{"doc_desc":{"title":"MPI_2021","idno":"DDI-NGA-NBS-MPI-2021-v1.0","producers":[{"name":"National Bureau of Statistics","abbr":"NBS","affiliation":"Federal Government of Nigeria (FGN)","role":"Metadata Producer"}],"prod_date":"2023-04-26","version_statement":{"version":"Version 1.0 (April 2023)."}},"study_desc":{"title_statement":{"idno":"NGA-NBS-MPI-2021-v1.0.","title":"Nigeria Multidimensional Poverty Index Survey 2021","sub_title":"First round","alternate_title":"MPI 2021","translated_title":"No Translation"},"authoring_entity":[{"name":"National Bureau of Statistics (NBS)","affiliation":"Federal Government of Nigeria (FGN)"}],"oth_id":[{"name":"Oxford Poverty and Human Development Initiative (OPHI)","affiliation":"University of Oxford","email":"","role":"Technical Support"}],"production_statement":{"copyright":"(c) NBS, 2023","funding_agencies":[{"name":"Federal Government of Nigeria","abbr":"FGN","role":"funding"},{"name":"United Nations Development Programme","abbr":"UNDP","role":"funding"},{"name":"United Nations Children's Fund","abbr":"UNICEF","role":"funding"}]},"distribution_statement":{"contact":[{"name":"Prince Semiu Adeyemi Adeniran (Statistician-General of the Federation\/CEO NBS)","affiliation":"National Bureau of Statistics (NBS)","email":"saadeniran@nigerianstat.gov.ng","uri":"https:\/\/www.nigerianstat.gov.ng"},{"name":"Mr Biyi Fafumi (Director ICT Department)","affiliation":"National Bureau of Statistics (NBS)","email":"biyifafumi@nigerianstat.gov.ng","uri":"https:\/\/www.nigerianstat.gov.ng"},{"name":"Emuesiri Ojo","affiliation":"National Bureau of Statistics (NBS)","email":"eojo@nigerianstat.gov.ng","uri":"https:\/\/www.nigerianstat.gov.ng"},{"name":"Akinloye Adeyeye Elutade","affiliation":"National Bureau of Statistics (NBS)","email":"aaelutade@nigerianstat.gov.ng","uri":"https:\/\/www.nigerianstat.gov.ng"},{"name":"Grace Waniko Abhulimen","affiliation":"National Bureau of Statistics (NBS)","email":"gwabhulimen@nigerianstat.gov.ng","uri":"https:\/\/www.nigerianstat.gov.ng"}]},"series_statement":{"series_name":"Other Household Survey [hh\/oth]","series_info":"The Nigeria Multidimensional Poverty Index (2022) is a frontline effort at creating an evidence-based, Data Demand and Use strategy for achieving the Presidential mandate of lifting 100 million out of poverty in a decade. Furthermore, as it relates to the Sustainable Development Goals (SDGs) 2030 Agenda, \u2018leave no one behind\u2019, it shows the interlinkages of deprivations experienced by poor people: No Poverty (SDG\u00a0 1); Zero Hunger (SDG 2); Health and Well-being (SDG 3); Quality Education (SDG 4); Clean Water and Sanitation (SDG\u00a06); Affordable and Clean Energy (SDG 7); and Sustainable Cities and Communities (SDG 11).\nMultidimensional Poverty Index  is the first round of  MPI stand-alone Survey which was conducted in 2021, although, it was treated as a module during the Human Development Indices General household survey that was conducted by the National Bureau of Statistics (NBS), Nigeria in 2017."},"version_statement":{"version":"Version 1.0 (Anonymous dataset for public distribution)","version_date":"2022-11-17","version_notes":"This is the First Version of the Study"},"study_info":{"abstract":"Home to over 200 million people, Nigeria is the most populous country on the African continent and the seventh largest in the world. The United Nations forecasts that the population will double by 2050, making it the third largest country in the world (UNDESA, 2019). Given Nigeria\u2019s size and growth potential, the pressureto safeguard and improve the lives of its citizens is significant. Nigeria was still recovering from its 2016 economic recession when another recession hit in 2020 due to the effects of the COVID-19 pandemic, further derailing its economic recovery. While the COVID-19 regulatory measures implemented in Nigeria helped to control the spread of the virus, many of these necessary and lifesaving measures had deleterious effects on livelihoods, health, human wellbeing, state\u2013society relations and social harmony. \nThe Nigerian economy has grown post-COVID, with the real Gross Domestic Product (GDP) growth rate rising from -1.92% in 2020 to +3.40% in 2021. Despite this economic recovery, the lingering impact of the 2020 recession has undermined household welfare and exacerbated poverty and vulnerability.\nIn August 2019, the President of Nigeria committed to empowering an additional 100 million people to escape extreme poverty by 2030. This means that, on average, 10 million people must be lifted out of poverty each year, starting from 2020. With the adverse impact of COVID-19 on livelihoods, and unemployment, this challenge has become even more important.\nIt is within this context that the Nigeria MPI (2022) survey was conducted across the 109 senatorial districts, establishing a baseline for the local government area (LGA) survey due in 2023, and future two-yearly national surveys.\nIn 2018, Nigeria published its first national MPI, constructed by the National Bureau of Statistics, in the Human Development Report (UNDP, 2018). However, subsequent consultations with stakeholder groups concluded that additional indicators were needed to accurately reflect poverty following the pandemic\u2014including among children. The Nigeria MPI (2022) survey questionnaire therefore included additional variables that were relevant given the new context and national priorities\u2014such as food security, water reliability, underemployment, security shocks, school lag and child deprivations.\nThe Nigeria MPI (2022) has four dimensions: health, education, living standards, and work and shocks. The number of indicators, and their ambition, have increased. Security shocks were raised in consultations and have been added to the work dimension, which also now includes underemployment. Food security and time to healthcare have been added to the health dimension. School lag has been added to the education dimension as a proxy for quality, and water reliability added to living standards. \nThe Nigeria MPI (2022) also has a linked Child MPI. This Child MPI extends the Nigeria MPI to include appropriate indicators for children under 5, by adding a fifth dimension of child survival and development. This additional dimension contains eight vital aspects of early childhood development in physical and cognitive domains\u2014including severe undernutrition, immunisation, intellectually stimulating activities, and preschool. While it does not offer individual-level data, it uncovers additional children who according to the extra dimension should qualify as multidimensionally poor.","coll_dates":[{"start":"2021-11-18","end":"2022-02-20","cycle":"50"}],"nation":[{"name":"Nigeria","abbreviation":"NGA"}],"geog_coverage":"National Zonal State Senatorial Sector","analysis_unit":"Individuals","universe":"Household Member","data_kind":"Sample survey data [ssd]","notes":"The Scope of the Multidimensional Poverty Index Surevy includes:\n\nIDENTIFICATION, \nDEMOGRAPHIC CHARACTERISTIC\nECONOMIC ACTIVITY AND WORK HISTORY OF PERSONS 15 YEARS AND ABOVE; WHO WORKED LAST WEEK\nFOOD SECURITY\nHEALTH\nFEDERAL GOVERNMENT CASH TRANSFER\nSAFETY AND SECURITY \nWATER AND SANITATION\nHOUSING CHARACTERISTICS\nHOUSEHOLD ASSETS\nEARLY CHILD DEVELOPMENT MEASUREMENT\nDEATHS IN THE LAST 12 MONTHS\nCOMMUNITY\/HOUSEHOLD READINESS FOR EPIDEMIC RESPONSE\nCOVID 19 AWARENESS & VACCINE,\nDISABILITY FOR 5 YEARS AND ABOVE\nNUTRITION ANTHROPOMETRY."},"method":{"data_collection":{"data_collectors":[{"name":"National Bureau of Statistics","abbr":"NBS","role":"","affiliation":"Federal Government of Nigeria (FGN)"}],"sampling_procedure":"SAMPLE DESIGN - FRAME: \n-The National frame of Enumeration Areas (EAs) newly demarcated for the forth coming Housing and Population Census by the Population Commission will be used to select the study units. \n-A household listing exercise will be carried out in all the selected EAs to be studied. This will provide updated sampling frame from which households will be selected for interview.\n\nSAMPLE DESIGN - SIZE:\n-One hundred and two (102) enumeration areas were selected in each State. \n-Thirty-four (34) EAs were selected per senatorial district in 36 states; the remaining EAs were located in the FCT.\n-A total of 3,774 EAs were covered across the 774 LGAs and 109 senatorial districts. \n-15 Households were interviewed in each selected EA, given a total of 1530 HHs (15HHs*102EAs) that were covered in each state. Subsequently, a total of 56,610 HHs were covered nationally","sampling_deviation":"No Deviations","coll_mode":["Face-to-face [f2f]"],"research_instrument":"The questionnaires for the MPI 2021 was a structured questionnaire . A household questionnaire was administered in each household, which collected various information on Identification, Demographic Characteristics, Economy Activity, Disability, Death in the last 12 months, Anthroprometry\/Child Nutrition, Food Security, Federal Government Cash Transfer, Health and Safety.\nSome of the questions were administered at household level while others were at individual level.","sources":[{"name":"","origin":"","characteristics":""}],"coll_situation":"The pre-test and training of field staff took place in September 2021. Piloting occurred in four States\u2014two from northern Nigeria (Kano and Plateau) and two from southern Nigeria (Akwa Ibom and Lagos). Two teams were constituted for each State, comprising a supervisor and four enumerators, resulting in 40 enumerators in total for the pre-test.\nFor the main survey, training of field staff took place in November 2021 in 36 States and FCT Abuja. Four teams were constituted in each State, comprising a supervisor, three enumerators and one measurer, resulting in 740 enumerators in total.","act_min":"The interviewing was conducted by teams of interviewers. Each interviewing team comprised of a Supervisor, Measurer, team mates and a driver.","weight":"Population and sample weight were calculated from the household data files","cleaning_operations":"Real - Time data editing took place at a number of stages throughout the processing, including:\n1) Data editing and cleaning\n2) Structure checking and completeness\n3) Secondary editing\n4) Structural checking of SPSS data files\nDetailed documentation of the editing of data can be found in the Data processing guidelines."},"method_notes":"Face-to-face interviews were conducted using the Census and Survey Processing System (CSPro) and computer-assisted personal interviewing (CAPI) data entry. As well as field supervision of \nthe enumeration teams, a team responsible for data quality protocols was established for real-time online data checks, comprising:\n- A data administrator who ensured the connectivity of the CAPI devices to the server and monitored downloading and uploading of data to and from enumerators in the field.\n-Eighteen data editors, each responsible for two States, who checked for any errors in the data downloaded from the server and communicated any corrections or clarifications to the enumerators.\n- A data cleaning team who cleaned the data in CSPro and Stata prior to its analysis.","analysis_info":{"response_rate":"In total, 56,610 households were selected for faceto-face interviews, of which 53,415 interviews were covered and 52,022 were completed, giving a response rate of 91.9%.","sampling_error_estimates":"The range within which we can say with 95% certainty that the true value falls, interval considering sampling errors.","data_appraisal":"A series of data quality tables and graphs are available in the reports."}},"data_access":{"dataset_use":{"conf_dec":[{"txt":"The confidentiality of the individual respondent is protected by law (Statistical Act 2007).This is published in the Official Gazette of the Federal republic of Nigeria No. 60 vol. 94 of 11th June 2007. See section 26 para.2. Punitive measures for breeches of confidentiality are outlined in section 28 of the same Act.","required":"yes","form_no":"","form_uri":""}],"contact":[{"name":"National Bureau of Statistics (NBS)","affiliation":"Federal Government of Nigeria (FGN)","email":"Feedback@nigerianstat.gov.ng","uri":"https:\/\/www.nigerianstat.gov.ng"}],"cit_req":"National Bureau of Statistics, Multidimentional Poverty index Survey 2021 v1.0 of the public use (April, 2023) provided by National Data Archive, https:\/\/www.nigerianstat.gov.ng","conditions":"A comprehensive data access policy is been developed by NBS, however section 27 of the Statistical Act 2007 outlines the data access obligation of data producers which includes the realease of properly anonymized micro data.","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"}