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
total_ancs_of_mothers numeric Number of ANC done
no_of_mothers numeric Number of Mothers

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
Created1 year ago
FrequencyYearly
Media typetext/csv
Size8,127
Additional infoNumber of Blocks = 46
Data extraction page 
Data insightsSeveral 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 updated2,023
Data retreival date29-09-2023
Datastore activeTrue
District no11
GranularityBlock
Has viewsTrue
Id4a7a7d36-d602-457b-a9a1-6856a79b09ad
Idp readyTrue
MethodologyData is provided by the government of Meghalya
No indicators2
Package idc089ae01-7d72-43e8-b906-d7180713be97
Position1
Skumother_anc_done
Stateactive
States uts no1
Url typeupload
Years covered2021-2023
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 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
Additional Information 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