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.
Violent crime rate
Violent crimes recorded per 100,000 people, as published. Published by National Crime Records Bureau, 2022 to 2023.
Denominator: projected mid-year population.
2022: 27 per lakh to 2023: 38 per lakh
Average across all reporting states. Up 39% 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.
The average across reporting states
- What it measures
- Violent crimes recorded per 100,000 people, as published.
- 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 | 2023 | Relative | Change since 2022 |
|---|---|---|---|---|
| 1 | Manipur | 447 per lakh | +2166% | |
| 2 | Odisha | 69 per lakh | -28% | |
| 3 | Delhi | 52 per lakh | -5% | |
| 4 | Haryana | 49 per lakh | +8% | |
| 5 | West Bengal | 47 per lakh | +1% | |
| 6 | Bihar | 41 per lakh | +4% | |
| 7 | Tripura | 37 per lakh | +15% | |
| 8 | Maharashtra | 37 per lakh | +1% | |
| 9 | Assam | 32 per lakh | -20% | |
| 10 | Madhya Pradesh | 32 per lakh | +2% | |
| 11 | Jharkhand | 31 per lakh | -8% | |
| 12 | Chandigarh | 31 per lakh | +11% | |
| 13 | Uttarakhand | 31 per lakh | -10% | |
| 14 | Rajasthan | 30 per lakh | +1% | |
| 15 | Andaman and Nicobar Islands | 30 per lakh | +23% | |
| 16 | Arunachal Pradesh | 29 per lakh | +2% | |
| 17 | Kerala | 29 per lakh | +8% | |
| 18 | Chhattisgarh | 28 per lakh | -4% | |
| 19 | Karnataka | 26 per lakh | +4% | |
| 20 | Telangana | 26 per lakh | +4% | |
| 21 | Himachal Pradesh | 25 per lakh | 0% | |
| 22 | Goa | 23 per lakh | -9% | |
| 23 | Uttar Pradesh | 21 per lakh | -7% | |
| 24 | Punjab | 20 per lakh | -1% | |
| 25 | Jammu and Kashmir | 18 per lakh | -11% | |
| 26 | Sikkim | 16 per lakh | -29% | |
| 27 | Puducherry | 15 per lakh | +21% | |
| 28 | Tamil Nadu | 15 per lakh | -9% | |
| 29 | Meghalaya | 14 per lakh | -16% | |
| 30 | Mizoram | 14 per lakh | -9% | |
| 31 | Gujarat | 13 per lakh | -2% | |
| 32 | Andhra Pradesh | 12 per lakh | -10% | |
| 33 | Dadra and Nagar Haveli and Daman and Diu | 11 per lakh | -12% | |
| 34 | Lakshadweep | 7 per lakh | 0% | |
| 35 | Nagaland | 7 per lakh | +18% | |
| 36 | Ladakh | 5 per lakh | -52% |
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.