Services provided by WCD and there status Details
The dataset contains information related to the WCD department in Himachal Pradesh. It includes details such as district name, district ID, block name, block ID, filling date, transaction date, service name, service ID, number of approved cases, number of pending cases, and number of rejected claims. The dataset aims to track and manage the services the WCD department provides and monitor the approval status for various cases.
Data Dictionary
Column | Type | Label | Description |
---|---|---|---|
state_name | text | Name of State | |
state_code | text | LGD Code of States | |
approved | numeric | Number of cases approved for the service. | |
pending | numeric | Number of cases pending for approval. | |
rejected | numeric | Number of cases rejected. | |
district_name | text | Name of District | |
district_code | text | LGD Code of District | |
block_name | text | Name of the block within the district. | |
block_code | text | LGD Code of Block | |
filling_date | text | Date when the case was filled. | |
trans_date | text | Transaction date related to the case. | |
service_name | text | Name of the service provided by the WCD department. | |
service_id | numeric | Unique identifier for the service. | |
id | int4 |
Additional Information
Field | Value |
---|---|
Data last updated | August 11, 2023 |
Metadata last updated | August 11, 2023 |
Created | June 19, 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: Analysis of the number of approved, pending, and rejected cases for different services provided by the WCD department, Evaluation of the efficiency of the department in processing and approving cases, Identification of the districts or blocks with the highest number of approved or pending cases, Assessment of the turnaround time for case approvals and identification of any delays or bottlenecks, Comparison of the number of rejected cases across different services and areas to identify potential issues or discrepancies. |
Data last updated | nan |
Data retreival date | 2,023 |
Datastore active | True |
District no | 12 |
Frequency | Monthly |
Granularity | Block |
Has views | True |
Id | acba094d-c7e9-4781-8c7c-347d2cf0d440 |
Idp ready | False |
Mimetype | text/csv |
No indicators | 3 |
Package id | 4af52a31-2b8b-42aa-a2fe-d1e26d19f779 |
Position | 0 |
Size | 658.4 KiB |
State | active |
States uts no | 1 |
Tehsil no | 75 |
Url type | upload |
Years covered | 2020-2023 |
Methodology | |
Similar Resources | |
Granularity Level | Block |
Data Extraction Page | |
Data Retreival Date | 2023 |
Data Last Updated | nan |
Sku | |
Dataset Frequency | Monthly |
Years Covered | 2020-2023 |
No of States/UT(s) | 1 |
No of Districts | 12 |
No of Tehsils/blocks | 75 |
No of Gram Panchayats | |
Additional Information | nan |
Number of Indicators | 3 |
Insights from the dataset | Some general insights that could potentially be derived from the dataset: Analysis of the number of approved, pending, and rejected cases for different services provided by the WCD department, Evaluation of the efficiency of the department in processing and approving cases, Identification of the districts or blocks with the highest number of approved or pending cases, Assessment of the turnaround time for case approvals and identification of any delays or bottlenecks, Comparison of the number of rejected cases across different services and areas to identify potential issues or discrepancies. |
IDP Ready | No |