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Inflation rates experienced by different groups of consumers within a country vary. This is because the prices of goods and services and the expenditure patterns of consumers differ. The published inflation rate is used for important decisions regarding the preservation of consumer purchasing power. These include the adjustment of social grants and minimum wages by government and the benchmarking of returns by investors when making investment decisions. It is thus vital that inflation is measured accurately to ensure the purchasing power of consumers is preserved. Current measures of inflation published by Stats SA are applicable to typical consumers and are not relevant to each individual. This resource supplements a study that seeks to provide a publicly available model that can be used by consumers to calculate their personal rate of inflation.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Consumer Price Index CPI in India increased to 193 points in May from 192.60 points in April of 2025. This dataset provides - India Consumer Price Index (CPI) - actual values, historical data, forecast, chart, statistics, economic calendar and news.
SUSENAS (National Socio-economic Survey) was held for the first time in year 1963. In the last two decades, up to year 2010, SUSENAS was conducted every year. SUSENAS was designed to have 3 modules (Module of Household Consumption/Expenditure, Module of Education and Socio-culture, and also Module of Health and Housing) and each module should be conducted every 3 years. Household Consumption/ Expenditure Module of SUSENAS shall be conducted in year 2011.
To improve the accuracy of data result and in line with the increased frequency of household consumption/expenditure data request for quarterly GDP/GRDP and poverty calculation, data collection of household consumption/expenditure, it is planned that starting in 2011 it should be held quarterly. Each year, collecting data shall be conducted in March, June, September, and December.
In accordance with the 5-year cycle, in year 2012, BPS (Central Statistical Agency) shall have planned Survei Biaya Hidup-SBH (Cost of Living Survey) with the aim to generate a commodity package and a weigh diagram in the calculation of Consumer Price Index (CPI). Data of food and non-food consumption expenditures as well as household characteristics collected in SBH and SUSENAS has the same concept/definition, but different implementation time. In order to be more efficient in the utilization of resources of the two surveys and to have a better quality of results achieved, in year 2011 a trial of SUSENAS and SBH integration shall be conducted in 7 cities (Medan, Sampit, Denpasar, Kudus, Bulukumba, Tual, and South Jakarta).
Poverty data, CPI/Inflation data, GDP/GRDP are BPS strategic data that have to be released on time. Therefore, planning, field preparation, processing, and presentation of data SUSENAS 2011 activities and trial of integrating SUSENAS and SBH must be in accordance with the set schedule.
Activities of SUSENAS 2011 preparation shall be conducted in year 2010, covering activities of workshop/training of chief instructor with the aim to synchronize the perception toward the concept/definition as well as procedure and protocol of survey implementation. National instructor training will also be conducted in year 2010.
National coverage, representative to the district level
Household Members (Individual) and Household
Susenas 2011 cover 300,000 household sample spread all over Indonesia where each quarter distribute about 75,000 household sample (including 500 households additional sample for Survey in Maluku Province). The result from each quarter can produce national and provincial level estimates. Meanwhile from the cummulative four quarter, the data can be presented until the district/municipality level.
Sampling method is the structured three phase sampling with the following method:
a. First phase, selection of nh census area from Nh with pps (Probability Proportional to Size)with sizeas the total households of SP2010 (M i ).The census area is then randomly allocated into four quarters. Total sampling will be nh= 30,000 census areas thus there will be 7,500 census areas for each quarter. From 7,500 census areas of the First Quarter of the National Socio-Economic Survey (Susenas), some 5,000 census areas are systemically selected for the First Quarter of the 2011 National Labor Force Survey (Sakernas) and will be used again for the second, third and fourth quarter
b. Second phase, to select: - two BS from each selected census area of the second and third quarter of Susenas, and the first quarter which is also selected for the first quarter of Sakernas, which then from the selected census blocks, is randomly allocated one for Susenas/SBH, and one [for] Sakernas, or - one BS from each selected census area of the fourth quarter and first quarter only for Susenas with pps with a household size of SP2010-RBL1.
c. Third phase, from each selected census block for Susenas, a number of regular households are systemically selected (m=10) based on the updated SP2010-C1 household listing by using the VSEN11-P List. Names of household head (KRT) are extracted from SP2010-C1 for name, address and education level variables, followed by field updates.
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Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Inflation rates experienced by different groups of consumers within a country vary. This is because the prices of goods and services and the expenditure patterns of consumers differ. The published inflation rate is used for important decisions regarding the preservation of consumer purchasing power. These include the adjustment of social grants and minimum wages by government and the benchmarking of returns by investors when making investment decisions. It is thus vital that inflation is measured accurately to ensure the purchasing power of consumers is preserved. Current measures of inflation published by Stats SA are applicable to typical consumers and are not relevant to each individual. This resource supplements a study that seeks to provide a publicly available model that can be used by consumers to calculate their personal rate of inflation.