In 2023, Nigeria obtained **** points in the Digital Quality of Life index, ranking it **** worldwide. The score increased compared to the previous year when it stood at **** points. This indicated a improving quality of digital wellbeing in the country.

In 2022, Nigeria registered **** points in the Digital Quality of Life index. The country obtained the highest scores in the e-infrastructure and e-security pillars, with **** points and **** points, respectively. In contrast, the index was lowest under internet affordability.

Quality of Life was assessed using the WHO Quality of Life HIV BREF (WHOQOL-HIV BREF), a 31-item instrument designed to measure the quality of life in individuals with HIV infection.

The Afrobarometer project was designed to collect and disseminate information regarding Africans' views on democracy, governance, economic reform, civil society, and quality of life. This particular survey was concerned with the attitudes and opinions of the citizens of Nigeria. Respondents in a face-to-face interview were asked to rate their president and the president's administration in overall performance, to state the most important issues facing their nation, and to evaluate the effectiveness of certain continental and international institutions. Opinions were gathered on the role of the government in improving the economy, whether corruption existed in local and national government, whether government officials were responsive to problems of the general population, and whether local government officials, the police, the courts, the overall criminal justice system, the National Electoral Commission, and the government broadcasting service could be trusted. Respondents were polled on their knowledge of the government, including the identification of government officials, their level of personal involvement in political, governmental, and community affairs, their participation in national elections, and the inclusiveness of the government. Economic questions addressed the past, present, and future of the country's and the respondents' economic conditions, and respondents' living conditions. Additional topics included the performance of security forces during the 2007 election, government manipulation of security forces, the response of government agencies to election grievances, and causes and resolutions of violent conflicts. Background variables include age, gender, ethnicity, education, religious affiliation and participation, political party affiliation, language spoken most at home, whether the respondent was the head of household, current and past employment status, whether a close friend or relative had died from AIDS, and language used in the interview. In addition, the interviewer's gender, race, and education level is provided.

BackgroundHealth-related quality of life (HRQL) and economic burden are important issues for people with sickle cell disease (SCD) owing to better survival due to medical advances. Preference-based or utility information is necessary to make informed economic decisions on treatment and alternative therapies. This study aimed to assess preference-based measures of HRQL in sickle cell patients.Methods and findingsData were collected from two SCD outpatient clinics in Ibadan, Nigeria. A standard algorithm was used to derive utility scores, and measure SF-6D from the SF-36. A multivariate regression model was used to assess predictors and their impact. A combination of socio-demographic, bio-physiological and psychosocial variables predicted utility score in people with SCD. Socio-demographic and bio-physiological factors explained 7.5% and 17.9% of the variance respectively, while psychosocial factors explained 4.9%. Women had lower utility scores with a small effect size (d = 0.17). Utility score increased with level of education but decreased with age, anxiety, frequency of pain episodes and number of co-morbidities.ConclusionsUtility score in SCD was low indicating a substantial impact of the disease on HRQL of patients and the value they place on their health state due to the limitations they experienced. Interventions should include both clinical and psychosocial approach to help in improving their quality of life of the patients.

The Afrobarometer project was designed to assess attitudes toward democracy, governance, economic reform, quality of life, and civil society in several sub-Saharan African nations, and to track the evolution of such attitudes in those nations over time. This particular survey was concerned with the attitudes and opinions of the citizens of Nigeria. Respondents in a face-to-face interview were asked to rate Nigeria's President Olusegun Obasanjo and his administration's overall performance, to state the most important issues facing the nation, and to evaluate the effectiveness of certain continental and international institutions. Opinions were gathered on the role of the government in improving the economy, whether corruption existed in local and national government, whether government officials were responsive to problems of the general population, and whether local government officials, the police, the courts, the overall criminal justice system, the media, the National Electoral Commission, and the government broadcasting service could be trusted. Respondents were polled on their knowledge of government officials, their level of personal involvement in political, governmental, and community affairs, their participation in national elections, the inclusiveness of the government, and the identification of causes of conflict and resources that may aid in the resolution of conflict. Economic questions addressed the past, present, and future of the country's and the respondent's economic condition, and whether great income disparities are fair. Societal questions were asked of respondents concerning the meaning of being "poor" and "rich," monetary support systems, personal responsibility for success or failure, characteristics used in self-identification, methods for securing food, water, schooling, medical services, news and information, and ease of obtaining assistance for certain services. Background variables include age, gender, ethnicity, education, religious affiliation and participation, political party affiliation, language spoken most at home, whether the respondent was head of household, current and past employment status, whether a close friend or relative had died from AIDS, language used in interview, and type of physical disability, if any. In addition, demographic information pertaining to the interviewer is provided, as well as their response to the interview, observations of the respondent's attitude during the interview and of the interview environment.

In 2024, Sudan was ranked as the most miserable country in the world, with a misery index score of 374.8. Argentina ranked second with an index score of 195.9. Quality of life around the worldThe misery index was created by the economist Arthur Okun in the 1960s. The index is calculated by adding the unemployment rate, the lending rate and the inflation rate minus percent change of GDP per capita. Another famous tool used for the comparison of development of countries around the world is the Human Development Index, which takes into account such factors as life expectancy at birth, literacy rate, education level and gross national income (GNI) per capita. Better economic conditions correlate with higher quality of life Economic conditions affect the life expectancy, which is much higher in the wealthiest regions. With a life expectancy of 85 years, Liechtenstein led the ranking of countries with the highest life expectancy in 2023. On the other hand, Nigeria was the country with the lowest life expectancy, where men were expected to live 55 years as of 2024. The Global Liveability Index ranks the quality of life in cities around the world, basing on political, social, economic and environmental aspects, such as personal safety and health, education and transport services and other public services. In 2024, Vienna was ranked as the city with the highest quality of life worldwide.

BackgroundPulmonary tuberculosis (PTB) often results in residual anatomical and functional changes despite microbiological cure and may be complicated by chronic pulmonary aspergillosis (CPA). In this study, we determined the perceived health-related quality of life (HRQoL) of patients during and after PTB therapy and compared it with their quantitative Aspergillus-specific IgG positivity rates.MethodologyWe conducted a longitudinal study among TB patients attending two directly observed therapy short-course (DOTS) clinics in Lagos, Nigeria. Two hundred and four confirmed TB patients were recruited over 9 months, with five visits at baseline and 3, 6, 9, and 12 months. They were all acid-fast bacilli smear, GeneXpert, or culture positive for Mycobacterium tuberculosis. Two HRQoL questionnaires translated into Yoruba were self-administered. Chest X-ray and Aspergillus IgG were collected at each visit.ResultsA total of 204 participants were recruited into this study. Most (70.6%) were age 18–39 years, and only 3.9% were above 60 years; 66.7% of all participants were males. A total of 189 (92.6%) participated in the 3-month assessment, 174 (85.3%) at 6 months, 139 (68.1%) at 9 months, and 99 (48.5%) at 12 months. At baseline, only 60.9% scored “good” or “very good” QoL and health on the WHOQOL-Bref, which improved to 77% at 6 months. At baseline, 10.4% had positive Aspergillus IgG levels, 15.1% at 3 months, 11.5% at 6 months, 16.7% at 9 months, and 19.3% at 12 months. Those with a positive Aspergillus IgG at 6 months had worse physical health (p = 0.001), psychological state (p = 0.002), social relationships (p = 0.006), and environmental QoL (p = 0.001) domains of the WHOQOL-Bref. Probable CPA was 10.4% at baseline and 19.3% at 6 months post-PTB therapy. Thirty-eight (18.6%) relocated after 6 months of treatment, 16 (7.8%) were lost to follow-up, and 11 (5.4%) died.ConclusionOur findings reveal a significant relationship between the QoL and Aspergillus IgG levels of TB patients. Further follow-up studies and additional imaging are required to determine when patients develop CPA and its clinical impact.

Dataset of fish epidemiology and health economics in Ogun and Delta States to understand epidemiology and health economics of catfish and tilapia The purpose of this dataset was to collect information on catfish production systems, inputs, outputs, health management practices, baseline and abnormal moralities, biosecurity, and health economics in Ogun and Delta states, Nigeria.. The uploaded files include: Cleaned, de-identified datasets in csv format (multiple individual CSV file for each of the tab in the XLS). Full Datasets in XLS format Blank consent form Codebook for the dataset

The Afrobarometer project was designed to collect and disseminate information regarding Africans' views on democracy, governance, economic reform, civil society, and quality of life. This particular data collection was concerned with the attitudes and opinions of the citizens of Nigeria. Respondents in a face-to-face interview were asked to rate their president and the president's administration in overall performance, to state the most important issues facing their nation, and to evaluate the effectiveness of certain continental and international institutions. Opinions were gathered on the role of the government in improving the economy, whether corruption existed in local and national government, whether government officials were responsive to problems of the general population, and whether local government officials, the police, the courts, the overall criminal justice system, and the National Electoral Commission could be trusted. Additionally respondents were polled about their political involvement and opinions on controversial topics. Economic questions addressed the past, present, and future of the country's and the respondents' living conditions. Demographic variables include age, gender, ethnicity or tribe, education, and employment status.

In 2024, Cameroon registered the highest score in the pollution index in Africa. The Central African country scored **** in the pollution index. Nigeria and Ghana followed, with ****, each.In terms of cities, the Egyptian capital, Cairo, recorded the highest pollution index on the continent.

Abstract

The Nigeria Multiple Indicator Cluster Survey (MICS) 2016-17 was conducted by the National Bureau of Statistics (NBS) in collaboration with United Nations Children's Fund (UNICEF). It is part of the global MICS exercise aimed primarily to collect data on main indicators related to survival, development and protection of children, women and men. In Nigeria, the current survey is the fifth round, having previously conducted the survey in 1995, 1999, 2007 and 2011. The survey serves as a reliable information source and a sound basis for informed decision-making for planners, policy-makers and programme implementers.

More specifically, Nigeria MICS 2016-17 collected data on indicators related to child mortality; child and maternal nutrition; child health, reproductive health; water and sanitation; child development; literacy and education; child protection; knowledge of HIV and AIDS; access to mass media and use of information and communication technology among others. The survey provides estimated disaggregation of Nigeria by states, geo political zones, sex, age, residence (urban and rural), mother's education and wealth quintiles. For this round of Nigeria MICS, water quality testing was also included for the first time and has generated valuable data on the quality of drinking water consumed at the household level. This was done by subjecting water used in the household for cooking and drinking to microbiological parameters test. (related to E.coli and coliform).

The current round of MICS has been expanded in content and scope to include questionnaires for individual men and water quality test. New modules were also introduced such as tobacco and alcohol use, life satisfaction, access to mass media and use of information and communication technology. Another innovation introduced in the MICS 2016-17 also included the pilot testing of further analysis and disaggregation of state data up to senatorial district levels (as can be seen in Lagos and Kano states) with the aim of providing data that can be used for better planning and programming at the grassroots. The climax of the new innovations was the successful combination and implementation of two National surveys (The Multiple Indicator Cluster Survey and the National Immunization Coverage Survey - MICS/NICS) jointly executed together.

Nigeria MICS data will aid in monitoring progress towards post Millennium Development Goals (MDGs) as well as various international agreements such as A World Fit for Children (WFFC). The survey's findings also provide a baseline for Sustainable Development Goals (SDGs) for Nigeria. I am confident that the findings from Nigeria MICS 2016-17 will be instrumental in formulating sectoral plans and shaping policies toward the post-MDG agenda. I look forward to see the results and the dataset being used widely and effectively by the public, most especially the policy-makers, planners, researchers, development partners and Non Governmental Organizations (NGOs) to formulate and monitor programmes and strategies.

The primary objectives of Multiple Indicator Cluster Survey (MICS) Nigeria 2016-17 are:

• To provide up-to-date information for assessing the situation of children and women in Nigeria;

• To generate data for the critical assessment of the progress made in various programme areas, and to identify areas that require more attention;

• To contribute to the generation of baseline data for the SDG;

• To furnish data needed for monitoring progress toward goals established in the post Millennium Declaration and other internationally agreed goals, as a basis for future action;

• To provide disaggregated data to identify disparities among various groups to enable evidence based actions aimed at social inclusion of the most vulnerable;

Geographic coverage

National converage

Analysis unit

Household Women Men Children under 5

Universe

the survey covered - all household - all Women (15-49 years) - men (15-49 years) - children under five

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for the Nigeria MICS 2016-17 was designed to provide estimates for a large number of indicators on the situation of children and women at the national, rural/urban, states as well as the 6 geo-political zones of Nigeria. The states within each zone were identified as the main sampling Strata while the Enumeration Areas (EAs) within each state were identified as the Primary Sampling Units (PSUs). The EAs for the survey were selected from the National Integrated Survey of Households round 2 (NISH2) master sample, based on a list of EAs prepared for the 2006 Population Census. Two stage sampling was conducted with the first stage being the selection of EAs within the strata while the second stage was the selection of households within each EAs.

Within each state, 60 EAs were selected systematically from the NISH2 master sample, apart from Lagos and Kano states where 120 EAs (respectively) were sampled. The larger sample size for Lagos and Kano states was based on requests by the respective State governments to have sufficient sample to enable disaggregation of indicators at senatorial district level. After a household listing was carried out within the selected EAs, a systematic sample of sixteen (16) households was drawn in each sample EA. The sample was stratified by state and is not self-weighting. For reporting of results, sample weights were applied. Out of 2340 EAs selected for coverage, 2,239 were listed and covered during the fieldwork period. A total of 101 EAs could not be enumerated because they were inaccessible due to insecurity especially in Borno, Yobe and Adamawa states. A more detailed description of the sample design can be found in Appendix A,

The sample size for the Nigeria NICS was calculated as 44,960 households.

The Nigeria MICS 2016-17 was implemented jointly with the National Immunisation Coverage Survey (NICS) which was designed to provide estimates of vaccine coverage for the country. However, the sample size for MICS 2016-17 was not sufficient to estimate state level vaccination coverage for children aged 12 to 23 months in twenty states, namely: Abia, Akwa ibom, Anambra, Bayelsa, Benue, Cross River, Delta, Edo, Ekiti, Enugu, Imo, Kogi, Kwara, Ogun, Ondo, Osun, Oyo, Plateau, Rivers and FCT (Abuja). Consequently, supplemental sampling was conducted to meet the requirements for vaccine coverage estimation, in these twenty states.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Four sets of questionnaires were used in the MICS 2016-17: 1. Household questionnaire - used to collect basic demographic information on all the household members (usual residents) and household characteristics; 2. Individual women questionnaire - administered in each household to all women age 15-49 years; 3. Individual men questionnaire - administered to all men age 15-49 years in every other(one in every two) households; 4. Under-5 children questionnaire - administered to mothers or caretakers of all children under 5 years of age2 living in sampled households.

The questionnaires are based on the MICS5 questionnaire model (English version), customised and pre-tested in Cross River, Enugu, Gombe, Lagos, Kaduna, Kano, Nasarawa and Oyo states in April, 2016. Based on the results of the pre-test, modifications were made to the wording of the questionnaires. A copy of the Nigeria MICS questionnaires is provided in Appendix F.

In addition to the administration of questionnaires, salt iodization and water quality tests were conducted. Weight and height of children age under 5 years were also measured.. Details of the tests and measurements are provided in the respective sections of the report.

Cleaning operations

Data were analysed using the Statistical Package for Social Scientists (SPSS) software, Version 21. Model syntax and tabulation plans developed by UNICEF MICS team were customized and used for this purpose.

Response rate

Out of 37,440 households sampled, 35,747 households were visited, 34,289 were found to be occupied and 33,901 were successfully interviewed, representing a household response rate of 98.9 percent.

In the interviewed households, 36,176 women (age 15-49 years) were identified. Of these, 34,376 were successfully interviewed, yielding a response rate of 95.0 percent within the interviewed households.

The survey also sampled men (age 15-49), but required only a subsample. All men (age 15-49) were identified in 17,868 households selected for the men questionnaire; 16,514 men (age 15-49 years) were listed in the household questionnaires. Questionnaires were completed for 15,183 eligible men, which corresponds to a response rate of 91.9 percent within eligible interviewed households.

There were 28,578 children under age five listed in the household questionnaires. Questionnaires were completed for 28,085 of these children, which corresponds to a response rate of 98.3 percent within interviewed households.

Overall response rates of 93.9, 90.9 and 97.2 are calculated for the individual interviews of women, men, and under-5s, respectively

Sampling error estimates

The sample of respondents selected in the Multiple Indicator Cluster Survey (MICS) 2016 is only one of the samples that could have been selected from the same population, using the same design and size. Each of these samples would yield results that differ somewhat from the results of the actual sample selected. Sampling errors are a measure of the variability between the estimates from all possible

There have been reported association of oral health disorders with burnout, stress, and mental health. Arguably, with these reported associations, and the current prevalence of burnout amongst Nigerian doctors, exploring the role of burnout on oral health amongst Nigerian doctors is timely. This study aims to determine the relationship between burnout and oral health-related quality of life amongst Early Career Doctors (ECDs) in Nigeria, while also identifying the role other possible predictors plays in this relationship. This was a cross-sectional study conducted amongst Nigerian ECDs as part of Challenges of Residency Training in Nigeria (CHARTING) II project. A total of 632 ECDs were recruited across thirty-one tertiary hospitals in the 6 geopolitical zones of the country using a multistage cluster sampling technique. A self-administered paper-based semi-structured questionnaire was given to each participant that consented. The tools used to assess burnout and Oral health-related quality of life (OHRQoL) were Copenhagen Burnout Inventory (CBI) and Oral Health Impact Profile (OHIP-14) respectively. Independent samples T-test, ANOVA and Multiple linear regression were used to draw inferences from the data collected. Overall mean OHIP-14 score of all participants was 11.12 (±9.23). The scores for the 3 dimensions of burnout were below 50% with CBI-Personal Burnout having the highest score of 49.96 (±19.15). Significant positive correlations (p < 0.001) were found between OHIP-14 and all the dimensions of burnout, as the burnout scores were increasing, there was a corresponding increase in the OHIP scores thus poorer OHRQoL. The regression model shows that the predictors of OHIP were CBI-PB (p = 0.003), use of fluoride paste (p = 0.039), use of tobacco (p = 0.005) and being a denture user (p = 0.047). This study shows a positive correlation between burnout and OHIP of ECDs. We found that as burnout was increasing, OHIP increased thus implying poorer oral health related quality of life amongst ECDs. The use of fluoride toothpaste, tobacco and denture are other factors we found that could affect the OHIP of ECDs.

This dataset contains the monthly number of calls received by the Honey & Banana Connect call center during the period from January 2021 through December 2022. The Honey & Banana Connect call center aims to increase access to high quality, anonymous family planning information and services for young people in Nigeria. The Honey & Banana Connect call center is implemented by DKT Nigeria, with funding the Bill and Melinda Gates Foundation.

Quality of Life encompasses an individual’s well-being and health, social participation and satisfaction with functional daily living. Disabilities such as deafness can impact on the quality of life with spatial variance to the environment. Deafness causes communicative problems with significant consequences in cognitive, social, and emotional well-being of affected individuals. However, information relating to the quality of life of deaf and hard of hearing individuals, especially students in developing countries like Nigeria, which could be used to design special health-related interventions is sparse. This study examined the quality of life of deaf and hard of hearing students in Ibadan metropolis, Nigeria. One hundred and ten deaf and hard of hearing students participated in this cross-sectional study. Participants were drawn from all four secondary schools for the Deaf in Ibadan metropolis. The 26 item Brief version of the WHO Quality of Life questionnaire was used for data collection. The data was analyzed using descriptive and inferential statistics at statistical significance of p

The purpose of this study was to explore the way of life of ordinary urban residents in cities of varying sizes and types in various parts of Nigeria, especially in regard to social networks and activities, occupational and migration careers, and attitudes toward urban life, education and members of ethnic groups. Variables Dr Peil's study was designed as a comparative study of the daily life of people living in cities in various parts of Nigeria, these cities differing in size and composition. Data were collected by oral interviewing, supplemented by observation, mapping, recording of schools, churches, health facilities, government services, craftsmen, etc. Only the interviewing data (from cities Ajegunle, Kikuri, Abeokuta and Aba) have been supplied to the Archive. To quote from Dr Peil's report: 'Investigation of social networks provides a framework for testing hypotheses about social change and modernity, adjustment to urban life and the social effects of various types of housing and various kinds of employment. Identical studies of several cities permit analysis of the effects of city size, heterogeneity and social structure on the lives of the inhabitants. . . . The 'quality of life' measured in this study is concerned with items which can be easily reported by individuals rather than with official statistics. . . . It was also hoped that this study would be useful to urban planners, who generally have very little information on what the average family makes of its life in town. What are their expectations and their aspirations? What amenities do they most appreciate and most miss? How much urban experience have they had and how long can they be expected to stay, especially in the face of unemployment? How much unemployment is there and how are the unemployed supported?. . .' Hence, there is detailed demographic information for a general picture of the population of the four cities. The housing section collects details on household composition, overcrowding, landlords and inter-ethnic mixing. Marriage and kinship information indicates the numbers and location of wives and children, attitudes and practices in educating children, contacts with relatives in town and at home, and plans for returning home. A social life section deals with membership in associations, and contacts with co-tenants, workmates and friends. Information is also collected on how urban dwellers handle problems, and there is detailed occupational and migration career data.

The Afrobarometer project assesses attitudes toward democracy, markets, and society in several sub-Saharan African countries. This dataset was compiled from the studies in Round 1 of the Afrobarometer, conducted from 1999-2001 in 12 African countries. Certain questions addressed country-specific issues, but many questions were asked in every survey. Respondents were queried on the politics, educational standards, and economics of their respective countries. Specific questions addressed their satisfaction with the current form of government, the extent of the government's power, the names of government officials, their trust in political and governmental officials and institutions, and comparisons between the current government and the former government. Other relevant questions focused on the meaning of democracy and its applications, the development of the country, political corruption, and the rating of and satisfaction with the respective country's economy. Respondents were polled on a range of social and quality of life issues. They were asked with which groups they identified, the source or sources of their current event information and news, and the frequency of occasions they had gone without necessities like food, money, and shelter. Demographic variables include age, country, district, education, languages spoken, occupation, party affiliation, political party, urban versus rural living environment, primary language, and whether the respondent voted in prior elections.

This dataset collected qualitative dietary information, with a focus on fish, from over 700 households across nine states in Nigeria. Household members interviewed included men, women, and the caretaker of a child under two.

The project connects farmers with suppliers, improve agriculture extension services and inputs, and stimulate market growth to present new opportunities for millions of households to improve their standard of living and quality of life. This data asset contains agricultural prices for select markets on a monthly basis from January 2000 to December 2016 in Kebbi State. Data consists of 14 files with monthly prices for maize, millet, sorghum and rice in select markets in Kebbi State.

In 2024, the average life expectancy in the world was 71 years for men and 76 years for women. The lowest life expectancies were found in Africa, while Oceania and Europe had the highest. What is life expectancy?Life expectancy is defined as a statistical measure of how long a person may live, based on demographic factors such as gender, current age, and most importantly the year of their birth. The most commonly used measure of life expectancy is life expectancy at birth or at age zero. The calculation is based on the assumption that mortality rates at each age were to remain constant in the future. Life expectancy has changed drastically over time, especially during the past 200 years. In the early 20th century, the average life expectancy at birth in the developed world stood at 31 years. It has grown to an average of 70 and 75 years for males and females respectively, and is expected to keep on growing with advances in medical treatment and living standards continuing. Highest and lowest life expectancy worldwide Life expectancy still varies greatly between different regions and countries of the world. The biggest impact on life expectancy is the quality of public health, medical care, and diet. As of 2022, the countries with the highest life expectancy were Japan, Liechtenstein, Switzerland, and Australia, all at 84–83 years. Most of the countries with the lowest life expectancy are mostly African countries. The ranking was led by the Chad, Nigeria, and Lesotho with 53–54 years.