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INDONESIAN NATIONAL SOCIAL ECONOMIC SURVEY 1999 (SUSENAS 1999) A USER’S GUIDE TO DATA FILES HELD AT THE AUSTRALIAN NATIONAL UNIVERSITY AUSTRALIAN DEMOGRAPHIC AND SOCIAL RESEARCH INSTITUTE THE AUSTRALIAN NATIONAL UNIVERISTY CANBERRA, 2010 0 A. CONTENTS A. Contents Page 1 B. About Susenas 1999 and Data Files 2 C. Letter of Agreement 4 D. Summary of Susenas 1999 Data Files 5 E. Data List 1. Household Characteristic (File name: Ssn99k_h.sav) 8 F. Data List 2. Individual Characteristics (File Name: Ssn99k_i.sav) 13 G. Data List 3. Food, Beverage and Tobacco Consumption (File name: Ssn99m_41a.sav, Ssn99m_41b.sav, AND Ssn99m_41c.sav) 19 H. Data List 4. Non‐Food expenditure (File name: Ssn99m_42.sav) 32 I. Data List 5. Average Household Expenditure (File name: Ssn99m_43.sav) 40 J. Data List 6. Income, Revenue and Non‐Consumption Expenses (File: Ssn99m_5.sav) 42 K. Data List 7. Social Safety Net: Household Characteristics (File: Ssn99ssn_h.sav) 44 L. Data List 8. Social Safety Net: Individual Characteristics (File: Ssn99ssn_i.sav) 51 M. List of Provinces and Districts/City 1999 55 N. List of Type of Occupation 60 O. Type of Business 62 P. List of Main Sources of Income 63 Q. Core Questionnaire (VSEN99.K) 64 R. Module Questionnaire (VSEN99.M) 72 S. Module Questionnaire on Social Safety Net Program (SSN99.RT) 98 1 B. ABOUT SUSENAS 1999 AND DATA FILES Indonesia Social and Economic Survey (Susenas) was a nationwide survey conducted to collect information on social and economics indices. It serves as a main source of monitoring the social and economic progress in the society. Susenas was conducted on an annual basis since 1963. Since 1992, in addition to a basic social and economic questionnaire (core), a deeper focused questionnaire was introduced separately (module). The core covers basic information of household and individual characteristics on health, death, education/literacy, employment, fertility and family planning, housing, and household expenditure. The core questionnaire is asked annually with only slight modification in subsequent years. Susenas 1999 core covers 205,747 households and is designed to be representative up to district/municipality levels. The module is intended to gather more detailed information on specific topics, especially on data that changed less frequently than yearly. There are several modules that are conducted alternately i.e. consumption module and household income, household welfare, social culture, travel and crime, and the health, nutrition, education and housing modules. In 1999, in addition to three‐year cycle of Consumption, Expenditure and Income Module, there are other modules as follows: 1. Household Consumption/Expenditure Listing (M) 2. Household Iodized Salt Listing (GY) 3. Prepared Food and Beverages Listings (LPK) 4. Social Safety Net Survey ‐ Midwife in the Village (BDD) 5. Social Safety Net Survey ‐ Puskesmas (PSK) 6. Social Safety Net ‐ Social Economic Characteristics of Household and Household Members (RT) Social Safety Net modules was designed to monitor the impact of SSN Program that was introduced in 1998 to address the negative impacts of economic crisis occurred since 1997. However, in Susenas 1999 datasets held by ANU, data on Household Iodized Salt (GY), Prepared Food and Beverages Listings (LPK), Social Safety Net Survey ‐ Midwife in the Village (BDD), and Social Safety Net Survey ‐ Puskesmas (PSK), are not available. Sampling Method The SUSENAS data is collected using a stratified multi‐stage cluster sampling with two strata (urban and rural area) for each district/municipality. Within each district/municipality, a 2‐stage cluster sampling is applied to urban areas, while rural areas sampling follows a 3‐stage cluster sampling design. Urban areas are divided into census blocks (CBs), each comprises of about 100 households. The first stage of the sampling comprises choosing a number of CBs using linear systematic 2 sampling. From each selected census blocks, sixteen households are selected for interview by using linear systematic sampling. For rural areas, the numbers of sub districts (Kecamatan) were selected from the list using the “proportional to size” (PPS) principle, so that the probability of a sub‐district being selected is proportional to its size (i.e. number of households). From each selected sub‐district, a number of census blocks were selected. Then, from each of these selected CBs sixteen households are selected for interview by using linear systematic sampling Questionnaires There are three sets of questionnaires in Susenas 1999 held by ANU: 1. Core questionnaire (form VSEN99.K) which constitutes of questions regarding basic social and economic conditions. The information gathered from this questionnaire often referred as Susenas Core. Susenas core was conducted annually with slight changes of questions (addition, deletion or modification) over the years. Data from this core component is representative up to district/city level. The sampling units in Susenas Core are household as well as individual representing household and individual characteristic, respectively. 2. Module Questionnaire on household consumption/expenditure (form VSEN99.M) which constitutes of detail questions on consumption/expenditure and income of the household (referred as Susenas Module). 3. Module Questionnaire on Social Safety Net Program (form SSN99.RT) which contains questions about social economic characteristics of household and household members related to social safety net program. 3 C. LETTER OF AGREEMENT For accessing the data, please contact: Professor Terry Hull Australian Demographic and Research Institute (ADSRI) Coombs Building (Building 9), Fellows Road The Australian National University Canberra ACT 0200 Australia Telephone: +61 2 6125 0124 Facsimile: +61 2 6125 2992 E-mail: terry.hull@anu.edu.au 4 D. SUMMARY OF SUSENAS 1999 DATA FILES File Names Ssn99k_h.sav Ssn99k_i.sav Notes: Category : Core Content : Household Characteristics No. of cases : 205,747 No of variables : 106 Questionnaire : Core questionnaire (VSEN99.K) • Block I. Identification of Place • Block II. Household Characteristics • Block VIII. Housing and Settlement • Block IX. Household Expenditure • Block X. Livestock/Poultry Raising & Land Area Characteristics Category : Core Content : Individual Characteristics No. of cases : 864,580 No of variables : 116 Questionnaire : Core questionnaire (VSEN99.K) • Block I. Identification of Place • Block II. Household Characteristics • Block IV.A. Household Members Characteristics • Block V. Individual Health and Education Characteristics • Block VI. Activity for Household Members 10 Years of Age and Above • Block VII. Fertility and Family Planning 5 Ssn99m_41a.sav Ssn99m_41b.sav Ssn99m_41c.sav Ssn99m_42.sav Category Content : Module : Food, Beverage, and Tobacco Consumption (Purchased) No. of cases : 61,473 households No of variables : 453 Questionnaire : Module questionnaire (VSEN99.M) • Block I. Identification of Place • Block II. Household Characteristics • Block IV.1. Food, Beverages, and Tobacco Consumptions (Column 4 and 5) Category : Module Content : Food, Beverage, and Tobacco Consumption (Self Production) No. of cases : 61,473 households No of variables : 453 Questionnaire : Module questionnaire (VSEN99.M) • Block II. Household Characteristics • Block IV.1. Food, Beverages, and Tobacco Consumptions (Column 6 and 7) Category : Module Content : Food, Beverage, and Tobacco Consumption (Total) No. of cases : 61,473 households No of variables : 453 Questionnaire : Module questionnaire (VSEN99.M) • Block II. Household Characteristics • Block IV.1. Food, Beverages, and Tobacco Consumptions (Column 8 and 9) Category : Module Content : Non‐Food Consumption No. of cases : 62,210 No of variables : 232 Questionnaire : Module questionnaire (VSEN99.M) • Block II. Household Characteristics • Block IV. 2. Non‐Food Expenditure 6 Ssn99m_43.sav Ssn99m_5.sav Ssn99ssn_h.sav Ssn99ssn_i.sav Category Content No. of cases No of variables Questionnaire : Module : Average of household ‘s consumption : 62,210 : 44 : Module questionnaire (VSEN99.M) • Block II. Household Characteristics • Block IV. 3. Household’s Average Expenditure Category : Module Content : Household Income No. of cases : 61,483 No of variables : 41 Questionnaire : Module questionnaire (VSEN99.M) • Block V. Income, Revenue, and Non‐ Consumption Expenditure Category : Module Content : Household Characteristics No. of cases : 204,531 No of variables : 124 Questionnaire : Social Safety Net ‐ Social Economic Characteristics of Household and Household Members (SSN99.RT) • Block I. Identification of Place • Block II. Household Characteristics • Block V. Socio Economic Condition of Household Category : Module Content : Individual Characteristics No. of cases : 738,101 No of variables : 50 Questionnaire : Social Safety Net ‐ Social Economic Characteristics of Household and Household Members (SSN99.RT) • Block I. Identification of Place • Block II. Household Characteristics • Block IV. Household Members of Education and Health Characteristics 7 E. DATA LIST 1: HOUSEHOLD CHARACTERISTICS File Name: Ssn99k_h.sav Field Digit Variable Labels Name BLOCK I. IDENTIFICATION OF PLACE (Form VSEN99.K) No 1 k1r1 2 Province 2 k1r2 2 District 3 4 5 k1r3 k1r4 k1r5 3 3 1 6 7 8 k1r9 k1r10 k1r11 5 2 1 Sub‐district Village/Political district Village/political district classification (urban vs. rural) Sample code number Serial number of sample household Village classification BLOCK II. HOUSEHOLD CHARACTERISTICS (Form VSEN99.K) 9 k2r2 2 Number of household members 10 k2r3 2 Number of children aged 0 ‐ 4 years old 11 k2r4 2 Number of household member who are still in school 12 k2r5 1 Number of household members were passed away 13 k2r6 1 Is this household have a holly book? BLOCK VIII. HOUSING AND SETTLEMENT (Form VSEN99.K) 14 k8r1 1 Ownership status of the house Value Labels Notes: Look at the list of Province and District/City 1999 Notes: Look at the list of Province and District/City 1999 None None 1 'Urban' 2 ' Rural' None None 1 'Less developed village' 2 'Non Less Developed village' None None None None 1 'Yes' 2 'No' 1 'Privately owned' 2 'Leased' 3 'Rented' 4 'Rent/lease free' 5 'Provided by government/company' 6 'Own by parents/relatives' 7 'Other'/ 15 k8r2 1 Material used for largest section of the roof 1 'Concrete' 2 'Roof tile' 3 'Shingle roof' 4 'Iron sheeting' 5 'Asbestos' 6 'Palm fiber' 7 'Others' 16 17 k8r3 k8r4 1 1 Material used for largest section of the wall Material used for largest section of the floor 1 'Brick' 2 'Wood' 3 'Bamboo' 4 'Others' 18 19 k8r5 k8r6a 3 1 Floor Area (m2) Source of drinking water None 20 k8r6b 1 1 '<= 10 m' 2 '> 10 m' 3 'Don’t know' 21 k8r7 1 If b8r6a = 3 to 7 (pump/well/spring) nearest distance to the septic tank How to obtain the drinking water 22 23 24 k8r8 k8r9a k8r9b 1 1 1 The use of drinking water facilities The use of the toilet facility Type of toilet facility 1 'Private' 2 'Shared' 3 'Public' 4 'None' 1 'Other than land' 2 'Land' 1 'Bottled water' 2 'Tap water' 3 'Pump' 4 'Protected well' 5 'Unprotected well' 6 'Protected spring' 7 'Unprotected spring' 8 'River' 9 'Rain water' 0 'Others' 1 'Subscribed' 2 'Purchased' 3 'Not purchased' 1 'Private' 2 'Shared' 3 'Public' 4 'None' 1 'Water Sealed Latrine' 2 Traditional flush Toilet' 3 'Pit Latrine' 4 'None' 8 No Field Name Digit Variable Labels Value Labels 25 k8r9c 1 Final disposal for grey water 1 'Septic tank' 2 'Pond/paddy field' 3 'River/lake/sea' 4 'Pit' 5 'Beach/open field/yard' 6 'Others' 26 k8r10 1 Source of light 1 'PLN (govt own service)' 2 'Non‐PLN' 3 'Petromax/Pump lantern' 4 'Taper/oil lamp/torch' 5 'Others' BLOCK IX. AVERAGE MONTHLY HOUSEHOLD EXPENDITURE AND MAIN SOURCE OF INCOME (Form VSEN99.K) 27 k9r1 8 Food expenditure during previous week during None previous week ‐ cereal 28 k9r2 8 Food expenditure during previous week ‐ tubers None 29 30 k9r3 k9r4 8 8 Food expenditure during previous week ‐ fish Food expenditure during previous week ‐ meat None None 31 k9r5 8 None 32 k9r6 8 33 k9r7 8 Food expenditure during previous week ‐ egg and milk Food expenditure during previous week ‐ vegetables Food expenditure during previous week ‐ legumes 34 k9r8 8 Food expenditure during previous week ‐ fruits None 35 k9r9 8 None 36 k9r10 8 37 k9r11 8 Food expenditure during previous week ‐ oil and fat Food expenditure during previous week ‐ beverage Food expenditure during previous week ‐ spices 38 k9r12 8 None 39 k9r13 8 40 k9r14 8 Food expenditure during previous week ‐ other consumption Food expenditure during previous week ‐ processed food and drink Food expenditure during previous week ‐ liquor 41 k9r15 8 None 42 k9r16 8 43 k9r17a 9 44 k9r17b 9 45 k9r18a 9 46 k9r18b 9 47 k9r19a 9 48 k9r19b 9 Food expenditure during previous week ‐ tobacco and betel nut Food expenditure during previous week ‐ total food Non‐Food expenditure during previous month ‐ Hosing and housing facilities Non‐Food expenditure during last 12 months ‐ Housing and housing facilities Non‐Food expenditure during previous month ‐ Miscellaneous goods and services Non‐Food expenditure during last 12 months ‐ Miscellaneous goods and services Non‐Food expenditure during previous month ‐ Education expenditure Non‐Food expenditure during last 12 months ‐ Education expenditure None None None None None None None None None None None None None 9 No Field Name 49 Digit Variable Labels k9r20a 9 50 k9r20b 9 51 k9r21a 9 52 k9r21b 9 53 k9r22a 9 54 k9r22b 9 55 k9r23a 9 56 k9r23b 9 57 k9r24a 9 58 k9r24b 9 59 k9r25a 10 60 k9r25b 10 61 62 63 64 k9r26 k9r27 k9r28 k9r29 10 10 10 2 Non‐Food expenditure during previous month ‐ Health expenditure Non‐Food expenditure during last 12 months ‐ Health expenditure Non‐Food expenditure during previous month ‐ Clothing, shoes, and hat Non‐Food expenditure during last 12 months ‐ Clothing, shoes, and hat Non‐Food expenditure during previous month ‐ Durable goods Non‐Food expenditure during last 12 months ‐ Durable goods Non‐Food expenditure during previous month ‐ Tax and Insurance Non‐Food expenditure during last 12 months ‐ Tax and Insurance Non‐Food expenditure during previous month‐ Festivities and ceremony Non‐Food expenditure during last 12 months ‐ Festivities and ceremony Non‐Food expenditure during previous month ‐ Total non food Non‐Food expenditure during last 12 months ‐ Total non food Average monthly of food expenditure Average monthly of Non food expenditure Average of monthly household expenditure This household celebrate Respondent may select more than one option 65 k9r30a 6 Value Labels None None None None None None None None None None None None None None None 1 'Idul Fitri (moslem)' 2 'Christmas/Easter' 3 'New Year' 8 'Waisak (Buddhist)' 16 'Nyepi (Hindu)' None Average expenditure of daily household food consumption ‐ during previous month 66 k9r30b 6 Average expenditure of daily household food None consumption ‐ during last 12 months BLOCK X. LIVESTOCK/POULTRY RAISING & LAND AREA CHARACTERISTICS (Form VSEN99.K) 1 'Yes' 2 'No' 67 k10r1 1 Does this household raise livestock? 68 k10r2a2 2 Type and number of poultry/livestock raised 1 'Dairy cow' 2 'Cow' 3 'Buffalo' 4 'Horse' 5 'Goat' 6 'Sheep' 7 'Pig' 8 'Domestic chicken' 9 'Layer chicken' 10 'Broiler chicken' 11 'Duck' 69 k10r2a3 3 Quantity of male poultry/livestock raised None 70 k10r2a4 3 Quantity of female poultry/livestock raised None 71 k10r2a5 4 Quantity of total poultry/livestock raised None 10 No Field Name Digit 72 k10r2b2 2 Type and number of poultry/livestock raised 73 74 75 76 k10r2b3 k10r2b4 k10r2b5 k10r2c2 3 3 4 2 Quantity of male poultry/livestock raised Quantity of female poultry/livestock raised Quantity of total poultry/livestock raised Type and number of poultry/livestock raised 77 78 79 80 k10r2c3 k10r2c4 k10r2c5 k10r2d2 3 3 4 2 Quantity of male poultry/livestock raised Quantity of female poultry/livestock raised Quantity of total poultry/livestock raised Type and number of poultry/livestock raised 81 82 83 84 85 k10r2d3 k10r2d4 k10r2d5 k10r3 k10r4a2 3 3 4 1 5 Quantity of male poultry/livestock raised Quantity of female poultry/livestock raised Quantity of total poultry/livestock raised Does this household owned land? Land area for rice field (ha) during the remunerating time ‐ if the household possessed (bought, inheritance, grant, etc) the land 86 k10r4a3 5 None 87 k10r4a4 5 Dry land area (ha) during previous year ‐ if the household possessed (bought, inheritance, grant, etc) the land Land area for rice field (ha) during the remunerating time ‐ if the household possessed (bought, inheritance, grant, etc) the land 88 k10r4a5 5 None 89 k10r4b2 5 90 k10r4b3 5 Dry land area (ha) during the previous year ‐ if the household possessed (bought, inheritance, grant, etc) the land Land area for rice field (ha) during the remunerating time ‐ if the household got the land from other party Dry land area (ha) during the previous year ‐ if the household got the land from other party 91 k10r4b4 5 Land area for rice field (ha) during the remunerating time ‐ if the household got the land from other party None Variable Labels Value Labels 1 'Dairy cow' 2 'Cow' 3 'Buffalo' 4 'Horse' 5 'Goat' 6 'Sheep' 7 'Pig' 8 'Domestic chicken' 9 'Layer chicken' 10 'Broiler chicken' 11 'Duck' None None None 1 'Dairy cow' 2 'Cow' 3 'Buffalo' 4 'Horse' 5 'Goat' 6 'Sheep' 7 'Pig' 8 'Domestic chicken' 9 'Layer chicken' 10 'Broiler chicken' 11 'Duck' None None None 1 'Dairy cow' 2 'Cow' 3 'Buffalo' 4 'Horse' 5 'Goat' 6 'Sheep' 7 'Pig' 8 'Domestic chicken' 9 'Layer chicken' 10 'Broiler chicken' 11 'Duck' None None None 1 'Yes' 2 'No' None None None None 11 No Field Name Digit Variable Labels 92 k10r4b5 5 Dry land area (ha) during the previous year ‐ if the household got the land from other party None 93 k10r4c2 5 None 94 k10r4c3 5 95 k10r4c4 5 96 k10r4c5 5 97 k10r4d2 5 Land area for rice field (ha) during the remunerating time ‐ if the land belongs to other party Dry land area (ha) during the previous year ‐ if the land belongs to other party Land area for rice field (ha) during the remunerating time ‐ if the land belongs to other party Dry land area (ha) during the previous year ‐ if the land belongs to other party Total land area for rice field (ha) during the remunerating time (k10r4a2+k10r4b2+k10r4c2) 98 k10r4d3 5 None 99 k10r4d4 5 Total dry land area (ha) during the previous year (k10r4a3+k10r4b3+k10r4c3) Total land area for rice field (ha) during the remunerating time (k10r4a4+k10r4b4+k10r4c4) 100 k10r4d5 5 None 101 k10r4e2 5 102 k10r4e3 5 103 k10r4e4 5 104 k10r4e5 5 105 106 k11 wert99 3 4 Total dry land area (ha) during the previous year (k10r4a5+k10r4b5+k10r4c5) Land area for rice field (ha) during the remunerating time ‐ for farming land status Dry land area (ha) during the previous year ‐ for farming land status Land area for rice field (ha) during the remunerating time ‐ for farming land status Dry land area (ha) during the previous year ‐ for farming land status Main source of household income Household weight Value Labels None None None None None None None None None Notes: look at In a separated list None 12 F. DATA LIST 2: INDIVIDUAL CHARACTERISTICS (File Name: Ssn99k_i.sav ) Field Digit Variable Labels Name BLOCK I. IDENTIFICATION OF PLACE (Form VSEN99.K) 1 k1r1 2 Province No 2 k1r2 2 3 4 5 k1r3 k1r4 k1r5 3 3 1 District Sub‐district Village/Political district Village/political district classification (urban vs rural) 6 k1r9 5 Sample code number 7 k1r10 2 Serial number of sample household BLOCK II. HOUSEHOLD CHARACTERISTICS (Form VSEN99.K) 8 k2r2 2 Number of household members 9 k2r3 2 Number of children aged 0 ‐ 4 years old 10 k2r4 2 Number of household member who are still in school 11 k2r5 1 Number of household members were passed away 12 k2r6 1 Does this household have a holly book? BLOCK IV. HOUSEHOLD MEMBERS CHARACTERISTICS (Form VSEN99.K) 13 k4k1 2 ID number of household members 14 k4k3 1 Relationship to head of household 15 16 17 k4k4 k4k5 k4k6 1 2 1 sex age (years) marital status 18 k4k7 1 If k4r6 coded 2 or 3, where is it recorded? 19 k4k8 2 20 k4k9 1 How many hours did you read holy book/ religion article in the last week? School participation Value Labels Notes: Look at the list of Province and District/City 1999 Notes: Look at the list of Province and District/City 1999 None None 1 "Urban" 2 " Rural" None None None None None None 1 "Yes" 2 "No" None 1 'The head of the household' 2 'Wife/Husband' 3 'Children' '4' 'Son/daughter in‐law' 5 'Grandchildren' 6 'Parent/Parent in‐law' 7 'Other Relatives' 8 'Housemaid' 9 'Others' 1 "Male" 2 "Female" None 1 'Single' 2 'Married' 3 'Divorced' 4 'Widowed' 1 'KUA (religion office)' 2 'Civil registration office' 3 'State court office' 4 'Other' None 1 'In school' 2 'Drop out' BLOCK V. INDIVIDUAL HEALTH AND EDUCATION CHARACTERISTICS (Form VSEN99.K) 21 k500 2 ID number of household members None 22 m500i 2 ID number of biological mother None 23 24 k5r1a k5r1b 1 1 Health complaints in last month – fever Health complaints in last month – cough 1 'Yes' 0 'No' 1 'Yes' 0 'No' 13 25 26 27 Field Name k5r1c k5r1d k5r1e 28 29 30 31 k5r1f k5r1g k5r1h k5r1i 1 1 1 1 32 33 k5r1j k5r1k 1 1 34 35 k5r1l k5r1m 1 1 36 37 38 39 k5r1n k5r1o k5r1p k5r2 1 1 1 1 40 k5r3 2 41 k5r4 1 42 k5r5a 1 43 44 k5r5b k5r5c 2 1 45 k5r5d 2 If used modern medicine, where was it purchased? 46 47 k5r6a k5r6b1 1 1 48 k5r6b2 1 49 k5r6b3 1 50 k5r6b4 1 51 k5r6b5 1 52 k5r6b6 1 Were you an outpatient in the last month? Number of times treated as outpatient in last month ‐ state hospital Number of times treated as out patient in last month ‐ private hospital Number of times treated as outpatient in last month ‐ medical practitioner Number of times treated as outpatient in last month ‐ health center Number of times treated as outpatient in last month ‐ supporting health center Number of times treated as outpatient in last month ‐ polyclinic No Digit 1 1 1 Variable Labels Health complaints in last month ‐ flu/cold Health complaints in last month – asthma Health complaints in last month ‐ breathing difficulty Health complaints in last month – diarrhoea Health complaints in last month – measles Health complaints in last month ‐ ear discharge Health complaints in last month ‐ jaundice/liver problems Health complaints in last month – headache Health complaints in last month ‐ convulsions/epilepsy Health complaints in last month – paralysis Health complaints in last month ‐ dementia/senility Health complaints in last month – accident Health complaints in last month – toothache Health complaints in last month – other If had health complaints in last month, did they disrupt work/school/daily activities? Days work/school/daily activities disrupted by health complaints in last month Whether currently still disrupted by health complaints If had health complaints in last month, did you ever have self‐treatment in the last month? Duration of self‐treatment (days) Type of medicine used to treat the health complaints Value Labels 1 'Yes' 0 'No' 1 'Yes' 0 'No' 1 'Yes' 0 'No' 1 'Yes' 0 'No' 1 'Yes' 0 'No' 1 'Yes' 0 'No' 1 'Yes' 0 'No' 1 'Yes' 0 'No' 1 'Yes' 0 'No' 1 'Yes' 0 'No' 1 'Yes' 0 'No' 1 'Yes' 0 'No' 1 'Yes' 0 'No' 1 'Yes' 0 'No' 1 'Yes' 2 'No' None 1 'Yes' 2 'No' 1 'Yes' 2 'No' None 1 'Modern medicine' 2 'Traditional medicine' 4 'Others' 1 'Pharmacy' 2 'Drug store' 4 'Village Medicine Post' 8 'Vendor' 16 'Remote vendor' 32 'Other' 1 'Yes' 2 'No' None None None None None None 14 53 Field Name k5r6b7 54 k5r6b8 1 55 k5r6b9 1 56 k5r6b10 1 57 k5r6c 2 58 59 60 k5r7a k5r7b k5r8a 2 2 1 Age of the children (in months) If Age =00 year, age (in days) Who was the first person to assist with birth of the child 61 k5r8b 1 Who was the last person to assist with birth of the 1 'Medical doctor' child 2 'Midwife' 3 'Other paramedics' 4 'Traditional birth attendance' 5 'Relatives' 6 Other' 62 k5r9a 1 63 k5r9b 1 64 k5r9c 1 65 k5r9d 1 66 k5r10 1 How many times the children have BCG immunization? How many times the children have DPT immunization? How many times the children have Polio immunization? How many times the children have measles/ morbili immunization? Do you have KMS/Immunization Card? 67 k5r11a 1 68 k5r11b 1 No Digit 1 Variable Labels Number of times treated as outpatient in last month ‐ paramedic practice Number of times treated as outpatient in last month ‐ traditional healer Number of times treated as outpatient in last month ‐ village maternity post (Polindes) Number of times treated as outpatient in last month ‐ integrated health center Where did you go for an outpatient at first time? Copy the frequency of BCG immunization based on KMS/Immunization data Copy the frequency of DPT immunization based on KMS/Immunization data Value Labels None None None None 1 'Hospital' 2 'Private hospital' 3 'Medical practitioner practice' 4 'Health center' 5 'Supporting health center' 6 'Polyclinic' 7 'Paramedics' 8 'Traditional healer' 9 'Village Maternity Post (Polindes)' 10 ‘Integrated service post (Posyandu)’ None None 1 'Medical doctor' 2 'Midwife' 3 'Other paramedics' 4 'Traditional birth attendance' 5 'Relatives' 6 Other' None None None None 1 'Yes, at home' 2 'Yes, in another place' 3 'Does not have' None None 15 69 Field Name k5r11c 70 k5r11d 1 71 72 73 74 k5r12 k5r13a k5r13b k5r13c 1 2 2 2 75 k5r13d 1 76 77 78 k5r13a1 k5r13b1 k5r13c1 2 2 2 79 k5r13d1 1 80 k5r14 1 81 82 k5r15a k5r15b 2 2 83 k5r16a 2 No Digit Variable Labels 1 Copy the frequency of Polio immunization based on KMS/Immunization data Copy the frequency of measles/ morbili immunization based on KMS/Immunization data Whether child has ever been breast fed Duration of breastfed (months) Duration of breastfed only (months) Duration of breastfed with food/drink supplement (months) Within 24 the last hours, what food the child was given? Value Labels None None 1 'Yes' 2 'No' None None None 1 'Just breast feeding' 2 'Breast feeding + food/drink supplement' 3 'No breast feeding (only food and drinks)' Duration of breastfed (days) None Duration of breastfed only (days)' None Duration of breastfed with food/drink supplement None (days) Within 24 the last hours, what food the child was 1 'Just breast feeding' given? (days) 2 'Breast feeding + food/drink supplement' 3 'No breast feeding (only food and drinks)' School participation 1 'Never/have not attended school' 2 'Currently attending school' 3 'Not attending school anymore' Month left school None Year left school None Notes 0= before 1987 Highest level/type of education ever attended 1 'Primary school' 2 'Islamic primary school (Madrasah Ibtidaiyah)' 3 'Package A group' 4 'Junior secondary school / Vocational' 5 'Islamic junior school (Madrasah Tsanawiyah)' 6 'Package B group' 7 'Senior secondary school' 8 'Islamic senior secondary school (Madrasah Aliyah)' 9 'Vocational secondary school' 10 'Diploma I/II' 11 'Diploma III/bachelor' 12 'Diploma IV/graduate' 13 'Master' 14 'Ph.D.' 16 84 Field Name k5r16b 85 No Digit Variable Labels Value Labels 1 Education provider k5r17 1 Highest school grade attended 86 k5r18 1 Highest level of education completed 1 'Not completed primary school' 2 'Primary school/MI' 3 'Junior high school/MTs/Junior Vocational/equal' 4 'Senior high school/MA/equal' 5 'Vocational high school' 6 'Diploma I/II' 7 'Diploma III/bachelor' 8 'Diploma IV/graduate' 9 'Master/ Ph.D.' 87 k5r19 1 Can you read or write? 1 'Can read/write using Latin script' 2 'Can read/write using other scripts' 3 'Can not read/write' BLOCK VI. ACTIVITY OF HOUSEHOLD MEMBERS AGED 10 YEARS AND ABOVE 88 k6r20a1 1 Did you do any of these activities in the last one week? ‐ work 89 k6r20a2 1 Did you do any of these activities in the last one week? ‐ attending school 90 k6r20a3 1 Did you do any of these activities in the last one week? ‐ house keeping 91 k6r20a4 1 Did you do any of these activities in the last one week? ‐ other activities 92 k6r20b 1 Of your activities in the last one week, which one consumed most of your time? 93 k6r21 1 94 k6r22 1 95 96 k6r23a k6r23b 1 2 If k5r20a1 =0 did you work for living at least 1 hour during previous week? Do you have a permanent job, but were temporarily not working in the last one week? Total days worked Total hours worked in the previous week 1 'Public' 2 'Private' 3 'Foreign' 1 'Grade 1' 2 'Grade 2' 3 'Grade 3' 4 'Grade 4' 5 'Grade 5' 6 'Grade 6' 7 'Grade 7' 8 'Grade 8 (completed)' 1 'Yes' 0 'No' 1 'Yes' 0 'No' 1 'Yes' 0 'No' 1 'Yes' 0 'No' 1 'Working for living/helping for living' 2 'Attending school' 3 'House keeper' 4 'Others' 1 'Yes' 2 'No' 1 'Yes' 2 'No' None None 17 97 Field Name k6r24 98 k6r25 2 99 k6r26 100 No Digit 2 Variable Labels Value Labels Type of main business/position during previous week Main occupation /work place/office/company of main work during previous week Notes: Look at the list of type of business Notes: Look at the list of type of occupation 1 Status/position (main business/job during previous week) 1 'Self‐employed' 2 'Self‐employed, assisted by temporary or unpaid workers' 3 'Self‐employed, assisted by permanent paid workers' 4 'Paid employee/worker' 5 'Unpaid worker' k6r27a 8 None 101 k6r27b 8 102 103 104 k6r28 k6r29 k6r30 1 1 1 105 k6r31 1 Net wage/salary in terms of cash usually received in a month from your main job Net wage/salary in terms of goods usually received in a month from your main job Are you looking for job? Have you ever worked sine July 1997? Did you ever quit of work/moved to other work since July 1997? Main reason of quitting/moving from the last job BLOCK VII. FERTILITY AND FAMILY PLANNING 106 k7r32 2 Age at first marriage (years) 107 k7r33 2 Total number of years in marriage 108 k7r34a 2 Total number of children born alive 109 k7r34b 2 Total number of living children 110 k7r34c 2 Total number of children who have died 111 k7r35 1 Have you ever used contraception 112 k7r36 1 Are you currently using a contraceptive 113 k7r37 1 Type of contraceptive currently used None 1 'Yes' 2 'No' 1 'Yes' 2 'No' 1 'Yes' 2 'No' 1 'Get fired' 2 'Business stuck' 3 'House keeper' 4 'The work not suitable' 5 'Unsatisfied with the income' 6 'Uncomfortable with the work environment' 7 'Other' None None None None None 1 'Yes' 2 'No' 1 'Yes' 2 'No' 1 'Tubectomy' 2 'Vasectomy' 3 'IUD' 4 'Injectable' 5 'Implant' 6 'Pill' 7 'Condom' 8 'Intravaginal/tissue/female condom' 9 'Traditional method' 18 114 Field Name k7r38 115 116 weind99 wert99 No Digit Variable Labels Value Labels 1 If k7r36=2, reason not using a contraceptive 1 'Expensive' 2 'Contraceptive unavailable' 3 'Not comfortable' 4 'Afraid with side effect' 5 'Husband disagree' 6 'Other' 6 6 individual weight 1999 household weight 1999 None None 19 G. DATA LIST 3: FOOD, BEVERAGE AND TOBACCO CONSUMPTION (File name: Ssn99m_41a.sav, Ssn99m_41b.sav, and Ssn99m_41c.sav) No Field Name From From Self Total Purchase Production Consumption Ssnm_41a.sav Ssnm_41b.sav Ssnm_41c.sav (Block IV.1 (Block IV.1 (Block IV.1 Column 4 &5) Column 6&7) Column 8&9) Digit Variable Labels Value BLOCK I. IDENTIFICATION OF PLACE (VSEN99.M) 1 b1r1 b1r1 b1r1 2 Province 2 b1r2 b1r2a b1r2 4 District/City 3 4 5 6 7 8 b1r3 b1r4 b1r5 b1r9 b1r10 b1r11 b1r3 b1r4 b1r5 b1r9 b1r10 b1r11 3 3 1 5 2 1 b2r2 wert b2r2 wert 2 Total numbers of household members 5 household weight 1999 b1r3 b1r4 b1r5 b1r9 b1r10 b1r11 9 b2r2 10 wert Sub District Village/Kelurahan Type of region Sample code number Serial Number of Sampled Household Village classification Notes: Please look at the List of Provinces/Distri ct 1999 Notes: Please look at the List of Provinces/Distri ct 1999 None None 1 Urban 2 Rural None None 1 Less‐ developed Village 2 Non‐ Less‐developed village None None BLOCK IV.1. CONSUMPTION OF FOOD, BEVERAGES AND TOBACCO (VSEN99.M) 11 b41k4.2 b41k6.2 b41k8.2 12 b41k4.3 13 b41k4.4 14 b41k4.5 b41k6.3 b41k6.4 b41k6.5 b41k8.3 b41k8.4 b41k8.5 15 16 17 18 19 20 21 22 23 24 25 26 b41k6.6 b41k6.7 b41k6.8 b41k6.9 b41k6.11 b41k6.12 b41k6.13 b41k6.14 b41k6.15 b41k6.16 b41k6.17 b41k6.18 b41k8.6 b41k8.7 b41k8.8 b41k8.9 b41k8.11 b41k8.12 b41k8.13 b41k8.14 b41k8.15 b41k8.16 b41k8.17 b41k8.18 b41k4.6 b41k4.7 b41k4.8 b41k4.9 b41k4.11 b41k4.12 b41k4.13 b41k4.14 b41k4.15 b41k4.16 b41k4.17 b41k4.18 5 Rice (local, best quality, imported) ‐ from purchase ‐ Kg 5 Sticky(glutinous) rice ‐ from purchase ‐ Kg 5 Fresh corn with husk ‐ from purchase ‐ Kg 5 Loosen corn – remove from the cob ‐ from purchase ‐ Kg 5 Rice flour ‐ from purchase ‐ Kg 5 Corn flour ‐ from purchase ‐ Kg 5 Wheat flour ‐ from purchase ‐ Kg 5 Other type of grain ‐ from purchase ‐ Kg 5 Cassava ‐ from purchase ‐ Kg 5 Sweet potato ‐ from purchase ‐ Kg 5 Arrowroot ‐ from purchase ‐ Kg 5 Taro ‐ from purchase ‐ Kg 5 Potatoes ‐ from purchase ‐ Kg 5 Dried cassava ‐ from purchase ‐ Kg 5 Dried cassava flour ‐ from purchase ‐ Kg 5 Tapioca/cassava flour ‐ from purchase ‐ Kg None None None None None None None None None None None None None None None None 20 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 From Purchase Ssnm_41a.sav (Block IV.1 Column 4 &5) b41k4.19 b41k4.21 b41k4.22 b41k4.23 b41k4.24 b41k4.25 b41k4.26 b41k4.27 b41k4.28 b41k4.29 b41k4.30 b41k4.31 b41k4.32 b41k4.33 b41k4.34 b41k4.35 b41k4.36 b41k4.37 b41k4.38 b41k4.39 b41k4.40 b41k4.41 b41k4.42 Field Name From Self Production Ssnm_41b.sav (Block IV.1 Column 6&7) b41k6.19 b41k6.21 b41k6.22 b41k6.23 b41k6.24 b41k6.25 b41k6.26 b41k6.27 b41k6.28 b41k6.29 b41k6.30 b41k6.31 b41k6.32 b41k6.33 b41k6.34 b41k6.35 b41k6.36 b41k6.37 b41k6.38 b41k6.39 b41k6.40 b41k6.41 b41k6.42 Total Consumption Ssnm_41c.sav (Block IV.1 Column 8&9) b41k8.19 b41k8.21 b41k8.22 b41k8.23 b41k8.24 b41k8.25 b41k8.26 b41k8.27 b41k8.28 b41k8.29 b41k8.30 b41k8.31 b41k8.32 b41k8.33 b41k8.34 b41k8.35 b41k8.36 b41k8.37 b41k8.38 b41k8.39 b41k8.40 b41k8.41 b41k8.42 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 b41k4.43 b41k4.44 b41k4.45 b41k4.46 b41k4.47 b41k4.48 b41k4.49 b41k4.50 b41k4.51 b41k4.52 b41k4.54 b41k4.55 b41k4.56 b41k4.57 b41k4.58 b41k4.59 b41k4.60 b41k6.43 b41k6.44 b41k6.45 b41k6.46 b41k6.47 b41k6.48 b41k6.49 b41k6.50 b41k6.51 b41k6.52 b41k6.54 b41k6.55 b41k6.56 b41k6.57 b41k6.58 b41k6.59 b41k6.60 b41k8.43 b41k8.44 b41k8.45 b41k8.46 b41k8.47 b41k8.48 b41k8.49 b41k8.50 b41k8.51 b41k8.52 b41k8.54 b41k8.55 b41k8.56 b41k8.57 b41k8.58 b41k8.59 b41k8.60 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 67 b41k4.61 68 b41k4.62 69 b41k4.63 b41k6.61 b41k6.62 b41k6.63 b41k8.61 b41k8.62 b41k8.63 5 5 5 No Digit 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 Variable Labels Others, please mention ‐ from purchase ‐ Kg Yellow tail/Fusiliers ‐ from purchase ‐ Kg Bonito/tuna/skipjack tuna ‐ from purchase ‐ Kg Mackerel ‐ from purchase ‐ Kg Trevally ‐ from purchase ‐ Kg Indian Mackerel ‐ from purchase ‐ Kg Anchovy ‐ from purchase ‐ Kg Milk Fish ‐ from purchase ‐ Kg Snake head ‐ from purchase ‐ Kg Mozambique Tilapia ‐ from purchase ‐ Kg Common Carp ‐ from purchase ‐ Kg Catfish ‐ from purchase ‐ Kg Barramundi ‐ from purchase ‐ Kg Baronang ‐ from purchase ‐ Kg Others ‐ from purchase ‐ Kg Shrimp ‐ from purchase ‐ Kg Squid ‐ from purchase ‐ Kg Crab ‐ from purchase ‐ Kg Mussel ‐ from purchase ‐ Kg Others, please mention ‐ from purchase ‐ Kg Trevally ‐ from purchase ‐ Ons Mackerel ‐ from purchase ‐ Ons frigate mackerel/tuna/skipjack tuna ‐ from purchase ‐ Ons Anchovy ‐ from purchase ‐ Ons Yellow stripe trevally ‐ from purchase ‐ Ons Three spot gourami ‐ from purchase ‐ Ons Milk fish ‐ from purchase ‐ Ons Snakehead murrel ‐ from purchase ‐ Ons Canned fish ‐ from purchase ‐ Ons Others (please mention) ‐ from purchase ‐ Ons Dried shrimp ‐ from purchase ‐ Ons Dried squid ‐ from purchase ‐ Ons Others (please mention) ‐ from purchase ‐ Ons Beef ‐ from purchase ‐ Kg Buffalo meat ‐ from purchase ‐ Kg Lamb ‐ from purchase ‐ Kg Pork ‐ from purchase ‐ Kg Broiler ‐ from purchase ‐ Kg Domestic chicken ‐ from purchase ‐ Kg Other poultry, please mention ‐ from purchase ‐ Kg Other meat (please mention) ‐ from purchase ‐ Kg Beef Jerky ‐ from purchase ‐ Kg Beef Floss ‐ from purchase ‐ Ons Value None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None 21 70 71 72 73 From Purchase Ssnm_41a.sav (Block IV.1 Column 4 &5) b41k4.64 b41k4.65 b41k4.66 b41k4.67 Field Name From Self Production Ssnm_41b.sav (Block IV.1 Column 6&7) b41k6.64 b41k6.65 b41k6.66 b41k6.67 Total Consumption Ssnm_41c.sav (Block IV.1 Column 8&9) b41k8.64 b41k8.65 b41k8.66 b41k8.67 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 b41k4.68 b41k4.69 b41k4.70 b41k4.72 b41k4.73 b41k4.74 b41k4.75 b41k4.76 b41k4.77 b41k4.78 b41k4.79 b41k4.80 b41k4.81 b41k4.82 b41k4.83 b41k4.84 b41k6.68 b41k6.69 b41k6.70 b41k6.72 b41k6.73 b41k6.74 b41k6.75 b41k6.76 b41k6.77 b41k6.78 b41k6.79 b41k6.80 b41k6.81 b41k6.82 b41k6.83 b41k6.84 b41k8.68 b41k8.69 b41k8.70 b41k8.72 b41k8.73 b41k8.74 b41k8.75 b41k8.76 b41k8.77 b41k8.78 b41k8.79 b41k8.80 b41k8.81 b41k8.82 b41k8.83 b41k8.84 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 b41k4.86 b41k4.87 b41k4.88 b41k4.89 b41k4.90 b41k4.91 b41k4.92 b41k4.93 b41k4.94 b41k4.95 b41k4.96 b41k4.97 b41k4.98 b41k4.99 b41k4.100 b41k4.101 b41k4.102 b41k6.86 b41k6.87 b41k6.88 b41k6.89 b41k6.90 b41k6.91 b41k6.92 b41k6.93 b41k6.94 b41k6.95 b41k6.96 b41k6.97 b41k6.98 b41k6.99 b41k6.100 b41k6.101 b41k6.102 b41k8.86 b41k8.87 b41k8.88 b41k8.89 b41k8.90 b41k8.91 b41k8.92 b41k8.93 b41k8.94 b41k8.95 b41k8.96 b41k8.97 b41k8.98 b41k8.99 b41k8.100 b41k8.101 b41k8.102 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 107 108 109 110 111 b41k4.103 b41k4.104 b41k4.105 b41k4.106 b41k4.107 b41k6.103 b41k6.104 b41k6.105 b41k6.106 b41k6.107 b41k8.103 b41k8.104 b41k8.105 b41k8.106 b41k8.107 5 5 5 5 5 No Digit 5 5 5 5 Variable Labels Corned beef ‐ from purchase ‐ Kg Others (please mention) ‐ from purchase ‐ Kg Liver ‐ from purchase ‐ Kg Offal (internal organs other than liver) ‐ from purchase ‐ Kg Trimmed Fat meat (tetelan) ‐ from purchase ‐ Kg Bones ‐ from purchase ‐ Kg Others (please mention) ‐ from purchase ‐ Kg Layer’s egg ‐ from purchase ‐ Kg Domestic chicken egg ‐ from purchase ‐ number Duck egg ‐ from purchase ‐ number Bird egg ‐ from purchase ‐ number Other egg ‐ from purchase ‐ number Salted duck egg ‐ from purchase ‐ number Fresh Milk ‐ from purchase ‐ Litre Pasteurized milk ‐ from purchase ‐ 250ml*) Condensed milk ‐ from purchase ‐ 397gr**) Powdered Milk ‐ from purchase ‐ Kg Powdered milk for baby ‐ from purchase ‐ 400gr*) Cheese ‐ from purchase ‐ Ons Other dairy product (please mention) ‐ from purchase ‐ Ons Spinach ‐ from purchase ‐ Kg Kangkong/water spinach ‐ from purchase ‐ Kg Cauliflower/Cabbage ‐ from purchase ‐ Kg China cabbage ‐ from purchase ‐ Kg Mustard greens ‐ from purchase ‐ Kg Green bean ‐ from purchase ‐ Kg Long beans ‐ from purchase ‐ Kg Tomato ‐ from purchase ‐ Ons Carrot ‐ from purchase ‐ Kg Cucumber ‐ from purchase ‐ Kg Cassava leaves ‐ from purchase ‐ Kg Eggplant ‐ from purchase ‐ Kg Bean sprout ‐ from purchase ‐ Kg Pumpkin ‐ from purchase ‐ Kg Baby corn ‐ from purchase ‐ Ons Sup/mixed vegetables ‐ from purchase ‐ Pack Tamarind dish/ Spicy coconut soup ‐ from purchase ‐ Pack Jackfruit ‐ from purchase ‐ Kg Pawpaw ‐ from purchase ‐ Kg Mushroom ‐ from purchase ‐ Ons Stink bean ‐ from purchase ‐ Ons Jengkol (Phithecolobium) ‐ from purchase ‐ Kg Value None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None 22 Field Name From Self Production Ssnm_41b.sav (Block IV.1 Column 6&7) b41k6.108 b41k6.109 b41k6.110 b41k6.111 b41k6.112 b41k6.113 b41k6.114 b41k6.116 Total Consumption Ssnm_41c.sav (Block IV.1 Column 8&9) b41k8.108 b41k8.109 b41k8.110 b41k8.111 b41k8.112 b41k8.113 b41k8.114 b41k8.116 120 b41k4.117 b41k6.117 b41k8.117 5 121 122 123 124 125 126 127 b41k4.118 b41k4.119 b41k4.120 b41k4.121 b41k4.122 b41k4.123 b41k4.124 b41k6.118 b41k6.119 b41k6.120 b41k6.121 b41k6.122 b41k6.123 b41k6.124 b41k8.118 b41k8.119 b41k8.120 b41k8.121 b41k8.122 b41k8.123 b41k8.124 5 5 5 5 5 5 5 128 b41k4.125 b41k6.125 b41k8.125 5 129 130 131 132 133 134 135 136 137 138 139 140 141 b41k4.126 b41k4.128 b41k4.129 b41k4.130 b41k4.131 b41k4.132 b41k4.133 b41k4.134 b41k4.135 b41k4.136 b41k4.137 b41k4.138 b41k4.139 b41k6.126 b41k6.128 b41k6.129 b41k6.130 b41k6.131 b41k6.132 b41k6.133 b41k6.134 b41k6.135 b41k6.136 b41k6.137 b41k6.138 b41k6.139 b41k8.126 b41k8.128 b41k8.129 b41k8.130 b41k8.131 b41k8.132 b41k8.133 b41k8.134 b41k8.135 b41k8.136 b41k8.137 b41k8.138 b41k8.139 5 5 5 5 5 5 5 5 5 5 5 5 5 142 143 144 145 146 147 148 149 150 151 b41k4.140 b41k4.141 b41k4.142 b41k4.143 b41k4.144 b41k4.145 b41k4.146 b41k4.147 b41k4.148 b41k4.149 b41k6.140 b41k6.141 b41k6.142 b41k6.143 b41k6.144 b41k6.145 b41k6.146 b41k6.147 b41k6.148 b41k6.149 b41k8.140 b41k8.141 b41k8.142 b41k8.143 b41k8.144 b41k8.145 b41k8.146 b41k8.147 b41k8.148 b41k8.149 5 5 5 5 5 5 5 5 5 5 No 112 113 114 115 116 117 118 119 From Purchase Ssnm_41a.sav (Block IV.1 Column 4 &5) b41k4.108 b41k4.109 b41k4.110 b41k4.111 b41k4.112 b41k4.113 b41k4.114 b41k4.116 Digit 5 5 5 5 5 5 5 5 Variable Labels Shallot ‐ from purchase ‐ Ons Garlic ‐ from purchase ‐ Ons Red chili ‐ from purchase ‐ Ons Green Chili ‐ from purchase ‐ Ons Bird's eye chili (cabe rawit) ‐ from purchase ‐ Ons Canned vegetables ‐ from purchase ‐ Kg Others, please mention ‐ from purchase ‐ Kg Groundnut (peanut) without shell ‐ from purchase ‐ Kg Ground nut (peanut) with shell ‐ from purchase ‐ Kg Soy bean ‐ from purchase ‐ Kg Mung bean ‐ from purchase ‐ Kg Cashew nut ‐ from purchase ‐ ons Other nuts, please mention ‐ from purchase ‐ Kg Tofu (bean curd) ‐ from purchase ‐ Kg Tempeh (Soy bean cake) ‐ from purchase ‐ Kg Tauco (salted yellow soy beans) ‐ from purchase ‐ Ons Oncom (fermented soy bean pressed cake) ‐ from purchase ‐ Ons Others, please mention ‐ from purchase ‐ Ons Orange ‐ from purchase ‐ Kg Mango ‐ from purchase ‐ Kg Apple ‐ from purchase ‐ Kg Avocado ‐ from purchase ‐ Kg Rambutan ‐ from purchase ‐ Kg Lanzones (Duku) ‐ from purchase ‐ Kg Durian ‐ from purchase ‐ Kg snake fruit ‐ from purchase ‐ Kg Pineapple ‐ from purchase ‐ Kg Ambon banana ‐ from purchase ‐ Kg King banana ‐ from purchase ‐ Kg Other banana, please mention ‐ from purchase ‐ Kg Papaya ‐ from purchase ‐ Kg Water apple (Jambu fruit) ‐ from purchase ‐ Kg Sapodilla (sawo) ‐ from purchase ‐ Kg Star fruit ‐ from purchase ‐ Kg Great hog plum (kedondong) ‐ from purchase ‐ Kg Water melon ‐ from purchase ‐ Kg Rock melon ‐ from purchase ‐ Kg Jackfruit ‐ from purchase ‐ Kg Tomato ‐ from purchase ‐ Kg Canned fruit ‐ from purchase ‐ Kg Value None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None 23 Field Name From Self Production Ssnm_41b.sav (Block IV.1 Column 6&7) b41k6.150 b41k6.152 b41k6.153 b41k6.154 b41k6.155 b41k6.156 b41k6.157 b41k6.159 b41k6.160 Total Consumption Ssnm_41c.sav (Block IV.1 Column 8&9) b41k8.150 b41k8.152 b41k8.153 b41k8.154 b41k8.155 b41k8.156 b41k8.157 b41k8.159 b41k8.160 161 b41k4.161 162 b41k4.162 b41k6.161 b41k6.162 b41k8.161 b41k8.162 5 5 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 b41k4.163 b41k4.164 b41k4.165 b41k4.166 b41k4.168 b41k4.169 b41k4.170 b41k4.171 b41k4.172 b41k4.173 b41k4.174 b41k4.175 b41k4.176 b41k4.177 b41k4.178 b41k4.179 b41k4.180 b41k4.182 b41k4.183 b41k4.184 b41k4.185 b41k4.186 b41k4.187 b41k4.188 b41k4.189 b41k4.190 b41k4.192 b41k4.193 b41k4.194 b41k6.163 b41k6.164 b41k6.165 b41k6.166 b41k6.168 b41k6.169 b41k6.170 b41k6.171 b41k6.172 b41k6.173 b41k6.174 b41k6.175 b41k6.176 b41k6.177 b41k6.178 b41k6.179 b41k6.180 b41k6.182 b41k6.183 b41k6.184 b41k6.185 b41k6.186 b41k6.187 b41k6.188 b41k6.189 b41k6.190 b41k6.192 b41k6.193 b41k6.194 b41k8.163 b41k8.164 b41k8.165 b41k8.166 b41k8.168 b41k8.169 b41k8.170 b41k8.171 b41k8.172 b41k8.173 b41k8.174 b41k8.175 b41k8.176 b41k8.177 b41k8.178 b41k8.179 b41k8.180 b41k8.182 b41k8.183 b41k8.184 b41k8.185 b41k8.186 b41k8.187 b41k8.188 b41k8.189 b41k8.190 b41k8.192 b41k8.193 b41k8.194 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 5 192 b41k4.195 193 b41k4.196 b41k6.195 b41k6.196 b41k8.195 b41k8.196 5 5 No 152 153 154 155 156 157 158 159 160 From Purchase Ssnm_41a.sav (Block IV.1 Column 4 &5) b41k4.150 b41k4.152 b41k4.153 b41k4.154 b41k4.155 b41k4.156 b41k4.157 b41k4.159 b41k4.160 Digit 5 5 5 5 5 5 5 5 5 Variable Labels Others (please mention) ‐ from purchase ‐ Kg Coconut oil ‐ from purchase ‐ Liter Corn oil ‐ from purchase ‐ Liter Other cooking oil ‐ from purchase ‐ Liter Coconut ‐ from purchase ‐ Number Margarine ‐ from purchase ‐ Ons Others (please mention) ‐ from purchase ‐ Liter Cane sugar ‐ from purchase ‐ Ons Brown sugar (including liquid sugar) ‐ from purchase ‐ Ons Tea ‐ from purchase ‐ Ons Coffee (powder, bean, instant) ‐ from purchase ‐ Ons Instant chocolate ‐ from purchase ‐ 150gr Chocolate powder ‐ from purchase ‐ Ons Syrup ‐ from purchase ‐ 620ml*) Others (please mention) ‐ from purchase ‐ Salt ‐ from purchase ‐ Ons Candle nuts ‐ from purchase ‐ Ons Coriander seeds ‐ from purchase ‐ Ons Pepper ‐ from purchase ‐ ons Tamarind ‐ from purchase ‐ Ons Nutmeg ‐ from purchase ‐ ons Clove ‐ from purchase ‐ ons Shrimp paste ‐ from purchase ‐ ons Soy sauce ‐ from purchase ‐ 140ml *) Flavor enhancer (MSG) ‐ from purchase ‐ Gram Chili/tomato sauce ‐ from purchase ‐ 140 ml *) Prepared spices/packed ‐ from purchase ‐ Ons Others spices (please mention) ‐ from purchase ‐ Crackers ‐ from purchase ‐ Ons Melinjo Nut Crackers ‐ from purchase ‐ Ons Wet noodles ‐ from purchase ‐ Kg Instant noodle ‐ from purchase ‐ 80gr**) Rice noodle ‐ from purchase ‐ Ons Macaroni/ dried noodle ‐ from purchase ‐ ons Jelly ‐ from purchase ‐ Pack (7 gr) Baby food (packaging) ‐ from purchase ‐ 150 gr*) Others ‐ from purchase ‐ White bread ‐ from purchase ‐ Small pack Sweet bread/other bread ‐ from purchase ‐ Slice Dried cake/biscuit/crispy rolls ‐ from purchase ‐ Ons Traditional rice cakes ‐ from purchase ‐ number Fried fritters ‐ from purchase ‐ Slice Value None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None 24 Field Name From From Self Total Purchase Production Consumption No Ssnm_41a.sav Ssnm_41b.sav Ssnm_41c.sav (Block IV.1 (Block IV.1 (Block IV.1 Column 4 &5) Column 6&7) Column 8&9) 194 b41k4.197 b41k6.197 b41k8.197 195 b41k4.198 b41k6.198 b41k8.198 196 197 198 199 200 Digit Variable Labels Value 5 Mung bean porridge ‐ from purchase ‐ Serve 5 Gado‐gado/ketoprak/pecel (Vegetable salad with peanut sauce) ‐ from purchase ‐ Serve None None None None None None None b41k4.199 b41k4.200 b41k4.201 b41k4.202 b41k4.203 b41k6.199 b41k6.200 b41k6.201 b41k6.202 b41k6.203 b41k8.199 b41k8.200 b41k8.201 b41k8.202 b41k8.203 5 5 5 5 5 201 b41k4.204 b41k6.204 b41k8.204 5 Satay/tongseng (lamb soup) ‐ from purchase ‐ Serve/5 sticks None 202 b41k4.205 b41k6.205 b41k8.205 None 203 b41k4.206 204 b41k4.207 205 b41k4.208 b41k6.206 b41k6.207 b41k6.208 b41k8.206 b41k8.207 b41k8.208 206 b41k4.209 b41k6.209 b41k8.209 207 208 209 210 211 212 213 214 215 b41k4.210 b41k4.211 b41k4.212 b41k4.213 b41k4.214 b41k4.215 b41k4.216 b41k4.217 b41k4.218 b41k6.210 b41k6.211 b41k6.212 b41k6.213 b41k6.214 b41k6.215 b41k6.216 b41k6.217 b41k6.218 b41k8.210 b41k8.211 b41k8.212 b41k8.213 b41k8.214 b41k8.215 b41k8.216 b41k8.217 b41k8.218 5 Meatball/boiled/fried noodles ‐ from purchase ‐ serve 5 Instant noodles ‐ from purchase ‐ serve 5 Kid snacks/chips ‐ from purchase ‐ ons 5 Fish (fried/grilled/presto/steamed) ‐ from purchase ‐ slice 5 Chicken/meat (fried/grilled/etc) ‐ from purchase ‐ slice 5 Ice cream ‐ from purchase ‐ Small bowl 5 Other ice ‐ from purchase ‐ 299 ml 5 Other prepared food ‐ from purchase ‐ 5 Soft drink with soda ‐ from purchase ‐ 200ml*) 5 Bottled water ‐ from purchase ‐ 500ml**) 5 Bottled tea ‐ from purchase ‐ 200ml*) 5 Fruit juice ‐ from purchase ‐ 200ml*) 5 Health/energy drinks ‐ from purchase ‐ 100ml 5 Other drinks (coffee, coffee milk, chocolate milk, etc) ‐ from purchase ‐ cup 216 217 218 219 b41k4.220 b41k4.221 b41k4.222 b41k4.224 b41k6.220 b41k6.221 b41k6.222 b41k6.224 b41k8.220 b41k8.221 b41k8.222 b41k8.224 5 5 5 5 220 b41k4.225 b41k6.225 b41k8.225 5 221 222 223 224 225 226 b41k6.226 b41k6.227 b41k6.228 b41k6.229 b41k7.1 b41k7.2 b41k7.3 b41k7.4 b41k4.226 b41k4.227 b41k4.228 b41k4.229 b41k5.1 b41k5.2 227 b41k5.3 228 b41k5.4 Mixed rice/rice plate ‐ from purchase ‐ Serve Fried rice ‐ from purchase ‐ Serve Rice ‐ from purchase ‐ Serve Rice rolls in coconut soup ‐ from purchase ‐ serve Soto/gule/rawon/cincang (meat soups) ‐ from purchase ‐ serve None None None None None None None None None None None None None None None None None b41k8.226 b41k8.227 b41k8.228 b41k8.229 b41k9.1 b41k9.2 5 5 5 5 6 6 Beer ‐ from purchase ‐ 620ml**) Wine ‐ from purchase ‐ 620ml**) Other alcohol/liquor ‐ from purchase ‐ 620ml**) Filtered Clove (kretek) cigarette ‐ from purchase ‐ Sticks Clove (kretek) cigarette – no filter ‐ from purchase ‐ Sticks White cigarettes ‐ from purchase ‐ Sticks Tobacco ‐ from purchase ‐ Ons Beetle nut ‐ from purchase ‐ Others, please mention ‐ from purchase ‐ A. CEREALS ‐ from purchase Value (Rp) Rice (local, best quality, imported) ‐ from purchase ‐ Value (Rp) b41k9.3 b41k9.4 6 Sticky(glutinous) rice ‐ from purchase ‐ Value (Rp) 6 Fresh corn with husk ‐ from purchase ‐ Value (Rp) None None None None None None None None None 25 Field Name From From Self Total Purchase Production Consumption No Ssnm_41a.sav Ssnm_41b.sav Ssnm_41c.sav (Block IV.1 (Block IV.1 (Block IV.1 Column 4 &5) Column 6&7) Column 8&9) 229 b41k5.5 b41k7.5 b41k9.5 230 231 232 233 234 235 236 237 238 239 240 241 242 b41k5.6 b41k5.7 b41k5.8 b41k5.9 b41k5.10 b41k5.11 b41k5.12 b41k5.13 b41k5.14 b41k5.15 b41k5.16 b41k5.17 b41k5.18 b41k7.6 b41k7.7 b41k7.8 b41k7.9 b41k7.10 b41k7.11 b41k7.12 b41k7.13 b41k7.14 b41k7.15 b41k7.16 b41k7.17 b41k7.18 b41k9.6 b41k9.7 b41k9.8 b41k9.9 b41k9.10 b41k9.11 b41k9.12 b41k9.13 b41k9.14 b41k9.15 b41k9.16 b41k9.17 b41k9.18 243 b41k5.19 b41k7.19 b41k9.19 244 b41k5.20 b41k7.20 b41k9.20 245 b41k5.21 246 b41k5.22 b41k7.21 b41k7.22 b41k9.21 b41k9.22 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 b41k5.23 b41k5.24 b41k5.25 b41k5.26 b41k5.27 b41k5.28 b41k5.29 b41k5.30 b41k5.31 b41k5.32 b41k5.33 b41k5.34 b41k5.35 b41k5.36 b41k5.37 b41k5.38 b41k5.39 b41k7.23 b41k7.24 b41k7.25 b41k7.26 b41k7.27 b41k7.28 b41k7.29 b41k7.30 b41k7.31 b41k7.32 b41k7.33 b41k7.34 b41k7.35 b41k7.36 b41k7.37 b41k7.38 b41k7.39 b41k9.23 b41k9.24 b41k9.25 b41k9.26 b41k9.27 b41k9.28 b41k9.29 b41k9.30 b41k9.31 b41k9.32 b41k9.33 b41k9.34 b41k9.35 b41k9.36 b41k9.37 b41k9.38 b41k9.39 264 b41k5.40 265 b41k5.41 266 b41k5.42 b41k7.40 b41k7.41 b41k7.42 b41k9.40 b41k9.41 b41k9.42 Digit Variable Labels Value 6 Loosen corn – remove from the cob ‐ from purchase ‐ Value (Rp) None 6 6 6 6 6 6 6 6 6 6 6 6 6 Rice flour ‐ from purchase ‐ Value (Rp) Corn flour ‐ from purchase ‐ Value (Rp) Wheat flour ‐ from purchase ‐ Value (Rp) Other type of grain ‐ from purchase ‐ Value (Rp) B. TUBERS ‐ from purchase ‐ Value (Rp) Cassava ‐ from purchase ‐ Value (Rp) Sweet potato ‐ from purchase ‐ Value (Rp) Arrowroot ‐ from purchase ‐ Value (Rp) Taro ‐ from purchase ‐ Value (Rp) Potatoes ‐ from purchase ‐ Value (Rp) Dried cassava ‐ from purchase ‐ Value (Rp) Dried cassava flour ‐ from purchase ‐ Value (Rp) Tapioca/cassava flour ‐ from purchase ‐ Value (Rp) 6 Others, please mention ‐ from purchase ‐ Value (Rp) 6 C . FISH/SHRIMP/SQUID/MUSSELS ‐ from purchase ‐ Value (Rp) None None None None None None None None None None None None None 6 Yellow tail/Fusiliers ‐ from purchase ‐ Value (Rp) 6 Bonito/tuna/skipjack tuna ‐ from purchase ‐ Value (Rp) 6 Mackerel ‐ from purchase ‐ Value (Rp) 6 Trevally ‐ from purchase ‐ Value (Rp) 6 Indian Mackerel ‐ from purchase ‐ Value (Rp) 6 Anchovy ‐ from purchase ‐ Value (Rp) 6 Milk Fish ‐ from purchase ‐ Value (Rp) 6 Snake head ‐ from purchase ‐ Value (Rp) 6 Mozambique Tilapia ‐ from purchase ‐ Value (Rp) 6 Common Carp ‐ from purchase ‐ Value (Rp) 6 Catfish ‐ from purchase ‐ Value (Rp) 6 Barramundi ‐ from purchase ‐ Value (Rp) 6 Baronang ‐ from purchase ‐ Value (Rp) 6 Others ‐ from purchase ‐ Value (Rp) 6 Shrimp ‐ from purchase ‐ Value (Rp) 6 Squid ‐ from purchase ‐ Value (Rp) 6 Crab ‐ from purchase ‐ Value (Rp) 6 Mussel ‐ from purchase ‐ Value (Rp) 6 Others, please mention ‐ from purchase ‐ Value (Rp) 6 Trevally ‐ from purchase ‐ Value (Rp) 6 Mackerel ‐ from purchase ‐ Value (Rp) 6 frigate mackerel/tuna/skipjack tuna ‐ from purchase ‐ Value (Rp) None None None None None None None None None None None None None None None None None None None None None None None None 26 Field Name From Self Production Ssnm_41b.sav (Block IV.1 Column 6&7) b41k7.43 b41k7.44 b41k7.45 b41k7.46 b41k7.47 b41k7.48 b41k7.49 Total Consumption Ssnm_41c.sav (Block IV.1 Column 8&9) b41k9.43 b41k9.44 b41k9.45 b41k9.46 b41k9.47 b41k9.48 b41k9.49 274 b41k5.50 275 b41k5.51 276 b41k5.52 b41k7.50 b41k7.51 b41k7.52 b41k9.50 b41k9.51 b41k9.52 6 6 6 277 278 279 280 281 282 283 284 b41k5.53 b41k5.54 b41k5.55 b41k5.56 b41k5.57 b41k5.58 b41k5.59 b41k5.60 b41k7.53 b41k7.54 b41k7.55 b41k7.56 b41k7.57 b41k7.58 b41k7.59 b41k7.60 b41k9.53 b41k9.54 b41k9.55 b41k9.56 b41k9.57 b41k9.58 b41k9.59 b41k9.60 6 6 6 6 6 6 6 6 285 b41k5.61 b41k7.61 b41k9.61 6 286 287 288 289 b41k5.62 b41k5.63 b41k5.64 b41k5.65 b41k7.62 b41k7.63 b41k7.64 b41k7.65 b41k9.62 b41k9.63 b41k9.64 b41k9.65 6 6 6 6 290 b41k5.66 291 b41k5.67 b41k7.66 b41k7.67 b41k9.66 b41k9.67 6 6 292 b41k5.68 b41k7.68 b41k9.68 293 b41k5.69 294 b41k5.70 b41k7.69 b41k7.70 b41k9.69 b41k9.70 295 b41k5.71 296 b41k5.72 297 b41k5.73 b41k7.71 b41k7.72 b41k7.73 b41k9.71 b41k9.72 b41k9.73 298 299 300 301 302 303 304 b41k7.74 b41k7.75 b41k7.76 b41k7.77 b41k7.78 b41k7.79 b41k7.80 b41k9.74 b41k9.75 b41k9.76 b41k9.77 b41k9.78 b41k9.79 b41k9.80 6 Trimmed Fat meat (tetelan) ‐ from purchase ‐ Value (Rp) 6 Bones ‐ from purchase ‐ Value (Rp) 6 Others (please mention) ‐ from purchase ‐ Value (Rp) 6 E. EGG AND MILK ‐ from purchase ‐ Value (Rp) 6 Layer’s egg ‐ from purchase ‐ Value (Rp) 6 Domestic chicken egg ‐ from purchase ‐ Value (Rp) 6 Duck egg ‐ from purchase ‐ Value (Rp) 6 Bird egg ‐ from purchase ‐ Value (Rp) 6 Other egg ‐ from purchase ‐ Value (Rp) 6 Salted duck egg ‐ from purchase ‐ Value (Rp) 6 Fresh Milk ‐ from purchase ‐ Value (Rp) 6 Pasteurized milk ‐ from purchase ‐ Value (Rp) 6 Condensed milk ‐ from purchase ‐ Value (Rp) No 267 268 269 270 271 272 273 From Purchase Ssnm_41a.sav (Block IV.1 Column 4 &5) b41k5.43 b41k5.44 b41k5.45 b41k5.46 b41k5.47 b41k5.48 b41k5.49 b41k5.74 b41k5.75 b41k5.76 b41k5.77 b41k5.78 b41k5.79 b41k5.80 Digit 6 6 6 6 6 6 6 Variable Labels Anchovy ‐ from purchase ‐ Value (Rp) Yellow stripe trevally ‐ from purchase ‐ Value (Rp) Three spot gourami ‐ from purchase ‐ Value (Rp) Milk fish ‐ from purchase ‐ Value (Rp) Snakehead murrel ‐ from purchase ‐ Value (Rp) Canned fish ‐ from purchase ‐ Value (Rp) Others (please mention) ‐ from purchase ‐ Value (Rp) Dried shrimp ‐ from purchase ‐ Value (Rp) Dried squid ‐ from purchase ‐ Value (Rp) Others (please mention) ‐ from purchase ‐ Value (Rp) D . MEAT ‐ from purchase ‐ Value (Rp) Beef ‐ from purchase ‐ Value (Rp) Buffalo meat ‐ from purchase ‐ Value (Rp) Lamb ‐ from purchase ‐ Value (Rp) Pork ‐ from purchase ‐ Value (Rp) Broiler ‐ from purchase ‐ Value (Rp) Domestic chicken ‐ from purchase ‐ Value (Rp) Other poultry, please mention ‐ from purchase ‐ Value (Rp) Other meat (please mention) ‐ from purchase ‐ Value (Rp) Beef Jerky ‐ from purchase ‐ Value (Rp) Beef Floss ‐ from purchase ‐ Value (Rp) Corned beef ‐ from purchase ‐ Value (Rp) Others (please mention) ‐ from purchase ‐ Value (Rp) Liver ‐ from purchase ‐ Value (Rp) Offal (internal organs other than liver) ‐ from purchase ‐ Value (Rp) Value None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None 27 Field Name From From Self Total Purchase Production Consumption No Ssnm_41a.sav Ssnm_41b.sav Ssnm_41c.sav (Block IV.1 (Block IV.1 (Block IV.1 Column 4 &5) Column 6&7) Column 8&9) 305 b41k5.81 b41k7.81 b41k9.81 306 b41k5.82 b41k7.82 b41k9.82 Digit Variable Labels 6 Powdered Milk ‐ from purchase ‐ Value (Rp) 6 Powdered milk for baby ‐ from purchase ‐ Value (Rp) 6 Cheese ‐ from purchase ‐ Value (Rp) 6 Other dairy product (please mention) ‐ from purchase ‐ Value (Rp) 307 b41k5.83 308 b41k5.84 b41k7.83 b41k7.84 b41k9.83 b41k9.84 309 b41k5.85 310 b41k5.86 311 b41k5.87 b41k7.85 b41k7.86 b41k7.87 b41k9.85 b41k9.86 b41k9.87 312 313 314 315 316 317 318 319 320 321 322 323 324 325 b41k5.88 b41k5.89 b41k5.90 b41k5.91 b41k5.92 b41k5.93 b41k5.94 b41k5.95 b41k5.96 b41k5.97 b41k5.98 b41k5.99 b41k5.100 b41k5.101 b41k7.88 b41k7.89 b41k7.90 b41k7.91 b41k7.92 b41k7.93 b41k7.94 b41k7.95 b41k7.96 b41k7.97 b41k7.98 b41k7.99 b41k7.100 b41k7.101 b41k9.88 b41k9.89 b41k9.90 b41k9.91 b41k9.92 b41k9.93 b41k9.94 b41k9.95 b41k9.96 b41k9.97 b41k9.98 b41k9.99 b41k9.100 b41k9.101 326 b41k5.102 b41k7.102 b41k9.102 327 328 329 330 331 b41k5.103 b41k5.104 b41k5.105 b41k5.106 b41k5.107 b41k7.103 b41k7.104 b41k7.105 b41k7.106 b41k7.107 b41k9.103 b41k9.104 b41k9.105 b41k9.106 b41k9.107 6 6 6 6 6 332 333 334 335 336 b41k5.108 b41k5.109 b41k5.110 b41k5.111 b41k5.112 b41k7.108 b41k7.109 b41k7.110 b41k7.111 b41k7.112 b41k9.108 b41k9.109 b41k9.110 b41k9.111 b41k9.112 6 6 6 6 6 337 b41k5.113 338 b41k5.114 b41k7.113 b41k7.114 b41k9.113 b41k9.114 6 6 339 b41k5.115 340 b41k5.116 b41k7.115 b41k7.116 b41k9.115 b41k9.116 6 6 341 b41k5.117 b41k7.117 b41k9.117 6 Ground nut (peanut) with shell ‐ from purchase ‐ 6 F. VEGETABLES ‐ from purchase ‐ Value (Rp) 6 Spinach ‐ from purchase ‐ Value (Rp) 6 Kangkong/water spinach ‐ from purchase ‐ Value (Rp) 6 Cauliflower/Cabbage ‐ from purchase ‐ Value (Rp) 6 China cabbage ‐ from purchase ‐ Value (Rp) 6 Mustard greens ‐ from purchase ‐ Value (Rp) 6 Green bean ‐ from purchase ‐ Value (Rp) 6 Long beans ‐ from purchase ‐ Value (Rp) 6 Tomato ‐ from purchase ‐ Value (Rp) 6 Carrot ‐ from purchase ‐ Value (Rp) 6 Cucumber ‐ from purchase ‐ Value (Rp) 6 Cassava leaves ‐ from purchase ‐ Value (Rp) 6 Eggplant ‐ from purchase ‐ Value (Rp) 6 Bean sprout ‐ from purchase ‐ Value (Rp) 6 Pumpkin ‐ from purchase ‐ Value (Rp) 6 Baby corn ‐ from purchase ‐ Value (Rp) 6 Sup/mixed vegetables ‐ from purchase ‐ Value (Rp) 6 Tamarind dish/ Spicy coconut soup ‐ from purchase ‐ Value (Rp) Jackfruit ‐ from purchase ‐ Value (Rp) Pawpaw ‐ from purchase ‐ Value (Rp) Mushroom ‐ from purchase ‐ Value (Rp) Stink bean ‐ from purchase ‐ Value (Rp) Jengkol (Phithecolobium) ‐ from purchase ‐ Value (Rp) Shallot ‐ from purchase ‐ Value (Rp) Garlic ‐ from purchase ‐ Value (Rp) Red chili ‐ from purchase ‐ Value (Rp) Green Chili ‐ from purchase ‐ Value (Rp) Bird's eye chili (cabe rawit) ‐ from purchase ‐ Value (Rp) Canned vegetables ‐ from purchase ‐ Value (Rp) Others, please mention ‐ from purchase ‐ Value (Rp) G LEGUMES/NUTS ‐ from purchase ‐ Value (Rp) Groundnut (peanut) without shell ‐ from purchase ‐ Value (Rp) Value None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None 28 No Field Name From From Self Total Purchase Production Consumption Ssnm_41a.sav Ssnm_41b.sav Ssnm_41c.sav (Block IV.1 (Block IV.1 (Block IV.1 Column 4 &5) Column 6&7) Column 8&9) 342 343 344 345 b41k5.118 b41k5.119 b41k5.120 b41k5.121 b41k7.118 b41k7.119 b41k7.120 b41k7.121 b41k9.118 b41k9.119 b41k9.120 b41k9.121 346 b41k5.122 347 b41k5.123 b41k7.122 b41k7.123 b41k9.122 b41k9.123 348 b41k5.124 b41k7.124 b41k9.124 349 b41k5.125 b41k7.125 b41k9.125 6 Oncom (fermented soy bean pressed cake) ‐ from purchase ‐ Value (Rp) None 350 b41k5.126 b41k7.126 b41k9.126 None 351 352 353 354 355 356 357 358 359 360 361 362 363 b41k5.127 b41k5.128 b41k5.129 b41k5.130 b41k5.131 b41k5.132 b41k5.133 b41k5.134 b41k5.135 b41k5.136 b41k5.137 b41k5.138 b41k5.139 b41k7.127 b41k7.128 b41k7.129 b41k7.130 b41k7.131 b41k7.132 b41k7.133 b41k7.134 b41k7.135 b41k7.136 b41k7.137 b41k7.138 b41k7.139 b41k9.127 b41k9.128 b41k9.129 b41k9.130 b41k9.131 b41k9.132 b41k9.133 b41k9.134 b41k9.135 b41k9.136 b41k9.137 b41k9.138 b41k9.139 364 b41k5.140 365 b41k5.141 b41k7.140 b41k7.141 b41k9.140 b41k9.141 366 b41k5.142 367 b41k5.143 368 b41k5.144 b41k7.142 b41k7.143 b41k7.144 b41k9.142 b41k9.143 b41k9.144 369 370 371 372 373 374 b41k5.145 b41k5.146 b41k5.147 b41k5.148 b41k5.149 b41k5.150 b41k7.145 b41k7.146 b41k7.147 b41k7.148 b41k7.149 b41k7.150 b41k9.145 b41k9.146 b41k9.147 b41k9.148 b41k9.149 b41k9.150 375 b41k5.151 376 b41k5.152 377 b41k5.153 b41k7.151 b41k7.152 b41k7.153 b41k9.151 b41k9.152 b41k9.153 6 Others, please mention ‐ from purchase ‐ Value (Rp) 6 H. FRUITS ‐ from purchase ‐ Value (Rp) 6 Orange ‐ from purchase ‐ Value (Rp) 6 Mango ‐ from purchase ‐ Value (Rp) 6 Apple ‐ from purchase ‐ Value (Rp) 6 Avocado ‐ from purchase ‐ Value (Rp) 6 Rambutan ‐ from purchase ‐ Value (Rp) 6 Lanzones (Duku) ‐ from purchase ‐ Value (Rp) 6 Durian ‐ from purchase ‐ Value (Rp) 6 snake fruit ‐ from purchase ‐ Value (Rp) 6 Pineapple ‐ from purchase ‐ Value (Rp) 6 Ambon banana ‐ from purchase ‐ Value (Rp) 6 King banana ‐ from purchase ‐ Value (Rp) 6 Other banana, please mention ‐ from purchase ‐ Value (Rp) 6 Papaya ‐ from purchase ‐ Value (Rp) 6 Water apple (Jambu fruit) ‐ from purchase ‐ Value (Rp) 6 Sapodilla (sawo) ‐ from purchase ‐ Value (Rp) 6 Star fruit ‐ from purchase ‐ Value (Rp) 6 Great hog plum (kedondong) ‐ from purchase ‐ Value (Rp) 6 Water melon ‐ from purchase ‐ Value (Rp) 6 Rock melon ‐ from purchase ‐ Value (Rp) 6 Jackfruit ‐ from purchase ‐ Value (Rp) 6 Tomato ‐ from purchase ‐ Value (Rp) 6 Canned fruit ‐ from purchase ‐ Value (Rp) 6 Others (please mention) ‐ from purchase ‐ Value (Rp) 6 I. OIL & FAT ‐ from purchase ‐ Value (Rp) 6 Coconut oil ‐ from purchase ‐ Value (Rp) 6 Corn oil ‐ from purchase ‐ Value (Rp) Digit Variable Labels Value (Rp) Soy bean ‐ from purchase ‐ Value (Rp) Mung bean ‐ from purchase ‐ Value (Rp) Cashew nut ‐ from purchase ‐ Value (Rp) Other nuts, please mention ‐ from purchase ‐ Value (Rp) 6 Tofu (bean curd) ‐ from purchase ‐ Value (Rp) 6 Tempeh (Soy bean cake) ‐ from purchase ‐ Value (Rp) 6 Tauco (salted yellow soy beans) ‐ from purchase ‐ Value (Rp) 6 6 6 6 Value None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None 29 Field Name From Self Production Ssnm_41b.sav (Block IV.1 Column 6&7) b41k7.154 b41k7.155 b41k7.156 b41k7.157 Total Consumption Ssnm_41c.sav (Block IV.1 Column 8&9) b41k9.154 b41k9.155 b41k9.156 b41k9.157 382 b41k5.158 b41k7.158 b41k9.158 383 b41k5.159 384 b41k5.160 b41k7.159 b41k7.160 b41k9.159 b41k9.160 385 b41k5.161 386 b41k5.162 b41k7.161 b41k7.162 b41k9.161 b41k9.162 387 388 389 390 b41k5.163 b41k5.164 b41k5.165 b41k5.166 b41k7.163 b41k7.164 b41k7.165 b41k7.166 b41k9.163 b41k9.164 b41k9.165 b41k9.166 391 392 393 394 395 396 397 398 399 400 401 b41k5.167 b41k5.168 b41k5.169 b41k5.170 b41k5.171 b41k5.172 b41k5.173 b41k5.174 b41k5.175 b41k5.176 b41k5.177 b41k7.167 b41k7.168 b41k7.169 b41k7.170 b41k7.171 b41k7.172 b41k7.173 b41k7.174 b41k7.175 b41k7.176 b41k7.177 b41k9.167 b41k9.168 b41k9.169 b41k9.170 b41k9.171 b41k9.172 b41k9.173 b41k9.174 b41k9.175 b41k9.176 b41k9.177 402 b41k5.178 403 b41k5.179 b41k7.178 b41k7.179 b41k9.178 b41k9.179 404 b41k5.180 b41k7.180 b41k9.180 405 b41k5.181 b41k7.181 b41k9.181 406 407 408 409 410 411 b41k5.182 b41k5.183 b41k5.184 b41k5.185 b41k5.186 b41k5.187 b41k7.182 b41k7.183 b41k7.184 b41k7.185 b41k7.186 b41k7.187 b41k9.182 b41k9.183 b41k9.184 b41k9.185 b41k9.186 b41k9.187 412 b41k5.188 413 b41k5.189 b41k7.188 b41k7.189 b41k9.188 b41k9.189 No 378 379 380 381 From Purchase Ssnm_41a.sav (Block IV.1 Column 4 &5) b41k5.154 b41k5.155 b41k5.156 b41k5.157 Digit Variable Labels 6 6 6 6 Value Other cooking oil ‐ from purchase ‐ Value (Rp) Coconut ‐ from purchase ‐ Value (Rp) Margarine ‐ from purchase ‐ Value (Rp) Others (please mention) ‐ from purchase ‐ Value (Rp) 6 J. BEVERAGES INGREDIENTS ‐ from purchase ‐ Value (Rp) 6 Cane sugar ‐ from purchase ‐ Value (Rp) 6 Brown sugar (including liquid sugar) ‐ from purchase ‐ Value (Rp) None None None None 6 Tea ‐ from purchase ‐ Value (Rp) 6 Coffee (powder, bean, instant) ‐ from purchase ‐ Value (Rp) 6 Instant chocolate ‐ from purchase ‐ Value (Rp) 6 Chocolate powder ‐ from purchase ‐ Value (Rp) 6 Syrup ‐ from purchase ‐ Value (Rp) 6 Others (please mention) ‐ from purchase ‐ Value (Rp) 6 K. SPICES ‐ from purchase ‐ Value (Rp) 6 Salt ‐ from purchase ‐ Value (Rp) 6 Candle nuts ‐ from purchase ‐ Value (Rp) 6 Coriander seeds ‐ from purchase ‐ Value (Rp) 6 Pepper ‐ from purchase ‐ Value (Rp) 6 Tamarind ‐ from purchase ‐ Value (Rp) 6 Nutmeg ‐ from purchase ‐ Value (Rp) 6 Clove ‐ from purchase ‐ Value (Rp) 6 Shrimp paste ‐ from purchase ‐ Value (Rp) 6 Soy sauce ‐ from purchase ‐ Value (Rp) 6 Flavor enhancer (MSG) ‐ from purchase ‐ Value (Rp) 6 Chili/tomato sauce ‐ from purchase ‐ Value (Rp) 6 Prepared spices/packed ‐ from purchase ‐ Value (Rp) 6 Others spices (please mention) ‐ from purchase ‐ Value (Rp) 6 L. OTHER CONSUMPTION ‐ from purchase ‐ Value (Rp) 6 Crackers ‐ from purchase ‐ Value (Rp) 6 Melinjo Nut Crackers ‐ from purchase ‐ Value (Rp) 6 Wet noodles ‐ from purchase ‐ Value (Rp) 6 Instant noodle ‐ from purchase ‐ Value (Rp) 6 Rice noodle ‐ from purchase ‐ Value (Rp) 6 Macaroni/ dried noodle ‐ from purchase ‐ Value (Rp) 6 Jelly ‐ from purchase ‐ Value (Rp) 6 Baby food (packaging) ‐ from purchase ‐ Value (Rp) None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None None 30 Field Name From From Self Total Purchase Production Consumption No Ssnm_41a.sav Ssnm_41b.sav Ssnm_41c.sav (Block IV.1 (Block IV.1 (Block IV.1 Column 4 &5) Column 6&7) Column 8&9) 414 b41k5.190 b41k7.190 b41k9.190 415 b41k5.191 b41k7.191 b41k9.191 Digit Variable Labels Value 6 Others ‐ from purchase ‐ Value (Rp) 6 M. PROCESSED FOOD AND BEVERAGES ‐ from purchase ‐ Value (Rp) None None 6 White bread ‐ from purchase ‐ Value (Rp) 6 Sweet bread/other bread ‐ from purchase ‐ Value (Rp) 6 Dried cake/biscuit/crispy rolls ‐ from purchase ‐ Value (Rp) 6 Traditional rice cakes ‐ from purchase ‐ Value (Rp) 6 Fried fritters ‐ from purchase ‐ Value (Rp) 6 Mung bean porridge ‐ from purchase ‐ Value (Rp) 6 Gado‐gado/ketoprak/pecel (Vegetable salad with peanut sauce) ‐ from purchase ‐ Value (Rp) None None 6 6 6 6 Mixed rice/rice plate ‐ from purchase ‐ Value (Rp) Fried rice ‐ from purchase ‐ Value (Rp) Rice ‐ from purchase ‐ Value (Rp) Rice rolls in coconut soup ‐ from purchase ‐ Value (Rp) 6 Soto/gule/rawon/cincang (meat soups) ‐ from purchase ‐ Value (Rp) None None None None 6 Satay/tongseng (lamb soup) ‐ from purchase ‐ Value (Rp) 6 Meatball/boiled/fried noodles ‐ from purchase ‐ Value (Rp) 6 Instant noodles ‐ from purchase ‐ Value (Rp) 6 Kid snacks/chips ‐ from purchase ‐ Value (Rp) 6 Fish (fried/grilled/presto/steamed) ‐ from purchase ‐ Value (Rp) None 416 b41k5.192 417 b41k5.193 b41k7.192 b41k7.193 b41k9.192 b41k9.193 418 b41k5.194 b41k7.194 b41k9.194 419 420 421 422 b41k5.195 b41k5.196 b41k5.197 b41k5.198 b41k7.195 b41k7.196 b41k7.197 b41k7.198 b41k9.195 b41k9.196 b41k9.197 b41k9.198 423 424 425 426 b41k5.199 b41k5.200 b41k5.201 b41k5.202 b41k7.199 b41k7.200 b41k7.201 b41k7.202 b41k9.199 b41k9.200 b41k9.201 b41k9.202 427 b41k5.203 b41k7.203 b41k9.203 428 b41k5.204 b41k7.204 b41k9.204 429 b41k5.205 b41k7.205 b41k9.205 430 b41k5.206 431 b41k5.207 432 b41k5.208 b41k7.206 b41k7.207 b41k7.208 b41k9.206 b41k9.207 b41k9.208 433 b41k5.209 b41k7.209 b41k9.209 6 Chicken/meat (fried/grilled/etc) ‐ from purchase ‐ Value (Rp) None 434 435 436 437 438 439 440 441 442 b41k5.210 b41k5.211 b41k5.212 b41k5.213 b41k5.214 b41k5.215 b41k5.216 b41k5.217 b41k5.218 b41k7.210 b41k7.211 b41k7.212 b41k7.213 b41k7.214 b41k7.215 b41k7.216 b41k7.217 b41k7.218 b41k9.210 b41k9.211 b41k9.212 b41k9.213 b41k9.214 b41k9.215 b41k9.216 b41k9.217 b41k9.218 6 6 6 6 6 6 6 6 6 Ice cream ‐ from purchase ‐ Value (Rp) Other ice ‐ from purchase ‐ Value (Rp) Other prepared food ‐ from purchase ‐ Value (Rp) Soft drink with soda ‐ from purchase ‐ Value (Rp) Bottled water ‐ from purchase ‐ Value (Rp) Bottled tea ‐ from purchase ‐ Value (Rp) Fruit juice ‐ from purchase ‐ Value (Rp) Health/energy drinks ‐ from purchase ‐ Value (Rp) Other drinks (coffee, coffee milk, chocolate milk, etc) ‐ from purchase ‐ Value (Rp) None None None None None None None None None 443 444 445 446 447 b41k5.219 b41k5.220 b41k5.221 b41k5.222 b41k5.223 b41k7.219 b41k7.220 b41k7.221 b41k7.222 b41k7.223 b41k9.219 b41k9.220 b41k9.221 b41k9.222 b41k9.223 6 6 6 6 6 N. LIQUOR ‐ from purchase ‐ Value (Rp) Beer ‐ from purchase ‐ Value (Rp) Wine ‐ from purchase ‐ Value (Rp) Other alcohol/liquor ‐ from purchase ‐ Value (Rp) O. TOBACCO AND BEETLE NUT ‐ from purchase ‐ Value (Rp) None None None None None None None None None None None None None None None 31 Field Name From From Self Total Purchase Production Consumption No Ssnm_41a.sav Ssnm_41b.sav Ssnm_41c.sav (Block IV.1 (Block IV.1 (Block IV.1 Column 4 &5) Column 6&7) Column 8&9) 448 b41k5.224 b41k7.224 b41k9.224 Digit Variable Labels Value 6 Filtered Clove (kretek) cigarette ‐ from purchase ‐ Value (Rp) None 449 b41k5.225 b41k7.225 b41k9.225 6 Clove (kretek) cigarette – no filter ‐ from purchase ‐ Value (Rp) None 450 451 452 453 b41k7.226 b41k7.227 b41k7.228 b41k7.229 b41k9.226 b41k9.227 b41k9.228 b41k9.229 6 6 6 6 None None None None b41k5.226 b41k5.227 b41k5.228 b41k5.229 White cigarettes ‐ from purchase ‐ Value (Rp) Tobacco ‐ from purchase ‐ Value (Rp) Beetle nut ‐ from purchase ‐ Value (Rp) Others, please mention ‐ from purchase ‐ Value (Rp) 32 H. DATA LIST 4. NON‐FOOD EXPENDITURE File Name: Ssn99m_42.sav No Field name Digit Variable Labels Values BLOCK I. IDENTIFICATION OF PLACE (VSEN99.M) 1 b1r1 2 Province 2 b1r2 4 District/City 3 4 5 6 7 8 9 b1r3 b1r4 b1r5 b1r9 b1r10 b2r3 b1r11 3 3 1 5 2 2 1 Sub District Village/Kelurahan Type of region Sample code number Serial Number of Sampled Household ID number respondent Village classification None None 10 11 12 b2r2 wert weind 2 5 5 Total numbers of household members household weight 1999 individual weight 1999 None None None BLOCK 4.2. NON‐FOOD EXPENDITURE (VSEN99.M) 13 b42k3.230 9 A. Housing and Household facility ‐ last month (Rp) 14 b42k3.231 9 Ownership status of the house ‐ last month Notes: Please look at the List of Provinces/ District 1999 Notes: Please look at the List of Provinces/ District 1999 1 Urban 2 Rural None None None 1 Less‐developed Village 2 Non‐Less‐ developed village None 1 Owned 2 Leased 3 Rented 4 Rent‐Free 5 Government/company provided 6 Others 15 16 17 18 b42k3.232 b42k3.233 b42k3.234 b42k3.235 9 9 9 9 If owned/rent‐free, the predicted rent value per month ‐ last month (Rp) If leased, value ‐ last month (Rp) If rented, the predicted rent value per month ‐ last month (Rp) If government/company provided or other, the predicted rent value per month ‐ last month (Rp) None None None None 19 b42k3.236 9 None 20 21 22 23 24 25 26 27 28 29 30 31 b42k3.237 b42k3.238 b42k3.239 b42k3.240 b42k3.241 b42k3.242 b42k3.243 b42k3.244 b42k3.245 b42k3.246 b42k3.247 b42k3.248 9 9 9 9 9 9 9 9 9 9 9 9 Maintenance costs of the house (painting, plastering, roof, window glass, etc, including wages for the workers) ‐ last month (Rp) Electricity usage ‐ last month (kwh/watt) Value of electricity usage ‐ last month (Rp) Telephone ‐ last month (Rp) Quantity of water usage ‐ last month (liter) Value of water usage ‐ last month (Rp) LPG (Liquid Propane Gas) usage ‐ last month (kg) Value of LPG usage ‐ last month (Rp) Quantity of city gas usage ‐ last month (m2) Value of city gas usage ‐ last month (Rp) Quantity of kerosene usage ‐ last month (liter) Value of kerosene usage ‐ last month (Rp) Quantity of fuel for generator usage ‐ last month (liter) None None None None None None None None None None None None 33 No Field name Digit 32 33 34 35 36 37 38 39 b42k3.249 b42k3.250 b42k3.251 b42k3.252 b42k3.253 b42k3.254 b42k3.255 b42k3.256 9 9 9 9 9 9 9 9 40 41 42 b42k3.257 b42k3.258 b42k3.259 9 9 9 43 b42k3.260 9 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 b42k3.261 b42k3.262 b42k3.263 b42k3.264 b42k3.265 b42k3.266 b42k3.267 b42k3.268 b42k3.269 b42k3.270 b42k3.271 b42k3.272 b42k3.273 b42k3.274 b42k3.275 b42k3.276 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 60 b42k3.277 9 61 62 b42k3.278 b42k3.279 9 9 63 64 b42k3.280 b42k3.281 9 9 65 66 b42k3.282 b42k3.283 9 9 67 b42k3.284 9 68 b42k3.285 69 70 Variable Labels Values Value of fuel for generator ‐ last month (Rp) Quantity of lubricant usage ‐ last month (liter) Value of lubricant usage ‐ last month (Rp) Maintenance and repair expenditure ‐ last month (Rp) Quantity of charcoal usage ‐ last month (kg) Value of charcoal usage ‐ last month (Rp) Firewood and other fuel expenditure ‐ last month (Rp) Expenditure of others (flashlight, battery, matches, mosquito repellent, lamp, air freshener, floor cleaner, etc) ‐ last month (Rp) B. Goods and Services expenditure ‐ last month (Rp) Bathing soap, toothpaste, toothbrush, and shampoo ‐ last month (Rp) Beauty stuffs (perfume, pomade, deodorant, powder, nail clippers, lipstick, comb, etc), and sanitary napkin ‐ last month (Rp) Treatment of skin, face, nails, hair (expenses of cutting, curl, cream bath, scrubs, etc) ‐ last month (Rp) Public hospital ‐ last month (Rp) Private hospital ‐ last month (Rp) Medical Doctor practice ‐ last month (Rp) Puskesmas (Health Center) ‐ last month (Rp) Sub Health‐Centre ‐ last month (Rp) Maternal and Child Clinic/Clinic ‐ last month (Rp) Posyandu (Integrated Health Services Post)/Cadre ‐ last month (Rp) Midwife/paramedic/practice nurses ‐ last month (Rp) Traditional healer/Shinshe (Chinese traditional healer) ‐ last month (Rp) Medicine with prescription ‐ last month (Rp) Own treatment/ medicine without prescription/ herbs ‐ last month (Rp) Pregnancy check up ‐ last month (Rp) Delivery ‐ last month (Rp) Immunization for children under 5 years of age ‐ last month (Rp) Medical check up and contraceptive ‐ last month (Rp) Other health maintenance expenditure (vitamin, herb, massage, fitness, etc) ‐ last month (Rp) None None None None None None None None Donation for school development (down payment of school enrolment) ‐ last month (Rp) Tuition and contribution for parent association ‐ last month (Rp) Other fee (non‐scholastic courses, test, vocational class, etc) ‐ last month (Rp) None None None None None None None None None None None None None None None None None None None None None None None Textbooks, photocopy for teaching materials ‐ last month (Rp) Stationery (ballpoint, pencil, eraser, ruler, calculator, etc) ‐ last month (Rp) Course’s fee ‐ last month (Rp) Newspapers, magazines, books, and stationery (excl. school & courses needs) incl. rents of magazines/literatures ‐ last month (Rp) Postal, Telegram, public phone, and post materials, including pager contribution ‐ last month (Rp) None None 9 Usage of gasoline for motor vehicle used for household needs (not for business/working) ‐ last month (liter) None b42k3.286 9 None b42k3.287 9 Value of gasoline for motor vehicle used for household needs (not for business/working) (Rp) ‐ last month (Rp) Usage of diesel for motor vehicle used for household needs (not for business/working) ‐ last month (liter) None None None None 34 No Field name Digit Variable Labels 71 b42k3.288 9 Value of diesel for motor vehicle used for household needs (not for business/working) (Rp) ‐ last month (Rp) None 72 b42k3.289 9 Usage of lubricant oil for motor vehicle used for household needs (not for business/working) ‐ last month (liter) None 73 b42k3.290 9 None 74 b42k3.291 9 Value of lubricant oil for motor vehicle used for household needs (not for business/working) (Rp) ‐ last month (Rp) Maintenance and repairs of motor vehicle (brake oil, water for car battery, car battery, etc) ‐ last month (Rp) 75 b42k3.292 9 None 76 b42k3.293 9 77 78 b42k3.294 b42k3.295 9 9 Costs of transportation (bus, train, airline, ship, pedicab (pedicab), parking fee, toll fee, etc) ‐ last month (Rp) Hotel, motel, cinema, play, sport, and other recreation (excl. transportation cost and purchase of goods for recreation) ‐ last month (Rp) House maid and driver (wages or salary) ‐ last month (Rp) Other goods (tissue, camphor, banana leaves, coconut leaves, sate stick , etc) ‐ last month (Rp) 79 b42k3.296 9 80 81 b42k3.297 b42k3.298 9 9 82 b42k3.299 9 83 b42k3.300 9 84 b42k3.301 9 85 b42k3.302 9 86 87 88 89 b42k3.303 b42k3.304 b42k3.305 b42k3.306 9 9 9 9 90 91 b42k3.307 b42k3.308 9 9 Laundry‐soap (in bar form, powder, cream, and liquid) ‐ last month (Rp) Material of clothing maintenance (Softener, whitener, starch and other clothing maintenance) ‐ last month (Rp) None None 92 b42k3.309 9 Others (towel, belt, shoe polish, tie, tailor‐fee, small hanger, etc) ‐ last month (Rp) None 93 94 b42k3.310 b42k3.311 9 9 D. Durable goods ‐ last month (Rp) Furniture’s ( table, chair, bed, wardrobe, showcase, long‐shelf, mirror, kitchen cabinet, baby bed, etc) ‐ last month (Rp) None None 95 b42k3.312 9 Household facilities (sewing machine, refrigerator, fan, washing machine, Air condition, etc) ‐ last month (Rp) None 96 b42k3.313 9 None 97 b42k3.314 9 Supporting household utensils (mattress, pillow, table cloth, bed sheet, blanket, plaited mat, curtain, carpet, etc) ‐ last month (Rp) Household utensils (Iron, broom, scissors, knife, machete, saw, vacuum cleaner, hanger, soldering tools, etc) ‐ last month (Rp) 98 b42k3.315 9 Kitchen/eating utensils (rack, stove, pan, pail, wok, spoon, thermos, plate, glass, mixer, blender, microwave, etc) ‐ last month (Rp) None 99 b42k3.316 9 Decoration goods (wall decoration, aquarium, decoration goods made of ceramic, porcelain, onyx, marble, wood, etc) ‐ last month (Rp) None Other services (Identity card, Driver license, birth certificate, photo copy, photo, etc) ‐ last month (Rp) C. Clothing, Footwear, and Head gear ‐ last month (Rp) Ready made man’s wear (Blazer, long‐sleeved shirt, Jacket, sarong, pants, T‐shirt, underwear, etc) ‐ last month (Rp) Ready made woman’s wear (Gown, blouse, nightgown, sweater, skirt, sarong, shawl, underwear, etc) ‐ last month (Rp) Ready made children’s wear (clothes, pants, sweater, shirts, under wear, baby napkin, etc) ‐ last month (Rp) Materials/fabrics for man, woman, and children (wool, polyester, cotton, silk, etc) ‐ last month (Rp) Sewing cost, fixed the clothes, thread, and other stuffs of sewing needs ‐ last month (Rp) Footwear for man (shoes, sandal, sock, etc) ‐ last month (Rp) Footwear for woman (slippers, shoes, sandal, etc) ‐ last month (Rp) Footwear for children ‐ last month (Rp) Head gear for man, woman and children (hat, fez, veil, etc) ‐ last month (Rp) Values None None None None None None None None None None None None None None None None 35 No Field name Digit Variable Labels 100 b42k3.317 9 Repaired of utensils, supporting and instruments household ‐ last month (Rp) None 101 b42k3.318 9 Watch, clock, camera, glasses, video camera, other optic tools and its repaired ‐ last month (Rp) None 102 103 b42k3.319 b42k3.320 9 9 Umbrella, bag, luggage, and its repaired ‐ last month (Rp) Expensive jewellers made of metal and gold (gold, diamond, pearl, etc) and its repaired ‐ last month (Rp) None None 104 105 b42k3.321 b42k3.322 9 9 None None 106 b42k3.323 9 Children’s toy and its repaired ‐ last month (Rp) Television, video, radio, cassette, radio cassette, guitar, piano/organ, computer, and its repaired ‐ last month (Rp) Sport utensils (chess, racket, ball, net, bet, stick, swim trunk, sports shoes, goggles, etc) and its repaired ‐ last month (Rp) 107 108 109 b42k3.324 b42k3.325 b42k3.326 9 9 9 Vehicle (bicycle, motor cycle, car, etc) and large repairs ‐ last month (Rp) Pets and plants including the maintenance expenses ‐ last month (Rp) Other durable goods (cradle, baby carriage, electric installation, telephone, pipe, pager, and its repairs) ‐ last month (Rp) None None None 110 111 112 113 114 115 116 117 b42k3.327 b42k3.328 b42k3.329 b42k3.330 b42k3.331 b42k3.332 b42k3.333 b42k3.334 9 9 9 9 9 9 9 9 None None None None None None None None 118 b42k3.335 9 E. Taxes and insurance: ‐ last month (Rp) Building and Land tax (PBB) ‐ last month (Rp) Radio & TV tax, and its type ‐ last month (Rp) Vehicle (motor and non motor) tax ‐ last month (Rp) Other tax/levied (Household, garbage, safety, grave, etc) ‐ last month (Rp) Accident & loss, and health insurance ‐ last month (Rp) F. Festivities and ceremonies ‐ last month (Rp) Wedding (rents of wedding equipment, make up maker, the priest, hall rents, etc) ‐ last month (Rp) Circumcision, birthday (expenses for the circumciser service, food, decoration items, rent equipment and hall, etc) ‐ last month (Rp) 119 120 121 b42k3.336 b42k3.337 b42k3.338 9 9 9 Religious festival (‘Qurban’ festival, offering, etc) ‐ last month (Rp) Haj expenses ‐ last month (Rp) Other traditional ceremony (invite “ustadz” (Moslem teacher which expert in religion), Priest, making offering, etc) ‐ last month (Rp) None None None 122 b42k3.339 9 None 123 124 125 b42k4.230 b42k4.231 b42k4.232 10 10 10 126 127 128 b42k4.233 b42k4.234 b42k4.235 10 10 10 129 b42k4.236 10 Burial expenses (cost of bathing the body, material, service of digging the soil, coffin, cost of crematorium, etc) ‐ last month (Rp) A. Housing and Household facility ‐ last 12 months (Rp) Ownership status of the house ‐ last 12 months If owned/rent‐free, the predicted rent value per month ‐ last 12 months (Rp) If leased, value ‐ last 12 months (Rp) If rented, the predicted rent value per month ‐ last 12 months (Rp) If government/company provided or other, the predicted rent value per month ‐ last 12 months (Rp) Maintenance costs of the house (painting, plastering, roof, window glass, etc, including wages for the workers) ‐ last 12 months (Rp) 130 131 132 133 134 135 136 137 b42k4.237 b42k4.238 b42k4.239 b42k4.240 b42k4.241 b42k4.242 b42k4.243 b42k4.244 10 10 10 10 10 10 10 10 Electricity usage (kwh/watt) ‐ last 12 months (kwh/watt) Value of electricity usage ‐ last 12 months (Rp) Telephone ‐ last 12 months (Rp) Quantity of water usage ‐ last 12 months (m3) Value of water usage ‐ last 12 months (Rp) LPG (Liquid Propane Gas) usage ‐ last 12 months (kg) Value of LPG usage ‐ last 12 months (Rp) Quantity of city gas usage ‐ last 12 months (m3) Values None None None None None None None None None None None None None None None None None 36 No Field name Digit Variable Labels 138 139 140 141 142 143 144 145 146 147 148 149 b42k4.245 b42k4.246 b42k4.247 b42k4.248 b42k4.249 b42k4.250 b42k4.251 b42k4.252 b42k4.253 b42k4.254 b42k4.255 b42k4.256 10 10 10 10 10 10 10 10 10 10 10 10 None None None None None None None None None None None None 150 151 152 b42k4.257 b42k4.258 b42k4.259 10 10 10 153 b42k4.260 10 Value of city gas usage ‐ last 12 months (Rp) Quantity of kerosene usage ‐ last 12 months (liter) Value of kerosene usage ‐ last 12 months (Rp) Quantity of fuel for generator usage ‐ last 12 months (liter) Value of fuel for generator ‐ last 12 months (Rp) Quantity of lubricant usage ‐ last 12 months (liter) Value of lubricant usage ‐ last 12 months (Rp) Maintenance and repair expenditure ‐ last 12 months (Rp) Quantity of charcoal usage ‐ last 12 months (kg) Value of charcoal usage ‐ last 12 months (Rp) Firewood and other fuel expenditure ‐ last 12 months (Rp) Expenditure of others (flashlight, battery, matches, mosquito repellent, lamp, air freshener, floor cleaner, etc) ‐ last 12 months (Rp) B. Goods and Services expenditure ‐ last 12 months (Rp) Bathing soap, toothpaste, toothbrush, and shampoo ‐ last 12 months (Rp) Beauty stuffs (perfume, pomade, deodorant, powder, nail clippers, lipstick, comb, etc), and sanitary napkin ‐ last 12 months (Rp) Treatment of skin, face, nails, hair (expenses of cutting, curl, cream bath, scrubs, etc) ‐ last 12 months (Rp) 154 155 156 157 158 159 160 161 162 b42k4.261 b42k4.262 b42k4.263 b42k4.264 b42k4.265 b42k4.266 b42k4.267 b42k4.268 b42k4.269 10 10 10 10 10 10 10 10 10 Public hospital ‐ last 12 months (Rp) Private hospital ‐ last 12 months (Rp) Medical Doctor practice ‐ last 12 months (Rp) Puskesmas (Health Center) ‐ last 12 months (Rp) Sub Health‐Centre ‐ last 12 months (Rp) Maternal and Child Clinic/Clinic ‐ last 12 months (Rp) Posyandu (Integrated Health Services Post)/Cadre ‐ last 12 months (Rp) Midwife/paramedic/practice nurses ‐ last 12 months (Rp) Traditional healer/Shinshe (Chinese traditional healer) ‐ last 12 months (Rp) None None None None None None None None None 163 164 b42k4.270 b42k4.271 10 10 None None 165 166 167 168 169 b42k4.272 b42k4.273 b42k4.274 b42k4.275 b42k4.276 10 10 10 10 10 170 b42k4.277 10 Medicine with prescription ‐ last 12 months (Rp) Own treatment/ medicine without prescription/ herbs ‐ last 12 months (Rp) Pregnancy check up ‐ last 12 months (Rp) Delivery ‐ last 12 months (Rp) Immunization for children under 5 years of age ‐ last 12 months (Rp) Medical check up and contraceptive ‐ last 12 months (Rp) Other health maintenance expenditure (vitamin, herb, massage, fitness, etc) ‐ last 12 months (Rp) Donation for school development (down payment of school enrolment) ‐ last 12 months (Rp) 171 172 b42k4.278 b42k4.279 10 10 173 174 b42k4.280 b42k4.281 10 10 175 176 b42k4.282 b42k4.283 10 10 177 b42k4.284 10 Tuition and contribution for parent association ‐ last 12 months (Rp) Other fee (non‐scholastic courses, test, vocational class, etc) ‐ last 12 months (Rp) Textbooks, photocopy for teaching materials ‐ last 12 months (Rp) Stationery (ballpoint, pencil, eraser, ruler, calculator, etc) ‐ last 12 months (Rp) Course’s fee ‐ last 12 months (Rp) Newspapers, magazines, books, and stationery (excl. school & courses needs) incl. rents of magazines/literatures ‐ last 12 months (Rp) Postal, Telegram, public phone, and post materials, including pager contribution ‐ last 12 months (Rp) Values None None None None None None None None None None None None None None None None None 37 No Field name Digit Variable Labels Values 178 b42k4.285 10 Usage of gasoline for motor vehicle used for household needs (not for business/working) ‐ last 12 months (liter) None 179 b42k4.286 10 Value of gasoline for motor vehicle used for household needs (not for business/working) ‐ last 12 months (Rp) None 180 b42k4.287 10 None 181 b42k4.288 10 Usage of diesel fuel for motor vehicle used for household needs (not for business/working) ‐ last 12 months (liter) Value of diesel fuel for motor vehicle used for household needs (not for business/working) ‐ last 12 months (Rp) 182 b42k4.289 10 None 183 b42k4.290 10 184 b42k4.291 10 Usage of lubricant oil for motor vehicle used for household needs (not for business/working) ‐ (liter) Value of lubricant oil for motor vehicle used for household needs (not for business/working) ‐ last 12 months (Rp) Maintenance and repairs of motor vehicle (brake oil, water for car battery, car battery, etc) ‐ last 12 months (Rp) 185 b42k4.292 10 Costs of transportation (bus, train, airline, ship, pedicab (pedicab), parking fee, toll fee, etc) ‐ last 12 months (Rp) None 186 b42k4.293 10 None 187 188 b42k4.294 b42k4.295 10 10 189 b42k4.296 10 Hotel, motel, cinema, play, sport, and other recreation (excl. transportation cost and purchase of goods for recreation) ‐ last 12 months (Rp) House maid and driver (wages or salary) ‐ last 12 months (Rp) Other goods (tissue, camphor, banana leaves, coconut leaves, satay stick , etc) ‐ last 12 months (Rp) Other services (Identity card, Driver license, birth certificate, photo copy, photo, etc) ‐ last 12 months (Rp) 190 191 b42k4.297 b42k4.298 10 10 192 b42k4.299 10 193 b42k4.300 10 194 b42k4.301 10 195 b42k4.302 10 196 197 198 199 b42k4.303 b42k4.304 b42k4.305 b42k4.306 10 10 10 10 200 b42k4.307 10 201 b42k4.308 10 202 b42k4.309 10 203 204 b42k4.310 b42k4.311 10 10 205 b42k4.312 10 None None None None None None C. Clothing, Footwear, and Head gear ‐ last 12 months (Rp) Ready made man’s wear (Blazer, long‐sleeved shirt, Jacket, sarong, pants, T‐shirt, underwear, etc) ‐ last 12 months (Rp) Ready made woman’s wear (Gown, blouse, nightgown, sweater, skirt, sarong, shawl, underwear, etc) ‐ last 12 months (Rp) None None Ready made children’s wear (clothes, pants, sweater, shirts, under wear, baby napkin, etc) ‐ last 12 months (Rp) Materials/fabrics for man, woman, and children (wool, polyester, cotton, silk, etc) ‐ last 12 months (Rp) Sewing cost, fixed the clothes, thread, and other stuffs of sewing needs ‐ last 12 months (Rp) None None None None Footwear for man (shoes, sandal, sock, etc) ‐ last 12 months (Rp) Footwear for woman (slippers, shoes, sandal, etc) ‐ last 12 months (Rp) Footwear for children ‐ last 12 months (Rp) Head gear for man, woman and children (hat, fez, veil, etc) ‐ last 12 months (Rp) Laundry‐soap (in bar form, powder, cream, and liquid) ‐ last 12 months (Rp) Material of clothing maintenance (Softener, whitener, starch and other clothing maintenance) ‐ last 12 months (Rp) Others (towel, belt, shoe polish, tie, tailor‐fee, small hanger, etc) ‐ last 12 months (Rp) None None None None D. Durable goods ‐ last 12 months (Rp) Furniture’s ( table, chair, bed, wardrobe, showcase, long‐shelf, mirror, kitchen cabinet, baby bed, etc) ‐ last 12 months (Rp) Household facilities (sewing machine, refrigerator, fan, washing machine, Air condition, etc) ‐ last 12 months (Rp) None None None None None None 38 No Field name Digit Variable Labels 206 b42k4.313 10 Supporting household utensils (mattress, pillow, table cloth, bed sheet, blanket, plaited mat, curtain, carpet, etc) ‐ last 12 months (Rp) None 207 b42k4.314 10 Household utensils (Iron, broom, scissors, knife, machete, saw, vacuum cleaner, hanger, soldering tools, etc) ‐ last 12 months (Rp) None 208 b42k4.315 10 None 209 b42k4.316 10 Kitchen/eating utensils (rack, stove, pan, pail, wok, spoon, thermos, plate, glass, mixer, blender, microwave, etc) ‐ last 12 months (Rp) Decoration goods (wall decoration, aquarium, decoration goods made of ceramic, porcelain, onyx, marble, wood, etc) ‐ last 12 months (Rp) 210 b42k4.317 10 211 b42k4.318 10 212 213 b42k4.319 b42k4.320 10 10 214 215 b42k4.321 b42k4.322 10 10 Children’s toy and its repaired ‐ last 12 months (Rp) Television, video, radio, cassette, radio cassette, guitar, piano/organ, computer, and its repaired ‐ last 12 months (Rp) None None 216 b42k4.323 10 None 217 b42k4.324 10 218 219 b42k4.325 b42k4.326 10 10 220 221 222 223 224 b42k4.327 b42k4.328 b42k4.329 b42k4.330 b42k4.331 10 10 10 10 10 Sport utensils (chess, racket, ball, net, bet, stick, swim trunk, sports shoes, goggles, etc) and its repaired ‐ last 12 months (Rp) Vehicle (bicycle, motor cycle, car, etc) and large repairs ‐ last 12 months (Rp) Pets and plants including the maintenance expenses ‐ last 12 months (Rp) Other durable goods (cradle, baby carriage, electric installation, telephone, pipe, pager, and its repairs) ‐ last 12 months (Rp) E. Taxes and insurance: ‐ last 12 months (Rp) Building and Land tax (PBB) ‐ last 12 months (Rp) Radio & TV tax, and its type ‐ last 12 months (Rp) Vehicle (motor and non motor) tax ‐ last 12 months (Rp) Other tax/levied (Household, garbage, safety, grave, etc) ‐ last 12 months (Rp) 225 226 227 b42k4.332 b42k4.333 b42k4.334 10 10 10 Accident & loss, and health insurance ‐ last 12 months (Rp) F. Festivities and ceremonies ‐ last 12 months (Rp) Wedding (rents of wedding equipment, make up maker, the priest, hall rents, etc) ‐ last 12 months (Rp) None None None 228 b42k4.335 10 None 229 230 231 b42k4.336 b42k4.337 b42k4.338 10 10 10 232 b42k4.339 10 Circumcision, birthday (expenses for the circumciser service, food, decoration items, rent equipment and hall, etc) ‐ last 12 months (Rp) Religious festival (‘Qurban’ festival, offering, etc) ‐ last 12 months (Rp) Haj expenses ‐ last 12 months (Rp) Other traditional ceremony (invite “ustadz” (Moslem teacher which expert in religion), Priest, making offering, etc) ‐ last 12 months (Rp) Burial expenses (cost of bathing the body, material, service of digging the soil, coffin, cost of crematorium, etc) ‐ last 12 months (Rp) Repaired of utensils, supporting and instruments household ‐ last 12 months (Rp) Watch, clock, camera, glasses, video camera, other optic tools and its repaired ‐ last 12 months (Rp) Umbrella, bag, luggage, and its repaired ‐ last 12 months (Rp) Expensive jewellers made of metal and gold (gold, diamond, pearl, etc) and its repaired ‐ last 12 months (Rp) Values None None None None None None None None None None None None None None None None None 39 I. No Field name DATA LIST 5. AVERAGE HOUSEHOLD EXPENDITURE File Name: Ssn99m_43.sav Digit Variable Labels Values BLOCK I. IDENTIFICATION OF PLACE (VSEN99.M) 1 b1r1 2 Province 2 b1r2 4 District/City 3 4 5 6 7 8 b1r3 b1r4 b1r5 b1r9 b1r10 b1r11 3 3 1 5 2 1 Sub District Village/Kelurahan Type of region Sample code number Serial Number of Sampled Household Village classification BLOCK IV.3. AVERAGE HOUSEHOLD EXPENDITURE 9 b2r2a 2 Number of household member 10 b2r3 2 ID number respondent 11 b2r2 2 Total numbers of household members 12 b431.k3 12 Average of household food expenditure in one week ‐ Cereals (IV.1.A) 13 b432.k3 12 Average of household food expenditure in one week ‐ Tuber (IV.1.B) 14 b433.k3 12 Average of household food expenditure in one week ‐ Fish (IV.1.C) 15 b434.k3 12 Average of household food expenditure in one week ‐ Meat (IV.1.D) 16 b435.k3 12 Average of household food expenditure in one week ‐ Egg and Milk (IV.1.E) 17 b436.k3 12 Average of household food expenditure in one week ‐ Vegetables (IV.1.F) 18 b437.k3 12 Average of household food expenditure in one week ‐ Pulses (IV.1.G) 19 b438.k3 12 Average of household food expenditure in one week ‐ Fruits (IV.1.H) 20 b439.k3 12 Average of household food expenditure in one week ‐ Oil and Fat (IV.1.I) 21 b4310.k3 12 Average of household food expenditure in one week ‐ Beverages materials (IV.1.J) Notes: Please look at the List of Provinces /District 1999 Notes: Please look at the List of Provinces /District 1999 None None 1 Urban 2 Rural None None 1 Less‐developed Village 2 Non‐Less‐ developed village None None None None None None None None None None None None None 22 23 b4311.k3 b4312.k3 12 Average of household food expenditure in one week ‐ Spices (IV.1.K) 12 Average of household food expenditure in one week ‐ Other consumption’s (IV.1.L) None None 24 b4313.k3 12 Average of household food expenditure in one week ‐ Prepared foods and beverages (IV.1.M) None 25 b4314.k3 None 26 b4315.k3 27 28 29 b4316.k3 b4317.k4 b4318.k4 12 Average of household food expenditure in one week ‐ Alcohol’s drink (IV.1.N) 12 Average of household food expenditure in one week ‐ Tobacco and betel (IV.1.O) 12 Total household food expenditure in one week 12 Average of household food expenditure in one month 12 Average of household non‐food expenditure in one month ‐ Housing and Household facility (IV.2. A) None None None None 40 30 b4318.k5 31 b4319.k4 32 b4319.k5 33 b4320.k4 34 b4320.k5 35 b4321.k4 36 b4321.k5 37 b4322.k4 38 b4322.k5 39 b4323.k4 40 b4323.k5 41 42 43 44 b4324.k4 exp_capi wert weind 14 Average of household non‐food expenditure in 12 months ‐ Housing and Household facility (IV.2. A) 12 Average of household non‐food expenditure in one month ‐ Goods and Services (IV.2.B) None None 14 Average of household non‐food expenditure in 12 months ‐ Goods and Services (IV.2.B) 12 Average of household non‐food expenditure in one month ‐ Clothes, Footwear, and Headgear (IV.2.C) 14 Average of household non‐food expenditure in 12 months ‐ Clothes, Footwear, and Headgear (IV.2.C) None 12 Average of household non‐food expenditure in one month ‐ Durable goods (IV.2.D) 14 Average of household non‐food expenditure in 12 months ‐ Durable goods (IV.2.D) 12 Average of household non‐food expenditure in one month ‐ Tax and Insurance (IV.2.E) None 14 Average of household non‐food expenditure in 12 months ‐ Tax and Insurance (IV.2.E) 12 Average of household non‐food expenditure in one month ‐ Festivities and ceremonies (IV.2.F) 14 Average of household non‐food expenditure in 12 months ‐ Festivities and ceremonies (IV.2.F) 14 14 5 5 Average of household non‐food expenditure in one month ‐ Per capita expenditure Household weight 1999 Individual weight 1999 None None None None None None None None None None None 41 J. No Field name DATA LIST 6. INCOME, REVENUE AND NON CONSUMPTION EXPENSES File Name: Ssn99m_5.sav Digit Variable Labels Values BLOCK I. IDENTIFICATION OF PLACE (VSEN99.M) 1 b1r1 2 Province 2 b1r2 4 District/City 3 4 5 6 7 8 9 b1r3 b1r4 b1r5 b1r9 b1r10 b2r3 b1r11 3 3 1 5 2 2 1 Sub District Village/Kelurahan Type of region Sample code number Serial Number of Sampled Household ID number respondent Village classification 10 b2r2a 11 wert 12 weind 2 5 5 Number of household member Household weight 1999 Individual weight 1999 Notes: Please look at the List of Provinces/District 1999 Notes: Please look at the List of Provinces/District 1999 None None 1 Urban 2 Rural None None None 1 Less‐developed Village 2 Non‐Less‐developed village None None None BLOCK V. INCOME, REVENUE AND NON CONSUMPTION EXPENSES (VSEN99.M) 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 b5.501 b5.502 b5.503 b5.504 b5.504a b5.505 b5.506 b5.507 b5.509 b5.510 b5.511 b5.512 b5.513 b5.514 b5.515 b5.516 b5.517 b5.518 b5.519 b5.520 b5.521 b5.522 35 b5.523 36 b5.524 37 b5.525 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 12 Income from WAGE/SALARY (Rp) Income from Food and Non‐Food Agriculture (Rp) Income from Animal husbandry (Rp) Income from Poultry ‐ data 1 (Rp) Income from Poultry ‐ data 2 (Rp) Income from other various animal farming (Rp) Income from Fishing (Rp) Income from Forestry (Rp) Income from Industry (Rp) Income from Trade (Rp) Income from Transportation (Rp) Income from Services (Rp) Income from Construction (Rp) Income from NON AGRICULTURAL BUSINESS (Rp) Income from Interest received (Rp) Income from Lease of land (Rp) Income from House lease / contract (Rp) Income from Dividend (Rp) Income from Pension (Rp) Income from official training, scholarship, routine transfer (Rp) Income from Non‐Agriculture Business (Rp) Income from other sectors other than business (Rp) None None None None None None None None None None None None None None None None None None None None None None 12 12 12 Income from Insurance claims (Rp) Income from estimated house rental (Rp) Income other businesses (Rp) None None None 42 No 38 39 40 41 Field name b5.526 b5.527 b5.528 b5.529 Digit 12 12 12 12 Variable Labels Income from OTHER (OUTSIDE SALARY AND BUSINESS) (Rp) Income from TRANSFER (Rp) OTHER INCOME (Rp) TOTAL INCOME (Rp) Values None None None None 43 K. No Variable Name DATA LIST 7. SOCIAL SAFETY NET: HOUSEHOLD CHARACTERISTICS File: Ssn99ssn_h.sav Digit Variable Labels Value Labels BLOCK I. IDENTIFICATION OF PLACE (Form SSN99.RT) 1 k1r1 2 Province 2 k1r2 2 District 3 4 5 6 7 8 k1r3 k1r4 k1r5 k1r9 k1r10 k1r11 3 3 1 5 2 1 Sub‐district Village/Political district Village/political district classification (urban vs. rural) Sample code number Serial number of sample household Village classification BLOCK II. HOUSEHOLD CHARACTERISTICS (Form SSN99.RT) 9 b2r2 2 Number of household members 10 b2r3 2 Number of household members aged 5‐29 years old and in school 11 b2r4 2 Number of household members aged 5‐29 years old and no longer in school 12 b2r5 2 Number of women aged 15‐49 years old, married, and currently using contraceptive method BLOCK V. SOCIO ECONOMIC CONDITIONS OF HOUSEHOLD (Form SSN99.RT) 13 b5r1a 1 Did the household get information about Health Card? 14 b5r1b1 1 Did the household get information about Health Card ‐ from village head/village official? 15 b5r1b2 1 Did the household get information about Health Card ‐ from Puskesmas/Midwife in the village/”PLKB” (Family Planning Field Workers)? 16 b5r1b3 1 Did the household get information about Health Card ‐ from Mass Media (TV, Radio, and Newspaper)? 17 b5r1b4 1 Did the household get information about Health Card ‐ from neighbor/relative? 18 b5r1b5 1 Did the household get information about Health Card ‐ from others? 19 b5r1c1 1 Do you know that the health card can be used for free treatment for poor people at the Puskesmas/Pustu/Polindes/ Midwife in the village? 20 b5r1c2 1 Do you know that the health card can be used for free pregnancy examination for poor people at the Puskesmas/Pustu/Polindes/ Midwife in the village? 21 b5r1c3 1 Do you know that the health card can be used for free childbirth for poor people at the Puskesmas/Pustu/Polindes/ Midwife in the village? 22 b5r1c4 1 Do you know that the health card can be used for giving Notes: Please look at the List of Provinces/District 1999 Notes: Please look at the List of Provinces/District 1999 None None 1 "Urban" 2 " Rural" None None 1 "Less‐developed village" 2 "Non‐Less‐Developed village" None None None None 1 "Yes" 2 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 44 No Variable Name Digit Variable Labels supplementary food for pregnancy woman and “batita” (children under three years)? Does the household having a Health Card? How did the household obtain the health card? Value Labels 23 24 b5r2a b5r2b 1 1 25 b5r2c 1 26 b5r3a 1 27 b5r3b1 1 28 29 30 b5r3b2 b5r3b3 b5r3b4 1 1 1 31 32 33 b5r3b5 b5r3b6 b5r3b7 1 1 1 34 35 b5r3b8 b5r3c 1 1 36 b5r4 1 If there is a family member in school (IV.5 column 2=2) did the household have problem in paying education in year 1998/1999? 1 "Yes" 2 "No" 37 b5r5a 1 1 "Yes" 0 "No" 38 b5r5b 1 39 b5r5c 1 40 b5r5d 1 41 b5r5e 1 Do you solve the problem in paying education by postpone the tuition fee? Do you solve the problem in paying education by borrowed money? Do you solve the problem in paying education by ask for aid/scholarship? Do you solve the problem in paying education by selling/pawning goods? Do you solve the problem in paying education by trying to get extra income? 42 b5r5f 1 Did the household get the health card after August 31, 1998? Did the household use Health Card for treatment after August 31, 1998? 1 "Yes" 2 "No" 1 "Given by village officer/health officer" 2 "Requested to village officer/health officer" 1 "Yes" 2 "No" 1 "Yes, always" 2 "Yes, sometimes" 3 "Never" If b5r3a=2 or 3, is it because the place of treatment is too 1 "Yes" 0 "No" far? If b5r3a=2 or 3, is it because expensive transportation? 1 "Yes" 0 "No" If b5r3a=2 or 3, is it because no daily service? 1 "Yes" 0 "No" If b5r3a=2 or 3, is it because the service is not good 1 "Yes" 0 "No" enough? If b5r3a=2 or 3, is it because the household have to pay? 1 "Yes" 0 "No" If b5r3a=2 or 3, is it because they seldom/never get sick? 1 "Yes" 0 "No" If b5r3a=2 or 3, is it because of afraid to go to medical 1 "Yes" 0 "No" services? If b5r3a=2 or 3, is it because of other reason? 1 "Yes" 0 "No" If b5r3b coded 1 more than one, what is the main 1 "Place of treatment too far" reason? 2 "Expensive transportation" 3 "No daily service" 4 "The service is not good enough" 5 "Have to pay" 6 "Seldom/ never get sick" 7 "Afraid to go to Medical Service" 8 "Others" Do you solve the problem in paying education by requesting certificate of poverty from village head? 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 45 No Variable Name Digit Variable Labels Do you solve the problem in paying education by doing other? If there is a family member not in school (IV.5. Column 5=1 or 2) did you really want to pay him/her to go to school? Value Labels 43 b5r5g 1 44 b5r6 1 45 b5r7 1 46 b5r8a 1 47 b5r8b1 1 48 b5r8b2 1 49 b5r9 6 50 b5r10a 1 51 b5r10b 1 52 b5r10c 1 53 b5r10d 1 54 55 56 57 b5r10e b5r11 b5r12 b5r13 1 8 1 1 58 b5r14 1 If b5r8a=2, main reason did not join Labour Intensive Program? 59 b5r15 1 Does this household receive subsidies program aid/clothing distribution/food / 9 staple commodities in the last 6 months? 1 "Yes, free" 2 "Yes, cheap purchase" 3 "Yes, both (free and cheap purchase)" 4 "No" 60 b5r16a 2 None 61 b5r16b 1 How many times did you receive this aid during the past 6 months? Who is the donor of the aid? Note: respondent may select more than one option so that the answers consist of answer from 0 to 7. 62 b5r16c1 1 Was there any ‘labour intensive program’ in the last year? Was there any household member who joined the Labour‐Intensive Program in the last 6 months? If b5r8ba=1, numbers of male household members participating in the program If b5r8ba=1, numbers of female household members participating in the program Number of man‐days participated in Labour Intensive Programs in the last 6 month The activity of Labour Intensive Programs joined ‐ Repairing river bank The activity of Labour Intensive Programs joined ‐ Cleaning gutter The activity of Labour Intensive Programs joined ‐ Road reconstruction The activity of Labour Intensive Programs joined ‐ Unused land cultivation The activity of Labour Intensive Programs joined ‐ Other Average wage received per person per day (in Rupiah) Were there any wages received in form of commodities? Kind of commodities received: If you received the aid from “Self‐supporting”, was it through Free/selling cheap 9 staple commodities ? 1 "Yes" 0 "No" 1 "Yes, if get the funding/aid" 2 "Yes, if the domestic economy getting better" 3 "Yes, because other reason" 4 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" None None None 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" None 1 "Yes" 2 "No" 1 "Staple food" 2 "Non staple food" 1 "Small payment" 2 "The location too far" 3 "Overload work" 4 "Not selected" 5 "No need" 6 "Don’t know" 1 "Government" 2 "private/individual" 4 "Self‐supporting" 0 "Don’t know" 1 "Yes" 0 "No" 46 No Variable Name Digit 63 b5r16c2 1 64 b5r16c3 1 65 b5r16c4 1 66 b5r17a 1 67 b5r17b 1 68 b5r17c 1 69 b5r17d 1 70 b5r17e 1 71 b5r17f 1 72 b5r17g 1 73 b5r18a1 1 74 b5r18a2 1 75 b5r18a3 1 76 b5r18b1 1 77 b5r18b2 1 78 b5r18b3 1 79 80 81 b5r18c1 b5r18c2 b5r18c3 1 1 1 82 b5r18d1 1 83 b5r18d2 84 b5r18d3 Variable Labels Value Labels If you received the aid from “Self‐supporting”, was it through collecting rice? If you received the aid from “Self‐supporting”, was it through lumbung desa/village rice barn? If you received the aid from “Self‐supporting”, was it through other activity? Were there self supporting community activity in this village during the last year ‐ in the form free/cheap staple food Were there self supporting community activity in this village during the last year ‐ in the form of scholarship 1 "Yes" 0 "No" 1 Has this household purchased a refrigerator in the last 6 months 1 "Yes" 0 "No" 1 Has this household sold/pawned a refrigerator in the last 6 months 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 2 "No" 0 "Don't know" 1 "Yes" 2 "No" 0 "Don't know" Were there self supporting community activity in this 1 "Yes" village during the last year ‐ in the form used clothes 2 "No" charity 0 "Don't know" Were there self supporting community activity in this 1 "Yes" village during the last year ‐ in the form of unused land 2 "No" cultivation 0 "Don't know" Were there self supporting community activity in this 1 "Yes" village during the last year ‐ in the form of labor intensive 2 "No" program 0 "Don't know" Were there self supporting community activity in this 1 "Yes" village during the last year ‐ in the form of skill training 2 "No" 0 "Don't know" Were there self supporting community activity in this 1 "Yes" village during the last year ‐ in the form of other activity 2 "No" 0 "Don't know" Has this household possessed a sewing machine in the 1 "Yes" 0 "No" last 6 months Has this household purchased a sewing machine in the 1 "Yes" 0 "No" last 6 months Has this household sold/pawned a sewing machine in 1 "Yes" 0 "No" the last 6 months Has this household possessed a radio/tape recorder in 1 "Yes" 0 "No" the last 6 months Has this household purchased a radio/tape recorder in 1 "Yes" 0 "No" the last 6 months Has this household sold/pawned a radio/tape recorder 1 "Yes" 0 "No" in the last 6 months Has this household possessed a TV in the last 6 months 1 "Yes" 0 "No" Has this household purchased a TV in the last 6 months 1 "Yes" 0 "No" Has this household sold/pawned a TV in the last 6 1 "Yes" 0 "No" months Has this household possessed a refrigerator in the last 6 1 "Yes" 0 "No" months 47 No Variable Name 85 Digit Variable Labels Value Labels b5r18e1 1 1 "Yes" 0 "No" 86 b5r18e2 1 87 b5r18e3 1 88 b5r18f1 1 89 b5r18f2 1 90 b5r18f3 1 91 b5r18g1 1 92 b5r18g2 1 93 b5r18g3 1 94 b5r18h1 1 95 b5r18h2 1 96 b5r18h3 1 Has this household possessed jewelry/gold/gems stone in the last 6 months Has this household purchased jewelry/gold/gems stone in the last 6 months Has this household sold/pawned jewelry/gold/gems stone in the last 6 months Has this household possessed a parabolic antenna in the last 6 months Has this household purchased a parabolic antenna in the last 6 months Has this household sold/pawned a parabolic antenna in the last 6 months Has this household possessed a bicycle/boat in the last 6 months Has this household purchased a bicycle/boat in the last 6 months Has this household sold/pawned a bicycle/boat in the last 6 months Has this household possessed a motor cycle/motor boat in the last 6 months Has this household purchased a motor cycle/motor boat in the last 6 months Has this household sold/pawned a motor cycle/motor boat in the last 6 months 97 b5r18i1 1 Has this household possessed a car/motor ship in the last 6 months 1 "Yes" 0 "No" 98 b5r18i2 1 Has this household purchased a car/motor ship in the last 6 months 1 "Yes" 0 "No" 99 b5r18i3 1 1 "Yes" 0 "No" 100 101 102 b5r18j1 b5r18j2 b5r18j3 1 1 1 103 b5r18k1 1 104 b5r18k2 1 105 b5r18k3 1 106 b5r19 1 107 b5r20 1 108 b5r21 1 109 110 b5r22 b5r23 1 1 Has this household sold/pawned a car/motor ship in the last 6 months Has this household possessed land in the last 6 months Has this household purchased land in the last 6 months Has this household sold/pawned land in the last 6 months Has this household possessed a house/yard in the last 6 months Has this household purchased a house/yard in the last 6 months Has this household sold/pawned a house/yard in the last 6 months Does each member of the household (in general) pray, according to their own religion? Do all the members of the household in general eat (essential food) 2 times a day or more? Do all household members have different clothes for home, work/ school and traveling? Is the floor of the house made of non‐soil/earth? If the children are sick and or Eligible Couples want to use contraceptive, do they go to the facility/health workers and get the medicine/modern method? 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 0 "No" 1 "Yes" 2 "No" 1 "Yes" 2 "No" 1 "Yes" 2 "No" 1 "Yes" 2 "No" 1 "Yes" 2 "No" 48 No Variable Name 111 b5r24a1 1 112 b5r24a2 1 113 b5r24b1 1 114 b5r24b2 1 115 b5r24c1 1 116 b5r24c2 1 117 b5r24d1 1 118 b5r24d2 1 119 b5r25a 1 120 b5r25b 1 Opinion of respondent about recipient of staple food program 1 "All, appropriate" 2 "Majority, appropriate" 3 "Minority, appropriate" 4 "Not appropriate" 5 "Don’t know" 121 b5r25c 1 Opinion of respondent about recipient of scholarship program 1 "All, appropriate" 2 "Majority, appropriate" 3 "Minority, appropriate" 4 "Not appropriate" 5 "Don’t know" 122 b5r25d 1 Opinion of respondent about recipient of labor intensive program 1 "All, appropriate" 2 "Majority, appropriate" 3 "Minority, appropriate" 4 "Not appropriate" 5 "Don’t know" Digit Variable Labels Value Labels The procedures to determine families/households who have the right to receive health aid is very clear 1 "Yes" 2 "No" 0 "Don't know" The procedures to determine families/households who 1 "Yes" have the right to receive education aid is very clear 2 "No" 0 "Don't know" Need to have door to door registration for 1 "Yes" families/households who will receive health aid 2 "No" 0 "Don't know" Need to have door to door registration for 1 "Yes" families/households who will receive education aid 2 "No" 0 "Don't know" To determine/select families/households who will 1 "Yes" receive health aid, there should be a discussion in 2 "No" advance 0 "Don't know" To determine/select families/households who will 1 "Yes" receive education aid, there should be a discussion in 2 "No" advance 0 "Don't know" The family/household who will receive the health aid 1 "Yes" should be announced first 2 "No" 0 "Don't know" The family/household who will receive the education aid 1 "Yes" should be announced first 2 "No" 0 "Don't know" Opinion of respondent about recipient of health program 1 "All, appropriate" 2 "Majority, appropriate" 3 "Minority, appropriate" 4 "Not appropriate" 5 "Don’t know" 49 No Variable Name Digit Variable Labels Value Labels 123 b5r26 1 If there are other parties who want to give aid (capital, staple food, etc), who will be a key person (honest person) to handle aid distribution? 1 "Head of village/village official" 2 "School teacher/principal" 3 "Religious leader" 4 "Health center/Puskesmas doctor" 5 "Midwife in the village" 6 "Others" 124 wert99 6 Household weight None 50 L. No Variable Name DATA LIST 8. SOCIAL SAFETY NET: INDIVIDUAL CHARACTERISTICS File Name: Ssn99ssn_i.sav Digit Variable Labels Value Labels BLOCK I. IDENTIFICATION OF PLACE (Form VSEN99.RT) 1 k1r1 2 Province 2 k1r2 2 District 3 4 5 k1r9 k1r10 k1r11 5 2 1 Sample code number Serial number of sample household Village classification Notes: Please look at the List of Provinces/District 1999 Notes: Please look at the List of Provinces/District 1999 None None 1 "Less developed village" 2 "Developed village" None None BLOCK II. HOUSEHOLD CHARACTERISTICS (Form SSN99.RT) 6 b2r2 4 Number of household members 7 b2r3 4 Number of household members aged 5‐29 years old and in school 8 b2r4 4 Number of household members aged 5‐29 years None old and no longer in school 9 b2r5 4 Number of women aged 15‐49 years old, married, None and currently using contraceptive method BLOCK IV. HOUSEHOLD MEMBERS EDUCATION AND HEALTH CHARACTERISTICS (Form SSN99.RT) 10 mnoart 2 Serial number of household member None 11 b4k3 1 Sex 1 Male 2 Female 12 b4k4 4 Age None 13 b4k5 1 School Participation 1 "Not yet/never enroll" 2 "Currently in school" 3 "No longer in school" 14 b4k6 1 Level of Education 1 "Primary School/MI" 2 "Junior Secondary School/MTs" 3 "Senior Secondary School/MA" 4 "Academy/university" 15 b4k7 1 Did you get scholarship which started year 98/99 ? 1 "Yes" 2 "No" 16 b4k8 1 Sources of scholarship 1 "Government JPS (= Social Safety Net)" 2 "Government Non‐JPS" 3 "GN‐OTA (Foster Parents National Movement)" 4 "Private" 5 "Others (foster parents, individual, etc)" 17 b4k9 11 18 b4k10 1 The monthly amount of scholarship (in thousand Rupiah) How do you get the scholarship? None 1 "Directly given at Postal Office" 2 "Giving power of attorney to the school teacher/school committee" 3 "Directly from the school" 4 "BNI Bank" 5 "Others" 51 No Variable Name Digit Variable Labels 19 b4k11 2 The reason no longer in school 20 b4k12 1 21 b4k13 1 Did you have any health complaints during the last three months? Did you go for treatment? 22 b4k14 1 If b4k13=1 or 2, the place of treatment 23 24 25 26 b4k15 b4k16 b4k17 b4k18 1 1 11 2 27 b4k19 11 28 b4k20 1 If b4k14=1 to 4, did you use the Health Cards? Did you get charged Expenditure (in thousand Rp) Source of expenditure if the treatment place is private hospital/BUMN/Others or not using a Health Cards facility Note: the respondent may select more than one option so that the answer s spreads from 1 to 8. Cost out patient/in patient if the treatment place is private hospital/BUMN/Others or not using a Health Cards facility When did you start using the last method ? 29 b4k21 1 30 b4k22 1 Was the last method that you used your own choice? Who advised you? Value Labels 1 "Age" 2 "Education cost is expensive" 3 "Married" 4 "Take care of household" 5 "Enough of education" 6 "The school too far" 7 "Unintelligent/not capable" 8 "Helping family /working" 9 "Parents lost their job" 10 "Parents income is not enough" 11 "Others" 1 "Yes" 2 "No" 1 "Yes, out patient" 2 "Yes, in patient" 0 "No" 1 "Government Hospital" 2 "Puskesmas (Health center)/ Pustu (Supporting Health Center)" 3 "Polindes (Village Maternity Clinic)" 4 "Posyandu (Integrated Service Post)" 5 "Private hospital /BUMN (State Owned Corporation)" 6 "Others" 1 "Yes" 2 "No" 1 "Yes" 2 "No" None 1 "Household" 2 "Health Insurance" 4 "Certificate of Poverty" 8 "Others" None 1 "After August 31, 1998" 2 "Before September 1, 1998" 1 "Yes" 2 "No" 1 "Doctor" 2 "Health workers/Midwife" 3 "Family Planning workers" 4 "Village officer" 5 "Husband" 6 "Relatives" 7 "Others" 52 No Variable Name Digit Variable Labels 31 b4k23 1 Source to obtain the method 32 33 34 35 b4k24 b4k25 b4k26 b4k27 1 1 1 1 If b4k23=1 to 4, did you use the Health Cards? Did you get charged? Did you receive pregnancy examinations? Place of pregnancy examination 36 b4k28 1 37 38 b4k29 b4k30 1 11 39 b4k31 2 40 b4k32 11 41 b4k33 1 If b4k27=1to 4, did you use Health Card for pregnancy examination? Did you get charged? If b4k25 or b4k29=1, the cost of last examination (in thousand Rp) Source of expenditure if the the examination place is private hospital/BUMN/Others or not using a Health Cards facility Note: the respondent may select more than one option so that the answer s spreads from 1 to 15 Cost of last examination if the treatment place is private hospital/BUMN/Others or not using a Health Cards facility Place of birth delivery 42 43 44 b4k34 b4k35 b4k36 1 1 11 Did you use Health Card facility? Did you get charged? If b435=1, amount of expenditure? (In thousand Rp) Value Labels 1 "Government Hospital" 2 "Puskesmas (Health center)/ Pustu (Supporting Health Center)" 3 "Polindes (Village Maternity Clinic)" 4 "Posyandu (Integrated Service Post)" 5 "Private hospital /BUMN (State Owned Corporation)" 6 "Others" 1 "Yes" 2 "No" 1 "Yes" 2 "No" 1 "Yes" 2 "No" 1 "Government Hospital" 2 "Puskesmas (Health center)/ Pustu (Supporting Health Center)" 3 "Polindes (Village Maternity Clinic)" 4 "Posyandu (Integrated Service Post)" 5 "Private hospital /BUMN (State Owned Corporation)" 6 "Others" 1 "Yes" 2 "No" 1 "Yes" 2 "No" None 1 "Household" 2 "Health Insurance" 4 "Certificate of Poverty" 8 "Others" None 1 "Government hospital" 2 "Puskemas/Pustu" 3 "Polindes (Village Maternity Clinic)" 4 "Private hospital" 5 "Maternity hospital/Maternity house" 6 "Private Midwife Practice" 7 "Traditional Birth Attendant" 8 "Others" 1 "Yes" 2 "No" 1 "Yes" 2 "No" None 53 No Variable Name Digit Variable Labels Source of delivery cost if b4k33=4 to 8/ if not using Health Card facility [b4k34=2) Note: the respondent may select more than one option so that the answer s spreads from 1 to 15 Cost of delivery cost if b4k33=4 to 8/ if not using Health Card facility [b4k34=2) After August 31, ’98 did you receive Supplementary Food Program (PMT) Kind of food received 45 b4k37 2 46 b4k38 11 47 b4k39 1 48 b4k40 1 49 b4k41 2 50 weind99 12 Where did you get the Supplementary Food Program? Note: the respondent may select more than one option so that the answer s spreads from 1 to 15 Individual weight 1999 Value Labels 1 "Household" 2 "Health Insurance" 4 "Certificate of Poverty" 8 "Others" None 1 "Yes" 2 "No" 1 "Food" 2 "Vitamin" 3 "Food & Vitamin" 1 "Puskesmas" 2 "Polindes" 4 "Posyandu" 8 "Others" None 54 M. Code 1100 1101 1102 1103 1104 1105 1106 1107 1108 1109 1110 1111 1171 1172 1200 1201 1202 1203 1204 1205 1206 1207 1208 1209 1210 1211 1212 1213 1271 1272 1273 1274 1275 1276 1300 1301 1302 1303 1304 1305 1306 1307 1308 LIST OF PROVINCES and DISTRICTS/CITY 1999 Province/District/City Dista Aceh Simeulue Aceh Singkil Aceh Selatan Aceh Tenggara Aceh Timur Aceh Tengah Aceh Barat Aceh Besar Pidie Bireuen Aceh Utara Kota Banda Aceh Kota Sabang Sumatera Utara Nias Mandailing Natal Tapanuli Selatan Tapanuli Tengah Tapanuli Utara Toba Samosir Labuhan Batu Asahan Simalungun Dairi Karo Deli Serdang Langkat Kota Sibolga Kota Tanjung Balai Kota Pematang Siantar Kota Tebing Tinggi Kota Medan Kota Binjai Sumatera Barat Kepulauan Mentawai Pesisir Selatan Solok Sawahlunto/Sijunjung Tanah Datar Padang Pariaman Agam Lima Puluh Koto 1309 1371 1372 1373 1374 1375 1376 1400 1401 1402 1403 1404 1405 1406 1407 1408 1409 1410 1411 1412 1471 1472 1473 1500 1501 1502 1503 1504 1505 1506 1507 1508 1509 1571 1600 1601 1602 1603 1604 1605 1606 1607 1608 Pasaman Kota Padang Kota Solok Kota Sawah Lunto Kota Padang Panjang Kota Bukittinggi Kota Payakumbuh Riau Kuantan Sengingi Indragiri Hulu Indragiri Hilir Pelalawan Siak Kampar Rokan Hulu Bengkalis Rokan Hilir Kepulauan Riau Karimun Natuna Kota Pekan Baru Kota Batam Kota Dumai Jambi Kerinci Merangin Sarolangun Batang Hari Muaro Jambi Tanjung Jabung Timur Tanjung Jabung Barat Tebo Bungo Kota Jambi Sumatera Selatan Ogan Komering Ulu Ogan Komering Ilir Muara Enim Lahat Musi Rawas Musi Banyu Asin Bangka Belitung 55 1671 1672 1700 1701 1702 1703 1771 1800 1801 1802 1803 1804 1805 1806 1807 1808 1871 1872 3100 3171 3172 3173 3174 3175 3200 3201 3202 3203 3204 3205 3206 3207 3208 3209 3210 3211 3212 3213 3214 3215 3216 3217 3218 3219 3220 Kota Palembang Kota Pangkal Pinang Bengkulu Bengkulu Selatan Rejang Lebong Bengkulu Utara Kota Bengkulu Lampung Lampung Barat Tanggamus Lampung Selatan Lampung Timur Lampung Tengah Lampung Utara Way Kanan Tulangbawang Kota Bandar Lampung Kota Metro DKI Jakarta Kodya Jakarta Selatan Kodya Jakarta Timur Kodya Jakarta Pusat Kodya Jakarta Barat Kodya Jakarta Utara Jawa Barat Pandeglang Lebak Bogor Sukabumi Cianjur Bandung Garut Tasikmalaya Ciamis Kuningan Cirebon Majalengka Sumedang Indramayu Subang Purwakarta Karawang Bekasi Tangerang Serang 3271 3272 3273 3274 3275 3276 3300 3301 3302 3303 3304 3305 3306 3307 3308 3309 3310 3311 3312 3313 3314 3315 3316 3317 3318 3319 3320 3321 3322 3323 3324 3325 3326 3327 3328 3329 3371 3372 3373 3374 3375 3376 3400 3401 3402 3403 3404 Kota Bogor Kota Sukabumi Kota Bandung Kota Cirebon Kota Tangerang Kota Bekasi Jawa Tengah Cilacap Banyumas Purbalingga Banjarnegara Kebumen Purworejo Wonosobo Magelang Boyolali Klaten Sukoharjo Wonogiri Karanganyar Sragen Grobogan Blora Rembang Pati Kudus Jepara Demak Semarang Temanggung Kendal Batang Pekalongan Pemalang Tegal Brebes Kota Magelang Kota Surakarta Kota Salatiga Kota Semarang Kota Pekalongan Kota Tegal D I Yogyakarta Kulon Progo Bantul Gunung Kidul Sleman 56 3471 3500 3501 3502 3503 3504 3505 3506 3507 3508 3509 3510 3511 3512 3513 3514 3515 3516 3517 3518 3519 3520 3521 3522 3523 3524 3525 3526 3527 3528 3529 3571 3572 3573 3574 3575 3576 3577 3578 3600 3601 3602 3603 3604 3671 3672 Kota Yogyakarta Jawa Timur Pacitan Ponorogo Trenggalek Tulungagung Blitar Kediri Malang Lumajang Jember Banyuwangi Bondowoso Situbondo Probolinggo Pasuruan Sidoarjo Mojokerto Jombang Nganjuk Madiun Magetan Ngawi Bojonegoro Tuban Lamongan Gresik Bangkalan Sampang Pamekasan Sumenep Kota Kediri Kota Blitar Kota Malang Kota Probolinggo Kota Pasuruan Mojokerto Madiun Kota Surabaya Banten Pandeglang Lebak Tangerang Serang Kota Tangerang Kota Cilegon 5100 5101 5102 5103 5104 5105 5106 5107 5108 5171 5200 5201 5202 5203 5204 5205 5206 5271 5300 5301 5302 5303 5304 5305 5306 5307 5308 5309 5310 5311 5312 5313 5371 5400 5401 5402 5403 5404 5405 5406 5407 5408 5409 5410 5411 5412 Bali Jembrana Tabanan Badung Gianyar Klungkung Bangli Karang Asem Buleleng Kota Denpasar Nusa Tenggara Barat Lombok Barat Lombok Tengah Lombok Timur Sumbawa Dompu Bima Kota Mataram Nusa Tenggara Timur Sumba Barat Sumba Timur Kupang Timor Tengah Selatan Timor Tengah Utara Belu Alor Lembata Flores Timur Sikka Ende Ngada Manggarai Kota Kupang Prov. East Timor Kab. Covalima Kab. Ainaro Kab. Manufahi Kab. Viqueque Kab. Lautem Kab. Baucau Kab. Manatuto Kab. Dili Kab. Aileu Kab. Liquica Kab. Ermera Kab. Bobonaro 57 5413 6100 6101 6102 6103 6104 6105 6106 6107 6108 6171 6200 6201 6202 6203 6204 6205 6271 6300 6301 6302 6303 6304 6305 6306 6307 6308 6309 6371 6372 6400 6401 6402 6403 6404 6405 6406 6407 6408 6471 6472 6473 6474 7100 Kab. Ambeno Kalimantan Barat Sambas Bengkayang Landak Pontianak Sanggau Ketapang Sintang Kapuas Hulu Kota Pontianak Kalimantan Tengah Kotawaringin Barat Kotawaringin Timur Kapuas Barito Selatan Barito Utara Kota Palangka Raya Kalimantan Selatan Tanah Laut Kota Baru Banjar Barito Kuala Tapin Hulu Sungai Selatan Hulu Sungai Tengah Hulu Sungai Utara Tabalong Kota Banjarmasin Kota Banjar Baru Kalimantan Timur Pasir Kutai Barat Kutai Kutai Timur Berau Malinau Bulongan Nunukan Kota Balikpapan Kota Samarinda Kota Tarakan Kota Bontang Sulawesi Utara 7101 7102 7103 7104 7171 7172 7173 7200 7201 7202 7203 7204 7205 7206 7207 7271 7300 7301 7302 7303 7304 7305 7306 7307 7308 7309 7310 7311 7312 7313 7314 7315 7316 7317 7318 7319 7320 7321 7322 7371 7372 7400 7401 7402 7403 7404 Gorontalo Bolaang Mengondow Minahasa Sangihe Talaud Kota Gorontalo Kota Manado Kota Bitung Sulawesi Tengah Banggai Kepulauan Banggai Morowali Poso Donggala Toli‐Toli Buol Kota Palu Sulawesi Selatan Selayar Bulukumba Bantaeng Jeneponto Takalar Gowa Sinjai Maros Pangkajene Kepulauan Barru Bone Soppeng Wajo Sidenreng Rappang Pinrang Enrekang Luwu Tana Toraja Polewali Mamasa Majene Mamuju Luwu Utara Kota Ujung Pandang Kota Pare‐Pare Sulawesi Tenggara Buton Muna Kendari Kolaka 58 7471 7500 7501 7502 7571 8100 8101 8102 8103 8104 8171 8200 8201 Kota Kendari Gorontalo Boalemo Gorontalo Kota Gorontalo Maluku Maluku Tenggara Maluku Tengah Maluku Utara Halmahera Tengah Kota Ambon Irian Jaya Merauke 8202 8203 8204 8205 8206 8207 8208 8209 8210 8211 8212 8271 Jayawijaya Jayapura Nabire Fak‐Fak Sorong Manokwari Yapen Waropen Biak Numfor Adm. Paniai Puncak Jaya Adm. Mimika Kota Jayapura 59 N. 0 1 2 3 4 5 6 7 8 9 11 12 13 14 15 16 17 18 19 20 21 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 49 50 51 52 53 54 55 56 57 58 59 60 TYPE OF OCCUPATION (variable k6r24 of Ssn99k_i.sav) Armed force Physical scientists and related technicians Architects engineers and related technicians Architects engineers and related technicians Aircraft and ships' officers Life scientists and related technicians Medical, dental, veterinary and related workers Medical, dental, veterinary and related workers Statisticians, mathematical system analysts and related technicians Economists Accounts Jurists Teachers Workers in religion Authors, journalists and related writers Sculptors, painters, photographers and related creative artists Composers and performing artists Athletes, sportsman and related workers Professional, technical and related workers not elsewhere classified Legislative officials and government administrators Managers Clerical supervisor Government executive officials Stenographers, typists and card and tape-punching operators Book keepers, cashiers and related workers Computing machine operators Transport and communications supervisors Transport conductors Mail distribution clerks Telephone and telegraph operators Clerical and related workers not else where classified Manager (wholesale and retail trade) Working proprietors (wholesale and retail trade) Sales supervisors and buyers Technical salesmen, commercial travelers and manufacturers' agents Insurance, real estate, securities and business services salesman and auctioneers Salesmen, shop assistants and related workers Sales workers not elsewhere classified Managers (catering and lodging services) Working proprietors (catering and loading service) Housekeeping and related service supervisors Cooks, waiters, bartenders and related workers Maids and related housekeeping service workers note elsewhere classified Building caretakers, char workers cleaners and related workers Launderers dry-cleaners and pressers Hairdressers, barbers, beauticians and related workers Protective service workers Service workers not elsewhere classified Farm managers and supervisors 60 61 62 63 64 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 UU X1 X2 X3 Farmers Agriculture and animal husbandry workers Forestry workers Fisherman, hunters and related workers Production supervision and general foremen Miners quarrymen, well drillers and related workers Metal processors Wood preparation workers and paper marks Chemical processors and related workers Spinners, weavers, knitters, dyers and related workers Tanners, fell mongers and pelt dressers Food and beverage processors Tobacco preparers and tobacco product makers Tailors, dressmakers, sewers, upholsterers and related workers Shoemakers and leather goods marks Cabinetmakers and related woodworkers Stone cutters and carvers Blacksmiths, toolmakers and matching tool operators Machinery fitters, machine assemblers and precision instrument makers except electrical) Electrical fitters and related electrical and electronic workers Broadcasting station and sound equipment porters and cinema projectionists Plumbers, welders, sheet metal and structural metal preparers and erectors Jewelry and precious metal workers Glass formers, potters and related workers Rubber and plastics product makers Paper and related workers Printers and related workers Painters Production and related workers not elsewhere classified Bricklayers, carpenters and other construction workers Stationary engine and related equipment porters Material-handling and related equipment operators, dockers and freight handlers Transport equipment operators Laborers not elsewhere classified Unmapped codes New workers seeking employment Workers reporting occupations unidentifiable or inadequately described Workers not reporting any occupation 61 O. TYPE OF BUSINESS (variable k6r25 of Ssn99k_i.sav) Based on Indonesia Standard Industrial Classification 1997 11 Food Agriculture Plantation 12 Other Agriculture Plantation 13 Husbandry 14 Agriculture & Husbandry Services 15 Forestry and Forest Lumbering 16 Hunting, Cultivation of Sea Animals 17 Sea Water Fishery 18 Fresh Water Fishery 21 Coal Mining 22 Oil Mining & Petroleum 23 Iron Ore Mining 24 Stone Quarrying, Clay and Sand 25 Salt Mining & Quarrying 26 Chemicals and Mineral Fertiliser Mining & Quarrying 31 Food, Beverage and Tobacco Industry 32 Textile, Ready to Wear Clothes and Leather Industry 33 Wooden Commodities Industry Including Furniture 34 Paper & Paper Commodities, Printing and Publishing Industry 35 Chemicals and Commodities of Chemical Materials, Petroleum, Coal, Rubber and Plastic 36 Industry of Non Iron Mining, except Petroleum and Coal 37 Based Iron Industry 38 Industry of Iron Commodities, Machinery and Equipment 39 40 41 42 51 52 61 62 63 64 71 Other Industrial Process Electricity Gas and Steam Purification, Stock and Water Distribution Civil Building Electricity & Communication Building Large Trading Retail Trading Restaurant Hotel & Lodgings Land Transportation, Transportation with Pipe Channels 72 Water Transportation 73 Air Transportation 74 Storage and Supportive Transportation Services 75 Communication 81 Financial Institution 82 Insurance 83 Rent Establishment/Sell & Purchase Land & Establishment Services 91 Government & Defence Services 92 Sanitary & Similar Services 93 Social & Community Services 94 Entertainment & Culture Services 95 Individual & Household Services 96 International & Extra Territorial Body 00 ACTIVITIES THAT ARE NOT CLEAR 62 P. Code 11 12 21 22 31 32 41 42 51 52 61 62 71 72 81 82 91 92 101 102 111 LIST OF MAIN SOURCES OF INCOME Main Source of Income Agriculture/farming ‐ Workers/employee Agriculture/farming ‐ Business man Mining/quarrying ‐ Workers/employee Mining/quarrying ‐ Business man Processing industry ‐ Workers/employee Processing industry ‐ Business man Electricity, gas, water ‐ Workers/employee Electricity, gas, water ‐ Business man Construction ‐ Workers/employee Construction ‐ Business man Trade ‐ Workers/employee Trade ‐ Business man Transportation/Storage, & communication ‐ Workers/employee Transportation/Storage, & communication ‐ Business man Finance, insurance, building rental business, land, and services company ‐ Workers/employee Finance, insurance, building rental business, land, and services company ‐ Business man Community, Social & individual services ‐ Workers/employee Community, Social & individual services ‐ Business man Other ‐ Workers/employee Other ‐ Business man. Income receiver 63 Q. CORE QUESTIONNAIRE SUSENAS VSEN99.K REPUBLIC OF INDONESIA CENTRAL BUREAU OF STATISTICS 1999. NATIONAL SOCIO ECONOMIC SURVEY LISTING OF HOUSEHOLD MEMBERS AND HOUSEHOLD CORE Confidential 01 02 03 04 05 06 07 08 09 10 11. 01 02. 03 I. IDENTIFICATION OF PLACE Province District/City *) Sub-district Village/ Kelurahan *) Vilage/political district classification (urban vs 1. Urban 2. Rural rural) Enumeration area number Segments group number Segment number Sample code number Serial number of Sample household Village classification 1. Less developed village 2. Developed village Fill in by CBS II. HOUSEHOLD CHARACTERISTICS The name of household head 04 Number of household member who are still in school Number of household members 05 Number of household members were passed away Number of children aged 0 - 4 years old 06 Does this household have a holly book? Yes 1 No 2 III. ENUMERATING CHARACTERISTICS Name and employment identity number of 05 Name and employment identity number of enumerator supervisor 02 Enumerators occupation: 06 Supervisors occupation 1. Provincial staff 3. Sub district staff 1. Provincial staff 3. Sub district staff 2. District staff 4. Hired worker 2. District staff 4. Hired worker 03 Date of enumeration 07 Date of supervision 04 Signature of enumerator 08 Signature of supervisor *) Cross out inapplicable category 01 64 Serial number (1) 01 02 03 04 05 06 07 08 09 10 Name of Household Members (write down who usually stay and eating in this household; adult, children, or baby) (2) IV. A. HOUSEHOLD MEMBERS CHARACTERISTICS Relation Sex: Age Marital If k.(6) to the M 1 (year) Status coded 2 or head of F 2 (code) 3, where household is it recorded? (3) (4) (5) (6) (7) Only for household members aged 5 years old How School long did participat you read ion holy (code) book/ religion article in the last week? ( hours) (8) (9) IV.B. HOUSEHOLD MEMBERS WHO WERE DIED (INCLUDING STILL BORN) DURING PREVIOUS YEAR 01 02 Code of column 3: Relation to the head of household 1. The head of household 6. Parent/In-law 2. Wife/husband 7. Other relative 3. Children 8. House maid 4. Son/daughter in-law 9. Others 5. Grandchildren Code of column 6: Marital Status 1. Single 2. Married 3. Divorced 4. Widowed Code of column 7: 1. KUA (Religion Office) 2. Civil Registered Office 3. State Court Office 4. Others Code of Column 9: School Participation 1. In school 2. No longer in school 65 V. INDIVIDUAL HEALTH AND EDUCATION CHARACTERISTICS Name: ………………..Serial number: …………… Serial number of biological mother: ……………. (Fill in 00 if biological mother not living in this household) 1. Did you have health complaints during the previous month, such as: (read from a to p ) (Fill in code 1 if there an answer, code 0 if not) a Fever i. Liver/jaundice b Cough j. Headache c Flu/cold k. Convulsion d Asthma l. Paralyze e Breath difficulty m. Dementia/senility f. Diarrhea n. Accident g. Measles o. Toothache h. Ears discharge p. Others If all coded 0, than go to Q.7.a. or Q. 14 2. If you have a complaint, did it disrupt your work, school, or daily activity? Yes 1 No 2 →(skip to Q.5.a) 3. Duration of disrupted ……………….days 4. Are still disrupted now? Yes 1 No 2 5. a. Did you ever have self-treatment in the last month? Yes 1 No 2 → (skip to Q.6.A) b. Duration of self-treatment …….. days c. Type of medicine used: 1. Modern medicine 4. Others 2. Traditional medicine d. If used modern medicine, where was it purchased? 1. Pharmacy 8. Vendor 2. Drug store 16. Peddler 4. Village Medicine 32. Other Post 6.a. Were you an outpatient in the last month? Yes 1 No 2 → (skip to Q.7.a or Q14) 6.b. Frequency of an outpatient treatment: (filling in the frequency of an outpatient of each services) 01. Public Hospital 06. Polyclinic 02. Private hospital 07. Paramedics 03. Medical practitioner practice 04. Health center 08. Traditional healer 05. Sub health center 09. Village Maternity Post (Polindes) 10. Integrated service post (Posyandu) c. Where did you go for an outpatient at first time? (Filling in the code of services which appropriated with Q. 6.b) ONLY FOR CHILDREN AGED 0 – 59 MONTHS 7. a. Age in month: …………………months ( go to Q.8 if the content # 00) b. If Q. 7.a = 00, age in days: ………..days 8. Who assist you with the birth process? (code of the answer, directly filling in the box) 1. Medical doctor 4. Traditional Birth 2. Midwife Attendant 3. Other paramedics 5. Relative 6. Others First Last 9. How many times the children have immunization? (Filling in 0, if never been in immunized) a. BCG c. Polio b. DPT d. Measles/Morbili 10. Do you have KMS/Immunization Card? 1. Yes, have at home 2. Yes, have in go to another Place Q. 12 3. Does not have 3 11. Frequency of immunization based on KMS/Immunization data a. BCG c. Polio b. DPT d. Measles/Morbili 12. Have ever been breast fed? Yes 1 No 2 → (finished) 13. (Please filling in days if Q. 7.a = 00 or in month if Q.7.a #00) a. Duration of breast feeding b. Just breast feeding c. Breast feeding + food/drink supplement d. (Specific for children under 12 month) Within 24 the last hours, the child given: 1. Just breast feeding 2. Breast feeding + food/drink supplement 3. No breast feeding (only food and drinks) ONLY FOR THOSE AGED 5 YEARS AND ABOVE 14. School participation: 1. Never/has not attended school →(skip to Q.19) 2. Currently attending school →(skip to Q.16.a) 3. Not attending school anymore 15. If Q.14=3, when did you drop out of school? (Fill in 00, if drop out before 1987 Month:…………Year:………….. 16. a. The highest level and type of education ever or being attended: 01. Primary school 08. Islamic senior 02. Islamic primary school secondary school (Madrasah Ibtidaiyah) (Madrasah Aliyah) 03. Package A group 09. Vocational 04. Junior high/ Vocational High school 05. Islamic junior school 10. Diploma I/II (Madrasah Tsanawiyah) 11. Diploma III/ 06. Package B group 12. Diploma IV/bachelor 07. Senior High school 13. Master 14. Ph.D. b. Education provider: 1. Public 3. Foreign 2. Private 66 17. Level/grade ever or being attended: 0 1 2 3 4 5 6 7 8 (completed) 18. The highest level completed: 1. Not completed 5. Vocational high. school Primary school/MI 6. Diploma I/II 2. Primary school 7. Diploma III/bachelor 3. Junior high school/ 8. Diploma IV/graduate Vocational Jr.school/ 9. Master/Ph.D. MTs/equal 4. Senior high school/MA/equal 19. Can you write and read? 1. Yes, Latin script 3. Can not 2. Yes, other script VI. ACTIVITY OF HOUSEHOLD MEMBERS AGED 10 YEARS AND ABOVE 20. a. Did you do some activity during previous week? Yes 1 No 0 1. Working for living/helping for living 2. Attending school 3. House keeper 4. Others If Q.20.a.1 to 4 coded 0 →(skip to Q.21) b. From Q. 20.a. activity of 1 to 4 that are coded 1, which activity used most of the time during previous week? 1 (skip to Q.23) 2 3 4 21. If Q.20.a.1 =1 → (to Q,23a.) If Q.20.a.1 =0, did you work for living at least 1 hour during previous week? Yes 1 (skip to Q.23) No 2 22. Do you have permanent job, but were temporary not working during previous week? Yes 1 No 2 1 (skip to Q.28) 23. a. Total days of work: …………. days b. Number of hours of total daily worked in the previous week Mon. Tue Wed. Thu Fri Sat Sun Total …. …. …. …. …. … …. …… 24. Type of occupation/position of the last week main job (write down completely) ……………………………………… Coded by editor 25. Type of main business of the last week main working place (write down completely) Coded ………………………………….. by editor 26. Status/position (main business/job during previous week) 1. Self-employed 2. Self-employed, assisted by temporary or unpaid workers 3. Self-employed, assisted by permanent paid workers 4. Paid employee/workers 5. Unpaid worker 27. How much the wage/net salary received in a month from your main work? Wage/salary (in cash): Rp………………….. Wage/salary (in-good) Rp …………… 28. Are you looking for a job? Yes 1 No 2 29. Have you ever worked sine July 1997? Yes 1 No 2→(got to Q.32 or other household member) 30. Did you ever quit of work/moved to other work since July 1997? Yes 1 No 2→(got to Q.32 or other household member) 31.Main reason of quitting/moving from the last job: 1. Get fired 5. Unsatisfied with the income 2. Business stuck 6. Uncomfortable with 3. House keeper work environment 4. The work not suitable 7. Other……………… VII. FERTILITY AND FAMILY PLANNING EVER MARRIED WOMEN AGED ≥ 10 YEAR (Block IV.A. Column 4=2, Column 6=2, 3,4) 32. Age of first married ……………….years 33. Total number of years in marriage: ………….years 34. Number of biological child M F M+F which gave a birth a. Born alive b. Still alive c. Died WOMEN AGED 10-49 YEARS AND MARRIED “Must obtain date directly from the subject” 35. Have you ever used contraception? Yes 1 No 2 → other household Member 36. Are you currently using a contraceptive? Yes 1 No 2 → (skip to Q.38) 37. Type of contraceptive currently used: 1. Tubectomy 6. Pill 2. Vasectomy 7. Condom 3. IUD 8. Intravaginal/tissue/female 4. Injectable condom 5. Implant 9. Traditional method 38. If Q.36 coded 2, reason not using a contraceptive: 1. Expensive 4. Afraid with side effect 2. Contraceptive 5. Husband disagree unavailable 6. Other 3. Not comfortable 67 VIII. HOUSING AND SETTLEMENT 1. Status of house: 1. Privately owned 2. Leased 3. Rented 2. Type of roof: 1. Concrete 2. Corrugated tile 3. Shingle roof 4. Iron sheeting 3. Type of wall: 1. Brick 2. Wood 4. Type of floor: 1. Marble/ceramic 2. Floor tile 3. Cement plaster/ 4. Official 5. Free 6. Other 5. Asbestos 6. Sugar palm fiber 7. Leaves 8. Others 3. Bamboo 4. Others 4. Wood 5. Bamboo 6. Earth 7.Others 5. Floor area: …………………….m2 6. a. Source of drinking water: 1. Bottled water 6. Protected spring 2. Tap water 7. Unprotected spring 3. Pump 8. River 4. Protected well 9. Rain water 5. Unprotected well 0. Others b. If Q.6.a. =3 to 7 (pump/well/spring) nearest distance to the septic tank: 1. < 6 m 4. ≥ 16 m 2. 6 – 10 m 5. Don’t know 3. 11 – 15 m 7. How to obtain the drinking water: 1. Purchased 2. Does not purchase 8. Drinking water facility: 1. Private 3. Public 2. Shared 4. None 9. a. Toilet facility: 1. Private 3. Public 2. Shared 4. Others b. Type of toilet: 1. Squatter 3. Dry latrine 2. Throne 4. Others c. Final disposal: 1. Septic tank 4. Hole 2. Pond/field rice 5. Shore/open field/ 3. River/lake/ 6. Others Ocean 10. Source of light: 1. PLN electricity 4. Oil lamp 2. Electricity non PLN 5. Others 3. Pump lantern IX. AVERAGE MONTHLY HOUSEHOLD EXPENDITURE AND MIAN OF SOURCE A. Food expenditure during previous week (1) 1. Cereals (rice, corn, wheat flour, rice flour, corn flour, etc) Rp (2) 2. Tuber (cassava, sweet potato, potato, dried cassava chip, taro, sago, etc) 3. Fish (fresh fish, salted/preserved fish, shrimp, etc) 4. Meat (beef/ buffalo/ lamb/mutton/ham/ chicken, entrails, liver, spleen, shredded dried meat, dried meat, etc) 5. Egg and milk (chicken egg/duck egg/quail egg, fresh milk, sweetened condensed milk, powdered milk, etc) 6. Vegetables (spinach, swamp cabbage, cucumber, carrot, string bean, green bean, union, chili, tomato, etc) 7. Pulses (peanut/mungbean/ soybean/ kidney bean/lima bean/cashew nut, tofu, fermented soybean cake, fermented soybean sauce, peanut expeller cake, etc) 8. Fruits (orange, mango, apple, durian, rambutan, snake fruit, lanzon, pineapple, water melon, banana, papaya, etc) 9. Oil and fat (coconut oil/frying oil, coconut, butter, etc) 10. Beverage flavor (granulated sugar, palm sugar, tea, coffee, cocoa, syrup, etc) 11. Spices (salt, candle nut, coriander, pepper, fish paste, soybean sauce, monosodium glutamate, etc) 12. Other consumption (crisp, crisp chip, noodle, wheat & rice noodle, macaroni, etc) 13. Prepared food and beverages (bread, biscuits, wet cake, porridge, meat ball, syrup ice, soda pop, salad, plate of rice and side dish, etc) 14. Alcoholic beverages (beer, wine, and other alcoholic drink) 15. Tobacco and betel (clove cigarette, menthol cigarettes, cigar, tobacco, betel, areca nut, etc) 16. Total food (Q. 1 to – 15): 68 IX. AVERAGE MONTHLY HOUSEHOLD EXPENDITURE AND MAIN SOURCE OF INCOME B. NON FOOD EXPENDITURE DURING THE LAST 12 Previous Month 12 Months Ago MONTHS/PREVIOUS MONTH (Rp) (Rp) (1) (2) (3) 17. Housing and household facility (rents, value of imputed rent, electricity bill, bills of telephone, gas, kerosene, water, wood, etc) 18. Miscellaneous goods and services (toilet soap, cosmetic article, transportation, reading material, Identity & License, recreation, telephone card, postal, etc) 19. Education expenses (entry/registration fee, tuition, scouts, handicraft, etc) 20. Health expenses (hospital, Puskesmas, medical doctor, traditional healer, medicines, etc) 21. Clothing, footwear, head gear (material clothes, ready-made clothes, shoes, hat, detergent, etc) 22. Durable goods (household appliances, tools, kitchen ware, amusement tools, sports equipment, expensive jewelry/ imitation jewelry, vehicle, umbrella, watch, camera, telephone installment expenses, electricity installment expenses, etc) 23. Taxes and insurance (building and land tax, TV/radio tax, vehicle tax, accident/health insurance 24. Festivities and ceremonies (wedding, circumcision, birthday, religious festival, traditional ceremony, etc) 25. Total non food (Question 17 to 24) 26. Average of monthly food expenditure (Q. 16 x 30 ) 7 27. Average of monthly non food expenditure (Q 25 Column 3) 12 28. Average of monthly household expenditure (Q 26 + Q.27) 29. This household celebrate: 1. Idul Fitri (moslem) 4. New Year 16. Nyepi 2. Christmas/Easter 8. Waisak (Buddhist) (Hindus) 30. Average expenditure of daily household food consumption (come from purchase, own production, and as a gift) Note: For Idul Fitri is daily average of expenditure during fasting month till Idul Fitri day Filled in Editor 69 X. LIVESTOCK/POULTRY RAISING & LAND AREA CHARACTERISTICS 1. Do this household raise livestock? Yes 1 No 2 (skip to Q.3) 2. Type and number of poultry/livestock raised: Type of Quantity (code) poultry/ (If raising poultry, Column 3 and 4 not necessarily have to filled in) livestock Male Female Total (1) (2) a. ……….. b. ……….. c. ……….. d. ……….. Code of column 2: 01. Dairy cow 02. Cow 03. Buffalo (3) 04. Horse 05. Goat 06. Sheep (4) 07. Pig 08. Domestic chicken 09. Layers (5) 10. Broilers 11. Duck 3. Does this household posse the land? Yes 1 No 2 → (skip to block XI) 4. Land area: Land Status Enumerating time Previous year (ha) Rice field land Dry land Rice field land Dry land (ha) (ha) (ha) (ha) (1) (2) (3) 94) (5) a. Possessed (bought, inheritance, grant, etc) b. Getting from other party c. Belongs to other party d. Possessed (a+b+c) e. Using for farming XI. MAIN SOURCE OF INCOME OF HOUSEHOLD Main source of household income: ……………………………………………………………….. ……………………………………………………………….. (write down completely) Filling in code of business field/income receiver and work status as main source income into the box. The first two digit of business field/income receiver, the last 1 digit for work status: Code of business field/receiver income: 01. Agriculture/farming 02. Mining/quarrying 03. Processing industry 04. Electricity, gas, water 05. Construction 06. Trade 07. Transportation/Storage, & communication 08. Finance, insurance, building rental business, land, and services company 09. Community, Social & individual services 10. Other 11. Income receiver Code of work status: 1. Workers/employee 2. Business man 70 XII. N O T E 71 R. MODULE QUESTIONNAIRE SUSENAS VSEN99.M REPUBLIC OF INDONESIA CENTRAL BUREAU OF STATISTICS 1999 NATIONAL SOCIO-ECONOMIC SURVEY LISTING OF HOUSEHOLD CONSUMPTION AND EXPENDITURES CONFINDENTIAL I. IDENTIFICATION OF PLACE 07 08 III. ENUMERATING CHARACTERISTICS Name and employment identity number of enumerator Enumerator s occupation Provincial staff 1 District/city 2 staff Sub district staff 3 Hired worker 4 Date of enumeration Enumerators signature Name and employment identity number of supervisor Supervisors Position Province KS staff 1 District/city 2 KS staff Mantis 3 Date of supervision Serial number Supervisors signature 03 Name & serial number of respondent 04 Address (name of street/lane/RT/RW) 01 Province 01 02 03 04 05 District/city*) Sub district Village / kelurahan *) Area 02 06 07 08 09 10 11 Enumeration area number Segments group number Segment number Sample code number Sample serial number of household Village classification 01 02 1. Urban 2. Rural 03 04 05 06 1. Least develope d village 2. Developed village II. HOUSEHOLD CHARACTERISTICS Name of household head Number of household members Filled in by editor 72 IV.1. CONSUMPTIONS OF FOOD, BEVERAGES, AND TOBACCO DURING THE LAST WEEK From Buying (cash/credit) ID No (1) From own production, gift, etc Total consumption Detail Unit standard Amount (0,00) Value (Rp) Amount (0,00) Value (Rp) (2) (3) (4) (5) (6) (7) , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 1 A. 2 Rice (local, best quality, imported) Kg 3 Sticky(glutinous) rice Kg 4 Fresh corn with husk Kg 5 Loosen corn – remove from the cob Kg 6 Rice flour Kg 7 Corn flour Kg 8 Wheat flour Kg 9 Other type of grain Kg 10 B. 11 Cassava Kg 12 Sweet potato Kg 13 Arrowroot Kg 14 Taro Kg 15 Potatoes Kg 16 Dried cassava Kg 17 Dried cassava flour Kg Amount (4)+(6) (0,00) (8) Nilai (5)+(7) (Rp) (9) CEREALS TUBERS 73 IV.1. CONSUMPTIONS OF FOOD, BEVERAGES, AND TOBACCO DURING THE LAST WEEK From Buying (cash/credit) ID No Detail (1) 18 19 20 (2) Unit standard Tapioca/cassava flour (3) Kg Others, please mention Kg Amount (0,00) Value (Rp) Amount (0,00) Value (Rp) (4) (5) (6) (7) Amount of consumption Amount (4)+(6) (0,00) (8) , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Nilai (5)+(7) (Rp) (9) C. FISH/SHRIMP/SQUID/MUSSELS 1) Fresh fish Yellow tail/Fusiliers Kg 22 Bonito/tuna/skipjack tuna Kg 23 Mackerel Kg 24 Trevally Kg 25 Indian Mackerel Kg 26 Anchovy Kg 27 Milk Fish Kg 28 Snake head Kg 29 Mozambique Tilapia Kg 30 Common Carp Kg 31 Catfish Kg 21 From own production, gift, etc 74 IV.1. CONSUMPTIONS OF FOOD, BEVERAGES, AND TOBACCO DURING THE LAST WEEK From Buying (cash/credit) ID No Detail (1) (2) From own production, gift, etc Unit standard Amount (0,00) Value (Rp) Amount (0,00) Value (Rp) (5) (6) (7) Amount of consumption Amount (4)+(6) (0,00) (8) (3) (4) 32 Barramundi Kg 33 Baronang Kg 34 Others Kg , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 2) Shrimp and other seafood/fresh water fish 35 Shrimp Kg 36 Squid Kg 37 Crab Kg 38 Mussel Kg 39 Others, please mention Kg 3) Nilai (5)+(7) (Rp) (9) Salted/preserved fish 40 Trevally Ons 41 Mackerel Ons 42 frigate mackerel/tuna/skipjack tuna Ons 43 Anchovy Ons 44 Yellow stripe trevally Ons 45 Three spot gourami Ons 75 IV.1, CONSUMPTIONS OF FOOD, BEVERAGES, AND TOBACCO DURING THE LAST WEEK From Buying (cash/credit) ID No Detail (1) (2) From own production, gift, etc Unit standard Amount (0,00) Value (Rp) Amount (0,00) Value (Rp) (5) (6) (7) Amount of consumption Amount (4)+(6) (0,00) (8) (3) (4) 46 Milk fish Ons 47 Snakehead murrel Ons 48 Canned fish Ons 49 Others (please mention) Ons , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 4) Shrimp/other preserved fish 50 Dried shrimp Ons 51 Dried squid Ons 52 Others (please mention) Ons 53 Nilai (5)+(7) (Rp) (9) D. MEAT 1) Fresh meat 54 Beef Kg 55 Buffalo meat Kg 56 Lamb Kg 57 Pork Kg 58 Broiler Kg 59 Domestic chicken Kg 76 IV.1. CONSUMPTIONS OF FOOD, BEVERAGES, AND TOBACCO DURING THE LAST WEEK From Buying (cash/credit) ID No Detail (1) (2) From own production, gift, etc Unit standard Amount (0,00) Value (Rp) Amount (0,00) Value (Rp) (5) (6) (7) Amount of consumption Amount (4)+(6) (0,00) (8) (3) (4) 60 Other poultry, please mention Kg 61 Other meat (please mention) Kg , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 2) Preserved Meat 62 Beef Jerky Kg 63 Beef Floss Ons 64 Corned beef Kg 65 Others (please mention) Kg 3) Others 66 Liver Kg 67 Offal (internal organs other than liver) Kg 68 Trimmed Fat meat (tetelan) Kg 69 Bones Kg 70 Others (please mention) Kg , , , Kg , 71 72 E. Nilai (5)+(7) (Rp) (9) EGG AND MILK Layers egg 77 IV. CONSUMPTIONS OF FOOD, BEVERAGES, AND TOBACCO DURING THE LAST WEEK From Buying (cash/credit) ID No Detail (1) (2) From own production, gift, etc Unit standard Amount (0,00) Value (Rp) Amount (0,00) Value (Rp) (5) (6) (7) Amount of consumption Amount (4)+(6) (0,00) (8) (3) (4) 73 Domestic chicken egg number 74 Duck egg number 75 Bird egg number 76 Other egg number 77 Salted duck egg number 78 Fresh Milk 79 Pasteurized milk 250ml*) 80 Condensed milk 397gr**) 81 Powdered Milk Kg 82 Powdered milk for baby 83 Cheese Ons 84 Other dairy product (please mention) Ons , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 85 F. 86 Spinach Kg 87 Kangkong/water spinach Kg 88 Cauliflower/Cabbage Kg , , , , , , , , , Litre 400gr*) Nilai (5)+(7) (Rp) (9) VEGETABLES *) Boxes **) Small can ***) Small can 78 IV. 1. CONSUMPTIONS OF FOOD, BEVERAGES, AND TOBACCO DURING THE LAST WEEK From Buying (cash/credit) ID No Detail (1) (2) From own production, gift, etc Unit standard Amount (0,00) Value (Rp) Amount (0,00) Value (Rp) (5) (6) (7) (3) (4) 89 China cabbage Kg 90 Mustard greens Kg 91 Green bean Kg 92 Long beans Kg 93 Tomato Ons 94 Carrot Kg 95 Cucumber Kg 96 Cassava leaves Kg 97 Eggplant Kg 98 Bean sprout Kg 99 Pumpkin Kg 100 Baby corn Ons 101 Sup/mixed vegetables Pack 102 Tamarind dish/ Spicy coconut soup Pack 103 Jackfruit Kg 104 Pawpaw Kg 105 Mushroom Ons , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Amount of consumption Amount (4)+(6) (0,00) (8) Nilai (5)+(7) (Rp) (9) , , , , , , , , , , , , , , , , , 79 IV.1. CONSUMPTIONS OF FOOD, BEVERAGES, AND TOBACCO DURING THE LAST WEEK From Buying (cash/credit) ID No Detail (1) (2) From own production, gift, etc Unit standard Amount (0,00) Value (Rp) Amount (0,00) Value (Rp) (5) (6) (7) Amount of consumption Amount (4)+(6) (0,00) (8) (3) (4) 106 Stink bean Ons 107 Jengkol (Phithecolobium) Kg 108 Shallot Ons 109 Garlic Ons 110 Red chili Ons 111 Green Chili Ons 112 Birds eye chili (cabe rawit) Ons 113 Canned vegetables Kg 114 Others, please mention Kg , , , , , , , , , , , , , , , , , , , , , , , , , , , 115 G. 116 Groundnut (peanut) without shell Kg 117 Ground nut (peanut) with shell Kg 118 Soy bean Kg 119 Mung bean Kg 120 Cashew nut ons 121 Other nuts, please mention Kg , , , , , , , , , , , , , , , , , , Nilai (5)+(7) (Rp) (9) LEGUMES/NUTS 80 IV.1. CONSUMPTIONS OF FOOD, BEVERAGES, AND TOBACCO DURING THE LAST WEEK From Buying (cash/credit) ID No Detail (1) (2) From own production, gift, etc Unit standard Amount (0,00) Value (Rp) Amount (0,00) Value (Rp) (5) (6) (7) Amount of consumption Amount (4)+(6) (0,00) (8) (3) (4) 122 Tofu (bean curd) Kg 123 Tempeh (Soy bean cake) Kg 124 Tauco (salted yellow soy beans) Ons 125 Oncom (fermented soy bean pressed cake) Ons , , , , , , , , , , , , 126 Others, please mention Ons , , , 127 H. 128 Orange Kg 129 Mango Kg 130 Apple Kg 131 Avocado Kg 132 Rambutan Kg 133 Lanzones (Duku) Kg 134 Durian Kg 135 snake fruit Kg 136 Pineapple Kg 137 Ambon banana Kg , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , Nilai (5)+(7) (Rp) (9) FRUITS 81 IV.1. CONSUMPTIONS OF FOOD, BEVERAGES, AND TOBACCO DURING THE LAST WEEK From Buying (cash/credit) ID No Detail (1) (2) From own production, gift, etc Unit standard Amount (0,00) Value (Rp) Amount (0,00) Value (Rp) (5) (6) (7) Amount of consumption Amount (4)+(6) (0,00) (8) (3) (4) 138 King banana Kg 139 Other banana, please mention Kg 140 Papaya Kg 141 Water apple (Jambu fruit) Kg 142 Sapodilla (sawo) Kg 143 Star fruit Kg 144 Great hog plum (kedondong) Kg 145 Water melon Kg 146 Rock melon Kg 147 Jackfruit Kg 148 Tomato Kg 149 Canned fruit Kg 150 Others (please mention) Kg , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 151 I. 152 Coconut oil Liter 153 Corn oil Liter , , , , , , Nilai (5)+(7) (Rp) (9) OIL & FAT 82 IV.1. CONSUMPTIONS OF FOOD, BEVERAGES, AND TOBACCO DURING THE LAST WEEK From Buying (cash/credit) ID No Detail (1) (2) From own production, gift, etc Amount of consumption Unit standard Amount (0,00) Value (Rp) Amount (0,00) Value (Rp) (3) (4) (5) (6) (7) Liter , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 154 Other cooking oil 155 Coconut 156 Margarine Ons 157 Others (please mention) Liter 158 J. 159 Cane sugar Ons 160 Brown sugar (including liquid sugar) Ons 161 Tea Ons 162 Coffee (powder, bean, instant) Ons 163 Instant chocolate 150gr 164 Chocolate powder Ons 165 Syrup 166 Others (please mention) 167 K. 168 Salt Ons 169 Candle nuts Ons Number Amount (4)+(6) (0,00) (8) Nilai (5)+(7) (Rp) (9) BEVERAGES INGREDIENTS 620ml*) SPICES 83 IV.1. CONSUMPTIONS OF FOOD, BEVERAGES, AND TOBACCO DURING THE LAST WEEK From Buying (cash/credit) ID No Detail (1) (2) From own production, gift, etc Unit standard Amount (0,00) Value (Rp) Amount (0,00) Value (Rp) (5) (6) (7) Amount of consumption Amount (4)+(6) (0,00) (8) (3) (4) 170 Coriander seeds Ons 171 Pepper ons 172 Tamarind Ons 173 Nutmeg ons 174 Clove ons 175 Shrimp paste ons 176 Soy sauce 177 Flavor enhancer (MSG) 178 Chili/tomato sauce 179 Prepared spices/packed , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , 140ml *) Gram 140 ml *) Ons ………… … 180 Others spices (please mention) 181 L. 182 Crackers Ons 183 Melinjo Nut Crackers Ons 184 Wet noodles Kg 185 Instant noodle Nilai (5)+(7) (Rp) (9) OTHER CONSUMPTION 80gr**) 84 IV.1. CONSUMPTIONS OF FOOD, BEVERAGES, AND TOBACCO DURING THE LAST WEEK From Buying (cash/credit) ID No Detail (1) Amount (0,00) Value (Rp) Amount (0,00) Value (Rp) (5) (6) , (7) Amount of consumption Amount (4)+(6) (0,00) (8) , Rice noodle Ons (4) , 187 Macaroni/ dried noodle ons , , , Pack (7 gr) 150 gr*) , , , , , , Jelly (3) From own production, gift, etc 186 188 (2) Unit standard 189 Baby food (packaging) 190 Others , , , M. , , , 191 PROCESSED FOOD AND BEVERAGES 192 White bread Small pack , , , 193 Sweet bread/other bread Slice , , , 194 Dried cake/biscuit/crispy rolls Ons , , , 195 Traditional rice cakes number , , , 196 Fried fritters Slice , , , 197 Mung bean porridge Serve , , , 198 Gado-gado/ketoprak/pecel (Vegetable salad with peanut sauce) Serve , , , 199 Mixed rice/rice plate Serve , , , 200 Fried rice Serve , , , 201 Rice , , , Serve Nilai (5)+(7) (Rp) (9) 85 IV. 1. CONSUMPTIONS OF FOOD, BEVERAGES, AND TOBACCO DURING THE LAST WEEK From Buying (cash/credit) ID No Detail (1) (2) From own production, gift, etc Unit standard Amount (0,00) Value (Rp) Amount (0,00) Value (Rp) (5) (6) (7) Amount of consumption Amount (4)+(6) (0,00) (8) (3) (4) 202 Rice rolls in coconut soup serve 203 Soto/gule/rawon/cincang (meat soups) serve , , , , , , 204 Satay/tongseng (lamb soup) Serve/ 5 sticks , , , 205 Meatball/boiled/fried noodles serve 206 Instant noodles serve 207 Kid snacks/chips ons 208 Fish (fried/grilled/presto/steamed) slice 209 Chicken/meat (fried/grilled/etc) slice 210 Ice cream Small bowl , , , , , , , , , , , , , , , , , , 211 Other ice 299 ml 212 Other prepared food 213 Soft drink with soda , , , , , , , , , , , , , , , 200ml*) Nilai (5)+(7) (Rp) (9) Non-alcoholic beverages 214 Bottled water 500ml**) 215 Bottled tea 200ml*) 86 IV.1. CONSUMPTIONS OF FOOD, BEVERAGES, AND TOBACCO DURING THE LAST WEEK From Buying (cash/credit) ID No Detail (1) Amount (0,00) Value (Rp) Amount (0,00) Value (Rp) (5) (6) (7) Amount of consumption Amount (4)+(6) (0,00) (8) (3) (4) Fruit juice 200ml*) 217 Health/energy drinks 100ml 218 Other drinks (coffee, coffee milk, chocolate milk, etc) , , , , , , , , , 219 Alcohol drinks/liquor 220 Beer 620ml**) 221 Wine 620ml**) 222 Other alcohol/liquor 620ml**) , , , , , , , , , , , , 223 N. 224 Filtered Clove (kretek) cigarette Sticks 225 Clove (kretek) cigarette – no filter Sticks 226 White cigarettes Sticks 227 Tobacco , , , , , , , , , , , , 228 Beetle nut 229 Others, please mention , , , 216 (2) From own production, gift, etc Unit standard cup Nilai (5)+(7) (Rp) (9) TOBACCO AND BEETLE NUT Ons 87 IV.2. NON-FOOD EXPENDITURE DURING THE LAST ONE AND TWELVE MONTHS No. (1) 230 231 232 233 Items (2) Ownership status of the house that the household live in 1. Owned 4. Rent-free 2. Leased 5. Government/company provided 3. Rented 6. Other If owned/rent-free, the predicted rent value per month: Rp……… If leased, Duration of the last leasing agreement ….year Lease value: Rp……… Lease values a month Rp……….. a. b. c. If rented, the predicted rent value per month: Rp……… 235 If government/company provided or other, the predicted rent value per month: Rp……… 237 238 Last 12 Months (4) A. Housing and Household Facilities 234 236 Amount in Rupiah Last One Month (3) House maintenance and light rehabilitation (wood painting, wall painting, roof tile, windows glass, etc, including the fee for the workman. Electricity The amount: a. Last one month: ……………….. kwh b. Last 12 months: ……………….. kwh Note: if the household do not know the usage in kwh (for example non-PLN user), the formula to calculate is: total watt multiplies with number of hours in a month and divided by 1000 VALUE: 88 IV.2. NON-FOOD EXPENDITURE DURING THE LAST ONE AND TWLEVE MONTHS (CONTINUE) No. Items (1) 239 (2) 240 241 242 243 244 245 246 247 248 249 250 251 252 Amount in Rupiah Last One Month (3) Last 12 Months (4) Telephone Water (piped water/purchase) Amount: a. In the last one month: ………………m3 b. In the last 12 months : ………………m3 Value : LPG Amount: a. In the last one month: ………………kg b. In the last 12 months : ………………kg Value : City Gas Amount: a. In the last one month: ………………m3 b. In the last 12 months : ………………m3 Value : Kerosene Amount: a. In the last one month: ………………liter b. In the last 12 months : ……………… liter Value : Generator a. Type and the amount of fuel used: 1. Gasoline 2. Diesel 3. Kerosene Amount: a. In the last one month: ………………liter b. In the last 12 months : ……………… liter Value : b. Lubricant: Amount: a. In the last one month: ………………liter b. In the last 12 months : ……………… liter Value : c. iii. Maintenance and rehabilitation 89 IV.2. NON-FOOD EXPENDITURE DURING THE LAST ONE AND TWLEVE MONTHS (CONTINUE) No. (1) 253 Items (2) 254 Charcoal Amount: a. In the last one month: ………………kg b. In the last 12 months : ……………… kg Value : 255 Firewood and other kinds of fuel 256 Others (batteries, matches, bulb, air freshener, mosquito killer, floor cleaner, etc) 257 B. Goods and Services 258 Body soap, tooth paste, tooth brush, and shampoo 259 Beauty products (perfume, deodorant, hair oil, face powder, nail cutter, braces, wig, lipstick, comb, etc) and sanitary napkins 260 Skin, facial, nail, and hair treatments (hair cut, curl, rebounding, cream bath, body scrubs, spa, etc) Amount in Rupiah Last One Month Last 12 Months (3) (4) 90 IV.2. NON-FOOD EXPENDITURE DURING THE LAST ONE AND TWLEVE MONTHS (CONTINUE) No. Items (1) 261 Public hospital (2) 262 Private hospital 263 Medical Doctor practice 264 Puskesmas (Health Center) 265 Sub Health-Centre 266 Maternal and Child Clinic/Clinic 267 Posyandu (Integrated Health Services Post)/Cadre 268 Midwife/paramedic/practice nurses 269 Traditional healer/Shinshe (Chinese traditional healer) 270 Medicine with prescription 271 Own treatment/ medicine without prescription/ herbs 272 Pregnancy check up 273 Delivery 274 Immunization for children under 5 years of age 275 Medical check up and contraceptive 276 Other health maintenance expenditure (vitamin, herb, massage, fitness, etc) 277 278 Education/courses expenditure Admission Tuition and contribution for parent association 279 Other fee (non-scholastic courses, test, vocational class, etc) 280 Textbooks, photocopy for teaching materials 281 Stationery (ballpoint, pencil, eraser, ruler, calculator, etc) 282 Course fee Amount in Rupiah Last One Month Last 12 Months (3) (4) 91 IV.2. NON-FOOD EXPENDITURE DURING THE LAST ONE AND TWLEVE MONTHS (CONTINUE) No. Items (1) 283 (2) News, magazine, books and stationary (excluding for schooling), including magazine/book rent 284 Post, telegram, public phone and postage material including pager fee 286 Fuel, light rehabilitation, and motor vehicle maintenance a. Gasoline/pertamax: in the last one month: …………… Liter in the last 12 months: …………… Liter Value: 287 b. Diesel fuel 285 Amount in Rupiah Last One Month Last 12 Months (3) (4) in the last one month: …………… Liter in the last 12 months: …………… Liter 288 Value: 289 c. Lubricant: in the last one month: …………… Liter in the last 12 months: …………… Liter 290 Amount: 291 Rehabilitation and motor vehicle maintenance (brake fluid, battery, clutch, canvas brakes, etc) 292 Transportation/public transportation (bus, train, air plain, boat, rickshaw, parking fees, toll fee, etc) 293 294 Hotel, accommodation, theater, drama, sport, cable subscription, and other recreations (excluding transport and to purchase good for recreation) Housemaid, guard, gardener/yardman, driver (salary or wage) 295 Other goods (tissue, camphor, banana leaves, coconut leaves, stick for sate, etc) 296 Other services (ID, driver license, birth certificate, photo copy, photo, etc) 92 IV.2. NON-FOOD EXPENDITURE DURING THE LAST ONE AND TWLEVE MONTHS (CONTINUE) No. (1) 297 Items (2) Amount in Rupiah Last One Month Last 12 Months (3) (4) C. Clothes, footwear, and headgear 289 Ready to wear clothes for adult men (coat, uniform, shirt, jacket, pants, t-shirt, underwear, etc) 299 Ready to wear clothes for adult women (uniform, dress, blouse, blazer, coat, skirt, sarong, scarf, underwear, etc) 300 Ready to wear clothes for children (uniform, shirt, pants, coat, t-shirt, underwear, pampers, etc) 301 Fabrics for men, women, and children (wool, polyester, cotton, silk, etc) 302 Tailor cost and cost for repairing cloths, sewing thread, and other sewing kits 303 Footwear for adult male (shoes, sandal, socks, etc) 304 Footwear for adult female (shoes, sandal, socks, etc) 305 Footwear for children (shoes, sandal, socks, etc) 306 Headgear for men, women, and children (hats, scarf, fez, etc) 307 Detergent (brick, powder, cream, and liquid) 308 Clothing care (softener, bleach, etc) 309 Others (towels, belts, shoe polish, tie, laundry, clothes hanger, etc) 93 IV.2. NON-FOOD EXPENDITURE DURING THE LAST ONE AND TWLEVE MONTHS (CONTINUE) No. (1) 310 Items (2) D. Durable Goods 311 Furniture (tables, chairs, beds, wardrobe, larder, mirror, baby bed, etc) 312 Household appliance (sewing machine, refrigerator, fan, washing machine, air conditioner, etc) 313 Household fittings (mattress, pillow, bed sheet, table sheet, ashtray, pillowcase, blanket, mat, rug, curtain, etc 314 316 Other home appliance (iron, broom, scissor, knife, machete/chopping knife, hoe, saw, vacuum cleaner, clothes hanger, etc) Kitchen utensils/cutlery (plate rack, stove, pot, kitchen knife, frying pan, spoon, plate, glass, mixer, rice cooker, blender, oven, microwave, glassware/ceramics/plastic utensils, etc) Decorative items (wall decoration, aquarium, ceramics, onyx, porcelain, granite, and wood decoration etc) 317 Home appliance / utensil reparation 318 Watch, clock, camera, eyeglasses, video camera, other optic appliances and the reparation 319 Umbrella, bags, luggage, and the accessories 320 Jewelry from metal or gems (gold, diamond, pearl, etc) and the reparation 321 Children toys and the reparation and cheap imitation jewelry 322 Television, radio, video, DVD, cassette, radio cassette, guitar, piano/organ, computer and the reparation 323 Sports equipment (chest, racket, ball, net, stick, bet, swimsuit, roller skates, soccer shoes, etc) 315 Amount in Rupiah Last One Month Last 12 Months (3) (4) 324 Vehicles (car, motorcycle, bicycle, etc) and major reparation 325 Pets and plants including the maintenance cost 326 Other durable goods (electricity/telephone/water piping installation, baby stroller, etc) and the reparation 94 IV.2. NON-FOOD EXPENDITURE DURING THE LAST ONE AND TWLEVE MONTHS (CONTINUE) No. (1) 327 328 Items (2) E. Taxes, charges, and insurance Property tax (PBB) 329 TV retribution and alike 330 Vehicle tax 331 Charge/retribution (RT/RW contribution, garbage, security, cemetery, parking, etc) 332 Health insurance, life insurance and loss insurance 333 334 F. Festive and ceremony expenditure 336 Wedding party (rent cost for bridal equipment, chairs, tent, plates, services like fee for bridal make-up, the headman, building rental cost) Circumcision and birthday party (fee for the medical doctor/paramedic/ shaman circumcision, snacks, ribbon/balloon for room accessory, building rental cost, entertainment) Religious ceremonies (to rent chairs and tent, etc) 337 Cost of pilgrimage (naik haji) 338 Other religious and traditional ceremonies (to pay the ustadz (teacher), pastor, offerings/sesajen, etc) 339 Funeral cost (death body wash, gravediggers, coffin, crematorium cost, etc) 335 Amount in Rupiah Last One Month Last 12 Months (3) (4) 95 IV. 3. HOUSEHOLDS AVERAGE EXPENDITURE IN A MONTH ( IN RUPIAH) Type of expenses One week No (1) 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 (2) Cereals (IV.1 A) Tuber (IV. 1 B) Fish (IV. 1 C) Meat (IV. 1 D) Egg and Milk (IV. 1 E) Vegetables (IV. 1 F) Pulses (IV. 1 G) Fruits (IV. 1 H) Oil and Fat (IV. 1 I) Beverages materials (IV. 1 J) Spices (IV. 1 K) Other consumptions (IV. 1 L) Prepared foods and beverages (IV. 1 M) Alcohols drink (IV. 1 N) Tobacco and betel (IV. 1 O) Sub Total (1 to 15) Sub total (16) x 30 7 18 Housing and Household facility (IV. 2 A) 19 Goods and Services (IV. 2 B) 20 Clothes, Footwear, and Headgear (IV. 2 C) 21 Durable goods (IV. 2 D) 22 Tax and Insurance (IV. 2 E) 23 Festivities and ceremonies (IV. 2 F) 24 Average of monthly household expenses(17 to 23) *) content of serial number 18 to 23 in Column 4 same as the content of serial number 18 to 23 in Column 5 divided 12 (3) Monthly average *) 12 months (4) (5) 96 V. INCOME, REVENUE AND EXPENDITURE OF NON CONSUMPTION DURING 12 MONTHS AGO (IN RUPIAH) 1. In kind and in cash of wages/salary 2. Income from agriculture business a. Food and non-food farming b. Other agriculture (Animal husbandry, poultry, various livestock, fishery, forestry) 3. Income from non agriculture business 4. Income not from wage/salary and business a. Imputed of house rents b. Other (interest, land rental, contract, pension, office scholarship, claimed life insurance, dividend, claimed lost and accident, income of nonbusiness, ) 5. Expenses and transferred revenue Expenses: (transfer, donation, gift, grant, and aid) Revenue: (received transfer, inheritance, donation, gift and aid) 6. Other expenses and revenue Expenses: a. Purchased of bond/gold/jewelry, immovable goods including repairs of building b. Others (saving, insurance premium, lend/paid of owe, down payment, saving club contribution, etc 7. Revenue: a. Selling bond/gold/jewelry/immovable goods, secondhand goods b. Others (saving, claimed life insurance, saving club gain, borrowing, pawning, etc) Income/revenue of household (Number of income/revenue, details 1 to 6 – total expenses, details 5 to 6) 8. Average income/revenue of household in a month (details 7 : 12) 97 VI. NOTE 98 S. MODULE QUESTIONNAIRE ON SOCIAL SAFETY NET PROGRAM SUSENAS SSN99.RT REPUBLIC OF INDONESIA CENTRAL BUREAU OF STATISTICS 1999 SOCIAL SAFETY NET SURVEY HOUSEHOLD SOCIO-ECONOMIC AND HOUSEHOLD MEMBERS LISTING Confidential I. IDENTIFICATION 01 Province 02 District/City *) 03 Sub-district 04 Village/ Kelurahan *) 05 Village/political district classification (urban vs rural) 06 Enumeration area number 07 Segments group number 08 Segment number 09 Sample code number 10 Serial number of Sample household 11. Village classification 01 The name of household head 02. Number of household members 03 Number of household members aged 5-29 years old and in school 1. Urban 2. Rural 1. Less developed village Fill in by 2. Developed village CBS II. HOUSEHOLD CHARACTERISTICS 04 Number of household members aged 5-29 years old and no longer in school 05 Number of women aged 15-49 years old, married, and currently using contraceptive method III. ENUMERATING CHARACTERISTICS Name and employment identity number of 05 Name and employment identity number of supervisor enumerator 02 Enumerators occupation: 06 Supervisors occupation 1. Provincial staff 3. Sub district staff 1. Provincial staff 3. Sub district staff 2. District staff 4. Hired worker 2. District staff 4. Hired worker 03 Date of enumeration 07 Date of supervision 04 Signature of enumerator 08 Signature of supervisor *) Cross out inapplicable category 01 99 IV. HOUSEHOLD MEMBERS EDUCATION AND HEALTH CHARACTERISTICS Taken from List of VSEN99.K Block IV A (column 1,2,4 and 5) Serial number Name of Household Members (1) 01 02 03 04 05 06 07 08 09 10 (2) Sex: M F 1 2 (3) Code of column 6: [level of education] 1. Primary School/MI 2. Junior Secondary School/MTs 3. Senior Secondary School/MA 4. Academy/university Household members aged 5 – 29 years old Age (year) (4) School Participation Not yet/none 1 Î[K. 12) In school 2 Î [K. 6] No longer in school 3 Î [K. 11] (5) Level of Education (code) Did you get scholarship which started year 98/99? Yes 1 No 2 [K. 12] Source of scholarship (code) The monthly amount of scholarship (in thousand rupiah) How do you get the scholarship? (code) Î [K.12] If K.5=3, the reason no longer in school (code) (6) (7) (8) (9) (10) (11) Codes for Column 8: [Source of Scholarship] 1. Government JPS (= Social Safety Net) 2. Government Non-JPS 3. GN-OTA (Foster Parents National Movement) 4. Private 5. Others (foster parents, individual, etc) Codes for Column 10: [Scholarship funding] 1. Directly given at Postal Office 2. Giving power of attorney to the school teacher/school committee 3. Directly from the school 4. BNI Bank 5. Others 100 Did you have any health complaints during the last three months? Yes 1 No 2 Î K.20] Did you go for treatment? Yes, Out patient 1 Yes, In patient 2 No 0 Î [K18] (12) (13) IV. HOUSEHOLD MEMBERS EDUCATION AND HEALTH CHARACTERISTICS (continued) For All of Household Members Women Aged 15 – 49 years old and married which also current user of contraceptive For Out Patient/In Patient, the last treatment If K.13=1 or 2, the place of treatment (code) If K.14 =5 or 6 Î [K.18] If K.14=1 to 4, did you use the Health Cards? Yes 1 No 2 Î [K18] Were you charged for fee Yes 1 No 2 Î [K20] Expenditure (Rp 000) (14) (15) (16) (17) Codes for Column 11: [Reason no longer in school] 01. Age 02. Expensive 03. Married 04. Take care of household 05. Enough of education 06. The school too far 07. Unintelligent/not capable 08. Helping family /working 09. Parents lost their job 10. Parents income is not enough 11. Others Asked to pregnant women If the treatment place is Private hospital/BUMN/Others, or not using a Health Cards facility (K.14=5 or 6 or K.15=2) Source Cost out of expenditure patient/ In patient (18) Codes for Column 14, 23, and 27 [Place of treatment./in patient/FP/Pregnancy examination] 1. Government Hospital 2. Puskesmas (Health center)/ Pustu (Sub Health-Center) 3. Polindes (Village Maternity Clinic) 4. Posyandu (Integrated Service Post) 5. Private hospital /BUMN (State Owned Corporation) 6. Others (19) When did you start using the last method ? (code) Was the last method that you used your own choice? Yes 1 Î [K.23] No 2 Who advised you? (code) (20) (21) (22) Source to obtain the method (code) If K.23=5 or 6 Î [K.31] If K.23=1 to 4, did you use the Health Cards? Yes 1 No 2 Î [K31] Were you charged for fee? (23) (24) (25) Yes 1 Î [K30] No 2 Î [K33] Codes for Column 18,31, and 37 [Sources of Expenditure] Respondent may select more than one option 1. Household 2. Health Insurance 4. Certificate of Poverty 8. Others Codes for Column 20: [Use of contraceptive/the last method used] 1. After August 31, 1998 2. Before September 1, 1998 Source Financing and FP cost/ pregnancy examination Woman giving birth after August 31, 1998 Pregnant woman/post-natal women and children < 3 years 101 Did you receive pregnancy examinatio ns? Yes 1 Î [K.33] No 2 (26) Place of pregnanc y cy examinat ion (code) If K.27=5 or 6 [K.31] If K.27=1 to 4, did you use Health Card for pregnancy examination? Yes 1 No 2 Î[K.31] Were you charged for fee? Yes 1 No 2 ! [K33] (27) (28) (29) Codes for column 22: [Person who give an advised, [Place of delivery] 1. Doctor 2. Health workers/Midwife 3. Family Planning workers 4. Village officer 5. Husband 6. Relatives 7. Others If K25 or K29=1, the cost of last examinati on (Rp 000) (30) If the examination place is Private hospital/BUMN/Others, or not using a Health Card facility (K.27=5 or 6/ K24 or K.28=2) Source The cost of of last financing examination (Rp 000) (31) (32) Codes for Column 33: [Place of delivery] 1. Government hospital 2. Puskemas/Pustu 3. Polindes (Village Maternity Clinic) 4. Private hospital 5. Maternity hospital/Maternity house 6. Private Midwife Practice 7. Traditional Birth Attendant 8. Others Place of delivery (code) If K.33=4 to 8 Î [K.37] (33) Did you use Health Card facility? Yes 1 No 2 Î [K37] Were you charged for fee? Yes 1 No 2 Î [K.39] (34) (35) If K.35=1, amount of expenditu re? (Rp 000) (36) If K.33=4 to 8/ if not using Health Card facility [K.34=2) Source of financin g for delivery (code) (37) Codes for Column 40: [Kind of Supplementary Food Program] 1. Food 2. Vitamin 3. Food & Vitamin Cost of delivery (Rp 000) After August 31, 98 did you receive Supplementary Food Program (PMT) Yes 1 No 2 (other HH member) (38) (39) Kind of food received (code) Where did you get the Supplem entary Food Program ? (code) (40) (41) Codes for Column 41: [Supplier of Supplementary Food Program] Respondent may select more than one option 1. Puskesmas 2. Polindes 4. Posyandu 8. Others 102 V. SOCIO ECONOMIC CONDITIONS OF HOUSEHOLD (To be asked to Household Head/ Wife/ Husband of Household Head) A. HEALTH 1.a. Did the household get information about Health Card? Yes 1 No 2 Î go to [ Q. 2.a ] b. From whom? [Please fill in code 1 if Yes, code 0 if Not] 1. Village head/Village official 2. Puskesmas/Midwife in the village/”PLKB” ( Family Planning Field Workers) 3. Mass Media (TV, Radio, Newspaper) 4. Neighbor/relative 5. Others (elaborate …………………..) c. What do you know about Health Card? [Please fill in code 1 if Yes, code 0 if Not] The answer do not read it in front of respondent 1. Free treatment for poor people at the Puskesmas/Pustu/Polindes/ Midwife in the village 2. Free pregnancy examination for poor people at the Puskesmas/Pustu/Polindes/ Midwife in the village 3. Free childbirth for poor people at the Puskesmas/Pustu/Polindes/ Midwife in the village 4. Giving supplementary food for pregnancy woman and “batita” (children under three years) 2. a. Does the household having a Health Card? Yes 1 No 2 Î [R.4] b. How did it obtain the card? 1. Given by village officer/health officer 2. Requested to village officer/health officer c. Did you get it after August 31, 1998? Yes 1 No 2 3.a. Did you use Health Card for treatment after August 31, 1998? Yes, always 1 Î [R4] Yes, sometimes 2 Never 3 b. If Q.3.a = 2 or 3, why? [Please fill in code 1, if yes, code 0 if no] 1. Place of treatment too far 2. Expensive transportation 3. No daily service 4. The service is not good enough 5. Have to pay 6. Seldom/ never get sick 7. Afraid to go to Medical Service 8. Others c. If Q.3.b coded 1 more than one, the main is (please fill in as appropriated with code Q.3.b) B. EDUCATION [To be asked if there is a household member aged 5-29 years old] 4. If Block IV Column 5 there was a household members coded 2, did the household have problem in paying education in year 1998/1999? Yes -1 No -2 Î [Q.6] 5. How to solve the problem: [Please fill in code 1 if yes, code 0 if no] a. Postpone the tuition fee b. Borrowed c. Ask for aid/scholarship d. Sold/pawned goods e. Try to have extra income f. Requested Certificate of Poverty from village head g. Others 6. If Block IV Column 5 there was a household members coded 1 or 3, did you really want to pay him/her to go to school? 1. Yes, if get the funding/aid 2. Yes, if the domestic economy getting better 3. Yes, because other reason 4. No C. ECONOMY 7. Was there any income generating program in the last year? Yes -1 No -2 Dont know -0 8. a. Was there any household member who joined the income generating Program in the last 6 months? Yes -1 No -2 Î [Q.14] b. If there was, number of household members participating: Male:…………..persons Female: ………… persons 9. Number of man-days participated income generating Programs in the last 6 Sep Oct Nov Dec Jan Feb Total 10. The activity of income generating Programs joined: [Please fill in code 1 if yes, code 0 if no] a. Repairing river bank b. Cleaning gutter c. Re-constructing roads d. Cultivating unused land e. Others (elaborate……………….) 11. Average wage received per person per day: Rp. ………….. 12. Were there any wages received in form of commodities? Yes 1 No 2 Î [Q.15] 103 13. Kind of commodities received: 1. Staple food Î [Q.15] 2. Non staple food Î [Q.1] 14. If Q.8.a=2, main reason did not join income generating Program: 1. Small payment 4. Not selected 2. The location too far 5. No need 3. Overload work 6. Don’t know 15. Does this household receive subsidies program aid/clothing distribution/food / staple food in the last 6 months? 1. Yes, free 3. Yes, both (free and cheap purchase 2. Yes, cheap purchase 4. No Î Q.17] 16. If Q.15 coded 1 to 3; a. How many times did you receive this aid during the past 6 months? ………times b. Donors: 1. Government 4. Self-supporting 2. private/individual 0. Don’t know Note: respondent may select more than one option c. If you received the aid from “Self-supporting”, through which activity was this done? [please fill in code 1 if yes, code 0 if no] 1. Free/selling cheap staple food 3. “Lumbung desa”/village rice barn 2. Collecting rice 4. Other 17. Were there any self-supporting Community activities in this village (during the last one month). [Please fill in code 1 if yes, code 2 if no, or code 0 for don’t know] a. Free/sold cheap staple food e. Income generating activity b. Giving scholarship f. Skill training c. Distributed second-hand clothes g. Others d. Cultivated unused land 18. Possession of valuable goods at time of enumeration and purchase/sale of valuable goods during the last 6 months [Please fill in 1 if yes, code 0 if no] Possessed Purchased Sold/Pawned a. Sewing machine a b. Radio/tape recorder b c. TV c d. Refrigerator d e. Jewelry/gold/gems stone e f. parabolic antenna f g. Bicycle/ boat g h. Motor cycle/ motor boat h i. Car/ motor ship i j. Land j k. House/yard k D. WELFARE STATUS 19. Does each member of the household (in general) pray, according to their own religion? Yes 1 No 2 20. Do all the members of the household in general eat (essential food) 2 times a day or more? Yes 1 No 2 21. Do all household members have different clothes for home, work/ school and traveling? Yes 1 No 2 22. Is the floor of the house made of non-soil/earth? Yes 1 No 2 23. If the children are sick and or Eligible Couples want to use contraceptive, do they go to the facility/health workers and get the medicine/modern method? Yes 1 No 2 E. PERCEPTION 24. Opinion about procedures to determine families/households who have the right to receive health and education aid: [Please fill in code 1 if yes, code Health Education 2 if no, or code 0 for don’t know] a. The statement is very clear b. Need to have door to door registration for families/households who will receive aid. c. To determine/select families/households who will receive the aid, there should be a discussion in advance d. The family/household who will receive the aid should be announced first 25. Opinion of respondent about recipient of health card/ staple food/ scholarship/ income generating Program: [Please fill in respondent opinion as well as for each kind of aid] a. Health Card c. Scholarship b. 9 staple food d. income generating Program Codes for respondents opinion: 1. All, appropriate 2. Majority, appropriate 3. Minority, appropriate 4. Not appropriate 5. Don’t know 26. If there are other parties who want to give aid (capital, staple food, etc), who will be a key person (honest person) to handle aid distribution? 1. Head of village/village official 2. School teacher/principal 3. Religious leader 4. Health center/ Puskesmas doctor 5. Midwife in the village 6. Others (elaborate………..) 104