{"doc_desc":{"title":"WBG_2011_FLS_v01_M","idno":"DDI_WBG_2011_FLS_v01_M_WB","producers":[{"name":"World Bank","abbreviation":"","affiliation":"","role":""}],"prod_date":"2012-04-28"},"study_desc":{"title_statement":{"idno":"WBG_2011_FLS_v01_M","title":"Financial Literacy and Consumer Awareness Survey  2011","alt_title":"FLS 2011"},"authoring_entity":[{"name":"Riyada Consulting and Training","affiliation":""}],"production_statement":{"prod_date":"2012-04-28","funding_agencies":[{"name":"World Bank, Financial and Private Sector Development","abbreviation":"","role":""},{"name":"United States Agency for International Development","abbreviation":"USAID","role":""}]},"series_statement":{"series_name":"Other Household Health Survey [hh\/hea]"},"study_info":{"abstract":"The survey was commissioned by the World Bank and it is aligned with the objectives of the World Bank's (WB) Global Program on Consumer Protection and Financial literacy that was launched in 2010. The aim of the WB program is to help targeted countries achieve better consumer protection in financial services. The WB initiative has targeted both public and private sector agencies, and has sponsored comprehensive research projects with the objective of finding the best solutions for each individual country\/region. The survey focuses on financial services such as banking, insurance, microfinance in terms of credit, savings and payment systems, and was designed to identify the level of financial awareness and familiarity with financial services providers in the West Bank and Gaza. The survey also tried to identify appropriate methods for expanding consumer education and strengthening consumer rights in the West Bank and Gaza. \n\nIt is expected that the survey will support the objectives outlined by the Word Bank's Financial Governance\/Consumer Protection in Financial Services Program. A major objective of this survey is to provide regional data for the World Bank's multi-national database. Thus, the inherent strengths of this initiative is that it will allow regional stakeholders the opportunity to draw upon both local and international data. Local, international, small and large-scale strategies can then be formulated by comparing the diagnostic reviews of local data to that of other survey countries. By learning from the successes and failures of other survey countries, more effective mechanisms for the improvement of consumer protection and financial literacy in the West Bank and Gaza can be established.","coll_dates":[{"start":"2011-05","end":"2011-05","cycle":""}],"nation":[{"name":"West Bank and Gaza","abbreviation":"WBG"}],"geog_coverage":"National","analysis_unit":"Household, individual","universe":"The target population is comprised of all Palestinians of the age group 18 - 65 years old residing in the territories of the West Bank and Gaza.","data_kind":"Sample survey data [ssd]","notes":"The survey focuses on consumer protection and was designed with the goal of contributing to the development of the financial markets and national development agenda of the West Bank and Gaza. This supports the overall objective of the activity, which is to gather data to be used to develop a tool-kit for financial services and consumer protection in the West Bank and Gaza."},"method":{"data_collection":{"sampling_procedure":"The survey collected data from 2022 Palestinians in the West Bank and Gaza. The sample distribution was 66.8% West Bank and 33.2% Gaza Strip. \n\nSampling Frame \n\nThe sampling frame included all geographical locations in which the target population resides. The sampling frame was used to select the sample of locations for the survey. It also included the type of localities (urban, rural and refugee camps) and population size in each location. This information was taken into consideration in designing the survey sample. \n\nThe following table provides the distribution of Palestinian households by governorates according to data available on the Census of 2007: \n\nSampling Frame according to Number of Households: \n\nGovernorate Total Number of Households West Bank: \nJenin 47,437 \nTubas 9,004 \nTulkarem 29,938 \nNablus 59,663 \nQalqilia 16,483 \nSalfit 11,103 \nRamallah \nAl Bireh 52,834 \nJericho 7,615 \nJerusalem 70,434 \nBethlehem 32,667 \nHebron 89,919 \nSubtotal 427,097 \n\nGaza Strip: \nNorth Gaza 40,262 \nGaza 76,810 \nDeir Al Balah 32,083 \nKhan Yonis 43,203 \nRafah 26,863 \nSubtotal 219,221 \n\nTotal 646,318\n\nThe following table shows the distribution of Palestinian households according to type of locality: \n\nSampling Frame according to Type of Locality Type of Locality Number of Households \n\nUrban 472,736 \nRural 113,386 \nRefugee Camps 60,196 \n\nTotal 646,318\n\nThe frame was divided into strata depending on the homogeneity of the divided parts as follows:\nA) Governorates: 16 in the West Bank and Gaza.\nB) The type of locality: city, village and refugee camp.\n\nSample Design and Type\n\nThree Stage Stratified Cluster Sample of 2022 persons (2022 households). The sample design was as follows:\n1. Stage one: selection a sample of 60 representative localities covering all strata.\n2. Stage two: selection a random sample of Palestinian households from each location selected in the first stage.\n3. Stage three: random selection of one person from each household using Kish table within the age group of 18 years old and above. Half of the sample will be male and half is female respondents.\n\nSample Size\nThe sample size was 2022 persons from all Palestinian territories aged 18 years and above. Main regions covered by the sample are: the West Bank (excluding Ramallah), Ramallah and Gaza Strip. The sample was distributed as follows:\n\nRegion  \/ # of Households \n\nRamallah and Al Bireh 350 \nWest Bank 1000 \nGaza Strip 672 \nTotal 2022 \n\nThe margin of error in the main key variables is approximately 2.5% on the entire sample size and it should be bigger in the detailed domains.\n\nSample Representation:\n\nThe researchers ensured that the sample is representative of the following during the field work:\n\n1) Geographical representation: the sample distribution covers all governorates of the West Bank (including Jerusalem) and Gaza strip, thus provides a comprehensive geographical representation.\n2) Economic Activity: in general, Ramallah and Al Bireh governorate is considered the economic and commercial center and thus was given a higher weight in the sample compared to the rest of the localities.\n3) Economic Sectors: the sample covered different economical sectors such as employees of industrial, services and commercial sectors (usually in the main cities), workers in the agricultural sector (rural areas) and workers in the informal sector (mostly in Gaza).\n4) Poverty levels: the sample covers poor localities as provided by statistics. In general, Gaza is considered poorer than the West Bank. Also, refugee camps and some localities particularly in North West Bank are considered poorer than the rest of localities and the above sample distribution provides coverage of such localities.\n5) Age Groups: the sample covered all age groups above the age of 18. The reason behind selecting the starting age to be 18 is the fact that it is within this age that an individual is expected to become involved with financial transactions and thus will be dealing with financial services.\n6) Gender: the sample was gender balanced; half of the respondents were males and half were females. This corresponds with the gender distribution of the Palestinian Territories.\n7) Infrastructure: the sample covered central and remote localities to guarantee representation of poor versus good infrastructure and availability of services including financial services.","coll_mode":"Face-to-face [f2f]","research_instrument":"A standard questionnaire was previously developed by the World Bank and was adapted to the Palestinian context by Riyada Consulting. The questionnaire was also shared with local stakeholders such as the Palestinian Monetary Authority, USAID and other departments of the World Bank."}},"data_access":{"dataset_use":{"cit_req":"Use of the dataset must be acknowledged using a citation which would include:\n- the Identification of the Primary Investigator\n- the title of the survey (including country, acronym and year of implementation)\n- the survey reference number\n- the source and date of download","disclaimer":"The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses."}}},"schematype":"survey","tags":[{"tag":"noDOI"}]}