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.
Total cognizable crime rate
Cases registered per 100,000 people under the Indian Penal Code and Special and Local Laws combined. This is the headline crime rate, and the only crime figure on which two states of different size can be compared. Published by National Crime Records Bureau, 2016 to 2020.
Denominator: projected mid-year population.
2016: 336 per lakh to 2020: 411 per lakh
Average 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.
The average across reporting states
- What it measures
- Cases registered per 100,000 people under the Indian Penal Code and Special and Local Laws combined. This is the headline crime rate, and the only crime figure on which two states of different size can be compared.
- 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 | 2020 | Relative | Change since 2016 |
|---|---|---|---|---|
| 1 | Tamil Nadu | 1,809 per lakh | +169% | |
| 2 | Kerala | 1,568 per lakh | -21% | |
| 3 | Delhi | 1,310 per lakh | +30% | |
| 4 | Gujarat | 1,011 per lakh | +47% | |
| 5 | Haryana | 659 per lakh | +27% | |
| 6 | Andaman and Nicobar Islands | 637 per lakh | +42% | |
| 7 | Puducherry | 513 per lakh | +77% | |
| 8 | Madhya Pradesh | 511 per lakh | +10% | |
| 9 | Uttarakhand | 507 per lakh | +237% | |
| 10 | Andhra Pradesh | 453 per lakh | +81% | |
| 11 | Maharashtra | 436 per lakh | +22% | |
| 12 | Telangana | 393 per lakh | +20% | |
| 13 | Chhattisgarh | 353 per lakh | +9% | |
| 14 | Assam | 350 per lakh | +6% | |
| 15 | Rajasthan | 331 per lakh | -3% | |
| 16 | Odisha | 295 per lakh | +21% | |
| 17 | Uttar Pradesh | 287 per lakh | +28% | |
| 18 | Goa | 281 per lakh | +51% | |
| 19 | Himachal Pradesh | 280 per lakh | +16% | |
| 20 | Punjab | 275 per lakh | +39% | |
| 21 | Chandigarh | 272 per lakh | +15% | |
| 22 | Karnataka | 226 per lakh | -21% | |
| 23 | Jammu and Kashmir | 217 per lakh | +1% | |
| 24 | Lakshadweep | 216 per lakh | +254% | |
| 25 | Bihar | 211 per lakh | +16% | |
| 26 | Mizoram | 190 per lakh | -28% | |
| 27 | West Bengal | 187 per lakh | -14% | |
| 28 | Jharkhand | 167 per lakh | +18% | |
| 29 | Arunachal Pradesh | 165 per lakh | -20% | |
| 30 | Ladakh | 136 per lakh | no entry | |
| 31 | Tripura | 115 per lakh | +8% | |
| 32 | Meghalaya | 115 per lakh | -11% | |
| 33 | Sikkim | 100 per lakh | -36% | |
| 34 | Manipur | 95 per lakh | -40% | |
| 35 | Nagaland | 69 per lakh | -13% | |
| 36 | Dadra and Nagar Haveli and Daman and Diu | 51 per lakh | -28% |
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 dataCrime
Population
Policing and justice
Defined but not yet loaded
28 seriesThese 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.
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.