SAFE
Provider
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provider_name: SAFE
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provider_longname: State Administration of Foreign Exchange
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provider URL: http://www.safe.gov.cn/en/
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region: CN
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terms of use: ?
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approximate number of datasets: 4
Data accessibility
- **SDMX: No
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REST API: No
- **Bulk Download: No
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Account: No
Desired datasets
- Official Reserve Assets(2018)
- The time-series data of China's Gross External Debt Position by Sector(since2014Q4)
- The time-series data of International Investment Position of China
- The time-series data of Balance of Payments of China
Data tree
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Existence of a hierachy of datasets on web site: nom just a list of datasets
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How to recover the information: NA
Datasets
Official Reserve Assets(2018)
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datasetCode: ORA
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datasetName: cell A2
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how to get release date: from Last Modified property of Excel file
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dataset docHref: no
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dataset notes: no
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dimension_list:[ { code: I,
name: Item,
values: {F: cell A9, I: cell A11, S: cell A13, G: cell A15, O: cell A18 T: cell A20}
},
{ code: U,
name: Units,
values: {USD: "100 millions USD", SRD: "100 million SDR"}
},
{ code: FREQ,
name: Frequency,
values: {M: Monthly}
}]
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use of attributes: no
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attribute_list: NA
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available frequencies: M
Series
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Series key: dimension codes concatenated
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Series name: dimension values concatenated
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Series docHref: no
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Series notes: no
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missing values: None
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date format: yyyy,mm
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mixed frequencies in the same dataset: no
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Notes: ignore row 16
China's Gross External Debt Position by Sector
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datasetCode: CGEDPS
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datasetName: cell A1
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how to get release date: from Last Modified property of Excel file
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dataset docHref: cell A63
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dataset notes: no
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dimension_list: [ { code: S,
name: Sector,
values: {G: "General Government", CB: "Central Bank", OC: "Other Depository Corporations", OS: "Other sectors"}
},
{ code: FREQ,
name: Frequency,
values: {Q: Quarterly}
}]
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dimension_attribute: {Unit: 100 million US dollars}
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use of attributes: no
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attribute_list: NA
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available frequencies: Q
Series
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Series key: initials of series name
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Series name: column A, concatenate higher level names in order to make names unique
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Series docHref: no
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Series notes: no
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missing values: None
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date format: yyyyQq
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mixed frequencies in the same dataset: no
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Notes: row 57 to 61 don't have a sector (leave sector dimension empty)
China's International Investment Position
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datasetCode: CIIP
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datasetName: cell A1
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how to get release date: from Last Modified property of Excel file
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dataset docHref: no
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dataset notes: no
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dimension_list: [{ code: FREQ,
name: Frequency,
values: {A: Annual, Q: Quarterly}
},
{ code: P,
name: Position,
values: {A: Assets, L: Liabilities},
},
{ code: I,
name: Item,
values: {code: 1, 1.1...5.5, label: A7 to A32 without initial number + T: Total (for summary on Assets and Liabilities rows + B: Balance for row 5}
},
{ code: U,
name: Units,
values: {USD: "100 millions USD", SRD: "100 million SDR"}
}]
]
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use of attributes: no
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attribute_list: NA
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available frequencies: A, Q
Series
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Series key: A1, A1.1, ... A5.5, L1...L5.5, NIIP (row 5), A (row 6), L (row 33)
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Series name: column A, concatenate higher level names in order to make names unique
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Series docHref: no
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Series notes: no
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missing values: "/"
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date format: end-yyyy (ignore "end-")
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mixed frequencies in the same dataset: yes
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Notes:
- the four sheets are handled via different dimension values of FREQ and U
China's Balance of Payments
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datasetCode: CBP
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datasetName: cell A2 (but remove the parenthesis with the period)
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how to get release date: from Last Modified property of Excel file
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dataset docHref: no
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dataset notes: no
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dimension_list: [{ code: FREQ,
name: Frequency,
values: {A: Annual, Q: Quarterly}
},
{ code: A,
name: Account,
values: {CA: Current account (row 6 to 74), CFA: Capital and financial account (row 75 to135), NEO: Net errors and ommissions},
},
{ code: U.
name: Units,
values: {RMB: "100 millions of Renmimbi", USD: "100 millions of USD", SRD: "100 million of SDR"}
}]
]
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use of attributes: no
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attribute_list: NA
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available frequencies: A, Q
Series
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Series key: Numerical code in column A. For credit and debit add C or D to previous code. Exampel, row 7, 1C, row8, 1D, row10, 1.AC ....
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Series name: column A, concatenate higher level names in order to make names unique
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Series docHref: no
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Series notes: no
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missing values: "/"
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date format: yyyy, yyyyQq
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mixed frequencies in the same dataset: yes
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Notes:
- the six sheets are handled via different dimension values of FREQ and U
Updates
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calendar of future updates: No
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summary of previous updates: No
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regular updates: No
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RSS flow: No
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best way to monitor updates: check website