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Description
IMPRESION EN SECO 14 X 17 PULGADAS ( 35 X 43 CM) BASE AZUL (DT2 B), NÚMERO DE CATÁLOGO: EKL9M, PARA SU USO EN EL EQUIPO: CLAVE 531 493 0081 IMPRESORA TERMICA DIRECTA EN SECO BLANCO Y NEGRO
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.687.1089.00
Presentation
CAJA CON 100 PELICULAS.
Each circle represents one of the 98 purchases of PELICULA made by the IMSS between 2009 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 25 | 4.4 millones MXN | 395,413.1 MXN | 11.6 % | 82 | 10 de diciembre de 2018 |
| Delegación Baja California | Baja California | 20 | 364,834.5 MXN | - MXN | - | - | 25 de julio de 2016 |
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 12 | 1.2 millones MXN | 151,771.2 MXN | 17.8 % | 34.4 | 5 de julio de 2018 |
| H. de Pediatría, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco. Umae Pediatria Jalisco | Jalisco | 11 | 704,782.5 MXN | 208,772.3 MXN | 39.1 % | 48.3 | 11 de septiembre de 2015 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 8 | 21.9 millones MXN | 5.3 millones MXN | 32.9 % | 1,007.6 | 27 de junio de 2018 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 7 | 54.1 millones MXN | 4.6 millones MXN | 7.54 % | 928.1 | 3 de diciembre de 2018 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 5 | 808,346.2 MXN | 198,744.9 MXN | 33.8 % | 44.3 | 5 de julio de 2012 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 3 | 14.8 millones MXN | 3.7 millones MXN | 33.3 % | 687.9 | 30 de octubre de 2018 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 2 | 248,663.3 MXN | 8,205.2 MXN | 20.8 % | 1.81 | 28 de junio de 2016 |
| Delegación Sinaloa | Sinaloa | 2 | 41,586 MXN | 10,125.8 MXN | 32.2 % | 2.24 | 16 de mayo de 2016 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 2.7 millones MXN | - MXN | - | - | 30 de agosto de 2018 |
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 1 | 3.1 millones MXN | 548,052.9 MXN | 21.1 % | 101.3 | 13 de junio de 2018 |
| Delegación Nayarit Almacen Delegacional En Nayarit | Nayarit | 1 | 189,312 MXN | 37,378.9 MXN | 24.6 % | 8.36 | 22 de octubre de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CIA. NACIONAL ASOCIADOS, S.A. | 30 | 20,672.8 MXN | 0.472 % | 5.23 | 2010 - 2016 |
| RELIABLE DE MEXICO, S. A. DE C. V. | 29 | 8.2 millones MXN | 19.4 % | 1,634.8 | 2009 - 2018 |
| PRODUCTOS STANTON, S. A. DE C. V. | 8 | 6.3 millones MXN | 17.4 % | 1,172.3 | 2017 - 2018 |
| PROMEDICA GARCIA, S. A. DE C. V. | 6 | 171,553.1 MXN | 50.3 % | 39.7 | 2013 - 2015 |
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 5 | 175,865.2 MXN | 43 % | 39 | 2011 - 2012 |
| DIMEYRA, S. DE R.L. DE C.V. | 5 | 36,585.9 MXN | 18.4 % | 8.22 | 2011 - 2016 |
| LABZ DISTRIBUIDORA MEDICA, S.A. DE C.V. | 5 | 62,593.3 MXN | 12.7 % | 14.2 | 2014 - 2016 |
| ALMANZA VELAZQUEZ ROBERTO | 2 | 25,175.7 MXN | 36.3 % | 5.81 | 2012 - 2012 |
| SAINZ ROSAS LUIS CARLOS | 2 | 35,548.2 MXN | 34.8 % | 8.64 | 2013 - 2014 |
| SUEP, S.A. DE C.V. | 2 | 47,682 MXN | 10.1 % | 9.11 | 2011 - 2017 |
| FUJIFILM DE MEXICO, S. A. DE C. V. | 1 | 5,918.7 MXN | 27 % | 1.62 | 2010 - 2010 |
| PEREZ DE ANDA MARIA DEL CARMEN | 1 | 2,741.1 MXN | 1.21 % | 0.604 | 2011 - 2011 |
| Proveedor local no identificado (Compra Emergente) | 1 | - MXN | - | - | 2014 - 2014 |
| SERVICIOS E INSUMOS INSTITUCIONALES DEL NOROESTE D | 1 | 31,136.9 MXN | 89.8 % | 7.18 | 2012 - 2012 |
Entity type
Consumibles de equipos medicos y de laboratorio
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=379.687.1089.00")
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=379.687.1089.00')
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=379.687.1089.00')