Let me know when the data is updated again

Company in México

URBANIZADORA Y EDIFICADORA RAMCA SA DE CV

SHARE

The copied or shared URL is the exact current page, including any filters applied if you are in the search.
REPORT

What do you want to report?

Summary of contract activity as supplier

4 contract as supplier for a total of 11.7 millones (11,722,786.125 ) between 2017 and 2018.

Annual evolution of contract

Procedure type

Main entities

Comité Técnico para la Licitación de Obras Públicas ( from Secretaría de Obras Públicas )

Dirección de Obras Públicas ( from Presidencia Municipal de Victoria )

Largest contract

SOP-IF-MV-009-17-P

Rehab. de Pavimento Asf. av. la Unidad col. Ignacio Zaragoza

Bacheo de calles con espesor de 10cm.

See all contract of this supplier

Location

Country

México

GENERAL INFORMATION

Entity type

profit

Identifiers

RFC: UER1503117Y9

Date updated in QQW

24 de enero de 2019

Source(s)

CompraNet (Plus)

Part of the project

TodosLosContratos.mx

Organization responsible for the import

PODER

Note: CSV download is temporarily disabled due to the server migration. Please use the JSON format to import the data.

Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.

R (json)

Add this to your code:



                        library(rjson) 

                        #Read JSON data into R  

                        data <- fromJSON(file="http://localhost:10010/v3/companies?limit=1&sort=&embed=true&db_prefix=&id=urbanizadora-y-edificadora-ramca-sa-de-cv")

Python (json)

Add this to your code:


                        import json, urllib 


                        #Read JSON data into python  

                        response = urllib2.urlopen('http://localhost:10010/v3/companies?limit=1&sort=&embed=true&db_prefix=&id=urbanizadora-y-edificadora-ramca-sa-de-cv')   

                        data = json.loads(response.read())

Python (pandas, json)

Add this to your code:


                        import pandas as pd 


                        #Read JSON data into pandas  

                        df = pd.read_json('http://localhost:10010/v3/companies?limit=1&sort=&embed=true&db_prefix=&id=urbanizadora-y-edificadora-ramca-sa-de-cv')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

URBANIZADORA Y EDIFICADORA RAMCA SA DE CV

Summary of contract activity as supplier

Annual evolution of contract

Procedure type

Main entities

Largest contract

Location

GENERAL INFORMATION

Import and use data

Customize cookie preferences