Data Dictionary

Column Type Label Description
id int4 index
year text Year
state_name text State Name
state_code text State Code
crime_type_head text Crime Type
number_of_crimes numeric Number of Crimes

Additional Information

Field Value
Data last updated November 15, 2023
Metadata last updated November 15, 2023
Created unknown
Format CSV
License Open Data Commons Attribution License
Created1 year ago
FrequencyYearly
Media typetext/csv
Size25,703
Additional infonan
Data extraction pagenan
Data insightsSeveral insights can be drawn: Trends Over Time: Analyzing the year-wise data can reveal trends in the prevalence of different types of crimes against children in Meghalaya. Crime Type Prevalence: Identifying which types of crimes are most common, to prioritize law enforcement and protective measures. Policy Impact Analysis: Understanding the effectiveness of child protection policies and amendments in law over the years. Geographical Analysis: While this dataset does not include location-specific data, combining it with geographical data could provide insights into regions most affected by certain types of crimes.
Data last updated2,021
Data retreival date2023-09-11 00:00:00
Datastore activeTrue
GranularityState
Has viewsTrue
Id78f5ccef-bc6d-4fcd-b6ce-8ab7d569868a
Idp readyTrue
MethodologyThe data provided by the government of Meghalya
No indicators1
Package idc0c57ded-d115-40af-85a4-b5c22709b86c
Position0
Skucrime_against_children
Stateactive
States uts no1
Url typeupload
Years covered2007-2021
Methodology The data provided by the government of Meghalya
Similar Resources
Granularity Level State
Data Extraction Page nan
Data Retreival Date 2023-09-11 00:00:00
Data Last Updated 2021
Sku crime_against_children
Dataset Frequency
Years Covered 2007-2021
No of States/UT(s) 1
No of Districts
No of Tehsils/blocks
No of Gram Panchayats
Additional Information nan
Number of Indicators 1
Insights from the dataset Several insights can be drawn: Trends Over Time: Analyzing the year-wise data can reveal trends in the prevalence of different types of crimes against children in Meghalaya. Crime Type Prevalence: Identifying which types of crimes are most common, to prioritize law enforcement and protective measures. Policy Impact Analysis: Understanding the effectiveness of child protection policies and amendments in law over the years. Geographical Analysis: While this dataset does not include location-specific data, combining it with geographical data could provide insights into regions most affected by certain types of crimes.
IDP Ready Yes