Department of Health as of September 01, 2014

Dataset file Download Format Columns Data Valid Transactions Oldest Latest Total (£)
Department of Health Government Procurement Card spend - transactions over £500
June 2014 22 02/06/2014 25/06/2014 13734
April - August 2011
September 2011
February 2012
March 2012
April 2012
May 2012
June 2012
July 2012
August 2012
September 2012
October 2012
November 2012
January 2012
December 2012
January 2013
February 2013
March 2013
April 2013
May 2013
June 2013
July 2013
August 2013
Septemebr 2013
October 2013
November 2013
December 2013
January 2014
February 2014
March 2014
April 2014
May 2014
Spend over £25,000 in the Department of Health
July 2014 753 01/07/2014 31/07/2014 9667999791
June 2014 1647 01/06/2014 30/06/2014 7783816533
March 2014 01/03/2014 31/03/2014 9620228547
April 2014 2185 01/03/2014 31/03/2014 9620228547
September 2013 01/09/2013 30/09/2013 8000269112
August 2013 762 01/08/2013 30/08/2013 9020565949
July 2013 1004 01/07/2013 31/07/2013 8872768869
June 2013 1616 01/06/2013 28/06/2013 6945602432
May 2013 559 01/05/2013 31/05/2013 9780340321
April 2013 01/04/2013 30/04/2013 11930137021
March 2013 2254 01/03/2013 31/03/2013 11141798268
February 2013 760 01/02/2013 28/02/2013 9334835652
January 2013 return 1349 01/01/2013 31/01/2013 8205771981
December 2012 return 1775 01/12/2012 31/12/2012 8828747375
November 2012 return 949 01/11/2012 30/11/2012 9189780826
October 2012 return 01/10/2012 31/10/2012 8625687494
September 2012 return 1491 01/09/2012 28/09/2012 7758976048
August 2012 return 01/08/2012 31/08/2012 8930755753
July 2012 return 1625 01/07/2012 31/07/2012 8042641990
June 2012 return 1640 01/06/2012 29/06/2012 9443182123
May 2012 return 909 01/05/2012 31/05/2012 9253748048
April 2012 return 1571 01/04/2012 30/04/2012 8751901648
March 2012 return 2076 01/02/2012 30/03/2012 10565024235
February 2012 return 725 01/02/2012 29/02/2012 8338651041
January 2012 return 1578 23/12/2011 31/01/2012 7972308596
December 2011 return 1662 01/09/2011 30/12/2011 9220332912
November 2011 return 839 01/11/2011 30/11/2011 8064976807
October 2011 return 1375 30/08/2011 31/10/2011 8618421016
September 2011 return 01/09/2011 30/09/2011 9203348957
August 2011 return 819 01/08/2011 31/08/2011 8092341226
July 2011 return 1324 01/07/2011 29/07/2011 8779013322
June 2011 return 1889 01/06/2011 30/06/2011 9411335860
April 2011 return 1452 01/04/2011 29/04/2011 9843202991
May 2011 return 1452 01/04/2011 29/04/2011 9843202991
March 2011 return 2040 01/03/2011 31/03/2011 9745984326
February 2011 return 1195 01/02/2011 28/02/2011 8466551512
January 2011 return 1607 01/01/2011 31/01/2011 7722017477
December 2010 return 1804 01/12/2010 31/12/2010 9231461405
November 2010 return 1100 01/11/2010 30/11/2010 8102524033
October 2010 return 1534 01/10/2010 29/10/2010 8440713253
September 2010 return 1461 01/09/2010 30/09/2010 8330934588
August 2010 return 905 01/08/2010 31/08/2010 7438941777
July 2010 return 1646 01/07/2010 31/07/2010 9422975826
June 2010 return 1661 01/06/2010 30/06/2010 8132049715
May 2010 return 1584 01/04/2010 31/05/2010 9120890056
April 2010 return 2213 01/04/2010 30/04/2010 8824120086
October 2013
November 2013
December 2013
January 2014
February 2014
May 2014

Error details

Dataset file Point of failure Error message
September 2011 return
Valid Date invalid (blank, inconsistent or unrecognised format) {"Date": "14/09/20111", "row_id": 1533, "row_number": null}
August 2012 return
Valid Amount invalid {"row_id": 198, "Amount": " - ", "row_number": null}
October 2012 return
Valid Amount invalid {"row_id": 398, "Amount": "", "row_number": null}
April 2013
Valid Amount invalid {"row_id": 321, "Amount": " \u0141- ", "row_number": null}
September 2013
Valid Date invalid (blank, inconsistent or unrecognised format) {"Date": "41543", "row_id": 1395, "row_number": null}
October 2013
Columns Column(s) not recognised ["PO line Description", "Supplier Site Postcode", "PO Number"]
November 2013
Columns Column(s) not recognised ["Supplier Site Postcode", "Publish/Redact"]
December 2013
Columns Column(s) not recognised ["PO Line Discription", "Supplier Site Postcode"]
January 2014
Columns Column(s) not recognised ["Supplier Site Postcode", "PO Line Discription"]
February 2014
Columns Column(s) not recognised ["PO Line Description", "Supplier Site Postcode"]
March 2014
Valid Amount invalid {"row_id": 1, "Amount": " - ", "row_number": null}
April - August 2011
Columns Column(s) not recognised ["Merchant Name", "Post Date"]
September 2011
Columns Column(s) not recognised [" Amount \u00a3's ", "Merchant Name", "Post Date"]
February 2012
Data Couldn't detect date formats because: Date column has no values "{'Date': 'Date column has no values'}"
March 2012
Data Couldn't detect date formats because: Date column has no values "{'Date': 'Date column has no values'}"
April 2012
Data Couldn't detect date formats because: Date column has no values "{'Date': 'Date column has no values'}"
May 2012
Data Couldn't detect date formats because: Date column has no values "{'Date': 'Date column has no values'}"
June 2012
Data Couldn't detect date formats because: Date column has no values "{'Date': 'Date column has no values'}"
July 2012
Data Couldn't detect date formats because: Date column has no values "{'Date': 'Date column has no values'}"
August 2012
Columns Column(s) not recognised [" Amount \u00a3's ", "Merchant Name"]
October 2012
Data Couldn't detect date formats because: Date column has no values "{'Date': 'Date column has no values'}"
November 2012
Columns Column(s) not recognised ["Merchant Name", "Post Date"]
January 2012
Data Couldn't detect date formats because: Date column has no values "{'Date': 'Date column has no values'}"
December 2012
Data Couldn't detect date formats because: Date column has no values "{'Date': 'Date column has no values'}"
January 2013
Data Couldn't detect date formats because: Date column has no values "{'Date': 'Date column has no values'}"
February 2013
Data Couldn't detect date formats because: Date column has no values "{'Date': 'Date column has no values'}"
March 2013
Data Couldn't detect date formats because: Date column has no values "{'Date': 'Date column has no values'}"
April 2013
Data Couldn't detect date formats because: Date column has no values "{'Date': 'Date column has no values'}"
May 2013
Data Couldn't detect date formats because: Date column has no values "{'Date': 'Date column has no values'}"
June 2013
Columns Column(s) not recognised ["Billing Amount", "Merchant Name", "Posted Date"]
July 2013
Data Couldn't detect date formats because: Date column has no values "{'Date': 'Date column has no values'}"
August 2013
Data Couldn't detect date formats because: Date column has no values "{'Date': 'Date column has no values'}"
Septemebr 2013
Columns Column(s) not recognised ["Billing Amount", "Merchant Name", "Post Date"]
October 2013
Data Couldn't detect date formats because: Date column has no values "{'Date': 'Date column has no values'}"
November 2013
Data Couldn't detect date formats because: Date column has no values "{'Date': 'Date column has no values'}"
December 2013
Data Couldn't detect date formats because: Date column has no values "{'Date': 'Date column has no values'}"
January 2014
Data Couldn't detect date formats because: Date column has no values "{'Date': 'Date column has no values'}"
February 2014
Data Couldn't detect date formats because: Date column has no values "{'Date': 'Date column has no values'}"
March 2014
Data Couldn't detect date formats because: Date column has no values "{'Date': 'Date column has no values'}"
May 2014
Columns Column(s) not recognised ["PO Line discription", "Supplier Site Postcode", "Vat Registration Num", "Amount \u00a3"]
April 2014
Columns Column(s) not recognised ["Transaction Posting Date", "Transaction Amount \u00a3", "Merchant Name"]
May 2014
Data Couldn't detect date formats because: Date column has no values "{'Date': 'Date column has no values'}"

Notes:

  • For a dataset to be included on this page, a publisher has to have added the "spend-transactions" tag to the dataset.
  • The column names must follow the Treasury Guidelines. Any deviation from the exact column names will need the columns matching up manually, which could take some weeks.

Page imported from OpenSpending on 01-09-2014. Read more about OpenSpending on data.gov.uk

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