KE: Central Bank Policy Rate: End of Period data was reported at 10.000 % pa in 2017. This stayed constant from the previous number of 10.000 % pa for 2016. KE: Central Bank Policy Rate: End of Period data is updated yearly, averaging 9.375 % pa from Dec 2006 (Median) to 2017, with 12 observations. The data reached an all-time high of 18.000 % pa in 2011 and a record low of 6.000 % pa in 2010. KE: Central Bank Policy Rate: End of Period data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Kenya – Table KE.IMF.IFS: Money Market and Policy Rates: Annual.

Claims on other sectors of the domestic economy (annual growth as % of broad money) in Kenya was reported at 11.59 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Kenya - Claims on other sectors of the domestic economy (annual growth as % of broad money) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Kenya KE: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: % of Population Aged 15-24 data was reported at 76.021 % in 2017. This records an increase from the previous number of 66.357 % for 2014. Kenya KE: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: % of Population Aged 15-24 data is updated yearly, averaging 66.357 % from Dec 2011 (Median) to 2017, with 3 observations. The data reached an all-time high of 76.021 % in 2017 and a record low of 40.272 % in 2011. Kenya KE: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: % of Population Aged 15-24 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: Bank Account Ownership. Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (young adults, % of population ages 15-24).; ; Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Graph and download economic data for Broad Money for Kenya (KENFMBPCPPPT) from 2000 to 2026 about Kenya, broad, REO, monetary aggregates, and rate.

Broad money (% of GDP) in Kenya was reported at 40.01 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. Kenya - Broad money (% of GDP) - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

Cash in circulation in Kenya made up *** percent of the country's Gross Domestic Product (GDP) in 2019, down from *** percent in 2018. The ratio has been decreasing in the last years, indicating a reduction in the dominance of coins and banknotes for transactions in the country.

The Gross Domestic Product (GDP) in Kenya was worth 124.50 billion US dollars in 2024, according to official data from the World Bank. The GDP value of Kenya represents 0.12 percent of the world economy. This dataset provides - Kenya GDP - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Kenya KE: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Primary Education Or Less: % of Population Aged 15+ data was reported at 67.408 % in 2017. This records an increase from the previous number of 64.166 % for 2014. Kenya KE: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Primary Education Or Less: % of Population Aged 15+ data is updated yearly, averaging 64.166 % from Dec 2011 (Median) to 2017, with 3 observations. The data reached an all-time high of 67.408 % in 2017 and a record low of 19.436 % in 2011. Kenya KE: Bank Account Ownership at a Financial Institution or with a Mobile-Money-Service Provider: Primary Education Or Less: % of Population Aged 15+ 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: Bank Account Ownership. Account denotes the percentage of respondents who report having an account (by themselves or together with someone else) at a bank or another type of financial institution or report personally using a mobile money service in the past 12 months (primary education or less, % of population ages 15+).; ; Demirguc-Kunt et al., 2018, Global Financial Inclusion Database, World Bank.; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

The share of cash transactions at POS (Point-of-Sale) in Kenya declined by five percentage points between 2019 and 2023. This is according to two different questions asked throughout multiple surveys from Statista's Consumer Insights. The numbers shown here refer to a rolling 12-month share of respondents who indicated they used cash in a brick and mortar shop or whilst shopping online. In 2019, the share of respondents using cash transactions at POS (Point-of-Sale) stood at 89 percent, which declined to 84 percent in 2023. On the other hand, during the same period, cash paid in advance and cash on delivery for online payments rose by one and three percentage points, respectively.

In 2023, earnings from international arrivals in Kenya amounted to 352.5 billion Kenyan shillings (KSh), around 2.7 billion U.S. dollars. This represented an increase of around 32 percent in comparison to the previous year. In 2020, the number of international visitor arrivals in Kenya declined sharply, and, consequently, the sector’s revenue fell to 89 billion KSh (686 million U.S. dollars). The drop interrupted an up going trend in place since 2015. From that year onward, the country’s tourism industry had recorded an annual growing revenue, after a slowdown due to an upsurge in violent terrorist attacks in 2012. First signs of recovery in 2021 Worldwide, the tourism industry felt the dramatic effects of the coronavirus (COVID-19) pandemic. In Kenya, the sector contracted, and its contribution to the country’s GDP roughly halved in 2020, compared to 2019. By the end of 2021, however, signals of recovery amid the tourism industry were already spotted. The monthly number of arrivals in both Jomo Kenyatta and Moi international airports in December that year corresponded to roughly 70 percent of that registered in December 2019. Additionally, as of March 2022, the bed occupancy rate in Kenyan hotels amounted to 57 percent, against 23 percent in March 2021. Tourism: a relevant industry in Kenya’s economy Kenya is extensively known for its rich nature and wildlife. The country is home to Mount Kenya, the second-highest mountain in Africa, and houses seven UNESCO World Heritage sites, such as the Lake Turkana national parks and the Lamu Old Town. Unsurprisingly, travel and tourism play a key role in the Kenyan economy. Despite the impacts of the COVID-19 pandemic, the industry remained a relevant source of employment. As of 2020, tourism engaged roughly 6.4 percent of the total employment in Kenya.

Abstract

Financial inclusion is critical in reducing poverty and achieving inclusive economic growth. When people can participate in the financial system, they are better able to start and expand businesses, invest in their children’s education, and absorb financial shocks. Yet prior to 2011, little was known about the extent of financial inclusion and the degree to which such groups as the poor, women, and rural residents were excluded from formal financial systems.

By collecting detailed indicators about how adults around the world manage their day-to-day finances, the Global Findex allows policy makers, researchers, businesses, and development practitioners to track how the use of financial services has changed over time. The database can also be used to identify gaps in access to the formal financial system and design policies to expand financial inclusion.

Geographic coverage

National Coverage

Analysis unit

Individual

Universe

The target population is the civilian, non-institutionalized population 15 years and above.

Kind of data

Sample survey data [ssd]

Frequency of data collection

Triennial

Sampling procedure

As in the first edition, the indicators in the 2014 Global Findex are drawn from survey data covering almost 150,000 people in more than 140 economies-representing more than 97 percent of the world's population. The survey was carried out over the 2014 calendar year by Gallup, Inc. as part of its Gallup World Poll, which since 2005 has continually conducted surveys of approximately 1,000 people in each of more than 160 economies and in over 140 languages, using randomly selected, nationally representative samples. The target population is the entire civilian, noninstitutionalized population age 15 and above. The set of indicators will be collected again in 2017.

Surveys are conducted face to face in economies where telephone coverage represents less than 80 percent of the population or is the customary methodology. In most economies the fieldwork is completed in two to four weeks. In economies where face-to-face surveys are conducted, the first stage of sampling is the identification of primary sampling units. These units are stratified by population size, geography, or both, and clustering is achieved through one or more stages of sampling. Where population information is available, sample selection is based on probabilities proportional to population size; otherwise, simple random sampling is used. Random route procedures are used to select sampled households. Unless an outright refusal occurs, interviewers make up to three attempts to survey the sampled household. To increase the probability of contact and completion, attempts are made at different times of the day and, where possible, on different days. If an interview cannot be obtained at the initial sampled household, a simple substitution method is used. Respondents are randomly selected within the selected households by means of the Kish grid. In economies where cultural restrictions dictate gender matching, respondents are randomly selected through the Kish grid from among all eligible adults of the interviewer's gender.

In economies where telephone interviewing is employed, random digit dialing or a nationally representative list of phone numbers is used. In most economies where cell phone penetration is high, a dual sampling frame is used. Random selection of respondents is achieved by using either the latest birthday or Kish grid method. At least three attempts are made to reach a person in each household, spread over different days and times of day.

The sample size in Kenya was 1,000 individuals.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

The questionnaire was designed by the World Bank, in conjunction with a Technical Advisory Board composed of leading academics, practitioners, and policy makers in the field of financial inclusion. The Bill and Melinda Gates Foundation and Gallup Inc. also provided valuable input. The questionnaire was piloted in multiple countries, using focus groups, cognitive interviews, and field testing. The questionnaire is available in 142 languages upon request.

Questions on cash withdrawals, saving using an informal savings club or person outside the family, domestic remittances, school fees, and agricultural payments are only asked in developing economies and few other selected countries. The question on mobile money accounts was only asked in economies that were part of the Mobile Money for the Unbanked (MMU) database of the GSMA at the time the interviews were being held.

Sampling error estimates

Estimates of standard errors (which account for sampling error) vary by country and indicator. For country-specific margins of error, please refer to the Methodology section and corresponding table in Asli Demirguc-Kunt, Leora Klapper, Dorothe Singer, and Peter Van Oudheusden, “The Global Findex Database 2014: Measuring Financial Inclusion around the World.” Policy Research Working Paper 7255, World Bank, Washington, D.C.

The Gross Domestic Product per capita in Kenya was last recorded at 1853.09 US dollars in 2024. The GDP per Capita in Kenya is equivalent to 15 percent of the world's average. This dataset provides the latest reported value for - Kenya GDP per capita - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

The Kenyan telecom market, valued at $3.79 billion in 2025, exhibits a steady growth trajectory, projected to expand at a Compound Annual Growth Rate (CAGR) of 2.24% from 2025 to 2033. This growth is fueled by increasing smartphone penetration, rising data consumption driven by the popularity of social media and streaming services, and the expanding mobile money ecosystem. The market is segmented primarily into voice services (both wired and wireless), data and messaging services, and Over-The-Top (OTT) and PayTV services. Key players like Safaricom, Airtel Kenya, and Telkom Kenya dominate the landscape, with significant competition from smaller players like Equitel and Zuku, vying for market share through innovative offerings and competitive pricing strategies. Growth is further influenced by government initiatives promoting digital inclusion and infrastructure development, although challenges such as the cost of data and infrastructure limitations in remote areas continue to pose constraints. The increasing adoption of 4G and the gradual rollout of 5G networks are expected to significantly influence data consumption patterns and further fuel market expansion in the coming years. The competitive landscape is characterized by intense rivalry, prompting service providers to continuously enhance their service offerings, expand network coverage, and leverage strategic partnerships to maintain a competitive edge. Growth in the data and OTT segments is particularly noteworthy, reflecting a shifting consumer preference towards digital content consumption. This trend is further supported by a young and tech-savvy population increasingly reliant on mobile devices for communication, entertainment, and financial transactions. While the market presents considerable opportunities, sustaining profitability requires companies to adapt to evolving consumer demands, manage operating costs, and navigate regulatory challenges effectively. The successful players will be those capable of optimizing network efficiency, strategically investing in infrastructure upgrades, and leveraging innovative business models to cater to the diverse needs of the Kenyan consumer base. Recent developments include: October 2024: Safaricom has expanded its M-PESA Global service to include Ethiopia, enabling users to transfer mobile money from Kenya to Ethiopia. With this growth, the two companies strive to enhance the utilization and reach of mobile money in Ethiopia, which can help stimulate local economies and provide new prospects for people and businesses in the area. This partnership reflects our dedication to providing creative financial options that meet the changing demands of our clients.September 2024: Axian Telecom was reportedly looking to acquire Kenya-based mobile, internet and TV provider Wananchi Group., The Standard reported according to files made with regulator Comesa Competition Commission, Axian Telecom subsidiary Axian Telecom Fibre is looking to acquire 99.63% of Wananchi. It trades under the Zuku brand offering TV, broadband and mobile across Kenya, Tanzania, Uganda, Malawi and Zambia.. Key drivers for this market are: Rising demand for 4G and 5G services, Growth of IoT usage in Telecom. Potential restraints include: Rising demand for 4G and 5G services, Growth of IoT usage in Telecom. Notable trends are: The Demand for 4G and 5G Services is Rising.

South Africa's GDP was estimated at just over 403 billion U.S. dollars in 2024, the highest in Africa. Egypt followed, with a GDP worth around 380 billion U.S. dollars, and ranked as the second-highest on the continent. Algeria ranked third, with about 260 billion U.S. dollars. These African economies are among some of the fastest-growing economies worldwide. Dependency on oil For some African countries, the oil industry represents an enormous source of income. In Nigeria, oil generates over five percent of the country’s GDP in the third quarter of 2023. However, economies such as the Libyan, Algerian, or Angolan are even much more dependent on the oil sector. In Libya, for instance, oil rents account for over 40 percent of the GDP. Indeed, Libya is one of the economies most dependent on oil worldwide. Similarly, oil represents for some of Africa’s largest economies a substantial source of export value. The giants do not make the ranking Most of Africa’s largest economies do not appear in the leading ten African countries for GDP per capita. The GDP per capita is calculated by dividing a country’s GDP by its population. Therefore, a populated country with a low total GDP will have a low GDP per capita, while a small rich nation has a high GDP per capita. For instance, South Africa has Africa’s highest GDP, but also counts the sixth-largest population, so wealth has to be divided into its big population. The GDP per capita also indicates how a country’s wealth reaches each of its citizens. In Africa, Seychelles has the greatest GDP per capita.

As of February 2021, the amount of cash circulating in Kenya increased to ***** billion Kenyan shillings (KSh), around *** billion U.S. dollars, after a fall at the beginning of the year. In general, the level of currency in circulation, which refers to cash physically used for transactions, has been rising since January 2020.

Abstract

The 2015/16 Kenya Integrated Household Budget Survey (KIHBS) was conducted over a 12-month period to obtain up-to-date data on a range of socioeconomic indicators used to monitor the implementation of development initiatives. The Survey collected data on household characteristics, housing conditions, education, general health characteristics, nutrition, household income and credit, household transfers, information communication technology, domestic tourism, shocks to household welfare and access to justice. The findings are presented at national, county, rural and urban domains.

Household Characteristics The findings of the 2015/16 KIHBS basic characteristics of the population show that the sex ratio is 97.5. About 70 per cent of households were headed by males and the reported average household size was 4 members. The age dependency ratio declined to 81.6 per cent in 2015/16 KIHBS as compared to 84.0 per cent recorded in 2005/06 KIHBS. Majority (54.4%) of the population aged 18 years and above are in monogamous unions. At the national level, 8.4 per cent of children were orphans.

Housing Conditions and amenities Information regarding housing conditions and ownership, access to water, energy, sanitation and waste disposal was collected in the 2015/16 KIHBS. Bungalow was the most common dwelling type of housing occupied by 55.4 per cent of the households. About 60 per cent of households reported that they owned the dwellings that they resided in. The findings show that 72.6 per cent of households use improved drinking water sources. The statistics show that six out ten households had access to improved human waste disposal methods. Overall, 41.4 per cent of households were connected to electricity from the main grid.

Education Findings on education are presented for; pre-primary, primary, secondary, middle level college and university levels; and informal education, Madrassa/Duksi. Nationally, 89.4 per cent of the population aged three years and above had ever attended school. The overall Gross Attendance (GAR) for pre-primary, primary and secondary levels was 94.4 per cent, 107.2 per cent and 66.2 per cent, respectively. The population aged 3 years and above that did not have any educational qualification was 49.7 per cent. Most of the population aged 3 years and above that had not attended school cited not being allowed to attend by parent(s) as the reason for non-attendance. The proportion of the population aged 15-24 years that was literate, based on respondents' self -assessment, was 88.3 per cent.

General Health Characteristics General health characteristics discussed in the report comprise: morbidity by sex, health seeking behaviour, utilization of health care services and facilities, disability and engagement in economic activities and health insurance coverage. Information on child survival such as place of delivery, assistance during delivery, immunization and incidences of diarrhoea is also presented. The results show that two out of ten individuals reported a sickness or injury over the four weeks preceding the survey. Majority of the individuals (55.5 %) with a sickness or injury visited a health worker at a health facility for diagnosis. Disabilities were reported by 2.8 per cent of the population. Slightly more than a third of persons with disabilities reported having difficulty in engaging in economic activities. moderately stunted. A higher proportion (32.4%) of children in the rural areas were moderately stunted compared to those in urban areas (24.5%). Overall, 13.0 per cent of children were moderately wasted while 6.7 per cent were moderately underweight. The statistics further indicate that 98.8 per cent of children aged 0-59 months were ever breast fed. The mean length of breastfeeding nationally stood at 16.8 months. Porridge was the most common type of first supplement given to majority (35.9%) of children aged 0-23 months. The survey findings show that eight out of ten children participated in community-based nutritional programmes.

Household Income and Credit Household income is the aggregate earnings of all household members. It includes all forms of income arising from employment, household enterprises, agricultural produce, rent, pension and financial investment. The discussion in this report focuses on income from rent, pension, financial investment and other related incomes. Information is also provided on access and sources of credit. At national level, 7.2 per cent of households reported having received income from rent, pension, financial investment and other related incomes within the 12 months preceding the survey. A third of the households sought credit and over 90 per cent successfully acquired credit.

Household Transfers Transfers constitute income, in cash or in kind, that the household receives without working for it and it augments household income by improving its welfare. Three out of ten households reported having received cash transfers within the 12 months preceding the survey period. The average amount received per household from cash transfers was KSh. 27,097. Majority of households received cash transfers through a family member. Money transfer agents were the preferred mode of transmitting money for most beneficiaries of transfers received from outside Kenya. Over half of the households gave out transfers in kind.

Information and Communication Technology The 2015/16 KIHBS collected information on ICT equipment use and ownership. Findings show that three in every four individuals aged 18 years and above owned a mobile phone with an average number of 1.3 SIM cards per person. The most commonly used ICT equipment is the radio and mobile phone, reported by 79.3 per cent and 68.5 per cent of individuals aged 3 years and above, respectively. The highest proportion (50.3%) of those that did not own a mobile phone cited its high cost as the reason. Urban areas had the highest proportion of population with ownership of a mobile phone. Nairobi City County had the highest proportion of population with a mobile phone while Turkana County had the lowest. The population aged 3 years and above that reported using internet over the last three months preceding the survey was 16.6 per cent. Three in every ten households had internet connectivity and use of internet in mobility was reported as the most common place of use of internet. The internet was used mainly for social networking. No need to use the internet was the most predominant reason for not using the internet reported by 30.1 per cent of those who did not use it.

Domestic Tourism Domestic tourism comprises activities of residents travelling to and staying at least over a night in places outside their usual environment within the country, for not more than 12 months, for leisure, business or other purposes. At national level, 13.4 per cent of individuals reported that they travelled within Kenya in the 3 months preceding the survey. Visiting friends and relatives was reported by the highest proportion (71.1%) of individuals taking trips. Majority of those who took a trip (66.4%) reported that they sponsored themselves. Transport costs accounted for the largest share (38.4%) of expenditure on domestic tourism. Majority of those who did not take a trip reported high cost as a reason.

Shocks to Household Welfare A shock is an event that may trigger a decline in the well-being of an individual, a community, a region, or even a nation. The report presents information on shocks which occurred during the five-year period preceding the survey and had a negative impact on households' economic status or welfare. Three in every five households reported having experienced at least one shock within the five years preceding the survey. A large rise infood prices was reported by the highest proportion (30.1 per cent) of households as a first severe shock. Most households reported that they spent their savings to cope with the shock(s).

Justice The survey sought information from household members on their experiences regarding grievances/disputes, resolution mechanisms, status of grievance/dispute resolution and costs incurred. Majority of households (26.2%) experienced grievances related to succession and inheritance. Approximately seven out of ten households that experienced grievances reported that they were resolved by parties from whom they sought interventions. Lawyers on average received the highest amount of money (KSh 59,849) paid to a primary organization for grievance resolution through a formal channel. Courts accounted for the highest informal costs averaging KSh 6,260 in grievance resolution.

Geographic coverage

The survey covers all the Counties in Kenya based on the following levels National, Urban, Rural and County

Analysis unit

Households Indviduals within Households and Community

Kind of data

Sample survey data [ssd]

Sampling procedure

Design and Sample Selection The second Kenya Integrated Household Budget Survey 2015/16 will be the eighth household budget survey to be conducted in Kenya following those conducted in 1981/82, 1983/84, 1992, 1994, 1997 and 2005/06. The KIHBS 2015/16 is a multi-indicator survey in nature with the main objective of updating the household consumption patterns in all the Counties.

KIHBS 2015/16 is designed to provide estimates for various indicators at the County-level. A total of 50 study domains are envisaged. These are; all the forty-seven (47) counties (Each as a separate domain), urban and rural (each as a separate domain at National level), and lastly the National-level aggregate.

Sampling frame The sampling frame used for KIHBS 2015/16 is the fifth National Sample Survey and Evaluation Program (NASSEP V) master frame developed from the Population and Housing Census (KPHC) conducted in

South Africa concentrated the largest amount of private wealth in Africa as of 2021, some 651 billion U.S. dollars. Egypt, Nigeria, Morocco, and Kenya followed, establishing the five wealthier markets in the continent. The wealth value referred to assets, such as cash, properties, and business interests, held by individuals living in each country, with liabilities discounted. Overall, Africa counted in the same year approximately 136,000 high net worth individuals (HNWIs), each with net assets of one million U.S. dollars or more.

 COVID-19 and wealth constraints  

Africa held 2.1 trillion U.S. dollars of total private wealth in 2021. The amount slightly increased in comparison to the previous year, when the coronavirus (COVID-19) pandemic led to job losses, drops in salaries, and the closure of many local businesses. However, compared to 2011, total private wealth in Africa declined 4.5 percent, constrained by poor performances in Angola, Egypt, and Nigeria. By 2031, however, the private wealth is expected to rise nearly 40 percent in the continent.

 The richest in Africa 

Besides 125 thousand millionaires, Africa counted 6,700 multimillionaires and 305 centimillionaires as of December 2021. Furthermore, there were 21 billionaires in the African continent, each with a wealth of one billion U.S. dollars and more. The richest person in Africa is the Nigerian Aliko Dangote. The billionaire is the founder and chairman of Dangote Cement, the largest cement producer on the whole continent. He also owns salt and sugar manufacturing companies.

Key information about Kenya Exchange Rate against USD

• Kenya Exchange Rate against USD averaged 137.240 (USD/KES) in May 2023, compared with 134.395 USD/KES in the previous month.
• Kenya Exchange Rate against USD data is updated monthly, available from Jan 1957 to May 2023.
• The data reached an all-time high of 137.240 in May 2023 and a record low of 6.900 in Dec 1973.

• In the latest reports, Kenya Short Term Interest Rate: Monthly Average: Treasury Bills Rate: 91 Days was reported at 9.760 % pa in Mar 2023.
• Its Long Term Interest Rate (Treasury Bonds Rate: 10 Years) was reported at 13.490 % pa in May 2022.
• The cash rate (Policy Rate: Month End: Central Bank Rediscount Rate) was set at 9.500 % pa in May 2023.

Kenya KE: Depository Corporations Survey: MFSM 2000: Securities Other Than Shares data was reported at 0.000 KES mn in 2017. This stayed constant from the previous number of 0.000 KES mn for 2016. Kenya KE: Depository Corporations Survey: MFSM 2000: Securities Other Than Shares data is updated yearly, averaging 0.208 KES mn from Dec 2001 (Median) to 2017, with 17 observations. The data reached an all-time high of 179.994 KES mn in 2005 and a record low of 0.000 KES mn in 2017. Kenya KE: Depository Corporations Survey: MFSM 2000: Securities Other Than Shares data remains active status in CEIC and is reported by International Monetary Fund. The data is categorized under Global Database’s Kenya – Table KE.IMF.IFS: Financial System: Monetary: Annual.