Districtwise Missing Persons 2021 onwards
The dataset provides data regarding individuals who went missing in different states and districts of Himachal Pradesh. The dataset segregates the missing persons based on gender (Male, Female, Transgender) and further categorizes them based on age groups. This helps in understanding the demographics of missing persons on a district and state level.
Data Dictionary
| Column | Type | Label | Description |
|---|---|---|---|
| id | int4 | index | |
| year | text | Year | |
| state_name | text | State Name | |
| state_code | text | State Code | |
| district_name | text | District Name | |
| district_code | text | District Code | |
| registration_circles | text | Registration Circles | |
| male_below_12_years | numeric | Male Below 12 Years | |
| male_12_years_to_16_years | numeric | Male 12 Years To 16 Years | |
| male_16_years_to_18_years | numeric | Male 16 Years To 18 Years | |
| male_children | numeric | Male Children | |
| male_18_years_and_above | numeric | Male 18 Years And Above | |
| female_below_12_years | numeric | Female Below 12 Years | |
| female_12_years_to_16_years | numeric | Female 12 Years To 16 Years | |
| female_16_years_to_18_years | numeric | Female 16 Years To 18 Years | |
| female_children | numeric | Female Children | |
| female_18_years_and_above | numeric | Female 18 Years And Above | |
| transgender_below_12_years | numeric | Transgender Below 12 Years | |
| transgender_12_years_to_16_years | numeric | Transgender 12 Years To 16 Years | |
| transgender_16_years_to_18_years | numeric | Transgender 16 Years To 18 Years | |
| transgender_children | numeric | Transgender Children | |
| transgender_18_years_and_above | numeric | Transgender 18 Years And Above |
Additional Information
| Field | Value |
|---|---|
| Data last updated | December 2, 2024 |
| Metadata last updated | December 3, 2024 |
| Created | December 2, 2024 |
| Format | CSV |
| License | Open Data Commons Attribution License |
| Additional info | nan |
| Data extraction page | https://ncrb.gov.in/crime-in-india.html |
| Data insights | Data Insights that can be drawn:Distribution of missing persons based on gender across different districts.Age-wise breakdown of missing persons which can shed light on the age groups that are most vulnerable.Comparative analysis between districts to identify regions with high numbers of missing persons.Gender-wise distribution in specific age groups to understand if there's a significant disparity.Analysis of total missing children vs. adults can help in strategizing preventive measures for the vulnerable age groups. |
| Data last updated | 01-08-2024 |
| Data retreival date | 2024-07-01 00:00:00 |
| Datastore active | True |
| District no | 12 |
| Frequency | Yearly |
| Granularity | District |
| Has views | True |
| Id | c3185f77-d9fd-4a07-89a2-a480dfcbec21 |
| Idp ready | True |
| Methodology | The dataset is sourced from the official website of the National Crime Records Bureau (NCRB) of India. NCRB collates this data from various state and district police records. It is important to note that the data might be subject to changes based on further verifications and updates from respective state and district authorities. |
| No indicators | 15 |
| Package id | db72aca9-7907-456c-a7f5-407ecd3d0fc6 |
| Position | 11 |
| Size | 4.3 KiB |
| Sku | ncrb-cii_missing_persons_rct-dt-yr-him |
| State | active |
| States uts no | 1 |
| Url type | upload |
| Years covered | 2021-2022 |
| Methodology | The dataset is sourced from the official website of the National Crime Records Bureau (NCRB) of India. NCRB collates this data from various state and district police records. It is important to note that the data might be subject to changes based on further verifications and updates from respective state and district authorities. |
| Similar Resources | |
| Granularity Level | District |
| Data Extraction Page | https://ncrb.gov.in/crime-in-india.html |
| Data Retreival Date | 2024-07-01 00:00:00 |
| Data Last Updated | 01-08-2024 |
| Sku | ncrb-cii_missing_persons_rct-dt-yr-him |
| Dataset Frequency | Yearly |
| Years Covered | 2021-2022 |
| No of States/UT(s) | 1 |
| No of Districts | 12 |
| No of Tehsils/blocks | |
| No of Gram Panchayats | |
| Additional Information | nan |
| Number of Indicators | 15 |
| Insights from the dataset | Data Insights that can be drawn:Distribution of missing persons based on gender across different districts.Age-wise breakdown of missing persons which can shed light on the age groups that are most vulnerable.Comparative analysis between districts to identify regions with high numbers of missing persons.Gender-wise distribution in specific age groups to understand if there's a significant disparity.Analysis of total missing children vs. adults can help in strategizing preventive measures for the vulnerable age groups. |
| IDP Ready | Yes |