Kenya's Gross Domestic Product (GDP) grew by 4.6 percent in the second quarter of 2024. Among sectors, accommodation and food services had the strongest performance, with quarterly growth of 26.6 percent. Financial and insurance sectors followed, registering a 5.1 percent growth rate. On the other hand, the construction sector had a negative growth rate of -2.9 percent.

This statistic shows the share of economic sectors in the gross domestic product (GDP) in Kenya from 2013 to 2023. In 2023, the share of agriculture in Kenya's gross domestic product was 21.81 percent, industry contributed approximately 16.86 percent and the services sector contributed about 55.42 percent.

Kenya Employment data was reported at 19,996.300 Person th in 2023. This records an increase from the previous number of 19,148.200 Person th for 2022. Kenya Employment data is updated yearly, averaging 15,162.050 Person th from Jun 2008 (Median) to 2023, with 16 observations. The data reached an all-time high of 19,996.300 Person th in 2023 and a record low of 10,012.500 Person th in 2008. Kenya Employment data remains active status in CEIC and is reported by Kenya National Bureau of Statistics. The data is categorized under Global Database’s Kenya – Table KE.G005: Employment: by Sector and Industry: International Standard of Industrial Classification Rev 4.

Kenya's manufacturing sector increased by 3.2 percent in the second quarter of 2024. This was an increase to the corresponding quarter of 2023, as the value added by the industry to the Gross Domestic Product (GDP) grew by 1.5 percent. In general, the growth rate of the manufacturing sector in Kenya fluctuated strongly, reaching its lowest value in the second quarter of 2020 with a score of -5.1 percent.

Kenya Employment: WE: PR: Manufacturing data was reported at 276.900 Person th in 2017. This records an increase from the previous number of 274.300 Person th for 2016. Kenya Employment: WE: PR: Manufacturing data is updated yearly, averaging 249.400 Person th from Jun 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 276.900 Person th in 2017 and a record low of 234.400 Person th in 2009. Kenya Employment: WE: PR: Manufacturing data remains active status in CEIC and is reported by Kenya National Bureau of Statistics. The data is categorized under Global Database’s Kenya – Table KE.G005: Employment: by Sector and Industry: International Standard of Industrial Classification Rev 4.

Kenya Average Wage Earnings: PU: Manufacturing data was reported at 1,055,646.900 KES in 2023. This records a decrease from the previous number of 1,069,384.700 KES for 2022. Kenya Average Wage Earnings: PU: Manufacturing data is updated yearly, averaging 862,659.850 KES from Jun 2008 (Median) to 2023, with 16 observations. The data reached an all-time high of 1,069,384.700 KES in 2022 and a record low of 483,420.000 KES in 2009. Kenya Average Wage Earnings: PU: Manufacturing data remains active status in CEIC and is reported by Kenya National Bureau of Statistics. The data is categorized under Global Database’s Kenya – Table KE.G009: Average Wage Earnings: by Sector and Industry: International Standard of Industrial Classification Rev 4.

Abstract

The Census of Industrial Production (CIP) and construction was carried out from July to October 2018. The census aimed at providing key statistics to be used for development of the structure of the industrial sector; rebasing of the producer price index, compilation of Supply and Use tables, Input-Output tables, Value Added and other National Accounts statistics and industrial exports and imports for the balance of payments statistics. Whereas, the last CIP was conducted in 2010 with 2009 as the reference year, the 2018 CIP reference year was 2017.

Data collected in the census included general particulars of establishments/enterprises, employment, labour costs, income, expenditure, goods and materials consumed, goods produced, fixed assets, imports, exports, waste management, ICT usage and the general business environment. The Census therefore sought to: i. Provide information for mining and quarrying, manufacturing, electricity and gas supply, water and sewerage, and construction sectors to be used in revision and rebasing of the National Accounts. ii. Form the basis for revisions and rebasing of key indices such as the Index of Industrial Production (IIP) and the Production Price Index (PPI). iii. Collect data to be used to update the sampling register for the annual Survey of Industrial Production, Monthly Survey of Industrial Production and rebasing of the Construction Input Price Index (CIPI). iv. Provide data for computing baseline export/import price indices for the industrial sector. v. Provide updated information to monitor the growth and the gains in fish processing, agro-Processing, leather and textiles sub-sectors which have been put on focus in realization of the Government increase of manufacturing contribution to GDP which is one of its big four action plans.

Specifically, the CIP 2018 set to;

i. Provide benchmark data to update economic structure of the industrial sector from the CIP 2010 level, To provide data on Industrial Structure; Update the current frame which was last developed in 2009; Improve quality of industrial data through broadening of statistical database to cater for changes that have taken place since 2009. ii. Establish an industrial database and update the register which will monitor and reflect changes in the structure of industry and provide a frame for industrial surveys. iii. Provide data for use in compilation of Supply and Use Tables, input-output tables and other national accounts statistics. iv. Provide data for industrial output, and capacity utilization. v. Provide measures of key statistics and the economic structure for the construction sector Provide data for computing baseline export/import price indices for the industrial sector. vi. Provide data for rebasing the Producer Price Index (PPI), the Index of Industrial Production (IIP) and the Construction Input Price Indices (CIPI) vii. Provide a basis for assessing trends in the economy and the contribution of industrial activities to the national economy.

Geographic coverage

National coverage

Analysis unit

Formal establishments that were involved in Industrial production activities across all the 47 counties

Agriculture had the largest contribution to Kenya's economy in the second quarter of 2024. The sector added roughly **** trillion Kenyan shillings (KSh), approximately ************* U.S. dollars, to the country's Gross Domestic Product (GDP). The amount corresponded to around ** percent of the total contribution of all industries to the economy. In the same period, the Kenyan GDP at market prices was measured at roughly *** trillion KSh (**** billion U.S. dollars).

Kenya: Electricity consumption by the industry: The latest value from is million kWh, unavailable from million kWh in . In comparison, the world average is 0.00 million kWh, based on data from countries. Historically, the average for Kenya from to is million kWh. The minimum value, million kWh, was reached in while the maximum of million kWh was recorded in .

Kenya KE: GDP: Growth: Gross Value Added: Industry: Manufacturing data was reported at 0.185 % in 2017. This records a decrease from the previous number of 2.689 % for 2016. Kenya KE: GDP: Growth: Gross Value Added: Industry: Manufacturing data is updated yearly, averaging 4.376 % from Dec 1965 (Median) to 2017, with 53 observations. The data reached an all-time high of 32.868 % in 1972 and a record low of -4.320 % in 1970. Kenya KE: GDP: Growth: Gross Value Added: Industry: Manufacturing data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Kenya – Table KE.World Bank.WDI: Gross Domestic Product: Annual Growth Rate. Annual growth rate for manufacturing value added based on constant local currency. Aggregates are based on constant 2010 U.S. dollars. Manufacturing refers to industries belonging to ISIC divisions 15-37. Value added is the net output of a sector after adding up all outputs and subtracting intermediate inputs. It is calculated without making deductions for depreciation of fabricated assets or depletion and degradation of natural resources. The origin of value added is determined by the International Standard Industrial Classification (ISIC), revision 3.; ; World Bank national accounts data, and OECD National Accounts data files.; Weighted average; Note: Data for OECD countries are based on ISIC, revision 4.

GDP from Services in Kenya decreased to 78123 KES Million in the first quarter of 2025 from 84340 KES Million in the fourth quarter of 2024. This dataset provides - Kenya Gdp From Services- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Abstract

The Kenya Enterprise Survey was conducted between May and July 2007. The research is based on a representative sample of 657 formal firms and 124 informal establishments. The sample was drawn in four locations (Nairobi, Mombasa,Nakuru, and Kisumu) and covered both manufacturing and services sectors.

The objective of the survey is to obtain feedback from enterprises in client countries on the state of the private sector as well as to help in building a panel of enterprise data that will make it possible to track changes in the business environment over time, thus allowing, for example, impact assessments of reforms. Through face-to-face interviews with firms in the manufacturing and services sectors, the survey assesses the constraints to private sector growth and creates statistically significant business environment indicators that are comparable across countries.

The standard Enterprise Survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, and performance measures. Over 90% of the questions objectively ascertain characteristics of a country’s business environment. The remaining questions assess the survey respondents’ opinions on what are the obstacles to firm growth and performance.

Geographic coverage

National

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The whole population, or the universe, covered in the Enterprise Surveys is the non-agricultural economy. It comprises: all manufacturing sectors according to the ISIC Revision 3.1 group classification (group D), construction sector (group F), services sector (groups G and H), and transport, storage, and communications sector (group I). Note that this population definition excludes the following sectors: financial intermediation (group J), real estate and renting activities (group K, except sub-sector 72, IT, which was added to the population under study), and all public or utilities sectors.

Kind of data

Sample survey data [ssd]

Sampling procedure

The study used stratified simple random sampling for the formal economy (registered establishments with more than 4 workers), and simple random sampling for the micro firms (non-registered establishments with less than 5 employees). Close to 60% of the formal sample is represented by manufacturing firms. Within manufacturing food (17 percent), garments (12 percent) and other manufacturing (31 percent) represent individual strata. Outside the manufacturing sector, the retail sector account for 19 percent of the sample and less than a quarter of the firms belong to the rest of services stratum.

The sample was drawn in four locations: Nairobi, Mombasa, Nakuru, and Kisumu. Size stratification for formal firms was defined following the standardized definition used for the Enterprise Surveys: small (5 to 19 employees), medium (20 to 99 employees), and large (more than 99 employees). For stratification purposes, the number of employees was defined on the basis of reported permanent full-time workers.

For establishments with five or more full-time permanent paid employees, the universe was stratified according to the following categories of industry: 1. Manufacturing: Food and Beverages (Group D, sub-group 15); 2. Manufacturing: Garment (Group D, sub group 18); 3. Manufacturing: Other Manufacturing (Group D excluding sub-groups 15 and 18); 4. Retail Trade: (Group G, sub-group 52); 5. Rest of the universe, including: • Construction (Group F); • Wholesale trade (Group G, sub-group 51); • Hotels, bars and restaurants (Group H); • Transportation, storage and communications (Group I); • Computer related activities (Group K, sub-group 72).

The sampling frame was obtained from the Kenya National Bureau of Statistics, the Kenya Association of Manufacturers, the Kenya National Chamber of Commerce, the Kenya Private Sector Alliance, and from the Federation of Kenya Employers. The lists were merged together into a master list which was validated, updated where possible, and then used to establish the initial population size for each stratum. The final population size in all strata and locations was 6562 with the vast majority of establishments operating in the rest of the universe, and manufacturing strata.

The sample also includes panel data collected from establishments surveyed in the 2003 Kenya Investment Climate Survey (ICS). That survey included establishments in all three manufacturing strata distributed across the entire country. In order to collect the largest possible set of panel data, an attempt was made to contact and survey every establishment in the panel, provided it was located in one of the four cities covered by this survey and operated in the universe under study.

The remainder of the sample (including the entire rest of universe and retail sample in each city) was selected at random from the master list by a computer program.

In this survey, the micro establishment stratum covers all establishments of the targeted categories of economic activity with less than 5 employees. The implementing agency, EEC Canada, selected an aerial sampling approach to estimate the population of establishments and select the sample in this stratum for all regions of the survey. The following procedure was followed for the sampling of micro establishments: 1. Step 1: districts and specific zones of each district with a high concentration of micro establishments were identified; 2. Step 2: a count of all micro establishments in these specific zones was conducted; 3. Step 3: the count by zone was converted into one list of sequential numbers for the whole survey region and a virtual list was created with establishments numbers; 4. Step 4: a computer program performed a random selection of establishments numbers from that virtual list; 5. Step 5: based on the ratio between the number selected in each specific zone and the total population in that zone, a skip rule was created and applied for selecting the corresponding establishments in each zone.

Enumerators applied the skip rule defined for that zone as well as how to select replacements in the event of refusal or other cause of non-participation.

Mode of data collection

Face-to-face [f2f]

Research instrument

The current survey instruments are available: - Core Questionnaire + Manufacturing Module [ISIC Rev.3.1: 15-37] - Core Questionnaire + Retail Module [ISIC Rev.3.1: 52] - Core Questionnaire [ISIC Rev.3.1: 45, 50, 51, 55, 60-64, 72] - Micro Establishments Questionnaire (for establishments with 1 to 4 employees).

The "Core Questionnaire" is the heart of the Enterprise Survey and contains the survey questions asked of all firms across the world. There are also two other survey instruments - the "Core Questionnaire + Manufacturing Module" and the "Core Questionnaire + Retail Module." The survey is fielded via three instruments in order to not ask questions that are irrelevant to specific types of firms, e.g. a question that relates to production and nonproduction workers should not be asked of a retail firm. In addition to questions that are asked across countries, all surveys are customized and contain country-specific questions. An example of customization would be including tourism-related questions that are asked in certain countries when tourism is an existing or potential sector of economic growth.

The survey topics include firm characteristics, gender participation, access to finance, annual sales, costs of inputs/labor, workforce composition, bribery, licensing, infrastructure, trade, crime, competition, capacity utilization, land and permits, taxation, informality, business-government relations, innovation and technology, registration, and performance measures. The questionnaire also assesses the survey respondents' opinions on what are the obstacles to firm growth and performance.

As of 2020, agriculture, forestry, and fishing was the industry with the highest contribution to Kenya's Gross Domestic Product (GDP), with a 22.6 percent share, followed by transport (12.9 percent) and real estate (9.1 percent). Sectors such as trade, manufacturing, and construction contributed each approximately seven percent to the country's GDP.

Abstract

The overall aim of the 2010 Census of Industrial Production (CIP), was to provide comprehensive information on the structure of the industrial activities in Kenya. The exercise targeted an estimated total of 3,000 registered establishments in the country. The CIP 2010 focused on various characteristics of formal establishments that included the economic activities at the four digit ISIC, employment, ownership structure, production and installed capacity, inventories, intermediate consumption, incomes, sales, ICT and fixed assets, among others.

A total of 1,814 formal establishments/firms responded for the industrial enquiry. Imputations were done for 438 establishments that did not respond based on other regular surveys and other administrative sources. The final results as reflected in the report are aggregated at the two digit (division) of ISIC.

The total output of the industrial sector in 2009 was KSh 1,009.2 billion with total gross value added of KSh 319.8 billion. Manufacturing activities recorded the largest share of industrial production, accounting for 90.3 percent of total value of industrial output. This was followed by electricity, gas, steam and air conditioning supply which recorded 7.9 percent of the total output. The total number of persons engaged as at June 2009 was 324,841 with about half of them based in Nairobi. The manufacturing sector accounted for about 94 percent of total employment within the industrial sector.

Most of the employees in industry were males at 77.2 percent. A total of 30 percent of establishments reported capacity utilization below 50 percent. Some of the key reasons cited by the establishments leading to under-utilization were the high cost of fuels, electricity and raw materials during the reference period.

Geographic coverage

National coverage

Analysis unit

Establishments

Universe

The exercise targeted an estimated total of 3,000 registered establishments in the country. The Census covers data on variables that characterize industrial production. These include number of establishments, general particulars, economic activities and ownership, employment and hours worked, production and installed capacity, capacity under-utilization, inventories, expenditure on goods and services, cost of purchase of goods for resale, total expenditure, sales and other revenues, plant and technology in use, IT infrastructure and related services, research and development and fixed assets.

Kind of data

Census/enumeration data [cen]

Sampling procedure

The 2010 CIP population of target respondents was made up of all establishments in Kenya that fall under ISIC Rev 4 sections B, C, D and E. These are namely; B (Mining and quarrying), C (Manufacturing), D (Electricity, gas, steam and air conditioning supply) and E (Water supply; sewerage, waste management and remediation activities).

A Central Business Register (CBR) of establishments is kept by KNBS and is maintained and constantly updated using data /information from administrative and public utility records, newspaper announcements, business journals and field personnel contacts. This CBR provided the final list that was used in the 2010 CIP. However, due to some responses being received from enterprises as opposed to establishments, there could be minor differences in the total number of establishments in the CIP compared to CBR.

Mode of data collection

Other [oth]

Research instrument

A researcher-administered questionnaire was used to gather the data. Operational units from both Ministry of Industrialization and KNBS provided all the technical and logistical expertise in questionnaire design as well as in the collection, editing, coding, tabulation, evaluation, analysis of data, and report writing. Field data collection was organized in such a way that three enumerators reported to one supervisor and in turn three supervisors reported to one coordinator.

The questionnaire includes the following topics: - General particulars of an establishment,
- Characteristics of an establishment, - The type of ownership, - Employment hours worked and compensation of employees, - Production installed capacity, - Reasons for underutilization, - Inventories, - Annual expenditure on goods and services, - Sales and other revenues, - Research and development, - Fixed assets.

Cleaning operations

The data was edited by the editing staff.

Response rate

A total of 1,814 firms/establishments responded to the industrial activities enquiry. Data from 438 additional establishments were imputed based on other regular surveys such as MSIP, the quarterly BEE and other administrative data records for the year 2009. Therefore, the total number of industrial establishments on whose data this report is based is 2,252. The establishments that were not covered in the census included those that could not be located or traced, and those whose administrative records were not accessed. Delays in receipt of returns from some establishments resulted in follow- ups, even after conclusion of data collection.

94.8 percent of the responses were at establishment level. The rest were at enterprise level, with one response being received for 26 establishments. The overall response rate based on an initial target of 3,000 establishments was about 85 percent. Coverage in the mining and quarrying sector was rather low as most of these activities are carried out by informal units which were excluded in the 2010 CIP.

Kenya Employment: WE: Private Sector (PR) data was reported at 1,866.400 Person th in 2017. This records an increase from the previous number of 1,817.200 Person th for 2016. Kenya Employment: WE: Private Sector (PR) data is updated yearly, averaging 1,546.700 Person th from Jun 2008 (Median) to 2017, with 10 observations. The data reached an all-time high of 1,866.400 Person th in 2017 and a record low of 1,309.000 Person th in 2008. Kenya Employment: WE: Private Sector (PR) data remains active status in CEIC and is reported by Kenya National Bureau of Statistics. The data is categorized under Global Database’s Kenya – Table KE.G005: Employment: by Sector and Industry: International Standard of Industrial Classification Rev 4.

The Kenya Telecom Market Report is Segmented by Services (Voice Services (Wired and Wireless), Data and Messaging Services, OTT, and PayTV Services). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.

Kenya ICT Market Report is Segmented by Type (Hardware, Software, Services, and Telecommunication Services), Size of Enterprise (Small and Medium Enterprises and Large Enterprises), and Industry Vertical (BFSI, IT and Telecom, Government, Retail and E-Commerce, Manufacturing, Energy and Utilities, and Other Industry Verticals). The Market Sizes and Forecasts are Provided in Value (USD) for all the Above Segments.

Graph and download economic data for Claims on Private Sector for Kenya (KENFDSAOPGDPPT) from 2000 to 2024 about Kenya, REO, credits, sector, and private.

The agricultural sector accounted for 53.8 percent of the total employment in Kenya as of 2020. Despite being the industry with a higher employment level, the services sector is growing steadily as well, reaching a share of 38.7 percent in 2020. A similar tendency was registered in the manufacturing sector, which accounted for 7.4 percent of the employment in the same period.

UNIDO pub on subcontracting in agro-industry in Kenya - covers (1) the concept of subcontracting, objectives, methodology (2) the role of agro-industry, market (3) modality of subcontracting, current practice, enabling factors and constraints (4) potential areas, subcontracting within the agro-industrial sector (raw materials, semi-finished goods and components, processes), potential for subcontracting by other sectors (5) institutional framework, infrastructure. Recommendations. Statistics, diagrams. Additional references: slaughtering, dairy products industry, canning, sugar, distilling, tobacco, cotton, knitting, tanning, leather goods, furniture, pulp and paper industry, machinery, equipment, government contribution, training, industrial extension, management. Restricted.