10K points
Action marker
0.0%
classifier coverage
20212025
Annual evidence
2021 · 4.17/10K (1 reports)2022 · 4.94/10K (2 reports)2023 · 6.29/10K (2 reports)2024 · 15.26/10K (4 reports)2025 · 15.67/10K (4 reports)
Classifier category mix
Corruption Fraud · 13

The classifier marked authority or institutional action in 0 reports (0.0%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Thiruvananthapuram's broader civic problems analysis →
Normalized #18 · raw-volume #31 · qualified coverage base

Nashik: Online Scam reporting profile

3 tagged reports appeared within 3,489 civic reports in 2021–2025, equal to 8.60 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 11.63 in 2021–2023 versus 0.00 in 2024–2025. The city's peak normalized year was 2023.

Normalized signal
8.60
per 10K civic reports
Tagged coverage
3
2 active years
Recent change
-11.63
per-10K points
Action marker
0.0%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 9.64/10K (1 reports)2023 · 20.45/10K (2 reports)2024 · 0.00/10K (0 reports)2025 · 0.00/10K (0 reports)
Classifier category mix
Corruption Fraud · 3

The classifier marked authority or institutional action in 0 reports (0.0%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Nashik's broader civic problems analysis →
Normalized #19 · raw-volume #20 · qualified coverage base

Dehradun: Online Scam reporting profile

7 tagged reports appeared within 9,750 civic reports in 2021–2025, equal to 7.18 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 5.69 in 2021–2023 versus 8.94 in 2024–2025. The city's peak normalized year was 2021.

Normalized signal
7.18
per 10K civic reports
Tagged coverage
7
4 active years
Recent change
+3.25
per-10K points
Action marker
28.6%
classifier coverage
20212025
Annual evidence
2021 · 12.75/10K (2 reports)2022 · 5.32/10K (1 reports)2023 · 0.00/10K (0 reports)2024 · 12.66/10K (3 reports)2025 · 4.75/10K (1 reports)
Classifier category mix
Corruption Fraud · 7

The classifier marked authority or institutional action in 2 reports (28.6%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Dehradun's broader civic problems analysis →
Normalized #20 · raw-volume #32 · qualified coverage base

Surat: Online Scam reporting profile

3 tagged reports appeared within 4,191 civic reports in 2021–2025, equal to 7.16 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 10.67 in 2021–2023 versus 0.00 in 2024–2025. The city's peak normalized year was 2021.

Normalized signal
7.16
per 10K civic reports
Tagged coverage
3
2 active years
Recent change
-10.67
per-10K points
Action marker
0.0%
classifier coverage
20212025
Annual evidence
2021 · 16.42/10K (1 reports)2022 · 0.00/10K (0 reports)2023 · 14.64/10K (2 reports)2024 · 0.00/10K (0 reports)2025 · 0.00/10K (0 reports)
Classifier category mix
Corruption Fraud · 3

The classifier marked authority or institutional action in 0 reports (0.0%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Surat's broader civic problems analysis →
Normalized #21 · raw-volume #18 · qualified coverage base

Ghaziabad: Online Scam reporting profile

11 tagged reports appeared within 17,010 civic reports in 2021–2025, equal to 6.47 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 4.04 in 2021–2023 versus 9.86 in 2024–2025. The city's peak normalized year was 2024.

Normalized signal
6.47
per 10K civic reports
Tagged coverage
11
4 active years
Recent change
+5.82
per-10K points
Action marker
18.2%
classifier coverage
20212025
Annual evidence
2021 · 3.01/10K (1 reports)2022 · 0.00/10K (0 reports)2023 · 9.62/10K (3 reports)2024 · 12.37/10K (5 reports)2025 · 6.54/10K (2 reports)
Classifier category mix
Corruption Fraud · 11

The classifier marked authority or institutional action in 2 reports (18.2%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Ghaziabad's broader civic problems analysis →
Normalized #22 · raw-volume #11 · established coverage base

Lucknow: Online Scam reporting profile

21 tagged reports appeared within 35,340 civic reports in 2021–2025, equal to 5.94 per 10,000. The recent-period comparison shows a broadly stable share of local civic coverage: 6.09 in 2021–2023 versus 5.71 in 2024–2025. The city's peak normalized year was 2023.

Normalized signal
5.94
per 10K civic reports
Tagged coverage
21
5 active years
Recent change
-0.38
per-10K points
Action marker
0.0%
classifier coverage
20212025
Annual evidence
2021 · 6.00/10K (4 reports)2022 · 2.48/10K (2 reports)2023 · 10.61/10K (7 reports)2024 · 6.56/10K (5 reports)2025 · 4.69/10K (3 reports)
Classifier category mix
Corruption Fraud · 21

The classifier marked authority or institutional action in 0 reports (0.0%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Lucknow's broader civic problems analysis →
Normalized #23 · raw-volume #16 · qualified coverage base

Kolkata: Online Scam reporting profile

15 tagged reports appeared within 31,282 civic reports in 2021–2025, equal to 4.80 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 7.60 in 2021–2023 versus 1.94 in 2024–2025. The city's peak normalized year was 2023.

Normalized signal
4.80
per 10K civic reports
Tagged coverage
15
5 active years
Recent change
-5.66
per-10K points
Action marker
20.0%
classifier coverage
20212025
Annual evidence
2021 · 2.53/10K (1 reports)2022 · 7.77/10K (5 reports)2023 · 11.11/10K (6 reports)2024 · 0.97/10K (1 reports)2025 · 3.88/10K (2 reports)
Classifier category mix
Corruption Fraud · 15

The classifier marked authority or institutional action in 3 reports (20.0%) and conclusion language in 1 (6.7%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Kolkata's broader civic problems analysis →
Normalized #24 · raw-volume #30 · qualified coverage base

Kanpur: Online Scam reporting profile

3 tagged reports appeared within 7,407 civic reports in 2021–2025, equal to 4.05 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 2.24 in 2021–2023 versus 6.79 in 2024–2025. The city's peak normalized year was 2025.

Normalized signal
4.05
per 10K civic reports
Tagged coverage
3
3 active years
Recent change
+4.55
per-10K points
Action marker
33.3%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 5.06/10K (1 reports)2023 · 0.00/10K (0 reports)2024 · 5.85/10K (1 reports)2025 · 8.08/10K (1 reports)
Classifier category mix
Corruption Fraud · 3

The classifier marked authority or institutional action in 1 reports (33.3%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Kanpur's broader civic problems analysis →
Normalized #25 · raw-volume #25 · qualified coverage base

Meerut: Online Scam reporting profile

4 tagged reports appeared within 10,393 civic reports in 2021–2025, equal to 3.85 per 10,000. The recent-period comparison shows a broadly stable share of local civic coverage: 3.49 in 2021–2023 versus 4.28 in 2024–2025. The city's peak normalized year was 2023.

Normalized signal
3.85
per 10K civic reports
Tagged coverage
4
4 active years
Recent change
+0.79
per-10K points
Action marker
0.0%
classifier coverage
20212025
Annual evidence
2021 · 4.29/10K (1 reports)2022 · 0.00/10K (0 reports)2023 · 6.54/10K (1 reports)2024 · 3.88/10K (1 reports)2025 · 4.78/10K (1 reports)
Classifier category mix
Corruption Fraud · 4

The classifier marked authority or institutional action in 0 reports (0.0%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Meerut's broader civic problems analysis →
Normalized #26 · raw-volume #29 · qualified coverage base

Bareilly: Online Scam reporting profile

3 tagged reports appeared within 8,318 civic reports in 2021–2025, equal to 3.61 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 4.63 in 2021–2023 versus 2.50 in 2024–2025. The city's peak normalized year was 2022.

Normalized signal
3.61
per 10K civic reports
Tagged coverage
3
3 active years
Recent change
-2.13
per-10K points
Action marker
33.3%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 7.70/10K (1 reports)2023 · 6.45/10K (1 reports)2024 · 4.65/10K (1 reports)2025 · 0.00/10K (0 reports)
Classifier category mix
Corruption Fraud · 2Crime & violence · 1

The classifier marked authority or institutional action in 1 reports (33.3%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Bareilly's broader civic problems analysis →
Normalized #27 · raw-volume #22 · qualified coverage base

Jaipur: Online Scam reporting profile

5 tagged reports appeared within 16,200 civic reports in 2021–2025, equal to 3.09 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 0.97 in 2021–2023 versus 6.77 in 2024–2025. The city's peak normalized year was 2024.

Normalized signal
3.09
per 10K civic reports
Tagged coverage
5
3 active years
Recent change
+5.80
per-10K points
Action marker
40.0%
classifier coverage
20212025
Annual evidence
2021 · 3.68/10K (1 reports)2022 · 0.00/10K (0 reports)2023 · 0.00/10K (0 reports)2024 · 7.70/10K (2 reports)2025 · 6.04/10K (2 reports)
Classifier category mix
Corruption Fraud · 4Crime & violence · 1

The classifier marked authority or institutional action in 2 reports (40.0%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Jaipur's broader civic problems analysis →
Normalized #28 · raw-volume #23 · qualified coverage base

Prayagraj: Online Scam reporting profile

5 tagged reports appeared within 16,169 civic reports in 2021–2025, equal to 3.09 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 2.42 in 2021–2023 versus 3.80 in 2024–2025. The city's peak normalized year was 2021.

Normalized signal
3.09
per 10K civic reports
Tagged coverage
5
4 active years
Recent change
+1.38
per-10K points
Action marker
20.0%
classifier coverage
20212025
Annual evidence
2021 · 6.41/10K (1 reports)2022 · 4.24/10K (1 reports)2023 · 0.00/10K (0 reports)2024 · 2.40/10K (1 reports)2025 · 5.37/10K (2 reports)
Classifier category mix
Corruption Fraud · 5

The classifier marked authority or institutional action in 1 reports (20.0%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Prayagraj's broader civic problems analysis →
Normalized #29 · raw-volume #28 · qualified coverage base

Agra: Online Scam reporting profile

3 tagged reports appeared within 10,412 civic reports in 2021–2025, equal to 2.88 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 1.60 in 2021–2023 versus 4.81 in 2024–2025. The city's peak normalized year was 2024.

Normalized signal
2.88
per 10K civic reports
Tagged coverage
3
2 active years
Recent change
+3.21
per-10K points
Action marker
33.3%
classifier coverage
20212025
Annual evidence
2021 · 4.41/10K (1 reports)2022 · 0.00/10K (0 reports)2023 · 0.00/10K (0 reports)2024 · 8.38/10K (2 reports)2025 · 0.00/10K (0 reports)
Classifier category mix
Corruption Fraud · 2Crime & violence · 1

The classifier marked authority or institutional action in 1 reports (33.3%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Agra's broader civic problems analysis →
Normalized #30 · raw-volume #26 · qualified coverage base

Srinagar: Online Scam reporting profile

4 tagged reports appeared within 14,562 civic reports in 2021–2025, equal to 2.75 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 3.45 in 2021–2023 versus 1.70 in 2024–2025. The city's peak normalized year was 2022.

Normalized signal
2.75
per 10K civic reports
Tagged coverage
4
2 active years
Recent change
-1.75
per-10K points
Action marker
25.0%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 9.22/10K (3 reports)2023 · 0.00/10K (0 reports)2024 · 0.00/10K (0 reports)2025 · 3.03/10K (1 reports)
Classifier category mix
Corruption Fraud · 4

The classifier marked authority or institutional action in 1 reports (25.0%) and conclusion language in 1 (25.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Srinagar's broader civic problems analysis →
Normalized #31 · raw-volume #24 · qualified coverage base

Bhubaneswar: Online Scam reporting profile

4 tagged reports appeared within 17,398 civic reports in 2021–2025, equal to 2.30 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 3.10 in 2021–2023 versus 1.30 in 2024–2025. The city's peak normalized year was 2021.

Normalized signal
2.30
per 10K civic reports
Tagged coverage
4
4 active years
Recent change
-1.80
per-10K points
Action marker
0.0%
classifier coverage
20212025
Annual evidence
2021 · 3.60/10K (1 reports)2022 · 2.91/10K (1 reports)2023 · 2.89/10K (1 reports)2024 · 0.00/10K (0 reports)2025 · 2.49/10K (1 reports)
Classifier category mix
Corruption Fraud · 4

The classifier marked authority or institutional action in 0 reports (0.0%) and conclusion language in 0 (0.0%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open Bhubaneswar's broader civic problems analysis →
Normalized #32 · raw-volume #3 · established coverage base

New Delhi: Online Scam reporting profile

65 tagged reports appeared within 297,207 civic reports in 2021–2025, equal to 2.19 per 10,000. The recent-period comparison shows a broadly stable share of local civic coverage: 2.32 in 2021–2023 versus 1.97 in 2024–2025. The city's peak normalized year was 2023.

Normalized signal
2.19
per 10K civic reports
Tagged coverage
65
5 active years
Recent change
-0.35
per-10K points
Action marker
43.1%
classifier coverage
20212025
Annual evidence
2021 · 2.21/10K (10 reports)2022 · 1.54/10K (10 reports)2023 · 3.12/10K (22 reports)2024 · 1.79/10K (11 reports)2025 · 2.18/10K (12 reports)
Classifier category mix
Corruption Fraud · 60Crime & violence · 5

The classifier marked authority or institutional action in 28 reports (43.1%) and conclusion language in 1 (1.5%). These are article-level signals: repeated coverage can refer to the same underlying event, and the markers do not prove official resolution.

Open New Delhi's broader civic problems analysis →
National trend and methodology
All 45 cities

Annual normalized signal

20212025
2021 · 7.70/10K (120)2022 · 7.26/10K (158)2023 · 9.98/10K (216)2024 · 6.93/10K (142)2025 · 8.17/10K (158)

Annual values use all covered cities, including cities that do not pass the page-level ranking gate.

Transparent limits

How Prism Geo built this ranking

  • Universe: 45 Indian cities with an existing Prism Geo city manifest; conservative legacy names such as Bangalore/Bengaluru are merged.
  • Window: complete calendar years 2021–2025. Partial 2026 data is excluded.
  • Signal: the exact source tag online_scam; topic variants are not silently combined.
  • Score: tagged reports ÷ all civic reports × 10,000; raw volume is shown alongside it.
  • Coverage, action, and conclusion figures are classifier outputs. Multiple reports can concern one event, and absence of coverage is not absence of a problem.

Source: marketai.civic_geo_agg. This dataset supports comparison of reporting patterns only; it cannot establish actual case counts, risk, prevalence, or official performance.

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