{"type":"survey","doc_desc":{"title":"WLD_2013_GWP-JUN_v01_M","idno":"DDI_WLD_2013_GWP-JUN_v02_M","producers":[{"name":"Olivier Dupriez","abbreviation":"","affiliation":"World Bank","role":""}],"prod_date":"2013-07-25","version_statement":{"version":"DDI Document - Version 02 - (04\/21\/21)\n This version is identical to DDI_WLD_2013_GWP-JUN_v01_M but country field has been updated to capture all the countries covered by survey."}},"study_desc":{"title_statement":{"idno":"WLD_2013_GWP-JUN_v01_M","title":"Gallup World Poll 2013","sub_title":"June"},"authoring_entity":[{"name":"Gallup, Inc.","affiliation":""}],"production_statement":{"prod_date":"2013-07-25"},"distribution_statement":{"depositor":[{"name":"","abbreviation":"","affiliation":""}]},"version_statement":{"version_date":"2013-06"},"study_info":{"abstract":"Gallup Worldwide Research continually surveys residents in more than 150 countries, representing more than 98% of the world's adult population, using randomly selected, nationally representative samples. Gallup typically surveys 1,000 individuals in each country, using a standard set of core questions that has been translated into the major languages of the respective country. In some regions, supplemental questions are asked in addition to core questions. Face-to-face interviews are approximately 1 hour, while telephone interviews are about 30 minutes. In many countries, the survey is conducted once per year, and fieldwork is generally completed in two to four weeks. The Country Dataset Details spreadsheet displays each country's sample size, month\/year of the data collection, mode of interviewing, languages employed, design effect, margin of error, and details about sample coverage. \n\nGallup is entirely responsible for the management, design, and control of Gallup Worldwide Research. For the past 70 years, Gallup has been committed to the principle that accurately collecting and disseminating the opinions and aspirations of people around the globe is vital to understanding our world. Gallup's mission is to provide information in an objective, reliable, and scientifically grounded manner. Gallup is not associated with any political orientation, party, or advocacy group and does not accept partisan entities as clients. Any individual, institution, or governmental agency may access the Gallup Worldwide Research regardless of nationality. The identities of clients and all surveyed respondents will remain confidential.","coll_dates":[{"start":"2005","end":"2012","cycle":""}],"nation":[{"name":"Afghanistan","abbreviation":"AFG"},{"name":"Angola","abbreviation":"AGO"},{"name":"Albania","abbreviation":"ALB"},{"name":"Andorra","abbreviation":"AND"},{"name":"United Arab Emirates","abbreviation":"ARE"},{"name":"Argentina","abbreviation":"ARG"},{"name":"Armenia","abbreviation":"ARM"},{"name":"Australia","abbreviation":"AUS"},{"name":"Austria","abbreviation":"AUT"},{"name":"Azerbaijan","abbreviation":"AZE"},{"name":"Azerbaijan","abbreviation":"AZE"},{"name":"Burundi","abbreviation":"BDI"},{"name":"Belgium","abbreviation":"BEL"},{"name":"Benin","abbreviation":"BEN"},{"name":"Burkina Faso","abbreviation":"BFA"},{"name":"Bulgaria","abbreviation":"BGR"},{"name":"Bahrain","abbreviation":"BHR"},{"name":"Bahamas, The","abbreviation":"BHS"},{"name":"Bosnia and Herzegovina","abbreviation":"BIH"},{"name":"Bolivia","abbreviation":"BOL"},{"name":"Brazil","abbreviation":"BRA"},{"name":"Barbados","abbreviation":"BRB"},{"name":"Bhutan","abbreviation":"BTN"},{"name":"Botswana","abbreviation":"BWA"},{"name":"Central African Republic","abbreviation":"CAF"},{"name":"Canada","abbreviation":"CAN"},{"name":"Switzerland","abbreviation":"CHE"},{"name":"Chile","abbreviation":"CHL"},{"name":"China","abbreviation":"CHN"},{"name":"C\u00f4te d'Ivoire","abbreviation":"CIV"},{"name":"Cameroon","abbreviation":"CMR"},{"name":"Colombia","abbreviation":"COL"},{"name":"Comoros","abbreviation":"COM"},{"name":"Cabo Verde","abbreviation":"CPV"},{"name":"Costa Rica","abbreviation":"CRI"},{"name":"Cuba","abbreviation":"CUB"},{"name":"Cyprus","abbreviation":"CYP"},{"name":"Cyprus","abbreviation":"CYP"},{"name":"Czech Republic","abbreviation":"CZE"},{"name":"Germany","abbreviation":"DEU"},{"name":"Djibouti","abbreviation":"DJI"},{"name":"Dominica","abbreviation":"DMA"},{"name":"Denmark","abbreviation":"DNK"},{"name":"Dominican Republic","abbreviation":"DOM"},{"name":"Algeria","abbreviation":"DZA"},{"name":"Ecuador","abbreviation":"ECU"},{"name":"Egypt, Arab Rep.","abbreviation":"EGY"},{"name":"Spain","abbreviation":"ESP"},{"name":"Estonia","abbreviation":"EST"},{"name":"Ethiopia","abbreviation":"ETH"},{"name":"Finland","abbreviation":"FIN"},{"name":"Fiji","abbreviation":"FJI"},{"name":"France","abbreviation":"FRA"},{"name":"Micronesia, Fed. Sts.","abbreviation":"FSM"},{"name":"Gabon","abbreviation":"GAB"},{"name":"United Kingdom","abbreviation":"GBR"},{"name":"Georgia","abbreviation":"GEO"},{"name":"Ghana","abbreviation":"GHA"},{"name":"Guinea","abbreviation":"GIN"},{"name":"Guinea-Bissau","abbreviation":"GNB"},{"name":"Equatorial Guinea","abbreviation":"GNQ"},{"name":"Greece","abbreviation":"GRC"},{"name":"Grenada","abbreviation":"GRD"},{"name":"Guatemala","abbreviation":"GTM"},{"name":"Guyana","abbreviation":"GUY"},{"name":"Hong Kong SAR, China","abbreviation":"HKG"},{"name":"Honduras","abbreviation":"HND"},{"name":"Croatia","abbreviation":"HRV"},{"name":"Haiti","abbreviation":"HTI"},{"name":"Hungary","abbreviation":"HUN"},{"name":"Indonesia","abbreviation":"IDN"},{"name":"India","abbreviation":"IND"},{"name":"Ireland","abbreviation":"IRL"},{"name":"Iran, Islamic Rep.","abbreviation":"IRN"},{"name":"Iraq","abbreviation":"IRQ"},{"name":"Iceland","abbreviation":"ISL"},{"name":"Israel","abbreviation":"ISR"},{"name":"Italy","abbreviation":"ITA"},{"name":"Jamaica","abbreviation":"JAM"},{"name":"Jordan","abbreviation":"JOR"},{"name":"Japan","abbreviation":"JPN"},{"name":"Kazakhstan","abbreviation":"KAZ"},{"name":"Kenya","abbreviation":"KEN"},{"name":"Kyrgyz Republic","abbreviation":"KGZ"},{"name":"Cambodia","abbreviation":"KHM"},{"name":"Kiribati","abbreviation":"KIR"},{"name":"St. Kitts and Nevis","abbreviation":"KNA"},{"name":"Korea, Rep.","abbreviation":"KOR"},{"name":"Kosovo","abbreviation":"KSV"},{"name":"Kuwait","abbreviation":"KWT"},{"name":"Lao PDR","abbreviation":"LAO"},{"name":"Lebanon","abbreviation":"LBN"},{"name":"Liberia","abbreviation":"LBR"},{"name":"Libya","abbreviation":"LBY"},{"name":"St. Lucia","abbreviation":"LCA"},{"name":"Sri Lanka","abbreviation":"LKA"},{"name":"Lesotho","abbreviation":"LSO"},{"name":"Lithuania","abbreviation":"LTU"},{"name":"Luxembourg","abbreviation":"LUX"},{"name":"Latvia","abbreviation":"LVA"},{"name":"Morocco","abbreviation":"MAR"},{"name":"Monaco","abbreviation":"MCO"},{"name":"Moldova","abbreviation":"MDA"},{"name":"Madagascar","abbreviation":"MDG"},{"name":"Maldives","abbreviation":"MDV"},{"name":"Mexico","abbreviation":"MEX"},{"name":"Marshall Islands","abbreviation":"MHL"},{"name":"North Macedonia","abbreviation":"MKD"},{"name":"Mali","abbreviation":"MLI"},{"name":"Malta","abbreviation":"MLT"},{"name":"Myanmar","abbreviation":"MMR"},{"name":"Montenegro","abbreviation":"MNE"},{"name":"Mongolia","abbreviation":"MNG"},{"name":"Mozambique","abbreviation":"MOZ"},{"name":"Mauritania","abbreviation":"MRT"},{"name":"Mauritius","abbreviation":"MUS"},{"name":"Malawi","abbreviation":"MWI"},{"name":"Malaysia","abbreviation":"MYS"},{"name":"Namibia","abbreviation":"NAM"},{"name":"Niger","abbreviation":"NER"},{"name":"Nigeria","abbreviation":"NGA"},{"name":"Nicaragua","abbreviation":"NIC"},{"name":"Netherlands","abbreviation":"NLD"},{"name":"Norway","abbreviation":"NOR"},{"name":"Nepal","abbreviation":"NPL"},{"name":"Nauru","abbreviation":"NRU"},{"name":"New Zealand","abbreviation":"NZL"},{"name":"Oman","abbreviation":"OMN"},{"name":"Pakistan","abbreviation":"PAK"},{"name":"Panama","abbreviation":"PAN"},{"name":"Peru","abbreviation":"PER"},{"name":"Philippines","abbreviation":"PHL"},{"name":"Palau","abbreviation":"PLW"},{"name":"Poland","abbreviation":"POL"},{"name":"Puerto Rico","abbreviation":"PRI"},{"name":"Korea, Dem. Rep.","abbreviation":"PRK"},{"name":"Portugal","abbreviation":"PRT"},{"name":"Paraguay","abbreviation":"PRY"},{"name":"Qatar","abbreviation":"QAT"},{"name":"Romania","abbreviation":"ROU"},{"name":"Russian Federation","abbreviation":"RUS"},{"name":"Rwanda","abbreviation":"RWA"},{"name":"Saudi Arabia","abbreviation":"SAU"},{"name":"Sudan","abbreviation":"SDN"},{"name":"Senegal","abbreviation":"SEN"},{"name":"Singapore","abbreviation":"SGP"},{"name":"Solomon Islands","abbreviation":"SLB"},{"name":"Sierra Leone","abbreviation":"SLE"},{"name":"El Salvador","abbreviation":"SLV"},{"name":"San Marino","abbreviation":"SMR"},{"name":"Somalia","abbreviation":"SOM"},{"name":"Serbia","abbreviation":"SRB"},{"name":"Suriname","abbreviation":"SUR"},{"name":"Slovak Republic","abbreviation":"SVK"},{"name":"Slovenia","abbreviation":"SVN"},{"name":"Sweden","abbreviation":"SWE"},{"name":"Eswatini","abbreviation":"SWZ"},{"name":"Seychelles","abbreviation":"SYC"},{"name":"Syrian Arab Republic","abbreviation":"SYR"},{"name":"Chad","abbreviation":"TCD"},{"name":"Togo","abbreviation":"TGO"},{"name":"Thailand","abbreviation":"THA"},{"name":"Tajikistan","abbreviation":"TJK"},{"name":"Turkmenistan","abbreviation":"TKM"},{"name":"Timor-Leste","abbreviation":"TLS"},{"name":"Tonga","abbreviation":"TON"},{"name":"Trinidad and Tobago","abbreviation":"TTO"},{"name":"Tunisia","abbreviation":"TUN"},{"name":"Turkiye","abbreviation":"TUR"},{"name":"Tuvalu","abbreviation":"TUV"},{"name":"Taiwan, China","abbreviation":"TWN"},{"name":"Tanzania","abbreviation":"TZA"},{"name":"Uganda","abbreviation":"UGA"},{"name":"Ukraine","abbreviation":"UKR"},{"name":"Uruguay","abbreviation":"URY"},{"name":"United States","abbreviation":"USA"},{"name":"Uzbekistan","abbreviation":"UZB"},{"name":"St. Vincent & Grenadines","abbreviation":"VCT"},{"name":"Venezuela, RB","abbreviation":"VEN"},{"name":"Vietnam","abbreviation":"VNM"},{"name":"Vanuatu","abbreviation":"VUT"},{"name":"West Bank and Gaza","abbreviation":"WBG"},{"name":"Samoa","abbreviation":"WSM"},{"name":"Yemen, Rep.","abbreviation":"YEM"},{"name":"South Africa","abbreviation":"ZAF"},{"name":"Zambia","abbreviation":"ZMB"}],"data_kind":"Sample survey data [ssd]"},"method":{"data_collection":{"sampling_procedure":"SAMPLING AND DATA COLLECTION METHODOLOGY \nWith some exceptions, all samples are probability based and nationally representative of the resident population aged 15 and older. The coverage area is the entire country including rural areas, and the sampling frame represents the entire civilian, non-institutionalized, aged 15 and older population of the entire country. Exceptions include areas where the safety of interviewing staff is threatened, scarcely populated islands in some countries, and areas that interviewers can reach only by foot, animal, or small boat. \n\nTelephone surveys are used in countries where telephone coverage represents at least 80% of the population or is the customary survey methodology (see the Country Dataset Details for detailed information for each country). In Central and Eastern Europe, as well as in the developing world, including much of Latin America, the former Soviet Union countries, nearly all of Asia, the Middle East, and Africa, an area frame design is used for face-to-face interviewing. \n\nThe typical Gallup Worldwide Research survey includes at least 1,000 surveys of individuals. In some countries, oversamples are collected in major cities or areas of special interest. Additionally, in some large countries, such as China and Russia, sample sizes of at least 2,000 are collected. Although rare, in some instances the sample size is between 500 and 1,000. See the Country Dataset Details for detailed information for each country. \n\nFACE-TO-FACE SURVEY DESIGN \n\nFIRST STAGE \nIn countries where face-to-face surveys are conducted, the first stage of sampling is the identification of 100 to 135 ultimate clusters (Sampling Units), consisting of clusters of households. Sampling units are stratified by population size and or geography and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size, otherwise simple random sampling is used. Samples are drawn independent of any samples drawn for surveys conducted in previous years. \n\nThere are two methods for sample stratification: \n\nMETHOD 1: \nThe sample is stratified into 100 to 125 ultimate clusters drawn proportional to the national population, using the following strata: \n1) Areas with population of at least 1 million \n2) Areas 500,000-999,999 \n3) Areas 100,000-499,999 \n4) Areas 50,000-99,999 \n5) Areas 10,000-49,999 \n6) Areas with less than 10,000 \n\nThe strata could include additional stratum to reflect populations that exceed 1 million as well as areas with populations less than 10,000. Worldwide Research Methodology and Codebook \nCopyright \u00a9 2008-2012 Gallup, Inc. All rights reserved. 8 \n\nMETHOD 2: \n\nA multi-stage design is used. The country is first stratified by large geographic units, and then by smaller units within geography. A minimum of 33 Primary Sampling Units (PSUs), which are first stage sampling units, are selected. The sample design results in 100 to 125 ultimate clusters. \n\nSECOND STAGE \n\nRandom route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day, and where possible, on different days. If an interviewer cannot obtain an interview at the initial sampled household, he or she uses a simple substitution method. Refer to Appendix C for a more in-depth description of random route procedures. \n\nTHIRD STAGE \n\nRespondents are randomly selected within the selected households. Interviewers list all eligible household members and their ages or birthdays. The respondent is selected by means of the Kish grid (refer to Appendix C) in countries where face-to-face interviewing is used. The interview does not inform the person who answers the door of the selection criteria until after the respondent has been identified. In a few Middle East and Asian countries where cultural restrictions dictate gender matching, respondents are randomly selected using the Kish grid from among all eligible adults of the matching gender. \n\n\nTELEPHONE SURVEY DESIGN \n\nIn countries where telephone interviewing is employed, random-digit-dial (RDD) or a nationally representative list of phone numbers is used. In select countries where cell phone penetration is high, a dual sampling frame is used. Random respondent selection is achieved by using either the latest birthday or Kish grid method. At least three attempts are made to reach a person in each household, spread over different days and times of day. Appointments for callbacks that fall within the survey data collection period are made. \n\n\nPANEL SURVEY DESIGN \n\nPrior to 2009, United States data were collected using The Gallup Panel. The Gallup Panel is a probability-based, nationally representative panel, for which all members are recruited via random-digit-dial methodology and is only used in the United States. Participants who elect to join the panel are committing to the completion of two to three surveys per month, with the typical survey lasting 10 to 15 minutes. The Gallup Worldwide Research panel survey is conducted over the telephone and takes approximately 30 minutes. No incentives are given to panel participants. Worldwide Research Methodology and Codebook \nCopyright \u00a9 2008-2012 Gallup, Inc. All rights reserved. 9","research_instrument":"QUESTION DESIGN \n\nMany of the Worldwide Research questions are items that Gallup has used for years. When developing additional questions, Gallup employed its worldwide network of research and political scientists1 to better understand key issues with regard to question development and construction and data gathering. Hundreds of items were developed, tested, piloted, and finalized. The best questions were retained for the core questionnaire and organized into indexes. Most items have a simple dichotomous (\"yes or no\") response set to minimize contamination of data because of cultural differences in response styles and to facilitate cross-cultural comparisons. \n\nThe Gallup Worldwide Research measures key indicators such as Law and Order, Food and Shelter, Job Creation, Migration, Financial Wellbeing, Personal Health, Civic Engagement, and Evaluative Wellbeing and demonstrates their correlations with world development indicators such as GDP and Brain Gain. These indicators assist leaders in understanding the broad context of national interests and establishing organization-specific correlations between leading indexes and lagging economic outcomes. \n\nGallup organizes its core group of indicators into the Gallup World Path. The Path is an organizational conceptualization of the seven indexes and is not to be construed as a causal model. The individual indexes have many properties of a strong theoretical framework. A more in-depth description of the questions and Gallup indexes is included in the indexes section of this document. In addition to World Path indexes, Gallup Worldwide Research questions also measure opinions about national institutions, corruption, youth development, community basics, diversity, optimism, communications, religiosity, and numerous other topics. For many regions of the world, additional questions that are specific to that region or country are included in surveys. Region-specific questions have been developed for predominantly Muslim nations, former Soviet Union countries, the Balkans, sub-Saharan Africa, Latin America, China and India, South Asia, and Israel and the Palestinian Territories. \n\nThe questionnaire is translated into the major conversational languages of each country. The translation process starts with an English, French, or Spanish version, depending on the region. One of two translation methods may be used. \n\nMETHOD 1: \nTwo independent translations are completed. An independent third party, with some knowledge of survey research methods, adjudicates the differences. A professional translator translates the final version back into the source language. \n\nMETHOD 2: \nA translator translates into the target language, and an independent translator back-translates to the source language. An independent third party with knowledge of survey methods reviews and revises the translation as necessary. \nInterviewers are instructed to follow the script of the interview and may not deviate from the translated language.","coll_situation":"TRAINING AND FIELD QUALITY CONTROL \n\nGallup selects vendors based on experience in nationwide survey research studies and conducts in-depth training sessions with local field staff prior to the start of data collection. To assist the fieldwork team with training and to ensure consistency and structure, Gallup provides a standardized training manual. Topics covered in training include the following: \n\n1. Rules for conducting a quality interview: \n a. Reading verbatim \n b. Closed-ended questions \n c. Open-ended questions \n d. Read and rotate \n e. Skip patterns \n f. Probing \n\n2. Random route procedures: \n a. Selecting a starting point \n b. Household selection \n c. Main households and substitutions \n d. Within household selection \n e. Kish grid \n f. Tracking sheets \n\nGallup follows ESOMAR standards for quality control that at minimum includes 30% quality control. The supervisor accompanies each interviewer for one full interview within the first two days of interviewing. The supervisor accompanies interviews on a minimum of 5% of subsequent interviews. Interviewers re-contact a minimum of 15% of households to ensure correct execution of random route procedures and within household selection.","weight":"Data weighting is used to ensure a nationally representative sample for each country and is intended to be used for calculations within a country. \n\nFirst, base sampling weights are constructed to account for oversamples and household size. If an oversample has been conducted, the data are weighted to correct the disproportionate sample. Weighting by household size (number of residents aged 15 and older) is used to adjust for the probability of selection, as residents in large households will have a disproportionately lower probability of being selected for the sample. (Weighting by household size was introduced for data collected in 2008.) \n\nSecond, post-stratification weights are constructed. Population statistics are used to weight the data by gender, age, and, where reliable data are available, education or socioeconomic status. \nFinally, approximate study design effect and margin of error are calculated (calculations are presented in the Country Dataset Details). The design effect calculation reflects the influence of data weighting and does not incorporate the intraclass correlation coefficients.","cleaning_operations":"The data set goes through a rigorous quality assurance process before being publicly released. Gallup's directors of survey research in each region of the world review the data for consistency and stability by interviewer and region. If the regional director suspects a problem, it may be necessary to collect new data. After review by the regional directors, Gallup scientists perform additional validity reviews. The data are centrally aggregated and cleaned, ensuring correct variable codes and labels are applied. The data are then reviewed in detail for logical consistency and trends over time. Once the data are cleaned, weighted, and vetted, the final step is to calculate approximate study design effect and margin of error.","method_notes":"EDUCATION AND INCOME: CREATING WORLDWIDE COMPARABILITY \n\nThe manners in which income and education are reported vary by country, making equivalent cross-cultural comparisons difficult. Gallup harmonized education variables and consulted with Angus Deaton2 to create income variables. In doing so, Gallup has created a worldwide data set with standardized respondent-level income data. \n\nEDUCATION \n\nCountries have unique ways of classifying education levels, and these classifications need to be preserved during data collection for weighting purposes. However, to make comparisons across countries by educational attainment, consistent categories also needed to be created. All education descriptions can be placed within three categories: elementary, secondary, and tertiary. All responses regarding education are coded into their relevant category for global comparison. \n? Elementary: Completed elementary education or less (up to eight years of basic education) \n? Secondary: Completed some secondary education up to three years tertiary education (9 to 15 years of education) \n? Tertiary: Completed four years of education beyond \"high school\" and\/or received a four-year college degree \n\nINCOME \n\nThe following income variables are calculated: \n? annual household income in international dollars (ID) (INC_001) \n? annual household income in local currency divided into quintiles (INC_004) \n\nAnnual household income in international dollars (ID) (INC_001) is calculated using the Individual Consumption Expenditure by Household PPP ratio from table 1 of the World Bank Global Purchasing Power Parities and Real Expenditures 2005 International Comparison Program (ICP-iceh) report. The ICP-iceh 2005 PPP values are adjusted for inflation relative to the United States for years 2006, 2007, and 2008 to arrive at the 2009 PPP. Household income values in local currency are divided by the ICP-iceh PPP ratio to obtain ID. For those countries not covered by the World Bank ICP, GDP-based PPPs from the CIA World Factbook are used. Using aggregated data through 2008, a Pearson Correlation of .94 with the World Bank estimate of per-capita GDP (PPP) has been achieved. \n\nThe result is a final measure of household wealth comparable across all respondents, communities, local regions, countries, and global regions. A respondent reporting a household income of $1,000 ID has twice the income of one reporting $500 ID. \n\nIn addition to the continuous ID variable, categorical income variables are constructed. One such measure is annual household income in local currency, divided into quintiles. This measure of wealth is relative to the country in which one lives. It provides a within-country measure of wealth, as opposed to the continuous ID variable, which provides an absolute look at wealth in a worldwide context. The local currency variable for each country is cleaned and each respondent assigned to one of five categories based on the respondent's position in the income distribution of the country. Refer to Appendix D for more specific information about the income brackets."},"analysis_info":{"sampling_error_estimates":"MARGIN OF ERROR \n\nThe maximum margin of error is calculated around reported proportions for each country-level data set, assuming a 95% confidence level. The margin of error also includes the approximate design effect for the total country sample.","data_appraisal":"Other errors that can affect survey validity include measurement error associated with the questionnaire, such as translation issues, and coverage error, where a part of the target population has a zero probability of being selected for the survey. Additionally, because of authoritarian governments in select countries, respondents may be less than forthcoming in their assessments, leading to the potential for inflated scores."}},"data_access":{"dataset_use":{"conditions":"Licenses to use the dataset have been purchased by various departments at the World Bank. The licenses are individual and cannot be shared among staff. One staff at DECDG has a license and is authorized to run tabulation\/analysis programs for other departments (as cross support). A dummy data file is provided to allow staff to write their programs (DECDG requires programs to be written in Stata). Contact odupriez@worldbank.org - ext. 39795). The Dummy file contains all variables, but only a small subset of records.","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","data_files":[{"file_id":"F1","file_name":"The_Gallup_062813","description":null,"case_count":"1099283","var_count":"2403","producer":null,"data_checks":null,"missing_data":null,"version":null,"notes":null,"metadata":null}],"variables":[{"file_id":"F1","vid":"V1","name":"wp5889","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"1","loc_end_pos":"12","loc_width":"12","loc_rec_seg_no":"1","labl":"WP5889 Questionnaire 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Gallup's unemployment measure is comparable to BLS and International Labour Organization unemployment calculations.","var_catgry":[{"value":"0","labl":null,"is_missing":null,"stats":[{"value":"352423","type":"freq","wgtd":null}]},{"value":"1","labl":"1 Index Score","is_missing":null,"stats":[{"value":"39722","type":"freq","wgtd":null}]},{"value":"Sysmiss","labl":null,"is_missing":"Y","stats":[{"value":"707138","type":"freq","wgtd":null}]}],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":"1","max":"1"},"fid":"F1"},{"file_id":"F1","vid":"V15","name":"INC_001","var_intrvl":"contin","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"115","loc_end_pos":"127","loc_width":"13","loc_rec_seg_no":"1","labl":"INC_001 Household Income (International Dollars)","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[{"value":"841139","type":"vald","wgtd":null},{"value":"258144","type":"invd","wgtd":null},{"value":"0","type":"min","wgtd":null},{"value":"4548484.848","type":"max","wgtd":null}],"var_txt":null,"var_catgry":[],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":"12273.0711043873","max":"154640.69591528"},"fid":"F1"},{"file_id":"F1","vid":"V16","name":"INC_004","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"128","loc_end_pos":"128","loc_width":"1","loc_rec_seg_no":"1","labl":"INC_004 Household Income Within Country Quintiles","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[{"value":"906091","type":"vald","wgtd":null},{"value":"193192","type":"invd","wgtd":null},{"value":"1","type":"min","wgtd":null},{"value":"5","type":"max","wgtd":null}],"var_txt":null,"var_catgry":[{"value":"1","labl":"1 Poorest 20%","is_missing":null,"stats":[{"value":"186905","type":"freq","wgtd":null}]},{"value":"2","labl":"2 Second 20%","is_missing":null,"stats":[{"value":"181359","type":"freq","wgtd":null}]},{"value":"3","labl":"3 Middle 20%","is_missing":null,"stats":[{"value":"182435","type":"freq","wgtd":null}]},{"value":"4","labl":"4 Fourth 20%","is_missing":null,"stats":[{"value":"175704","type":"freq","wgtd":null}]},{"value":"5","labl":"5 Richest 20%","is_missing":null,"stats":[{"value":"179688","type":"freq","wgtd":null}]},{"value":"Sysmiss","labl":null,"is_missing":"Y","stats":[{"value":"193192","type":"freq","wgtd":null}]}],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":"1","max":"5"},"fid":"F1"},{"file_id":"F1","vid":"V17","name":"INDEX_CA","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"129","loc_end_pos":"131","loc_width":"3","loc_rec_seg_no":"1","labl":"INDEX_CA Community Attachment Index","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[{"value":"926996","type":"vald","wgtd":null},{"value":"172287","type":"invd","wgtd":null},{"value":"0","type":"min","wgtd":null},{"value":"100","type":"max","wgtd":null}],"var_txt":"The Community Attachment Index measures respondents' satisfaction with the city or area where they live and their likelihood to move away or recommend that city or area to a friend. \n\nINDEX QUESTIONS \n- Are you satisfied or dissatisfied with the city or area where you live? (WP83) \n- In the next 12 months, are you likely or unlikely to move away from the city or area where you live? (WP85) \n- Would you recommend the city or area where you live to a friend or associate as a place to live, or not? (WP86) \n\nINDEX CONSTRUCTION \nIndex scores are calculated at the individual record level. For each individual the following procedure applies: The three items are recoded so that favorable answers are scored as a \"1\" and all other answers (including don't know or refused) are a \"0.\" If a record has no answer for an item, then that item is not eligible for inclusion in the calculations. An individual record has an index calculated if it has two valid scores (0 or 1). The record's final score is the mean of valid items multiplied by 100. The final country-level index score is the mean of all individual records for which an index score was calculated. Country-level weights are applied to this calculation. \n\nRELIABILITY \nThe Community Attachment Index has a Cronbach's alpha of .76 when aggregated at the country level.","var_catgry":[{"value":"0","labl":null,"is_missing":null,"stats":[{"value":"54285","type":"freq","wgtd":null}]},{"value":"1","labl":"1 Index Score","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"33.3333333333333","labl":null,"is_missing":null,"stats":[{"value":"138159","type":"freq","wgtd":null}]},{"value":"50","labl":null,"is_missing":null,"stats":[{"value":"6554","type":"freq","wgtd":null}]},{"value":"66.6666666666667","labl":null,"is_missing":null,"stats":[{"value":"238038","type":"freq","wgtd":null}]},{"value":"100","labl":null,"is_missing":null,"stats":[{"value":"489960","type":"freq","wgtd":null}]},{"value":"Sysmiss","labl":null,"is_missing":"Y","stats":[{"value":"172287","type":"freq","wgtd":null}]}],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":"1","max":"1"},"fid":"F1"},{"file_id":"F1","vid":"V18","name":"INDEX_CB","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"132","loc_end_pos":"134","loc_width":"3","loc_rec_seg_no":"1","labl":"INDEX_CB Community Basics Index","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[{"value":"959775","type":"vald","wgtd":null},{"value":"139508","type":"invd","wgtd":null},{"value":"0","type":"min","wgtd":null},{"value":"100","type":"max","wgtd":null}],"var_txt":"The Community Basics Index evaluates everyday life in a community, including environment, housing, and infrastructure. \n\nBecause of the functional nature of the items that make up the index, it is practical to view it as a driver of more abstract constructs such as overall satisfaction with life in a community, or the likelihood that one is to recommend the community as a place to live, or the likelihood one is to leave the community. This approach is apparent in the relationships the index has with other Gallup Worldwide Research indexes such as National Institutions and the Wellbeing indexes. \n\nFrom an external perspective, the index correlates with a long list of quality of life measures, including personal communications measures, sanitation quality, the Human Development Index, child mortality and adolescent fertility rates, and poverty rates. \n\nINDEX QUESTIONS \n- In the city or area where you live, are you satisfied or dissatisfied with the public transportation systems? (WP91) \n- In the city or area where you live, are you satisfied or dissatisfied with the roads and highways? (WP92) \n- In your city or area where you live, are you satisfied or dissatisfied with the quality of air? (WP94) \n- In your city or area where you live, are you satisfied or dissatisfied with the quality of water? (WP95) \n- In your city or area where you live, are you satisfied or dissatisfied with the availability of good affordable housing? (WP98) \n- In the city or area where you live, are you satisfied or dissatisfied with the educational system or the schools? (WP93) \n- In the city or area where you live, are you satisfied or dissatisfied with the availability of quality healthcare? (WP97) \n\nINDEX CONSTRUCTION \nIndex scores are calculated at the individual record level. For each individual record the following procedure applies: The six items are recoded so that positive answers are scored as a \"1\" and all other answers (including don't know and refused) are assigned a score of \"0.\" If a record has no answer for an item, then that item is not eligible for inclusion in the calculations. An individual record has an index calculated if it has valid scores for at least four of the seven items. A record's final index score is the mean of valid items multiplied by 100. The final country-level index score is the mean of all individual records for which an index score was calculated. Country-level weights are applied to this calculation. \n\nRELIABILITY \nThe Community Basics Index has a Cronbach's alpha of .90 when aggregated at the country level.","var_catgry":[{"value":"0","labl":null,"is_missing":null,"stats":[{"value":"50539","type":"freq","wgtd":null}]},{"value":"1","labl":"1 Index Score","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"14.2857142857143","labl":null,"is_missing":null,"stats":[{"value":"62988","type":"freq","wgtd":null}]},{"value":"16.6666666666667","labl":null,"is_missing":null,"stats":[{"value":"1165","type":"freq","wgtd":null}]},{"value":"20","labl":null,"is_missing":null,"stats":[{"value":"3974","type":"freq","wgtd":null}]},{"value":"28.5714285714286","labl":null,"is_missing":null,"stats":[{"value":"99084","type":"freq","wgtd":null}]},{"value":"33.3333333333333","labl":null,"is_missing":null,"stats":[{"value":"1784","type":"freq","wgtd":null}]},{"value":"40","labl":null,"is_missing":null,"stats":[{"value":"7345","type":"freq","wgtd":null}]},{"value":"42.8571428571429","labl":null,"is_missing":null,"stats":[{"value":"125523","type":"freq","wgtd":null}]},{"value":"50","labl":null,"is_missing":null,"stats":[{"value":"2203","type":"freq","wgtd":null}]},{"value":"57.1428571428571","labl":null,"is_missing":null,"stats":[{"value":"145292","type":"freq","wgtd":null}]},{"value":"60","labl":null,"is_missing":null,"stats":[{"value":"10654","type":"freq","wgtd":null}]},{"value":"66.6666666666667","labl":null,"is_missing":null,"stats":[{"value":"2880","type":"freq","wgtd":null}]},{"value":"71.4285714285714","labl":null,"is_missing":null,"stats":[{"value":"151701","type":"freq","wgtd":null}]},{"value":"80","labl":null,"is_missing":null,"stats":[{"value":"12334","type":"freq","wgtd":null}]},{"value":"83.3333333333333","labl":null,"is_missing":null,"stats":[{"value":"3109","type":"freq","wgtd":null}]},{"value":"85.7142857142857","labl":null,"is_missing":null,"stats":[{"value":"134523","type":"freq","wgtd":null}]},{"value":"100","labl":null,"is_missing":null,"stats":[{"value":"144677","type":"freq","wgtd":null}]},{"value":"Sysmiss","labl":null,"is_missing":"Y","stats":[{"value":"139508","type":"freq","wgtd":null}]}],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":"0","max":"100"},"fid":"F1"},{"file_id":"F1","vid":"V19","name":"INDEX_CE","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"135","loc_end_pos":"137","loc_width":"3","loc_rec_seg_no":"1","labl":"INDEX_CE Civic Engagement Index","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[{"value":"953381","type":"vald","wgtd":null},{"value":"145902","type":"invd","wgtd":null},{"value":"0","type":"min","wgtd":null},{"value":"100","type":"max","wgtd":null}],"var_txt":"The Civic Engagement Index assesses respondents' inclination to volunteer their time and assistance to others. It is designed to measure a respondent's commitment to the community where he or she lives. \n\nThe Civic Engagement Index is strongly correlated with community-focused Gallup Worldwide Research indexes: Community Institutions, Job Climate, and measures of wellbeing. Externally, the Civic Engagement Index is linked to measures of the economic environment such as per-capita GDP (PPP) and long-term unemployment, as well as measures that are indicative of a wealthier community such as information and technology expenditure and healthcare expenditures. Also of interest are the relationships between this index and measures of economic equality. \n\nINDEX QUESTIONS \n- Have you done any of the following in the past month? How about donated money to a charity? (WP108) \n- Have you done any of the following in the past month? How about volunteered your time to an organization? (WP109) \n- Have you done any of the following in the past month? How about helped a stranger or someone you didn't know who needed help? (WP110) \n\nINDEX CONSTRUCTION \nIndex scores are calculated at the individual record level. For each individual record the following procedure applies: The three items are recoded so that positive (or favorable) answers are scored as a \"1\" and all other answers (including don't know and refused) are assigned a score of \"0.\" If a record has no answer for an item, then that item is not eligible for inclusion in the calculations. An individual record has an index calculated if it has scores for at least two items (0 or 1). A record's final index score is the mean of valid items multiplied by 100. The final country-level index score is the mean of all individual records for which an index score was calculated. Country-level weights are applied to this calculation. \n\nRELIABILITY \nThe Civic Engagement Index has a Cronbach's alpha of .81 when aggregated at the country level.","var_catgry":[{"value":"0","labl":null,"is_missing":null,"stats":[{"value":"378852","type":"freq","wgtd":null}]},{"value":"1","labl":"1 Index Score","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"33.3333333333333","labl":null,"is_missing":null,"stats":[{"value":"312310","type":"freq","wgtd":null}]},{"value":"50","labl":null,"is_missing":null,"stats":[{"value":"3351","type":"freq","wgtd":null}]},{"value":"66.6666666666667","labl":null,"is_missing":null,"stats":[{"value":"185136","type":"freq","wgtd":null}]},{"value":"100","labl":null,"is_missing":null,"stats":[{"value":"73732","type":"freq","wgtd":null}]},{"value":"Sysmiss","labl":null,"is_missing":"Y","stats":[{"value":"145902","type":"freq","wgtd":null}]}],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":"1","max":"1"},"fid":"F1"},{"file_id":"F1","vid":"V20","name":"INDEX_CM","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"138","loc_end_pos":"140","loc_width":"3","loc_rec_seg_no":"1","labl":"INDEX_CM Communications Index","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[{"value":"890577","type":"vald","wgtd":null},{"value":"208706","type":"invd","wgtd":null},{"value":"0","type":"min","wgtd":null},{"value":"100","type":"max","wgtd":null}],"var_txt":"The Communications Index assesses the degree to which respondents are connected via electronic communications. As would be expected, the index is strongly correlated with other wealth-related measures. Gallup Worldwide Research's measures of Food and Shelter, Wellbeing, and household income are all significantly correlated with the index. Strong relationships with external measures, such as Internet users per 1,000 residents, provide validity to the measure. The Communications Index also correlates with poverty rate, GDP per capita, and the United Nations' Human Development Index. \n\nINDEX QUESTIONS \n- Does your home have a landline telephone? (WP35) \n- Does your home have a cellular phone? (WP3119) \n- Does your home have television? (WP37) \n- Does your home have access to the Internet? (WP39) \n\nINDEX CONSTRUCTION \nIndex scores are calculated at the individual record level. For each individual record, the following procedure applies: The first two questions (landline telephone and cellular phone) are used to determine whether a respondent has a phone and is used to create the phone component of the index. If respondents answer \"yes\" to either question, they are assigned a score of \"1\" for the phone component and a \"0\" if they do not have a phone. For the remaining two questions, positive answers are scored as a \"1\" and all other answers (including don't know and refused) are assigned a score of \"0.\" An individual record has an index calculated if it has valid scores for all three components. A record's final index score is the mean of items multiplied by 100. The final country-level index score is the mean of all individual records for which an index score was calculated. Country-level weights are applied to this calculation. \n\nRELIABILITY \nThe Communications Index has a Cronbach's alpha of .92 when aggregated at the country level.","var_catgry":[{"value":"0","labl":null,"is_missing":null,"stats":[{"value":"78012","type":"freq","wgtd":null}]},{"value":"1","labl":"1 Index Score","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"33.3333333333333","labl":null,"is_missing":null,"stats":[{"value":"111705","type":"freq","wgtd":null}]},{"value":"66.6666666666667","labl":null,"is_missing":null,"stats":[{"value":"399930","type":"freq","wgtd":null}]},{"value":"100","labl":null,"is_missing":null,"stats":[{"value":"300930","type":"freq","wgtd":null}]},{"value":"Sysmiss","labl":null,"is_missing":"Y","stats":[{"value":"208706","type":"freq","wgtd":null}]}],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":"1","max":"1"},"fid":"F1"},{"file_id":"F1","vid":"V21","name":"INDEX_CR","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"141","loc_end_pos":"143","loc_width":"3","loc_rec_seg_no":"1","labl":"INDEX_CR Corruption Index","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[{"value":"900394","type":"vald","wgtd":null},{"value":"198889","type":"invd","wgtd":null},{"value":"0","type":"min","wgtd":null},{"value":"100","type":"max","wgtd":null}],"var_txt":"The Corruption Index measures perceptions in a community about the level of corruption in business and government. Higher scores on the Corruption Index indicate more residents perceive corruption as widespread. Countries that score high on the index tend to have less confidence in their national institutions and in law and order and less satisfaction with community basics and their personal economic situations. Further, the index has a strong negative correlation with percentage thriving and a strong positive relationship with percentage struggling. \n\nThe external validity of the index is demonstrated by the strong relationship with the Transparency International Corruption indicator. The Corruption Index is negatively related to GDP, health expenditures per person, percentage of GDP spent on education, and gender empowerment. Additionally, the index is negatively correlated with measures of access to information such as daily newspapers per 1,000 and information and communication technology expenditure. \n\nINDEX QUESTIONS \n- Is corruption widespread within businesses located in (country), or not? (WP145) \n- Is corruption widespread throughout the government in (country), or not? (WP146) \n\nINDEX CONSTRUCTION \nIndex scores are calculated at the individual record level. For each individual record the following procedure applies: The two items are recoded so that affirmative (corrupt) answers are scored as a \"1\" and all other answers (including don't know and refused) are assigned a score of \"0.\" If a record has no answer for an item, then that item is not eligible for inclusion in the calculations. An individual record has an index calculated if it has valid scores for both items. A record's final index score is the mean of valid items multiplied by 100. The final country-level index score is the mean of all individual records for which an index score was calculated. Country-level weights are applied to this calculation. \n\nRELIABILITY \nThe Corruption Index has a Cronbach's alpha of .96 when aggregated at the country level.","var_catgry":[{"value":"0","labl":null,"is_missing":null,"stats":[{"value":"205269","type":"freq","wgtd":null}]},{"value":"1","labl":"1 Index Score","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"50","labl":null,"is_missing":null,"stats":[{"value":"157009","type":"freq","wgtd":null}]},{"value":"100","labl":null,"is_missing":null,"stats":[{"value":"538116","type":"freq","wgtd":null}]},{"value":"Sysmiss","labl":null,"is_missing":"Y","stats":[{"value":"198889","type":"freq","wgtd":null}]}],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":"0","max":"100"},"fid":"F1"},{"file_id":"F1","vid":"V22","name":"INDEX_DI","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"144","loc_end_pos":"146","loc_width":"3","loc_rec_seg_no":"1","labl":"INDEX_DI Diversity Index","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[{"value":"821793","type":"vald","wgtd":null},{"value":"277490","type":"invd","wgtd":null},{"value":"0","type":"min","wgtd":null},{"value":"100","type":"max","wgtd":null}],"var_txt":"The Diversity Index was designed to measure a community's acceptance of people from different racial, ethnic, or cultural groups. Relationships with other Gallup Worldwide Research indexes indicate that citizens of countries with higher scores on the Diversity Index are more likely to be considered \"thriving\" and are more engaged in their communities. Individuals who live in accepting societies also report lower Corruption Index scores and higher Community Basics Index scores. \n\nCountries that score highly on the Diversity Index also tend to rank more favorably on Freedom House measures of civil liberties and freedom of the press, have more parliament seats held by women, and rank higher on the United Nations gender empowerment value and Human Development Index. \n\nINDEX QUESTIONS \n- Is the city or area where you live a good place or not a good place to live for racial and ethnic minorities? (WP103) \n- Is the city or areas where you live a good place or not a good place to live for gay or lesbian people? (WP105) \n- Is the city or area where you live a good place or not a good place to live for immigrants from other countries? (WP106) \n- Is the city or area where you live a good place or not a good place to live for people with intellectual disabilities? (WP10250) \n\nINDEX CONSTRUCTION \nIndex scores are calculated at the individual record level. For each individual record the following procedure applies: The four items are recoded so that positive answers are scored as a \"1\" and all other answers (including don't know and refused) are assigned a score of \"0.\" If a record has no answer for an item then that item is not eligible for inclusion in the calculations. An individual record has an index calculated if it has valid scores for at least three items. A record's final index score is the mean of valid items multiplied by 100. The final country-level index score is the mean of all individual records for which an index score was calculated. Country-level weights are applied to this calculation. \n\nRELIABILITY \nThe Diversity Index has a Cronbach's alpha of .74 when aggregated at the country level.","var_catgry":[{"value":"0","labl":null,"is_missing":null,"stats":[{"value":"195963","type":"freq","wgtd":null}]},{"value":"1","labl":"1 Index Score","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"25","labl":null,"is_missing":null,"stats":[{"value":"73763","type":"freq","wgtd":null}]},{"value":"33.3333333333333","labl":null,"is_missing":null,"stats":[{"value":"106148","type":"freq","wgtd":null}]},{"value":"50","labl":null,"is_missing":null,"stats":[{"value":"82983","type":"freq","wgtd":null}]},{"value":"66.6666666666667","labl":null,"is_missing":null,"stats":[{"value":"125387","type":"freq","wgtd":null}]},{"value":"75","labl":null,"is_missing":null,"stats":[{"value":"80296","type":"freq","wgtd":null}]},{"value":"100","labl":null,"is_missing":null,"stats":[{"value":"157253","type":"freq","wgtd":null}]},{"value":"Sysmiss","labl":null,"is_missing":"Y","stats":[{"value":"277490","type":"freq","wgtd":null}]}],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":"1","max":"1"},"fid":"F1"},{"file_id":"F1","vid":"V23","name":"INDEX_EW","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"147","loc_end_pos":"149","loc_width":"3","loc_rec_seg_no":"1","labl":"INDEX_EW Experiential Wellbeing Index","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[{"value":"1040023","type":"vald","wgtd":null},{"value":"59260","type":"invd","wgtd":null},{"value":"0","type":"min","wgtd":null},{"value":"100","type":"max","wgtd":null}],"var_txt":"The Experiential Wellbeing Index is a measure of respondents' experienced wellbeing on the day before the survey. The index provides a real-time, composite measure of respondents' positive and negative experiences. \n\nINDEX QUESTIONS \n- Did you feel well-rested yesterday? (WP60) \n- Were you treated with respect all day yesterday? (WP61) \n- Did you smile or laugh a lot yesterday? (WP63) \n- Did you learn or do something interesting yesterday? (WP65) \n- Did you experience the following feelings during a lot of the day yesterday? How about enjoyment? (WP67) \n- Did you experience the following feelings during a lot of the day yesterday? How about physical pain? (WP68) \n- Did you experience the following feelings during a lot of the day yesterday? How about worry? (WP69) \n- Did you experience the following feelings during a lot of the day yesterday? How about sadness? (WP70) \n- Did you experience the following feelings during a lot of the day yesterday? How about stress? (WP71) \n- Did you experience the following feelings during a lot of the day yesterday? How about anger? (WP74) \n\nINDEX CONSTRUCTION \nIndex scores are calculated at the individual record level. For each individual the following procedure applies: The 10 items are recoded so that answers reflecting positive emotion are scored as a \"1\" and all other answers (including don't know or refused) are a \"0.\" If a record has no answer for an item, then that item is not eligible for inclusion in the calculations. An individual record has an index calculated if it has at least 8 out of 10 valid scores (0 or 1). The record's final score is the mean of valid items multiplied by 100. The final country-level index score is the mean of all individual records for which an index score was calculated. Country-level weights are applied to this calculation.","var_catgry":[{"value":"0","labl":null,"is_missing":null,"stats":[{"value":"9286","type":"freq","wgtd":null}]},{"value":"1","labl":"1 Index Score","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"10","labl":null,"is_missing":null,"stats":[{"value":"17243","type":"freq","wgtd":null}]},{"value":"11.1111111111111","labl":null,"is_missing":null,"stats":[{"value":"2514","type":"freq","wgtd":null}]},{"value":"12.5","labl":null,"is_missing":null,"stats":[{"value":"26","type":"freq","wgtd":null}]},{"value":"20","labl":null,"is_missing":null,"stats":[{"value":"28207","type":"freq","wgtd":null}]},{"value":"22.2222222222222","labl":null,"is_missing":null,"stats":[{"value":"4172","type":"freq","wgtd":null}]},{"value":"25","labl":null,"is_missing":null,"stats":[{"value":"68","type":"freq","wgtd":null}]},{"value":"30","labl":null,"is_missing":null,"stats":[{"value":"41892","type":"freq","wgtd":null}]},{"value":"33.3333333333333","labl":null,"is_missing":null,"stats":[{"value":"5725","type":"freq","wgtd":null}]},{"value":"37.5","labl":null,"is_missing":null,"stats":[{"value":"122","type":"freq","wgtd":null}]},{"value":"40","labl":null,"is_missing":null,"stats":[{"value":"57824","type":"freq","wgtd":null}]},{"value":"44.4444444444444","labl":null,"is_missing":null,"stats":[{"value":"8263","type":"freq","wgtd":null}]},{"value":"50","labl":null,"is_missing":null,"stats":[{"value":"78505","type":"freq","wgtd":null}]},{"value":"55.5555555555556","labl":null,"is_missing":null,"stats":[{"value":"10038","type":"freq","wgtd":null}]},{"value":"60","labl":null,"is_missing":null,"stats":[{"value":"96942","type":"freq","wgtd":null}]},{"value":"62.5","labl":null,"is_missing":null,"stats":[{"value":"352","type":"freq","wgtd":null}]},{"value":"66.6666666666667","labl":null,"is_missing":null,"stats":[{"value":"12293","type":"freq","wgtd":null}]},{"value":"70","labl":null,"is_missing":null,"stats":[{"value":"122303","type":"freq","wgtd":null}]},{"value":"75","labl":null,"is_missing":null,"stats":[{"value":"419","type":"freq","wgtd":null}]},{"value":"77.7777777777778","labl":null,"is_missing":null,"stats":[{"value":"15423","type":"freq","wgtd":null}]},{"value":"80","labl":null,"is_missing":null,"stats":[{"value":"154667","type":"freq","wgtd":null}]},{"value":"87.5","labl":null,"is_missing":null,"stats":[{"value":"498","type":"freq","wgtd":null}]},{"value":"88.8888888888889","labl":null,"is_missing":null,"stats":[{"value":"18308","type":"freq","wgtd":null}]},{"value":"90","labl":null,"is_missing":null,"stats":[{"value":"185934","type":"freq","wgtd":null}]},{"value":"100","labl":null,"is_missing":null,"stats":[{"value":"168999","type":"freq","wgtd":null}]},{"value":"Sysmiss","labl":null,"is_missing":"Y","stats":[{"value":"59260","type":"freq","wgtd":null}]}],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":"1","max":"100"},"fid":"F1"},{"file_id":"F1","vid":"V24","name":"INDEX_FS","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"150","loc_end_pos":"152","loc_width":"3","loc_rec_seg_no":"1","labl":"INDEX_FS Food and Shelter Index","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[{"value":"1042440","type":"vald","wgtd":null},{"value":"56843","type":"invd","wgtd":null},{"value":"0","type":"min","wgtd":null},{"value":"100","type":"max","wgtd":null}],"var_txt":"The Food and Shelter Index measures whether a respondent has experienced deprivation in the areas of food and shelter. Two items that ask about respondents' ability to afford food or shelter in the past year compose this index. Lower scores on this index indicate that more respondents reported struggling to afford food and shelter in the past year, while higher scores indicate fewer respondents reported such struggles. As would be expected, respondents in wealthier countries are more likely than those in lesser developed nations to report having adequate food and shelter. However, even in the wealthiest countries, some percentage of the population indicates a struggle to provide food or adequate shelter. The Food and Shelter Index serves as an effective summary measure and indicator of the prevalence of poverty across individuals in a group, country, or region. \n\nThe validity of the Food and Shelter Index is supported by a pattern of strong correlations with wealth and health measures, particularly those that focus on poverty. Externally, the index correlates strongly with per-capita GDP (PPP), the poverty rate, the United Nations Human Development Index, the percentage of the population undernourished, infant mortality, and life expectancy. The Food and Shelter Index also correlates with other Gallup Worldwide Research indexes: Community Basics, measures of Wellbeing, Youth Development, and Corruption. \n\nINDEX QUESTIONS \n- Have there been times in the past 12 months when you did not have enough money to buy food that you or your family needed? (WP40) \n- Have there been times in the past 12 months when you did not have enough money to provide adequate shelter or housing for you and your family? (WP43) \n\nINDEX CONSTRUCTION \nIndex scores are calculated at the individual record level. For each individual record the following procedure applies: The two items are recoded so that positive (or favorable) answers are scored a \"1\" and all other answers (including don't know and refused) are assigned a score of \"0.\" If a record has no answer for an item, then that item is not eligible for inclusion in the calculations. An individual record has an index calculated if it has valid scores for both questions. A record's final index score is the mean of valid items multiplied by 100. The final country-level index score is the mean of all individual records for which an index score was calculated. Country-level weights are applied to this calculation. \n\nRELIABILITY \nThe Food and Shelter Index has a Cronbach's alpha of .82 when aggregated at the country level.","var_catgry":[{"value":"0","labl":null,"is_missing":null,"stats":[{"value":"150088","type":"freq","wgtd":null}]},{"value":"1","labl":"1 Index Score","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"50","labl":null,"is_missing":null,"stats":[{"value":"211873","type":"freq","wgtd":null}]},{"value":"100","labl":null,"is_missing":null,"stats":[{"value":"680479","type":"freq","wgtd":null}]},{"value":"Sysmiss","labl":null,"is_missing":"Y","stats":[{"value":"56843","type":"freq","wgtd":null}]}],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":"0","max":"100"},"fid":"F1"},{"file_id":"F1","vid":"V25","name":"INDEX_FW","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"153","loc_end_pos":"155","loc_width":"3","loc_rec_seg_no":"1","labl":"INDEX_FW Financial Wellbeing Index","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[{"value":"901116","type":"vald","wgtd":null},{"value":"198167","type":"invd","wgtd":null},{"value":"0","type":"min","wgtd":null},{"value":"100","type":"max","wgtd":null}],"var_txt":"The Financial Wellbeing Index measures respondents' personal economic situations and the economics of the community where they live. The subjective measures of financial wellbeing that make up the index are an important complement to traditional macroeconomic indicators such as GDP and unemployment rates, particularly in cases in which these data are difficult to obtain or the quality is suspect. \n\nEven in developed regions where traditional economic indicators are highly reliable, survey data represent complementary measures that can compensate for existing \"blind spots.\" GDP, for instance, is an important measure of rising or falling economic activity in the monetized sector, but an imprecise indicator of how such changes translate to living conditions for the bulk of the country's population. Survey data on satisfaction with living standards, on the other hand, help complete the picture with a bottom-up perspective that accounts for individual-level judgments of welfare. Furthermore, expressions of sentiment often serve as leading indicators of economic conditions. Perhaps the greatest promise of these data is their potential to predict economic progress. \nExternal relationships with World Bank measures are strongest with other economic measures such as wealth distribution and economically active children (children aged 7 to 14 who have jobs). \n\nAlso enlightening are the relationships that the index shares with other Gallup Worldwide Research indexes. National Institutions, Community Basics, Physical Wellbeing, Civic Engagement, Youth Development, Corruption, and Optimism are all strongly related to the Financial Wellbeing Index, illustrating the importance of subjective economic circumstances in almost all other facets of everyday life. \n\nINDEX QUESTIONS \n- Which one of these phrases comes closest to your own feelings about your household's income these days: living comfortably on present income, getting by on present income, finding it difficult on present income, or finding it very difficult on present income? (WP2319) \n- Are you satisfied or dissatisfied with your standard of living, all the things you can buy and do? (WP30) \n- Right now, do you feel your standard of living is getting better or getting worse? (WP31) \n- Right now, do you think that economic conditions in the city or area where you live, as a whole, are getting better or getting worse? (WP88) \n\nINDEX CONSTRUCTION \nIndex scores are calculated at the individual record level. For each individual record, the following procedure applies: For WP2319, respondents who say they are \"living comfortably on present income\" are recoded as \"1,\" and all other answers are recoded as \"0.\" The remaining four items are recoded so that positive answers are scored as a \"1\" and all other answers (including don't know and refused) are assigned a score of \"0.\" If a record has no answer for an item, then that item is not eligible for inclusion in the calculations. An individual record has an index calculated if it has valid scores for WP2319 and valid scores from at least three of the other four index questions. A record's final index score is the average of the mean for responses to WP2319 and the mean of the three other items multiplied by 100. The final country-level index score is the mean of all individual records for which an index score was calculated. Country-level weights are applied to this calculation. \n\nRELIABILITY \nThe Financial Wellbeing Index has a Cronbach's alpha of .86 when aggregated at the country level.","var_catgry":[{"value":"0","labl":null,"is_missing":null,"stats":[{"value":"227158","type":"freq","wgtd":null}]},{"value":"1","labl":"1 Index Score","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"16.6666666666667","labl":null,"is_missing":null,"stats":[{"value":"197235","type":"freq","wgtd":null}]},{"value":"25","labl":null,"is_missing":null,"stats":[{"value":"18059","type":"freq","wgtd":null}]},{"value":"33.3333333333333","labl":null,"is_missing":null,"stats":[{"value":"148377","type":"freq","wgtd":null}]},{"value":"50","labl":null,"is_missing":null,"stats":[{"value":"149425","type":"freq","wgtd":null}]},{"value":"66.6666666666667","labl":null,"is_missing":null,"stats":[{"value":"39296","type":"freq","wgtd":null}]},{"value":"75","labl":null,"is_missing":null,"stats":[{"value":"5589","type":"freq","wgtd":null}]},{"value":"83.3333333333333","labl":null,"is_missing":null,"stats":[{"value":"45245","type":"freq","wgtd":null}]},{"value":"100","labl":null,"is_missing":null,"stats":[{"value":"70732","type":"freq","wgtd":null}]},{"value":"Sysmiss","labl":null,"is_missing":"Y","stats":[{"value":"198167","type":"freq","wgtd":null}]}],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":"1","max":"1"},"fid":"F1"},{"file_id":"F1","vid":"V26","name":"INDEX_JC","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"156","loc_end_pos":"158","loc_width":"3","loc_rec_seg_no":"1","labl":"INDEX_JC Job Climate Index","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[{"value":"929499","type":"vald","wgtd":null},{"value":"169784","type":"invd","wgtd":null},{"value":"0","type":"min","wgtd":null},{"value":"100","type":"max","wgtd":null}],"var_txt":"The Job Climate Index measures the attitudes about a community's efforts to provide economic opportunities. \n\nINDEX QUESTIONS \n- Right now, do you think that economic conditions in the city or area where you live, as a whole, are getting better or getting worse? (WP88) \n- Thinking about the job situation in the city or area where you live today, would you say that it is now a good time or a bad time to find a job? (WP89) \n\nINDEX CONSTRUCTION \nIndex scores are calculated at the individual record level. For each individual record, the following procedure applies: The two items are recoded so that positive answers are scored as a \"1\" and all other answers, including don't know and refused, are assigned a score of \"0.\" If a record has no answer for an item, then that item is not eligible for inclusion in the calculations. An individual record has an index calculated if it has valid scores for both questions. A record's final index score is the mean of valid items multiplied by 100. The final country-level index score is the mean of all individual records for which an index score was calculated. Country-level weights are applied to this calculation. \n\nRELIABILITY \nThe Job Climate Index has a Cronbach's alpha of .85 when aggregated at the country level.","var_catgry":[{"value":"0","labl":null,"is_missing":null,"stats":[{"value":"461184","type":"freq","wgtd":null}]},{"value":"1","labl":"1 Index Score","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"50","labl":null,"is_missing":null,"stats":[{"value":"277151","type":"freq","wgtd":null}]},{"value":"100","labl":null,"is_missing":null,"stats":[{"value":"191164","type":"freq","wgtd":null}]},{"value":"Sysmiss","labl":null,"is_missing":"Y","stats":[{"value":"169784","type":"freq","wgtd":null}]}],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":"1","max":"1"},"fid":"F1"},{"file_id":"F1","vid":"V27","name":"INDEX_LE","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"159","loc_end_pos":"159","loc_width":"1","loc_rec_seg_no":"1","labl":"INDEX_LE Life Evaluation Index","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[{"value":"988638","type":"vald","wgtd":null},{"value":"110645","type":"invd","wgtd":null},{"value":"1","type":"min","wgtd":null},{"value":"3","type":"max","wgtd":null}],"var_txt":"The Life Evaluation Index measures respondents' perceptions of where they stand now and in the future. Building on the earlier work by Hadley Cantril and the Cantril Self-Anchoring Striving Scale6, Gallup measures life satisfaction by asking respondents to place the status of their lives on a \"ladder\" scale with steps numbered from 0 to 10, where 0 indicates the worst possible life and 10 the best possible life. Individuals who rate their current lives a \"7\" or higher AND their future an \"8\" or higher are \"thriving.\" Individuals are \"suffering\" if they report their current AND future lives as a \"4\" and lower. All other individuals are \"struggling.\" \n\nINDEX QUESTIONS \n- Please imagine a ladder, with steps numbered from 0 at the bottom to 10 at the top. The top of the ladder represents the best possible life for you and the bottom of the ladder represents the worst possible life for you. On which step of the ladder would you say you personally feel you stand at this time? (WP16) \n- Please imagine a ladder, with steps numbered from 0 at the bottom to 10 at the top. The top of the ladder represents the best possible life for you and the bottom of the ladder represents the worst possible life for you. Just your best guess, on which step do you think you will stand in the future, say about five years from now? (WP18) \n\nINDEX CONSTRUCTION \nIndex scores are calculated at the individual record level. For each individual record the following procedures applies. Individuals who rate their current lives a \"7\" or higher AND their future an \"8\" or higher are \"thriving,\" code 1. Individuals are \"suffering\" if they report their current AND future lives as a \"4\" and lower, code 3. All other individuals are \"struggling,\" code 2. A respondent must have answered both questions to have indexes calculated. The final country-level index is a variable that codes respondents into one of three categories of wellbeing and represents the percentage of respondents in each category. Country-level weights are applied to this calculation. \n\nRELIABILITY \nThe Life Evaluation Index has a Cronbach's alpha of .91 when aggregated at the country level.","var_catgry":[{"value":"1","labl":"1 Thriving","is_missing":null,"stats":[{"value":"261172","type":"freq","wgtd":null}]},{"value":"2","labl":"2 Struggling","is_missing":null,"stats":[{"value":"608606","type":"freq","wgtd":null}]},{"value":"3","labl":"3 Suffering","is_missing":null,"stats":[{"value":"118860","type":"freq","wgtd":null}]},{"value":"Sysmiss","labl":null,"is_missing":"Y","stats":[{"value":"110645","type":"freq","wgtd":null}]}],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":"1","max":"3"},"fid":"F1"},{"file_id":"F1","vid":"V28","name":"INDEX_LO","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"160","loc_end_pos":"162","loc_width":"3","loc_rec_seg_no":"1","labl":"INDEX_LO Law and Order Index","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[{"value":"927388","type":"vald","wgtd":null},{"value":"171895","type":"invd","wgtd":null},{"value":"0","type":"min","wgtd":null},{"value":"100","type":"max","wgtd":null}],"var_txt":"The Law and Order Index measures security levels that respondents report. It incorporates three questions that gauge respondents' sense of personal security. Higher scores on this index indicate that more citizens report feeling secure. \n\nRecent studies have demonstrated that high crime rates suppress social cohesion at the community level3 and negatively affect regional economic performance4. The Law and Order Index reinforces these findings, correlating highly with external measures related to economic and social development such as per-capita GDP (PPP), life expectancy and corruption perceptions. The Law and Order Index also significantly correlates with other Gallup Worldwide Research indexes, such as National Institutions, Community Basics, Personal Economy, Corruption, and Youth Development. Additionally, the Law and Order Index is negatively correlated with homicide rates, adding validity to the measure. \n\nINDEX QUESTIONS \n- In the city or area where you live, do you have confidence in the local police force? (WP112) \n- Do you feel safe walking alone at night in the city or area where you live? (WP113) \n- Within the last 12 months, have you had money or property stolen from you or another household member? (WP117) \n\nINDEX CONSTRUCTION \nIndex scores are calculated at the individual record level. For each individual record the following procedure applies: The three items are coded so that positive (or favorable) answers are scored a \"1\" and all other answers (including don't know and refused) are assigned a score of \"0.\" If a record has no answer for an item, then that item is not eligible for inclusion in the calculations. An individual record has an index calculated if it has two scores for two out of three items. A record's final index score is the mean of valid items multiplied by 100. The final country-level index score is the mean of all individual records for which an index score was calculated. Country-level weights are applied to this calculation. \n\nRELIABILITY \nThe Law and Order Index has a Cronbach's alpha of .75 when aggregated at the country level.","var_catgry":[{"value":"0","labl":null,"is_missing":null,"stats":[{"value":"59790","type":"freq","wgtd":null}]},{"value":"1","labl":"1 Index Score","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"33.3333333333333","labl":null,"is_missing":null,"stats":[{"value":"199951","type":"freq","wgtd":null}]},{"value":"50","labl":null,"is_missing":null,"stats":[{"value":"21866","type":"freq","wgtd":null}]},{"value":"66.6666666666667","labl":null,"is_missing":null,"stats":[{"value":"262185","type":"freq","wgtd":null}]},{"value":"100","labl":null,"is_missing":null,"stats":[{"value":"383596","type":"freq","wgtd":null}]},{"value":"Sysmiss","labl":null,"is_missing":"Y","stats":[{"value":"171895","type":"freq","wgtd":null}]}],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":"0","max":"100"},"fid":"F1"},{"file_id":"F1","vid":"V29","name":"INDEX_NI","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"163","loc_end_pos":"165","loc_width":"3","loc_rec_seg_no":"1","labl":"INDEX_NI National Institutions Index","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[{"value":"848185","type":"vald","wgtd":null},{"value":"251098","type":"invd","wgtd":null},{"value":"0","type":"min","wgtd":null},{"value":"100","type":"max","wgtd":null}],"var_txt":"The National Institutions Index reflects citizens' confidence in key institutions prominent in a country's leadership: the military, the judicial system, the national government, and the honesty of elections. \n\nWhen the relationships of the National Institutions Index to other Gallup Worldwide Research indexes are examined, it gives insight into the aspects of life for which people hold national institutions responsible. Correlation analysis indicates strong relationships between the National Institutions Index and Community Basics, Law and Order, Financial Wellbeing, Youth Development, and Corruption. These relationships suggest there are gains to be made in understanding the formation of attitudes about national institutions through understanding perceptions of these more functionally oriented indexes. In other words, if one desires to know how public attitudes are formed concerning confidence in national institutions, then it would be fruitful to focus on the perceived performance on indexes of a more basic nature. \n\nThe National Institutions Index is related to measures of wealth: World Bank per-capita GDP (PPP), information and communication expenditures, and health expenditures per capita. \n\nINDEX QUESTIONS \n- Do you have confidence in each of the following, or not? How about the military? (WP137) \n- Do you have confidence in each of the following, or not? How about the judicial system and courts? (WP138) \n- Do you have confidence in each of the following, or not? How about the national government? (WP139) \n- Do you have confidence in each of the following, or not? How about honesty of elections? (WP144) \n\nINDEX CONSTRUCTION \nIndex scores are calculated at the individual record level. For each individual record the following procedure applies: The four items are recoded so that positive answers are scored as a \"1\" and all other answers (including don't know and refused) are assigned a score of \"0.\" If a record has no answer for an item then that item is not eligible for inclusion in the calculations. An individual record has an index calculated if it has valid scores for at least three questions. A record's final index score is the mean of valid items multiplied by 100. The final country-level index score is the mean of all individual records for which an index score was calculated. Country-level weights are applied to this calculation. \n\nRELIABILITY \nThe National Institutions Index has a Cronbach's alpha of .87 when aggregated at the country level.","var_catgry":[{"value":"0","labl":null,"is_missing":null,"stats":[{"value":"159411","type":"freq","wgtd":null}]},{"value":"1","labl":"1 Index Score","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"25","labl":null,"is_missing":null,"stats":[{"value":"159536","type":"freq","wgtd":null}]},{"value":"33.3333333333333","labl":null,"is_missing":null,"stats":[{"value":"6590","type":"freq","wgtd":null}]},{"value":"50","labl":null,"is_missing":null,"stats":[{"value":"159730","type":"freq","wgtd":null}]},{"value":"66.6666666666667","labl":null,"is_missing":null,"stats":[{"value":"7788","type":"freq","wgtd":null}]},{"value":"75","labl":null,"is_missing":null,"stats":[{"value":"154661","type":"freq","wgtd":null}]},{"value":"100","labl":null,"is_missing":null,"stats":[{"value":"200469","type":"freq","wgtd":null}]},{"value":"Sysmiss","labl":null,"is_missing":"Y","stats":[{"value":"251098","type":"freq","wgtd":null}]}],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":"0","max":"100"},"fid":"F1"},{"file_id":"F1","vid":"V30","name":"INDEX_NX","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"166","loc_end_pos":"168","loc_width":"3","loc_rec_seg_no":"1","labl":"INDEX_NX Negative Experience Index","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[{"value":"1032768","type":"vald","wgtd":null},{"value":"66515","type":"invd","wgtd":null},{"value":"0","type":"min","wgtd":null},{"value":"100","type":"max","wgtd":null}],"var_txt":"The Negative Experience Index is a measure of respondents' experienced wellbeing on the day before the survey. The index provides a real-time measure of respondents' negative experiences. \n\nINDEX QUESTIONS \n- Did you experience the following feelings during a lot of the day yesterday? How about physical pain? (WP68) \n- Did you experience the following feelings during a lot of the day yesterday? How about worry? (WP69) \n- Did you experience the following feelings during a lot of the day yesterday? How about sadness? (WP70) \n- Did you experience the following feelings during a lot of the day yesterday? How about stress? (WP71) \n- Did you experience the following feelings during a lot of the day yesterday? How about anger? (WP74) \n\nINDEX CONSTRUCTION \nIndex scores are calculated at the individual record level. For each individual the following procedure applies: The five items are recoded so that affirmative answers are scored as a \"1\" and all other answers (including don't know or refused) are a \"0.\" If a record has no answer for an item, then that item is not eligible for inclusion in the calculations. An individual record has an index calculated if it has at least four out of five valid scores (0 or 1). The record's final score is the mean of valid items multiplied by 100. The final country-level index score is the mean of all individual records for which an index score was calculated. Country-level weights are applied to this calculation. \n\nRELIABILITY \nThe Negative Experience Index has a Cronbach's alpha of .80 when aggregated at the country level.","var_catgry":[{"value":"0","labl":null,"is_missing":null,"stats":[{"value":"430031","type":"freq","wgtd":null}]},{"value":"1","labl":"1 Index Score","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"20","labl":null,"is_missing":null,"stats":[{"value":"214006","type":"freq","wgtd":null}]},{"value":"25","labl":null,"is_missing":null,"stats":[{"value":"21463","type":"freq","wgtd":null}]},{"value":"40","labl":null,"is_missing":null,"stats":[{"value":"149249","type":"freq","wgtd":null}]},{"value":"50","labl":null,"is_missing":null,"stats":[{"value":"13529","type":"freq","wgtd":null}]},{"value":"60","labl":null,"is_missing":null,"stats":[{"value":"96860","type":"freq","wgtd":null}]},{"value":"75","labl":null,"is_missing":null,"stats":[{"value":"8665","type":"freq","wgtd":null}]},{"value":"80","labl":null,"is_missing":null,"stats":[{"value":"60332","type":"freq","wgtd":null}]},{"value":"100","labl":null,"is_missing":null,"stats":[{"value":"38633","type":"freq","wgtd":null}]},{"value":"Sysmiss","labl":null,"is_missing":"Y","stats":[{"value":"66515","type":"freq","wgtd":null}]}],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":"0","max":"100"},"fid":"F1"},{"file_id":"F1","vid":"V31","name":"INDEX_OT","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"169","loc_end_pos":"171","loc_width":"3","loc_rec_seg_no":"1","labl":"INDEX_OT Optimism Index","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[{"value":"1027458","type":"vald","wgtd":null},{"value":"71825","type":"invd","wgtd":null},{"value":"0","type":"min","wgtd":null},{"value":"100","type":"max","wgtd":null}],"var_txt":"The Optimism Index measures respondents' positive attitudes about the future. Specifically, respondents are asked whether certain aspects of their life are getting better or getting worse. Countries with higher Optimism Index scores report more confidence in national institutions and better youth development. Individual factors such as Financial Wellbeing and Personal Health are also related to Optimism. As would be expected, percentage suffering has a strong negative relationship with the Optimism Index. \nExternally, the measure is related to measures of wealth such as the GINI Index long-term unemployment, and aid per capita. This relationship suggests that the social conditions that prompt an influx of foreign aid also result in less optimism for the future. \n\nINDEX QUESTIONS \n- Right now, do you feel your standard of living is getting better or getting worse? (WP31) \n- Right now, do you think that economic conditions in the city or area where you live, as a whole, are getting better or getting worse? (WP88) \n- Please imagine a ladder, with steps numbered from 0 at the bottom to 10 at the top. The top of the ladder represents the best possible life for you and the bottom of the ladder represents the worst possible life for you. Just your best guess, on which step do you think you will stand in the future, say about five years from now? (WP18) \n\nINDEX CONSTRUCTION \nIndex scores are calculated at the individual record level. For each individual record, the following procedure applies: The first two items are recoded so that favorable answers are scored as a \"1\" and all other answers (including don't know and refused) are assigned a score of \"0.\" If a record has no answer for an item then that item is not eligible for inclusion in the calculations. The score on the ladder question (ranging from 0 to 10) is divided by 10 and the respondent is assigned a score ranging from 0 to 1. An individual record has an index calculated if it has valid scores for all three items. A record's final index score is the mean of valid items multiplied by 100. The final country-level index score is the mean of all individual records for which an index score was calculated. Country-level weights are applied to this calculation. \n\nRELIABILITY \nThe Optimism Index has a Cronbach's alpha of .92 when aggregated at the country level.","var_catgry":[{"value":"0","labl":null,"is_missing":null,"stats":[{"value":"61007","type":"freq","wgtd":null}]},{"value":"1","labl":"1 Index 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Physical Wellbeing Index","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[{"value":"1062178","type":"vald","wgtd":null},{"value":"37105","type":"invd","wgtd":null},{"value":"0","type":"min","wgtd":null},{"value":"100","type":"max","wgtd":null}],"var_txt":"The Physical Wellbeing Index measures perceptions of one's own health. Attempts to assess the state of a country's overall health usually involve the accumulation of health-related statistics such as life expectancy, infant mortality, and disease infection rates. Additionally, many government studies in individual countries collect health data via surveys from their own residents. Less numerous are survey projects that collect consistent health-related data from respondents across several countries, and in most cases those multinational efforts focus on Western countries. \n\nGallup Worldwide Research has now measured self-reported personal health using the same questions and representative sample frames in more than 150 countries and areas. The object of the Physical Wellbeing Index was to produce an overview of respondents' perceptions of their own health status. \n\nThe Physical Wellbeing Index is correlated with Community Basics, Financial Wellbeing, and Civic Engagement indexes. Individuals with high Physical Wellbeing scores also tend to be more optimistic about the future and in terms of wellbeing are less likely to be \"suffering.\" Correlations with World Bank measures are present where face validity suggests they would be: health expenditures per capita, prevalence of HIV, and death rates. \n\nINDEX QUESTIONS \n- Do you have any health problems that prevent you from doing any of the things people your age normally can do?(WP23) \n- Now, please think about yesterday, from the morning until the end of the day. Think about where you were, what you were doing, who you were with, and how you felt. Did you feel well-rested yesterday?(WP60) \n- Did you experience the following feelings during a lot of the day yesterday? How about physical pain? (WP68) \n- Did you experience the following feelings during a lot of the day yesterday? How about worry?(WP69) \n- Did you experience the following feelings during a lot of the day yesterday? How about sadness?(WP70) \n\nINDEX CONSTRUCTION \nIndex scores are calculated at the individual record level. For each individual record the following procedure applies: All items are recoded so that favorable answers are scored as a \"1\" and all other answers (including don't know and refused) are assigned a score of \"0.\" If a record has no answer for an item, then that item is not eligible for inclusion in the calculations. Respondents must have answered at least four questions for an individual index to be calculated. A record's final index score is the mean of valid items multiplied by 100. The final country-level index score is the mean of all individual records for which an index score was calculated. Country-level weights are applied to this calculation. \n\nRELIABILITY \nThe Physical Wellbeing Index has a Cronbach's alpha of .77 when aggregated at the country level.","var_catgry":[{"value":"0","labl":null,"is_missing":null,"stats":[{"value":"33386","type":"freq","wgtd":null}]},{"value":"1","labl":"1 Index Score","is_missing":null,"stats":[{"value":"0","type":"freq","wgtd":null}]},{"value":"20","labl":null,"is_missing":null,"stats":[{"value":"69475","type":"freq","wgtd":null}]},{"value":"25","labl":null,"is_missing":null,"stats":[{"value":"6650","type":"freq","wgtd":null}]},{"value":"33.3333333333333","labl":null,"is_missing":null,"stats":[{"value":"261","type":"freq","wgtd":null}]},{"value":"40","labl":null,"is_missing":null,"stats":[{"value":"118543","type":"freq","wgtd":null}]},{"value":"50","labl":null,"is_missing":null,"stats":[{"value":"9481","type":"freq","wgtd":null}]},{"value":"60","labl":null,"is_missing":null,"stats":[{"value":"182779","type":"freq","wgtd":null}]},{"value":"66.6666666666667","labl":null,"is_missing":null,"stats":[{"value":"324","type":"freq","wgtd":null}]},{"value":"75","labl":null,"is_missing":null,"stats":[{"value":"13635","type":"freq","wgtd":null}]},{"value":"80","labl":null,"is_missing":null,"stats":[{"value":"269516","type":"freq","wgtd":null}]},{"value":"100","labl":null,"is_missing":null,"stats":[{"value":"358128","type":"freq","wgtd":null}]},{"value":"Sysmiss","labl":null,"is_missing":"Y","stats":[{"value":"37105","type":"freq","wgtd":null}]}],"var_codinstr":null,"var_concept":[],"var_format":{"type":"numeric","schema":"other","category":null,"name":null},"var_notes":null,"var_val_range":{"min":"0","max":"100"},"fid":"F1"},{"file_id":"F1","vid":"V33","name":"INDEX_PX","var_intrvl":"discrete","var_dcml":"0","var_wgt":null,"var_is_wgt":null,"loc_start_pos":"175","loc_end_pos":"177","loc_width":"3","loc_rec_seg_no":"1","labl":"INDEX_PX Positive Experience Index","var_imputation":null,"var_security":null,"var_resp_unit":null,"var_analysis_unit":null,"var_qstn_preqtxt":null,"var_qstn_qstnlit":null,"var_qstn_postqtxt":null,"var_qstn_ivuinstr":null,"var_universe":null,"var_universe_clusion":null,"var_sumstat":[{"value":"1056707","type":"vald","wgtd":null},{"value":"42576","type":"invd","wgtd":null},{"value":"0","type":"min","wgtd":null},{"value":"100","type":"max","wgtd":null}],"var_txt":"The Positive Experience Index is a measure of respondents' experienced wellbeing on the day before the survey. Questions provide a real-time measure of respondents' positive experiences. \n\nINDEX QUESTIONS \n- Did you feel well-rested yesterday? (WP60) \n- Were you treated with respect all day yesterday? (WP61) \n- Did you smile or laugh a lot yesterday? (WP63) \n- Did you learn or do something interesting yesterday? (WP65) \n- Did you experience the following feelings during a lot of the day yesterday? How about enjoyment? (WP67) \n\nINDEX CONSTRUCTION \nIndex scores are calculated at the individual record level. For each individual the following procedure applies: The five items are recoded so that positive answers are scored as a \"1\" and all other answers (including don't know and refused) are scored as a \"0.\" If a record has no answer for an item, then that item is not eligible for inclusion in the calculations. An individual record has an index calculated if it has at least four out of five valid scores (0 or 1). The record's final score is the mean of valid items multiplied by 100. The final country-level index score is the mean of all individual records for which an index score was calculated. 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