Data Dictionary

Column အမျိုးအစား အညွှန်း ဖော်ပြချက်
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

နောက်ဆက်တွဲ သတင်းအချက်အလက်များ

Field တန်ဖိုး
နောက်ဆုံး ပြင်ဆင်ခဲ့သော ဒေတာ 2023- နိုဝင်ဘာ 17
နောက်ဆုံး ပြင်ဆင်ခဲ့သော metadata 2023- နိုဝင်ဘာ 17
ဖန်တီးခဲ့သော အချိန် အမည်မသိ/ မသိရှိပါ။
ပုံစံ CSV
လိုင်စင် Open Data Commons Attribution License
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
ဖန်တီးခဲ့သော အချိန်ပြီးခဲ့သည့် 1 နှစ်
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
နောက်ဆက်တွဲ သတင်းအချက်အလက်များ 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