የመረጃ መዝገበ-ቃላት

አምድ	አይነት	መለዮ	መግለጫ
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
high_risk_mothers	numeric	Number of Mothers with High Risk
high_risk_mothers_percentage	numeric	Percentage of Mothers with High Risk
deliveries_expected	numeric	Expected Number of Deliveries

ተጭማሪ መረጃ

መስክ	ዋጋ
መረጃው መጨረሻ የተሻሻለው	17 ኖቬምበር 2023
ልዕለ-መረጃ ለመጨረሻ ጊዜ የተሻሻለው	17 ኖቬምበር 2023
ተፈጥሯል	ያልታወቀ
ቅርጸት	CSV
ፈቃድ	Open Data Commons Attribution License
Frequency	Yearly
Media type	text/csv
Size	8,786
Additional info	Number of Blocks = 46
Data extraction page
Data insights	Geographical Variations: Analysis of the dataset can reveal geographical variations in high-risk pregnancies across different districts and blocks in Meghalaya.Trends Over Time: By examining data across different years, trends and changes in the prevalence of high-risk pregnancies can be identified.Resource Allocation: Insights regarding the allocation of healthcare resources, especially in areas with higher percentages of high-risk mothers, can be drawn.Policy Making: The dataset can inform policymakers about the effectiveness of current health policies and where new or revised policies might be needed.Public Health Analysis: Researchers and public health officials can use the data to study correlations between high-risk pregnancies and other socio-economic or environmental factors.
Data last updated	2,023
Data retreival date	29-09-2023
Datastore active	True
District no	11
Granularity	Block
Has views	True
Id	f924daa7-6570-4dbb-870b-604a153d573f
Idp ready	True
Methodology	Data is provided by the government of Meghalya
No indicators	3
Package id	c089ae01-7d72-43e8-b906-d7180713be97
Position	2
Sku	mother_high_risk
State	active
States uts no	1
Url type	upload
Years covered	2021-2023
ተፈጥሯል	ከ1 ዓመት በፊት
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	mother_high_risk
Dataset Frequency
Years Covered	2021-2023
No of States/UT(s)	1
No of Districts	11
No of Tehsils/blocks
No of Gram Panchayats
ተጭማሪ መረጃ	Number of Blocks = 46
Number of Indicators	3
Insights from the dataset	Geographical Variations: Analysis of the dataset can reveal geographical variations in high-risk pregnancies across different districts and blocks in Meghalaya.Trends Over Time: By examining data across different years, trends and changes in the prevalence of high-risk pregnancies can be identified.Resource Allocation: Insights regarding the allocation of healthcare resources, especially in areas with higher percentages of high-risk mothers, can be drawn.Policy Making: The dataset can inform policymakers about the effectiveness of current health policies and where new or revised policies might be needed.Public Health Analysis: Researchers and public health officials can use the data to study correlations between high-risk pregnancies and other socio-economic or environmental factors.
IDP Ready	Yes