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
type_of_regisration text Medium of Registration
registered_in_first_tri numeric Registrations in first trimester
registered_in_second_tri numeric Registrations in second trimester
registered_in_third_tri numeric Registrations in third trimester

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
Created10 months ago
FrequencyYearly
Media typetext/csv
Size19,165
Additional infoNumber of Blocks = 46
Data extraction pagenan
Data insightsInsights that can be drawn from this dataset include trends in the number of registrations over the years, geographical distribution across states, districts, and blocks, as well as variations in registration patterns among trimesters. This dataset can be analyzed to understand the effectiveness of the registration process through the Mother App and identify areas or timeframes that may require targeted interventions or improvements.
Data last updated2,023
Data retreival date2023-09-29 00:00:00
Datastore activeTrue
District no11
GranularityBlock
Has viewsTrue
Id8c161f15-67b9-43b3-b4f8-88eb4dd384d8
Idp readyTrue
MethodologyData is provided by the government of Meghalya
No indicators3
Package idc089ae01-7d72-43e8-b906-d7180713be97
Position5
Skumothers_reg_reporting
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 mothers_reg_reporting
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 Insights that can be drawn from this dataset include trends in the number of registrations over the years, geographical distribution across states, districts, and blocks, as well as variations in registration patterns among trimesters. This dataset can be analyzed to understand the effectiveness of the registration process through the Mother App and identify areas or timeframes that may require targeted interventions or improvements.
IDP Ready Yes