Let me know when the data is updated again

Expediente

INSTALACION DE 100 TINACOS REFORZADOS DE 10 000 LITROS PARA ALMACENAMIENTO DE AGUA PARA CONSUMO HUMANO EN

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?

RECORD SUMMARY ocds-0ud2q6-PDZPZAC2-001

Total amount

198,500

Number of contracts

Buying unit

DELEGACIÓN ZACATECAS belonging to SECRETARÍA DE DESARROLLO SOCIAL

PLANNING

No data

CALL FOR TENDERS

Government agency

SECRETARÍA DE DESARROLLO SOCIAL

Buying unit

DELEGACIÓN ZACATECAS

Call type

ADJUDICACION DIRECTA (direct)

Call status

complete

AWARDS AND CONTRACTS

Awarded contract code PDZPZAC2-001

Title

INSTALACION DE 100 TINACOS REFORZADOS DE 10 000 LITROS PARA ALMACENAMIENTO DE AGUA PARA CONSUMO HUMANO EN

View contract

Supplier(s)

ING. DAVID CHAVEZ MOLINA

Amount

198,500 pesos mexicanos

Award status

active

Signature date

14 de febrero de 2012

Execution period

20 de febrero de 2012 to 20 de marzo de 2012

Official documents

See awardNotice 1 on official site www.portaltransparencia.gob.mx

This contract is (terminated)

IMPLEMENTATION

No data

GENERAL INFORMATION

Date updated in QQW

9 de mayo de 2021

Source(s)

Portal de Obligaciones de Transparencia (POT)

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/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-PDZPZAC2-001")

Python (json)

Add this to your code:


                        import json, urllib 


                        #Read JSON data into python  

                        response = urllib2.urlopen('http://localhost:10010/v3/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-PDZPZAC2-001')   

                        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/record?limit=1&sort=&embed=true&db_prefix=&ocid=ocds-0ud2q6-PDZPZAC2-001')

Let me know when the data is updated again

Thank you. Help us with a few quick questions:

INSTALACION DE 100 TINACOS REFORZADOS DE 10 000 LITROS PARA ALMACENAMIENTO DE AGUA PARA CONSUMO HUMANO EN

RECORD SUMMARY ocds-0ud2q6-PDZPZAC2-001

PLANNING

CALL FOR TENDERS

AWARDS AND CONTRACTS

IMPLEMENTATION

GENERAL INFORMATION

Import and use data

Customize cookie preferences