Nepal: Public Procurement Monitoring Office (PPMO)
The PPMO tracks information in the Public Procurement Transparency Initiative in Nepal (PPTIN) portal, which pulls data from Nepal’s e-GP system.
All public entities are obliged to use the e-GP system.
- Available formats:
- JSON
- Excel
- CSV
Overview
- Data date range:
- May 2016 - Aug 2018 (This dataset is no longer updated by the publisher)
- Update frequency:
- -
- Main language:
- English
- OCID prefix:
- ocds-rw2stw
- License:
- -
- Publication policy:
- -
- Last retrieved:
- Mar 2023
- Retrieved from:
- http://ppip.gov.np/downloads
Data available
Parties
- Count of parties:
- 4,872
Planning
- Count of planning activities:
- 4,872
Tenders
- Count of tenders:
- 4,872
- Count of tenderers:
- 0
- Count of tender items:
- 0
Awards
- Count of awards:
- 0
- Count of suppliers:
- 0
- Count of award items:
- 0
Contracts
- Count of contracts:
- 0
- Count of contract items:
- 0
- Count of transactions:
- 0
Documents
- Count of documents:
- 0
Milestones
- Count of milestones:
- 0
Amendments
- Count of amendments:
- 0
Nepal publishes data in OCDS 1.0 format including some additional fields from OCDS 1.1 and the requirements extension.
Data quality
We have not yet prepared a data quality summary for this dataset.
Access data
This OCDS dataset is available for download in JSON, Excel or CSV format. You can download the data for contracting processes in a specific year or for all time.
JSON
Each contracting process is represented as one line of JSON text in the .jsonl file.
The .jsonl file is compressed using Gzip. Windows users need 7-Zip, WinRAR or WinZip to decompress the .gz file.
Excel
Each contracting process is represented as one row in the main sheet. Other sheets link to it via the main_ocid column. In general, each sheet is linked to its parent sheet via the [sheet_name]_id column.
Excel files can have at most 1,048,576 rows. If a year is missing, it had too many rows. Download the CSV files, instead.
CSV
Each contracting process is represented as one row in the main.csv file. Other files link to it via the main_ocid column. In general, each file is link to its parent file via the [file_name]_id column.
The .csv files are archived using tar and compressed using Gzip. Windows users need 7-Zip, WinRAR or WinZip to decompress the .tar.gz file.