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Saudi Arabia: Cost of Living Index - January 2017

IM Research
By IM Research
8 years ago
Saudi Arabia: Cost of Living Index - January 2017

Sustainability

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  1. Cost of Living Index January 2017 ‫المؤشرات‬
  2. Cost of Living Index Contents S .N tcejbuS 1 Preface 2 The methodology for the cost of living index 3 The main features of the movements of the of cost of living index 4 seebbT
  3. Cost of Living Index Preface Price and index numbers statistics is considered as important economic statistics associated with the daily lives of individuals . It provides the necessary information to identify the general trend of price movement through the construction of its index numbers. The General Authority for Statistics has began to publishing the price and index numbers of the cost of living bulletins since more than 50 years ago, to provide data on consumer prices. Prices data is collected from 16 major cities of which 13 represent the centers of administrative regions as follows: (Riyadh, Makkah, Madinah, Buraydah, Dammam, Abha, Tabuk, Hail, Arar, Jazan, Najran, Baha, Sakaka) in addition of three cities, namely, (Jeddah, Taif, Hofuf), based on the components of the consumer basket of goods and services derived from 2007 household expenditure & income survey to provide monthly data, and time series for data on index number of the cost of living for the purpose of making comparisons and getting acknowledgment of price developments over time. The General Authority for Statistics makes the necessary updates on its programs from time to time by reviewing the components of the consumer basket and updating the outlets of goods and services, in addition of a whole updating for the cost of living index number in terms of the frame and components of the consumer basket, methodology, technique of field and office work as well as the calculation of index numbers. In the light of that, the new basket of goods included (476) goods and services in 2007. The General Authority for Statistics is pleased to issue this bulletin on its new form to researchers, planners, research centers and all those interested in economic affairs, hoping that the data that will be provided by it on a regular basis would be helpful to them. General Authority for Statistics encourage users to provide us with their comments and suggestions in order to make the necessary improvements in our work. Statistical data can also be viewed through the General Authority for Statistics web site (WWW.STATS.GOV.SA) . General Authority for Statistics Price & Indexes Statistics Fax: (4014138 # 1196) P.O. 3735 Riyadh 11481 E-mail : Info @ stats.gov.sa
  4. Cost of Living Index Methodology Description The General Authority for Statistics collecting data on consumer prices in order to build its index numbers to identify the extent of the cost of living change . Given the extreme importance of this data, an integrated system has been developed to cover all aspects in terms of the selection of goods and services, methods of prices collection and their verification as well as the index numbers calculation, in addition to the selection of outlets and their geographical distribution. The consumer basket is a real group of goods and services that are monitored through the household expenditure and income survey. The percentage distribution is extracted for consumption of goods and services within the consumer basket to be the mainstay in the calculation of index numbers. Objectives of the cost of living index numbers program Prices surveys aim, in general, to provide data on consumer prices for goods and services included in the consumer basket and provide data on index numbers of the cost of living within a time series data. Usually, the cost of living index numbers are used as follows: • A statistical method to measure changes in the prices of goods and services purchased by the consumer from time to time. • It is widely used for measuring inflation rates and economic recession • It is used in economic and statistical analysis of price movements and its future forecasts through different periods of time. • An indicator of the changes in the purchasing power of the currency. • Also, it is used in the areas of national accounts for deriving constant price estimates. Selection of the Goods Basket Depending on the final results of household expenditure and income survey 2007, the items was selected to consist the new basket of goods and services to build the cost of living index number. Taking in mind the presentation of goods and services included the consumer basket which mean an increasing in the sample size to be commensurate with the volume of goods and services, which showed a relative importance equal to the statistical limit 0.03% or greater, taking into consideration that other items of the relative importance that have not achieved the value of the statistical limit has not been neglected, and that was addressed by choosing the method of distribution to similar items. The total number of selected items reached 476 goods and services. Also, the number of items for the types of rental units rent covered by the survey has been
  5. Cost of Living Index increased to cover the four types of units (villa, floor in a villa, apartment, and public house). Goods and services forming the consumer basket are distributed into several main sections, sub-groups, chapters and items. The tabulation was carried out by using the international tabulation of the classification of individual consumption by purpose (COICOP). Selection of sample of outlets and rental units • Outlets and rental units, from which the prices of various goods and services collected, had been distributed, taking in mind the geographic coverage of the Kingdom’s administrative regions. Results of the establishment’s census have also been used in selecting outlets, in addition to the framework of population and housing census in the selection of leased units, which have been increased to four types (villa, a floor in a villa, apartment, and public house). • Distribution of outlets in Districts (district) by proportion of number of shops available in the framework at the city level. • Focus on specialized shops selling goods or services. • Taking into account the type of market where the shop is located, and the relative distribution of the selected points of sale. • The importance of the shop type within the city so that the following should be observed: - Table of shopping ratios obtained from the results of the household expenditure and income survey 2007 at the city level, and took it into account when selecting a sample of items or commodities. - Linking the shopping ratios to type of shop • Relative distribution of outlet by business activity of each shop: retail sale, services and other. • Give priority to the larger volume of employment in the point of sale to ensure sustainability. • Drawing an alternative sample, to be used in case of unavailability of the original outlet of sale. Price Data Collection Price data is collected, through direct personal interviews by a team of trained enumerators, from selected outlet and rental sale units. Address of each source is marked to facilitate access by enumerators, taking into account the distribution of these outlets for each city to cover all goods and services. Data Entry Data entry process carried out after collecting from interviewers. Entry programs have been prepared and the necessary controls prior to data entry process have also been taken. All that are implemented via many ways as follows: - Direct entry of the collected data, using computers available at the General Authority for Statistics head office, branches and offices in accordance with a special program.
  6. Cost of Living Index - Transmission of data using handheld devices . Data editing and processing A wide range of rules for automatic editing and processing of the data is applied according to special analysis codes to be determined by the enumerator and field supervisor for each process. Data revision is done through a number of phases starting from the stage of data collection through primary and automated review of input data and review of central analytical data to the review of data and publishing tables. The Base Year The base year of the cost of living index numbers for the entire population has been approved and shifted from 1999 to be 2007 where the household expenditure & income survey was conducted. Relative significance of Goods & Services (Relative Weights) The relative significance of goods and services has been determined, based on the results of the Household Expenditure & Income Survey 2007 which covered all regions of the Kingdom. The relative importance of the commodity as the percentage of the share on commodity or service out of the total expenditure of all goods and services within the consumer basket Main expenditure division Weights General Index Food and beverage 100 100.0 Tobacco 21.7 0.5 Clothing and Footwear 8.4 Housing, water, Electricity ,Gas and other fuels 20.5 Furnishings, household equipment & Routine household 9.1 Health 2.6 Transport 10.4 Communication 8.1 Recreation and Culture 3.5 Education 2.7 Restaurants and hotels 5.7 Miscellaneous goods and services 6.8
  7. Cost of Living Index Calculating of price index number : After the completion of all stages of the preparation of data, collection, editing and processing, the cost of living index number at the general level and detailed levels is calculated. The method of Laspeyres has been adopted in calculating the index number by using the geometric mean of prices, which using the following formula:   P  i , j   j  1 x  x  Pi , j j Where: Pi, j: prices X the period X the source j x: the number of outlets The Laspeyres formula to calculate the index number is in accordance with the following formula: Index number = N Pi ,a P a 1 0 ,.a  P0,a Q0,a N P a 1 0,a Q0,a Where: Pi, a: geometric mean of the commodity price a during the month i P0, a: geometric mean of the commodity price a during the base year o Q0, a: the item quantities a during the base year o (the item weight) Data Quality To ensure the highest possible level of accuracy and quality of the field data,an integrated and automated editing program for data quality to control the possible errors, as well as through the adoption of a set of procedures determined by the “Price & Index Numbers Statistics Department” at all stages of implementation of the field programs. And that has also been taken into account in the preparation of studies and sample design for POS and rental units, as well as when preparing the procedures of theoretical and practical training for all field working groups and selecting a group of qualified researchers in all cities where the program being implemented. Among the most prominent measures taken are the following: - Continuous monitoring of the performance of researchers through field visits by the program’s managers and supervisors. - Conducting field comparisons for the prices of commodities, which are randomly and automatically selected. - Studying reports received from the field and to respond to queries directly. - Quality control of data entry software and transmission.
  8. Cost of Living Index - Developing a number of automated editing rules during the process of data entry , review, processing and publishing to identify errors and notes before the completion of debugging and correction process. - Quality control of programs of the index number calculation, in addition to conducting periodic tests and comparisons. - Treatment of the disappearance of commodities and the change of outlets. Publishing: Data of Cost of Living Index prices index are published according to the following methodology: 1- Publishing the Cost of Living Index results monthly. 2- Publishing them on specified and announced dates on the authority official website. 3- The authority official website www.stats.gov.sa is a certified and official publishing platform. 4- Providing all kinds of beneficiaries with the results using the appropriate mechanism.
  9. cost of living Index Highlights of cost of living Index Movement (Jan 2017) Monthly change In January 2017, the cost of living index recorded a decrease of (136.5) by (0.2%) compared with the month of December 2016, the record (136.8) This resulted in a number of the following changes:  Decrease percentages Section monthly relative change of main sections during the month of Jan2017 compared to Dec2016 Percent Change 0.8 -0.8% 0.6 RECREATION AND CULTURE -0.7% 0.2 FOOD AND BEVERAGES -0.6% -0.2 RESTAURANTS AND HOTELS 0.7 0.3 0.4 -0.6% CITY , GAS AND OTHER FUELS -0.2% FURNISHINGS, HOUSEHOLD EQUIPMENT AND -0.1% MAINTENANCE  Increase percentages Section Percent Change COMMUNICATION 0.7% CLOTHING AND FOOTWEAR 0.3% HEALTH 0.2% MISCELLANEOUS GOODS AND SERVICES 0.2% 0.0 -0.2 -0.1 -0.6 -0.8 HOUSING, WATER, ELECTRI- 0.2 0.0 0.0 -0.4 TRANSPORT 0.2 -0.6 -0.6 -0.7 -1.0 -0.8 FOOD AND BEVERAGES TOBACCO CLOTHING AND FOOTWEAR HOUSING, WATER, ELECTRI-CITY , GAS AND OTHER FUELS FURNISHINGS, HOUSEHOLD EQUIPMENT AND MAINTENANCE HEALTH TRANSPORT COMMUNICATION RECREATION AND CULTURE EDUCATION RESTAURANTS AND HOTELS MISCELLANEOUS GOODS AND SERVICES
  10. Unchanged Sections 1-Tobacco 2-Education Annual Change General index of the cost of living index for the month of January 2017 , compared to his counterpart from the previous year a decrease of ( 0.4%) rate. This was the result of the following changes :  Decrease percentages : Section Annual changes relative to the main sections through Jan2017 compared to Jan2016 Percent Change FOOD AND BEVERAGES -4.2% TRANSPORT -3.1% RECREATION AND CULTURE -2.2% RESTAURANTS AND HOTELS -1.1% 25.0 15.0 10.0 5.0 -5.0  Increase Percentages: Percent Change TOBACCO 19.9% COMMUNICATION 2.8% MISCELLANEOUS GOODS AND SERVICES 2.3% HEALTH 2.2% Education 1.9% CLOTHING AND FOOTWEAR 1.3% HOUSING, WATER, ELECTRI-CITY , GAS AND OTHER FUELS FURNISHINGS, HOUSEHOLD EQUIPMENT AND MAINTENANCE 1.2% 0.5% 1.3 1.2 0.5 2.8 2.2 2.3 1.9 0.0 -10.0 Section 19.9 20.0 -2.2 -3.1 -4.2 -1.1 FOOD AND BEVERAGES TOBACCO CLOTHING AND FOOTWEAR HOUSING, WATER, ELECTRI-CITY , GAS AND OTHER FUELS FURNISHINGS, HOUSEHOLD EQUIPMENT AND MAINTENANCE HEALTH TRANSPORT COMMUNICATION RECREATION AND CULTURE EDUCATION RESTAURANTS AND HOTELS MISCELLANEOUS GOODS AND SERVICES
  11. Tables
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  24. u ÅÅÅÅÅÅÅÅv t V WTXY `a 4 ( 7 ) &"%fÅipÅqcdcFÅ cr%ÅH ÅsrfÅ&AF% b"ÅIcdc%c"%ÅH Å"#$Å@eÅ&cfc% "#$%Å Å&%%% Å ! ˆ‰‰É‘’É“”•”–‘—”˜ ˆ‰‰ “”•”–‘—”˜ ™‰“‘dd‰ ™‰“‘dd‰ de‰™fg’—É‘’Éˆ‰‰™h”‘– de‰™fg’— ˆ‰‰™h”‘– f‰i˜g’—jÉh‘™”–jɔe”d™–gkdg™lÉjɗ‘˜ ‘’É‰™f”–Ɉi”e˜ –”’™‘e˜Éˆ‰–Éf‰i˜g’— m‘g™”’‘’d”ɉˆÉ™f”ɐ”h”eeg’— h‘™”–ɘinnelÉoɉ™f”–ɘ”–•gd”˜ ”e”d™–gdg™ljɗ‘˜É‘’É‰™f”–Ɉi”e˜ ˆi–’g˜fg’—˜jÉf‰i˜”f‰eÉ”pignm”’™ ‘’Ém‘g’™”’‘’d”É ˆi–’g™i–”ÉoÉd‘–n”™˜ f‰i˜”f‰eÉ™”q™ge”˜ f‰i˜”f‰eÉ‘nneg‘’d”˜ f‰i˜”f‰eÉi™”’˜ge˜ ™‰‰e˜Éˆ‰–Éf‰i˜”Éoɗ‘–”’ —‰‰˜Éˆ‰–Éf‰i˜”f‰eÉm‘g’™”’‘’d” f”‘e™f m”gd‘eÉn–‰id™˜Éoɔpignm”’™ ‰i™n‘™g”’™É˜”–•gd”˜ f‰˜ng™‘eɘ”–•gd”˜ ™–‘’˜n‰–™ ni–df‘˜”ɉˆÉ•”fgde”˜ ‰n”–‘™g‰’ɉˆÉ™–‘’˜n‰–™É”pignm”’™ ™–‘’˜n‰–™É˜”–•gd”˜ d‰mmi’gd‘™g‰’ n‰˜™‘eɘ”–•gd”˜ ™”e”nf‰’”É‘’É™”e”ˆ‘qɔpignm”’™ ™”e”nf‰’”É‘’É™”e”ˆ‘qɘ”–•gd”˜ –”d–”‘™g‰’É‘’Édie™i–” ‘ig‰jÉnf‰™‰ÉoÉg’ˆ‰rɔpignm”’™ ‰™f”–É–”d–”‘™g‰’ÉoÉdie™i–”É—‰‰˜ ‰™f”–É–”d–”‘™g‰’‘eɗ‰‰˜ –”d–”‘™g‰’‘eÉoÉdie™i–‘eɘ”–•gd”˜ ’”h˜n‘n”–˜jɓ‰‰s˜Éoɘ™‘™g‰’”–l n‘ds‘—”Éf‰eg‘l˜ ”id‘™g‰’ n–”kn–gm‘–lÉoÉn–gm‘–lɔid‘™g‰’ ˜”d‰’‘–log’™”–m”g‘™”Éɔid‘™g‰’ n‰˜™k˜”d‰’‘–lɔid‘™g‰’ ™”–™g‘–lɔid‘™g‰’ –”˜™‘i–‘’™˜É‘’Éf‰™”e˜ d‘™”–g’—ɘ”–•gd” ‘dd‰mm‰‘™g‰’ɘ”–•gd”˜ mg˜d”ee‘’”‰i˜É—‰‰˜É‘’ ˜”–•gd”˜ n”–˜‰’‘eÉd‘–” n”–˜‰’‘eɔˆˆ”d™˜É’r”rdr ˜‰dg‘eÉn–‰™”d™g‰’ g’˜i–‘’d” ˆg’‘’dg‘eɘ”–•gd”˜É’r”Édr ‰™f”–ɘ”–•gd”˜É’r”rdr ÈCDÃÄÅw15TÅ8xÈÂ0ÃÄÅ8y€DÃÅ8ÈÇÁÈÉÃÄÅÅÀÁgUÄ 3X0ÃÄÅw19ÅQÁRS040ÃÄTÅÅÀÁ1‚à 2007=100 3Ä45ÅÅÅÅÅÅÅÅÅÅÅÅÅ67 8ÈÇÁÈÉÃÄÅÅÀÁgUÄ ÈBBBCDÃÄÅ8BBB)15  !Å6#ha% E&AF 'Á(' 'Á(' )01'2 2017 GH6 GH6 IP& IP& )01'2 2017 2016 2016 136.0 136.5 -0.4 89Á)ÃÄÅÅÅÅÅÅÅÅÅÅÅÅÅ@A 8ÈÇÁÈÉÃÄÅÅÀÁgUÄ ÈBBBCDÃÄÅ8BBB)15 E&AF  !Å6#ha% 'Á(' 'Á(' )01'2 2017 GH6 GH6 IP& IP& )01'2 2017 2016 2016 140.6 140.4 0.1 141.7 143.4 122.3 194.1 194.1 102.6 103.9 93.8 182.6 143.1 144.9 122.5 194.1 194.1 102.2 103.6 93.4 182.7 -1.0 -1.0 -0.2 0.0 0.0 0.4 0.3 0.4 -0.1 146.9 148.4 129.4 200.0 200.0 128.5 130.8 113.8 154.8 147.4 148.8 130.8 200.0 200.0 128.1 130.3 113.7 154.7 -0.3 -0.3 -1.1 0.0 0.0 0.3 0.4 0.1 0.1 194.1 169.6 211.3 114.5 140.4 194.1 171.6 211.3 114.5 140.8 0.0 -1.2 0.0 0.0 -0.3 159.6 133.9 224.0 113.5 171.2 159.4 135.2 224.0 113.5 170.4 0.1 -1.0 0.0 0.0 0.5 129.4 133.0 123.9 127.8 117.1 172.1 114.3 100.0 125.5 118.0 120.7 107.4 138.0 106.3 93.2 99.2 63.0 99.7 109.5 84.9 179.6 88.2 116.7 101.0 144.0 98.9 101.9 99.3 79.0 110.0 119.0 117.4 135.5 133.6 129.8 132.4 124.9 129.8 117.1 172.0 114.7 99.8 126.5 118.0 121.6 108.3 137.8 111.9 93.2 99.2 63.2 99.7 108.7 85.1 167.6 88.1 116.7 101.0 141.3 98.9 101.9 99.3 79.0 110.0 119.0 117.4 135.5 135.3 -0.3 0.5 -0.8 -1.5 0.0 0.1 -0.3 0.2 -0.8 0.0 -0.7 -0.8 0.1 -5.0 0.0 0.0 -0.3 0.0 0.7 -0.2 7.2 0.1 0.0 0.0 1.9 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 -1.3 132.1 166.8 144.5 154.9 283.0 237.8 113.3 110.8 101.6 140.3 132.4 110.7 153.0 143.3 117.5 99.2 200.1 99.7 103.8 47.5 177.5 141.5 104.4 104.3 91.9 120.3 120.8 128.8 100.9 101.4 113.7 114.7 104.3 148.2 128.9 168.7 145.4 156.5 286.6 237.8 113.2 110.9 100.9 141.4 130.7 109.9 151.3 138.1 117.5 99.2 199.9 99.7 103.0 46.6 165.6 139.9 104.4 104.3 91.9 120.3 120.8 128.8 100.9 101.4 113.5 114.3 105.2 147.7 2.5 -1.1 -0.6 -1.0 -1.3 0.0 0.1 -0.1 0.7 -0.8 1.3 0.7 1.1 3.8 0.0 0.0 0.1 0.0 0.8 1.9 7.2 1.1 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.2 0.3 -0.9 0.3 116.3 214.8 114.3 181.7 82.4 102.1 116.2 217.4 114.3 178.4 82.4 105.5 0.1 -1.2 0.0 1.8 0.0 -3.2 116.8 176.9 114.3 181.7 144.5 157.5 116.8 174.9 114.3 178.4 144.5 157.5 0.0 1.1 0.0 1.8 0.0 0.0 QÁRS040ÃÄTÅÅÀÁ1UÄÅÅ ÀÁÂÃÄÅÆÇÁÈÉÃÄÅÃÄ ÀÁÂÃÄÅÆÇÈÃÉÉÈ ÉÈ ÀÁÂÃÄÅÆÇÈ ÇÈ ÇÈ ÉÈÃÉÉ Â!ÆÇÈ É Â!ÆÇÈ ÉÈ "#$#ÇÈÉ%È#&'ÃÉ(Á)ÇÈÃÉ0ÁÂÄ12ÇÈÃÉ3Á4ÆÇÈÃÉ526ÇÈ É7Ä8È 5269ÇÉÉ@ÁABÈ 526ÆÇÈÉÉC!DÈÃÉ&Á4D 526ÆÇÁÂÉ9EÆÇÈÉÀÁFGHÇÈÃÉ3Á4ÆÇÈ É7Ä8ÈÉ"#$#ÇÈÉ%È#&'ÃÉ(Á)ÇÈÃÉ0ÁÂÄ12ÇÈ Á1&Á4DÃÉIPQÆÇÈÉÀÈP41ARÃÉS4TUR "ÁA6ÇÈÃÉÉVÁTÈ 4ÇPQÆÇÈÉÀÁW#6QÆÇÈ 4ÇPQÆÇÈÉÉXP1WÈ 4ÇPQFÉÀÈÃ"' YG`ÇÈÃÉIPQÆ9ÇÉXP1W'ÃÉÀÈÃ"' IPQÆÇÈÉ&Á4EÇÉÀÁFG8ÃÉa9b `EÇÈ 4cÇÈÉÀÈGdÆÇÈÃÉÉXP1WÈÃÉÀÁAQÆÇÈ efÄÆÇÈÉÀÁFG8 ÀÁ4gÅ6ÆÇÈÉÀÁFG8 hYQÇÈ ÀÁiÄÆÇÈÉÀÁÄÅF 4EHÅÇÈÉhYQÇÈÉÀÈGdFÉh4)ÅR hYQÇÈÉÀÁFG8É ÉÉÀÁERBÈ GÄÂÉÀÁFG8 iÁpÃÉqRÁrÉXP1W'É iÁgÇÈÃÉqRÁ1ÇÈÉÀÁFG8 pÁYsÇÈÃÉtÃÄÇÈ Ä#EÇÈÃÉÄEÇÈÃÉ4dÆ6ÇÈÉÀÈGdÆÇÈ pÁYsÇÈÃÉu4pÄ9ÇÉXGdÆÇÈÉÉ7Ä8ÈÉa96ÇÈ É7Ä8ÈÉ414pÄÇÈÉÀÈGdÆÇÈ 4pÁYTÃÉ414pÄRÉÀÁFG8 4bÁvÄYÇÈÃÉq`EÇÈÃÉw2ÇÈ Á46ÇÈÃÉÉÀ!cdÇÈÉxÃÄy €49dÇÈ É‚ÈGÂÈÃÉɁ‚ÈGÂÈÉh$ÉÁFɀ49dÇÈ ƒb#ÆÇÈÃɄ#&ÁsÇÈɀ49dÇÈ dFÁAÇÈÉÄ4Ʉ#&ÁsÇÈÉGdÂÉÁFɀ49dÇÈ ÇÁdÇÈɀ49dÇÈ …"ÁQgÇÈÃɀyÁcÆÇÈ ÀÁW#ÇÈɀGYRÉÀÁFG8 †ÃÄgÆÇÈɇYÅÇÈÃɅ"ÁQgÇÈÉÀÁFG8 y#QÆÇÈÉÀÁFGHÇÈÃÉa96ÇÈ 4EHÅÇÈÉÁQdÇÈ É7Ä8ÈÉ4EHÅÇÈÉÉdFÈ É4yÁÆWBÈÉÀÁFGHÇÈ 54FUÇÈ É7Ä8ÈÉ4ÇÁÆÇÈÉÀÁFGHÇÈ 7Ä8'ÉÀÁFG8
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  27. ÀÁÂÃÄ Å 6 ‚ l mÆƂ  ÅÆÇÈÉÆ (1 ) ‡Ä5“ĘÆwfƐˆ˜‘ÆwfÆg“h“4”Æ647“‰Ä˜ÆiÄÁ5Ãjƀ47Æk—ÁđÄ5ÃjÆ ÆÆvˆ5Æx“h“˜“ˆ4˜ ÆgT C#sÉtÈ 3ˆˆ7˜ €47 ‡Ä5h“‰Ä )h#iE pq#arÈ †Ä˜‘—5Á4‘ ƀ47 –ˆ‘Äà 9@VaTÈÆ9'2Æ9D'2EÆ9rgSHÆ9'&#'(ÆÆ1#0eÆ9gTg& 2007=100 )'g2H „7—‰Á ‚‘“ˆ4 U'uH Uu#($È ÆÆCe#cWf Æd(a 9bc —Ñ—5Ä ˆdd— ‚4“‰Á‘“ˆ4 À5Á4˜ ‚™ˆ5‘ –ÄÁђ ÆX#Y !`aEÆ –ˆ—˜Ä v—54“˜’ ‚“4” RST U2VWÈ ÆIPE Æ9@AQÈ FGH –ˆ—˜“4” Ãˆ‘’“4” €47 vˆˆ‘•ÄÁ5 ÀˆÂÁ‰‰ˆ !&#'(Æ)0 ÆÆ9@AB 1#2 C#ÈDEÈ CVaT vwwxy €xÆ ‚ƒ„…„†ÆÆ €3„‡ 3Ä4Ä5Áà 647Ä8Æ iÄÁ5˜ 80.2 92.8 98.6 106.1 132.7 98.4 98.4 102.2 89.8 109.0 90.9 80.5 92.0 2001 81.3 93.8 99.2 105.3 128.3 99.6 98.5 101.0 89.8 108.2 97.0 80.6 92.1 2002 83.1 94.3 99.5 103.2 122.9 99.4 98.7 100.0 89.8 107.7 98.0 82.9 92.6 2003 84.1 93.9 100.8 99.8 120.2 99.2 98.9 97.6 90.0 105.6 98.4 85.4 92.9 2004 85.8 94.2 102.1 98.8 104.2 100.1 98.7 98.7 89.7 103.8 97.5 88.2 93.4 2005 91.9 96.5 103.1 97.9 100.6 97.0 100.0 98.4 90.7 103.6 97.7 93.8 95.2 2006 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0 2007 101.6 103.2 110.3 97.7 98.1 97.0 103.2 103.2 108.5 101.0 105.1 113.7 106.1 2008 104.9 110.0 111.8 99.2 98.2 98.2 103.2 105.6 120.1 101.6 107.3 116.4 110.5 2009 110.1 113.8 113.2 97.2 97.7 99.7 103.3 107.0 129.2 101.1 119.2 120.8 114.7 2010 113.9 117.0 108.7 104.7 92.0 103.2 103.4 115.5 143.9 99.7 126.7 127.1 119.0 2011 117.8 121.5 110.2 104.4 92.2 108.3 105.6 117.5 148.7 103.3 141.3 132.7 122.4 2012 117.6 126.8 112.6 106.3 93.8 111.0 109.0 122.6 153.8 104.8 153.1 140.5 126.7 2013 120.1 129.6 115.9 114.0 93.7 110.4 112.6 128.2 159.1 105.5 162.3 145.1 130.1 2014 121.3 128.1 117.9 119.5 94.5 111.8 115.6 131.7 164.6 109.5 165.5 147.5 132.9 2015 124.3 125.8 123.2 119.2 95.8 122.9 122.8 134.3 176.6 113.6 194.2 146.6 137.6 2016 121.4 127.3 116.3 119.4 94.7 112.8 116.0 132.2 165.8 110.1 165.8 148.1 133.5 122.4 126.9 122.6 120.5 94.8 113.1 116.8 132.7 166.5 111.9 165.8 149.5 134.4 122.4 125.9 122.6 119.6 95.0 124.2 120.9 133.3 175.2 112.4 177.4 147.8 137.1 124.2 126.1 122.6 119.0 95.5 123.5 123.5 134.7 176.6 114.4 199.8 146.7 137.7 125.8 125.5 122.6 119.5 95.8 122.4 123.7 135.0 177.4 114.1 199.8 146.9 138.0 124.8 125.6 124.9 118.5 96.7 121.6 123.3 134.4 177.2 113.6 199.8 145.0 137.4 %#$Æ  n Æ  n ÆÇÈÆ   !"#$Æ   %#$Æ   Æ  
  28. œŔÅŕÅŖ R ÆÅI8PQ ÀÁÂÃÄÅÆ 7 - ( 1 ) vÄcÄ‚ÅhƒÅ„…b†‡ÃˆÅpbeʼnÄÁcÈÅw…‚†ÅhƒÅxb‘Ådbe’Ä‚ 7È '$8Å7ÈÇ9@$Å7@"A0$Å7BCD1$Å7"2É"E$ÅÅFÉGHÅ7C'C2 2007=100 7'$ ÇÈÉÈ ÇÈÇ ÀÁ ÃÄÅ É ÈÇ ÈÉ !"# È "$ È %&'() Ç012 Ç 13) Ç0 # Ç0'È4 5 '$Å62 10$ È "ÄÁÇ ÆÁÇ ÈÉÇ ÆÁ À À È ÄÉ   aÄbÄcÁÃÅdbeÄf 2011 2012 2013 2014 2015 2016 2017 2012 2013 2014 2015 2016 2017 È Ä FÉA$ÅS2É"E$ÅTGÇ$ 117.3 117.7 118.0 118.3 118.5 118.8 119.1 119.3 119.8 120.1 120.3 120.4 120.4 125.1 120.6 125.3 121.0 125.7 121.2 126.0 121.5 126.1 122.1 126.4 122.4 126.9 122.8 127.1 123.4 127.3 124.1 127.8 124.4 128.2 124.7 128.4 128.7 131.5 128.8 131.5 129.0 131.6 129.4 132.0 129.5 132.2 129.8 132.6 130.2 133.0 130.7 133.5 130.9 133.9 131.1 134.3 131.4 134.4 131.5 134.5 137.1 136.5 137.0 137.3 137.6 137.6 138.0 138.1 137.9 137.9 137.8 137.5 136.8 119.0 122.4 126.7 130.1 132.9 137.6 136.5 ghhiÅpqiÅrstsupasv 2011 !Ä UÉ8Ç@0$8ÅÅ7ÈV(H 124.5 129.7 124.6 130.4 124.5 131.1 125.6 131.1 125.2 131.1 125.8 131.7 127.1 132.0 128.4 133.0 129.2 134.3 129.5 135.7 130.3 136.2 130.3 136.6 136.9 143.7 137.4 143.7 138.0 143.3 139.2 143.9 139.5 143.9 139.7 143.6 141.1 143.9 141.5 145.0 142.2 146.3 142.8 147.8 143.6 148.1 143.8 147.5 146.7 148.6 146.2 148.1 145.7 146.6 145.7 146.9 145.9 146.4 146.7 146.9 147.1 146.9 148.1 146.6 149.1 147.1 149.5 146.3 149.3 145.4 149.6 143.2 142.3 127.1 132.7 140.5 145.1 147.5 146.6 142.3 Àhrpwwh 2011 2012 2013 2014 2015 2016 2017 W1$ 119.0 134.5 119.0 134.5 119.0 134.5 119.0 134.5 119.0 134.5 119.0 134.7 134.1 144.3 134.1 145.6 134.5 145.6 134.5 150.3 134.5 150.3 134.5 151.7 151.7 160.8 151.7 161.4 151.7 161.4 151.7 161.4 151.7 161.4 151.7 161.9 151.7 162.8 151.7 162.8 151.7 162.8 151.7 163.4 159.3 163.4 160.5 163.6 164.3 166.6 164.4 167.1 165.6 198.4 165.7 199.8 165.8 199.8 165.8 199.8 165.8 199.8 165.8 199.8 165.8 199.8 165.8 199.8 165.8 199.8 165.8 199.8 199.8 wxhÀydqaÅpqiÅghhÀ€spu 2011 2012 2013 2014 2015 2016 2017 126.7 141.3 153.1 162.3 165.5 194.2 199.8 Å7ÈVXY8ÅÅ%`0$ 99.5 99.5 99.5 99.6 99.8 99.8 99.9 99.6 99.6 99.8 99.9 100.2 100.8 105.6 100.9 105.1 101.0 104.7 101.3 104.6 102.4 104.4 103.1 104.4 104.0 104.9 104.6 105.0 104.5 103.8 105.5 104.4 105.7 104.9 105.4 105.2 105.1 107.0 104.7 107.0 105.3 107.8 105.1 108.7 105.0 108.4 104.6 108.7 106.2 109.8 105.8 110.1 105.0 110.4 105.4 110.9 106.7 112.1 107.2 112.6 112.0 113.5 112.1 113.2 114.0 113.8 115.5 114.4 113.5 114.3 114.2 113.5 113.2 99.7 103.3 104.8 105.5 109.5 113.6 113.5
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  30. œÅ|ÅŕÅŖ R ÆÅI8PQ ÀÁÂÃÄÅÆ 7 - ( 3 ) vÄcÄ‚ÅhƒÅ„…b†‡ÃˆÅpbeʼnÄÁcÈÅw…‚†ÅhƒÅxb‘Ådbe’Ä‚ 7È '$8Å7ÈÇ9@$Å7@"A0$Å7BCD1$Å7"2É"E$ÅÅFÉGHÅ7C'C2 2007=100 7'$ ÇÈÉÈ ÇÈÇ ÀÁ ÃÄÅ É ÈÇ ÈÉ !"# È "$ È %&'() Ç012 Ç 13) Ç0 # Ç0'È4 5 '$Å62 10$ È "ÄÁÇ ÆÁÇ ÈÉÇ ÆÁ À À È ÄÉ   !Ä wh„„rqdwpÀdhq 2011 2012 2013 2014 2015 2016 2017 ÅÅUYÉqlw 92.0 92.0 91.9 91.9 91.9 91.9 91.9 91.9 92.2 92.4 92.4 92.1 92.1 93.3 92.3 93.4 92.0 93.4 91.8 93.6 91.9 94.1 91.9 93.6 92.1 93.5 92.1 93.6 92.1 93.8 92.3 94.0 92.3 94.8 93.1 94.0 93.8 93.5 94.0 94.0 93.1 94.3 93.7 94.2 93.3 94.5 93.6 94.6 94.2 94.7 93.8 94.7 93.6 94.8 93.7 95.0 93.8 94.4 93.5 95.0 95.2 97.9 94.9 94.9 95.3 95.3 96.0 95.7 95.8 96.0 96.6 96.4 97.2 2012 2013 2014 2015 2016 2017 92.0 92.2 93.8 93.7 94.5 95.8 97.9 uswuspÀdhqÅpqiÅwrxÀrus 2011 È Ä 7ÉEx$8ÅyÈ8Ç1$ 104.5 103.8 104.4 103.3 104.4 103.7 104.5 103.6 104.8 103.2 105.5 103.6 105.8 105.1 104.9 105.4 104.7 105.5 104.6 105.3 104.2 105.5 103.9 105.3 105.3 108.9 105.0 109.1 105.0 109.3 105.1 110.3 104.6 111.1 105.0 111.1 106.3 117.4 106.4 118.0 106.4 117.7 108.9 117.8 109.0 118.4 108.8 118.6 119.4 119.7 119.0 119.7 119.4 119.4 118.9 119.0 118.8 119.0 118.8 119.0 119.4 119.5 119.5 119.8 119.4 119.3 120.2 119.1 120.7 118.6 120.6 117.9 117.1 104.7 104.4 106.3 114.0 119.5 119.2 117.1 sirwpÀdhq 2011 2012 2013 2014 2015 2016 2017 T"CA1$ 108.4 109.7 108.4 109.7 108.4 109.7 108.4 109.7 108.4 109.7 108.4 109.7 108.3 109.7 108.3 109.7 108.3 109.7 109.7 111.6 109.7 111.6 109.7 111.6 111.6 115.7 111.6 115.7 111.6 115.7 111.6 115.7 111.6 115.7 111.6 115.7 111.6 115.7 111.6 115.7 111.6 115.7 115.7 116.3 115.7 116.3 115.7 116.3 116.3 122.6 116.3 122.6 116.3 122.6 116.3 122.6 116.3 122.6 116.3 122.6 116.3 122.6 116.3 122.6 116.3 122.6 122.6 124.9 122.6 124.9 122.6 124.9 124.9 usvÀprupqÀvÅpqiÅyhÀsxv 2011 2012 2013 2014 2015 2016 2017 108.7 110.2 112.6 115.9 117.9 123.2 124.9 z4ÉB$8ÅT{É&0$ 116.3 116.3 116.3 116.5 116.5 116.5 117.2 117.3 116.7 118.5 118.3 117.8 116.8 125.1 117.0 125.4 117.0 125.3 119.3 125.9 120.3 126.0 121.6 127.0 123.8 127.4 123.8 127.8 123.5 126.9 124.6 128.6 125.8 127.9 124.9 128.2 128.5 129.4 128.9 129.4 129.7 130.0 129.3 128.7 129.9 128.4 130.5 128.4 129.2 127.7 130.7 127.2 130.1 126.9 129.6 127.2 129.2 127.1 129.7 126.5 126.1 124.7 125.9 125.6 125.5 125.6 127.2 125.6 125.9 125.0 125.5 125.6 125.7 117.0 121.5 126.8 129.6 128.1 125.8 124.7
  31. œÅÅŕÅŖ R ÆÅI8PQ ÀÁÂÃÄÅÆ 7 - ( 4 ) vÄcÄ‚ÅhƒÅ„…b†‡ÃˆÅpbeʼnÄÁcÈÅw…‚†ÅhƒÅxb‘Ådbe’Ä‚ 7È '$8Å7ÈÇ9@$Å7@"A0$Å7BCD1$Å7"2É"E$ÅÅFÉGHÅ7C'C2 2007=100 7'$ ÇÈÉÈ ÇÈÇ ÀÁ ÃÄÅ É ÈÇ ÈÉ !"# È "$ È %&'() Ç012 Ç 13) Ç0 # Ç0'È4 5 '$Å62 10$ È "ÄÁÇ ÆÁÇ ÈÉÇ ÆÁ À À È ÄÉ   „dvwsxxpqshrvÅahhivÅpqiÅvsutdwsv 2011 2012 2013 2014 2015 2016 2017 !Ä È Ä 7{ 10$ÅUÉP}$8Å~C'$ 109.3 109.3 109.8 110.0 112.0 112.0 116.4 116.0 118.2 118.2 117.3 117.9 117.0 118.8 117.4 118.3 117.8 118.3 117.8 117.8 115.8 115.9 117.2 118.1 117.4 117.2 117.5 117.2 118.9 117.6 118.9 117.6 119.0 117.5 119.1 117.3 117.6 120.9 117.8 120.4 119.3 120.0 120.0 120.4 119.7 120.6 120.4 121.1 121.0 120.9 122.2 121.3 121.2 122.1 121.0 121.8 120.7 122.9 120.7 122.6 121.9 124.7 122.3 123.0 124.0 124.5 124.1 126.1 126.3 125.0 125.0 125.1 124.4 113.9 117.8 117.6 120.1 121.3 124.3 124.7