diff --git a/CPI/dataset.json b/CPI/dataset.json
index 06796c34ad8db20a9327e4ae2ada21ebe11b9aa9..dfe0477dd76d5a265ef6b6bdc0641ec1ee9a4868 100644
--- a/CPI/dataset.json
+++ b/CPI/dataset.json
@@ -511,5 +511,5 @@
"Methodology: <a href=\"http:\/\/www.ilo.org\/public\/english\/bureau\/stat\/guides\/cpi\/index.htm#manual\" target = \"_blank\">Consumer Price Index Manual<\/i><\/a>",
"Sectoral Coverage: Real Sector"
],
- "updated_at": "2020-08-21"
+ "updated_at": "2020-08-22"
}
\ No newline at end of file
diff --git a/CPI/series.jsonl b/CPI/series.jsonl
index 04fbc3742426124c6d6de0b63916a0d87ecebdbe..6c71cd9c837308f61cabcc9ed2a7891305ed24db 100644
Binary files a/CPI/series.jsonl and b/CPI/series.jsonl differ
diff --git a/FAS/dataset.json b/FAS/dataset.json
index e0a8c73cbdc89e8e21555ae86ce4b4f37836b6ab..1965bd13c53e09a30dc18555528f523052a135f3 100644
--- a/FAS/dataset.json
+++ b/FAS/dataset.json
@@ -464,5 +464,5 @@
"Sectoral Coverage: The 2012 FAS questionnaire was expanded to include time series for credit unions and financial cooperatives, deposit and non-deposit taking microfinance institutions, as well as breakdowns for households vs. small and medium enterprises and life vs. non-life insurance.",
"Code: FAS"
],
- "updated_at": "2020-08-14"
+ "updated_at": "2020-08-21"
}
\ No newline at end of file
diff --git a/FAS/series.jsonl b/FAS/series.jsonl
index 7102affd3a73a6aa05443b5e567d82eacfda000b..e9e5b99716c0e77348d6dfea4fadbaebbf3e730f 100644
--- a/FAS/series.jsonl
+++ b/FAS/series.jsonl
@@ -17911,6 +17911,8 @@
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diff --git a/FSI/dataset.json b/FSI/dataset.json
index 5e722e50781c52df441af747af4fd9dbc998a178..4b25a5f71f45faff1f454b8d5638cfb52ad307bb 100644
--- a/FSI/dataset.json
+++ b/FSI/dataset.json
@@ -1402,5 +1402,5 @@
"Sectoral Coverage: The data include 40 indicators and their underlying series, 25 for the sector of deposit takers (of which 12 are core FSIs), and 15 for client sectors of deposit takers as well as for markets which are crucial to deposit takers' soundness, including: other financial corporations (2 indicators); non-financial corporations (5 indicators); households (2 indicators); market liquidity (2 indicators); and real estate markets (4 indicators). Participating countries are to compile and report at least the 12 core FSIs, their underlying series, and corresponding metadata. Countries are also encouraged to compile and submit data and metadata for the 28 encouraged FSIs.\nReporting Templates: The FSI dataset is composed of the following templates: <ul><li><b>FS1<\/b>: Institutional coverage of the FSIs compiled by a country.<\/li>\n<li><b>FS2<\/b>: Underlying series used in compiling FSIs: income statement and balance sheet of deposit takers; balance sheets of the other financial corporations, nonfinancial corporations, and households, and memorandum series.<\/li>\n<li><b>FSD<\/b>: Data Report Form for Financial Soundness Indicators and Underlying Series.<\/li>\n<li><b>FSM<\/b>: Metadata for the compiled FSIs.<\/li><\/ul>",
"Code: FSI"
],
- "updated_at": "2020-08-20"
+ "updated_at": "2020-08-21"
}
\ No newline at end of file
diff --git a/FSI/series.jsonl b/FSI/series.jsonl
index 22ed5f52096f4b0b5eeff4371f95fe60888a7ab3..08b72b4f4dab2661e59a7603698b948c9a081cf4 100644
--- a/FSI/series.jsonl
+++ b/FSI/series.jsonl
@@ -24794,205 +24794,205 @@
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diff --git a/FSIRE/dataset.json b/FSIRE/dataset.json
index f33e665e01bc0adeba8b97d516f121466ef544d5..7678f6f68c933622c4ea32df2969c7cb8c6b926a 100644
--- a/FSIRE/dataset.json
+++ b/FSIRE/dataset.json
@@ -408,5 +408,5 @@
"Sectoral Coverage: Data on reporting entities cover the branches, subsidiaries and the value of asset for both domestically and foreign controlled entities resident in the reporting country together their resident and non-resident subsidiaries.",
"Code: FSIRE"
],
- "updated_at": "2020-08-20"
+ "updated_at": "2020-08-21"
}
\ No newline at end of file
diff --git a/FSIRE/series.jsonl b/FSIRE/series.jsonl
index 1502f889e9f88ff9b9350c78216920a1acb2ad6e..76c5d5a01520b620ce5fa1600de97de51a589c9e 100644
--- a/FSIRE/series.jsonl
+++ b/FSIRE/series.jsonl
@@ -13155,14 +13155,14 @@
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{"attributes":{"TIME_FORMAT":"P1Y","UNIT_MULT":"0"},"code":"A.PG.DE_NUM.1C_FS_ODX_IG","dimensions":{"FINANCIAL_INSTITUTION":"1C_FS_ODX_IG","FREQ":"A","INDICATOR":"DE_NUM","REF_AREA":"PG"},"observations":[["PERIOD","VALUE"],["2016",0.0],["2017",0.0],["2018",0.0],["2019",0.0]]}
{"attributes":{"TIME_FORMAT":"P1Y","UNIT_MULT":"0"},"code":"A.PG.DE_NUM.1C_FS_ODX_IGB","dimensions":{"FINANCIAL_INSTITUTION":"1C_FS_ODX_IGB","FREQ":"A","INDICATOR":"DE_NUM","REF_AREA":"PG"},"observations":[["PERIOD","VALUE"],["2015",0.0],["2016",0.0],["2017",0.0],["2018",0.0],["2019",0.0]]}
@@ -13290,7 +13290,7 @@
{"attributes":{"TIME_FORMAT":"P1Y","UNIT_MULT":"0"},"code":"A.PG.DE_NUM.1C_FS_ODX_IGP","dimensions":{"FINANCIAL_INSTITUTION":"1C_FS_ODX_IGP","FREQ":"A","INDICATOR":"DE_NUM","REF_AREA":"PG"},"observations":[["PERIOD","VALUE"],["2015",0.0],["2016",0.0],["2017",0.0],["2018",0.0],["2019",0.0]]}
{"attributes":{"TIME_FORMAT":"P1Y","UNIT_MULT":"0"},"code":"A.PG.DE_NUM.1C_FS_ODX_IGR","dimensions":{"FINANCIAL_INSTITUTION":"1C_FS_ODX_IGR","FREQ":"A","INDICATOR":"DE_NUM","REF_AREA":"PG"},"observations":[["PERIOD","VALUE"],["2015",0.0],["2016",0.0],["2017",0.0],["2018",0.0],["2019",0.0]]}
{"attributes":{"TIME_FORMAT":"P1Y","UNIT_MULT":"0"},"code":"A.PG.DE_NUM.1C_FS_ODX_IGS","dimensions":{"FINANCIAL_INSTITUTION":"1C_FS_ODX_IGS","FREQ":"A","INDICATOR":"DE_NUM","REF_AREA":"PG"},"observations":[["PERIOD","VALUE"],["2015",0.0],["2016",0.0],["2017",0.0],["2018",0.0],["2019",0.0]]}
-{"attributes":{"TIME_FORMAT":"P1Y","UNIT_MULT":"0"},"code":"A.PG.DE_NUM.1C_FS_ODX_IP","dimensions":{"FINANCIAL_INSTITUTION":"1C_FS_ODX_IP","FREQ":"A","INDICATOR":"DE_NUM","REF_AREA":"PG"},"observations":[["PERIOD","VALUE"],["2015",12.0],["2016",14.0],["2017",14.0],["2018",17.0],["2019",33.0]]}
+{"attributes":{"TIME_FORMAT":"P1Y","UNIT_MULT":"0"},"code":"A.PG.DE_NUM.1C_FS_ODX_IP","dimensions":{"FINANCIAL_INSTITUTION":"1C_FS_ODX_IP","FREQ":"A","INDICATOR":"DE_NUM","REF_AREA":"PG"},"observations":[["PERIOD","VALUE"],["2015",12.0],["2016",14.0],["2017",14.0],["2018",17.0],["2019",32.0]]}
{"attributes":{"TIME_FORMAT":"P1Y","UNIT_MULT":"0"},"code":"A.PG.DE_NUM.1C_FS_ODX_IPB","dimensions":{"FINANCIAL_INSTITUTION":"1C_FS_ODX_IPB","FREQ":"A","INDICATOR":"DE_NUM","REF_AREA":"PG"},"observations":[["PERIOD","VALUE"],["2015",0.0],["2016",0.0],["2017",0.0],["2018",0.0],["2019",0.0]]}
{"attributes":{"TIME_FORMAT":"P1Y","UNIT_MULT":"0"},"code":"A.PG.DE_NUM.1C_FS_ODX_IPC","dimensions":{"FINANCIAL_INSTITUTION":"1C_FS_ODX_IPC","FREQ":"A","INDICATOR":"DE_NUM","REF_AREA":"PG"},"observations":[["PERIOD","VALUE"],["2015",2.0],["2016",2.0],["2017",2.0],["2018",2.0],["2019",2.0]]}
{"attributes":{"TIME_FORMAT":"P1Y","UNIT_MULT":"0"},"code":"A.PG.DE_NUM.1C_FS_ODX_IPCU","dimensions":{"FINANCIAL_INSTITUTION":"1C_FS_ODX_IPCU","FREQ":"A","INDICATOR":"DE_NUM","REF_AREA":"PG"},"observations":[["PERIOD","VALUE"],["2015",0.0],["2016",0.0],["2017",0.0],["2018",0.0],["2019",16.0]]}
@@ -13298,7 +13298,7 @@
{"attributes":{"TIME_FORMAT":"P1Y","UNIT_MULT":"0"},"code":"A.PG.DE_NUM.1C_FS_ODX_IPI","dimensions":{"FINANCIAL_INSTITUTION":"1C_FS_ODX_IPI","FREQ":"A","INDICATOR":"DE_NUM","REF_AREA":"PG"},"observations":[["PERIOD","VALUE"],["2015",0.0],["2016",0.0],["2017",0.0],["2018",0.0],["2019",0.0]]}
{"attributes":{"TIME_FORMAT":"P1Y","UNIT_MULT":"0"},"code":"A.PG.DE_NUM.1C_FS_ODX_IPM","dimensions":{"FINANCIAL_INSTITUTION":"1C_FS_ODX_IPM","FREQ":"A","INDICATOR":"DE_NUM","REF_AREA":"PG"},"observations":[["PERIOD","VALUE"],["2015",0.0],["2016",0.0],["2017",0.0],["2018",0.0],["2019",0.0]]}
{"attributes":{"TIME_FORMAT":"P1Y","UNIT_MULT":"0"},"code":"A.PG.DE_NUM.1C_FS_ODX_IPMFI","dimensions":{"FINANCIAL_INSTITUTION":"1C_FS_ODX_IPMFI","FREQ":"A","INDICATOR":"DE_NUM","REF_AREA":"PG"},"observations":[["PERIOD","VALUE"],["2015",4.0],["2016",5.0],["2017",5.0],["2018",5.0],["2019",5.0]]}
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+{"attributes":{"TIME_FORMAT":"P1Y","UNIT_MULT":"0"},"code":"A.PG.DE_NUM.1C_FS_ODX_IPO","dimensions":{"FINANCIAL_INSTITUTION":"1C_FS_ODX_IPO","FREQ":"A","INDICATOR":"DE_NUM","REF_AREA":"PG"},"observations":[["PERIOD","VALUE"],["2015",6.0],["2016",7.0],["2017",7.0],["2018",10.0],["2019",9.0]]}
{"attributes":{"TIME_FORMAT":"P1Y","UNIT_MULT":"0"},"code":"A.PG.DE_NUM.1C_FS_ODX_IPP","dimensions":{"FINANCIAL_INSTITUTION":"1C_FS_ODX_IPP","FREQ":"A","INDICATOR":"DE_NUM","REF_AREA":"PG"},"observations":[["PERIOD","VALUE"],["2015",0.0],["2016",0.0],["2017",0.0],["2018",0.0],["2019",0.0]]}
{"attributes":{"TIME_FORMAT":"P1Y","UNIT_MULT":"0"},"code":"A.PG.DE_NUM.1C_FS_ODX_IPR","dimensions":{"FINANCIAL_INSTITUTION":"1C_FS_ODX_IPR","FREQ":"A","INDICATOR":"DE_NUM","REF_AREA":"PG"},"observations":[["PERIOD","VALUE"],["2015",0.0],["2016",0.0],["2017",0.0],["2018",0.0],["2019",0.0]]}
{"attributes":{"TIME_FORMAT":"P1Y","UNIT_MULT":"0"},"code":"A.PG.DE_NUM.1C_FS_ODX_IPS","dimensions":{"FINANCIAL_INSTITUTION":"1C_FS_ODX_IPS","FREQ":"A","INDICATOR":"DE_NUM","REF_AREA":"PG"},"observations":[["PERIOD","VALUE"],["2015",0.0],["2016",0.0],["2017",0.0],["2018",0.0],["2019",0.0]]}
diff --git a/GFSCOFOG/dataset.json b/GFSCOFOG/dataset.json
index 4b4c0f1ab60d9e92e2e3a1d7e4f76e83990c22d3..fc30b4c3500d506d1df2822c88d00cc47b922626 100644
--- a/GFSCOFOG/dataset.json
+++ b/GFSCOFOG/dataset.json
@@ -406,5 +406,5 @@
"Methodology: Government Finance Statistics Manual 2014 (GFSM 2014)",
"Sectoral Coverage: Budgetary central government, Central government (excl. social security funds), Central government (incl. social security funds), Extrabudgetary central government, General government, Local governments, Social security funds, State governments"
],
- "updated_at": "2020-08-15"
+ "updated_at": "2020-08-22"
}
\ No newline at end of file
diff --git a/GFSE/dataset.json b/GFSE/dataset.json
index 4b6d94a487b400879cb10cdbccd3f9b3c43075f7..4a123075fa3e5b1aae7dda0fd60538371c0e7d9e 100644
--- a/GFSE/dataset.json
+++ b/GFSE/dataset.json
@@ -373,5 +373,5 @@
"Methodology: Government Finance Statistics Manual 2014 (GFSM 2014)",
"Sectoral Coverage: Budgetary central government, Central government (excl. social security funds), Central government (incl. social security funds), Extrabudgetary central government, General government, Local governments, Social security funds, State governments"
],
- "updated_at": "2020-08-15"
+ "updated_at": "2020-08-22"
}
\ No newline at end of file
diff --git a/GFSFALCS/dataset.json b/GFSFALCS/dataset.json
index 245e4c13bf089d7452213a43aa78524b9d96c5d3..9e3b032ba97baf352606b883b068c5de88ad7033 100644
--- a/GFSFALCS/dataset.json
+++ b/GFSFALCS/dataset.json
@@ -352,5 +352,5 @@
"Methodology: Government Finance Statistics Manual 2014 (GFSM 2014)",
"Sectoral Coverage: Budgetary central government, Central government (excl. social security funds), Central government (incl. social security funds), Extrabudgetary central government, General government, Local governments, Social security funds, State governments"
],
- "updated_at": "2020-08-15"
+ "updated_at": "2020-08-22"
}
\ No newline at end of file
diff --git a/GFSIBS/dataset.json b/GFSIBS/dataset.json
index 1df922fa45623b2edc546fbc48a37b1483c59c3a..a2ac4bef877e81d6b9a95a489c465a40d6ac977c 100644
--- a/GFSIBS/dataset.json
+++ b/GFSIBS/dataset.json
@@ -380,5 +380,5 @@
"Methodology: Government Finance Statistics Manual 2014 (GFSM 2014)",
"Sectoral Coverage: Budgetary central government, Central government (excl. social security funds), Central government (incl. social security funds), Extrabudgetary central government, General government, Local governments, Social security funds, State governments"
],
- "updated_at": "2020-08-15"
+ "updated_at": "2020-08-22"
}
\ No newline at end of file
diff --git a/GFSMAB/dataset.json b/GFSMAB/dataset.json
index dd42f6430066fe3e6fd783b1b0d4b9c768342d13..80322608a5cff1bea92d420c5b1c097469f796c9 100644
--- a/GFSMAB/dataset.json
+++ b/GFSMAB/dataset.json
@@ -360,5 +360,5 @@
"Methodology: Government Finance Statistics Manual 2014 (GFSM 2014)",
"Sectoral Coverage: Budgetary central government, Central government (excl. social security funds), Central government (incl. social security funds), Extrabudgetary central government, General government, Local governments, Social security funds, State governments"
],
- "updated_at": "2020-08-15"
+ "updated_at": "2020-08-22"
}
\ No newline at end of file
diff --git a/GFSR/dataset.json b/GFSR/dataset.json
index 2cd4b27e3a31fb3089cdc2a45644f138f4057832..25e976f7b7af4ceb4306f6e2db4d39deeb10f0ec 100644
--- a/GFSR/dataset.json
+++ b/GFSR/dataset.json
@@ -409,5 +409,5 @@
"Methodology: Government Finance Statistics Manual 2014 (GFSM 2014)",
"Sectoral Coverage: Budgetary central government, Central government (excl. social security funds), Central government (incl. social security funds), Extrabudgetary central government, General government, Local governments, Social security funds, State governments"
],
- "updated_at": "2020-08-15"
+ "updated_at": "2020-08-22"
}
\ No newline at end of file
diff --git a/GFSSSUC/dataset.json b/GFSSSUC/dataset.json
index 466244950e05db1c5fb9fc0ac2d0846ca8a6f5c3..9d00d1684c919ef8846df45391ea1f4e5688e731 100644
--- a/GFSSSUC/dataset.json
+++ b/GFSSSUC/dataset.json
@@ -351,5 +351,5 @@
"Methodology: Government Finance Statistics Manual 2014 (GFSM 2014)",
"Sectoral Coverage: Budgetary central government, Central government (excl. social security funds), Central government (incl. social security funds), Extrabudgetary central government, General government, Local governments, Social security funds, State governments"
],
- "updated_at": "2020-08-15"
+ "updated_at": "2020-08-22"
}
\ No newline at end of file
diff --git a/IRFCL/dataset.json b/IRFCL/dataset.json
index a2feb9e98d13173dd04f4dbffdfd05d03f28649c..4748ae04e116617421c5e27d6f17ef170bfa0f15 100644
--- a/IRFCL/dataset.json
+++ b/IRFCL/dataset.json
@@ -1175,5 +1175,5 @@
"Sectoral Coverage: Contains Fund member countries’ data on international reserves and foreign currency liquidity in a common template and in a common currency (US dollar). Historical data by country and selected topics are available. The data template establishes standards for the provision of information to the public on the: amount and composition of official reserve assets, other foreign currency assets held by the monetary authorities and the central government; short-term foreign currency obligations and related activities of the monetary authorities and the central government (such as financial derivatives positions and guarantees extended by the government for quasi-official and private sector borrowing) that can lead to drains on reserves and other foreign currency assets. Template data are available by SDDS and non-SDDS subscribing countries that report on a voluntary basis to the Fund. Topics covered include: external obligations, International reserves, monetary authorities.",
"Code: IRFCL"
],
- "updated_at": "2020-08-21"
+ "updated_at": "2020-08-22"
}
\ No newline at end of file
diff --git a/IRFCL/series.jsonl b/IRFCL/series.jsonl
index cd255650e7a24dd1b45b54a17f28fa160dbc26aa..f59355bc7dc4376372dc77257a9868f44b81c133 100644
Binary files a/IRFCL/series.jsonl and b/IRFCL/series.jsonl differ
diff --git a/NAMAIN_IDC_N/dataset.json b/NAMAIN_IDC_N/dataset.json
index e2efd580a87e627802732f8c97352c395e9ff2df..138332e44f9796337f9b71988479f97a4a4e53d9 100644
--- a/NAMAIN_IDC_N/dataset.json
+++ b/NAMAIN_IDC_N/dataset.json
@@ -4123,5 +4123,5 @@
"notes": [
"Code: NAMAIN_IDC_N"
],
- "updated_at": "2020-08-15"
+ "updated_at": "2020-08-22"
}
\ No newline at end of file
diff --git a/NAMAIN_IDC_N/series.jsonl b/NAMAIN_IDC_N/series.jsonl
index a78f720d2e140bfe505a18b1aff4082103a3bc01..8b51e9d93eaaec32456bfcaaae508f0333300c21 100644
--- a/NAMAIN_IDC_N/series.jsonl
+++ b/NAMAIN_IDC_N/series.jsonl
@@ -892,20 +892,20 @@
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diff --git a/PGI/dataset.json b/PGI/dataset.json
index 08c9efa98d756635337b76987861f13f9237ab42..87c308e1c0997168f3b58b18d9d14cbba455d73b 100644
--- a/PGI/dataset.json
+++ b/PGI/dataset.json
@@ -1712,5 +1712,5 @@
"notes": [
"Code: PGI"
],
- "updated_at": "2020-08-21"
+ "updated_at": "2020-08-22"
}
\ No newline at end of file