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

Child trafficking victims under 18

Persons under 18 recorded as victims in registered trafficking cases. Published by National Crime Records Bureau, 2017 to 2021.

08841,7682,6513,535 20172018201920202021 2017: 3,535 2018: 2,772 2019: 2,863 2020: 2,220 2021: 2,877

2017: 3,535 to 2021: 2,877

Total across all reporting states. Down 19% between the first and last year on record, which is arithmetic on two figures rather than a trend. The vertical axis starts at zero. Hover or tab through the points to read each year.

How to read this

Every reporting state added together

What it measures
Persons under 18 recorded as victims in registered trafficking cases.
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 2021 Relative Change since 2017
1 Odisha 497
+325%
2 Delhi 437
+1%
3 Rajasthan 417
-53%
4 Bihar 311
-21%
5 Telangana 222
+79%
6 Kerala 219
+265%
7 Assam 215
+15%
8 Jharkhand 146
-56%
9 Madhya Pradesh 87
-28%
10 Andhra Pradesh 58
+123%
11 Maharashtra 52
-61%
12 West Bengal 50
-84%
13 Chhattisgarh 43
-4%
14 Uttar Pradesh 40
+5%
15 Haryana 21
+133%
16 Tamil Nadu 16
-57%
17 Punjab 11
+38%
18 Uttarakhand 9
-40%
19 Gujarat 5
+150%
20 Karnataka 5
-97%
21 Himachal Pradesh 4
+33%
22 Manipur 4
-69%
23 Arunachal Pradesh 3
no entry
24 Chandigarh 2
no entry
25 Jammu and Kashmir 2
+100%
26 Meghalaya 1
-67%
27 Goa 0
-100%
28 Mizoram 0
-100%
29 Nagaland 0
no entry
30 Sikkim 0
-100%
31 Tripura 0
-100%
32 Andaman and Nicobar Islands 0
no entry
33 Ladakh 0
no entry
34 Lakshadweep 0
no entry
35 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