Template_project PAL_ SOCIOECOS_2018_HD_V2 Economic Research Forum 2023-03 Nesstar Publisher Version 2 Socio-Economic Survey, HSOCIOECOS 2018 HSOCIOECOS PAL_SOCIOECOS_2018_HD_V2 Palestinian Central Bureau of Statistics (c) 2023, Economic Research Forum | (c) 2018, Palestinian Central Bureau of Statistics Nesstar Publisher World Food Programme Food and Agriculture Organization United Nations Economic and Social Commission for Western Asia Economic Research Forum (ERF) - 21 Al-Sad Al-Aaly St., Dokki, Giza, Egypt Socio-Economic Survey [hh/oth] The Palestinian Socio-Economic Survey Programme consists of an integrated series of socio-economic surveys, the first of which was issued in 2001. V2.0: A cleaned and a harmonized version of the survey dataset, produced by the Economic Research Forum for dissemination. Demographics Education Labor Force Employment Unemployment Wages and incomes THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE PALESTINIAN CENTRAL BUREAU OF STATISTICS

The Palestinian Central Bureau of Statistics (PCBS) carried out the Socio-Economic Survey 2018. The survey round covered a total sample of about 9926 households. The main objective of collecting data on the socio-economic and its components, including demographic charachteristics, employment, unemployment, is to provide basic information on the size and structure of the Palestinian households, as well as other data on the status of housing and characteristics of individuals, the family and living conditions. The raw survey data provided by the Statistical Agency were cleaned and harmonized by the Economic Research Forum, in the context of a major project that started in 2009. During which extensive efforts have been exerted to acquire, clean, harmonize, preserve and disseminate micro data of existing labor force surveys in several Arab countries.]]> Palestine Covering a representative sample on the region level (West Bank, Gaza Strip), the locality type (urban, rural, camp) and the governorates. The survey covered all Palestinian households who are a usual residence of the Palestinian Territory. Sample survey data [ssd] Palestinian Central Bureau of Statistics THE CLEANED AND HARMONIZED VERSION OF THE SURVEY DATA PRODUCED AND PUBLISHED BY THE ECONOMIC RESEARCH FORUM REPRESENTS 100% OF THE ORIGINAL SURVEY DATA COLLECTED BY THE PALESTINIAN CENTRAL BUREAU OF STATISTICS

The methodology was designed according to the context of the survey, international standards, data processing requirements and comparability of outputs with other related surveys. ---> Target Population: It consists of all Palestinian households and individuals who habitually reside with their households in Palestine for the reference period of the survey, which is 2018, and there was a focus on individuals of the age group 18 years and over to complete an additional form for individuals in this category. ---> Sampling Frame: The sampling frame consists of a comprehensive sample selected from the Population, Housing and Establishments Census 2007: This comprehensive sample consists of geographical areas with an average of 124 households, and these are considered as enumeration areas used in the census and these units were used as primary sampling units (PSUs). ---> Sampling Size: The estimated sample size is 9926 households in 2018. ---> Sample Design The sample is two stage stratified cluster sample with three stages : First stage: a systematic random sample of 337 enumeration areas for the whole round was selected. Second stage: the same households that were visited in the previous survey session 2015, which are about 25 households from each enumeration area were visited in 2018. Households that changed their place of residence and address available in the previous database to another place to complete the questionnaire are tracked. Individuals from the previous session who were separated from their household and formed new households or joined new households. Third stage: a male or female individual was selected from all sample families (old and new) in the second stage of individuals 18 years and over using check tables to complete the form for individuals 18 years and over (quality of life model). Taking into account that the household whose number is even in the enumeration area sample, we choose a female from it, and the household whose number is odd, from which we choose a male. ---> Sample strata: The population was divided by: 1. The governorate (16 governorates in the West Bank, including Jerusalem J1 governorate, which the Israeli occupation annexed to it by force after its occupation of the West Bank in 1967 as Tabqa and the Gaza Strip). 2. Type of settlement (urban, rural, camp). 3. Area C (class C, non-C) as an implicit class.]]> Face-to-face [f2f] Fieldworkers were trained on basic skills before the start of data Collection. The interviewers were trained on the Domestic and Outbound Tourism Survey by implementing the training course in Ramallah for the West Bank trainees, and in Gaza for Gaza Strip trainees. Instructions for filling the questionnaire were made available for the interviewers. The training provided the participant with aims and definitions of the different indicators and expressions of the survey and how to fill in the questionnaire. Raw Data PCBS started collecting data since 27/8/2018 using the hand held devices in Palestine excluding Jerusalem in side boarders (J1) and Gaza Strip, the program used in HHD called Sql Server and Microsoft. Net which was developed by General Directorate of Information Systems. Using HHD reduced the data processing stages, the fieldworkers collect data and sending data directly to server then the project manager can withdrawal the data at any time he needs. In order to work in parallel with Gaza Strip and Jerusalem in side boarders (J1), an office program was developed using the same techniques by using the same database for the HHD. ---> Harmonized Data - The SPSS package is used to clean and harmonize the datasets. - The harmonization process starts with a cleaning process for all raw data files received from the Statistical Agency. - All cleaned data files are then merged to produce one data file on the individual level containing all variables subject to harmonization. - A country-specific program is generated for each dataset to generate/ compute/ recode/ rename/ format/ label harmonized variables. - A post-harmonization cleaning process is then conducted on the data. - Harmonized data is saved on the household as well as the individual level, in SPSS and then converted to STATA, to be disseminated.]]> Sampling Errors Those errors result from studying part (sample) of the society and not all society units. Since the socio-economic conditions survey 2018 was conducted on a sample, sampling errors are expected to occur. To minimize sampling errors, a properly designed probability sample was used to calculate errors throughout the process. This means that for every unit of the society there is a probability to be selected in the sample. The variance was calculated to measure the impact on sample design for Palestine. ---> Non-Sampling Errors Non-Sampling errors are possible at all stages of the project, during data collection or processing. Those are referred to as non-response errors, response errors, interviewing errors and data entry errors. To avoid errors and reduce their effects, strenuous efforts were made to train the fieldworkers intensively. They were trained on how to carry out the interview, what to discuss and what to avoid, as well as practical and theoretical training during the training course. Non-sampling errors in the survey resulted from the private data it collected and that some households considered this as interference in the very details of their private life. They refused to cooperate with data. Several methods were used to convince households provide answers and minimize non-response.]]> Concept of data quality covers many aspects, starting from the initial planning of the survey to the dissemination of the results and how well users understand and use the data. There are seven dimensions of the statistical quality: relevance, accuracy, timeliness, accessibility, comparability, coherence, and completeness. Economic Research Forum Licensed datasets, accessible under conditions. The Economic Research Forum and the Palestinian Central Bureau of Statistics have granted the researcher access to relevant data following exhaustive efforts to protect the confidentiality of individual data. The researcher is solely responsible for any analysis or conclusions drawn from available data. Palestine18-SocioEconomic HH-V2.NSDstat 9926 515 Nesstar 200801 Palestine18-SocioEconomic IND-V2.NSDstat 50629 52 Nesstar 200801 Palestine18-SocioEconomic_Life-Quality IND18-V2.NSDstat 9675 155 Nesstar 200801 Household Individual File identification and information Geographical characteristics Household composition Dwelling characteristics Ownership of assets Head's characteristics Spouse's characteristics File identification and information Geographical characteristics Demographics Nationality and Immigration Education Labor LFS classification of household members Coping Strategies Consumption Income Agricultural and economic acitiveties Mobility Health Marriage Info Reality of suffering and quality of life Unique household identifier Data Dictionary & Questionnaire/Codebook All households 9926 9926 0 0 6 199400000010 23994044637.054 8090416377.628 49233591341.922 29622019964.815 Sequential anonymous household identifier, usually provided in the dataset. Generated by ERF Country Data Dictionary & Questionnaire/Codebook All households 9926 9926 0 0 A numeric variable representing the country and coded per the UN’s Dec. 2012, country classification. 12 Algeria 0 0 48 Bahrain 0 0 262 Djibouti 0 0 275 Palestine 9926 9926 368 Iraq 0 0 400 Jordan 0 0 414 Kuwait 0 0 422 Lebanon 0 0 434 Libya 0 0 478 Mauritania 0 0 504 Morocco 0 0 512 Oman 0 0 634 Qatar 0 0 682 Saudi Arabia 0 0 729 Sudan 0 0 760 Syrian Arab Republic 0 0 784 United Arab Emirates 0 0 788 Tunisia 0 0 818 Egypt 0 0 887 Yemen 0 0 Generated by ERF Survey year Data Dictionary & Questionnaire/Codebook All households 9926 9926 0 0 Year during which the survey was performed. 2018 9926 9926 Generated by ERF Data type Data Dictionary & Questionnaire/Codebook All households 9926 9926 0 0 This variable should indicate whether the survey data is cross-sectional or panel. 1 Cross-sectional 0 0 2 Panel 9926 9926 Generated by ERF Region Data Dictionary & Questionnaire/Codebook All households 9926 9926 0 0 Region of residence. 275001 West bank 5898 6319.332 275002 Gaza strip 4028 3606.668 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Urban/Rural residence Data Dictionary & Questionnaire/Codebook All households 9926 9926 0 0 Indicates whether the region is urban/rural. 0 Rural 1435 1486.493 1 Urban 7496 7640.861 2 Refugee camps 995 798.645 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Area Data Dictionary & Questionnaire/Codebook All households 9926 9926 0 0 275001 275075 Second geographical variable identifying another aspect of the location of the unit not described in REG such as city or village. 275001 Jenin 682 705.506 275005 Tubas 252 133.761 275010 Tulkarm 414 424.187 275015 Nablus 871 885.822 275020 Qalqilia 274 242.376 275025 Salfit 264 168.974 275030 Ramallah 656 740.611 275035 Jericho 200 103.657 275040 Jerusalem 480 962.681 275045 Bethlehem 487 490.658 275050 Hebron 1318 1461.099 275055 North Gaza 808 689.618 275060 Gaza city 1196 1220.276 275065 Deir Al-Balah 577 529.948 275070 Khan Yunis 905 716.845 275075 Rafah 542 449.98 Household panel identifier Data Dictionary & Questionnaire/Codebook Paneled households 7588 9073.908 2338 852.092 6 191839993856 33224350.838 15130811.794 2202941949.799 897465343.931 This variable should indicate the identifiers of paneled households only, either those observed across different rounds during the survey year or across two successive years, depending on the sampling design. Generated by ERF Total number of household members Data Dictionary & Questionnaire/Codebook All households 9926 9926 0 0 Total number of household members 1 295 387.589 2 1315 1175.335 3 1421 967.246 4 1442 1343.474 5 1347 1524.781 6 1377 1572.658 7 1134 1313.181 8 731 816.328 9 396 403.005 10 210 193.235 11 116 117.611 12 50 38.294 13 34 26.77 14 25 17.917 15 11 7.806 16 11 11.513 17 5 3.074 18 1 1.164 19 1 1.117 22 1 1.176 23 2 1.33 27 1 1.397 Total number of males in the household Data Dictionary & Questionnaire/Codebook All households 9926 9926 0 0 0 16 2.588 2.669 1.576 1.577 Total number of males in the household 0 435 553.969 1 2433 2056.003 2 2325 2128.405 3 2163 2393.889 4 1428 1621.477 5 717 764.838 6 258 260.384 7 111 95.892 8 36 32.719 9 11 9.678 10 3 3.223 11 3 2.539 12 1 1.117 13 1 0.47 16 1 1.397 Generated by ERF Total number of females in the household Data Dictionary & Questionnaire/Codebook All households 9926 9926 0 0 0 13 2.513 2.59 1.523 1.509 Total number of females in the household 0 65 82.397 1 2975 2680.004 2 2699 2626.339 3 1969 2153.37 4 1176 1315.493 5 604 641.387 6 261 266.836 7 102 93.364 8 39 31.921 9 24 23.538 10 6 5.319 11 1 1.397 12 4 3.271 13 1 1.365 Generated by ERF Number of persons under age 14 Data Dictionary & Questionnaire/Codebook All households 9926 9926 0 0 Number of persons under age 14 0 3141 3329.357 1 1975 1571.304 2 1922 1823.064 3 1382 1554.655 4 875 958.452 5 433 487.556 6 141 146.709 7 42 39.945 8 9 7.931 9 2 2.408 10 1 1.186 11 1 0.86 12 2 2.573 Number of persons aged 18 or more 9926 0 Number of persons aged 18 or more 0 2 1 442 2 5458 3 1217 4 1154 5 790 6 486 7 223 8 86 9 32 10 22 11 10 12 2 13 2 Number of persons aged 65 or more Data Dictionary & Questionnaire/Codebook All households 9926 9926 0 0 Number of persons aged 65 or more 0 8489 8277.196 1 1085 1229.035 2 345 412.061 3 6 6.311 4 1 1.397 Number of unemployed 15+ males who have previously worked Data Dictionary & Questionnaire/Codebook All households 9926 9926 0 0 0 5 0.148 0.141 0.413 0.406 Number of unemployed 15+ males who have previously worked 0 8635 8707.595 1 1144 1074.882 2 120 117.805 3 22 19.787 4 4 4.736 5 1 1.195 Generated by ERF Number of unemployed 15+ males who have never worked Data Dictionary & Questionnaire/Codebook All households 9926 9926 0 0 0 7 0.152 0.148 0.483 0.475 Number of unemployed 15+ males who have never worked 0 8799 8820.233 1 849 835.358 2 197 198.028 3 69 60.148 4 5 5.884 5 5 4.81 6 1 0.289 7 1 1.249 Generated by ERF Number of unemployed 15+ females who have previously worked Data Dictionary & Questionnaire/Codebook All households 9926 9926 0 0 0 2 0.0161 0.0151 0.128 0.124 Number of unemployed 15+ females who have previously worked 0 9769 9778.793 1 154 144.533 2 3 2.674 Generated by ERF Number of unemployed 15+ females who have never worked Data Dictionary & Questionnaire/Codebook All households 9926 9926 0 0 0 4 0.0677 0.0601 0.29 0.273 Number of unemployed 15+ females who have never worked 0 9336 9400.771 1 526 467.805 2 50 47.418 3 10 6.289 4 4 3.718 Generated by ERF Number of 15+ unemployed household members who have previously worked Data Dictionary & Questionnaire/Codebook All households 9926 9926 0 0 0 5 0.164 0.156 0.437 0.428 0 8513 8589.781 1 1236 1168.637 2 143 134.805 3 28 25.89 4 5 5.69 5 1 1.195 Generated by ERF Number of 15+ unemployed household members who have never worked Data Dictionary & Questionnaire/Codebook All households 9926 9926 0 0 0 7 0.22 0.208 0.595 0.571 Number of 15+ unemployed household members who have never worked 0 8370 8426.218 1 1130 1096.781 2 286 288.717 3 101 81.23 4 25 21.003 5 10 9.168 6 3 1.634 7 1 1.249 Generated by ERF Number of 15+ males in the labor force Data Dictionary & Questionnaire/Codebook All households 9926 9926 0 0 0 7 1.214 1.217 0.898 0.934 Number of 15+ males in the labor force 0 1393 1643.445 1 6330 5880.338 2 1240 1365.275 3 682 751.748 4 223 229.006 5 43 42.72 6 13 10.847 7 2 2.62 Generated by ERF Number of 15+ females in the labor force Data Dictionary & Questionnaire/Codebook All households 9926 9926 0 0 0 4 0.205 0.207 0.48 0.483 Number of 15+ females in the labor force 0 8164 8165.917 1 1534 1509.863 2 188 216.582 3 31 25.106 4 9 8.532 Generated by ERF Number of 15+ household members in the labor force Data Dictionary & Questionnaire/Codebook All households 9926 9926 0 0 0 9 1.42 1.424 1.034 1.062 Number of 15+ household members in the labor force 0 1123 1332.06 1 5534 5184.33 2 1942 1968.717 3 826 930.834 4 358 377.48 5 102 97.797 6 34 28.685 7 5 3.626 8 1 1.249 9 1 1.221 Generated by ERF Number of 15+ males out of labor force Data Dictionary & Questionnaire/Codebook All households 9926 9926 0 0 0 6 0.437 0.48 0.713 0.722 Number of 15+ males out of labor force 0 6637 6274.39 1 2445 2744.553 2 670 731.338 3 151 154.087 4 16 16.091 5 5 5.069 6 2 0.472 Generated by ERF Number of 15+ females out of labor force Data Dictionary & Questionnaire/Codebook All households 9926 9926 0 0 0 8 1.428 1.47 0.982 0.982 Number of 15+ females out of labor force 0 857 779.02 1 5856 5666.327 2 1908 2102.237 3 889 956.134 4 286 296.969 5 96 91.709 6 26 26.536 7 6 6.139 8 2 0.931 Generated by ERF Number of 15+ household members out of labor force Data Dictionary & Questionnaire/Codebook All households 9926 9926 0 0 0 10 1.865 1.95 1.347 1.327 Number of 15+ household members out of labor force 0 699 604.81 1 4588 4172.572 2 1965 2246.873 3 1435 1618.75 4 751 805.269 5 316 318.464 6 120 112.977 7 35 33.075 8 11 8.235 9 4 3.693 10 2 1.281 Generated by ERF Gender of the head Data Dictionary & Questionnaire/Codebook All Heads 9926 9926 0 0 Gender of the head. 1 Male 8969 8784.73 2 Female 957 1141.27 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Gender of the first spouse Data Dictionary & Questionnaire/Codebook All Spouses 8817 8610.94 1109 1315.06 Gender of the first spouse. 1 Male 16 15.858 2 Female 8801 8595.082 Sysmiss 1109 1315.06 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Gender of the second spouse Data Dictionary & Questionnaire/Codebook All Spouses 69 55.515 9857 9870.485 Gender of the second spouse. 1 Male 0 0 2 Female 69 55.515 Sysmiss 9857 9870.485 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Gender of the third spouse Data Dictionary & Questionnaire/Codebook All Spouses 1 1.193 9925 9924.807 Gender of the third spouse. 1 Male 0 0 2 Female 1 1.193 Sysmiss 9925 9924.807 Age of the head Data Dictionary & Questionnaire/Codebook All Heads 9926 9926 0 0 16 98 44.425 47.073 15.295 14.907 Age of the head in completed years. Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Age of the first spouse Data Dictionary & Questionnaire/Codebook All Spouses 8817 8610.94 1109 1315.06 15 90 37.06 39.502 13.519 13.22 Age of the first spouse in completed years. Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Age of the second spouse Data Dictionary & Questionnaire/Codebook All Spouses 69 55.515 9857 9870.485 16 68 36.739 38.458 12.343 12.319 Age of the second spouse in completed years. Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Age of the third spouse Data Dictionary & Questionnaire/Codebook All Spouses 1 1.193 9925 9924.807 32 32 32 32 Age of the third spouse in completed years. Marital status of the head [Standardized version] Data Dictionary & Questionnaire/Codebook Heads aged 14+ 9926 9926 0 0 Legal administrative status concerning marriage of the head. 1 Never married 144 187.182 2 Married monogamous 8902 8724.962 3 Married polygamous 69 55.515 4 Divorced/Separated 98 110.689 5 Widowed 712 846.332 99 Not stated 1 1.32 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Marital status of the first spouse [Standardized version] Spouses aged 14+ 8817 8610.94 1109 1315.06 Legal administrative status concerning marriage of the first spouse. 1 Never married 0 0 2 Married monogamous 8817 8610.94 3 Married polygamous 0 0 4 Divorced/Separated 0 0 5 Widowed 0 0 99 Not stated 0 0 Sysmiss 1109 1315.06 Marital status of the second spouse [Standardized version] Spouses aged 14+ 69 55.515 9857 9870.485 Legal administrative status concerning marriage of the second spouse. 1 Never married 0 0 2 Married monogamous 69 55.515 3 Married polygamous 0 0 4 Divorced/Separated 0 0 5 Widowed 0 0 99 Not stated 0 0 Sysmiss 9857 9870.485 Marital status of the third spouse [Standardized version] Data Dictionary & Questionnaire/Codebook Spouses aged 14+ 1 1.193 9925 9924.807 Legal administrative status concerning marriage of the third spouse. 1 Never married 0 0 2 Married monogamous 1 1.193 3 Married polygamous 0 0 4 Divorced/Separated 0 0 5 Widowed 0 0 99 Not stated 0 0 Sysmiss 9925 9924.807 Marital status of the head [Detailed version] Data Dictionary & Questionnaire/Codebook Heads aged 14+ 9926 9926 0 0 Legal administrative status concerning marriage of the head (detailed version of coding). 100 Never married 144 187.182 200 Married monogamous 0 0 210 Legally married 0 0 220 Married 8902 8724.962 300 Married polygamous 69 55.515 400 Divorced/Separated 0 0 410 Separated 22 21.733 420 Divorced 76 88.956 500 Widowed 712 846.332 999 Not stated 1 1.32 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Marital status of the first spouse [Detailed version] Spouses aged 14+ 8817 8610.94 1109 1315.06 220 220 Legal administrative status concerning marriage of the first spouse (detailed version of coding). 100 Never married 0 0 200 Married monogamous 0 0 210 Legally married 0 0 220 Married 8817 8610.94 300 Married polygamous 0 0 400 Divorced/Separated 0 0 410 Separated 0 0 420 Divorced 0 0 500 Widowed 0 0 999 Not stated 0 0 Marital status of the second spouse [Detailed version] Spouses aged 14+ 69 55.515 9857 9870.485 220 220 Legal administrative status concerning marriage of the second spouse (detailed version of coding). 100 Never married 0 0 200 Married monogamous 0 0 210 Legally married 0 0 220 Married 69 55.515 300 Married polygamous 0 0 400 Divorced/Separated 0 0 410 Separated 0 0 420 Divorced 0 0 500 Widowed 0 0 999 Not stated 0 0 Marital status of the third spouse [Detailed version] Data Dictionary & Questionnaire/Codebook Spouses aged 14+ 1 1.193 9925 9924.807 220 220 Legal administrative status concerning marriage of the third spouse (detailed version of coding). 100 Never married 0 0 200 Married monogamous 0 0 210 Legally married 0 0 220 Married 1 1.193 300 Married polygamous 0 0 400 Divorced/Separated 0 0 410 Separated 0 0 420 Divorced 0 0 500 Widowed 0 0 999 Not stated 0 0 Literacy status of the head Data Dictionary & Questionnaire/Codebook Heads aged 10+ 9926 9926 0 0 This variable indicates whether the head is literate (can read and write) or not. 0 No 495 570.123 1 9430 9354.556 99 Not stated 1 1.32 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Literacy status of the first spouse Data Dictionary & Questionnaire/Codebook Spouses aged 10+ 8817 8610.94 1109 1315.06 This variable indicates whether the first spouse is literate (can read and write) or not. 0 No 289 336.394 1 8528 8274.546 99 Not stated 0 0 Sysmiss 1109 1315.06 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Literacy status of the second spouse Data Dictionary & Questionnaire/Codebook Spouses aged 10+ 69 55.515 9857 9870.485 This variable indicates whether the second spouse is literate (can read and write) or not. 0 No 7 5.094 1 62 50.422 99 Not stated 0 0 Sysmiss 9857 9870.485 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Literacy status of the third spouse Data Dictionary & Questionnaire/Codebook Spouses aged 10+ 1 1.193 9925 9924.807 This variable indicates whether the third spouse is literate (can read and write) or not. 0 No 0 0 1 Can read & write 1 1.193 99 Not stated 0 0 Sysmiss 9925 9924.807 Educational level of the head [Standardized version] Heads aged 10+ 9926 9926 0 0 Educational level of the head [Standardized version] 1 None 1263 1418.312 2 Primary/Lower secondary 4687 4682.861 3 Secondary 1679 1689.202 4 Post secondary or equivalent 658 627.548 5 University 1462 1319.482 6 Postgraduate 176 187.274 99 Not stated 1 1.32 Educational level of the first spouse [Standardized version] Spouses aged 10+ 8817 8610.94 1109 1315.06 Educational level of the first spouse [Standardized version] 1 None 702 798.021 2 Primary/Lower secondary 3762 3866.673 3 Secondary 2042 1879.725 4 Post secondary or equivalent 587 563.548 5 University 1673 1455.444 6 Postgraduate 51 47.529 99 Not stated 0 0 Sysmiss 1109 1315.06 Educational level of the second spouse [Standardized version] Spouses aged 10+ 69 55.515 9857 9870.485 Educational level of the second spouse [Standardized version] 1 None 14 11.052 2 Primary/Lower secondary 32 25.323 3 Secondary 12 10.129 4 Post secondary or equivalent 2 1.461 5 University 9 7.551 6 Postgraduate 0 0 99 Not stated 0 0 Sysmiss 9857 9870.485 Educational level of the third spouse [Standardized version] Data Dictionary & Questionnaire/Codebook Spouses aged 10+ 1 1.193 9925 9924.807 Educational level of the third spouse [Standardized version] 1 None 0 0 2 Primary/Lower secondary 1 1.193 3 Secondary 0 0 4 Post secondary or equivalent 0 0 5 University 0 0 6 Postgraduate 0 0 99 Not stated 0 0 Sysmiss 9925 9924.807 Educational level of the head [Detailed version] Heads aged 10+ 9926 9926 0 0 110 999 Educational level of the head [Detailed version] 100 None 0 0 110 Illiterate 495 570.123 120 Read only 0 0 130 Read & write 768 848.189 140 Literacy classes/certificate 0 0 150 Never attended school 0 0 160 KG 0 0 170 Koranic KG (Kouttab) 0 0 180 Attending elementary school and did not complete first level 0 0 200 Primary /Lower secondary 0 0 210 Primary 1648 1743.098 220 Preparatory 3039 2939.763 230 Lower secondary 0 0 240 Professional/Vocational below secondary education 0 0 300 Secondary 1679 1689.202 310 Academic secondary 0 0 320 Professional/Vocational secondary 0 0 400 Post secondary or equivalent 658 627.548 500 University 1462 1319.482 600 Postgraduate 0 0 610 High diploma 23 26.324 620 Masters 118 125.398 630 PhD 35 35.552 999 Not stated 1 1.32 Educational level of the first spouse [Detailed version] Spouses aged 10+ 8817 8610.94 1109 1315.06 110 630 Educational level of the first spouse [Detailed version] 100 None 0 0 110 Illiterate 289 336.394 120 Read only 0 0 130 Read & write 413 461.627 140 Literacy classes/certificate 0 0 150 Never attended school 0 0 160 KG 0 0 170 Koranic KG (Kouttab) 0 0 180 Attending elementary school and did not complete first level 0 0 200 Primary /Lower secondary 0 0 210 Primary 1106 1178.266 220 Preparatory 2656 2688.407 230 Lower secondary 0 0 240 Professional/Vocational below secondary education 0 0 300 Secondary 2042 1879.725 310 Academic secondary 0 0 320 Professional/Vocational secondary 0 0 400 Post secondary or equivalent 587 563.548 500 University 1673 1455.444 600 Postgraduate 0 0 610 High diploma 14 12.793 620 Masters 36 33.479 630 PhD 1 1.258 999 Not stated 0 0 Educational level of the second spouse [Detailed version] Spouses aged 10+ 69 55.515 9857 9870.485 110 500 Educational level of the second spouse [Detailed version] 100 None 0 0 110 Illiterate 7 5.094 120 Read only 0 0 130 Read & write 7 5.958 140 Literacy classes/certificate 0 0 150 Never attended school 0 0 160 KG 0 0 170 Koranic KG (Kouttab) 0 0 180 Attending elementary school and did not complete first level 0 0 200 Primary /Lower secondary 0 0 210 Primary 9 7.477 220 Preparatory 23 17.846 230 Lower secondary 0 0 240 Professional/Vocational below secondary education 0 0 300 Secondary 12 10.129 310 Academic secondary 0 0 320 Professional/Vocational secondary 0 0 400 Post secondary or equivalent 2 1.461 500 University 9 7.551 600 Postgraduate 0 0 610 High diploma 0 0 620 Masters 0 0 630 PhD 0 0 999 Not stated 0 0 Educational level of the third spouse [Detailed version] Data Dictionary & Questionnaire/Codebook Spouses aged 10+ 1 1.193 9925 9924.807 210 210 Educational level of the third spouse [Detailed version] 100 None 0 0 110 Illiterate 0 0 120 Read only 0 0 130 Read & write 0 0 140 Literacy classes/certificate 0 0 150 Never attended school 0 0 160 KG 0 0 170 Koranic KG (Kouttab) 0 0 180 Attending elementary school and did not complete first level 0 0 200 Primary /Lower secondary 0 0 210 Primary 1 1.193 220 Preparatory 0 0 230 Lower secondary 0 0 240 Professional/Vocational below secondary education 0 0 300 Secondary 0 0 310 Academic secondary 0 0 320 Professional/Vocational secondary 0 0 400 Post secondary or equivalent 0 0 500 University 0 0 600 Postgraduate 0 0 610 High diploma 0 0 620 Masters 0 0 630 PhD 0 0 999 Not stated 0 0 Main activity status of the head [Standardized version] Data Dictionary & Questionnaire/Codebook Heads aged 7+ 9926 9926 0 0 Main activity status of the head during the survey period. 1 Employed 6361 6185.437 2 Unemployed 1089 949.682 3 Homemaker (Housewife) 481 552.754 4 Student 24 26.301 5 Pensioners/retired/disabled 1811 2062.993 6 Others 159 147.512 99 Not stated 1 1.32 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Main activity status of the first spouse [Standardized version] Data Dictionary & Questionnaire/Codebook Spouses aged 7+ 8817 8610.94 1109 1315.06 Main activity status of the first spouse during the survey period. 1 Employed 660 662.728 2 Unemployed 328 230.805 3 Homemaker (Housewife) 7175 7128.279 4 Student 416 308.323 5 Pensioners/retired/disabled 231 270.42 6 Others 7 10.384 99 Not stated 0 0 Sysmiss 1109 1315.06 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Main activity status of the second spouse [Standardized version] Data Dictionary & Questionnaire/Codebook Spouses aged 7+ 69 55.515 9857 9870.485 Main activity status of the second spouse during the survey period. 1 Employed 4 4.264 2 Unemployed 1 1.242 3 Homemaker (Housewife) 60 47.953 4 Student 2 0.348 5 Pensioners/retired/disabled 2 1.709 6 Others 0 0 99 Not stated 0 0 Sysmiss 9857 9870.485 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Main activity status of the third spouse [Standardized version] Data Dictionary & Questionnaire/Codebook Spouses aged 7+ 1 1.193 9925 9924.807 Main activity status of the third spouse during the survey period. 1 Employed 0 0 2 Unemployed 0 0 3 Homemaker (Housewife) 1 1.193 4 Student 0 0 5 Pensioners/retired/disabled 0 0 6 Others 0 0 99 Not stated 0 0 Sysmiss 9925 9924.807 Main activity status of the head [Detailed version] Data Dictionary & Questionnaire/Codebook Heads aged 7+ 9926 9926 0 0 Main activity status of the head during the survey period (detailed version of coding). 100 Employed 6361 6185.437 110 Employed but temporary absent from work 0 0 111 Sick leave/Ill 0 0 112 Vacation/Official vacation 0 0 113 Temporary stoppage of the industry 0 0 114 Travel 0 0 115 Strike/Curfew 0 0 120 Managing own properties 0 0 130 Employed but temporary unpaid 0 0 131 Arranges to take up paid/self- employment activity 0 0 132 Waiting for the start date of an agreed work 0 0 133 Waiting to have clients 0 0 134 Unpaid leave for more than one year 0 0 135 Waiting to go back to previous job 0 0 200 Unemployed 0 0 210 Unemployed ever worked (seeking a job) 808 734.357 220 Unemployed never worked (seeking a job) 281 215.326 230 Unemployed (not seeking a job) 0 0 231 Awaiting a recall to a previous job (temporary laid off) 0 0 232 Awaiting work applications/interviews/competitions results 0 0 233 Unable to issue work permission due to political circumstanc 0 0 234 Not able to seek a job due to closure/curfew 0 0 235 In military service 0 0 300 Homemaker (Housewife) 481 552.754 310 Homemaker 0 0 320 Housewife 0 0 400 Student 24 26.301 500 Pensioners/retired/disabled 0 0 510 Pensioners 0 0 520 Retired 450 499.937 530 Disabled 0 0 540 Unable to work 0 0 550 Old 0 0 560 Disabled/Old/Ill 1361 1563.056 600 Others 36 31.839 610 Out of labor force 0 0 620 Discouraged unemployment 0 0 630 Not working and not looking for a job 0 0 640 Have income/revenue/means 123 115.673 650 In prison 0 0 660 In hospital 0 0 670 Landlord 0 0 680 Family responsibilities 0 0 999 Not stated 1 1.32 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Main activity status of the first spouse [Detailed version] Data Dictionary & Questionnaire/Codebook Spouses aged 7+ 8817 8610.94 1109 1315.06 Main activity status of the first spouse during the survey period (detailed version of coding). 100 Employed 660 662.728 110 Employed but temporary absent from work 0 0 111 Sick leave/Ill 0 0 112 Vacation/Official vacation 0 0 113 Temporary stoppage of the industry 0 0 114 Travel 0 0 115 Strike/Curfew 0 0 120 Managing own properties 0 0 130 Employed but temporary unpaid 0 0 131 Arranges to take up paid/self- employment activity 0 0 132 Waiting for the start date of an agreed work 0 0 133 Waiting to have clients 0 0 134 Unpaid leave for more than one year 0 0 135 Waiting to go back to previous job 0 0 200 Unemployed 0 0 210 Unemployed ever worked (seeking a job) 78 61.387 220 Unemployed never worked (seeking a job) 250 169.419 230 Unemployed (not seeking a job) 0 0 231 Awaiting a recall to a previous job (temporary laid off) 0 0 232 Awaiting work applications/interviews/competitions results 0 0 233 Unable to issue work permission due to political circumstanc 0 0 234 Not able to seek a job due to closure/curfew 0 0 235 In military service 0 0 300 Homemaker (Housewife) 7175 7128.279 310 Homemaker 0 0 320 Housewife 0 0 400 Student 416 308.323 500 Pensioners/retired/disabled 0 0 510 Pensioners 0 0 520 Retired 40 46.112 530 Disabled 0 0 540 Unable to work 0 0 550 Old 0 0 560 Disabled/Old/Ill 191 224.308 600 Others 5 5.079 610 Out of labor force 0 0 620 Discouraged unemployment 0 0 630 Not working and not looking for a job 0 0 640 Have income/revenue/means 2 5.305 650 In prison 0 0 660 In hospital 0 0 670 Landlord 0 0 680 Family responsibilities 0 0 999 Not stated 0 0 Sysmiss 1109 1315.06 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Main activity status of the second spouse [Detailed version] Data Dictionary & Questionnaire/Codebook Spouses aged 7+ 69 55.515 9857 9870.485 Main activity status of the second spouse during the survey period (detailed version of coding). 100 Employed 4 4.264 110 Employed but temporary absent from work 0 0 111 Sick leave/Ill 0 0 112 Vacation/Official vacation 0 0 113 Temporary stoppage of the industry 0 0 114 Travel 0 0 115 Strike/Curfew 0 0 120 Managing own properties 0 0 130 Employed but temporary unpaid 0 0 131 Arranges to take up paid/self- employment activity 0 0 132 Waiting for the start date of an agreed work 0 0 133 Waiting to have clients 0 0 134 Unpaid leave for more than one year 0 0 135 Waiting to go back to previous job 0 0 200 Unemployed 0 0 210 Unemployed ever worked (seeking a job) 0 0 220 Unemployed never worked (seeking a job) 1 1.242 230 Unemployed (not seeking a job) 0 0 231 Awaiting a recall to a previous job (temporary laid off) 0 0 232 Awaiting work applications/interviews/competitions results 0 0 233 Unable to issue work permission due to political circumstanc 0 0 234 Not able to seek a job due to closure/curfew 0 0 235 In military service 0 0 300 Homemaker (Housewife) 60 47.953 310 Homemaker 0 0 320 Housewife 0 0 400 Student 2 0.348 500 Pensioners/retired/disabled 0 0 510 Pensioners 0 0 520 Retired 0 0 530 Disabled 0 0 540 Unable to work 0 0 550 Old 0 0 560 Disabled/Old/Ill 2 1.709 600 Others 0 0 610 Out of labor force 0 0 620 Discouraged unemployment 0 0 630 Not working and not looking for a job 0 0 640 Have income/revenue/means 0 0 650 In prison 0 0 660 In hospital 0 0 670 Landlord 0 0 680 Family responsibilities 0 0 999 Not stated 0 0 Sysmiss 9857 9870.485 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Main activity status of the third spouse [Detailed version] Data Dictionary & Questionnaire/Codebook Spouses aged 7+ 1 1.193 9925 9924.807 300 300 Main activity status of the third spouse during the survey period (detailed version of coding). 100 Employed 0 0 110 Employed but temporary absent from work 0 0 111 Sick leave/Ill 0 0 112 Vacation/Official vacation 0 0 113 Temporary stoppage of the industry 0 0 114 Travel 0 0 115 Strike/Curfew 0 0 120 Managing own properties 0 0 130 Employed but temporary unpaid 0 0 131 Arranges to take up paid/self-employment activity 0 0 132 Waiting for the start date of an agreed work 0 0 133 Waiting to have clients 0 0 134 Unpaid leave for more than one year 0 0 135 Waiting to go back to previous job 0 0 200 Unemployed 0 0 210 Unemployed ever worked (seeking a job) 0 0 220 Unemployed never worked (seeking a job) 0 0 230 Unemployed (not seeking a job) 0 0 231 Awaiting a recall to a previous job (temporary laid off) 0 0 232 Awaiting work applications/interviews/competitions results 0 0 233 Unable to issue work permission due to political circumstanc 0 0 234 Not able to seek a job due to closure/curfew 0 0 235 In military service 0 0 300 Homemaker (Housewife) 1 1.193 310 Homemaker 0 0 320 Housewife 0 0 400 Student 0 0 500 Pensioners/retired/disabled 0 0 510 Pensioners 0 0 520 Retired 0 0 530 Disabled 0 0 540 Unable to work 0 0 550 Old 0 0 560 Disabled/Old/Ill 0 0 600 Others 0 0 610 Out of labor force 0 0 620 Discouraged unemployment 0 0 630 Not working and not looking for a job 0 0 640 Have income/revenue/means 0 0 650 In prison 0 0 660 In hospital 0 0 670 Landlord 0 0 680 Family responsibilities 0 0 999 Not stated 0 0 Status of employment of the head [Standardized version] Data Dictionary & Questionnaire/Codebook Employed Heads aged 7+ 7169 6919.793 2757 3006.207 Detailed description of the employment status of the head. 1 Employee 5607 5331.481 2 Employer 503 549.263 3 Own-account, self-employed 1024 1011.595 4 Contributing (unpaid) family worker 35 27.454 5 Members of producers cooperatives 0 0 6 Workers not classifiable by status (other) 0 0 99 Not stated 0 0 Sysmiss 2757 3006.207 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Status of employment of the first spouse [Standardized version] Data Dictionary & Questionnaire/Codebook Employed Spouses aged 7+ 738 724.115 9188 9201.885 Detailed description of the employment status of the first spouse. 1 Employee 604 592.923 2 Employer 21 22.922 3 Own-account, self-employed 72 71.952 4 Contributing (unpaid) family worker 41 36.318 5 Members of producers cooperatives 0 0 6 Workers not classifiable by status (other) 0 0 99 Not stated 0 0 Sysmiss 9188 9201.885 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Status of employment of the second spouse [Standardized version] Data Dictionary & Questionnaire/Codebook Employed Spouses aged 7+ 4 4.264 9922 9921.736 Detailed description of the employment status of the second spouse. 1 Employee 3 3.77 2 Employer 0 0 3 Own-account, self-employed 1 0.494 4 Contributing (unpaid) family worker 0 0 5 Members of producers cooperatives 0 0 6 Workers not classifiable by status (other) 0 0 99 Not stated 0 0 Sysmiss 9922 9921.736 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Status of employment of the third spouse Data Dictionary & Questionnaire/Codebook Employed Spouses aged 7+ 0 0 9926 9926 Detailed description of the employment status of the third spouse. 1 Employee 0 0 2 Employer 0 0 3 Own account, self-employed 0 0 4 Contributing (unpaid) family worker 0 0 5 Member of producers cooperatives 0 0 6 Workers not classifiable by status (Others) 0 0 99 Not stated 0 0 Sysmiss 9926 9926 Occupation classification of the main job of the head [Standardized version] Data Dictionary & Questionnaire/Codebook Employed Heads aged 7+ 7170 6921.077 2756 3004.923 Standardized occupation classification for the main job of the head. 10 Legislators, senior officials and managers 418 431.231 20 Professionals 793 731.079 30 Technicians and associate professionals 415 408.209 40 Clerks 110 106.562 50 Service workers and shop and market sales workers 1334 1289.323 60 Skilled agricultural and fishery workers 150 140.476 70 Craft and related trades workers 1652 1629.95 80 Plant and machine operators, and assemblers 733 759.059 90 Elementary occupations 1565 1425.189 100 Armed forces 0 0 998 Other/unspecified 0 0 999 Not stated 0 0 Sysmiss 2756 3004.923 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Occupation classification of the main job of the first spouse [Standardized version] Data Dictionary & Questionnaire/Codebook Employed Spouses aged 7+ 738 724.115 9188 9201.885 Standardized occupation classification for the main job of the first spouse. 10 Legislators, senior officials and managers 33 28.84 20 Professionals 397 397.767 30 Technicians and associate professionals 73 66.812 40 Clerks 39 32.521 50 Service workers and shop and market sales workers 80 78.193 60 Skilled agricultural and fishery workers 32 27.123 70 Craft and related trades workers 38 39.773 80 Plant and machine operators, and assemblers 9 11.326 90 Elementary occupations 37 41.76 100 Armed forces 0 0 998 Other/unspecified 0 0 999 Not stated 0 0 Sysmiss 9188 9201.885 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Occupation classification of the main job of the second spouse [Standardized version] Data Dictionary & Questionnaire/Codebook Employed Spouses aged 7+ 4 4.264 9922 9921.736 Standardized occupation classification for the main job of the second spouse. 10 Legislators, senior officials and managers 0 0 20 Professionals 1 0.494 30 Technicians and associate professionals 0 0 40 Clerks 0 0 50 Service workers and shop and market sales workers 2 2.578 60 Skilled agricultural and fishery workers 0 0 70 Craft and related trades workers 0 0 80 Plant and machine operators, and assemblers 0 0 90 Elementary occupations 1 1.193 100 Armed forces 0 0 998 Other/unspecified 0 0 999 Not stated 0 0 Sysmiss 9922 9921.736 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Occupation of the main job of the third spouse [Standardized version] Data Dictionary & Questionnaire/Codebook Employed Spouses aged 7+ 0 0 9926 9926 Standardized occupation classification for the main job of the third spouse. 10 Legislators, senior officials and managers 0 0 20 Professionals 0 0 30 Technicians and associate professionals 0 0 40 Clerks 0 0 50 Service workers and shop and market sales workers 0 0 60 Skilled agricultural and fishery workers 0 0 70 Craft and related trades workers 0 0 80 Plant and machine operators and assemblers 0 0 90 Elementary occupations 0 0 100 Armed Forces 0 0 998 Other/unspecified 0 0 999 Not stated 0 0 Sysmiss 9926 9926 Data Dictionary & Questionnaire/Codebook Employed Heads aged 7+ 7170 6921.077 2756 3004.923 Occupation classification of the main job of the head, following the 1-digits International Standard Classification of Occupations for the year 2008 (ISCO-08). 1 Legislators, senior officials and managers 418 431.231 2 Professionals 793 731.079 3 Technicians and associate professionals 415 408.209 4 Clerks 110 106.562 5 Service workers and shop and market sales workers 1334 1289.323 6 Skilled agricultural and fishery workers 150 140.476 7 Craft and related trades workers 1652 1629.95 8 Plant and machine operators and assemblers 733 759.059 9 Elementary occupations 1565 1425.189 9998 Unspecified codes 0 0 9999 Not stated 0 0 Sysmiss 2756 3004.923 Data Dictionary & Questionnaire/Codebook Employed Spouses aged 7+ 738 724.115 9188 9201.885 Occupation classification of the main job of the first spouse, following the 1-digits International Standard Classification of Occupations for the year 2008 (ISCO-08). 1 Legislators, senior officials and managers 33 28.84 2 Professionals 397 397.767 3 Technicians and associate professionals 73 66.812 4 Clerks 39 32.521 5 Service workers and shop and market sales workers 80 78.193 6 Skilled agricultural and fishery workers 32 27.123 7 Craft and related trades workers 38 39.773 8 Plant and machine operators and assemblers 9 11.326 9 Elementary occupations 37 41.76 9998 Unspecified codes 0 0 9999 Not stated 0 0 Sysmiss 9188 9201.885 Data Dictionary & Questionnaire/Codebook Employed Spouses aged 7+ 4 4.264 9922 9921.736 Occupation classification of the main job of the second spouse, following the 1-digits International Standard Classification of Occupations for the year 2008 (ISCO-08). 1 Legislators, senior officials and managers 0 0 2 Professionals 1 0.494 3 Technicians and associate professionals 0 0 4 Clerks 0 0 5 Service workers and shop and market sales workers 2 2.578 6 Skilled agricultural and fishery workers 0 0 7 Craft and related trades workers 0 0 8 Plant and machine operators and assemblers 0 0 9 Elementary occupations 1 1.193 9998 Unspecified codes 0 0 9999 Not stated 0 0 Sysmiss 9922 9921.736 Data Dictionary & Questionnaire/Codebook Employed Spouses aged 7+ 0 0 9926 9926 Occupation classification of the main job of the third spouse, following the 1-digits International Standard Classification of Occupations for the year 2008 (ISCO-08). 1 Legislators, senior officials and managers 0 0 2 Professionals 0 0 3 Technicians and associate professionals 0 0 4 Clerks 0 0 5 Service workers and shop and market sales workers 0 0 6 Skilled agricultural and fishery workers 0 0 7 Craft and related trades workers 0 0 8 Plant and machine operators and assemblers 0 0 9 Elementary occupations 0 0 9998 Unspecified codes 0 0 9999 Not stated 0 0 Sysmiss 9926 9926 Economic activity classification of the main job of the head [Standardized version] Data Dictionary & Questionnaire/Codebook Employed Heads aged 7+ 7169 6920.673 2757 3005.327 Standardized economic activity classification of the main job of the head. 10 Agriculture, forestry and fishing 498 406.792 20 Mining and quarrying 26 25.954 30 Manufacturing 824 795.551 40 Electricity, gas and water supply 48 49.878 50 Construction 1729 1667.74 60 Wholesale and retail trade 1243 1150.764 70 Transportation and storage 497 526.977 80 Accommodation and food service activities 181 191.05 90 Information and communication 55 47.828 100 Financial and insurance activities 38 39.019 110 Real estate, professional and support service activities 155 142.228 120 Public administration and defense 998 997.293 130 Education 423 437.954 140 Human health and social work activities 173 176.559 150 Other activities 273 256.049 998 Unspecified 0 0 999 Not stated 8 9.036 Sysmiss 2757 3005.327 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Economic activity classification of the main job of the first spouse [Standardized version] Data Dictionary & Questionnaire/Codebook Employed Spouses aged 7+ 738 724.115 9188 9201.885 Standardized economic activity classification of the main job of the first spouse. 10 Agriculture, forestry and fishing 41 35.329 20 Mining and quarrying 0 0 30 Manufacturing 38 37.24 40 Electricity, gas and water supply 2 2.27 50 Construction 7 5.507 60 Wholesale and retail trade 63 61.859 70 Transportation and storage 0 0 80 Accommodation and food service activities 11 10.489 90 Information and communication 8 5.356 100 Financial and insurance activities 10 6.348 110 Real estate, professional and support service activities 26 19.022 120 Public administration and defense 59 51.839 130 Education 342 355.669 140 Human health and social work activities 75 74.792 150 Other activities 56 58.395 998 Unspecified 0 0 999 Not stated 0 0 Sysmiss 9188 9201.885 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Economic activity classification of the main job of the second spouse [Standardized version] Data Dictionary & Questionnaire/Codebook Employed Spouses aged 7+ 4 4.264 9922 9921.736 Standardized economic activity classification of the main job of the second spouse. 10 Agriculture, forestry and fishing 0 0 20 Mining and quarrying 0 0 30 Manufacturing 0 0 40 Electricity, gas and water supply 0 0 50 Construction 0 0 60 Wholesale and retail trade 1 1.369 70 Transportation and storage 0 0 80 Accommodation and food service activities 0 0 90 Information and communication 0 0 100 Financial and insurance activities 0 0 110 Real estate, professional and support service activities 0 0 120 Public administration and defense 0 0 130 Education 2 1.702 140 Human health and social work activities 0 0 150 Other activities 1 1.193 998 Unspecified 0 0 999 Not stated 0 0 Sysmiss 9922 9921.736 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Economic activity of the main job of the third spouse [Standardized version] Data Dictionary & Questionnaire/Codebook Employed Spouses aged 7+ 0 0 9926 9926 Standardized economic activity classification of the main job of the third spouse. 10 Agriculture, forestry and fishing 0 0 20 Mining and quarrying 0 0 30 Manufacturing 0 0 40 Electricity, gas and water supply 0 0 50 Construction 0 0 60 Wholesale and retail trade 0 0 70 Transportation and storage 0 0 80 Accommodation and food service activities 0 0 90 Information and communication 0 0 100 Financial and insurance activities 0 0 110 Real estate, professional and support service activities 0 0 120 Public administration and defense 0 0 130 Education 0 0 140 Human health and social work activities 0 0 150 Other activities 0 0 998 Unspecified 0 0 999 Not stated 0 0 Sysmiss 9926 9926 Economic activity of the main job of the head [ISIC Rev.4-2 digits] Employed Heads aged 7+ 7169 6920.673 2757 3005.327 Economic activity classification of the main job of the head [ISIC Rev.4-2 digits] 1 Crop and animal production, hunting and related service activities 498 406.792 2 Forestry and logging 0 0 3 Fishing and aquaculture 0 0 5 Mining of coal and lignite 26 25.954 6 Extraction of crude petroleum and natural gas 0 0 7 Mining of metal ores 0 0 8 Other mining and quarrying 0 0 9 Mining support service activities 0 0 10 Manufacture of food products 824 795.551 11 Manufacture of beverages 0 0 12 Manufacture of tobacco products 0 0 13 Manufacture of textiles 0 0 14 Manufacture of wearing apparel 0 0 15 Manufacture of leather and related products 0 0 16 Manufacture of wood/cork and its products, except furniture; and of articles of straw and plaiting materials 0 0 17 Manufacture of paper and paper products 0 0 18 Printing and reproduction of recorded media 0 0 19 Manufacture of coke and refined petroleum products 0 0 20 Manufacture of chemicals and chemical products 0 0 21 Manufacture of basic pharmaceutical products and pharmaceutical preparations 0 0 22 Manufacture of rubber and plastics products 0 0 23 Manufacture of other non-metallic mineral products 0 0 24 Manufacture of basic metals 0 0 25 Manufacture of fabricated metal products, except machinery and equipment 0 0 26 Manufacture of computer, electronic and optical products 0 0 27 Manufacture of electrical equipment 0 0 28 Manufacture of machinery and equipment n.e.c. 0 0 29 Manufacture of motor vehicles, trailers and semi-trailers 0 0 30 Manufacture of other transport equipment 0 0 31 Manufacture of furniture 0 0 32 Other manufacturing 0 0 33 Repair and installation of machinery and equipment 0 0 35 Electricity, gas, steam and air conditioning supply 20 23.033 36 Water collection, treatment and supply 28 26.845 37 Sewerage 0 0 38 Waste collection, treatment and disposal activities; materials recovery 0 0 39 Remediation activities and other waste management services 0 0 41 Construction of buildings 1729 1667.74 42 Civil engineering 0 0 43 Specialized construction activities 0 0 45 Wholesale and retail trade and repair of motor vehicles and motorcycles 1243 1150.764 46 Wholesale trade, except of motor vehicles and motorcycles 0 0 47 Retail trade, except of motor vehicles and motorcycles 0 0 49 Land transport and transport via pipelines 497 526.977 50 Water transport 0 0 51 Air transport 0 0 52 Warehousing and support activities for transportation 0 0 53 Postal and courier activities 0 0 55 Accommodation 181 191.05 56 Food and beverage service activities 0 0 58 Publishing activities 55 47.828 59 Motion picture, video and television program production, sound recording and music publishing activities 0 0 60 Programming and broadcasting activities 0 0 61 Telecommunications 0 0 62 Computer programming, consultancy and related activities 0 0 63 Information service activities 0 0 64 Financial service activities, except insurance and pension funding 38 39.019 65 Insurance, reinsurance and pension funding, except compulsory social security 0 0 66 Activities auxiliary to financial service and insurance activities 0 0 68 Real estate activities 10 13.684 69 Legal and accounting activities 67 54.009 70 Activities of head offices; management consultancy activities 0 0 71 Architectural and engineering activities; technical testing and analysis 0 0 72 Scientific research and development 0 0 73 Advertising and market research 0 0 74 Other professional, scientific and technical activities 0 0 75 Veterinary activities 0 0 77 Rental and leasing activities 78 74.535 78 Employment activities 0 0 79 Travel agency, tour operator, reservation service and related activities 0 0 80 Security and investigation activities 0 0 81 Services to buildings and landscape activities 0 0 82 Office administrative, office support and other business support activities 0 0 84 Public administration and defense; compulsory social security 998 997.293 85 Education 423 437.954 86 Human health activities 173 176.559 87 Residential care activities 0 0 88 Social work activities without accommodation 0 0 90 Creative, arts and entertainment activities 50 60.465 91 Libraries, archives, museums and other cultural activities 0 0 92 Gambling and betting activities 0 0 93 Sports activities and amusement and recreation activities 0 0 94 Activities of membership organizations 169 143.352 95 Repair of computers and personal and household goods 0 0 96 Other personal service activities 0 0 97 Activities of households as employers of domestic personnel 16 18.913 98 Undifferentiated goods- and services-producing activities of private households for own use 0 0 99 Activities of extraterritorial organizations and bodies 38 33.319 9998 Unspecified code 0 0 9999 Not stated 8 9.036 Sysmiss 2757 3005.327 Economic activity of the main job of the first spouse [ISIC Rev.4-2 digits] Employed Spouses aged 7+ 738 724.115 9188 9201.885 Economic activity classification of the main job of the first spouse [ISIC Rev.4-2 digits] 1 Crop and animal production, hunting and related service activities 41 35.329 2 Forestry and logging 0 0 3 Fishing and aquaculture 0 0 5 Mining of coal and lignite 0 0 6 Extraction of crude petroleum and natural gas 0 0 7 Mining of metal ores 0 0 8 Other mining and quarrying 0 0 9 Mining support service activities 0 0 10 Manufacture of food products 38 37.24 11 Manufacture of beverages 0 0 12 Manufacture of tobacco products 0 0 13 Manufacture of textiles 0 0 14 Manufacture of wearing apparel 0 0 15 Manufacture of leather and related products 0 0 16 Manufacture of wood/cork and its products, except furniture; and of articles of straw and plaiting materials 0 0 17 Manufacture of paper and paper products 0 0 18 Printing and reproduction of recorded media 0 0 19 Manufacture of coke and refined petroleum products 0 0 20 Manufacture of chemicals and chemical products 0 0 21 Manufacture of basic pharmaceutical products and pharmaceutical preparations 0 0 22 Manufacture of rubber and plastics products 0 0 23 Manufacture of other non-metallic mineral products 0 0 24 Manufacture of basic metals 0 0 25 Manufacture of fabricated metal products, except machinery and equipment 0 0 26 Manufacture of computer, electronic and optical products 0 0 27 Manufacture of electrical equipment 0 0 28 Manufacture of machinery and equipment n.e.c. 0 0 29 Manufacture of motor vehicles, trailers and semi-trailers 0 0 30 Manufacture of other transport equipment 0 0 31 Manufacture of furniture 0 0 32 Other manufacturing 0 0 33 Repair and installation of machinery and equipment 0 0 35 Electricity, gas, steam and air conditioning supply 2 2.27 36 Water collection, treatment and supply 0 0 37 Sewerage 0 0 38 Waste collection, treatment and disposal activities; materials recovery 0 0 39 Remediation activities and other waste management services 0 0 41 Construction of buildings 7 5.507 42 Civil engineering 0 0 43 Specialized construction activities 0 0 45 Wholesale and retail trade and repair of motor vehicles and motorcycles 63 61.859 46 Wholesale trade, except of motor vehicles and motorcycles 0 0 47 Retail trade, except of motor vehicles and motorcycles 0 0 49 Land transport and transport via pipelines 0 0 50 Water transport 0 0 51 Air transport 0 0 52 Warehousing and support activities for transportation 0 0 53 Postal and courier activities 0 0 55 Accommodation 11 10.489 56 Food and beverage service activities 0 0 58 Publishing activities 8 5.356 59 Motion picture, video and television program production, sound recording and music publishing activities 0 0 60 Programming and broadcasting activities 0 0 61 Telecommunications 0 0 62 Computer programming, consultancy and related activities 0 0 63 Information service activities 0 0 64 Financial service activities, except insurance and pension funding 10 6.348 65 Insurance, reinsurance and pension funding, except compulsory social security 0 0 66 Activities auxiliary to financial service and insurance activities 0 0 68 Real estate activities 2 0.189 69 Legal and accounting activities 16 12.03 70 Activities of head offices; management consultancy activities 0 0 71 Architectural and engineering activities; technical testing and analysis 0 0 72 Scientific research and development 0 0 73 Advertising and market research 0 0 74 Other professional, scientific and technical activities 0 0 75 Veterinary activities 0 0 77 Rental and leasing activities 8 6.804 78 Employment activities 0 0 79 Travel agency, tour operator, reservation service and related activities 0 0 80 Security and investigation activities 0 0 81 Services to buildings and landscape activities 0 0 82 Office administrative, office support and other business support activities 0 0 84 Public administration and defense; compulsory social security 59 51.839 85 Education 342 355.669 86 Human health activities 75 74.792 87 Residential care activities 0 0 88 Social work activities without accommodation 0 0 90 Creative, arts and entertainment activities 3 3.002 91 Libraries, archives, museums and other cultural activities 0 0 92 Gambling and betting activities 0 0 93 Sports activities and amusement and recreation activities 0 0 94 Activities of membership organizations 38 37.06 95 Repair of computers and personal and household goods 0 0 96 Other personal service activities 0 0 97 Activities of households as employers of domestic personnel 4 7.393 98 Undifferentiated goods- and services-producing activities of private households for own use 0 0 99 Activities of extraterritorial organizations and bodies 11 10.94 9998 Unspecified code 0 0 9999 Not stated 0 0 Sysmiss 9188 9201.885 Economic activity of the main job of the second spouse [ISIC Rev.4-2 digits] Employed Spouses aged 7+ 4 4.264 9922 9921.736 Economic activity classification of the main job of the second spouse [ISIC Rev.4-2 digits] 1 Crop and animal production, hunting and related service activities 0 0 2 Forestry and logging 0 0 3 Fishing and aquaculture 0 0 5 Mining of coal and lignite 0 0 6 Extraction of crude petroleum and natural gas 0 0 7 Mining of metal ores 0 0 8 Other mining and quarrying 0 0 9 Mining support service activities 0 0 10 Manufacture of food products 0 0 11 Manufacture of beverages 0 0 12 Manufacture of tobacco products 0 0 13 Manufacture of textiles 0 0 14 Manufacture of wearing apparel 0 0 15 Manufacture of leather and related products 0 0 16 Manufacture of wood/cork and its products, except furniture; and of articles of straw and plaiting materials 0 0 17 Manufacture of paper and paper products 0 0 18 Printing and reproduction of recorded media 0 0 19 Manufacture of coke and refined petroleum products 0 0 20 Manufacture of chemicals and chemical products 0 0 21 Manufacture of basic pharmaceutical products and pharmaceutical preparations 0 0 22 Manufacture of rubber and plastics products 0 0 23 Manufacture of other non-metallic mineral products 0 0 24 Manufacture of basic metals 0 0 25 Manufacture of fabricated metal products, except machinery and equipment 0 0 26 Manufacture of computer, electronic and optical products 0 0 27 Manufacture of electrical equipment 0 0 28 Manufacture of machinery and equipment n.e.c. 0 0 29 Manufacture of motor vehicles, trailers and semi-trailers 0 0 30 Manufacture of other transport equipment 0 0 31 Manufacture of furniture 0 0 32 Other manufacturing 0 0 33 Repair and installation of machinery and equipment 0 0 35 Electricity, gas, steam and air conditioning supply 0 0 36 Water collection, treatment and supply 0 0 37 Sewerage 0 0 38 Waste collection, treatment and disposal activities; materials recovery 0 0 39 Remediation activities and other waste management services 0 0 41 Construction of buildings 0 0 42 Civil engineering 0 0 43 Specialized construction activities 0 0 45 Wholesale and retail trade and repair of motor vehicles and motorcycles 1 1.369 46 Wholesale trade, except of motor vehicles and motorcycles 0 0 47 Retail trade, except of motor vehicles and motorcycles 0 0 49 Land transport and transport via pipelines 0 0 50 Water transport 0 0 51 Air transport 0 0 52 Warehousing and support activities for transportation 0 0 53 Postal and courier activities 0 0 55 Accommodation 0 0 56 Food and beverage service activities 0 0 58 Publishing activities 0 0 59 Motion picture, video and television program production, sound recording and music publishing activities 0 0 60 Programming and broadcasting activities 0 0 61 Telecommunications 0 0 62 Computer programming, consultancy and related activities 0 0 63 Information service activities 0 0 64 Financial service activities, except insurance and pension funding 0 0 65 Insurance, reinsurance and pension funding, except compulsory social security 0 0 66 Activities auxiliary to financial service and insurance activities 0 0 68 Real estate activities 0 0 69 Legal and accounting activities 0 0 70 Activities of head offices; management consultancy activities 0 0 71 Architectural and engineering activities; technical testing and analysis 0 0 72 Scientific research and development 0 0 73 Advertising and market research 0 0 74 Other professional, scientific and technical activities 0 0 75 Veterinary activities 0 0 77 Rental and leasing activities 0 0 78 Employment activities 0 0 79 Travel agency, tour operator, reservation service and related activities 0 0 80 Security and investigation activities 0 0 81 Services to buildings and landscape activities 0 0 82 Office administrative, office support and other business support activities 0 0 84 Public administration and defense; compulsory social security 0 0 85 Education 2 1.702 86 Human health activities 0 0 87 Residential care activities 0 0 88 Social work activities without accommodation 0 0 90 Creative, arts and entertainment activities 0 0 91 Libraries, archives, museums and other cultural activities 0 0 92 Gambling and betting activities 0 0 93 Sports activities and amusement and recreation activities 0 0 94 Activities of membership organizations 0 0 95 Repair of computers and personal and household goods 0 0 96 Other personal service activities 0 0 97 Activities of households as employers of domestic personnel 1 1.193 98 Undifferentiated goods- and services-producing activities of private households for own use 0 0 99 Activities of extraterritorial organizations and bodies 0 0 9998 Unspecified code 0 0 9999 Not stated 0 0 Sysmiss 9922 9921.736 Economic activity of the main job of the third spouse [ISIC Rev.4-2 digits] Data Dictionary & Questionnaire/Codebook Employed Spouses aged 7+ 0 0 9926 9926 Economic activity classification of the main job of the third spouse [ISIC Rev.4-2 digits] 1 Crop and animal production, hunting and related service activities 0 0 2 Forestry and logging 0 0 3 Fishing and aquaculture 0 0 5 Mining of coal and lignite 0 0 6 Extraction of crude petroleum and natural gas 0 0 7 Mining of metal ores 0 0 8 Other mining and quarrying 0 0 9 Mining support service activities 0 0 10 Manufacture of food products 0 0 11 Manufacture of beverages 0 0 12 Manufacture of tobacco products 0 0 13 Manufacture of textiles 0 0 14 Manufacture of wearing apparel 0 0 15 Manufacture of leather and related products 0 0 16 Manufacture of wood/cork and its products, except furniture; and of articles of straw and plaiting materials 0 0 17 Manufacture of paper and paper products 0 0 18 Printing and reproduction of recorded media 0 0 19 Manufacture of coke and refined petroleum products 0 0 20 Manufacture of chemicals and chemical products 0 0 21 Manufacture of basic pharmaceutical products and pharmaceutical preparations 0 0 22 Manufacture of rubber and plastics products 0 0 23 Manufacture of other non-metallic mineral products 0 0 24 Manufacture of basic metals 0 0 25 Manufacture of fabricated metal products, except machinery and equipment 0 0 26 Manufacture of computer, electronic and optical products 0 0 27 Manufacture of electrical equipment 0 0 28 Manufacture of machinery and equipment n.e.c. 0 0 29 Manufacture of motor vehicles, trailers and semi-trailers 0 0 30 Manufacture of other transport equipment 0 0 31 Manufacture of furniture 0 0 32 Other manufacturing 0 0 33 Repair and installation of machinery and equipment 0 0 35 Electricity, gas, steam and air conditioning supply 0 0 36 Water collection, treatment and supply 0 0 37 Sewerage 0 0 38 Waste collection, treatment and disposal activities; materials recovery 0 0 39 Remediation activities and other waste management services 0 0 41 Construction of buildings 0 0 42 Civil engineering 0 0 43 Specialized construction activities 0 0 45 Wholesale and retail trade and repair of motor vehicles and motorcycles 0 0 46 Wholesale trade, except of motor vehicles and motorcycles 0 0 47 Retail trade, except of motor vehicles and motorcycles 0 0 49 Land transport and transport via pipelines 0 0 50 Water transport 0 0 51 Air transport 0 0 52 Warehousing and support activities for transportation 0 0 53 Postal and courier activities 0 0 55 Accommodation 0 0 56 Food and beverage service activities 0 0 58 Publishing activities 0 0 59 Motion picture, video and television program production, sound recording and music publishing activities 0 0 60 Programming and broadcasting activities 0 0 61 Telecommunications 0 0 62 Computer programming, consultancy and related activities 0 0 63 Information service activities 0 0 64 Financial service activities, except insurance and pension funding 0 0 65 Insurance, reinsurance and pension funding, except compulsory social security 0 0 66 Activities auxiliary to financial service and insurance activities 0 0 68 Real estate activities 0 0 69 Legal and accounting activities 0 0 70 Activities of head offices; management consultancy activities 0 0 71 Architectural and engineering activities; technical testing and analysis 0 0 72 Scientific research and development 0 0 73 Advertising and market research 0 0 74 Other professional, scientific and technical activities 0 0 75 Veterinary activities 0 0 77 Rental and leasing activities 0 0 78 Employment activities 0 0 79 Travel agency, tour operator, reservation service and related activities 0 0 80 Security and investigation activities 0 0 81 Services to buildings and landscape activities 0 0 82 Office administrative, office support and other business support activities 0 0 84 Public administration and defense; compulsory social security 0 0 85 Education 0 0 86 Human health activities 0 0 87 Residential care activities 0 0 88 Social work activities without accommodation 0 0 90 Creative, arts and entertainment activities 0 0 91 Libraries, archives, museums and other cultural activities 0 0 92 Gambling and betting activities 0 0 93 Sports activities and amusement and recreation activities 0 0 94 Activities of membership organizations 0 0 95 Repair of computers and personal and household goods 0 0 96 Other personal service activities 0 0 97 Activities of households as employers of domestic personnel 0 0 98 Undifferentiated goods- and services-producing activities of private households for own use 0 0 99 Activities of extraterritorial organizations and bodies 0 0 9998 Unspecified code 0 0 9999 Not stated 0 0 Sysmiss 9926 9926 Sector of employment of the head [Standardized version] Data Dictionary & Questionnaire/Codebook Employed Heads aged 7+ 7169 6919.793 2757 3006.207 Sector of employment (i.e. private versus public sector workers) in the main job of the head. 1 Government 1266 1280.74 2 Public sector 0 0 3 Private sector 5756 5507.896 4 Joint/Cooperative 0 0 5 Foreign sector 8 6.325 6 Other 139 124.832 99 Not stated 0 0 Sysmiss 2757 3006.207 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Sector of employment of the first spouse [Standardized version] Data Dictionary & Questionnaire/Codebook Employed Spouses aged 7+ 738 724.115 9188 9201.885 Sector of employment (i.e. private versus public sector workers) in the main job of the first spouse. 1 Government 266 257.483 2 Public sector 0 0 3 Private sector 385 385.636 4 Joint/Cooperative 2 1.336 5 Foreign sector 6 6.184 6 Other 79 73.474 99 Not stated 0 0 Sysmiss 9188 9201.885 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Sector of employment of the second spouse [Standardized version] Data Dictionary & Questionnaire/Codebook Employed Spouses aged 7+ 4 4.264 9922 9921.736 Sector of employment (i.e. private versus public sector workers) in the main job of the second spouse. 1 Government 0 0 2 Public sector 0 0 3 Private sector 4 4.264 4 Joint/Cooperative 0 0 5 Foreign sector 0 0 6 Other 0 0 99 Not stated 0 0 Sysmiss 9922 9921.736 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Sector of employment of the main job of the third spouse [Standardized version] Data Dictionary & Questionnaire/Codebook Employed Spouses aged 7+ 0 0 9926 9926 Sector of employment (i.e. private versus public sector workers) in the main job of the third spouse. 1 Government 0 0 2 Public sector 0 0 3 Private sector 0 0 4 Joint/Cooperative 0 0 5 Foreign sector 0 0 6 Others 0 0 99 Not stated 0 0 Sysmiss 9926 9926 Sector of employment of the main job of the head [Detailed version] Employed Heads aged 7+ 7169 6919.793 2757 3006.207 110 660 Sector of employment of the head [Detailed version] 100 Government 0 0 110 Government-National 1126 1105.982 120 Government-Foreign 28 61.675 130 Government-Federal 0 0 140 Government-Local 112 113.084 200 Public sector 0 0 210 Economic institutions 0 0 300 Private sector 0 0 310 Private-Investment 0 0 320 Private-National 0 0 321 Private-National inside establishment 2774 2627.402 322 Private-National outside establishment 1728 1577.941 330 Private-Foreign 0 0 331 Private-Foreign inside establishment 577 604.382 332 Private-Foreign outside establishment 642 670.717 340 Private-Inside establishment 0 0 350 Private-Outside establishment 0 0 360 Private-Families 35 27.454 400 Joint/Cooperative 0 0 410 Joint 0 0 420 Cooperative 0 0 430 Joint local sector 0 0 440 Joint public and private sector 0 0 500 Foreign sector 8 6.325 510 Diplomatic bodies 0 0 600 Others 0 0 610 Non-governmental organizations 0 0 620 Non-profit associations 0 0 630 Charitable associations 43 38.865 640 Outside establishment 0 0 650 Outside the country 0 0 660 UNRWA 96 85.968 999 Not stated 0 0 Sector of employment of the main job of the first spouse [Detailed version] Employed Spouses aged 7+ 738 724.115 9188 9201.885 110 660 Sector of employment of the first spouse [Detailed version] 100 Government 0 0 110 Government-National 255 242.54 120 Government-Foreign 3 5.976 130 Government-Federal 0 0 140 Government-Local 8 8.967 200 Public sector 0 0 210 Economic institutions 0 0 300 Private sector 0 0 310 Private-Investment 0 0 320 Private-National 0 0 321 Private-National inside establishment 304 301.891 322 Private-National outside establishment 23 20.612 330 Private-Foreign 0 0 331 Private-Foreign inside establishment 13 22.995 332 Private-Foreign outside establishment 4 3.82 340 Private-Inside establishment 0 0 350 Private-Outside establishment 0 0 360 Private-Families 41 36.318 400 Joint/Cooperative 2 1.336 410 Joint 0 0 420 Cooperative 0 0 430 Joint local sector 0 0 440 Joint public and private sector 0 0 500 Foreign sector 6 6.184 510 Diplomatic bodies 0 0 600 Others 0 0 610 Non-governmental organizations 0 0 620 Non-profit associations 0 0 630 Charitable associations 21 17.621 640 Outside establishment 0 0 650 Outside the country 0 0 660 UNRWA 58 55.853 999 Not stated 0 0 Sector of employment of the main job of the second spouse [Detailed version] Employed Spouses aged 7+ 4 4.264 9922 9921.736 321 321 Sector of employment of the second spouse [Detailed version] 100 Government 0 0 110 Government-National 0 0 120 Government-Foreign 0 0 130 Government-Federal 0 0 140 Government-Local 0 0 200 Public sector 0 0 210 Economic institutions 0 0 300 Private sector 0 0 310 Private-Investment 0 0 320 Private-National 0 0 321 Private-National inside establishment 4 4.264 322 Private-National outside establishment 0 0 330 Private-Foreign 0 0 331 Private-Foreign inside establishment 0 0 332 Private-Foreign outside establishment 0 0 340 Private-Inside establishment 0 0 350 Private-Outside establishment 0 0 360 Private-Families 0 0 400 Joint/Cooperative 0 0 410 Joint 0 0 420 Cooperative 0 0 430 Joint local sector 0 0 440 Joint public and private sector 0 0 500 Foreign sector 0 0 510 Diplomatic bodies 0 0 600 Others 0 0 610 Non-governmental organizations 0 0 620 Non-profit associations 0 0 630 Charitable associations 0 0 640 Outside establishment 0 0 650 Outside the country 0 0 660 UNRWA 0 0 999 Not stated 0 0 Sector of employment of the main job of the third spouse [Detailed version] Data Dictionary & Questionnaire/Codebook Employed Spouses aged 7+ 0 0 9926 9926 Sector of employment of the third spouse [Detailed version] 100 Government 0 0 110 Government-National 0 0 120 Government-Foreign 0 0 130 Government-Federal 0 0 140 Government-Local 0 0 200 Public sector 0 0 210 Economic institutions 0 0 300 Private sector 0 0 310 Private-Investment 0 0 320 Private-National 0 0 321 Private-National inside establishment 0 0 322 Private-National outside establishment 0 0 330 Private-Foreign 0 0 331 Private-Foreign inside establishment 0 0 332 Private-Foreign outside establishment 0 0 340 Private-Inside establishment 0 0 350 Private-Outside establishment 0 0 360 Private-Families 0 0 400 Joint/Cooperative 0 0 410 Joint 0 0 420 Cooperative 0 0 430 Joint local sector 0 0 440 Joint public and private sector 0 0 500 Foreign sector 0 0 510 Diplomatic bodies 0 0 600 Others 0 0 610 Non-governmental organizations 0 0 620 Non-profit associations 0 0 630 Charitable associations 0 0 640 Outside establishment 0 0 650 Outside the country 0 0 660 UNRWA 0 0 999 Not stated 0 0 Sysmiss 9926 9926 Source of income Data Dictionary & Questionnaire/Codebook All households 9919 9920.087 7 5.913 10 50 Source of income 10 Household business 1044 1061.826 20 Salaries and wages 6493 6384.23 30 Remittances from country or abroad 1278 1239.121 40 Pensions 914 919.247 50 Other 190 315.662 Type of dwelling [Standardized version] Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Type of dwelling [Standardized version] 1 3910 3972.38 2 55 54.023 3 5824 5732.388 4 135 165.365 Sysmiss 2 1.844 Type of dwelling [Detailed version] Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 100 430 222.296 221.463 99.899 100.772 Type of dwelling [Detailed version] Tenure of dwelling [Standardized version] Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Tenure of dwelling [Standardized version] 1 695 686.724 2 7953 8187.566 3 1271 1043.199 4 5 6.668 Sysmiss 2 1.844 Tenure of dwelling [Detailed version] Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 110 400 218.513 215.907 49.78 46.745 Tenure of dwelling [Detailed version] Number of rooms Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of rooms excluding bathroom and kitchen 1 314 313.388 2 1504 1388.512 3 3257 3241.281 4 3156 3251.794 5 1402 1434.869 6 247 252.984 7 27 25.349 8 13 12.929 9 4 3.05 Sysmiss 2 1.844 Electrified Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Electrified 0 58 99.284 1 9866 9824.872 Sysmiss 2 1.844 Source of energy for cooking Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Source of energy for cooking 1 31 41.4 2 9772 9744.854 3 44 55.883 4 74 78.631 5 3 3.388 Sysmiss 2 1.844 Water facilities Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Water facilities 1 9320 9322.358 3 460 441.551 4 129 146.758 5 15 13.489 Sysmiss 2 1.844 Have a bathroom or not Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Have a bathroom or not 0 No 176 229.135 1 Yes, have a bathroom 9748 9695.021 Sysmiss 2 1.844 Transportation facilities Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 Transportation facilities 1 500m or Less 8335 8438.975 2 501m -3000m 1502 1414.642 3 More than 3000m 82 67.582 Sysmiss 7 4.8 Schooling facilities Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 Schooling facilities 1 500m or Less 5533 5623.324 2 501m -3000m 4209 4109.63 3 More than 3000m 177 188.246 Sysmiss 7 4.8 Health facilities Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 Health facilities 1 500m or Less 6974 7057.199 2 501m -3000m 2720 2646.158 3 More than 3000m 225 217.843 Sysmiss 7 4.8 Number of cars Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of cars 0 7804 7471.765 1 2056 2356.968 2 56 84.622 3 3 5.594 7 3 3.212 8 2 1.995 Sysmiss 2 1.844 Number of cookers, stoves, ovens, etc... Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of cookers, stoves, ovens, etc... 0 98 108.517 1 9730 9719.544 2 91 90.616 3 5 5.479 Sysmiss 2 1.844 Number of refrigerators Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of refrigerators 0 353 267.515 1 9506 9591.892 2 62 61.981 3 3 2.768 Sysmiss 2 1.844 Number of freezers Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of freezers 0 8736 8529.039 1 1178 1376.062 2 8 17.766 7 2 1.288 Sysmiss 2 1.844 Number of vacuum cleaners Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of vacuum cleaners 0 6510 6219.515 1 3394 3675.258 2 12 15.153 3 3 3.793 4 1 1.123 7 2 2.671 9 2 6.642 Sysmiss 2 1.844 Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 0 6520 6439.007 1 3395 3474.663 2 8 9.161 4 1 1.324 Sysmiss 2 1.844 Number of washing machines Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of washing machines 0 507 478.18 1 9354 9378.444 2 57 62.388 3 4 3.884 4 1 1.18 7 1 0.0801 Sysmiss 2 1.844 Number of clothes dryers Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of clothes dryers 0 9292 9130.943 1 627 789.016 2 1 1.364 3 1 1.346 7 1 0.523 8 2 0.963 Sysmiss 2 1.844 Number of dishwashers Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of dishwashers 0 9633 9564 1 278 343.562 2 2 6.614 4 1 1.117 7 7 5.545 8 3 3.318 Sysmiss 2 1.844 Number of water filters Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of water filters 0 9562 9521.624 1 348 388.822 2 1 0.412 7 11 10.832 8 2 2.466 Sysmiss 2 1.844 Number of LCDs or LEDs Tvs Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of LCDs or LEDs Tvs 0 3833 3738.403 1 5563 5601.968 2 474 521.381 3 44 53.337 4 5 5.966 5 4 1.779 7 1 1.323 Sysmiss 2 1.844 Number of TVs Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of TVs 0 6366 6299.619 1 3451 3519.813 2 85 89.005 3 13 8.108 4 1 1.177 7 5 5.184 8 3 1.25 Sysmiss 2 1.844 Number of satellite dishes, receivers, etc… Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of satellite dishes, receivers 0 874 759.152 1 9034 9149.13 2 15 15.587 8 1 0.287 Sysmiss 2 1.844 Number of electric fans Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of electric fans 0 1305 1268.253 1 5611 5531.438 2 1972 2082.79 3 682 711.607 4 216 204.169 5 100 94.076 6 25 20.947 7 7 5.913 8 6 4.962 Sysmiss 2 1.844 Number of air conditioners Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of air conditioners 0 7488 7443.522 1 2065 2124.584 2 267 254.83 3 70 70.393 4 22 19.809 5 5 4.963 6 2 1.552 7 3 3.022 8 2 1.481 Sysmiss 2 1.844 Number of centeral air conditioners Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of centeral air conditioners 0 9868 9845.004 1 40 61.867 2 2 1.169 3 1 3.42 7 8 7.311 8 5 5.386 Sysmiss 2 1.844 Number of centeral heaters Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of centeral heaters 0 9855 9833.836 1 47 66.08 7 13 14.146 8 9 10.093 Sysmiss 2 1.844 Number of Land lines Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of Land lines 0 7129 6774.118 1 2784 3136.714 2 1 3.657 7 8 7.239 8 2 2.428 Sysmiss 2 1.844 Number of home libraries Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of home libraries 0 9020 8914.949 1 866 962.9 2 5 7 7 13 9.858 8 5 5.182 9 15 24.267 Sysmiss 2 1.844 Number of local internet connections Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of local internet connections 0 4871 4973.615 1 4982 4877.685 2 48 50.235 3 8 7.476 4 5 4.777 5 4 4.372 6 1 1.381 7 4 4.363 8 1 0.252 Sysmiss 2 1.844 Number of Israeli internet connections Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of Israeli internet connections 0 8336 8044.617 1 1372 1658.618 2 158 156.471 3 30 36.588 4 14 12.904 5 4 5.649 6 1 0.412 7 3 2.762 8 6 6.136 Sysmiss 2 1.844 Number of local cell phones Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of local cell phones 0 745 1225.664 1 1310 1273.274 2 3921 3388.408 3 1489 1495.761 4 1144 1162.2 5 676 718.341 6 336 355.149 7 133 130.297 8 129 129.97 9 41 45.092 Sysmiss 2 1.844 Number of Israeli cell phones Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of Israeli cell phones 0 7625 7292.631 1 1269 1294.851 2 701 779.993 3 156 243.917 4 97 183.337 5 41 74.623 6 16 24.407 7 9 17.749 8 9 12.236 9 1 0.412 Sysmiss 2 1.844 Number of computers Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of computers 0 8949 8802.025 1 959 1098.662 2 12 15.659 3 2 4.054 6 1 3.435 8 1 0.321 Sysmiss 2 1.844 Number of laptops Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of laptops 0 7660 7525.598 1 2104 2221.275 2 109 120.579 3 26 30.379 4 5 5.64 6 1 1.255 7 14 13.841 8 5 5.59 Sysmiss 2 1.844 Number of smart phones Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of smart phones 0 1779 1752.389 1 1934 1871.184 2 3689 3361.914 3 1071 1186.152 4 725 871.109 5 453 558.192 6 169 203.36 7 58 68.495 8 34 42.234 9 12 9.127 Sysmiss 2 1.844 Number of tablets Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of tablets 0 8703 8563.615 1 1055 1170.014 2 118 133.59 3 26 30.618 4 11 14.143 5 4 4.998 7 5 5.084 8 2 2.094 Sysmiss 2 1.844 Number of WIFI Batteries Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of WIFI Batteries 0 9593 9579.604 1 305 315.137 2 3 5.505 7 17 16.858 8 6 7.052 Sysmiss 2 1.844 Number of UPS Batteries Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of UPS Batteries 0 9577 9582.339 1 317 310.616 2 3 2.874 3 2 2.887 4 1 1.426 7 16 15.876 8 8 8.138 Sysmiss 2 1.844 Number of electric generators Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of electric generators 0 9783 9786.271 1 124 122.713 7 12 10.279 8 5 4.892 Sysmiss 2 1.844 Number of solar units Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of solar units 0 9756 9703.821 1 128 179.475 2 8 6.226 3 1 0.75 4 9 12.675 5 1 1.333 6 4 1.534 7 8 9.844 8 9 8.499 Sysmiss 2 1.844 Number of solar heaters Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of solar heaters 0 4753 4606.324 1 5146 5291.274 2 20 22.616 7 4 2.616 8 1 1.327 Sysmiss 2 1.844 Number of Video/ DVD's Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Number of Video/ DVD's 0 9577 9501.929 1 322 397.34 2 6 6.807 3 1 1.013 4 1 1.328 7 10 10.075 8 7 5.664 Sysmiss 2 1.844 Toilet facility Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Toilet facility 1 5640 5878.918 2 4278 4039.078 3 6 6.16 Sysmiss 2 1.844 Toilet facility shared Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 Toilet facility shared 1 125 154.817 2 9793 9763.179 3 6 6.16 Sysmiss 2 1.844 Garbage disposal method Data Dictionary & Questionnaire/Codebook All households 9924 9924.156 2 1.844 110 700 192.2 196.262 79.719 83.808 Garbage disposal method Planting land Data Dictionary & Questionnaire/Codebook All households 9919 9920.209 7 5.791 Planting land 0 9028 9015.459 1 891 904.75 Sysmiss 7 5.791 Area of planting land Data Dictionary & Questionnaire/Codebook All households 9919 7 0 30000000 19107.635 401870.716 Area of planting land Has livestock Data Dictionary & Questionnaire/Codebook All households 9919 7 Has livestock 0 None 9296 1 Own one or many 623 Sysmiss 7 Number of livestock Data Dictionary & Questionnaire/Codebook All households 9919 7 0 50000 8.477 511.653 Number of livestock During the first half of 2018, did the HH or any member of HH received any type Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the first half of 2018, did the HH or any member of HH received any type of assistance 1 Yes 3260 3086.669 2 No 6661 6834.529 Sysmiss 5 4.802 Data Dictionary & Questionnaire/Codebook All households 3260 3086.669 6666 6839.331 1 food 1840 1690.421 2 Free medicine\ health treatment 63 57.65 3 Clothes 6 5.781 4 Job opportunities 10 8.174 5 Compensation martyrs/injuries 23 20.682 6 Cash 526 555.331 7 Health insurance 63 50.383 8 food parcels/coupons 534 499.68 9 Vouchers 188 189.067 10 School feeding 0 0 11 0 0 12 Drinking water 0 0 13 electric recharge fees 0 0 14 residential (shelter, rental fees, caravans) 2 1.598 15 Other 5 7.903 Sysmiss 6666 6839.331 Data Dictionary & Questionnaire/Codebook All households 3260 3086.669 6666 6839.331 0 9999 648.707 680.942 996.19 1050.453 Data Dictionary & Questionnaire/Codebook All households 3260 3086.669 6666 6839.331 1 Ministry of Social Development 525 543.966 2 Other PA agencies 100 114.801 3 Political parties 69 72.142 4 Zakat 53 65.816 5 International /developmental agencies 264 264.641 6 UNRWA 1933 1719.131 7 Foreign and Arab countries 11 9.159 8 Charities/religious orgs. 121 128.409 9 Relatives/Family memberss 75 65.136 10 Friends/neighbors/charitable people etc. 56 59.254 11 trade/workers unions 38 25.225 12 National banks 1 1.36 13 local reconciliation Committee 1 1.36 14 Other 13 16.271 Sysmiss 6666 6839.331 Nature of assistance-First assistance Data Dictionary & Questionnaire/Codebook All households 3260 3086.669 6666 6839.331 Nature of assistance-First assistance 1 Periodic 2833 2639.552 2 Emergency 427 447.117 Sysmiss 6666 6839.331 Data Dictionary & Questionnaire/Codebook All households 3260 3086.669 6666 6839.331 1 Strongly Satisfied 367 367.797 2 Satisfied 2059 1920.426 3 Not Satisfied 698 653.863 4 Strongly Not satisfied 134 141.9 9 Don't know/No answer 2 2.683 Sysmiss 6666 6839.331 Reason for dissatisfaction on assistance-First assistance Data Dictionary & Questionnaire/Codebook All households 827 792.349 9099 9133.651 Reason for dissatisfaction on assistance-First assistance 1 because of quantity 408 369.128 2 because of quality 18 20.011 3 because of quantity and quality 272 270.482 4 frequency of receiving assistance 120 126.264 5 other 6 4.144 9 Don't know/No answer 3 2.32 Sysmiss 9099 9133.651 Data Dictionary & Questionnaire/Codebook All households 1604 1477.252 8322 8448.748 1 food 314 293.867 2 Free medicine\ health treatment 59 51.385 3 Clothes 8 11.855 4 Job opportunities 1 1.096 5 Compensation martyrs/injuries 13 10.529 6 Cash 665 616.082 7 Health insurance 151 120.284 8 food parcels/coupons 242 223.244 9 Vouchers 123 130.684 10 School feeding 1 1.221 11 0 0 12 Drinking water 0 0 13 electric recharge fees 2 1.405 14 residential (shelter, rental fees, caravans) 7 4.04 15 Other 18 11.562 Sysmiss 8322 8448.748 Data Dictionary & Questionnaire/Codebook All households 1604 1477.252 8322 8448.748 0 9999 934.906 924.627 1255.893 1209.821 Data Dictionary & Questionnaire/Codebook All households 1604 1477.252 8322 8448.748 1 Ministry of Social Development 628 601.125 2 Other PA agencies 78 62.126 3 Political parties 76 70.37 4 Zakat 65 62.599 5 International /developmental agencies 83 86.851 6 UNRWA 201 198.474 7 Foreign and Arab countries 16 16.882 8 Charities/religious orgs. 157 130.353 9 Relatives/Family memberss 112 88.467 10 Friends/neighbors/charitable people etc. 69 65.377 11 trade/workers unions 98 74.038 12 National banks 0 0 13 local reconciliation Committee 7 6.711 14 Other 14 13.881 Sysmiss 8322 8448.748 Nature of assistance-Second assistance Data Dictionary & Questionnaire/Codebook All households 1604 1477.252 8322 8448.748 Nature of assistance-Second assistance 1 Periodic 1125 1051.962 2 Emergency 479 425.29 Sysmiss 8322 8448.748 Data Dictionary & Questionnaire/Codebook All households 1604 1477.252 8322 8448.748 1 Strongly Satisfied 228 234.843 2 Satisfied 1094 967.372 3 Not Satisfied 234 228.798 4 Strongly Not satisfied 48 46.239 9 Don't know/No answer 0 0 Sysmiss 8322 8448.748 Reason for dissatisfaction on assistance-Second assistance Data Dictionary & Questionnaire/Codebook All households 276 268.498 9650 9657.502 Reason for dissatisfaction on assistance-Second assistance 1 because of quantity 148 140.838 2 because of quality 6 7.892 3 because of quantity and quality 65 66.565 4 frequency of receiving assistance 51 49.019 5 other 5 3.509 9 Don't know/No answer 1 0.675 Sysmiss 9650 9657.502 Data Dictionary & Questionnaire/Codebook All households 719 667.011 9207 9258.989 1 food 125 121.599 2 Free medicine\ health treatment 35 36.978 3 Clothes 8 8.75 4 Job opportunities 0 0 5 Compensation martyrs/injuries 6 5.905 6 Cash 190 168.59 7 Health insurance 143 118.486 8 food parcels/coupons 153 149.124 9 Vouchers 42 39.093 10 School feeding 0 0 11 0 0 12 Drinking water 3 3.66 13 electric recharge fees 0 0 14 residential (shelter, rental fees, caravans) 2 2.645 15 Other 12 12.18 Sysmiss 9207 9258.989 Value for the first type of assiatance - Third assistance Data Dictionary & Questionnaire/Codebook All households 719 667.011 9207 9258.989 0 9999 634.179 600.661 1168.677 1067.659 Value for the first type of assiatance - Third assistance Data Dictionary & Questionnaire/Codebook All households 719 667.011 9207 9258.989 1 Ministry of Social Development 174 156.168 2 Other PA agencies 54 47.969 3 Political parties 51 47.51 4 Zakat 52 54.167 5 International /developmental agencies 35 39.615 6 UNRWA 48 48.233 7 Foreign and Arab countries 9 8.441 8 Charities/religious orgs. 141 127.437 9 Relatives/Family memberss 59 58.137 10 Friends/neighbors/charitable people etc. 33 28.089 11 trade/workers unions 57 44.394 12 National banks 0 0 13 local reconciliation Committee 3 2.776 14 Other 3 4.075 Sysmiss 9207 9258.989 Nature of assistance-Third assistance Data Dictionary & Questionnaire/Codebook All households 719 667.011 9207 9258.989 Nature of assistance-Third assistance 1 Periodic 385 343.397 2 Emergency 334 323.614 Sysmiss 9207 9258.989 Data Dictionary & Questionnaire/Codebook All households 719 667.011 9207 9258.989 1 Strongly Satisfied 86 92.091 2 Satisfied 541 483.368 3 Not Satisfied 70 70.381 4 Strongly Not satisfied 22 21.17 9 Don't know/No answer 0 0 Sysmiss 9207 9258.989 Reason for dissatisfaction on assistance-Third assistance Data Dictionary & Questionnaire/Codebook All households 90 89.739 9836 9836.261 Reason for dissatisfaction on assistance-Third assistance 1 because of quantity 45 38.185 2 because of quality 3 3.571 3 because of quantity and quality 23 32.642 4 frequency of receiving assistance 16 12.784 5 other 3 2.557 9 Don't know/No answer 0 0 Sysmiss 9836 9836.261 Data Dictionary & Questionnaire/Codebook All households 288 273.337 9638 9652.663 1 food 47 45.682 2 Free medicine\ health treatment 5 3.766 3 Clothes 9 8.717 4 Job opportunities 0 0 5 Compensation martyrs/injuries 2 2.406 6 Cash 85 80.456 7 Health insurance 51 43.519 8 food parcels/coupons 50 45.746 9 Vouchers 28 31.639 10 School feeding 0 0 11 0 0 12 Drinking water 4 4.34 13 electric recharge fees 1 1.211 14 residential (shelter, rental fees, caravans) 0 0 15 Other 6 5.855 Sysmiss 9638 9652.663 Value for the first type of assiatance - Fourth assistance Data Dictionary & Questionnaire/Codebook All households 288 273.337 9638 9652.663 10 9000 575.063 624.228 1131.203 1205.23 Value for the first type of assiatance - Fourth assistance Source of the first type of assistance - Fourth assistance Data Dictionary & Questionnaire/Codebook All households 288 273.337 9638 9652.663 Source of the first type of assistance - Fourth assistance 1 Ministry of Social Development 61 60.936 2 Other PA agencies 12 10.769 3 Political parties 23 19.079 4 Zakat 21 21.396 5 International /developmental agencies 16 16.955 6 UNRWA 10 7.426 7 Foreign and Arab countries 9 8.206 8 Charities/religious orgs. 69 64.523 9 Relatives/Family memberss 26 26.568 10 Friends/neighbors/charitable people etc. 22 20.585 11 trade/workers unions 17 15.108 12 National banks 0 0 13 local reconciliation Committee 1 1.213 14 Other 1 0.574 Sysmiss 9638 9652.663 Nature of assistance-Fourth assistance Data Dictionary & Questionnaire/Codebook All households 288 273.337 9638 9652.663 Nature of assistance-Fourth assistance 1 Periodic 130 123.359 2 Emergency 158 149.978 Sysmiss 9638 9652.663 Data Dictionary & Questionnaire/Codebook All households 288 273.337 9638 9652.663 1 Strongly Satisfied 35 35.586 2 Satisfied 230 217.433 3 Not Satisfied 17 14.748 4 Strongly Not satisfied 6 5.57 9 Don't know/No answer 0 0 Sysmiss 9638 9652.663 Reason for dissatisfaction on assistance-Fourth assistance Data Dictionary & Questionnaire/Codebook All households 23 20.318 9903 9905.682 Reason for dissatisfaction on assistance-Fourth assistance 1 because of quantity 10 8.633 2 because of quality 3 2.433 3 because of quantity and quality 2 2.285 4 frequency of receiving assistance 7 6.426 5 other 1 0.54 9 Don't know/No answer 0 0 Sysmiss 9903 9905.682 Data Dictionary & Questionnaire/Codebook All households 93 91.411 9833 9834.589 1 food 16 15.237 2 Free medicine\ health treatment 2 0.912 3 Clothes 8 8.435 4 Job opportunities 1 1.179 5 Compensation martyrs/injuries 0 0 6 Cash 33 36.868 7 Health insurance 13 12.671 8 food parcels/coupons 13 9.79 9 Vouchers 5 3.875 10 School feeding 0 0 11 0 0 12 Drinking water 1 1.245 13 electric recharge fees 0 0 14 residential (shelter, rental fees, caravans) 0 0 15 Other 1 1.2 Sysmiss 9833 9834.589 Data Dictionary & Questionnaire/Codebook All households 93 91.411 9833 9834.589 15 6000 630.452 689.518 1116.875 1186.518 Data Dictionary & Questionnaire/Codebook All households 93 91.411 9833 9834.589 1 Ministry of Social Development 15 15.384 2 Other PA agencies 5 4.96 3 Political parties 2 1.467 4 Zakat 8 8.273 5 International /developmental agencies 7 7.685 6 UNRWA 4 2.687 7 Foreign and Arab countries 2 2.011 8 Charities/religious orgs. 26 24.671 9 Relatives/Family memberss 7 6.836 10 Friends/neighbors/charitable people etc. 11 11.931 11 trade/workers unions 6 5.506 12 National banks 0 0 13 local reconciliation Committee 0 0 14 Other 0 0 Sysmiss 9833 9834.589 Nature of assistance-Fifth assistance Data Dictionary & Questionnaire/Codebook All households 93 91.411 9833 9834.589 Nature of assistance-Fifth assistance 1 Periodic 45 45.288 2 Emergency 48 46.123 Sysmiss 9833 9834.589 Data Dictionary & Questionnaire/Codebook All households 93 91.411 9833 9834.589 1 Strongly Satisfied 20 22.596 2 Satisfied 67 62.535 3 Not Satisfied 3 3.122 4 Strongly Not satisfied 3 3.158 9 Don't know/No answer 0 0 Sysmiss 9833 9834.589 Reason for dissatisfaction on assistance-Fifth assistance Data Dictionary & Questionnaire/Codebook All households 6 6.281 9920 9919.719 Reason for dissatisfaction on assistance-Fifth assistance 1 because of quantity 2 1.927 2 because of quality 0 0 3 because of quantity and quality 0 0 4 frequency of receiving assistance 3 3.4 5 other 1 0.954 9 Don't know/No answer 0 0 Sysmiss 9920 9919.719 Data Dictionary & Questionnaire/Codebook All households 31 30.392 9895 9895.608 1 food 0 0 2 Free medicine\ health treatment 0 0 3 Clothes 3 2.885 4 Job opportunities 1 1.208 5 Compensation martyrs/injuries 0 0 6 Cash 12 11.75 7 Health insurance 6 5.597 8 food parcels/coupons 5 4.405 9 Vouchers 2 2.267 10 School feeding 0 0 11 0 0 12 Drinking water 0 0 13 electric recharge fees 0 0 14 residential (shelter, rental fees, caravans) 0 0 15 Other 2 2.28 Sysmiss 9895 9895.608 Value for the first type of assiatance - Sixth assistance Data Dictionary & Questionnaire/Codebook All households 31 30.392 9895 9895.608 30 4050 739.839 743.315 1003.599 1024.221 Value for the first type of assiatance - Sixth assistance Source of the first type of assistance- Sixth assistance Data Dictionary & Questionnaire/Codebook All households 31 30.392 9895 9895.608 Source of the first type of assistance- Sixth assistance 1 Ministry of Social Development 5 4.088 2 Other PA agencies 2 2.304 3 Political parties 1 1.049 4 Zakat 3 3.565 5 International /developmental agencies 2 2.163 6 UNRWA 1 0.845 7 Foreign and Arab countries 5 5.048 8 Charities/religious orgs. 3 3.254 9 Relatives/Family memberss 4 3.669 10 Friends/neighbors/charitable people etc. 2 1.421 11 trade/workers unions 2 1.798 12 National banks 0 0 13 local reconciliation Committee 1 1.187 14 Other 0 0 Sysmiss 9895 9895.608 Nature of assistance-Sixth assistance Data Dictionary & Questionnaire/Codebook All households 31 30.392 9895 9895.608 Nature of assistance-Sixth assistance 1 Periodic 17 16.553 2 Emergency 14 13.839 Sysmiss 9895 9895.608 Data Dictionary & Questionnaire/Codebook All households 31 30.392 9895 9895.608 1 Strongly Satisfied 6 6.944 2 Satisfied 23 21.448 3 Not Satisfied 1 0.769 4 Strongly Not satisfied 1 1.231 9 Don't know/No answer 0 0 Sysmiss 9895 9895.608 Reason for dissatisfaction on assistance-Sixth assistance Data Dictionary & Questionnaire/Codebook All households 2 2 9924 9924 Reason for dissatisfaction on assistance-Sixth assistance 1 because of quantity 1 0.769 2 because of quality 0 0 3 because of quantity and quality 0 0 4 frequency of receiving assistance 1 1.231 5 other 0 0 9 Don't know/No answer 0 0 Sysmiss 9924 9924 Data Dictionary & Questionnaire/Codebook All households 14 14.713 9912 9911.287 1 food 2 2.23 2 Free medicine\ health treatment 2 2.253 3 Clothes 1 1.231 4 Job opportunities 0 0 5 Compensation martyrs/injuries 0 0 6 Cash 4 3.718 7 Health insurance 1 0.954 8 food parcels/coupons 1 0.948 9 Vouchers 0 0 10 School feeding 0 0 11 0 0 12 Drinking water 2 2.163 13 electric recharge fees 1 1.215 14 residential (shelter, rental fees, caravans) 0 0 15 Other 0 0 Sysmiss 9912 9911.287 Value for the first type of assiatance - Seventh assistance Data Dictionary & Questionnaire/Codebook All households 14 14.713 9912 9911.287 50 3600 629.286 546.231 1065.685 964.723 Value for the first type of assiatance - Seventh assistance Source of the first type of assistance - Seventh assistance Data Dictionary & Questionnaire/Codebook All households 14 14.713 9912 9911.287 Source of the first type of assistance - Seventh assistance 1 Ministry of Social Development 1 0.769 2 Other PA agencies 1 1.143 3 Political parties 0 0 4 Zakat 0 0 5 International /developmental agencies 2 2.163 6 UNRWA 0 0 7 Foreign and Arab countries 0 0 8 Charities/religious orgs. 6 6.575 9 Relatives/Family memberss 2 2.06 10 Friends/neighbors/charitable people etc. 1 1.049 11 trade/workers unions 1 0.954 12 National banks 0 0 13 local reconciliation Committee 0 0 14 Other 0 0 Sysmiss 9912 9911.287 Nature of assistance-Seventh assistance Data Dictionary & Questionnaire/Codebook All households 14 14.713 9912 9911.287 Nature of assistance-Seventh assistance 1 Periodic 6 6.067 2 Emergency 8 8.646 Sysmiss 9912 9911.287 Data Dictionary & Questionnaire/Codebook All households 14 14.713 9912 9911.287 1 Strongly Satisfied 4 4.611 2 Satisfied 9 8.872 3 Not Satisfied 0 0 4 Strongly Not satisfied 1 1.231 9 Don't know/No answer 0 0 Sysmiss 9912 9911.287 Reason for dissatisfaction on assistance-Seventh assistance Data Dictionary & Questionnaire/Codebook All households 1 1.231 9925 9924.769 Reason for dissatisfaction on assistance-Seventh assistance 1 because of quantity 0 0 2 because of quality 0 0 3 because of quantity and quality 1 1.231 4 frequency of receiving assistance 0 0 5 other 0 0 9 Don't know/No answer 0 0 Sysmiss 9925 9924.769 Data Dictionary & Questionnaire/Codebook All households 8 8.58 9918 9917.42 1 food 0 0 2 Free medicine\ health treatment 0 0 3 Clothes 0 0 4 Job opportunities 0 0 5 Compensation martyrs/injuries 0 0 6 Cash 4 4.326 7 Health insurance 0 0 8 food parcels/coupons 1 0.948 9 Vouchers 1 1.078 10 School feeding 1 1.143 11 0 0 12 Drinking water 0 0 13 electric recharge fees 0 0 14 residential (shelter, rental fees, caravans) 0 0 15 Other 1 1.086 Sysmiss 9918 9917.42 Value for the first type of assiatance - Eighth assistance Data Dictionary & Questionnaire/Codebook All households 8 8.58 9918 9917.42 200 9999 1727.75 1758.303 3360.145 3355.605 Value for the first type of assiatance - Eighth assistance Source of the first type of assistance - Eighth assistance Data Dictionary & Questionnaire/Codebook All households 8 8.58 9918 9917.42 Source of the first type of assistance - Eighth assistance 1 Ministry of Social Development 1 1.049 2 Other PA agencies 2 2.034 3 Political parties 0 0 4 Zakat 0 0 5 International /developmental agencies 1 1.078 6 UNRWA 0 0 7 Foreign and Arab countries 1 0.954 8 Charities/religious orgs. 3 3.465 9 Relatives/Family memberss 0 0 10 Friends/neighbors/charitable people etc. 0 0 11 trade/workers unions 0 0 12 National banks 0 0 13 local reconciliation Committee 0 0 14 Other 0 0 Sysmiss 9918 9917.42 Nature of assistance-Eighth assistance Data Dictionary & Questionnaire/Codebook All households 8 8.58 9918 9917.42 Nature of assistance-Eighth assistance 1 Periodic 4 4.551 2 Emergency 4 4.029 Sysmiss 9918 9917.42 Data Dictionary & Questionnaire/Codebook All households 8 8.58 9918 9917.42 1 Strongly Satisfied 2 2.192 2 Satisfied 6 6.388 3 Not Satisfied 0 0 4 Strongly Not satisfied 0 0 9 Don't know/No answer 0 0 Sysmiss 9918 9917.42 Reason for dissatisfaction on assistance-Eighth assistance Data Dictionary & Questionnaire/Codebook All households 0 0 9926 9926 Reason for dissatisfaction on assistance-Eighth assistance 1 because of quantity 0 0 2 because of quality 0 0 3 because of quantity and quality 0 0 4 frequency of receiving assistance 0 0 5 other 0 0 9 Don't know/No answer 0 0 Sysmiss 9926 9926 Data Dictionary & Questionnaire/Codebook All households 4 4.256 9922 9921.744 1 food 1 1.078 2 Free medicine\ health treatment 0 0 3 Clothes 0 0 4 Job opportunities 0 0 5 Compensation martyrs/injuries 0 0 6 Cash 1 1.049 7 Health insurance 0 0 8 food parcels/coupons 1 0.948 9 Vouchers 1 1.181 10 School feeding 0 0 11 0 0 12 Drinking water 0 0 13 electric recharge fees 0 0 14 residential (shelter, rental fees, caravans) 0 0 15 Other 0 0 Sysmiss 9922 9921.744 Data Dictionary & Questionnaire/Codebook All households 4 4.256 9922 9921.744 100 300 162.5 162.45 92.511 90.744 Source of the first type of assistance - Ninth assistance Data Dictionary & Questionnaire/Codebook All households 4 4.256 9922 9921.744 Source of the first type of assistance - Ninth assistance 1 Ministry of Social Development 0 0 2 Other PA agencies 0 0 3 Political parties 0 0 4 Zakat 0 0 5 International /developmental agencies 1 1.078 6 UNRWA 0 0 7 Foreign and Arab countries 1 0.948 8 Charities/religious orgs. 1 1.181 9 Relatives/Family memberss 0 0 10 Friends/neighbors/charitable people etc. 1 1.049 11 trade/workers unions 0 0 12 National banks 0 0 13 local reconciliation Committee 0 0 14 Other 0 0 Sysmiss 9922 9921.744 Nature of assistance-Ninth assistance Data Dictionary & Questionnaire/Codebook All households 4 4.256 9922 9921.744 Nature of assistance-Ninth assistance 1 Periodic 0 0 2 Emergency 4 4.256 Sysmiss 9922 9921.744 Data Dictionary & Questionnaire/Codebook All households 4 4.256 9922 9921.744 1 Strongly Satisfied 1 1.049 2 Satisfied 3 3.207 3 Not Satisfied 0 0 4 Strongly Not satisfied 0 0 9 Don't know/No answer 0 0 Sysmiss 9922 9921.744 Reason for dissatisfaction on assistance-Ninth assistance Data Dictionary & Questionnaire/Codebook All households 0 0 9926 9926 Reason for dissatisfaction on assistance-Ninth assistance 1 because of quantity 0 0 2 because of quality 0 0 3 because of quantity and quality 0 0 4 frequency of receiving assistance 0 0 5 other 0 0 9 Don't know/No answer 0 0 Sysmiss 9926 9926 Asked for HH who did not receive any assistance during the first half of 2018. Data Dictionary & Questionnaire/Codebook All households 6661 6834.529 3265 3091.471 Asked for HH who did not receive any assistance during the first half of 2018.According to your opinion, what is the main reason of not receiving the assistance? 1 We have not applied for assistance/didn't ask for it 5295 5448.587 2 We applied and didn't get any due to living in remote area 59 54.486 3 We applied and didn't get any due to living in rich area 169 160.646 4 We applied and didn't get any due to a political reason 46 48.625 5 We applied and didn't get any due to not meeting the criteri 300 331.955 6 We applied and didn't get any due to lack of funding 58 41.683 7 249 236.359 8 We applied and didn't get any we don't know why 406 403.203 9 Other 79 108.986 Sysmiss 3265 3091.471 Regardless if your HH received assistance or not, would you say that your HH is Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 Regardless if your HH received assistance or not, would you say that your HH is in need of assistance 1 Yes, a lot 3084 2905.394 2 Yes, somewhat 2300 2361.319 3 No, we do not need assistance 4537 4654.485 Sysmiss 5 4.802 Cash Data Dictionary & Questionnaire/Codebook All households 5384 5266.713 4542 4659.287 Cash 1 Yes 5009 4865.965 2 No 375 400.748 Sysmiss 4542 4659.287 Food Data Dictionary & Questionnaire/Codebook All households 5384 5266.713 4542 4659.287 Food 1 Yes 4127 3934.125 2 No 1257 1332.588 Sysmiss 4542 4659.287 Health Insurance Data Dictionary & Questionnaire/Codebook All households 5384 5266.713 4542 4659.287 Health Insurance 1 Yes 1732 1656.98 2 No 3652 3609.733 Sysmiss 4542 4659.287 Provision for disabled Data Dictionary & Questionnaire/Codebook All households 5384 5266.713 4542 4659.287 Provision for disabled 1 Yes 386 399.527 2 No 4998 4867.186 Sysmiss 4542 4659.287 Provision for elderly Data Dictionary & Questionnaire/Codebook All households 5384 5266.713 4542 4659.287 Provision for elderly 1 Yes 651 699.539 2 No 4733 4567.174 Sysmiss 4542 4659.287 Provisions for orphans Data Dictionary & Questionnaire/Codebook All households 5384 5266.713 4542 4659.287 Provisions for orphans 1 Yes 135 141.927 2 No 5249 5124.786 Sysmiss 4542 4659.287 Social interventions with family Data Dictionary & Questionnaire/Codebook All households 5384 5266.713 4542 4659.287 Social interventions with family 1 Yes 593 567.669 2 No 4791 4699.045 Sysmiss 4542 4659.287 Exemption of school fees Data Dictionary & Questionnaire/Codebook All households 5384 5266.713 4542 4659.287 Exemption of school fees 1 Yes 1396 1405.004 2 No 3988 3861.709 Sysmiss 4542 4659.287 Emergency assistance Data Dictionary & Questionnaire/Codebook All households 5384 5266.713 4542 4659.287 Emergency assistance 1 Yes 2570 2413.028 2 No 2814 2853.685 Sysmiss 4542 4659.287 Job opportunity Data Dictionary & Questionnaire/Codebook All households 5384 5266.713 4542 4659.287 Job opportunity 1 Yes 3009 2695.847 2 No 2375 2570.866 Sysmiss 4542 4659.287 Training Data Dictionary & Questionnaire/Codebook All households 5384 5266.713 4542 4659.287 Training 1 Yes 1495 1413.857 2 No 3889 3852.856 Sysmiss 4542 4659.287 Project Assistance Data Dictionary & Questionnaire/Codebook All households 5384 5266.713 4542 4659.287 Project Assistance 1 Yes 3121 2860.762 2 No 2263 2405.951 Sysmiss 4542 4659.287 Exemption of customs Data Dictionary & Questionnaire/Codebook All households 5384 5266.713 4542 4659.287 Exemption of customs 1 Yes 153 160.699 2 No 5231 5106.014 Sysmiss 4542 4659.287 Housing assistance Data Dictionary & Questionnaire/Codebook All households 5384 5266.713 4542 4659.287 Housing assistance 1 Yes 2056 1918.393 2 No 3328 3348.32 Sysmiss 4542 4659.287 Other/ Specify.... Data Dictionary & Questionnaire/Codebook All households 5384 5266.713 4542 4659.287 Other/ Specify.... 1 Yes 493 487.038 2 No 4891 4779.675 Sysmiss 4542 4659.287 Regardless if your HH received assistance or not, in general, to what extent tha Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 Regardless if your HH received assistance or not, in general, to what extent that assistance programs is targeted the needy in your community 1 Assistance is primarily reaches the needy 893 885.168 2 Assistance primarily targets the needy, but often others who 4559 4426.674 3 In general, assistance is distributed without any distinctio 2678 2629.613 9 Don't know/No answer 1791 1979.744 Sysmiss 5 4.802 How many times Did you worry that your household would would not have enough food? Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the past 30 days, How many times Did you worry that your household would would not have enough food? 0 None 6353 6491.821 1 once or twice 1196 1193.766 2 3 to 10 times 1311 1256.638 3 more than 10 times 1050 964.115 9 Don't know/No answer 11 14.857 Sysmiss 5 4.802 How many times How many times were you or any household member not able to eat the kinds of foods you preferred because of a lack of resources? Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the past 30 days, how many times were you or any household member not able to eat the kinds of foods you preferred because of a lack of resources? 0 None 6068 6208.705 1 once or twice 1399 1410.572 2 3 to 10 times 1493 1424.441 3 more than 10 times 949 861.982 9 Don't know/No answer 12 15.498 Sysmiss 5 4.802 How many times did you or any household member eat a limited variety of foods due to a lack of resources? Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the past 30 days, how many times did you or any household member eat a limited variety of foods due to a lack of resources? 0 None 6113 6265.93 1 once or twice 1313 1350.274 2 3 to 10 times 1571 1485.784 3 more than 10 times 913 805.632 9 Don't know/No answer 11 13.578 Sysmiss 5 4.802 How many times did you or any household member eat food that you preferred not to eat because of a lack of resources to obtain other types of food? Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the past 30 days, how many times did you or any household member eat food that you preferred not to eat because of a lack of resources to obtain other types of food? 0 None 6409 6536.372 1 once or twice 1317 1333.954 2 3 to 10 times 1442 1363.418 3 more than 10 times 740 672.601 9 Don't know/No answer 13 14.854 Sysmiss 5 4.802 How many times did you or any household member eat a smaller meal than you felt you needed because there was not enough food? Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the past 30 days, how many times did you or any household member eat a smaller meal than you felt you needed because there was not enough food? 0 None 7122 7217.6 1 once or twice 1068 1073.515 2 3 to 10 times 1128 1086.943 3 more than 10 times 590 526.545 9 Don't know/No answer 13 16.596 Sysmiss 5 4.802 How many times did you or any other household member eat fewer meals in a day because there was not enough food? Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the past 30 days, how many times did you or any other household member eat fewer meals in a day because there was not enough food? 0 None 7438 7561.744 1 once or twice 931 912.445 2 3 to 10 times 940 896.793 3 more than 10 times 601 535.829 9 Don't know/No answer 11 14.387 Sysmiss 5 4.802 How many times Was there ever no food at all in your household because there were not resources to get more? Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the past 30 days, how many times was there ever no food at all in your household because there were not resources to get more? 0 None 8195 8285.364 1 once or twice 763 730.04 2 3 to 10 times 639 599.176 3 more than 10 times 315 292.313 9 Don't know/No answer 9 14.305 Sysmiss 5 4.802 How many times did you or any household member go to sleep at night hungry because there was not enough food? Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the past 30 days, how many times did you or any household member go to sleep at night hungry because there was not enough food? 0 None 9154 9158.68 1 once or twice 378 379.944 2 3 to 10 times 261 252.12 3 more than 10 times 118 115.891 9 Don't know/No answer 10 14.563 Sysmiss 5 4.802 How many times Did you or any household member go a a whole day and night without eating anything because there was not enough food? Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the past 30 days, how many times did you or any household member go a a whole day and night without eating anything because there was not enough food? 0 None 9408 9397.14 1 once or twice 305 302.547 2 3 to 10 times 129 136.744 3 more than 10 times 67 65.291 9 Don't know/No answer 12 19.476 Sysmiss 5 4.802 Did the household get any loan during the past 6 months- Loans and advances from government Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 Did the household get any loan during the past 6 months- Loans and advances from government 1 Yes, I know the value 105 116.413 2 yes, but I don't know the vale 62 71.898 3 No 9687 9643.05 4 no answer 19 14.333 9 I don't know 48 75.504 Sysmiss 5 4.802 Did the household get any loan during the past 6 months- Loans from commercial banks Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 Did the household get any loan during the past 6 months- Loans from commercial banks 1 Yes, I know the value 221 224.913 2 yes, but I don't know the vale 81 86.668 3 No 9536 9500.527 4 no answer 19 14.045 9 I don't know 64 95.046 Sysmiss 5 4.802 Did the household get any loan during the past 6 months- Loans from specialized institutions Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 Did the household get any loan during the past 6 months- Loans from specialized institutions 1 Yes, I know the value 260 241.058 2 yes, but I don't know the vale 82 80.353 3 No 9488 9479.774 4 no answer 17 12.616 9 I don't know 74 107.397 Sysmiss 5 4.802 Did the household get any loan during the past 6 months - Loans and advances from individual (friends/family/ select .......) Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 Did the household get any loan during the past 6 months - Loans and advances from individual (friends/family/ select .......) 1 Yes, I know the value 2317 2164.187 2 yes, but I don't know the vale 607 577.624 3 No 6900 7060.657 4 no answer 21 17.753 9 I don't know 76 100.977 Sysmiss 5 4.802 Did the household get any loan during the past 6 months - loans from other sources Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 Did the household get any loan during the past 6 months - loans from other sources 1 Yes, I know the value 84 99.428 2 yes, but I don't know the vale 47 54.5 3 No 9704 9658.339 4 no answer 17 12.221 9 I don't know 69 96.711 Sysmiss 5 4.802 What is the value of the each of the loans in NIS- Loans and advances from government Data Dictionary & Questionnaire/Codebook All households 105 116.413 9821 9809.587 0 90000 14536.667 16503.818 21713.551 23102.15 What is the value of the each of the loans in NIS- Loans and advances from government What is the value of the each of the loans in NIS- Loans from commercial banks Data Dictionary & Questionnaire/Codebook All households 221 224.913 9705 9701.087 0 99999 31212.733 30566.646 27263.853 27670.257 What is the value of the each of the loans in NIS- Loans from commercial banks What is the value of the each of the loans in NIS- Loans from specialized institutions Data Dictionary & Questionnaire/Codebook All households 260 241.058 9666 9684.942 0 99999 14971.112 15309.228 18886.315 19966.538 What is the value of the each of the loans in NIS- Loans from specialized institutions What is the value of the each of the loans in NIS- Loans and advances from individual (friends/family/ select .......) Data Dictionary & Questionnaire/Codebook All households 2317 2164.187 7609 7761.813 0 99999 8173.47 8174.893 12763.918 12727.06 What is the value of the each of the loans in NIS- Loans and advances from individual (friends/family/ select .......) What is the value of the each of the loans in NIS- loans from other sources/ spc Data Dictionary & Questionnaire/Codebook All households 85 100.645 9841 9825.355 0 99999 14116.635 13229.39 20715.53 19779.811 What is the value of the each of the loans in NIS- loans from other sources Was the loans money used to spend - Living or food Data Dictionary & Questionnaire/Codebook All households 3418 3227.178 6508 6698.822 Was the loans money used to spend - Living or food 1 Yes 2276 2142.077 2 No 1138 1079.988 9 Don't know 4 5.113 Sysmiss 6508 6698.822 Was the loans money used to spend - Construction / expansion of housing / mainte Data Dictionary & Questionnaire/Codebook All households 3418 3227.178 6508 6698.822 Was the loans money used to spend - Construction / expansion of housing / mainte 1 Yes 799 734.887 2 No 2616 2487.658 9 Don't know 3 4.633 Sysmiss 6508 6698.822 Was the loans money used to spend - Marriage of a family member Data Dictionary & Questionnaire/Codebook All households 3418 3227.178 6508 6698.822 Was the loans money used to spend - Marriage of a family member 1 Yes 542 435.105 2 No 2873 2786.473 9 Don't know 3 5.601 Sysmiss 6508 6698.822 Was the loans money used to spend - Purchase of furniture or equipment Data Dictionary & Questionnaire/Codebook All households 3418 3227.178 6508 6698.822 Was the loans money used to spend - Purchase of furniture or equipment 1 Yes 338 292.864 2 No 3078 2930.169 9 Don't know 2 4.146 Sysmiss 6508 6698.822 Was the loans money used to spend - Teach a family member Data Dictionary & Questionnaire/Codebook All households 3418 3227.178 6508 6698.822 Was the loans money used to spend - Teach a family member 1 Yes 513 517.133 2 No 2901 2704.255 9 Don't know 4 5.79 Sysmiss 6508 6698.822 Was the loans money used to spend - Buy / expand Real Estate Data Dictionary & Questionnaire/Codebook All households 3418 3227.178 6508 6698.822 Was the loans money used to spend - Buy / expand Real Estate 1 Yes 116 110.322 2 No 3300 3112.509 9 Don't know 2 4.348 Sysmiss 6508 6698.822 Was the loans money used to spend - Buy a car Data Dictionary & Questionnaire/Codebook All households 3418 3227.178 6508 6698.822 Was the loans money used to spend - Buy a car 1 Yes 147 148.802 2 No 3267 3072.216 9 Don't know 4 6.16 Sysmiss 6508 6698.822 Was the loans money used to spend - Other Data Dictionary & Questionnaire/Codebook All households 3418 3227.178 6508 6698.822 Was the loans money used to spend - Other 1 Yes 476 465.896 2 No 2934 2754.156 9 Don't know 8 7.126 Sysmiss 6508 6698.822 During the first half of the survey year, did you or any of your HH members witness water shortag Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the first half of the survey year, did you or any of your HH members witness water shortag 1 Yes 4065 3906.9 2 No 5856 6014.298 Sysmiss 5 4.802 During the first half of the survey year, did you or any of your HH members witness assets/project (including land) loss/damage resulting from Israeli aggression Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the first half of the survey year, did you or any of your HH members witness assets/project (including land) loss/damage resulting from Israeli aggression 1 Yes 182 187.514 2 No 9739 9733.685 Sysmiss 5 4.802 During the first half of the survey year, did you or any of your HH members witness assets/project (including land) loss/damage resulting from other reasons Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the first half of the survey year, did you or any of your HH members witness assets/project (including land) loss/damage resulting from other reasons 1 Yes 216 201.83 2 No 9705 9719.369 Sysmiss 5 4.802 During the first half of the survey year, did you or any of your HH members witness restrictions to access to land Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the first half of the survey year, did you or any of your HH members witness restrictions to access to land 1 Yes 256 245.607 2 No 9665 9675.591 Sysmiss 5 4.802 During the first half of the survey year, did you or any of your HH members witness inability to pay back a loan/debt Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the first half of the survey year, did you or any of your HH members witness inability to pay back a loan/debt 1 Yes 1399 1314.399 2 No 8522 8606.799 Sysmiss 5 4.802 During the first half of the survey year, did you or any of your HH members witness loss of all or total wages/salaries Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the first half of the survey year, did you or any of your HH members witness loss of all or total wages/salaries 1 Yes 1830 1789.828 2 No 8091 8131.37 Sysmiss 5 4.802 During the first half of the survey year, did you or any of your HH members witness death of bread winner Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the first half of the survey year, did you or any of your HH members witness death of bread winner 1 Yes 68 70.813 2 No 9853 9850.385 Sysmiss 5 4.802 During the first half of the survey year, did you or any of your HH members witness crop damage Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the first half of the survey year, did you or any of your HH members witness crop damage 1 Yes 205 186.641 2 No 9716 9734.558 Sysmiss 5 4.802 During the first half of the survey year, did you or any of your HH members witness serious sickness Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the first half of the survey year, did you or any of your HH members witness serious sickness 1 Yes 317 349.685 2 No 9604 9571.513 Sysmiss 5 4.802 During the first half of the survey year, did you or any of your HH members witness delay in getting paid a salary Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the first half of the survey year, did you or any of your HH members witness delay in getting paid a salary 1 Yes 1669 1641.062 2 No 8252 8280.136 Sysmiss 5 4.802 During the first half of the survey year, did you or any of your HH members witness loss of a source of aid/assistance Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the first half of the survey year, did you or any of your HH members witness loss of a source of aid/assistance 1 Yes 784 821.489 2 No 9137 9099.709 Sysmiss 5 4.802 During the first half of the survey year, did you or any of your HH members witness in ability to renew work permit Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the first half of the survey year, did you or any of your HH members witness in ability to renew work permit 1 Yes 493 490.733 2 No 9428 9430.465 Sysmiss 5 4.802 During the first half of the survey year, did you or any of your HH members witness in ability to attend for health treatment due to lack of medication Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the first half of the survey year, did you or any of your HH members witness in ability to attend for health treatment due to lack of medication 1 Yes 1867 1783.404 2 No 8054 8137.794 Sysmiss 5 4.802 During the first half of the survey year, did you or any of your HH members witness inability to pay for medication Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the first half of the survey year, did you or any of your HH members witness inability to pay for medication 1 Yes 2594 2462.871 2 No 7327 7458.328 Sysmiss 5 4.802 During the first half of the survey year, did you or any of your HH members witness inabiluity to leave the country for educational reasons Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the first half of the survey year, did you or any of your HH members witness inabiluity to leave the country for educational reasons 1 Yes 122 113.877 2 No 9799 9807.321 Sysmiss 5 4.802 During the first half of the survey year, did you or any of your HH members witness inabiluity to leave the country for medical treatment reasons Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the first half of the survey year, did you or any of your HH members witness inabiluity to leave the country for medical treatment reasons 1 Yes 292 272.84 2 No 9629 9648.359 Sysmiss 5 4.802 During the first half of the survey year, did you or any of your HH members witness inabiluity to leave the country for other reasons Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the first half of the survey year, did you or any of your HH members witness inabiluity to leave the country for other reasons 1 Yes 208 193.368 2 No 9713 9727.83 Sysmiss 5 4.802 During the first half of the survey year, did you or any of your HH members witness exposure of any hh member to detention, injury or any other Israeli measure Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the first half of the survey year, did you or any of your HH members witness exposure of any hh member to detention, injury or any other Israeli measure 1 Yes 142 152.492 2 No 9779 9768.706 Sysmiss 5 4.802 What are the top main three event/shocks that have affected your HH (record the code from the previous list)? (First) Data Dictionary & Questionnaire/Codebook All households 6451 6248.954 3475 3677.046 What are the top main three event/shocks that have affected your HH (record the code from the previous list)? (First) 1 shortage of water 2207 2155.649 2 assets/project (including land) loss/damage resulting from I 95 101.771 3 assets/project (including land) loss/damage resulting from o 93 85.906 4 restrictions to access to land 72 71.589 5 Inability to pay back a loan/debt 589 544.92 6 Loss of all or total wages/salaries 996 960.518 7 Death of bread winner 49 51.934 8 Crop damage 55 50.482 9 Serious sickness 135 160.461 10 Delay in getting paid a salary 531 527.771 11 Loss of a source of aid/assistance 273 277.989 12 In ability to renew work permit 224 211.52 13 In ability to attend for health treatment due to lack f medi 240 231.44 14 Inability to pay for medication 703 633.092 15 Inabiluity to leave the country for educational reasons 22 20.463 16 Inabiluity to leave the country for medical treatment reason 61 54.382 17 Inabiluity to leave the country for other reasons 52 47.069 18 Exposure of any hh member to detention, injury or any other 54 61.998 Sysmiss 3475 3677.046 What are the top main three event/shocks that have affected your HH (record the code from the previous list)? (Second) Data Dictionary & Questionnaire/Codebook All households 4257 4081.749 5669 5844.251 What are the top main three event/shocks that have affected your HH (record the code from the previous list)? (Second) 1 shortage of water 586 555.573 2 assets/project (including land) loss/damage resulting from I 45 48.283 3 assets/project (including land) loss/damage resulting from o 63 59.605 4 restrictions to access to land 84 80.148 5 Inability to pay back a loan/debt 357 329.903 6 Loss of all or total wages/salaries 520 517.019 7 Death of bread winner 7 8.511 8 Crop damage 42 38.07 9 Serious sickness 59 57.347 10 Delay in getting paid a salary 646 620.699 11 Loss of a source of aid/assistance 176 187.834 12 In ability to renew work permit 131 136.378 13 In ability to attend for health treatment due to lack f medi 667 613.253 14 Inability to pay for medication 711 671.849 15 Inabiluity to leave the country for educational reasons 26 23.138 16 Inabiluity to leave the country for medical treatment reason 69 62.546 17 Inabiluity to leave the country for other reasons 42 42.336 18 Exposure of any hh member to detention, injury or any other 26 29.258 Sysmiss 5669 5844.251 What are the top main three event/shocks that have affected your HH (record the code from the previous list)? (Third) Data Dictionary & Questionnaire/Codebook All households 2890 2789.394 7036 7136.606 What are the top main three event/shocks that have affected your HH (record the code from the previous list)? (Third) 1 shortage of water 704 657.581 2 assets/project (including land) loss/damage resulting from I 14 12.392 3 assets/project (including land) loss/damage resulting from o 22 21.381 4 restrictions to access to land 50 50.63 5 Inability to pay back a loan/debt 194 179.849 6 Loss of all or total wages/salaries 138 134.693 7 Death of bread winner 2 1.153 8 Crop damage 38 33.734 9 Serious sickness 38 43.205 10 Delay in getting paid a salary 244 255.728 11 Loss of a source of aid/assistance 144 149.647 12 In ability to renew work permit 71 70.284 13 In ability to attend for health treatment due to lack f medi 378 361.902 14 Inability to pay for medication 699 670.924 15 Inabiluity to leave the country for educational reasons 22 21.028 16 Inabiluity to leave the country for medical treatment reason 64 59.632 17 Inabiluity to leave the country for other reasons 49 43.705 18 Exposure of any hh member to detention, injury or any other 19 21.926 Sysmiss 7036 7136.606 Not pay bills/utilities Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 Not pay bills/utilities 1 Yes 2807 2703.076 2 No 6892 7003.354 8 Not applicable 208 192.821 9 Don't know 14 21.948 Sysmiss 5 4.802 Number of times Not pay bills/utilities Data Dictionary & Questionnaire/Codebook All households 2807 2703.076 7119 7222.924 Number of times Not pay bills/utilities 1 1659 1642.97 2 1001 887.626 3 101 126.462 4 12 10.504 5 22 22.589 6 2 1.386 7 2 2.452 9 1 1.126 10 2 2.447 12 1 1.286 13 1 1.332 15 1 1.165 30 2 1.73 Sysmiss 7119 7222.924 Is the possibility of future use still exist Not pay bills/utilities Data Dictionary & Questionnaire/Codebook All households 2807 2703.076 7119 7222.924 Is the possibility of future use still exist Not pay bills/utilities 1 Yes 2710 2596.081 2 No 97 106.994 Sysmiss 7119 7222.924 Sell off assets jewelry, furniture, productive assets, etc. Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 Sell off assets jewelry, furniture, productive assets, etc. 1 Yes 540 480.499 2 No 9175 9269.75 8 Not applicable 199 153.269 9 Don't know 7 17.68 Sysmiss 5 4.802 Number of times Sell off assets jewelry, furniture, productive assets, etc. Data Dictionary & Questionnaire/Codebook All households 540 480.499 9386 9445.501 Number of times Sell off assets jewelry, furniture, productive assets, etc. 1 348 315.391 2 128 113.303 3 41 32.237 4 14 12.919 5 5 2.542 6 2 1.953 7 1 0.95 10 1 1.204 Sysmiss 9386 9445.501 Is the possibility of future use still exist Sell off assets jewelry, furniture, Data Dictionary & Questionnaire/Codebook All households 540 480.499 9386 9445.501 Is the possibility of future use still exist Sell off assets jewelry, furniture, 1 Yes 442 385.08 2 No 98 95.419 Sysmiss 9386 9445.501 Used life savings Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 Used life savings 1 Yes 1528 1522.437 2 No 7439 7541.824 8 Not applicable 942 834.199 9 Don't know 12 22.738 Sysmiss 5 4.802 Number of times Used life savings Data Dictionary & Questionnaire/Codebook All households 1528 1522.437 8398 8403.563 Number of times Used life savings 1 639 651.936 2 447 435.506 3 180 173.039 4 61 57.669 5 82 77.596 6 20 21.141 7 20 21.531 8 5 6.259 9 3 2.585 10 33 36.651 11 1 0.631 12 1 0.234 13 1 1.207 14 1 1.202 15 10 9.155 20 5 3.871 25 2 2.704 30 17 19.519 Sysmiss 8398 8403.563 Is the possibility of future use still exist Used life savings Data Dictionary & Questionnaire/Codebook All households 1528 1522.437 8398 8403.563 Is the possibility of future use still exist Used life savings 1 Yes 1379 1384.569 2 No 149 137.868 Sysmiss 8398 8403.563 Sell off productive assets (sewing machine, vehicles, etc.) Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 Sell off productive assets (sewing machine, vehicles, etc.) 1 Yes 38 36.605 2 No 6221 6397.249 8 Not applicable 3649 3463.967 9 Don't know 13 23.377 Sysmiss 5 4.802 Number of times Sell off productive assets (sewing machine, vehicles, etc.) Data Dictionary & Questionnaire/Codebook All households 38 36.605 9888 9889.395 Number of times Sell off productive assets (sewing machine, vehicles, etc.) 1 31 30.147 2 6 5.273 10 1 1.185 Sysmiss 9888 9889.395 Data Dictionary & Questionnaire/Codebook All households 38 36.605 9888 9889.395 1 Yes 26 25.911 2 No 12 10.694 Sysmiss 9888 9889.395 Re-organize the HH members to save money (live or eat together) Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 Re-organize the HH members to save money (live or eat together) 1 Yes 1131 1005.496 2 No 8428 8585.996 8 Not applicable 354 310.073 9 Don't know 8 19.633 Sysmiss 5 4.802 Number of times re-organize the HH members to save money (live or eat together) Data Dictionary & Questionnaire/Codebook All households 1131 1005.496 8795 8920.504 Number of times re-organize the HH members to save money (live or eat together) 1 135 133.221 2 150 148.01 3 119 139.516 4 84 74.351 5 134 120.332 6 28 26.018 7 39 35.275 8 14 10.894 9 7 6.418 10 103 82.048 12 7 4.127 15 75 45.368 16 2 1.481 18 3 1.383 20 58 51.622 22 1 1.33 25 10 7.758 26 2 1.225 27 1 0.862 28 1 1.222 30 157 112.209 50 1 0.828 Sysmiss 8795 8920.504 Is the possibility of future use still exist re-organize the HH members to save money (live or eat together) Data Dictionary & Questionnaire/Codebook All households 1131 1005.496 8795 8920.504 Is the possibility of future use still exist re-organize the HH members to save money (live or eat together) 1 Yes 1101 978.939 2 No 30 26.557 Sysmiss 8795 8920.504 Reduce HH expenditures on health, education, and clothing. Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 Reduce HH expenditures on health, education, and clothing. 1 Yes 2707 2581.421 2 No 6704 6895.934 8 Not applicable 501 423.83 9 Don't know 9 20.014 Sysmiss 5 4.802 Number of times Reduce HH expenditures on health, education, and clothing. Data Dictionary & Questionnaire/Codebook All households 2707 2581.421 7219 7344.579 Number of times Reduce HH expenditures on health, education, and clothing. 1 763 743.81 2 880 823.869 3 450 421.188 4 141 141.46 5 250 245.747 6 40 40.383 7 24 20.066 8 10 9.538 9 5 3.07 10 78 71.487 12 4 4.548 14 1 0.643 15 19 17.023 18 2 1.122 20 7 6.545 30 33 30.922 Sysmiss 7219 7344.579 Data Dictionary & Questionnaire/Codebook All households 2707 2581.421 7219 7344.579 1 Yes 2627 2497.976 2 No 80 83.445 Sysmiss 7219 7344.579 Resorting to agriculture (planting, animal husbandry, fishing) Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 Resorting to agriculture (planting, animal husbandry, fishing) 1 Yes 170 147.675 2 No 4609 4770.295 8 Not applicable 5137 4989.434 9 Don't know 5 13.794 Sysmiss 5 4.802 Number of times Resorting to agriculture (planting, animal husbandry, fishing) Data Dictionary & Questionnaire/Codebook All households 170 147.675 9756 9778.325 Number of times Resorting to agriculture (planting, animal husbandry, fishing) 1 103 91.681 2 29 24.611 3 6 5.582 4 3 2.667 5 3 2.913 6 1 1.2 7 1 0.373 8 1 0.328 10 11 8.191 15 5 3.701 20 2 2.436 30 5 3.992 Sysmiss 9756 9778.325 Data Dictionary & Questionnaire/Codebook All households 170 147.675 9756 9778.325 Is the possibility of future use still exist Resorting to agriculture (planting, animal husbandry, fishing) 1 Yes 165 139.594 2 No 5 8.081 Sysmiss 9756 9778.325 Looking for secondary job Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 Looking for secondary job 1 Yes 1739 1617.888 2 No 7395 7556.715 8 Not applicable 780 729.079 9 Don't know 7 17.516 Sysmiss 5 4.802 Number of times looking for secondary job Data Dictionary & Questionnaire/Codebook All households 1739 1617.888 8187 8308.112 Number of times looking for secondary job 1 324 296.506 2 354 325.975 3 226 228.604 4 110 115.035 5 234 224.453 6 39 35.86 7 29 24.754 8 19 12.996 9 5 3.065 10 146 130.576 11 1 1.321 12 9 7.039 14 2 1.633 15 45 37.031 16 1 0.0541 17 2 2.382 18 1 0.54 20 59 53.482 25 9 7.366 30 124 109.215 Sysmiss 8187 8308.112 Is the possibility of future use still exist looking for secondary job Data Dictionary & Questionnaire/Codebook All households 1739 1617.888 8187 8308.112 Is the possibility of future use still exist looking for secondary job 1 Yes 1714 1594.073 2 No 25 23.815 Sysmiss 8187 8308.112 Taking children out of school Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 Taking children out of school 1 Yes 26 24.816 2 No 7220 7621.085 8 Not applicable 2670 2265.438 9 Don't know 5 9.859 Sysmiss 5 4.802 Number of times taking children out of school Data Dictionary & Questionnaire/Codebook All households 26 24.816 9900 9901.184 Number of times taking children out of school 1 15 16.549 2 5 5.803 3 5 2.392 4 1 0.0728 Sysmiss 9900 9901.184 Is the possibility of future use still exist taking children out of school Data Dictionary & Questionnaire/Codebook All households 26 24.816 9900 9901.184 Is the possibility of future use still exist taking children out of school 1 Yes 19 17.615 2 No 7 7.201 Sysmiss 9900 9901.184 Reducing production costs for example cut on fertilizers etc Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 Reducing production costs for example cut on fertilizers etc 1 Yes 78 76.919 2 No 3820 4034.55 8 Not applicable 6019 5801 9 Don't know 4 8.729 Sysmiss 5 4.802 Number of times reducing production costs for example cut on fertilizers etc. Data Dictionary & Questionnaire/Codebook All households 78 76.919 9848 9849.081 Number of times reducing production costs for example cut on fertilizers etc. 1 28 30.189 2 17 14.939 3 12 11.966 4 3 2.327 5 3 3.091 6 1 0.178 7 3 3.254 10 4 4.848 15 3 1.739 20 1 1.231 25 1 1.209 30 2 1.948 Sysmiss 9848 9849.081 Is the possibility of future use still exist reducing production costs for example cut on fertilizers etc Data Dictionary & Questionnaire/Codebook All households 78 76.919 9848 9849.081 Is the possibility of future use still exist reducing production costs for example cut on fertilizers etc 1 Yes 74 73.989 2 No 4 2.93 Sysmiss 9848 9849.081 Selling remaining productive assets such as female goats etc Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 Selling remaining productive assets such as female goats etc 1 Yes 48 47.617 2 No 3530 3756.704 8 Not applicable 6337 6105.523 9 Don't know 6 11.354 Sysmiss 5 4.802 Number of times Selling remaining productive assets such as female goats etc Data Dictionary & Questionnaire/Codebook All households 48 47.617 9878 9878.383 Number of times Selling remaining productive assets such as female goats etc 1 27 26.163 2 9 8.495 3 6 6.445 4 3 2.885 5 2 2.415 10 1 1.215 Sysmiss 9878 9878.383 Data Dictionary & Questionnaire/Codebook All households 48 47.617 9878 9878.383 1 Yes 42 41.699 2 No 6 5.918 Sysmiss 9878 9878.383 Selling land or housing Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 Selling land or housing 1 Yes 7 6.86 2 No 7971 8031.395 8 Not applicable 1936 1868.993 9 Don't know 7 13.951 Sysmiss 5 4.802 Number of times Selling land or housing Data Dictionary & Questionnaire/Codebook All households 7 6.86 9919 9919.14 Number of times Selling land or housing 1 5 4.409 2 1 1.126 3 1 1.325 Sysmiss 9919 9919.14 Is the possibility of future use still exist Selling land or housing Data Dictionary & Questionnaire/Codebook All households 7 6.86 9919 9919.14 Is the possibility of future use still exist Selling land or housing 1 Yes 3 3.777 2 No 4 3.083 Sysmiss 9919 9919.14 Buy food on credit, borrow food Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 Buy food on credit, borrow food 1 Yes 3224 3064.295 2 No 6430 6636.184 8 Not applicable 257 205.667 9 Don't know 10 15.052 Sysmiss 5 4.802 Number of times Buy food on credit, borrow food Data Dictionary & Questionnaire/Codebook All households 3224 3064.295 6702 6861.705 1 50 9.768 9.468 8.638 8.425 Number of times Buy food on credit, borrow food Is the possibility of future use still exist Buy food on credit, borrow food Data Dictionary & Questionnaire/Codebook All households 3224 3064.295 6702 6861.705 Is the possibility of future use still exist Buy food on credit, borrow food 1 Yes 3171 3015.519 2 No 53 48.776 Sysmiss 6702 6861.705 Borrow money Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 Borrow money 1 Yes 1812 1720.839 2 No 7884 8018.271 8 Not applicable 210 154.318 9 Don't know 15 27.771 Sysmiss 5 4.802 Data Dictionary & Questionnaire/Codebook All households 1812 1720.839 8114 8205.161 1 688 652.99 2 495 468.507 3 279 271.431 4 98 84.621 5 144 137.594 6 26 27.16 7 18 17.805 8 6 4.524 9 3 3.079 10 35 32.855 12 5 5.558 14 1 1.214 15 4 3.982 17 1 1.143 20 6 4.836 30 3 3.538 Sysmiss 8114 8205.161 Data Dictionary & Questionnaire/Codebook All households 1812 1720.839 8114 8205.161 1 Yes 1698 1600.445 2 No 114 120.394 Sysmiss 8114 8205.161 Send children to eat somewhere else, eating in groups Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 Send children to eat somewhere else, eating in groups 1 Yes 216 219.239 2 No 8406 8474.144 8 Not applicable 1295 1218.567 9 Don't know 4 9.249 Sysmiss 5 4.802 Number of times Send children to eat somewhere else, eating in groups Data Dictionary & Questionnaire/Codebook All households 216 219.239 9710 9706.761 Number of times Send children to eat somewhere else, eating in groups 1 29 40.036 2 36 35.95 3 39 45.066 4 18 14.339 5 22 23.244 6 2 1.318 7 7 4.047 8 7 4.43 9 1 0.715 10 16 18.781 15 15 14.165 20 9 4.623 25 1 1.213 26 1 1.192 30 13 10.121 Sysmiss 9710 9706.761 Is the possibility of future use still exist Send children to eat somewhere else Data Dictionary & Questionnaire/Codebook All households 216 219.239 9710 9706.761 Is the possibility of future use still exist Send children to eat somewhere else, eating in groups 1 Yes 209 212.432 2 No 7 6.807 Sysmiss 9710 9706.761 During the last 7 days, when the household did not have enough food, how many times did you reduce the number of meals for all members? Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the last 7 days, when the household did not have enough food, how many times did you reduce the number of meals for all members? 0 7614 7713.041 1 390 395.174 2 702 667.95 3 422 429.694 4 167 147.901 5 153 145.839 6 16 21.467 7 457 400.132 Sysmiss 5 4.802 During the last 7 days, when the household did not have enough food, how many times did you reduce the number of meals for adults for children? Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the last 7 days, when the household did not have enough food, how many times did you reduce the number of meals for adults for children? 0 8120 8169.627 1 311 301.432 2 569 573.362 3 321 313.08 4 139 127.479 5 150 153.722 6 17 11.566 7 294 270.929 Sysmiss 5 4.802 During the last 7 days, when the household did not have enough food, how many times did you buy low quality of food? Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the last 7 days, when the household did not have enough food, how many times did you buy low quality of food? 0 6967 7089.926 1 1124 1055.554 2 887 850.905 3 396 410.017 4 146 144.313 5 176 170.553 6 42 33.249 7 183 166.681 Sysmiss 5 4.802 During the last 7 days, when the household did not have enough food, how many times did you reduce the quanitity of meal for all members? Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the last 7 days, when the household did not have enough food, how many times did you reduce the quanitity of meal for all members? 0 7746 7840.93 1 450 458.004 2 637 617.411 3 368 363.895 4 187 165.89 5 163 150.228 6 30 21.541 7 340 303.298 Sysmiss 5 4.802 During the last 7 days, when the household did not have enough food, how many times did you borrow food or depend on family or friend support? Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the last 7 days, when the household did not have enough food, how many times did you borrow food or depend on family or friend support? 0 8204 8402.055 1 386 359.855 2 467 438.611 3 279 275.61 4 138 117.109 5 133 94.597 6 20 18.215 7 294 215.146 Sysmiss 5 4.802 During the last 7 days, when the household did not have enough food, how many times did you stop eating expensive food? Data Dictionary & Questionnaire/Codebook All households 9921 9921.198 5 4.802 During the last 7 days, when the household did not have enough food, how many times did you stop eating expensive food? 0 6402 6564.835 1 871 827.669 2 864 842.31 3 543 540.765 4 243 234.157 5 266 253.841 6 60 58.631 7 672 598.99 Sysmiss 5 4.802 What is the average HH monthly expenditure on food (NIS) during first half of the survey year? Data Dictionary & Questionnaire/Codebook All households 9918 9918.453 8 7.547 0 120000 1225.498 1397.106 2341.456 2680.77 What is the average HH monthly expenditure on food (NIS) during first half of the survey year? What is the average HH monthly expenditure on clothing and shoes (NIS) during first half of the survey year? Data Dictionary & Questionnaire/Codebook All households 9918 9918.453 8 7.547 0 14000 282.274 320.66 669.833 762.068 What is the average HH monthly expenditure on clothing and shoes (NIS) during first half of the survey year? What is the average HH monthly expenditure on housing (NIS) during first half of the survey year? Data Dictionary & Questionnaire/Codebook All households 9918 9918.453 8 7.547 0 250000 823.045 931.153 4068.671 4354.604 What is the average HH monthly expenditure on housing (NIS) during first half of the survey year? What is the average HH monthly expenditure on home appliances (NIS) during first half of the survey year? Data Dictionary & Questionnaire/Codebook All households 9918 9918.453 8 7.547 0 15000 64.31 73.536 269.562 346.869 What is the average HH monthly expenditure on home appliances (NIS) during first half of the survey year? What is the average HH monthly expenditure on house needs (cleaning materials) during first half of the survey year? Data Dictionary & Questionnaire/Codebook All households 9918 9918.453 8 7.547 0 6000 122.198 139.939 198.445 230.842 What is the average HH monthly expenditure on house needs (cleaning materials) during first half of the survey year? What is the average HH monthly expenditure on health care (NIS) during first half of the survey year? Data Dictionary & Questionnaire/Codebook All households 9918 9918.453 8 7.547 0 14000 209.096 235.107 519.176 570.741 What is the average HH monthly expenditure on health care (NIS) during first half of the survey year? What is the average HH monthly expenditure on transportation (NIS) during first half of the survey year? Data Dictionary & Questionnaire/Codebook All households 9918 9918.453 8 7.547 0 40000 356.73 408.76 831.014 981.132 What is the average HH monthly expenditure on transportation (NIS) during first half of the survey year? What is the average HH monthly expenditure on communication (NIS) during first half of the survey year? Data Dictionary & Questionnaire/Codebook All households 9918 9918.453 8 7.547 0 15000 144.341 169.475 326.526 416.372 What is the average HH monthly expenditure on communication (NIS) during first half of the survey year? What is the average HH monthly expenditure on cultural and recreational activities during first half of the survey year? Data Dictionary & Questionnaire/Codebook All households 9918 9918.453 8 7.547 0 100000 74.739 83.982 1073.398 1173.504 What is the average HH monthly expenditure on cultural and recreational activities during first half of the survey year? What is the average HH monthly expenditure on personal care (NIS) during first half of the survey year? Data Dictionary & Questionnaire/Codebook All households 9918 9918.453 8 7.547 0 9000 96.337 103.535 188.319 276.144 What is the average HH monthly expenditure on personal care (NIS) during first half of the survey year? What is the average HH monthly expenditure on cigarettes and tobacco (NIS) during first half of the survey year? Data Dictionary & Questionnaire/Codebook All households 9918 9918.453 8 7.547 0 18000 239.453 275.04 537.985 684.463 What is the average HH monthly expenditure on cigarettes and tobacco (NIS) during first half of the survey year? Data Dictionary & Questionnaire/Codebook All households 9918 9918.453 8 7.547 0 300000 1595.4 1813.385 7014.053 7749.767 What is the average HH annual expenditure on durable goods (NIS) during the last year? Data Dictionary & Questionnaire/Codebook All households 9918 9918.453 8 7.547 0 32000 433.346 434.94 1812.476 1785.331 What is the average HH annual expenditure on durable goods (NIS) during the last year? What is the average HH annual expenditure on furniture (NIS) during the last year? Data Dictionary & Questionnaire/Codebook All households 9918 9918.453 8 7.547 0 210000 703.158 644.712 4519.492 5386.736 What is the average HH annual expenditure on furniture (NIS) during the last year? What is the average HH expenditure over the past 3 years on vehicles (NIS)? Data Dictionary & Questionnaire/Codebook All households 9918 9918.453 8 7.547 0 540000 4330.557 5294.203 19801.785 23418.329 What is the average HH expenditure over the past 3 years on vehicles (NIS)? What is the average HH monthly expenditure on electricity including bells, fuels? Data Dictionary & Questionnaire/Codebook All households 9916 9915.877 10 10.123 0 85000 262.668 306.127 1101.088 1309.744 What is the average HH monthly expenditure on electricity including bells, fuels? What is the average HH total monthly expenditures during the first half of the survey year? Data Dictionary & Questionnaire/Codebook All households 9918 9918.453 8 7.547 0 90000 2902.819 3276.38 3291.01 3902.418 What is the average HH total monthly expenditures during the first half of the survey year? During the past week, Number of days consumed Starches and tubers (rice, pastries, wheat flour, barley, potatoes,...) Data Dictionary & Questionnaire/Codebook All households 9920 9920.879 6 5.121 During the past week, Number of days consumed Starches and tubers (rice, pastries, wheat flour, barley, potatoes,...) 0 45 40.877 1 306 302.539 2 555 621.926 3 640 733.18 4 439 523.147 5 561 677.575 6 200 215.616 7 7174 6806.02 Sysmiss 6 5.121 Main source for Starches and tubers (rice, pastries, wheat flour, barley, potatoes,...) Data Dictionary & Questionnaire/Codebook All households 9875 9880.002 51 45.998 Main source for Starches and tubers (rice, pastries, wheat flour, barley, potatoes,...) 1 Food coupons 1638 1481.962 2 Purchased 7074 7353.002 3 own produced 68 73.779 4 barter 5 4.719 5 Gifts 178 140.311 6 in kind food aid 351 314.989 7 buying on credit 415 398.091 8 Borrowed from relatives, neighbors 122 92.846 9 other 24 20.304 Sysmiss 51 45.998 During the past week Number of days consumed Legumes (lintels, chickpeas, fava beans, green peas) Data Dictionary & Questionnaire/Codebook All households 9920 9920.879 6 5.121 During the past week Number of days consumed Legumes (lintels, chickpeas, fava beans, green peas) 0 1997 2045.692 1 2961 3038.412 2 2491 2487.683 3 1196 1179.863 4 489 435.862 5 301 292.935 6 47 49.79 7 438 390.643 Sysmiss 6 5.121 Main source for Legumes (lintels, chickpeas, fava beans, green peas) Data Dictionary & Questionnaire/Codebook All households 7924 7875.385 2002 2050.615 Main source for Legumes (lintels, chickpeas, fava beans, green peas) 1 Food coupons 1275 1149.814 2 Purchased 5603 5783.947 3 own produced 8 7.635 4 barter 7 7.511 5 Gifts 155 114.44 6 in kind food aid 300 277.344 7 buying on credit 485 466.253 8 Borrowed from relatives, neighbors 82 59.379 9 other 9 9.062 Sysmiss 2002 2050.615 During the past week, Number of days consumed Fish (dried, canned, fresh) Data Dictionary & Questionnaire/Codebook All households 9920 9920.879 6 5.121 During the past week, Number of days consumed Fish (dried, canned, fresh) 0 5818 5753.551 1 2916 2982.859 2 796 778.028 3 230 222.664 4 71 78.051 5 37 45.475 6 8 18.51 7 44 41.742 Sysmiss 6 5.121 Main source for Fish (dried, canned, fresh) Data Dictionary & Questionnaire/Codebook All households 4103 4168.508 5823 5757.492 Main source for Fish (dried, canned, fresh) 1 Food coupons 311 292.68 2 Purchased 3392 3532.859 3 own produced 17 13.506 4 barter 5 4.287 5 Gifts 124 94.978 6 in kind food aid 100 82.36 7 buying on credit 116 112.547 8 Borrowed from relatives, neighbors 33 31.566 9 other 5 3.725 Sysmiss 5823 5757.492 During the past week,Number of days consumed Eggs Data Dictionary & Questionnaire/Codebook All households 9920 9920.879 6 5.121 During the past week,Number of days consumed Eggs 0 1266 1236.622 1 722 694.009 2 1543 1531.722 3 1760 1728.104 4 1127 1154.155 5 953 1029.981 6 265 295.601 7 2284 2250.686 Sysmiss 6 5.121 Main source for Eggs Data Dictionary & Questionnaire/Codebook All households 8654 8684.257 1272 1241.743 Main source for Eggs 1 Food coupons 282 295.132 2 Purchased 6904 7082.489 3 own produced 283 252.582 4 barter 3 3.734 5 Gifts 167 118.601 6 in kind food aid 40 40.323 7 buying on credit 904 837.472 8 Borrowed from relatives, neighbors 61 44.949 9 other 10 8.975 Sysmiss 1272 1241.743 During the past week,Number of days consumed Red meat (beef, sheep, etc) Data Dictionary & Questionnaire/Codebook All households 9920 9920.879 6 5.121 During the past week,Number of days consumed Red meat (beef, sheep, etc) 0 3501 3280.986 1 3063 3167.76 2 1883 1921.275 3 788 819.747 4 373 392.7 5 151 154.106 6 42 55.749 7 119 128.556 Sysmiss 6 5.121 Main source for Red meat (beef, sheep, etc) Data Dictionary & Questionnaire/Codebook All households 6419 6639.893 3507 3286.107 Main source for Red meat (beef, sheep, etc) 1 Food coupons 12 15.585 2 Purchased 4459 4676.461 3 own produced 49 70.938 4 barter 1 1.399 5 Gifts 1682 1653.227 6 in kind food aid 30 30.954 7 buying on credit 121 128.595 8 Borrowed from relatives, neighbors 28 21.874 9 other 37 40.86 Sysmiss 3507 3286.107 During the past week, Number of days consumed White meat (poultry) Data Dictionary & Questionnaire/Codebook All households 9920 9920.879 6 5.121 During the past week, Number of days consumed White meat (poultry) 0 1468 1461.437 1 3753 3546.168 2 2288 2336.222 3 1421 1531.467 4 525 554.427 5 291 320.875 6 75 76.457 7 99 93.826 Sysmiss 6 5.121 Main source for White meat (poultry) Data Dictionary & Questionnaire/Codebook All households 8452 8459.443 1474 1466.557 Main source for White meat (poultry) 1 Food coupons 14 12.588 2 Purchased 7618 7715.429 3 own produced 30 25.195 4 barter 4 4.187 5 Gifts 309 245.445 6 in kind food aid 15 13.941 7 buying on credit 387 390.125 8 Borrowed from relatives, neighbors 64 42.845 9 other 11 9.687 Sysmiss 1474 1466.557 During the past week, Number of days consumed Liver, kidney, and other Data Dictionary & Questionnaire/Codebook All households 9920 9920.879 6 5.121 During the past week, Number of days consumed Liver, kidney, and other 0 8108 7996.68 1 1536 1585.705 2 201 206.222 3 33 45.468 4 14 22.426 5 13 26.479 6 2 8.908 7 13 28.992 Sysmiss 6 5.121 Main source for Liver, kidney, and other Data Dictionary & Questionnaire/Codebook All households 1814 1925.343 8112 8000.657 Main source for Liver, kidney, and other 1 Food coupons 4 4.165 2 Purchased 1643 1754.351 3 own produced 8 5.869 4 barter 0 0 5 Gifts 103 101.074 6 in kind food aid 5 4.474 7 buying on credit 38 42.099 8 Borrowed from relatives, neighbors 8 7.811 9 other 5 5.5 Sysmiss 8112 8000.657 During the past week,Number of days consumed Dairy products Data Dictionary & Questionnaire/Codebook All households 9920 9920.879 6 5.121 During the past week,Number of days consumed Dairy products 0 1096 1077.287 1 459 473.959 2 1048 1093.419 3 1177 1177.968 4 861 851.29 5 930 1063.281 6 282 317.118 7 4067 3866.556 Sysmiss 6 5.121 Main source for Dairy products Data Dictionary & Questionnaire/Codebook All households 8824 8843.592 1102 1082.408 Main source for Dairy products 1 Food coupons 951 880.79 2 Purchased 6653 6849.733 3 own produced 142 166.238 4 barter 5 4.15 5 Gifts 144 106.638 6 in kind food aid 182 169.737 7 buying on credit 693 621.879 8 Borrowed from relatives, neighbors 46 36.196 9 other 8 8.23 Sysmiss 1102 1082.408 During the past week, Number of days consumed Oils and fats Data Dictionary & Questionnaire/Codebook All households 9920 9920.879 6 5.121 During the past week, Number of days consumed Oils and fats 0 122 127.023 1 154 191.543 2 354 372.612 3 524 570.819 4 679 705.648 5 903 957.347 6 468 506.153 7 6716 6489.734 Sysmiss 6 5.121 Main source for Oils and fats Data Dictionary & Questionnaire/Codebook All households 9799 9794.229 127 131.771 Main source for Oils and fats 1 Food coupons 1596 1467.276 2 Purchased 6471 6728.06 3 own produced 353 377.846 4 barter 9 11.117 5 Gifts 237 183.939 6 in kind food aid 280 242.528 7 buying on credit 741 700.989 8 Borrowed from relatives, neighbors 106 76.171 9 other 6 6.303 Sysmiss 127 131.771 During the past week, Number of days consumed Vitamin A rich fruits (melons, mango,..) Data Dictionary & Questionnaire/Codebook All households 9920 9920.879 6 5.121 During the past week, Number of days consumed Vitamin A rich fruits (melons, mango,..) 0 6443 6250.048 1 1468 1508.153 2 978 1024.439 3 412 459.704 4 145 161.49 5 103 128.258 6 31 45.592 7 340 343.196 Sysmiss 6 5.121 Main source for Vitamin A rich fruits (melons, mango, papaya, apricots etc.) Data Dictionary & Questionnaire/Codebook All households 3478 3671.921 6448 6254.079 Main source for Vitamin A rich fruits (melons, mango, papaya, apricots etc.) 1 Food coupons 3 3.654 2 Purchased 3246 3452.521 3 own produced 27 29.186 4 barter 1 1.399 5 Gifts 153 134.979 6 in kind food aid 2 4.378 7 buying on credit 29 31.088 8 Borrowed from relatives, neighbors 14 11.739 9 other 3 2.978 Sysmiss 6448 6254.079 During the past week,Nmber of days consumed Other fruits (orange, apples, banana,..) Data Dictionary & Questionnaire/Codebook All households 9920 9920.879 6 5.121 During the past week,Nmber of days consumed Other fruits (orange, apples, banana,..) 0 3117 3054.746 1 1903 1912.726 2 1794 1809.259 3 1219 1222.914 4 561 593.768 5 374 395.805 6 74 89.113 7 878 842.548 Sysmiss 6 5.121 Main source for Other fruits (orange, apples, bananas, etc.) Data Dictionary & Questionnaire/Codebook All households 6803 6866.133 3123 3059.867 Main source for Other fruits (orange, apples, bananas, etc.) 1 Food coupons 0 0 2 Purchased 6170 6298.339 3 own produced 67 73.734 4 barter 3 3.67 5 Gifts 424 355.789 6 in kind food aid 3 3.742 7 buying on credit 96 97.647 8 Borrowed from relatives, neighbors 37 30.139 9 other 3 3.072 Sysmiss 3123 3059.867 During the past week, Number of days consumed Vegetables (orange colored) Data Dictionary & Questionnaire/Codebook All households 9920 9920.879 6 5.121 During the past week, Number of days consumed Vegetables (orange colored) 0 6937 6817.158 1 1852 1846.899 2 671 716.195 3 172 220.625 4 82 86.699 5 60 69.285 6 22 26.42 7 124 137.599 Sysmiss 6 5.121 Main source for Vegetables (orange colored) Data Dictionary & Questionnaire/Codebook All households 2986 3106.451 6940 6819.549 Main source for Vegetables (orange colored) 1 Food coupons 2 1.581 2 Purchased 2829 2960.728 3 own produced 13 11.931 4 barter 4 4.883 5 Gifts 61 48.761 6 in kind food aid 5 5.327 7 buying on credit 48 51.897 8 Borrowed from relatives, neighbors 22 19.483 9 other 2 1.859 Sysmiss 6940 6819.549 During the past week,Number of days consumed Green leafy vegetables Data Dictionary & Questionnaire/Codebook All households 9920 9920.879 6 5.121 During the past week,Number of days consumed Green leafy vegetables 0 4463 4561.041 1 4049 3913.84 2 990 991.995 3 205 219.459 4 43 48.038 5 77 81.677 6 13 14.368 7 80 90.462 Sysmiss 6 5.121 Main source for Green leafy vegetables Data Dictionary & Questionnaire/Codebook All households 5461 5362.14 4465 4563.86 Main source for Green leafy vegetables 1 Food coupons 5 5.082 2 Purchased 5058 5015.049 3 own produced 40 34.48 4 barter 4 3.843 5 Gifts 171 133.657 6 in kind food aid 10 9.84 7 buying on credit 97 97.452 8 Borrowed from relatives, neighbors 69 57.397 9 other 7 5.34 Sysmiss 4465 4563.86 During the past week, Number of days consumed Other vegetables (onions, tomatoes,..) Data Dictionary & Questionnaire/Codebook All households 9920 9920.879 6 5.121 During the past week, Number of days consumed Other vegetables (onions, tomatoes,..) 0 148 148.555 1 216 248.838 2 526 562.17 3 735 748.808 4 894 873.196 5 1244 1387.809 6 502 585.949 7 5655 5365.555 Sysmiss 6 5.121 Main source for Other vegetables (onions, tomatoes, radish ) Data Dictionary & Questionnaire/Codebook All households 9772 9772.324 154 153.676 Main source for Other vegetables (onions, tomatoes, radish ) 1 Food coupons 32 39.484 2 Purchased 9100 9160.031 3 own produced 21 16.139 4 barter 5 5.954 5 Gifts 163 113.93 6 in kind food aid 12 9.074 7 buying on credit 318 323.613 8 Borrowed from relatives, neighbors 114 97.738 9 other 7 6.362 Sysmiss 154 153.676 During the past week, Number of days consumed Sugar, jams, honey and sweetened drinks Data Dictionary & Questionnaire/Codebook All households 9920 9920.879 6 5.121 During the past week, Number of days consumed Sugar, jams, honey and sweetened drinks 0 542 595.815 1 418 483.693 2 524 580.378 3 427 468.808 4 418 428.367 5 516 570.865 6 236 300.649 7 6839 6492.305 Sysmiss 6 5.121 Main source for Sugar, jams, honey and sweetened drinks Data Dictionary & Questionnaire/Codebook All households 9378 9325.064 548 600.936 Main source for Sugar, jams, honey and sweetened drinks 1 Food coupons 957 872.193 2 Purchased 7020 7233.583 3 own produced 64 60.182 4 barter 5 5.333 5 Gifts 150 112.582 6 in kind food aid 117 105.942 7 buying on credit 999 883.387 8 Borrowed from relatives, neighbors 65 50.626 9 other 1 1.236 Sysmiss 548 600.936 During the past week,,Number of days consumed Others (coffee, tea, condiments) Data Dictionary & Questionnaire/Codebook All households 9920 9920.879 6 5.121 During the past week,,Number of days consumed Others (coffee, tea, condiments) 0 65 68.366 1 137 146.153 2 172 172.186 3 197 192.853 4 215 214.162 5 396 430.169 6 439 501.382 7 8299 8195.609 Sysmiss 6 5.121 Main source for Others (coffee, tea, condiments) Data Dictionary & Questionnaire/Codebook All households 9855 9852.513 71 73.487 Main source for Others (coffee, tea, condiments) 1 Food coupons 281 282.982 2 Purchased 8008 8204.475 3 own produced 4 3.26 4 barter 6 6.766 5 Gifts 84 54.973 6 in kind food aid 40 40.409 7 buying on credit 1373 1215.054 8 Borrowed from relatives, neighbors 57 43.023 9 other 2 1.571 Sysmiss 71 73.487 The main breadwinner in this household is Data Dictionary & Questionnaire/Codebook All households 9920 9921.408 6 4.592 The main breadwinner in this household is 1 Male 9129 8997.528 2 Female 791 923.88 Sysmiss 6 4.592 Total amount of money that a household need to satisfy its basic needs (necessities) Data Dictionary & Questionnaire/Codebook All households 9920 9921.408 6 4.592 1 70000 3522.798 3871.005 2962.345 3230.14 Total amount of money that a household need to satisfy its basic needs (necessities) In general do you consider your HH Data Dictionary & Questionnaire/Codebook All households 9920 9921.408 6 4.592 In general do you consider your HH 1 Wealthy 460 465.921 2 middle 6936 7069.08 3 Poor 1765 1698.886 4 very poor 759 687.522 Sysmiss 6 4.592 How long could the HH keep up financially in the future if situation to remain the same Data Dictionary & Questionnaire/Codebook All households 9920 9921.408 6 4.592 How long could the HH keep up financially in the future if situation to remain the same 1 For as long as it takes 5271 5470.828 2 For about one year 387 382.337 3 For only few months 457 427.562 4 We hardly could menage 2547 2414.142 5 HH situation is serious and does not have enough to live 839 753.878 9 Don't know/No answer 419 472.663 Sysmiss 6 4.592 Data Dictionary & Questionnaire/Codebook All households 9919 9920.087 7 5.913 1 Agriculture, fisheries and animal husbandry 199 178.903 2 Non agriculture family business 845 882.922 3 Wages and salaries from the public sector 1711 1729.815 4 Wages and salaries from the private sector 3397 3135.418 5 Wages and salaries from Israel labor market 1253 1390.249 6 Transfers from within WBGS (including retirement) 914 919.247 7 Transfers from abroad 91 104.663 8 International agencies (aid) 319 284.151 9 Social assistance 868 850.307 10 Wages and salaries from international agencies 132 128.749 11 National insurance (Jerusalem) 52 165.29 12 Property income 88 99.502 13 Other 50 50.87 Sysmiss 7 5.913 During the past 12 months Agriculture, fisheries and animal husbandry of the household sources of income Data Dictionary & Questionnaire/Codebook All households 9919 9920.087 7 5.913 During the past 12 months Agriculture, fisheries and animal husbandry of the household sources of income 1 Yes 918 916.933 2 No 9001 9003.153 Sysmiss 7 5.913 During the past 12 months Non agriculture family business of the household sources of income Data Dictionary & Questionnaire/Codebook All households 9919 9920.087 7 5.913 During the past 12 months Non agriculture family business of the household sources of income 1 Yes 1116 1163.467 2 No 8803 8756.619 Sysmiss 7 5.913 During the past 12 months Wages and salaries from the public sector of the household sources of income Data Dictionary & Questionnaire/Codebook All households 9919 9920.087 7 5.913 During the past 12 months Wages and salaries from the public sector of the household sources of income 1 Yes 1980 2002.973 2 No 7939 7917.114 Sysmiss 7 5.913 During the past 12 months Wages and salaries from the private sector of the household sources of income Data Dictionary & Questionnaire/Codebook All households 9919 9920.087 7 5.913 During the past 12 months Wages and salaries from the private sector of the household sources of income 1 Yes 4392 4135.765 2 No 5527 5784.321 Sysmiss 7 5.913 During the past 12 months Wages and salaries from Israel labor market of the household sources of income Data Dictionary & Questionnaire/Codebook All households 9919 9920.087 7 5.913 During the past 12 months Wages and salaries from Israel labor market of the household sources of income 1 Yes 1366 1521.563 2 No 8553 8398.524 Sysmiss 7 5.913 Data Dictionary & Questionnaire/Codebook All households 9919 9920.087 7 5.913 1 Yes 2420 2274.733 2 No 7499 7645.353 Sysmiss 7 5.913 Data Dictionary & Questionnaire/Codebook All households 9919 9920.087 7 5.913 1 Yes 285 309.164 2 No 9634 9610.923 Sysmiss 7 5.913 During the past 12 months International agencies (aid) of the household sources of income Data Dictionary & Questionnaire/Codebook All households 9919 9920.087 7 5.913 During the past 12 months International agencies (aid) of the household sources of income 1 Yes 2071 1857.354 2 No 7848 8062.733 Sysmiss 7 5.913 Data Dictionary & Questionnaire/Codebook All households 9919 9920.087 7 5.913 1 Yes 1573 1550.799 2 No 8346 8369.288 Sysmiss 7 5.913 During the past 12 months Wages and salaries from international agencies Data Dictionary & Questionnaire/Codebook All households 9919 9920.087 7 5.913 During the past 12 months Wages and salaries from international agencies 1 Yes 176 179.366 2 No 9743 9740.72 Sysmiss 7 5.913 During the past 12 months National insurance (Jerusalem) of the household source Data Dictionary & Questionnaire/Codebook All households 9919 9920.087 7 5.913 During the past 12 months National insurance (Jerusalem) of the household source 1 Yes 188 562.587 2 No 9731 9357.5 Sysmiss 7 5.913 During the past 12 months Property income of the household sources of income Data Dictionary & Questionnaire/Codebook All households 9919 9920.087 7 5.913 During the past 12 months Property income of the household sources of income 1 Yes 201 238.561 2 No 9718 9681.526 Sysmiss 7 5.913 During the past 12 months Other of the household sources of income Data Dictionary & Questionnaire/Codebook All households 9919 9920.087 7 5.913 During the past 12 months Other of the household sources of income 1 Yes 66 70.693 2 No 9853 9849.394 Sysmiss 7 5.913 What is the average monthly income (NIS) from Agriculture, fisheries and animal husbandry Data Dictionary & Questionnaire/Codebook All households 918 916.933 9008 9009.067 1 40000 1508.703 1543.414 3464.169 3552.285 What is the average monthly income (NIS) from Agriculture, fisheries and animal husbandry What is the average monthly income (NIS) from Non agriculture family business Data Dictionary & Questionnaire/Codebook All households 1116 1163.467 8810 8762.533 1 150000 3291.416 3804.428 6406.906 7577.814 What is the average monthly income (NIS) from Non agriculture family business What is the average monthly income (NIS) from Wages and salaries from the public sector Data Dictionary & Questionnaire/Codebook All households 1980 2002.973 7946 7923.027 1 144000 2851.822 2987.506 5511.201 6004.184 What is the average monthly income (NIS) from Wages and salaries from the public sector What is the average monthly income (NIS) from Wages and salaries from the privat sector Data Dictionary & Questionnaire/Codebook All households 4389 4132.87 5537 5793.13 2 250000 2565.905 2741.978 4970.241 4014.578 What is the average monthly income (NIS) from Wages and salaries from the privat sector What is the average monthly income (NIS) from Wages and salaries from Israel labor market Data Dictionary & Questionnaire/Codebook All households 1366 1521.563 8560 8404.437 18 100000 5829.07 6467.149 7541.83 8776.92 What is the average monthly income (NIS) from Wages and salaries from Israel labor market What is the average monthly income (NIS) fromTransfers from within WBGS (including retirement) Data Dictionary & Questionnaire/Codebook All households 2420 2274.733 7506 7651.267 1 48000 961.129 1055.481 1764.519 1795.533 What is the average monthly income (NIS) fromTransfers from within WBGS (including retirement) What is the average monthly income (NIS) from Transfers from abroad Data Dictionary & Questionnaire/Codebook All households 285 309.164 9641 9616.836 20 35000 1264.435 1437.387 2466.742 2638.997 What is the average monthly income (NIS) from Transfers from abroad Data Dictionary & Questionnaire/Codebook All households 2071 1857.354 7855 8068.646 3 5600 195.104 194.868 355.81 330.734 What is the average monthly income (NIS) from Social assistance Data Dictionary & Questionnaire/Codebook All households 1572 1550.655 8354 8375.345 2 15600 661.408 652.589 1070.14 1023.536 What is the average monthly income (NIS) from Social assistance What is the average monthly income (NIS) from Wages and salaries from international agencies Data Dictionary & Questionnaire/Codebook All households 177 179.474 9749 9746.526 30 42000 2843.734 2849.014 3322.418 2702.379 What is the average monthly income (NIS) from Wages and salaries from international agencies What is the average monthly income (NIS) from National insurance (Jerusalem) Data Dictionary & Questionnaire/Codebook All households 188 562.587 9738 9363.413 130 80000 2783.468 2994.99 7493.119 7807.381 What is the average monthly income (NIS) from National insurance (Jerusalem) What is the average monthly income (NIS) from Property income Data Dictionary & Questionnaire/Codebook All households 201 238.561 9725 9687.439 70 50000 2585.488 2584.423 4632.796 4859.225 What is the average monthly income (NIS) from Property income What is the average monthly income (NIS) from Other:………………………? Data Dictionary & Questionnaire/Codebook All households 65 69.587 9861 9856.413 5 25000 2259.954 2425.018 4229.439 4483.716 What is the average monthly income (NIS) from Other:………………………? During the past 12 months, did the hh or any of its members practiced any privat Data Dictionary & Questionnaire/Codebook All households 9919 9920.209 7 5.791 During the past 12 months, did the hh or any of its members practiced any privately owned agricultural activity 1 Yes 891 904.75 2 No 9028 9015.459 Sysmiss 7 5.791 Area of land planted during the Last Twelve Months (in Dunums) Data Dictionary & Questionnaire/Codebook All households 891 904.75 9035 9021.25 0 30000 212.715 209.682 1326.084 1415.381 Area of land planted during the Last Twelve Months (in Dunums) What type of agriculture Protected vegetable (greenhouses) Data Dictionary & Questionnaire/Codebook All households 891 904.75 9035 9021.25 What type of agriculture Protected vegetable (greenhouses) 1 Yes 69 53.062 2 No 822 851.688 Sysmiss 9035 9021.25 What type of agriculture Irrigated open field Data Dictionary & Questionnaire/Codebook All households 891 904.75 9035 9021.25 What type of agriculture Irrigated open field 1 Yes 266 244.619 2 No 625 660.131 Sysmiss 9035 9021.25 What type of agriculture Rain fed open field Data Dictionary & Questionnaire/Codebook All households 891 904.75 9035 9021.25 What type of agriculture Rain fed open field 1 Yes 632 673.901 2 No 259 230.848 Sysmiss 9035 9021.25 If the land was owned by the HH of any of its members, how would you estimate the value of each dunum (in JD) Data Dictionary & Questionnaire/Codebook All households 891 904.75 9035 9021.25 1 999999 35252.927 35072.921 86024.392 84776.201 If the land was owned by the HH of any of its members, how would you estimate the value of each dunum (in JD) What is the value in NIS of the production during 2017 Data Dictionary & Questionnaire/Codebook All households 891 904.75 9035 9021.25 1 400000 6379.374 5215.498 18523.812 12861.359 What is the value in NIS of the production during 2017 What is the value in NIS of the production that was consumed within the HH of the total production during 2017 Data Dictionary & Questionnaire/Codebook All households 891 904.75 9035 9021.25 1 35000 2014.705 2042.398 3178.191 3090.9 What is the value in NIS of the production that was consumed within the HH of the total production during 2017 During the last twelve months have the hh or one of its members practiced animal husbandry Data Dictionary & Questionnaire/Codebook All households 9919 9920.209 7 5.791 During the last twelve months have the hh or one of its members practiced animal husbandry 1 Yes 623 632.325 2 No 9296 9287.884 Sysmiss 7 5.791 Number of cows as in 26/8/2018 Data Dictionary & Questionnaire/Codebook All households 623 632.325 9303 9293.675 Number of cows as in 26/8/2018 0 599 610.8 1 6 5.917 2 2 2.095 3 5 2.83 4 1 1.176 6 1 0.365 8 1 1.132 10 2 2.228 20 1 0.905 25 1 0.889 80 1 0.889 150 1 0.884 170 1 0.886 1480 1 1.33 Sysmiss 9303 9293.675 Revenues during the last twelve months in NIS from cows Data Dictionary & Questionnaire/Codebook All households 24 21.525 9902 9904.475 0 931212 48963 68329.383 188933.571 227591.015 Revenues during the last twelve months in NIS from cows Value of self-consumed during the last twelve months from cows Data Dictionary & Questionnaire/Codebook All households 24 21.525 9902 9904.475 Value of self-consumed during the last twelve months from cows 0 4 2.943 10 1 0.355 50 1 0.889 100 3 3.062 240 1 1.127 300 2 1.583 500 2 2.124 1000 1 0.889 1500 2 1.624 2000 1 0.374 2400 1 1.401 3000 3 2.425 6000 1 1.398 7000 1 1.33 Sysmiss 9902 9904.475 If you are to sell this holding what would be the estimated cost for cows Data Dictionary & Questionnaire/Codebook All households 24 21.525 9902 9904.475 0 99999 28333.708 29863.909 31866.654 32591.794 If you are to sell this holding what would be the estimated cost for cows Number of Goats as in 26/8/2018 Data Dictionary & Questionnaire/Codebook All households 623 632.325 9303 9293.675 0 250 4.103 4.682 18.153 17.54 Number of Goats as in 26/8/2018 Data Dictionary & Questionnaire/Codebook All households 120 144.374 9806 9781.626 0 75000 6234.5 6045.208 12356.101 9018.431 Value of self-consumed during the last twelve months from Goats Data Dictionary & Questionnaire/Codebook All households 120 144.374 9806 9781.626 0 40000 2393.808 2848.007 5221.607 4560.292 Value of self-consumed during the last twelve months from Goats If you are to sell this holding what would be the estimated cost for Goats Data Dictionary & Questionnaire/Codebook All households 120 144.374 9806 9781.626 0 99999 18466.233 17893.197 24396.451 21996.577 If you are to sell this holding what would be the estimated cost for Goats Data Dictionary & Questionnaire/Codebook All households 623 632.325 9303 9293.675 0 270 5.396 4.463 21.91 19.876 Revenues during the last twelve months in NIS from Sheep Data Dictionary & Questionnaire/Codebook All households 180 172.367 9746 9753.633 0 100000 6727.233 5930.777 14594.007 13894.048 Revenues during the last twelve months in NIS from Sheep Value of self-consumed during the last twelve months from Sheep Data Dictionary & Questionnaire/Codebook All households 180 172.367 9746 9753.633 0 60000 2762.444 2635.231 8182.871 7981.669 Value of self-consumed during the last twelve months from Sheep If you are to sell this holding what would be the estimated cost for Sheep Data Dictionary & Questionnaire/Codebook All households 180 172.367 9746 9753.633 28 99999 15781.811 13363.809 19903.62 17367.651 If you are to sell this holding what would be the estimated cost for Sheep Number of Poultry as in 26/8/2018 Data Dictionary & Questionnaire/Codebook All households 623 632.325 9303 9293.675 0 50000 119.931 155.899 2038.59 2412.732 Number of Poultry as in 26/8/2018 Data Dictionary & Questionnaire/Codebook All households 385 368.152 9541 9557.848 0 400000 1350.125 1834.619 20615.817 24397.719 Value of self-consumed during the last twelve months from Poultry Data Dictionary & Questionnaire/Codebook All households 385 368.152 9541 9557.848 0 10000 280.46 306.436 770.338 866.512 Value of self-consumed during the last twelve months from Poultry If you are to sell this holding what would be the estimated cost for Poultry Data Dictionary & Questionnaire/Codebook All households 385 368.152 9541 9557.848 0 85000 750.678 906.784 4934.748 5773.528 If you are to sell this holding what would be the estimated cost for Poultry Data Dictionary & Questionnaire/Codebook All households 623 632.325 9303 9293.675 0 623 632.325 Sysmiss 9303 9293.675 Revenues during the last twelve months in NIS from Camels Data Dictionary & Questionnaire/Codebook All households 0 0 9926 9926 Revenues during the last twelve months in NIS from Camels Sysmiss 9926 9926 Value of self-consumed during the last twelve months from Camels Data Dictionary & Questionnaire/Codebook All households 0 0 9926 9926 Value of self-consumed during the last twelve months from Camels Sysmiss 9926 9926 If you are to sell this holding what would be the estimated cost for Camels Data Dictionary & Questionnaire/Codebook All households 0 0 9926 9926 If you are to sell this holding what would be the estimated cost for Camels Sysmiss 9926 9926 Data Dictionary & Questionnaire/Codebook All households 623 632.325 9303 9293.675 0 615 624.949 1 1 0.897 3 1 1.427 4 1 1.32 5 1 0.329 10 1 1.146 13 1 0.411 15 1 1.404 20 1 0.442 Sysmiss 9303 9293.675 Revenues during the last twelve months in NIS from Beehives Data Dictionary & Questionnaire/Codebook All households 8 7.376 9918 9918.624 Revenues during the last twelve months in NIS from Beehives 0 3 3.076 500 1 0.897 3000 1 1.404 4500 1 1.146 5000 1 0.411 10000 1 0.442 Sysmiss 9918 9918.624 Value of self-consumed during the last twelve months from Beehives Data Dictionary & Questionnaire/Codebook All households 8 7.376 9918 9918.624 100 3500 931.25 654.695 1091.178 827.78 Value of self-consumed during the last twelve months from Beehives If you are to sell this holding what would be the estimated cost for Beehives Data Dictionary & Questionnaire/Codebook All households 8 7.376 9918 9918.624 If you are to sell this holding what would be the estimated cost for Beehives 0 1 0.897 1000 1 0.329 1500 1 1.427 2000 1 1.32 2500 1 0.442 4000 1 1.146 6500 1 0.411 7500 1 1.404 Sysmiss 9918 9918.624 Data Dictionary & Questionnaire/Codebook All households 623 632.325 9303 9293.675 0 120 2.234 1.835 8.75 7.541 Revenues during the last twelve months in NIS from Other animals Data Dictionary & Questionnaire/Codebook All households 87 77.64 9839 9848.36 Revenues during the last twelve months in NIS from Other animals 0 61 55.492 2 1 1.154 40 1 1.209 50 1 1.18 100 4 2.946 150 1 0.2 200 2 2.262 250 1 1.256 300 1 1.225 375 1 0.337 400 1 0.415 480 1 1.143 500 1 1.124 600 2 1.447 650 1 1.217 1000 1 0.164 2000 1 0.715 2500 1 0.573 5000 1 0.719 6500 1 0.246 7200 1 1.229 10000 1 1.387 Sysmiss 9839 9848.36 Value of self-consumed during the last twelve months from Other animals Data Dictionary & Questionnaire/Codebook All households 87 77.64 9839 9848.36 0 5000 220.023 240.009 729.827 800.675 Value of self-consumed during the last twelve months from Other animals If you are to sell this holding what would be the estimated cost for Other anima Data Dictionary & Questionnaire/Codebook All households 87 77.64 9839 9848.36 0 25000 745.977 876.642 2772.276 3359.135 If you are to sell this holding what would be the estimated cost for Other anima During the past twelve months, did the hh or any of the hh members worked in non-agricultural private family business? Data Dictionary & Questionnaire/Codebook All households 9919 9920.209 7 5.791 During the past twelve months, did the hh or any of the hh members worked in non-agricultural private family business? 1 Yes 775 770.807 2 No 9144 9149.401 Sysmiss 7 5.791 In which economic sector can this project be classified Data Dictionary & Questionnaire/Codebook All households 775 770.807 9151 9155.193 In which economic sector can this project be classified 1 Mining quarrying 11 14.016 2 Manufactiring 81 86.018 3 Construction 23 25.093 4 Commerce 375 365.663 5 Transport and storage 109 104.732 6 Hotels and restaurants 47 52.983 7 Information and communication 9 8.656 8 Insurance and financial services 2 1.823 9 Real estate services 6 5.332 10 Education 14 16.67 11 Personal care 13 10.55 12 cultural recreational 11 9.441 13 Other 74 69.83 Sysmiss 9151 9155.193 Where is the project located Data Dictionary & Questionnaire/Codebook All households 775 770.807 9151 9155.193 Where is the project located 1 In the residence/ housing unit 58 58.615 2 within the same locality 496 489.103 3 Within same governorate 181 184.334 4 In another governorate 33 32.534 5 Abroad 2 2.104 6 Other 5 4.118 Sysmiss 9151 9155.193 What is the income in NIS generated by the project during the past year Data Dictionary & Questionnaire/Codebook All households 775 770.807 9151 9155.193 0 960000 25149.156 29488.802 57913.914 65878.614 What is the income in NIS generated by the project during the past year What is the overall value of the projects production and other assets (other than land in NIS)? Data Dictionary & Questionnaire/Codebook All households 774 770.039 9152 9155.961 0 999999 39738.585 43379.59 78342.954 84667.042 What is the overall value of the projects production and other assets (other than land in NIS)? What is the value of project land (apart from the agricultural land reported above) in NIS? Data Dictionary & Questionnaire/Codebook All households 774 770.039 9152 9155.961 0 900000 17379.806 17274.32 72934.242 72177.681 What is the value of project land (apart from the agricultural land reported above) in NIS? What is the value of the office space, storage, or any other building used for the project in NIS? Data Dictionary & Questionnaire/Codebook All households 774 770.039 9152 9155.961 0 500000 18902.804 19713.712 43762.217 45135.057 What is the value of the office space, storage, or any other building used for the project in NIS? What is the value of the vehicles used for the project in NIS Data Dictionary & Questionnaire/Codebook All households 774 770.039 9152 9155.961 0 999999 20780.074 22170.744 64389.642 67727.225 What is the value of the vehicles used for the project in NIS What is on average the revenues generated during the past 12 months from Selling property, land and other (NIS) Data Dictionary & Questionnaire/Codebook All households 9918 9919.44 8 6.56 0 500000 856.824 904.801 12823.502 13813.352 What is on average the revenues generated during the past 12 months from Selling property, land and other (NIS) What is on average the revenues generated during the past 12 months from Selling durable HH goods Data Dictionary & Questionnaire/Codebook All households 9918 9919.44 8 6.56 0 50000 48.771 48.094 874.768 915.804 What is on average the revenues generated during the past 12 months from Selling durable HH goods What is on average the revenues generated during the past 12 months from Selling Assets Data Dictionary & Questionnaire/Codebook All households 9918 9919.44 8 6.56 0 931212 246.81 254.94 10244.966 11425.55 What is on average the revenues generated during the past 12 months from Selling Assets Data Dictionary & Questionnaire/Codebook All households 9918 9919.44 8 6.56 0 750000 415.033 406.565 10729.547 9161.369 Did the HH or any of it members received money from Gifts from individuals (NIS) Data Dictionary & Questionnaire/Codebook All households 9918 9919.44 8 6.56 0 50000 457.118 420.476 1659.561 1502.4 Did the HH or any of it members received money from Gifts from individuals (NIS) Did the HH or any of it members received money from Other (NIS) Data Dictionary & Questionnaire/Codebook All households 9918 9919.44 8 6.56 0 360000 147.084 153.338 3757.514 4429.558 Did the HH or any of it members received money from Other (NIS) To what extent would you say that in general movement restrictions represented an obstacle to you /your family during the first half of survey year? Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 To what extent would you say that in general movement restrictions represented an obstacle to you /your family during the first half of survey year? 1 Very Much 1207 1144.732 2 Minor 2400 2263.681 3 Not an obstacle 6185 6347.081 9 Don't know 127 165.707 Sysmiss 7 4.8 During the first half of the survey year did you or any HH member face difficulty in accessing - work place Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 During the first half of the survey year did you or any HH member face difficulty in accessing - work place 1 No difficulty 7076 7094.642 2 Minor difficulty 833 778.591 3 Big difficulty 684 648.452 8 Not applicable 1307 1368.061 9 Don't know 19 31.454 Sysmiss 7 4.8 Access Restrictions related (crossing, check point, no go zone etc) for the work Data Dictionary & Questionnaire/Codebook All households 1517 1427.043 8409 8498.957 Access Restrictions related (crossing, check point, no go zone etc) for the work 1 Yes 903 872.189 2 No 614 554.854 Sysmiss 8409 8498.957 Cost related reasons for the work place is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 1517 1427.043 8409 8498.957 Cost related reasons for the work place is Reasons of difficulties 1 Yes 867 783.316 2 No 650 643.727 Sysmiss 8409 8498.957 Bombing and military operations for the work place is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 1517 1427.043 8409 8498.957 Bombing and military operations for the work place is Reasons of difficulties 1 Yes 157 134.256 2 No 1360 1292.787 Sysmiss 8409 8498.957 other reasons for the work place is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 1517 1427.043 8409 8498.957 Other reasons for the work place is Reasons of difficulties 1 Yes 213 214.02 2 No 1304 1213.023 Sysmiss 8409 8498.957 During the first half of of the survey year did you or any HH member face difficulty in accessing - plant your land Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 During the first half of of the survey year did you or any HH member face difficulty in accessing - plant your land 1 No difficulty 3381 3380.867 2 Minor difficulty 78 73.76 3 Big difficulty 210 206.544 8 Not applicable 6232 6233.195 9 Don't know 18 26.834 Sysmiss 7 4.8 Access Restrictions related (crossing, check point, no go zone etc) for the plant your land Data Dictionary & Questionnaire/Codebook All households 288 280.304 9638 9645.696 Access Restrictions related (crossing, check point, no go zone etc) for the plant your land 1 Yes 242 235.871 2 No 46 44.433 Sysmiss 9638 9645.696 Cost related reasons for the plant your land is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 288 280.304 9638 9645.696 Cost related reasons for the plant your land is Reasons of difficulties 1 Yes 97 90.438 2 No 191 189.866 Sysmiss 9638 9645.696 Bombing and military operations for the plant your land is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 288 280.304 9638 9645.696 Bombing and military operations for the plant your land is Reasons of difficulties 1 Yes 79 60.495 2 No 209 219.809 Sysmiss 9638 9645.696 other reasons for the plant your land is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 288 280.304 9638 9645.696 Other reasons for the plant your land is Reasons of difficulties 1 Yes 46 41.541 2 No 242 238.762 Sysmiss 9638 9645.696 During the first half of of the survey year did you or any HH member face difficulty in accessing - school or collage Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 During the first half of of the survey year did you or any HH member face difficulty in accessing - school or collage 1 No difficulty 6076 6445.842 2 Minor difficulty 587 589.779 3 Big difficulty 401 400.956 8 Not applicable 2846 2469.856 9 Don't know 9 14.767 Sysmiss 7 4.8 Access Restrictions related (crossing, check point, no go zone etc) for the school or collage Data Dictionary & Questionnaire/Codebook All households 988 990.734 8938 8935.266 Access Restrictions related (crossing, check point, no go zone etc) for the school or collage 1 Yes 146 147.88 2 No 842 842.854 Sysmiss 8938 8935.266 Cost related reasons for the school or collage is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 988 990.734 8938 8935.266 Cost related reasons for the school or collage is Reasons of difficulties 1 Yes 825 817.741 2 No 163 172.993 Sysmiss 8938 8935.266 Bombing and military operations for the school or collage is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 988 990.734 8938 8935.266 Bombing and military operations for the school or collage is Reasons of difficulties 1 Yes 99 93.421 2 No 889 897.313 Sysmiss 8938 8935.266 other reasons for the school or collage is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 988 990.734 8938 8935.266 Other reasons for the school or collage is Reasons of difficulties 1 Yes 205 210.44 2 No 783 780.295 Sysmiss 8938 8935.266 During the first half of of the survey year did you or any HH member face difficulty in accessing - health facility Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 During the first half of of the survey year did you or any HH member face difficulty in accessing - health facility 1 No difficulty 8469 8572.363 2 Minor difficulty 798 740.407 3 Big difficulty 542 510.692 8 Not applicable 104 81.878 9 Don't know 6 15.86 Sysmiss 7 4.8 Access Restrictions related (crossing, check point, no go zone etc) for the heal Data Dictionary & Questionnaire/Codebook All households 1340 1251.099 8586 8674.901 Access Restrictions related (crossing, check point, no go zone etc) for the health facility 1 Yes 181 173.75 2 No 1159 1077.349 Sysmiss 8586 8674.901 Cost related reasons for the health facility is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 1340 1251.099 8586 8674.901 Cost related reasons for the health facility is Reasons of difficulties 1 Yes 1178 1086.801 2 No 162 164.298 Sysmiss 8586 8674.901 Bombing and military operations for the health facility is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 1340 1251.099 8586 8674.901 Bombing and military operations for the health facility is Reasons of difficulties 1 Yes 142 125.557 2 No 1198 1125.542 Sysmiss 8586 8674.901 Data Dictionary & Questionnaire/Codebook All households 1340 1251.099 8586 8674.901 1 Yes 239 237.674 2 No 1101 1013.425 Sysmiss 8586 8674.901 During the first half of of the survey year did you or any HH member face difficulty in accessing - Inside the seam zone Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 During the first half of of the survey year did you or any HH member face difficulty in accessing - Inside the seam zone 1 No difficulty 2624 2416.027 2 Minor difficulty 650 547.655 3 Big difficulty 650 541.251 8 Not applicable 5894 6316.276 9 Don't know 101 99.991 Sysmiss 7 4.8 Access Restrictions related (crossing, check point, no go zone etc) for the Inside the same zone Data Dictionary & Questionnaire/Codebook All households 1476 1273.348 8450 8652.652 Access Restrictions related (crossing, check point, no go zone etc) for the Inside the seam zone 1 Yes 193 195.167 2 No 1283 1078.181 Sysmiss 8450 8652.652 Cost related reasons for the Inside the seam zone is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 1476 1273.348 8450 8652.652 Cost related reasons for the Inside the seam zone is Reasons of difficulties 1 Yes 1368 1156.222 2 No 108 117.126 Sysmiss 8450 8652.652 Bombing and military operations for the Inside the seam zone is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 1476 1273.348 8450 8652.652 Bombing and military operations for the Inside the seam zone is Reasons of difficulties 1 Yes 170 144.978 2 No 1306 1128.37 Sysmiss 8450 8652.652 other reasons for the Inside the seam zone is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 1476 1273.348 8450 8652.652 Other reasons for the Inside the seam zone is Reasons of difficulties 1 Yes 122 118.299 2 No 1354 1155.049 Sysmiss 8450 8652.652 During the first half of of the survey year did you or any HH member face difficulty in accessing - Inside the separation barrier Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 During the first half of of the survey year did you or any HH member face difficulty in accessing - Inside the separation barrier 1 No difficulty 2885 3366.106 2 Minor difficulty 353 343.658 3 Big difficulty 707 672.232 8 Not applicable 4025 3604.924 9 Don't know 1949 1934.28 Sysmiss 7 4.8 Access Restrictions related (crossing, check point, no go zone etc) for the Inside the separation barrier Data Dictionary & Questionnaire/Codebook All households 1195 1136.225 8731 8789.775 Access Restrictions related (crossing, check point, no go zone etc) for the Inside the separation barrier 1 Yes 1150 1085.103 2 No 45 51.122 Sysmiss 8731 8789.775 Cost related reasons for the Inside the separation barrier is Reasons of difficu Data Dictionary & Questionnaire/Codebook All households 1195 1136.225 8731 8789.775 Cost related reasons for the Inside the separation barrier is Reasons of difficulties 1 Yes 572 549.023 2 No 623 587.202 Sysmiss 8731 8789.775 Bombing and military operations for the Inside the separation barrier is Reasons Data Dictionary & Questionnaire/Codebook All households 1195 1136.225 8731 8789.775 Bombing and military operations for the Inside the separation barrier is Reasons 1 Yes 88 83.52 2 No 1107 1052.705 Sysmiss 8731 8789.775 other reasons for the Inside the separation barrier is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 1195 1136.225 8731 8789.775 Other reasons for the Inside the separation barrier is Reasons of difficulties 1 Yes 86 88.541 2 No 1109 1047.684 Sysmiss 8731 8789.775 During the first half of of the survey year did you or any HH member face difficulty in accessing - outside the seam zone Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 During the first half of of the survey year did you or any HH member face difficulty in accessing - outside the seam zone 1 No difficulty 1520 1470.253 2 Minor difficulty 120 100.713 3 Big difficulty 741 596.679 8 Not applicable 5894 6316.276 9 Don't know 1644 1437.279 Sysmiss 7 4.8 Access Restrictions related (crossing, check point, no go zone etc) for the outside the seam zone Data Dictionary & Questionnaire/Codebook All households 1127 967.573 8799 8958.427 Access Restrictions related (crossing, check point, no go zone etc) for the outside the seam zone 1 Yes 1070 914.858 2 No 57 52.715 Sysmiss 8799 8958.427 Cost related reasons for the outside the seam zone is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 1127 967.573 8799 8958.427 Cost related reasons for the outside the seam zone is Reasons of difficulties 1 Yes 893 726.685 2 No 234 240.887 Sysmiss 8799 8958.427 Bombing and military operations for the outside the seam zone is Reasons of diffulties Data Dictionary & Questionnaire/Codebook All households 1127 967.573 8799 8958.427 Bombing and military operations for the outside the seam zone is Reasons of diffulties 1 Yes 175 161.827 2 No 952 805.746 Sysmiss 8799 8958.427 other reasons for the outside the seam zone is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 1127 967.573 8799 8958.427 Other reasons for the outside the seam zone is Reasons of difficulties 1 Yes 52 53.479 2 No 1075 914.094 Sysmiss 8799 8958.427 During the first half of of the survey year did you or any HH member face diffic Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 During the first half of of the survey year did you or any HH member face difficulty in accessing - outside the separation barrier 1 No difficulty 3811 4188.003 2 Minor difficulty 256 269.64 3 Big difficulty 598 596.814 8 Not applicable 4025 3604.924 9 Don't know 1229 1261.82 Sysmiss 7 4.8 Access Restrictions related (crossing, check point, no go zone etc) for the outside the separation barrier Data Dictionary & Questionnaire/Codebook All households 930 934.78 8996 8991.22 Access Restrictions related (crossing, check point, no go zone etc) for the outside the separation barrier 1 Yes 889 890.661 2 No 41 44.119 Sysmiss 8996 8991.22 Cost related reasons for the outside the separation barrier is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 930 934.78 8996 8991.22 Cost related reasons for the outside the separation barrier is Reasons of difficulties 1 Yes 439 440.241 2 No 491 494.539 Sysmiss 8996 8991.22 Bombing and military operations for the outside the separation barrier is Reason of difficulties Data Dictionary & Questionnaire/Codebook All households 930 934.78 8996 8991.22 Bombing and military operations for the outside the separation barrier is Reason of difficulties 1 Yes 122 125.668 2 No 808 809.112 Sysmiss 8996 8991.22 other reasons for the outside the separation barrier is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 930 934.78 8996 8991.22 other reasons for the outside the separation barrier is Reasons of difficulties 1 Yes 79 94.591 2 No 851 840.189 Sysmiss 8996 8991.22 How far is your residence from public transport Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 How far is your residence from public transport 1 500 m and less 8335 8438.975 2 501m to 3000 m 1502 1414.642 3 more than 3000 m 82 67.582 Sysmiss 7 4.8 What is the most frequent used transportation mean for public transport Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 What is the most frequent used transportation mean for public transport 1 walking 8969 8930.908 2 private car 397 439.022 3 Public transport 254 266.295 4 taxi 290 273.584 5 Other 9 11.39 Sysmiss 7 4.8 Duration of trip for public transport Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 0 500 6.29 6.402 7.309 9.12 Duration of trip for public transport How far is your residence from Closest private clinic Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 How far is your residence from Closest private clinic 1 500 m and less 4367 4428.077 2 501m to 3000 m 4847 4842.559 3 more than 3000 m 705 650.565 Sysmiss 7 4.8 What is the most frequent used transportation mean for Closest private clinic Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 What is the most frequent used transportation mean for Closest private clinic 1 walking 5295 5160.533 2 private car 1101 1239.181 3 Public transport 2778 2781.636 4 taxi 728 717.959 5 Other 17 21.892 Sysmiss 7 4.8 Duration of trip for Closest private clinic Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 0 120 10.256 10.475 6.716 7.156 Duration of trip for Closest private clinic How far is your residence from Public health center (maternal health center ) Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 How far is your residence from Public health center (maternal health center ) 1 500 m and less 3410 3467.411 2 501m to 3000 m 5840 5806.644 3 more than 3000 m 669 647.146 Sysmiss 7 4.8 Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 1 walking 4881 4683.929 2 private car 972 1152.652 3 Public transport 3358 3378.765 4 taxi 690 688.809 5 Other 18 17.044 Sysmiss 7 4.8 Duration of trip for Public health center (maternal health center ) Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 0 200 11.496 11.72 7.554 7.809 Duration of trip for Public health center (maternal health center ) How far is your residence from private or public hospital Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 How far is your residence from private or public hospital 1 500 m and less 1072 1134.012 2 501m to 3000 m 4949 4926.616 3 more than 3000 m 3898 3860.572 Sysmiss 7 4.8 What is the most frequent used transportation mean for private or public hospita Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 What is the most frequent used transportation mean for private or public hospita 1 walking 1298 1249.716 2 private car 1381 1594.22 3 Public transport 6319 6141.823 4 taxi 898 913.081 5 Other 23 22.361 Sysmiss 7 4.8 Duration of trip for private or public hospital Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 0 220 19.125 19.521 13.115 13.311 Duration of trip for private or public hospital How far is your residence from Pharmacy Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 How far is your residence from Pharmacy 1 500 m and less 6344 6391.351 2 501m to 3000 m 3225 3197.543 3 more than 3000 m 350 332.306 Sysmiss 7 4.8 What is the most frequent used transportation mean for Pharmacy Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 What is the most frequent used transportation mean for Pharmacy 1 walking 7308 7174.57 2 private car 859 943.442 3 Public transport 1321 1368.639 4 taxi 407 404.531 5 Other 24 30.019 Sysmiss 7 4.8 Duration of trip for Pharmacy Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 0 100 8.69 8.812 6.153 6.104 Duration of trip for Pharmacy How far is your residence from Closest primary school Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 How far is your residence from Closest primary school 1 500 m and less 5218 5290.058 2 501m to 3000 m 4501 4417.623 3 more than 3000 m 200 213.519 Sysmiss 7 4.8 What is the most frequent used transportation mean for Closest primary school Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 What is the most frequent used transportation mean for Closest primary school 1 walking 8412 8228.247 2 private car 420 485.461 3 Public transport 888 1016.588 4 taxi 172 154.867 5 Other 27 36.038 Sysmiss 7 4.8 Duration of trip for Closest primary school Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 0 500 11.197 11.298 8.557 8.279 Duration of trip for Closest primary school How far is your residence from Closest secondary school Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 How far is your residence from Closest secondary school 1 500 m and less 3801 3910.871 2 501m to 3000 m 5625 5496.442 3 more than 3000 m 493 513.887 Sysmiss 7 4.8 What is the most frequent used transportation mean for Closest secondary school Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 What is the most frequent used transportation mean for Closest secondary school 1 walking 7453 7286.89 2 private car 465 525.574 3 Public transport 1758 1880.446 4 taxi 193 169.015 5 Other 50 59.276 Sysmiss 7 4.8 Duration of trip for Closest secondary school Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 0 110 12.991 13.106 7.936 7.867 Duration of trip for Closest secondary school How far is your residence from Closest center to buy food/ food market Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 How far is your residence from Closest center to buy food/ food market 1 500 m and less 7951 7821.475 2 501m to 3000 m 1830 1904.248 3 more than 3000 m 138 195.476 Sysmiss 7 4.8 What is the most frequent used transportation mean for Closest center to buy food/ food market Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 What is the most frequent used transportation mean for Closest center to buy food/ food market 1 walking 8404 8176.922 2 private car 527 666.775 3 Public transport 791 867.414 4 taxi 184 196.347 5 Other 13 13.741 Sysmiss 7 4.8 Duration of trip for Closest center to buy food/ food market Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 0 320 6.715 7.127 6.237 6.906 Duration of trip for Closest center to buy food/ food market How far is your residence from Closest commercial center Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 How far is your residence from Closest commercial center 1 500 m and less 2315 2336.476 2 501m to 3000 m 4883 4953.481 3 more than 3000 m 2721 2631.243 Sysmiss 7 4.8 What is the most frequent used transportation mean for Closest commercial center Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 What is the most frequent used transportation mean for Closest commercial center 1 walking 2966 2884.778 2 private car 1147 1352.542 3 Public transport 5283 5168.923 4 taxi 484 476.065 5 Other 39 38.892 Sysmiss 7 4.8 Duration of trip for Closest commercial center Data Dictionary & Questionnaire/Codebook All households 9919 9921.2 7 4.8 0 350 15.174 15.429 10.949 10.66 Duration of trip for Closest commercial center Household weight Data Dictionary & Questionnaire/Codebook All households 9926 0 0.0108 13.677 1 0.634 Household weight Country Data Dictionary & Questionnaire/Codebook All individuals 50629 50629 0 0 A numeric variable representing the country and coded per the UN’s Dec. 2012, country classification. 12 Algeria 0 0 48 Bahrain 0 0 262 Djibouti 0 0 275 Palestine 50629 50629 368 Iraq 0 0 400 Jordan 0 0 414 Kuwait 0 0 422 Lebanon 0 0 434 Libya 0 0 478 Mauritania 0 0 504 Morocco 0 0 512 Oman 0 0 634 Qatar 0 0 682 Saudi Arabia 0 0 729 Sudan 0 0 760 Syrian Arab Republic 0 0 784 United Arab Emirates 0 0 788 Tunisia 0 0 818 Egypt 0 0 887 Yemen 0 0 Generated by ERF Survey year Data Dictionary & Questionnaire/Codebook All individuals 50629 50629 0 0 Year during which the survey was performed. 2018 50629 50629 Generated by ERF Data type Data Dictionary & Questionnaire/Codebook All individuals 50629 50629 0 0 This variable should indicate whether the survey data is cross-sectional or panel. 1 Cross-sectional 0 0 2 Panel 50629 50629 Generated by ERF Region Data Dictionary & Questionnaire/Codebook All individuals 50629 50629 0 0 Region of residence. 275001 West bank 27967 30443.788 275002 Gaza strip 22662 20185.212 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Urban/Rural residence Data Dictionary & Questionnaire/Codebook All individuals 50629 50629 0 0 Indicates whether the region is urban/rural. 0 Rural 7010 7412.195 1 Urban 38312 38372.616 2 Refugee camps 5307 4844.189 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Area Data Dictionary & Questionnaire/Codebook All individuals 50629 50629 0 0 275001 275075 Second geographical variable identifying another aspect of the location of the unit not described in REG such as city or village. 275001 Jenin 3228 3577.794 275005 Tubas 1254 733.759 275010 Tulkarm 1857 1886.592 275015 Nablus 4083 4390.245 275020 Qalqilia 1200 1203.336 275025 Salfit 1196 757.389 275030 Ramallah 2944 3277.227 275035 Jericho 1163 613.415 275040 Jerusalem 2147 3031.245 275045 Bethlehem 2285 2449.61 275050 Hebron 6610 8523.176 275055 North Gaza 4373 3861.665 275060 Gaza city 6998 6981.025 275065 Deir Al-Balah 3342 2961.97 275070 Khan Yunis 4909 4010.294 275075 Rafah 3040 2370.258 Individual weight Data Dictionary & Questionnaire/Codebook All individuals 50629 0 0.0104 14.129 1 0.546 Individual weight Unique household identifier Data Dictionary & Questionnaire/Codebook All individuals 50629 50629 0 0 Sequential anonymous household identifier, usually provided in the dataset. Generated by ERF Household panel identifier Data Dictionary & Questionnaire/Codebook Paneled individuals 42349 48061.872 8280 2567.128 This variable should indicate the identifiers of paneled households only, either those observed across different rounds during the survey year or across two successive years, depending on the sampling design. Generated by ERF Gender Data Dictionary & Questionnaire/Codebook All individuals 50629 50629 0 0 Indicator for the gender of the individual. 1 Male 25685 25759.887 2 Female 24944 24869.113 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Age Data Dictionary & Questionnaire/Codebook All individuals 50624 50622.591 5 6.409 0 98 24.18 23.805 18.439 18.437 Age of the individual in completed years. Individual identifier Data Dictionary & Questionnaire/Codebook All individuals 50629 50629 0 0 1 27 3.677 3.771 2.41 2.397 Individual identification number (usually the individual line number in the household). Original survey variable renamed (Ref: Data dictionary.pdf) Individual panel identifier Data Dictionary & Questionnaire/Codebook Paneled individuals 42349 48061.872 8280 2567.128 This variable contains the panel identification number of all surveyed individuals over more than one round during the survey year (or across two successive surveys). 1 7281 8231.606 2 7095 7857.662 3 5471 6252.217 4 5454 6241.825 5 4951 5675.725 6 4125 4706.808 7 3067 3522.379 8 1991 2255.809 9 1198 1338.671 10 670 749.685 11 378 422.009 12 228 258.43 13 144 167.06 14 90 114.391 15 61 89.412 16 43 55.913 17 27 37.438 18 19 23.46 19 15 16.243 20 8 8.749 21 7 7.789 22 8 8.42 23 7 6.907 24 3 4.156 25 3 3.138 26 3 3.058 27 2 2.912 Sysmiss 8280 2567.128 Original survey variable renamed (Ref: Data dictionary.pdf) Refugee Status Data Dictionary & Questionnaire/Codebook All individuals 50626 50624.47 3 4.53 Refugee Status 1 Registered Refugee 21446 19994.402 2 Unregistered Refugee 545 527.455 3 Not refugee 28635 30102.613 Sysmiss 3 4.53 Marital status [Standardized version] Data Dictionary & Questionnaire/Codebook Individuals aged 12+ 33724 32266.658 16905 18362.342 Legal administrative status concerning marriage & partnership (even if not married, an individual can still be legally recognized as being in a relationship). 1 Never married 11809 11853.771 2 Married monogamous 20397 18971.652 3 Married polygamous 69 54.407 4 Divorced/Separated 422 439.843 5 Widowed 1022 940.826 99 Not stated 5 6.159 Sysmiss 16905 18362.342 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Marital status [Detailed version] Data Dictionary & Questionnaire/Codebook Individuals aged 12+ 33724 32266.658 16905 18362.342 Detailed legal administrative status concerning marriage & partnership (even if not married, an individual can still be legally recognized as being in a relationship). 100 Never married 11809 11853.771 200 Married monogamous 0 0 210 Legally married 636 658.122 220 Married 19761 18313.531 300 Married polygamous 69 54.407 400 Divorced/Separated 0 0 410 Separated 54 56.427 420 Divorced 368 383.415 500 Widowed 1022 940.826 999 Not stated 5 6.159 Sysmiss 16905 18362.342 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Relationship to head [Standardized version] Data Dictionary & Questionnaire/Codebook All individuals 50629 50629 0 0 1 Head of household 9926 9435.39 2 Spouse 8887 8196.548 3 Son/daughter 28343 29871.577 4 Father/mother (parents) 426 316.597 5 Brother/sister 496 366.266 6 Grandchildren 1499 1523.305 7 Other relatives 1033 911.614 8 Other non-relatives 19 7.703 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Relationship to head [Detailed version] Data Dictionary & Questionnaire/Codebook All individuals 50629 50629 0 0 Relationship to the head of household, where the value '100' always stands for the head of the household him/herself. Detailed coding indicates different relations for other relatives and other non-relatives to the head. 100 Head of household 9926 9435.39 200 Spouse 8887 8196.548 300 Son/daughter 28343 29871.577 310 Adopted children 0 0 400 Father/mother (parents) 426 316.597 500 Brother/sister 496 366.266 600 Grandchildren 1499 1523.305 700 Other relatives 201 169.437 710 Son/daughter in law 824 735.299 720 Grandparents 8 6.878 730 Father/mother in law 0 0 740 Brother/sister in law 0 0 750 Nephew/niece 0 0 800 Other non-relatives 19 7.703 810 Servants 0 0 820 Doorkeeper 0 0 830 Driver 0 0 840 Shepherd 0 0 850 Farmer 0 0 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Head living in couple 9926 9435.39 40703 41193.61 Head living in couple 0 1109 1081.369 1 8748 8299.613 2 69 54.407 Sysmiss 40703 41193.61 Literacy status Data Dictionary & Questionnaire/Codebook Individuals aged 10+ 38238 37020.507 12391 13608.493 This variable indicates whether the individual is or is not literate (can read and write). 0 No 1272 1198.489 1 36961 35815.467 99 Not stated 5 6.551 Sysmiss 12391 13608.493 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Ever attended school Data Dictionary & Questionnaire/Codebook Individuals aged 10+ 45973 46482.943 4656 4146.057 This variable indicates whether the individual has ever attended school - academic, Koranic, or any other formal or informal education. 0 No 2779 3055.687 1 Yes 43189 43420.705 99 Not stated 5 6.551 Sysmiss 4656 4146.057 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) School attendance status Data Dictionary & Questionnaire/Codebook Individuals aged 10+ 45973 46482.943 4656 4146.057 0 No 28937 27961.223 1 Yes 17031 18515.169 99 Not stated 5 6.551 Sysmiss 4656 4146.057 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Educational level [Standardized version] Data Dictionary & Questionnaire/Codebook Individuals aged 10+ 38238 37020.507 12391 13608.493 This variable should indicate the highest level of education attained/ completed. 1 None 5206 5247.18 2 Primary/Lower secondary 18621 18297.396 3 Secondary 7380 6914.408 4 Post secondary or equivalent 1925 1764.315 5 University 4789 4457.974 6 Postgraduate 312 332.682 99 Not stated 5 6.551 Sysmiss 12391 13608.493 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Data Dictionary & Questionnaire/Codebook Individuals aged 10+ 38238 37020.507 12391 13608.493 Highest level of education attained (detailed version of coding). 100 None 0 0 110 Illiterate 1272 1198.489 120 Read only 0 0 130 3934 4048.691 140 Literacy classes/certificate 0 0 150 Never attended school 0 0 160 KG 0 0 170 Koranic KG (Kouttab) 0 0 180 Attending elementary school and did not complete first level 0 0 200 Primary/Lower secondary 0 0 210 Primary 7067 7158.412 220 Preparatory 11554 11138.985 230 Lower secondary 0 0 240 Professional/Vocational below secondary education 0 0 300 Secondary 7380 6914.408 310 Academic secondary 0 0 320 Professional/Vocational secondary 0 0 400 Post secondary or equivalent 1925 1764.315 500 University 4789 4457.974 600 Postgraduate 0 0 610 High diploma 52 55.875 620 Masters 212 226.785 630 PhD 48 50.023 999 Not stated 5 6.551 Sysmiss 12391 13608.493 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Number of effective years of schooling Data Dictionary & Questionnaire/Codebook Individuals aged 10+ 41547 41351.597 9082 9277.403 This is variable should indicate the total number of years of formal schooling successfully completed. 0 1115 1390.717 1 1148 1450.085 2 1360 1615.059 3 1401 1510.769 4 1606 1675.689 5 1891 1942.696 6 2476 2463.42 7 2190 2260.009 8 2400 2434.788 9 3637 3581.175 10 2665 2607.762 11 5252 4950.048 12 4701 4507.146 13 1000 907.762 14 2694 2464.87 15 804 702.563 16 4452 4119.173 17 340 337.91 18 271 284.775 19 66 66.577 20 35 34.745 21 15 15.48 22 11 11.627 23 6 7.344 24 7 5.078 25 2 1.805 26 2 2.526 Sysmiss 9082 9277.403 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Level of schooling presently attending Data Dictionary & Questionnaire/Codebook Currently enrolled individuals aged 10+ 10924 11033.975 39705 39595.025 This variable ideally provides information on the level of education in which the individual is enrolled. 1 Primary 2313 2446.225 2 Lower secondary 3213 3379.45 3 Higher secondary- academic 2657 2688.111 4 Higher secondary- technical/vocational 0 0 5 Post secondary- technical 0 0 6 University 2584 2369.146 7 Postgraduate 152 145.865 8 Other 5 5.179 99 Not stated 0 0 Sysmiss 39705 39595.025 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Why (name) has left school or has never been enrolled in education Data Dictionary & Questionnaire/Codebook Currently enrolled individuals aged 10+ 14481 13941.264 36148 36687.736 Why (name) has left school or has never been enrolled in education 1 Lack of desire for academic education 30 28.959 2 Lack of interest in education 256 270.458 3 Not interested in studying 155 142.731 4 Repeated failure 7 5.938 5 Poor economic status of the family 7023 6756.398 6 Having family problems 1891 1898.155 7 Taking care of family members 501 486.807 8 Marriage 2239 2040.473 9 Illness 528 484.622 10 Disability 1851 1826.724 11 No school nearby 0 0 12 The security situation 0 0 13 Maltreatment of teachers 0 0 14 Dismissal from school due to repeated failure 0 0 15 Others / specify .... 0 0 Sysmiss 36148 36687.736 Chronic Disease status Data Dictionary & Questionnaire/Codebook All Individuals 50629 50629 0 0 Chronic Disease status 0 No 46324 46430.079 1 Yes, has chronic disease 4305 4198.921 Disability status Data Dictionary & Questionnaire/Codebook All Individuals 50629 50629 0 0 Disability status 0 No 46493 46716.308 1 Disabled 4136 3912.692 Type of disability: Vision Data Dictionary & Questionnaire/Codebook All Individuals 50626 50624.47 3 4.53 Type of disability: Vision 0 No 48787 48903.881 1 Yes 1839 1720.589 Sysmiss 3 4.53 Type of disability: Hearing Data Dictionary & Questionnaire/Codebook All Individuals 50626 50624.47 3 4.53 Type of disability: Hearing 0 No 49587 49641.995 1 Yes 1039 982.476 Sysmiss 3 4.53 Type of disability: Movement and using hands Data Dictionary & Questionnaire/Codebook All Individuals 50626 50624.47 3 4.53 Type of disability: Movement and using hands 0 No 48486 48662.667 1 Yes 2140 1961.803 Sysmiss 3 4.53 Type of disability: Focus and memory Data Dictionary & Questionnaire/Codebook All Individuals 50626 50624.47 3 4.53 Type of disability: Focus and memory 0 No 49968 49990.433 1 Yes 658 634.037 Sysmiss 3 4.53 Type of disability: Communication Data Dictionary & Questionnaire/Codebook All Individuals 50626 50624.47 3 4.53 Type of disability: Communication 0 No 50035 50033.437 1 Yes 591 591.033 Sysmiss 3 4.53 Has health insurance Data Dictionary & Questionnaire/Codebook All individuals 50629 50629 0 0 This variable indicates whether the individual has health insurance. 0 No 11646 12233.208 1 Yes 38980 38391.263 99 Not stated 3 4.53 Main activity status in the reference period [Standardized version] Data Dictionary & Questionnaire/Codebook Individuals aged 7+ 41566 41005.504 9063 9623.496 Main activity status with respect to the labor force, which distinguishes between the employed and the not employed. The employed are those for whom work is the main activity, while for all the others the main activity should attempt to distinguish between pensioners, students, and homemakers. 1 Employed 10315 10174.273 2 Unemployed 3845 3344.309 3 Homemaker (Housewife) 10047 9503.819 4 Student 14191 15019.023 5 Pensioners/retired/disabled 2780 2610.642 6 Others 381 345.007 99 Not stated 7 8.431 Sysmiss 9063 9623.496 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Main activity status in the reference period [Detailed version] Data Dictionary & Questionnaire/Codebook Individuals aged 7+ 41566 41005.504 9063 9623.496 Main activity status with respect to the labor force, which distinguishes between the employed and the not employed. The employed are those for whom work is the main activity, while for all the others the main activity should attempt to distinguish between pensioners, students, and homemakers. This detailed variable also distinguishes between different types of employment and unemployment. 100 Employed 10315 10174.273 110 Employed but temporary absent from work 0 0 111 Sick leave/Ill 0 0 112 Vacation/Official vacation 0 0 113 Temporary stoppage of the industry 0 0 114 Travel 0 0 115 Strike/Curfew 0 0 120 Managing own properties 0 0 130 Employed but temporary unpaid 0 0 131 Arranges to take up paid/self- employment activity 0 0 132 Waiting for the start date of an agreed work 0 0 133 Waiting to have clients 0 0 134 Unpaid leave for more than one year 0 0 135 Waiting to go back to previous job 0 0 200 Unemployed 0 0 210 Unemployed ever worked (seeking a job) 1631 1474.872 220 Unemployed never worked (seeking a job) 2214 1869.437 230 Unemployed (not seeking a job) 0 0 231 Awaiting a recall to a previous job (temporary laid off) 0 0 232 Awaiting work applications/interviews/competitions results 0 0 233 Unable to issue work permission due to political circumstanc 0 0 234 Not able to seek a job due to closure/curfew 0 0 235 In military service 0 0 300 Homemaker (Housewife) 10047 9503.819 310 Homemaker 0 0 320 Housewife 0 0 400 Student 14191 15019.023 500 Pensioners/retired/disabled 0 0 510 Pensioners 0 0 520 Retired 512 506.001 530 Disabled 0 0 540 Unable to work 0 0 550 Old 0 0 560 Disabled/Old/Ill 2268 2104.641 600 Others 238 222.336 610 Out of labor force 0 0 620 Discouraged unemployment 0 0 630 Not working and not looking for a job 0 0 640 Have income/revenue/means 143 122.671 650 In prison 0 0 660 In hospital 0 0 670 Landlord 0 0 680 Family responsibilities 0 0 999 Not stated 7 8.431 Sysmiss 9063 9623.496 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Labor force status in the reference period Data Dictionary & Questionnaire/Codebook Individuals aged 7+ 41566 41005.504 9063 9623.496 The current labor force status should distinguish between the active (employed or unemployed) and inactive individuals (out of the labor force). 1 Active 14160 13518.582 2 Inactive 27399 27478.491 99 Not stated 7 8.431 Sysmiss 9063 9623.496 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Status of employment in the main job during the reference period Data Dictionary & Questionnaire/Codebook Employed individuals aged 7+ 11946 11649.145 38683 38979.855 Detailed description of the employment status (employee, own-account workers, employer, unpaid family worker, etc.) in the main job, ideally following the ICSE classification (1993). 1 Employee 9596 9307.167 2 Employer 606 645.081 3 Own-account, self-employed 1420 1398.385 4 Contributing (unpaid) family worker 324 298.512 5 Members of producers cooperatives 0 0 6 Workers not classifiable by status (other) 0 0 99 Not stated 0 0 Sysmiss 38683 38979.855 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) What is the place of work of (the name) Data Dictionary & Questionnaire/Codebook Employed individuals aged 7+ 11946 38683 What is the place of work of (the name) 1 in the housing unit 175 2 within the same locality 5031 3 within the same governorate 3872 4 in another governorate 1399 5 in Israel 1121 6 in Settlements 305 7 Abroad 43 Sysmiss 38683 Occupation classification of the main job [Standardized version] Data Dictionary & Questionnaire/Codebook Employed individuals aged 7+ 11947 11650.312 38682 38978.688 Standardized occupation classification for the main job. 10 Legislators, senior officials and managers 521 530.88 20 Professionals 1651 1653.707 30 Technicians and associate professionals 687 674.563 40 Clerks 233 227.811 50 Service workers and shop and market sales workers 2231 2157.075 60 Skilled agricultural and fishery workers 296 253.75 70 Craft and related trades workers 2465 2532.694 80 Plant and machine operators, and assemblers 1072 1083.822 90 Elementary occupations 2790 2535.746 100 Armed forces 0 0 998 Other/unspecified 0 0 999 Not stated 1 0.265 Sysmiss 38682 38978.688 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Occupation classification of the main job [ISCO 2008-2 digits] Data Dictionary & Questionnaire/Codebook Employed individuals aged 7+ 11947 11650.312 38682 38978.688 Occupation classification of the previous/last held job, following the 1-digits International Standard Classification of Occupations for the year 2008 (ISCO-08). 1 Legislators, senior officials and managers 521 530.88 2 Professionals 1651 1653.707 3 Technicians and associate professionals 687 674.563 4 Clerks 233 227.811 5 Service workers and shop and market sales workers 2231 2157.075 6 Skilled agricultural and fishery workers 296 253.75 7 Craft and related trades workers 2465 2532.694 8 Plant and machine operators and assemblers 1072 1083.822 9 Elementary occupations 2790 2535.746 9998 Unspecified codes 0 0 9999 Not stated 1 0.265 Sysmiss 38682 38978.688 Economic activity classification of the main job [Standardized version] Data Dictionary & Questionnaire/Codebook Employed individuals aged 7+ 11945 11648.888 38684 38980.112 Standardized economic activity classification for the main job. 10 Agriculture, forestry and fishing 927 727.137 20 Mining and quarrying 43 45.782 30 Manufacturing 1422 1446.387 40 Electricity, gas and water supply 67 67.472 50 Construction 2584 2577.842 60 Wholesale and retail trade 2151 2067.606 70 Transportation and storage 686 659.784 80 Accommodation and food service activities 375 372.998 90 Information and communication 105 98.577 100 Financial and insurance activities 89 93.327 110 Real estate, professional and support service activities 305 298.428 120 Public administration and defense 1291 1262.563 130 Education 977 1035.162 140 Human health and social work activities 392 396.994 150 Other activities 521 490.22 998 Unspecified 0 0 999 Not stated 10 8.61 Sysmiss 38684 38980.112 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Economic activity classification of the main job [ISIC Rev.4-2 digits] Data Dictionary & Questionnaire/Codebook Employed individuals aged 7+ 11945 11648.888 38684 38980.112 Economic activity classification of the main job, following the 2-digits International Standard Industrial Classification of All Economic Activities, Revision 4 (ISIC Rev.4). 1 Crop and animal production, hunting and related service acti 927 727.137 2 Forestry and logging 0 0 3 Fishing and aquaculture 0 0 5 Mining of coal and lignite 43 45.782 6 Extraction of crude petroleum and natural gas 0 0 7 Mining of metal ores 0 0 8 Other mining and quarrying 0 0 9 Mining support service activities 0 0 10 Manufacture of food products 1422 1446.387 11 Manufacture of beverages 0 0 12 Manufacture of tobacco products 0 0 13 Manufacture of textiles 0 0 14 Manufacture of wearing apparel 0 0 15 Manufacture of leather and related products 0 0 16 Manufacture of wood/cork and its products, except furniture; 0 0 17 Manufacture of paper and paper products 0 0 18 Printing and reproduction of recorded media 0 0 19 Manufacture of coke and refined petroleum products 0 0 20 Manufacture of chemicals and chemical products 0 0 21 Manufacture of basic pharmaceutical products and pharmaceuti 0 0 22 Manufacture of rubber and plastics products 0 0 23 Manufacture of other non-metallic mineral products 0 0 24 Manufacture of basic metals 0 0 25 Manufacture of fabricated metal products, except machinery a 0 0 26 Manufacture of computer, electronic and optical products 0 0 27 Manufacture of electrical equipment 0 0 28 Manufacture of machinery and equipment n.e.c. 0 0 29 Manufacture of motor vehicles, trailers and semi-trailers 0 0 30 Manufacture of other transport equipment 0 0 31 Manufacture of furniture 0 0 32 Other manufacturing 0 0 33 Repair and installation of machinery and equipment 0 0 35 Electricity, gas, steam and air conditioning supply 29 27.72 36 Water collection, treatment and supply 38 39.751 37 Sewerage 0 0 38 Waste collection, treatment and disposal activities; materia 0 0 39 Remediation activities and other waste management services 0 0 41 Construction of buildings 2584 2577.842 42 Civil engineering 0 0 43 Specialized construction activities 0 0 45 Wholesale and retail trade and repair of motor vehicles and 2151 2067.606 46 Wholesale trade, except of motor vehicles and motorcycles 0 0 47 Retail trade, except of motor vehicles and motorcycles 0 0 49 Land transport and transport via pipelines 686 659.784 50 Water transport 0 0 51 Air transport 0 0 52 Warehousing and support activities for transportation 0 0 53 Postal and courier activities 0 0 55 Accommodation 375 372.998 56 Food and beverage service activities 0 0 58 Publishing activities 105 98.577 59 Motion picture, video and television program production, sou 0 0 60 Programming and broadcasting activities 0 0 61 Telecommunications 0 0 62 Computer programming, consultancy and related activities 0 0 63 Information service activities 0 0 64 Financial service activities, except insurance and pension f 89 93.327 65 Insurance, reinsurance and pension funding, except compulsor 0 0 66 Activities auxiliary to financial service and insurance acti 0 0 68 Real estate activities 17 18.041 69 Legal and accounting activities 161 158.273 70 Activities of head offices; management consultancy activitie 0 0 71 Architectural and engineering activities; technical testing 0 0 72 Scientific research and development 0 0 73 Advertising and market research 0 0 74 Other professional, scientific and technical activities 0 0 75 Veterinary activities 0 0 77 Rental and leasing activities 127 122.114 78 Employment activities 0 0 79 Travel agency, tour operator, reservation service and relate 0 0 80 Security and investigation activities 0 0 81 Services to buildings and landscape activities 0 0 82 Office administrative, office support and other business sup 0 0 84 Public administration and defense; compulsory social securit 1291 1262.563 85 Education 977 1035.162 86 Human health activities 392 396.994 87 Residential care activities 0 0 88 Social work activities without accommodation 0 0 90 Creative, arts and entertainment activities 92 94.261 91 Libraries, archives, museums and other cultural activities 0 0 92 Gambling and betting activities 0 0 93 Sports activities and amusement and recreation activities 0 0 94 Activities of membership organizations 328 301.852 95 Repair of computers and personal and household goods 0 0 96 Other personal service activities 0 0 97 Activities of households as employers of domestic personnel 24 27.046 98 Undifferentiated goods- and services-producing activities of 0 0 99 Activities of extraterritorial organizations and bodies 77 67.062 9998 Unspecified code 0 0 9999 Not stated 10 8.61 Sysmiss 38684 38980.112 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Sector of employment of the main job [Standardized version] Data Dictionary & Questionnaire/Codebook Employed individuals aged 7+ 11946 11649.145 38683 38979.855 Sector of employment (i.e. private versus public sector workers) in the main job. 1 Government 1853 1863.814 2 Public sector 0 0 3 Private sector 9773 9489.11 4 Joint/Cooperative 8 8.097 5 Foreign sector 22 19.962 6 Other 290 268.162 99 Not stated 0 0 Sysmiss 38683 38979.855 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Sector of employment of the main job [Detailed version] Data Dictionary & Questionnaire/Codebook Employed individuals aged 7+ 11946 11649.145 38683 38979.855 This variable distinguishes between different types of public and private sectors as well as other types of sectors (foreign, cooperative, etc.). 100 Government 0 0 110 Government- National 1661 1659.445 120 Government- Foreign 46 62.542 130 Government- Federal 0 0 140 Government- Local 146 141.827 200 Public sector 0 0 210 Economic institutions 0 0 300 Private sector 0 0 310 Private investment 0 0 320 Private- National 0 0 321 Private- National inside establishment 4968 4887.372 322 Private- National outside establishment 2747 2539.316 330 Private- Foreign 0 0 331 Private- Foreign inside establishment 847 850.012 332 Private- Foreign outside establishment 887 913.898 340 Private- Inside establishment 0 0 350 Private- Outside establishment 0 0 360 Private- Families 324 298.512 400 Joint/Cooperative 8 8.097 410 Joint 0 0 420 Cooperative 0 0 430 Joint local sector 0 0 500 Foreign sector 22 19.962 510 Diplomatic bodies 0 0 600 Others 0 0 610 Non-governmental organizations 0 0 620 Non-profit associations 0 0 630 Charitable associations 90 82.367 640 Outside establishment 0 0 650 Outside the country 0 0 660 UNRWA 200 185.796 999 Not stated 0 0 Sysmiss 38683 38979.855 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Total weekly working hours in the main job Data Dictionary & Questionnaire/Codebook Employed individuals aged 7+ 10315 10174.273 40314 40454.727 0 168 41.394 41.684 17.254 17.166 This variable reports the total number of hours the individual usually works during the week on his/her main job. Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Has a secondary job Data Dictionary & Questionnaire/Codebook Employed individuals aged 7+ 10315 10174.273 40314 40454.727 This variable should identify those who have a secondary job. 0 No 10003 9854.266 1 Yes 312 320.006 Sysmiss 40314 40454.727 Working in an establishment at the main job Data Dictionary & Questionnaire/Codebook Employed individuals aged 7+ 11946 38683 Working in an establishment at the main job 0 No 3772 1 Yes 8174 Sysmiss 38683 What was the age of (the name) at first marriage Data Dictionary & Questionnaire/Codebook Ever married individuals aged 14+ 21274 19748.406 29355 30880.594 12 65 22.029 21.969 4.66 4.725 What was the age of (the name) at first marriage? What is the relation of the name to the Husband/Wife Data Dictionary & Questionnaire/Codebook Ever married individuals aged 14+ 21274 19748.406 29355 30880.594 What is the relation of the name to the Husband/Wife? 1 Cousin (siblings of Fathers brothers) 2021 1927.854 2 Cousin (siblings of Fathers Sisters) 1105 1034.478 3 Cousin (siblings of mothers brothers) 976 882.073 4 Cousin (siblings of Mothers Sisters) 893 841.831 5 Cousin (siblings of fathers brother and mothers sister marri 312 326.54 6 same familia 3526 3332.971 7 no relationship 12441 11402.658 Sysmiss 29355 30880.594 What is the usual residence for the (name) wife/ husband before marriage Data Dictionary & Questionnaire/Codebook Ever married individuals aged 14+ 21274 19748.406 29355 30880.594 What is the usual residence for the (name) wife/ husband before marriage? 1 within the same locality 14073 13261.2 2 other locality in the same governorate 4467 4098.363 3 other governorate 2090 1724.596 4 abroad 588 612.708 5 1948 occupied territory 56 51.539 Sysmiss 29355 30880.594 Country Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9675 9675 0 0 275 275 A numeric variable representing the country and coded per the UN's Dec. 2012, country classification. 12 Algeria 0 0 48 Bahrain 0 0 262 Djibouti 0 0 275 Palestine 9675 9675 368 Iraq 0 0 400 Jordan 0 0 414 Kuwait 0 0 422 Lebanon 0 0 434 Libya 0 0 478 Mauritania 0 0 504 Morocco 0 0 512 Oman 0 0 634 Qatar 0 0 682 Saudi Arabia 0 0 729 Sudan 0 0 760 Syrian Arab Republic 0 0 784 United Arab Emirates 0 0 788 Tunisia 0 0 818 Egypt 0 0 887 Yemen 0 0 Survey year Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9675 9675 0 0 2018 2018 2018 2018 0 0.000197 Year during which the survey was performed. Unique household identifier Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9675 9675 0 0 6 199400000010 23376512134.318 6703788349.777 48588780834.833 27183937349.441 Sequential anonymous household identifier, usually provided in the dataset. Household panel identifier Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 7434 8993.062 2241 681.938 6 191839993856 33746868.086 11599886.451 2225638850.284 757604669.613 This variable should indicate the identifiers of paneled households only, either those observed across different rounds during the survey year or across two successive years, depending on the sampling design. Individual identifier Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9675 9675 0 0 Individual identification number (usually the individual line number in the household). 1 5045 4061.246 2 3345 3398.793 3 563 922.702 4 337 578.229 5 173 276.761 6 84 155.726 7 55 111.333 8 29 70.617 9 25 51.255 10 7 5.689 11 6 24.457 12 4 9.685 15 2 8.508 Individual panel identifier Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 7434 8993.062 2241 681.938 This variable contains the panel identification number of all surveyed individuals over more than one round during the survey year (or across two successive surveys). 1 3383 3404.263 2 2665 3118.467 3 406 630.639 4 355 625.512 5 248 405.466 6 140 262.695 7 98 208.27 8 49 113.525 9 43 83.958 10 15 41.096 11 9 21.083 12 8 21.85 13 7 23.325 14 2 7.89 15 2 10.042 17 1 3.93 19 1 5.482 20 1 4.818 26 1 0.752 Sysmiss 2241 681.938 In general, how do you describe your health condition Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9675 9675 0 0 In general, how do you describe your health condition 1 Very bad 306 318.966 2 Bad 881 902.089 3 Neither bad nor good 1065 1084.151 4 Good 4871 4858.917 5 Very good 2552 2510.876 To what extent are you satisfied with your life Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9675 9675 0 0 To what extent are you satisfied with your life 1 not satisfied at all 441 441.931 2 Dissatisfied 1276 1306.849 3 Somewhere in between 767 850.283 4 Satisfied 5930 5839.96 5 very satisfied 1261 1235.976 To what extent are you satisfied with your health Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9675 9675 0 0 To what extent are you satisfied with your health 1 not satisfied at all 148 163.866 2 Dissatisfied 821 878.718 3 Somewhere in between 553 585.714 4 Satisfied 6556 6456.265 5 very satisfied 1597 1590.436 During the past two weeks Can you focus on your work as usual Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9675 9675 0 0 During the past two weeks Can you focus on your work as usual 1 better than usual 2468 2463.742 2 No difference (as usual) 5117 5145.706 3 Worse than usual 1879 1868.945 4 Much worse than usual 211 196.607 During the past two weeks Do you find it difficult to sleep because you are nervous or preoccupied? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9675 9675 0 0 During the past two weeks Do you find it difficult to sleep because you are nervous or preoccupied? 1 No never 3009 2958.732 2 Not more than usual 3324 3332.118 3 More than usual 2604 2634.252 4 Much more than usual 738 749.897 During the past two weeks Do you feel you are playing a useful role toward the people around you? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9675 9675 0 0 During the past two weeks Do you feel you are playing a useful role toward the people around you? 1 better than usual 4269 4323.392 2 No difference (as usual) 4627 4594.62 3 Worse than usual 684 663.509 4 Much worse than usual 95 93.478 During the past two weeks Can you make decisions as usual Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9675 9675 0 0 During the past two weeks Can you make decisions as usual 1 better than usual 3434 3386.944 2 No difference (as usual) 5228 5273.622 3 Worse than usual 926 933.815 4 Much worse than usual 87 80.619 During the past two weeks Do you feel under continuous pressure Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9675 9675 0 0 During the past two weeks Do you feel under continuous pressure 1 No never 3118 3120.848 2 Not more than usual 3124 3087.305 3 More than usual 2633 2662.641 4 Much more than usual 800 804.206 During the past two weeks Do you feel capable of overcoming your problems Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9675 9675 0 0 During the past two weeks Do you feel capable of overcoming your problems 1 No never 3862 3806.611 2 Not more than usual 3728 3759.213 3 More than usual 1771 1796.223 4 Much more than usual 314 312.954 During the past two weeks Are you happy and satisfied with your accomplishment at work Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 During the past two weeks Are you happy and satisfied with your accomplishment at work 1 better than usual 4068 3991.725 2 No difference (as usual) 4823 4917.989 3 Worse than usual 684 656.684 4 Much worse than usual 99 108.122 Sysmiss 1 0.48 During the past two weeks Do you feel able to face your problems Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 During the past two weeks Do you feel able to face your problems 1 better than usual 3369 3414.953 2 No difference (as usual) 5100 5100.621 3 Worse than usual 1071 1028.542 4 Much worse than usual 134 130.404 Sysmiss 1 0.48 During the past two weeks Do you feel sad and that there is no way out Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 During the past two weeks Do you feel sad and that there is no way out 1 No never 3418 3404.122 2 Not more than usual 3838 3809.205 3 More than usual 1971 1977.966 4 Much more than usual 447 483.227 Sysmiss 1 0.48 During the past two weeks Have you lost your self-confidence Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 During the past two weeks Have you lost your self-confidence 1 No never 8217 8160.939 2 Not more than usual 938 964.396 3 More than usual 428 455.008 4 Much more than usual 91 94.177 Sysmiss 1 0.48 During the past two weeks Do you see yourself as a useless person Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 During the past two weeks Do you see yourself as a useless person 1 No never 8482 8448.546 2 Not more than usual 776 814.277 3 More than usual 355 351.187 4 Much more than usual 61 60.51 Sysmiss 1 0.48 During the past two weeks Are you able to feel happy notwithstanding the surrounding circumstances Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 During the past two weeks Are you able to feel happy notwithstanding the surrounding circumstances 1 better than usual 3144 3144.017 2 No difference (as usual) 5319 5321.102 3 Worse than usual 1054 1053.579 4 Much worse than usual 157 155.822 Sysmiss 1 0.48 Do you suffer physical pain? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 Do you suffer physical pain? 1 Never 4127 4109.439 2 A little 2129 2156.301 3 Moderately 1970 1907.652 4 Very much 1124 1166.259 5 An extreme amount 324 334.869 Sysmiss 1 0.48 To what extent do your family fear for your personal safety? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 To what extent do your family fear for your personal safety? 1 Never 1511 1503.66 2 A little 1194 1214.172 3 Moderately 1627 1666.772 4 Very much 3771 3697.596 5 An extreme amount 1571 1592.319 Sysmiss 1 0.48 To what extent are you able to receive medical treatment when you need it? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 To what extent are you able to receive medical treatment when you need it? 1 Never 399 399.974 2 A little 1512 1474.036 3 Moderately 3224 3184.832 4 Very much 3710 3694.313 5 An extreme amount 829 921.366 Sysmiss 1 0.48 To what extent do you feel physical safety in your daily life? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 To what extent do you feel physical safety in your daily life? 1 Never 565 583.08 2 A little 1422 1386.147 3 Moderately 2901 2899.49 4 Very much 3869 3852.855 5 An extreme amount 917 952.948 Sysmiss 1 0.48 To what extent do you feel psychological safety in your daily life? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 To what extent do you feel psychological safety in your daily life? 1 Never 590 610.017 2 A little 1606 1575.319 3 Moderately 3257 3248.785 4 Very much 3499 3475.208 5 An extreme amount 722 765.191 Sysmiss 1 0.48 To what extent do you fear for yourself in your daily life? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 To what extent do you fear for yourself in your daily life? 1 Never 2087 2150.267 2 A little 1737 1720.561 3 Moderately 2616 2667.117 4 Very much 2618 2528.484 5 An extreme amount 616 608.09 Sysmiss 1 0.48 To what extent do you fear for your family in your daily life? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 To what extent do you fear for your family in your daily life? 1 Never 614 636.833 2 A little 915 938.593 3 Moderately 1558 1627.602 4 Very much 4050 3965.141 5 An extreme amount 2537 2506.351 Sysmiss 1 0.48 To what extent do you feel worry/ fear not being able to provide your family with daily life necessities? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 To what extent do you feel worry/ fear not being able to provide your family with daily life necessities? 1 Never 2190 2180.831 2 A little 1430 1504.104 3 Moderately 1805 1916.515 4 Very much 2786 2662.381 5 An extreme amount 1463 1410.689 Sysmiss 1 0.48 To what extent do you feel worry/ fear of losing your source of income or your family’s source of income? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 To what extent do you feel worry/ fear of losing your source of income or your family’s source of income? 1 Never 2218 2224.03 2 A little 1363 1417.64 3 Moderately 1544 1631.652 4 Very much 2816 2728.599 5 An extreme amount 1733 1672.599 Sysmiss 1 0.48 To what extent do you feel worry/ fear losing your home? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 To what extent do you feel worry/ fear losing your home? 1 Never 4902 4951.505 2 A little 1192 1234.914 3 Moderately 1070 1112.053 4 Very much 1671 1588.99 5 An extreme amount 839 787.058 Sysmiss 1 0.48 To what extent do you feel worry/ fear losing your land? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 To what extent do you feel worry/ fear losing your land? 1 Never 6815 6765.207 2 A little 921 971.506 3 Moderately 628 634.196 4 Very much 876 890.181 5 An extreme amount 434 413.43 Sysmiss 1 0.48 To what extent do you feel worry/ fear about displacement and migration? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 To what extent do you feel worry/ fear about displacement and migration? 1 Never 5336 5372.044 2 A little 1233 1296.481 3 Moderately 1127 1121.725 4 Very much 1392 1343.649 5 An extreme amount 586 540.621 Sysmiss 1 0.48 To what extent do you feel worry/ fear about the chaos in the Palestinian society Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 To what extent do you feel worry/ fear about the chaos in the Palestinian society 1 Never 2159 2104.32 2 A little 1448 1519.034 3 Moderately 2013 2043.031 4 Very much 2721 2657.131 5 An extreme amount 1333 1351.003 Sysmiss 1 0.48 To what extent do you feel worry/ fear about your future and the future of your family Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 To what extent do you feel worry/ fear about your future and the future of your family 1 Never 933 937.772 2 A little 969 1014.576 3 Moderately 1590 1641.012 4 Very much 3762 3670.078 5 An extreme amount 2420 2411.083 Sysmiss 1 0.48 To what extent do you feel anxious Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 To what extent do you feel anxious 1 Never 2433 2398.932 2 Sometimes 4281 4240.443 3 Often 1634 1691.284 4 Always 1317 1335.837 9 I don't know 9 8.024 Sysmiss 1 0.48 How frustrated/ down did you feel Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 How frustrated/ down did you feel 1 Never 3956 3865.115 2 Sometimes 3777 3837.144 3 Often 1127 1143.808 4 Always 807 820.712 9 I don't know 7 7.741 Sysmiss 1 0.48 To what extent did you feel unable Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 To what extent did you feel unable 1 Never 4997 4910.965 2 Sometimes 3099 3165.239 3 Often 955 980.977 4 Always 610 601.767 9 I don't know 13 15.571 Sysmiss 1 0.48 To what extent did you feel humiliated Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 To what extent did you feel humiliated 1 Never 8001 7979.994 2 Sometimes 1286 1321.967 3 Often 229 221.953 4 Always 143 132.031 9 I don't know 15 18.575 Sysmiss 1 0.48 To what extent did you feel lonely Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 To what extent did you feel lonely 1 Never 6186 6174.799 2 Sometimes 2572 2598.539 3 Often 525 527.086 4 Always 380 363.378 9 I don't know 11 10.718 Sysmiss 1 0.48 To what extent did you feel worried Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 To what extent did you feel worried 1 Never 2131 2104.313 2 Sometimes 4879 4826.105 3 Often 1624 1700.535 4 Always 1030 1033.66 9 I don't know 10 9.908 Sysmiss 1 0.48 To what extent did you feel grief Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 To what extent did you feel grief 1 Never 2816 2738.15 2 Sometimes 5066 5103.114 3 Often 1134 1162.952 4 Always 647 649.941 9 I don't know 11 20.363 Sysmiss 1 0.48 To what extent did you feel angry Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 To what extent did you feel angry 1 Never 2015 2000.448 2 Sometimes 5178 5178.912 3 Often 1590 1618.569 4 Always 876 862.241 9 I don't know 15 14.35 Sysmiss 1 0.48 To what extend did you feel board and fed up of life Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 To what extend did you feel board and fed up of life 1 Never 5203 5113.356 2 Sometimes 2834 2900.328 3 Often 844 860.237 4 Always 759 768.26 9 I don't know 34 32.339 Sysmiss 1 0.48 To what extent did you feel unable to control important things in your life Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 To what extent did you feel unable to control important things in your life 1 Never 3742 3725.123 2 Sometimes 4661 4645.573 3 Often 888 927.513 4 Always 345 332.95 9 I don't know 38 43.361 Sysmiss 1 0.48 To what extent did you feel unable to cope with the things that you had to do Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 To what extent did you feel unable to cope with the things that you had to do 1 Never 3603 3547.75 2 Sometimes 4895 4905.022 3 Often 869 912.733 4 Always 272 271.361 9 I don't know 35 37.653 Sysmiss 1 0.48 To what extent did you feel unable to perform your daily activities Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 To what extent did you feel unable to perform your daily activities 1 Never 3053 3017.835 2 Sometimes 5196 5175.039 3 Often 1027 1048.327 4 Always 376 409.313 9 I don't know 22 24.007 Sysmiss 1 0.48 During the past two weeks Do you feel deprived Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 During the past two weeks Do you feel deprived 1 Never 5865 5874.653 2 A little 972 1012.499 3 Moderately 1119 1120.122 4 Very much 1122 1111.374 5 An extreme amount 596 555.872 Sysmiss 1 0.48 To what extent do you feel material deprivation (money, food, house)? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 3809 3799.867 5866 5875.133 To what extent do you feel material deprivation (money, food, house)? 1 Never 316 348.571 2 A little 617 657.596 3 Moderately 852 865.128 4 Very much 1213 1159.375 5 An extreme amount 811 769.197 Sysmiss 5866 5875.133 To what extent do you feel deprived because there is no work for you? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 3809 3799.867 5866 5875.133 To what extent do you feel deprived because there is no work for you? 1 Never 1147 1141.71 2 A little 524 557.507 3 Moderately 584 624.031 4 Very much 979 919.863 5 An extreme amount 575 556.756 Sysmiss 5866 5875.133 To what extent do you feel deprived because of your inability to enroll in university education? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 3809 3799.867 5866 5875.133 To what extent do you feel deprived because of your inability to enroll in university education? 1 Never 1720 1643.212 2 A little 492 520.243 3 Moderately 472 496.091 4 Very much 768 778.746 5 An extreme amount 357 361.576 Sysmiss 5866 5875.133 To what extent do you feel deprived because of your inability to move from one place to another from the Gaza Strip to the West Bank and contrary? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 3809 3799.867 5866 5875.133 To what extent do you feel deprived because of your inability to move from one place to another from the Gaza Strip to the West Bank and contrary? 1 Never 1272 1340.897 2 A little 500 502.403 3 Moderately 669 669.731 4 Very much 933 878.437 5 An extreme amount 435 408.4 Sysmiss 5866 5875.133 To what extent do you feel deprived because of your inability to travel outside Palestine? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 3809 3799.867 5866 5875.133 To what extent do you feel deprived because of your inability to travel outside Palestine? 1 Never 1193 1274.569 2 A little 516 501.485 3 Moderately 606 618.221 4 Very much 983 927.061 5 An extreme amount 511 478.532 Sysmiss 5866 5875.133 To what extent do you feel deprived because of your inability to move inside the Gaza Strip/ West Bank? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 3809 3799.867 5866 5875.133 To what extent do you feel deprived because of your inability to move inside the Gaza Strip/ West Bank? 1 Never 1584 1668.856 2 A little 661 666.089 3 Moderately 713 686.582 4 Very much 655 598.09 5 An extreme amount 196 180.251 Sysmiss 5866 5875.133 To what extent do you feel deprived because of the Palestinian split? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 3809 3799.867 5866 5875.133 To what extent do you feel deprived because of the Palestinian split? 1 Never 656 705.35 2 A little 497 491.007 3 Moderately 812 886.831 4 Very much 1163 1098.799 5 An extreme amount 681 617.88 Sysmiss 5866 5875.133 To what extent do you feel deprived because of the conservative nature of the society and constraints on personal freedom? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 3809 3799.867 5866 5875.133 To what extent do you feel deprived because of the occupation? 1 Never 262 280.444 2 A little 343 355.221 3 Moderately 646 700.364 4 Very much 1462 1404.591 5 An extreme amount 1096 1059.246 Sysmiss 5866 5875.133 To what extent do you feel deprived because of the conservative nature of the so Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 3809 3799.867 5866 5875.133 To what extent do you feel deprived because of the conservative nature of the society and constraints on personal freedom? 1 Never 1282 1238.807 2 A little 840 835.228 3 Moderately 1061 1079.154 4 Very much 450 465.839 5 An extreme amount 176 180.839 Sysmiss 5866 5875.133 Is suffering part of your life Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 Is suffering part of your life 1 Never 5045 4994.273 2 Yes A little 1446 1521.552 3 Yes Moderately 1566 1591.353 4 Yes pretty much 1617 1567.342 Sysmiss 1 0.48 To what extent do the Results of 2014 aggression constitute a reason of suffering and part of your life? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 4629 4680.247 5046 4994.753 To what extent do the Results of 2014 aggression constitute a reason of suffering and part of your life? 0 1319 1438.566 1 94 94.575 2 139 147.175 3 225 251.824 4 141 135.093 5 346 342.475 6 257 255.274 7 336 310.082 8 350 343.314 9 231 224.548 10 1191 1137.32 Sysmiss 5046 4994.753 To what extent do the Occupation in general constitute a reason of suffering and Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 4629 4680.247 5046 4994.753 To what extent do the Occupation in general constitute a reason of suffering and part of your life? 0 330 387.386 1 92 95.841 2 122 117.762 3 129 145.644 4 81 86.055 5 245 266.302 6 219 232.557 7 273 269.137 8 411 432.431 9 369 362.707 10 2358 2284.424 Sysmiss 5046 4994.753 To what extent do the Siege constitute a reason of suffering and part of your life? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 4629 4680.247 5046 4994.753 To what extent do the Siege constitute a reason of suffering and part of your life? 0 626 684.885 1 83 77.645 2 126 132.882 3 119 129.172 4 85 97.029 5 214 240.947 6 191 204.526 7 257 299.885 8 331 312.025 9 282 280.041 10 2315 2221.209 Sysmiss 5046 4994.753 To what extent do the Palestinian split constitute a reason of suffering and part of your life? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 4629 4680.247 5046 4994.753 To what extent do the Palestinian split constitute a reason of suffering and part of your life? 0 509 550.802 1 100 110.751 2 132 140.283 3 155 170.4 4 93 101.801 5 229 242.313 6 227 241.307 7 279 312.056 8 348 342.216 9 277 274.069 10 2280 2194.25 Sysmiss 5046 4994.753 To what extent do the Nepotism/ favoritism constitute a reason of suffering and part of your life? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 4629 4680.247 5046 4994.753 To what extent do the Nepotism/ favoritism constitute a reason of suffering and part of your life? 0 473 474.561 1 65 71.466 2 140 145.609 3 190 194.427 4 91 96.002 5 269 290.202 6 213 198.571 7 366 367.878 8 448 436.529 9 387 416.024 10 1987 1988.976 Sysmiss 5046 4994.753 To what extent do the Palestinian social restrictions constitute a reason of suffering and part of your life? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 4629 4680.247 5046 4994.753 To what extent do the Palestinian social restrictions constitute a reason of suffering and part of your life? 0 1397 1372.78 1 193 186.994 2 269 271.93 3 347 356.235 4 223 245.521 5 561 553.354 6 346 367.275 7 384 374.645 8 290 298.708 9 130 150.128 10 489 502.677 Sysmiss 5046 4994.753 To what extent do the Global policies toward Palestine constitute a reason of suffering and part of your life? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 4629 4680.247 5046 4994.753 To what extent do the Global policies toward Palestine constitute a reason of suffering and part of your life? 0 816 868.496 1 103 112.564 2 197 214.282 3 249 251.952 4 146 153.022 5 351 353.681 6 312 321.145 7 397 381.176 8 478 488.588 9 258 249.597 10 1322 1285.743 Sysmiss 5046 4994.753 To what extent do the Others constitute a reason of suffering and part of your life? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 4629 4680.247 5046 4994.753 To what extent do the Others constitute a reason of suffering and part of your life? 0 4423 4443.911 1 3 4.429 2 5 4.715 3 7 9.693 4 2 1.302 5 8 11.998 6 5 5.096 7 9 8.083 8 17 14.78 9 21 21.144 10 129 155.094 Sysmiss 5046 4994.753 When you face a problem, who do you ask for help or solution to the problem Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 When you face a problem, who do you ask for help or solution to the problem 1 I solve it on my own and do not ask for anybody's help 3876 3683.187 2 Family member 4849 5122.373 3 Friend 340 358.797 4 Relatives 554 450.774 5 Party comrades 2 1.922 6 Talk to a specialist (doctor, nurse, counsel, etc) 3 3.349 7 Ignore the problem and don't do anything 24 23.499 8 I cannot handle the problem because I am frustrated 19 25.538 9 Other/ specify 7 5.081 Sysmiss 1 0.48 Have you ever thought of immigrating outside the Gaza Strip/ West Bank during this period? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 Have you ever thought of immigrating outside the Gaza Strip/ West Bank during this period? 1 Yes 1334 1250.627 2 No 8340 8423.893 Sysmiss 1 0.48 Is the siege pushed you to consider immigrating Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1334 1250.627 8341 8424.373 Is the siege pushed you to consider immigrating 1 Yes 1060 965.649 2 No 274 284.978 Sysmiss 8341 8424.373 Is the Palestinian split pushed you to consider immigrating Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1334 1250.627 8341 8424.373 Is the Palestinian split pushed you to consider immigrating 1 Yes 1048 955.478 2 No 286 295.15 Sysmiss 8341 8424.373 Is the Bad economic condition (in general) pushed you to consider immigrating Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1334 1250.627 8341 8424.373 Is the Bad economic condition (in general) pushed you to consider immigrating 1 Yes 1275 1187.915 2 No 59 62.712 Sysmiss 8341 8424.373 Is the improve the economic situation pushed you to consider immigrating Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1334 1250.627 8341 8424.373 Is the improve the economic situation pushed you to consider immigrating 1 Yes 1272 1183.392 2 No 62 67.235 Sysmiss 8341 8424.373 Is the 2014 aggression pushed you to consider immigrating Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1334 1250.627 8341 8424.373 Is the 2014 aggression pushed you to consider immigrating 1 Yes 666 585.397 2 No 668 665.23 Sysmiss 8341 8424.373 Is the Political situation in general pushed you to consider immigrating Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1334 1250.627 8341 8424.373 Is the Political situation in general pushed you to consider immigrating 1 Yes 1061 973.124 2 No 273 277.504 Sysmiss 8341 8424.373 Is the Lack of feeling of security pushed you to consider immigrating Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1334 1250.627 8341 8424.373 Is the Lack of feeling of security pushed you to consider immigrating 1 Yes 969 861.061 2 No 365 389.566 Sysmiss 8341 8424.373 Is the Dissatisfaction with the quality of life in gaza/West Bank Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1334 1250.627 8341 8424.373 Is the Dissatisfaction with the quality of life in gaza/West Bank 1 Yes 1046 934.119 2 No 288 316.509 Sysmiss 8341 8424.373 Is the Fear for the family pushed you to consider immigrating Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1334 1250.627 8341 8424.373 Is the Fear for the family pushed you to consider immigrating 1 Yes 1013 878.263 2 No 321 372.364 Sysmiss 8341 8424.373 Is the Lack of good education opportunities pushed you to consider immigrating Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1334 1250.627 8341 8424.373 Is the Lack of good education opportunities pushed you to consider immigrating 1 Yes 505 464.849 2 No 829 785.778 Sysmiss 8341 8424.373 Is the Other pushed you to consider immigrating Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1334 1250.627 8341 8424.373 Is the Other pushed you to consider immigrating 1 Yes 32 34.193 2 No 1302 1216.435 Sysmiss 8341 8424.373 Have you started serious immigration procedures (submission of visa application, contacting embassy, communicating with relatives or friends abroad? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1334 1250.627 8341 8424.373 If you have considered immigrating outside the gaza Strip/ West Bank, have you started serious immigration procedures (submission of visa application, contacting embassy, communicating with relatives or friends abroad? 1 Yes 278 258.451 2 No 1056 992.176 Sysmiss 8341 8424.373 Feeling worried about the lack of enough food to eat because of lack of money or provide other sources Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 Feeling worried about the lack of enough food to eat because of lack of money or provide other sources 1 Yes 3459 3411.778 2 No 6215 6262.742 Sysmiss 1 0.48 The inability to eat healthy and nutritious food because of lack of money or other sources Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 The inability to eat healthy and nutritious food because of lack of money or other sources 1 Yes 3148 3079.349 2 No 6526 6595.171 Sysmiss 1 0.48 Eat a few kinds foods because of lack of money or other sources Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 Eat a few kinds foods because of lack of money or other sources 1 Yes 3000 2922.661 2 No 6674 6751.859 Sysmiss 1 0.48 Give up a meal because there was not enough money or other resources to get food Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 Give up a meal because there was not enough money or other resources to get food 1 Yes 2286 2228.347 2 No 7388 7446.173 Sysmiss 1 0.48 Eating less than you thought you should because of a lack of money or other reso Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 Eating less than you thought you should because of a lack of money or other resources 1 Yes 2315 2241.76 2 No 7359 7432.76 Sysmiss 1 0.48 The food ran out on household because of a lack of money or other resources Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 The food ran out on household because of a lack of money or other resources 1 Yes 1670 1658.9 2 No 8004 8015.62 Sysmiss 1 0.48 Hunger with no eating because there was not enough money or other resources for food Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 Hunger with no eating because there was not enough money or other resources for food 1 Yes 998 985.899 2 No 8676 8688.621 Sysmiss 1 0.48 Do not eat for a whole day because of a lack of money or other sources Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 Do not eat for a whole day because of a lack of money or other sources 1 Yes 611 608.039 2 No 9063 9066.48 Sysmiss 1 0.48 In the past two weeks You was happy with a good mood Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 In the past two weeks You was happy with a good mood 0 Absolutely 939 958.54 1 A little of time (rarely) 2265 2302.156 2 Slightly less than half the time 2441 2436.538 3 More than half of the time 2387 2384.396 4 More often 1271 1224.921 5 Always 371 367.969 Sysmiss 1 0.48 In the past two weeks You was feeling calm and relaxed Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 In the past two weeks You was feeling calm and relaxed 0 Absolutely 1012 1016.626 1 A little of time (rarely) 2399 2446.263 2 Slightly less than half the time 2443 2436.776 3 More than half of the time 2227 2207.975 4 More often 1247 1226.446 5 Always 346 340.434 Sysmiss 1 0.48 In the past two weeks You was feeling energetic Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 In the past two weeks You was feeling energetic 0 Absolutely 780 797.062 1 A little of time (rarely) 2120 2114.394 2 Slightly less than half the time 2438 2458.445 3 More than half of the time 2481 2483.626 4 More often 1436 1397.448 5 Always 419 423.546 Sysmiss 1 0.48 In the past two weeks You woke up active and relaxed Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 In the past two weeks You woke up active and relaxed 0 Absolutely 795 794.88 1 A little of time (rarely) 2072 2107.358 2 Slightly less than half the time 2300 2253.584 3 More than half of the time 2456 2517.366 4 More often 1512 1438.866 5 Always 539 562.467 Sysmiss 1 0.48 In the past two weeks Your days were full of things you liked Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 In the past two weeks Your days were full of things you liked 0 Absolutely 1220 1160.77 1 A little of time (rarely) 2394 2465.908 2 Slightly less than half the time 2357 2349.14 3 More than half of the time 2214 2212.774 4 More often 1156 1143.536 5 Always 333 342.393 Sysmiss 1 0.48 During the past 12 months, was there a need for healthy treatment for any household members? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 During the past 12 months, was there a need for healthy treatment for any household members? 1 Yes 6466 6425.372 2 No 3208 3249.148 Sysmiss 1 0.48 Has the needed treatment been received Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 6466 6425.372 3209 3249.628 Has the needed treatment been received? 1 Yes 5803 5754.746 2 No 663 670.626 Sysmiss 3209 3249.628 What is the main provider of these services Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 5803 5754.746 3872 3920.254 What is the main provider of these services 1 PNA institutions 2316 2351.154 2 Political parties/ factions 1237 1183.774 3 International/ development agency 2075 1973.062 4 UNRWA 145 217.889 5 Arab or foreign states 30 28.868 6 Religious associations 0 0 7 Civil society organizations 0 0 8 Private sector 0 0 9 Israel 0 0 10 Other/ specify 0 0 Sysmiss 3872 3920.254 What is the Level of satisfaction with services Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 5803 5754.746 3872 3920.254 What is the Level of satisfaction with services? 1 very satisfied 679 704.903 2 Satisfied 4256 4152.06 3 dissatisfied 718 729.602 4 very dissatisfied 131 150.846 9 I don't know 19 17.334 Sysmiss 3872 3920.254 What is the Main reason behind dissatisfaction with services Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 849 880.448 8826 8794.552 What is the Main reason behind dissatisfaction with services? 1 quantity of service 70 73.286 2 quality of service 214 214.26 3 quantity and quality 532 559.731 4 other/ specify 27 28.199 9 I don't know 6 4.972 Sysmiss 8826 8794.552 There was difficulty in accessing service Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 5803 5754.746 3872 3920.254 There was difficulty in accessing service 1 Yes 1280 1254.326 2 No 4486 4456.85 9 I don't know 37 43.569 Sysmiss 3872 3920.254 Expenses for healthcare/ treatment services were affordable to household Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 5803 5754.746 3872 3920.254 Expenses for healthcare/ treatment services were affordable to household 1 Yes 4223 4097.532 2 No 1514 1575.159 9 I don't know 66 82.054 Sysmiss 3872 3920.254 The healthcare facilities were clean and in good condition Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 5803 5754.746 3872 3920.254 The healthcare facilities were clean and in good condition 1 Yes 5223 5147.215 2 No 498 523.959 9 I don't know 82 83.572 Sysmiss 3872 3920.254 Treatment recipients were treated with respect Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 5803 5754.746 3872 3920.254 Treatment recipients were treated with respect 1 Yes 5394 5339.266 2 No 371 370.542 9 I don't know 38 44.938 Sysmiss 3872 3920.254 The doctor/nurse spent enough time with Treatment recipients during the consultation Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 5803 5754.746 3872 3920.254 The doctor/nurse spent enough time with Treatment recipients during the consultation 1 Yes 5074 4996.263 2 No 673 691.015 9 I don't know 56 67.468 Sysmiss 3872 3920.254 What was the main reason for not having the needed treatment Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 663 670.626 9012 9004.374 What was the main reason for not having the needed treatment 1 Could not afford to (too expensive) 476 462.859 2 Long waiting list 41 47.118 3 Could not take time because of work, care for children or fo 2 3.858 4 Too far to travel or no means of transportation to get there 0 0 5 Don't trust medical doctors and healthcare personnel 24 30.694 6 Wanted to wait and see if problem got better on its own 13 12.929 7 Didn't know any good medical doctor 8 11.451 8 Healthcare facilities are not clean 1 0.93 9 Healthcare facilities are not adequately equipped or lack me 76 78.583 10 Other reasons / specify 22 22.204 Sysmiss 9012 9004.374 Do all of these children attend to Primary school Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 4796 5802.189 4879 3872.811 Do all of these children attend to Primary school 1 Yes 4221 5008.307 2 No 575 793.882 Sysmiss 4879 3872.811 What is the supervisory authority of the school Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 4221 5008.307 5454 4666.693 What is the supervisory authority of the school 1 the government 2604 3150.632 2 UNRWA 1328 1484.366 3 Private sector 193 221.249 4 Israel 82 137.765 5 Other/ specify 14 14.296 Sysmiss 5454 4666.693 What is the level of satisfaction with the educational services provided by the school Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 4221 5008.307 5454 4666.693 What is the level of satisfaction with the educational services provided by the school 1 very satisfied 753 929.504 2 Satisfied 3028 3555.171 3 dissatisfied 339 390.03 4 very dissatisfied 57 73.07 9 I don't know 44 60.532 Sysmiss 5454 4666.693 What is the main reason for behind dissatisfaction with the provision of educati Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 396 463.1 9279 9211.9 What is the main reason for behind dissatisfaction with the provision of educational services 1 quantity of service 19 23.17 2 quality of service 134 148.962 3 quantity and quality 227 275.173 4 other/ specify 13 13.698 9 I don't know 3 2.097 Sysmiss 9279 9211.9 The school can be reached from home without difficulties Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 4221 5008.307 5454 4666.693 The school can be reached from home without difficulties 1 Yes 3677 4384.227 2 No 514 590.174 9 I don't know 30 33.906 Sysmiss 5454 4666.693 School-related expenses are affordable Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 4221 5008.307 5454 4666.693 School-related expenses are affordable 1 Yes 3883 4621.439 2 No 302 347.291 9 I don't know 36 39.577 Sysmiss 5454 4666.693 The school provides a safe learning environment Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 4221 5008.307 5454 4666.693 The school provides a safe learning environment 1 Yes 3857 4569.229 2 No 285 343.165 9 I don't know 79 95.914 Sysmiss 5454 4666.693 Children are treated with respect by teachers and other school staff Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 4221 5008.307 5454 4666.693 Children are treated with respect by teachers and other school staff 1 Yes 3827 4534.742 2 No 272 319.692 9 I don't know 122 153.873 Sysmiss 5454 4666.693 Children are acquiring knowledge and skills Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 4221 5008.307 5454 4666.693 Children are acquiring knowledge and skills 1 Yes 3761 4460.564 2 No 331 389.132 9 I don't know 129 158.611 Sysmiss 5454 4666.693 What is the main reason for household children not attend to school Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 575 793.882 9100 8881.118 What is the main reason for household children not attend to school 1 High cost (books, clothing, transportation, ......) 3 3.23 2 The school is far away or there is no transportation.. 8 10.678 3 School facilities are in poor condition 0 0 4 School facilities are not safe 0 0 5 Teachers and other school staff do not treat children with r 0 0 6 Children do not learn much. 5 8.067 7 Children need to stay home to help with housework/farm work 5 7.17 8 Teachers are often absent 1 1.806 9 Children do not like the school. 17 28.49 10 Children were intimidated / terrorized / harassed 2 1.574 11 Other reasons / specify……… 534 732.867 Sysmiss 9100 8881.118 What is the main reason for household children not attend to school Other/ specify Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 534 732.867 0 0 What is the main reason for household children not attend to school Other/ specify Age 4 1.942 Age does not apply 2 2.819 Age is greater than primary 1 0.362 Age more than the primary stage 1 0.56 Age range does not apply 2 2.4 Basic education is not available 1 1.105 Because of the young age 1 0.606 Because they are not studying 1 0.832 Bigger than basic grade 1 0.963 Born next year 2013 school 1 0.871 Child enrolled in kindergarten 4 5.038 Child in kindergarten stage 1 1.353 Children are bigger than 1 2.677 Children are currently enrolled in kindergarten and next year school 1 0.799 Children are enrolled in kindergartens 1 1.31 Children are not in school 1 0.941 Children are the primary stage 1 1.685 Children are young 1 0.862 Children have not yet reached school age 1 3.27 Children have not yet reached the legal age 1 1.057 Children in high school 2 2.06 Children in kindergarten 2 2.651 Children in kindergarten and secondary 1 1.067 Children in secondary education 1 1.373 Children of kindergarten 1 0.253 Children older than basic education 1 2.003 Children over the age of education for basic 1 2.23 Children to Jesus at school 1 0.941 Children under regular age 1 1.093 Did not reach the basic series 1 0.959 Disability 1 1.134 Education kindergarten 1 0.939 Enrolled in basic education 1 1.586 Family members have gone beyond basic education 1 1.006 Father doesn't want to teach kids 1 0.336 Filial Children 1 1.195 In secondary school are enrolled 1 1.106 In the family there are no children of primary school age 1 0.978 Individuals have completed basic education 1 0.707 Junior 1 0.305 Kindergarten 3 4.066 Kindergarten children 1 0.911 Kindergarten does not apply 1 1.777 Lack of age group 2 3.82 Lack of children 1 1.924 Lack of children with secondary education 1 1.392 No basic found 1 1.924 No children in this category 1 1.064 No one is educated 1 1.804 No one is enrolled 1 0.392 No one joined this stage 2 2.468 No one joins this stage 1 1.311 No. There are children in the primary stage 1 0.928 None of this category 1 0.189 Not applicable 1 0.785 Not attending school 2 2.968 Old age 4 6.232 Outside the category 2 4.844 Patient not enrolled in education 1 0.597 Persons are greater than personal education 1 1 Preparatory students 1 1.064 Secondary school children 1 3.014 Skip the basic stage 3 6.243 Skip this stage 2 4.608 Small children 1 0.912 Small family members 1 0.569 Son in basic education 1 0.978 Son in secondary education 1 0.591 The absence of children in school 1 2.223 The age of children is greater than primary 1 0.933 The age of children is less than school age 1 0.945 The basic stage 1 1.21 The boys are senior at the secondary and university levels 1 0.289 The child has a disability 1 0.52 The child in kindergarten 2 1.305 The child is still in the orchard 1 1.183 The children passed the basic stage 1 1.121 The family did not receive treatment 1 0.742 The girl is studying in tenth and there are no those in the basic stage 1 0.311 The head of the family is patient 1 0.784 The required stage does not have 2 2.651 The stage ends and the boys grow up 1 0.759 The wife received treatment 1 0.94 Their ages are small 2 2.544 Their young age 2 1.756 There are in kindergarten and middle school 1 0.584 There are no ages in primary education 1 1.028 There are no children at this stage 1 1.43 There are no children for this stage 1 1.106 There are no children in basic education 2 1.587 There are no children in schools 1 2.267 There are no children in the basic stage 4 9.256 There are no children in this category 1 2.037 There are no children of primary school age 1 5.124 There are no individuals enrolled in basic education 1 1.518 There are no individuals enrolled in schools 1 1.209 There are no individuals in the basic stage 1 1.07 There are no individuals of primary school age or enrolled in primary schools 1 0.864 There are no individuals within the basic stage 1 0.319 There are no members of the basic education age group 1 1.366 There are no primary children 28 38.553 There are no primary school children 1 0.758 There are no primary school students 1 2.289 There are no school students 190 271.075 There are no students 1 2.251 There are no students at this stage 1 1.442 There is a girl who did not enter school because she is a movable girl 1 1.418 There is basically no age group 1 0.901 There is no 8 10.172 There is no age group 6 6.684 There is no age group in basic education 2 1.312 There is no age group with basic education 2 1.77 There is no age in the basic stage 1 2 There is no basic education 1 1.084 There is no coating at the secondary level 1 0.811 There is no cure 1 0.961 There is no family in this category 8 11.387 There is no individual at this stage 1 0.54 There is no one at this stage 1 0.887 There is no one in basic education 1 0.84 There is no one within the age of secondary education 1 1.298 There is no primary age group 1 2.639 There is no such category 1 1.57 There is no. Students. Basic 2 1.078 They did not complete school leaving school 1 1.519 They did not reach the basic stage 1 0.757 They have no children 1 0.744 What is the age of primary school 1 2.959 Willingness to work for income 1 0.936 Young age 4 3.512 Young children 4 5.684 Young children did not attend school 1 0.958 Younger than school age 1 0.997 Youngest individual in row 11 1 2.712 do not apply 111 168.181 here are no students at this stage 1 0.776 in high school 1 0.89 tenagers 1 0.359 there is nobody 1 0.928 اعمارهم اكبر من التعليم الاساسي 1 0.81 صغر السن 1 1.094 لا يوجد 1 0.417 لا يوجد أطفال في المرحلة الأساسية 1 1.044 لا يوجد اطفال في التعليم الاساسي 2 3.439 لا يوجد ضمن هذه الفئة 1 0.951 لا يوجد فئة عمرية 1 0.842 لايوجد 1 1.064 لايوجد مراحل اساسية 1 1.778 لانهم لم يبلغوا سن التعليم الاساسي 1 1.073 Do all of these children attend to Secondary school Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 4796 5802.189 4879 3872.811 Do all of these children attend to Secondary school 1 Yes 1984 2398.067 2 No 2812 3404.122 Sysmiss 4879 3872.811 What is the supervisory authority of the school Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1984 2398.067 7691 7276.933 What is the supervisory authority of the school 1 the government 1876 2254.755 2 UNRWA 5 5.537 3 Private sector 50 60.159 4 Israel 48 72.157 5 Other/ specify 5 5.459 Sysmiss 7691 7276.933 What is the level of satisfaction with the educational services provided by the school Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1984 2398.067 7691 7276.933 What is the level of satisfaction with the educational services provided by the school 1 very satisfied 373 473.251 2 Satisfied 1418 1691.577 3 dissatisfied 149 167.244 4 very dissatisfied 23 33.909 9 I don't know 21 32.086 Sysmiss 7691 7276.933 What is the main reason for behind dissatisfaction with the provision of educational services Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 172 201.153 9503 9473.847 What is the main reason for behind dissatisfaction with the provision of educational services 1 quantity of service 7 12.691 2 quality of service 66 73.066 3 quantity and quality 97 113.547 4 other/ specify 2 1.849 9 I don't know 0 0 Sysmiss 9503 9473.847 What is the main reason for behind dissatisfaction with the provision of educati Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 2 1.849 0 0 What is the main reason for behind dissatisfaction with the provision of educational services Other/ specify Teachers are cruel 1 0.66 The absence of umbrellas in the yard 1 1.189 The school can be reached from home without difficulties Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1984 2398.067 7691 7276.933 The school can be reached from home without difficulties 1 Yes 1746 2113.142 2 No 224 266.293 9 I don't know 14 18.632 Sysmiss 7691 7276.933 School-related expenses are affordable Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1984 2398.067 7691 7276.933 School-related expenses are affordable 1 Yes 1780 2155.972 2 No 185 214.883 9 I don't know 19 27.212 Sysmiss 7691 7276.933 The school provides a safe learning environment Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1984 2398.067 7691 7276.933 The school provides a safe learning environment 1 Yes 1824 2205.396 2 No 119 135.164 9 I don't know 41 57.507 Sysmiss 7691 7276.933 Children are treated with respect by teachers and other school staff Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1984 2398.067 7691 7276.933 Children are treated with respect by teachers and other school staff 1 Yes 1829 2204.734 2 No 96 115.815 9 I don't know 59 77.518 Sysmiss 7691 7276.933 Children are acquiring knowledge and skills Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1984 2398.067 7691 7276.933 Children are acquiring knowledge and skills 1 Yes 1768 2134.415 2 No 158 185.764 9 I don't know 58 77.888 Sysmiss 7691 7276.933 What is the main reason for household children not attend to school Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 2812 3404.122 6863 6270.878 What is the main reason for household children not attend to school 1 High cost (books, clothing, transportation, ......) 15 16.656 2 The school is far away or there is no transportation.. 9 12.971 3 School facilities are in poor condition 1 1.343 4 School facilities are not safe 2 1.65 5 Teachers and other school staff do not treat children with r 0 0 6 Children do not learn much. 16 24.926 7 Children need to stay home to help with housework/farm work 13 19.163 8 Teachers are often absent 0 0 9 Children do not like the school. 41 55.641 10 Children were intimidated / terrorized / harassed 3 3.906 11 Other reasons / specify……… 2712 3267.866 Sysmiss 6863 6270.878 What is the main reason for household children not attend to schoolOther/ specify Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 2712 3267.866 0 0 What is the main reason for household children not attend to schoolOther/ specify 0 1 0.883 Aden and the arrival of children to the secondary stage 1 0.875 After them the basic stage 1 0.907 Agam enrollment. One at this point 1 1.039 Age 3 1.117 Age does not allow 1 0.883 Age for children less than secondary 3 2.33 Age group below secondary level 1 0.997 Age group without secondary 1 0.763 Age is not allowed to enter school 1 0.945 Age is not allowed to have children 1 0.331 Age is not secondary 1 1.049 Age is not suitable for high school 1 0.879 Age is primary 1 1.158 Age less than secondary 2 3.405 Age less than secondary age 1 1.1 Age of children below the age required for secondary education 1 1.059 Age of children in the navel is younger than the age of secondary school 1 1.1 Age range does not exist 1 2.313 All members of the family have completed their secondary education 1 1.54 All students in the university 1 0.215 Altkl is enrolled in kindergarten 1 1.542 Anho high school children 1 0.707 Applicable 1 0.836 At a basic school 1 0.451 Basic education schools 1 1.72 Basic stage students 1 1.352 Because children are below the secondary level 1 1.039 Because in the basic stage 1 0.744 Because it is children in basic education 1 0.704 Because of disability 1 0.879 Because of physical disability 1 0.587 Because of the Israeli measures 1 1.995 Because of the young age 1 0.606 Because there is no age in secondary 1 1.349 Because they are still in the basic stage 1 1.47 Been to finish high school 1 1.599 Boys are young at the primary level and there is no one at the secondary level 1 1.153 Category does not exist 1 1.343 Child enrolled in kindergarten 1 1.562 Child in kindergarten stage 1 1.353 Children 3 2.851 Children Bnner primary 1 1.754 Children Elementary 1 1.138 Children and family education is currently basic 1 1.029 Children are currently enrolled in basic education 1 0.286 Children are enrolled in basic education 1 0.936 Children are enrolled in kindergartens 1 1.31 Children are junior and elementary 1 1.045 Children are not at this stage 1 1.052 Children are not in school 1 0.941 Children are still elementary and middle school 1 1.182 Children are still in primary and middle school 1 1.178 Children are still young 1 3.155 Children are young 18 17.467 Children are young with primary 2 1.916 Children did not reach secondary school age 1 0.876 Children elementary and junior high 1 0.823 Children graduated from this stage 1 0.569 Children have completed secondary education and some are in basic education 1 1.525 Children have not reached secondary school yet 1 1.344 Children in basic education 13 13.868 Children in basic stage 2 2.345 Children in primary school 2 1.344 Children in secondary education 1 1.02 Children in the basic stage 12 12.011 Children in the family are younger than secondary school students 1 1.482 Children of primary age 2 1.757 Children older than secondary age 1 2.003 Children over the age of secondary education 1 2.23 Children under education. Secondary 1 0.993 Children under eighth grade 1 1.16 Children under high school age 1 1.344 Children under regular age 1 1.093 Children under secondary age 2 3.963 Children under secondary education 18 26.385 Children under the age of education 1 3.27 Children under the age of secondary education 2 1.85 Children under the age of sixteen 1 0.605 Children with basic education 1 1.461 Children without secondary school 3 2.759 Children younger than the age appropriate for high school 1 1.026 Children younger than the age required for secondary education 1 1.371 Did not reach secondary school age 1 0.947 Did not reach the secondary stage 2 1.498 Disability 1 1.134 Do not find 1 1.555 Does not exist 1 1.104 Does not exist within the category 1 0.7 Does not find 3 3.126 Does not reach legal age 1 1.273 Does not unite 4 5.696 Elementary students 1 0.904 Emaar does not unite secondary 1 1.095 Execution of children for this stage 1 0.671 F Not applicable 1 0.956 Family members have completed the study and the rest are small 1 0.62 Filial Children 1 1.195 Finish the stage 1 1.447 Finish this stage 1 1.062 For not reaching the appropriate age to enter secondary school 1 0.844 For the absence of any boys in high school 1 1.078 For the absence of children in high school 1 1.043 For young children 2 2.127 For young children in the basic stage 1 0.796 Girls in middle school 1 1.355 Has no age group 1 0.928 He has no ages for high school 1 0.93 High School Graduates 1 1.517 I do not know 4 5.328 I don't have high school children 1 1.798 I mean the construction of the family does not suit the ages of high school students 1 0.629 In the basic stage 2 1.427 In the basic stage only children 1 0.813 Inadequate age 1 0.805 Junior for children and some graduated for individuals from high school 1 0.762 Lack of age 2 1.243 Lack of age appropriate for the secondary stage 2 4.07 Lack of age group 7 10.435 Lack of age group within the family 1 0.899 Lack of an individual 1 1.348 Lack of appropriate age for secondary education 1 0.684 Lack of appropriate age for secondary school 2 1.986 Lack of appropriate age for secondary stage 1 0.948 Lack of children 1 1.924 Lack of children in need of secondary education 1 1.257 Lack of children in secondary education 2 1.377 Lack of children with secondary education 3 2.18 Lack of complete age to reach secondary education 1 1.195 Lack of enrollment to reduce the stage 1 1.683 Lack of enrollment to this stage 1 0.887 Lack of family members in secondary school 1 0.928 Lack of family members in secondary school age 1 1.934 Lack of individuals for secondary school age 1 1.394 Lack of individuals in the secondary stage 1 1.894 Lack of legal age for schools 1 1.48 Lack of secondary age 2 1.782 Lack of secondary education category in the family 1 1.047 Lack of secondary school age 1 0.834 Lack of secondary school children 3 2.456 Lack of secondary school personnel 1 1.3 Lack of secondary stage Plasri 1 0.865 Lack of secondary stage in the family 1 2.554 Lack of secondary stage prisoners 1 0.971 Leave school to help family and work 1 0.937 Less than age 1 0.889 Lessa my children are young 1 0.327 No 1 1.223 No age at secondary age 1 5.124 No age group 1 0.835 No alternative 1 0.322 No category 3 7.291 No children are available for this stage 2 2.029 No children of this class 1 0.477 No children reach the age of secondary school 1 0.852 No individuals are enrolled in schools 1 0.84 No one flies at this stage yet 1 0.444 No one has joined this stage yet 1 0.888 No one has reached high school age 1 0.81 No one is enrolled 2 3.979 No one is enrolled in secondary education 1 0.688 No one joined this stage 10 9.146 No one joined this stage during the past 12 months 1 0.993 No one joined. At this stage 1 0.509 No one should join this stage 1 0.506 No personnel available for this stage 1 0.864 No secondary school children 1 1.066 No secondary stage 1 0.834 No, there is not 1 1.271 No. There are students. secondary 1 1.008 No. There is a category 1 1.034 No. exist 1 1.073 None 1 1.057 None in this category 1 1.548 None of the children reached secondary school age 1 0.932 None of the children reached the secondary school age 1 1.184 None of this category 5 3.778 Not alone 1 1.22 Not applicable 9 12.582 Not applicable .... Lack of class in the family 1 1.669 Not attending school 2 2.968 Not attending the secondary stage for not meeting the required age 1 1.271 Not enrolled. One at this point 1 0.689 Not from this class 1 0.214 Not my grandfather 1 1.073 Not reaching age 1 0.871 Not reaching age for this stage 1 0.868 Not reaching any of the children of secondary school age 1 0.796 Not reaching six 1 0.887 Not reaching that stage 2 1.814 Not reaching the appropriate age for secondary school 2 2.029 Not reaching the appropriate age for the secondary stage 1 0.783 Not reaching the secondary school age 1 0.997 Not to reach the appropriate age for the secondary stage 9 7.749 Not to skip primary school children 1 1.013 Not wanting to continue education 1 0.716 Not wanting to go to school 1 0.56 Old age 3 5.177 Only in the basic stage 1 1.066 Other 2 3.294 Out of class 1 3.989 Outside of the class 2 2.558 Outside the category 14 18.897 Parents' unwillingness 1 1.333 Primary Children 1 1.561 Primary and preparatory children 1 0.803 Primary school children 5 6.141 Primary younger than secondary age 1 1.629 Single student basic stage 1 1.151 Skip secondary school 1 2.272 Small age 2 1.466 Small children 2 1.183 Small for children 1 1.875 Some of them have finished this stage and the other has not reached them yet 1 2.425 Sons in Abassi Education 1 1.994 Students of this stage are not allowed 1 0.0503 Students without high school 1 1.074 The absence of children in school 1 2.223 The absence of children in secondary school 1 1.414 The absence of individuals in the secondary 1 1.52 The absence of secondary school children in captivity 1 0.855 The age is smaller than the bitter secondary 1 0.896 The age is smaller than the secondary stage 1 0.877 The age of children in the family does not correspond to the ages of secondary schools 1 0.992 The age of children in the family is lower than that of secondary school students 1 0.504 The age of children in the family is smaller than that of secondary school students 1 2.018 The age of children is less than secondary 1 1.14 The age of the children in the family is not appropriate for the ages of high school students 1 2.037 The child in kindergarten 2 1.305 The child in the basic stage 1 0.616 The child is enrolled in kindergarten 1 1.411 The children are young to enroll in high school 1 0.818 The children did not finish the basic stage 1 0.336 The children did not reach high school 1 1.673 The children did not reach secondary education 1 1.129 The children did not reach the secondary age 1 1.353 The children did not reach the secondary stage 1 0.763 The children have not reached the secondary stage yet 1 2.57 The children of this family did not reach the secondary stage 1 1.062 The family did not receive treatment 1 1.022 The family does not have a secondary education .... not applicable 1 1.35 The family does not have a secondary education category 1 1.053 The family does not have secondary school children 2 3.162 The family has no one in the secondary 1 5.301 The head of the family is patient 1 0.784 The largest middle school student 1 1.083 The oldest child is 7 years 1 1.978 The patient is not enrolled in secondary education 1 0.597 The sons of this family are below the secondary level 2 2.403 The student finished high school 1 1.841 The young age has not reached secondary education yet 1 0.814 The young age of the child 1 1.183 Their age does not allow them 3 0.963 Their age does not allow them to attend secondary school 1 0.721 Their age does not allow them to enroll 1 1.045 Their age is lower 1 1.724 Their age is small 1 0.941 Their age is too low to attend secondary school 1 1.046 Their young age 2 1.756 There are individuals in university education 1 0.973 There are no Tanui students 1 1.73 There are no children at secondary level 1 1.095 There are no children at the secondary level 1 1.017 There are no children for this stage 3 3.01 There are no children in high school 133 180.24 There are no children in high school. the public 1 0.624 There are no children in secondary 1 0.229 There are no children in secondary education 5 6.974 There are no children in secondary school 1 0.978 There are no children in the secondary school 1 1.818 There are no children in the secondary stage 2 1.713 There are no children in this category 1 1.018 There are no children in this school 1 0.874 There are no children in this stage 1 1.429 There are no children of secondary age 1 0.961 There are no children of secondary school age 1 0.971 There are no children of this age 4 5.84 There are no children with secondary education 2 1.555 There are no children within the age range of secondary school 1 1.07 There are no children within the secondary level 4 3.734 There are no family members of secondary school age 4 5.028 There are no high school age 1 1.043 There are no high school children 1 0.575 There are no high school students 6 6.972 There are no high school students in the family 1 1.101 There are no high schoolers 1 0.474 There are no individuals 1 0.695 There are no individuals at this secondary level 1 1.246 There are no individuals at this stage 3 3.395 There are no individuals in secondary education 2 1.613 There are no individuals in secondary school 1 0.62 There are no individuals in the secondary stage 1 1.094 There are no individuals of secondary school age 1 2.068 There are no individuals within the secondary level 5 5.979 There are no older children in the family 1 0.522 There are no school dogs 1 0.972 There are no school students 1063 1236.788 There are no second stages 1 0.981 There are no secondary age children 1 1.041 There are no secondary ages 1 1.356 There are no secondary children 5 3.482 There are no secondary school attendees 1 0.78 There are no secondary school children 5 6.374 There are no secondary school members 2 2.906 There are no secondary school personnel 5 6.54 There are no secondary students 6 9.073 There are no students 1 0.864 There are no students at this stage 11 14.75 There are no students from this stage 1 1.687 There are no students. secondary 3 2.978 There is no 4 3.151 There is no age group 25 35.03 There is no age group at the secondary level 1 2.242 There is no age group for secondary education 3 2.823 There is no age group for secondary school 2 1.796 There is no age group in secondary education 10 10.755 There is no age group in the secondary 7 5.695 There is no and did not reach the secondary stage 1 0.97 There is no at this stage 6 7.538 There is no category 1 1.264 There is no class in secondary education 3 3.164 There is no cure 1 0.961 There is no education. secondary 1 0.86 There is no family in high school 1 1.73 There is no family member of secondary school age 1 1.265 There is no high school 2 2.129 There is no individual at this stage 16 20.004 There is no one in high school 1 0.96 There is no one in the secondary 4 5.314 There is no one secondary stage 1 0.994 There is no second stage 1 1.777 There is no secondar 1 0.995 There is no secondary 12 13.604 There is no secondary age 1 0.506 There is no secondary age group 10 10.214 There is no secondary age group of family members 1 0.906 There is no secondary class 1 1.069 There is no secondary class in the family 1 1.343 There is no secondary education 4 6.089 There is no secondary education category 1 1.349 There is no secondary one 1 0.805 There is no secondary school 1 1.831 There is no secondary stage 6 6.492 There is no secondary stages 1 1.287 There is no such category 1 1.194 There is no. 1 0.98 There is no. Secondary students 5 5.65 There is no. Students. secondary 3 3.459 There is only one female student who will attend secondary school 1 1.524 They are under the age of sixteen 1 1.075 They attend primary school 1 0.753 They did not complete education 1 1.519 They did not go to secondary education because of their young age 1 1.352 They did not reach high school 1 1.273 They did not reach this stage 37 51.033 They do not attend school 1 0.832 They do not have secondary ages 1 1.353 They have no children 1 0.744 They have no children for this stage 1 1.038 They have not reached the required age 1 0.974 They will not reach this stage 1 1.192 This category does not exist 1 0.851 To not reach the age limit for secondary education 1 1.479 To not reach the appropriate age for secondary school 1 2.263 To not reach the appropriate age for the secondary stage 2 1.917 To not reach the appropriate age to the secondary stage 1 0.279 Uncle there are sons at this stage 1 2.366 Under secondary age 1 0.671 University 1 0.752 Unwillingness to education 1 2.575 Unwillingness to pursue education 2 2.745 Willingness to work 1 0.936 Without age 1 1.352 Work in construction 1 1.44 Work to help the family 1 0.417 Young age 41 45.068 Young age for children 1 0.785 Young children 10 11.393 Young children are enrolled in kindergartens 1 0.776 Young children did not attend school 1 0.958 Young children have not reached secondary school 1 0.171 Young children in basic stage 1 1.026 Young children in primary school 1 2.058 Young children in primary school have not yet reached secondary school 1 0.941 Young children in the first grade of primary 1 0.841 Younger age required 1 1.357 Younger children less than secondary school 1 0.937 Younger old 1 0.997 Younger than age 1 0.986 Younger than secondary age 1 2.512 children. The basic stage 1 0.71 children. primary 1 0.879 do not apply 677 867.649 he age of children is less than secondary 1 1.091 marriage 1 0.693 nothing 1 1.539 there is no children 1 0.846 there is nobody 2 3.525 unknown 1 1.531  Enrolled in basic education 1 1.303  No children meet the requirement 1 0.839  Not wanting to complete education 1 1.098  The children did not reach the secondary stage 1 1.028  The family has high school children 1 1.054  There are no children at this stage 1 1.366  There are no children in this category 1 0.431  There are no high school students 1 0.898  There are no members in the category 1 1.249  There are no members of secondary education 1 1.452  There are no secondary school children 1 0.814  There are no secondary school personnel 1 3.107  There is no 2 2.297  There is no family when one high school 1 2.122  There is no release within secondary education 1 1.005  There is no secondary one 1 1.112  There is not yet only a basic secondary stage 1 1.123  do not apply 4 8.72   For not reaching age 1 1.033   Help the father work 1 0.606   do not apply 3 3.565    Their age does not allow them 1 0.564 During the past 12 months, Was there need to issue an (identity card, a passport Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 During the past 12 months, Was there need to issue an (identity card, a passport, certificate of birth,...( 1 Yes 2889 2592.681 2 No 6785 7081.839 Sysmiss 1 0.48 Have you been asked to get the documents you need Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 2889 2592.681 6786 7082.319 Have you been asked to get the documents you need 1 Yes, Manual 2267 2095.361 2 Yes, Electronic 588 460.08 3 No 34 37.241 Sysmiss 6786 7082.319 What is the Level of satisfaction with services Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 2855 2555.44 6820 7119.56 What is the Level of satisfaction with services 1 very satisfied 491 501.738 2 Satisfied 2211 1905.554 3 dissatisfied 116 107.304 4 very dissatisfied 28 29.284 9 I don't know 9 11.561 Sysmiss 6820 7119.56 What is the Main reason behind dissatisfaction with services Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 107 87.998 9568 9587.002 What is the Main reason behind dissatisfaction with services 1 quantity of service 10 4.856 2 quality of service 52 40.336 3 quantity and quality 37 34.438 4 other/ specify 7 7.006 9 I don't know 1 1.362 Sysmiss 9568 9587.002 What is the Main reason behind dissatisfaction with services Other/ specify Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 7 7.006 0 0 What is the Main reason behind dissatisfaction with services Other/ specify Any government service has become linked 1 0.0756 Complexity and branched document extraction process 1 0.819 Difficult dates 1 1.707 High price every period on transactions 1 1.031 Intermediate 1 0.229 Long wait role 1 2.57 Special treatment for Gazans when extracting official documents 1 0.574 The office service was easily accessible Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 2855 2555.44 6820 7119.56 The office service was easily accessible 1 Yes 2663 2376.496 2 No 176 160.581 9 I don't know 16 18.363 Sysmiss 6820 7119.56 Reasonableness of costs of obtaining such documents Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 2855 2555.44 6820 7119.56 Reasonableness of costs of obtaining such documents 1 Yes 2364 2080.008 2 No 456 437.973 9 I don't know 35 37.459 Sysmiss 6820 7119.56 Treatment recipients were treated with respect Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 2855 2555.44 6820 7119.56 Treatment recipients were treated with respect 1 Yes 2745 2428.266 2 No 94 107.53 9 I don't know 16 19.644 Sysmiss 6820 7119.56 The complexity of the process of applying for such documents Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 2855 2555.44 6820 7119.56 The complexity of the process of applying for such documents 1 Yes 738 655.348 2 No 2077 1858.831 9 I don't know 40 41.261 Sysmiss 6820 7119.56 The reasonableness of the time required to obtain such documents Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 2855 2555.44 6820 7119.56 The reasonableness of the time required to obtain such documents 1 Yes 2582 2277.604 2 No 244 252.078 9 I don't know 29 25.758 Sysmiss 6820 7119.56 What is the main reason you did not try to obtain such documents Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 34 37.241 9641 9637.759 What is the main reason you did not try to obtain such documents 1 Cannot afford to (administrative fees are too expensive) 25 29.807 2 Too difficult to access the place of service 0 0 3 The staff doesn't treat people with respect 0 0 4 The process for applying and obtaining such documents is too 1 0.0606 5 It takes too long to get what you need 0 0 6 Other reasons/ specify……… 8 7.373 Sysmiss 9641 9637.759 What is the main reason you did not try to obtain such documents Other/ specify Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 8 7.373 0 0 What is the main reason you did not try to obtain such documents Other/ specify By power of attorney to someone from the bank 1 0.63 By school 4 3.22 Divorce paper from the court 1 0.955 The application was submitted by Fares School 1 1.582 There is not enough time to go and get a birth certificate 1 0.986 Have you used a mobile cellular telephone in the last three months Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 Have you used a mobile cellular telephone in the last three months 1 Yes 6978 6966.695 2 No 2696 2707.825 Sysmiss 1 0.48 Have you used a smart phone in the last three months Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 Have you used a smart phone in the last three months 1 Yes 6986 7015.471 2 No 2688 2659.049 Sysmiss 1 0.48 Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 1 Yes 6308 6302.064 2 No 3366 3372.456 Sysmiss 1 0.48 Have you owned a smart phone Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 Have you owned a smart phone 1 Yes 6398 6404.222 2 No 3276 3270.298 Sysmiss 1 0.48 Have you used a computer (desktop, laptop, tablet or similar) from any location in the last three months? Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 Have you used a computer (desktop, laptop, tablet or similar) from any location in the last three months? 1 Yes 1424 1420.371 2 No 8250 8254.149 Sysmiss 1 0.48 Have you carried out in the last three months Copying or moving a file or folder Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1424 1420.371 8251 8254.629 Have you carried out in the last three months Copying or moving a file or folder 1 Yes 1003 959.049 2 No 421 461.322 Sysmiss 8251 8254.629 Using copy and paste tools to duplicate or move information within a document Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1424 1420.371 8251 8254.629 Using copy and paste tools to duplicate or move information within a document 1 Yes 961 923.96 2 No 463 496.411 Sysmiss 8251 8254.629 Sending e-mails with attached files (e.g. document, picture, video) Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1424 1420.371 8251 8254.629 Sending e-mails with attached files (e.g. document, picture, video) 1 Yes 863 867.214 2 No 561 553.157 Sysmiss 8251 8254.629 Using basic arithmetic formulas in a spreadsheet Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1424 1420.371 8251 8254.629 Using basic arithmetic formulas in a spreadsheet 1 Yes 494 468.027 2 No 930 952.344 Sysmiss 8251 8254.629 Connecting and installing new devices (e.g. a modem, camera, printer) Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1424 1420.371 8251 8254.629 Connecting and installing new devices (e.g. a modem, camera, printer) 1 Yes 519 491.421 2 No 905 928.95 Sysmiss 8251 8254.629 Finding, downloading, installing and configuring software Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1424 1420.371 8251 8254.629 Finding, downloading, installing and configuring software 1 Yes 702 715.616 2 No 722 704.755 Sysmiss 8251 8254.629 Creating electronic presentations with presentation software (including images, sound, video or charts) Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1424 1420.371 8251 8254.629 Creating electronic presentations with presentation software (including images, sound, video or charts) 1 Yes 447 436.596 2 No 977 983.775 Sysmiss 8251 8254.629 Transferring files between a computer and other devices Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1424 1420.371 8251 8254.629 Transferring files between a computer and other devices 1 Yes 747 710.869 2 No 677 709.502 Sysmiss 8251 8254.629 Writing a computer program using a specialized programming language Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 1424 1420.371 8251 8254.629 Writing a computer program using a specialized programming language 1 Yes 249 240.071 2 No 1175 1180.3 Sysmiss 8251 8254.629 Have you used the Internet from any location in the last three months Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9674 9674.52 1 0.48 Have you used the Internet from any location in the last three months 1 Yes 6342 6228.306 2 No 3332 3446.214 Sysmiss 1 0.48 Individual weight Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 9675 0 0.00623 20.814 1 0.801 Selected individual weight