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
category text Type of Pregenancy
pregnant_women numeric Number of Pregnant Women
pregnant_women_percentage numeric Percentage of pregnant women
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
Size18,857
Additional infoNumber of Blocks = 46
Data extraction pagenan
Data insightsTrends Over Years: Analyzing the dataset over different years can reveal trends in the number of pregnant women, variations in percentages, and changes in the number of expected deliveries. Geographical Patterns: Examining the data at the state, district, and block levels can provide insights into geographical variations in pregnancy rates and healthcare needs. Teenage vs. Adult Pregnancies: The 'category' column can be used to compare the prevalence of teenage and adult pregnancies, shedding light on potential areas for targeted interventions.Healthcare Planning: The 'deliveries_expected' column is crucial for understanding the healthcare infrastructure's demands in different blocks, aiding in resource allocation and planning.
Data last updated2,023
Data retreival date2023-09-29 00:00:00
Datastore activeTrue
District no11
GranularityBlock
Has viewsTrue
Id58c6af6c-03e2-4c7c-9a33-b2f996c5a6d2
Idp readyTrue
MethodologyData is provided by the government of Meghalya
No indicators3
Package idc089ae01-7d72-43e8-b906-d7180713be97
Position6
Skupregenant_women
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 nan
Data Retreival Date 2023-09-29 00:00:00
Data Last Updated 2023
Sku pregenant_women
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 Trends Over Years: Analyzing the dataset over different years can reveal trends in the number of pregnant women, variations in percentages, and changes in the number of expected deliveries. Geographical Patterns: Examining the data at the state, district, and block levels can provide insights into geographical variations in pregnancy rates and healthcare needs. Teenage vs. Adult Pregnancies: The 'category' column can be used to compare the prevalence of teenage and adult pregnancies, shedding light on potential areas for targeted interventions.Healthcare Planning: The 'deliveries_expected' column is crucial for understanding the healthcare infrastructure's demands in different blocks, aiding in resource allocation and planning.
IDP Ready Yes