The average for 2023 based on 11 countries was 49.48 percent. The highest value was in Thailand: 51.26 percent and the lowest value was in Brunei: 46.86 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

In 2022, about 53 percent of the population in Brunei were male. In comparison, Myanmar had a larger female population, at 52.2 percent of the total in the same year.

The average for 2023 based on 47 countries was 48.3 percent. The highest value was in Hong Kong: 54.92 percent and the lowest value was in Qatar: 28.48 percent. The indicator is available from 1960 to 2023. Below is a chart for all countries where data are available.

With an average of *** births per woman, Afghanistan had the highest fertility rate throughout the Asia-Pacific region in 2024. Pakistan and Papua New Guinea followed with the second and third-highest fertility rates, respectively. In contrast, South Korea and Hong Kong had the lowest fertility rates across the region. Contraception usage Fertility rates among women in the Asia-Pacific region have fallen throughout recent years. A likely reason is an increase in contraception use. However, contraception usage varies greatly throughout the Asia-Pacific region. Although contraception prevalence is set to increase across South Asia by 2030, women in both East Asia and Southeast Asia had higher contraception usage compared to South Asia in 2019. Women in APAC With the rise of feminism and the advancement of human rights, attitudes towards the role of women have changed in the Asia-Pacific region. Achieving gender equality has become a vital necessity for both men and women throughout the region. Alongside changes in traditional gender roles, women in certain Asia-Pacific countries, such as New Zealand, have become more inclined to marry later in life. Furthermore, the focus for younger women appears to be with having stability in their lives and securing an enjoyable job. This was displayed when female high school students in Japan were questioned about their future life aspirations.

In the middle of 2023, about 60 percent of the global population was living in Asia.The total world population amounted to 8.1 billion people on the planet. In other words 4.7 billion people were living in Asia as of 2023. Global populationDue to medical advances, better living conditions and the increase of agricultural productivity, the world population increased rapidly over the past century, and is expected to continue to grow. After reaching eight billion in 2023, the global population is estimated to pass 10 billion by 2060. Africa expected to drive population increase Most of the future population increase is expected to happen in Africa. The countries with the highest population growth rate in 2024 were mostly African countries. While around 1.47 billion people live on the continent as of 2024, this is forecast to grow to 3.9 billion by 2100. This is underlined by the fact that most of the countries wit the highest population growth rate are found in Africa. The growing population, in combination with climate change, puts increasing pressure on the world's resources.

Abstract

Facebook’s Survey on Gender Equality at Home generates a global snapshot of women and men’s access to resources, their time spent on unpaid care work, and their attitudes about equality. This survey covers topics about gender dynamics and norms, unpaid caregiving, and life during the COVID-19 pandemic. Aggregated data is available publicly on Humanitarian Data Exchange (HDX). De-identified microdata is also available to eligible nonprofits and universities through Facebook’s Data for Good (DFG) program. For more information, please email dataforgood@fb.com.

Geographic coverage

This survey is fielded once a year in over 200 countries and 60 languages. The data can help researchers track trends in gender equality and progress on the Sustainable Development Goals.

Analysis unit

• Public Aggregate Data on HDX: country or regional levels
• De-identified Microdata through Facebook Data for Good program: Individual level

Universe

The survey was fielded to active Facebook users.

Kind of data

Sample survey data [ssd]

Sampling procedure

Respondents were sampled across seven regions: - East Asia and Pacific; Europe and Central Asia - Latin America and Caribbean - Middle East and North Africa - North America - Sub-Saharan Africa - South Asia

For the purposes of this report, responses have been aggregated up to the regional level; these regional estimates form the basis of this report and its associated products (Regional Briefs). In order to ensure respondent confidentiality, these estimates are based on responses where a sufficient number of people responded to each question and thus where confidentiality can be assured. This results in a sample of 461,748 respondents.

The sampling frame for this survey is the global database of Facebook users who were active on the platform at least once over the past 28 days, which offers a number of advantages: It allows for the design, implementation, and launch of a survey in a timely manner. Large sample sizes allow for more questions to be asked through random assignment of modules, avoiding respondent fatigue. Samples may be drawn from diverse segments of the online population. Knowledge of the overall sampling frame allowed for more rigorous probabilistic sampling techniques and non-response adjustments than is typical for online and phone surveys

Mode of data collection

Internet [int]

Research instrument

The survey includes a total of 75 questions, split across into the following sections: - Basic demographics and gender norms - Decision making and resource allocation across household members - Unpaid caregiving - Additional household demographics and COVID-19 impact - Optional questions for special groups (e.g. students, business owners, the employed, and the unemployed)

Questions were developed collaboratively by a team of economists and gender experts from the World Bank, UN Women, Equal Measures 2030, and Ladysmith. Some of the questions have been borrowed from other surveys that employ alternative modes of administration (e.g., face-to-face, telephone surveys, etc.); this allows for comparability and identification of potential gaps and biases inherent to Facebook and other online survey platforms. As such, the survey also generates methodological insights that are useful to researchers undertaking alternative modes of data collection during the COVID-19 era.

In order to avoid “survey fatigue,” wherein respondents begin to disengage from the survey content and responses become less reliable, each respondent was only asked to answer a subset of questions. Specifically, each respondent saw a maximum of 30 questions, comprising demographics (asked of all respondents) and a set of additional questions randomly and purposely allocated to them.

Response rate

Response rates to online surveys vary widely depending on a number of factors including survey length, region, strength of the relationship with invitees, incentive mechanisms, invite copy, interest of respondents in the topic and survey design.

Sampling error estimates

Any survey data is prone to several forms of error and biases that need to be considered to understand how closely the results reflect the intended population. In particular, the following components of the total survey error are noteworthy:

Sampling error is a natural characteristic of every survey based on samples and reflects the uncertainty in any survey result that is attributable to the fact that not the whole population is surveyed.

Other factors beyond sampling error that contribute to such potential differences are frame or coverage error and nonresponse error.

Data appraisal

Survey Limitations The survey only captures respondents who: (1) have access to the Internet (2) are Facebook users (3) opt to take this survey through the Facebook platform. Knowledge of the overall demographics of the online population in each region allows for calibration such that estimates are representative at this level. However, this means the results only tell us something about the online population in each region, not the overall population. As such, the survey cannot generate global estimates or meaningful comparisons across countries and regions, given the heterogeneity in internet connectivity across countries. Estimates have only been generated for respondents who gave their gender as male or female. The survey included an “other” option but very few respondents selected it, making it impossible to generate meaningful estimates for non-binary populations. It is important to note that the survey was not designed to paint a comprehensive picture of household dynamics but rather to shed light on respondents’ reported experiences and roles within households

In 2024, the average number of children born per 1,000 people in China ranged at 6.77. The birth rate has dropped considerably since 2016, and the number of births fell below the number of deaths in 2022 for the first time in decades, leading to a negative population growth rate. Recent development of the birth rate Similar to most East-Asian countries and territories, demographics in China today are characterized by a very low fertility rate. As low fertility in the long-term limits economic growth and leads to heavy strains on the pension and health systems, the Chinese government decided to support childbirth by gradually relaxing strict birth control measures, that had been in place for three decades. However, the effect of this policy change was considerably smaller than expected. The birth rate increased from 11.9 births per 1,000 inhabitants in 2010 to 14.57 births in 2012 and remained on a higher level for a couple of years, but then dropped again to a new low in 2018. This illustrates that other factors constrain the number of births today. These factors are most probably similar to those experienced in other developed countries as well: women preferring career opportunities over maternity, high costs for bringing up children, and changed social norms, to name only the most important ones. Future demographic prospects Between 2020 and 2023, the birth rate in China dropped to formerly unknown lows, most probably influenced by the coronavirus pandemic. As all COVID-19 restrictions were lifted by the end of 2022, births figures showed a catch-up effect in 2024. However, the scope of the rebound might be limited. A population breakdown by five-year age groups indicates that the drop in the number of births is also related to a shrinking number of people with child-bearing age. The age groups between 15 and 29 years today are considerably smaller than those between 30 and 44, leaving less space for the birth rate to increase. This effect is exacerbated by a considerable gender gap within younger age groups in China, with the number of females being much lower than that of males.

This dataset provides the estimated number of women aged 15–49 years in each country, based on the 2024 revision of the UN Population Division’s World Population Prospects. This age group is commonly defined as women of reproductive age and is used as the denominator in calculating key sexual and reproductive health indicators. These estimates support health system planning, resource allocation, and monitoring of service coverage for women across the reproductive life course.Data Source:UN Population Division’s World Population Prospects: https://population.un.org/wpp/ Data Dictionary: The data is collated with the following columns:Column headingContent of this columnPossible valuesRefNumerical counter for each row of data, for ease of identification1+CountryShort name for the country195 countries in total – all 194 WHO member states plus PalestineISO3Three-digit alphabetical codes International Standard ISO 3166-1 assigned by the International Organization for Standardization (ISO). e.g. AFG (Afghanistan)ISO22 letter identifier code for the countrye.g. AF (Afghanistan)ICM_regionICM Region for countryAFR (Africa), AMR (Americas), EMR (Eastern Mediterranean), EUR (Europe), SEAR (South east Asia) or WPR (Western Pacific)CodeUnique project code for each indicator:GGTXXnnnGG=data group e.g. OU for outcomeT = N for novice or E for ExpertXX = identifier number 00 to 30nnn = identifier name eg mmre.g. OUN01sbafor Outcome Novice Indicator 01 skilled birth attendance Short_nameIndicator namee.g. maternal mortality ratioDescriptionText description of the indicator to be used on websitee.g. Maternal mortality ratio (maternal deaths per 100,000 live births)Value_typeDescribes the indicator typeNumeric: decimal numberPercentage: value between 0 & 100Text: value from list of text optionsY/N: yes or noValue_categoryExpect this to be ‘total’ for all indicators for Phase 1, but this could allow future disaggregation, e.g. male/female; urban/ruraltotalYearThe year that the indicator value was reported. For most indicators, we will only report if 2014 or more recente.g. 2020Latest_Value‘LATEST’ if this is the most recent reported value for the indicator since 2014, otherwise ‘No’. Useful for indicators with time trend data.LATEST or NOValueIndicator valuee.g. 99.8. NB Some indicators are calculated to several decimal places. We present the value to the number of decimal places that should be displayed on the Hub.SourceFor Caesarean birth rate [OUN13cbr] ONLY, this column indicates the source of the data, either OECD when reported, or UNICEF otherwise.OECD or UNICEFTargetHow does the latest value compare with Global guidelines / targets?meets targetdoes not meet targetmeets global standarddoes not meet global standardRankGlobal rank for indicator, i.e. the country with the best global score for this indicator will have rank = 1, next = 2, etc. This ranking is only appropriate for a few indicators, others will show ‘na’1-195Rank out ofThe total number of countries who have reported a value for this indicator. Ranking scores will only go as high as this number.Up to 195TrendIf historic data is available, an indication of the change over time. If there is a global target, then the trend is either getting better, static or getting worse. For mmr [OUN04mmr] and nmr [OUN05nmr] the average annual rate of reduction (arr) between 2016 and latest value is used to determine the trend:arr <-1.0 = getting worsearr >=-1.0 AND <=1.0 = staticarr >1.0 = getting betterFor other indicators, the trend is estimated by comparing the average of the last three years with the average ten years ago:decreasing if now < 95% 10 yrs agoincreasing if now > 105% 10 yrs agostatic otherwiseincreasingdecreasing Or, if there is a global target: getting better,static,getting worseNotesClarification comments, when necessary LongitudeFor use with mapping LatitudeFor use with mapping DateDate data uploaded to the Hubthe following codes are also possible values:not reported does not apply don’t knowThis is one of many datasets featured on the Midwives’ Data Hub, a digital platform designed to strengthen midwifery and advocate for better maternal and newborn health services.

Middlesbrough’s current population was estimated to be 140,398 in 2016 by the Office of National Statistics (Mid-year population estimates 2016). With a total area of 5,387 hectares, Middlesbrough is the smallest and second most densely-populated local authority area in the north east. Significant changes in the population demographics of Middlesbrough since the 2001 Census highlight an increasingly diverse and ageing population in the town.Age[1]Middlesbrough has a younger population than both the national and regional averages, however there has been significant growth in the ageing population since Census 2001.20.58% of Middlesbrough’s resident population are Children and Young People aged 0 to 15 years. This is higher than the England rate of 19.05% and the north east rate of 17.74%.63.56% are ‘working age’ between 16 and 64 years. This is higher than both the England rate of 63.07% and the north east rate of 63.01%.15.90% are ‘older people’ aged over 65 years. This is lower than both the England rate of 17.88% and the north east rate of 19.25%.Gender [2]50.85% of Middlesbrough’s population were estimated to be female. This is in line with both the England rate of 50.60% and the north east rate of 50.92%49.15% of Middlesbrough’s population were estimated to be male. This is in line with the England rate of 49.40% and the north east rate of 49.08%.Women in Middlesbrough live longer than men, with 17.62% of women are aged over 65 years. This is lower than both the England rate of 19.75% and the north east rate of 21.43%The gender breakdown of Council employment figures is 70.57% women and 29.42% men. This is not reflective of the wider labour market figures of 47% and 53% respectively[3] though it is broadly comparable with the employment levels in other local authorities.[4]Sexual Orientation[5]Office for National Statistics has estimated that 94.6% of Middlesbrough’s population identify as heterosexual or straight, with 1.2% identifying as gay or lesbian, 0.4% identify as bisexual, as a result of the Annual Population Survey 2016. This is higher than the north east region and England.Ethnic Diversity[6]Middlesbrough is the most ethnically diverse local authority area in the Tees Valley, with a British Minority Ethnic population of 11.7% identified at Census 2011, an increase of 86% since 2001 and which is projected to grow further.88.18% of Middlesbrough’s resident population were classed as White (with various sub-groups) this was lower than the north east rate of 93.63% but higher than the England rate of 79.75%. Middlesbrough is the second most ethnically diverse local authority in the north east, behind Newcastle upon Tyne with 81.92% classed as White.7.78% were classed as Asian/Asian British (with sub-groups), this is higher than the north east rate of 2.87% but slightly lower albeit in lien with the England rate of 7.82%. Again, Middlesbrough is only behind Newcastle upon Tyne on this measure (9.67%), however has the highest percentage in the Tees Valley.1.71% of the population were identified as Mixed/Multiple ethnic groups (with sub-groups), this was higher than the north east rate of 0.86% but slower than the national rate of 2.25%. Middlesbrough had the highest percentage of this group in the north east.1.25% of the population were identified as Black/Africa/Caribbean/Black British, this was higher than the north east rate of 0.51% but lower than the England rate of 3.48%. Middlesbrough is only behind Newcastle upon Tyne on this measure (1.84%), however has the highest percentage in the Tees Valley.1.08% of the population were identified as Other Ethnic Group, this was higher than both the England rate of 1.03% and the north east rate of 0.43%. Middlesbrough is only behind Newcastle upon Tyne with 1.46%, however has the highest percentage in the Tees Valley.8.2% of Middlesbrough’s total population were born outside of the UK as at census 2011, this was lower than the England rate of 8.21% but almost double the north east rate of 4.95%. Middlesbrough has the highest percentage of residents born outside of the UK in the Tees Valley, however it is second behind Newcastle upon Tyne in the north east.15.74% of Asylum seekers in the north east were reported to be resident in Middlesbrough in the period October to December 2017 (Q4). Newcastle upon Tyne has the highest rate with 23.66%, followed by Stockton-on-Tees with 19.73%, this places Middlesbrough third in the north east and second in the Tees Valley.ONS reports a rise in the number of Non-British nationals per 1,000 of the resident population, with 51.1 in 2011 and 72.5 in 2015. This is higher than the north east with 27.7 rising to 34.3 and lower than England at 83.5 rising to 93.2Gender Identity[7]The Gender Identity Research & Education Society (GIRES) estimates that about 1% of the British population are gender nonconforming to some degree. The numbers of Trans boys and Trans girls are about equal. The number of people seeking treatment is growing every year.Based on GIRES estimate, around 1,400 members of Middlesbrough’s population could be gender nonconforming, however this is an estimate.Whilst there is a requirement for data on gender identity, there are currently no means for recording it. The Office for National Statistics is currently considering the addition of a question on Gender Identity for the 2021 Census, however at this time it is under consultation as to how it will be added and worded to best suit this group of the population.Religion and Belief71.59% of Middlesbrough’s resident population were identified as having religion in the 2011 census. This is higher than both England with 68.09% and the north east with 70.52%22.25% of the population were identified as having no religion, this was lower than both England with 24.74% and the north east with 23.40%.6.16% of the population did not state their religion, this was lower than England with 7.18%, but higher than the north east with 6.08%.63.23% of the population were identified as Christian, this was higher than England with 59.38% but lower than the north east with 67.52%.7.05% of the population were identified as Muslim, this was higher than both England with 5.02% and the north east with 1.80%. Middlesbrough has the highest Muslim population in the north east and the Tees Valley.The remaining proportion of the population were identified as Buddhist, Hindu, Jewish, Sikh and ‘Other religion’ each accounting for less than 1% of the population. This trend is seen in the England and north east averages.

Abstract

The third wave of the Asian Barometer survey (ABS) conducted in 2010 and the database contains nine countries and regions in East Asia - the Philippines, Taiwan, Thailand, Mongolia, Singapore, Vietnam, Indonesia, Malaysia and South Korea. The ABS is an applied research program on public opinion on political values, democracy, and governance around the region. The regional network encompasses research teams from 13 East Asian political systems and 5 South Asian countries. Together, this regional survey network covers virtually all major political systems in the region, systems that have experienced different trajectories of regime evolution and are currently at different stages of political transition.

The mission and task of each national research team are to administer survey instruments to compile the required micro-level data under a common research framework and research methodology to ensure that the data is reliable and comparable on the issues of citizens' attitudes and values toward politics, power, reform, and democracy in Asia.

The Asian Barometer Survey is headquartered in Taipei and co-hosted by the Institute of Political Science, Academia Sinica and The Institute for the Advanced Studies of Humanities and Social Sciences, National Taiwan University.

Geographic coverage

13 East Asian political systems: Japan, Mongolia, South Koreas, Taiwan, Hong Kong, China, the Philippines, Thailand, Vietnam, Cambodia, Singapore, Indonesia, and Malaysia; 5 South Asian countries: India, Pakistan, Bangladesh, Sri Lanka, and Nepal

Analysis unit

-Individuals

Kind of data

Sample survey data [ssd]

Sampling procedure

Compared with surveys carried out within a single nation, cross-nation survey involves an extra layer of difficulty and complexity in terms of survey management, research design, and database modeling for the purpose of data preservation and easy analysis. To facilitate the progress of the Asian Barometer Surveys, the survey methodology and database subproject is formed as an important protocol specifically aiming at overseeing and coordinating survey research designs, database modeling, and data release.

As a network of Global Barometer Surveys, Asian Barometer Survey requires all country teams to comply with the research protocols which Global Barometer network has developed, tested, and proved practical methods for conducting comparative survey research on public attitudes.

Research Protocols:

• National probability samples that give every citizen in each country an equal chance of being selected for interview. Whether using census household lists or a multistage area approach, the method for selecting sampling units is always randomized. The samples may be stratified, or weights applied, to ensure coverage of rural areas and minority populations in their correct proportions. As such, Asian Barometer samples represent the adult, voting-age population in each country surveyed.

A model Asian Barometer Survey has a sample size of 1,200 respondents, which allows a minimum confidence interval of plus or minus 3 percent at 95 percent probability.

Mode of data collection

Face-to-face [f2f]

Research instrument

A standard questionnaire instrument containing a core module of identical or functionally equivalent questions. Wherever possible, theoretical concepts are measured with multiple items in order to enable testing for construct validity. The wording of items is determined by balancing various criteria, including: the research themes emphasized in the survey, the comprehensibility of the item to lay respondents, and the proven effectiveness of the item when tested in previous surveys.

Survey Topics: 1.Economic Evaluations: What is the economic condition of the nation and your family: now, over the last five years, and in the next five years? 2.Trust in institutions: How trustworthy are public institutions, including government branches, the media, the military, and NGOs. 3.Social Capital: Membership in private and public groups, the frequency and degree of group participation, trust in others, and influence of guanxi. 4.Political Participatio: Voting in elections, national and local, country-specific voting patterns, and active participation in the political process as well as demonstrations and strikes. Contact with government and elected officials, political organizations, NGOs and media. 5.Electoral Mobilization: Personal connections with officials, candidates, and political parties; influence on voter choice. 6.Psychological Involvement and Partisanship: Interest in political news coverage, impact of government policies on daily life, and party allegiance. 7.Traditionalism: Importance of consensus and family, role of the elderly, face, and woman in theworkplace. 8.Democratic Legitimacy and Preference for Democracy: Democratic ranking of present and previous regime, and expected ranking in the next five years; satisfaction with how democracy works, suitability of democracy; comparisons between current and previous regimes, especially corruption; democracy and economic development, political competition, national unity, social problems, military government, and technocracy. 9.Efficacy, Citizen Empowerment, System Responsiveness: Accessibility of political system: does a political elite prevent access and reduce the ability of people to influence the government. 10.Democratic vs. Authoritarian Values: Level of education and political equality, government leadership and superiority, separation of executive and judiciary. 11.Cleavage: Ownership of state-owned enterprises, national authority over local decisions, cultural insulation, community and the individual. 12.Belief in Procedural Norms of Democracy: Respect of procedures by political leaders: compromise, tolerance of opposing and minority views. 13.Social-Economic Background Variables: Gender, age, marital status, education level, years of formal education, religion and religiosity, household, income, language and ethnicity. 14.Interview Record: Gender, age, class, and language of the interviewer, people present at the interview; did the respondent: refuse, display impatience, and cooperate; the language or dialect spoken in interview, and was an interpreter present.

Cleaning operations

Quality checks are enforced at every stage of data conversion to ensure that information from paper returns is edited, coded, and entered correctly for purposes of computer analysis. Machine readable data are generated by trained data entry operators and a minimum of 20 percent of the data is entered twice by independent teams for purposes of cross-checking. Data cleaning involves checks for illegal and logically inconsistent values.

BackgroundTuberculosis (TB) case notification rates are usually higher in men than in women, but notification data are insufficient to measure sex differences in disease burden. This review set out to systematically investigate whether sex ratios in case notifications reflect differences in disease prevalence and to identify gaps in access to and/or utilisation of diagnostic services.Methods and FindingsIn accordance with the published protocol (CRD42015022163), TB prevalence surveys in nationally representative and sub-national adult populations (age ≥ 15 y) in low- and middle-income countries published between 1 January 1993 and 15 March 2016 were identified through searches of PubMed, Embase, Global Health, and the Cochrane Database of Systematic Reviews; review of abstracts; and correspondence with the World Health Organization. Random-effects meta-analyses examined male-to-female (M:F) ratios in TB prevalence and prevalence-to-notification (P:N) ratios for smear-positive TB. Meta-regression was done to identify factors associated with higher M:F ratios in prevalence and higher P:N ratios. Eighty-three publications describing 88 surveys with over 3.1 million participants in 28 countries were identified (36 surveys in Africa, three in the Americas, four in the Eastern Mediterranean, 28 in South-East Asia and 17 in the Western Pacific). Fifty-six surveys reported in 53 publications were included in quantitative analyses. Overall random-effects weighted M:F prevalence ratios were 2.21 (95% CI 1.92–2.54; 56 surveys) for bacteriologically positive TB and 2.51 (95% CI 2.07–3.04; 40 surveys) for smear-positive TB. M:F prevalence ratios were highest in South-East Asia and in surveys that did not require self-report of signs/symptoms in initial screening procedures. The summary random-effects weighted M:F ratio for P:N ratios was 1.55 (95% CI 1.25–1.91; 34 surveys). We intended to stratify the analyses by age, HIV status, and rural or urban setting; however, few studies reported such data.ConclusionsTB prevalence is significantly higher among men than women in low- and middle-income countries, with strong evidence that men are disadvantaged in seeking and/or accessing TB care in many settings. Global strategies and national TB programmes should recognise men as an underserved high-risk group and improve men’s access to diagnostic and screening services to reduce the overall burden of TB more effectively and ensure gender equity in TB care.

BackgroundThis study describes the global epidemiology and trends associated with neck pain. Global Burden of Disease data collected between 1990 and 2019 were used to determine the global burden of neck pain in the general populations of 204 countries.MethodsGlobal, regional, and national burdens of neck pain determined by prevalence, incidence, and years lived with a disability (YLD) from 1990 to 2019 were comprehensively analyzed according to age, gender, and socio-demographic index using the Global Burden of Disease Study 1990 and 2019 data provided by the Institute for Health Metrics and Evaluation.ResultsGlobally, in 2019, the age-standardized rates for prevalence, incidence, and YLD of neck pain per 100,000 population was 2,696.5 (95% uncertainty interval [UI], 2,177.0 to 3,375.2), 579.1 (95% UI, 457.9 to 729.6), and 267.4 (95% UI, 175.5 to 383.5) per 100,000 population, respectively. Overall, there was no significant difference in prevalence, incidence, or YLD of neck pain between 1990 and 2019. The highest age-standardized YLD of neck pain per 100,000 population in 2019 was observed in high-income North America (479.1, 95% UI 323.0 to 677.6), Southeast Asia (416.1, 95% UI 273.7 to 596.5), and East Asia (356.4, 95% UI 233.2 to 513.2). High-income North America (17.0, 95% UI 9.0 to 25.4%) had the largest increases in YLD of neck pain per 100,000 population from 1990 to 2019. At the national level, the highest age-standardized YLD of neck pain was found in the Philippines (530.1, 95% UI 350.6 to 764.8) and the highest change age-standardized YLD between 1990 and 2019 was found in the United States (18.4, 95% UI 9.9 to 27.6%). Overall, the global burden of neck pain increased with age until the age of 70–74 years, and was higher in women than men. In general, positive associations between socio-demographic index and burden of neck pain were found.ConclusionsBecause neck pain is a major public health burden with a high prevalence, incidence, and YLD worldwide, it is important to update its epidemiological data and trends to cope with the future burden of neck pain.

IntroductionAlcohol use disorder is a medical condition characterized by an impaired ability to control or stop alcohol use despite adverse health outcomes. Despite several studies that have analyzed the prevalence and determinants, their results have been equivocal, and the reasons for the differences in prevalence rates and determinants of AUD across nationalities are unknown. Hence, this study estimated the pooled prevalence of alcohol use disorder and its determinant among adults in East Asian countries.MethodsArticles were searched from PubMed, Web of Science, EMBASE, PsycINFO, and Scopus. All observational study designs that fulfilled the predefined criteria were included in the study. The findings were reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). The quality and heterogeneity of articles were assessed using the new castle-Ottawa scale (NOS) and I2, respectively. Additionally, publication bias was checked through funnel plot and Egger's regression test.ResultsA total of 14 articles with 93, 161 study participants were considered in the study. Of which 9 studies were included in the meta-analysis of the 1-year prevalence of alcohol use disorder, 6 in the lifetime, 9 in alcohol abuse, and 8 in alcohol dependency. Consequently, the overall pooled prevalence of one-year alcohol use disorder was 8.88% (95% CI: 6.32, 11.44), lifetime 13.41% (95%CI: 8.48, 18.34), alcohol abuse 5.4% (95% CI: 2.66, 8.13), and alcohol dependency 4.47% (95% CI: 2.66, 6.27). In the subgroup analysis by country, the highest 1-year and lifetime pooled prevalence of alcohol use disorder was observed in Korea at 9.78% (95% CI:4.40, 15.15) and 16.73% (95% CI: 15.31, 18.16), respectively. Besides, smoking (OR: 3.99; 95% CI: 1.65, 6.33) and male gender (OR: 5.9; 95% CI: 3.3, 8.51) were significant determinants of alcohol use disorder.ConclusionsThe magnitude of alcohol use disorder was high among adults in East Asian countries. Smoking and male gender were the key determinants of alcohol use disorders.

Number, percentage and rate (per 100,000 population) of homicide victims, by racialized identity group (total, by racialized identity group; racialized identity group; South Asian; Chinese; Black; Filipino; Arab; Latin American; Southeast Asian; West Asian; Korean; Japanese; other racialized identity group; multiple racialized identity; racialized identity, but racialized identity group is unknown; rest of the population; unknown racialized identity group), gender (all genders; male; female; gender unknown) and region (Canada; Atlantic region; Quebec; Ontario; Prairies region; British Columbia; territories), 2019 to 2023.

Abstract

The 2009 Samoa Demographic and Health Survey (SDHS) is a national survey covering all four regions of the country. The survey was designed to collect, analyze, and disseminate information on housing and household characteristics, education, maternal and child health, nutrition, fertility and family planning, gender, and knowledge and behaviour related to HIV/AIDS and sexually transmitted infections (STI).

The 2009 SDHS is the first DHS survey to be undertaken in Samoa both by the health sector and for an improved health system. The planning and implementation of the survey was carried out jointly by the Samoa Bureau of Statistics (SBS) and the Ministry of Health (MOH) with the technical assistance and guidance of ICF Macro. The Ministry of Women, Community and Social Development assisted by facilitating community support for the survey through villages and mayors.

The Samoa DHS is part of a worldwide survey program. The international MEASURE DHS program is designed to:

• Assist countries in conducting household sample surveys to periodically monitor changes in population, health, and nutrition. • Provide an international database that can be used by researchers investigating topics related to population, health, and nutrition.

As part of the international DHS program, surveys are being carried out in countries in Africa, Latin America and the Caribbean, Asia, Eastern Europe and the Middle East. Data from these surveys are used to better understand the population, health, and nutrition situation in Samoa.

Geographic coverage

National Regional Urban and Rural

Analysis unit

individual (woman aged 15-49, man aged 15-54), household

Universe

The survey covered all de jure household members (usual residents), all women aged 15-49 and men aged 15-54 years

Kind of data

Sample survey data [ssd]

Sampling procedure

The Survey used a two-stage sample based on the 2006 Population and Housing Census (PHC) to allow reliable estimation of key demographic and health indicators such as fertility, contraceptive prevalence, and infant and child mortality for each of the four geographic regions in Samoa.

The population covered in the 2009 SDHS is the universe of all women age 15-49 in Samoa in a sample of 2,247 selected households. Every other household selected for the women's samplev was also eligible for the men's sample (men age 15-54).

The primary sampling unit (PSU) for the 2009 SDHS was the cluster. The first stage involved selecting clusters from the master sample frame (the 2006 Population and Housing Census). In the second stage, all the households in each selected cluster were listed. Households were then systematically selected from each cluster for participation in the survey. The design did not allow for replacement of clusters or households.

The sample was designed to include10 percent of the households in rural areas and 12 percent of the households in the urban areas. The sample was designed to permit detailed analysis of most indicators for the national level, for urban and rural areas separately, and for each of the four regions (Apia Urban Area, North West Upolu, Rest of Upolu, and Savaii). Overall, a total of 296 primary sampling units or clusters were selected, 104 in urban areas and 196 in the rural areas. Because Samoan household do not move frequently, a fresh household listing was not deemed to be necessary. Instead, a list from the November was used. In the urban clusters, 5 households were selected per cluster, whereas in the rural clusters, 10 households were selected per cluster. The number of clusters in each of the four geographical regions was calculated by diving the total allocated number of households by the sample taken of 5 for Apia Urban Area (the number of households of households in the urban EAs) and 10 for other regions (the number of households for rural EAs). In each region EAs were stratified by urban location first and then by rural location. Clusters were selected systematically, with propability proportional to size.

Mode of data collection

Face-to-face [f2f]

Research instrument

Three questionnaires were used in the SDHS: a Household Questionnaire, a Women's Questionnaire, and a Men's Questionnaire. The household and individual questionnaires were based on model survey instruments developed in the MEASURE DHS program. The model questionnaires were adapted to meet the current needs of Samoa. Each household selected for the SDHS was eligible for interview with the Household Questionnaire.

The Household Questionnaire was used to list all usual members of and visitors to the selected households and to collect information on the socio-economic status of the household. It was also used to identify the women and men who were eligible for the individual interview (i.e., women age 15-49 and men age 15-54).

The Women's Questionnaire was used to collect information from all women age 15-49 years and covered the following topics: - background characteristics (education, residential history, media exposure, etc.) - birth history - antenatal, delivery, and postnatal care - knowledge, attitudes, and use of family planning methods - fertility preferences; marriage, woman's work, and husband's background characteristics - breastfeeding and infant feeding practices; vaccinations and childhood illnesses - childhood mortality - knowledge of and attitudes toward aids and other sexually transmitted diseases - knowledge of and attitudes toward tuberculosis - other health issues.

The Men's Questionnaire, administered to all men age 15-54 years living in every other Household (i.e. half of the sample households), collected information similar to that on the Women's Questionnaire but was shorter because it did not contain questions on reproductive history, maternal and child health, and nutrition.

After finalization of the questionnaires in English, they were translated into Samoan.

Cleaning operations

The processing of the SDHS results began shortly after the fieldwork started. Data editing was first done in the field by the field editors and supervisors. Completed and edited questionnaires for each cluster were packed and delivered to the SDHS centre at Motootua where they were entered and edited by data processing personnel. The data processing team was composed of 15 data entry operators, 1 data entry supervisor with 2 assistants and 7 office editors working in two shifts. Data operators and supervisors went through a one-week training programme with the technical assistance of ICF Macro. Data were entered using CSPro, a programme specially developed for use in household based surveys and censuses. All data were entered twice (100 percent verification). The concurrent processing of the data was an advantage because the survey technical staff were able to advise field teams of problems detected during the data entry using tables generated to check various data quality parameters. As a result, specific feedback was given to the teams to improve their performances. The data entry and editing phase of the survey was completed in February 2010.

Response rate

The Samoa DHS 2009 selected 2,247 households for the sample, of which 2,066 were found occupied at the time of the fieldwork. Of these 1947 households were successfully interviewed yielding a household response rate of 94 percent.

In the households interviewed, a total of 3,033 eligible women aged 15-49 were identified, of whom 2657 were interviewed (respond rate of 88 percent). For eligible men aged 15-54 were identified in the sub-sample a total of 1,689 but only 1,307 were successfully interviewed (respond rate of 77 percent).

By area, response rates for households and women are slightly lower in urban (82 and 86 percent, respectively) than in rural areas (95 and 86 percent, respectively). For men on the other hand, response rate is higher in urban areas, 81 percent, than in rural areas, 76 percent.

The principal reason for non-response for eligible women and men was the failure to find them at home despite repeated visits to the households. The substantially lower response rates for men reflect the more frequent and longer absences of men from the home.

Response rates by region and the details on the calculation of the response rates can be found in Appendix A of the 2009 SDHS report.

Sampling error estimates

Sampling errors for the 2009 SDHS were calculated using a Macro SAS procedure. This procedure used the Taylor linearization method of variance estimation for survey estimates that are means or proportions. The Jackknife repeated replication method is used for variance estimation of more complex statistics, such as fertility and mortality rates.

Sampling errors for the 2009 SDHS are calculated for selected variables considered to be of primary interest. The results are presented in Appendix B of the 2009 SDHS report for the country as a whole, for urban and rural areas, and for the four geographical regions. Standard errors, design effect, relative standard errors and 95 percent confidence limits for each statistic of a variable are presented in the tables of the Appendix. Details on sampling error calculation are also provided.

In summary, for the total sample, the value of the DEFT, averaged over all variables, is 1.05. This means that, due to multi-stage clustering of the sample, the average standard error is increased by a factor of 1.05 over that in an equivalent simple random sample.

Data appraisal

Data quality tables and were generated to assess the quality and reliability of the 2009 SDHS data.

Socio-demographic, maternal, and community level related characteristics of women’s accessing healthcare among women in LMICs (weighted n = 1,718,793).

Individual and community-level factors associated with women’s accessing healthcare among women in LMICs.