{"doc_desc":{"title":"Household  Income and Expenditure Survey - 2005","idno":"DDI-LKA-DCS-HIES-2005-v1.0","producers":[{"name":"Department of Census and Statistics","abbreviation":"DCS","affiliation":"Minstry  of  Finance  &  Planning","role":"Data Collection"}],"prod_date":"2008-04-28","version_statement":{"version":"Version 1.0 ( April 2008 )."}},"study_desc":{"title_statement":{"idno":"LKA-DCS-HIES-2005-v1.0","title":"Household Income and Expenditure Survey - 2005","sub_title":"Special survey","alt_title":"HIES 2005"},"authoring_entity":[{"name":"Department of Census and Statistics","affiliation":"Ministry of Finance and Planning"}],"oth_id":[{"name":"","affiliation":"","email":"","role":""}],"production_statement":{"copyright":"(C) 2008, Department of Census and Statistics","prod_date":"2008-01-30","funding_agencies":[{"name":"Government of Sri Lanka","abbreviation":"GOSL","role":""}]},"distribution_statement":{"contact":[{"name":"Information Unit","affiliation":"Department of Census and Statistics","email":"information@statistic.gov.lk ","uri":"http\/\/:www.statistics.gov.lk"},{"name":"Sample Survey Division","affiliation":"Department of Census and Statistics","email":"Sample.survey@statistic.gov.lk ","uri":"http\/\/:www.statistics.gov.lk"},{"name":"","affiliation":"","email":"","uri":""}]},"series_statement":{"series_name":"Income\/Expenditure\/Household Survey [hh\/ies]","series_info":"Household Income & Expenditure Survey has been conducted, since 1990 as a separate survey. In the year 2005 a special household Income & Expenditure Survey was conducted to take into account  the income  & expenditure patterns of the country after the occurrence of the Tsunami disaster  in December 2004. The sample size of the survey was 5000 housing units distributed among all 25 districts in Srilanka. Data was collected for three months -  from September 2005 to November 2005. This report provides the estimated values based on the 3 months period from September to November 2005.The tables in this report are presented at national level & sector level along with a comparison of the information and findings of the previous surveys.\n\nThe data was collected by direct interviews using a special schedule  having three sections:-  \n\n(1) Demographic characteristics\n(2) Household expenditure (Food and Non-food items)\n(3) Household income (Monetary and Non-monetary income)"},"version_statement":{"version":"v1.0: Full edited dataset, original version  for internal DPD use.","version_date":"2008-04-28","version_notes":"v1.0: Full edited dataset, original version  for internal DPD use."},"study_info":{"topics":[{"topic":"consumption\/consumer behaviour [1.1]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"income, property and investment\/saving [1.5]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"},{"topic":"land use and planning [10.2]","vocab":"CESSDA","uri":"http:\/\/www.nesstar.org\/rdf\/common"}],"abstract":"This survey provides information on household income and expenditure leading to measure the levels and changes of  the living conditions of the people and  to observe the consumption patterns .\n\nKey  objectives  of  the  survey\n    -  To  identify the  income patterns  in  Urban, Rural and Estate Sectors & provinces.\n    -  To  identify  the income  patterns  by  income  levels.\n    -  Average  consumption  of  food  items  and  non  food  items\n    -  Expenditure  patterns  by  sector  and  by  income  level.","time_periods":[{"start":"2005-09","end":"2005-11","cycle":""}],"coll_dates":[{"start":"2005-09-01","end":"2005-11-03","cycle":""}],"nation":[{"name":"Sri Lanka","abbreviation":"LKA"}],"geog_coverage":"National coverage.","analysis_unit":"Household, Individuals","universe":"For this survey a sample of buildings and the occupants therein was drawn from the whole island","data_kind":"Sample survey data [ssd]","notes":"The  scope  of  HIES 2005 includes the following key sections:-\n\n                                                1). Demographic characteristics\n                                                2). Income \n                                                3). Expenditure\n----------------------------------------------------------------------------------------------------------------------------\n\n\nIdentification  and Demographic Information\n    -  Address\n    -  Province\n    -  District\n    -  D.S. Division\n    -  Name of MC\/UC\n    -  G. N. Division\n    -  Name  of  Village\n    -  Name  of  Estate\n    -  C.B. No  &  SSU No.\n    - Sample Stratum\n    -  Survey  Month\n    -  Number  of  households\n    -  Name  of  the Head  of the  household\n    -  Interviewer's  &  Supervising Office\n    -  Demographic  Characteristics\n      \nExpenditure\n    -  Daily consumption on Food,  Drink  and  Tobacco    \n       ( Cereals,  Prepared  foods,  Pulses,  Vegetables,  Leafy  Vegetables,  Yams & other,  Meat,  Fish,  Dried  fish,  \n         Eggs, Coconuts,  Condiments,  Other  foods,    Milk  and  milk foods,  Fats  and  Oils, Sugar,  Juggery  and  \n        Treacle,  Dried  foods,  Canned  Fruits,  Confectioner  and  Short  eats, Beverages-Non alcoholic,  Liquor,  \n        Drugs  and  Tobacco)\n    -  Household  expenditure on  Housing, Fuel and  Light,  Non-durable  goods, Services  and  Consumer durables  \n       for  main  Household\n       ( Housing,  Fuel  and  Light,  Personal care expenses,  Health expenses,  Transport  fees, Maintenance of \n       private Vehicles , Communication, Education,  Recreation  entertainment,  Non durable household goods,\n       Household  services,  Clothing and Textiles,  Foot  wear  and  other  personal  affects,  Durable  household  \n       goods,  Other  expenses,  Other ad-hoc  expenses)\n    -  Expenditure on Housing, Fuel & Light, Non-durable goods, Services & Consumer durables for boarders &\n      domestic servants.\n\nIncome\n    -  Income from paid employment\/s  during  last  four  weeks\/ last calendar month\n    -  Income from agricultural activities - (Paddy, Other seasonal crops)\n    -  Income from other agricultural activities.\n  -  Income From Non- agricultural activities\n    -  Income from Other cash receipt during last calendar month \/ last 12 month\n    -  Income by Chance or ad-hoc gains during last 12 months\n    - Income in kind during last calendar month"},"method":{"data_collection":{"data_collectors":[{"name":"Department of Census and Statistics","abbreviation":"DCS","affiliation":"Ministry of Finance and Planning"}],"sampling_procedure":"A two stage stratified random sample design was used in the survey. Urban, Rural and Estate sectors of the Districts were the domains for stratification. The sample frame was the list of buildings that were prepared for the Census of Population and Housing 2001.\n\nSelection of Primary Sampling Units (PSU's)\nPrimary sampling units are the census blocks prepared for the Census of Population and Housing - 2001. The sample frame, which is a collection of all census blocks in the domain, was used for the selection of primary sampling units. A sample of 500 primary sampling units was selected from the sampling frame for the survey.\n\nSelection of Secondary Sampling Units (SSU's)\nSecondary Sampling Units are the housing units in the selected 500 primary sampling units (census blocks). From each primary sampling unit 10 housing units (SSU) were selected for the survey. The total sample size of 5000 housing units was selected and distributed among Districts in Sri Lanka.","coll_mode":["Face-to-face [f2f]"],"research_instrument":"Questionaires\n\n                  The survey schedule was designed to collect data by household  and separate schedules were used for each household identified according to the definition of the household within the housing units selected for the survey. The survey schedule consists three main sections . \n\n                 1. Demographic section \n                 2. Expenditure\n                 3.  Income\n                 \nThe Demographic characteristics and usual activities of the inmates belonging to the household were reported in the Demographic section of the schedule (and close relatives temporarily living away are also listed in this section). Expenditure section has two sub sections to report food and non-food consumption data separately. Expenditure incurred on their own decisions by boarders and servants are recorded in the sub section under the Main expenditure section. The income has seven sub sections categorized according to the main sources of income.","coll_situation":"Field data Collection\n\nData collection in the field was done by the statistical officers attached to the Divisional Secretariats in the Districts. The allocated number of blocks to the District that is to be surveyed in the month was equally distributed among the available weeks of the month. A  fresh listing of total housing units belonging  to the block was done one month before the survey was conducted and the selection of the SSU's were made from this updated list. The data collection was done in three visits made. Eg. on Monday the Demographic and Income related data were collected on the survey schedule and the members of the households were educated about  recording the figures of consumption took place within the week. A separate sheet was provided for this purpose to be filled by the members of the households. A  second visit was made in the mid of the week to supervise the householders' reporting work. The report was collected back after making the necessary corrections in the third  visit made on the following Sunday.","act_min":"A group of statistical officers (Field Officers)were supervised by District Staff officers ( Statisticians,Deputy Directors)  and the statisticians attached to the Sample Survey Division of DCS.","method_notes":"Data was processed in district -wise batches and stored in separate files.\n\nData processing included the following steps. \n\n     1.  Counting and accepting the filled questionnaires by the DP Division\n     2.  Do a visual check for completeness\n     3.  Preliminary editing and marking codes\n     4.  Entry of data \n     5.  Run edit program for each District batch\n     6.  Produce error report and return to the Survey office\n     7.  Correction of errors on the report\n     8.  Change incorrect data using the corrected error report\n     9.  Re-run the edit program and repeat the error correction procedure\n   10.  Produce final report on clean data with a backup of clean data.\n   11.  Combining all District files to form the Master file \n   11.  Re-coding of variables needed for analysis and update the file with sample weights\n   13. Tabulations"},"analysis_info":{"sampling_error_estimates":"The exact differences or sampling error ,varies depending on the particular sample selected and the variability is measured by the standard error of the estimate. There is about a 95% chance or level of confidence that an estimate based on a sample will differ by no more than 1.96 standard  errors from the true population value because of sampling error. Analyses relating to the HIES are generally conducted at the 95% level of confidence .\n \n                        confidence interval =    Estimate value \u00b1 (standard error )*(1.96)","data_appraisal":"http:\/\/www.statistics.gov.lk\/HIES\/HIES%202007\/introduction%20%20HIES.pdf\n\nBy visiting the above website a description about the adjustments  for  non-response  could be read in section  1.2  of  the Final report."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"Under the Statistical ordinance, micro data cannot be released with identifications for public use. Procedures are in place to ensure that information relating to any particular individual person, household or undertaking will be kept strictly confidential and will not be divulged to external parties. Information on individual or individual Household\/establishment will not be divulged or published in such a form that will facilitate the identification of any particular person or establishment as the data have been collected under the Census\/Statistical ordinance, according to which the information at individual level cannot be divulged and such information is strictly confidential.","required":"yes","form_no":"","uri":""}],"contact":[{"name":"Director General","affiliation":"Department of Census and Statistics","email":"dgcensus@sltnet.lk","uri":"http\/\/:www.statistics.gov.lk"}],"cit_req":"\"Department of Census and Statistics, Household Income and Expenditure Survey 2005, Version 1.0 of the public use dataset, April, 2008, provided by the National Data Archive, Data Processing Division, www.statistics.gov.lk\"","conditions":"The dataset has been anonymized and is available as a Public Use Dataset. It is  accessible to all for statistical and research purposes only, under the following terms and conditions:\n\n1. The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement.\n \n2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and not for investigation of specific individuals or organizations.\n \n3. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. \n \n4. No attempt will be made to produce links among datasets provided by the Department  or among data from the Department and other datasets that could identify individuals or organizations. \n\n5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the Department will cite the source of data in accordance with the Citation Requirement provided with each dataset. \n\n6. An electronic copy of all reports and publications based on the requested data will be sent to the Department  \n\nThe following rules apply to micro data released by the Department of Census and Statistics.\n\n\u2022 Only the requests of Government Institutions, Recognized Universities, Students, and selected international agencies are entertained. However, the Data users are required to strictly adhere to\nthe terms stipulated in the agreement form.\n\n\u2022 All the data requests should be made to Director General (DG) of the DCS as the sole authority of releasing data is vested with the DG, DCS. DCS of Sri Lanka reserves sole right to approve or reject any data request made depending on the confidential nature of the data set and intended purpose of the study or analysis.\n\n\u2022 Requests for micro data should be made through the agreement form designed by DCS for this purpose (Form D.R.1). The agreement form should be filled in triplicate and the Study\/project proposal should accompany the filled agreement form. If requests are made for the micro data of more than one survey, a separate agreement should be signed.\n\n\u2022 If the data request is from a student a letter from the respective Dept. Head\/Dean\/Supervisor, recommending the issue of data, should also be accompanied.\n\n\u2022 If the request is approved only 25% of the data file is released at the first stage. The release of the total data file is considered only after reviewing the draft report prepared on the basis of the 25% sample data file.\n\n\u2022 The released Data file should be used only for the specific study\/Analysis mentioned in the agreement form and shall not be used for any other purpose without the prior approval of the Director General of the DCS. Moreover, Copies of the micro-data file, obtained from the DCS, shall not be given to anyone else without the prior written approval of the Director General of the DCS.\n\n\u2022 The draft report of the Study\/Analysis should be submitted to the DCS and the concurrence of the DG, DCS, should be obtained before publishing it. Once published, a copy of the final report should be submitted to the DCS.\n\n\n[Department : The Department of Census and Statistics]\nSource           : http:\/\/www.statistics.gov.lk\/databases\/data%20dissemination\/DataDissaPolicy_2007Oct26.pdf","disclaimer":"The Department of Census and Satatistics bears no responsibility for any results or interpretations arising from the secondary use of the data."}}},"schematype":"survey"}