100.00% Increase in Kenya's Prevalence of underweight, weight for age (% of children under 5) - The World Bank Report | 2020 | The Global Graph Skip to main content

100.00% Increase in Kenya's Prevalence of underweight, weight for age (% of children under 5) - The World Bank Report

Last Update: This Article was Last updated on | Published by : | Category : Kenya

Highlights of this Analysis on Kenya (Comparison 2010 vs 2018) :

Kenya a Sub-Saharan Africa regioned country, is categorized as Lower middle income country by United Nations. These below are few data elements published by The World Bank impacting overall Climate Change.

Climate change is an acute threat to global development and efforts to end poverty. Without urgent action, climate change impacts could push an additional 100 million people into poverty by 2030.Countries and communities around the world are already experiencing increased climate change impacts – including droughts, floods, more intense and frequent natural disasters, and sea-level rise – and the poorest and most vulnerable are being hit the hardest.

This Article is about Climate Change

Urban population refers to people living in urban areas as defined by national statistical offices. The data are collected and smoothed by United Nations Population Division.

Data Source : United Nations Population Division. World Urbanization Prospects: 2018 Revision.
  • 7
  • 10
  • 15
  • 16
  • 20
  • 23


Year
Kenya Urban population (% of total population)
YearValues
19607
197010
198015
199016
200020
201023

Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects. Aggregation of urban and rural population may not add up to total population because of different country coverages.

Data Source : World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.
Observation : Kenya Urban population is in Increasing trend
  • 597800
  • 1074701
  • 2433015
  • 3780850
  • 6079807
  • 9482262


Year
Kenya Urban population
YearValues
1960597800
19701074701
19802433015
19903780850
20006079807
20109482262

Urban population refers to people living in urban areas as defined by national statistical offices. It is calculated using World Bank population estimates and urban ratios from the United Nations World Urbanization Prospects.

Data Source : World Bank staff estimates based on the United Nations Population Division's World Urbanization Prospects: 2018 Revision.
Observation : Kenya Urban population growth (annual %) is in Stable trend
  • 6
  • 7
  • 8
  • 4
  • 4
  • 4


Year
Kenya Urban population growth (annual %)
YearValues
19606
19707
19808
19904
20004
20104

Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.

Data Source : (1) United Nations Population Division. World Population Prospects: 2019 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.
Observation : Kenya Population, total is in Increasing trend
  • 8120080
  • 10910675
  • 15797776
  • 22935092
  • 31098757
  • 40901792


Year
Kenya Population, total
YearValues
19608120080
197010910675
198015797776
199022935092
200031098757
201040901792

Annual population growth rate for year t is the exponential rate of growth of midyear population from year t-1 to t, expressed as a percentage . Population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship.

Data Source : Derived from total population. Population source: (1) United Nations Population Division. World Population Prospects: 2019 Revision, (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.
Observation : Kenya Population growth (annual %) is in Stable trend
  • 3
  • 3
  • 4
  • 3
  • 3
  • 3


Year
Kenya Population growth (annual %)
YearValues
19603
19703
19804
19903
20003
20103

Prevalence of underweight children is the percentage of children under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's child growth standards released in 2006.

Data Source : UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.
Observation : Kenya Prevalence of underweight, weight for age (% of children under 5) is in Increasing trend
  • 0
  • 0
  • 0
  • 0
  • 0
  • 16


Year
Kenya Prevalence of underweight, weight for age (% of children under 5)
YearValues
19600
19700
19800
19900
20000
201016

Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year.

Data Source : Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.
Observation : Kenya Mortality rate, under-5 (per 1,000 live births) is in Decreasing trend
  • 197
  • 153
  • 113
  • 101
  • 108
  • 61


Year
Kenya Mortality rate, under-5 (per 1,000 live births)
YearValues
1960197
1970153
1980113
1990101
2000108
201061

Primary completion rate, or gross intake ratio to the last grade of primary education, is the number of new entrants (enrollments minus repeaters) in the last grade of primary education, regardless of age, divided by the population at the entrance age for the last grade of primary education. Data limitations preclude adjusting for students who drop out during the final year of primary education.

Data Source : UNESCO Institute for Statistics (http://uis.unesco.org/)
Observation : Kenya Primary completion rate, total (% of relevant age group) is in Stable trend
  • 0
  • 0
  • 89
  • 0
  • 0
  • 0


Year
Kenya Primary completion rate, total (% of relevant age group)
YearValues
19600
19700
198089
19900
20000
20100

Gender parity index for gross enrollment ratio in primary and secondary education is the ratio of girls to boys enrolled at primary and secondary levels in public and private schools.

Data Source : UNESCO Institute for Statistics (http://uis.unesco.org/)
Observation : Kenya School enrollment, primary and secondary (gross), gender parity index (GPI) is in Stable trend
  • 0
  • 0
  • 0
  • 0
  • 1
  • 1


Year
Kenya School enrollment, primary and secondary (gross), gender parity index (GPI)
YearValues
19600
19700
19800
19900
20001
20101

Agriculture corresponds to ISIC divisions 1-5 and includes forestry, hunting, and fishing, as well as cultivation of crops and livestock production. 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 or 4.

Data Source : World Bank national accounts data, and OECD National Accounts data files.
Observation : Kenya Agriculture, forestry, and fishing, value added (% of GDP) is in Decreasing trend
  • 35
  • 31
  • 30
  • 26
  • 29
  • 23


Year
Kenya Agriculture, forestry, and fishing, value added (% of GDP)
YearValues
196035
197031
198030
199026
200029
201023

The public sector management and institutions cluster includes property rights and rule-based governance, quality of budgetary and financial management, efficiency of revenue mobilization, quality of public administration, and transparency, accountability, and corruption in the public sector.

Data Source : World Bank Group, CPIA database (http://www.worldbank.org/ida).
Observation : Kenya CPIA public sector management and institutions cluster average (1=low to 6=high) is in Increasing trend
  • 0
  • 0
  • 0
  • 0
  • 0
  • 3


Year
Kenya CPIA public sector management and institutions cluster average (1=low to 6=high)
YearValues
19600
19700
19800
19900
20000
20103

Population in urban agglomerations of more than one million is the percentage of a country's population living in metropolitan areas that in 2018 had a population of more than one million people.

Data Source : United Nations, World Urbanization Prospects.
Observation : Kenya Population in urban agglomerations of more than 1 million (% of total population) is in Increasing trend
  • 6
  • 7
  • 7
  • 8
  • 9
  • 10


Year
Kenya Population in urban agglomerations of more than 1 million (% of total population)
YearValues
19606
19707
19807
19908
20009
201010

Droughts, floods and extreme temperatures is the annual average percentage of the population that is affected by natural disasters classified as either droughts, floods, or extreme temperature events. A drought is an extended period of time characterized by a deficiency in a region's water supply that is the result of constantly below average precipitation. A drought can lead to losses to agriculture, affect inland navigation and hydropower plants, and cause a lack of drinking water and famine. A flood is a significant rise of water level in a stream, lake, reservoir or coastal region. Extreme temperature events are either cold waves or heat waves. A cold wave can be both a prolonged period of excessively cold weather and the sudden invasion of very cold air over a large area. Along with frost it can cause damage to agriculture, infrastructure, and property. A heat wave is a prolonged period of excessively hot and sometimes also humid weather relative to normal climate patterns of a certain region. Population affected is the number of people injured, left homeless or requiring immediate assistance during a period of emergency resulting from a natural disaster; it can also include displaced or evacuated people. Average percentage of population affected is calculated by dividing the sum of total affected for the period stated by the sum of the annual population figures for the period stated.

Data Source : EM-DAT: The OFDA/CRED International Disaster Database: www.emdat.be, Université Catholique de Louvain, Brussels (Belgium), World Bank.
Observation : Kenya Droughts, floods, extreme temperatures (% of population, average 1990-2009) is in Increasing trend
  • 0
  • 0
  • 0
  • 0
  • 0
  • 6


Year
Kenya Droughts, floods, extreme temperatures (% of population, average 1990-2009)
YearValues
19600
19700
19800
19900
20000
20106

Nitrous oxide emissions are emissions from agricultural biomass burning, industrial activities, and livestock management. Each year of data shows the percentage change to that year from 1990.

Data Source : World Bank staff estimates from original source: European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/.
Observation : Kenya Nitrous oxide emissions (% change from 1990) is in Increasing trend
  • 0
  • 0
  • 0
  • 0
  • 6
  • 29


Year
Kenya Nitrous oxide emissions (% change from 1990)
YearValues
19600
19700
19800
19900
20006
201029

Nitrous oxide emissions are emissions from agricultural biomass burning, industrial activities, and livestock management.

Data Source : European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/
Observation : Kenya Nitrous oxide emissions (thousand metric tons of CO2 equivalent) is in Increasing trend
  • 0
  • 0
  • 7131
  • 9128
  • 9807
  • 12012


Year
Kenya Nitrous oxide emissions (thousand metric tons of CO2 equivalent)
YearValues
19600
19700
19807131
19909128
20009807
201012012

Methane emissions are those stemming from human activities such as agriculture and from industrial methane production. Each year of data shows the percentage change to that year from 1990.

Data Source : World Bank staff estimates from original source: European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/.
Observation : Kenya Methane emissions (% change from 1990) is in Increasing trend
  • 0
  • 0
  • 0
  • 0
  • 14
  • 35


Year
Kenya Methane emissions (% change from 1990)
YearValues
19600
19700
19800
19900
200014
201035

Methane emissions are those stemming from human activities such as agriculture and from industrial methane production.

Data Source : European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/
Observation : Kenya Methane emissions (kt of CO2 equivalent) is in Increasing trend
  • 0
  • 0
  • 15529
  • 19883
  • 23129
  • 27437


Year
Kenya Methane emissions (kt of CO2 equivalent)
YearValues
19600
19700
198015529
199019883
200023129
201027437

Total greenhouse gas emissions are composed of CO2 totals excluding short-cycle biomass burning (such as agricultural waste burning and Savannah burning) but including other biomass burning (such as forest fires, post-burn decay, peat fires and decay of drained peatlands), all anthropogenic CH4 sources, N2O sources and F-gases (HFCs, PFCs and SF6). Each year of data shows the percentage change to that year from 1990.

Data Source : World Bank staff estimates from original source: European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/.
Observation : Kenya Total greenhouse gas emissions (% change from 1990) is in Increasing trend
  • 0
  • 0
  • 0
  • 0
  • 21
  • 35


Year
Kenya Total greenhouse gas emissions (% change from 1990)
YearValues
19600
19700
19800
19900
200021
201035

Total greenhouse gas emissions in kt of CO2 equivalent are composed of CO2 totals excluding short-cycle biomass burning (such as agricultural waste burning and Savannah burning) but including other biomass burning (such as forest fires, post-burn decay, peat fires and decay of drained peatlands), all anthropogenic CH4 sources, N2O sources and F-gases (HFCs, PFCs and SF6).

Data Source : European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR), EDGARv4.2 FT2012: http://edgar.jrc.ec.europa.eu/
Observation : Kenya Total greenhouse gas emissions (kt of CO2 equivalent) is in Increasing trend
  • 0
  • 0
  • 29484
  • 38381
  • 46998
  • 52548


Year
Kenya Total greenhouse gas emissions (kt of CO2 equivalent)
YearValues
19600
19700
198029484
199038381
200046998
201052548

Other greenhouse gas emissions are by-product emissions of hydrofluorocarbons, perfluorocarbons, and sulfur hexafluoride. Each year of data shows the percentage change to that year from 1990.

Data Source : World Bank staff estimates from original source: European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/.
Observation : Kenya Other greenhouse gas emissions (% change from 1990) is in Decreasing trend
  • 0
  • 0
  • 0
  • 0
  • 141
  • -30


Year
Kenya Other greenhouse gas emissions (% change from 1990)
YearValues
19600
19700
19800
19900
2000141
2010-30

Other greenhouse gas emissions are by-product emissions of hydrofluorocarbons, perfluorocarbons, and sulfur hexafluoride.

Data Source : World Bank staff estimates from original source: European Commission, Joint Research Centre (JRC)/Netherlands Environmental Assessment Agency (PBL). Emission Database for Global Atmospheric Research (EDGAR): http://edgar.jrc.ec.europa.eu/.
Observation : Kenya Other greenhouse gas emissions, HFC, PFC and SF6 (thousand metric tons of CO2 equivalent) is in Decreasing trend
  • 0
  • 0
  • 2001
  • 2851
  • 6416
  • 904


Year
Kenya Other greenhouse gas emissions, HFC, PFC and SF6 (thousand metric tons of CO2 equivalent)
YearValues
19600
19700
19802001
19902851
20006416
2010904

Carbon dioxide emissions from solid fuel consumption refer mainly to emissions from use of coal as an energy source.

Data Source : Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
Observation : Kenya CO2 emissions from solid fuel consumption (% of total) is in Increasing trend
  • 5
  • 3
  • 1
  • 7
  • 2
  • 3


Year
Kenya CO2 emissions from solid fuel consumption (% of total)
YearValues
19605
19703
19801
19907
20002
20103

Carbon dioxide emissions from solid fuel consumption refer mainly to emissions from use of coal as an energy source.

Data Source : Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
Observation : Kenya CO2 emissions from solid fuel consumption (kt) is in Increasing trend
  • 114
  • 84
  • 44
  • 352
  • 194
  • 367


Year
Kenya CO2 emissions from solid fuel consumption (kt)
YearValues
1960114
197084
198044
1990352
2000194
2010367

Carbon dioxide emissions from liquid fuel consumption refer mainly to emissions from use of petroleum-derived fuels as an energy source.

Data Source : Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
Observation : Kenya CO2 emissions from liquid fuel consumption (% of total) is in Decreasing trend
  • 88
  • 87
  • 91
  • 82
  • 91
  • 84


Year
Kenya CO2 emissions from liquid fuel consumption (% of total)
YearValues
196088
197087
198091
199082
200091
201084

Carbon dioxide emissions from liquid fuel consumption refer mainly to emissions from use of petroleum-derived fuels as an energy source.

Data Source : Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
Observation : Kenya CO2 emissions from liquid fuel consumption (kt) is in Increasing trend
  • 2142
  • 2725
  • 4573
  • 4235
  • 9259
  • 10326


Year
Kenya CO2 emissions from liquid fuel consumption (kt)
YearValues
19602142
19702725
19804573
19904235
20009259
201010326

Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.

Data Source : Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
Observation : Kenya CO2 emissions (kt) is in Increasing trend
  • 2428
  • 3132
  • 5038
  • 5192
  • 10172
  • 12350


Year
Kenya CO2 emissions (kt)
YearValues
19602428
19703132
19805038
19905192
200010172
201012350

Carbon dioxide emissions are those stemming from the burning of fossil fuels and the manufacture of cement. They include carbon dioxide produced during consumption of solid, liquid, and gas fuels and gas flaring.

Data Source : Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
Observation : Kenya CO2 emissions (kg per 2010 US$ of GDP) is in Stable trend
  • 1
  • 0
  • 0
  • 0
  • 0
  • 0


Year
Kenya CO2 emissions (kg per 2010 US$ of GDP)
YearValues
19601
19700
19800
19900
20000
20100

Carbon dioxide emissions from solid fuel consumption refer mainly to emissions from use of coal as an energy source.

Data Source : Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
Observation : Kenya CO2 intensity (kg per kg of oil equivalent energy use) is in Stable trend
  • 0
  • 0
  • 1
  • 0
  • 1
  • 1


Year
Kenya CO2 intensity (kg per kg of oil equivalent energy use)
YearValues
19600
19700
19801
19900
20001
20101

Energy use refers to use of primary energy before transformation to other end-use fuels, which is equal to indigenous production plus imports and stock changes, minus exports and fuels supplied to ships and aircraft engaged in international transport.

Data Source : IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
Observation : Kenya Energy use (kg of oil equivalent per capita) is in Increasing trend
  • 0
  • 0
  • 450
  • 457
  • 435
  • 457


Year
Kenya Energy use (kg of oil equivalent per capita)
YearValues
19600
19700
1980450
1990457
2000435
2010457

Electric power consumption measures the production of power plants and combined heat and power plants less transmission, distribution, and transformation losses and own use by heat and power plants.

Data Source : IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
Observation : Kenya Electric power consumption (kWh per capita) is in Increasing trend
  • 0
  • 0
  • 104
  • 120
  • 117
  • 140


Year
Kenya Electric power consumption (kWh per capita)
YearValues
19600
19700
1980104
1990120
2000117
2010140

Energy use per PPP GDP is the kilogram of oil equivalent of energy use per constant PPP GDP. Energy use refers to use of primary energy before transformation to other end-use fuels, which is equal to indigenous production plus imports and stock changes, minus exports and fuels supplied to ships and aircraft engaged in international transport. PPP GDP is gross domestic product converted to 2011 constant international dollars using purchasing power parity rates. An international dollar has the same purchasing power over GDP as a U.S. dollar has in the United States.

Data Source : IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
Observation : Kenya Energy use (kg of oil equivalent) per $1,000 GDP (constant 2011 PPP) is in Decreasing trend
  • 0
  • 0
  • 0
  • 0
  • 203
  • 198


Year
Kenya Energy use (kg of oil equivalent) per $1,000 GDP (constant 2011 PPP)
YearValues
19600
19700
19800
19900
2000203
2010198

Renewable energy consumption is the share of renewables energy in total final energy consumption.

Data Source : World Bank, Sustainable Energy for All (SE4ALL) database from the SE4ALL Global Tracking Framework led jointly by the World Bank, International Energy Agency, and the Energy Sector Management Assistance Program.
Observation : Kenya Renewable energy consumption (% of total final energy consumption) is in Decreasing trend
  • 0
  • 0
  • 0
  • 0
  • 79
  • 78


Year
Kenya Renewable energy consumption (% of total final energy consumption)
YearValues
19600
19700
19800
19900
200079
201078

Electricity production from renewable sources, excluding hydroelectric, includes geothermal, solar, tides, wind, biomass, and biofuels.

Data Source : IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
Observation : Kenya Electricity production from renewable sources, excluding hydroelectric (% of total) is in Increasing trend
  • 0
  • 0
  • 8
  • 17
  • 11
  • 23


Year
Kenya Electricity production from renewable sources, excluding hydroelectric (% of total)
YearValues
19600
19700
19808
199017
200011
201023

Electricity production from renewable sources, excluding hydroelectric, includes geothermal, solar, tides, wind, biomass, and biofuels.

Data Source : IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
Observation : Kenya Electricity production from renewable sources, excluding hydroelectric (kWh) is in Increasing trend
  • 0
  • 0
  • 135000000
  • 518000000
  • 505000000
  • 1576000000


Year
Kenya Electricity production from renewable sources, excluding hydroelectric (kWh)
YearValues
19600
19700
1980135000000
1990518000000
2000505000000
20101576000000

Renewable electricity is the share of electrity generated by renewable power plants in total electricity generated by all types of plants.

Data Source : IEA Statistics © OECD/IEA 2018 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
Observation : Kenya Renewable electricity output (% of total electricity output) is in Decreasing trend
  • 0
  • 0
  • 0
  • 0
  • 66
  • 55


Year
Kenya Renewable electricity output (% of total electricity output)
YearValues
19600
19700
19800
19900
200066
201055

Sources of electricity refer to the inputs used to generate electricity. Oil refers to crude oil and petroleum products.

Data Source : IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
Observation : Kenya Electricity production from oil sources (% of total) is in Increasing trend
  • 0
  • 0
  • 15
  • 4
  • 34
  • 45


Year
Kenya Electricity production from oil sources (% of total)
YearValues
19600
19700
198015
19904
200034
201045

Sources of electricity refer to the inputs used to generate electricity. Hydropower refers to electricity produced by hydroelectric power plants.

Data Source : IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
Observation : Kenya Electricity production from hydroelectric sources (% of total) is in Decreasing trend
  • 0
  • 0
  • 77
  • 80
  • 55
  • 32


Year
Kenya Electricity production from hydroelectric sources (% of total)
YearValues
19600
19700
198077
199080
200055
201032

Access to electricity is the percentage of population with access to electricity. Electrification data are collected from industry, national surveys and international sources.

Data Source : World Bank, Sustainable Energy for All (SE4ALL) database from the SE4ALL Global Tracking Framework led jointly by the World Bank, International Energy Agency, and the Energy Sector Management Assistance Program.
Observation : Kenya Access to electricity (% of population) is in Increasing trend
  • 0
  • 0
  • 0
  • 0
  • 13
  • 23


Year
Kenya Access to electricity (% of population)
YearValues
19600
19700
19800
19900
200013
201023

Foreign direct investment are the net inflows of investment to acquire a lasting management interest (10 percent or more of voting stock) in an enterprise operating in an economy other than that of the investor. It is the sum of equity capital, reinvestment of earnings, other long-term capital, and short-term capital as shown in the balance of payments. This series shows net inflows (new investment inflows less disinvestment) in the reporting economy from foreign investors, and is divided by GDP.

Data Source : International Monetary Fund, International Financial Statistics and Balance of Payments databases, World Bank, International Debt Statistics, and World Bank and OECD GDP estimates.
Observation : Kenya Foreign direct investment, net inflows (% of GDP) is in Stable trend
  • 0
  • 0
  • 1
  • 1
  • 0
  • 0


Year
Kenya Foreign direct investment, net inflows (% of GDP)
YearValues
19600
19700
19801
19901
20000
20100

Cereal yield, measured as kilograms per hectare of harvested land, includes wheat, rice, maize, barley, oats, rye, millet, sorghum, buckwheat, and mixed grains. Production data on cereals relate to crops harvested for dry grain only. Cereal crops harvested for hay or harvested green for food, feed, or silage and those used for grazing are excluded. The FAO allocates production data to the calendar year in which the bulk of the harvest took place. Most of a crop harvested near the end of a year will be used in the following year.

Data Source : Food and Agriculture Organization, electronic files and web site.
Observation : Kenya Cereal yield (kg per hectare) is in Decreasing trend
  • 0
  • 1303
  • 1283
  • 1723
  • 1428
  • 1243


Year
Kenya Cereal yield (kg per hectare)
YearValues
19600
19701303
19801283
19901723
20001428
20101243

Forest area is land under natural or planted stands of trees of at least 5 meters in situ, whether productive or not, and excludes tree stands in agricultural production systems (for example, in fruit plantations and agroforestry systems) and trees in urban parks and gardens.

Data Source : Food and Agriculture Organization, electronic files and web site.
Observation : Kenya Forest area (% of land area) is in Increasing trend
  • 0
  • 0
  • 0
  • 0
  • 6
  • 7


Year
Kenya Forest area (% of land area)
YearValues
19600
19700
19800
19900
20006
20107

Forest area is land under natural or planted stands of trees of at least 5 meters in situ, whether productive or not, and excludes tree stands in agricultural production systems (for example, in fruit plantations and agroforestry systems) and trees in urban parks and gardens.

Data Source : Food and Agriculture Organization, electronic files and web site.
Observation : Kenya Forest area (sq. km) is in Increasing trend
  • 0
  • 0
  • 0
  • 0
  • 36737
  • 41934


Year
Kenya Forest area (sq. km)
YearValues
19600
19700
19800
19900
200036737
201041934

Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded.

Data Source : Food and Agriculture Organization, electronic files and web site.
Observation : Kenya Arable land (% of land area) is in Increasing trend
  • 0
  • 6
  • 7
  • 9
  • 9
  • 10


Year
Kenya Arable land (% of land area)
YearValues
19600
19706
19807
19909
20009
201010

Agricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Land under permanent crops is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines, but excludes land under trees grown for wood or timber. Permanent pasture is land used for five or more years for forage, including natural and cultivated crops.

Data Source : Food and Agriculture Organization, electronic files and web site.
Observation : Kenya Agricultural land (% of land area) is in Increasing trend
  • 0
  • 44
  • 45
  • 48
  • 47
  • 48


Year
Kenya Agricultural land (% of land area)
YearValues
19600
197044
198045
199048
200047
201048

Agricultural land refers to the share of land area that is arable, under permanent crops, and under permanent pastures. Arable land includes land defined by the FAO as land under temporary crops (double-cropped areas are counted once), temporary meadows for mowing or for pasture, land under market or kitchen gardens, and land temporarily fallow. Land abandoned as a result of shifting cultivation is excluded. Land under permanent crops is land cultivated with crops that occupy the land for long periods and need not be replanted after each harvest, such as cocoa, coffee, and rubber. This category includes land under flowering shrubs, fruit trees, nut trees, and vines, but excludes land under trees grown for wood or timber. Permanent pasture is land used for five or more years for forage, including natural and cultivated crops.

Data Source : Food and Agriculture Organization, electronic files and web site.
Observation : Kenya Agricultural land (sq. km) is in Increasing trend
  • 0
  • 252400
  • 255800
  • 270530
  • 268760
  • 272850


Year
Kenya Agricultural land (sq. km)
YearValues
19600
1970252400
1980255800
1990270530
2000268760
2010272850


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