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
total_ancs_of_mothers	numeric	Number of ANC done
no_of_mothers	numeric	Number of Mothers

其他信息

域	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
Frequency	Yearly
Media type	text/csv
Size	8,127
Additional info	Number of Blocks = 46
Data extraction page
Data insights	Several insights can be extracted, such as:Trends in ANC Services: Analyzing how ANC services have changed over time at various administrative levels.Geographical Disparities: Identifying regions with higher or lower ANC utilization, indicating areas needing more healthcare resources or successful intervention strategies.Yearly and Regional Comparisons: Comparing ANC service uptake across different years and regions to assess the impact of health policies and programs.Correlation with Health Outcomes: By integrating this data with other health datasets, one can examine the correlation between ANC frequency and maternal or infant health outcomes.
Data last updated	2,023
Data retreival date	29-09-2023
Datastore active	True
District no	11
Granularity	Block
Has views	True
Id	4a7a7d36-d602-457b-a9a1-6856a79b09ad
Idp ready	True
Methodology	Data is provided by the government of Meghalya
No indicators	2
Package id	c089ae01-7d72-43e8-b906-d7180713be97
Position	1
Sku	mother_anc_done
State	active
States uts no	1
Url type	upload
Years covered	2021-2023
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	mother_anc_done
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	2
Insights from the dataset	Several insights can be extracted, such as:Trends in ANC Services: Analyzing how ANC services have changed over time at various administrative levels.Geographical Disparities: Identifying regions with higher or lower ANC utilization, indicating areas needing more healthcare resources or successful intervention strategies.Yearly and Regional Comparisons: Comparing ANC service uptake across different years and regions to assess the impact of health policies and programs.Correlation with Health Outcomes: By integrating this data with other health datasets, one can examine the correlation between ANC frequency and maternal or infant health outcomes.
IDP Ready	Yes