This statistic shows the biggest cities in Ghana, as of 2010. In September 2010, approximately **** million people lived in Accra, making it the biggest city in Ghana.

The population of Ghana

Accra and Kumasi, are by far the biggest cities in Ghana. Both metropolises boast populations of around two million inhabitants, while the majority of the other cities in Ghana have populations below *******. with Accra being the capital, both cities are located on the Gulf of Guinea on the Atlantic Ocean; Accra stretches along the coast, while Kumasi is located in the rain forest region inland and to the north of Accra.

Ghana is in the middle of an ever-growing urbanization, and its economy has experienced rapid growth over the past few years. While growth has now slowed somewhat, it is expected to pick up again in the future.

Alongside an increasing urbanization, Ghana is rapidly shifting from agriculture as its main source of GDP to an increasingly dominant services sector, alongside growth in industry. While the majority of employment is still largely agriculturally based, this will change, and with increasing urbanization and increasing economic growth, Ghana will need to cope with the transition; as of 2010, for example, ** percent of the urban population in Ghana was still living in slums. Ghana will have to deal with these changes, reduce the negative side effects and increase the positive ones. The provision and accessibility to urban services and infrastructure will improve the quality of life for an increasingly urban population, but it will need to be properly planned.

Actual value and historical data chart for Ghana Population In The Largest City Percent Of Urban Population

Ghana GH: Population in Largest City: as % of Urban Population data was reported at 18.198 % in 2017. This records an increase from the previous number of 17.858 % for 2016. Ghana GH: Population in Largest City: as % of Urban Population data is updated yearly, averaging 22.929 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 25.641 % in 1980 and a record low of 16.407 % in 2011. Ghana GH: Population in Largest City: as % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Ghana – Table GH.World Bank.WDI: Population and Urbanization Statistics. Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; Weighted average;

View yearly updates and historical trends for Ghana Population in the Largest City. Source: World Bank. Track economic data with YCharts analytics.

As part of efforts to reach the elimination target by 2030, the WHO and CDC recommend that all healthcare workers (HCWs) adhere to the 3-dose hepatitis B vaccination schedule to protect themselves against the infection. This study assessed Hepatitis B vaccination coverage and associated factors among personnel working in health facilities in Kumasi, Ghana. A cross-sectional study involving 530 HCWs was conducted in four hospitals in Kumasi from September to November 2023. An investigator-administered questionnaire was employed in gathering participant demographics and other information related to vaccination coverage. IBM SPSS version 26.0 and GraphPad Prism 8.0 were used for analysing the data. Even though, the majority (70.6%) reported having taken at least one dose of the vaccine, only 43.6% were fully vaccinated (≥ 3 doses). More than a quarter (29.4%) had not taken any dose of the HBV vaccine. Close to a quarter (23.6%) had not screened or tested for HBV infection in their lifetime..., Study Design and Population A cross-sectional study was conducted in four hospitals in Kumasi from 5th September to 9th November 2023. These study sites included 4 different hospitals. Kumasi, the second largest city in Ghana, is situated between latitudes 6.35°N and 6.40°N and longitudes 1.3°W and 1.35°W. Covering an area of approximately 150 square kilometres, it resides within the rainforest region of West Africa. The city has a population of around 2 million inhabitants [1]. In the suburbs of Kumasi [2], reported the prevalence levels of HBsAg are 6.78% in Garrison, 9.02% in Aboabo, and 10.0% in Tafo. The overall prevalence of HBsAg seropositivity within the study population was calculated to be 8.68%. These findings indicate that local prevalence rates of HBsAg can vary significantly within different areas of Kumasi. A total of 530 participants were recruited using a purposive sampling technique from the four different health facilities. The sample size was calculated using the Rao..., , # Hepatitis B vaccination coverage and associated factors among personnel working in health facilities in Kumasi, Ghana

Hepatitis B vaccination coverage and associated factors among personnel working in health facilities in Kumasi, Ghana.

[Access this dataset on Dryad: https://doi.org/10.5061/dryad.tmpg4f56b]

Summary of Dataset

This dataset contains information on the hepatitis B vaccination coverage and the associated factors among healthcare workers in health facilities in Kumasi, Ghana. The dataset captures information indicating the uptake of the hepatitis B vaccine by study participants. The cadre of professions, number of vaccination shots taken, perception of the cost of screening and vaccination, and more were captured as well. The data were collected using an investigator-administered questionnaire in a language that the study participants could easily comprehend (English and Twi).

Usage notes

Microsoft Excel ...

GH：最大城市人口在12-01-2017达2,907,222.000人，相较于12-01-2016的2,757,821.000人有所增长。GH：最大城市人口数据按年更新，12-01-1960至12-01-2017期间平均值为1,138,665.000人，共58份观测结果。该数据的历史最高值出现于12-01-2017，达2,907,222.000人，而历史最低值则出现于12-01-1960，为392,582.000人。CEIC提供的GH：最大城市人口数据处于定期更新的状态，数据来源于World Bank，数据归类于全球数据库的加纳 – 表 GH.世行.WDI：人口和城市化进程统计。

As of 2021, the Savannah region extended over the largest area in Ghana. The region covered nearly **** thousand square kilometers of land. This was followed by the Northern and Ashanti regions, with around **** thousand square kilometers and **** thousand square kilometers, respectively.

Nigeria has the largest population in Africa. As of 2025, the country counted over 237.5 million individuals, whereas Ethiopia, which ranked second, has around 135.5 million inhabitants. Egypt registered the largest population in North Africa, reaching nearly 118.4 million people. In terms of inhabitants per square kilometer, Nigeria only ranked seventh, while Mauritius had the highest population density on the whole African continent in 2023. The fastest-growing world region Africa is the second most populous continent in the world, after Asia. Nevertheless, Africa records the highest growth rate worldwide, with figures rising by over two percent every year. In some countries, such as Chad, South Sudan, Somalia, and the Central African Republic, the population increase peaks at over 3.4 percent. With so many births, Africa is also the youngest continent in the world. However, this coincides with a low life expectancy. African cities on the rise The last decades have seen high urbanization rates in Asia, mainly in China and India. African cities are also growing at large rates. Indeed, the continent has three megacities and is expected to add four more by 2050. Furthermore, Africa's fastest-growing cities are forecast to be Bujumbura, in Burundi, and Zinder, Nigeria, by 2035.

Abstract

The DPHS in Accra, Ghana was collected in May and June 2017 in slum areas across nine neighborhoods in the city. The survey focused on the impacts of a major flood event that happened in June 2015 in Accra and how the impacts related to the poverty status of households, focusing on exposure, vulnerability and capacity to recover.

This project was a collaborative effort between Global Facility for Disaster Reduction and Recovery (GFDRR), the Poverty Global Practice and Urban, Disaster Risk Management, Resilience and Land Global Practice (GPURL). The Institute of Statistical, Social and Economic Research (ISSER) of the University of Accra carried out the data collection.

Geographic coverage

Slum areas in Accra, Ghana.

Analysis unit

• Household
• Individual

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample selection stratifies the targeted slums by flood proneness and the level of poverty (Erman et al., 2018) as the following:

1. Slum areas were identified by combining the definition for informal settlement used by Accra Metropolitan Assembly (AMA) and UN Habitat (2011) and a slum index score developed by Engstrom et al. (2017). Enumeration areas (EAs) were added to the sample frame if they were defined as being in a slum area using the following definition: i) they were fully inside the areas defined as informal settlement according to AMA and UN Habitat’s definition and ii) had a slum index value higher than 0.7.

2. Enumeration areas in the sample frame were categorized as low poverty and high poverty by using a neighborhood-level poverty estimate created by Engstrom et al. (2017).

3. Enumeration areas in the sample frame were also categorized as flood-prone and not flood-prone using average elevation levels in the enumeration area. High flood risk areas are defined as below 17.5 meters (based on average elevation of areas flooded in the 2015 flood) and low risk areas as above 35 meters (the elevation level, above which there were no reported flooding during the 2015 flood).

4. Four neighborhoods in which all EAs were considered high risk and 4 neighborhoods in which all EAs were considered low-risk and one neighborhood with a mix of high and low-risk EAs were selected for the sample frame. In all selected neighborhoods, all EAs were defined as slum areas. The neighborhoods selected were Korle Lagoon Area, Jamestown, Gbegbeyise and Korle Dudor as high flood risk areas, and Abeka, Accra New Town, Mamobi, and Nima as low flood risk areas and Pig Farm, which includes both high and low flood risk areas. Neighborhoods are indicated in Figure 1 in a map of Accra. This administrative division was extracted from Engstrom et al. (2013).

5. The EAs in the selected neighborhoods were stratified into four categories: i) high flood risk and high poverty incidence; ii) low flood risk and high poverty incidence; iii) high flood risk and low poverty incidence; iv) low flood risk and low poverty incidence, of all selected neighborhoods.

6. Two-stage sampling was applied; 12 EAs per strata were selected using Probability Proportion to Size (PPS) and then 20 households per selected EA were selected using random sampling after listing. The sample size was determined using power calculations.

The shapefile of the Accra neighborhoods can be found in the folder DPHS_AccraGhana_Neighbourhoods, among the resources made available. The neighborhood shapefile can be matched with the surveyed neighborhoods in the DPHS dataset (DPHS_AccraGhana_Data) through the key variable neighbourhood_code.

Reference list: ENGSTROM, R., OFIESH, C., RAIN, D., JEWELL, H., AND WEEKS, J. (2013): “Defining neighborhood boundaries for urban health research in developing countries: A case study of Accra, Ghana”, Journal of Maps, 9(1), 36-42. ENGSTROM, R., D., PAVELESKU, T., TANAKA, A., AND WAMBILE (2017): “Monetary and non-monetary poverty in urban slums in Accra: Combining geospatial data and machine learning to study urban poverty,” Work in Progress, The World Bank. ERMAN, A., MOTTE, E., GOYAL, R., ASARE, A., TAKAMATSU, S., CHEN, X., MALGIOGLIO, S., SKINNER, A., YOSHIDA, N., AND HALLEGATTE, S. (2018): “The road to recovery: the role of poverty in the exposure, vulnerability and resilience to floods in Accra,” Policy Research Working Paper; No. 8469. World Bank, Washington, DC.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The survey questionnaire consists of 14 sections that were used to collect the survey data. See the attached questionnaire.

Cleaning operations

The following data editing was done for anonymization purpose: • Precise location data, such as GPS coordinates, were dropped • Identifying information, such as name, birth date and phone number were dropped • Furthermore, the number of reported religions was reduced from 8 to 3 categories, the number of ethnicities from 9 to 4 categories and household size exceeding seven household members was categorized as “above 7 members”. • Household member information for 7th member and above was dropped to avoid reconstruction of the household size variable.