Turkey Cost of Living Index: 68=100: Istanbul: Miscellaneous data was reported at 446,589,663.600 1968=100 in Oct 2018. This records an increase from the previous number of 443,615,496.000 1968=100 for Sep 2018. Turkey Cost of Living Index: 68=100: Istanbul: Miscellaneous data is updated monthly, averaging 18,628,560.950 1968=100 from Jan 1978 (Median) to Oct 2018, with 490 observations. The data reached an all-time high of 446,589,663.600 1968=100 in Oct 2018 and a record low of 408.300 1968=100 in Jan 1978. Turkey Cost of Living Index: 68=100: Istanbul: Miscellaneous data remains active status in CEIC and is reported by Central Bank of the Republic of Turkey. The data is categorized under Global Database’s Turkey – Table TR.I014: Cost of Living Index: Wage Earners: Istanbul: 1968=100.

Turkey Cost of Living Index: 68=100: Istanbul: Heating & Lighting Articles data was reported at 550,472,074.800 1968=100 in Oct 2018. This records a decrease from the previous number of 554,752,963.100 1968=100 for Sep 2018. Turkey Cost of Living Index: 68=100: Istanbul: Heating & Lighting Articles data is updated monthly, averaging 14,577,039.700 1968=100 from Jan 1978 (Median) to Oct 2018, with 490 observations. The data reached an all-time high of 554,752,963.100 1968=100 in Sep 2018 and a record low of 552.100 1968=100 in Jan 1978. Turkey Cost of Living Index: 68=100: Istanbul: Heating & Lighting Articles data remains active status in CEIC and is reported by Central Bank of the Republic of Turkey. The data is categorized under Global Database’s Turkey – Table TR.I014: Cost of Living Index: Wage Earners: Istanbul: 1968=100.

Turkey Cost of Living Index: 68=100: Istanbul: Foodstuffs data was reported at 325,110,934.400 1968=100 in Oct 2018. This records an increase from the previous number of 322,846,781.000 1968=100 for Sep 2018. Turkey Cost of Living Index: 68=100: Istanbul: Foodstuffs data is updated monthly, averaging 10,443,842.350 1968=100 from Jan 1978 (Median) to Oct 2018, with 490 observations. The data reached an all-time high of 325,110,934.400 1968=100 in Oct 2018 and a record low of 498.500 1968=100 in Jan 1978. Turkey Cost of Living Index: 68=100: Istanbul: Foodstuffs data remains active status in CEIC and is reported by Central Bank of the Republic of Turkey. The data is categorized under Global Database’s Turkey – Table TR.I014: Cost of Living Index: Wage Earners: Istanbul: 1968=100.

Abstract copyright UK Data Service and data collection copyright owner.The Family Expenditure Survey (FES), which closed in 2001, was a continuous survey with an annual sample of around 10,000 households. They provided information on household and personal incomes, certain payments that recurred regularly (e.g. rent, gas and electricity bills, telephone accounts, insurances, season tickets and hire purchase payments), and maintained a detailed expenditure record for 14 consecutive days. The original purpose of the FES was to provide information on spending patterns for the United Kingdom Retail Price Index (RPI). The survey was a cost-efficient way of collecting a variety of related data that the government departments required to correlate with income and expenditure at the household, tax unit and person levels. The annual FES began in 1957 (with an earlier large scale survey conducted in 1953/54) and was one of the first Department of Employment (DE) systems to be computerised in the early 1960s. The UKDA holds FES data from 1961-2001. The Northern Ireland Family Expenditure Survey (NIFES), which ran from 1967-1998, was identical to the UK FES and therefore used the same questionnaires and documentation. However, starting in 1988, a voluntary question on religious denomination was asked of those aged 16 and over in Northern Ireland. The UKDA holds NIFES data from 1968-1998, under GN 33240. Significant FES developments over time include: 1968: the survey was extended to include a sample drawn from the Northern Ireland FES and a new computer system was introduced which was used until 1985 1986: DE and the Office of Population Censuses and Surveys (OPCS) converted the FES into a new database system using the SIR package 1989: the Central Statistical Office (CSO) took over responsibility for the survey 1994: in April, computerised personal interviewing was introduced using lap-top computers, the database system changed to INGRES and the survey changed from a calendar year to financial year basis 1996: in April, OPCS and CSO were amalgamated into the Office for National Statistics (ONS), who assumed responsibility for the FES 1998: from April onwards information from expenditure diaries kept by children aged 7 to 15 was included in data, and grossing factors were made available on the database From 2001, the both the FES and the National Food Survey (NFS) (held at the UKDA under GN 33071) were completely replaced by a new survey, the Expenditure and Food Survey (EFS). Prior to the advent of the EFS, there had previously been considerable overlap between the FES and NFS, with both surveys asking respondents to keep a diary of expenditure. Thus, the 2000-2001 FES was the final one in the series. The design of the new EFS was based on the previous FES; further background to its development may be found in the 1999-2000 and 2000-2001 Family Spending reports. From 2008, the EFS became the Living Costs and Food Survey (LCF) (see under GN 33334). Main Topics:Household Schedule: This schedule was taken at the main interview. Information for most of the questions was obtained from the head of household or housewife, but certain questions of a more individual character were put to every spender aged 15 or over (or 16 or over from 1973 onwards). Until the introduction of the community charge, information on rateable value and rate poundage was obtained from the appropriate local authority, as was information on whether the address was within a smokeless zone. Information was collected about the household, the sex and age of each member, and also details about the type and size of the household accommodation. The main part of the questionnaire related to expenditure both of a household and individual nature, but the questions were mainly confined to expenses of a recurring nature, e.g.:Household: housing costs, payment to Gas and Electricity Boards or companies, telephone charges, licences and television rentalIndividual: motor vehicles, season tickets for transport, life and accident insurances, payments through a bank, instalments, refund of expenses by employer, expenditure claimed by self-employed persons as business expenses for tax purposes, welfare foods, education grants and feesIncome Schedule: Data were collected for each household spender. The schedule was concerned with income, national insurance contributions and income tax. Income of a child not classed as a spender was obtained from one or other of his parents and entered on the parent's questionnaire. Information collected included: employment status and recent absences from work, earnings of an employee, self-employed earnings, National Insurance contributions, pensions and other regular allowances, occasional benefits - social security benefits and other types, investment income, miscellaneous earnings of a 'once-only' character, tax paid directly to Inland Revenue or refunded, income of a child. Diary Records: The diary covered fourteen days. Each household member aged 15 or over (or 16 or over from 1973 onwards) was asked to record all expenditure made during the 14 days. Children aged between 7 and 15 were also asked to complete simplified diaries of their daily expenditure. Data from the children's diaries was included in the survey results for the first time in 1998-99. Multi-stage stratified random sample For specific details of the sampling procedures for individual years, please refer to the annual report. Face-to-face interview Diaries

The Data-compilation is a selection of time-series on wage- and salary development as well as on the development of the national income in Germany from 1850 to 1985. The following studies has been included: - Walther G. Hoffmann (1965): Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts. - Rüdiger Hohls (1991): Arbeit und Verdienst. Entwicklung und Struktur der Arbeitseinkommen im Deutschen Reich und in der Bundesrepublik. - Pierenkemper, Toni (1987): Arbeitsmarkt und Angestellte im deutschen Kaiserreich 1880-1913. Interessen und Strategien als Elemente der Integration eines segmentierten Arbeitsmarktes. - Wiegand, Erich/Zapf, Wolfgang (1982): Wandel der Lebensbedingungen in Deutschland. Wohlfahrtsentwicklung seit der Industrialisierung. Tables in ZA-Online-Database HISTAT: A. Hoffmann, Walther G.: The Growth of the German Economy since the mid of the 19th century A.1 The average earned income per annum by industrial sector (1850-1959) A.2 The average earned income per annum in mining and saline (1850-1959) A.3 The average earned income per annum in industry and craft (1850-1959) A.4 The average earned income per annum in transport (1850-1959) A.5 The average earned income per annum in other services (1850-1959) A.6 Net national product (NNP) in factor costs in current prices and national income per capita according to Hoffmann (1850-1959) A.7 Gross value added and real national income per capita in prices of 1913 according to Hoffmann (1850-1959) A.8 The development of average earned income of employees in industry and craft, Index 1913 = 100 (1850-1959) B. Hohls, Rüdiger: The Sectoral Structure of Earnings in Germany B.1 Nominal annual earnings of employees by industrial sector in Germany in Mark, 1885-1985 B.2 Nominal earnings of white collar workers and blue collar workers in Germany, 1890-1940 C. Living costs, prices and earnings, consumer price index C.1 Development of living costs (index) of medium employees’ households (1924-1978) C.2 Preices and earnings, index 1962 = 100 (1820-2001) C.3 Living costs, consumer price index (1820-2001) D. Pierenkemper, Toni: Employment market and employees in the German ‘Reich’ 1880-1913. D.1 Income of selected white collar categories in Mark (1880-1913) D.2 Real income of selected white collar categories (1880-1913) E. Wiegand, E.: Historical Development of Wages and Living Costs in Germany. E.1 Development of real gross income of blue collar workers in industry, index 1970 = 100 (1925-1978) E.2 Development of real gross income of blue collar workers in industry (1925-1978) E.3 Development of nominal and real national income per capita (1950-1978) E.4 Development of nominal and real national income per capita (1925-1939) E.5 National income: monthly income from dependent personal services per employee (1925-1971) E.6 Overlook: Development of wages, employed workers and gross income from dependent personal services in Germany (1810-1989)

Turkey Cost of Living Index: 68=100: Istanbul: Clothing & House Furniture data was reported at 280,844,178.600 1968=100 in Oct 2018. This records an increase from the previous number of 247,720,636.300 1968=100 for Sep 2018. Turkey Cost of Living Index: 68=100: Istanbul: Clothing & House Furniture data is updated monthly, averaging 8,868,884.600 1968=100 from Jan 1978 (Median) to Oct 2018, with 490 observations. The data reached an all-time high of 280,844,178.600 1968=100 in Oct 2018 and a record low of 410.600 1968=100 in Jan 1978. Turkey Cost of Living Index: 68=100: Istanbul: Clothing & House Furniture data remains active status in CEIC and is reported by Central Bank of the Republic of Turkey. The data is categorized under Global Database’s Turkey – Table TR.I014: Cost of Living Index: Wage Earners: Istanbul: 1968=100.

Turkey Cost of Living Index: 68=100: Istanbul: House Rent & Maintenance data was reported at 833,998,805.200 1968=100 in Oct 2018. This stayed constant from the previous number of 833,998,805.200 1968=100 for Sep 2018. Turkey Cost of Living Index: 68=100: Istanbul: House Rent & Maintenance data is updated monthly, averaging 28,314,058.050 1968=100 from Jan 1978 (Median) to Oct 2018, with 490 observations. The data reached an all-time high of 833,998,805.200 1968=100 in Oct 2018 and a record low of 588.200 1968=100 in Jan 1978. Turkey Cost of Living Index: 68=100: Istanbul: House Rent & Maintenance data remains active status in CEIC and is reported by Central Bank of the Republic of Turkey. The data is categorized under Global Database’s Turkey – Table TR.I014: Cost of Living Index: Wage Earners: Istanbul: 1968=100.

The Data-compilation is a selection of time-series on wage- and salary development as well as on the development of the national income in Germany from 1850 to 1985. The following studies has been included:

• Walther G. Hoffmann (1965): Das Wachstum der deutschen Wirtschaft seit der Mitte des 19. Jahrhunderts.
• Rüdiger Hohls (1991): Arbeit und Verdienst. Entwicklung und Struktur der Arbeitseinkommen im Deutschen Reich und in der Bundesrepublik.
• Pierenkemper, Toni (1987): Arbeitsmarkt und Angestellte im deutschen Kaiserreich 1880-1913. Interessen und Strategien als Elemente der Integration eines segmentierten Arbeitsmarktes.
• Wiegand, Erich/Zapf, Wolfgang (1982): Wandel der Lebensbedingungen in Deutschland. Wohlfahrtsentwicklung seit der Industrialisierung.

Tables in ZA-Online-Database HISTAT:

A. Hoffmann, Walther G.: The Growth of the German Economy since the mid of the 19th century A.1 The average earned income per annum by industrial sector (1850-1959) A.2 The average earned income per annum in mining and saline (1850-1959) A.3 The average earned income per annum in industry and craft (1850-1959) A.4 The average earned income per annum in transport (1850-1959) A.5 The average earned income per annum in other services (1850-1959) A.6 Net national product (NNP) in factor costs in current prices and national income per capita according to Hoffmann (1850-1959) A.7 Gross value added and real national income per capita in prices of 1913 according to Hoffmann (1850-1959) A.8 The development of average earned income of employees in industry and craft, Index 1913 = 100 (1850-1959)

B. Hohls, Rüdiger: The Sectoral Structure of Earnings in Germany B.1 Nominal annual earnings of employees by industrial sector in Germany in Mark, 1885-1985 B.2 Nominal earnings of white collar workers and blue collar workers in Germany, 1890-1940

C. Living costs, prices and earnings, consumer price index C.1 Development of living costs (index) of medium employees’ households (1924-1978) C.2 Preices and earnings, index 1962 = 100 (1820-2001) C.3 Living costs, consumer price index (1820-2001)

D. Pierenkemper, Toni: Employment market and employees in the German ‘Reich’ 1880-1913. D.1 Income of selected white collar categories in Mark (1880-1913) D.2 Real income of selected white collar categories (1880-1913)

E. Wiegand, E.: Historical Development of Wages and Living Costs in Germany. E.1 Development of real gross income of blue collar workers in industry, index 1970 = 100 (1925-1978) E.2 Development of real gross income of blue collar workers in industry (1925-1978) E.3 Development of nominal and real national income per capita (1950-1978) E.4 Development of nominal and real national income per capita (1925-1939) E.5 National income: monthly income from dependent personal services per employee (1925-1971) E.6 Overlook: Development of wages, employed workers and gross income from dependent personal services in Germany (1810-1989)

The effects of direct and indirect taxation and benefits received in cash or kind on household income, across the generations and by age.

This data is estimated by combining multiple years of the Living Costs and Food Survey from 1978 to financial year ending March 2017 and the Household Finances Statistics, from financial year ending 2018 to financial year ending 2021 with the exception of 1979 and 1981. All financial amounts are adjusted for inflation using the Consumer Prices Index including owner occupiers’ housing costs (CPIH) excluding Council Tax, to their financial year ending March 2018. For example, the mean disposable income for those aged 35 and born in the 1970’s (£35,752) is estimated by taking the average (in real terms) of the household disposable income for these people across the combined dataset.

Judgement on one´s own job situation and the situation in the job market in the course of time. This is a three-wave panel. Topics: First wave: The first wave of this investigation is at the same time the survey described under ZA Study No. 1084. Topics: professional career and satisfaction with occupational development; work satisfaction; job security; career orientation; attitude to occupational planning; correspondence of training and future demands of occupation; characterization of job; the route to work and means of transport used; characterization of company; judgement on the development of the company and the area of business; assumed difficulties in searching for work; accepting setback in a change of job; readiness for mobility; participation in further education measures within and outside work; readiness for further education; weekly working hours and overtime; assessment of self-confidence in selected situations (scale); judgement on the reasonableness of an offer of a position as worker or with lower income; memberships; residential status; type of city; size of municipality class; administrative district. Demography: age; sex; marital status; school education; vocational training; household income; size of household; composition of household; respondent is head of household; characteristics of head of household. Second wave: as a so-called panel maintenance a short questionnaire was sent to the respondents. In this mail survey (November 1980) the following questions were posed: current employment status; moving frequency; change of residence and distance moved; cause of moving. Third wave: The third wave is identical to the fourth wave of the unemployed survey as described in ZA Study No. 1362: assessment of the economic situation; times of employment or unemployment from 1978 to 1981; assessment of occupational consequences of personal unemployment; reason for last unemployment; number of jobs offered by employment office; one´s own initiative in the search for work; aid taken advantage of for occupational reintegration; satisfaction with employment office and case worker; description of current employment situation; interest in regaining employment; part time or full time position; assessment whether employment can be resumed in the next five years; establishing a specific occupation or a specific profession; income concepts; occupational mobility; acceptable or reasonable problems in regaining employment; current registration with employment office as unemployed; reasons for not finding a suitable position (scale); sources of income to support cost of living; assessment of condition of health; reduction in earning capacity; illnesses and complaints in the last three months; psychological self-characterization of self-confidence and work orientation (scales); moving frequency. The following questions were also posed to those who in the meantime had found work: success of mediation by employment office; temporary or permanent employment; detailed characterization of current activity and relationship with occupation learned; hours worked each week and overtime; length of route to work; assessment of the security of one´s own job. Those who had not yet found work characterized their last job according to the same criteria. Beurteilung der eigenen Arbeitssituation und der Lage am Arbeitsmarkt im Zeitverlauf. Es handelt sich um ein dreiwelliges Panel. Themen: 1.Welle: Die erste Welle dieser Untersuchung ist gleichzeitig die unter der ZA-Studien-Nr. 1084 beschriebene Befragung: Themen: Berufslaufbahn und Zufriedenheit mit der beruflichen Entwicklung; Arbeitszufriedenheit; Arbeitsplatzsicherheit; Karriereorientierung; Einstellung zur Berufsplanung; Entsprechung von Ausbildung und Zukunftsanforderungen des Berufs; Charakterisierung des Arbeitsplatzes; Arbeitsweg und benutztes Verkehrsmittel; Charakterisierung des Betriebs; Beurteilung der Entwicklung des Betriebs und der Branche; vermutete Schwierigkeiten bei einer Arbeitsplatzsuche; Inkaufnahme von Verschlechterungen bei einem Arbeitsplatzwechsel; Mobilitätsbereitschaft; Teilnahme an inner- und außerbetrieblichen Fortbildungsmaßnahmen; Weiterbildungsbereitschaft; wöchentliche Arbeitszeit und Überstunden; Einschätzung des Selbstvertrauens in ausgewählten Situationen (Skala); Beurteilung der Zumutbarkeit einer angebotenen Stelle als Arbeiter bzw. mit geringerem Verdienst; Mitgliedschaften; Wohnstatus; Ortstyp; Gemeindegrößenklasse; Regierungsbezirk. Demographie: Alter; Geschlecht; Familienstand; Schulbildung; Berufsausbildung; Haushaltseinkommen; Haushaltsgröße; Haushaltszusammensetzung; Befragter ist Haushaltsvorstand; Charakteristika des Haushaltsvorstands. 2.Welle: Als sogenannte Panelpflege wurde ein Kurzfragebogen an die Befragten verschickt. In dieser postalischen Befragung (November 1980) wurde gefragt: Derzeitiger Erwerbsstatus; Umzugshäufigkeit; Wohnungswechsel und Umzugsentfernung; Anlaß für den Umzug. 3.Welle: Die dritte Welle ist identisch mit der vierten Welle der Arbeitslosenbefragung, so wie sie in der ZA-Studien-Nr. 1362 beschrieben ist: Einschätzung der wirtschaftlichen Situation; Zeiten der Berufstätigkeit bzw. Arbeitslosigkeit von 1978 bis 1981; Einschätzung der beruflichen Folgen der eigenen Arbeitslosigkeit; Grund für die letzte Arbeitslosigkeit; Anzahl der angebotenen Stellen vom Arbeitsamt; Eigeninitiative bei der Arbeitssuche; in Anspruch genommene Hilfen für die berufliche Wiedereingliederung; Zufriedenheit mit dem Arbeitsamt und dem Arbeitsvermittler; Beschreibung der derzeitigen Erwerbssituation; Interesse an der Wiedererlangung einer Berufstätigkeit; Teilzeit- oder Vollzeitstelle; Einschätzung, ob eine Berufstätigkeit in den nächsten fünf Jahren wieder aufgenommen werden kann; Festlegung auf eine bestimmte Tätigkeit oder einen bestimmten Beruf; Einkommensvorstellungen; berufliche Mobilität; in Kauf genommene bzw. zumutbare Probleme zur Wiedererlangung einer Berufstätigkeit; derzeitige Registrierung beim Arbeitsamt als arbeitslos; Gründe, weshalb keine geeignete Stelle gefunden wurde (Skala); Einkommensquellen zur Bestreitung des Lebensunterhalts; Einschätzung des Gesundheitszustands; Erwerbsminderung; Krankheiten und Beschwerden in den letzten drei Monaten; psychologische Selbstcharakterisierung des Selbstvertrauens und der Arbeitsorientierung (Skalen); Umzugshäufigkeit. Diejenigen, die inzwischen eine Tätigkeit gefunden hatten, wurden zusätzlich gefragt: Erfolg der Vermittlung durch das Arbeitsamt; vorübergehendes oder Dauerarbeitsverhältnis; detaillierte Charakterisierung der derzeitigen Tätigkeit und Verhältnis zum erlernten Beruf; Wochenarbeitsstunden und Überstunden; Dauer des Arbeitswegs; Einschätzung der Sicherheit des eigenen Arbeitsplatzes. Diejenigen, die noch keine Arbeit gefunden hatten, charakterisierten ihre letzte Arbeitsstelle nach den gleichen Kriterien. Household sample of employed workers and employees according to a random route procedure. Foreigners were not interviewed. Haushaltsstichprobe der beschäftigten Arbeiter und Angestellten nach einem Random-Route-Verfahren.

These datasets contain aggregated expenditure and demographic variables, that are derived from the Family Expenditure Survey (GN 33057), the Expenditure and Food Survey/Living Costs and Food Survey (GN 33334), the General Household Survey (GN 33090) and the Health Survey for England (GN 33261). These files can be used to replicate the results in the paper Banks, J., Blundell, R., Levell, P. and Smith, J. "Life-Cycle Consumption Patterns at Older Ages in the US and the UK: Can Medical Expenditures Explain the Difference?", AEJ: Economic Policy (August, 2019) (see related resources). This proposal sets out a major new programme of research that will lead to significant scientific progress and policy impact. Building on the expertise developed at the Centre and at IFS, we will use the developments in econometric techniques and data availability, including linked survey and administrative data, to push our research agenda in exciting new directions. The focus of the work will be on: a) Consumers and markets. We will use insights from behavioural economics and robust methods to understand within-household behaviour and we will explore the relationships between government policy, firm behaviour and outcomes for consumers. This work has the potential to transform our understanding of the effects of policy interventions that either change the relative prices of the goods consumers buy (e.g. taxes on alcohol, green levies, sugar taxes) or try to change consumers' preferences (e.g. through information campaigns or restrictions on advertising). b) Inequality, risk and insurance. Understanding the determinants of inequality is central to our agenda. We will focus on understanding inequality across the life cycle and across and within generations. We will explore the role of housing, of insurance and of market and non-market mechanisms in managing risk and uncertainty. The availability of new administrative data linked to existing surveys will allow us to examine the dynamics of inequality and the impact of alternative policies. In particular, we will focus on the role of wealth and bequests in generating within-cohort inequality among the younger generations and we will investigate how uncertainty is resolved over the life cycle and how this affects the degree of insurance provided by taxes and benefits at different ages. c) Public finances and taxation. Focusing on high earners and multinational companies, we will use newly-available data to throw new light on risks to the public finances in the UK from these vital but increasingly risky sources of revenue. We will also develop a programme of work that focuses on the particular issues facing tax design in middle-income countries. d) Evolution of human capital over the life cycle. We aim to make major strides in understanding the process of formation of human capital from the early years to young adulthood, how human capital is rewarded in the labour market, how it is linked to labour supply and productivity, and how the evolution of health and well-being interacts with labour supply and other outcomes in later years. These issues are intricately related and we envisage a joined-up programme of work that will provide new answers to some of the most important questions currently facing policymakers. How do people make decisions over savings, nutrition, education and labour supply and how can government influence those decisions? What is driving increased levels of income inequality and how might interventions in education and through the tax and welfare system ameliorate them, and at what cost? How should governments respond to the pressures on corporate and individual tax revenues created by increasing globalisation? What drives decisions over pension savings, health behaviours and retirement decisions and how should governments design policy in the face of an ageing population? In answering these questions, we will make use of the unique expertise and data resources brought together at the Centre. Crucially, our intention is also to take a consistent approach in which we will model the determinants of individual decisions over the life course and the interactions between economic actors; we will model behavioural 'biases' and market frictions; we will use a combination of available data, randomised controlled trials and structural modelling to understand not just the effect of policies but also what drives that effect and hence what might be the effect of other policies; and we will develop new data and measurement tools. Derived dataset using data collected from household surveys of the UK population. The LCFS collects detailed data on household expenditure which we were able to use to separate out spending into different categories for comparison with spending in the United States (as measured in the Consumer Expenditure Survey). The HSE and GHS were chosen as they have household level data on self-reported health which we were able to compare across different cohorts and also with measures from similar surveys in the US.

Abstract

Latar belakang kegiatan SBH:

Indeks Harga Konsumen (IHK) merupakan salah satu data strategis Badan Pusat Statistik (BPS) yang diperlukan sebagai dasar penentuan kebijakan pemerintah. Persentase perubahan IHK atau yang lebih dikenal dengan istilah tingkat inflasi/deflasi merupakan indikator ekonomi penting yang kualitas datanya perlu ditingkatkan dari waktu ke waktu.

Salah satu bahan dasar penghitungan IHK adalah Survei Biaya Hidup (SBH). SBH pertama kali dilakukan pada tahun 1977/1978. Saat ini IHK dihitung berdasarkan SBH tahun 2007, yang merupakan survei ke-6 sejak pertama kali dilaksanakan. Seiring dengan perkembangan teknologi informasi, perubahan pendapatan masyarakat, perubahan pola penawaran dan permintaan barang/jasa, perubahan kualitas dan kuantitas barang/jasa, serta perubahan sikap dan perilaku masyarakat yang mampu mengubah pola konsumsi masyarakat, paket komoditas (commodity basket) dan diagram timbang hasil SBH 2007 diperkirakan sudah tidak sesuai lagi untuk menggambarkan keadaan sekarang secara tepat yang diakibatkan oleh perubahan-perubahan tersebut.

Data yang dikumpulkan dari SBH

1. Memperoleh Paket Komoditas dan Diagram Timbang untuk memperbaharui Indeks Harga Konsumen (IHK)

2. Mendapatkan data dasar Nilai Konsumsi (NK0)

3. Mendapatkan keterangan tentang keadaan social ekonomi rumah tangga perkotaan

4. Melengkapi data yang diperlukan untuk penghitungan pendapatan nasional dan regional

Geographic coverage

Sebagian Wilayah Idonesia, sebutkan : dilaksanakan di 33 ibukota dan 49 kabupaten/kota

Analysis unit

Unit analisis pada SBH 2012 triwulan 1 dilakukan di daerah perkotaan (urban area) dengan total sampel rumahtangga sebanyak 136.080 rumahtangga.

Universe

SBH 2012 triwulan 1 hanya mencakup rumah tangga biasa dan tidak termasuk rumah tangga khusus

Kind of data

Sample survey data [ssd]

Frequency of data collection

Triwulanan

Mode of data collection

Face-to-face [f2f]

生活费指数：68=100：伊斯坦布尔：服装及家具在10-01-2018达280,844,178.6001968=100，相较于09-01-2018的247,720,636.3001968=100有所增长。生活费指数：68=100：伊斯坦布尔：服装及家具数据按月更新，01-01-1978至10-01-2018期间平均值为8,868,884.6001968=100，共490份观测结果。该数据的历史最高值出现于10-01-2018，达280,844,178.6001968=100，而历史最低值则出现于01-01-1978，为410.6001968=100。CEIC提供的生活费指数：68=100：伊斯坦布尔：服装及家具数据处于定期更新的状态，数据来源于Central Bank of the Republic of Turkey，数据归类于Global Database的土耳其 – 表 TR.I013：生活费指数：工薪族：伊斯坦布尔：1968=100。

生活费指数：68=100：伊斯坦布尔：加热和照明物件在10-01-2018达550,472,074.8001968=100，相较于09-01-2018的554,752,963.1001968=100有所下降。生活费指数：68=100：伊斯坦布尔：加热和照明物件数据按月更新，01-01-1978至10-01-2018期间平均值为14,577,039.7001968=100，共490份观测结果。该数据的历史最高值出现于09-01-2018，达554,752,963.1001968=100，而历史最低值则出现于01-01-1978，为552.1001968=100。CEIC提供的生活费指数：68=100：伊斯坦布尔：加热和照明物件数据处于定期更新的状态，数据来源于Central Bank of the Republic of Turkey，数据归类于Global Database的土耳其 – 表 TR.I013：生活费指数：工薪族：伊斯坦布尔：1968=100。

生活费指数：68=100：伊斯坦布尔：房屋出租和维护在10-01-2018达833,998,805.2001968=100，相较于09-01-2018的833,998,805.2001968=100保持不变。生活费指数：68=100：伊斯坦布尔：房屋出租和维护数据按月更新，01-01-1978至10-01-2018期间平均值为28,314,058.0501968=100，共490份观测结果。该数据的历史最高值出现于10-01-2018，达833,998,805.2001968=100，而历史最低值则出现于01-01-1978，为588.2001968=100。CEIC提供的生活费指数：68=100：伊斯坦布尔：房屋出租和维护数据处于定期更新的状态，数据来源于Central Bank of the Republic of Turkey，数据归类于Global Database的土耳其 – 表 TR.I013：生活费指数：工薪族：伊斯坦布尔：1968=100。