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 16, 2023
Created unknown
Format CSV
License Open Data Commons Attribution License
Created1 year ago
FrequencyYearly
Media typetext/csv
Size25,811
Additional infonan
Data extraction pagenan
Data insightsData Insights that Can be DrawnTrends Over Time: Analysis of the data can reveal trends in various types of crimes over the years. This can help in understanding whether certain crimes are increasing or decreasing.Type of Crimes: By examining the 'crime_type_head' variable, one can identify the most common types of crimes committed in Meghalaya.Policy Effectiveness: The data can be used to evaluate the effectiveness of law enforcement and social policies over time.Predictive Analysis: With advanced statistical methods, the data can help in predicting future trends in crime, aiding in proactive law enforcement and policy-making.
Data last updated2,021
Data retreival date2023-09-11 00:00:00
Datastore activeTrue
GranularityState
Has viewsTrue
Id75dbcd04-751c-488c-bb1b-44aaf00c261d
Idp readyTrue
MethodologyThe data provided by the government of Meghalya
No indicators1
Package idc0c57ded-d115-40af-85a4-b5c22709b86c
Position2
Skucrime_trends
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_trends
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 Data Insights that Can be DrawnTrends Over Time: Analysis of the data can reveal trends in various types of crimes over the years. This can help in understanding whether certain crimes are increasing or decreasing.Type of Crimes: By examining the 'crime_type_head' variable, one can identify the most common types of crimes committed in Meghalaya.Policy Effectiveness: The data can be used to evaluate the effectiveness of law enforcement and social policies over time.Predictive Analysis: With advanced statistical methods, the data can help in predicting future trends in crime, aiding in proactive law enforcement and policy-making.
IDP Ready Yes