DDI_LKA_1993_HIES_v01_M Department of Census and Statistics 2009-02-18 NADA Identical to DDI-LKA-DCS-HIES-1993-v1.0 downloaded from http://nada.statistics.gov.lk/index.php/catalog/32 on 2023-09-01. Edited fields: studyIDNo and DDI document IDNo. Household Income and Expenditure Survey - 1993 HIES 1993 LKA_1993_HIES_v01_M Department of Census and Statistics (c) 2009, Department of Census and Statistics NADA Department of Census and Statistics Director General Information Unit Sample Survey Division Income/Expenditure/Household Survey [hh/ies] This survey was conducted by the Department of Census and Statistics on the request made by the Department of National Planning, Ministry of Finance and Planning. This was introduced as a module to the Fourth Quarter of Sri Lanka Labour Force Survey 1993. - v1.0 : Full edited dataset, for internal DPD use. Census Unit Housing Unit Living quarters other than housing units Non-housing unit Household Head of household ECONOMICS [1] This survey provides information on household income, individual income, household expenditure, per capita expenditure etc. which are required to study the living conditions of different segments of the population. The survey report is based on the data collected in the fourth quarter of 1993 on household income and expenditure. The survey didn't cover the entire island due to disturbances prevailed in the Northern and the Eastern Provinces. Planning and execution of the survey was done by the staff of Sample Survey Division. Collection of data was done by the Statistical Investigators of the Department of Census and Statistics under the supervision of District Statisticians and Statistical Officers. Sri Lanka National Coverage - Individuals and Households Due to the conditions prevailed in the Northern and the Eastern provinces the survey was conducted in all other parts of the island. Sample survey data [ssd] The scope of HIES 1993 includes Personal Characteristics - Sex, Age, Relationship to Head of Household, Ethnicity, Religion, Level of education, Marital status, Expenditure - All household expenditure incurred by the household during the reference periods. Having considered various factors such as the pattern of usage, durability of items, the conveniences of collecting information etc., the items were classified into groups, with different recall periods. The information on daily consumption expenditure of the household members on food , drink and tobacco were recorded for one week or one month period. For some items for which weekly amounts could not be obtained, expenditure values were collected for one month periods. Different reference periods such as one month, six months, 12 months, calendar year were used when collecting information on housing, clothing, fuel and light, non-durable goods and consumer durable goods. Buying patterns of the items in each group were considered when deciding the reference periods. Income - Income received from employment (salaries, commissions, overtime, bonus etc. and all other cash receipts such as pension property rents, dividends remittances etc.) The information on income in kind provided by the employers, relations or any others, such as meals, food items, housing, clothing, medical facilities, warrants , passes etc., were also collected. Further information ion agricultural and non agricultural activities carried out by the household members as employers and/or own account workers were also collected. Total output and input were recorded separately for each such activity,. Monthly gross rental value of owner occupied house was collected on the basis of housing rents prevailing in that locality. A stratified two stage probability sample design is used with census blocks as primary sampling unit (PSU) and housing unit as secondary sampling unit (SSU) . There are three levels of stratification which increase the efficiency of the sample design. Same sample of housing units selected for the 4th quarter of Quarterly Labour Force Survey 1993 was used in this survey as well. Face-to-face [f2f] The survey schedule consists of three main sections: 1. Personal Characteristics 2. Household Expenditure 3. Income The information sought on the first page of the schedule were : the personal address, Province, District, Electorate. Divisional Secretariat Division, Grama Niladhari Division and if situated in an urban sector, the name of the MC, UC & TC and if in the Rural Sector or Estate Sector, the name of the village or estate respectively. In the control data sheet, the information on the date of visit to the household, result code, and time taken to complete the schedule were recorded separately for three consecutive visits to the household. Result code indicates whether the schedule is completed, partly completed, refused, household is changed or demolished. HIES' are conducted by the Department of Census and Statistics once in 5 years. The questionnaires used in these surveys are very detail and comprehensive in order to capture all the expenditure items irrespective of the amount. In the 1993 survey, on an experimental basis a short questionnaire was used to capture the household expenditure. Therefore the accuracy of the data collected may be slightly different from detail Income and Expenditure Surveys. Supervision of the fieldwork of these enumerators was done by the statisticians attached to the Sample Survey Division of DCS and District Secretariat Offices. Under the Census Ordinance, microdata 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 Ordinance, according to which the information at individual level cannot be divulged and such information is strictly confidential. Director General "Department of Census and Statistics, Household Income and Expenditure Survey 1993 [HIES 1993], Version 1.0 of the public use dataset (February 2009), provided by the Data Processing Division, www.statistics.gov.lk" 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: 1. The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement. 2. 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. 3. 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. 4. 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. 5. 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. 6. An electronic copy of all reports and publications based on the requested data will be sent to the Department The following rules apply to micro data released by the Department of Census and Statistics. • 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 the terms stipulated in the agreement form. • 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 of the DCS. The 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. • 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. • 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. • 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. • 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. • The draft report of the Study/Analysis should be submitted to the DCS and the concurrence of the DG of the DCS, should be obtained before publishing it. Once published, a copy of the final report should be submitted to the DCS. [Department : The Department of Census and Statistics (DCS)] Source : http://www.statistics.gov.lk/databases/data%20dissemination/DataDissaPolicy_ The Department of Census and Statistics bears no responsibility for any results or interpretations arising from the secondary use of the data. Sheet1 This file contains identification data to spot each housing unit. The interviewer had to visit the same housing unit three different days. The deatails of each visit is also included as control data. 1994 22 Sheet2 This file contains the details about the individuals who usually live in a household including those who are temporarily absent(Include boarders, lodgers, servants,etc. and exclude temporary visitors.) 9159 18 Sheet3 This file contatins data related to consumption expenditure on Food, Drink and Tobacco. 51992 15 Sheet4 This file contatins data related to expenditure on Housing, fuel, lighting, non-durable, services and durable consumer items. 42216 13 Sheet5 This file has one record for each person living in the household and stores details about their income. In two instances cost of production is recorded in order to calculate income. 3379 23 Record Type '1' 1994 1 1 1 Record Identification Character inserted as '1' for all records Year 1994 93 93 93 Year of the survey Quarter 1994 4 4 4 Quarter of the year when the survey was conducted Province 1994 1 9 4.715 3.028 Largest Local Government/geographical subdivision Sector 1994 3 1.395 0.718 Urban/Rural/Estate District 1994 1 24 12.393 8.542 District is a geographical/admin subdivision within the province Serial Number of Schedule 1994 1 267 72.89 55.452 Block Number within Stratum 1994 1 18 4.139 3.312 Housing Unit No within the Block 1994 1 10 5.492 2.868 Household Number 1994 1 4 1.043 0.234 Interviewer's Visit Day - First Date 1988 6 9310 931202 930593.313 20673.044 This is control data - Date the interviewer visited the housing unit as the first day. Interviewer's Visit Result - First result Code 1987 7 1 9 2.89 2.604 1 Completed 2 Deferred 3 Ineligible 4 No competent respondent at home 5 Refused 6 Housing Unit is temporarily closed 7 Other (specify)7 9 9 This is control data - Result codes are 1 to 9. Interviewer's Visit Time taken - First Visit 1555 439 99 31.634 19.247 This is control data - Time taken to complete the questionnaire Interviewer's Visit Day - Second Date 1360 634 9310 931201 930390.974 24994.729 This is control data - Date the interviewer visited the housing unit as the second day. Interviewer's Visit Result - Second result Code 1357 637 1 9 2.211 2.198 1 Completed 2 Deferred 3 Ineligible 4 No competent respondent at home 5 Refused 6 Housing unit is temporarily closed 7 Other 9 9 This is control data - Result codes are 1 to 9. Interviewer's Visit Time taken - Second Visit 1086 908 99 31.836 19.277 This is control data - Time taken to complete the questionnaire Interviewer's Visit Day - Third Date 568 1426 931001 931202 931076.299 41.464 This is control data - Date the interviewer visited the housing unit as the third day. Interviewer's Visit Result - Third result Code 568 1426 1 9 1.525 1.549 This is control data - Result codes are 1 to 9. Same catagoru codes as above apply. Interviewer's Visit Time taken - Third Visit 511 1483 99 33.309 17.221 This is control data - Time taken to complete the questionnaire No Housing Units Listed 1989 5 2 0.00201 0.0549 If the Housing Unit is consolidated , Number of HU's listed for this unit No Housing Units Divided 1990 4 2 0.00955 0.12 If the Housing Unit is divided , number of HU's in this unit as at present Last Result Code 1993 1 1 5 1.185 0.719 1 Completed 2 Partially completed - Usable2 3 Partially completed - Unusable 4 Not completed 5 Ineligible Final result code for the questionnaire Record Type '2' 9159 2 2 2 Year 9159 93 93 93 Quarter 9159 4 4 4 Province 9159 1 9 4.732 3.032 Sector 9159 3 1.381 0.708 District 9159 1 24 12.432 8.529 Serial Number of Schedule 9159 1 267 70.653 54.855 Block Number within Stratum 9159 1 18 4.072 3.22 Housing Unit No within the Block 9159 1 10 5.487 2.849 Household Number 9159 1 4 1.034 0.211 Person Number 9159 1 17 3.33 2.055 Persons who are usually living here including those who are temporarily absent plus boarders and servants. They are numbered as 1,2, 3 and so forth, the Head of Household being the first. Relationship to Head of Household 9159 1 9 2.79 1.35 1 Head of household 2 Wife/Husband 3 Son/Daughter 4 Mother or Father 5 Other Relative 6 Servant 7 Boarder 8 Lodger 9 Other Sex 9159 1 2 1.508 0.5 1 Male 2 Female Age 9159 99 29.151 19.659 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 11 11 12 12 13 13 14 14 15 15 16 16 17 17 18 18 19 19 20 20 21 21 22 22 23 23 24 24 25 25 26 26 27 27 28 28 29 29 30 30 31 31 32 32 33 33 34 34 35 35 36 36 37 37 38 38 39 39 40 40 41 41 42 42 43 43 44 44 45 45 46 46 47 47 48 48 49 49 50 50 51 51 52 52 53 53 54 54 55 55 56 56 57 57 58 58 59 59 60 60 61 61 62 62 63 63 64 64 65 65 66 66 67 67 68 68 69 69 70 70 71 71 72 72 73 73 74 74 75 75 76 76 77 77 78 78 79 79 80 80 81 81 82 82 83 83 84 84 85 85 86 86 87 87 88 88 89 89 90 90 91 91 92 92 98 98 99 99 Ethnic Group 9159 1 9 1.499 1.076 1 Sinhala 2 Sri Lanka Tamil 3 Indian Tamil 4 Sri Lanka Muslim 5 Malay 6 Burgher 9 Other Religion 9159 1 9 1.548 0.99 1 Buddhist 2 Hindu 3 Islam 4 RC/Other Christian 9 Other Marital Status 7697 1462 1 5 1.631 0.66 1 Never Married 2 Married 3 Widowed 4 Divorced 5 Separated Educational Attainment 8487 672 9 2.503 1.459 Non-schooled 1 Passed Gr 0-4/Yr 1-5 2 Passed Gr 5-7/Yr 6-8 3 Passed Gr 8-9/Yr 9-10 4 Passed GCE(OL)/NCG 5 Passed GCE(AL)/HNC 6 Degree 7 Post Graduate/Diploma 9 9 Record Type '3' 51992 3 3 3 Year 51992 93 93 93 Quarter 51992 4 4 4 Province 51992 1 9 4.651 3.035 Sector 51992 3 1.388 0.714 District 51992 1 24 12.209 8.558 Serial Number of Schedule 51992 1 267 72.52 55.592 Block Number within Stratum 51992 1 18 4.146 3.357 Housing Unit No within the Block 51992 1 10 5.496 2.885 Household Number 51992 1 4 1.042 0.234 Item Code 51990 2 1000 1230 1077.239 59.428 1000 Total Expenditure on Food/Drink/Tobacco 1010 Total Sereal & Sereal Preparations 1011 Serial-Rice 1012 Serial-Wheat Flour 1013 Serial-Bread 1014 Cerial-Other 1020 Total Condiments 1021 Condimnts-Dried Chillies 1022 Condimnts-Onions 1023 Condimnts-Green chillies 1024 Condimnts-Other 1030 Total Pulses 1031 Pulses-Dhal 1032 Pulses-Green Gram 1033 Pulses-Other 1040 Total Vegetable 1041 Leafy Veg: 1042 Other Veg: 1050 Yams & Fruit Veg: 1060 Coconuts 1070 Total Meats 1071 Beef 1072 Chicken 1073 Other Meats 1080 Fresh Fish 1081 Fish-Large 1082 Fish-Small 1083 Fish-Other 1090 Dry Fish 1100 Canned Fish 1110 Milk & Milk Products 1111 Milk 1112 Powdered Milk 1113 Other Milk Foods 1120 Oils & Fats 1121 Coconut Oil 1122 Fats-Butter/Margerine 1123 Other Fats 1130 Eggs 1140 Fruits 1150 Total Beverages 1151 Tea Dust 1152 Other Beverages 1160 Total Sugar and Jeggery 1161 Sugar 1162 Jeggery and Other 1170 Confectioneries and Jams 1180 Canned/Packetted Food 1190 Other Foods 1200 Food Consumed outside home 1210 Liquour 1220 Cigarette and Other 1230 Beetles/arecanut Item Code of Food, Drink and Tobacco. Each Item code carries its specific unit as accepted for this survey. Quantity(Last Week) 29431 22561 1 63000 1403.218 2765.485 Quantity consumed in last week. Value (Last Week) 51443 549 1 18900 52.781 107.283 Value of the quantity of food, Drink and Tobacco consumed last week. Quantity(Last Month) 289 51703 2 75000 2279.464 7000.092 Quantity consumed in last month. Value(Last Month) 663 51329 2 4000 109.552 267.681 Value of the quantity of food, Drink and Tobacco consumed last month. Record Type '4' 42216 4 4 4 Year 42216 93 93 93 Quarter 42216 4 4 4 Province 42216 1 9 4.661 3.026 Sector 42216 3 1.415 0.709 District 42216 1 24 12.245 8.52 Serial Number of Schedule 42216 1 267 71.833 55.082 Block Number within Stratum 42216 1 18 4.059 3.299 Housing Unit No within the Block 42216 1 10 5.468 2.895 Household Number 42216 1 4 1.037 0.221 Item Code 42205 11 2010 2113 2053.668 31.11 2010 Housing 2011 House rent 2012 Other(Tax, Maintenance) 2020 Fuel and Lighting 2021 Kerosene 2022 Firewood 2023 Electricity 2024 Other(Gas, Boxes of Matches etc) 2030 Cloths/Textiles/Footwear 2031 Shirts 2032 Sarong 2033 Ready made Cloths 2034 Materials purchased in Meters 2035 Sarees 2036 Footwear 2037 (Other sawing charges) 2040 Non-durable Articles 2041 Washing Soap 2042 Other(Detergents, Glasswear..) 2050 Durable goods 2051 Furniture 2052 Jewellery 2053 Cooking utencils 2054 Other Goods(TV, Iron, Cycle..) 2060 Household Services 2070 Recreation/Education/Entertainment 2071 Excursions/pilgrimages 2072 Books/Magazines 2073 Other(Drama, Films..) 2074 Tuition fees 2075 Text books/Stationery 2076 Other(School Fees, boarding fees..) 2080 Health expenses 2081 Private Practitioners 2082 Pharmaceutical Products 2083 Other Health expenses 2084 Personal Expenses 2090 Transport and Communication 2091 Transport fees(Bus, train..) 2092 Private Veh. Maintenance 2093 Telephone Charges 2094 Other Expenses 2100 Miscellaneous Expenses 2101 Family Wedding/ Funeral 2102 Other Social Activities and festivals 2110 Non-consumption Expenditure 2111 EPF, ETF, WNOP 2112 Income tax 2113 Other (Insur., Savings..) Value for Period1 28955 13261 1 50750 282.61 970.684 Value for Period2 13766 Record Type '5' 3379 5 5 5 Year 3379 93 93 93 Quarter 3379 4 4 4 Province 3379 1 9 4.617 3.046 Sector 3379 3 1.417 0.725 District 3379 1 24 12.09 8.566 Serial Number of Schedule 3379 1 267 72.351 55.008 Block Number within Stratum 3379 1 18 4.075 3.294 Housing Unit No within the Block 3379 1 10 5.442 2.872 Household Number 3379 1 4 1.03 0.202 Person Serial No 3379 1 13 2.124 1.671 Monthly Income from Employment 2190 1189 63 25000 2480.748 2138.498 Income from Interest/Dividends 158 3221 10 37000 2955.361 4554.199 House Rent Received 90 3289 75 15000 1566.889 2388.934 Income from Overseas 105 3274 150 25000 3962.086 3236.955 Other Income 934 2445 29 14000 912.36 1452.147 Noncash Benefits 703 2676 20 7000 442.718 660.885 Non-cash Benefits received from employment or income in kind Income from Agri Activities 627 2752 25 99999 17861.246 21570.599 Income from Agricultural activities - Output last two seasons)This is used to estimate the income per month by dividing by 12.(AGRIIN57 - AGRIOUT62)/ 12 Cost of Production of Agri Activities 554 2825 5 70000 7228.271 10349.642 Expenses for Agricultural activities - Production cost last two seasons).This is used to estimate the income per month by dividing by 12.(AGRIIN57 - AGRIOUT62)/ 12 Income from Non-agri Activities 290 3089 50 250000 7316.755 18810.801 Income from non-agricultural activities - Output last two seasons) Cost of Production of Non-agri Activities 210 3169 5 73750 6007.143 10722.936 Expenses for Non-agricultural activities - Production cost last two seasons) Estimated Monthly rent 1638 1741 10 30000 888.199 1831.976 If the owner occupies his own house, the estimated rent for his house Other Financial Sourcing 3258 121 1 9 6.103 3.54 1 Savings 2 Loans 3 Contributions 9 Other If the Expenditure exceeds Income, the way by which the financial gap is bridged.