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
number_of_children_underweight	numeric	Number of Childrens Underweight
percent_of_children_underweight	numeric	Percentage of Childrens Underweight

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	8,010
Additional info	Number of Blocks = 46
Data extraction page
Data insights	Several insights can be drawn:Trends in child underweight percentages over the years.Geographical distribution of underweight children across different states, districts, and blocks in Meghalaya.Identification of areas with higher prevalence of underweight children, indicating regions that may require more focused health and nutrition programs.Comparison of underweight trends between different administrative regions, helping in assessing the effectiveness of regional health policies and programs.
Data last updated	2,023
Data retreival date	29-09-2023
Datastore active	True
District no	11
Granularity	Block
Has views	True
Id	9dca8e58-02fc-4583-a73f-08845c573459
Idp ready	True
Methodology	Data is provided by the government of Meghalya
No indicators	2
Package id	c089ae01-7d72-43e8-b906-d7180713be97
Position	10
Sku	children_underweight
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	children_underweight
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	2
Insights from the dataset	Several insights can be drawn:Trends in child underweight percentages over the years.Geographical distribution of underweight children across different states, districts, and blocks in Meghalaya.Identification of areas with higher prevalence of underweight children, indicating regions that may require more focused health and nutrition programs.Comparison of underweight trends between different administrative regions, helping in assessing the effectiveness of regional health policies and programs.
IDP Ready	Yes