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
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

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
Size8,786
Additional infoNumber of Blocks = 46
Data extraction page 
Data insightsGeographical 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 updated2,023
Data retreival date29-09-2023
Datastore activeTrue
District no11
GranularityBlock
Has viewsTrue
Idf924daa7-6570-4dbb-870b-604a153d573f
Idp readyTrue
MethodologyData is provided by the government of Meghalya
No indicators3
Package idc089ae01-7d72-43e8-b906-d7180713be97
Position2
Skumother_high_risk
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_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
Additional Information 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