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
block_name	text	Block Name
block_code	text	Block Code
infant_deaths	numeric	Number of Infant Deaths

Additional Information

Field	Value
Data last updated	November 17, 2023
Metadata last updated	November 17, 2023
Created	unknown
Format	CSV
License	Open Data Commons Attribution License
Created	1 year ago
Frequency	Yearly
Media type	text/csv
Size	5,923
Additional info	Number of Blocks = 46
Data extraction page
Data insights	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.
Data last updated	2,023
Data retreival date	29-09-2023
Datastore active	True
District no	11
Granularity	Block
Has views	True
Id	1e9d0aa2-c263-4809-8a33-a87cc7465617
Idp ready	True
Methodology	Data is provided by the government of Meghalya
No indicators	1
Package id	c089ae01-7d72-43e8-b906-d7180713be97
Position	11
Sku	infant_deaths
State	active
States uts no	1
Url type	upload
Years covered	2021-2023
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
Additional Information	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