Abstract

The population and housing census (PHC) is the unique source of reliable and comprehensive data about the size of population and also on major socio-economic & socio-demographic characteristics of the country. It provides data on geographic and administrative distribution of population and household in addition to the demographic and socio-economic characteristics of all the people in the country. Generally, it provides for comparing and projecting demographic data, social and economic characteristics, as well as household and housing conditions at all levels of the country’s administrative units and dimensions: national, regional, districts and localities. The data from the census is classified, tabulated and disseminated so that researchers, administrators, policy makers and development partners can use the information in formulating and implementing various multi-sectorial development programs at the national and community levels. Data on all key variables namely area, household, population, economic activity, literacy and education, fertility and child survival, housing conditions and sanitation are collected and available in the census data. The 2021 PHC in Ghana had an overarching goal of generating updated demographic, social and economic data, housing characteristics and dwelling conditions to support national development planning activities.

Geographic coverage

National Coverage , Region , District

Analysis unit

• Individuals
• Households
• Emigrants
• Absentee population
• Mortality
• Type of residence (households and non household)

Universe

All persons who spent census night (midnight of 27th June 2021) in Ghana

Kind of data

Census/enumeration data [cen]

Sampling procedure

This 10% sample data for the 2021 PHC is representative at the district/subdistrict level and also by the urban rural classification.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

GSS developed two categories of instruments for the 2021 PHC: the listing form and the enumeration instruments. The listing form was only one, while the enumeration instruments comprised six questionnaires, designated as PHC 1A, PHC 1B, PHC 1C, PHC 1D, PHC 1E and PHC 1F. The PHC 1A was the most comprehensive with the others being its subsets.

1. Listing Form: The listing form was developed to collect data on type of structures, level of completion, whether occupied or vacant and use(s) of the structures. It was also used to collect information about the availability, number and types of toilet facilities in the structures. It was also used to capture the number of households in a structure, number of persons in households and the sex of the persons residing in the households if occupied. Finally, the listing form was used to capture data on non-household populations such as the population in institutions, floating population and sex of the non-household populations.

2. PHC 1A: The PHC 1A questionnaire was used to collect data from all households in the country. Primarily, it was used to capture household members and visitors who spent the Census Night in the dwelling of the household, and their relationship with the head of the household. It was also used to collect data on homeless households. Members of the households who were absent were enumerated at the place where they had spent the Census Night. The questionnaire was also used to collect the following household information: emigration; socio-demographic characteristics (sex, age, place of birth and enumeration, survival status of parents, literacy and education; economic activities; difficulty in performing activities; ownership and usage of information, technology and communication facilities; fertility; mortality; housing characteristics and conditions and sanitation.

3. PHC 1B: The PHC 1B questionnaire was used to collect data from persons in stable institutions comprising boarding houses, hostels and prisons who were present on Census Night. Other information that was captured with this instrument are socio-demographic characteristics, literacy and education, economic activities, difficulty in performing activities; ownership and usage of information, technology and communication facilities; fertility; mortality; housing characteristics and conditions and sanitation.

4. PHC 1C: The PHC 1C questionnaire was used to collect data from persons in “unstable” institutions such as hospitals and prayer camps who were present at these places on Census Night. The instrument was used to capture only the socio-demographic characteristics of individuals.

5. PHC 1D: The PHC 1D questionnaire was used to collect data from the floating population. This constitutes persons who were found at airports, seaports, lorry stations and similar locations waiting for or embarking on long-distance travel, as well as outdoor sleepers on Census Night. The instrument captured the socio-demographic information of individuals.

6. PHC 1E: All persons who spent the Census Night at hotels, motels and guest houses were enumerated using the PHC 1E. The content of the questionnaire was similar to that of the PHC 1D.

7. PHC 1F: The PHC 1F questionnaire was administered to diplomats in the country.

Cleaning operations

The Census data editing was implemented at three levels: 1. data editing by enumerators and supervisors during data collection 2. data editing was done at the regional level by the regional data quality monitors during data collection 3. Final data editing was done at the national level using the batch edits in CSPro and STATA Data editing and cleaning was mainly digital.

Response rate

100 percent

Data appraisal

A post Enumeration Survey (PES) was conducted to assess the extent of coverage and content error.

Since December 2019 when COVID-19 was detected, it took the world by surprise in terms of spread and morbidity/mortality. The high rate of spread and casualties recorded from COVID-19 called for research in all directions to find ways to contain and reverse the incidences. It is against this background that this paper sought to measure the association of the socio-demographic factors in the hard-hit districts in Greater Accra and Ashanti to analyze its relationship with the novel COVID-19 virus. Data on COVID-19 cases from 35 Districts in both Greater Accra and Ashanti Regions were collected from the Ghana Health Service and population data from Ghana Statistical Service. Descriptive statistics and regression analysis were generated using R. We found that some socio-demographic variables have an association with COVID-19 infections. For example, age and religion especially Christianity and Islam pose risk to COVID-19. The population aged 15–64 was particularly at high risk of infections due to the high level of movement of this age group. We, therefore, recommend that places of congregation such as Churches and Mosques be targeted for vigorous sensitization on COVID-19 protocols and prevention. Also, districts with a high population between the ages of 15–64 should step sensitization efforts to educate their inhabitants on the need to reduce travel and related activities to curb the spread of the virus.

Abstract

The Ghana Statistical Service (GSS), in collaboration with the Ministry of Health/Ghana Health Service, conducted the 2016 Ghana Malaria Indicator Survey (MIS). The 2016 Ghana MIS was a national survey designed to obtain population-based estimates of malaria indicators to complement routine administrative data that are used to inform strategic planning and evaluation of Ghana’s malaria control programme. The survey provides information on malaria prevention, treatment, and prevalence in Ghana. More specifically, the survey collected data on the ownership and use of mosquito bednets, assessed the coverage of intermittent preventive treatment to protect pregnant women against malaria, identified practices and specific medications used to treat malaria, measured indicators of malaria knowledge and communication messages, and estimated the prevalence of malaria and anaemia among children age 6-59 months.

Geographic coverage

National coverage

Analysis unit

Household Woman Child

Universe

Household Woman 15-49 years Children 6-59 months

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample for the 2016 GMIS was designed to provide estimates of key malaria indicators for the country as a whole, for urban and rural areas separately, and for each of the 10 administrative regions in Ghana (Western, Central, Greater Accra, Volta, Eastern, Ashanti, Brong Ahafo, Northern, Upper East, and Upper West).

The sampling frame used for the 2016 GMIS is the frame of the 2010 Population and Housing Census (PHC) conducted in Ghana. The 2010 PHC frame is being maintained by GSS and updated periodically as new information is received from various surveys. The frame is a complete list of all census enumeration areas (EAs) created for the PHC. An EA is a geographic area that covers an average of 145 households. The EA size is the number of residential households in the EA according to the 2010 PHC. The average size of urban EAs is slightly larger than the average size of rural EAs; the urban EA average size is 185 households compared with an average size of 114 households in rural EAs. The sampling frame contains information about the EAs location, type of residence (urban or rural), and the estimated number of residential households.

The 2016 GMIS sample was stratified and selected from the sampling frame in two stages. Each region was separated into urban and rural areas; this yielded 20 sampling strata. Samples of EAs were selected independently in each stratum in two stages. Implicit stratification and proportional allocation were achieved at each of the lower administrative levels by sorting the sampling frame within each sampling achieved at each of the lower administrative levels by sorting the sampling frame within each sampling stratum before the sample selection, according to administrative units in different levels, and by using a probability proportional to size selection at the first stage of sampling.

In the first stage, 200 EAs, including 93 EAs in urban areas and 107 EAs in rural areas, were selected with probability proportional to the EA size and with independent selection in each sampling stratum. A household listing operation was implemented from July to August 2016 in all the selected EAs, and the resulting lists of households then served as a sampling frame for the selection of households in the second stage. Some of the selected EAs were very large. To minimise the task of household listing, each large EA selected for the 2016 GMIS was segmented. Only one segment was selected for the survey with the probability proportional to the segment size. Household listing was conducted only in the selected segment. Thus, in the 2016 GMIS, a cluster is either an EA or a segment of an EA. As part of the listing,the field teams updated the necessary maps and recorded the geographic coordinates of each cluster. The listing was conducted by 10 teams that included a supervisor or mapper, 3 listers, and a driver.

In the second stage of selection, a fixed number of 30 households was selected from each cluster to make up a total sample size of 6,000 households. Replacement of non-responding households was not allowed. Due to the non-proportional allocation of the sample to the different regions and the possible differences in response rates, sampling weights are required for any analysis that uses the 2016 GMIS data. This ensures the actual representation of the survey results at the national and regional levels. Results shown in this report have been weighted to account for the complex sample design.

All women age 15-49 who were either permanent residents of the selected households or visitors who stayed in the household the night before the survey were eligible to be interviewed. With the parent’s or guardian’s consent, children age 6-59 months were tested for anaemia and malaria infection.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

Three types of questionnaires were used for the 2016 GMIS —the Household Questionnaire, the Woman’s Questionnaire, and the Biomarker Questionnaire. The questionnaires were adapted to reflect issues relevant to Ghana. Modifications were determined after a series of meetings with various stakeholders from the National Malaria Control Programme (NMCP) and other government ministries and agencies, nongovernmental organisations, and international partners. The questionnaires in English and three local Ghanaian languages (Akan, Ewe, and Ga) were programmed into tablet computers, which enabled the use of computer-assisted personal interviewing (CAPI) for the survey.

The Household Questionnaire was used to list all the usual members of and visitors to the selected households. Basic information was collected on the characteristics of each person listed in the household, including age, sex, and relationship to the head of the household. The data on the age and sex of household members, obtained from the Household Questionnaire, were used to identify women eligible for an individual interview and children age 6-59 months eligible for anaemia and malaria testing. Additionally, the Household Questionnaire captured information on characteristics of the household’s dwelling unit, such as the source of water, type of toilet facilities, materials used for the floor, ownership of various durable goods, and ownership and use of mosquito nets.

The Woman’s Questionnaire was used to collect information from women age 15-49 who were asked questions on the following topics: - Background characteristics (age, residential history, education, literacy, religion, and ethnicity) - Reproductive history for the last 5 years - Preventive malaria treatment for the most recent birth - Prevalence and treatment of fever among children under age 5 - Knowledge about malaria (symptoms, causes, prevention, and types of antimalarial medications) - Exposure and source of media messages about malaria

The Biomarker Questionnaire was used to record the results of the anaemia and malaria testing of children age 6-59 months.

Cleaning operations

Data for the 2016 GMIS were collected through questionnaires programmed into the CAPI application. The CAPI application was programmed by ICF and loaded into the computers along with the Household, Biomarker, and Woman’s Questionnaires. Using the cloud, the field supervisors transferred data on a daily basis to a central location for data processing in the GSS office located in Accra. To facilitate communication and monitoring, each field worker was assigned a unique identification number.

The Census and Survey Processing (CSPro) system was used for data editing, cleaning, weighting, and tabulation. Data received from the field teams’ CAPI applications were registered and checked for any inconsistencies and outliers at the GSS Head Office. Data editing and cleaning included an extensive range of structural and internal consistency checks. All anomalies were communicated to field teams which resolved data discrepancies. The corrected results were maintained in master CSPro data files at ICF and then used for analysis in producing tables for the final report.

Response rate

A total of 6,003 households were selected for the survey of which 5,929 were occupied at the time of fieldwork. Among the occupied households, 5,841 were successfully interviewed, for a response rate of 99%. In the interviewed households, 5,186 eligible women were identified for individual interview and 5,150 were successfully interviewed, for a response rate of 99%.

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...

The Afrobarometer is a comparative series of public attitude surveys that collects and disseminates data regarding Africans' views on democracy, governance, the economy, civil society, and related issues. This particular data collection was concerned with the attitudes and opinions of the citizens of Ghana, and also includes a number of "country-specific questions" designed specifically for the Ghana survey. The data are collected from nationally representative samples in face-to-face interviews in the language of the respondent's choice. Standard topics for the Afrobarometer include attitudes toward and evaluations of democracy, governance and economic conditions, political participation, and national identity. In addition, Round 6 surveys included special modules on taxation; tolerance; crime, conflict and insecurity; political corruption; interregional relations; perceptions of China; use of technology; and social service delivery. The surveys also collect a large set of socio-demographic indicators such as age, gender, education level, poverty level, language and ethnicity, and religious affiliation, as well as political party affiliation. Afrobarometer Round 6 surveys were implemented in 36 countries.

BackgroundAbuse and mistreatment of women during childbirth is a major barrier to facility-based delivery, putting women at risk of avoidable complications, trauma and negative health outcomes including death. We study the prevalence of obstetric violence (OV) and its associated factors in the Ashanti and Western Regions of Ghana.MethodologyA facility-based cross-sectional survey was conducted in eight public health facilities from September to December 2021. Specifically, close-ended questionnaires were administered to 1,854 women, aged 15–45 who gave birth in the health facilities. The data collected include the sociodemographic attributes of women, their obstetric history and experiences of OV based on the seven typologies according to the categorization by Bowser and Hills.FindingsWe find that about two in every three women (65.3%) experience OV. The most common form of OV is non-confidential care (35.8%), followed by abandoned care (33.4%), non-dignified care (28.5%) and physical abuse (27.4%). Furthermore, 7.7% of women were detained in health facilities for their inability to pay their bills, 7.5% received non-consented care while 11.0% reported discriminated care. A test for associated factors of OV yielded few results. Single women (OR 1.6, 95% CI 1.2–2.2) and women who reported birth complications (OR 3.2, 95% CI 2.4–4.3) were more likely to experience OV compared with married women and women who had no birth complications. In addition, teenage mothers (OR 2.6, 95% CI 1.5–4.5) were more likely to experience physical abuse compared to older mothers. Rural vs. urban location, employment status, gender of birth attendant, type of delivery, time of delivery, the ethnicity of the mothers and their social class were all not statistically significant.ConclusionThe prevalence of OV in the Ashanti and Western Regions was high and only few variables were strongly associated with OV, suggesting that all women are at risk of abuse. Interventions should aim at promoting alternative birth strategies devoid of violence and changing the organizational culture of violence embedded in the obstetric care in Ghana.

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 Ghana. Respondents in a face-to-face interview were asked to rate Ghana's President John Agyekum Kufuor 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 which 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 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 and observations of the respondent's attitude during the interview and of the interview environment.

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facilitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems. Detailed metadata will be found in ipumsi_6.3_gh_2000_ddic.html within the Data Package. The related metadata describes the content of the extraction of the specified sample from the IPUMS International on-line extraction system.