DDI-PSE-PCBS-ECON-2019-V1.0 Palestinian Central Bureau of Statistics 2021-09-01 NADA VersionV1.0 Economic Surveys Series 2019 ECON سلسلة المسوح الاقتصادية 2019 PSE-PCBS-ECON-2019-V1.0 Palestinian Central Bureau of Statistics

The Representative Office of Norway

Swiss Agency for Development and Cooperation

European Union

© All Rights Reserved Palestinian Central Bureau of Statistics,2019. NADA Palestine The Representative Office of Norway Swiss Agency for Development and Cooperation European Union CFG CFG Division of user services Mail office Enterprise Survey [en/oth] The Palestinian Central Bureau of Statistics is pleased to issue the Economic Survey of Palestine, including statistical tables of findings. This edition presents the findings of the surveys conducted for 2019 as the reference year and covers most of the economic activities operating in Palestine since 1994 V1.0: version (datasets for public use) Transport and Storage Communication & Information Construction Contractors Industrial Services Internal Trade economic conditions and indicators [1.2] A comprehensive and detailed statistical database of any economic activity is a prerequisite for planning and policy making and this applies to economic activities that play a major role in most modern world economies. The Palestinian Central Bureau of Statistics is pleased to issue the Economic Survey of Palestine, including statistical tables of findings. This edition presents the findings of the surveys conducted for 2019 as the reference year and covers most of the economic activities operating in Palestine since 1994. Economic surveys of various fields constitute the basic foundations for the compilation of National Accounts for Palestine Palestine Palestine Enterprises The economic survey series was conducted based on the Establishments Census of 2019 as a sampling frame. The economic surveys series covered activities in accordance with ISIC-4 (fifth digits). Sample survey data [ssd] 1.Number of employed persons and compensation of waged employees. 2.Value of output from the main and the secondary activity. 3.Production inputs of goods and services. Palestinian Central Bureau of Statistics The sample is One-Stage Stratified Systematic Random Sample (without replacement). Sample Strata Three levels are used to divide the population into strata: 1.Region (North of the West Bank in addition to Jericho Governorate, Ramallah and Al-Bireh Governorate, Jerusalem Governorate, Bethlehem Governorate, Hebron Governorate, Gaza Strip) 2.Strata were created based on the fourth digit of ISIC-4, excluding services sector based on the second in which every activity presents an actual stratum. 3.Enterprise size (small, medium, large) by number of employees. 13,974 enterprises were reached of which 10,602 enterprises responded on financial questions (baseline of economic indicators) Computer Assisted Personal Interview [capi] All of the economic surveys series used the same questionnaire, with a few different characteristics for each survey. The design of the 2019 questionnaire takes into account the major economic variables pertaining to the sector examined and the needs to be met to compile the National Accounts for Palestine. The questionnaire included these variables: 1. The employed persons in enterprise and compensation of these employees. 2. Value of output from the main activity and secondary activity. 3. Production inputs of goods and services. · PCBS team tested the application several times before starting the training to ensure data quality and consistency. · At the end of the fieldwork training, a test was conducted to evaluate the training results and the qualifications and skills of the interviewers. · During fieldwork, all inquiries and problems were resolved. · Every two weeks, a copy of raw data was sent to the project coordinator to check consistency and compatibility of data, and to follow up on problems facing some enterprises, whether via another face-to-face interview or via telephone. · During the data collection phase, IT coordinators were available firsthand to implement updates to the application on PC-Tablets, to solve any problems in samples and to distribute the samples among supervisors. Field visits were conducted by survey's management team to ensure data collection was carried out according to standards The weight of statistical units (sampling unit) in the sample was defined as the mathematical inverse of the selection probability where the sample of the survey is one-stage stratified systematic random sample, so we calculated the weight of each enterprise depending on the selection probability of each enterprise (a systematic random sample), then weights were adjusted based on interview result. Data processing went through several phases since the beginning of the preparation of data collection on 21/06/2020 until the end of the fieldwork on 30/11/2020. This process included the following phases: 1.Programming Phase The data collection application was prepared by the IT staff at PCBS. IT staff tested the application with the project director and all comments and updates were implemented, skips between questions, and some verification rules were also tested, a final version of the application was provided on time. 2.Training Phase All materials were prepared and included in the training manual on the requirements of data processing during fieldwork. The training halls were well prepared and contained microphones and a Wi-Fi. Training for Gaza Strip was carried out separately. 3.Verification Phase All verifications and consistency checks were applied to PC-Tablet applications. An error message pops up when entering a wrong value and some error messages show up in red for sensitive questions. The project coordinator tested the application by entering pilot questionnaires. In addition, there was a pretest by project director before collecting the data. 4.Other Data Processing Issues ·PC-Tablets: In general, PC-tablets were user friendly and familiar. During training, every interviewer was trained on a PC-tablet for their own use ·Data Collection Application (Survey Solution): The application was well designed and had a user friendly interface. Nevertheless, a programmer needed to be available when an error occurred by any of the supervisors and interviewers. ·Internet Connection (Wi-Fi): During the training, internet connection was available for trainers and trainees. During fieldwork, 81 SIM cards with internet connection were provided for each PC-tablet by Jawwal Company during data collection process. ·Administration Website: The website was friendly designed and easy to use, as it shows totals of completed questionnaire by interviewers. Supervisors were supplied by PCBS with four PC-tablets operating on Windows operations system to review and follow up on the data and to fill the sections they were responsible for. Response rate:84.0%. Sampling Errors Data of this survey were affected by sampling errors due to use of the sample. Variance was calculated for the most important indicators, accordingly, it is possible to disseminate the results at regional level. Non Sampling Error These types of errors could appear on one or on all of the survey stages that include data collection and data entry; they related to, respondents, fieldworkers, and data entry personnel. To avoid errors and mitigate their impact, a number of procedures were applied to enhance the accuracy of the data through a process of data collection from the field and data processing. General Statistics Law No. (5) for Year 2000 Article (17) 1. All individual information and data submitted to the Bureau for statistical purposes shall be treated as confidential and shall not be divulged, in whole or in part, to any individual or to a public or private body, or used for any purpose other than for preparing statistical tables. 2. The Bureau shall endeavor to issue official statistical publications in aggregate tables, which do not disclose individual data, in conformity with the confidentiality of statistical data. Palestinian Central Bureau of Statistics Palestinian Central Bureau of Statistics, Economic Survey Series- 2019. V1.0 (10-2020) Ramallah - Palestine 1. Pledges the utilization of “data” or any copies thereof shall be limited to the purposes agreed upon including not granting any third parties any access to these data. Restrictions applies to any data duplication or transformed setting for purposes other than meeting the requirements of the statistical programs used in data analysis. 2. Utilization of “data” or any copies thereof is limited to personal computers normally . 3. Pledges not to alter the value of any observation in the original “data”; nevertheless, this does not apply on subjecting data to any processes or procedures aiming to derive new variables. The first party does not bear any professional, administrative or financial responsibility for any losses incurred as a result of changes in the variables values. PCBS provid data collected for purely statistical purposes, and therefore does not assume any responsibility for legal or professional from any claim or analysis or interpretation or misuse of this data. Economics Indicators (English) Economic Surveys Series 2019 10602 14 General Data Financial Data Enterprise number Enterprise number Enterprise number Enterprise number Enterprise number Enterprise number 10602 42 19998012 197253.523 749098.721 Region Region Region Region Region Region 10602 1 west bank 3 Gaza strip Main economic activity Main economic activity Main economic activity Main economic activity Main economic activity Main economic activity 10602 810 1010 1030 1040 1050 1061 1062 1071 1073 1074 1075 1079 1080 1101 1103 1104 1200 1311 1312 1392 1393 1394 1399 1410 1420 1430 1511 1512 1520 1610 1621 1622 1623 1629 1701 1702 1709 1811 1812 1920 2011 2012 2013 2021 2022 2023 2029 2100 2211 2219 2220 2310 2391 2392 2393 2394 2395 2396 2399 2410 2420 2431 2432 2511 2512 2513 2520 2591 2592 2593 2599 2610 2630 2651 2710 2720 2733 2740 2750 2790 2812 2815 2816 2818 2819 2821 2824 2825 2829 2910 2920 2930 3099 3100 3211 3212 3240 3250 3290 3311 3312 3313 3314 3315 3319 3320 3510 3520 3530 3600 3811 3830 3900 4100 4210 4220 4290 4312 4321 4322 4329 4330 4390 4510 4520 4530 4540 4610 4620 4630 4641 4649 4651 4652 4653 4659 4661 4662 4663 4669 4690 4711 4719 4721 4722 4723 4730 4741 4742 4751 4752 4753 4759 4761 4762 4763 4764 4771 4772 4773 4774 4781 4782 4789 4791 4799 4921 4922 4923 5210 5221 5229 5310 5320 5510 5590 5610 5621 5629 5630 5811 5813 5819 5911 5912 5920 6010 6020 6110 6120 6130 6190 6201 6202 6209 6311 6312 6391 6419 6420 6491 6492 6512 6611 6612 6810 6820 6910 6920 7010 7020 7110 7120 7210 7220 7310 7320 7410 7420 7500 7710 7721 7729 7730 7810 7820 7911 7912 8010 8020 8110 8121 8129 8130 8211 8219 8230 8291 8292 8299 8510 8521 8522 8530 8541 8542 8549 8550 8610 8620 8690 8710 8720 8730 8790 8810 8890 9000 9101 9102 9103 9311 9312 9319 9321 9329 9411 9412 9420 9491 9492 9499 9511 9512 9521 9522 9523 9524 9529 9601 9602 9603 9609 Number of Unpaid Employees Number of Unpaid Employees Number of Unpaid Employees Number of Unpaid Employees Number of Unpaid Employees Number of Unpaid Employees 10602 42 1.31 1.346 Number of Wage Employees Number of Wage Employees Number of Wage Employees Number of Wage Employees Number of Wage Employees Number of Wage Employees 10602 2719 10.158 55.358 Value of output from main activity Value of output from main activity Value of output from main activity Value of output from main activity Value of output from main activity Value of output from main activity 10602 1488190000 2035972.273 21586139.789 Value of output from secondory activity Value of output from secondory activity Value of output from secondory activity Value of output from secondory activity Value of output from secondory activity Value of output from secondory activity 10602 32000000 16633.006 481610.722 Value of total Goods Production Inputs Value of total Goods Production Inputs Value of total Goods Production Inputs Value of total Goods Production Inputs Value of total Goods Production Inputs Value of total Goods Production Inputs 10602 366544288 497367.767 6190609.259 Value of total Other Production Expenditures Value of total Other Production Expenditures Value of total Other Production Expenditures Value of total Other Production Expenditures Value of total Other Production Expenditures Value of total Other Production Expenditures 10602 279986000 239281.221 3800644.098 Value of Compensation of Employees Value of Compensation of Employees Value of Compensation of Employees Value of Compensation of Employees Value of Compensation of Employees Value of Compensation of Employees 10602 288240000 375540.882 4429392.582 Percentage of exports to total production Percentage of exports to total production Percentage of exports to total production Percentage of exports to total production Percentage of exports to total production Percentage of exports to total production 6022 4580 100 4.071 16.841 Change in total production in 2019 for enterprise compare with 2018 Change in total production in 2019 for enterprise compare with 2018 Change in total production in 2019 for enterprise compare with 2018 Change in total production in 2019 for enterprise compare with 2018 Change in total production in 2019 for enterprise compare with 2018 Change in total production in 2019 for enterprise compare with 2018 6007 4595 1 Increase 2 Decrease 3 Not change Sysmiss Ratio of Change in total production in 2019 for enterprise compare with 2018 Ratio of Change in total production in 2019 for enterprise compare with 2018 Ratio of Change in total production in 2019 for enterprise compare with 2018 Ratio of Change in total production in 2019 for enterprise compare with 2018 Ratio of Change in total production in 2019 for enterprise compare with 2018 Ratio of Change in total production in 2019 for enterprise compare with 2018 3623 6979 -0.125 200 43.954 31.381 Final weight Final weight Final weight Final weight Final weight Final weight 10602 0.772 703.752 13.736 18.164