Aadhaar Saturation Report
The "Aadhaar Saturation Report" offers a comprehensive overview of Aadhaar card distribution and coverage in Meghalaya, showcasing the penetration and impact of the UIDAI initiative within the state. It provides valuable insights into the extent of Aadhaar adoption among residents of Meghalaya across different age groups, shedding light on the program's effectiveness and reach in the region.
Data Dictionary
Column | Type | Label | Description |
---|---|---|---|
id | int4 | index | |
date | date | Date | |
state_name | text | State(s) | |
state_code | text | State Code | |
age_bucket | text | Age Group | |
population | numeric | Projected Population | |
num_of_aadhar_assigned | numeric | Aadhar cards issued |
Additional Information
Field | Value |
---|---|
Data last updated | June 5, 2024 |
Metadata last updated | June 5, 2024 |
Created | unknown |
Format | CSV |
License | Open Data Commons Attribution License |
Created | 8 months ago |
Frequency | One Time |
Media type | text/csv |
Size | 291 |
Additional info | nan |
Data extraction page | Annexure - Aadhaar Saturation report (Annual Reports - Unique Identification Authority of India | Government of India (uidai.gov.in)) |
Data insights | Certainly! Here are the updated data insights that can be drawn from the Aadhaar Saturation Report dataset for Meghalaya: 1. Temporal Distribution: Analysis of the 'date' column enables understanding the temporal distribution patterns of Aadhaar card issuance, revealing the rate of distribution over time and identifying any notable trends. 2. Regional Dissemination: Utilizing the 'state_name' and 'state_code' columns allows for assessing the variance in Aadhaar card saturation across different states, highlighting regions with higher or lower levels of coverage within Meghalaya. 3. Age Group Penetration: The 'age_bucket' column facilitates an analysis of the distribution and adoption of Aadhaar cards amongst diverse age groups, offering insights into the program's reach across different demographic segments within the state. |
Data last updated | 2022-05-31 00:00:00 |
Data retreival date | 2023-06-10 00:00:00 |
Datastore active | True |
Granularity | State |
Has views | True |
Id | 2ee8303b-1956-4f42-8611-bf1ccd8e2cb2 |
Idp ready | False |
Methodology | The dataset is sourced from the "Annexure - Aadhaar Saturation report" in the annual reports published by the Unique Identification Authority of India (UIDAI). UIDAI, under the Government of India, collates this data based on the Aadhaar card enrollments and their internal projected population figures. These figures help in assessing the percentage saturation of Aadhaar cards in the specified region for the given date. |
No indicators | 2 |
Package id | 7b7ead80-038b-4362-afac-d65611f44209 |
Position | 0 |
Sku | meity-uidai_aadhaar_saturation-st-ot-meg |
State | active |
States uts no | 36 |
Tags | ['UIDAI', 'Aadhaar', 'Regional Analysis', 'Demographics', 'Saturation Report', 'Age Group Analysis'] |
Url type | upload |
Years covered | 2,022 |
Methodology | The dataset is sourced from the "Annexure - Aadhaar Saturation report" in the annual reports published by the Unique Identification Authority of India (UIDAI). UIDAI, under the Government of India, collates this data based on the Aadhaar card enrollments and their internal projected population figures. These figures help in assessing the percentage saturation of Aadhaar cards in the specified region for the given date. |
Similar Resources | |
Granularity Level | State |
Data Extraction Page | Annexure - Aadhaar Saturation report (Annual Reports - Unique Identification Authority of India | Government of India (uidai.gov.in)) |
Data Retreival Date | 2023-06-10 00:00:00 |
Data Last Updated | 2022-05-31 00:00:00 |
Sku | meity-uidai_aadhaar_saturation-st-ot-meg |
Dataset Frequency | |
Years Covered | 2022.0 |
No of States/UT(s) | 36 |
No of Districts | |
No of Tehsils/blocks | |
No of Gram Panchayats | |
Additional Information | nan |
Number of Indicators | 2 |
Insights from the dataset | Certainly! Here are the updated data insights that can be drawn from the Aadhaar Saturation Report dataset for Meghalaya: 1. Temporal Distribution: Analysis of the 'date' column enables understanding the temporal distribution patterns of Aadhaar card issuance, revealing the rate of distribution over time and identifying any notable trends. 2. Regional Dissemination: Utilizing the 'state_name' and 'state_code' columns allows for assessing the variance in Aadhaar card saturation across different states, highlighting regions with higher or lower levels of coverage within Meghalaya. 3. Age Group Penetration: The 'age_bucket' column facilitates an analysis of the distribution and adoption of Aadhaar cards amongst diverse age groups, offering insights into the program's reach across different demographic segments within the state. |
IDP Ready | No |