DDI-PSE-PCBS-PECS-1997-V1.0 Palestinian Central Bureau of Statistics 2014-08-19 NADA Version 1.0 ( AUG 2014) Expenditure and Consumption Survey 1997 PECS مسح انفاق واستخلاك الاسرة 1997 PSE-PCBS-PECS-1997-V1.0 Palestinian Central Bureau of Statistics

The Core Funding Group represented by the representative office

Swiss Agency for Development and Cooperation

 © 2014, Palestinian Central Bureau of Statistics, reference period of data (1/1/1997-31/12/1997) NADA The Palestinian National Authority The Core Funding Group Swiss Agency for Development and Cooperation Division of Users Services Income/Expenditure/Household Survey [hh/ies] The Palestinian Central Bureau of Statistics (PCBS) conducted a household expenditure and consumption survey for the first time between 1/10/1995 and 30/9/1996, PCBS conducted a second survey between 1/1/1997 and 31/1/1997, PCBS conducted a third survey between 1/1/1998 and 31/1/1998, PCBS conducted a fourth survey between 15/3/2001 and 14/3/2002, PCBS conducted a fifth survey between 15/1/2004 and 14/1/2005. PCBS conducted a sixth survey between 15/1/2005 and 14/1/2006, PCBS conducted a seventh survey between 15/1/2006 and 14/1/2007. PCBS conducted the eigth survey between 15/1/2007 and 14/1/2008.PCBS conducted the ninght survey between 15/1/2008 and 14/1/2009.PCBS conducted the tenth survey between 15/1/2009 and 14/1/2010.PCBS conducted the eleventh survey between 15/1/2010 and 14/1/2011.PCBS conducted the twelveth survey between 15/1/2011 and 14/1/2012. The findings of these surveys constituted a solid database and enabled PCBS to publish detailed statistics regarding expenditure and consumption for the first time. The basic goal of this survey is to provide a necessary database for formulating national policies at various levels. This survey providing the contribution of the household sector to the Gross National Product (GNP), This survey determining the incidence of poverty, Providing weighted data which reflects the relative importance of the consumption items to be employed to determine the benchmark for rates and prices of items and services. The survey is a fundamental cornerstone in the process of studying the nutritional status in the Palestinian territory. Version 1.0 dataset for public distribution Expenditure ECONOMICS [1] The basic goal of this survey is to provide a necessary database for formulating national policies at various levels. This survey providing the contribution of the household sector to the Gross National Product (GNP), This survey determining the incidence of poverty, Providing weighted data which reflects the relative importance of the consumption items to be employed to determine the benchmark for rates and prices of items and services. The survey is a fundamental cornerstone in the process of studying the nutritional status in the Palestinian territory. Palestine The Data are representative at region level (West Bank, Gaza Strip), locality type (urban, rural, camp) . - Region (West Bank, Gaza Strip) - locality type (urban, rural, camp) Household, individual The survey covered all the Palestinian households who are a usual residence in the Palestinian Territory. Sample survey data [ssd] The PECS questionnaire consists of two main sections: First section: Certain articles / provisions of the form filled at the beginning of the month, and the remainder filled out at the end of the month. The questionnaire includes the following provisions: Cover sheet: It contains detailed and particulars of the family, date of visit, particular of the field/office work team, number/sex of the family members. Statement of the family members: Contains social, economic and demographic particulars of the selected family. Statement of the long-lasting commodities and income generation activities: Includes a number of basic and indispensable items (i.e., Livestock, or agricultural lands). Housing Characteristics: Includes information and data pertaining to the housing conditions, including type of house, number of rooms, ownership, rent, water, electricity supply, connection to the sewer system, source of cooking and heating fuel, and remoteness/proximity of the house to education and health facilities. Monthly and Annual Income: Data pertaining to the income of the family is collected from different sources at the end of the registration / recording period. Assistance and poverty: includes questions about household conditions and assistances that got through the the past month. Second section: The second section of the questionnaire includes a list of 55 consumption and expenditure groups itemized and serially numbered according to its importance to the family. Each of these groups contains important commodities. The number of commodities items in each for all groups stood at 667 commodities and services items. Groups 1-21 include food, drink, and cigarettes. Group 22 includes homemade commodities. Groups 23-45 include all items except for food, drink and cigarettes. Groups 50-55 include all of the long-lasting commodities. Data on each of these groups was collected over different intervals of time so as to reflect expenditure over a period of one full year, except the cars group the data of which was collected for three previous years. These data was abotained from the recording book which is covered a period of month for each household. PCBS The target population in this sample survey comprises all households living in the West Bank and Gaza Strip, excluding nomads and students. The sample design is a stratified two-stage design for households selected to be interviewed. At the first stage a sample of cells (PSUs) was selected from the PCBS master sample frame. At the second stage, a sample of households was selected after a complete household listing of the sampled cells. Sample Design Stratification Four levels of stratification have been made: Stratification by District. Stratification by place of residence which comprises: (a) Municipalities (b) Villages (c) Refugee Camps Stratification by locality size. Stratification by cell identification in that order. Sample Size The sample size is about 3,591 households allowing for non-response and related losses . Target cluster size The next important issue in the sample design is the target cluster size or “sample-take” which is the average number of households to be selected per PSU. In this survey, the sample take is around 10 households. Self-weighting design: At the first stage, clusters or “cells” have been selected with PPS probability proportional to estimated measure of size (Mi) for unit (I): Where the summation covers all clusters in the population; a-300 is the total number of selected clusters. It is highly desirable for the PECS to have a constant overall sampling rate (f), i.e. to have a self- weighting sample. This requires the second stage probability for the selection of households and persons within any sample cluster i to be as follows: Where b is a constant (independent of i) to be determined to obtain the required sample size, n =3,591 households. Since the measure of size are likely to differ from the actual number of households listed in any cluster i, the actual number of households selected with the above shall vary from one cluster to another and are presented as: Adding all clusters in the sample results in the required constant b, to achieve the target sample size n as: Hence to control the overall sample size, b is determined after completing the listing in all sample areas. The above procedure allows for variation in sample sizes bi at the level of individual clusters, in order to provide a self-weighting sample. Households within each sample cluster shall be selected systematically from the lists prepared for that purpose, using the sampling interval, Where: aNumber of cells in the sample (equals 360) Number of housing units in cell I Number of listed of households in cell I nProposed sample size (n= 3,591 HHs) bAverage sample take Sample take in cell I fSample rate First-stage sampling rate Second-stage sampling rate Which is fixed for each cluster but varies between clusters depending on the measure of size () with which the area was selected at the first stage. The sample-take must be allowed to vary depending on the actual number of households found after listing. However, provision must be made to avoid extreme variation in cluster sample size. This could be done by using the above procedure to compute the ratio for each cluster in the sample. If this ratio lies outside the range say 0.5 - 4.0, adjust , i.e. the interval to be applied for the selection of households in the cluster, so as to keep the ratio within the above range. Sample Rotation The total number of (480) cells have been divided into (24) groups (subsided sample), each one constituted of (20) cells. A sub-sample of (360) cells is used year round by a monthly sample constituted of two minor samples (30 cells). The survey includes independent cells and not cross section ones, each of these is formed from (300) households for each month (round). (Replication) LKJIHGFEDCBAMonth ×1 ×2 ×3 ×4 ×5 ×6 ×7 ×8 ×9 ×10 ×11 ×12 Estimations Procedure The sample is self-weighting by design. To estimate a given total Y for a given sub-population A, we introduce the following formula: But since W is constant for all j within i, then: the estimating formula becomes: Where, U YA = Estimated total for variable Y in sub-population A h = The sub-stratum within the estimation domain i = The sample PSU (cell) j = The unit of analysis or element A = Subset of elements possessing a given attribute, that is, belonging to a given sub- population A = Observed value of variable “y” for j-the element of i-the sample PSU in stratum h = Final (adjusted) sampling weight for the element is the unweighted PSU total within h for sub-population A The estimator for a given ratio for sub-population A is the following: (2) Where: U RA =Estimate for the ratio of two variables, Y/X, in sub-population A U XA = Estimated total for variable X in sub-population A, given by formula (1)B U YA = Estimated total for variable Y in sub-population A, also given by formula (1)B Means and proportions are special types of ratios. In the case of the mean, the variable X, in the denominator of the ratio, is defined to equal 1 for each element, so that denominator is the sum of weights in the sub-population. In the case of the proportion, the variable X in the denominator is also defined to equal 1 for all elements. In addition, the variable Y in the numerator is binomial and is defined to equal either 0 or 1, depending on the absence or presence of a specified attribute in the element observed. Calculation of Variance It is very important to calculate standard errors for the main survey estimates so that the user can have an idea of their reliability or precision. The variance calculation will use the method of ultimate clusters. Within any domain of estimation, for a sub-population A, and for a characteristic Y, the formulas are: (a) The variance of an estimator of a total is estimated by: (3) Where: (4) and: (5) The expression in (3) is an unbiased estimator of the variance. (b) The variance of an estimator of a ratio is estimated by: (6) Where: U U V (YA) and V(XA) are calculated according to formula (3); U XA is calculated according to formula (1); and U RA according to formula (2). Face-to-face [f2f] The PECS questionnaire consists of two main sections: First section: Certain articles / provisions of the form filled at the beginning of the month, and the remainder filled out at the end of the month. The questionnaire includes the following provisions: Cover sheet: It contains detailed and particulars of the family, date of visit, particular of the field/office work team, number/sex of the family members. Statement of the family members: Contains social, economic and demographic particulars of the selected family. Statement of the long-lasting commodities and income generation activities: Includes a number of basic and indispensable items (i.e., Livestock, or agricultural lands). Housing Characteristics: Includes information and data pertaining to the housing conditions, including type of house, number of rooms, ownership, rent, water, electricity supply, connection to the sewer system, source of cooking and heating fuel, and remoteness/proximity of the house to education and health facilities. Monthly and Annual Income: Data pertaining to the income of the family is collected from different sources at the end of the registration / recording period. Assistance and poverty: includes questions about household conditions and assistances that got through the the past month. Second section: The second section of the questionnaire includes a list of 55 consumption and expenditure groups itemized and serially numbered according to its importance to the family. Each of these groups contains important commodities. The number of commodities items in each for all groups stood at 667 commodities and services items. Groups 1-21 include food, drink, and cigarettes. Group 22 includes homemade commodities. Groups 23-45 include all items except for food, drink and cigarettes. Groups 50-55 include all of the long-lasting commodities. Data on each of these groups was collected over different intervals of time so as to reflect expenditure over a period of one full year, except the cars group the data of which was collected for three previous years. These data was abotained from the recording book which is covered a period of month for each household. Six teams of female interviewers, four in the West Bank and two in Gaza Strip carried out data collection. Each team consisted of a supervisor, a field editor, and 4-5 interviewers. Fieldwork teams were distributed to different districts according to sample allocation. All field staff received a training session combining general theoretical and practical components. Interviewers, supervisors and editors for the survey were selected from those who worked on PECS1. Fieldwork procedures and organization were designed to ensure adequate supervision and the collection of high quality data. To this end, several quality control measures were used though out fieldwork. An interviewer undertook between 120 and 150 household visits in a month. The households were asked to keep daily records in a diary during their recording month. The sample is self-weighting by design. To estimate a given total Y for a given sub-population A, we introduce the following formula: But since W is constant for all j within i, then: the estimating formula becomes: Where, U YA = Estimated total for variable Y in sub-population A h = The sub-stratum within the estimation domain i = The sample PSU (cell) j = The unit of analysis or element A = Subset of elements possessing a given attribute, that is, belonging to a given sub- population A = Observed value of variable “y” for j-the element of i-the sample PSU in stratum h = Final (adjusted) sampling weight for the element is the unweighted PSU total within h for sub-population A The estimator for a given ratio for sub-population A is the following: (2) Where: U RA =Estimate for the ratio of two variables, Y/X, in sub-population A U XA = Estimated total for variable X in sub-population A, given by formula (1)B U YA = Estimated total for variable Y in sub-population A, also given by formula (1)B Means and proportions are special types of ratios. In the case of the mean, the variable X, in the denominator of the ratio, is defined to equal 1 for each element, so that denominator is the sum of weights in the sub-population. In the case of the proportion, the variable X in the denominator is also defined to equal 1 for all elements. In addition, the variable Y in the numerator is binomial and is defined to equal either 0 or 1, depending on the absence or presence of a specified attribute in the element observed. Data editing took place at a number of stages through the processing including: 1. office editing and coding 2. during data entry 3. structure checking and completeness 4. structural checking of SPSS data files Selection of (3,591) households representing the West Bank and Gaza Strip, (2,502) households in the West Bank and (1,089) households in Gaza Strip. After completing the last visit to the households during the survey period, The results of questionnaires were as follows: RegionNumber of Questionnaires Number of incomplete Questionnaires TotalUninhabitedCompletedRefusedTravelMovementOther West Bank2,502792,27975312414 Gaza Strip1,08935991379143 Palestinian Territory3,5911143,270112403817 Excluding the uninhabited housing units, the sample of survey become (3,477) households, (2,423) households in the West Bank, And (1,054) households in Gaza Strip. (3,270) households completed the questionnaire: (2,279) households in the West Bank and (991) households in Gaza Strip. Therefore the percentage of non response rate was as indicated below: Gaza Strip (%)West Bank (%)Palestinian Territory (%)Result of Interview 6.36.36.3Non response 3.73.33.4Refused 2.32.42.4Not complete* 0.30.60.5Other * Not complete include the travel and movement of Household. Detailed information on the sampling Error is available in the Survey Report. Detailed information on the data appraisal is available in the Survey Report. General Statistics Law No. (5) for Year 2000 Article (17) 1. All individual information and data submitted to the Bureau for statistical purposes shall be treated as confidential and shall not be divulged, in whole or in part, to any individual or to a public or private body, or used for any purpose other than for preparing statistical tables. 2. The Bureau shall endeavor to issue official statistical publications in aggregate tables, which do not disclose individual data, in conformity with the confidentiality of statistical data. Palestinian Central Bureau of Statistics Palestinian Central Bureau of Statistics, 2014. Expenditure and Consumption Survey, 1997. v1.0 .Ramallah - Palestine License Agreement for the Use of Micro Data in PCBS items(10,11,12) as following: 1. pledges the utilization of "data" or any copies thereof shall be limited to the purposes agreed upon including not granting any third parties any access to these data. Restrictions applies to any data duplication or transformed setting for purposes other than meeting the requirements of the statistical programs used in data analysis. 2. Utilization of "data" or any copies thereof is limited to personal computers normally . 3. pledges not to alter the value of any observation in the original "data"; nevertheless, this does not apply on subjecting data to any processes or procedures aiming to derive new variables. The first party does not bear any professional, administrative or financial responsibility for any losses incurred as a result of changes in the variables values. PCBS provid data collected for purely statistical purposes, and therefore does not assume any responsibility for legal or professional from any claim or analysis or interpretation or misuse of this data Identification Data Data collected at the household level (PECS Household Questionnaire). The file includes region variable, area variable, locality type variable, the number of males in the household and the number of females in the household, in addition to variables of expenditure on different goods and services and the housing variables and relative weight variable of the sample. 3270 94 Roaster Data collected at the household level (PECS Household Questionnaire). The file includes characteristics of the members of households such as relation to head of household, age, sex, education attendance, educational status, main activity,number of working months during last 12 months. 23188 10 Items Expenditure Data collected at the household level (PECS Household Questionnaire). The file includes all the goods which household purchaze during the month. 344033 4 household identification education Relation to labour force Derived variables Demographic and social variables General serial number of the household General serial number of the household General serial number of the household General serial number of the household General serial number of the household 3270 1001 12325 6605.153 3488.288 Recoding month Recoding month Recoding month Recoding month Recoding month 3270 1 12 6.454 3.487 Total number of male household members Total number of male household members Total number of male household members Total number of male household members Total number of male household members 3270 21 3.6 2.169 Total number of female household members Total number of female household members Total number of female household members Total number of female household members Total number of female household members 3270 28 3.491 2.105 region region region region region 3270 1 West Bank 2 Gaza Strip Place of residence Place of residence Place of residence Place of residence Place of residence 3270 1 West Bank North 2 West Bank Middle 3 West Bank South 4 Gaza Strip Bread and cereals Bread and cereals Bread and cereals Bread and cereals Bread and cereals 3270 240.452 36.819 25.688 Meat and poultry Meat and poultry Meat and poultry Meat and poultry Meat and poultry 3270 1507.014 57.446 62.013 Fish and sea products Fish and sea products Fish and sea products Fish and sea products Fish and sea products 3270 102.784 4.068 6.108 Dairy products and eggs Dairy products and eggs Dairy products and eggs Dairy products and eggs Dairy products and eggs 3270 245.814 19.808 19.65 Oils and fats Oils and fats Oils and fats Oils and fats Oils and fats 3270 280.561 7.748 16.437 Fruits and nuts Fruits and nuts Fruits and nuts Fruits and nuts Fruits and nuts 3270 161.924 21.051 16.829 Vegetables, legumes and tubers Vegetables, legumes and tubers Vegetables, legumes and tubers Vegetables, legumes and tubers Vegetables, legumes and tubers 3270 176.433 31.852 19.39 Sugar and confectionery Sugar and confectionery Sugar and confectionery Sugar and confectionery Sugar and confectionery 3270 145.361 12.603 12.528 Non-alcoholic beverages Non-alcoholic beverages Non-alcoholic beverages Non-alcoholic beverages Non-alcoholic beverages 3270 186.242 10.637 11.671 Salt, spices and other food Salt, spices and other food Salt, spices and other food Salt, spices and other food Salt, spices and other food 3270 119.539 9.663 9.029 Take away food and meals in restaurant Take away food and meals in restaurant Take away food and meals in restaurant Take away food and meals in restaurant Take away food and meals in restaurant 3270 207.2 9.739 15.01 Own produced food in kind Own produced food in kind Own produced food in kind Own produced food in kind Own produced food in kind 3270 774.854 9.469 28.444 Clothing and footwear Clothing and footwear Clothing and footwear Clothing and footwear Clothing and footwear 3270 904.312 49.407 69.978 Housing Housing Housing Housing Housing 3270 609.6 41.056 41.886 Furniture and utensils Furniture and utensils Furniture and utensils Furniture and utensils Furniture and utensils 3270 917.608 25.449 49.27 Household operations Household operations Household operations Household operations Household operations 3270 259.519 7.57 11.141 Medical care Medical care Medical care Medical care Medical care 3270 1158.116 22.874 55.144 Transport and communication Transport and communication Transport and communication Transport and communication Transport and communication 3270 1845.38 61.656 102.771 Education Education Education Education Education 3270 1235.181 20.136 63.274 Recreation Recreation Recreation Recreation Recreation 3270 3025.033 15.649 82.506 Personal care Personal care Personal care Personal care Personal care 3270 166.632 11.822 13.287 Tobacco Tobacco Tobacco Tobacco Tobacco 3270 423.307 27.572 37.299 Alcohol beverage Alcohol beverage Alcohol beverage Alcohol beverage Alcohol beverage 3270 83.665 0.114 2.165 Other non-food consumption expenditure Other non-food consumption expenditure Other non-food consumption expenditure Other non-food consumption expenditure Other non-food consumption expenditure 3270 1504.986 19.383 57.728 Other than food Other than food Other than food Other than food Other than food 3270 40.08 1.103 3.352 Imputed rent Imputed rent Imputed rent Imputed rent Imputed rent 3270 1636.273 89.427 88.696 Remittances in cash Remittances in cash Remittances in cash Remittances in cash Remittances in cash 3270 905.858 19.088 54.564 Taxes in cash Taxes in cash Taxes in cash Taxes in cash Taxes in cash 3270 611.377 2.071 18.796 Other cash non-consumption expenditure Other cash non-consumption expenditure Other cash non-consumption expenditure Other cash non-consumption expenditure Other cash non-consumption expenditure 3270 4948.454 30.095 155.53 relative weight relative weight relative weight relative weight relative weight 3270 0.962 1.924 1.002 0.1 Main source of income Main source of income Main source of income Main source of income Main source of income 3270 1 Household business 2 Wages\salaries from public sector 3 Wages\salaries from private sector 4 Wages\salaries & remittances from Israel or abroad 5 Other Economic dependency Ratio Economic dependency Ratio Economic dependency Ratio Economic dependency Ratio Economic dependency Ratio 3270 1 less than 2 2 2-2.99 3 3-3.99 4 4-4.99 5 5-6.99 6 7-8.99 7 9 and more Household size code in Palestinian Territories Household size code in Palestinian Territories Household size code in Palestinian Territories Household size code in Palestinian Territories Household size code in Palestinian Territories 3270 1 1-3 persons 2 4-5 persons 3 6-7 persons 4 8-9 persons 5 10 persons and more Household size code in West Bank Household size code in West Bank Household size code in West Bank Household size code in West Bank Household size code in West Bank 2279 991 1 1-3 persons 2 4-5 persons 3 6-7 persons 4 8-9 persons 5 10 persons or more Sysmiss Household size in Gaza Strip Household size in Gaza Strip Household size in Gaza Strip Household size in Gaza Strip Household size in Gaza Strip 991 2279 1 1-5 persons 2 6-7 persons 3 8-9 persons 4 10 persons or more Sysmiss Number of income earners Number of income earners Number of income earners Number of income earners Number of income earners 3270 1 0 persons 2 1 person 3 2 persons 4 3 persons or more Household composition Household composition Household composition Household composition Household composition 3270 1 1-2 adult,0 child 2 1-2 adult,1-2 child 3 1-2 adult, 3 child or more 4 3 adult or more, 0-1 child 5 3 adult or more, 2-3 child 6 3 adult or more,4 child or more Age of head of household Age of head of household Age of head of household Age of head of household Age of head of household 3270 1 34 years and less 2 35-44 years 3 45-54 years 4 55 years and more Sex of head of household Sex of head of household Sex of head of household Sex of head of household Sex of head of household 3270 1 Male 2 Female Educational qualification of head of household Educational qualification of head of household Educational qualification of head of household Educational qualification of head of household Educational qualification of head of household 3270 1 Illiterate 2 Can read and write 3 Elementary 4 Preperatory 5 Secondary (all types) 6 Intermediate college 7 University\ postgraduate Level of living Level of living Level of living Level of living Level of living 3270 1 Better-off "less than 30%" 2 Middle category "30-44%" 3 Worse-off "45% and more" Consumption category Consumption category Consumption category Consumption category Consumption category 3270 1 200 JD and less 2 201-300 JD 3 301-400 JD 4 401-550 JD 5 551-700 JD 6 701-1000 JD 7 1001 JD and more Private car Private car Private car Private car Private car 3270 1 Owned 2 Free access 3 None Pick-up car Pick-up car Pick-up car Pick-up car Pick-up car 3270 1 Owned 2 Free access 3 None Tractor Tractor Tractor Tractor Tractor 3270 1 Owned 2 Free access 3 None Television Television Television Television Television 3270 1 Owned 2 Free access 3 None Video Video Video Video Video 3270 1 Owned 2 Free access 3 None Telephone Telephone Telephone Telephone Telephone 3270 1 Owned 2 Free access 3 None Radio\radio with tape recorder Radio\radio with tape recorder Radio\radio with tape recorder Radio\radio with tape recorder Radio\radio with tape recorder 3270 1 Owned 2 Free access 3 None Refrigerator\freezer Refrigerator\freezer Refrigerator\freezer Refrigerator\freezer Refrigerator\freezer 3270 1 Owned 2 Free access 3 None Cooker Cooker Cooker Cooker Cooker 3270 1 Owned 2 Free access 3 None Electrical fan Electrical fan Electrical fan Electrical fan Electrical fan 3270 1 Owned 2 Free access 3 None Air conditioner Air conditioner Air conditioner Air conditioner Air conditioner 3270 1 Owned 2 Free access 3 None Food process\mixer Food process\mixer Food process\mixer Food process\mixer Food process\mixer 3270 1 Owned 2 Free access 3 None Sewing machine Sewing machine Sewing machine Sewing machine Sewing machine 3270 1 Owned 2 Free access 3 None Vacum cleaner Vacum cleaner Vacum cleaner Vacum cleaner Vacum cleaner 3270 1 Owned 2 Free access 3 None Washing machine Washing machine Washing machine Washing machine Washing machine 3270 1 Owned 2 Free access 3 None Dish washer Dish washer Dish washer Dish washer Dish washer 3270 1 Owned 2 Free access 3 None Solar boiler Solar boiler Solar boiler Solar boiler Solar boiler 3270 1 Owned 2 Free access 3 None Cattle Cattle Cattle Cattle Cattle 3270 1 Owned 2 Free access 3 None Sheep Sheep Sheep Sheep Sheep 3270 1 Owned 2 Free access 3 None Goats Goats Goats Goats Goats 3270 1 Owned 2 Free access 3 None Poultry Poultry Poultry Poultry Poultry 3270 1 Owned 2 Free access 3 None Horse\donkey Horse\donkey Horse\donkey Horse\donkey Horse\donkey 3270 1 Owned 2 Free access 3 None Own land (how many dunoms?) Own land (how many dunoms?) Own land (how many dunoms?) Own land (how many dunoms?) Own land (how many dunoms?) 833 2437 400 9.118 20.082 Free access (how many donums?) Free access (how many donums?) Free access (how many donums?) Free access (how many donums?) Free access (how many donums?) 25 3245 1 2 3 4 5 6 7 8 10 12 16 20 25 Sysmiss Does't own or have free access to land(code=3) Does't own or have free access to land(code=3) Does't own or have free access to land(code=3) Does't own or have free access to land(code=3) Does't own or have free access to land(code=3) 2417 853 3 Does not own or have free access to land Sysmiss Type of dwelling Type of dwelling Type of dwelling Type of dwelling Type of dwelling 3270 1 House 2 Villa 3 Apartment 4 Other Number of rooms in the house Number of rooms in the house Number of rooms in the house Number of rooms in the house Number of rooms in the house 3269 1 1 74 3.759 2.312 What is the area of your dwelling in m**2 What is the area of your dwelling in m**2 What is the area of your dwelling in m**2 What is the area of your dwelling in m**2 What is the area of your dwelling in m**2 3269 1 9 1500 113.222 70.926 Which year was this dwelling constructed? Which year was this dwelling constructed? Which year was this dwelling constructed? Which year was this dwelling constructed? Which year was this dwelling constructed? 3269 1 66 1997 1974.039 55.429 What is the main material for walls What is the main material for walls What is the main material for walls What is the main material for walls What is the main material for walls 3269 1 1 stone 2 Cement or bricks 3 Stone and Cement 4 other Sysmiss Type of tenure Type of tenure Type of tenure Type of tenure Type of tenure 3270 1 Rented 2 Owned or provided free by UNRWA 3 Provide free by employer 4 Other Amount of cash rent (if code 1 at Q14) Amount of cash rent (if code 1 at Q14) Amount of cash rent (if code 1 at Q14) Amount of cash rent (if code 1 at Q14) Amount of cash rent (if code 1 at Q14) 476 2794 1000 64.828 123.686 Currency of rent amount Currency of rent amount Currency of rent amount Currency of rent amount Currency of rent amount 289 2981 1 Shikel 2 Jordanian dinar"JD" 3 US dollars Sysmiss Amount of imputed rent (if code 2,3 or 4 in Q14) Amount of imputed rent (if code 2,3 or 4 in Q14) Amount of imputed rent (if code 2,3 or 4 in Q14) Amount of imputed rent (if code 2,3 or 4 in Q14) Amount of imputed rent (if code 2,3 or 4 in Q14) 2984 286 2300 111.6 112.993 Currency of imputed rent Currency of imputed rent Currency of imputed rent Currency of imputed rent Currency of imputed rent 2982 288 1 Shikel 2 Jordanian dinar"JD" 3 US dollars Sysmiss Dwelling electrified Dwelling electrified Dwelling electrified Dwelling electrified Dwelling electrified 3270 1 Yes 2 No Toilet facilities (main source of sewage) Toilet facilities (main source of sewage) Toilet facilities (main source of sewage) Toilet facilities (main source of sewage) Toilet facilities (main source of sewage) 3270 1 Puplic sewer 2 Septic tank\cesspool Type of toilet Type of toilet Type of toilet Type of toilet Type of toilet 3270 1 Water closet 2 Arabic closet 3 Both of them Main source used for drinking water Main source used for drinking water Main source used for drinking water Main source used for drinking water Main source used for drinking water 3270 1 Puplic system indoor 2 Puplic system outdoor 3 Cistern 4 Tanks 5 Spring 6 Other Main source used for heating Main source used for heating Main source used for heating Main source used for heating Main source used for heating 3270 1 Electricity 2 Gas 3 Kerosene 4 Solar oil 5 Coal\firewood 6 Without heating Main source used for cooking Main source used for cooking Main source used for cooking Main source used for cooking Main source used for cooking 3270 1 Electricity 2 Gas 3 Kerosene 4 Coal\firewood 5 Other Distance from puplic transportation Distance from puplic transportation Distance from puplic transportation Distance from puplic transportation Distance from puplic transportation 3270 1 Less than 1 km 2 1-5 km 3 More than 5 km Distance from elementary school Distance from elementary school Distance from elementary school Distance from elementary school Distance from elementary school 3270 1 Less than 1 km 2 1-5 km 3 More than 5 km Distance from private doctor clinic Distance from private doctor clinic Distance from private doctor clinic Distance from private doctor clinic Distance from private doctor clinic 3270 1 Less than 1 km 2 1-5 km 3 More than 5 km Distance from health centre Distance from health centre Distance from health centre Distance from health centre Distance from health centre 3270 1 Less than 1 km 2 1-5 km 3 More than 5 km Distance from hospital Distance from hospital Distance from hospital Distance from hospital Distance from hospital 3270 1 Less than 1 km 2 1-5 km 3 More than 5 km serial number of household serial number of household serial number of household serial number of household serial number of household 23188 1001 12325 6621.528 3484.597 Person number in household Person number in household Person number in household Person number in household Person number in household 23188 1 49 4.979 3.613 Relationship to head of household Relationship to head of household Relationship to head of household Relationship to head of household Relationship to head of household 23188 1 Head of household 2 Spouse 3 Son\ duaghter 4 Parent 5 Brother\ sister 6 Grandparent 7 Nephew\ neice 8 Other relative 9 Other non relative Sex Sex Sex Sex Sex 23188 1 Male 2 Female Age of individual ("age <1 year"=00, "age >=98 years"=98) Age of individual ("age <1 year"=00, "age >=98 years"=98) Age of individual ("age <1 year"=00, "age >=98 years"=98) Age of individual ("age <1 year"=00, "age >=98 years"=98) Age of individual ("age <1 year"=00, "age >=98 years"=98) 23188 98 21.223 18.245 Marital status (for persons 14 years and more) Marital status (for persons 14 years and more) Marital status (for persons 14 years and more) Marital status (for persons 14 years and more) Marital status (for persons 14 years and more) 13178 10010 1 Never married 2 Married 3 Divorced\ seperated 4 Widowed Sysmiss Highest level of education (for persons aged 12+ years) Highest level of education (for persons aged 12+ years) Highest level of education (for persons aged 12+ years) Highest level of education (for persons aged 12+ years) Highest level of education (for persons aged 12+ years) 14489 8699 1 Illiterate 2 Can read and write 3 Elementary 4 Preparatory 5 Secondary, vocational, commercial and agriculture 6 Intermediate college 7 University 8 Postgraduate Sysmiss Main activity (for persons aged 15+ years) Main activity (for persons aged 15+ years) Main activity (for persons aged 15+ years) Main activity (for persons aged 15+ years) Main activity (for persons aged 15+ years) 12588 10600 1 Emloyer 2 Self-employed 3 Unpaid family workers 4 Government employee 5 Private sector employee 6 Unemloyed ever worked 7 Student 8 Housekeeper 9 Retired\too old\disabled 10 Other (i.e. in prison or in hospital) 11 In israeli economic sector 12 Abroad 13 Newly unemloyed (never worked) Sysmiss Main occupation (items 1-6 and 11-12 in main activity column Q_O, during period 18-24 of previous month) Main occupation (items 1-6 and 11-12 in main activity column Q_O, during period 18-24 of previous month) Main occupation (items 1-6 and 11-12 in main activity column Q_O, during period 18-24 of previous month) Main occupation (items 1-6 and 11-12 in main activity column Q_O, during period 18-24 of previous month) Main occupation (items 1-6 and 11-12 in main activity column Q_O, during period 18-24 of previous month) 5293 17895 11 93 65.68 22.332 Number of working months durting last 12 months Number of working months durting last 12 months Number of working months durting last 12 months Number of working months durting last 12 months Number of working months durting last 12 months 12590 10598 1 2 3 4 5 6 7 8 9 10 11 12 Sysmiss serial number of the household serial number of the household serial number of the household serial number of the household serial number of the household 344033 1001 12325 6581.78 3513.402 Items (101-4510_ monthly; 5001-5407_yearly) Items (101-4510_ monthly; 5001-5407_yearly) Items (101-4510_ monthly; 5001-5407_yearly) Items (101-4510_ monthly; 5001-5407_yearly) Items (101-4510_ monthly; 5001-5407_yearly) 344033 100 5407 1933.833 1401.97 amount in NIS amount in NIS amount in NIS amount in NIS amount in NIS 344033 92220 105.176 783.811 Recoding month Recoding month Recoding month Recoding month Recoding month 344033 1 2 3 4 5 6 7 8 9 10 11 12