Ghana GH: Income Share Held by Lowest 20% data was reported at 5.400 % in 2012. This records an increase from the previous number of 5.200 % for 2005. Ghana GH: Income Share Held by Lowest 20% data is updated yearly, averaging 6.200 % from Dec 1987 (Median) to 2012, with 6 observations. The data reached an all-time high of 7.000 % in 1988 and a record low of 5.200 % in 2005. Ghana GH: Income Share Held by Lowest 20% 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: Poverty. Percentage share of income or consumption is the share that accrues to subgroups of population indicated by deciles or quintiles. Percentage shares by quintile may not sum to 100 because of rounding.; ; World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).; ; The World Bank’s internationally comparable poverty monitoring database now draws on income or detailed consumption data from more than one thousand six hundred household surveys across 164 countries in six regions and 25 other high income countries (industrialized economies). While income distribution data are published for all countries with data available, poverty data are published for low- and middle-income countries and countries eligible to receive loans from the World Bank (such as Chile) and recently graduated countries (such as Estonia) only. See PovcalNet (http://iresearch.worldbank.org/PovcalNet/WhatIsNew.aspx) for definitions of geographical regions and industrialized countries.

The gross national income (GNI) per capita in Ghana reached 2,340 U.S. dollars in 2023, decreasing by 40 U.S. dollars from the preceding year. Generally, the GNI per capita increased in the country compared to 2010, when it stood at 1,200 U.S. dollars.

Ghana GH: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Outside Region data was reported at 35.900 % in 2016. This records a decrease from the previous number of 35.949 % for 2015. Ghana GH: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Outside Region data is updated yearly, averaging 11.949 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 36.940 % in 1986 and a record low of 2.430 % in 1960. Ghana GH: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Outside Region 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: Imports. Merchandise imports from low- and middle-income economies outside region are the sum of merchandise imports by the reporting economy from other low- and middle-income economies in other World Bank regions according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

Ghana GH: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Middle East & North Africa data was reported at 0.550 % in 2016. This records an increase from the previous number of 0.175 % for 2015. Ghana GH: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Middle East & North Africa data is updated yearly, averaging 0.364 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 1.115 % in 1989 and a record low of 0.031 % in 1961. Ghana GH: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Middle East & North Africa 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: Exports. Merchandise exports to low- and middle-income economies in Middle East and North Africa are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Middle East and North Africa region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

This dataset contains key characteristics about the data described in the Data Descriptor Physical activity, time use, and food intakes of rural households in Ghana, India, and Nepal. Contents:

    1. human readable metadata summary table in CSV format


    2. machine readable metadata file in JSON format 
     Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.

This report consists of four chapters. Chapter one profiles the trends in household consumption and poverty rates, and in the characteristics of the poor observed between 1991 and 2012. Descriptive statistics of consumption and selected poverty indexes are presented and a profile of the characteristics of the poor is given. The chapter concludes with an analysis of vulnerability. Chapter two uses descriptive and econometric techniques to identify the drivers of Ghana’s success over the last two decades. Chapter three examines the main challenges Ghana continues to face: widening inequalities, a persistent spatial divide, and the deteriorating macroeconomic environment. Chapter four provides a roadmap for policy action to effectively address these challenges and consolidate Ghana’s success as a middle-income economy.

Ghana GH: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Latin America & The Caribbean data was reported at 3.166 % in 2016. This records a decrease from the previous number of 3.599 % for 2015. Ghana GH: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Latin America & The Caribbean data is updated yearly, averaging 2.719 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 5.993 % in 1995 and a record low of 0.189 % in 1984. Ghana GH: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Latin America & The Caribbean 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: Imports. Merchandise imports from low- and middle-income economies in Latin America and the Caribbean are the sum of merchandise imports by the reporting economy from low- and middle-income economies in the Latin America and the Caribbean region according to the World Bank classification of economies. Data are expressed as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

Abstract

The Annual Household Income and Expenditure Survey (AHIES) is the first nationally representative high-frequency household panel survey in Ghana. The AHIES is being conducted to obtain quarterly and annual data on household final consumption expenditure and a wide scope of demographic, economic and welfare variables including statistics on labour, food security, multi-dimensional poverty and health status for research, policy, and planning. Some of the key macroeconomic indicators to be generated include quarterly GDP, regional GDP, quarterly unemployment, underemployment, inequality, consumption expenditure poverty, multidimensional poverty and food security. The data from the AHIES is classified, tabulated and disseminated so that researchers, administrators, policy makers and development partners can use the information in formulating and implementing various development programs at the national and community levels and also to monitor targets under the Sustainable Development Goals.

Geographic coverage

Nation - Wide

Analysis unit

Individuals, Households

Universe

The universe covers the population living within individual households in Ghana. However, such population which is defined as institutionalised population as persons living at elderly houses, rest homes, correction facilities, military baracks, and hospitals with special characteristics, nursery,and also nomadic population are excluded.

Sampling procedure

With the sampling procedure, 10,800 households in 600 EAs, consisting of 304 (50.67%) urban and 296 (49.33%) rural households were drawn from the 2021 Population and Housing Census listing frame to form the secondary sampling units. A random sampling methodology was adopted to select eighteen (18) households per selected EAs in all regions to form the full sample for the fieldwork to be able to produce regionally representative expenditures for GDP.

Mode of data collection

Computer Assisted Personal Interview [CAPI]

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

survey

Frequency of data collection

Yearly

Sampling procedure

Sample size:

Ghana: Personal income per capita, U.S. dollars: The latest value from is U.S. dollars, unavailable from U.S. dollars in . In comparison, the world average is 0 U.S. dollars, based on data from countries. Historically, the average for Ghana from to is U.S. dollars. The minimum value, U.S. dollars, was reached in while the maximum of U.S. dollars was recorded in .

Objectives: Multimorbidity is a growing public health concern due to the increasing burden of non-communicable diseases, yet information about multimorbidity in low- and middle-income countries and migrant populations is scarce. We aimed to investigate the distribution and patterns of multimorbidity in rural and urban areas in Ghana and Ghanaian migrants in Europe.Methods: The RODAM cross-sectional study included 4,833 participants. Multimorbidity was defined as presence of multiple non-communicable chronic conditions. Patterns were determined from frequent combination of conditions. Prevalence ratios were estimated by logistic regression.Results: Prevalence of multimorbidity was higher in women and in urban Ghana and Europe. We observed a cardiometabolic pattern in all sites as well as circulatory-musculoskeletal and metabolic-musculoskeletal combinations in Ghana. Multimorbidity prevalence ratios were higher in Europe (men 1.47, 95% CI 1.34–1.59, women 1.18, 1.10–1.26) and urban Ghana (men 1.46, 1.31–1.59, women 1.27, 1.19–1.34).Conclusion: Distribution and patterns of multimorbidity differed by sex and site. With a higher burden of multimorbidity in urban areas, prevention strategies should focus on forestalling its increase in rapidly growing rural areas.

Ghana GH: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Within Region data was reported at 6.642 % in 2016. This records a decrease from the previous number of 6.773 % for 2015. Ghana GH: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Within Region data is updated yearly, averaging 12.328 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 39.864 % in 1984 and a record low of 2.385 % in 1967. Ghana GH: Imports: Low- and Middle-Income Economies: % of Total Goods Imports: Within Region 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: Imports. Merchandise imports from low- and middle-income economies within region are the sum of merchandise imports by the reporting economy from other low- and middle-income economies in the same World Bank region according to the World Bank classification of economies. Data are as a percentage of total merchandise imports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data. No figures are shown for high-income economies, because they are a separate category in the World Bank classification of economies.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

Merchandise exports to low- and middle-income economies in Europe & Central Asia (% of total merchandise exports) in Ghana was reported at 1.961 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Ghana - Merchandise exports to developing economies in Europe & Central Asia (% of total merchandise exports) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

The Gross Domestic Product per capita in Ghana was last recorded at 2169.67 US dollars in 2024. The GDP per Capita in Ghana is equivalent to 17 percent of the world's average. This dataset provides the latest reported value for - Ghana GDP per capita - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

As of 2023 people in Ghana employed in the field of executive management and change received the highest average salary of ****** U.S. dollars per year. Engineering and financial service professionals followed, with ****** and ****** U.S. dollars of annual earnings, respectively. According to the source, the lowest salary was received by individuals working in the area of logistics, operations and purchasing, as this amounted to ***** U.S. dollars per year.

This dataset contains national-level data on financial, human, and institutional resources for agricultural research and development (R&D). Accurate, reliable, and internationally comparable quantitative information on investments, human capacity, and the institutional structure of agricultural R&D is fundamental to understanding the contribution of research to agricultural growth in low- and middle-income countries. Providing such data is the mission of IFPRI’s Agricultural Science and Technology Indicators (ASTI) program. Through its large network of national, regional, and international partners, ASTI collects and analyzes data from government, higher education, nonprofit, and (where possible) private-sector agencies involved in agricultural R&D. The program conducts ongoing analysis of these datasets; disseminates the results of this analysis to promote advocacy and support policymaking; and builds national and regional capacity for data collection and analysis.This data was collected in 2014 and made it to Dataverse in 2015. Data File: http://www.asti.cgiar.org/ghana

Ghana GH: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Latin America & The Caribbean data was reported at 1.897 % in 2016. This records an increase from the previous number of 0.201 % for 2015. Ghana GH: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Latin America & The Caribbean data is updated yearly, averaging 0.402 % from Dec 1966 (Median) to 2016, with 49 observations. The data reached an all-time high of 1.897 % in 2016 and a record low of 0.000 % in 1983. Ghana GH: Exports: Low- and Middle-Income Economies: % of Total Goods Exports: Latin America & The Caribbean 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: Exports. Merchandise exports to low- and middle-income economies in Latin America and the Caribbean are the sum of merchandise exports from the reporting economy to low- and middle-income economies in the Latin America and the Caribbean region according to World Bank classification of economies. Data are as a percentage of total merchandise exports by the economy. Data are computed only if at least half of the economies in the partner country group had non-missing data.; ; World Bank staff estimates based data from International Monetary Fund's Direction of Trade database.; Weighted average;

Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata. DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted. REGION: Africa SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator) PROJECTION: Geographic, WGS84 UNITS: Estimated persons per grid square MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743. FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org) FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available. Ghana data available from WorldPop here.

Population density per pixel at 100 metre resolution. WorldPop provides estimates of numbers of people residing in each 100x100m grid cell for every low and middle income country. Through ingegrating cencus, survey, satellite and GIS datasets in a flexible machine-learning framework, high resolution maps of population counts and densities for 2000-2020 are produced, along with accompanying metadata.

DATASET: Alpha version 2010 and 2015 estimates of numbers of people per grid square, with national totals adjusted to match UN population division estimates (http://esa.un.org/wpp/) and remaining unadjusted.

REGION: Africa

SPATIAL RESOLUTION: 0.000833333 decimal degrees (approx 100m at the equator)

PROJECTION: Geographic, WGS84

UNITS: Estimated persons per grid square

MAPPING APPROACH: Land cover based, as described in: Linard, C., Gilbert, M., Snow, R.W., Noor, A.M. and Tatem, A.J., 2012, Population distribution, settlement patterns and accessibility across Africa in 2010, PLoS ONE, 7(2): e31743.

FORMAT: Geotiff (zipped using 7-zip (open access tool): www.7-zip.org)

FILENAMES: Example - AGO10adjv4.tif = Angola (AGO) population count map for 2010 (10) adjusted to match UN national estimates (adj), version 4 (v4). Population maps are updated to new versions when improved census or other input data become available.

Ghana data available from WorldPop here.

Merchandise imports from low- and middle-income economies in Europe & Central Asia (% of total merchandise imports) in Ghana was reported at 1.7654 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Ghana - Merchandise imports from developing economies in Europe & Central Asia (% of total merchandise imports) - actual values, historical data, forecasts and projections were sourced from the World Bank on November of 2025.