├── pipeline-spec.yaml ├── README.md ├── scripts ├── country_codes.py └── main.py ├── datapackage.json ├── exchange_rates_flow.py └── data ├── yearly.csv └── annual.csv /pipeline-spec.yaml: -------------------------------------------------------------------------------- 1 | exchange-rates-flow: 2 | pipeline: 3 | - flow: exchange_rates_flow 4 | - run: datahub.dump.to_datahub 5 | schedule: 6 | crontab: 59 23 * * * 7 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | badge 2 | 3 | Foreign exchange rates from US Federal Reserve in daily, monthly and yearly basis. 4 | 5 | ## Data 6 | 7 | Data is gathered from [https://fred.stlouisfed.org](https://fred.stlouisfed.org). 8 | Most of the countries have rates for days, months and years, but some only have for months. 9 | Some countries have inverted values. Most are compared to USD, and some are USD compared to them. 10 | 11 | Following country currencies have `USD/currency` ratio: 12 | 13 | * Austalia 14 | * Euro 15 | * Ireland 16 | * New Zealand 17 | * United Kingdom 18 | 19 | The rest of countries have `currency/USD` ratio. 20 | 21 | In this dataset, there are 3 granularities available: 22 | 23 | * daily 24 | * monthly 25 | * yearly 26 | 27 | The data has following fields: 28 | 29 | * Date - date in ISO format 30 | * Country - name of a country 31 | * Value - currency rate 32 | 33 | ## Preparation 34 | 35 | You will need Python 3.6 or greater and dataflows library to run the script 36 | 37 | To update the data run the process script locally: 38 | 39 | ``` 40 | # Install dataflows 41 | pip install dataflows 42 | 43 | # Run the script 44 | python exchange_rates_flow.py 45 | ``` 46 | 47 | ## License 48 | 49 | Licensed under the [Public Domain Dedication and License][pddl] (assuming 50 | either no rights or public domain license in source data). 51 | 52 | [pddl]: http://opendatacommons.org/licenses/pddl/1.0/ 53 | -------------------------------------------------------------------------------- /scripts/country_codes.py: -------------------------------------------------------------------------------- 1 | inverse = ['Australia', 'Euro', 'Ireland', 'New Zealand', 'United Kingdom'] 2 | 3 | country_codes = { 'Australia': ['DEXUSAL','EXUSAL','AEXUSAL'], 4 | 'Austria':['','EXAUUS',''], 5 | 'Belgium':['','EXBEUS',''], 6 | 'Brazil':['DEXBZUS','EXBZUS','AEXBZUS'], 7 | 'Canada':['DEXCAUS','EXCAUS','AEXCAUS'], 8 | 'China':['DEXCHUS','EXCHUS','AEXCHUS'], 9 | 'Denmark':['DEXDNUS','EXDNUS','AEXDNUS'], 10 | 'Euro':['DEXUSEU','EXUSEU','AEXUSEU'], 11 | 'Finland':['','EXFNUS',''], 12 | 'France':['','EXFRUS',''], 13 | 'Germany':['','EXGEUS',''], 14 | 'Greece':['','EXGRUS',''], 15 | 'Hong Kong':['DEXHKUS','EXHKUS','AEXHKUS'], 16 | 'India':['DEXINUS','EXINUS','AEXINUS'], 17 | 'Ireland':['','EXUSIR',''], 18 | 'Italy':['','EXITUS',''], 19 | 'Japan':['DEXJPUS','EXJPUS','AEXJPUS'], 20 | 'Malaysia':['DEXMAUS','EXMAUS','AEXMAUS'], 21 | 'Mexico':['DEXMXUS','EXMXUS','AEXMXUS'], 22 | 'Netherlands':['','EXNEUS',''], 23 | 'New Zealand':['DEXUSNZ','EXUSNZ','AEXUSNZ'], 24 | 'Norway':['DEXNOUS','EXNOUS','AEXNOUS'], 25 | 'Portugal':['','EXPOUS',''], 26 | 'Singapore':['DEXSIUS','EXSIUS','AEXSIUS'], 27 | 'South Africa':['DEXSFUS','EXSFUS','AEXSFUS'], 28 | 'South Korea':['DEXKOUS','EXKOUS','AEXKOUS'], 29 | 'Spain':['','EXSPUS',''], 30 | 'Sri Lanka':['','EXSLUS',''], 31 | 'Sweden':['DEXSDUS','EXSDUS','AEXSDUS'], 32 | 'Switzerland':['DEXSZUS','EXSZUS','AEXSZUS'], 33 | 'Taiwan':['DEXTAUS','EXTAUS','AEXTAUS'], 34 | 'Thailand':['DEXTHUS','EXTHUS','AEXTHUS'], 35 | 'United Kingdom':['DEXUSUK','EXUSUK',''], 36 | 'Venezuela':['DEXVZUS','EXVZUS','AEXVZUS'] 37 | } 38 | 39 | -------------------------------------------------------------------------------- /scripts/main.py: -------------------------------------------------------------------------------- 1 | import urllib.request 2 | from collections import OrderedDict 3 | from pathlib import Path 4 | 5 | import numpy as np 6 | import os 7 | 8 | import sys 9 | from datapackage import Package 10 | 11 | from scripts.country_codes import country_codes, inverse 12 | 13 | base_url = 'https://fred.stlouisfed.org/data/' 14 | 15 | 16 | def values(frequency): 17 | output_array = [] 18 | number = -1 19 | for country in country_codes: 20 | if frequency == "daily": 21 | type_num = 0 22 | elif frequency == "monthly": 23 | type_num = 1 24 | else: 25 | type_num = 2 26 | specific_part = country_codes[country][type_num] 27 | url = base_url+specific_part+'.txt' 28 | print(url) 29 | number = number + 1 30 | if specific_part != '': 31 | response = urllib.request.urlopen(url) 32 | lines = response.readlines() 33 | header = True 34 | for line in lines: 35 | line_str = line.decode('utf-8') 36 | if not header: 37 | date_value = line_str.split(' ') 38 | date = date_value[0] 39 | value = date_value[1:] 40 | value = "".join(value).strip() 41 | if value == '.': 42 | value = '' 43 | if country in inverse: 44 | if value != '': 45 | value = str(round(1 / float(value), 4)) 46 | 47 | country_array = [date, country, value] 48 | print(country_array) 49 | 50 | output_array.append(country_array) 51 | 52 | if 'DATE' in line_str and 'VALUE' in line_str and header: 53 | header = False 54 | 55 | return output_array 56 | 57 | 58 | def print_to_csv(output, location): 59 | file = open(location, 'w') 60 | hdr = 'Date,Country,Value' 61 | file.write(hdr + '\n') 62 | for triplet in output: 63 | file.write(triplet[0]+','+triplet[1]+','+triplet[2]+'\n') 64 | 65 | file.close() 66 | 67 | 68 | print_to_csv(values('daily'), '../data/daily.csv') 69 | print_to_csv(values('monthly'), '../data/monthly.csv') 70 | print_to_csv(values('yearly'), '../data/yearly.csv') 71 | -------------------------------------------------------------------------------- /datapackage.json: -------------------------------------------------------------------------------- 1 | { 2 | "bytes": 7363680, 3 | "count_of_rows": 245082, 4 | "hash": "f044d7d67f71d60939a86229afca2c71", 5 | "homepage": "https://fred.stlouisfed.org", 6 | "licenses": [ 7 | { 8 | "id": "odc-pddl", 9 | "name": "public_domain_dedication_and_license", 10 | "url": "http://opendatacommons.org/licenses/pddl/1.0/", 11 | "version": "1.0" 12 | } 13 | ], 14 | "name": "us-euro-foreign-exchange-rate", 15 | "profile": "data-package", 16 | "readme": "Foreign exchange rates from US Federal Reserve in daily, monthly and yearly basis.\n\n## Data\n\nData is gathered from [https://fred.stlouisfed.org](https://fred.stlouisfed.org).\nMost of the countries have rates for days, months and years, but some only have for months. \nSome countries have inverted values. Most are compared to USD, and some are USD compared to them.\n\nFollowing country currencies have `USD/currency` ratio:\n\n* Austalia\n* Euro\n* Ireland\n* New Zealand\n* United Kingdom\n\nThe rest of countries have `currency/USD` ratio.\n\nIn this dataset, there are 3 granularities available:\n\n* daily\n* monthly\n* yearly\n\nThe data has following fields:\n\n* Date - date in ISO format\n* Country - name of a country\n* Value - currency rate\n\n## Preparation\n\nRun python script:\n```\nscripts/main.py\n```\n\n## License\n\nLicensed under the [Public Domain Dedication and License][pddl] (assuming\neither no rights or public domain license in source data).\n\n[pddl]: http://opendatacommons.org/licenses/pddl/1.0/", 17 | "resources": [ 18 | { 19 | "dpp:streaming": true, 20 | "name": "daily", 21 | "path": "data/daily.csv", 22 | "profile": "tabular-data-resource", 23 | "schema": { 24 | "fields": [ 25 | { 26 | "description": "Date in ISO format", 27 | "format": "default", 28 | "name": "Date", 29 | "type": "date" 30 | }, 31 | { 32 | "description": "Name of a country", 33 | "format": "default", 34 | "name": "Country", 35 | "type": "string" 36 | }, 37 | { 38 | "description": "Foreign Exchange Rate to USD. Only AUD, IEP, NZD, GBP and EUR to USD.", 39 | "format": "default", 40 | "name": "Exchange rate", 41 | "type": "number" 42 | } 43 | ], 44 | "missingValues": [ 45 | "" 46 | ] 47 | } 48 | }, 49 | { 50 | "dpp:streaming": true, 51 | "name": "monthly", 52 | "path": "data/monthly.csv", 53 | "profile": "tabular-data-resource", 54 | "schema": { 55 | "fields": [ 56 | { 57 | "description": "Date in ISO format", 58 | "format": "default", 59 | "name": "Date", 60 | "type": "date" 61 | }, 62 | { 63 | "description": "Name of a country", 64 | "format": "default", 65 | "name": "Country", 66 | "type": "string" 67 | }, 68 | { 69 | "description": "Foreign Exchange Rate to USD. Only AUD, IEP, NZD, GBP and EUR to USD.", 70 | "format": "default", 71 | "name": "Exchange rate", 72 | "type": "number" 73 | } 74 | ], 75 | "missingValues": [ 76 | "" 77 | ] 78 | } 79 | }, 80 | { 81 | "dpp:streaming": true, 82 | "name": "annual", 83 | "path": "data/annual.csv", 84 | "profile": "tabular-data-resource", 85 | "schema": { 86 | "fields": [ 87 | { 88 | "description": "Date in ISO format", 89 | "format": "default", 90 | "name": "Date", 91 | "type": "date" 92 | }, 93 | { 94 | "description": "Name of a country", 95 | "format": "default", 96 | "name": "Country", 97 | "type": "string" 98 | }, 99 | { 100 | "description": "Foreign Exchange Rate to USD. Only AUD, IEP, NZD, GBP and EUR to USD.", 101 | "format": "default", 102 | "name": "Exchange rate", 103 | "type": "number" 104 | } 105 | ], 106 | "missingValues": [ 107 | "" 108 | ] 109 | } 110 | } 111 | ], 112 | "sources": [ 113 | { 114 | "name": "federal-reserve-bank-st-louis", 115 | "path": "https://fred.stlouisfed.org/categories/158", 116 | "title": "Federal Reserve Bank of St. Louis" 117 | } 118 | ], 119 | "title": "USA / EUR Foreign Exchange Rate since 1999", 120 | "version": "0.2.0", 121 | "collection": "economic-data" 122 | } -------------------------------------------------------------------------------- /exchange_rates_flow.py: -------------------------------------------------------------------------------- 1 | import os 2 | 3 | from dataflows import Flow, validate, add_metadata, set_type, update_resource 4 | import urllib.request 5 | 6 | 7 | def readme(fpath='README.md'): 8 | if os.path.exists(fpath): 9 | return open(fpath).read() 10 | 11 | 12 | base_url = 'https://fred.stlouisfed.org/data/' 13 | inverse = ['Australia', 'Euro', 'Ireland', 'New Zealand', 'United Kingdom'] 14 | country_codes = { 15 | 'Australia': {'daily': 'DEXUSAL', 'monthly': 'EXUSAL', 'annual': 'AEXUSAL'}, 16 | 'Austria': {'daily': '', 'monthly': 'EXAUUS', 'annual': ''}, 17 | 'Belgium': {'daily': '', 'monthly': 'EXBEUS', 'annual': ''}, 18 | 'Brazil': {'daily': 'DEXBZUS', 'monthly': 'EXBZUS', 'annual': 'AEXBZUS'}, 19 | 'Canada': {'daily': 'DEXCAUS', 'monthly': 'EXCAUS', 'annual': 'AEXCAUS'}, 20 | 'China': {'daily': 'DEXCHUS', 'monthly': 'EXCHUS', 'annual': 'AEXCHUS'}, 21 | 'Denmark': {'daily': 'DEXDNUS', 'monthly': 'EXDNUS', 'annual': 'AEXDNUS'}, 22 | 'Euro': {'daily': 'DEXUSEU', 'monthly': 'EXUSEU', 'annual': 'AEXUSEU'}, 23 | 'Finland': {'daily': '', 'monthly': 'EXFNUS', 'annual': ''}, 24 | 'France': {'daily': '', 'monthly': 'EXFRUS', 'annual': ''}, 25 | 'Germany': {'daily': '', 'monthly': 'EXGEUS', 'annual': ''}, 26 | 'Greece': {'daily': '', 'monthly': 'EXGRUS', 'annual': ''}, 27 | 'Hong Kong': {'daily': 'DEXHKUS', 'monthly': 'EXHKUS', 'annual': 'AEXHKUS'}, 28 | 'India': {'daily': 'DEXINUS', 'monthly': 'EXINUS', 'annual': 'AEXINUS'}, 29 | 'Ireland': {'daily': '', 'monthly': 'EXUSIR', 'annual': ''}, 30 | 'Italy': {'daily': '', 'monthly': 'EXITUS', 'annual': ''}, 31 | 'Japan': {'daily': 'DEXJPUS', 'monthly': 'EXJPUS', 'annual': 'AEXJPUS'}, 32 | 'Malaysia': {'daily': 'DEXMAUS', 'monthly': 'EXMAUS', 'annual': 'AEXMAUS'}, 33 | 'Mexico': {'daily': 'DEXMXUS', 'monthly': 'EXMXUS', 'annual': 'AEXMXUS'}, 34 | 'Netherlands': {'daily': '', 'monthly': 'EXNEUS', 'annual': ''}, 35 | 'New Zealand': {'daily': 'DEXUSNZ', 'monthly': 'EXUSNZ', 'annual': 'AEXUSNZ'}, 36 | 'Norway': {'daily': 'DEXNOUS', 'monthly': 'EXNOUS', 'annual': 'AEXNOUS'}, 37 | 'Portugal': {'daily': '', 'monthly': 'EXPOUS', 'annual': ''}, 38 | 'Singapore': {'daily': 'DEXSIUS', 'monthly': 'EXSIUS', 'annual': 'AEXSIUS'}, 39 | 'South Africa': {'daily': 'DEXSFUS', 'monthly': 'EXSFUS', 'annual': 'AEXSFUS'}, 40 | 'South Korea': {'daily': 'DEXKOUS', 'monthly': 'EXKOUS', 'annual': 'AEXKOUS'}, 41 | 'Spain': {'daily': '', 'monthly': 'EXSPUS', 'annual': ''}, 42 | 'Sri Lanka': {'daily': '', 'monthly': 'EXSLUS', 'annual': ''}, 43 | 'Sweden': {'daily': 'DEXSDUS', 'monthly': 'EXSDUS', 'annual': 'AEXSDUS'}, 44 | 'Switzerland': {'daily': 'DEXSZUS', 'monthly': 'EXSZUS', 'annual': 'AEXSZUS'}, 45 | 'Taiwan': {'daily': 'DEXTAUS', 'monthly': 'EXTAUS', 'annual': 'AEXTAUS'}, 46 | 'Thailand': {'daily': 'DEXTHUS', 'monthly': 'EXTHUS', 'annual': 'AEXTHUS'}, 47 | 'United Kingdom': {'daily': 'DEXUSUK', 'monthly': 'EXUSUK', 'annual': ''}, 48 | 'Venezuela': {'daily': 'DEXVZUS', 'monthly': 'EXVZUS', 'annual': 'AEXVZUS'} 49 | } 50 | 51 | 52 | def extract_exchange_rates(frequency): 53 | for country in country_codes: 54 | country_frequency_ticker = country_codes[country][frequency] 55 | url = base_url + country_frequency_ticker + '.txt' 56 | if country_frequency_ticker: 57 | response = urllib.request.urlopen(url) 58 | lines = response.readlines() 59 | header = True 60 | for line in lines: 61 | line_str = line.decode('utf-8') 62 | if not header: 63 | date_value = line_str.split(' ') 64 | date = date_value[0] 65 | value = date_value[1:] 66 | value = "".join(value).strip() 67 | if value == '.': 68 | value = '' 69 | if country in inverse: 70 | if value != '': 71 | value = str(1 / float(value)) 72 | 73 | yield { 74 | 'Date': date, 75 | 'Country': country, 76 | 'Exchange rate': value 77 | } 78 | if 'DATE' in line_str and 'VALUE' in line_str and header: 79 | header = False 80 | 81 | 82 | exchange_rate_flow = Flow( 83 | add_metadata( 84 | name="us-euro-foreign-exchange-rate", 85 | title="USA / EUR Foreign Exchange Rate since 1999", 86 | homepage='https://fred.stlouisfed.org', 87 | sources=[ 88 | { 89 | "name": "federal-reserve-bank-st-louis", 90 | "title": "Federal Reserve Bank of St. Louis", 91 | "path": "https://fred.stlouisfed.org/categories/158" 92 | } 93 | ], 94 | licenses=[ 95 | { 96 | "id": "odc-pddl", 97 | "name": "public_domain_dedication_and_license", 98 | "version": "1.0", 99 | "url": "http://opendatacommons.org/licenses/pddl/1.0/" 100 | } 101 | ], 102 | views=[ 103 | { 104 | "name": "us-to-uk-foreign-exchange-rate", 105 | "title": "USA / GBP Foreign Exchange Rate since 1971", 106 | "resources": [ 107 | { 108 | "name": "daily", 109 | "transform": [ 110 | { 111 | "type": "filter", 112 | "expression": "data['Country'] === 'United Kingdom'" 113 | } 114 | ] 115 | } 116 | ], 117 | "specType": "simple", 118 | "spec": { 119 | "type": "line", 120 | "group": "Date", 121 | "series": [ 122 | "Exchange Rate" 123 | ] 124 | } 125 | }, 126 | { 127 | "name": "us-euro-foreign-exchange-rate", 128 | "title": "USA / EUR Foreign Exchange Rate since 1999", 129 | "resources": [ 130 | { 131 | "name": "daily", 132 | "transform": [ 133 | { 134 | "type": "filter", 135 | "expression": "data['Country'] === 'Euro'" 136 | } 137 | ] 138 | } 139 | ], 140 | "specType": "simple", 141 | "spec": { 142 | "type": "line", 143 | "group": "Date", 144 | "series": [ 145 | "Exchange Rate" 146 | ] 147 | } 148 | } 149 | ], 150 | version="0.2.0", 151 | readme=readme() 152 | ), 153 | extract_exchange_rates('daily'), 154 | extract_exchange_rates('monthly'), 155 | extract_exchange_rates('annual'), 156 | update_resource('res_1', **{'name': 'daily', 'path':'data/daily.csv', 'dpp:streaming': True}), 157 | update_resource('res_2', **{'name': 'monthly', 'path':'data/monthly.csv', 'dpp:streaming': True}), 158 | update_resource('res_3', **{'name': 'annual', 'path':'data/annual.csv', 'dpp:streaming': True}), 159 | set_type('Date', resources='daily', type='date', description="Date in ISO format"), 160 | set_type('Country', resources='daily', type='string', description="Name of a country"), 161 | set_type('Exchange rate', resources='daily', type='number', description="Foreign Exchange Rate to USD. Only AUD, IEP, NZD, GBP and EUR to USD."), 162 | set_type('Date', resources='monthly', type='date', description="Date in ISO format"), 163 | set_type('Country', resources='monthly', type='string', description="Name of a country"), 164 | set_type('Exchange rate', resources='monthly', type='number', description="Foreign Exchange Rate to USD. Only AUD, IEP, NZD, GBP and EUR to USD."), 165 | set_type('Date', resources='annual', type='date', description="Date in ISO format"), 166 | set_type('Country', resources='annual', type='string', description="Name of a country"), 167 | set_type('Exchange rate', resources='annual', type='number', description="Foreign Exchange Rate to USD. Only AUD, IEP, NZD, GBP and EUR to USD."), 168 | validate() 169 | ) 170 | 171 | 172 | def flow(parameters, datapackage, resources, stats): 173 | return exchange_rate_flow 174 | 175 | 176 | if __name__ == '__main__': 177 | exchange_rate_flow.process() 178 | -------------------------------------------------------------------------------- /data/yearly.csv: -------------------------------------------------------------------------------- 1 | Date,Country,Value 2 | 1971-01-01,Australia,0.8803 3 | 1972-01-01,Australia,0.8387 4 | 1973-01-01,Australia,0.7047 5 | 1974-01-01,Australia,0.695 6 | 1975-01-01,Australia,0.7647 7 | 1976-01-01,Australia,0.8187 8 | 1977-01-01,Australia,0.9024 9 | 1978-01-01,Australia,0.874 10 | 1979-01-01,Australia,0.8947 11 | 1980-01-01,Australia,0.8776 12 | 1981-01-01,Australia,0.8699 13 | 1982-01-01,Australia,0.9838 14 | 1983-01-01,Australia,1.1094 15 | 1984-01-01,Australia,1.137 16 | 1985-01-01,Australia,1.428 17 | 1986-01-01,Australia,1.4905 18 | 1987-01-01,Australia,1.4257 19 | 1988-01-01,Australia,1.2753 20 | 1989-01-01,Australia,1.2628 21 | 1990-01-01,Australia,1.2809 22 | 1991-01-01,Australia,1.2842 23 | 1992-01-01,Australia,1.3602 24 | 1993-01-01,Australia,1.4708 25 | 1994-01-01,Australia,1.3669 26 | 1995-01-01,Australia,1.3501 27 | 1996-01-01,Australia,1.2775 28 | 1997-01-01,Australia,1.3446 29 | 1998-01-01,Australia,1.5896 30 | 1999-01-01,Australia,1.5494 31 | 2000-01-01,Australia,1.7197 32 | 2001-01-01,Australia,1.9346 33 | 2002-01-01,Australia,1.8392 34 | 2003-01-01,Australia,1.5328 35 | 2004-01-01,Australia,1.3578 36 | 2005-01-01,Australia,1.3111 37 | 2006-01-01,Australia,1.3271 38 | 2007-01-01,Australia,1.1918 39 | 2008-01-01,Australia,1.1714 40 | 2009-01-01,Australia,1.2615 41 | 2010-01-01,Australia,1.087 42 | 2011-01-01,Australia,0.9679 43 | 2012-01-01,Australia,0.9653 44 | 2013-01-01,Australia,1.0327 45 | 2014-01-01,Australia,1.1069 46 | 2015-01-01,Australia,1.3294 47 | 2016-01-01,Australia,1.3432 48 | 2017-01-01,Australia,1.3036 49 | 1995-01-01,Brazil,0.9161 50 | 1996-01-01,Brazil,1.0051 51 | 1997-01-01,Brazil,1.0779 52 | 1998-01-01,Brazil,1.1605 53 | 1999-01-01,Brazil,1.8207 54 | 2000-01-01,Brazil,1.8301 55 | 2001-01-01,Brazil,2.3527 56 | 2002-01-01,Brazil,2.9213 57 | 2003-01-01,Brazil,3.0750 58 | 2004-01-01,Brazil,2.9262 59 | 2005-01-01,Brazil,2.4352 60 | 2006-01-01,Brazil,2.1738 61 | 2007-01-01,Brazil,1.9461 62 | 2008-01-01,Brazil,1.8326 63 | 2009-01-01,Brazil,1.9976 64 | 2010-01-01,Brazil,1.7600 65 | 2011-01-01,Brazil,1.6723 66 | 2012-01-01,Brazil,1.9535 67 | 2013-01-01,Brazil,2.1570 68 | 2014-01-01,Brazil,2.3512 69 | 2015-01-01,Brazil,3.3360 70 | 2016-01-01,Brazil,3.4839 71 | 2017-01-01,Brazil,3.1910 72 | 1971-01-01,Canada,1.0099 73 | 1972-01-01,Canada,0.9907 74 | 1973-01-01,Canada,1.0002 75 | 1974-01-01,Canada,0.9780 76 | 1975-01-01,Canada,1.0175 77 | 1976-01-01,Canada,0.9863 78 | 1977-01-01,Canada,1.0633 79 | 1978-01-01,Canada,1.1405 80 | 1979-01-01,Canada,1.1713 81 | 1980-01-01,Canada,1.1693 82 | 1981-01-01,Canada,1.1990 83 | 1982-01-01,Canada,1.2344 84 | 1983-01-01,Canada,1.2325 85 | 1984-01-01,Canada,1.2952 86 | 1985-01-01,Canada,1.3659 87 | 1986-01-01,Canada,1.3896 88 | 1987-01-01,Canada,1.3259 89 | 1988-01-01,Canada,1.2306 90 | 1989-01-01,Canada,1.1842 91 | 1990-01-01,Canada,1.1668 92 | 1991-01-01,Canada,1.1460 93 | 1992-01-01,Canada,1.2085 94 | 1993-01-01,Canada,1.2902 95 | 1994-01-01,Canada,1.3664 96 | 1995-01-01,Canada,1.3725 97 | 1996-01-01,Canada,1.3638 98 | 1997-01-01,Canada,1.3849 99 | 1998-01-01,Canada,1.4836 100 | 1999-01-01,Canada,1.4858 101 | 2000-01-01,Canada,1.4855 102 | 2001-01-01,Canada,1.5487 103 | 2002-01-01,Canada,1.5704 104 | 2003-01-01,Canada,1.4008 105 | 2004-01-01,Canada,1.3017 106 | 2005-01-01,Canada,1.2115 107 | 2006-01-01,Canada,1.1340 108 | 2007-01-01,Canada,1.0734 109 | 2008-01-01,Canada,1.0660 110 | 2009-01-01,Canada,1.1412 111 | 2010-01-01,Canada,1.0298 112 | 2011-01-01,Canada,0.9887 113 | 2012-01-01,Canada,0.9995 114 | 2013-01-01,Canada,1.0300 115 | 2014-01-01,Canada,1.1043 116 | 2015-01-01,Canada,1.2791 117 | 2016-01-01,Canada,1.3243 118 | 2017-01-01,Canada,1.2984 119 | 1981-01-01,China,1.7100 120 | 1982-01-01,China,1.8979 121 | 1983-01-01,China,1.9810 122 | 1984-01-01,China,2.3303 123 | 1985-01-01,China,2.9434 124 | 1986-01-01,China,3.4616 125 | 1987-01-01,China,3.7314 126 | 1988-01-01,China,3.7314 127 | 1989-01-01,China,3.7673 128 | 1990-01-01,China,4.7921 129 | 1991-01-01,China,5.3337 130 | 1992-01-01,China,5.5206 131 | 1993-01-01,China,5.7795 132 | 1994-01-01,China,8.6397 133 | 1995-01-01,China,8.3700 134 | 1996-01-01,China,8.3389 135 | 1997-01-01,China,8.3193 136 | 1998-01-01,China,8.3008 137 | 1999-01-01,China,8.2783 138 | 2000-01-01,China,8.2784 139 | 2001-01-01,China,8.2770 140 | 2002-01-01,China,8.2771 141 | 2003-01-01,China,8.2772 142 | 2004-01-01,China,8.2768 143 | 2005-01-01,China,8.1936 144 | 2006-01-01,China,7.9723 145 | 2007-01-01,China,7.6058 146 | 2008-01-01,China,6.9477 147 | 2009-01-01,China,6.8307 148 | 2010-01-01,China,6.7696 149 | 2011-01-01,China,6.4630 150 | 2012-01-01,China,6.3093 151 | 2013-01-01,China,6.1478 152 | 2014-01-01,China,6.1620 153 | 2015-01-01,China,6.2827 154 | 2016-01-01,China,6.6400 155 | 2017-01-01,China,6.7569 156 | 1971-01-01,Denmark,7.4048 157 | 1972-01-01,Denmark,6.9531 158 | 1973-01-01,Denmark,6.0447 159 | 1974-01-01,Denmark,6.0925 160 | 1975-01-01,Denmark,5.7481 161 | 1976-01-01,Denmark,6.0461 162 | 1977-01-01,Denmark,6.0050 163 | 1978-01-01,Denmark,5.5162 164 | 1979-01-01,Denmark,5.2623 165 | 1980-01-01,Denmark,5.6346 166 | 1981-01-01,Denmark,7.1351 167 | 1982-01-01,Denmark,8.3444 168 | 1983-01-01,Denmark,9.1484 169 | 1984-01-01,Denmark,10.3541 170 | 1985-01-01,Denmark,10.5983 171 | 1986-01-01,Denmark,8.0955 172 | 1987-01-01,Denmark,6.8478 173 | 1988-01-01,Denmark,6.7412 174 | 1989-01-01,Denmark,7.3210 175 | 1990-01-01,Denmark,6.1899 176 | 1991-01-01,Denmark,6.4038 177 | 1992-01-01,Denmark,6.0372 178 | 1993-01-01,Denmark,6.4863 179 | 1994-01-01,Denmark,6.3561 180 | 1995-01-01,Denmark,5.5999 181 | 1996-01-01,Denmark,5.8003 182 | 1997-01-01,Denmark,6.6092 183 | 1998-01-01,Denmark,6.7030 184 | 1999-01-01,Denmark,6.9900 185 | 2000-01-01,Denmark,8.0953 186 | 2001-01-01,Denmark,8.3323 187 | 2002-01-01,Denmark,7.8862 188 | 2003-01-01,Denmark,6.5774 189 | 2004-01-01,Denmark,5.9891 190 | 2005-01-01,Denmark,5.9953 191 | 2006-01-01,Denmark,5.9422 192 | 2007-01-01,Denmark,5.4413 193 | 2008-01-01,Denmark,5.0885 194 | 2009-01-01,Denmark,5.3574 195 | 2010-01-01,Denmark,5.6265 196 | 2011-01-01,Denmark,5.3535 197 | 2012-01-01,Denmark,5.7922 198 | 2013-01-01,Denmark,5.6170 199 | 2014-01-01,Denmark,5.6151 200 | 2015-01-01,Denmark,6.7263 201 | 2016-01-01,Denmark,6.7276 202 | 2017-01-01,Denmark,6.5957 203 | 1999-01-01,Euro,0.9387 204 | 2000-01-01,Euro,1.0832 205 | 2001-01-01,Euro,1.1171 206 | 2002-01-01,Euro,1.0578 207 | 2003-01-01,Euro,0.8833 208 | 2004-01-01,Euro,0.804 209 | 2005-01-01,Euro,0.8033 210 | 2006-01-01,Euro,0.796 211 | 2007-01-01,Euro,0.7293 212 | 2008-01-01,Euro,0.6791 213 | 2009-01-01,Euro,0.7176 214 | 2010-01-01,Euro,0.7541 215 | 2011-01-01,Euro,0.7178 216 | 2012-01-01,Euro,0.7777 217 | 2013-01-01,Euro,0.753 218 | 2014-01-01,Euro,0.752 219 | 2015-01-01,Euro,0.9012 220 | 2016-01-01,Euro,0.9032 221 | 2017-01-01,Euro,0.8849 222 | 1981-01-01,Hong Kong,5.5901 223 | 1982-01-01,Hong Kong,6.0698 224 | 1983-01-01,Hong Kong,7.2570 225 | 1984-01-01,Hong Kong,7.8189 226 | 1985-01-01,Hong Kong,7.7912 227 | 1986-01-01,Hong Kong,7.8038 228 | 1987-01-01,Hong Kong,7.7986 229 | 1988-01-01,Hong Kong,7.8068 230 | 1989-01-01,Hong Kong,7.8008 231 | 1990-01-01,Hong Kong,7.7899 232 | 1991-01-01,Hong Kong,7.7712 233 | 1992-01-01,Hong Kong,7.7402 234 | 1993-01-01,Hong Kong,7.7357 235 | 1994-01-01,Hong Kong,7.7290 236 | 1995-01-01,Hong Kong,7.7357 237 | 1996-01-01,Hong Kong,7.7345 238 | 1997-01-01,Hong Kong,7.7431 239 | 1998-01-01,Hong Kong,7.7467 240 | 1999-01-01,Hong Kong,7.7594 241 | 2000-01-01,Hong Kong,7.7924 242 | 2001-01-01,Hong Kong,7.7997 243 | 2002-01-01,Hong Kong,7.7996 244 | 2003-01-01,Hong Kong,7.7875 245 | 2004-01-01,Hong Kong,7.7891 246 | 2005-01-01,Hong Kong,7.7775 247 | 2006-01-01,Hong Kong,7.7681 248 | 2007-01-01,Hong Kong,7.8016 249 | 2008-01-01,Hong Kong,7.7862 250 | 2009-01-01,Hong Kong,7.7514 251 | 2010-01-01,Hong Kong,7.7687 252 | 2011-01-01,Hong Kong,7.7841 253 | 2012-01-01,Hong Kong,7.7569 254 | 2013-01-01,Hong Kong,7.7565 255 | 2014-01-01,Hong Kong,7.7545 256 | 2015-01-01,Hong Kong,7.7524 257 | 2016-01-01,Hong Kong,7.7620 258 | 2017-01-01,Hong Kong,7.7926 259 | 1973-01-01,India,7.6541 260 | 1974-01-01,India,8.0289 261 | 1975-01-01,India,8.4086 262 | 1976-01-01,India,8.9715 263 | 1977-01-01,India,8.7683 264 | 1978-01-01,India,8.1979 265 | 1979-01-01,India,8.1564 266 | 1980-01-01,India,7.8868 267 | 1981-01-01,India,8.6807 268 | 1982-01-01,India,9.4847 269 | 1983-01-01,India,10.1041 270 | 1984-01-01,India,11.3465 271 | 1985-01-01,India,12.3318 272 | 1986-01-01,India,12.5967 273 | 1987-01-01,India,12.9469 274 | 1988-01-01,India,13.8995 275 | 1989-01-01,India,16.2131 276 | 1990-01-01,India,17.4922 277 | 1991-01-01,India,22.7116 278 | 1992-01-01,India,28.1558 279 | 1993-01-01,India,31.2911 280 | 1994-01-01,India,31.3939 281 | 1995-01-01,India,32.4181 282 | 1996-01-01,India,35.5060 283 | 1997-01-01,India,36.3645 284 | 1998-01-01,India,41.3561 285 | 1999-01-01,India,43.1274 286 | 2000-01-01,India,44.9975 287 | 2001-01-01,India,47.2200 288 | 2002-01-01,India,48.6257 289 | 2003-01-01,India,46.5908 290 | 2004-01-01,India,45.2610 291 | 2005-01-01,India,44.0002 292 | 2006-01-01,India,45.1861 293 | 2007-01-01,India,41.1774 294 | 2008-01-01,India,43.3859 295 | 2009-01-01,India,48.3324 296 | 2010-01-01,India,45.6507 297 | 2011-01-01,India,46.5782 298 | 2012-01-01,India,53.3743 299 | 2013-01-01,India,58.5149 300 | 2014-01-01,India,60.9953 301 | 2015-01-01,India,64.1073 302 | 2016-01-01,India,67.1572 303 | 2017-01-01,India,65.0659 304 | 1971-01-01,Japan,347.7857 305 | 1972-01-01,Japan,303.1250 306 | 1973-01-01,Japan,271.3055 307 | 1974-01-01,Japan,291.8446 308 | 1975-01-01,Japan,296.7849 309 | 1976-01-01,Japan,296.4544 310 | 1977-01-01,Japan,268.6194 311 | 1978-01-01,Japan,210.3854 312 | 1979-01-01,Japan,219.0168 313 | 1980-01-01,Japan,226.6309 314 | 1981-01-01,Japan,220.6281 315 | 1982-01-01,Japan,249.0601 316 | 1983-01-01,Japan,237.5535 317 | 1984-01-01,Japan,237.4622 318 | 1985-01-01,Japan,238.4673 319 | 1986-01-01,Japan,168.3496 320 | 1987-01-01,Japan,144.6023 321 | 1988-01-01,Japan,128.1742 322 | 1989-01-01,Japan,138.0738 323 | 1990-01-01,Japan,144.9987 324 | 1991-01-01,Japan,134.5909 325 | 1992-01-01,Japan,126.7801 326 | 1993-01-01,Japan,111.0755 327 | 1994-01-01,Japan,102.1790 328 | 1995-01-01,Japan,93.9649 329 | 1996-01-01,Japan,108.7800 330 | 1997-01-01,Japan,121.0581 331 | 1998-01-01,Japan,130.9892 332 | 1999-01-01,Japan,113.7342 333 | 2000-01-01,Japan,107.8040 334 | 2001-01-01,Japan,121.5680 335 | 2002-01-01,Japan,125.2204 336 | 2003-01-01,Japan,115.9387 337 | 2004-01-01,Japan,108.1508 338 | 2005-01-01,Japan,110.1069 339 | 2006-01-01,Japan,116.3121 340 | 2007-01-01,Japan,117.7623 341 | 2008-01-01,Japan,103.3906 342 | 2009-01-01,Japan,93.6827 343 | 2010-01-01,Japan,87.7817 344 | 2011-01-01,Japan,79.6967 345 | 2012-01-01,Japan,79.8180 346 | 2013-01-01,Japan,97.5971 347 | 2014-01-01,Japan,105.7398 348 | 2015-01-01,Japan,121.0491 349 | 2016-01-01,Japan,108.6569 350 | 2017-01-01,Japan,112.0986 351 | 1971-01-01,Malaysia,3.0318 352 | 1972-01-01,Malaysia,2.8085 353 | 1973-01-01,Malaysia,2.4468 354 | 1974-01-01,Malaysia,2.4070 355 | 1975-01-01,Malaysia,2.4029 356 | 1976-01-01,Malaysia,2.5422 357 | 1977-01-01,Malaysia,2.4625 358 | 1978-01-01,Malaysia,2.3168 359 | 1979-01-01,Malaysia,2.1883 360 | 1980-01-01,Malaysia,2.1768 361 | 1981-01-01,Malaysia,2.3048 362 | 1982-01-01,Malaysia,2.3356 363 | 1983-01-01,Malaysia,2.3205 364 | 1984-01-01,Malaysia,2.3428 365 | 1985-01-01,Malaysia,2.4807 366 | 1986-01-01,Malaysia,2.5831 367 | 1987-01-01,Malaysia,2.5186 368 | 1988-01-01,Malaysia,2.6190 369 | 1989-01-01,Malaysia,2.7079 370 | 1990-01-01,Malaysia,2.7049 371 | 1991-01-01,Malaysia,2.7503 372 | 1992-01-01,Malaysia,2.5463 373 | 1993-01-01,Malaysia,2.5738 374 | 1994-01-01,Malaysia,2.6237 375 | 1995-01-01,Malaysia,2.5073 376 | 1996-01-01,Malaysia,2.5154 377 | 1997-01-01,Malaysia,2.8173 378 | 1998-01-01,Malaysia,3.9254 379 | 1999-01-01,Malaysia,3.8000 380 | 2000-01-01,Malaysia,3.8000 381 | 2001-01-01,Malaysia,3.8000 382 | 2002-01-01,Malaysia,3.8000 383 | 2003-01-01,Malaysia,3.8000 384 | 2004-01-01,Malaysia,3.8000 385 | 2005-01-01,Malaysia,3.7869 386 | 2006-01-01,Malaysia,3.6661 387 | 2007-01-01,Malaysia,3.4354 388 | 2008-01-01,Malaysia,3.3292 389 | 2009-01-01,Malaysia,3.5231 390 | 2010-01-01,Malaysia,3.2175 391 | 2011-01-01,Malaysia,3.0564 392 | 2012-01-01,Malaysia,3.0862 393 | 2013-01-01,Malaysia,3.1488 394 | 2014-01-01,Malaysia,3.2697 395 | 2015-01-01,Malaysia,3.9041 396 | 2016-01-01,Malaysia,4.1372 397 | 2017-01-01,Malaysia,4.2982 398 | 1993-01-01,Mexico,3.1237 399 | 1994-01-01,Mexico,3.3853 400 | 1995-01-01,Mexico,6.4467 401 | 1996-01-01,Mexico,7.6004 402 | 1997-01-01,Mexico,7.9177 403 | 1998-01-01,Mexico,9.1521 404 | 1999-01-01,Mexico,9.5533 405 | 2000-01-01,Mexico,9.4586 406 | 2001-01-01,Mexico,9.3366 407 | 2002-01-01,Mexico,9.6633 408 | 2003-01-01,Mexico,10.7925 409 | 2004-01-01,Mexico,11.2897 410 | 2005-01-01,Mexico,10.8938 411 | 2006-01-01,Mexico,10.9056 412 | 2007-01-01,Mexico,10.9281 413 | 2008-01-01,Mexico,11.1425 414 | 2009-01-01,Mexico,13.4979 415 | 2010-01-01,Mexico,12.6237 416 | 2011-01-01,Mexico,12.4270 417 | 2012-01-01,Mexico,13.1539 418 | 2013-01-01,Mexico,12.7584 419 | 2014-01-01,Mexico,13.3022 420 | 2015-01-01,Mexico,15.8735 421 | 2016-01-01,Mexico,18.6674 422 | 2017-01-01,Mexico,18.8841 423 | 1971-01-01,New Zealand,0.88 424 | 1972-01-01,New Zealand,0.8379 425 | 1973-01-01,New Zealand,0.7355 426 | 1974-01-01,New Zealand,0.7142 427 | 1975-01-01,New Zealand,0.8254 428 | 1976-01-01,New Zealand,1.0089 429 | 1977-01-01,New Zealand,1.0321 430 | 1978-01-01,New Zealand,0.9649 431 | 1979-01-01,New Zealand,0.9782 432 | 1980-01-01,New Zealand,1.0273 433 | 1981-01-01,New Zealand,1.1514 434 | 1982-01-01,New Zealand,1.3316 435 | 1983-01-01,New Zealand,1.4972 436 | 1984-01-01,New Zealand,1.7289 437 | 1985-01-01,New Zealand,2.0101 438 | 1986-01-01,New Zealand,1.9062 439 | 1987-01-01,New Zealand,1.6855 440 | 1988-01-01,New Zealand,1.5253 441 | 1989-01-01,New Zealand,1.6725 442 | 1990-01-01,New Zealand,1.6773 443 | 1991-01-01,New Zealand,1.7292 444 | 1992-01-01,New Zealand,1.8591 445 | 1993-01-01,New Zealand,1.8474 446 | 1994-01-01,New Zealand,1.6846 447 | 1995-01-01,New Zealand,1.5237 448 | 1996-01-01,New Zealand,1.4541 449 | 1997-01-01,New Zealand,1.5094 450 | 1998-01-01,New Zealand,1.8653 451 | 1999-01-01,New Zealand,1.8896 452 | 2000-01-01,New Zealand,2.1891 453 | 2001-01-01,New Zealand,2.3798 454 | 2002-01-01,New Zealand,2.1529 455 | 2003-01-01,New Zealand,1.7176 456 | 2004-01-01,New Zealand,1.5053 457 | 2005-01-01,New Zealand,1.4186 458 | 2006-01-01,New Zealand,1.5404 459 | 2007-01-01,New Zealand,1.3578 460 | 2008-01-01,New Zealand,1.3984 461 | 2009-01-01,New Zealand,1.5728 462 | 2010-01-01,New Zealand,1.3858 463 | 2011-01-01,New Zealand,1.2626 464 | 2012-01-01,New Zealand,1.2338 465 | 2013-01-01,New Zealand,1.2189 466 | 2014-01-01,New Zealand,1.2029 467 | 2015-01-01,New Zealand,1.4284 468 | 2016-01-01,New Zealand,1.4335 469 | 2017-01-01,New Zealand,1.4063 470 | 1971-01-01,Norway,7.0222 471 | 1972-01-01,Norway,6.5875 472 | 1973-01-01,Norway,5.7535 473 | 1974-01-01,Norway,5.5255 474 | 1975-01-01,Norway,5.2283 475 | 1976-01-01,Norway,5.4590 476 | 1977-01-01,Norway,5.3240 477 | 1978-01-01,Norway,5.2467 478 | 1979-01-01,Norway,5.0651 479 | 1980-01-01,Norway,4.9382 480 | 1981-01-01,Norway,5.7431 481 | 1982-01-01,Norway,6.4568 482 | 1983-01-01,Norway,7.3013 483 | 1984-01-01,Norway,8.1597 484 | 1985-01-01,Norway,8.5934 485 | 1986-01-01,Norway,7.3985 486 | 1987-01-01,Norway,6.7409 487 | 1988-01-01,Norway,6.5243 488 | 1989-01-01,Norway,6.9131 489 | 1990-01-01,Norway,6.2621 490 | 1991-01-01,Norway,6.4912 491 | 1992-01-01,Norway,6.2142 492 | 1993-01-01,Norway,7.1009 493 | 1994-01-01,Norway,7.0553 494 | 1995-01-01,Norway,6.3355 495 | 1996-01-01,Norway,6.4594 496 | 1997-01-01,Norway,7.0857 497 | 1998-01-01,Norway,7.5521 498 | 1999-01-01,Norway,7.8071 499 | 2000-01-01,Norway,8.8131 500 | 2001-01-01,Norway,8.9964 501 | 2002-01-01,Norway,7.9839 502 | 2003-01-01,Norway,7.0803 503 | 2004-01-01,Norway,6.7399 504 | 2005-01-01,Norway,6.4412 505 | 2006-01-01,Norway,6.4095 506 | 2007-01-01,Norway,5.8557 507 | 2008-01-01,Norway,5.6365 508 | 2009-01-01,Norway,6.2908 509 | 2010-01-01,Norway,6.0451 510 | 2011-01-01,Norway,5.6022 511 | 2012-01-01,Norway,5.8181 512 | 2013-01-01,Norway,5.8772 513 | 2014-01-01,Norway,6.2969 514 | 2015-01-01,Norway,8.0681 515 | 2016-01-01,Norway,8.3936 516 | 2017-01-01,Norway,8.2679 517 | 1981-01-01,Singapore,2.1138 518 | 1982-01-01,Singapore,2.1406 519 | 1983-01-01,Singapore,2.1137 520 | 1984-01-01,Singapore,2.1327 521 | 1985-01-01,Singapore,2.2009 522 | 1986-01-01,Singapore,2.1783 523 | 1987-01-01,Singapore,2.1059 524 | 1988-01-01,Singapore,2.0133 525 | 1989-01-01,Singapore,1.9511 526 | 1990-01-01,Singapore,1.8134 527 | 1991-01-01,Singapore,1.7283 528 | 1992-01-01,Singapore,1.6294 529 | 1993-01-01,Singapore,1.6158 530 | 1994-01-01,Singapore,1.5275 531 | 1995-01-01,Singapore,1.4171 532 | 1996-01-01,Singapore,1.4100 533 | 1997-01-01,Singapore,1.4857 534 | 1998-01-01,Singapore,1.6722 535 | 1999-01-01,Singapore,1.6951 536 | 2000-01-01,Singapore,1.7250 537 | 2001-01-01,Singapore,1.7930 538 | 2002-01-01,Singapore,1.7908 539 | 2003-01-01,Singapore,1.7429 540 | 2004-01-01,Singapore,1.6902 541 | 2005-01-01,Singapore,1.6639 542 | 2006-01-01,Singapore,1.5882 543 | 2007-01-01,Singapore,1.5065 544 | 2008-01-01,Singapore,1.4140 545 | 2009-01-01,Singapore,1.4543 546 | 2010-01-01,Singapore,1.3629 547 | 2011-01-01,Singapore,1.2565 548 | 2012-01-01,Singapore,1.2492 549 | 2013-01-01,Singapore,1.2511 550 | 2014-01-01,Singapore,1.2665 551 | 2015-01-01,Singapore,1.3746 552 | 2016-01-01,Singapore,1.3800 553 | 2017-01-01,Singapore,1.3802 554 | 1971-01-01,South Africa,0.7129 555 | 1972-01-01,South Africa,0.7732 556 | 1973-01-01,South Africa,0.6964 557 | 1974-01-01,South Africa,0.6806 558 | 1975-01-01,South Africa,0.7408 559 | 1976-01-01,South Africa,0.8707 560 | 1977-01-01,South Africa,0.8697 561 | 1978-01-01,South Africa,0.8695 562 | 1979-01-01,South Africa,0.8424 563 | 1980-01-01,South Africa,0.7796 564 | 1981-01-01,South Africa,0.8787 565 | 1982-01-01,South Africa,1.0876 566 | 1983-01-01,South Africa,1.1146 567 | 1984-01-01,South Africa,1.4761 568 | 1985-01-01,South Africa,2.2344 569 | 1986-01-01,South Africa,2.2919 570 | 1987-01-01,South Africa,2.0385 571 | 1988-01-01,South Africa,2.2770 572 | 1989-01-01,South Africa,2.6243 573 | 1990-01-01,South Africa,2.5885 574 | 1991-01-01,South Africa,2.7633 575 | 1992-01-01,South Africa,2.8524 576 | 1993-01-01,South Africa,3.2721 577 | 1994-01-01,South Africa,3.5526 578 | 1995-01-01,South Africa,3.6284 579 | 1996-01-01,South Africa,4.3011 580 | 1997-01-01,South Africa,4.6072 581 | 1998-01-01,South Africa,5.5417 582 | 1999-01-01,South Africa,6.1191 583 | 2000-01-01,South Africa,6.9468 584 | 2001-01-01,South Africa,8.6093 585 | 2002-01-01,South Africa,10.5176 586 | 2003-01-01,South Africa,7.5550 587 | 2004-01-01,South Africa,6.4402 588 | 2005-01-01,South Africa,6.3606 589 | 2006-01-01,South Africa,6.7668 590 | 2007-01-01,South Africa,7.0477 591 | 2008-01-01,South Africa,8.2480 592 | 2009-01-01,South Africa,8.4117 593 | 2010-01-01,South Africa,7.3159 594 | 2011-01-01,South Africa,7.2510 595 | 2012-01-01,South Africa,8.2014 596 | 2013-01-01,South Africa,9.6436 597 | 2014-01-01,South Africa,10.8420 598 | 2015-01-01,South Africa,12.7645 599 | 2016-01-01,South Africa,14.6821 600 | 2017-01-01,South Africa,13.2943 601 | 1981-01-01,South Korea,686.0734 602 | 1982-01-01,South Korea,731.9442 603 | 1983-01-01,South Korea,776.0494 604 | 1984-01-01,South Korea,807.9294 605 | 1985-01-01,South Korea,872.4466 606 | 1986-01-01,South Korea,884.5968 607 | 1987-01-01,South Korea,826.1587 608 | 1988-01-01,South Korea,734.5231 609 | 1989-01-01,South Korea,674.1286 610 | 1990-01-01,South Korea,710.6440 611 | 1991-01-01,South Korea,736.7331 612 | 1992-01-01,South Korea,784.6608 613 | 1993-01-01,South Korea,805.7516 614 | 1994-01-01,South Korea,806.9319 615 | 1995-01-01,South Korea,772.6853 616 | 1996-01-01,South Korea,804.9968 617 | 1997-01-01,South Korea,953.1904 618 | 1998-01-01,South Korea,1400.4036 619 | 1999-01-01,South Korea,1189.8361 620 | 2000-01-01,South Korea,1130.8975 621 | 2001-01-01,South Korea,1292.0149 622 | 2002-01-01,South Korea,1250.3140 623 | 2003-01-01,South Korea,1192.0817 624 | 2004-01-01,South Korea,1145.2364 625 | 2005-01-01,South Korea,1023.7492 626 | 2006-01-01,South Korea,954.3210 627 | 2007-01-01,South Korea,928.9717 628 | 2008-01-01,South Korea,1098.7061 629 | 2009-01-01,South Korea,1274.6252 630 | 2010-01-01,South Korea,1155.7389 631 | 2011-01-01,South Korea,1106.9400 632 | 2012-01-01,South Korea,1126.1621 633 | 2013-01-01,South Korea,1094.6749 634 | 2014-01-01,South Korea,1052.2924 635 | 2015-01-01,South Korea,1130.9603 636 | 2016-01-01,South Korea,1159.3422 637 | 2017-01-01,South Korea,1129.0435 638 | 1971-01-01,Sweden,5.1051 639 | 1972-01-01,Sweden,4.7571 640 | 1973-01-01,Sweden,4.3619 641 | 1974-01-01,Sweden,4.4387 642 | 1975-01-01,Sweden,4.1531 643 | 1976-01-01,Sweden,4.3580 644 | 1977-01-01,Sweden,4.4802 645 | 1978-01-01,Sweden,4.5207 646 | 1979-01-01,Sweden,4.2893 647 | 1980-01-01,Sweden,4.2310 648 | 1981-01-01,Sweden,5.0660 649 | 1982-01-01,Sweden,6.2839 650 | 1983-01-01,Sweden,7.6718 651 | 1984-01-01,Sweden,8.2708 652 | 1985-01-01,Sweden,8.6032 653 | 1986-01-01,Sweden,7.1273 654 | 1987-01-01,Sweden,6.3469 655 | 1988-01-01,Sweden,6.1370 656 | 1989-01-01,Sweden,6.4559 657 | 1990-01-01,Sweden,5.9231 658 | 1991-01-01,Sweden,6.0521 659 | 1992-01-01,Sweden,5.8258 660 | 1993-01-01,Sweden,7.7956 661 | 1994-01-01,Sweden,7.7161 662 | 1995-01-01,Sweden,7.1406 663 | 1996-01-01,Sweden,6.7082 664 | 1997-01-01,Sweden,7.6447 665 | 1998-01-01,Sweden,7.9522 666 | 1999-01-01,Sweden,8.2740 667 | 2000-01-01,Sweden,9.1735 668 | 2001-01-01,Sweden,10.3425 669 | 2002-01-01,Sweden,9.7233 670 | 2003-01-01,Sweden,8.0787 671 | 2004-01-01,Sweden,7.3480 672 | 2005-01-01,Sweden,7.4710 673 | 2006-01-01,Sweden,7.3718 674 | 2007-01-01,Sweden,6.7550 675 | 2008-01-01,Sweden,6.5846 676 | 2009-01-01,Sweden,7.6539 677 | 2010-01-01,Sweden,7.2053 678 | 2011-01-01,Sweden,6.4878 679 | 2012-01-01,Sweden,6.7721 680 | 2013-01-01,Sweden,6.5124 681 | 2014-01-01,Sweden,6.8576 682 | 2015-01-01,Sweden,8.4350 683 | 2016-01-01,Sweden,8.5541 684 | 2017-01-01,Sweden,8.5430 685 | 1971-01-01,Switzerland,4.1171 686 | 1972-01-01,Switzerland,3.8186 687 | 1973-01-01,Switzerland,3.1688 688 | 1974-01-01,Switzerland,2.9805 689 | 1975-01-01,Switzerland,2.5839 690 | 1976-01-01,Switzerland,2.5002 691 | 1977-01-01,Switzerland,2.4065 692 | 1978-01-01,Switzerland,1.7907 693 | 1979-01-01,Switzerland,1.6644 694 | 1980-01-01,Switzerland,1.6772 695 | 1981-01-01,Switzerland,1.9675 696 | 1982-01-01,Switzerland,2.0319 697 | 1983-01-01,Switzerland,2.1007 698 | 1984-01-01,Switzerland,2.3500 699 | 1985-01-01,Switzerland,2.4552 700 | 1986-01-01,Switzerland,1.7979 701 | 1987-01-01,Switzerland,1.4918 702 | 1988-01-01,Switzerland,1.4643 703 | 1989-01-01,Switzerland,1.6369 704 | 1990-01-01,Switzerland,1.3901 705 | 1991-01-01,Switzerland,1.4356 706 | 1992-01-01,Switzerland,1.4064 707 | 1993-01-01,Switzerland,1.4781 708 | 1994-01-01,Switzerland,1.3667 709 | 1995-01-01,Switzerland,1.1812 710 | 1996-01-01,Switzerland,1.2361 711 | 1997-01-01,Switzerland,1.4514 712 | 1998-01-01,Switzerland,1.4506 713 | 1999-01-01,Switzerland,1.5045 714 | 2000-01-01,Switzerland,1.6904 715 | 2001-01-01,Switzerland,1.6891 716 | 2002-01-01,Switzerland,1.5567 717 | 2003-01-01,Switzerland,1.3450 718 | 2004-01-01,Switzerland,1.2428 719 | 2005-01-01,Switzerland,1.2459 720 | 2006-01-01,Switzerland,1.2532 721 | 2007-01-01,Switzerland,1.1999 722 | 2008-01-01,Switzerland,1.0816 723 | 2009-01-01,Switzerland,1.0860 724 | 2010-01-01,Switzerland,1.0432 725 | 2011-01-01,Switzerland,0.8862 726 | 2012-01-01,Switzerland,0.9377 727 | 2013-01-01,Switzerland,0.9269 728 | 2014-01-01,Switzerland,0.9147 729 | 2015-01-01,Switzerland,0.9628 730 | 2016-01-01,Switzerland,0.9848 731 | 2017-01-01,Switzerland,0.9842 732 | 1983-01-01,Taiwan,39.2850 733 | 1984-01-01,Taiwan,39.6360 734 | 1985-01-01,Taiwan,39.9000 735 | 1986-01-01,Taiwan,37.8516 736 | 1987-01-01,Taiwan,31.7530 737 | 1988-01-01,Taiwan,28.6364 738 | 1989-01-01,Taiwan,26.4067 739 | 1990-01-01,Taiwan,26.9179 740 | 1991-01-01,Taiwan,26.7593 741 | 1992-01-01,Taiwan,25.1603 742 | 1993-01-01,Taiwan,26.4155 743 | 1994-01-01,Taiwan,26.4648 744 | 1995-01-01,Taiwan,26.4955 745 | 1996-01-01,Taiwan,27.4680 746 | 1997-01-01,Taiwan,28.7751 747 | 1998-01-01,Taiwan,33.5473 748 | 1999-01-01,Taiwan,32.3222 749 | 2000-01-01,Taiwan,31.2599 750 | 2001-01-01,Taiwan,33.8243 751 | 2002-01-01,Taiwan,34.5363 752 | 2003-01-01,Taiwan,34.4047 753 | 2004-01-01,Taiwan,33.3719 754 | 2005-01-01,Taiwan,32.1312 755 | 2006-01-01,Taiwan,32.5065 756 | 2007-01-01,Taiwan,32.8547 757 | 2008-01-01,Taiwan,31.5205 758 | 2009-01-01,Taiwan,33.0200 759 | 2010-01-01,Taiwan,31.4974 760 | 2011-01-01,Taiwan,29.3822 761 | 2012-01-01,Taiwan,29.5581 762 | 2013-01-01,Taiwan,29.6800 763 | 2014-01-01,Taiwan,30.2992 764 | 2015-01-01,Taiwan,31.7443 765 | 2016-01-01,Taiwan,32.2264 766 | 2017-01-01,Taiwan,30.4016 767 | 1981-01-01,Thailand,21.8185 768 | 1982-01-01,Thailand,23.0143 769 | 1983-01-01,Thailand,22.9917 770 | 1984-01-01,Thailand,23.5829 771 | 1985-01-01,Thailand,27.1941 772 | 1986-01-01,Thailand,26.3150 773 | 1987-01-01,Thailand,25.7708 774 | 1988-01-01,Thailand,25.3123 775 | 1989-01-01,Thailand,25.7195 776 | 1990-01-01,Thailand,25.6094 777 | 1991-01-01,Thailand,25.5416 778 | 1992-01-01,Thailand,25.4110 779 | 1993-01-01,Thailand,25.3326 780 | 1994-01-01,Thailand,25.1608 781 | 1995-01-01,Thailand,24.9214 782 | 1996-01-01,Thailand,25.3587 783 | 1997-01-01,Thailand,31.0722 784 | 1998-01-01,Thailand,41.2623 785 | 1999-01-01,Thailand,37.8871 786 | 2000-01-01,Thailand,40.2098 787 | 2001-01-01,Thailand,44.5319 788 | 2002-01-01,Thailand,43.0192 789 | 2003-01-01,Thailand,41.5559 790 | 2004-01-01,Thailand,40.2711 791 | 2005-01-01,Thailand,40.2516 792 | 2006-01-01,Thailand,37.8763 793 | 2007-01-01,Thailand,32.2030 794 | 2008-01-01,Thailand,32.9624 795 | 2009-01-01,Thailand,34.3104 796 | 2010-01-01,Thailand,31.6997 797 | 2011-01-01,Thailand,30.4622 798 | 2012-01-01,Thailand,31.0546 799 | 2013-01-01,Thailand,30.6963 800 | 2014-01-01,Thailand,32.4615 801 | 2015-01-01,Thailand,34.2415 802 | 2016-01-01,Thailand,35.2635 803 | 2017-01-01,Thailand,33.9134 804 | 1995-01-01,Venezuela,0.1748 805 | 1996-01-01,Venezuela,0.4172 806 | 1997-01-01,Venezuela,0.4889 807 | 1998-01-01,Venezuela,0.5484 808 | 1999-01-01,Venezuela,0.6068 809 | 2000-01-01,Venezuela,0.6805 810 | 2001-01-01,Venezuela,0.7241 811 | 2002-01-01,Venezuela,1.1612 812 | 2003-01-01,Venezuela,1.6134 813 | 2004-01-01,Venezuela,1.8861 814 | 2005-01-01,Venezuela,2.1071 815 | 2006-01-01,Venezuela,2.1446 816 | 2007-01-01,Venezuela,2.1446 817 | 2008-01-01,Venezuela,2.1446 818 | 2009-01-01,Venezuela,2.1445 819 | 2010-01-01,Venezuela,4.2380 820 | 2011-01-01,Venezuela,4.2893 821 | 2012-01-01,Venezuela,4.2893 822 | 2013-01-01,Venezuela,6.0697 823 | 2014-01-01,Venezuela,6.2842 824 | 2015-01-01,Venezuela,6.2842 825 | 2016-01-01,Venezuela,9.2839 826 | 2017-01-01,Venezuela,9.9750 827 | -------------------------------------------------------------------------------- /data/annual.csv: -------------------------------------------------------------------------------- 1 | Date,Country,Exchange rate 2 | 1971-01-01,Australia,0.8802816901408451 3 | 1972-01-01,Australia,0.8387150884844419 4 | 1973-01-01,Australia,0.704721634954193 5 | 1974-01-01,Australia,0.6949753283758426 6 | 1975-01-01,Australia,0.7647013841095052 7 | 1976-01-01,Australia,0.8186655751125665 8 | 1977-01-01,Australia,0.9023641941887746 9 | 1978-01-01,Australia,0.87404947120007 10 | 1979-01-01,Australia,0.8946944618412813 11 | 1980-01-01,Australia,0.8775778850372971 12 | 1981-01-01,Australia,0.8699434536755111 13 | 1982-01-01,Australia,0.9837678307919332 14 | 1983-01-01,Australia,1.1093854004881296 15 | 1984-01-01,Australia,1.137009664582149 16 | 1985-01-01,Australia,1.4279594459517349 17 | 1986-01-01,Australia,1.4905351021016544 18 | 1987-01-01,Australia,1.42571998859424 19 | 1988-01-01,Australia,1.2753475322025252 20 | 1989-01-01,Australia,1.2627857052658162 21 | 1990-01-01,Australia,1.2809017548354042 22 | 1991-01-01,Australia,1.284191601386927 23 | 1992-01-01,Australia,1.3601741022850926 24 | 1993-01-01,Australia,1.4708045300779526 25 | 1994-01-01,Australia,1.366867140513942 26 | 1995-01-01,Australia,1.3500742540839745 27 | 1996-01-01,Australia,1.2774655084312723 28 | 1997-01-01,Australia,1.3446282102998521 29 | 1998-01-01,Australia,1.5895724050230489 30 | 1999-01-01,Australia,1.549426712116517 31 | 2000-01-01,Australia,1.7196904557179706 32 | 2001-01-01,Australia,1.934610176049526 33 | 2002-01-01,Australia,1.8392495861688432 34 | 2003-01-01,Australia,1.5328019619865114 35 | 2004-01-01,Australia,1.357773251866938 36 | 2005-01-01,Australia,1.3111315064901008 37 | 2006-01-01,Australia,1.3271400132714002 38 | 2007-01-01,Australia,1.1917530687641522 39 | 2008-01-01,Australia,1.1713716762328688 40 | 2009-01-01,Australia,1.2615112905260504 41 | 2010-01-01,Australia,1.0869565217391304 42 | 2011-01-01,Australia,0.9678668215253582 43 | 2012-01-01,Australia,0.9653441451877594 44 | 2013-01-01,Australia,1.0327377878756583 45 | 2014-01-01,Australia,1.1069293779056897 46 | 2015-01-01,Australia,1.329433661260303 47 | 2016-01-01,Australia,1.3431833445265278 48 | 2017-01-01,Australia,1.3036110024768608 49 | 1995-01-01,Brazil,0.9161 50 | 1996-01-01,Brazil,1.0051 51 | 1997-01-01,Brazil,1.0779 52 | 1998-01-01,Brazil,1.1605 53 | 1999-01-01,Brazil,1.8207 54 | 2000-01-01,Brazil,1.8301 55 | 2001-01-01,Brazil,2.3527 56 | 2002-01-01,Brazil,2.9213 57 | 2003-01-01,Brazil,3.0750 58 | 2004-01-01,Brazil,2.9262 59 | 2005-01-01,Brazil,2.4352 60 | 2006-01-01,Brazil,2.1738 61 | 2007-01-01,Brazil,1.9461 62 | 2008-01-01,Brazil,1.8326 63 | 2009-01-01,Brazil,1.9976 64 | 2010-01-01,Brazil,1.7600 65 | 2011-01-01,Brazil,1.6723 66 | 2012-01-01,Brazil,1.9535 67 | 2013-01-01,Brazil,2.1570 68 | 2014-01-01,Brazil,2.3512 69 | 2015-01-01,Brazil,3.3360 70 | 2016-01-01,Brazil,3.4839 71 | 2017-01-01,Brazil,3.1910 72 | 1971-01-01,Canada,1.0099 73 | 1972-01-01,Canada,0.9907 74 | 1973-01-01,Canada,1.0002 75 | 1974-01-01,Canada,0.9780 76 | 1975-01-01,Canada,1.0175 77 | 1976-01-01,Canada,0.9863 78 | 1977-01-01,Canada,1.0633 79 | 1978-01-01,Canada,1.1405 80 | 1979-01-01,Canada,1.1713 81 | 1980-01-01,Canada,1.1693 82 | 1981-01-01,Canada,1.1990 83 | 1982-01-01,Canada,1.2344 84 | 1983-01-01,Canada,1.2325 85 | 1984-01-01,Canada,1.2952 86 | 1985-01-01,Canada,1.3659 87 | 1986-01-01,Canada,1.3896 88 | 1987-01-01,Canada,1.3259 89 | 1988-01-01,Canada,1.2306 90 | 1989-01-01,Canada,1.1842 91 | 1990-01-01,Canada,1.1668 92 | 1991-01-01,Canada,1.1460 93 | 1992-01-01,Canada,1.2085 94 | 1993-01-01,Canada,1.2902 95 | 1994-01-01,Canada,1.3664 96 | 1995-01-01,Canada,1.3725 97 | 1996-01-01,Canada,1.3638 98 | 1997-01-01,Canada,1.3849 99 | 1998-01-01,Canada,1.4836 100 | 1999-01-01,Canada,1.4858 101 | 2000-01-01,Canada,1.4855 102 | 2001-01-01,Canada,1.5487 103 | 2002-01-01,Canada,1.5704 104 | 2003-01-01,Canada,1.4008 105 | 2004-01-01,Canada,1.3017 106 | 2005-01-01,Canada,1.2115 107 | 2006-01-01,Canada,1.1340 108 | 2007-01-01,Canada,1.0734 109 | 2008-01-01,Canada,1.0660 110 | 2009-01-01,Canada,1.1412 111 | 2010-01-01,Canada,1.0298 112 | 2011-01-01,Canada,0.9887 113 | 2012-01-01,Canada,0.9995 114 | 2013-01-01,Canada,1.0300 115 | 2014-01-01,Canada,1.1043 116 | 2015-01-01,Canada,1.2791 117 | 2016-01-01,Canada,1.3243 118 | 2017-01-01,Canada,1.2984 119 | 1981-01-01,China,1.7100 120 | 1982-01-01,China,1.8979 121 | 1983-01-01,China,1.9810 122 | 1984-01-01,China,2.3303 123 | 1985-01-01,China,2.9434 124 | 1986-01-01,China,3.4616 125 | 1987-01-01,China,3.7314 126 | 1988-01-01,China,3.7314 127 | 1989-01-01,China,3.7673 128 | 1990-01-01,China,4.7921 129 | 1991-01-01,China,5.3337 130 | 1992-01-01,China,5.5206 131 | 1993-01-01,China,5.7795 132 | 1994-01-01,China,8.6397 133 | 1995-01-01,China,8.3700 134 | 1996-01-01,China,8.3389 135 | 1997-01-01,China,8.3193 136 | 1998-01-01,China,8.3008 137 | 1999-01-01,China,8.2783 138 | 2000-01-01,China,8.2784 139 | 2001-01-01,China,8.2770 140 | 2002-01-01,China,8.2771 141 | 2003-01-01,China,8.2772 142 | 2004-01-01,China,8.2768 143 | 2005-01-01,China,8.1936 144 | 2006-01-01,China,7.9723 145 | 2007-01-01,China,7.6058 146 | 2008-01-01,China,6.9477 147 | 2009-01-01,China,6.8307 148 | 2010-01-01,China,6.7696 149 | 2011-01-01,China,6.4630 150 | 2012-01-01,China,6.3093 151 | 2013-01-01,China,6.1478 152 | 2014-01-01,China,6.1620 153 | 2015-01-01,China,6.2827 154 | 2016-01-01,China,6.6400 155 | 2017-01-01,China,6.7569 156 | 1971-01-01,Denmark,7.4048 157 | 1972-01-01,Denmark,6.9531 158 | 1973-01-01,Denmark,6.0447 159 | 1974-01-01,Denmark,6.0925 160 | 1975-01-01,Denmark,5.7481 161 | 1976-01-01,Denmark,6.0461 162 | 1977-01-01,Denmark,6.0050 163 | 1978-01-01,Denmark,5.5162 164 | 1979-01-01,Denmark,5.2623 165 | 1980-01-01,Denmark,5.6346 166 | 1981-01-01,Denmark,7.1351 167 | 1982-01-01,Denmark,8.3444 168 | 1983-01-01,Denmark,9.1484 169 | 1984-01-01,Denmark,10.3541 170 | 1985-01-01,Denmark,10.5983 171 | 1986-01-01,Denmark,8.0955 172 | 1987-01-01,Denmark,6.8478 173 | 1988-01-01,Denmark,6.7412 174 | 1989-01-01,Denmark,7.3210 175 | 1990-01-01,Denmark,6.1899 176 | 1991-01-01,Denmark,6.4038 177 | 1992-01-01,Denmark,6.0372 178 | 1993-01-01,Denmark,6.4863 179 | 1994-01-01,Denmark,6.3561 180 | 1995-01-01,Denmark,5.5999 181 | 1996-01-01,Denmark,5.8003 182 | 1997-01-01,Denmark,6.6092 183 | 1998-01-01,Denmark,6.7030 184 | 1999-01-01,Denmark,6.9900 185 | 2000-01-01,Denmark,8.0953 186 | 2001-01-01,Denmark,8.3323 187 | 2002-01-01,Denmark,7.8862 188 | 2003-01-01,Denmark,6.5774 189 | 2004-01-01,Denmark,5.9891 190 | 2005-01-01,Denmark,5.9953 191 | 2006-01-01,Denmark,5.9422 192 | 2007-01-01,Denmark,5.4413 193 | 2008-01-01,Denmark,5.0885 194 | 2009-01-01,Denmark,5.3574 195 | 2010-01-01,Denmark,5.6265 196 | 2011-01-01,Denmark,5.3535 197 | 2012-01-01,Denmark,5.7922 198 | 2013-01-01,Denmark,5.6170 199 | 2014-01-01,Denmark,5.6151 200 | 2015-01-01,Denmark,6.7263 201 | 2016-01-01,Denmark,6.7276 202 | 2017-01-01,Denmark,6.5957 203 | 1999-01-01,Euro,0.9387027128508402 204 | 2000-01-01,Euro,1.0831889081455806 205 | 2001-01-01,Euro,1.1170688114387846 206 | 2002-01-01,Euro,1.0577533319229955 207 | 2003-01-01,Euro,0.8833141948591113 208 | 2004-01-01,Euro,0.8039877793857533 209 | 2005-01-01,Euro,0.80327737167644 210 | 2006-01-01,Euro,0.7959882193743533 211 | 2007-01-01,Euro,0.7293414047115455 212 | 2008-01-01,Euro,0.6790710308298249 213 | 2009-01-01,Euro,0.7176175098672408 214 | 2010-01-01,Euro,0.7540909433677702 215 | 2011-01-01,Euro,0.7178235589692054 216 | 2012-01-01,Euro,0.777665448324131 217 | 2013-01-01,Euro,0.7529553497477599 218 | 2014-01-01,Euro,0.7520493344363389 219 | 2015-01-01,Euro,0.9012256669069936 220 | 2016-01-01,Euro,0.9031791907514451 221 | 2017-01-01,Euro,0.8848774444739402 222 | 1981-01-01,Hong Kong,5.5901 223 | 1982-01-01,Hong Kong,6.0698 224 | 1983-01-01,Hong Kong,7.2570 225 | 1984-01-01,Hong Kong,7.8189 226 | 1985-01-01,Hong Kong,7.7912 227 | 1986-01-01,Hong Kong,7.8038 228 | 1987-01-01,Hong Kong,7.7986 229 | 1988-01-01,Hong Kong,7.8068 230 | 1989-01-01,Hong Kong,7.8008 231 | 1990-01-01,Hong Kong,7.7899 232 | 1991-01-01,Hong Kong,7.7712 233 | 1992-01-01,Hong Kong,7.7402 234 | 1993-01-01,Hong Kong,7.7357 235 | 1994-01-01,Hong Kong,7.7290 236 | 1995-01-01,Hong Kong,7.7357 237 | 1996-01-01,Hong Kong,7.7345 238 | 1997-01-01,Hong Kong,7.7431 239 | 1998-01-01,Hong Kong,7.7467 240 | 1999-01-01,Hong Kong,7.7594 241 | 2000-01-01,Hong Kong,7.7924 242 | 2001-01-01,Hong Kong,7.7997 243 | 2002-01-01,Hong Kong,7.7996 244 | 2003-01-01,Hong Kong,7.7875 245 | 2004-01-01,Hong Kong,7.7891 246 | 2005-01-01,Hong Kong,7.7775 247 | 2006-01-01,Hong Kong,7.7681 248 | 2007-01-01,Hong Kong,7.8016 249 | 2008-01-01,Hong Kong,7.7862 250 | 2009-01-01,Hong Kong,7.7514 251 | 2010-01-01,Hong Kong,7.7687 252 | 2011-01-01,Hong Kong,7.7841 253 | 2012-01-01,Hong Kong,7.7569 254 | 2013-01-01,Hong Kong,7.7565 255 | 2014-01-01,Hong Kong,7.7545 256 | 2015-01-01,Hong Kong,7.7524 257 | 2016-01-01,Hong Kong,7.7620 258 | 2017-01-01,Hong Kong,7.7926 259 | 1973-01-01,India,7.6541 260 | 1974-01-01,India,8.0289 261 | 1975-01-01,India,8.4086 262 | 1976-01-01,India,8.9715 263 | 1977-01-01,India,8.7683 264 | 1978-01-01,India,8.1979 265 | 1979-01-01,India,8.1564 266 | 1980-01-01,India,7.8868 267 | 1981-01-01,India,8.6807 268 | 1982-01-01,India,9.4847 269 | 1983-01-01,India,10.1041 270 | 1984-01-01,India,11.3465 271 | 1985-01-01,India,12.3318 272 | 1986-01-01,India,12.5967 273 | 1987-01-01,India,12.9469 274 | 1988-01-01,India,13.8995 275 | 1989-01-01,India,16.2131 276 | 1990-01-01,India,17.4922 277 | 1991-01-01,India,22.7116 278 | 1992-01-01,India,28.1558 279 | 1993-01-01,India,31.2911 280 | 1994-01-01,India,31.3939 281 | 1995-01-01,India,32.4181 282 | 1996-01-01,India,35.5060 283 | 1997-01-01,India,36.3645 284 | 1998-01-01,India,41.3561 285 | 1999-01-01,India,43.1274 286 | 2000-01-01,India,44.9975 287 | 2001-01-01,India,47.2200 288 | 2002-01-01,India,48.6257 289 | 2003-01-01,India,46.5908 290 | 2004-01-01,India,45.2610 291 | 2005-01-01,India,44.0002 292 | 2006-01-01,India,45.1861 293 | 2007-01-01,India,41.1774 294 | 2008-01-01,India,43.3859 295 | 2009-01-01,India,48.3324 296 | 2010-01-01,India,45.6507 297 | 2011-01-01,India,46.5782 298 | 2012-01-01,India,53.3743 299 | 2013-01-01,India,58.5149 300 | 2014-01-01,India,60.9953 301 | 2015-01-01,India,64.1073 302 | 2016-01-01,India,67.1572 303 | 2017-01-01,India,65.0659 304 | 1971-01-01,Japan,347.7857 305 | 1972-01-01,Japan,303.1250 306 | 1973-01-01,Japan,271.3055 307 | 1974-01-01,Japan,291.8446 308 | 1975-01-01,Japan,296.7849 309 | 1976-01-01,Japan,296.4544 310 | 1977-01-01,Japan,268.6194 311 | 1978-01-01,Japan,210.3854 312 | 1979-01-01,Japan,219.0168 313 | 1980-01-01,Japan,226.6309 314 | 1981-01-01,Japan,220.6281 315 | 1982-01-01,Japan,249.0601 316 | 1983-01-01,Japan,237.5535 317 | 1984-01-01,Japan,237.4622 318 | 1985-01-01,Japan,238.4673 319 | 1986-01-01,Japan,168.3496 320 | 1987-01-01,Japan,144.6023 321 | 1988-01-01,Japan,128.1742 322 | 1989-01-01,Japan,138.0738 323 | 1990-01-01,Japan,144.9987 324 | 1991-01-01,Japan,134.5909 325 | 1992-01-01,Japan,126.7801 326 | 1993-01-01,Japan,111.0755 327 | 1994-01-01,Japan,102.1790 328 | 1995-01-01,Japan,93.9649 329 | 1996-01-01,Japan,108.7800 330 | 1997-01-01,Japan,121.0581 331 | 1998-01-01,Japan,130.9892 332 | 1999-01-01,Japan,113.7342 333 | 2000-01-01,Japan,107.8040 334 | 2001-01-01,Japan,121.5680 335 | 2002-01-01,Japan,125.2204 336 | 2003-01-01,Japan,115.9387 337 | 2004-01-01,Japan,108.1508 338 | 2005-01-01,Japan,110.1069 339 | 2006-01-01,Japan,116.3121 340 | 2007-01-01,Japan,117.7623 341 | 2008-01-01,Japan,103.3906 342 | 2009-01-01,Japan,93.6827 343 | 2010-01-01,Japan,87.7817 344 | 2011-01-01,Japan,79.6967 345 | 2012-01-01,Japan,79.8180 346 | 2013-01-01,Japan,97.5971 347 | 2014-01-01,Japan,105.7398 348 | 2015-01-01,Japan,121.0491 349 | 2016-01-01,Japan,108.6569 350 | 2017-01-01,Japan,112.0986 351 | 1971-01-01,Malaysia,3.0318 352 | 1972-01-01,Malaysia,2.8085 353 | 1973-01-01,Malaysia,2.4468 354 | 1974-01-01,Malaysia,2.4070 355 | 1975-01-01,Malaysia,2.4029 356 | 1976-01-01,Malaysia,2.5422 357 | 1977-01-01,Malaysia,2.4625 358 | 1978-01-01,Malaysia,2.3168 359 | 1979-01-01,Malaysia,2.1883 360 | 1980-01-01,Malaysia,2.1768 361 | 1981-01-01,Malaysia,2.3048 362 | 1982-01-01,Malaysia,2.3356 363 | 1983-01-01,Malaysia,2.3205 364 | 1984-01-01,Malaysia,2.3428 365 | 1985-01-01,Malaysia,2.4807 366 | 1986-01-01,Malaysia,2.5831 367 | 1987-01-01,Malaysia,2.5186 368 | 1988-01-01,Malaysia,2.6190 369 | 1989-01-01,Malaysia,2.7079 370 | 1990-01-01,Malaysia,2.7049 371 | 1991-01-01,Malaysia,2.7503 372 | 1992-01-01,Malaysia,2.5463 373 | 1993-01-01,Malaysia,2.5738 374 | 1994-01-01,Malaysia,2.6237 375 | 1995-01-01,Malaysia,2.5073 376 | 1996-01-01,Malaysia,2.5154 377 | 1997-01-01,Malaysia,2.8173 378 | 1998-01-01,Malaysia,3.9254 379 | 1999-01-01,Malaysia,3.8000 380 | 2000-01-01,Malaysia,3.8000 381 | 2001-01-01,Malaysia,3.8000 382 | 2002-01-01,Malaysia,3.8000 383 | 2003-01-01,Malaysia,3.8000 384 | 2004-01-01,Malaysia,3.8000 385 | 2005-01-01,Malaysia,3.7869 386 | 2006-01-01,Malaysia,3.6661 387 | 2007-01-01,Malaysia,3.4354 388 | 2008-01-01,Malaysia,3.3292 389 | 2009-01-01,Malaysia,3.5231 390 | 2010-01-01,Malaysia,3.2175 391 | 2011-01-01,Malaysia,3.0564 392 | 2012-01-01,Malaysia,3.0862 393 | 2013-01-01,Malaysia,3.1488 394 | 2014-01-01,Malaysia,3.2697 395 | 2015-01-01,Malaysia,3.9041 396 | 2016-01-01,Malaysia,4.1372 397 | 2017-01-01,Malaysia,4.2982 398 | 1993-01-01,Mexico,3.1237 399 | 1994-01-01,Mexico,3.3853 400 | 1995-01-01,Mexico,6.4467 401 | 1996-01-01,Mexico,7.6004 402 | 1997-01-01,Mexico,7.9177 403 | 1998-01-01,Mexico,9.1521 404 | 1999-01-01,Mexico,9.5533 405 | 2000-01-01,Mexico,9.4586 406 | 2001-01-01,Mexico,9.3366 407 | 2002-01-01,Mexico,9.6633 408 | 2003-01-01,Mexico,10.7925 409 | 2004-01-01,Mexico,11.2897 410 | 2005-01-01,Mexico,10.8938 411 | 2006-01-01,Mexico,10.9056 412 | 2007-01-01,Mexico,10.9281 413 | 2008-01-01,Mexico,11.1425 414 | 2009-01-01,Mexico,13.4979 415 | 2010-01-01,Mexico,12.6237 416 | 2011-01-01,Mexico,12.4270 417 | 2012-01-01,Mexico,13.1539 418 | 2013-01-01,Mexico,12.7584 419 | 2014-01-01,Mexico,13.3022 420 | 2015-01-01,Mexico,15.8735 421 | 2016-01-01,Mexico,18.6674 422 | 2017-01-01,Mexico,18.8841 423 | 1971-01-01,New Zealand,0.8800492827598345 424 | 1972-01-01,New Zealand,0.8378718056137411 425 | 1973-01-01,New Zealand,0.7355104442483084 426 | 1974-01-01,New Zealand,0.7141836880445651 427 | 1975-01-01,New Zealand,0.8253549026081215 428 | 1976-01-01,New Zealand,1.0088781275221954 429 | 1977-01-01,New Zealand,1.0320982557539478 430 | 1978-01-01,New Zealand,0.9648784253184098 431 | 1979-01-01,New Zealand,0.9781864423359092 432 | 1980-01-01,New Zealand,1.027326895418122 433 | 1981-01-01,New Zealand,1.1514104778353482 434 | 1982-01-01,New Zealand,1.3315579227696406 435 | 1983-01-01,New Zealand,1.4972301242701003 436 | 1984-01-01,New Zealand,1.7289073305670815 437 | 1985-01-01,New Zealand,2.0100502512562812 438 | 1986-01-01,New Zealand,1.9062142584826536 439 | 1987-01-01,New Zealand,1.6854879487611663 440 | 1988-01-01,New Zealand,1.525320317266626 441 | 1989-01-01,New Zealand,1.6725204883759826 442 | 1990-01-01,New Zealand,1.677289500167729 443 | 1991-01-01,New Zealand,1.7292062943109112 444 | 1992-01-01,New Zealand,1.8590816136828405 445 | 1993-01-01,New Zealand,1.8474043968224645 446 | 1994-01-01,New Zealand,1.6846361185983827 447 | 1995-01-01,New Zealand,1.5236934328813043 448 | 1996-01-01,New Zealand,1.4541224371092047 449 | 1997-01-01,New Zealand,1.509433962264151 450 | 1998-01-01,New Zealand,1.8653236336504382 451 | 1999-01-01,New Zealand,1.8896447467876039 452 | 2000-01-01,New Zealand,2.189141856392294 453 | 2001-01-01,New Zealand,2.379819133745835 454 | 2002-01-01,New Zealand,2.1528525296017222 455 | 2003-01-01,New Zealand,1.717622810030917 456 | 2004-01-01,New Zealand,1.5053439710973957 457 | 2005-01-01,New Zealand,1.4186409419775856 458 | 2006-01-01,New Zealand,1.5403573629081948 459 | 2007-01-01,New Zealand,1.357773251866938 460 | 2008-01-01,New Zealand,1.3984058173682004 461 | 2009-01-01,New Zealand,1.572821642025794 462 | 2010-01-01,New Zealand,1.3858093126385809 463 | 2011-01-01,New Zealand,1.2626262626262625 464 | 2012-01-01,New Zealand,1.2338062924120914 465 | 2013-01-01,New Zealand,1.2189176011701608 466 | 2014-01-01,New Zealand,1.2029351617947792 467 | 2015-01-01,New Zealand,1.4283673760891302 468 | 2016-01-01,New Zealand,1.43348623853211 469 | 2017-01-01,New Zealand,1.4062719729995783 470 | 1971-01-01,Norway,7.0222 471 | 1972-01-01,Norway,6.5875 472 | 1973-01-01,Norway,5.7535 473 | 1974-01-01,Norway,5.5255 474 | 1975-01-01,Norway,5.2283 475 | 1976-01-01,Norway,5.4590 476 | 1977-01-01,Norway,5.3240 477 | 1978-01-01,Norway,5.2467 478 | 1979-01-01,Norway,5.0651 479 | 1980-01-01,Norway,4.9382 480 | 1981-01-01,Norway,5.7431 481 | 1982-01-01,Norway,6.4568 482 | 1983-01-01,Norway,7.3013 483 | 1984-01-01,Norway,8.1597 484 | 1985-01-01,Norway,8.5934 485 | 1986-01-01,Norway,7.3985 486 | 1987-01-01,Norway,6.7409 487 | 1988-01-01,Norway,6.5243 488 | 1989-01-01,Norway,6.9131 489 | 1990-01-01,Norway,6.2621 490 | 1991-01-01,Norway,6.4912 491 | 1992-01-01,Norway,6.2142 492 | 1993-01-01,Norway,7.1009 493 | 1994-01-01,Norway,7.0553 494 | 1995-01-01,Norway,6.3355 495 | 1996-01-01,Norway,6.4594 496 | 1997-01-01,Norway,7.0857 497 | 1998-01-01,Norway,7.5521 498 | 1999-01-01,Norway,7.8071 499 | 2000-01-01,Norway,8.8131 500 | 2001-01-01,Norway,8.9964 501 | 2002-01-01,Norway,7.9839 502 | 2003-01-01,Norway,7.0803 503 | 2004-01-01,Norway,6.7399 504 | 2005-01-01,Norway,6.4412 505 | 2006-01-01,Norway,6.4095 506 | 2007-01-01,Norway,5.8557 507 | 2008-01-01,Norway,5.6365 508 | 2009-01-01,Norway,6.2908 509 | 2010-01-01,Norway,6.0451 510 | 2011-01-01,Norway,5.6022 511 | 2012-01-01,Norway,5.8181 512 | 2013-01-01,Norway,5.8772 513 | 2014-01-01,Norway,6.2969 514 | 2015-01-01,Norway,8.0681 515 | 2016-01-01,Norway,8.3936 516 | 2017-01-01,Norway,8.2679 517 | 1981-01-01,Singapore,2.1138 518 | 1982-01-01,Singapore,2.1406 519 | 1983-01-01,Singapore,2.1137 520 | 1984-01-01,Singapore,2.1327 521 | 1985-01-01,Singapore,2.2009 522 | 1986-01-01,Singapore,2.1783 523 | 1987-01-01,Singapore,2.1059 524 | 1988-01-01,Singapore,2.0133 525 | 1989-01-01,Singapore,1.9511 526 | 1990-01-01,Singapore,1.8134 527 | 1991-01-01,Singapore,1.7283 528 | 1992-01-01,Singapore,1.6294 529 | 1993-01-01,Singapore,1.6158 530 | 1994-01-01,Singapore,1.5275 531 | 1995-01-01,Singapore,1.4171 532 | 1996-01-01,Singapore,1.4100 533 | 1997-01-01,Singapore,1.4857 534 | 1998-01-01,Singapore,1.6722 535 | 1999-01-01,Singapore,1.6951 536 | 2000-01-01,Singapore,1.7250 537 | 2001-01-01,Singapore,1.7930 538 | 2002-01-01,Singapore,1.7908 539 | 2003-01-01,Singapore,1.7429 540 | 2004-01-01,Singapore,1.6902 541 | 2005-01-01,Singapore,1.6639 542 | 2006-01-01,Singapore,1.5882 543 | 2007-01-01,Singapore,1.5065 544 | 2008-01-01,Singapore,1.4140 545 | 2009-01-01,Singapore,1.4543 546 | 2010-01-01,Singapore,1.3629 547 | 2011-01-01,Singapore,1.2565 548 | 2012-01-01,Singapore,1.2492 549 | 2013-01-01,Singapore,1.2511 550 | 2014-01-01,Singapore,1.2665 551 | 2015-01-01,Singapore,1.3746 552 | 2016-01-01,Singapore,1.3800 553 | 2017-01-01,Singapore,1.3802 554 | 1971-01-01,South Africa,0.7129 555 | 1972-01-01,South Africa,0.7732 556 | 1973-01-01,South Africa,0.6964 557 | 1974-01-01,South Africa,0.6806 558 | 1975-01-01,South Africa,0.7408 559 | 1976-01-01,South Africa,0.8707 560 | 1977-01-01,South Africa,0.8697 561 | 1978-01-01,South Africa,0.8695 562 | 1979-01-01,South Africa,0.8424 563 | 1980-01-01,South Africa,0.7796 564 | 1981-01-01,South Africa,0.8787 565 | 1982-01-01,South Africa,1.0876 566 | 1983-01-01,South Africa,1.1146 567 | 1984-01-01,South Africa,1.4761 568 | 1985-01-01,South Africa,2.2344 569 | 1986-01-01,South Africa,2.2919 570 | 1987-01-01,South Africa,2.0385 571 | 1988-01-01,South Africa,2.2770 572 | 1989-01-01,South Africa,2.6243 573 | 1990-01-01,South Africa,2.5885 574 | 1991-01-01,South Africa,2.7633 575 | 1992-01-01,South Africa,2.8524 576 | 1993-01-01,South Africa,3.2721 577 | 1994-01-01,South Africa,3.5526 578 | 1995-01-01,South Africa,3.6284 579 | 1996-01-01,South Africa,4.3011 580 | 1997-01-01,South Africa,4.6072 581 | 1998-01-01,South Africa,5.5417 582 | 1999-01-01,South Africa,6.1191 583 | 2000-01-01,South Africa,6.9468 584 | 2001-01-01,South Africa,8.6093 585 | 2002-01-01,South Africa,10.5176 586 | 2003-01-01,South Africa,7.5550 587 | 2004-01-01,South Africa,6.4402 588 | 2005-01-01,South Africa,6.3606 589 | 2006-01-01,South Africa,6.7668 590 | 2007-01-01,South Africa,7.0477 591 | 2008-01-01,South Africa,8.2480 592 | 2009-01-01,South Africa,8.4117 593 | 2010-01-01,South Africa,7.3159 594 | 2011-01-01,South Africa,7.2510 595 | 2012-01-01,South Africa,8.2014 596 | 2013-01-01,South Africa,9.6436 597 | 2014-01-01,South Africa,10.8420 598 | 2015-01-01,South Africa,12.7645 599 | 2016-01-01,South Africa,14.6821 600 | 2017-01-01,South Africa,13.2943 601 | 1981-01-01,South Korea,686.0734 602 | 1982-01-01,South Korea,731.9442 603 | 1983-01-01,South Korea,776.0494 604 | 1984-01-01,South Korea,807.9294 605 | 1985-01-01,South Korea,872.4466 606 | 1986-01-01,South Korea,884.5968 607 | 1987-01-01,South Korea,826.1587 608 | 1988-01-01,South Korea,734.5231 609 | 1989-01-01,South Korea,674.1286 610 | 1990-01-01,South Korea,710.6440 611 | 1991-01-01,South Korea,736.7331 612 | 1992-01-01,South Korea,784.6608 613 | 1993-01-01,South Korea,805.7516 614 | 1994-01-01,South Korea,806.9319 615 | 1995-01-01,South Korea,772.6853 616 | 1996-01-01,South Korea,804.9968 617 | 1997-01-01,South Korea,953.1904 618 | 1998-01-01,South Korea,1400.4036 619 | 1999-01-01,South Korea,1189.8361 620 | 2000-01-01,South Korea,1130.8975 621 | 2001-01-01,South Korea,1292.0149 622 | 2002-01-01,South Korea,1250.3140 623 | 2003-01-01,South Korea,1192.0817 624 | 2004-01-01,South Korea,1145.2364 625 | 2005-01-01,South Korea,1023.7492 626 | 2006-01-01,South Korea,954.3210 627 | 2007-01-01,South Korea,928.9717 628 | 2008-01-01,South Korea,1098.7061 629 | 2009-01-01,South Korea,1274.6252 630 | 2010-01-01,South Korea,1155.7389 631 | 2011-01-01,South Korea,1106.9400 632 | 2012-01-01,South Korea,1126.1621 633 | 2013-01-01,South Korea,1094.6749 634 | 2014-01-01,South Korea,1052.2924 635 | 2015-01-01,South Korea,1130.9603 636 | 2016-01-01,South Korea,1159.3422 637 | 2017-01-01,South Korea,1129.0435 638 | 1971-01-01,Sweden,5.1051 639 | 1972-01-01,Sweden,4.7571 640 | 1973-01-01,Sweden,4.3619 641 | 1974-01-01,Sweden,4.4387 642 | 1975-01-01,Sweden,4.1531 643 | 1976-01-01,Sweden,4.3580 644 | 1977-01-01,Sweden,4.4802 645 | 1978-01-01,Sweden,4.5207 646 | 1979-01-01,Sweden,4.2893 647 | 1980-01-01,Sweden,4.2310 648 | 1981-01-01,Sweden,5.0660 649 | 1982-01-01,Sweden,6.2839 650 | 1983-01-01,Sweden,7.6718 651 | 1984-01-01,Sweden,8.2708 652 | 1985-01-01,Sweden,8.6032 653 | 1986-01-01,Sweden,7.1273 654 | 1987-01-01,Sweden,6.3469 655 | 1988-01-01,Sweden,6.1370 656 | 1989-01-01,Sweden,6.4559 657 | 1990-01-01,Sweden,5.9231 658 | 1991-01-01,Sweden,6.0521 659 | 1992-01-01,Sweden,5.8258 660 | 1993-01-01,Sweden,7.7956 661 | 1994-01-01,Sweden,7.7161 662 | 1995-01-01,Sweden,7.1406 663 | 1996-01-01,Sweden,6.7082 664 | 1997-01-01,Sweden,7.6447 665 | 1998-01-01,Sweden,7.9522 666 | 1999-01-01,Sweden,8.2740 667 | 2000-01-01,Sweden,9.1735 668 | 2001-01-01,Sweden,10.3425 669 | 2002-01-01,Sweden,9.7233 670 | 2003-01-01,Sweden,8.0787 671 | 2004-01-01,Sweden,7.3480 672 | 2005-01-01,Sweden,7.4710 673 | 2006-01-01,Sweden,7.3718 674 | 2007-01-01,Sweden,6.7550 675 | 2008-01-01,Sweden,6.5846 676 | 2009-01-01,Sweden,7.6539 677 | 2010-01-01,Sweden,7.2053 678 | 2011-01-01,Sweden,6.4878 679 | 2012-01-01,Sweden,6.7721 680 | 2013-01-01,Sweden,6.5124 681 | 2014-01-01,Sweden,6.8576 682 | 2015-01-01,Sweden,8.4350 683 | 2016-01-01,Sweden,8.5541 684 | 2017-01-01,Sweden,8.5430 685 | 1971-01-01,Switzerland,4.1171 686 | 1972-01-01,Switzerland,3.8186 687 | 1973-01-01,Switzerland,3.1688 688 | 1974-01-01,Switzerland,2.9805 689 | 1975-01-01,Switzerland,2.5839 690 | 1976-01-01,Switzerland,2.5002 691 | 1977-01-01,Switzerland,2.4065 692 | 1978-01-01,Switzerland,1.7907 693 | 1979-01-01,Switzerland,1.6644 694 | 1980-01-01,Switzerland,1.6772 695 | 1981-01-01,Switzerland,1.9675 696 | 1982-01-01,Switzerland,2.0319 697 | 1983-01-01,Switzerland,2.1007 698 | 1984-01-01,Switzerland,2.3500 699 | 1985-01-01,Switzerland,2.4552 700 | 1986-01-01,Switzerland,1.7979 701 | 1987-01-01,Switzerland,1.4918 702 | 1988-01-01,Switzerland,1.4643 703 | 1989-01-01,Switzerland,1.6369 704 | 1990-01-01,Switzerland,1.3901 705 | 1991-01-01,Switzerland,1.4356 706 | 1992-01-01,Switzerland,1.4064 707 | 1993-01-01,Switzerland,1.4781 708 | 1994-01-01,Switzerland,1.3667 709 | 1995-01-01,Switzerland,1.1812 710 | 1996-01-01,Switzerland,1.2361 711 | 1997-01-01,Switzerland,1.4514 712 | 1998-01-01,Switzerland,1.4506 713 | 1999-01-01,Switzerland,1.5045 714 | 2000-01-01,Switzerland,1.6904 715 | 2001-01-01,Switzerland,1.6891 716 | 2002-01-01,Switzerland,1.5567 717 | 2003-01-01,Switzerland,1.3450 718 | 2004-01-01,Switzerland,1.2428 719 | 2005-01-01,Switzerland,1.2459 720 | 2006-01-01,Switzerland,1.2532 721 | 2007-01-01,Switzerland,1.1999 722 | 2008-01-01,Switzerland,1.0816 723 | 2009-01-01,Switzerland,1.0860 724 | 2010-01-01,Switzerland,1.0432 725 | 2011-01-01,Switzerland,0.8862 726 | 2012-01-01,Switzerland,0.9377 727 | 2013-01-01,Switzerland,0.9269 728 | 2014-01-01,Switzerland,0.9147 729 | 2015-01-01,Switzerland,0.9628 730 | 2016-01-01,Switzerland,0.9848 731 | 2017-01-01,Switzerland,0.9842 732 | 1983-01-01,Taiwan,39.2850 733 | 1984-01-01,Taiwan,39.6360 734 | 1985-01-01,Taiwan,39.9000 735 | 1986-01-01,Taiwan,37.8516 736 | 1987-01-01,Taiwan,31.7530 737 | 1988-01-01,Taiwan,28.6364 738 | 1989-01-01,Taiwan,26.4067 739 | 1990-01-01,Taiwan,26.9179 740 | 1991-01-01,Taiwan,26.7593 741 | 1992-01-01,Taiwan,25.1603 742 | 1993-01-01,Taiwan,26.4155 743 | 1994-01-01,Taiwan,26.4648 744 | 1995-01-01,Taiwan,26.4955 745 | 1996-01-01,Taiwan,27.4680 746 | 1997-01-01,Taiwan,28.7751 747 | 1998-01-01,Taiwan,33.5473 748 | 1999-01-01,Taiwan,32.3222 749 | 2000-01-01,Taiwan,31.2599 750 | 2001-01-01,Taiwan,33.8243 751 | 2002-01-01,Taiwan,34.5363 752 | 2003-01-01,Taiwan,34.4047 753 | 2004-01-01,Taiwan,33.3719 754 | 2005-01-01,Taiwan,32.1312 755 | 2006-01-01,Taiwan,32.5065 756 | 2007-01-01,Taiwan,32.8547 757 | 2008-01-01,Taiwan,31.5205 758 | 2009-01-01,Taiwan,33.0200 759 | 2010-01-01,Taiwan,31.4974 760 | 2011-01-01,Taiwan,29.3822 761 | 2012-01-01,Taiwan,29.5581 762 | 2013-01-01,Taiwan,29.6800 763 | 2014-01-01,Taiwan,30.2992 764 | 2015-01-01,Taiwan,31.7443 765 | 2016-01-01,Taiwan,32.2264 766 | 2017-01-01,Taiwan,30.4016 767 | 1981-01-01,Thailand,21.8185 768 | 1982-01-01,Thailand,23.0143 769 | 1983-01-01,Thailand,22.9917 770 | 1984-01-01,Thailand,23.5829 771 | 1985-01-01,Thailand,27.1941 772 | 1986-01-01,Thailand,26.3150 773 | 1987-01-01,Thailand,25.7708 774 | 1988-01-01,Thailand,25.3123 775 | 1989-01-01,Thailand,25.7195 776 | 1990-01-01,Thailand,25.6094 777 | 1991-01-01,Thailand,25.5416 778 | 1992-01-01,Thailand,25.4110 779 | 1993-01-01,Thailand,25.3326 780 | 1994-01-01,Thailand,25.1608 781 | 1995-01-01,Thailand,24.9214 782 | 1996-01-01,Thailand,25.3587 783 | 1997-01-01,Thailand,31.0722 784 | 1998-01-01,Thailand,41.2623 785 | 1999-01-01,Thailand,37.8871 786 | 2000-01-01,Thailand,40.2098 787 | 2001-01-01,Thailand,44.5319 788 | 2002-01-01,Thailand,43.0192 789 | 2003-01-01,Thailand,41.5559 790 | 2004-01-01,Thailand,40.2711 791 | 2005-01-01,Thailand,40.2516 792 | 2006-01-01,Thailand,37.8763 793 | 2007-01-01,Thailand,32.2030 794 | 2008-01-01,Thailand,32.9624 795 | 2009-01-01,Thailand,34.3104 796 | 2010-01-01,Thailand,31.6997 797 | 2011-01-01,Thailand,30.4622 798 | 2012-01-01,Thailand,31.0546 799 | 2013-01-01,Thailand,30.6963 800 | 2014-01-01,Thailand,32.4615 801 | 2015-01-01,Thailand,34.2415 802 | 2016-01-01,Thailand,35.2635 803 | 2017-01-01,Thailand,33.9134 804 | 1995-01-01,Venezuela,0.1748 805 | 1996-01-01,Venezuela,0.4172 806 | 1997-01-01,Venezuela,0.4889 807 | 1998-01-01,Venezuela,0.5484 808 | 1999-01-01,Venezuela,0.6068 809 | 2000-01-01,Venezuela,0.6805 810 | 2001-01-01,Venezuela,0.7241 811 | 2002-01-01,Venezuela,1.1612 812 | 2003-01-01,Venezuela,1.6134 813 | 2004-01-01,Venezuela,1.8861 814 | 2005-01-01,Venezuela,2.1071 815 | 2006-01-01,Venezuela,2.1446 816 | 2007-01-01,Venezuela,2.1446 817 | 2008-01-01,Venezuela,2.1446 818 | 2009-01-01,Venezuela,2.1445 819 | 2010-01-01,Venezuela,4.2380 820 | 2011-01-01,Venezuela,4.2893 821 | 2012-01-01,Venezuela,4.2893 822 | 2013-01-01,Venezuela,6.0697 823 | 2014-01-01,Venezuela,6.2842 824 | 2015-01-01,Venezuela,6.2842 825 | 2016-01-01,Venezuela,9.2839 826 | 2017-01-01,Venezuela,9.9750 827 | --------------------------------------------------------------------------------