Template_project PAL_ SOCIOECOS_2020_HD_V1 Economic Research Forum 2023-03 Nesstar Publisher Version 1 Socio-Economic Survey, HSOCIOECOS 2020 HSOCIOECOS PAL_SOCIOECOS_2020_HD_V1 Palestinian Central Bureau of Statistics (c) 2023, Economic Research Forum | (c) 2020, Palestinian Central Bureau of Statistics Nesstar Publisher World Food Programme Economic Research Forum (ERF) - 21 Al-Sad Al-Aaly St., Dokki, Giza, Egypt Other Household 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. V1.0: 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 2020. 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 2020, 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 2017: This comprehensive sample consists of geographical areas with an average of 150 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 3623 households in 2020. ---> Sample Design The sample is two stage stratified cluster sample with three stages : First stage: a systematic random sample of 161 enumeration areas for the whole round was selected. Second stage: choosing (9-25) households from each enumeration area in the first stage in a systematic random manner. 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. In Jerusalem, Area J1, area sample of 25 households was selected from each enumeration area in the first stage. ---> 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.]]> Computer Assisted Telephone Interview [cati] 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 9/12/2020 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 2020 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. Palestine20-SocioEconomic HH-V1.NSDstat 3122 550 Nesstar 200801 Palestine20-SocioEconomic IND-V1.NSDstat 16484 46 Nesstar 200801 Palestine20-SocioEconomic_Life-Quality IND18-V1.NSDstat 3046 13 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 3122 3122 0 0 4504 12950 8692.389 8404.856 2535.286 2725.044 Sequential anonymous household identifier, usually provided in the dataset. Generated by ERF Country Data Dictionary & Questionnaire/Codebook All households 3122 3122 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 3122 3122 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 3122 3122 0 0 Year during which the survey was performed. 2020 3122 3122 Generated by ERF Data type Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 This variable should indicate whether the survey data is cross-sectional or panel. 1 Cross-sectional 3122 3122 2 Panel 0 0 Generated by ERF Region Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 Region of residence. 275001 West bank 2104 1868.605 275002 Gaza strip 1018 1253.395 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Urban/Rural residence Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 Indicates whether the region is urban/rural. 0 Rural 515 449.918 1 Urban 2251 2412.186 2 Refugee camps 356 259.896 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Total number of household members Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 Total number of household members 1 88 81.7 2 263 264.796 3 300 292.999 4 493 497.176 5 566 545.971 6 568 557.481 7 411 415.677 8 216 233.43 9 113 122.613 10 53 57.696 11 27 28.629 12 13 14.044 13 6 5.516 14 2 1.737 15 1 1.174 17 2 1.362 Total number of males in the household Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 0 9 2.707 2.723 1.461 1.474 Total number of males in the household 0 124 125.239 1 573 561.433 2 750 754.142 3 812 809.97 4 528 519.511 5 229 240.891 6 71 73.619 7 24 24.116 8 8 9.791 9 3 3.288 Generated by ERF Total number of females in the household Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 0 10 2.573 2.604 1.425 1.419 Total number of females in the household 0 20 15.96 1 785 753.338 2 888 901.036 3 732 719.63 4 383 413.943 5 203 207.807 6 73 72.307 7 19 19.563 8 15 15.378 9 2 2.233 10 2 0.804 Generated by ERF Number of persons under age 14 Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 Number of persons under age 14 0 1014 988.7 1 449 458.994 2 601 602.754 3 525 529.661 4 348 355.358 5 129 128.405 6 41 46.06 7 11 9.426 8 1 1.059 9 3 1.583 Number of persons aged 18 or more Data Dictionary & Questionnaire/Codebook All households 3122 0 Number of persons aged 18 or more 1 110 2 1606 3 481 4 446 5 274 6 130 7 47 8 19 9 8 10 1 Number of persons aged 65 or more Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 Number of persons aged 65 or more 0 2638 2626.632 1 350 348.235 2 131 137.465 3 3 9.667 Number of unemployed 15+ males who have previously worked Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 0 4 0.17 0.175 0.428 0.435 Number of unemployed 15+ males who have previously worked 0 2650 2637.548 1 419 427.651 2 48 51.807 3 4 3.877 4 1 1.116 Generated by ERF Number of unemployed 15+ males who have never worked Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 0 5 0.149 0.16 0.476 0.498 Number of unemployed 15+ males who have never worked 0 2780 2759 1 244 255.096 2 79 86.832 3 14 14.334 4 4 5.05 5 1 1.688 Generated by ERF Number of unemployed 15+ females who have previously worked Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 0 1 0.0183 0.0165 0.134 0.127 Number of unemployed 15+ females who have previously worked 0 3065 3070.583 1 57 51.417 Generated by ERF Number of unemployed 15+ females who have never worked Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 0 4 0.0804 0.0863 0.317 0.328 Number of unemployed 15+ females who have never worked 0 2906 2891.415 1 186 197.143 2 26 28.79 3 3 3.83 4 1 0.821 Generated by ERF Number of 15+ unemployed household members who have previously worked Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 0 4 0.188 0.192 0.451 0.456 0 2603 2595.538 1 459 463.11 2 52 55.504 3 7 6.732 4 1 1.116 Generated by ERF Number of 15+ unemployed household members who have never worked Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 0 5 0.229 0.247 0.591 0.62 Number of 15+ unemployed household members who have never worked 0 2609 2580.996 1 362 374.626 2 111 119.073 3 30 35.042 4 8 9.309 5 2 2.954 Generated by ERF Number of 15+ males in the labor force Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 0 6 1.187 1.176 0.859 0.858 Number of 15+ males in the labor force 0 466 480.58 1 1959 1956.432 2 422 423.465 3 209 192.562 4 54 56.461 5 11 11.326 6 1 1.174 Generated by ERF Number of 15+ females in the labor force Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 0 5 0.234 0.228 0.508 0.505 Number of 15+ females in the labor force 0 2493 2512.307 1 542 524.033 2 74 71.402 3 11 12.331 4 1 1.105 5 1 0.821 Generated by ERF Number of 15+ household members in the labor force Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 0 6 1.422 1.404 1.019 1.013 Number of 15+ household members in the labor force 0 379 393.069 1 1656 1660.024 2 669 672.803 3 278 256.699 4 100 98.663 5 29 31.909 6 11 8.833 Generated by ERF Number of 15+ males out of labor force Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 0 5 0.509 0.527 0.743 0.751 Number of 15+ males out of labor force 0 1913 1875.657 1 904 926.055 2 241 252.964 3 54 56.911 4 8 9.077 5 2 1.336 Generated by ERF Number of 15+ females out of labor force Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 0 7 1.407 1.433 0.928 0.93 Number of 15+ females out of labor force 0 289 265.038 1 1781 1758.759 2 673 715.528 3 284 282.955 4 70 73.187 5 20 20.645 6 2 2.418 7 3 3.468 Generated by ERF Number of 15+ household members out of labor force Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 0 9 1.916 1.96 1.29 1.299 Number of 15+ household members out of labor force 0 222 200.759 1 1261 1244.121 2 747 734.909 3 527 556.923 4 235 250.865 5 88 90.743 6 32 32.78 7 7 7.787 8 2 1.938 9 1 1.174 Generated by ERF Gender of the head Data Dictionary & Questionnaire/Codebook All Heads 3122 3122 0 0 Gender of the head. 1 Male 2847 2849.913 2 Female 275 272.087 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Gender of the first spouse Data Dictionary & Questionnaire/Codebook All Spouses 2802 2812.005 320 309.995 Gender of the first spouse. 1 Male 10 9.043 2 Female 2792 2802.961 Sysmiss 320 309.995 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Gender of the second spouse Data Dictionary & Questionnaire/Codebook All Spouses 23 23.317 3099 3098.683 Gender of the second spouse. 1 Male 0 0 2 Female 23 23.317 Sysmiss 3099 3098.683 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Age of the head Data Dictionary & Questionnaire/Codebook All Heads 3122 3122 0 0 22 99 47.248 47.196 13.443 13.726 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 2802 2812.005 320 309.995 19 99 40.445 40.425 12.569 12.742 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 23 23.317 3099 3098.683 25 70 39.913 41.101 10.9 11.6 Age of the second spouse in completed years. Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Marital status of the head [Standardized version] Data Dictionary & Questionnaire/Codebook Heads aged 14+ 3122 3122 0 0 Legal administrative status concerning marriage of the head. 1 Never married 49 46.201 2 Married monogamous 2811 2819.585 3 Married polygamous 23 23.317 4 Divorced/Separated 43 40.206 5 Widowed 196 192.691 99 Not stated 0 0 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Marital status of the first spouse [Standardized version] Spouses aged 14+ 2802 2812.005 320 309.995 Legal administrative status concerning marriage of the first spouse. 1 Never married 0 0 2 Married monogamous 2802 2812.005 3 Married polygamous 0 0 4 Divorced/Separated 0 0 5 Widowed 0 0 99 Not stated 0 0 Sysmiss 320 309.995 Marital status of the second spouse [Standardized version] Spouses aged 14+ 23 23.317 3099 3098.683 Legal administrative status concerning marriage of the second spouse. 1 Never married 0 0 2 Married monogamous 23 23.317 3 Married polygamous 0 0 4 Divorced/Separated 0 0 5 Widowed 0 0 99 Not stated 0 0 Sysmiss 3099 3098.683 Marital status of the head [Detailed version] Data Dictionary & Questionnaire/Codebook Heads aged 14+ 3122 3122 0 0 Legal administrative status concerning marriage of the head (detailed version of coding). 100 Never married 49 46.201 200 Married monogamous 0 0 210 Legally married 5 3.776 220 Married 2806 2815.808 300 Married polygamous 23 23.317 400 Divorced/Separated 0 0 410 Separated 9 7.703 420 Divorced 34 32.503 500 Widowed 196 192.691 999 Not stated 0 0 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Marital status of the first spouse [Detailed version] Spouses aged 14+ 2802 2812.005 320 309.995 220 220 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 2802 2812.005 300 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+ 23 23.317 3099 3098.683 220 220 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 23 23.317 300 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+ 3122 3122 0 0 This variable indicates whether the head is literate (can read and write) or not. 0 No 84 79.819 1 3037 3040.681 99 Not stated 1 1.5 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Literacy status of the first spouse Data Dictionary & Questionnaire/Codebook Spouses aged 10+ 2802 2812.005 320 309.995 This variable indicates whether the first spouse is literate (can read and write) or not. 0 No 54 44.795 1 2747 2766.15 99 Not stated 1 1.059 Sysmiss 320 309.995 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Literacy status of the second spouse Data Dictionary & Questionnaire/Codebook Spouses aged 10+ 23 23.317 3099 3098.683 This variable indicates whether the second spouse is literate (can read and write) or not. 0 No 2 1.936 1 21 21.381 99 Not stated 0 0 Sysmiss 3099 3098.683 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Educational level of the head [Standardized version] Heads aged 10+ 3122 3122 0 0 Educational level of the head [Standardized version] 1 None 305 286.429 2 Primary/Lower secondary 1323 1312.507 3 Secondary 636 647.78 4 Post secondary or equivalent 256 255.366 5 University 514 525.639 6 Postgraduate 87 92.78 99 Not stated 1 1.5 Educational level of the first spouse [Standardized version] Spouses aged 10+ 2802 2812.005 320 309.995 Educational level of the first spouse [Standardized version] 1 None 182 166.504 2 Primary/Lower secondary 1111 1125.292 3 Secondary 683 709.471 4 Post secondary or equivalent 170 175.753 5 University 622 592.142 6 Postgraduate 33 41.784 99 Not stated 1 1.059 Sysmiss 320 309.995 Educational level of the second spouse [Standardized version] Spouses aged 10+ 23 23.317 3099 3098.683 Educational level of the second spouse [Standardized version] 1 None 5 5.411 2 Primary/Lower secondary 7 6.564 3 Secondary 7 7.662 4 Post secondary or equivalent 2 2.428 5 University 2 1.252 6 Postgraduate 0 0 99 Not stated 0 0 Sysmiss 3099 3098.683 Educational level of the head [Detailed version] Heads aged 10+ 3122 3122 0 0 110 999 Educational level of the head [Detailed version] 100 None 0 0 110 Illiterate 84 79.819 120 Read only 0 0 130 Read & write 221 206.61 140 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 508 522.246 220 Preparatory 815 790.261 230 Lower secondary 0 0 240 Professional/Vocational below secondary education 0 0 300 Secondary 636 647.78 310 Academic secondary 0 0 320 Professional/Vocational secondary 0 0 400 Post secondary or equivalent 256 255.366 500 University 514 525.639 600 Postgraduate 0 0 610 High diploma 6 6.336 620 Masters 65 66.562 630 PhD 16 19.882 999 Not stated 1 1.5 Educational level of the first spouse [Detailed version] Spouses aged 10+ 2802 2812.005 320 309.995 110 999 Educational level of the first spouse [Detailed version] 100 None 0 0 110 Illiterate 54 44.795 120 Read only 0 0 130 Read & write 128 121.708 140 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 358 359.063 220 Preparatory 753 766.229 230 Lower secondary 0 0 240 Professional/Vocational below secondary education 0 0 300 Secondary 683 709.471 310 Academic secondary 0 0 320 Professional/Vocational secondary 0 0 400 Post secondary or equivalent 170 175.753 500 University 622 592.142 600 Postgraduate 0 0 610 High diploma 4 4.368 620 Masters 27 36.133 630 PhD 2 1.283 999 Not stated 1 1.059 Educational level of the second spouse [Detailed version] Spouses aged 10+ 23 23.317 3099 3098.683 110 500 Educational level of the second spouse [Detailed version] 100 None 0 0 110 Illiterate 2 1.936 120 Read only 0 0 130 Read & write 3 3.475 140 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 4 4.344 220 Preparatory 3 2.22 230 Lower secondary 0 0 240 Professional/Vocational below secondary education 0 0 300 Secondary 7 7.662 310 Academic secondary 0 0 320 Professional/Vocational secondary 0 0 400 Post secondary or equivalent 2 2.428 500 University 2 1.252 600 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+ 3122 3122 0 0 Main activity status of the head during the survey period. 1 Employed 1980 1928.997 2 Unemployed 347 370.396 3 Homemaker (Housewife) 155 158.743 4 Student 8 10.733 5 Pensioners/retired/disabled 588 611.782 6 Others 44 41.35 99 Not stated 0 0 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+ 2802 2812.005 320 309.995 Main activity status of the first spouse during the survey period. 1 Employed 260 240.621 2 Unemployed 97 99.452 3 Homemaker (Housewife) 2291 2304.332 4 Student 75 86.893 5 Pensioners/retired/disabled 75 75.703 6 Others 4 5.004 99 Not stated 0 0 Sysmiss 320 309.995 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+ 23 23.317 3099 3098.683 Main activity status of the second spouse during the survey period. 1 Employed 2 1.238 2 Unemployed 0 0 3 Homemaker (Housewife) 19 19.328 4 Student 1 1.282 5 Pensioners/retired/disabled 1 1.468 6 Others 0 0 99 Not stated 0 0 Sysmiss 3099 3098.683 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Main activity status of the head [Detailed version] Data Dictionary & Questionnaire/Codebook Heads aged 7+ 3122 3122 0 0 Main activity status of the head during the survey period (detailed version of coding). 100 Employed 1980 1928.997 110 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) 296 312.049 220 Unemployed never worked (seeking a job) 51 58.347 230 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) 155 158.743 310 Homemaker 0 0 320 Housewife 0 0 400 Student 8 10.733 500 Pensioners/retired/disabled 0 0 510 Pensioners 0 0 520 Retired 177 187.843 530 Disabled 0 0 540 Unable to work 0 0 550 Old 0 0 560 Disabled/Old/Ill 411 423.939 600 Others 9 6.599 610 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 35 34.751 650 In prison 0 0 660 In hospital 0 0 670 Landlord 0 0 680 Family responsibilities 0 0 999 Not stated 0 0 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+ 2802 2812.005 320 309.995 Main activity status of the first spouse during the survey period (detailed version of coding). 100 Employed 260 240.621 110 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) 30 27.711 220 Unemployed never worked (seeking a job) 67 71.741 230 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) 2291 2304.332 310 Homemaker 0 0 320 Housewife 0 0 400 Student 75 86.893 500 Pensioners/retired/disabled 0 0 510 Pensioners 0 0 520 Retired 25 27.717 530 Disabled 0 0 540 Unable to work 0 0 550 Old 0 0 560 Disabled/Old/Ill 50 47.987 600 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 4 5.004 650 In prison 0 0 660 In hospital 0 0 670 Landlord 0 0 680 Family responsibilities 0 0 999 Not stated 0 0 Sysmiss 320 309.995 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+ 23 23.317 3099 3098.683 Main activity status of the second spouse during the survey period (detailed version of coding). 100 Employed 2 1.238 110 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) 19 19.328 310 Homemaker 0 0 320 Housewife 0 0 400 Student 1 1.282 500 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 1 1.468 600 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 3099 3098.683 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Status of employment of the head [Standardized version] Data Dictionary & Questionnaire/Codebook Employed Heads aged 7+ 2276 2241.046 846 880.954 Detailed description of the employment status of the head. 1 Employee 1286 1295.947 2 Employer 150 151.41 3 Own-account, self-employed 366 356.362 4 Contributing (unpaid) family worker 4 2.91 5 Members of producers cooperatives 0 0 6 Workers not classifiable by status (other) 470 434.418 99 Not stated 0 0 Sysmiss 846 880.954 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+ 290 268.332 2832 2853.668 Detailed description of the employment status of the first spouse. 1 Employee 212 190.469 2 Employer 1 2.132 3 Own-account, self-employed 29 28.417 4 Contributing (unpaid) family worker 35 30.504 5 Members of producers cooperatives 0 0 6 Workers not classifiable by status (other) 13 16.81 99 Not stated 0 0 Sysmiss 2832 2853.668 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+ 2 1.238 3120 3120.762 Detailed description of the employment status of the second spouse. 1 Employee 1 0.95 2 Employer 0 0 3 Own-account, self-employed 0 0 4 Contributing (unpaid) family worker 1 0.289 5 Members of producers cooperatives 0 0 6 Workers not classifiable by status (other) 0 0 99 Not stated 0 0 Sysmiss 3120 3120.762 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Occupation classification of the main job of the head [Standardized version] Data Dictionary & Questionnaire/Codebook Employed Heads aged 7+ 2275 2239.764 847 882.236 Standardized occupation classification for the main job of the head. 10 Legislators, senior officials and managers 118 111.484 20 Professionals 281 292.915 30 Technicians and associate professionals 79 84.343 40 Clerks 18 21.684 50 Service workers and shop and market sales workers 321 323.204 60 Skilled agricultural and fishery workers 72 64.353 70 Craft and related trades workers 455 442.207 80 Plant and machine operators, and assemblers 213 221.825 90 Elementary occupations 573 535.103 100 Armed forces 0 0 998 Other/unspecified 0 0 999 Not stated 145 142.646 Sysmiss 847 882.236 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+ 290 268.332 2832 2853.668 Standardized occupation classification for the main job of the first spouse. 10 Legislators, senior officials and managers 18 17.64 20 Professionals 154 149.381 30 Technicians and associate professionals 26 21.332 40 Clerks 13 12.137 50 Service workers and shop and market sales workers 23 19.135 60 Skilled agricultural and fishery workers 24 19.411 70 Craft and related trades workers 9 9.307 80 Plant and machine operators, and assemblers 3 2.128 90 Elementary occupations 17 16.107 100 Armed forces 0 0 998 Other/unspecified 0 0 999 Not stated 3 1.753 Sysmiss 2832 2853.668 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+ 2 1.238 3120 3120.762 Standardized occupation classification for the main job of the second spouse. 10 Legislators, senior officials and managers 0 0 20 Professionals 1 0.95 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 1 0.289 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 3120 3120.762 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Data Dictionary & Questionnaire/Codebook Employed Heads aged 7+ 2275 2239.764 847 882.236 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 118 111.484 2 Professionals 281 292.915 3 Technicians and associate professionals 79 84.343 4 Clerks 18 21.684 5 Service workers and shop and market sales workers 321 323.204 6 Skilled agricultural and fishery workers 72 64.353 7 Craft and related trades workers 455 442.207 8 Plant and machine operators and assemblers 213 221.825 9 Elementary occupations 573 535.103 9998 Unspecified codes 0 0 9999 Not stated 145 142.646 Sysmiss 847 882.236 Data Dictionary & Questionnaire/Codebook Employed Spouses aged 7+ 290 268.332 2832 2853.668 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 18 17.64 2 Professionals 154 149.381 3 Technicians and associate professionals 26 21.332 4 Clerks 13 12.137 5 Service workers and shop and market sales workers 23 19.135 6 Skilled agricultural and fishery workers 24 19.411 7 Craft and related trades workers 9 9.307 8 Plant and machine operators and assemblers 3 2.128 9 Elementary occupations 17 16.107 9998 Unspecified codes 0 0 9999 Not stated 3 1.753 Sysmiss 2832 2853.668 Data Dictionary & Questionnaire/Codebook Employed Spouses aged 7+ 2 1.238 3120 3120.762 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 0.95 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 1 0.289 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 3120 3120.762 Economic activity classification of the main job of the head [Standardized version] Data Dictionary & Questionnaire/Codebook Employed Heads aged 7+ 2276 2241.046 846 880.954 Standardized economic activity classification of the main job of the head. 10 Agriculture, forestry and fishing 2 1.916 20 Mining and quarrying 0 0 30 Manufacturing 440 385.452 40 Electricity, gas and water supply 15 17.125 50 Construction 584 572.273 60 Wholesale and retail trade 330 339.698 70 Transportation and storage 151 162.236 80 Accommodation and food service activities 50 49.529 90 Information and communication 11 15.088 100 Financial and insurance activities 11 13.122 110 Real estate, professional and support service activities 49 47.894 120 Public administration and defense 322 327.208 130 Education 184 174.412 140 Human health and social work activities 66 73.289 150 Other activities 60 60.563 998 Unspecified 0 0 999 Not stated 1 1.242 Sysmiss 846 880.954 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+ 290 268.332 2832 2853.668 Standardized economic activity classification of the main job of the first spouse. 10 Agriculture, forestry and fishing 0 0 20 Mining and quarrying 0 0 30 Manufacturing 44 37.356 40 Electricity, gas and water supply 0 0 50 Construction 1 0.34 60 Wholesale and retail trade 15 13.12 70 Transportation and storage 0 0 80 Accommodation and food service activities 2 1.664 90 Information and communication 1 1.146 100 Financial and insurance activities 5 4.962 110 Real estate, professional and support service activities 9 8.863 120 Public administration and defense 33 26.745 130 Education 140 138.581 140 Human health and social work activities 22 18.797 150 Other activities 18 16.757 998 Unspecified 0 0 999 Not stated 0 0 Sysmiss 2832 2853.668 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+ 2 1.238 3120 3120.762 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 1 0.289 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 1 0.95 140 Human health and social work activities 0 0 150 Other activities 0 0 998 Unspecified 0 0 999 Not stated 0 0 Sysmiss 3120 3120.762 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Economic activity of the main job of the head [ISIC Rev.4-2 digits] Employed Heads aged 7+ 2276 2241.046 846 880.954 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 2 1.916 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 440 385.452 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 9 11.1 36 Water collection, treatment and supply 6 6.025 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 584 572.273 42 Civil engineering 0 0 43 Specialized construction activities 0 0 45 Wholesale and retail trade and repair of motor vehicles and motorcycles 330 339.698 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 151 162.236 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 50 49.529 56 Food and beverage service activities 0 0 58 Publishing activities 11 15.088 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 11 13.122 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 2.359 69 Legal and accounting activities 20 18.555 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 27 26.981 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 322 327.208 85 Education 184 174.412 86 Human health activities 66 73.289 87 Residential care activities 0 0 88 Social work activities without accommodation 0 0 90 Creative, arts and entertainment activities 7 6.794 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 37 37.952 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 5 4.65 98 Undifferentiated goods- and services-producing activities of private households for own use 0 0 99 Activities of extraterritorial organizations and bodies 11 11.166 9998 Unspecified code 0 0 9999 Not stated 1 1.242 Sysmiss 846 880.954 Economic activity of the main job of the first spouse [ISIC Rev.4-2 digits] Employed Spouses aged 7+ 290 268.332 2832 2853.668 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 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 44 37.356 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 1 0.34 42 Civil engineering 0 0 43 Specialized construction activities 0 0 45 Wholesale and retail trade and repair of motor vehicles and motorcycles 15 13.12 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 2 1.664 56 Food and beverage service activities 0 0 58 Publishing activities 1 1.146 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 5 4.962 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 5 4.995 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 4 3.868 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 33 26.745 85 Education 140 138.581 86 Human health activities 22 18.797 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 13 11.446 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 5 5.311 9998 Unspecified code 0 0 9999 Not stated 0 0 Sysmiss 2832 2853.668 Economic activity of the main job of the second spouse [ISIC Rev.4-2 digits] Employed Spouses aged 7+ 2 1.238 3120 3120.762 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 1 0.289 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 1 0.95 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 3120 3120.762 Sector of employment of the head [Standardized version] Data Dictionary & Questionnaire/Codebook Employed Heads aged 7+ 2276 2241.046 846 880.954 Sector of employment (i.e. private versus public sector workers) in the main job of the head. 1 Government 454 452.719 2 Public sector 0 0 3 Private sector 1785 1751.939 4 Joint/Cooperative 0 0 5 Foreign sector 2 2.995 6 Other 35 33.393 99 Not stated 0 0 Sysmiss 846 880.954 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+ 290 268.332 2832 2853.668 Sector of employment (i.e. private versus public sector workers) in the main job of the first spouse. 1 Government 125 109.484 2 Public sector 0 0 3 Private sector 139 133.82 4 Joint/Cooperative 2 1.839 5 Foreign sector 0 0 6 Other 24 23.19 99 Not stated 0 0 Sysmiss 2832 2853.668 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+ 2 1.238 3120 3120.762 Sector of employment (i.e. private versus public sector workers) in the main job of the second spouse. 1 Government 1 0.95 2 Public sector 0 0 3 Private sector 1 0.289 4 Joint/Cooperative 0 0 5 Foreign sector 0 0 6 Other 0 0 99 Not stated 0 0 Sysmiss 3120 3120.762 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Sector of employment of the main job of the head [Detailed version] Employed Heads aged 7+ 2276 2241.046 846 880.954 110 660 Sector of employment of the head [Detailed version] 100 Government 0 0 110 Government-National 429 428.787 120 Government-Foreign 4 5.732 130 Government-Federal 0 0 140 Government-Local 21 18.201 200 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 785 805.793 322 Private-National outside establishment 548 528.752 330 Private-Foreign 0 0 331 Private-Foreign inside establishment 214 191.194 332 Private-Foreign outside establishment 234 223.29 340 Private-Inside establishment 0 0 350 Private-Outside establishment 0 0 360 Private-Families 4 2.91 400 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 2 2.995 510 Diplomatic bodies 0 0 600 Others 0 0 610 Non-governmental organizations 0 0 620 Non-profit associations 0 0 630 Charitable associations 9 8.329 640 Outside establishment 0 0 650 Outside the country 0 0 660 UNRWA 26 25.064 999 Not stated 0 0 Sector of employment of the main job of the first spouse [Detailed version] Employed Spouses aged 7+ 290 268.332 2832 2853.668 110 660 Sector of employment of the first spouse [Detailed version] 100 Government 0 0 110 Government-National 124 108.088 120 Government-Foreign 1 1.397 130 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 87 85.711 322 Private-National outside establishment 9 5.241 330 Private-Foreign 0 0 331 Private-Foreign inside establishment 7 11.69 332 Private-Foreign outside establishment 1 0.673 340 Private-Inside establishment 0 0 350 Private-Outside establishment 0 0 360 Private-Families 35 30.504 400 Joint/Cooperative 2 1.839 410 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 2 1.295 640 Outside establishment 0 0 650 Outside the country 0 0 660 UNRWA 22 21.895 999 Not stated 0 0 Sector of employment of the main job of the second spouse [Detailed version] Employed Spouses aged 7+ 2 1.238 3120 3120.762 110 360 Sector of employment of the second spouse [Detailed version] 100 Government 0 0 110 Government-National 1 0.95 120 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 1 0.289 400 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 Source of income Data Dictionary & Questionnaire/Codebook All households 3105 3105.893 17 16.107 10 50 Source of income 10 Household business 309 292.574 20 Salaries and wages 2080 2022.397 30 Remittances from country or abroad 352 415.468 40 Pensions 217 214.753 50 Other 147 160.701 Type of dwelling [Standardized version] Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 Type of dwelling [Standardized version] 1 1535 1413.227 2 15 16.136 3 1542 1653.915 4 30 38.723 Type of dwelling [Detailed version] Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 100 450 202.383 210.516 101.685 101.753 Type of dwelling [Detailed version] Tenure of dwelling [Standardized version] Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 Tenure of dwelling [Standardized version] 1 180 211.433 2 2497 2436.509 3 445 474.058 Tenure of dwelling [Detailed version] Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 110 330 221.4 221.573 49.894 52.087 Tenure of dwelling [Detailed version] Number of rooms Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 Number of rooms excluding bathroom and kitchen 1 86 96 2 486 509.759 3 1171 1194.962 4 958 920.906 5 320 299.805 6 66 66.656 7 17 18.622 8 12 9.954 9 3 2.576 10 2 1.454 14 1 1.307 Electrified Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 Electrified 0 19 29.115 1 3103 3092.885 Source of energy for cooking Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Source of energy for cooking 1 32 33.828 2 3036 3031.913 4 53 55.388 Sysmiss 1 0.871 Water facilities Data Dictionary & Questionnaire/Codebook All households 3122 3122 0 0 Water facilities 1 2977 2953.873 3 121 135.481 4 23 31.655 5 1 0.99 Have a bathroom or not Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Have a bathroom or not 0 No 77 52.262 1 Yes, have a bathroom 3044 3068.867 Sysmiss 1 0.871 Transportation facilities Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 Transportation facilities 1 500m or Less 2329 2422.241 2 501m -3000m 685 599.288 3 More than 3000m 88 80.732 9 4 4.421 Sysmiss 16 15.318 Schooling facilities Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 Schooling facilities 1 500m or Less 1373 1426.1 2 501m -3000m 1632 1577.399 3 More than 3000m 65 71.239 9 36 31.945 Sysmiss 16 15.318 Health facilities Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 Health facilities 1 500m or Less 1811 1899.003 2 501m -3000m 1211 1098.12 3 More than 3000m 83 108.116 9 1 1.443 Sysmiss 16 15.318 Number of cars Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of cars 0 2226 2265.126 1 861 812.093 2 32 41.463 3 2 2.446 Sysmiss 1 0.871 Number of cookers, stoves, ovens, etc... Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of cookers, stoves, ovens, etc... 0 142 162.912 1 2958 2939.445 2 21 18.772 Sysmiss 1 0.871 Number of refrigerators Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of refrigerators 0 72 94.231 1 3033 3012.914 2 14 11.37 3 1 1.307 4 1 1.307 Sysmiss 1 0.871 Number of freezers Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of freezers 0 2547 2553.622 1 572 565.375 2 2 2.132 Sysmiss 1 0.871 Number of vacuum cleaners Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of vacuum cleaners 0 1748 1761.503 1 1369 1354.793 2 2 2.572 3 1 1.307 8 1 0.955 Sysmiss 1 0.871 Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 0 1891 1989.383 1 1228 1130.445 2 2 1.301 Sysmiss 1 0.871 Number of washing machines Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of washing machines 0 99 117.945 1 3009 2993.176 2 12 9.595 3 1 0.412 Sysmiss 1 0.871 Number of clothes dryers Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of clothes dryers 0 2925 2863.156 1 193 254.945 2 3 3.028 Sysmiss 1 0.871 Number of dishwashers Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of dishwashers 0 2927 2896.071 1 190 219.835 2 3 3.861 7 1 1.362 Sysmiss 1 0.871 Number of water filters Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of water filters 0 2939 2898.737 1 178 216.736 2 1 0.741 7 1 1.244 8 2 3.669 Sysmiss 1 0.871 Number of LCDs or LEDs Tvs Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of LCDs or LEDs Tvs 0 828 919.607 1 2132 2062.943 2 128 110.992 3 25 20.599 4 6 4.738 5 1 1.326 6 1 0.924 Sysmiss 1 0.871 Number of TVs Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of TVs 0 2372 2317.993 1 742 797.073 2 5 4.293 3 1 1.089 8 1 0.68 Sysmiss 1 0.871 Number of satellite dishes, receivers, etc… Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of satellite dishes, receivers 0 268 306.022 1 2839 2798.254 2 13 15.526 5 1 1.326 Sysmiss 1 0.871 Number of electric fans Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of electric fans 0 450 483.028 1 1842 1889.219 2 578 543.948 3 166 132.803 4 65 57.019 5 13 8.088 6 5 4.815 7 1 1.468 9 1 0.741 Sysmiss 1 0.871 Number of air conditioners Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of air conditioners 0 2113 2277.277 1 821 711.615 2 135 100.707 3 33 17.524 4 10 5.671 5 4 3.974 6 2 2.556 8 3 1.805 Sysmiss 1 0.871 Number of centeral air conditioners Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of centeral air conditioners 0 3101 3085.639 1 15 29.694 7 1 1.362 8 4 4.434 Sysmiss 1 0.871 Number of centeral heaters Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of centeral heaters 0 3103 3090.248 1 17 30.43 8 1 0.45 Sysmiss 1 0.871 Number of Land lines Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of Land lines 0 2188 2235.772 1 931 884.029 2 2 1.327 Sysmiss 1 0.871 Number of home libraries Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of home libraries 0 2703 2689.767 1 415 428.052 8 3 3.31 Sysmiss 1 0.871 Number of local internet connections Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of local internet connections 0 1090 1127.174 1 1912 1878.178 2 90 90.714 3 17 14.829 4 8 6.475 5 2 2.727 6 2 1.031 Sysmiss 1 0.871 Number of Israeli internet connections Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of Israeli internet connections 0 2629 2648.323 1 421 413.419 2 46 37.341 3 14 12.647 4 11 9.398 Sysmiss 1 0.871 Number of local cell phones Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of local cell phones 0 226 255.039 1 383 417.938 2 1227 1244.408 3 483 464.35 4 412 396.444 5 226 198.011 6 105 89.973 7 35 33.37 8 18 16.331 9 6 5.264 Sysmiss 1 0.871 Number of Israeli cell phones Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of Israeli cell phones 0 2300 2363.999 1 506 453.279 2 213 198.205 3 51 44.56 4 39 37.5 5 4 10.214 6 2 1.2 7 2 7.714 8 4 4.459 Sysmiss 1 0.871 Number of computers Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of computers 0 2823 2805.762 1 291 307.942 2 6 5.757 3 1 1.667 Sysmiss 1 0.871 Number of laptops Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of laptops 0 2305 2286.874 1 734 741.368 2 61 71.085 3 14 15.845 4 5 4.769 5 1 1.014 7 1 0.174 Sysmiss 1 0.871 Number of smart phones Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of smart phones 0 290 311.822 1 486 553.87 2 1238 1217.756 3 446 431.404 4 365 329.237 5 189 179.974 6 60 47.649 7 30 35.828 8 13 10.06 9 4 3.528 Sysmiss 1 0.871 Number of tablets Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of tablets 0 2728 2691.389 1 348 384.318 2 36 34.103 3 7 8.65 4 1 1.307 7 1 1.362 Sysmiss 1 0.871 Number of WIFI Batteries Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of WIFI Batteries 0 2814 2724.872 1 306 395.052 2 1 1.204 Sysmiss 1 0.871 Number of UPS Batteries Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of UPS Batteries 0 2961 2893.312 1 158 225.304 3 1 1.265 5 1 1.249 Sysmiss 1 0.871 Number of electric generators Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of electric generators 0 3026 2990.891 1 95 130.238 Sysmiss 1 0.871 Number of solar units Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of solar units 0 2988 2944.734 1 128 170 2 2 2.525 4 1 1.162 6 1 1.512 8 1 1.195 Sysmiss 1 0.871 Number of solar heaters Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of solar heaters 0 1438 1437.347 1 1681 1681.66 2 2 2.123 Sysmiss 1 0.871 Number of Video/ DVD's Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Number of Video/ DVD's 0 3000 2973.112 1 117 144.269 2 4 3.748 Sysmiss 1 0.871 Toilet facility Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 Toilet facility 1 1646 1804.914 2 1474 1315.341 3 1 0.874 Sysmiss 1 0.871 Garbage disposal method Data Dictionary & Questionnaire/Codebook All households 3121 3121.129 1 0.871 110 700 191.615 185.942 68.115 63.956 Garbage disposal method Planting land Data Dictionary & Questionnaire/Codebook All households 3107 3108.596 15 13.404 Planting land 0 2613 2676.361 1 494 432.235 Sysmiss 15 13.404 Area of planting land Data Dictionary & Questionnaire/Codebook All households 2892 230 0 1500000 1777.99 38717.906 Area of planting land Has livestock Data Dictionary & Questionnaire/Codebook All households 3107 15 Has livestock 0 None 2935 1 Own one or many 172 Sysmiss 15 Number of livestock Data Dictionary & Questionnaire/Codebook All households 3107 15 0 20000 18.103 525.191 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 3119 3120.733 3 1.267 During the first half of 2018, did the HH or any member of HH received any type of assistance 1 Yes 1186 1276.42 2 No 1933 1844.313 Sysmiss 3 1.267 Data Dictionary & Questionnaire/Codebook All households 1186 1276.42 1936 1845.58 1 food 742 836.562 2 Free medicine\ health treatment 8 6.575 3 Clothes 3 3.62 4 Job opportunities 2 2.721 5 Compensation martyrs/injuries 2 2.767 6 Cash 216 218.651 7 Health insurance 8 6.713 8 food parcels/coupons 153 139.613 9 Vouchers 50 57.334 10 School feeding 0 0 11 0 0 12 Drinking water 0 0 13 electric recharge fees 1 1.44 14 residential (shelter, rental fees, caravans) 1 0.424 15 Other 0 0 Sysmiss 1936 1845.58 Data Dictionary & Questionnaire/Codebook All households 1186 1276.42 1936 1845.58 0 9999 566.989 582.652 649.14 590.064 Data Dictionary & Questionnaire/Codebook All households 1186 1276.42 1936 1845.58 1 Ministry of Social Development 135 135.936 2 Other PA agencies 178 149.724 3 Political parties 47 46.024 4 Zakat 11 10.873 5 International /developmental agencies 71 85.499 6 UNRWA 634 746.489 7 Foreign and Arab countries 8 8.266 8 Charities/religious orgs. 23 20.398 9 Relatives/Family memberss 17 18.284 10 Friends/neighbors/charitable people etc. 33 30.08 11 trade/workers unions 7 7.207 12 National banks 1 1.162 13 local reconciliation Committee 10 6.838 14 Other 11 9.64 Sysmiss 1936 1845.58 Nature of assistance-First assistance Data Dictionary & Questionnaire/Codebook All households 1186 1276.42 1936 1845.58 Nature of assistance-First assistance 1 Periodic 822 979.054 2 Emergency 364 297.366 Sysmiss 1936 1845.58 Data Dictionary & Questionnaire/Codebook All households 1186 1276.42 1936 1845.58 1 Strongly Satisfied 158 183.432 2 Satisfied 814 878.43 3 Not Satisfied 186 188.787 4 Strongly Not satisfied 28 25.771 9 Don't know/No answer 0 0 Sysmiss 1936 1845.58 Reason for dissatisfaction on assistance-First assistance Data Dictionary & Questionnaire/Codebook All households 214 214.558 2908 2907.442 Reason for dissatisfaction on assistance-First assistance 1 because of quantity 105 106.826 2 because of quality 8 10.596 3 because of quantity and quality 65 63.74 4 frequency of receiving assistance 31 27.165 5 other 3 3.262 9 Don't know/No answer 2 2.969 Sysmiss 2908 2907.442 Data Dictionary & Questionnaire/Codebook All households 553 635.893 2569 2486.107 1 food 87 99.935 2 Free medicine\ health treatment 6 6.495 3 Clothes 2 1.708 4 Job opportunities 1 1.48 5 Compensation martyrs/injuries 1 0.306 6 Cash 381 440.169 7 Health insurance 7 7.436 8 food parcels/coupons 37 42.627 9 Vouchers 23 26.251 10 School feeding 0 0 11 0 0 12 Drinking water 0 0 13 electric recharge fees 7 8.531 14 residential (shelter, rental fees, caravans) 0 0 15 Other 1 0.955 Sysmiss 2569 2486.107 Data Dictionary & Questionnaire/Codebook All households 553 635.893 2569 2486.107 25 5040 1004.564 1025.126 766.746 779.577 Data Dictionary & Questionnaire/Codebook All households 553 635.893 2569 2486.107 1 Ministry of Social Development 198 219.991 2 Other PA agencies 142 173.74 3 Political parties 17 20.908 4 Zakat 12 15.648 5 International /developmental agencies 52 61.601 6 UNRWA 47 54.577 7 Foreign and Arab countries 8 8.757 8 Charities/religious orgs. 23 28.451 9 Relatives/Family memberss 23 24.907 10 Friends/neighbors/charitable people etc. 26 24.518 11 trade/workers unions 0 0 12 National banks 0 0 13 local reconciliation Committee 1 1.138 14 Other 4 1.657 Sysmiss 2569 2486.107 Nature of assistance-Second assistance Data Dictionary & Questionnaire/Codebook All households 553 635.893 2569 2486.107 Nature of assistance-Second assistance 1 Periodic 404 466.916 2 Emergency 149 168.977 Sysmiss 2569 2486.107 Data Dictionary & Questionnaire/Codebook All households 553 635.893 2569 2486.107 1 Strongly Satisfied 70 84.8 2 Satisfied 392 449.731 3 Not Satisfied 79 86.814 4 Strongly Not satisfied 12 14.548 9 Don't know/No answer 0 0 Sysmiss 2569 2486.107 Reason for dissatisfaction on assistance-Second assistance Data Dictionary & Questionnaire/Codebook All households 91 101.362 3031 3020.638 Reason for dissatisfaction on assistance-Second assistance 1 because of quantity 31 28.84 2 because of quality 0 0 3 because of quantity and quality 11 12.207 4 frequency of receiving assistance 49 60.315 5 other 0 0 9 Don't know/No answer 0 0 Sysmiss 3031 3020.638 Data Dictionary & Questionnaire/Codebook All households 159 186.975 2963 2935.025 1 food 34 38.952 2 Free medicine\ health treatment 6 7.46 3 Clothes 2 2.595 4 Job opportunities 0 0 5 Compensation martyrs/injuries 1 1.116 6 Cash 56 63.82 7 Health insurance 20 22.731 8 food parcels/coupons 26 32.73 9 Vouchers 8 9.721 10 School feeding 0 0 11 0 0 12 Drinking water 2 2.413 13 electric recharge fees 3 4.074 14 residential (shelter, rental fees, caravans) 0 0 15 Other 1 1.362 Sysmiss 2963 2935.025 Value for the first type of assiatance - Third assistance Data Dictionary & Questionnaire/Codebook All households 159 186.975 2963 2935.025 0 4400 606.226 607.338 802.843 816 Value for the first type of assiatance - Third assistance Data Dictionary & Questionnaire/Codebook All households 159 186.975 2963 2935.025 1 Ministry of Social Development 55 60.06 2 Other PA agencies 18 23.066 3 Political parties 7 8.951 4 Zakat 17 21.818 5 International /developmental agencies 9 10.904 6 UNRWA 9 10.524 7 Foreign and Arab countries 2 1.554 8 Charities/religious orgs. 20 24.301 9 Relatives/Family memberss 12 14.898 10 Friends/neighbors/charitable people etc. 10 10.899 11 trade/workers unions 0 0 12 National banks 0 0 13 local reconciliation Committee 0 0 14 Other 0 0 Sysmiss 2963 2935.025 Nature of assistance-Third assistance Data Dictionary & Questionnaire/Codebook All households 159 186.975 2963 2935.025 Nature of assistance-Third assistance 1 Periodic 92 105.763 2 Emergency 67 81.212 Sysmiss 2963 2935.025 Data Dictionary & Questionnaire/Codebook All households 159 186.975 2963 2935.025 1 Strongly Satisfied 16 21.356 2 Satisfied 136 157.616 3 Not Satisfied 6 6.164 4 Strongly Not satisfied 1 1.839 9 Don't know/No answer 0 0 Sysmiss 2963 2935.025 Reason for dissatisfaction on assistance-Third assistance Data Dictionary & Questionnaire/Codebook All households 7 8.003 3115 3113.997 Reason for dissatisfaction on assistance-Third assistance 1 because of quantity 0 0 2 because of quality 1 1.839 3 because of quantity and quality 2 1.757 4 frequency of receiving assistance 4 4.407 5 other 0 0 9 Don't know/No answer 0 0 Sysmiss 3115 3113.997 Data Dictionary & Questionnaire/Codebook All households 38 46.172 3084 3075.828 1 food 4 5.296 2 Free medicine\ health treatment 2 2.805 3 Clothes 0 0 4 Job opportunities 1 1.591 5 Compensation martyrs/injuries 0 0 6 Cash 15 18.347 7 Health insurance 1 0.958 8 food parcels/coupons 7 8.178 9 Vouchers 4 4.95 10 School feeding 0 0 11 0 0 12 Drinking water 1 1.362 13 electric recharge fees 2 1.785 14 residential (shelter, rental fees, caravans) 0 0 15 Other 1 0.901 Sysmiss 3084 3075.828 Value for the first type of assiatance - Fourth assistance Data Dictionary & Questionnaire/Codebook All households 38 46.172 3084 3075.828 50 6000 723.421 807.601 1075.65 1186.686 Value for the first type of assiatance - Fourth assistance Source of the first type of assistance - Fourth assistance Data Dictionary & Questionnaire/Codebook All households 38 46.172 3084 3075.828 Source of the first type of assistance - Fourth assistance 1 Ministry of Social Development 3 3.201 2 Other PA agencies 7 9.862 3 Political parties 2 2.308 4 Zakat 5 7.503 5 International /developmental agencies 1 1.266 6 UNRWA 2 2.457 7 Foreign and Arab countries 1 0.97 8 Charities/religious orgs. 8 8.647 9 Relatives/Family memberss 4 3.989 10 Friends/neighbors/charitable people etc. 5 5.968 11 trade/workers unions 0 0 12 National banks 0 0 13 local reconciliation Committee 0 0 14 Other 0 0 Sysmiss 3084 3075.828 Nature of assistance-Fourth assistance Data Dictionary & Questionnaire/Codebook All households 38 46.172 3084 3075.828 Nature of assistance-Fourth assistance 1 Periodic 17 21.482 2 Emergency 21 24.69 Sysmiss 3084 3075.828 Data Dictionary & Questionnaire/Codebook All households 38 46.172 3084 3075.828 1 Strongly Satisfied 7 9.003 2 Satisfied 31 37.17 3 Not Satisfied 0 0 4 Strongly Not satisfied 0 0 9 Don't know/No answer 0 0 Sysmiss 3084 3075.828 Data Dictionary & Questionnaire/Codebook All households 6 7.491 3116 3114.509 1 food 3 3.528 2 Free medicine\ health treatment 0 0 3 Clothes 0 0 4 Job opportunities 0 0 5 Compensation martyrs/injuries 0 0 6 Cash 2 2.371 7 Health insurance 0 0 8 food parcels/coupons 1 1.591 9 Vouchers 0 0 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 3116 3114.509 Data Dictionary & Questionnaire/Codebook All households 6 7.491 3116 3114.509 30 2000 451.667 442.61 761.483 757.404 Data Dictionary & Questionnaire/Codebook All households 6 7.491 3116 3114.509 1 Ministry of Social Development 0 0 2 Other PA agencies 1 1.266 3 Political parties 0 0 4 Zakat 1 1.591 5 International /developmental agencies 0 0 6 UNRWA 0 0 7 Foreign and Arab countries 0 0 8 Charities/religious orgs. 1 1.105 9 Relatives/Family memberss 0 0 10 Friends/neighbors/charitable people etc. 3 3.528 11 trade/workers unions 0 0 12 National banks 0 0 13 local reconciliation Committee 0 0 14 Other 0 0 Sysmiss 3116 3114.509 Nature of assistance-Fifth assistance Data Dictionary & Questionnaire/Codebook All households 6 7.491 3116 3114.509 Nature of assistance-Fifth assistance 1 Periodic 2 2.371 2 Emergency 4 5.119 Sysmiss 3116 3114.509 Data Dictionary & Questionnaire/Codebook All households 6 7.491 3116 3114.509 1 Strongly Satisfied 2 2.371 2 Satisfied 4 5.119 3 Not Satisfied 0 0 4 Strongly Not satisfied 0 0 9 Don't know/No answer 0 0 Sysmiss 3116 3114.509 Data Dictionary & Questionnaire/Codebook All households 3 4.288 3119 3117.712 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 2 3.183 7 Health insurance 0 0 8 food parcels/coupons 1 1.105 9 Vouchers 0 0 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 3119 3117.712 Value for the first type of assiatance - Sixth assistance Data Dictionary & Questionnaire/Codebook All households 3 4.288 3119 3117.712 50 1800 816.667 903.538 894.893 823.68 Value for the first type of assiatance - Sixth assistance Source of the first type of assistance- Sixth assistance Data Dictionary & Questionnaire/Codebook All households 3 4.288 3119 3117.712 Source of the first type of assistance- Sixth assistance 1 Ministry of Social Development 1 1.591 2 Other PA agencies 0 0 3 Political parties 0 0 4 Zakat 0 0 5 International /developmental agencies 0 0 6 UNRWA 0 0 7 Foreign and Arab countries 0 0 8 Charities/religious orgs. 1 1.105 9 Relatives/Family memberss 0 0 10 Friends/neighbors/charitable people etc. 1 1.591 11 trade/workers unions 0 0 12 National banks 0 0 13 local reconciliation Committee 0 0 14 Other 0 0 Sysmiss 3119 3117.712 Nature of assistance-Sixth assistance Data Dictionary & Questionnaire/Codebook All households 3 4.288 3119 3117.712 Nature of assistance-Sixth assistance 1 Periodic 2 3.183 2 Emergency 1 1.105 Sysmiss 3119 3117.712 Data Dictionary & Questionnaire/Codebook All households 3 4.288 3119 3117.712 1 Strongly Satisfied 1 1.105 2 Satisfied 2 3.183 3 Not Satisfied 0 0 4 Strongly Not satisfied 0 0 9 Don't know/No answer 0 0 Sysmiss 3119 3117.712 Data Dictionary & Questionnaire/Codebook All households 3 4.288 3119 3117.712 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 1 1.105 7 Health insurance 1 1.591 8 food parcels/coupons 0 0 9 Vouchers 0 0 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 1 1.591 Sysmiss 3119 3117.712 Value for the first type of assiatance - Seventh assistance Data Dictionary & Questionnaire/Codebook All households 3 4.288 3119 3117.712 50 3000 1133.333 1222.094 1623.525 1565.358 Value for the first type of assiatance - Seventh assistance Source of the first type of assistance - Seventh assistance Data Dictionary & Questionnaire/Codebook All households 3 4.288 3119 3117.712 Source of the first type of assistance - Seventh assistance 1 Ministry of Social Development 1 1.591 2 Other PA agencies 1 1.105 3 Political parties 0 0 4 Zakat 0 0 5 International /developmental agencies 0 0 6 UNRWA 0 0 7 Foreign and Arab countries 0 0 8 Charities/religious orgs. 1 1.591 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 3119 3117.712 Nature of assistance-Seventh assistance Data Dictionary & Questionnaire/Codebook All households 3 4.288 3119 3117.712 Nature of assistance-Seventh assistance 1 Periodic 2 2.697 2 Emergency 1 1.591 Sysmiss 3119 3117.712 Data Dictionary & Questionnaire/Codebook All households 3 4.288 3119 3117.712 1 Strongly Satisfied 1 1.591 2 Satisfied 2 2.697 3 Not Satisfied 0 0 4 Strongly Not satisfied 0 0 9 Don't know/No answer 0 0 Sysmiss 3119 3117.712 Asked for HH who did not receive any assistance during the first half of 2018. Data Dictionary & Questionnaire/Codebook All households 1932 1843.45 1190 1278.55 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 1382 1327.408 2 We applied and didn't get any due to living in remote area 38 39.025 3 We applied and didn't get any due to living in rich area 11 12.105 4 We applied and didn't get any due to a political reason 8 10.731 5 We applied and didn't get any due to not meeting the criteri 80 84.785 6 We applied and didn't get any due to lack of funding 37 48.376 7 66 64.89 8 We applied and didn't get any we don't know why 303 248.751 9 Other 7 7.379 Sysmiss 1190 1278.55 Regardless if your HH received assistance or not, would you say that your HH is Data Dictionary & Questionnaire/Codebook All households 3118 3119.87 4 2.13 Regardless if your HH received assistance or not, would you say that your HH is in need of assistance 1 Yes, a lot 907 945.001 2 Yes, somewhat 951 958.446 3 No, we do not need assistance 1260 1216.423 Sysmiss 4 2.13 Cash Data Dictionary & Questionnaire/Codebook All households 1858 1903.447 1264 1218.553 Cash 1 Yes 1705 1746.896 2 No 153 156.551 Sysmiss 1264 1218.553 Food Data Dictionary & Questionnaire/Codebook All households 1858 1903.447 1264 1218.553 Food 1 Yes 1166 1243.018 2 No 692 660.428 Sysmiss 1264 1218.553 Health Insurance Data Dictionary & Questionnaire/Codebook All households 1858 1903.447 1264 1218.553 Health Insurance 1 Yes 459 481.056 2 No 1399 1422.391 Sysmiss 1264 1218.553 Provision for disabled Data Dictionary & Questionnaire/Codebook All households 1858 1903.447 1264 1218.553 Provision for disabled 1 Yes 113 113.526 2 No 1745 1789.921 Sysmiss 1264 1218.553 Provision for elderly Data Dictionary & Questionnaire/Codebook All households 1858 1903.447 1264 1218.553 Provision for elderly 1 Yes 178 166.575 2 No 1680 1736.872 Sysmiss 1264 1218.553 Provisions for orphans Data Dictionary & Questionnaire/Codebook All households 1858 1903.447 1264 1218.553 Provisions for orphans 1 Yes 29 29.115 2 No 1829 1874.332 Sysmiss 1264 1218.553 Social interventions with family Data Dictionary & Questionnaire/Codebook All households 1858 1903.447 1264 1218.553 Social interventions with family 1 Yes 92 83.624 2 No 1766 1819.822 Sysmiss 1264 1218.553 Exemption of school fees Data Dictionary & Questionnaire/Codebook All households 1858 1903.447 1264 1218.553 Exemption of school fees 1 Yes 276 280.927 2 No 1582 1622.519 Sysmiss 1264 1218.553 Emergency assistance Data Dictionary & Questionnaire/Codebook All households 1858 1903.447 1264 1218.553 Emergency assistance 1 Yes 716 776.072 2 No 1142 1127.375 Sysmiss 1264 1218.553 Job opportunity Data Dictionary & Questionnaire/Codebook All households 1858 1903.447 1264 1218.553 Job opportunity 1 Yes 810 871 2 No 1048 1032.447 Sysmiss 1264 1218.553 Training Data Dictionary & Questionnaire/Codebook All households 1858 1903.447 1264 1218.553 Training 1 Yes 194 224.123 2 No 1664 1679.323 Sysmiss 1264 1218.553 Project Assistance Data Dictionary & Questionnaire/Codebook All households 1858 1903.447 1264 1218.553 Project Assistance 1 Yes 866 900.664 2 No 992 1002.783 Sysmiss 1264 1218.553 Exemption of customs Data Dictionary & Questionnaire/Codebook All households 1858 1903.447 1264 1218.553 Exemption of customs 1 Yes 27 31.66 2 No 1831 1871.787 Sysmiss 1264 1218.553 Housing assistance Data Dictionary & Questionnaire/Codebook All households 1858 1903.447 1264 1218.553 Housing assistance 1 Yes 508 525.304 2 No 1350 1378.142 Sysmiss 1264 1218.553 Other/ Specify.... Data Dictionary & Questionnaire/Codebook All households 1858 1903.447 1264 1218.553 Other/ Specify.... 1 Yes 83 70.44 2 No 1775 1833.007 Sysmiss 1264 1218.553 Regardless if your HH received assistance or not, in general, to what extent tha Data Dictionary & Questionnaire/Codebook All households 3118 3119.87 4 2.13 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 397 405.98 2 Assistance primarily targets the needy, but often others who 1362 1388.788 3 In general, assistance is distributed without any distinctio 995 970.082 9 Don't know/No answer 364 355.019 Sysmiss 4 2.13 How many times Did you worry that your household would would not have enough food? Data Dictionary & Questionnaire/Codebook All households 3118 3119.87 4 2.13 During the past 30 days, How many times Did you worry that your household would would not have enough food? 0 None 1871 1798.319 1 once or twice 509 508.739 2 3 to 10 times 422 461.815 3 more than 10 times 314 343.59 9 Don't know/No answer 2 7.406 Sysmiss 4 2.13 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 3118 3119.87 4 2.13 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 1822 1778.86 1 once or twice 544 542.363 2 3 to 10 times 483 497.186 3 more than 10 times 265 292.358 9 Don't know/No answer 4 9.103 Sysmiss 4 2.13 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 3118 3119.87 4 2.13 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 1873 1812.289 1 once or twice 487 499.608 2 3 to 10 times 520 543.754 3 more than 10 times 236 256.814 9 Don't know/No answer 2 7.406 Sysmiss 4 2.13 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 3118 3119.87 4 2.13 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 1914 1858.347 1 once or twice 493 516.213 2 3 to 10 times 498 510.257 3 more than 10 times 211 227.646 9 Don't know/No answer 2 7.406 Sysmiss 4 2.13 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 3118 3119.87 4 2.13 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 2262 2160.925 1 once or twice 384 423.071 2 3 to 10 times 322 359.606 3 more than 10 times 147 167.418 9 Don't know/No answer 3 8.849 Sysmiss 4 2.13 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 3118 3119.87 4 2.13 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 2338 2235.47 1 once or twice 337 376.587 2 3 to 10 times 307 348.867 3 more than 10 times 133 150.097 9 Don't know/No answer 3 8.849 Sysmiss 4 2.13 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 3118 3119.87 4 2.13 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 2583 2531.088 1 once or twice 296 324.629 2 3 to 10 times 158 166.908 3 more than 10 times 78 88.396 9 Don't know/No answer 3 8.849 Sysmiss 4 2.13 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 3118 3119.87 4 2.13 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 2861 2809.53 1 once or twice 156 184.658 2 3 to 10 times 65 77.168 3 more than 10 times 31 37.381 9 Don't know/No answer 5 11.133 Sysmiss 4 2.13 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 3118 3119.87 4 2.13 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 2913 2867.402 1 once or twice 121 144.221 2 3 to 10 times 58 70.996 3 more than 10 times 22 27.177 9 Don't know/No answer 4 10.073 Sysmiss 4 2.13 During the past 12 months, has the HH obtained loans/ advances/ debt? Data Dictionary & Questionnaire/Codebook All households 3117 5 During the past 12 months, has the HH obtained loans/ advances/ debt? 1 Yes 1082 2 No 2029 4 no answer 1 9 I don’t know 5 Sysmiss 5 What is the value of the each of the loans in NIS Data Dictionary & Questionnaire/Codebook All households 1082 2040 0 999999 11130.323 36115.398 What is the value of the each of the loans in NIS What is the value of the each of the loans in NIS- Loans and advances from government Data Dictionary & Questionnaire/Codebook All households 1082 1063.443 2040 2058.557 0 999999 1315.249 1417.204 30559.415 32377.904 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 1082 1063.443 2040 2058.557 0 270000 2852.772 2092.569 16564.512 13212.039 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 1082 1063.443 2040 2058.557 0 105000 1109.298 950.801 7124.389 7206.011 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 1082 1063.443 2040 2058.557 0 140000 6674.066 6540.507 12141.048 12704.276 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 1082 1063.443 2040 2058.557 0 42000 155.006 149.553 1690.714 1574.944 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 1082 1063.443 2040 2058.557 Was the loans money used to spend - Living or food 1 Yes 799 812.724 2 No 282 249.323 9 Don't know 1 1.397 Sysmiss 2040 2058.557 Was the loans money used to spend - Construction / expansion of housing / mainte Data Dictionary & Questionnaire/Codebook All households 1082 1063.443 2040 2058.557 Was the loans money used to spend - Construction / expansion of housing / mainte 1 Yes 168 175.738 2 No 914 887.704 9 Don't know 0 0 Sysmiss 2040 2058.557 Was the loans money used to spend - Marriage of a family member Data Dictionary & Questionnaire/Codebook All households 1082 1063.443 2040 2058.557 Was the loans money used to spend - Marriage of a family member 1 Yes 73 72.722 2 No 1006 988.915 9 Don't know 3 1.806 Sysmiss 2040 2058.557 Was the loans money used to spend - Purchase of furniture or equipment Data Dictionary & Questionnaire/Codebook All households 1082 1063.443 2040 2058.557 Was the loans money used to spend - Purchase of furniture or equipment 1 Yes 68 69.265 2 No 1013 992.781 9 Don't know 1 1.397 Sysmiss 2040 2058.557 Was the loans money used to spend - Teach a family member Data Dictionary & Questionnaire/Codebook All households 1082 1063.443 2040 2058.557 Was the loans money used to spend - Teach a family member 1 Yes 163 168.094 2 No 903 880.271 9 Don't know 16 15.078 Sysmiss 2040 2058.557 Was the loans money used to spend - Buy / expand Real Estate Data Dictionary & Questionnaire/Codebook All households 1082 1063.443 2040 2058.557 Was the loans money used to spend - Buy / expand Real Estate 1 Yes 16 12.016 2 No 1063 1047.803 9 Don't know 3 3.624 Sysmiss 2040 2058.557 Was the loans money used to spend - Buy a car Data Dictionary & Questionnaire/Codebook All households 1082 1063.443 2040 2058.557 Was the loans money used to spend - Buy a car 1 Yes 31 22.2 2 No 1047 1037.33 9 Don't know 4 3.913 Sysmiss 2040 2058.557 Was the loans money used to spend - Other Data Dictionary & Questionnaire/Codebook All households 1082 1063.443 2040 2058.557 Was the loans money used to spend - Other 1 Yes 345 360.36 2 No 733 699.17 9 Don't know 4 3.913 Sysmiss 2040 2058.557 Was the loans money used to spend - paying a debt Data Dictionary & Questionnaire/Codebook All households 1082 2040 Was the loans money used to spend - paying a debt 1 Yes 196 2 No 880 9 Don’t know 6 Sysmiss 2040 Was the loans money used to spend - Other Data Dictionary & Questionnaire/Codebook All households 1082 2040 Was the loans money used to spend - Other 1 Yes 33 2 No 1045 9 Don’t know 4 Sysmiss 2040 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 3117 3118.402 5 3.598 During the first half of the survey year, did you or any of your HH members witness water shortag 1 Yes 778 872.264 2 No 2339 2246.138 Sysmiss 5 3.598 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 3117 3118.402 5 3.598 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 38 42.052 2 No 3079 3076.35 Sysmiss 5 3.598 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 3117 3118.402 5 3.598 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 43 38.357 2 No 3074 3080.044 Sysmiss 5 3.598 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 3117 3118.402 5 3.598 During the first half of the survey year, did you or any of your HH members witness restrictions to access to land 1 Yes 84 72.443 2 No 3033 3045.959 Sysmiss 5 3.598 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 3117 3118.402 5 3.598 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 294 284.306 2 No 2823 2834.096 Sysmiss 5 3.598 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 3117 3118.402 5 3.598 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 965 890.39 2 No 2152 2228.012 Sysmiss 5 3.598 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 3117 3118.402 5 3.598 During the first half of the survey year, did you or any of your HH members witness death of bread winner 1 Yes 12 11.473 2 No 3105 3106.929 Sysmiss 5 3.598 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 3117 3118.402 5 3.598 During the first half of the survey year, did you or any of your HH members witness crop damage 1 Yes 53 33.458 2 No 3064 3084.943 Sysmiss 5 3.598 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 3117 3118.402 5 3.598 During the first half of the survey year, did you or any of your HH members witness serious sickness 1 Yes 118 115.782 2 No 2999 3002.62 Sysmiss 5 3.598 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 3117 3118.402 5 3.598 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 790 744.578 2 No 2327 2373.824 Sysmiss 5 3.598 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 3117 3118.402 5 3.598 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 253 275.795 2 No 2864 2842.607 Sysmiss 5 3.598 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 3117 3118.402 5 3.598 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 284 270.036 2 No 2833 2848.366 Sysmiss 5 3.598 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 3117 3118.402 5 3.598 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 441 459.605 2 No 2676 2658.797 Sysmiss 5 3.598 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 3117 3118.402 5 3.598 During the first half of the survey year, did you or any of your HH members witness inability to pay for medication 1 Yes 732 784.993 2 No 2385 2333.409 Sysmiss 5 3.598 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 3117 3118.402 5 3.598 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 30 38.024 2 No 3087 3080.378 Sysmiss 5 3.598 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 3117 3118.402 5 3.598 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 45 51.648 2 No 3072 3066.754 Sysmiss 5 3.598 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 3117 3118.402 5 3.598 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 63 68.948 2 No 3054 3049.454 Sysmiss 5 3.598 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 3117 3118.402 5 3.598 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 45 36.351 2 No 3072 3082.051 Sysmiss 5 3.598 During the first half of the survey year, did you or any of your HH members witn Data Dictionary & Questionnaire/Codebook All households 3117 5 During the first half of the survey year, did you or any of your HH members witn 1 Yes 36 2 No 3081 Sysmiss 5 During the first half of the survey year, did you or any of your HH members witn Data Dictionary & Questionnaire/Codebook All households 3117 5 During the first half of the survey year, did you or any of your HH members witn 1 Yes 10 2 No 3107 Sysmiss 5 During the first half of the survey year, did you or any of your HH members witn Data Dictionary & Questionnaire/Codebook All households 3117 5 During the first half of the survey year, did you or any of your HH members witn 1 Yes 11 2 No 3106 Sysmiss 5 During the first half of the survey year, did you or any of your HH members witn Data Dictionary & Questionnaire/Codebook All households 3117 5 During the first half of the survey year, did you or any of your HH members witn 1 Yes 11 2 No 3106 Sysmiss 5 During the first half of the survey year, did you or any of your HH members witn Data Dictionary & Questionnaire/Codebook All households 3117 5 During the first half of the survey year, did you or any of your HH members witn 1 Yes 72 2 No 3045 Sysmiss 5 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 2386 2352 736 770 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 430 495.811 2 assets/project (including land) loss/damage resulting from I 21 15.298 3 assets/project (including land) loss/damage resulting from o 22 21.717 4 restrictions to access to land 38 23.804 5 Inability to pay back a loan/debt 130 119.263 6 Loss of all or total wages/salaries 716 667.448 7 Death of bread winner 11 10.572 8 Crop damage 16 6.064 9 Serious sickness 41 39.811 10 Delay in getting paid a salary 404 374.768 11 Loss of a source of aid/assistance 99 113.711 12 In ability to renew work permit 151 148.734 13 In ability to attend for health treatment due to lack f medi 93 93.29 14 Inability to pay for medication 130 142.473 15 Inabiluity to leave the country for educational reasons 7 6.673 16 Inabiluity to leave the country for medical treatment reason 11 15.066 17 Inabiluity to leave the country for other reasons 15 12.547 18 Exposure of any hh member to detention, injury or any other 11 7.87 19 11 9.612 20 1 1.397 21 3 3.692 22 4 4.565 23 21 17.815 Sysmiss 736 770 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 1506 1505.748 1616 1616.252 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 152 165.918 2 assets/project (including land) loss/damage resulting from I 8 17.982 3 assets/project (including land) loss/damage resulting from o 9 6.017 4 restrictions to access to land 23 26.65 5 Inability to pay back a loan/debt 94 96.318 6 Loss of all or total wages/salaries 178 158.136 7 Death of bread winner 0 0 8 Crop damage 16 10.143 9 Serious sickness 33 32.548 10 Delay in getting paid a salary 268 254.199 11 Loss of a source of aid/assistance 81 87.401 12 In ability to renew work permit 94 85.147 13 In ability to attend for health treatment due to lack f medi 174 185.537 14 Inability to pay for medication 294 305.198 15 Inabiluity to leave the country for educational reasons 8 8.257 16 Inabiluity to leave the country for medical treatment reason 12 12.024 17 Inabiluity to leave the country for other reasons 17 16.126 18 Exposure of any hh member to detention, injury or any other 14 13.157 19 10 7.945 20 2 1.57 21 3 2.91 22 1 1.282 23 15 11.283 Sysmiss 1616 1616.252 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 786 813.928 2336 2308.072 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 111 121.878 2 assets/project (including land) loss/damage resulting from I 3 2.493 3 assets/project (including land) loss/damage resulting from o 7 5.637 4 restrictions to access to land 11 7.844 5 Inability to pay back a loan/debt 40 42.123 6 Loss of all or total wages/salaries 40 33.165 7 Death of bread winner 0 0 8 Crop damage 7 4.83 9 Serious sickness 11 10.403 10 Delay in getting paid a salary 76 69.136 11 Loss of a source of aid/assistance 38 36.853 12 In ability to renew work permit 25 22.003 13 In ability to attend for health treatment due to lack f medi 94 100.045 14 Inability to pay for medication 253 280.034 15 Inabiluity to leave the country for educational reasons 7 13.724 16 Inabiluity to leave the country for medical treatment reason 9 11.086 17 Inabiluity to leave the country for other reasons 18 20.14 18 Exposure of any hh member to detention, injury or any other 8 4 19 8 8.625 21 2 2.042 22 3 2.851 23 15 15.015 Sysmiss 2336 2308.072 Not to allow any of the females in the family to visit the doctor / relatives / Data Dictionary & Questionnaire/Codebook All households 3117 5 Not to allow any of the females in the family to visit the doctor / relatives / 1 Yes 348 2 No 2622 8 Not applicable 84 9 I don't know 63 Sysmiss 5 Not to allow one of the workers female in the family to have a separate bank acc Data Dictionary & Questionnaire/Codebook All households 3117 5 Not to allow one of the workers female in the family to have a separate bank acc 1 Yes 26 2 No 2174 8 Not applicable 912 9 I don't know 5 Sysmiss 5 Inability of a female to dispose of her own property / income, wage from work, o Data Dictionary & Questionnaire/Codebook All households 3117 5 Inability of a female to dispose of her own property / income, wage from work, o 1 Yes 45 2 No 2624 8 Not applicable 392 9 I don't know 56 Sysmiss 5 A female member of the family was subjected to physical violence by a family mem Data Dictionary & Questionnaire/Codebook All households 3117 5 A female member of the family was subjected to physical violence by a family mem 1 Yes 25 2 No 2964 8 Not applicable 82 9 I don't know 46 Sysmiss 5 Not to allow one of the females in the family to work or search for work due to Data Dictionary & Questionnaire/Codebook All households 3117 5 Not to allow one of the females in the family to work or search for work due to 1 Yes 85 2 No 2724 8 Not applicable 297 9 I don't know 11 Sysmiss 5 Not to allow a female family to enroll in university education due to parent res Data Dictionary & Questionnaire/Codebook All households 3117 5 Not to allow a female family to enroll in university education due to parent res 1 Yes 20 2 No 2409 8 Not applicable 681 9 I don't know 7 Sysmiss 5 Not to allow one of the females in the family to choose the major she wants due Data Dictionary & Questionnaire/Codebook All households 3117 5 Not to allow one of the females in the family to choose the major she wants due 1 Yes 13 2 No 2409 8 Not applicable 686 9 I don't know 9 Sysmiss 5 One of the children in the family was subjected to physical violence from a fami Data Dictionary & Questionnaire/Codebook All households 3117 5 Not to allow one of the females in the family to choose the major she wants due 1 Yes 28 2 No 2711 8 Not applicable 367 9 I don't know 11 Sysmiss 5 Did a family member of school-age face any problems with teachers' incompetence Data Dictionary & Questionnaire/Codebook All households 3117 5 Did a family member of school-age face any problems with teachers' incompetence 1 Yes 259 2 No 1874 8 Not applicable 968 9 Don't know 16 Sysmiss 5 Did a family member of school-age face any problems with lack of textbooks Data Dictionary & Questionnaire/Codebook All households 3117 5 Did a family member of school-age face any problems with lack of textbooks 1 Yes 59 2 No 2081 8 Not applicable 968 9 Don't know 9 Sysmiss 5 Has a family member of school-age experienced any problems with a lack of servic Data Dictionary & Questionnaire/Codebook All households 3117 5 Has a family member of school-age experienced any problems with a lack of servic 1 Yes 143 2 No 1985 8 Not applicable 966 9 Don't know 23 Sysmiss 5 Not pay bills/utilities Data Dictionary & Questionnaire/Codebook All households 3116 3117.199 6 4.801 Not pay bills/utilities 1 Yes 942 993.791 2 No 2164 2113.301 8 Not applicable 7 5.102 9 Don't know 3 5.006 Sysmiss 6 4.801 Number of times Not pay bills/utilities Data Dictionary & Questionnaire/Codebook All households 942 993.791 2180 2128.209 Number of times Not pay bills/utilities 1 631 661.849 2 252 273.708 3 28 28.677 4 8 7.101 5 6 6.45 6 6 5.877 7 2 1.318 10 2 1.495 11 1 1.5 12 3 4.466 30 3 1.351 Sysmiss 2180 2128.209 Is the possibility of future use still exist Not pay bills/utilities Data Dictionary & Questionnaire/Codebook All households 942 993.791 2180 2128.209 Is the possibility of future use still exist Not pay bills/utilities 1 Yes 885 928.532 2 No 57 65.259 Sysmiss 2180 2128.209 Sell off assets jewelry, furniture, productive assets, etc. Data Dictionary & Questionnaire/Codebook All households 3116 3117.199 6 4.801 Sell off assets jewelry, furniture, productive assets, etc. 1 Yes 152 177.545 2 No 2947 2922.355 8 Not applicable 17 17.299 9 Don't know 0 0 Sysmiss 6 4.801 Number of times Sell off assets jewelry, furniture, productive assets, etc. Data Dictionary & Questionnaire/Codebook All households 152 177.545 2970 2944.455 Number of times Sell off assets jewelry, furniture, productive assets, etc. 1 109 123.4 2 36 45.251 3 5 6.356 5 2 2.538 Sysmiss 2970 2944.455 Is the possibility of future use still exist Sell off assets jewelry, furniture, Data Dictionary & Questionnaire/Codebook All households 152 177.545 2970 2944.455 Is the possibility of future use still exist Sell off assets jewelry, furniture, 1 Yes 112 130.82 2 No 40 46.725 Sysmiss 2970 2944.455 Used life savings Data Dictionary & Questionnaire/Codebook All households 3116 3117.199 6 4.801 Used life savings 1 Yes 551 558.651 2 No 2439 2449.364 8 Not applicable 126 109.184 9 Don't know 0 0 Sysmiss 6 4.801 Number of times Used life savings Data Dictionary & Questionnaire/Codebook All households 551 558.651 2571 2563.349 Number of times Used life savings 1 277 280.613 2 137 150.375 3 48 47.203 4 22 22.553 5 24 20.894 6 2 2.88 7 5 4.732 8 6 2.786 10 6 4.782 11 1 0.378 12 3 1.02 14 1 2.425 15 5 4.425 20 5 6.079 30 9 7.508 Sysmiss 2571 2563.349 Is the possibility of future use still exist Used life savings Data Dictionary & Questionnaire/Codebook All households 551 558.651 2571 2563.349 Is the possibility of future use still exist Used life savings 1 Yes 503 509.649 2 No 48 49.002 Sysmiss 2571 2563.349 Sell off productive assets (sewing machine, vehicles, etc.) Data Dictionary & Questionnaire/Codebook All households 3116 3117.199 6 4.801 Sell off productive assets (sewing machine, vehicles, etc.) 1 Yes 8 7.033 2 No 2156 2165.191 8 Not applicable 951 944.382 9 Don't know 1 0.592 Sysmiss 6 4.801 Number of times Sell off productive assets (sewing machine, vehicles, etc.) Data Dictionary & Questionnaire/Codebook All households 8 7.033 3114 3114.967 Number of times Sell off productive assets (sewing machine, vehicles, etc.) 1 8 7.033 Sysmiss 3114 3114.967 Data Dictionary & Questionnaire/Codebook All households 8 7.033 3114 3114.967 1 Yes 5 4.547 2 No 3 2.487 Sysmiss 3114 3114.967 Re-organize the HH members to save money (live or eat together) Data Dictionary & Questionnaire/Codebook All households 3116 3117.199 6 4.801 Re-organize the HH members to save money (live or eat together) 1 Yes 301 266.574 2 No 2760 2791.834 8 Not applicable 55 58.791 9 Don't know 0 0 Sysmiss 6 4.801 Number of times re-organize the HH members to save money (live or eat together) Data Dictionary & Questionnaire/Codebook All households 301 266.574 2821 2855.426 Number of times re-organize the HH members to save money (live or eat together) 1 74 61.808 2 106 105.19 3 28 21.171 4 15 12.646 5 16 14.674 6 3 2.571 7 2 0.929 8 3 2.02 9 3 1.076 10 20 13.142 12 2 2.013 15 6 4.838 18 1 0.821 20 8 7.601 25 4 4.04 30 10 12.032 Sysmiss 2821 2855.426 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 301 266.574 2821 2855.426 Is the possibility of future use still exist re-organize the HH members to save money (live or eat together) 1 Yes 294 262.064 2 No 7 4.51 Sysmiss 2821 2855.426 Reduce HH expenditures on health, education, and clothing. Data Dictionary & Questionnaire/Codebook All households 3116 3117.199 6 4.801 Reduce HH expenditures on health, education, and clothing. 1 Yes 802 798.051 2 No 2249 2259.411 8 Not applicable 64 58.294 9 Don't know 1 1.443 Sysmiss 6 4.801 Number of times Reduce HH expenditures on health, education, and clothing. Data Dictionary & Questionnaire/Codebook All households 802 798.051 2320 2323.949 Number of times Reduce HH expenditures on health, education, and clothing. 1 273 274.278 2 232 240.866 3 110 113.175 4 34 34.335 5 64 57.7 6 11 7.78 7 3 3.044 8 6 3.503 9 2 0.699 10 30 25.789 12 1 1.213 15 7 5.917 20 13 13.427 25 2 3.215 30 14 13.111 Sysmiss 2320 2323.949 Data Dictionary & Questionnaire/Codebook All households 802 798.051 2320 2323.949 1 Yes 784 781.278 2 No 18 16.772 Sysmiss 2320 2323.949 Resorting to agriculture (planting, animal husbandry, fishing) Data Dictionary & Questionnaire/Codebook All households 3116 3117.199 6 4.801 Resorting to agriculture (planting, animal husbandry, fishing) 1 Yes 39 38.471 2 No 1550 1505.638 8 Not applicable 1527 1573.089 9 Don't know 0 0 Sysmiss 6 4.801 Number of times Resorting to agriculture (planting, animal husbandry, fishing) Data Dictionary & Questionnaire/Codebook All households 39 38.471 3083 3083.529 Number of times Resorting to agriculture (planting, animal husbandry, fishing) 1 24 23.291 2 6 6.402 3 2 1.254 5 1 2.132 6 1 0.385 30 5 5.007 Sysmiss 3083 3083.529 Data Dictionary & Questionnaire/Codebook All households 39 38.471 3083 3083.529 Is the possibility of future use still exist Resorting to agriculture (planting, animal husbandry, fishing) 1 Yes 37 36.155 2 No 2 2.317 Sysmiss 3083 3083.529 Looking for secondary job Data Dictionary & Questionnaire/Codebook All households 3116 3117.199 6 4.801 Looking for secondary job 1 Yes 552 521.488 2 No 2415 2438.524 8 Not applicable 148 156.404 9 Don't know 1 0.784 Sysmiss 6 4.801 Number of times looking for secondary job Data Dictionary & Questionnaire/Codebook All households 552 521.488 2570 2600.512 Number of times looking for secondary job 1 145 126.858 2 147 153.604 3 63 59.194 4 23 20.194 5 58 53.121 6 12 12.189 7 5 4.95 8 11 6.73 9 2 0.551 10 40 36.965 12 2 1.713 14 1 1.236 15 9 6.983 20 18 21.807 22 1 1.059 25 1 0.321 26 2 2.898 30 12 11.114 Sysmiss 2570 2600.512 Is the possibility of future use still exist looking for secondary job Data Dictionary & Questionnaire/Codebook All households 552 521.488 2570 2600.512 Is the possibility of future use still exist looking for secondary job 1 Yes 527 489.836 2 No 25 31.651 Sysmiss 2570 2600.512 Taking children out of school Data Dictionary & Questionnaire/Codebook All households 3116 3117.199 6 4.801 Taking children out of school 1 Yes 11 11.463 2 No 2345 2372.103 8 Not applicable 760 733.634 9 Don't know 0 0 Sysmiss 6 4.801 Number of times taking children out of school Data Dictionary & Questionnaire/Codebook All households 11 11.463 3111 3110.537 Number of times taking children out of school 1 8 8.12 3 3 3.343 Sysmiss 3111 3110.537 Is the possibility of future use still exist taking children out of school Data Dictionary & Questionnaire/Codebook All households 11 11.463 3111 3110.537 Is the possibility of future use still exist taking children out of school 1 Yes 9 8.564 2 No 2 2.898 Sysmiss 3111 3110.537 Reducing production costs for example cut on fertilizers etc Data Dictionary & Questionnaire/Codebook All households 3116 3117.199 6 4.801 Reducing production costs for example cut on fertilizers etc 1 Yes 11 10.994 2 No 1371 1347.009 8 Not applicable 1733 1758.361 9 Don't know 1 0.836 Sysmiss 6 4.801 Number of times reducing production costs for example cut on fertilizers etc. Data Dictionary & Questionnaire/Codebook All households 11 10.994 3111 3111.006 Number of times reducing production costs for example cut on fertilizers etc. 1 5 5.449 2 3 2.673 5 3 2.872 Sysmiss 3111 3111.006 Is the possibility of future use still exist reducing production costs for example cut on fertilizers etc Data Dictionary & Questionnaire/Codebook All households 11 10.994 3111 3111.006 Is the possibility of future use still exist reducing production costs for example cut on fertilizers etc 1 Yes 10 10.639 2 No 1 0.354 Sysmiss 3111 3111.006 Selling remaining productive assets such as female goats etc Data Dictionary & Questionnaire/Codebook All households 3116 3117.199 6 4.801 Selling remaining productive assets such as female goats etc 1 Yes 7 15.753 2 No 1160 1161.262 8 Not applicable 1948 1939.125 9 Don't know 1 1.059 Sysmiss 6 4.801 Number of times Selling remaining productive assets such as female goats etc Data Dictionary & Questionnaire/Codebook All households 7 15.753 3115 3106.247 Number of times Selling remaining productive assets such as female goats etc 1 5 13.689 2 1 1.059 10 1 1.004 Sysmiss 3115 3106.247 Data Dictionary & Questionnaire/Codebook All households 7 15.753 3115 3106.247 1 Yes 7 15.753 2 No 0 0 Sysmiss 3115 3106.247 Selling land or housing Data Dictionary & Questionnaire/Codebook All households 3116 3117.199 6 4.801 Selling land or housing 1 Yes 4 3.139 2 No 2589 2563.199 8 Not applicable 522 550.269 9 Don't know 1 0.592 Sysmiss 6 4.801 Number of times Selling land or housing Data Dictionary & Questionnaire/Codebook All households 4 3.139 3118 3118.861 Number of times Selling land or housing 1 4 3.139 Sysmiss 3118 3118.861 Is the possibility of future use still exist Selling land or housing Data Dictionary & Questionnaire/Codebook All households 4 3.139 3118 3118.861 Is the possibility of future use still exist Selling land or housing 1 Yes 2 1.893 2 No 2 1.245 Sysmiss 3118 3118.861 Buy food on credit, borrow food Data Dictionary & Questionnaire/Codebook All households 3116 3117.199 6 4.801 Buy food on credit, borrow food 1 Yes 1155 1206.751 2 No 1932 1880.909 8 Not applicable 28 29.088 9 Don't know 1 0.45 Sysmiss 6 4.801 Number of times Buy food on credit, borrow food Data Dictionary & Questionnaire/Codebook All households 1155 1206.751 1967 1915.249 1 30 7.204 7.334 7.638 7.827 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 1155 1206.751 1967 1915.249 Is the possibility of future use still exist Buy food on credit, borrow food 1 Yes 1125 1179.507 2 No 30 27.244 Sysmiss 1967 1915.249 Borrow money Data Dictionary & Questionnaire/Codebook All households 3116 3117.199 6 4.801 Borrow money 1 Yes 607 662.294 2 No 2481 2428.961 8 Not applicable 26 23.546 9 Don't know 2 2.397 Sysmiss 6 4.801 Data Dictionary & Questionnaire/Codebook All households 607 662.294 2515 2459.706 1 316 323.267 2 156 180.693 3 74 83.613 4 22 27.269 5 26 31.107 6 1 0.836 7 1 1.839 8 2 2.355 10 3 3.486 15 3 3.614 20 2 3.379 30 1 0.836 Sysmiss 2515 2459.706 Data Dictionary & Questionnaire/Codebook All households 607 662.294 2515 2459.706 1 Yes 564 612.402 2 No 43 49.892 Sysmiss 2515 2459.706 Send children to eat somewhere else, eating in groups Data Dictionary & Questionnaire/Codebook All households 3116 3117.199 6 4.801 Send children to eat somewhere else, eating in groups 1 Yes 77 89.903 2 No 2660 2676.335 8 Not applicable 377 348.694 9 Don't know 2 2.268 Sysmiss 6 4.801 Number of times Send children to eat somewhere else, eating in groups Data Dictionary & Questionnaire/Codebook All households 77 89.903 3045 3032.097 Number of times Send children to eat somewhere else, eating in groups 1 19 19.706 2 24 30.456 3 6 7.442 4 8 10.37 5 4 4.794 6 1 0.608 7 2 2.68 8 1 1.48 9 1 1.257 10 5 5.375 15 2 2.463 20 2 1.573 25 1 0.836 30 1 0.863 Sysmiss 3045 3032.097 Is the possibility of future use still exist Send children to eat somewhere else Data Dictionary & Questionnaire/Codebook All households 77 89.903 3045 3032.097 Is the possibility of future use still exist Send children to eat somewhere else, eating in groups 1 Yes 73 85.657 2 No 4 4.246 Sysmiss 3045 3032.097 Change of residence Data Dictionary & Questionnaire/Codebook All households 3116 6 Change of residence 1 Yes 5 2 No 3094 8 Not applicable 17 9 Don't know 0 Sysmiss 6 Number of times Change of residence Data Dictionary & Questionnaire/Codebook All households 5 3117 Number of times Change of residence 1 4 3 1 Sysmiss 3117 Is the possibility of future use still exist Change of residence Data Dictionary & Questionnaire/Codebook All households 5 3117 Is the possibility of future use still exist Change of residence 1 Yes 3 2 No 2 Sysmiss 3117 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 3116 3117.199 6 4.801 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 2397 2313.214 1 222 232.127 2 249 281.497 3 110 129.815 4 47 54.909 5 23 26.786 6 15 16.975 7 53 61.875 Sysmiss 6 4.801 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 3116 3117.199 6 4.801 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 2460 2389.369 1 207 219.324 2 233 262.053 3 112 128.097 4 31 37.17 5 17 19.683 6 13 13.991 7 43 47.512 Sysmiss 6 4.801 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 3116 3117.199 6 4.801 During the last 7 days, when the household did not have enough food, how many times did you buy low quality of food? 0 2003 1970.873 1 456 457.727 2 326 331.324 3 202 218.24 4 60 66.209 5 29 29.462 6 10 11.742 7 30 31.624 Sysmiss 6 4.801 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 3116 3117.199 6 4.801 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 2423 2344.963 1 219 235.079 2 217 242.126 3 138 157.024 4 48 56.801 5 21 24.807 6 8 9.036 7 42 47.364 Sysmiss 6 4.801 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 3116 3117.199 6 4.801 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 2549 2473.185 1 204 228.073 2 170 192.908 3 79 90.337 4 49 59.095 5 13 14.999 6 5 5.62 7 47 52.981 Sysmiss 6 4.801 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 3116 3117.199 6 4.801 During the last 7 days, when the household did not have enough food, how many times did you stop eating expensive food? 0 1886 1886.968 1 309 321.293 2 382 354.424 3 208 205.255 4 104 106.97 5 58 60.663 6 40 45.388 7 129 136.239 Sysmiss 6 4.801 What is the average HH monthly expenditure on food (NIS) during first half of the survey year? Data Dictionary & Questionnaire/Codebook All households 3110 3108.794 12 13.206 0 6000 1213.9 1184.457 803.925 835.059 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 3110 3108.794 12 13.206 0 3000 184.918 182.451 252.811 241.176 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 3110 3108.794 12 13.206 0 30000 214.284 245.963 905.748 884.509 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 3110 3108.794 12 13.206 0 1000 42.15 43.479 72.584 72.138 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 3110 3108.794 12 13.206 0 1200 124.684 122.802 101.865 103.78 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 3110 3108.794 12 13.206 0 20000 198.532 186.822 474.117 365.606 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 3110 3108.794 12 13.206 0 5000 337.517 328.621 435.341 437.736 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 3110 3108.794 12 13.206 0 5477 131.939 127.965 165.675 164.823 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 3110 3108.794 12 13.206 0 5000 23.54 29.361 120.146 122.568 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 3110 3108.794 12 13.206 0 1000 79.493 80.916 89.209 100.466 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 3110 3108.794 12 13.206 0 12000 235.868 211.854 473.558 412.504 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 3110 3108.794 12 13.206 0 320000 1932.922 1803.166 7895.123 6445.281 What is the average HH annual expenditure on durable goods (NIS) during the last year? Data Dictionary & Questionnaire/Codebook All households 3110 3108.794 12 13.206 0 25000 301.593 287.55 1194.873 1210.299 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 3110 3108.794 12 13.206 0 70000 362.559 400.169 2059.627 2165.464 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 3110 3108.794 12 13.206 0 590000 5633.875 5229.258 23702.471 24740.122 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 3110 3108.794 12 13.206 0 7000 253.1 247.435 286.814 287.369 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 3109 3108.381 13 13.619 0 99999 3446.983 3633.959 4691.837 7287.6 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 3109 3108.308 13 13.692 During the past week, Number of days consumed Starches and tubers (rice, pastries, wheat flour, barley, potatoes,...) 0 12 10.939 1 104 122.822 2 349 358.129 3 357 306.779 4 156 148.622 5 167 194.98 6 77 83.191 7 1887 1882.847 Sysmiss 13 13.692 Main source for Starches and tubers (rice, pastries, wheat flour, barley, potatoes,...) Data Dictionary & Questionnaire/Codebook All households 3097 3097.369 25 24.631 Main source for Starches and tubers (rice, pastries, wheat flour, barley, potatoes,...) 1 Food coupons 541 654.375 2 Purchased 2250 2146.282 3 own produced 13 8.663 4 barter 0 0 5 Gifts 22 23.314 6 in kind food aid 31 38.958 7 buying on credit 174 153.338 8 Borrowed from relatives, neighbors 21 20.199 9 other 45 52.242 Sysmiss 25 24.631 During the past week Number of days consumed Legumes (lintels, chickpeas, fava beans, green peas) Data Dictionary & Questionnaire/Codebook All households 3109 3108.308 13 13.692 During the past week Number of days consumed Legumes (lintels, chickpeas, fava beans, green peas) 0 281 242.239 1 977 957.274 2 1033 1021.668 3 448 476.453 4 158 175.89 5 85 87.406 6 27 33.351 7 100 114.026 Sysmiss 13 13.692 Main source for Legumes (lintels, chickpeas, fava beans, green peas) Data Dictionary & Questionnaire/Codebook All households 2829 2866.749 293 255.251 Main source for Legumes (lintels, chickpeas, fava beans, green peas) 1 Food coupons 458 553.303 2 Purchased 2051 1984.718 3 own produced 8 5.528 4 barter 0 0 5 Gifts 35 33.808 6 in kind food aid 54 54.047 7 buying on credit 170 171.109 8 Borrowed from relatives, neighbors 11 13.717 9 other 42 50.52 Sysmiss 293 255.251 During the past week, Number of days consumed Fish (dried, canned, fresh) Data Dictionary & Questionnaire/Codebook All households 3109 3108.308 13 13.692 During the past week, Number of days consumed Fish (dried, canned, fresh) 0 1801 1780.891 1 984 993.484 2 206 210.293 3 72 73.005 4 20 22.048 5 11 10.192 6 3 2.929 7 12 15.466 Sysmiss 13 13.692 Main source for Fish (dried, canned, fresh) Data Dictionary & Questionnaire/Codebook All households 1308 1327.417 1814 1794.583 Main source for Fish (dried, canned, fresh) 1 Food coupons 170 204.297 2 Purchased 1054 1034.24 3 own produced 1 1.266 4 barter 0 0 5 Gifts 18 17.765 6 in kind food aid 15 15.84 7 buying on credit 42 45.233 8 Borrowed from relatives, neighbors 2 2.493 9 other 6 6.283 Sysmiss 1814 1794.583 During the past week,Number of days consumed Eggs Data Dictionary & Questionnaire/Codebook All households 3109 3108.308 13 13.692 During the past week,Number of days consumed Eggs 0 255 273.003 1 205 231.068 2 615 612.447 3 705 709.417 4 287 283.758 5 299 278.482 6 51 54.393 7 692 665.74 Sysmiss 13 13.692 Main source for Eggs Data Dictionary & Questionnaire/Codebook All households 2854 2835.305 268 286.695 Main source for Eggs 1 Food coupons 21 29.191 2 Purchased 2338 2275.709 3 own produced 66 64.837 4 barter 1 1.493 5 Gifts 26 24.449 6 in kind food aid 8 8.536 7 buying on credit 343 371.515 8 Borrowed from relatives, neighbors 12 12.053 9 other 39 47.521 Sysmiss 268 286.695 During the past week,Number of days consumed Red meat (beef, sheep, etc) Data Dictionary & Questionnaire/Codebook All households 3109 3108.308 13 13.692 During the past week,Number of days consumed Red meat (beef, sheep, etc) 0 1538 1584.098 1 1061 1016.752 2 375 366.626 3 94 94.228 4 16 15.533 5 12 10.743 7 13 20.327 Sysmiss 13 13.692 Main source for Red meat (beef, sheep, etc) Data Dictionary & Questionnaire/Codebook All households 1571 1524.21 1551 1597.79 Main source for Red meat (beef, sheep, etc) 1 Food coupons 3 4.295 2 Purchased 1444 1396.088 3 own produced 25 33.85 4 barter 0 0 5 Gifts 65 52.037 6 in kind food aid 4 4.899 7 buying on credit 19 23.147 8 Borrowed from relatives, neighbors 2 2.388 9 other 9 7.507 Sysmiss 1551 1597.79 During the past week, Number of days consumed White meat (poultry) Data Dictionary & Questionnaire/Codebook All households 3109 3108.308 13 13.692 During the past week, Number of days consumed White meat (poultry) 0 270 312.034 1 1293 1465.17 2 797 701.03 3 522 448.252 4 138 102.641 5 47 37.686 6 11 7.827 7 31 33.668 Sysmiss 13 13.692 Main source for White meat (poultry) Data Dictionary & Questionnaire/Codebook All households 2840 2796.954 282 325.046 Main source for White meat (poultry) 1 Food coupons 7 9.327 2 Purchased 2598 2549.692 3 own produced 15 14.455 4 barter 0 0 5 Gifts 69 74.271 6 in kind food aid 15 16.595 7 buying on credit 119 114.895 8 Borrowed from relatives, neighbors 11 12.081 9 other 6 5.638 Sysmiss 282 325.046 During the past week, Number of days consumed Liver, kidney, and other Data Dictionary & Questionnaire/Codebook All households 3109 3108.308 13 13.692 During the past week, Number of days consumed Liver, kidney, and other 0 2513 2436.022 1 492 538.025 2 66 80.854 3 8 11.323 4 2 1.926 5 2 2.623 6 1 0.174 7 25 37.361 Sysmiss 13 13.692 Main source for Liver, kidney, and other Data Dictionary & Questionnaire/Codebook All households 596 672.286 2526 2449.714 Main source for Liver, kidney, and other 1 Food coupons 1 1.213 2 Purchased 537 604.88 3 own produced 21 28.532 4 barter 0 0 5 Gifts 5 3.438 6 in kind food aid 1 0.918 7 buying on credit 27 30.433 8 Borrowed from relatives, neighbors 2 1.226 9 other 2 1.645 Sysmiss 2526 2449.714 During the past week,Number of days consumed Dairy products Data Dictionary & Questionnaire/Codebook All households 3109 3108.308 13 13.692 During the past week,Number of days consumed Dairy products 0 274 252.758 1 243 275.231 2 413 413.148 3 409 404.757 4 232 251.835 5 247 252.028 6 83 88.132 7 1208 1170.418 Sysmiss 13 13.692 Main source for Dairy products Data Dictionary & Questionnaire/Codebook All households 2836 2856.23 286 265.77 Main source for Dairy products 1 Food coupons 336 421.58 2 Purchased 2123 2038.221 3 own produced 68 68.15 4 barter 0 0 5 Gifts 21 20.037 6 in kind food aid 19 25.437 7 buying on credit 223 228.681 8 Borrowed from relatives, neighbors 7 7.126 9 other 39 46.999 Sysmiss 286 265.77 During the past week, Number of days consumed Oils and fats Data Dictionary & Questionnaire/Codebook All households 3109 3108.308 13 13.692 During the past week, Number of days consumed Oils and fats 0 40 47.865 1 123 186.719 2 146 156.936 3 193 184.991 4 201 227.597 5 314 319.343 6 91 90.806 7 2001 1894.05 Sysmiss 13 13.692 Main source for Oils and fats Data Dictionary & Questionnaire/Codebook All households 3069 3060.442 53 61.558 Main source for Oils and fats 1 Food coupons 423 513.99 2 Purchased 1908 1894.62 3 own produced 280 209.843 4 barter 1 1.004 5 Gifts 110 83.154 6 in kind food aid 44 50.882 7 buying on credit 236 241.78 8 Borrowed from relatives, neighbors 33 23.127 9 other 34 42.042 Sysmiss 53 61.558 During the past week, Number of days consumed Vitamin A rich fruits (melons, mango,..) Data Dictionary & Questionnaire/Codebook All households 3109 3108.308 13 13.692 During the past week, Number of days consumed Vitamin A rich fruits (melons, mango,..) 0 2706 2647.576 1 170 193.059 2 73 77.109 3 18 18.15 4 6 8.28 5 11 9.897 6 1 1.004 7 124 153.233 Sysmiss 13 13.692 Main source for Vitamin A rich fruits (melons, mango, papaya, apricots etc.) Data Dictionary & Questionnaire/Codebook All households 403 460.732 2719 2661.268 Main source for Vitamin A rich fruits (melons, mango, papaya, apricots etc.) 1 Food coupons 0 0 2 Purchased 391 449.8 3 own produced 2 2.051 4 barter 0 0 5 Gifts 3 1.25 6 in kind food aid 1 0.778 7 buying on credit 3 3.874 8 Borrowed from relatives, neighbors 2 2.387 9 other 1 0.592 Sysmiss 2719 2661.268 During the past week,Nmber of days consumed Other fruits (orange, apples, banana,..) Data Dictionary & Questionnaire/Codebook All households 3109 3108.308 13 13.692 During the past week,Nmber of days consumed Other fruits (orange, apples, banana,..) 0 534 580.027 1 618 668.381 2 651 614.628 3 471 443.705 4 149 134.717 5 185 152.719 6 28 22.916 7 473 491.215 Sysmiss 13 13.692 Main source for Other fruits (orange, apples, bananas, etc.) Data Dictionary & Questionnaire/Codebook All households 2575 2528.281 547 593.719 Main source for Other fruits (orange, apples, bananas, etc.) 1 Food coupons 2 2.587 2 Purchased 2387 2344.977 3 own produced 25 14.227 4 barter 1 0.36 5 Gifts 110 117.637 6 in kind food aid 6 7.235 7 buying on credit 33 31.547 8 Borrowed from relatives, neighbors 6 5.214 9 other 5 4.497 Sysmiss 547 593.719 During the past week, Number of days consumed Vegetables (orange colored) Data Dictionary & Questionnaire/Codebook All households 3109 3108.308 13 13.692 During the past week, Number of days consumed Vegetables (orange colored) 0 1734 1765.221 1 777 759.791 2 316 281.003 3 109 101.573 4 18 18.505 5 24 20.103 6 7 9.723 7 124 152.389 Sysmiss 13 13.692 Main source for Vegetables (orange colored) Data Dictionary & Questionnaire/Codebook All households 1375 1343.087 1747 1778.913 Main source for Vegetables (orange colored) 1 Food coupons 3 3.267 2 Purchased 1324 1299.671 3 own produced 7 6.801 4 barter 1 0.36 5 Gifts 19 15.872 6 in kind food aid 4 4.304 7 buying on credit 11 10.127 8 Borrowed from relatives, neighbors 3 0.894 9 other 3 1.792 Sysmiss 1747 1778.913 During the past week,Number of days consumed Green leafy vegetables Data Dictionary & Questionnaire/Codebook All households 3109 3108.308 13 13.692 During the past week,Number of days consumed Green leafy vegetables 0 1004 1042.499 1 1235 1211.014 2 529 500.348 3 123 111.332 4 27 26.082 5 53 48.742 6 6 6.275 7 132 162.016 Sysmiss 13 13.692 Main source for Green leafy vegetables Data Dictionary & Questionnaire/Codebook All households 2105 2065.808 1017 1056.192 Main source for Green leafy vegetables 1 Food coupons 2 2.644 2 Purchased 1864 1863.868 3 own produced 69 41.222 4 barter 0 0 5 Gifts 95 82.74 6 in kind food aid 9 10.351 7 buying on credit 27 23.07 8 Borrowed from relatives, neighbors 30 34.079 9 other 9 7.833 Sysmiss 1017 1056.192 During the past week, Number of days consumed Other vegetables (onions, tomatoes,..) Data Dictionary & Questionnaire/Codebook All households 3109 3108.308 13 13.692 During the past week, Number of days consumed Other vegetables (onions, tomatoes,..) 0 38 39.796 1 92 106.703 2 326 359.276 3 503 526.081 4 256 267.008 5 385 394.147 6 118 124.124 7 1391 1291.173 Sysmiss 13 13.692 Main source for Other vegetables (onions, tomatoes, radish ) Data Dictionary & Questionnaire/Codebook All households 3071 3068.512 51 53.488 Main source for Other vegetables (onions, tomatoes, radish ) 1 Food coupons 9 11.359 2 Purchased 2820 2858.129 3 own produced 62 27.938 4 barter 1 0.36 5 Gifts 40 35.72 6 in kind food aid 12 14.16 7 buying on credit 101 92.903 8 Borrowed from relatives, neighbors 21 23.671 9 other 5 4.272 Sysmiss 51 53.488 During the past week, Number of days consumed Sugar, jams, honey and sweetened drinks Data Dictionary & Questionnaire/Codebook All households 3109 3108.308 13 13.692 During the past week, Number of days consumed Sugar, jams, honey and sweetened drinks 0 223 196.886 1 200 225.748 2 254 278.829 3 172 186.615 4 107 130.418 5 135 140.968 6 43 42.402 7 1975 1906.443 Sysmiss 13 13.692 Main source for Sugar, jams, honey and sweetened drinks Data Dictionary & Questionnaire/Codebook All households 2886 2911.422 236 210.578 Main source for Sugar, jams, honey and sweetened drinks 1 Food coupons 247 302.132 2 Purchased 2209 2179.562 3 own produced 48 28.249 4 barter 0 0 5 Gifts 13 10.269 6 in kind food aid 25 24.769 7 buying on credit 302 316.85 8 Borrowed from relatives, neighbors 3 2.981 9 other 39 46.61 Sysmiss 236 210.578 During the past week,,Number of days consumed Others (coffee, tea, condiments) Data Dictionary & Questionnaire/Codebook All households 3109 3108.308 13 13.692 During the past week,,Number of days consumed Others (coffee, tea, condiments) 0 22 23.594 1 56 87.767 2 160 187.734 3 129 156.345 4 93 113.693 5 175 182.685 6 124 110.378 7 2350 2246.112 Sysmiss 13 13.692 Main source for Others (coffee, tea, condiments) Data Dictionary & Questionnaire/Codebook All households 3087 3084.714 35 37.286 Main source for Others (coffee, tea, condiments) 1 Food coupons 53 69.031 2 Purchased 2538 2480.338 3 own produced 1 0.321 4 barter 0 0 5 Gifts 10 10.566 6 in kind food aid 14 17.461 7 buying on credit 429 456.995 8 Borrowed from relatives, neighbors 6 6.588 9 other 36 43.414 Sysmiss 35 37.286 During the past 30 days, did the household purchase or pay the fare for: Orienta Data Dictionary & Questionnaire/Codebook All households 3106 16 During the past 30 days, did the household purchase or pay the fare for: Orienta 1 yes 1207 2 no 1899 Sysmiss 16 During the past 30 days, did the household purchase or pay the fare for: Fresh b Data Dictionary & Questionnaire/Codebook All households 3106 16 During the past 30 days, did the household purchase or pay the fare for: Fresh b 1 yes 1701 2 no 1405 Sysmiss 16 During the past 30 days, did the household purchase or pay the fare for: Feather Data Dictionary & Questionnaire/Codebook All households 3106 16 During the past 30 days, did the household purchase or pay the fare for: Feather 1 yes 1379 2 no 1727 Sysmiss 16 During the past 30 days, did the household purchase or pay the fare for: A can o Data Dictionary & Questionnaire/Codebook All households 3106 16 During the past 30 days, did the household purchase or pay the fare for: A can o 1 yes 2097 2 no 1009 Sysmiss 16 During the past 30 days, did the household purchase or pay the fare for: Soft wh Data Dictionary & Questionnaire/Codebook All households 3106 16 During the past 30 days, did the household purchase or pay the fare for: Soft wh 1 yes 1490 2 no 1616 Sysmiss 16 During the past 30 days, did the household purchase or pay the fare for: Banana Data Dictionary & Questionnaire/Codebook All households 3106 16 During the past 30 days, did the household purchase or pay the fare for: Banana 1 yes 2466 2 no 640 Sysmiss 16 During the past 30 days, did the household purchase or pay the fare for: Apple Data Dictionary & Questionnaire/Codebook All households 3106 16 During the past 30 days, did the household purchase or pay the fare for: Apple 1 yes 2270 2 no 836 Sysmiss 16 During the past 30 days, did the household purchase or pay the fare for: Peach Data Dictionary & Questionnaire/Codebook All households 3106 16 During the past 30 days, did the household purchase or pay the fare for: Peach 1 yes 202 2 no 2904 Sysmiss 16 During the past 30 days, did the household purchase or pay the fare for: Pears Data Dictionary & Questionnaire/Codebook All households 3106 16 During the past 30 days, did the household purchase or pay the fare for: Pears 1 yes 660 2 no 2446 Sysmiss 16 During the past 30 days, did the household purchase or pay the fare for: Almonds Data Dictionary & Questionnaire/Codebook All households 3106 16 During the past 30 days, did the household purchase or pay the fare for: Almonds 1 yes 977 2 no 2129 Sysmiss 16 During the past 30 days, did the household purchase or pay the fare for: Waterme Data Dictionary & Questionnaire/Codebook All households 3106 16 During the past 30 days, did the household purchase or pay the fare for: Waterme 1 yes 1384 2 no 1722 Sysmiss 16 During the past 30 days, did the household purchase or pay the fare for: Green P Data Dictionary & Questionnaire/Codebook All households 3106 16 During the past 30 days, did the household purchase or pay the fare for: Green P 1 yes 2020 2 no 1086 Sysmiss 16 During the past 30 days, did the household purchase or pay the fare for: Pay the Data Dictionary & Questionnaire/Codebook All households 3106 16 During the past 30 days, did the household purchase or pay the fare for: Pay the 1 yes 1223 2 no 1883 Sysmiss 16 During the past 30 days, did the household purchase or pay the fare for: Interne Data Dictionary & Questionnaire/Codebook All households 3106 16 During the past 30 days, did the household purchase or pay the fare for: Interne 1 yes 2387 2 no 719 Sysmiss 16 During the past 30 days, did the household purchase or pay the fare for: Buying Data Dictionary & Questionnaire/Codebook All households 3106 16 During the past 30 days, did the household purchase or pay the fare for: Buying 1 yes 1314 2 no 1792 Sysmiss 16 The main breadwinner in this household is Data Dictionary & Questionnaire/Codebook All households 3106 3106.718 16 15.282 The main breadwinner in this household is 1 Male 2856 2846.016 2 Female 250 260.702 Sysmiss 16 15.282 Total amount of money that a household need to satisfy its basic needs (necessities) Data Dictionary & Questionnaire/Codebook All households 3105 3105.893 17 16.107 12 99999 4917.812 4993.585 10792.495 11259.179 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 3105 3105.893 17 16.107 In general do you consider your HH 1 Wealthy 170 146.345 2 middle 2077 2030.614 3 Poor 610 639.815 4 very poor 248 289.119 Sysmiss 17 16.107 How long could the HH keep up financially in the future if situation to remain the same Data Dictionary & Questionnaire/Codebook All households 3105 3105.893 17 16.107 How long could the HH keep up financially in the future if situation to remain the same 1 For as long as it takes 1419 1387.399 2 For about one year 117 113.352 3 For only few months 217 231.808 4 We hardly could menage 909 922.101 5 HH situation is serious and does not have enough to live 280 318.706 9 Don't know/No answer 163 132.526 Sysmiss 17 16.107 Data Dictionary & Questionnaire/Codebook All households 3105 3105.893 17 16.107 1 Agriculture, fisheries and animal husbandry 88 73.948 2 Non agriculture family business 221 218.626 3 Wages and salaries from the public sector 665 648.082 4 Wages and salaries from the private sector 946 944.55 5 Wages and salaries from Israel labor market 438 396.116 6 Transfers from within WBGS (including retirement) 217 214.753 7 Transfers from abroad 21 22.692 8 International agencies (aid) 45 52.189 9 Social assistance 286 340.587 10 Wages and salaries from international agencies 31 33.648 11 National insurance (Jerusalem) 46 57.245 12 Property income 39 40.9 13 Other 62 62.556 Sysmiss 17 16.107 During the past 12 months Agriculture, fisheries and animal husbandry of the household sources of income Data Dictionary & Questionnaire/Codebook All households 3105 3105.893 17 16.107 During the past 12 months Agriculture, fisheries and animal husbandry of the household sources of income 1 Yes 385 312.382 2 No 2720 2793.511 Sysmiss 17 16.107 During the past 12 months Non agriculture family business of the household sources of income Data Dictionary & Questionnaire/Codebook All households 3105 3105.893 17 16.107 During the past 12 months Non agriculture family business of the household sources of income 1 Yes 292 283.385 2 No 2813 2822.508 Sysmiss 17 16.107 During the past 12 months Wages and salaries from the public sector of the household sources of income Data Dictionary & Questionnaire/Codebook All households 3105 3105.893 17 16.107 During the past 12 months Wages and salaries from the public sector of the household sources of income 1 Yes 761 734.24 2 No 2344 2371.653 Sysmiss 17 16.107 During the past 12 months Wages and salaries from the private sector of the household sources of income Data Dictionary & Questionnaire/Codebook All households 3105 3105.893 17 16.107 During the past 12 months Wages and salaries from the private sector of the household sources of income 1 Yes 1270 1279.503 2 No 1835 1826.39 Sysmiss 17 16.107 During the past 12 months Wages and salaries from Israel labor market of the household sources of income Data Dictionary & Questionnaire/Codebook All households 3105 3105.893 17 16.107 During the past 12 months Wages and salaries from Israel labor market of the household sources of income 1 Yes 492 450.31 2 No 2613 2655.583 Sysmiss 17 16.107 Data Dictionary & Questionnaire/Codebook All households 3105 3105.893 17 16.107 1 Yes 502 508.075 2 No 2603 2597.818 Sysmiss 17 16.107 Data Dictionary & Questionnaire/Codebook All households 3105 3105.893 17 16.107 1 Yes 61 61.991 2 No 3044 3043.902 Sysmiss 17 16.107 During the past 12 months International agencies (aid) of the household sources of income Data Dictionary & Questionnaire/Codebook All households 3105 3105.893 17 16.107 During the past 12 months International agencies (aid) of the household sources of income 1 Yes 609 732.797 2 No 2496 2373.096 Sysmiss 17 16.107 Data Dictionary & Questionnaire/Codebook All households 3105 3105.893 17 16.107 1 Yes 564 650.866 2 No 2541 2455.028 Sysmiss 17 16.107 During the past 12 months Wages and salaries from international agencies Data Dictionary & Questionnaire/Codebook All households 3105 3105.893 17 16.107 During the past 12 months Wages and salaries from international agencies 1 Yes 54 57.23 2 No 3051 3048.663 Sysmiss 17 16.107 During the past 12 months National insurance (Jerusalem) of the household source Data Dictionary & Questionnaire/Codebook All households 3105 3105.893 17 16.107 During the past 12 months National insurance (Jerusalem) of the household source 1 Yes 82 107.271 2 No 3023 2998.622 Sysmiss 17 16.107 During the past 12 months Property income of the household sources of income Data Dictionary & Questionnaire/Codebook All households 3105 3105.893 17 16.107 During the past 12 months Property income of the household sources of income 1 Yes 77 71.774 2 No 3028 3034.119 Sysmiss 17 16.107 During the past 12 months Other of the household sources of income Data Dictionary & Questionnaire/Codebook All households 3105 3105.893 17 16.107 During the past 12 months Other of the household sources of income 1 Yes 49 51.436 2 No 3056 3054.457 Sysmiss 17 16.107 What is the average monthly income (NIS) from Agriculture, fisheries and animal husbandry Data Dictionary & Questionnaire/Codebook All households 385 312.382 2737 2809.618 0 50000 1880.852 1518.346 4618.736 3343.037 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 291 282.464 2831 2839.536 0 99999 5219.694 5199.799 13306.082 13084.615 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 758 731.747 2364 2390.253 170 35000 3045.53 2967.679 2462.498 2728.105 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 1268 1278.286 1854 1843.714 15 99999 4114.992 4481.944 12946.4 14259.739 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 492 450.31 2630 2671.69 200 99999 4966.823 5215.535 7761.276 8156.159 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 476 480.063 2646 2641.937 10 99999 2012.158 2121.951 9262.772 9821.273 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 60 61.399 3062 3060.601 30 22000 2113.167 2077.105 3374.684 3585.071 What is the average monthly income (NIS) from Transfers from abroad Data Dictionary & Questionnaire/Codebook All households 609 732.797 2513 2389.203 10 6000 241.14 231.994 513.815 499.518 What is the average monthly income (NIS) from Social assistance Data Dictionary & Questionnaire/Codebook All households 563 650.043 2559 2471.957 5 12000 507.65 525.321 820.641 909.07 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 52 55.531 3070 3066.469 35 43200 3710.673 3742.177 5911.28 6038.748 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 82 107.271 3040 3014.729 100 99999 5611.305 3786.701 18570.667 12870.614 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 77 71.774 3045 3050.226 50 20000 2863.636 2814.181 3607.226 3492.528 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 98 97.221 3024 3024.779 50 20000 2103.265 1909.987 2943.715 2730.37 What is the average monthly income (NIS) from Other:………………………? During the past 12 months what is the average monthly income of the resources th Data Dictionary & Questionnaire/Codebook All households 3105 17 50 99999 4769.726 11132.964 During the past 12 months what is the average monthly income of the resources th During the past 12 months, did the hh or any of its members practiced any privat Data Dictionary & Questionnaire/Codebook All households 3107 3108.596 15 13.404 During the past 12 months, did the hh or any of its members practiced any privately owned agricultural activity 1 Yes 441 342.677 2 No 2666 2765.919 Sysmiss 15 13.404 Area of land planted during the Last Twelve Months (in Dunums) Data Dictionary & Questionnaire/Codebook All households 441 342.677 2681 2779.323 0 4000 26.41 36.493 225.215 293.464 Area of land planted during the Last Twelve Months (in Dunums) What type of agriculture Protected vegetable (greenhouses) Data Dictionary & Questionnaire/Codebook All households 441 342.677 2681 2779.323 What type of agriculture Protected vegetable (greenhouses) 1 Yes 42 20.032 2 No 399 322.646 Sysmiss 2681 2779.323 What type of agriculture Irrigated open field Data Dictionary & Questionnaire/Codebook All households 441 342.677 2681 2779.323 What type of agriculture Irrigated open field 1 Yes 119 91.769 2 No 322 250.908 Sysmiss 2681 2779.323 What type of agriculture Rain fed open field Data Dictionary & Questionnaire/Codebook All households 441 342.677 2681 2779.323 What type of agriculture Rain fed open field 1 Yes 361 288.44 2 No 80 54.237 Sysmiss 2681 2779.323 Does the household or any of its members have owned land (agricultural / non-agr Data Dictionary & Questionnaire/Codebook All households 3107 15 Does the household or any of its members have owned land (agricultural / non-agr 1 Yes 494 2 No 2613 Sysmiss 15 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 494 432.235 2628 2689.765 1 999999 33426.692 38760.674 68491.521 80688.625 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 441 342.677 2681 2779.323 1 800000 10110.667 6319.1 44513.877 32109.939 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 2019 Data Dictionary & Questionnaire/Codebook All households 441 342.677 2681 2779.323 1 24000 1805.508 1878.839 2428.933 2746.976 What is the value in NIS of the production that was consumed within the HH of the total production during 2019 During the last twelve months have the hh or one of its members practiced animal husbandry Data Dictionary & Questionnaire/Codebook All households 3107 3108.596 15 13.404 During the last twelve months have the hh or one of its members practiced animal husbandry 1 Yes 172 154.795 2 No 2935 2953.802 Sysmiss 15 13.404 Number of cows as in 1/12/2020 Data Dictionary & Questionnaire/Codebook All households 172 154.795 2950 2967.205 Number of cows as in 1/12/2020 0 165 149.069 1 3 1.798 4 1 0.71 15 1 0.874 70 1 1.394 100 1 0.95 Sysmiss 2950 2967.205 Revenues during the last twelve months in NIS from cows Data Dictionary & Questionnaire/Codebook All households 7 5.726 3115 3116.274 0 120000 24214.286 28037.128 42727.681 45687.381 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 7 5.726 3115 3116.274 Value of self-consumed during the last twelve months from cows 500 1 0.874 750 1 0.608 1200 1 0.316 2000 1 1.394 3600 1 0.71 5000 1 0.874 11000 1 0.95 Sysmiss 3115 3116.274 If you are to sell this holding what would be the estimated cost for cows Data Dictionary & Questionnaire/Codebook All households 7 5.726 3115 3116.274 8000 650000 123571.429 145159.4 234854.464 250428.082 If you are to sell this holding what would be the estimated cost for cows Number of Goats as in 1/12/2020 Data Dictionary & Questionnaire/Codebook All households 172 154.795 2950 2967.205 0 105 6.651 7.216 15.459 14.283 Number of Goats as in 1/12/2020 Data Dictionary & Questionnaire/Codebook All households 56 57.602 3066 3064.398 0 25000 5311.607 5349.287 6540.871 5493.944 Value of self-consumed during the last twelve months from Goats Data Dictionary & Questionnaire/Codebook All households 56 57.602 3066 3064.398 0 10000 2215.179 2353.989 2265.832 2106.455 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 56 57.602 3066 3064.398 0 105000 20584.804 21127.543 22967.163 17848.578 If you are to sell this holding what would be the estimated cost for Goats Data Dictionary & Questionnaire/Codebook All households 172 154.795 2950 2967.205 0 160 11 9.825 22.366 19.857 Revenues during the last twelve months in NIS from Sheep Data Dictionary & Questionnaire/Codebook All households 76 64.908 3046 3057.092 0 60000 7050.395 5539.175 10918.735 8638.913 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 76 64.908 3046 3057.092 0 10000 1959.474 1847.467 2214.635 1979.625 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 76 64.908 3046 3057.092 0 99999 27495.355 24822.247 27210.33 25062.469 If you are to sell this holding what would be the estimated cost for Sheep Number of Poultry as in 1/12/2020 Data Dictionary & Questionnaire/Codebook All households 172 154.795 2950 2967.205 0 20000 216.14 86.782 1901.049 1158.591 Number of Poultry as in 1/12/2020 Data Dictionary & Questionnaire/Codebook All households 86 84.015 3036 3037.985 0 70000 1005.047 390.894 7638.818 4625.569 Value of self-consumed during the last twelve months from Poultry Data Dictionary & Questionnaire/Codebook All households 86 84.015 3036 3037.985 0 10000 496.023 404.375 1213.636 914.443 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 86 84.015 3036 3037.985 0 220000 5155.93 2134.053 30425.588 17795.288 If you are to sell this holding what would be the estimated cost for Poultry Data Dictionary & Questionnaire/Codebook All households 172 154.795 2950 2967.205 0 164 145.551 1 4 4.622 2 3 3.467 3 1 1.156 Sysmiss 2950 2967.205 Revenues during the last twelve months in NIS from Camels Data Dictionary & Questionnaire/Codebook All households 8 9.244 3114 3112.756 Revenues during the last twelve months in NIS from Camels 0 8 9.244 Sysmiss 3114 3112.756 Value of self-consumed during the last twelve months from Camels Data Dictionary & Questionnaire/Codebook All households 8 9.244 3114 3112.756 Value of self-consumed during the last twelve months from Camels 0 8 9.244 Sysmiss 3114 3112.756 If you are to sell this holding what would be the estimated cost for Camels Data Dictionary & Questionnaire/Codebook All households 8 9.244 3114 3112.756 If you are to sell this holding what would be the estimated cost for Camels 7000 1 1.156 8000 3 3.467 14000 1 1.156 15000 1 1.156 16000 1 1.156 25000 1 1.156 Sysmiss 3114 3112.756 Data Dictionary & Questionnaire/Codebook All households 172 154.795 2950 2967.205 0 169 152.317 3 1 0.316 30 1 0.523 50 1 1.637 Sysmiss 2950 2967.205 Revenues during the last twelve months in NIS from Beehives Data Dictionary & Questionnaire/Codebook All households 3 2.477 3119 3119.523 Revenues during the last twelve months in NIS from Beehives 1800 1 0.316 5000 1 0.523 30000 1 1.637 Sysmiss 3119 3119.523 Value of self-consumed during the last twelve months from Beehives Data Dictionary & Questionnaire/Codebook All households 3 2.477 3119 3119.523 300 3600 1566.667 2586.791 1778.576 1841.062 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 3 2.477 3119 3119.523 If you are to sell this holding what would be the estimated cost for Beehives 1800 1 0.316 12000 1 0.523 50000 1 1.637 Sysmiss 3119 3119.523 Data Dictionary & Questionnaire/Codebook All households 172 154.795 2950 2967.205 0 15000 91.541 104.435 1143.488 1227.343 Revenues during the last twelve months in NIS from Other animals Data Dictionary & Questionnaire/Codebook All households 27 23.714 3095 3098.286 Revenues during the last twelve months in NIS from Other animals 0 18 16.267 100 1 1.059 180 1 0.472 200 2 1.801 300 1 1.213 500 1 0.414 800 1 1.107 6000 1 0.345 50000 1 1.037 Sysmiss 3095 3098.286 Value of self-consumed during the last twelve months from Other animals Data Dictionary & Questionnaire/Codebook All households 27 23.714 3095 3098.286 0 672 135.63 135.175 169.207 179.202 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 27 23.714 3095 3098.286 100 90000 4746.481 5757.74 17301.663 18757.595 If you are to sell this holding what would be the estimated cost for Other anima Did the family own any of the following agricultural tools on 01/12/2020: plow Data Dictionary & Questionnaire/Codebook All households 542 2580 Did the family own any of the following agricultural tools on 01/12/2020: plow 1 Yes 77 2 No 442 3 Not applicable 0 8 23 Sysmiss 2580 Did the family own any of the following agricultural tools on 01/12/2020: Manual Data Dictionary & Questionnaire/Codebook All households 542 2580 Did the family own any of the following agricultural tools on 01/12/2020: Manual 1 Yes 41 2 No 478 3 Not applicable 0 8 23 Sysmiss 2580 Did the family own any of the following agricultural tools on 01/12/2020: Automa Data Dictionary & Questionnaire/Codebook All households 542 2580 Did the family own any of the following agricultural tools on 01/12/2020: Automa 1 Yes 46 2 No 474 3 Not applicable 0 8 22 Sysmiss 2580 Did the family own any of the following agricultural tools on 01/12/2020: Metaph Data Dictionary & Questionnaire/Codebook All households 542 2580 Did the family own any of the following agricultural tools on 01/12/2020: Metaph 1 Yes 462 2 No 72 3 Not applicable 0 8 8 Sysmiss 2580 Did the family own any of the following agricultural tools on 01/12/2020: Power Data Dictionary & Questionnaire/Codebook All households 542 2580 Did the family own any of the following agricultural tools on 01/12/2020: Power 1 Yes 15 2 No 503 3 Not applicable 0 8 24 Sysmiss 2580 Did the family own any of the following agricultural tools on 01/12/2020: Tracto Data Dictionary & Questionnaire/Codebook All households 542 2580 Did the family own any of the following agricultural tools on 01/12/2020: Tracto 1 Yes 37 2 No 490 3 Not applicable 0 8 15 Sysmiss 2580 Did the family own any of the following agricultural tools on 01/12/2020: Manual Data Dictionary & Questionnaire/Codebook All households 542 2580 Did the family own any of the following agricultural tools on 01/12/2020: Manual 1 Yes 231 2 No 299 3 Not applicable 0 8 12 Sysmiss 2580 Did the family own any of the following agricultural tools on 01/12/2020: thresh Data Dictionary & Questionnaire/Codebook All households 542 2580 Did the family own any of the following agricultural tools on 01/12/2020: thresh 1 Yes 4 2 No 478 3 Not applicable 0 8 60 Sysmiss 2580 Did the family own any of the following agricultural tools on 01/12/2020: Comb Data Dictionary & Questionnaire/Codebook All households 542 2580 Did the family own any of the following agricultural tools on 01/12/2020: Comb 1 Yes 319 2 No 210 3 Not applicable 0 8 13 Sysmiss 2580 Did the family own any of the following agricultural tools on 01/12/2020: Ax Data Dictionary & Questionnaire/Codebook All households 542 2580 Did the family own any of the following agricultural tools on 01/12/2020: Ax 1 Yes 468 2 No 64 3 Not applicable 0 8 10 Sysmiss 2580 Did the family own any of the following agricultural tools on 01/12/2020: A fish Data Dictionary & Questionnaire/Codebook All households 542 2580 Did the family own any of the following agricultural tools on 01/12/2020: A fish 1 Yes 2 2 No 242 3 Not applicable 0 8 298 Sysmiss 2580 Did the family own any of the following agricultural tools on 01/12/2020: Harves Data Dictionary & Questionnaire/Codebook All households 542 2580 Did the family own any of the following agricultural tools on 01/12/2020: Harves 1 Yes 5 2 No 433 3 Not applicable 0 8 104 Sysmiss 2580 Did the family own any of the following agricultural tools on 01/12/2020: Feeder Data Dictionary & Questionnaire/Codebook All households 542 2580 Did the family own any of the following agricultural tools on 01/12/2020: Feeder 1 Yes 112 2 No 226 3 Not applicable 0 8 204 Sysmiss 2580 Did the family own any of the following agricultural tools on 01/12/2020: Stripe Data Dictionary & Questionnaire/Codebook All households 542 2580 Did the family own any of the following agricultural tools on 01/12/2020: Stripe 1 Yes 107 2 No 233 3 Not applicable 0 8 202 Sysmiss 2580 Did the family own any of the following agricultural tools on 01/12/2020: Animal Data Dictionary & Questionnaire/Codebook All households 542 2580 Did the family own any of the following agricultural tools on 01/12/2020: Animal 1 Yes 57 2 No 284 3 Not applicable 0 8 201 Sysmiss 2580 Did the family own any of the following agricultural tools on 01/12/2020: Other Data Dictionary & Questionnaire/Codebook All households 542 2580 Did the family own any of the following agricultural tools on 01/12/2020: Other 1 Yes 21 2 No 506 3 Not applicable 0 8 15 Sysmiss 2580 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 3106 3106.682 16 15.318 During the past twelve months, did the hh or any of the hh members worked in non-agricultural private family business? 1 Yes 239 237.632 2 No 2867 2869.05 Sysmiss 16 15.318 In which economic sector can this project be classified Data Dictionary & Questionnaire/Codebook All households 239 237.632 2883 2884.368 In which economic sector can this project be classified 1 Mining quarrying 4 3.169 2 Manufactiring 25 23.933 3 Construction 7 7.722 4 Commerce 111 114.141 5 Transport and storage 34 30.996 6 Hotels and restaurants 22 18.567 7 Information and communication 2 1.466 8 Insurance and financial services 2 3.458 9 Real estate services 1 0.188 10 Education 2 2.173 11 Personal care 6 7.349 12 cultural recreational 1 0.723 13 Other 22 23.747 Sysmiss 2883 2884.368 What is the income in NIS generated by the project during the past year Data Dictionary & Questionnaire/Codebook All households 239 237.632 2883 2884.368 0 999999 56121.013 82423.407 169105.563 223965.786 What is the income in NIS generated by the project during the past year What is the value of project land (apart from the agricultural land reported above) in NIS? Data Dictionary & Questionnaire/Codebook All households 239 237.632 2883 2884.368 0 999999 29710.572 57116.436 169018.625 226649.632 What is the value of project land (apart from the agricultural land reported above) in 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 3107 3107.603 15 14.397 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 633 630.5 2 Minor 972 950.505 3 Not an obstacle 1485 1505.659 4 17 20.939 9 Don't know 0 0 Sysmiss 15 14.397 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 3107 3107.603 15 14.397 During the first half of the survey year did you or any HH member face difficulty in accessing - work place 1 No difficulty 1698 1696.612 2 Minor difficulty 470 459.629 3 Big difficulty 584 576.626 8 Not applicable 349 368.065 9 Don't know 6 6.671 Sysmiss 15 14.397 Access Restrictions related (crossing, check point, no go zone etc) for the work Data Dictionary & Questionnaire/Codebook All households 1054 1036.255 2068 2085.745 Access Restrictions related (crossing, check point, no go zone etc) for the work 1 Yes 407 333.278 2 No 647 702.977 Sysmiss 2068 2085.745 Cost related reasons for the work place is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 1054 1036.255 2068 2085.745 Cost related reasons for the work place is Reasons of difficulties 1 Yes 210 221.422 2 No 844 814.833 Sysmiss 2068 2085.745 Bombing and military operations for the work place is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 1054 1036.255 2068 2085.745 Bombing and military operations for the work place is Reasons of difficulties 1 Yes 10 10.084 2 No 1044 1026.171 Sysmiss 2068 2085.745 other reasons for the work place is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 1054 1036.255 2068 2085.745 Other reasons for the work place is Reasons of difficulties 1 Yes 30 36.974 2 No 1024 999.281 Sysmiss 2068 2085.745 Covid-19 pandemic related reasons for the work place is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 640 2482 Covid-19 pandemic related reasons for the work place is Reasons of difficulties 1 Yes 610 2 No 30 Sysmiss 2482 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 3107 3107.603 15 14.397 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 1207 1152.863 2 Minor difficulty 33 37.293 3 Big difficulty 65 48.362 8 Not applicable 1794 1861.308 9 Don't know 8 7.777 Sysmiss 15 14.397 Access Restrictions related (crossing, check point, no go zone etc) for the plant your land Data Dictionary & Questionnaire/Codebook All households 98 85.655 3024 3036.345 Access Restrictions related (crossing, check point, no go zone etc) for the plant your land 1 Yes 70 62.367 2 No 28 23.288 Sysmiss 3024 3036.345 Cost related reasons for the plant your land is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 98 85.655 3024 3036.345 Cost related reasons for the plant your land is Reasons of difficulties 1 Yes 24 26.038 2 No 74 59.617 Sysmiss 3024 3036.345 Bombing and military operations for the plant your land is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 98 85.655 3024 3036.345 Bombing and military operations for the plant your land is Reasons of difficulties 1 Yes 2 1.522 2 No 96 84.133 Sysmiss 3024 3036.345 other reasons for the plant your land is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 98 85.655 3024 3036.345 Other reasons for the plant your land is Reasons of difficulties 1 Yes 6 4.384 2 No 92 81.271 Sysmiss 3024 3036.345 Covid-19 pandemic related reasons for the plant your land is Reasons of difficul Data Dictionary & Questionnaire/Codebook All households 24 3098 Covid-19 pandemic related reasons for the plant your land is Reasons of difficul 1 Yes 18 2 No 6 Sysmiss 3098 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 3107 3107.603 15 14.397 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 1774 1718.565 2 Minor difficulty 271 320.457 3 Big difficulty 270 287.52 8 Not applicable 784 772.999 9 Don't know 8 8.063 Sysmiss 15 14.397 Access Restrictions related (crossing, check point, no go zone etc) for the school or collage Data Dictionary & Questionnaire/Codebook All households 541 607.977 2581 2514.023 Access Restrictions related (crossing, check point, no go zone etc) for the school or collage 1 Yes 59 62.168 2 No 482 545.809 Sysmiss 2581 2514.023 Cost related reasons for the school or collage is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 541 607.977 2581 2514.023 Cost related reasons for the school or collage is Reasons of difficulties 1 Yes 121 132.088 2 No 420 475.889 Sysmiss 2581 2514.023 Bombing and military operations for the school or collage is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 541 607.977 2581 2514.023 Bombing and military operations for the school or collage is Reasons of difficulties 1 Yes 1 1.376 2 No 540 606.601 Sysmiss 2581 2514.023 other reasons for the school or collage is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 541 607.977 2581 2514.023 Other reasons for the school or collage is Reasons of difficulties 1 Yes 13 12.22 2 No 528 595.757 Sysmiss 2581 2514.023 Covid-19 pandemic related reasons for the school or collage is Reasons of diffic Data Dictionary & Questionnaire/Codebook All households 402 2720 Covid-19 pandemic related reasons for the school or collage is Reasons of diffic 1 Yes 388 2 No 14 Sysmiss 2720 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 3107 3107.603 15 14.397 During the first half of of the survey year did you or any HH member face difficulty in accessing - health facility 1 No difficulty 2483 2404.089 2 Minor difficulty 366 422.271 3 Big difficulty 219 238.602 8 Not applicable 28 29.883 9 Don't know 11 12.758 Sysmiss 15 14.397 Access Restrictions related (crossing, check point, no go zone etc) for the heal Data Dictionary & Questionnaire/Codebook All households 585 660.873 2537 2461.127 Access Restrictions related (crossing, check point, no go zone etc) for the health facility 1 Yes 64 53.079 2 No 521 607.794 Sysmiss 2537 2461.127 Cost related reasons for the health facility is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 585 660.873 2537 2461.127 Cost related reasons for the health facility is Reasons of difficulties 1 Yes 250 276.129 2 No 335 384.744 Sysmiss 2537 2461.127 Bombing and military operations for the health facility is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 585 660.873 2537 2461.127 Bombing and military operations for the health facility is Reasons of difficulties 1 Yes 4 4.513 2 No 581 656.36 Sysmiss 2537 2461.127 Data Dictionary & Questionnaire/Codebook All households 585 660.873 2537 2461.127 1 Yes 23 22.484 2 No 562 638.389 Sysmiss 2537 2461.127 Covid-19 pandemic related reasons for the health facility is Reasons of difficul Data Dictionary & Questionnaire/Codebook All households 368 2754 Covid-19 pandemic related reasons for the health facility is Reasons of difficul 1 Yes 343 2 No 25 Sysmiss 2754 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 3107 3107.603 15 14.397 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 1576 1670.166 2 Minor difficulty 165 191.214 3 Big difficulty 156 158.109 8 Not applicable 1191 1064.187 9 Don't know 19 23.928 Sysmiss 15 14.397 Access Restrictions related (crossing, check point, no go zone etc) for the Inside the same zone Data Dictionary & Questionnaire/Codebook All households 321 349.323 2801 2772.677 Access Restrictions related (crossing, check point, no go zone etc) for the Inside the seam zone 1 Yes 91 78.566 2 No 230 270.756 Sysmiss 2801 2772.677 Cost related reasons for the Inside the seam zone is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 321 349.323 2801 2772.677 Cost related reasons for the Inside the seam zone is Reasons of difficulties 1 Yes 168 180.699 2 No 153 168.624 Sysmiss 2801 2772.677 Bombing and military operations for the Inside the seam zone is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 321 349.323 2801 2772.677 Bombing and military operations for the Inside the seam zone is Reasons of difficulties 1 Yes 19 17.895 2 No 302 331.428 Sysmiss 2801 2772.677 other reasons for the Inside the seam zone is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 321 349.323 2801 2772.677 Other reasons for the Inside the seam zone is Reasons of difficulties 1 Yes 1 0.874 2 No 320 348.449 Sysmiss 2801 2772.677 Covid-19 pandemic related reasons for the Inside the seam zone is Reasons of dif Data Dictionary & Questionnaire/Codebook All households 145 2977 Covid-19 pandemic related reasons for the Inside the seam zone is Reasons of dif 1 Yes 144 2 No 1 Sysmiss 2977 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 3107 3107.603 15 14.397 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 1441 1462.434 2 Minor difficulty 94 75.918 3 Big difficulty 312 259.124 8 Not applicable 1215 1252.904 9 Don't know 45 57.222 Sysmiss 15 14.397 Access Restrictions related (crossing, check point, no go zone etc) for the Inside the separation barrier Data Dictionary & Questionnaire/Codebook All households 406 335.042 2716 2786.958 Access Restrictions related (crossing, check point, no go zone etc) for the Inside the separation barrier 1 Yes 373 307.013 2 No 33 28.029 Sysmiss 2716 2786.958 Cost related reasons for the Inside the separation barrier is Reasons of difficu Data Dictionary & Questionnaire/Codebook All households 406 335.042 2716 2786.958 Cost related reasons for the Inside the separation barrier is Reasons of difficulties 1 Yes 161 135.195 2 No 245 199.847 Sysmiss 2716 2786.958 Bombing and military operations for the Inside the separation barrier is Reasons Data Dictionary & Questionnaire/Codebook All households 406 335.042 2716 2786.958 Bombing and military operations for the Inside the separation barrier is Reasons 1 Yes 29 25.368 2 No 377 309.675 Sysmiss 2716 2786.958 other reasons for the Inside the separation barrier is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 406 335.042 2716 2786.958 Other reasons for the Inside the separation barrier is Reasons of difficulties 1 Yes 6 4.048 2 No 400 330.995 Sysmiss 2716 2786.958 Covid-19 pandemic related reasons for the Inside the separation barrier is Reaso Data Dictionary & Questionnaire/Codebook All households 31 3091 Covid-19 pandemic related reasons for the Inside the separation barrier is Reaso 1 Yes 24 2 No 7 Sysmiss 3091 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 3107 3107.603 15 14.397 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 1652 1725.912 2 Minor difficulty 28 30.328 3 Big difficulty 104 107.508 8 Not applicable 1310 1229.486 9 Don't know 13 14.369 Sysmiss 15 14.397 Access Restrictions related (crossing, check point, no go zone etc) for the outside the seam zone Data Dictionary & Questionnaire/Codebook All households 132 137.836 2990 2984.164 Access Restrictions related (crossing, check point, no go zone etc) for the outside the seam zone 1 Yes 71 85.014 2 No 61 52.822 Sysmiss 2990 2984.164 Cost related reasons for the outside the seam zone is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 132 137.836 2990 2984.164 Cost related reasons for the outside the seam zone is Reasons of difficulties 1 Yes 52 62.893 2 No 80 74.943 Sysmiss 2990 2984.164 Bombing and military operations for the outside the seam zone is Reasons of diffulties Data Dictionary & Questionnaire/Codebook All households 132 137.836 2990 2984.164 Bombing and military operations for the outside the seam zone is Reasons of diffulties 1 Yes 4 5.717 2 No 128 132.119 Sysmiss 2990 2984.164 other reasons for the outside the seam zone is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 132 137.836 2990 2984.164 Other reasons for the outside the seam zone is Reasons of difficulties 1 Yes 1 1.059 2 No 131 136.777 Sysmiss 2990 2984.164 Covid-19 pandemic related reasons for the outside the seam zone is Reasons of di Data Dictionary & Questionnaire/Codebook All households 63 3059 Covid-19 pandemic related reasons for the outside the seam zone is Reasons of di 1 Yes 62 2 No 1 Sysmiss 3059 During the first half of of the survey year did you or any HH member face diffic Data Dictionary & Questionnaire/Codebook All households 3107 3107.603 15 14.397 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 1921 1842.393 2 Minor difficulty 129 127.822 3 Big difficulty 80 62.088 8 Not applicable 949 1047.205 9 Don't know 28 28.094 Sysmiss 15 14.397 Access Restrictions related (crossing, check point, no go zone etc) for the outside the separation barrier Data Dictionary & Questionnaire/Codebook All households 209 189.911 2913 2932.089 Access Restrictions related (crossing, check point, no go zone etc) for the outside the separation barrier 1 Yes 143 120.359 2 No 66 69.552 Sysmiss 2913 2932.089 Cost related reasons for the outside the separation barrier is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 209 189.911 2913 2932.089 Cost related reasons for the outside the separation barrier is Reasons of difficulties 1 Yes 61 49.725 2 No 148 140.186 Sysmiss 2913 2932.089 Bombing and military operations for the outside the separation barrier is Reason of difficulties Data Dictionary & Questionnaire/Codebook All households 209 189.911 2913 2932.089 Bombing and military operations for the outside the separation barrier is Reason of difficulties 1 Yes 3 4.176 2 No 206 185.735 Sysmiss 2913 2932.089 other reasons for the outside the separation barrier is Reasons of difficulties Data Dictionary & Questionnaire/Codebook All households 209 189.911 2913 2932.089 other reasons for the outside the separation barrier is Reasons of difficulties 1 Yes 1 1.11 2 No 208 188.801 Sysmiss 2913 2932.089 Covid-19 pandemic related reasons for the outside the separation barrier is Reas Data Dictionary & Questionnaire/Codebook All households 74 3048 Covid-19 pandemic related reasons for the outside the separation barrier is Reas 1 Yes 72 2 No 2 Sysmiss 3048 How far is your residence from public transport Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 How far is your residence from public transport 1 500 m and less 2329 2422.241 2 501m to 3000 m 502 406.261 3 more than 3000 m 115 119.696 4 68 73.331 5 88 80.732 9 4 4.421 Sysmiss 16 15.318 What is the most frequent used transportation mean for public transport Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 What is the most frequent used transportation mean for public transport 1 walking 2843 2853.898 2 private car 115 122.461 3 Public transport 61 79.214 4 taxi 83 48.061 5 Other 2 1.615 9 2 1.433 Sysmiss 16 15.318 Duration of trip for public transport Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 0 60 6.754 6.615 5.77 5.715 Duration of trip for public transport How far is your residence from Closest private clinic Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 How far is your residence from Closest private clinic 1 500 m and less 1021 1056.734 2 501m to 3000 m 1030 994.756 3 more than 3000 m 419 397.458 4 275 270.676 5 335 354.281 9 26 32.778 Sysmiss 16 15.318 What is the most frequent used transportation mean for Closest private clinic Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 What is the most frequent used transportation mean for Closest private clinic 1 walking 1631 1635.983 2 private car 468 454.401 3 Public transport 772 834.672 4 taxi 205 145.826 5 Other 4 3.22 9 26 32.58 Sysmiss 16 15.318 Duration of trip for Closest private clinic Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 0 100 10.151 10.498 6.607 6.99 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 3106 3106.682 16 15.318 How far is your residence from Public health center (maternal health center ) 1 500 m and less 802 842.093 2 501m to 3000 m 1038 1017.799 3 more than 3000 m 638 575.107 4 272 265.583 5 336 382.554 9 20 23.546 Sysmiss 16 15.318 Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 1 walking 1588 1572.577 2 private car 446 444.539 3 Public transport 832 915.443 4 taxi 218 149.809 5 Other 3 3.301 9 19 21.014 Sysmiss 16 15.318 Duration of trip for Public health center (maternal health center ) Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 0 60 11.162 11.631 6.948 7.279 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 3106 3106.682 16 15.318 How far is your residence from private or public hospital 1 500 m and less 218 248.843 2 501m to 3000 m 428 533.501 3 more than 3000 m 369 345.871 4 480 489.625 5 1608 1484.597 9 3 4.245 Sysmiss 16 15.318 What is the most frequent used transportation mean for private or public hospita Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 What is the most frequent used transportation mean for private or public hospita 1 walking 391 451.37 2 private car 644 599.903 3 Public transport 1811 1885.24 4 taxi 252 161.087 5 Other 6 6.033 9 2 3.05 Sysmiss 16 15.318 Duration of trip for private or public hospital Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 0 354 20.32 20.103 15.002 16.315 Duration of trip for private or public hospital How far is your residence from Pharmacy Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 How far is your residence from Pharmacy 1 500 m and less 1625 1735.681 2 501m to 3000 m 800 686.415 3 more than 3000 m 305 269.97 4 198 210.325 5 176 202.676 9 2 1.616 Sysmiss 16 15.318 What is the most frequent used transportation mean for Pharmacy Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 What is the most frequent used transportation mean for Pharmacy 1 walking 2333 2341.942 2 private car 345 349.368 3 Public transport 311 329.573 4 taxi 106 81.986 5 Other 10 2.371 9 1 1.443 Sysmiss 16 15.318 Duration of trip for Pharmacy Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 0 70 8.63 8.809 6.057 6.601 Duration of trip for Pharmacy How far is your residence from Closest primary school Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 How far is your residence from Closest primary school 1 500 m and less 1295 1353.064 2 501m to 3000 m 1058 988.067 3 more than 3000 m 478 477.386 4 166 175.131 5 73 81.09 9 36 31.945 Sysmiss 16 15.318 What is the most frequent used transportation mean for Closest primary school Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 What is the most frequent used transportation mean for Closest primary school 1 walking 2656 2621.705 2 private car 160 173.839 3 Public transport 205 247.227 4 taxi 37 24.662 5 Other 9 4.269 9 39 34.981 Sysmiss 16 15.318 Duration of trip for Closest primary school Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 0 60 10.114 10.254 6.44 6.753 Duration of trip for Closest primary school How far is your residence from Closest secondary school Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 How far is your residence from Closest secondary school 1 500 m and less 922 972.281 2 501m to 3000 m 1030 1010.333 3 more than 3000 m 616 598.713 4 332 319.393 5 168 171.913 9 38 34.049 Sysmiss 16 15.318 What is the most frequent used transportation mean for Closest secondary school Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 What is the most frequent used transportation mean for Closest secondary school 1 walking 2373 2382.7 2 private car 187 196.229 3 Public transport 447 451.562 4 taxi 46 31.923 5 Other 12 7.184 9 41 37.085 Sysmiss 16 15.318 Duration of trip for Closest secondary school Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 0 200 12.008 12.278 8.439 8.597 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 3106 3106.682 16 15.318 How far is your residence from Closest center to buy food/ food market 1 500 m and less 2290 2277.134 2 501m to 3000 m 427 389.409 3 more than 3000 m 216 237.095 4 95 106.183 5 77 95.418 9 1 1.443 Sysmiss 16 15.318 What is the most frequent used transportation mean for Closest center to buy food/ food market Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 What is the most frequent used transportation mean for Closest center to buy food/ food market 1 walking 2704 2631.01 2 private car 131 158.662 3 Public transport 240 294.44 4 taxi 27 19.22 5 Other 2 1.615 9 2 1.735 Sysmiss 16 15.318 Duration of trip for Closest center to buy food/ food market Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 0 100 6.724 7.127 5.508 6.026 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 3106 3106.682 16 15.318 How far is your residence from Closest commercial center 1 500 m and less 432 456.024 2 501m to 3000 m 703 727.497 3 more than 3000 m 563 574.34 4 446 482.055 5 922 827.784 9 40 38.982 Sysmiss 16 15.318 What is the most frequent used transportation mean for Closest commercial center Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 What is the most frequent used transportation mean for Closest commercial center 1 walking 1004 1026.904 2 private car 503 469.007 3 Public transport 1440 1487.301 4 taxi 106 78.036 5 Other 13 6.451 9 40 38.982 Sysmiss 16 15.318 Duration of trip for Closest commercial center Data Dictionary & Questionnaire/Codebook All households 3106 3106.682 16 15.318 0 100 14.972 15.064 9.792 10.017 Duration of trip for Closest commercial center How far is your residence from Closest Senior Center / Club Data Dictionary & Questionnaire/Codebook All households 3106 16 How far is your residence from Closest Senior Center / Club 1 500 m and less 97 2 501m to 1000 m 131 3 1001m to 1999 m 174 4 2000m to 2999 m 300 5 more than 3000 m 1263 9 I don't know 1141 Sysmiss 16 What is the most frequent used transportation mean for Closest commercial center Data Dictionary & Questionnaire/Codebook All households 3106 16 What is the most frequent used transportation mean for Closest commercial center 1 walking 140 2 private car 446 3 Public transport 1280 4 taxi 102 5 Other 3 9 I don't know 1135 Sysmiss 16 Duration of trip for Senior Center / Club Data Dictionary & Questionnaire/Codebook All households 3106 16 0 190 18.856 21.31 Duration of trip for Senior Center / Club How far is your residence from Closest Youth Center / Club Data Dictionary & Questionnaire/Codebook All households 3106 16 How far is your residence from Closest Youth Center / Club 1 500 m and less 451 2 501m to 1000 m 747 3 1001m to 1999 m 603 4 2000m to 2999 m 375 5 more than 3000 m 624 9 I don't know 306 Sysmiss 16 What is the most frequent used transportation mean for Youth Center / Club Data Dictionary & Questionnaire/Codebook All households 3106 16 What is the most frequent used transportation mean for Youth Center / Club 1 walking 1262 2 private car 397 3 Public transport 1025 4 taxi 103 5 Other 13 9 I don't know 306 Sysmiss 16 Duration of trip for Youth Center / Club Data Dictionary & Questionnaire/Codebook All households 3106 16 0 125 13.77 10.645 Duration of trip for Youth Center / Club How far is your residence from Closest Police station Data Dictionary & Questionnaire/Codebook All households 3106 16 How far is your residence from Closest Police station 1 500 m and less 216 2 501m to 1000 m 646 3 1001m to 1999 m 705 4 2000m to 2999 m 540 5 more than 3000 m 979 9 I don't know 20 Sysmiss 16 What is the most frequent used transportation mean for Police station Data Dictionary & Questionnaire/Codebook All households 3106 16 What is the most frequent used transportation mean for Police station 1 walking 670 2 private car 599 3 Public transport 1541 4 taxi 265 5 Other 11 9 I don't know 20 Sysmiss 16 Duration of trip for Police station Data Dictionary & Questionnaire/Codebook All households 3106 16 0 115 15.245 9.249 Duration of trip for Police station How far is your residence from Closest A bank Data Dictionary & Questionnaire/Codebook All households 3106 16 How far is your residence from Closest A bank 1 500 m and less 236 2 501m to 1000 m 630 3 1001m to 1999 m 574 4 2000m to 2999 m 478 5 more than 3000 m 1177 9 I don't know 11 Sysmiss 16 What is the most frequent used transportation mean for A bank Data Dictionary & Questionnaire/Codebook All households 3106 16 What is the most frequent used transportation mean for A bank 1 walking 609 2 private car 598 3 Public transport 1735 4 taxi 145 5 Other 9 9 I don't know 10 Sysmiss 16 Duration of trip for A bank Data Dictionary & Questionnaire/Codebook All households 3106 16 0 120 16.485 10.061 Duration of trip for A bank How far is your residence from Closest A fire station Data Dictionary & Questionnaire/Codebook All households 3106 16 How far is your residence from Closest A fire station 1 500 m and less 143 2 501m to 1000 m 464 3 1001m to 1999 m 619 4 2000m to 2999 m 503 5 more than 3000 m 1274 9 I don't know 103 Sysmiss 16 What is the most frequent used transportation mean for A fire station Data Dictionary & Questionnaire/Codebook All households 3106 16 What is the most frequent used transportation mean for A fire station 1 walking 410 2 private car 618 3 Public transport 1726 4 taxi 240 5 Other 9 9 I don't know 103 Sysmiss 16 Duration of trip for A fire station Data Dictionary & Questionnaire/Codebook All households 3106 16 0 154 17.248 10.646 Duration of trip for A fire station How far is your residence from Closest Home for the elderly Data Dictionary & Questionnaire/Codebook All households 3106 16 How far is your residence from Closest Home for the elderly 1 500 m and less 42 2 501m to 1000 m 126 3 1001m to 1999 m 208 4 2000m to 2999 m 238 5 more than 3000 m 1643 9 I don't know 849 Sysmiss 16 What is the most frequent used transportation mean for Home for the elderly Data Dictionary & Questionnaire/Codebook All households 3106 16 What is the most frequent used transportation mean for Home for the elderly 1 walking 73 2 private car 476 3 Public transport 1573 4 taxi 136 5 Other 3 9 I don't know 845 Sysmiss 16 Duration of trip for Home for the elderly Data Dictionary & Questionnaire/Codebook All households 3106 16 0 150 21.324 19.708 Duration of trip for Home for the elderly How far is your residence from Closest A social service / counseling / orphans c Data Dictionary & Questionnaire/Codebook All households 3106 16 How far is your residence from Closest A social service / counseling / orphans c 1 500 m and less 82 2 501m to 1000 m 357 3 1001m to 1999 m 360 4 2000m to 2999 m 245 5 more than 3000 m 1409 9 I don't know 653 Sysmiss 16 What is the most frequent used transportation mean for A social service / counse Data Dictionary & Questionnaire/Codebook All households 3106 16 What is the most frequent used transportation mean for A social service / counse 1 walking 291 2 private car 496 3 Public transport 1524 4 taxi 139 5 Other 3 9 I don't know 653 Sysmiss 16 Duration of trip for A social service / counseling / orphans center Data Dictionary & Questionnaire/Codebook All households 3106 16 0 180 18.294 14.912 Duration of trip for A social service / counseling / orphans center Household weight Data Dictionary & Questionnaire/Codebook All households 3122 0 0.12 11.18 1 0.534 Household weight Country Data Dictionary & Questionnaire/Codebook All individuals 16484 16484 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 16484 16484 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 16484 16484 0 0 Year during which the survey was performed. 2020 16484 16484 Generated by ERF Data type Data Dictionary & Questionnaire/Codebook All individuals 16484 16484 0 0 This variable should indicate whether the survey data is cross-sectional or panel. 1 Cross-sectional 16484 16484 2 Panel 0 0 Generated by ERF Region Data Dictionary & Questionnaire/Codebook All individuals 16484 16484 0 0 Region of residence. 275001 West bank 10561 9854.167 275002 Gaza strip 5923 6629.833 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Urban/Rural residence Data Dictionary & Questionnaire/Codebook All individuals 16484 16484 0 0 Indicates whether the region is urban/rural. 0 Rural 2664 2490.083 1 Urban 11926 12655.786 2 Refugee camps 1894 1338.131 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Individual weight Data Dictionary & Questionnaire/Codebook All individuals 16484 0 0.103 12.178 1 0.545 Individual weight Unique household identifier Data Dictionary & Questionnaire/Codebook All individuals 16484 16484 0 0 Sequential anonymous household identifier, usually provided in the dataset. Generated by ERF Individual identifier Data Dictionary & Questionnaire/Codebook All individuals 16484 16484 0 0 1 17 3.6 3.651 2.183 2.199 Individual identification number (usually the individual line number in the household). Original survey variable renamed (Ref: Data dictionary.pdf) Refugee Status Data Dictionary & Questionnaire/Codebook All individuals 16484 16484 0 0 Refugee Status 1 Registered Refugee 7099 6850.455 2 Unregistered Refugee 312 430.054 3 Not refugee 9073 9203.491 Gender Data Dictionary & Questionnaire/Codebook All individuals 16484 16484 0 0 Indicator for the gender of the individual. 1 Male 8451 8368.651 2 Female 8033 8115.349 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Age Data Dictionary & Questionnaire/Codebook All individuals 16484 16484 0 0 0 99 25.069 24.103 18.891 18.483 Age of the individual in completed years. Marital status [Standardized version] Data Dictionary & Questionnaire/Codebook Individuals aged 12+ 10863 10603.262 5621 5880.738 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 4255 4138.597 2 Married monogamous 6146 6057.249 3 Married polygamous 23 18.561 4 Divorced/Separated 114 115.415 5 Widowed 325 273.439 99 Not stated 0 0 Sysmiss 5621 5880.738 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Marital status [Detailed version] Data Dictionary & Questionnaire/Codebook Individuals aged 12+ 10863 10603.262 5621 5880.738 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 4255 4138.597 200 Married monogamous 0 0 210 Legally married 164 165.202 220 Married 5982 5892.047 300 Married polygamous 23 18.561 400 Divorced/Separated 0 0 410 Separated 13 11.073 420 Divorced 101 104.341 500 Widowed 325 273.439 999 Not stated 0 0 Sysmiss 5621 5880.738 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Relationship to head [Standardized version] Data Dictionary & Questionnaire/Codebook All individuals 16484 16484 0 0 1 Head of household 3122 3012.126 2 Spouse 2825 2778.802 3 Son/daughter 9825 9955.978 4 Father/mother (parents) 160 134.311 5 Brother/sister 116 117.918 6 Grandchildren 243 287.444 7 Other relatives 193 197.421 8 Other non-relatives 0 0 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Relationship to head [Detailed version] Data Dictionary & Questionnaire/Codebook All individuals 16484 16484 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 3122 3012.126 200 Spouse 2825 2778.802 300 Son/daughter 9825 9955.978 310 Adopted children 0 0 400 Father/mother (parents) 160 134.311 500 Brother/sister 116 117.918 600 Grandchildren 243 287.444 700 Other relatives 71 63.763 710 Son/daughter in law 119 131.455 720 Grandparents 3 2.203 730 Father/mother in law 0 0 740 Brother/sister in law 0 0 750 Nephew/niece 0 0 800 Other non-relatives 0 0 810 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 Data Dictionary & Questionnaire/Codebook All individuals 3122 3012.126 13362 13471.874 Head living in couple 0 320 284.61 1 2779 2708.955 2 23 18.561 Sysmiss 13362 13471.874 Literacy status Data Dictionary & Questionnaire/Codebook Individuals aged 10+ 12566 12141.841 3918 4342.159 This variable indicates whether the individual is or is not literate (can read and write). 0 No 296 251.935 1 12266 11887.42 99 Not stated 4 2.486 Sysmiss 3918 4342.159 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Ever attended school Data Dictionary & Questionnaire/Codebook Individuals aged 10+ 15482 15331.664 1002 1152.336 This variable indicates whether the individual has ever attended school - academic, Koranic, or any other formal or informal education. 0 No 1111 1221.542 1 Yes 14368 14108.959 99 Not stated 3 1.163 Sysmiss 1002 1152.336 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) School attendance status Data Dictionary & Questionnaire/Codebook Individuals aged 10+ 15482 15331.664 1002 1152.336 0 No 9344 9367.259 1 Yes 6135 5963.243 99 Not stated 3 1.163 Sysmiss 1002 1152.336 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Educational level [Standardized version] Data Dictionary & Questionnaire/Codebook Individuals aged 10+ 12566 12141.841 3918 4342.159 This variable should indicate the highest level of education attained/ completed. 1 None 1796 1606.843 2 Primary/Lower secondary 5682 5375.875 3 Secondary 2600 2615.269 4 Post secondary or equivalent 629 631.467 5 University 1703 1733.28 6 Postgraduate 152 176.621 99 Not stated 4 2.486 Sysmiss 3918 4342.159 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Data Dictionary & Questionnaire/Codebook Individuals aged 10+ 12566 12141.841 3918 4342.159 Highest level of education attained (detailed version of coding). 100 None 0 0 110 Illiterate 296 251.935 120 Read only 0 0 130 1500 1354.909 140 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 2382 2239.239 220 Preparatory 3300 3136.635 230 Lower secondary 0 0 240 Professional/Vocational below secondary education 0 0 300 Secondary 2600 2615.269 310 Academic secondary 0 0 320 Professional/Vocational secondary 0 0 400 Post secondary or equivalent 629 631.467 500 University 1703 1733.28 600 Postgraduate 0 0 610 High diploma 12 11.97 620 Masters 121 144.018 630 PhD 19 20.633 999 Not stated 4 2.486 Sysmiss 3918 4342.159 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Number of effective years of schooling Data Dictionary & Questionnaire/Codebook Individuals aged 10+ 13772 13473.396 2712 3010.604 This is variable should indicate the total number of years of formal schooling successfully completed. 0 389 409.728 1 420 442.667 2 481 493.495 3 502 500.995 4 592 532.343 5 621 560.333 6 922 907.894 7 693 644.162 8 767 687.184 9 1175 1080.314 10 746 715.059 11 1379 1341.262 12 1836 1845.838 13 330 322.68 14 831 839.01 15 194 197.75 16 1609 1621.128 17 106 124.67 18 130 145.775 19 20 28.142 20 20 23.402 21 2 2.176 22 5 4.906 24 2 2.483 Sysmiss 2712 3010.604 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Level of schooling presently attending Data Dictionary & Questionnaire/Codebook Currently enrolled individuals aged 10+ 4032 3743.06 12452 12740.94 This variable ideally provides information on the level of education in which the individual is enrolled. 1 Primary 1008 908.769 2 Lower secondary 1197 1086.851 3 Higher secondary- academic 989 907.093 4 Higher secondary- technical/vocational 0 0 5 Post secondary- technical 0 0 6 University 800 795.795 7 Postgraduate 38 44.552 8 Other 0 0 99 Not stated 0 0 Sysmiss 12452 12740.94 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 Individuals aged 10+ 3636 3492.246 12848 12991.754 Why (name) has left school or has never been enrolled in education 1 Lack of desire for academic education 99 87.536 2 Lack of interest in education 742 745.64 3 Not interested in studying 651 630.233 4 Repeated failure 165 167.123 5 Poor economic status of the family 860 799.461 6 Having family problems 46 33.269 7 Taking care of family members 187 147.828 8 Marriage 539 548.292 9 Illness 78 72.653 10 Disability 64 66.009 11 No school nearby 55 55.047 12 The security situation 113 108.205 13 Maltreatment of teachers 11 5.895 14 Dismissal from school due to repeated failure 2 2.376 15 Others / specify .... 24 22.678 Sysmiss 12848 12991.754 Chronic Disease status Data Dictionary & Questionnaire/Codebook All Individuals 16484 16484 0 0 Chronic Disease status 0 No 14465 14678.775 1 Yes, has chronic disease 2019 1805.225 Disability status Data Dictionary & Questionnaire/Codebook All Individuals 16484 16484 0 0 Disability status 0 No 14876 15026.53 1 Disabled 1608 1457.47 Type of disability: Vision Data Dictionary & Questionnaire/Codebook All Individuals 16484 16484 0 0 Type of disability: Vision 0 No 15810 15851.442 1 Yes 674 632.558 Type of disability: Hearing Data Dictionary & Questionnaire/Codebook All Individuals 16484 16484 0 0 Type of disability: Hearing 0 No 16059 16109.412 1 Yes 425 374.588 Type of disability: Movement and using hands Data Dictionary & Questionnaire/Codebook All Individuals 16484 16484 0 0 Type of disability: Movement and using hands 0 No 15675 15767.12 1 Yes 809 716.88 Type of disability: Focus and memory Data Dictionary & Questionnaire/Codebook All Individuals 16484 16484 0 0 Type of disability: Focus and memory 0 No 16174 16217.123 1 Yes 310 266.877 Type of disability: Communication Data Dictionary & Questionnaire/Codebook All Individuals 16484 16484 0 0 Type of disability: Communication 0 No 16224 16251.742 1 Yes 260 232.258 Has health insurance Data Dictionary & Questionnaire/Codebook All individuals 16484 16484 0 0 This variable indicates whether the individual has health insurance. 0 No 3250 3288.409 1 Yes 13234 13195.591 99 Not stated 0 0 Type of disability: Self/personal care Data Dictionary & Questionnaire/Codebook All Individuals 16484 0 Type of disability: Self/personal care 0 No 16104 1 Yes 380 Main activity status in the reference period [Standardized version] Data Dictionary & Questionnaire/Codebook Individuals aged 7+ 13724 13360.627 2760 3123.373 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 3144 3114.222 2 Unemployed 1316 1344.3 3 Homemaker (Housewife) 3032 2996.73 4 Student 5184 4972.993 5 Pensioners/retired/disabled 956 851.033 6 Others 92 81.348 99 Not stated 0 0 Sysmiss 2760 3123.373 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+ 13724 13360.627 2760 3123.373 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 3144 3114.222 110 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) 588 594.257 220 Unemployed never worked (seeking a job) 728 750.043 230 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) 3032 2996.73 310 Homemaker 0 0 320 Housewife 0 0 400 Student 5184 4972.993 500 Pensioners/retired/disabled 0 0 510 Pensioners 0 0 520 Retired 213 194.516 530 Disabled 0 0 540 Unable to work 0 0 550 Old 0 0 560 Disabled/Old/Ill 743 656.517 600 Others 50 44.218 610 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 42 37.13 650 In prison 0 0 660 In hospital 0 0 670 Landlord 0 0 680 Family responsibilities 0 0 999 Not stated 0 0 Sysmiss 2760 3123.373 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Labor force status in the reference period Data Dictionary & Questionnaire/Codebook Individuals aged 7+ 13724 13360.627 2760 3123.373 The current labor force status should distinguish between the active (employed or unemployed) and inactive individuals (out of the labor force). 1 Active 4460 4458.522 2 Inactive 9264 8902.105 99 Not stated 0 0 Sysmiss 2760 3123.373 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+ 3732 3708.479 12752 12775.521 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 2133 2173.147 2 Employer 167 167.916 3 Own-account, self-employed 492 489.004 4 Contributing (unpaid) family worker 114 96.421 5 Members of producers cooperatives 0 0 6 Workers not classifiable by status (other) 826 781.991 99 Not stated 0 0 Sysmiss 12752 12775.521 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+ 3732 12752 What is the place of work of (the name) 1 in the housing unit 34 2 within the same locality 1295 3 within the same governorate 1478 4 in another governorate 376 5 in Israel 447 6 in Settlements 91 7 Abroad 11 Sysmiss 12752 Occupation classification of the main job [Standardized version] Data Dictionary & Questionnaire/Codebook Employed individuals aged 7+ 3730 3706.503 12754 12777.497 Standardized occupation classification for the main job. 10 Legislators, senior officials and managers 152 140.368 20 Professionals 575 594.214 30 Technicians and associate professionals 157 158.272 40 Clerks 56 59.181 50 Service workers and shop and market sales workers 535 551.611 60 Skilled agricultural and fishery workers 136 111.59 70 Craft and related trades workers 692 714.001 80 Plant and machine operators, and assemblers 298 306.375 90 Elementary occupations 955 908.746 100 Armed forces 0 0 998 Other/unspecified 0 0 999 Not stated 174 162.147 Sysmiss 12754 12777.497 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+ 3730 3706.503 12754 12777.497 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 152 140.368 2 Professionals 575 594.214 3 Technicians and associate professionals 157 158.272 4 Clerks 56 59.181 5 Service workers and shop and market sales workers 535 551.611 6 Skilled agricultural and fishery workers 136 111.59 7 Craft and related trades workers 692 714.001 8 Plant and machine operators and assemblers 298 306.375 9 Elementary occupations 955 908.746 9998 Unspecified codes 0 0 9999 Not stated 174 162.147 Sysmiss 12754 12777.497 Economic activity classification of the main job [Standardized version] Data Dictionary & Questionnaire/Codebook Employed individuals aged 7+ 3732 3708.479 12752 12775.521 Standardized economic activity classification for the main job. 10 Agriculture, forestry and fishing 2 2.144 20 Mining and quarrying 0 0 30 Manufacturing 764 677.864 40 Electricity, gas and water supply 17 18.462 50 Construction 853 866.905 60 Wholesale and retail trade 554 595.54 70 Transportation and storage 210 222.513 80 Accommodation and food service activities 103 102.479 90 Information and communication 29 36.955 100 Financial and insurance activities 26 29.909 110 Real estate, professional and support service activities 96 101.895 120 Public administration and defense 418 398.465 130 Education 385 376.252 140 Human health and social work activities 140 145.202 150 Other activities 134 132.667 998 Unspecified 0 0 999 Not stated 1 1.227 Sysmiss 12752 12775.521 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+ 3732 3708.479 12752 12775.521 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 2 2.144 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 764 677.864 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 11 12.254 36 Water collection, treatment and supply 6 6.208 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 853 866.905 42 Civil engineering 0 0 43 Specialized construction activities 0 0 45 Wholesale and retail trade and repair of motor vehicles and 554 595.54 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 210 222.513 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 103 102.479 56 Food and beverage service activities 0 0 58 Publishing activities 29 36.955 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 26 29.909 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 3 3.652 69 Legal and accounting activities 51 54.106 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 42 44.137 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 418 398.465 85 Education 385 376.252 86 Human health activities 140 145.202 87 Residential care activities 0 0 88 Social work activities without accommodation 0 0 90 Creative, arts and entertainment activities 13 13.631 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 90 88.881 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 9 8.985 98 Undifferentiated goods- and services-producing activities of 0 0 99 Activities of extraterritorial organizations and bodies 22 21.17 9998 Unspecified code 0 0 9999 Not stated 1 1.227 Sysmiss 12752 12775.521 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+ 3732 3708.479 12752 12775.521 Sector of employment (i.e. private versus public sector workers) in the main job. 1 Government 674 637.285 2 Public sector 0 0 3 Private sector 2973 2994.984 4 Joint/Cooperative 3 2.449 5 Foreign sector 5 5.747 6 Other 77 68.014 99 Not stated 0 0 Sysmiss 12752 12775.521 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+ 3732 3708.479 12752 12775.521 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 643 605.634 120 Government- Foreign 5 7.745 130 Government- Federal 0 0 140 Government- Local 26 23.905 200 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 1396 1489.812 322 Private- National outside establishment 861 815.527 330 Private- Foreign 0 0 331 Private- Foreign inside establishment 306 291.749 332 Private- Foreign outside establishment 296 301.475 340 Private- Inside establishment 0 0 350 Private- Outside establishment 0 0 360 Private- Families 114 96.421 400 Joint/Cooperative 3 2.449 410 Joint 0 0 420 Cooperative 0 0 430 Joint local sector 0 0 500 Foreign sector 5 5.747 510 Diplomatic bodies 0 0 600 Others 0 0 610 Non-governmental organizations 0 0 620 Non-profit associations 0 0 630 Charitable associations 17 14.294 640 Outside establishment 0 0 650 Outside the country 0 0 660 UNRWA 60 53.72 999 Not stated 0 0 Sysmiss 12752 12775.521 Original survey variable recoded/renamed (Ref: Data dictionary.pdf) Working in an establishment at the main job Data Dictionary & Questionnaire/Codebook Employed individuals aged 7+ 3732 12752 Working in an establishment at the main job 0 No 1209 1 Yes 2523 Sysmiss 12752 Has a secondary job Data Dictionary & Questionnaire/Codebook Employed individuals aged 7+ 3144 3114.222 13340 13369.778 This variable should identify those who have a secondary job. 0 No 2961 2948.956 1 Yes 183 165.266 Sysmiss 13340 13369.778 Country Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 3046 3046 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 3046 3046 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+ 3046 3046 0 0 2020 2020 2020 2020 0 7.51e-05 Year during which the survey was performed. Unique household identifier Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 3046 3046 0 0 4504 12950 8712.754 8501.804 2538.333 2718.079 Sequential anonymous household identifier, usually provided in the dataset. Individual identifier Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 3046 3046 0 0 Individual identification number (usually the individual line number in the household). 1 1404 1038.888 2 1162 1058.159 3 225 406.148 4 129 250.978 5 62 138.327 6 28 74.072 7 15 26.304 8 6 18.536 9 5 12.872 10 5 12.108 11 1 2.054 12 2 4.11 13 1 0.749 14 1 2.695 Individual weight Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 3046 0 0.0425 9.397 1 0.798 Selected individual weight 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+ 3046 3046 0 0 Feeling worried about the lack of enough food to eat because of lack of money or provide other sources 1 Yes 1428 1428.272 2 No 1618 1617.728 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+ 3046 3046 0 0 The inability to eat healthy and nutritious food because of lack of money or other sources 1 Yes 1218 1228.111 2 No 1828 1817.889 Eat a few kinds foods because of lack of money or other sources Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 3046 3046 0 0 Eat a few kinds foods because of lack of money or other sources 1 Yes 1026 1072.448 2 No 2020 1973.552 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+ 3046 3046 0 0 Give up a meal because there was not enough money or other resources to get food 1 Yes 789 844.859 2 No 2257 2201.141 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+ 3046 3046 0 0 Eating less than you thought you should because of a lack of money or other resources 1 Yes 743 817.163 2 No 2303 2228.837 The food ran out on household because of a lack of money or other resources Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 3046 3046 0 0 The food ran out on household because of a lack of money or other resources 1 Yes 551 579.692 2 No 2495 2466.308 Hunger with no eating because there was not enough money or other resources for food Data Dictionary & Questionnaire/Codebook All selected individuals aged 18+ 3046 3046 0 0 Hunger with no eating because there was not enough money or other resources for food 1 Yes 251 288.194 2 No 2795 2757.806 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+ 3046 3046 0 0 Do not eat for a whole day because of a lack of money or other sources 1 Yes 200 234.447 2 No 2846 2811.553