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

Which Indian cities show the strongest recruitment scam reporting signal?

A comparison of 45 Indian cities covered by Prism Geo. 15 pass the evidence gates and are ranked by exact recruitment_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 · 15 city-linked districts

Where the recruitment 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 11–15 Not ranked
Indian districts containing cities in the recruitment scam reporting ranking India's national silhouette has a soft boundary shadow. District lines are subdued, while the 15 districts containing ranked cities are highlighted by rank. #6 Gwalior — Gwalior district proxy — 7.43 tagged reports per 10,000 civic reports#7 Bhopal — Bhopal district proxy — 6.02 tagged reports per 10,000 civic reports#13 Patna — Patna district proxy — 3.82 tagged reports per 10,000 civic reports#8 Chandigarh — Chandigarh district proxy — 5.83 tagged reports per 10,000 civic reports#5 Raipur — Raipur district proxy — 8.98 tagged reports per 10,000 civic reports#2 Dehradun — Dehradun district proxy — 37.95 tagged reports per 10,000 civic reports#1 Kolkata — Kolkata district proxy — 101.98 tagged reports per 10,000 civic reports#4 Bengaluru — Bangalore district proxy — 15.81 tagged reports per 10,000 civic reports#12 Pune — Pune district proxy — 4.14 tagged reports per 10,000 civic reports#15 Mumbai — Mumbai Suburban district proxy — 0.33 tagged reports per 10,000 civic reports#3 Bhubaneswar — Khordha district proxy — 22.42 tagged reports per 10,000 civic reports#11 Jaipur — Jaipur district proxy — 4.94 tagged reports per 10,000 civic reports#9 Meerut — Meerut district proxy — 5.77 tagged reports per 10,000 civic reports#10 Lucknow — Lucknow district proxy — 5.38 tagged reports per 10,000 civic reports#14 New Delhi — Central district proxy — 1.14 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

Kolkata leads the normalized comparison at 101.98 tagged reports per 10,000 civic reports. Kolkata leads raw volume with 319 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
15
passed both evidence gates
Normalized leader
Kolkata
101.98 per 10K
Raw-volume leader
Kolkata
319 tagged reports
Largest recent rise
Bhubaneswar
+43.55 per-10K points
National comparison
-4.72
recent per-10K change
Computed findings
What stands out
Complete ranking
Primary and companion measures

Recruitment 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
1Kolkata
West Bengal
101.983191-140.564/5
2Dehradun
Uttarakhand
37.95374-66.023/5
3Bhubaneswar
Odisha
22.42393+43.553/5
4Bengaluru
Karnataka
15.81922-29.613/5
5Raipur
Chhattisgarh
8.98812+18.593/5
6Gwalior
Madhya Pradesh
7.43315+17.831/5
7Bhopal
Madhya Pradesh
6.02109-4.394/5
8Chandigarh
Chandigarh
5.83138-6.544/5
9Meerut
Uttar Pradesh
5.77613-2.712/5
10Lucknow
Uttar Pradesh
5.38196-2.994/5
11Jaipur
Rajasthan
4.94811+13.542/5
12Pune
Maharashtra
4.14157-2.724/5
13Patna
Bihar
3.821010-2.224/5
14New Delhi
Delhi
1.14345-0.195/5
15Mumbai
Maharashtra
0.33414-0.173/5

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 · high coverage base

Kolkata: Recruitment Scam reporting profile

319 tagged reports appeared within 31,282 civic reports in 2021–2025, equal to 101.98 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 171.56 in 2021–2023 versus 31.00 in 2024–2025. The city's peak normalized year was 2022.

Normalized signal
101.98
per 10K civic reports
Tagged coverage
319
4 active years
Recent change
-140.56
per-10K points
Action marker
23.2%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 257.84/10K (166 reports)2023 · 194.37/10K (105 reports)2024 · 26.15/10K (27 reports)2025 · 40.70/10K (21 reports)
Classifier category mix
Corruption Fraud · 312Governance & policy · 4Protest Civil Unrest · 3

The classifier marked authority or institutional action in 74 reports (23.2%) and conclusion language in 1 (0.3%). 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 #2 · raw-volume #4 · established coverage base

Dehradun: Recruitment Scam reporting profile

37 tagged reports appeared within 9,750 civic reports in 2021–2025, equal to 37.95 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 68.25 in 2021–2023 versus 2.23 in 2024–2025. The city's peak normalized year was 2022.

Normalized signal
37.95
per 10K civic reports
Tagged coverage
37
3 active years
Recent change
-66.02
per-10K points
Action marker
8.1%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 138.45/10K (26 reports)2023 · 54.70/10K (10 reports)2024 · 4.22/10K (1 reports)2025 · 0.00/10K (0 reports)
Classifier category mix
Corruption Fraud · 24Governance & policy · 7Protest Civil Unrest · 6

The classifier marked authority or institutional action in 3 reports (8.1%) and conclusion language in 1 (2.7%). 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 #3 · raw-volume #3 · established coverage base

Bhubaneswar: Recruitment Scam reporting profile

39 tagged reports appeared within 17,398 civic reports in 2021–2025, equal to 22.42 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 3.10 in 2021–2023 versus 46.65 in 2024–2025. The city's peak normalized year was 2025.

Normalized signal
22.42
per 10K civic reports
Tagged coverage
39
3 active years
Recent change
+43.55
per-10K points
Action marker
23.1%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 8.73/10K (3 reports)2023 · 0.00/10K (0 reports)2024 · 8.09/10K (3 reports)2025 · 82.29/10K (33 reports)
Classifier category mix
Corruption Fraud · 37Governance & policy · 2

The classifier marked authority or institutional action in 9 reports (23.1%) 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 Bhubaneswar's broader civic problems analysis →
Normalized #4 · raw-volume #2 · high coverage base

Bengaluru: Recruitment Scam reporting profile

92 tagged reports appeared within 58,199 civic reports in 2021–2025, equal to 15.81 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 30.31 in 2021–2023 versus 0.70 in 2024–2025. The city's peak normalized year was 2022.

Normalized signal
15.81
per 10K civic reports
Tagged coverage
92
3 active years
Recent change
-29.61
per-10K points
Action marker
17.4%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 71.42/10K (77 reports)2023 · 10.31/10K (13 reports)2024 · 1.50/10K (2 reports)2025 · 0.00/10K (0 reports)
Classifier category mix
Corruption Fraud · 83Governance & policy · 8Policing & law enforcement · 1

The classifier marked authority or institutional action in 16 reports (17.4%) 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 Bengaluru's broader civic problems analysis →
Normalized #5 · raw-volume #12 · qualified coverage base

Raipur: Recruitment Scam reporting profile

8 tagged reports appeared within 8,910 civic reports in 2021–2025, equal to 8.98 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 1.82 in 2021–2023 versus 20.41 in 2024–2025. The city's peak normalized year was 2024.

Normalized signal
8.98
per 10K civic reports
Tagged coverage
8
3 active years
Recent change
+18.59
per-10K points
Action marker
25.0%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 0.00/10K (0 reports)2023 · 4.11/10K (1 reports)2024 · 25.96/10K (4 reports)2025 · 15.89/10K (3 reports)
Classifier category mix
Corruption Fraud · 8

The classifier marked authority or institutional action in 2 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 Raipur's broader civic problems analysis →
Normalized #6 · raw-volume #15 · qualified coverage base

Gwalior: Recruitment Scam reporting profile

3 tagged reports appeared within 4,035 civic reports in 2021–2025, equal to 7.43 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 0.00 in 2021–2023 versus 17.83 in 2024–2025. The city's peak normalized year was 2025.

Normalized signal
7.43
per 10K civic reports
Tagged coverage
3
1 active years
Recent change
+17.83
per-10K points
Action marker
0.0%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 0.00/10K (0 reports)2023 · 0.00/10K (0 reports)2024 · 0.00/10K (0 reports)2025 · 33.94/10K (3 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 Gwalior's broader civic problems analysis →
Normalized #7 · raw-volume #9 · qualified coverage base

Bhopal: Recruitment Scam reporting profile

10 tagged reports appeared within 16,621 civic reports in 2021–2025, equal to 6.02 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 7.64 in 2021–2023 versus 3.25 in 2024–2025. The city's peak normalized year was 2023.

Normalized signal
6.02
per 10K civic reports
Tagged coverage
10
4 active years
Recent change
-4.39
per-10K points
Action marker
40.0%
classifier coverage
20212025
Annual evidence
2021 · 7.20/10K (2 reports)2022 · 2.78/10K (1 reports)2023 · 12.18/10K (5 reports)2024 · 0.00/10K (0 reports)2025 · 5.62/10K (2 reports)
Classifier category mix
Corruption Fraud · 6Governance & policy · 2Protest Civil Unrest · 2

The classifier marked authority or institutional action in 4 reports (40.0%) and conclusion language in 4 (40.0%). 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 #8 · raw-volume #8 · qualified coverage base

Chandigarh: Recruitment Scam reporting profile

13 tagged reports appeared within 22,311 civic reports in 2021–2025, equal to 5.83 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 7.93 in 2021–2023 versus 1.39 in 2024–2025. The city's peak normalized year was 2021.

Normalized signal
5.83
per 10K civic reports
Tagged coverage
13
4 active years
Recent change
-6.54
per-10K points
Action marker
38.5%
classifier coverage
20212025
Annual evidence
2021 · 9.26/10K (4 reports)2022 · 8.65/10K (5 reports)2023 · 5.96/10K (3 reports)2024 · 2.60/10K (1 reports)2025 · 0.00/10K (0 reports)
Classifier category mix
Corruption Fraud · 13

The classifier marked authority or institutional action in 5 reports (38.5%) and conclusion language in 1 (7.7%). 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 #9 · raw-volume #13 · qualified coverage base

Meerut: Recruitment 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 falling share of local civic coverage: 6.99 in 2021–2023 versus 4.28 in 2024–2025. The city's peak normalized year was 2022.

Normalized signal
5.77
per 10K civic reports
Tagged coverage
6
2 active years
Recent change
-2.71
per-10K points
Action marker
50.0%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 21.47/10K (4 reports)2023 · 0.00/10K (0 reports)2024 · 7.76/10K (2 reports)2025 · 0.00/10K (0 reports)
Classifier category mix
Corruption Fraud · 6

The classifier marked authority or institutional action in 3 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 Meerut's broader civic problems analysis →
Normalized #10 · raw-volume #6 · qualified coverage base

Lucknow: Recruitment Scam reporting profile

19 tagged reports appeared within 35,340 civic reports in 2021–2025, equal to 5.38 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 6.56 in 2021–2023 versus 3.57 in 2024–2025. The city's peak normalized year was 2022.

Normalized signal
5.38
per 10K civic reports
Tagged coverage
19
4 active years
Recent change
-2.99
per-10K points
Action marker
21.1%
classifier coverage
20212025
Annual evidence
2021 · 6.00/10K (4 reports)2022 · 12.40/10K (10 reports)2023 · 0.00/10K (0 reports)2024 · 1.31/10K (1 reports)2025 · 6.26/10K (4 reports)
Classifier category mix
Corruption Fraud · 18Policing & law enforcement · 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 Lucknow's broader civic problems analysis →
Normalized #11 · raw-volume #11 · qualified coverage base

Jaipur: Recruitment Scam reporting profile

8 tagged reports appeared within 16,200 civic reports in 2021–2025, equal to 4.94 per 10,000. The recent-period comparison shows a rising share of local civic coverage: 0.00 in 2021–2023 versus 13.54 in 2024–2025. The city's peak normalized year was 2025.

Normalized signal
4.94
per 10K civic reports
Tagged coverage
8
2 active years
Recent change
+13.54
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 · 0.00/10K (0 reports)2024 · 11.56/10K (3 reports)2025 · 15.09/10K (5 reports)
Classifier category mix
Corruption Fraud · 6Governance & policy · 2

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

Pune: Recruitment Scam reporting profile

15 tagged reports appeared within 36,239 civic reports in 2021–2025, equal to 4.14 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 5.30 in 2021–2023 versus 2.58 in 2024–2025. The city's peak normalized year was 2022.

Normalized signal
4.14
per 10K civic reports
Tagged coverage
15
4 active years
Recent change
-2.72
per-10K points
Action marker
46.7%
classifier coverage
20212025
Annual evidence
2021 · 6.58/10K (4 reports)2022 · 6.85/10K (5 reports)2023 · 2.71/10K (2 reports)2024 · 0.00/10K (0 reports)2025 · 5.42/10K (4 reports)
Classifier category mix
Corruption Fraud · 13Education · 1Policing & law enforcement · 1

The classifier marked authority or institutional action in 7 reports (46.7%) 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 #13 · raw-volume #10 · qualified coverage base

Patna: Recruitment Scam reporting profile

10 tagged reports appeared within 26,153 civic reports in 2021–2025, equal to 3.82 per 10,000. The recent-period comparison shows a falling share of local civic coverage: 4.81 in 2021–2023 versus 2.59 in 2024–2025. The city's peak normalized year was 2022.

Normalized signal
3.82
per 10K civic reports
Tagged coverage
10
4 active years
Recent change
-2.22
per-10K points
Action marker
20.0%
classifier coverage
20212025
Annual evidence
2021 · 2.28/10K (1 reports)2022 · 11.16/10K (6 reports)2023 · 0.00/10K (0 reports)2024 · 1.75/10K (1 reports)2025 · 3.40/10K (2 reports)
Classifier category mix
Corruption Fraud · 8Labor Employment · 1Protest Civil Unrest · 1

The classifier marked authority or institutional action in 2 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 Patna's broader civic problems analysis →
Normalized #14 · raw-volume #5 · established coverage base

New Delhi: Recruitment Scam reporting profile

34 tagged reports appeared within 297,207 civic reports in 2021–2025, equal to 1.14 per 10,000. The recent-period comparison shows a broadly stable share of local civic coverage: 1.22 in 2021–2023 versus 1.03 in 2024–2025. The city's peak normalized year was 2022.

Normalized signal
1.14
per 10K civic reports
Tagged coverage
34
5 active years
Recent change
-0.19
per-10K points
Action marker
20.6%
classifier coverage
20212025
Annual evidence
2021 · 0.66/10K (3 reports)2022 · 2.31/10K (15 reports)2023 · 0.57/10K (4 reports)2024 · 0.81/10K (5 reports)2025 · 1.27/10K (7 reports)
Classifier category mix
Corruption Fraud · 30Governance & policy · 2Policing & law enforcement · 1

The classifier marked authority or institutional action in 7 reports (20.6%) and conclusion language in 1 (2.9%). 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 →
Normalized #15 · raw-volume #14 · qualified coverage base

Mumbai: Recruitment Scam reporting profile

4 tagged reports appeared within 119,517 civic reports in 2021–2025, equal to 0.33 per 10,000. The recent-period comparison shows a broadly stable share of local civic coverage: 0.40 in 2021–2023 versus 0.23 in 2024–2025. The city's peak normalized year was 2023.

Normalized signal
0.33
per 10K civic reports
Tagged coverage
4
3 active years
Recent change
-0.17
per-10K points
Action marker
25.0%
classifier coverage
20212025
Annual evidence
2021 · 0.00/10K (0 reports)2022 · 0.35/10K (1 reports)2023 · 0.85/10K (2 reports)2024 · 0.48/10K (1 reports)2025 · 0.00/10K (0 reports)
Classifier category mix
Corruption Fraud · 3Education · 1

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 Mumbai's broader civic problems analysis →
National trend and methodology
All 45 cities

Annual normalized signal

20212025
2021 · 1.54/10K (24)2022 · 14.97/10K (326)2023 · 6.84/10K (148)2024 · 2.73/10K (56)2025 · 4.76/10K (92)

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 recruitment_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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