Cost of food in Ghana increased 14.80 percent in August of 2025 over the same month in the previous year. This dataset provides - Ghana Food Inflation - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Key information about Ghana CPI: Food and Non Alcoholic Beverage Change

• Ghana CPI: Food and Non Alcoholic Beverage Change was reported at 9.491 % in Oct 2025.
• This records a decrease from the previous number of 10.796 % for Sep 2025.
• Ghana CPI: Food and Non Alcoholic Beverage Change data is updated monthly, averaging 320,000.000 % from Sep 1998 to Oct 2025, with 326 observations.
• The data reached an all-time high of 401,900.000 % in Jun 2020 and a record low of 192,600.000 % in Jul 2000.
• Ghana CPI: Food and Non Alcoholic Beverage Change data remains active status in CEIC and is reported by CEIC Data.
• The data is categorized under World Trend Plus’s Global Economic Monitor – Table: CPI: Food and Non Alcoholic Beverage: Y-o-Y Growth: Monthly.

CEIC calculates Consumer Food Price Index Growth from monthly Consumer Food Price Index. Ghana Statistical Service provides Consumer Food Price Index with base 2021=100. Consumer Food Price Index Growth prior to January 1999 is calculated from Consumer Food Price Index with base 2002=100.

In 2024, within the food market in Ghana, fish & seafood recorded the highest average price per unit at approximately ***** U.S. dollars. In second place, meat followed with an average price per unit of around ***** U.S. dollars, while baby food ranked third with about *** U.S. dollars per unit.

The Ghanian dog and cat food market reached $892M in 2024, growing by 7.6% against the previous year. Over the period under review, the total consumption indicated resilient growth from 2012 to 2024: its value increased at an average annual rate of +5.8% over the last twelve years. The trend pattern, however, indicated some noticeable fluctuations being recorded throughout the analyzed period. Based on 2024 figures, consumption increased by +29.6% against 2020 indices.

The type of food and non-alcoholic beverages in Ghana which achieved the highest consumer price index (CPI) as of July 2023 were tea, maté, and other plant products for infusion, reaching 307.2 points. This subgroup was followed by cocoa drinks, with 240.9 points. As of the same date, fruits and nuts registered the lowest CPI in the country.

In 2024, the Ghanian canned food market increased by 3.6% to $1.5B, rising for the fifth year in a row after two years of decline. Overall, the total consumption indicated a buoyant expansion from 2012 to 2024: its value increased at an average annual rate of +5.5% over the last twelve years. The trend pattern, however, indicated some noticeable fluctuations being recorded throughout the analyzed period. Based on 2024 figures, consumption increased by +43.9% against 2019 indices.

Ghana Core Inflation Rate: excl Energy, Utility and All Food Items: 2021=100 data was reported at 6.200 % in Oct 2025. This records a decrease from the previous number of 7.500 % for Sep 2025. Ghana Core Inflation Rate: excl Energy, Utility and All Food Items: 2021=100 data is updated monthly, averaging 25.660 % from Jan 2019 (Median) to Oct 2025, with 82 observations. The data reached an all-time high of 54.400 % in Dec 2022 and a record low of 5.520 % in Jan 2019. Ghana Core Inflation Rate: excl Energy, Utility and All Food Items: 2021=100 data remains active status in CEIC and is reported by Bank of Ghana. The data is categorized under Global Database’s Ghana – Table GH.I010: Core Inflation Rates.

Ghana PPI: Weights: Mfg: Food Products and Beverages: Processed Food data was reported at 4.600 % in 2022. This stayed constant from the previous number of 4.600 % for 2021. Ghana PPI: Weights: Mfg: Food Products and Beverages: Processed Food data is updated yearly, averaging 4.600 % from Dec 2014 (Median) to 2022, with 9 observations. The data reached an all-time high of 4.600 % in 2022 and a record low of 4.600 % in 2022. Ghana PPI: Weights: Mfg: Food Products and Beverages: Processed Food data remains active status in CEIC and is reported by Ghana Statistical Service. The data is categorized under Global Database’s Ghana – Table GH.I014: Producer Price Index: Weights: September 2006=100.

6201 Global import shipment records of Foods with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

For the third consecutive year, Ghana recorded growth in overseas shipments of canned food, which increased by 13% to 15K tons in 2023.

Ghana Core Inflation Rate: excl Energy, Utility and All Food Items data was reported at 11.200 % in Oct 2018. This records a decrease from the previous number of 11.900 % for Sep 2018. Ghana Core Inflation Rate: excl Energy, Utility and All Food Items data is updated monthly, averaging 16.900 % from Jan 2016 (Median) to Oct 2018, with 34 observations. The data reached an all-time high of 24.900 % in Mar 2016 and a record low of 11.200 % in Oct 2018. Ghana Core Inflation Rate: excl Energy, Utility and All Food Items data remains active status in CEIC and is reported by Bank of Ghana. The data is categorized under Global Database’s Ghana – Table GH.I006: Core Inflation Rates.

187 Global export shipment records of Food,items with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

In 2023, exports of food preparations for infants from Ghana soared to 7.6K tons, with an increase of 37% against the previous year.

In 2023, the amount of domestic food grinders and mixers and fruit or vegetable juice extractors imported into Ghana dropped to 417K units, waning by -7.3% compared with the year before.

Abstract

The primary aim of the Comprehensive Food Security and Vulnerability Analysis (CFSVA) in Ghana is to provide much needed baseline information on the food security, health and nutrition situation in the entire country at sub-national and agro-ecological level in both, rural and urban areas.

This baseline study is meant to inform and guide WFP's and its partners' programming - most importantly that of the newly inaugurated government - mandated to address food insecurity and its underlying causes. It is meant to serve as a tool with a potential to refine the implementations of GPRS II, the UNDAF and similar future development frameworks that aim to achieve the Millennium Development Goals (MDG). The survey provides reliable, comprehensive and multi-sectoral information that should assist in strengthening targeting, identifying priority areas for interventions, etc.

Specifically, the CFSVA is intended to:

· Assess levels of household food insecurity in ten administrative regions, three agroecological zones and in urban and rural areas while focusing on the following questions: · Who are the food insecure people? · Where do they live? · Why are they food insecure? · How and what type of external assistance play a role in improving the food insecurity situation?

· Identify the main livelihoods in the country and analyse their contribution to food security at regional, agro-ecological, rural and urban level, and analyse households' capacity to withstand future shocks and problems;

· Assess households and communities' dependence on markets and the impact increasing food prices have had and are expected to have on their lives and livelihoods; · Assess the prevalence and distribution of malnutrition among children and mothers and define the relationship between food insecurity and malnutrition by determining whether the underlying reasons for prevailing child malnutrition are consumption or health related;

· Determine which populations or regions of the country are most vulnerable to poor health outcomes;

· Identify key indicators to be captured in the already operational Food Security Monitoring System to detect changes and trends in food security and vulnerability situation over time.

Geographic coverage

National coverage

Analysis unit

Surveys were conducted at the community and household level for analysis at sub-national and agro-ecological level in both, rural and urban areas.

Universe

The sample universe for this study was all residents of the household

A household is defined as a group of people currently eating from the same pot "under the same roof" (or in same compound if the household has more than one structure).

Kind of data

Sample survey data [ssd]

Sampling procedure

The CFSVA sampling strategy aimed at providing sufficiently precise estimates of several key food security indicators for all rural regions, as well as Urban Accra, and all other urban areas together in one domain.

As a CFSVA aims to provide estimates of many different indicators, no single indicator can guide sample size requirements. Therefore, when calculating minimal sample size, an assumed prevalence of 50% was used, this yields the largest sample sized for a required precision. A design effect of 2 was assumed (food security indicators typically used in similar CFSVAs usually have design effects ranging from near 1 to 4). 95% confidence is always used, with intervals of +/- 8%. Following the standard sample size calculation for estimating prevalences, this yields a sample of approximately 260 households per domain. Where possible, larger samples were taken to increase precision.

Due to the time and cost limitations of drawing a new accurate sample, it was decided to 'piggy-back' on the existing sample already drawn for the on-going DHS survey. The DHS sample is a 2-stage cluster sample, with the following sample distribution:

Ghana DHS 2008 cluster numbers by region (urban and rural)
Region Urban Rural Total
Western 15 24 39
Central 13 21 34
Gt. Accra 53 7 60
Volta 10 25 35
Eastern 16 27 43
Ashanti 36 31 67
Brong Ahafo 16 22 38
Northern 11 27 38
Upper East 5 23 28
Upper West 7 23 30
Total 182 230 412

The clusters used throughout the country are 'Enumeration Areas', or EAs. At the time of the CFSVA, Ghana Statistical Services had already recently drawn up this sample, complete with household listings for each selected EA (cluster). Rather than draw a new sample, a sub-sample of this was taken for the CFSVA. In this sub-sample, all rural clusters selected for the DHS were maintained in the CFSVA sample, and a sub-set of urban clusters were randomly selected from the DHS sample in each of the regions for inclusion in the CFSVA (thus maintaining the PPS selection of clusters). This resulted in a non-self-weighting sample, so probability weights were used in analysis to account for this.

Once the clusters were selected this way, it was decided to select 12 households per cluster to allow for sufficient total sample size per domain, while allowing for enumerator teams (consisting of 1 team leader and 4 enumerators) to complete, on average, one cluster per day. This also yielded at least 260 households per strata (or just under, and with the exception of rural Accra). As GSS has previously conducted a complete listing for all EAs in the DHS, they were able to randomly select 12 households per cluster (with 3 additional replacement households if one or more of the 12 were unavailable). The enumerator teams were supplied with maps of the EAs and the locations of the households and the names of the household heads.

This resulted in the final sample, by domain:

Domain Clusters Households (planned) Households (actually sampled) Number of these that were replacement households
Western Rural 24 288 288 38
Central Rural 21 252 252 37
Gt. Accra Rural 7 84 84 19
Volta rural 25 300 299 56
Eastern rural 27 324 324 55
Ashanti rural 31 372 372 59
Brong Ahafo rural 22 264 264 38
Northern rural 27 324 324 43
Upper East rural 23 276 276 27
Upper West rural 23 276 276 17
Urban Accra 42 504 504 129 Urban Other 49 588 588 103 Total 321 3852 3851 621

It should be noted here that Rural Accra has well below the goal of 260 households for that strata. Due to the very small rural population in that Region, and the fact that the DHS only had 7 rural clusters selected, it was decided that a sample yielding very low precision would be acceptable for that region.

In each cluster, an attempt to give the households an advance notice was made wherever possible, particularly in urban areas. Additionally, enumerators were instructed to make multiple re-visits (within the same day of visit to the EA) in order to try to capture the selected households. However, as can be noted from the table above, there was a high number of replacement households (overall, 16% of the sample) particularly in urban areas (21% of urban households and 14% of rural households). This could result in some bias if the absent/unreachable households were different than the randomly selected replacements.

Additional geographic reporting strata included urban/rural, and ecological zone. A probability weights were used in the analysis to compensate for the unequal selection probabilities throughout the country, the sample was representative for any geographic division, and the sample size allowed for sufficient precision within these alternative stratifications.

For nutrition indicators of children under 5, it was determined that the sample size would be too low to yield sufficiently precise estimates. Therefore, it was decided to aggregate the nutrition estimates at the zonal level and urban/rural for the majority of the analyses. In all households selected, all children under 5 were selected to be weighted and measured, as well as all women between 15 to 49 years old (pregnant women were not weighed and measured). Further discussion of the nutrition sample is presented in the nutrition data annex. For the community questionnaire, one questionnaire was administered in each EA (cluster).

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaires had been pilot tested prior to the training and were pilot tested again by each of the enumerators as part of the training. WHO was particularly involved in the design and analysis of the health and nutrition related aspects of the survey.

01 - Household Questionnaire - The household questionnaire was designed to collect quantitative data in 10 areas: (1) demographics and education, (2) migration information, (3) housing, facilities, and assets, (4) agriculture and access to market, (5) income sources and access to credit, (6) expenditure, (7) food consumption and sources, (8) shocks, risks and coping, (9) assistance, and (10) woman and child health and nutrition

02 - Community Questionnaire - The community questionnaire was structured, open ended and designed to collect qualitative information on (1) demographics, (2) socioeconomic information and infrastructure, (3) working population migration, (4) food security, (5) health, (6) education, (7) external assitance, (8) past event / shock identification, and (9) emergency preparedness. The community questionnaire was intended to contextualize the information collected at the household level. The resulting instrument was a structured, open-ended questionnaire. Response options were not systematically provided to the enumerators. Rather, the enumerators were asked to record exactly what respondents had to say.

Cleaning operations

The data entry masque (CSPRO) for

This dataset provides information on livelihoods and household food and nutrition security in an urban setting. The questionnaire was administered to 559 households in 16 enumeration areas in the Greater Accra Metropolitan Area from January through April, 1997. The sample is representative of households with children under 36 months. Topics in the household survey include complete household income, including information on credit and transfers; employment status; household food consumption (including detailed information on street food consumption); household food and non-food expenditures, assets; educational attainment for the head of the household and the mother of the index child, morbidity and health seeking behavior; anthropometry of all children in the household and the mother of the index child; care practices; food coping strategies; adaptive strategies; and hygiene spot check. Topics in the community survey include market prices, street foods, quality of services, and NGO activity.

In 2023, approx. 230 tons of chocolate and other food preparations containing cocoa were exported from Ghana; growing by 190% on 2022.

In September 2023, Greater Accra was the region in Ghana with the highest Consumer Price Index (CPI) for non-food, compared to the other regions. The region reached a CPI of 193 points, going above the national average of 180.1. On the other hand, the Upper West region recorded the lowest CPI (145.3 points), which was 34.8 points below the national average.

694 Global export shipment records of Food with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Just Food Ghana Limited Import Export Turnover 0.03 and 0 USD Million during July 2024 to June 2025. Also check supply chain analytics, top import and export commodities with price, buyers, suppliers, main competitors of Just Food Ghana Limited in Ghana.