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Description
TALLA 22.0, VOL. I, CEDULA 47.
Classification
Ropa y Telas. Ropa contractual
IMSS product code
210.005.4242.00
Each circle represents one of the 10 purchases of CALZADO PARA MEDICA 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 | 8,436.3 MXN | 1,163.6 MXN | 16.1 % | 5.6 | 11 de octubre de 2011 | |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 3 | 19,577.4 MXN | 2,446.7 MXN | 8.12 % | 12.3 | 8 de septiembre de 2015 | |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 1,508 MXN | 273 MXN | 22.1 % | 1.11 | 21 de septiembre de 2015 |
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 1 | 533.6 MXN | 299.5 MXN | 127.9 % | 1.28 | 17 de mayo de 2012 |
| Delegación Sur del DF Almacen Delegacional En El D.f. Zona Sur | Ciudad de México | 1 | 886.4 MXN | 115.6 MXN | 15 % | 0.6 | 25 de mayo de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BECESA, S. A. DE C. V. | 5 | 2,892.9 MXN | 12.6 % | 14.3 | 2011 - 2015 |
| ABAMCU, S. A. DE C. V. | 3 | 990.4 MXN | 15.9 % | 4.77 | 2011 - 2011 |
| BECERRA OVANDO JUAN PABLO | 1 | 115.6 MXN | 15 % | 0.6 | 2009 - 2009 |
| MANTENIMIENTO PREVENTIVO Y CORRECTIVO SA DE CV | 1 | 299.5 MXN | 127.9 % | 1.28 | 2012 - 2012 |
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=210.005.4242.00")
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=210.005.4242.00')
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=210.005.4242.00')