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

Which Indian cities show the strongest land scam reporting signal?

A comparison of 45 Indian cities covered by Prism Geo. 32 pass the evidence gates and are ranked by exact land_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 land 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 land 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. #16 Indore — Indore district proxy — 7.06 tagged reports per 10,000 civic reports#10 Gwalior — Gwalior district proxy — 9.91 tagged reports per 10,000 civic reports#19 Bhopal — Bhopal district proxy — 6.62 tagged reports per 10,000 civic reports#27 Srinagar — Srinagar district proxy — 3.43 tagged reports per 10,000 civic reports#2 Surat — Surat district proxy — 16.70 tagged reports per 10,000 civic reports#4 Visakhapatnam — Visakhapatnam district proxy — 13.52 tagged reports per 10,000 civic reports#12 Patna — Patna district proxy — 8.79 tagged reports per 10,000 civic reports#9 Gurugram — Gurgaon district proxy — 10.07 tagged reports per 10,000 civic reports#31 Chandigarh — Chandigarh district proxy — 1.79 tagged reports per 10,000 civic reports#8 Dehradun — Dehradun district proxy — 10.26 tagged reports per 10,000 civic reports#32 Kolkata — Kolkata district proxy — 1.60 tagged reports per 10,000 civic reports#20 Amritsar — Amritsar district proxy — 6.13 tagged reports per 10,000 civic reports#25 Ludhiana — Ludhiana district proxy — 4.67 tagged reports per 10,000 civic reports#1 Mysuru — Mysore district proxy — 136.93 tagged reports per 10,000 civic reports#26 Bengaluru — Bangalore district proxy — 3.44 tagged reports per 10,000 civic reports#5 Pune — Pune district proxy — 12.42 tagged reports per 10,000 civic reports#24 Mumbai — Mumbai Suburban district proxy — 4.94 tagged reports per 10,000 civic reports#13 Nagpur — Nagpur district proxy — 8.61 tagged reports per 10,000 civic reports#17 Bhubaneswar — Khordha district proxy — 6.90 tagged reports per 10,000 civic reports#28 Jaipur — Jaipur district proxy — 3.09 tagged reports per 10,000 civic reports#3 Moradabad — Moradabad district proxy — 13.67 tagged reports per 10,000 civic reports#21 Meerut — Meerut district proxy — 5.77 tagged reports per 10,000 civic reports#15 Bareilly — Bareilly district proxy — 8.42 tagged reports per 10,000 civic reports#22 Mathura — Mathura district proxy — 5.57 tagged reports per 10,000 civic reports#14 Lucknow — Lucknow district proxy — 8.49 tagged reports per 10,000 civic reports#11 Kanpur — Kanpur Nagar district proxy — 9.45 tagged reports per 10,000 civic reports#29 Varanasi — Varanasi district proxy — 2.87 tagged reports per 10,000 civic reports#6 Ghaziabad — Ghaziabad district proxy — 10.58 tagged reports per 10,000 civic reports#7 Noida — Gautam Buddha Nagar district proxy — 10.31 tagged reports per 10,000 civic reports#18 Agra — Agra district proxy — 6.72 tagged reports per 10,000 civic reports#23 Prayagraj — Allahabad district proxy — 4.95 tagged reports per 10,000 civic reports#30 New Delhi — Central district proxy — 1.99 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

Mysuru leads the normalized comparison at 136.93 tagged reports per 10,000 civic reports. Mysuru leads raw volume with 64 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
Mysuru
136.93 per 10K
Raw-volume leader
Mysuru
64 tagged reports
Largest recent rise
Mysuru
+240.05 per-10K points
National comparison
+2.78
recent per-10K change
Computed findings
What stands out
Complete ranking
Primary and companion measures

Land 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
1Mysuru
Karnataka
136.93641+240.054/5
2Surat
Gujarat
16.70720+7.513/5
3Moradabad
Uttar Pradesh
13.67525+2.123/5
4Visakhapatnam
Andhra Pradesh
13.52527+10.013/5
5Pune
Maharashtra
12.42454+5.375/5
6Ghaziabad
Uttar Pradesh
10.581810-3.664/5
7Noida
Uttar Pradesh
10.31218+12.944/5
8Dehradun
Uttarakhand
10.261013+9.954/5
9Gurugram
Haryana
10.07246+0.115/5
10Gwalior
Madhya Pradesh
9.91430-6.823/5
11Kanpur
Uttar Pradesh
9.45719+6.845/5
12Patna
Bihar
8.79237-1.854/5
13Nagpur
Maharashtra
8.61914-9.043/5
14Lucknow
Uttar Pradesh
8.49305+10.775/5
15Bareilly
Uttar Pradesh
8.42718+3.074/5
16Indore
Madhya Pradesh
7.06815-7.764/5
17Bhubaneswar
Odisha
6.901211-3.084/5
18Agra
Uttar Pradesh
6.72717+12.843/5
19Bhopal
Madhya Pradesh
6.621112+7.564/5
20Amritsar
Punjab
6.13428-10.231/5
21Meerut
Uttar Pradesh
5.77622+8.963/5
22Mathura
Uttar Pradesh
5.57332-8.642/5
23Prayagraj
Uttar Pradesh
4.95816+5.183/5
24Mumbai
Maharashtra
4.94592-1.034/5
25Ludhiana
Punjab
4.67621-6.083/5
26Bengaluru
Karnataka
3.44209+3.585/5
27Srinagar
Jammu and Kashmir
3.43526-0.044/5
28Jaipur
Rajasthan
3.09523+0.463/5
29Varanasi
Uttar Pradesh
2.87431+4.432/5
30New Delhi
Delhi
1.99593-0.305/5
31Chandigarh
Chandigarh
1.79429-2.643/5
32Kolkata
West Bengal
1.60524+0.673/5

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 #1 · established coverage base

Mysuru: Land Scam reporting profile

64 tagged reports appeared within 4,674 civic reports in 2021–2025, equal to 136.93 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 9.15 in 2021–2023 versus 249.20 in 2024–2025. The city's peak normalized year was 2024.

Normalized signal
136.93
per 10K civic reports
Tagged coverage
64
4 active years
Recent change
+240.05
per-10K points
Action marker
4.7%
classifier coverage
20212025
Annual evidence
2021 · 17.67/10K (1 reports)2022 · 12.80/10K (1 reports)2023 · 0.00/10K (0 reports)2024 · 289.46/10K (42 reports)2025 · 192.86/10K (20 reports)
Classifier category mix
Governance & policy · 33Corruption Fraud · 31

The classifier marked authority or institutional action in 3 reports (4.7%) and conclusion language in 2 (3.1%). 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 #2 · raw-volume #20 · qualified coverage base

Surat: Land Scam reporting profile

7 tagged reports appeared within 4,191 civic reports in 2021–2025, equal to 16.70 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 14.23 in 2021–2023 versus 21.74 in 2024–2025. The city's peak normalized year was 2024.

Normalized signal
16.70
per 10K civic reports
Tagged coverage
7
3 active years
Recent change
+7.51
per-10K points
Action marker
0.0%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 23.92/10K (2 reports)2023 · 14.64/10K (2 reports)2024 · 44.78/10K (3 reports)2025 · 0.00/10K (0 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 Surat's broader civic problems analysis →
Normalized #3 · raw-volume #25 · qualified coverage base

Moradabad: Land Scam reporting profile

5 tagged reports appeared within 3,657 civic reports in 2021–2025, equal to 13.67 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 12.48 in 2021–2023 versus 14.60 in 2024–2025. The city's peak normalized year was 2021.

Normalized signal
13.67
per 10K civic reports
Tagged coverage
5
3 active years
Recent change
+2.12
per-10K points
Action marker
0.0%
classifier coverage
20212025
Annual evidence
2021 · 33.84/10K (2 reports)2022 · 0.00/10K (0 reports)2023 · 0.00/10K (0 reports)2024 · 16.98/10K (2 reports)2025 · 11.40/10K (1 reports)
Classifier category mix
Corruption Fraud · 5

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 Moradabad's broader civic problems analysis →
Normalized #4 · raw-volume #27 · qualified coverage base

Visakhapatnam: Land Scam reporting profile

5 tagged reports appeared within 3,699 civic reports in 2021–2025, equal to 13.52 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 9.32 in 2021–2023 versus 19.33 in 2024–2025. The city's peak normalized year was 2024.

Normalized signal
13.52
per 10K civic reports
Tagged coverage
5
3 active years
Recent change
+10.01
per-10K points
Action marker
0.0%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 14.53/10K (1 reports)2023 · 8.94/10K (1 reports)2024 · 44.31/10K (3 reports)2025 · 0.00/10K (0 reports)
Classifier category mix
Corruption Fraud · 4Governance & policy · 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 Visakhapatnam's broader civic problems analysis →
Normalized #5 · raw-volume #4 · established coverage base

Pune: Land Scam reporting profile

45 tagged reports appeared within 36,239 civic reports in 2021–2025, equal to 12.42 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 10.12 in 2021–2023 versus 15.49 in 2024–2025. The city's peak normalized year was 2025.

Normalized signal
12.42
per 10K civic reports
Tagged coverage
45
5 active years
Recent change
+5.37
per-10K points
Action marker
4.4%
classifier coverage
20212025
Annual evidence
2021 · 13.17/10K (8 reports)2022 · 5.48/10K (4 reports)2023 · 12.20/10K (9 reports)2024 · 3.70/10K (3 reports)2025 · 28.46/10K (21 reports)
Classifier category mix
Corruption Fraud · 44Governance & policy · 1

The classifier marked authority or institutional action in 2 reports (4.4%) 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 #6 · raw-volume #10 · qualified coverage base

Ghaziabad: Land Scam reporting profile

18 tagged reports appeared within 17,010 civic reports in 2021–2025, equal to 10.58 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 12.11 in 2021–2023 versus 8.45 in 2024–2025. The city's peak normalized year was 2021.

Normalized signal
10.58
per 10K civic reports
Tagged coverage
18
4 active years
Recent change
-3.66
per-10K points
Action marker
22.2%
classifier coverage
20212025
Annual evidence
2021 · 21.06/10K (7 reports)2022 · 8.66/10K (3 reports)2023 · 6.41/10K (2 reports)2024 · 14.84/10K (6 reports)2025 · 0.00/10K (0 reports)
Classifier category mix
Corruption Fraud · 16Protest Civil Unrest · 1Governance & policy · 1

The classifier marked authority or institutional action in 4 reports (22.2%) and conclusion language in 1 (5.6%). 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 #7 · raw-volume #8 · established coverage base

Noida: Land Scam reporting profile

21 tagged reports appeared within 20,361 civic reports in 2021–2025, equal to 10.31 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 5.00 in 2021–2023 versus 17.94 in 2024–2025. The city's peak normalized year was 2025.

Normalized signal
10.31
per 10K civic reports
Tagged coverage
21
4 active years
Recent change
+12.94
per-10K points
Action marker
47.6%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 10.78/10K (5 reports)2023 · 2.43/10K (1 reports)2024 · 17.67/10K (9 reports)2025 · 18.35/10K (6 reports)
Classifier category mix
Corruption Fraud · 21

The classifier marked authority or institutional action in 10 reports (47.6%) 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 Noida's broader civic problems analysis →
Normalized #8 · raw-volume #13 · qualified coverage base

Dehradun: Land Scam reporting profile

10 tagged reports appeared within 9,750 civic reports in 2021–2025, equal to 10.26 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 5.69 in 2021–2023 versus 15.64 in 2024–2025. The city's peak normalized year was 2025.

Normalized signal
10.26
per 10K civic reports
Tagged coverage
10
4 active years
Recent change
+9.95
per-10K points
Action marker
30.0%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 10.65/10K (2 reports)2023 · 5.47/10K (1 reports)2024 · 12.66/10K (3 reports)2025 · 18.99/10K (4 reports)
Classifier category mix
Corruption Fraud · 8Governance & policy · 2

The classifier marked authority or institutional action in 3 reports (30.0%) 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 Dehradun's broader civic problems analysis →
Normalized #9 · raw-volume #6 · established coverage base

Gurugram: Land Scam reporting profile

24 tagged reports appeared within 23,841 civic reports in 2021–2025, equal to 10.07 per 10,000. The recent-period comparison shows a broadly stable share of local civic coverage: 10.02 in 2021–2023 versus 10.13 in 2024–2025. The city's peak normalized year was 2025.

Normalized signal
10.07
per 10K civic reports
Tagged coverage
24
5 active years
Recent change
+0.11
per-10K points
Action marker
20.8%
classifier coverage
20212025
Annual evidence
2021 · 10.92/10K (3 reports)2022 · 10.48/10K (6 reports)2023 · 9.09/10K (5 reports)2024 · 5.82/10K (3 reports)2025 · 14.85/10K (7 reports)
Classifier category mix
Corruption Fraud · 23Governance & policy · 1

The classifier marked authority or institutional action in 5 reports (20.8%) 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 Gurugram's broader civic problems analysis →
Normalized #10 · raw-volume #30 · qualified coverage base

Gwalior: Land Scam reporting profile

4 tagged reports appeared within 4,035 civic reports in 2021–2025, equal to 9.91 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 12.76 in 2021–2023 versus 5.94 in 2024–2025. The city's peak normalized year was 2021.

Normalized signal
9.91
per 10K civic reports
Tagged coverage
4
3 active years
Recent change
-6.82
per-10K points
Action marker
0.0%
classifier coverage
20212025
Annual evidence
2021 · 30.44/10K (2 reports)2022 · 14.10/10K (1 reports)2023 · 0.00/10K (0 reports)2024 · 12.52/10K (1 reports)2025 · 0.00/10K (0 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 Gwalior's broader civic problems analysis →
Normalized #11 · raw-volume #19 · qualified coverage base

Kanpur: Land Scam reporting profile

7 tagged reports appeared within 7,407 civic reports in 2021–2025, equal to 9.45 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 6.73 in 2021–2023 versus 13.57 in 2024–2025. The city's peak normalized year was 2025.

Normalized signal
9.45
per 10K civic reports
Tagged coverage
7
5 active years
Recent change
+6.84
per-10K points
Action marker
14.3%
classifier coverage
20212025
Annual evidence
2021 · 9.27/10K (1 reports)2022 · 5.06/10K (1 reports)2023 · 7.12/10K (1 reports)2024 · 11.70/10K (2 reports)2025 · 16.16/10K (2 reports)
Classifier category mix
Corruption Fraud · 7

The classifier marked authority or institutional action in 1 reports (14.3%) 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 #12 · raw-volume #7 · established coverage base

Patna: Land Scam reporting profile

23 tagged reports appeared within 26,153 civic reports in 2021–2025, equal to 8.79 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 9.61 in 2021–2023 versus 7.76 in 2024–2025. The city's peak normalized year was 2023.

Normalized signal
8.79
per 10K civic reports
Tagged coverage
23
4 active years
Recent change
-1.85
per-10K points
Action marker
13.0%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 7.44/10K (4 reports)2023 · 20.81/10K (10 reports)2024 · 7.02/10K (4 reports)2025 · 8.49/10K (5 reports)
Classifier category mix
Corruption Fraud · 23

The classifier marked authority or institutional action in 3 reports (13.0%) 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 Patna's broader civic problems analysis →
Normalized #13 · raw-volume #14 · qualified coverage base

Nagpur: Land Scam reporting profile

9 tagged reports appeared within 10,447 civic reports in 2021–2025, equal to 8.61 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 11.78 in 2021–2023 versus 2.74 in 2024–2025. The city's peak normalized year was 2023.

Normalized signal
8.61
per 10K civic reports
Tagged coverage
9
3 active years
Recent change
-9.04
per-10K points
Action marker
0.0%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 7.76/10K (2 reports)2023 · 23.06/10K (6 reports)2024 · 0.00/10K (0 reports)2025 · 4.77/10K (1 reports)
Classifier category mix
Corruption Fraud · 8Governance & policy · 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 Nagpur's broader civic problems analysis →
Normalized #14 · raw-volume #5 · established coverage base

Lucknow: Land Scam reporting profile

30 tagged reports appeared within 35,340 civic reports in 2021–2025, equal to 8.49 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 4.22 in 2021–2023 versus 14.99 in 2024–2025. The city's peak normalized year was 2024.

Normalized signal
8.49
per 10K civic reports
Tagged coverage
30
5 active years
Recent change
+10.77
per-10K points
Action marker
13.3%
classifier coverage
20212025
Annual evidence
2021 · 3.00/10K (2 reports)2022 · 7.44/10K (6 reports)2023 · 1.52/10K (1 reports)2024 · 17.06/10K (13 reports)2025 · 12.52/10K (8 reports)
Classifier category mix
Corruption Fraud · 30

The classifier marked authority or institutional action in 4 reports (13.3%) 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 Lucknow's broader civic problems analysis →
Normalized #15 · raw-volume #18 · qualified coverage base

Bareilly: Land Scam reporting profile

7 tagged reports appeared within 8,318 civic reports in 2021–2025, equal to 8.42 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 6.94 in 2021–2023 versus 10.01 in 2024–2025. The city's peak normalized year was 2025.

Normalized signal
8.42
per 10K civic reports
Tagged coverage
7
4 active years
Recent change
+3.07
per-10K points
Action marker
14.3%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 7.70/10K (1 reports)2023 · 12.90/10K (2 reports)2024 · 4.65/10K (1 reports)2025 · 16.25/10K (3 reports)
Classifier category mix
Corruption Fraud · 7

The classifier marked authority or institutional action in 1 reports (14.3%) 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 #16 · raw-volume #15 · qualified coverage base

Indore: Land Scam reporting profile

8 tagged reports appeared within 11,332 civic reports in 2021–2025, equal to 7.06 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 10.05 in 2021–2023 versus 2.29 in 2024–2025. The city's peak normalized year was 2021.

Normalized signal
7.06
per 10K civic reports
Tagged coverage
8
4 active years
Recent change
-7.76
per-10K points
Action marker
12.5%
classifier coverage
20212025
Annual evidence
2021 · 18.99/10K (3 reports)2022 · 7.81/10K (2 reports)2023 · 7.07/10K (2 reports)2024 · 5.49/10K (1 reports)2025 · 0.00/10K (0 reports)
Classifier category mix
Corruption Fraud · 7Governance & policy · 1

The classifier marked authority or institutional action in 1 reports (12.5%) 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 Indore's broader civic problems analysis →
Normalized #17 · raw-volume #11 · qualified coverage base

Bhubaneswar: Land Scam reporting profile

12 tagged reports appeared within 17,398 civic reports in 2021–2025, equal to 6.90 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 8.26 in 2021–2023 versus 5.18 in 2024–2025. The city's peak normalized year was 2023.

Normalized signal
6.90
per 10K civic reports
Tagged coverage
12
4 active years
Recent change
-3.08
per-10K points
Action marker
50.0%
classifier coverage
20212025
Annual evidence
2021 · 3.60/10K (1 reports)2022 · 0.00/10K (0 reports)2023 · 20.20/10K (7 reports)2024 · 5.40/10K (2 reports)2025 · 4.99/10K (2 reports)
Classifier category mix
Corruption Fraud · 11Governance & policy · 1

The classifier marked authority or institutional action in 6 reports (50.0%) 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 #18 · raw-volume #17 · qualified coverage base

Agra: Land Scam reporting profile

7 tagged reports appeared within 10,412 civic reports in 2021–2025, equal to 6.72 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 1.60 in 2021–2023 versus 14.44 in 2024–2025. The city's peak normalized year was 2024.

Normalized signal
6.72
per 10K civic reports
Tagged coverage
7
3 active years
Recent change
+12.84
per-10K points
Action marker
0.0%
classifier coverage
20212025
Annual evidence
2021 · 4.41/10K (1 reports)2022 · 0.00/10K (0 reports)2023 · 0.00/10K (0 reports)2024 · 16.75/10K (4 reports)2025 · 11.31/10K (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 Agra's broader civic problems analysis →
Normalized #19 · raw-volume #12 · qualified coverage base

Bhopal: Land Scam reporting profile

11 tagged reports appeared within 16,621 civic reports in 2021–2025, equal to 6.62 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 3.82 in 2021–2023 versus 11.38 in 2024–2025. The city's peak normalized year was 2025.

Normalized signal
6.62
per 10K civic reports
Tagged coverage
11
4 active years
Recent change
+7.56
per-10K points
Action marker
0.0%
classifier coverage
20212025
Annual evidence
2021 · 10.81/10K (3 reports)2022 · 0.00/10K (0 reports)2023 · 2.44/10K (1 reports)2024 · 7.72/10K (2 reports)2025 · 14.06/10K (5 reports)
Classifier category mix
Corruption Fraud · 11

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 Bhopal's broader civic problems analysis →
Normalized #20 · raw-volume #28 · qualified coverage base

Amritsar: Land Scam reporting profile

4 tagged reports appeared within 6,520 civic reports in 2021–2025, equal to 6.13 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 10.23 in 2021–2023 versus 0.00 in 2024–2025. The city's peak normalized year was 2022.

Normalized signal
6.13
per 10K civic reports
Tagged coverage
4
1 active years
Recent change
-10.23
per-10K points
Action marker
0.0%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 27.49/10K (4 reports)2023 · 0.00/10K (0 reports)2024 · 0.00/10K (0 reports)2025 · 0.00/10K (0 reports)
Classifier category mix
Governance & policy · 3Corruption Fraud · 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.

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Normalized #21 · raw-volume #22 · qualified coverage base

Meerut: Land Scam reporting profile

6 tagged reports appeared within 10,393 civic reports in 2021–2025, equal to 5.77 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 1.75 in 2021–2023 versus 10.71 in 2024–2025. The city's peak normalized year was 2024.

Normalized signal
5.77
per 10K civic reports
Tagged coverage
6
3 active years
Recent change
+8.96
per-10K points
Action marker
33.3%
classifier coverage
20212025
Annual evidence
2021 · 4.29/10K (1 reports)2022 · 0.00/10K (0 reports)2023 · 0.00/10K (0 reports)2024 · 11.64/10K (3 reports)2025 · 9.57/10K (2 reports)
Classifier category mix
Corruption Fraud · 6

The classifier marked authority or institutional action in 2 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 Meerut's broader civic problems analysis →
Normalized #22 · raw-volume #32 · qualified coverage base

Mathura: Land Scam reporting profile

3 tagged reports appeared within 5,388 civic reports in 2021–2025, equal to 5.57 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 8.64 in 2021–2023 versus 0.00 in 2024–2025. The city's peak normalized year was 2022.

Normalized signal
5.57
per 10K civic reports
Tagged coverage
3
2 active years
Recent change
-8.64
per-10K points
Action marker
0.0%
classifier coverage
20212025
Annual evidence
2021 · 10.48/10K (1 reports)2022 · 13.77/10K (2 reports)2023 · 0.00/10K (0 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.

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Normalized #23 · raw-volume #16 · qualified coverage base

Prayagraj: Land Scam reporting profile

8 tagged reports appeared within 16,169 civic reports in 2021–2025, equal to 4.95 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 2.42 in 2021–2023 versus 7.60 in 2024–2025. The city's peak normalized year was 2024.

Normalized signal
4.95
per 10K civic reports
Tagged coverage
8
3 active years
Recent change
+5.18
per-10K points
Action marker
12.5%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 0.00/10K (0 reports)2023 · 4.59/10K (2 reports)2024 · 11.98/10K (5 reports)2025 · 2.69/10K (1 reports)
Classifier category mix
Corruption Fraud · 8

The classifier marked authority or institutional action in 1 reports (12.5%) 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 Prayagraj's broader civic problems analysis →
Normalized #24 · raw-volume #2 · established coverage base

Mumbai: Land Scam reporting profile

59 tagged reports appeared within 119,517 civic reports in 2021–2025, equal to 4.94 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 5.32 in 2021–2023 versus 4.29 in 2024–2025. The city's peak normalized year was 2022.

Normalized signal
4.94
per 10K civic reports
Tagged coverage
59
4 active years
Recent change
-1.03
per-10K points
Action marker
20.3%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 12.60/10K (36 reports)2023 · 1.71/10K (4 reports)2024 · 2.38/10K (5 reports)2025 · 6.00/10K (14 reports)
Classifier category mix
Corruption Fraud · 51Governance & policy · 7Protest Civil Unrest · 1

The classifier marked authority or institutional action in 12 reports (20.3%) and conclusion language in 1 (1.7%). 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 #25 · raw-volume #21 · qualified coverage base

Ludhiana: Land Scam reporting profile

6 tagged reports appeared within 12,851 civic reports in 2021–2025, equal to 4.67 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 6.08 in 2021–2023 versus 0.00 in 2024–2025. The city's peak normalized year was 2022.

Normalized signal
4.67
per 10K civic reports
Tagged coverage
6
3 active years
Recent change
-6.08
per-10K points
Action marker
16.7%
classifier coverage
20212025
Annual evidence
2021 · 4.07/10K (1 reports)2022 · 9.60/10K (4 reports)2023 · 3.09/10K (1 reports)2024 · 0.00/10K (0 reports)2025 · 0.00/10K (0 reports)
Classifier category mix
Corruption Fraud · 5Legal Judicial · 1

The classifier marked authority or institutional action in 1 reports (16.7%) and conclusion language in 1 (16.7%). 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 #26 · raw-volume #9 · established coverage base

Bengaluru: Land Scam reporting profile

20 tagged reports appeared within 58,199 civic reports in 2021–2025, equal to 3.44 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 1.68 in 2021–2023 versus 5.26 in 2024–2025. The city's peak normalized year was 2024.

Normalized signal
3.44
per 10K civic reports
Tagged coverage
20
5 active years
Recent change
+3.58
per-10K points
Action marker
5.0%
classifier coverage
20212025
Annual evidence
2021 · 4.76/10K (3 reports)2022 · 0.93/10K (1 reports)2023 · 0.79/10K (1 reports)2024 · 7.50/10K (10 reports)2025 · 3.30/10K (5 reports)
Classifier category mix
Governance & policy · 10Corruption Fraud · 9Legal Judicial · 1

The classifier marked authority or institutional action in 1 reports (5.0%) 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 Bengaluru's broader civic problems analysis →
Normalized #27 · raw-volume #26 · qualified coverage base

Srinagar: Land Scam reporting profile

5 tagged reports appeared within 14,562 civic reports in 2021–2025, equal to 3.43 per 10,000. The recent-period comparison shows a broadly stable share of local civic coverage: 3.45 in 2021–2023 versus 3.41 in 2024–2025. The city's peak normalized year was 2025.

Normalized signal
3.43
per 10K civic reports
Tagged coverage
5
4 active years
Recent change
-0.04
per-10K points
Action marker
0.0%
classifier coverage
20212025
Annual evidence
2021 · 3.67/10K (1 reports)2022 · 3.07/10K (1 reports)2023 · 3.68/10K (1 reports)2024 · 0.00/10K (0 reports)2025 · 6.06/10K (2 reports)
Classifier category mix
Corruption Fraud · 5

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

Jaipur: Land 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 broadly stable share of local civic coverage: 2.92 in 2021–2023 versus 3.38 in 2024–2025. The city's peak normalized year was 2021.

Normalized signal
3.09
per 10K civic reports
Tagged coverage
5
3 active years
Recent change
+0.46
per-10K points
Action marker
20.0%
classifier coverage
20212025
Annual evidence
2021 · 7.36/10K (2 reports)2022 · 2.84/10K (1 reports)2023 · 0.00/10K (0 reports)2024 · 0.00/10K (0 reports)2025 · 6.04/10K (2 reports)
Classifier category mix
Corruption Fraud · 5

The classifier marked authority or institutional action in 1 reports (20.0%) and conclusion language in 1 (20.0%). 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 #29 · raw-volume #31 · qualified coverage base

Varanasi: Land Scam reporting profile

4 tagged reports appeared within 13,958 civic reports in 2021–2025, equal to 2.87 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 1.16 in 2021–2023 versus 5.59 in 2024–2025. The city's peak normalized year was 2024.

Normalized signal
2.87
per 10K civic reports
Tagged coverage
4
2 active years
Recent change
+4.43
per-10K points
Action marker
25.0%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 2.72/10K (1 reports)2023 · 0.00/10K (0 reports)2024 · 8.50/10K (3 reports)2025 · 0.00/10K (0 reports)
Classifier category mix
Corruption Fraud · 4

The classifier marked authority or institutional action in 1 reports (25.0%) 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 Varanasi's broader civic problems analysis →
Normalized #30 · raw-volume #3 · established coverage base

New Delhi: Land Scam reporting profile

59 tagged reports appeared within 297,207 civic reports in 2021–2025, equal to 1.99 per 10,000. The recent-period comparison shows a broadly stable share of local civic coverage: 2.10 in 2021–2023 versus 1.80 in 2024–2025. The city's peak normalized year was 2023.

Normalized signal
1.99
per 10K civic reports
Tagged coverage
59
5 active years
Recent change
-0.30
per-10K points
Action marker
15.3%
classifier coverage
20212025
Annual evidence
2021 · 0.66/10K (3 reports)2022 · 2.00/10K (13 reports)2023 · 3.12/10K (22 reports)2024 · 1.46/10K (9 reports)2025 · 2.18/10K (12 reports)
Classifier category mix
Corruption Fraud · 56Governance & policy · 2Legal Judicial · 1

The classifier marked authority or institutional action in 9 reports (15.3%) 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.

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Normalized #31 · raw-volume #29 · qualified coverage base

Chandigarh: Land Scam reporting profile

4 tagged reports appeared within 22,311 civic reports in 2021–2025, equal to 1.79 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 2.64 in 2021–2023 versus 0.00 in 2024–2025. The city's peak normalized year was 2022.

Normalized signal
1.79
per 10K civic reports
Tagged coverage
4
3 active years
Recent change
-2.64
per-10K points
Action marker
0.0%
classifier coverage
20212025
Annual evidence
2021 · 2.32/10K (1 reports)2022 · 3.46/10K (2 reports)2023 · 1.99/10K (1 reports)2024 · 0.00/10K (0 reports)2025 · 0.00/10K (0 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 Chandigarh's broader civic problems analysis →
Normalized #32 · raw-volume #24 · qualified coverage base

Kolkata: Land Scam reporting profile

5 tagged reports appeared within 31,282 civic reports in 2021–2025, equal to 1.60 per 10,000. The recent-period comparison shows a broadly stable share of local civic coverage: 1.27 in 2021–2023 versus 1.94 in 2024–2025. The city's peak normalized year was 2024.

Normalized signal
1.60
per 10K civic reports
Tagged coverage
5
3 active years
Recent change
+0.67
per-10K points
Action marker
20.0%
classifier coverage
20212025
Annual evidence
2021 · 2.53/10K (1 reports)2022 · 0.00/10K (0 reports)2023 · 1.85/10K (1 reports)2024 · 2.91/10K (3 reports)2025 · 0.00/10K (0 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 Kolkata's broader civic problems analysis →
National trend and methodology
All 45 cities

Annual normalized signal

20212025
2021 · 3.08/10K (48)2022 · 5.05/10K (110)2023 · 3.93/10K (85)2024 · 7.13/10K (146)2025 · 6.67/10K (129)

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 land_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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