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Description
TALLA 30.5, VOL. I, CEDULA 46.
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.005.4168.00
Each circle represents one of the 9 purchases of CALZADO PARA MEDICO RESIDENTE made by the IMSS between 2009 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Oficinas Centrales Almacen De Programas Especiales Y Red Fria | 4 | 3,553.2 MXN | 490.1 MXN | 16 % | 2.24 | 6 de mayo de 2011 | |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 313.2 MXN | 43.2 MXN | 16 % | 0.16 | 21 de septiembre de 2015 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 1,421.2 MXN | 185.4 MXN | 15 % | 0.9 | 20 de mayo de 2009 |
| Delegación Veracruz Sur Almacen Delegacional En Veracruz Sur | Veracruz | 1 | 236.9 MXN | 30.9 MXN | 15 % | 0.15 | 1 de enero de 2009 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 236.9 MXN | 30.9 MXN | 15 % | 0.15 | 1 de enero de 2009 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 6,561 MXN | 905 MXN | 16 % | 4.48 | 15 de noviembre de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABAMCU, S. A. DE C. V. | 4 | 490.1 MXN | 16 % | 2.24 | 2011 - 2011 |
| EXIMEX, S.A. DE C.V. | 3 | 247.2 MXN | 15 % | 1.2 | 2009 - 2009 |
| BECESA, S. A. DE C. V. | 2 | 948.2 MXN | 16 % | 4.64 | 2012 - 2015 |
Entity type
Ropa contractual
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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Add this to your code:
library(rjson)
#Read JSON data into R
data <- fromJSON(file="http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=210.005.4168.00")
Add this to your code:
import json, urllib
#Read JSON data into python
response = urllib2.urlopen('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=210.005.4168.00')
data = json.loads(response.read())
Add this to your code:
import pandas as pd
#Read JSON data into pandas
df = pd.read_json('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=210.005.4168.00')