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

Crimes against Scheduled Castes and Tribes

Cases under the Scheduled Castes and Scheduled Tribes (Prevention of Atrocities) Act and related IPC heads. Published by National Crime Records Bureau, 2020 to 2022.

7,5558,1828,8109,43710,064 202020212022 2020: 8,272 2021: 8,802 2022: 10,064

2020: 8,272 to 2022: 10,064

Total across all reporting states. Up 22% between the first and last year on record, which is arithmetic on two figures rather than a trend. The vertical axis does not start at zero, because every value sits well above it. Hover or tab through the points to read each year.

How to read this

Every reporting state added together

What it measures
Cases under the Scheduled Castes and Scheduled Tribes (Prevention of Atrocities) Act and related IPC heads.
What moves it
How many offences are recorded, which depends on how many are reported and how many police register. Better policing can raise this figure.
What it cannot show
Whether the underlying behaviour changed. A rise can mean more offences or more reporting, and this figure cannot separate them.

Years with fewer than twenty reporting states are left out, so a partial year cannot look like a collapse.

Rank State or union territory 2022 Relative Change since 2020
1 Madhya Pradesh 2,979
+24%
2 Rajasthan 2,521
+34%
3 Odisha 773
+24%
4 Maharashtra 742
+12%
5 Telangana 545
-5%
6 Chhattisgarh 516
+3%
7 Karnataka 438
+49%
8 Andhra Pradesh 396
+24%
9 Gujarat 330
+13%
10 Jharkhand 283
-18%
11 Kerala 172
+32%
12 Bihar 146
+55%
13 West Bengal 90
0%
14 Tamil Nadu 67
+191%
15 Mizoram 29
no entry
16 Assam 9
-10%
17 Uttar Pradesh 5
+67%
18 Dadra and Nagar Haveli and Daman and Diu 5
no entry
19 Himachal Pradesh 4
+33%
20 Sikkim 4
no entry
21 Tripura 3
+50%
22 Andaman and Nicobar Islands 3
+50%
23 Goa 1
-50%
24 Manipur 1
-50%
25 Uttarakhand 1
-92%
26 Jammu and Kashmir 1
no entry
27 Arunachal Pradesh 0
no entry
28 Haryana 0
no entry
29 Meghalaya 0
no entry
30 Nagaland 0
no entry
31 Punjab 0
-100%
32 Chandigarh 0
no entry
33 Delhi 0
-100%
34 Ladakh 0
no entry
35 Lakshadweep 0
-100%
36 Puducherry 0
no entry
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