Data Dictionary

Column Type Label Description
id int4 index
year date Year
state_name text State Name
state_code text State Code
district_name text District Name
district_code text District Code
registeration_circles text Case Registered in Circle
total_male numeric Total Male
male_below_5_years numeric Below 5 years (male)
male_5years_and_above_below_14years numeric 5 years & Above–Below 14 years (male)
male_14years_and_above_below_18years numeric 14 years & Above - Below 18 years (male)
male_18years_and_above_below_30years numeric 18 years & Above – Below 30 years (male)
male_30years_and_above_below_45years numeric 30 years & Above – Below 45 years (male)
male_45years_and_above_below_60years numeric 45 years & Above – Below 60 years (male)
male_60years_and_above numeric 60 years & Above (male)
total_female numeric Total Female
female_below_5_years numeric Below 5 years (female)
female_5years_and_above_below_14years numeric 5 years & Above–Below 14 years (female)
female_14years_and_above_below_18years numeric 14 years & Above - Below 18 years (female)
female_18years_and_above_below_30years numeric 18 years & Above – Below 30 years (female)
female_30yearsand_above_below_45years numeric 30 years & Above – Below 45 years (female)
female_45years_and_above_below_60years numeric 45 years & Above – Below 60 years (female)
female_60years_and_above numeric 60 years & Above (female)
total_transgender numeric Total Transgender
trans_below_5_years numeric Below 5 years (trans)
trans_5years_and_above_below_14years numeric 5 years & Above–Below 14 years (trans)
trans_14years_and_above_below_18years numeric 14 years & Above - Below 18 years (trans)
trans_18years_and_above_below_30years numeric 18 years & Above – Below 30 years (trans)
trans_30yearsand_above_below_45years numeric 30 years & Above – Below 45 years (trans)
trans_45years_and_above_below_60years numeric 45 years & Above – Below 60 years (trans)
trans_60years_and_above numeric 60 years & Above (trans)
grand_total numeric Grand Total (Male+Female+Transgender)
total_below_5_years numeric Below 5 years
total_5years_and_above_below_14years numeric 5 years & Above–Below 14 years
total_14years_and_above_below_18years numeric 14 years & Above - Below 18 years
total_18years_and_above_below_30years numeric 18 years & Above – Below 30 years
total_30yearsand_above_below_45years numeric 30 years & Above – Below 45 years
total_45years_and_above_below_60years numeric 45 years & Above – Below 60 years
total_60years_and_above numeric 60 years & Above

Additional Information

Field Value
Data last updated June 24, 2024
Metadata last updated June 25, 2024
Created June 24, 2024
Format CSV
License Open Data Commons Attribution License
Additional infonan
Data extraction pagehttps://ncrb.gov.in/crime-in-india.html
Data insightsData Insights that can be drawn:Distribution of missing persons across states and districts.Gender-wise analysis of missing persons.Age bracket-wise distribution for each gender to identify vulnerable age groups.Trends of missing persons over the years.Comparative analysis between states and districts based on missing person counts.Distribution of missing transgenders across states, districts, and age brackets.
Data last updated2,021
Data retreival date2023-10-01 00:00:00
Datastore activeTrue
District no12
FrequencyYearly
GranularityDistrict
Has viewsTrue
Idbe242b97-884a-4431-9c65-9b0644b6e9fb
Idp readyTrue
MethodologyData is presumably aggregated from various state and district police records and other relevant governmental agencies. Information is segmented by year, state, district, and further broken down by age groups and gender (male, female, transgender).
No indicators32
Package iddb72aca9-7907-456c-a7f5-407ecd3d0fc6
Position8
Size12.9 KiB
Skuncrb-cii_missing_persons_prv-dt-yr-him
Stateactive
States uts no1
Url typeupload
Years covered2017-2020
Methodology Data is presumably aggregated from various state and district police records and other relevant governmental agencies. Information is segmented by year, state, district, and further broken down by age groups and gender (male, female, transgender).
Similar Resources
Granularity Level District
Data Extraction Page https://ncrb.gov.in/crime-in-india.html
Data Retreival Date 2023-10-01 00:00:00
Data Last Updated 2021
Sku ncrb-cii_missing_persons_prv-dt-yr-him
Dataset Frequency Yearly
Years Covered 2017-2020
No of States/UT(s) 1
No of Districts 12
No of Tehsils/blocks
No of Gram Panchayats
Additional Information nan
Number of Indicators 32
Insights from the dataset Data Insights that can be drawn:Distribution of missing persons across states and districts.Gender-wise analysis of missing persons.Age bracket-wise distribution for each gender to identify vulnerable age groups.Trends of missing persons over the years.Comparative analysis between states and districts based on missing person counts.Distribution of missing transgenders across states, districts, and age brackets.
IDP Ready Yes