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List of 2.1 millones from purchase, empresas, proveedores, material médico, artículos de consumo, ropa y telas, medicinas y vacunas, mobiliario, instituciones públicas, funcionarios in 40 geographic areas.

DELMAN INTERNACIONAL, S.A. DE C.V.

Supplier in 87 purchase(s) for a total of 126.9 millones (126,936,343.67 )

Supplier in 1,807 contract(s) for a total of 2.4 mil millones (2,365,083,064.723 )

INMUNOGLOBULINA G NO MODIFICADA

260 purchases (398,292 units) for a total of 2.5 mil millones pesos mexicanos (2,515,145,067.37 MXN) between 2010 and 2018

Average price : 6,314.8 pesos mexicanos

Solución Inyectable. Cada frasco ámpula contiene: Inmunoglobulina G no modificada 5 g

Dirección de Administración

Buyer in 1,655 contract(s) for a total of 3.4 mil millones (3,397,743,456.971 )

INMOBILIARIA CANORAS SA DE CV

Supplier in 2 purchase(s) for a total of 683 millones (683,003,826.24 )

Supplier in 4 contract(s) for a total of 2.3 mil millones (2,332,213,669.13 )

GRUPO TERRITORIAL Y MARITIMO S.A. DE C.V.

Supplier in 1 purchase(s) for a total of 2 millones (1,989,915.99 )

Supplier in 16 contract(s) for a total of 2.3 mil millones (2,322,843,052.37 )

TURISMO Y CONVENCIONES SA DE CV

Supplier in 1 purchase(s) for a total of 98,257.9

Supplier in 346 contract(s) for a total of 2.3 mil millones (2,310,619,052.148 )

SANOFI-AVENTIS WINTHROP SA DE CV

Supplier in 77 purchase(s) for a total of 2.3 mil millones (2,251,842,317.37 )

Supplier in 216 contract(s) for a total of 2.3 mil millones (2,309,133,488.844 )

SALMETEROL FLUTICASONA

2,233 purchases (16.3 millones units) for a total of 2.4 mil millones pesos mexicanos (2,432,882,183.5 MXN) between 2009 and 2018

Average price : 149.3 pesos mexicanos

Polvo. Cada dosis contiene Xinafoato de salmeterol equivalente a 50 µg de salmeterol. Propionato de Fluticasona 100 µg

ACETATO DE GLATIRAMER

107 purchases (116,342 units) for a total of 2.4 mil millones pesos mexicanos (2,432,278,035.6 MXN) between 2012 and 2018

Average price : 20,906.3 pesos mexicanos

Solución Inyectable. Cada jeringa prellenada contiene: Acetato de glatiramer 20 mg

METFORMINA

2,115 purchases (392.5 millones units) for a total of 2.4 mil millones pesos mexicanos (2,424,510,491.5 MXN) between 2009 and 2018

Average price : 6.18 pesos mexicanos

TABLETA. Cada tableta contiene: Clorhidrato de metformina 850 mg

Vitalmex Comercial, S.A. de C.V.

Supplier in 118 purchase(s) for a total of 64.4 millones (64,397,518 )

Supplier in 389 contract(s) for a total of 2.3 mil millones (2,266,650,711.614 )

SERVICIOS DE INGENIERIA EN MEDICINA SA DE CV

Supplier in 413 purchase(s) for a total of 108.4 millones (108,408,961.23 )

Supplier in 1,114 contract(s) for a total of 2.3 mil millones (2,255,870,478.064 )

CORPORATE TRAVEL SERVICES SA DE CV

Supplier in 234 purchase(s) for a total of 302.3 millones (302,306,953.57 )

Supplier in 311 contract(s) for a total of 2.3 mil millones (2,255,515,468.059 )

Secretaría de Hacienda

Supplier in 8 purchase(s) for a total of 793,970.2

Buyer in 1,309 contract(s) for a total of 3.3 mil millones (3,254,795,077.008 )

Chihuahua México

CAMIONES ANDRADE SA DE CV

Supplier in 1 purchase(s) for a total of 102,552.3

Supplier in 155 contract(s) for a total of 2.2 mil millones (2,234,072,300.59 )

IMATINIB

217 purchases (382,936 units) for a total of 2.4 mil millones pesos mexicanos (2,353,659,037.69 MXN) between 2009 and 2018

Average price : 6,146.4 pesos mexicanos

Comprimido Recubierto. Cada Comprimido Recubierto contiene: Mesilato de imatinib 100 mg

TELEFONIA POR CABLE SA DE CV

Supplier in 2 purchase(s) for a total of 6,000

Supplier in 150 contract(s) for a total of 2.2 mil millones (2,193,797,212.231 )

SURTIPRACTIC SA DE CV

Supplier in 2 purchase(s) for a total of 44.6 millones (44,564,690.58 )

Supplier in 40 contract(s) for a total of 2.2 mil millones (2,188,032,012.146 )

SEROALBÚMINA HUMANA O ALBÚMINA HUMANA

246 purchases (3.7 millones units) for a total of 2.3 mil millones pesos mexicanos (2,330,769,083.84 MXN) between 2012 and 2018

Average price : 624.7 pesos mexicanos

Solución Inyectable. Cada envase contiene: Seroalbúmina humana o albúmina humana 12.5 g

AMBIDERM, S.A. DE C.V.

Supplier in 1,356 purchase(s) for a total of 942.6 millones (942,629,334.24 )

Supplier in 1,523 contract(s) for a total of 2.2 mil millones (2,169,792,824.19 )

INSTITUTO DE SALUD DEL ESTADO DE AGUASCALIENTES

Supplier in 5 purchase(s) for a total of 1.2 millones (1,214,998.99 )

Buyer in 1,247 contract(s) for a total of 3.1 mil millones (3,127,675,437.26 )

Subdirección de Recursos Materiales y Servicios Generales

Buyer in 1,247 contract(s) for a total of 3.1 mil millones (3,127,675,437.26 )

ATENCION CORPORATIVA DE MEXICO SA DE CV

Supplier in 1 purchase(s) for a total of 72.7 millones (72,736,612 )

Supplier in 587 contract(s) for a total of 2.1 mil millones (2,128,215,842.127 )

Louis Alberto Jauss López

Buyer in 1,093 contract(s) for a total of 3.1 mil millones (3,083,240,721.9 )

SGS DE MEXICO SA DE CV

Supplier in 2 purchase(s) for a total of 17.3 millones (17,324,343.76 )

Supplier in 248 contract(s) for a total of 2.1 mil millones (2,079,425,137.043 )

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RESULTS PER PAGE

Sources of the results:

comprasimss : 2.1 millones
cbmei : 20,033
CompraNet (Plus) : 9,400
CompraNet 3.0 : 6,310
Portal de Obligaciones de Transparencia (POT) : 6,085
Torre de Control : 28
SICOP (Costa Rica) : 3
Mujeres en la Bolsa 2020 : 2
Mujeres en la Bolsa 2019 : 1

At QuiénEsQuién.Wiki we use data provided by government and stock market entities, or data that has been thoroughly investigated by Civil Society Organizations. You can find more information about our sources here.

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.

Add this to your code:



                        library(rjson) 

                        #Read JSON data into R Todas - Fuente: comprasimss - Orden: Destacadas - QuiénEsQuién.Wiki 

                        data <- fromJSON(file="http://localhost:10010/v3/search?source=comprasimss&rank=summaries.classification.company%252Ccontract_amount.supplier%252Cpurchase_amount.product%252Csummaries.classification.shareholder%252Csummaries.classification.boardmember%252Ccontracts.value.amount%252Ccontract_amount.buyer&offset=225&db_prefix=&ids=astrazeneca%2Ccentrum-promotora-internacional-sa-de-cv%2Ccomision-federal-de-electricidad%2Ccomision-nacional-del-agua%2Ccoppel-sa-de-cv%2Ccorporativo-en-soluciones-integrales-vr-sc%2Cfederico-tejado-barcena%2Cgrupo-farmacos-especializados-sa-de-cv%2Cgrupo-parisina-sa-de-cv%2Charris-corporation-rf-communications-division%2Cinstituto-de-seguridad-y-servicios-sociales-de-los-trabajadores-del-estado%2Cinstituto-mexicano-del-seguro-social%2Cjose-kuri-harfush%2Cjulio-gutierrez-mercadillo%2Cmainbit-sa-de-cv%2Cmedical-dimegar-sa-de-cv%2Cmx%2Cnueva-walmart-de-mexico-s-de-rl-de-cv%2Cpemex-exploracion-y-produccion%2Cpfizer-sa-de-cv%2Cradiomovil-dipsa-sa-de-cv%2Csecretaria-de-comunicaciones-y-transportes%2Csenermex-ingenieria-y-sistemas-sa-de-cv%2Csodeime-ingenieria-medica-sa-de-cv%2Ctiendas-walmart-s-de-rl-de-cv")

Add this to your code:


                        import json, urllib 


                        #Read JSON data into python Todas - Fuente: comprasimss - Orden: Destacadas - QuiénEsQuién.Wiki 

                        response = urllib2.urlopen('http://localhost:10010/v3/search?source=comprasimss&rank=summaries.classification.company%252Ccontract_amount.supplier%252Cpurchase_amount.product%252Csummaries.classification.shareholder%252Csummaries.classification.boardmember%252Ccontracts.value.amount%252Ccontract_amount.buyer&offset=225&db_prefix=&ids=astrazeneca%2Ccentrum-promotora-internacional-sa-de-cv%2Ccomision-federal-de-electricidad%2Ccomision-nacional-del-agua%2Ccoppel-sa-de-cv%2Ccorporativo-en-soluciones-integrales-vr-sc%2Cfederico-tejado-barcena%2Cgrupo-farmacos-especializados-sa-de-cv%2Cgrupo-parisina-sa-de-cv%2Charris-corporation-rf-communications-division%2Cinstituto-de-seguridad-y-servicios-sociales-de-los-trabajadores-del-estado%2Cinstituto-mexicano-del-seguro-social%2Cjose-kuri-harfush%2Cjulio-gutierrez-mercadillo%2Cmainbit-sa-de-cv%2Cmedical-dimegar-sa-de-cv%2Cmx%2Cnueva-walmart-de-mexico-s-de-rl-de-cv%2Cpemex-exploracion-y-produccion%2Cpfizer-sa-de-cv%2Cradiomovil-dipsa-sa-de-cv%2Csecretaria-de-comunicaciones-y-transportes%2Csenermex-ingenieria-y-sistemas-sa-de-cv%2Csodeime-ingenieria-medica-sa-de-cv%2Ctiendas-walmart-s-de-rl-de-cv')   

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

Python (pandas, json)

Add this to your code:


                        import pandas as pd 


                        #Read JSON data into pandas Todas - Fuente: comprasimss - Orden: Destacadas - QuiénEsQuién.Wiki 

                        df = pd.read_json('http://localhost:10010/v3/search?source=comprasimss&rank=summaries.classification.company%252Ccontract_amount.supplier%252Cpurchase_amount.product%252Csummaries.classification.shareholder%252Csummaries.classification.boardmember%252Ccontracts.value.amount%252Ccontract_amount.buyer&offset=225&db_prefix=&ids=astrazeneca%2Ccentrum-promotora-internacional-sa-de-cv%2Ccomision-federal-de-electricidad%2Ccomision-nacional-del-agua%2Ccoppel-sa-de-cv%2Ccorporativo-en-soluciones-integrales-vr-sc%2Cfederico-tejado-barcena%2Cgrupo-farmacos-especializados-sa-de-cv%2Cgrupo-parisina-sa-de-cv%2Charris-corporation-rf-communications-division%2Cinstituto-de-seguridad-y-servicios-sociales-de-los-trabajadores-del-estado%2Cinstituto-mexicano-del-seguro-social%2Cjose-kuri-harfush%2Cjulio-gutierrez-mercadillo%2Cmainbit-sa-de-cv%2Cmedical-dimegar-sa-de-cv%2Cmx%2Cnueva-walmart-de-mexico-s-de-rl-de-cv%2Cpemex-exploracion-y-produccion%2Cpfizer-sa-de-cv%2Cradiomovil-dipsa-sa-de-cv%2Csecretaria-de-comunicaciones-y-transportes%2Csenermex-ingenieria-y-sistemas-sa-de-cv%2Csodeime-ingenieria-medica-sa-de-cv%2Ctiendas-walmart-s-de-rl-de-cv')