7 datasets found
  1. Distribution of the population in Ghana 2021, by ethnic group

    • statista.com
    Updated Jan 20, 2023
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    Statista (2023). Distribution of the population in Ghana 2021, by ethnic group [Dataset]. https://www.statista.com/statistics/1285431/share-of-ethnic-groups-in-ghana/
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    Dataset updated
    Jan 20, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2021
    Area covered
    Ghana
    Description

    As of 2021, Akan was the largest ethnic group in Ghana, accounting for 45.7 percent of the country's population. Simultaneously, Akan, as a language, was the most widely spoken in Ghana. Mole-Dagbani and Ewe covered 18.5 percent and 12.8 percent of the groups of ethnicity, respectively. Other ethnic groups include Ga-Dangme, Gurma, Guan, and Grusi.

  2. Living Standards Survey I 1987-1988 - Ghana

    • microdata.worldbank.org
    • catalog.ihsn.org
    • +1more
    Updated Jan 30, 2020
    + more versions
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    Ghana Statistical Service (GSS) (2020). Living Standards Survey I 1987-1988 - Ghana [Dataset]. https://microdata.worldbank.org/index.php/catalog/2313
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    Dataset updated
    Jan 30, 2020
    Dataset provided by
    Ghana Statistical Services
    Authors
    Ghana Statistical Service (GSS)
    Time period covered
    1987 - 1988
    Area covered
    Ghana
    Description

    Abstract

    The Ghana Living Standards Survey (GLSS) is a nationwide survey carried out by the Government of Ghana (Ghana Statistical Service) with the support of the World Bank (Social Dimensions of Adjustment Project Unit). The objective of the survey is to provide data to the government for measuring the living standards of the population and the progress made in raising them. The survey data will permit a more effective formulation and implementation of policies designed to improve the welfare of the population.

    The GLSS was launched in September 1987 and is currently planned to be undertaken over a five-year period. The five interval ensures that a steady stream of data becomes available to monitor the impact of the Government's Economic Recovery Program, including the Program of Actions to Mitigate the Social Costs of Adjustment (PAMSCAD). GLSS provides data on various aspects of the Ghanaian household economic and social activities and the interactions between these activities. Data are collected at three levels: the individual level, the household level and community level. The household questionnaire was administered to 1525 households over a six month period from september 1987 to march 1988.

    Geographic coverage

    National

    Analysis unit

    • Household
    • Individual
    • Community
    • Commodity

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    The methodology that was used reflects the purpose of the survey. To balance the desire for a large, representative sample with the expense of a long, detailed survey instrument, a sample size of 3,200 households was selected. The households were to be chosen in such a manner that each household had an equal probability of being selected. At the same time, the logistics of locating the households and conducting all interviews within a specific time frame required that the households be grouped into "workloads" of 16 households each. A final concern was that all three of the country's ecological zones (coastal, forest and savannah), and each of urban, semi-urban and rural areas (population greater than 5000, 1500 to 5000, and less than 1500, respectively) form the same proportion in the sample as they do in the national population.

    To achieve the three objectives simultaneously, a stratified selection process was used. For the 1984 Census, all of Ghana was divided into approximately 13,000 enumeration areas (EAs). From this list it was determined what proportion of the 200 GLSS workloads should be selected from each of the nine zone/urban categories. Two hundred sampling areas were then selected from the enumeration areas in the sub-divided list. For each enumeration area, the probability of being selected was proportional to the number of households contained in that area.

    After the 200 sampling areas were selected, households in those areas were enumerated in 1987. Therefore it was possible to take into account changes in the number of households and preserve the self-weighting nature of the sample. The 200 workloads were assigned among the 200 sampling areas with probability equal to the number of households in that area in 1987 divided by the number of households in that area in 1984 and multiplied by the total number of households in 1984 divided by the total number of households in 1987. That is, sampling areas that had greater than average increases in size had a greater than one chance of being selected. Thus, each sampling area was assigned zero, one, two, or even three workloads of sixteen households. The households (sixteen selected and four replacement for each workload) were then chosen randomly from the household list for each sampling area. The resulting list is 3200 households and 800 replacement households in something less than 200 sampling areas (specifically 178 in 1987-88 and 170 in 1988-89). Each group of 16, 32 or 48 households within a sampling area is referred to as a cluster in the GLSS data sets and in this document.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    • The household survey contains modules (sections) to collect data on household demographic structure, housing conditions, schooling, health, employment, migration, expenditure and income, household non-agricultural businesses, agricultural activities, fertility and contraceptive use, savings and credit, and anthropometric (height and weight) measures.

    • The community questionnaire collected data on the population of the community, a list of principal ethnic groups and religions, the length of time the community has existed and whether or not it has grown, principal economic activities, access to a motorable road, electricity, pipe-borne water, restaurant or food stall, post office, bank, daily market and public transport, employment, migration for jobs, existence of community development projects, schools and how far from the community, information is obtained on whether it is public or private, data on distance and travel time to the nearest of each of several types of health post, dispensary, pharmacy, maternity home, family planning clinic, type of crops grown in the community, how often and when they are planted and harvested, and how the harvest is generally sold.

    • Price questionnaire collected information on prices from up to three vendors i.e. food, pharmaceutical and other non-food items.

    Cleaning operations

    The quality control of the data collection occured at three instances. First, on the field, the supervisor randormly visited 25% of the households already surveyed to verify the answers to some key questions. In addition the supervisor periodically attended interviews conducted by each interviewer. Second, in the regional office, the data entry computer package used performed consistency checks, so that inconsistencies and errors in data collected during the first round were immediately reported to the interviewers for verification during the second round. Finally, daily supervisory checks of the data entry process were performed.

  3. d

    Growing Infrastructure and Prosperity of Ghana

    • search.dataone.org
    • dataverse.harvard.edu
    Updated Nov 8, 2023
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    Dr. David Render PhD (2023). Growing Infrastructure and Prosperity of Ghana [Dataset]. http://doi.org/10.7910/DVN/A6UHGN
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    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Dr. David Render PhD
    Area covered
    Ghana
    Description

    Growing Infrastructure and Prosperity of Ghana The derivation of the name Ghana signifies "Strong Warrior King" and was the title concurred to the rulers of the middle age "Ghana" Empire in West Africa — in no way related to the present Ghana, for the realm was further north, in current Republic of Mali, Senegal and southern Mauritania, as well as in the district of Guinea. Ghana is a multi-ethnic country with a different populace, semantic and strict groups; while the Akan are the biggest ethnic gathering, they comprise just a majority. Most of Ghanaians are Christian (71.3%), with near a fifth being Muslim and a 10th rehearsing conventional beliefs or detailing no religion. Ghana is a unitary established vote based system drove a both by a president head of state and head of government. Beginning around 1993, it has kept one of the freest and most stable legislatures on the landmass, and performs generally well in measurements of medical care, financial development, and human turn of events. Ghana thus appreciates critical impact in West Africa, and is profoundly coordinated in foreign relations, being an individual from the Non-Aligned Movement, the African Union, the Economic Community of West African States (ECOWAS), the Group of 24 and the Commonwealth of Nations

  4. Afrobarometer Survey 2020 - Zambia

    • microdata.worldbank.org
    • catalog.ihsn.org
    Updated Apr 20, 2023
    + more versions
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    Institute for Empirical Research in Political Economy (IREEP) (2023). Afrobarometer Survey 2020 - Zambia [Dataset]. https://microdata.worldbank.org/index.php/catalog/5823
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    Dataset updated
    Apr 20, 2023
    Dataset provided by
    Institute for Justice and Reconciliationhttp://www.ijr.org.za/
    Ghana Centre for Democratic Development (CDD)
    Michigan State University (MSU)
    Institute for Empirical Research in Political Economy (IREEP)
    University of Cape Town (UCT, South Africa)
    Institute for Development Studies (IDS)
    Time period covered
    2020
    Area covered
    Zambia
    Description

    Abstract

    The Afrobarometer is a comparative series of public attitude surveys that assess African citizen's attitudes to democracy and governance, markets, and civil society, among other topics. The surveys have been undertaken at periodic intervals since 1999. The Afrobarometer's coverage has increased over time. Round 1 (1999-2001) initially covered 7 countries and was later extended to 12 countries. Round 2 (2002-2004) surveyed citizens in 16 countries. Round 3 (2005-2006) 18 countries, Round 4 (2008) 20 countries, Round 5 (2011-2013) 34 countries, Round 6 (2014-2015) 36 countries, and Round 7 (2016-2018) 34 countries. The survey covered 34 countries in Round 8 (2019-2021).

    Geographic coverage

    National coverage

    Analysis unit

    Individual

    Universe

    Citizens of Zambia who are 18 years and older

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    Afrobarometer uses national probability samples designed to meet the following criteria. Samples are designed to generate a sample that is a representative cross-section of all citizens of voting age in a given country. The goal is to give every adult citizen an equal and known chance of being selected for an interview. They achieve this by:

    • using random selection methods at every stage of sampling; • sampling at all stages with probability proportionate to population size wherever possible to ensure that larger (i.e., more populated) geographic units have a proportionally greater probability of being chosen into the sample.

    The sampling universe normally includes all citizens age 18 and older. As a standard practice, we exclude people living in institutionalized settings, such as students in dormitories, patients in hospitals, and persons in prisons or nursing homes. Occasionally, we must also exclude people living in areas determined to be inaccessible due to conflict or insecurity. Any such exclusion is noted in the technical information report (TIR) that accompanies each data set.

    Sample size and design Samples usually include either 1,200 or 2,400 cases. A randomly selected sample of n=1200 cases allows inferences to national adult populations with a margin of sampling error of no more than +/-2.8% with a confidence level of 95 percent. With a sample size of n=2400, the margin of error decreases to +/-2.0% at 95 percent confidence level.

    The sample design is a clustered, stratified, multi-stage, area probability sample. Specifically, we first stratify the sample according to the main sub-national unit of government (state, province, region, etc.) and by urban or rural location.

    Area stratification reduces the likelihood that distinctive ethnic or language groups are left out of the sample. Afrobarometer occasionally purposely oversamples certain populations that are politically significant within a country to ensure that the size of the sub-sample is large enough to be analysed. Any oversamples is noted in the TIR.

    Sample stages Samples are drawn in either four or five stages:

    Stage 1: In rural areas only, the first stage is to draw secondary sampling units (SSUs). SSUs are not used in urban areas, and in some countries they are not used in rural areas. See the TIR that accompanies each data set for specific details on the sample in any given country. Stage 2: We randomly select primary sampling units (PSU). Stage 3: We then randomly select sampling start points. Stage 4: Interviewers then randomly select households. Stage 5: Within the household, the interviewer randomly selects an individual respondent. Each interviewer alternates in each household between interviewing a man and interviewing a woman to ensure gender balance in the sample.

    To keep the costs and logistics of fieldwork within manageable limits, eight interviews are clustered within each selected PSU.

    Zambia - Sample size: 1,200 - Sampling Frame: 2020 population projections based on the 2016 Bureau of Statistics Population Census - Sample design: Nationally representative, random, clustered, stratified, multi-stage area probability sample - Stratification: District and urban/peri-urban/rural location - Stages: PSUs (from strata), start points, households, respondents - PSU selection: Probability Proportionate to Population Size (PPPS) - Cluster size: 8 households per PSU - Household selection: Randomly selected start points, followed by walk pattern using 5/10 interval - Respondent selection: Gender quota filled by alternating interviews between men and women; respondents of appropriate gender listed, after which computer randomly selects individual

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    The Round 8 questionnaire has been developed by the Questionnaire Committee after reviewing the findings and feedback obtained in previous Rounds, and securing input on preferred new topics from a host of donors, analysts, and users of the data.

    The questionnaire consists of three parts: 1. Part 1 captures the steps for selecting households and respondents, and includes the introduction to the respondent and (pp.1-4). This section should be filled in by the Fieldworker. 2. Part 2 covers the core attitudinal and demographic questions that are asked by the Fieldworker and answered by the Respondent (Q1 – Q100). 3. Part 3 includes contextual questions about the setting and atmosphere of the interview, and collects information on the Fieldworker. This section is completed by the Fieldworker (Q101 – Q123).

    Response rate

    Outcome rates: - Contact rate: 93% - Cooperation rate: 74% - Refusal rate: 9% - Response rate: 69%

    Sampling error estimates

    The sample size yields country-level results with a margin of error of +/-3 percentage points at a 95% confidence level.

  5. Ghana Child Labour Survey - 2001 - Ghana

    • microdata.statsghana.gov.gh
    Updated Mar 14, 2016
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    Ghana Statistical Service (2016). Ghana Child Labour Survey - 2001 - Ghana [Dataset]. https://microdata.statsghana.gov.gh/index.php/catalog/10
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    Dataset updated
    Mar 14, 2016
    Dataset provided by
    Ghana Statistical Services
    Authors
    Ghana Statistical Service
    Time period covered
    2001
    Area covered
    Ghana
    Description

    Abstract

    The Ghana Child Labour Survey (GCLS) field data collection took place in January-February 2001, after two months of preparatory activities that included a pretest of instruments and methodology.

    Socio-Demographic Characteristics of Household Population

    The 9889 households interviewed contained 47,955 persons, with a sex ratio of 96.7. About one-fifth of the population is made up of household heads, while children constitute about a half (49.7%); children aged 5-17, in comparison, make up 35.5 percent of the population. The rural areas make up 60.3 percent of the population. Information collected on school attendance shows that nearly the same proportion of the sample population had never attended school (30.8%), as were those currently in school (34.4%) or had attended school in the past (34.8%). Marked disparities existed in school attendance at the regional level, with over 60 percent of the sample population in the three northern regions having never gone to school.

    The economically active persons constituted 57.5 percent of the sample, the majority of whom were in agriculture/forestry/fishing (51.1%), followed by sales workers (16.9%). The pattern applied to all regions, except Greater Accra where sales workers predominated. Majority of the economically active population were self-employed, own account workers (54.7%), followed by unpaid family workers (29.8%). Over 90 percent of population worked in the informal sector.

    Households in the country derive much of their income from self-employment in agricultural activities (49.1%); self-employment in non-agricultural activities accounts for 28.0 percent, while regular wage employment makes up 14.0 percent. With the exception of Greater Accra, agriculture is the major source of income for households in all the regions.

    Socio-Demographic Characteristics of Children aged 5-17

    The number of children aged 5-17 is estimated by the survey to be about 6.4 million (6,361,111). Children aged 5-9 years constitute 41.8 percent (2,657,258); the 10-14 age group is 39.5 percent (2,515,463) while the 15-17 age group is 18.7 percent (1,188,390). Males constitute 52.9 percent of the 5-17 age group; indeed, there are more boys than girls in each of the three age groups. Most of the children live in rural areas (62.3%).

    Ashanti Region has the largest share (15.5%) of the children, followed by Northern (14.0%) and Greater Accra (11.7%). Variations in regional distribution of children (5-17) from the 2000 census are attributable mainly to differences in the average household sizes for the various regions. The predominant ethnic groups of the children are Akans (44.3%) and Mole-Dagbani (18.7%).

    Over three quarters (76.5%) of the children are attending school, while 17.6 percent have never attended school. With the exception of the three northern regions, more than 80 percent of the children in all the other regions are attending school. Nearly half (46.5%) of the children in the Northern Region have never attended school. Slightly higher proportion of males in all regions are attending school, compared with females.

    The three major reasons for children never attending school are affordability (44.2%), distance from school (18.4%) and lack of interest in schooling (17.1%). These reasons apply to both males and females.

    The highest level of schooling attained by majority of the children is primary (56.1%), which is what is expected of the age group. The survey shows that only 2.0 percent of the children are receiving training, with males being in fitting/mechanics and carpentry and females in dress making, catering/bakery and hairdressing. About 20 percent of the children are neither schooling nor receiving any training.

    Background information on parents indicates that neither death nor divorce/ separation of parents are significant factors for child labour. Virtually all the children (99.7%) reported that both parents were working. Majority of the parents were self-employed.

    Activities of Children

    Economic Activity

    Information collected indicates that 2,474,545 children were engaged in usual economic activity, which is about 2 in every 5 children aged 5-17 years. Half of the rural children and about one fifth of the urban children were in economic activity. About 40 percent of working children (39.8%) worked for more than 6 months. More than a half of the children in Greater Accra, Central and Eastern regions worked for more than 6 months out of the year.

    Estimates indicate that 1,590,765 children were attending school while working, which is 64.3 percent of children engaged in usual economic activity.

    With respect to current economic activity, 31.3 percent (or 1,984,107) of the children aged 5-17 years were estimated to engage in economic activity during the 7 days preceding the interview; the proportion increased with age. A higher proportion of children in rural areas (39.7%) are more likely to engage in economic activity than urban children (17.6%).

    About two-thirds of the children (68.7%) did no work; 80.5 percent of these were full-time students. Over 90 percent of children in urban areas did no work because they were attending school, compared to 71.7 percent in rural areas.

    Nature and Conditions of Work

    About 57 percent (1,128,072) of the working children were engaged in agriculture/forestry/fishing, while 21 percent worked as hawkers and street vendors, selling iced water, food and other items. Eleven percent engaged in general labourer work, such as washing of cars, fetching firewood and water, pushing trucks (males), and carrying goods as porters (mainly females). It is estimated that 1,338,794 of the working children were part-time workers. About a third were in full-time and permanent employment.

    A significant proportion (88.0%) of the working children were unpaid family workers, and apprentices, while 5.9 percent were own-account workers (or self-employed). About 70 percent (68.7%) of the children worked between two and five hours a day.

    Over a third of the children (36.7%) were paid daily, while 28.5 percent were on piece rate. Over 80 percent received payment themselves.

    Most working children (60%) were satisfied with their jobs. Those who were not satisfied reported that their work was too tiring or wages and earnings were too low.

    Non-economic activity

    About 90 percent of the children engage in housekeeping activities on a regular basis. There are slight rural (92.0%) and urban (86%) and regional variations. On average, 73 percent of the children spend less than 3 hours a day on household chores. The older the child, the more time he/she spends on household chores. Only about one percent of the children spend more than 7 hours a day on household chores. Gender of the head of household does not affect children's involvement in household chores. Only about 5 percent of the children were reported by parents to have been idle, with the reason that either the child was too young to work or sick.

    Health and Safety

    According to parents, 29.4 percent of the children had suffered injuries, compared to 22.7 percent reported by the children themselves. More than half of the injuries occurred at home and were mostly cuts and wounds. About a quarter of the children who were injured at the work place worked in agriculture. The injuries, in a great number of cases (40.0%), were not serious and did not require any medical treatment, while 38.6 percent were treated and discharged.

    Parents Perception and Preferences

    According to parents of 93 percent of the children, child work is basically to contribute to the economic welfare of households; either to supplement household income (58.8%) or help in household enterprises (34.2%). Parents of 44 percent of the children reported that household living standards would fall and household enterprises could not operate in 21 percent of the cases, if the children did not work. About 30 percent of children did not need to work as household welfare would not be affected.

    If parents had the choice they would prefer their children to be either schooling or in training and to complete their education. Most of the children themselves (70.3%) also preferred to go to school or complete their education before starting work. Parents' and children's preferences were thus different from what the children were actually doing. This suggests that some policy measure could help enroll and keep more children in the classroom as expected of their age group.

    STREET CHILDREN SURVEY

    Socio-Demographic Characteristics

    Areas throughout the country, identified as sleeping places of street children, were purposely selected for the survey. A total of 2,314 street children were interviewed, out of whom 52.4 percent were females. The 15-17 age group constituted 50.1 percent of the total number. The highest proportion (56.6%) of the females was in the 10-14 age group, while that of the males (50.1%) was in the 15-17 age group. Greater Accra Region had the highest proportion (49.7%) of the street children, followed by Ashanti with 26.5 percent. Street children as a phenomenon, is virtually absent in the Upper West Region.

    The street children were predominantly of Mole-Dagbani (40.2%) and Akan (32.2%) ethnic origins. Akans formed the greater proportion (53.4%) of male street children, while Mole-Dagbon made up 63.1 percent of the females. Only about 2 percent of the street children were married, with almost all of them being females.

    School Attendance

    A sizeable proportion of the street children (45.7%) had never attended school; only 11.2 percent (258) were attending school at the time of the survey. Of the 995 children who had attended school in the past, only 15.5 percent completed school. The rest had dropped out of school for one reason or the other, the major reason being the problem of affordability (60.9%). More than half

  6. Q

    Data for: Synthesis of Findings from the Literature and a Qualitative...

    • data.qdr.syr.edu
    pdf, tsv, txt, xlsx
    Updated Apr 10, 2024
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    Jennifer Arney; Andrea M. Bertone; Jennifer Arney; Andrea M. Bertone (2024). Data for: Synthesis of Findings from the Literature and a Qualitative Research Study on the Impacts of Gender, Disability, and Ethnicity in Neglected Tropical Diseases Programs [Dataset]. http://doi.org/10.5064/F6QXN205
    Explore at:
    pdf(160319), pdf(203825), pdf(203134), xlsx(42340), pdf(142681), pdf(207496), tsv(58722), pdf(210467), txt(9849), pdf(148509), pdf(173805), pdf(158194), pdf(152367), pdf(172711), pdf(137037), pdf(167372), pdf(176077), pdf(210982), pdf(158444), pdf(160396), pdf(199970), pdf(165774), pdf(164144), pdf(132769), pdf(203287), pdf(147116), pdf(132662), pdf(146337), pdf(159298), pdf(146573), pdf(121961), pdf(174008)Available download formats
    Dataset updated
    Apr 10, 2024
    Dataset provided by
    Qualitative Data Repository
    Authors
    Jennifer Arney; Andrea M. Bertone; Jennifer Arney; Andrea M. Bertone
    License

    https://qdr.syr.edu/policies/qdr-standard-access-conditionshttps://qdr.syr.edu/policies/qdr-standard-access-conditions

    Area covered
    Ghana, Sierra Leone, Côte d'Ivoire
    Dataset funded by
    USAID
    Description

    Project OverviewThe United States Agency for International Development’s (USAID) Act to End Neglected Tropical Diseases (NTDs) | West (Act | West) program is a five-year USAID-funded cooperative agreement that seeks to eliminate or control five NTDs (lymphatic filariasis, trachoma, onchocerciasis, schistosomiasis, soil-transmitted helminths) in 11 West African countries: Benin, Burkina Faso, Cameroon, Ghana, Guinea, Ivory Coast, Mali, Niger, Senegal, Sierra Leona and Togo. The program – managed as a consortium of partners, with FHI 360 as the overall lead – supports national governments to roll out mass drug administration (MDA) campaigns to treat all eligible individuals in an affected community with drugs that both treat the disease in those who are infected, as well as protect those who aren’t from future infection. These campaigns are primarily carried out by community drug distributors (CDDs) who are trained by government health teams to raise awareness of NTDs and the drugs used to treat them, as well as ensure all eligible individuals participate in the MDA campaigns.As a way to ensure the program is equitably addressing the needs of men, women, boys and girls with NTD control and elimination activities, Act | West conducted a gender and social inclusion (GESI) analysis study in 2019 to determine how NTDs differentially impact various populations and how gender and social norms and power differentials between men and women might impact results, with a view to informing future NTD programming, integrating elements to explicitly advance gender equality and social inclusion. The GESI analysis took an intersectional approach, looking not just at how gender norms and roles impact various components of NTD programming, but also looking at ethnicity, geographic context, urban vs. rural, and disability.The objectives of the gender and social inclusion analysis were to identify the following:How neglected tropical diseases (NTDs) might differentially impact women, men, and school-aged children 6-15 years old, recognizing intersectionality such as disability, ethnicity, etc.;How gender norms, roles, and power dynamics, including social exclusion of people with disabilities, might affect the attainment of program results; andHow program activities might advance gender equality and social inclusion and promote sustainable health outcomes in the context of NTD control and elimination programming. Data Collection OverviewFor country-level data collection, we purposively selected three countries (Côte d’Ivoire, Sierra Leone, and Ghana) to be as representative as possible of the 11 West African Act to End NTDs | West program countries, including demographic data such as religious and ethnic make-up. We also selected countries based on percentage of women trained as CDDs, types of MDA present, length of NTD program implementation, and security considerations.The key informant interviews and focus group discussions totaled 477 individuals across the three study countries. Seventeen KIIs were conducted across the three countries, including with in-country Act to End NTDs | West program staff, government officials involved in NTD programming, members of international organizations involved in NTD programming, including disabled persons groups, and members of local community-based or civil society organizations involved in NTD programming.Twenty-one FGDs were conducted in each country. Each FGD consisted of 6−8 participants from each of the following groups:3 groups of community leaders (mixed male and female)6 groups of community drug distributors (CDDs) (3 females and 3 males in each country)3 groups of health providers (mixed male and female)3 groups of mothers of school aged children (6-15 years old)3 groups of fathers of school aged children (6-15 years old)3 groups of grandmothers of school-age children (6-15 years old)These participant groups were selected based on their role in decision-making and participation in both community-based and school-based MDA campaigns.Prior to fieldwork, research team members underwent training on best practices in human subject research ethics, gender analysis data collection, data entry and cleaning, and qualitative analysis prior to data collection. All individuals who participated were provided informed consent prior to the start of the interview, and written consent was obtained from all participants who were able to sign their name. Verbal consent was obtained for any participants who were not able to sign their name. The protocol for this study, data collection instruments, and consent forms were approved by FHI 360’s Protection of Human Subjects Committee and local research ethics boards in each of the three study countries (Comite National d’Ethique des Sciences de la Vie et de la Sante in Côte d’Ivoire; Ghana Health Service Ethics Review Committee on Research Involving Human Subjects in Ghana; and the Office of the Sierra Leone Ethics and Scientific Review Committee in...

  7. Share of Christian population in Africa 2024, by country

    • statista.com
    • ai-chatbox.pro
    Updated May 29, 2024
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    Statista (2024). Share of Christian population in Africa 2024, by country [Dataset]. https://www.statista.com/statistics/1239389/share-of-christian-population-in-africa-by-country/
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    Dataset updated
    May 29, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2024
    Area covered
    Africa
    Description

    Christianity is the major religion in numerous African countries. As of 2024, around 96 percent of the population of Zambia was Christian, representing the highest percentage on the continent. Seychelles and Rwanda followed with roughly 95 percent and 94 percent of the population being Christian, respectively. While these countries present the highest percentages, Christianity was also prevalent in many other African nations. For instance, in South Africa, Christianity was the religion of nearly 85 percent of the people, while the share corresponded to 71 percent in Ghana. Religious variations across Africa Christianity and Islam are the most practiced religions in Africa. Christian adherents are prevalent below the Sahara, while North Africa is predominantly Muslim. In 2020, Christians accounted for around 60 percent of the Sub-Saharan African population, followed by Muslims with a share of roughly 30 percent. In absolute terms, there were approximately 650 million Christians in the region, a number forecast to increase to over one billion by 2050. In contrast, Islam is most prevalent in North Africa, being the religion of over 90 percent of the population in Algeria, Morocco, Tunisia, and Libya. Christianity in the world As opposed to other religions, Christianity is widely spread across continents worldwide. In fact, Sub-Saharan Africa, Latin America and the Caribbean, and Europe each account for around 25 percent of the global Christian population. By comparison, Asia-Pacific and North America make up 13 percent and 12 percent of Christians worldwide, respectively. In several regions, Christians also suffer persecution on religious grounds. Somalia and Libya presented the most critical situation in Africa in 2021, reporting the strongest suppression of Christians worldwide just after North Korea and Afghanistan.

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Statista (2023). Distribution of the population in Ghana 2021, by ethnic group [Dataset]. https://www.statista.com/statistics/1285431/share-of-ethnic-groups-in-ghana/
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Distribution of the population in Ghana 2021, by ethnic group

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Dataset updated
Jan 20, 2023
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
2021
Area covered
Ghana
Description

As of 2021, Akan was the largest ethnic group in Ghana, accounting for 45.7 percent of the country's population. Simultaneously, Akan, as a language, was the most widely spoken in Ghana. Mole-Dagbani and Ewe covered 18.5 percent and 12.8 percent of the groups of ethnicity, respectively. Other ethnic groups include Ga-Dangme, Gurma, Guan, and Grusi.

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