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May 2016 - Aug 2018 (This dataset is no longer updated by the publisher)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

A contracting process has several stages: tendering, awarding, contracting and implementation. You can learn about the contracting stages in this tutorial.

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

Summary

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 _link_main 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 _link_main 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.

Do you have any questions or feedback on this dataset or any other content on this page?