New Disability Card Applications Details
The dataset contains information on new disability card applications in different districts of Himachal Pradesh. It includes data on the state name, state code, district name, district code, month, key performance indicator (KPI), total applications received, number of UDID cards approved, number of rejected applications, number of pending applications, and the percentage of pending applications.
Data Dictionary
| Column | Type | Label | Description |
|---|---|---|---|
| state_name | text | Name of State | |
| state_code | text | LGD code of State | |
| percentage_pendency | numeric | Percentage of pending applications (may contain null values) | |
| district_name | text | Name of District | |
| district_code | text | LGD code of District | |
| month | text | Month of the data | |
| kpi | text | Key Performance Indicator (related to disability card) | |
| total_applications | numeric | Total number of disability card applications received | |
| udid_card_approved | numeric | Number of UDID cards approved | |
| rejected | numeric | Number of rejected applications | |
| pending_applications | numeric | Number of pending applications | |
| id | int4 |
Additional Information
| Field | Value |
|---|---|
| Data last updated | August 11, 2023 |
| Metadata last updated | August 11, 2023 |
| Created | June 23, 2023 |
| Format | CSV |
| License | Open Data Commons Attribution License |
| Additional info | nan |
| Data insights | Some general insights that could potentially be derived from the dataset: Analyzing the new disability card application process in different districts and months. Assessing the total number of applications received and the number of applications approved, rejected, and pending. Evaluating the percentage of pending applications as an indicator of the processing status. Identifying any trends or patterns in the application numbers and approval rates over time. |
| Data last updated | 2023-04-01 00:00:00 |
| Data retreival date | 2,023 |
| Datastore active | True |
| District no | 12 |
| Frequency | Monthly |
| Granularity | District |
| Has views | True |
| Id | 340185f1-8fa7-47e8-abdc-b293069b0bc6 |
| Idp ready | False |
| Mimetype | text/csv |
| No indicators | 5 |
| Package id | 94cd2188-9420-46f5-9d1d-51fe4fc750e4 |
| Position | 8 |
| Size | 42.6 KiB |
| State | active |
| States uts no | 1 |
| Url type | upload |
| Years covered | 2018-2023 |
| Methodology | |
| Similar Resources | |
| Granularity Level | District |
| Data Extraction Page | |
| Data Retreival Date | 2023 |
| Data Last Updated | 2023-04-01 00:00:00 |
| Sku | |
| Dataset Frequency | Monthly |
| Years Covered | 2018-2023 |
| No of States/UT(s) | 1 |
| No of Districts | 12 |
| No of Tehsils/blocks | |
| No of Gram Panchayats | |
| Additional Information | nan |
| Number of Indicators | 5 |
| Insights from the dataset | Some general insights that could potentially be derived from the dataset: Analyzing the new disability card application process in different districts and months. Assessing the total number of applications received and the number of applications approved, rejected, and pending. Evaluating the percentage of pending applications as an indicator of the processing status. Identifying any trends or patterns in the application numbers and approval rates over time. |
| IDP Ready | No |