NetaRecord
Every sitting member

All members

Affidavits, declared assets, criminal cases and attendance, filed against the person who filed them.

Area data

All indicators

Crime, population and spending figures for the state and district a seat sits in, from the agency that published them.

How this is built

API reference

What each figure comes from, what it cannot tell you, and what is still missing from the record.

Area indicators

Figures about places, not people.

Crime, safety, education and population data for states and districts, pulled from the Open Government Data platform. These describe a geography, never a legislator. There is no join in this database from a crime figure to a member, and the API refuses to return one.

Why that matters. A constituency with a high reported crime figure is not evidence about the person who represents it. Reported crime measures reporting as much as incidence: a state with better policing and more willing complainants can look worse than one where offences go unrecorded.
Crime

Total cognizable crimes reported

Cases registered under the Indian Penal Code together with cases under Special and Local Laws, which is the widest definition of recorded crime the NCRB publishes. Published by National Crime Records Bureau, 2016 to 2020.

Rank State or union territory 2020 Relative Change since 2016
1 Tamil Nadu 13,77,681
+195%
2 Gujarat 6,99,619
+61%
3 Uttar Pradesh 6,57,925
+33%
4 Kerala 5,54,724
-22%
5 Maharashtra 5,39,003
+25%
6 Madhya Pradesh 4,28,046
+17%
7 Delhi 2,66,070
+23%
8 Rajasthan 2,60,378
+4%
9 Bihar 2,57,512
+36%
10 Andhra Pradesh 2,38,105
+84%
11 Haryana 1,92,395
+34%
12 West Bengal 1,82,367
-11%
13 Karnataka 1,50,080
-16%
14 Telangana 1,47,504
+23%
15 Odisha 1,34,230
+30%
16 Assam 1,21,609
+14%
17 Chhattisgarh 1,03,173
+23%
18 Punjab 82,875
+44%
19 Jharkhand 63,570
+33%
20 Uttarakhand 57,332
+257%
21 Jammu and Kashmir 28,911
+9%
22 Himachal Pradesh 20,630
+20%
23 Puducherry 7,940
+63%
24 Tripura 4,653
+14%
25 Goa 4,366
+18%
26 Meghalaya 3,744
+5%
27 Chandigarh 3,254
-24%
28 Manipur 2,986
-27%
29 Andaman and Nicobar Islands 2,542
+2%
30 Arunachal Pradesh 2,503
-7%
31 Mizoram 2,289
-18%
32 Nagaland 1,511
-21%
33 Sikkim 675
-34%
34 Dadra and Nagar Haveli and Daman and Diu 533
-2%
35 Ladakh 403
no entry
36 Lakshadweep 147
+194%
Figures describe the state, not any legislator of it. Ranked by the most recent year on record. The change column is arithmetic on the first and last published figures, not a trend estimate.

Every row in this table comes from one place: api.data.gov.in Published by National Crime Records Bureau.

Loaded series

11 of 39 with data

Crime

Population

Policing and justice

Defined but not yet loaded

28 series

These series are defined with their unit, direction and caveat, so the interface is ready for them. They are empty because the source resource has not been imported yet, not because the figure is zero. District and city figures in particular are published unevenly by year, and where only a state figure exists this database stores only a state figure.

Crimes against womenRate per lakh womenRapeDomestic crueltyDowry deathsCrimes against childrenPOCSO casesBoys missingGirls missingVictimsFemale victimsMale victimsRescuedIPC casesMurderCyber crimeCommunal riotingPopulationSex ratioChild sex ratioLiteracyFemale literacyMale literacyLiteracy gapMPI povertyMPI intensityConviction rateChargesheet rate
Method

How these figures reach a seat page.

A constituency is not a district, so the overlap has to be stated rather than assumed.

Most parliamentary seats span several districts and most districts contain several assembly seats. Where a district figure is shown on a seat page, the districts it covers are named and the overlap is stated. Where only a state figure exists, the page says state rather than dividing a state number across districts.

Every rate here uses a 2011 Census denominator, because the 2021 Census has not been conducted. Rates for fast-growing districts are therefore overstated, and that is a limit of the source rather than a choice made here. Where a publisher gives both a count and a rate, both are stored so the rate can be recomputed and checked.

Full methodology and every source with its licence.

Sources and licences What is missing