Data Dictionary

Column Type Label 描述
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
block_name text Block Name
block_code text Block Code
infant_deaths numeric Number of Infant Deaths

其他信息

价值
Data last updated 2023年11月17日
Metadata last updated 2023年11月17日
创建的 未知
格式 CSV
授权 Open Data Commons Attribution License
FrequencyYearly
Media typetext/csv
Size5,923
Additional infoNumber of Blocks = 46
Data extraction page 
Data insightsData Insights that Can Be Drawn:Trends Analysis: Identification of trends in infant mortality over the years.Geographical Variation: Analysis of infant deaths variation across different districts and blocks, highlighting regions with higher mortality rates.Policy Impact: Assessment of the effectiveness of health policies and interventions over time.Resource Allocation: Guiding the allocation of healthcare resources and services to areas most in need.Healthcare Challenges Identification: Identification of specific healthcare challenges faced in different regions.
Data last updated2,023
Data retreival date29-09-2023
Datastore activeTrue
District no11
GranularityBlock
Has viewsTrue
Id1e9d0aa2-c263-4809-8a33-a87cc7465617
Idp readyTrue
MethodologyData is provided by the government of Meghalya
No indicators1
Package idc089ae01-7d72-43e8-b906-d7180713be97
Position11
Skuinfant_deaths
Stateactive
States uts no1
Url typeupload
Years covered2021-2023
创建的1年前
Methodology Data is provided by the government of Meghalya
Similar Resources
Granularity Level Block
Data Extraction Page  
Data Retreival Date 29-09-2023
Data Last Updated 2023
Sku infant_deaths
Dataset Frequency
Years Covered 2021-2023
No of States/UT(s) 1
No of Districts 11
No of Tehsils/blocks
No of Gram Panchayats
其他信息 Number of Blocks = 46
Number of Indicators 1
Insights from the dataset Data Insights that Can Be Drawn:Trends Analysis: Identification of trends in infant mortality over the years.Geographical Variation: Analysis of infant deaths variation across different districts and blocks, highlighting regions with higher mortality rates.Policy Impact: Assessment of the effectiveness of health policies and interventions over time.Resource Allocation: Guiding the allocation of healthcare resources and services to areas most in need.Healthcare Challenges Identification: Identification of specific healthcare challenges faced in different regions.
IDP Ready Yes