100.00% Increase in Peru's Prevalence of underweight, weight for age (% of children under 5) - The World Bank Report | 2021 | The Global Graph Skip to main content

100.00% Increase in Peru'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 : Peru

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

Peru a Latin America & Caribbean regioned country, is categorized as Upper 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.
  • 47
  • 56
  • 64
  • 68
  • 73
  • 76


Year
Peru Urban population (% of total population)
YearValues
196047
197056
198064
199068
200073
201076

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 : Peru Urban population is in Increasing trend
  • 4753664
  • 7372454
  • 10945723
  • 14805506
  • 18940925
  • 21951808


Year
Peru Urban population
YearValues
19604753664
19707372454
198010945723
199014805506
200018940925
201021951808

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 : Peru Urban population growth (annual %) is in Decreasing trend
  • 4
  • 5
  • 4
  • 3
  • 2
  • 1


Year
Peru Urban population growth (annual %)
YearValues
19604
19705
19804
19903
20002
20101

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 : Peru Population, total is in Increasing trend
  • 10155015
  • 13092852
  • 17113388
  • 21614193
  • 26078293
  • 28792655


Year
Peru Population, total
YearValues
196010155015
197013092852
198017113388
199021614193
200026078293
201028792655

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 : Peru Population growth (annual %) is in Decreasing trend
  • 3
  • 3
  • 3
  • 2
  • 2
  • 1


Year
Peru Population growth (annual %)
YearValues
19603
19703
19803
19902
20002
20101

Poverty headcount ratio at $1.90 a day is the percentage of the population living on less than $1.90 a day at 2011 international prices. As a result of revisions in PPP exchange rates, poverty rates for individual countries cannot be compared with poverty rates reported in earlier editions.

Data Source : World Bank, Development Research Group. Data are based on primary household survey data obtained from government statistical agencies and World Bank country departments. Data for high-income economies are from the Luxembourg Income Study database. For more information and methodology, please see PovcalNet (http://iresearch.worldbank.org/PovcalNet/index.htm).
Observation : Peru Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population) is in Decreasing trend
  • 0
  • 0
  • 0
  • 0
  • 18
  • 7


Year
Peru Poverty headcount ratio at $1.90 a day (2011 PPP) (% of population)
YearValues
19600
19700
19800
19900
200018
20107

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 : Peru Prevalence of underweight, weight for age (% of children under 5) is in Increasing trend
  • 0
  • 0
  • 0
  • 0
  • 0
  • 4


Year
Peru Prevalence of underweight, weight for age (% of children under 5)
YearValues
19600
19700
19800
19900
20000
20104

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 : Peru Mortality rate, under-5 (per 1,000 live births) is in Decreasing trend
  • 227
  • 169
  • 129
  • 85
  • 42
  • 21


Year
Peru Mortality rate, under-5 (per 1,000 live births)
YearValues
1960227
1970169
1980129
199085
200042
201021

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 : Peru Primary completion rate, total (% of relevant age group) is in Decreasing trend
  • 0
  • 0
  • 80
  • 0
  • 103
  • 102


Year
Peru Primary completion rate, total (% of relevant age group)
YearValues
19600
19700
198080
19900
2000103
2010102

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 : Peru School enrollment, primary and secondary (gross), gender parity index (GPI) is in Stable trend
  • 0
  • 0
  • 1
  • 0
  • 1
  • 1


Year
Peru School enrollment, primary and secondary (gross), gender parity index (GPI)
YearValues
19600
19700
19801
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 : Peru Agriculture, forestry, and fishing, value added (% of GDP) is in Decreasing trend
  • 19
  • 16
  • 10
  • 0
  • 8
  • 7


Year
Peru Agriculture, forestry, and fishing, value added (% of GDP)
YearValues
196019
197016
198010
19900
20008
20107

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 : Peru Population in urban agglomerations of more than 1 million (% of total population) is in Increasing trend
  • 17
  • 22
  • 25
  • 26
  • 27
  • 30


Year
Peru Population in urban agglomerations of more than 1 million (% of total population)
YearValues
196017
197022
198025
199026
200027
201030

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 : Peru Droughts, floods, extreme temperatures (% of population, average 1990-2009) is in Increasing trend
  • 0
  • 0
  • 0
  • 0
  • 0
  • 2


Year
Peru Droughts, floods, extreme temperatures (% of population, average 1990-2009)
YearValues
19600
19700
19800
19900
20000
20102

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 : Peru Nitrous oxide emissions (% change from 1990) is in Increasing trend
  • 0
  • 0
  • 0
  • 0
  • 20
  • 45


Year
Peru Nitrous oxide emissions (% change from 1990)
YearValues
19600
19700
19800
19900
200020
201045

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 : Peru Nitrous oxide emissions (thousand metric tons of CO2 equivalent) is in Increasing trend
  • 0
  • 0
  • 5713
  • 5876
  • 6716
  • 8127


Year
Peru Nitrous oxide emissions (thousand metric tons of CO2 equivalent)
YearValues
19600
19700
19805713
19905876
20006716
20108127

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 : Peru Methane emissions (% change from 1990) is in Increasing trend
  • 0
  • 0
  • 0
  • 0
  • 14
  • 32


Year
Peru Methane emissions (% change from 1990)
YearValues
19600
19700
19800
19900
200014
201032

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 : Peru Methane emissions (kt of CO2 equivalent) is in Increasing trend
  • 0
  • 0
  • 13550
  • 13844
  • 15529
  • 17913


Year
Peru Methane emissions (kt of CO2 equivalent)
YearValues
19600
19700
198013550
199013844
200015529
201017913

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 : Peru Total greenhouse gas emissions (% change from 1990) is in Increasing trend
  • 0
  • 0
  • 0
  • 0
  • 8
  • 9


Year
Peru Total greenhouse gas emissions (% change from 1990)
YearValues
19600
19700
19800
19900
20008
20109

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 : Peru Total greenhouse gas emissions (kt of CO2 equivalent) is in Increasing trend
  • 0
  • 0
  • 58834
  • 57775
  • 64302
  • 64753


Year
Peru Total greenhouse gas emissions (kt of CO2 equivalent)
YearValues
19600
19700
198058834
199057775
200064302
201064753

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 : Peru Other greenhouse gas emissions, HFC, PFC and SF6 (thousand metric tons of CO2 equivalent) is in Decreasing trend
  • 0
  • 0
  • 18261
  • 17240
  • 13007
  • -2788


Year
Peru Other greenhouse gas emissions, HFC, PFC and SF6 (thousand metric tons of CO2 equivalent)
YearValues
19600
19700
198018261
199017240
200013007
2010-2788

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 : Peru CO2 emissions from solid fuel consumption (% of total) is in Stable trend
  • 4
  • 5
  • 2
  • 3
  • 5
  • 5


Year
Peru CO2 emissions from solid fuel consumption (% of total)
YearValues
19604
19705
19802
19903
20005
20105

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 : Peru CO2 emissions from solid fuel consumption (kt) is in Increasing trend
  • 352
  • 748
  • 524
  • 689
  • 1412
  • 2695


Year
Peru CO2 emissions from solid fuel consumption (kt)
YearValues
1960352
1970748
1980524
1990689
20001412
20102695

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 : Peru CO2 emissions (metric tons per capita) is in Increasing trend
  • 1
  • 1
  • 1
  • 1
  • 1
  • 2


Year
Peru CO2 emissions (metric tons per capita)
YearValues
19601
19701
19801
19901
20001
20102

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 : Peru CO2 emissions from liquid fuel consumption (% of total) is in Decreasing trend
  • 91
  • 87
  • 83
  • 85
  • 84
  • 46


Year
Peru CO2 emissions from liquid fuel consumption (% of total)
YearValues
196091
197087
198083
199085
200084
201046

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 : Peru CO2 emissions from liquid fuel consumption (kt) is in Decreasing trend
  • 7400
  • 13282
  • 18570
  • 18570
  • 24569
  • 23685


Year
Peru CO2 emissions from liquid fuel consumption (kt)
YearValues
19607400
197013282
198018570
199018570
200024569
201023685

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 : Peru CO2 emissions (kt) is in Increasing trend
  • 8174
  • 15302
  • 22273
  • 21841
  • 29358
  • 51705


Year
Peru CO2 emissions (kt)
YearValues
19608174
197015302
198022273
199021841
200029358
201051705

Carbon dioxide emissions from liquid fuel consumption refer mainly to emissions from use of natural gas as an energy source.

Data Source : Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
Observation : Peru CO2 emissions from gaseous fuel consumption (% of total) is in Increasing trend
  • 2
  • 5
  • 4
  • 5
  • 5
  • 18


Year
Peru CO2 emissions from gaseous fuel consumption (% of total)
YearValues
19602
19705
19804
19905
20005
201018

Carbon dioxide emissions from liquid fuel consumption refer mainly to emissions from use of natural gas as an energy source.

Data Source : Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.
Observation : Peru CO2 emissions from gaseous fuel consumption (kt) is in Increasing trend
  • 125
  • 708
  • 924
  • 1078
  • 1481
  • 9395


Year
Peru CO2 emissions from gaseous fuel consumption (kt)
YearValues
1960125
1970708
1980924
19901078
20001481
20109395

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 : Peru CO2 intensity (kg per kg of oil equivalent energy use) is in Increasing trend
  • 0
  • 0
  • 2
  • 2
  • 2
  • 3


Year
Peru CO2 intensity (kg per kg of oil equivalent energy use)
YearValues
19600
19700
19802
19902
20002
20103

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 : Peru Energy use (kg of oil equivalent per capita) is in Increasing trend
  • 0
  • 0
  • 616
  • 465
  • 470
  • 547


Year
Peru Energy use (kg of oil equivalent per capita)
YearValues
19600
19700
1980616
1990465
2000470
2010547

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 : Peru Electric power consumption (kWh per capita) is in Increasing trend
  • 0
  • 0
  • 475
  • 547
  • 642
  • 1048


Year
Peru Electric power consumption (kWh per capita)
YearValues
19600
19700
1980475
1990547
2000642
20101048

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 : Peru Energy use (kg of oil equivalent) per $1,000 GDP (constant 2011 PPP) is in Decreasing trend
  • 0
  • 0
  • 0
  • 0
  • 74
  • 58


Year
Peru Energy use (kg of oil equivalent) per $1,000 GDP (constant 2011 PPP)
YearValues
19600
19700
19800
19900
200074
201058

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 : Peru Renewable energy consumption (% of total final energy consumption) is in Decreasing trend
  • 0
  • 0
  • 0
  • 0
  • 31
  • 28


Year
Peru Renewable energy consumption (% of total final energy consumption)
YearValues
19600
19700
19800
19900
200031
201028

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 : Peru Electricity production from renewable sources, excluding hydroelectric (% of total) is in Stable trend
  • 0
  • 0
  • 2
  • 1
  • 1
  • 1


Year
Peru Electricity production from renewable sources, excluding hydroelectric (% of total)
YearValues
19600
19700
19802
19901
20001
20101

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 : Peru Electricity production from renewable sources, excluding hydroelectric (kWh) is in Increasing trend
  • 0
  • 0
  • 163000000
  • 145000000
  • 140000000
  • 461000000


Year
Peru Electricity production from renewable sources, excluding hydroelectric (kWh)
YearValues
19600
19700
1980163000000
1990145000000
2000140000000
2010461000000

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 : Peru Renewable electricity output (% of total electricity output) is in Decreasing trend
  • 0
  • 0
  • 0
  • 0
  • 77
  • 61


Year
Peru Renewable electricity output (% of total electricity output)
YearValues
19600
19700
19800
19900
200077
201061

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 : Peru Electricity production from oil sources (% of total) is in Decreasing trend
  • 0
  • 0
  • 23
  • 21
  • 18
  • 5


Year
Peru Electricity production from oil sources (% of total)
YearValues
19600
19700
198023
199021
200018
20105

Sources of electricity refer to the inputs used to generate electricity. Gas refers to natural gas but excludes natural gas liquids.

Data Source : IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
Observation : Peru Electricity production from natural gas sources (% of total) is in Increasing trend
  • 0
  • 0
  • 3
  • 2
  • 4
  • 32


Year
Peru Electricity production from natural gas sources (% of total)
YearValues
19600
19700
19803
19902
20004
201032

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 : Peru Electricity production from hydroelectric sources (% of total) is in Decreasing trend
  • 0
  • 0
  • 72
  • 77
  • 76
  • 59


Year
Peru Electricity production from hydroelectric sources (% of total)
YearValues
19600
19700
198072
199077
200076
201059

Sources of electricity refer to the inputs used to generate electricity. Coal refers to all coal and brown coal, both primary (including hard coal and lignite-brown coal) and derived fuels (including patent fuel, coke oven coke, gas coke, coke oven gas, and blast furnace gas). Peat is also included in this category.

Data Source : IEA Statistics © OECD/IEA 2014 (http://www.iea.org/stats/index.asp), subject to https://www.iea.org/t&c/termsandconditions/
Observation : Peru Electricity production from coal sources (% of total) is in Increasing trend
  • 0
  • 0
  • 0
  • 0
  • 0
  • 2


Year
Peru Electricity production from coal sources (% of total)
YearValues
19600
19700
19800
19900
20000
20102

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 : Peru Access to electricity (% of population) is in Increasing trend
  • 0
  • 0
  • 0
  • 0
  • 74
  • 86


Year
Peru Access to electricity (% of population)
YearValues
19600
19700
19800
19900
200074
201086

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 : Peru Foreign direct investment, net inflows (% of GDP) is in Increasing trend
  • 0
  • 0
  • 0
  • 0
  • 4
  • 5


Year
Peru Foreign direct investment, net inflows (% of GDP)
YearValues
19600
19700
19800
19900
20004
20105

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 : Peru Cereal yield (kg per hectare) is in Increasing trend
  • 0
  • 1629
  • 1883
  • 2524
  • 3110
  • 3919


Year
Peru Cereal yield (kg per hectare)
YearValues
19600
19701629
19801883
19902524
20003110
20103919

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 : Peru Forest area (% of land area) is in Decreasing trend
  • 0
  • 0
  • 0
  • 0
  • 60
  • 59


Year
Peru Forest area (% of land area)
YearValues
19600
19700
19800
19900
200060
201059

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 : Peru Forest area (sq. km) is in Decreasing trend
  • 0
  • 0
  • 0
  • 0
  • 763244
  • 749544


Year
Peru Forest area (sq. km)
YearValues
19600
19700
19800
19900
2000763244
2010749544

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 : Peru Arable land (% of land area) is in Stable trend
  • 0
  • 2
  • 2
  • 3
  • 3
  • 3


Year
Peru Arable land (% of land area)
YearValues
19600
19702
19802
19903
20003
20103

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 : Peru Agricultural land (% of land area) is in Increasing trend
  • 0
  • 14
  • 15
  • 15
  • 18
  • 19


Year
Peru Agricultural land (% of land area)
YearValues
19600
197014
198015
199015
200018
201019

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 : Peru Agricultural land (sq. km) is in Increasing trend
  • 0
  • 178190
  • 186300
  • 189390
  • 228260
  • 239460


Year
Peru Agricultural land (sq. km)
YearValues
19600
1970178190
1980186300
1990189390
2000228260
2010239460


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