EarthTrends (http://earthtrends.wri.org) Searchable Database Results Provided by the World Resources Institute (http://www.wri.org) "Climate and Atmosphere -- Air Pollution: Carbon monoxide emissions" "Units: Thousand metric tons" ,,2000,1995,1990, World "World","",1076751.7,852414.7,841082.2, ,,2000,1995,1990, Region/Classification "Asia (excluding Middle East)","",302687.8,261514.9,251475.9, "Central America & Caribbean","",34528.9,24105.5,23566.5, "Europe","",87463.9,95924.6,138273.0, "Middle East & North Africa","",34676.1,31879.2,27239.9, "North America","",93198.3,142736.8,106913.5, "Oceania","",33949.2,18486.9,18205.3, "South America","",189179.5,100453.4,104827.8, "Sub-Saharan Africa","",301037.9,177267.9,170532.9, "Developed Countries","",237202.7,281005.5,291771.5, "Developing Countries","",840227.3,572313.2,551446.1, "High Income Countries","",175257.4,226923.8,195544.7, "Low Income Countries","",458409.0,292936.7,280699.3, "Middle Income Countries","",435990.8,329177.6,362163.6, ,,2000,1995,1990, Country "Afghanistan","AFG",1426.4,2412.8,1614.2, "Albania","ALB",283.0,258.6,244.6, "Algeria","DZA",2149.9,2193.8,2086.9, "American Samoa","ASM",3.5,3.2,3.1, "Andorra","AND",0.9,0.9,125.3, "Angola","AGO",32997.1,9486.9,9271.7, "Antigua and Barbuda","ATG",26.2,5.2,5.1, "Argentina","ARG",11684.9,4421.1,4392.8, "Armenia","ARM",165.3,83.0,563.2, "Aruba","ABW",5.1,4.0,4.1, "Australia","AUS",30071.9,15472.5,15419.7, "Austria","AUT",712.4,856.8,926.6, "Azerbaijan","AZE",201.7,253.4,898.2, "Bahamas","BHS",30.8,51.3,48.6, "Bahrain","BHR",297.8,143.0,101.5, "Bangladesh","BGD",9021.0,7514.3,7134.3, "Barbados","BRB",3.5,3.2,2.4, "Belarus","BLR",718.2,958.9,2192.9, "Belgium","BEL",1148.8,1484.2,1525.7, "Belize","BLZ",668.1,89.3,81.8, "Benin","BEN",2708.9,1198.0,1163.4, "Bermuda","BMU",2.7,2.6,2.6, "Bhutan","BTN",125.4,180.8,203.2, "Bolivia","BOL",16558.8,6760.1,6931.2, "Bosnia and Herzegovina","BIH",1166.9,402.6,213.0, "Botswana","BWA",2553.6,3921.8,3921.9, "Brazil","BRA",122231.0,61710.5,66104.5, "British Virgin Islands","VGB",105.5,89.6,80.4, "Brunei Darussalam","BRN",425.2,167.7,111.4, "Bulgaria","BGR",625.1,499.5,1178.4, "Burkina Faso","BFA",1907.8,2230.5,2128.8, "Burundi","BDI",614.7,529.3,502.6, "Cambodia","KHM",3085.5,2300.8,2093.9, "Cameroon","CMR",7434.8,3960.8,3803.6, "Canada","CAN",12050.5,52488.0,12475.2, "Cape Verde","CPV",33.2,30.0,27.5, "Cayman Islands","CYM",1.5,1.2,1.0, "Côte d'Ivoire","CIV",10937.0,2402.2,2470.3, "Central African Rep","CAF",17312.2,3804.9,3785.0, "Chad","TCD",4754.1,3755.8,3701.0, "Chile","CHL",2579.0,3334.9,2996.9, "China","CHN",88867.3,88447.7,85316.8, "Colombia","COL",9296.9,7006.8,7052.7, "Comoros","COM",50.7,48.6,44.6, "Congo","COG",3209.4,1334.7,1247.7, "Congo, Dem Rep","COD",44680.1,22792.0,22289.6, "Cook Islands","COK",1.5,1.5,1.5, "Costa Rica","CRI",554.5,658.4,666.5, "Croatia","HRV",597.9,518.0,589.5, "Cuba","CUB",1483.6,806.0,953.8, "Cyprus","CYP",105.5,91.1,90.6, "Czech Rep","CZE",1061.1,1178.9,1917.6, "Denmark","DNK",400.3,730.5,713.4, "Djibouti","DJI",38.1,173.6,170.9, "Dominica","DMA",6.6,6.5,7.2, "Dominican Rep","DOM",918.1,602.2,609.4, "Ecuador","ECU",1044.7,2988.5,3166.0, "Egypt","EGY",3652.7,3122.0,2980.4, "El Salvador","SLV",553.8,567.4,409.2, "Equatorial Guinea","GNQ",32.9,241.0,221.6, "Eritrea","ERI",209.7,595.9,578.7, "Estonia","EST",183.6,168.1,382.8, "Ethiopia","ETH",11392.6,7677.4,6879.0, "Faeroe Islands","FRO",0.6,0.6,0.6, "Falkland Islands","FLK",0.1,0.1,0.1, "Fiji","FJI",73.6,107.8,106.9, "Finland","FIN",654.9,902.1,872.2, "France","FRA",4580.4,8200.8,10179.8, "French Guiana","GUF",45.8,85.2,79.4, "Gabon","GAB",412.9,1521.0,1657.5, "Gambia","GMB",268.5,104.1,94.6, "Georgia","GEO",674.0,132.8,794.7, "Germany","DEU",6032.0,3214.9,7288.8, "Ghana","GHA",5237.0,2319.7,2227.1, "Gibraltar","GIB",8.1,6.0,3.8, "Greece","GRC",985.6,1525.7,1604.4, "Greenland","GRL",0.7,0.7,0.6, "Grenada","GRD",1.8,1.7,1.7, "Guadeloupe","GLP",34.9,41.0,36.1, "Guam","GUM",9.7,9.1,8.1, "Guatemala","GTM",4099.7,2023.0,1993.9, "Guinea","GIN",6282.8,2068.0,1988.3, "Guinea-Bissau","GNB",679.4,297.9,301.9, "Guyana","GUY",608.0,210.1,271.2, "Haiti","HTI",265.8,264.6,249.9, "Honduras","HND",1717.1,1459.8,1447.7, "Hong Kong","HKG",204.5,157.6,122.6, "Hungary","HUN",982.2,1344.7,1771.9, "Iceland","ISL",102.2,43.1,42.6, "India","IND",63843.8,55099.0,51118.6, "Indonesia","IDN",43277.7,28783.6,27458.2, "Iran, Islamic Rep","IRN",7365.8,6118.6,5222.9, "Iraq","IRQ",2008.3,1870.9,1885.4, "Ireland","IRL",351.6,514.6,608.9, "Israel","ISR",1087.2,994.5,774.9, "Italy","ITA",4752.6,7918.6,7511.2, "Jamaica","JAM",181.9,299.5,315.9, "Japan","JPN",11609.0,10915.0,10331.3, "Jordan","JOR",393.5,322.5,267.5, "Kazakhstan","KAZ",1746.9,1412.4,3582.7, "Kenya","KEN",3788.8,4338.7,4102.5, "Kiribati","KIR",5.4,5.4,4.8, "Korea, Dem People's Rep","PRK",1487.5,1638.4,1876.3, "Korea, Rep","KOR",6288.5,6208.0,5234.9, "Kuwait","KWT",599.3,597.7,451.5, "Kyrgyzstan","KGZ",131.7,126.3,451.4, "Lao People's Dem Rep","LAO",5842.9,1770.9,1643.8, "Latvia","LVA",407.3,200.1,333.7, "Lebanon","LBN",595.9,640.7,333.7, "Lesotho","LSO",317.1,152.0,136.2, "Liberia","LBR",1444.2,678.1,701.3, "Libyan Arab Jamahiriya","LBY",1033.1,935.8,718.1, "Liechtenstein","LIE",0.5,0.5,0.4, "Lithuania","LTU",634.8,487.1,1254.2, "Luxembourg","LUX",167.5,233.0,279.6, "Macau","MAC",19.5,19.3,17.5, "Macedonia, FYR","MKD",216.5,248.1,336.6, "Madagascar","MDG",7678.5,3305.1,3188.3, "Malawi","MWI",1928.4,1299.9,1267.7, "Malaysia","MYS",8730.3,10333.7,9285.8, "Maldives","MDV",17.1,15.8,13.5, "Mali","MLI",3129.7,4381.5,4276.9, "Malta","MLT",14.4,25.1,22.9, "Marshall Islands","MHL",0.1,0.1,0.1, "Martinique","MTQ",38.0,42.0,42.6, "Mauritania","MRT",312.9,784.5,768.0, "Mauritius","MUS",81.4,76.5,61.0, "Mexico","MEX",20595.1,13267.8,12987.1, "Micronesia, Fed States","FSM",0.2,0.2,0.4, "Moldova, Rep","MDA",224.6,215.5,801.5, "Monaco","MCO",0.6,0.6,0.5, "Mongolia","MNG",468.7,957.1,949.7, "Morocco","MAR",580.0,584.4,700.1, "Mozambique","MOZ",12361.3,7213.0,7047.7, "Myanmar","MMR",14697.1,6785.5,6627.0, "Namibia","NAM",1555.0,2428.8,2417.1, "Nauru","NRU",0.7,5.2,7.2, "Nepal","NPL",3184.8,2920.9,2592.4, "Netherlands","NLD",1096.8,1585.5,1464.2, "Netherlands Antilles","ANT",76.0,57.8,54.7, "New Caledonia","NCL",19.8,20.0,21.4, "New Zealand","NZL",516.5,706.8,602.8, "Nicaragua","NIC",1639.0,1973.3,1820.0, "Niger","NER",771.5,1885.1,1799.7, "Nigeria","NGA",26440.0,21423.8,19346.1, "Niue","NIU",0.1,0.2,0.3, "Northern Mariana Islands","MNP",0.4,0.4,0.4, "Norway","NOR",1642.9,1182.0,872.9, "Oman","OMN",446.6,357.1,269.9, "Pakistan","PAK",8612.8,8024.7,7121.3, "Palau","PLW",0.0,0.0,0.0, "Panama","PAN",726.7,888.2,854.5, "Papua New Guinea","PNG",3191.4,1978.9,1851.6, "Paraguay","PRY",6679.4,1420.5,1502.4, "Peru","PER",3501.2,3648.7,3874.8, "Philippines","PHL",4597.7,7731.8,7619.5, "Poland","POL",3855.6,5342.7,4763.5, "Portugal","PRT",566.1,2013.0,1592.9, "Puerto Rico","PRI",542.2,641.5,591.6, "Qatar","QAT",249.3,205.2,172.6, "Réunion","REU",91.9,85.1,73.8, "Romania","ROU",2070.3,1395.0,2297.5, "Russian Federation","RUS",27893.6,18967.1,40228.9, "Rwanda","RWA",1361.8,854.5,1116.8, "Saint Helena","SHN",0.4,0.4,0.5, "Saint Kitts and Nevis","KNA",2.5,2.5,2.6, "Saint Pierre and Miquelon","SPM",3437.7,0.0,0.0, "San Marino","SMR",0.1,0.1,0.1, "Sao Tome & Principe","STP",9.9,9.2,8.3, "Saudi Arabia","SAU",4805.4,4061.7,3152.3, "Senegal","SEN",1668.1,1767.0,1747.7, "Serbia and Montenegro","YUG",827.1,408.8,825.9, "Seychelles","SYC",9.8,9.2,7.8, "Sierra Leone","SLE",2675.0,1380.5,1290.5, "Singapore","SGP",286.0,270.3,190.0, "Slovakia","SVK",486.0,580.9,753.5, "Slovenia","SVN",360.0,481.8,389.1, "Solomon Islands","SLB",29.9,68.5,66.8, "Somalia","SOM",967.0,2697.6,2648.9, "South Africa","ZAF",10665.3,8954.4,8016.1, "Spain","ESP",2610.1,4932.9,5587.9, "Sri Lanka","LKA",1340.4,1225.8,1183.6, "St. Lucia","LCA",4.6,5.7,6.3, "St. Vincent & Grenadines","VCT",9.8,9.4,10.1, "Sudan","SDN",24329.4,14383.1,14132.1, "Suriname","SUR",421.7,240.2,245.2, "Swaziland","SWZ",182.1,75.4,68.0, "Sweden","SWE",715.5,1259.6,1286.2, "Switzerland","CHE",649.1,825.3,885.4, "Syrian Arab Rep","SYR",1146.4,1024.2,954.7, "Taiwan","TWN",3467.8,3189.9,2500.4, "Tajikistan","TJK",337.3,527.3,459.0, "Tanzania","TZA",17841.5,12946.7,12378.7, "Thailand","THA",9838.7,5578.9,5181.5, "Timor-Leste","TMP",41.5,50.7,46.0, "Togo","TGO",1906.8,882.8,851.0, "Tonga","TON",8.1,8.2,8.7, "Trinidad and Tobago","TTO",183.3,194.7,240.4, "Tunisia","TUN",591.9,487.8,440.0, "Turkey","TUR",3826.8,4465.3,3985.3, "Turkmenistan","TKM",311.7,321.0,524.4, "Turks and Caicos Islands","TCA",42.5,38.2,33.0, "Uganda","UGA",4321.9,3356.9,3138.6, "Ukraine","UKR",13276.0,16206.9,24690.9, "United Arab Emirates","ARE",854.5,644.1,539.8, "United Kingdom","GBR",4400.1,8604.9,9710.7, "United States","USA",77706.7,90245.5,94435.1, "Uruguay","URY",391.5,326.2,242.9, "Uzbekistan","UZB",1744.9,1489.1,1976.9, "Vanuatu","VUT",16.4,98.9,101.5, "Venezuela","VEN",14136.5,8300.5,7967.7, "Viet Nam","VNM",7993.6,6881.4,6251.9, "Virgin Islands","VIR",10.7,10.5,8.9, "Western Sahara","",14.0,11.6,9.9, "Yemen","YEM",1445.8,594.4,487.7, "Zambia","ZMB",17326.0,7417.3,7525.6, "Zimbabwe","ZWE",4124.7,3986.7,3938.7, Footnotes No footnotes Source "The Netherlands National Institute for Public Health and the Environment/The Netherlands Environmental Assessment Agency (RIVM/MNP) and the Netherlands Organization for Applied Scientific Research (TNO). 2005 and 2001. The Emission Database for Global Atmospheric Research (EDGAR) 3.2 Fast Track 2000 and 3.2. Precursors: CO (Carbon Monoxide): Extended Emissions 2000 and Aggregated Emissions 1990/1995. The Netherlands: RIVM. Electronic database available online at: http://www.mnp.nl/edgar/. " Technical Notes "Definition:" "Carbon monoxide (CO) is a precursor gas of ground-level ozone, which can trigger serious respiratory problems. In addition, when CO enters the bloodstream it reduces the delivery of oxygen to the body's organs and tissues. Exposure to elevated CO levels can cause impairment of visual perception, manual dexterity, learning ability, and performance of complex tasks. CO is formed when carbon in fuel is incompletely burned and it is a component of motor vehicle exhaust. Other sources of CO emissions include industrial processes (such as metals processing and chemical manufacturing), residential wood burning, stoves, and natural sources such as forest fires." "" "Years Covered and Frequency of Update:" "The Emission Database for Global Atmospheric Research (EDGAR) reports CO data for 1990, 1995, and 2000. Updates of emissions data largely depend on the availability of the international statistics utilized in emissions estimations. However, with the implementation of the ‘Fast Track’ model methodology (see below), EDGAR emissions data may be updated annually in the future. " "" "Methodology:" "To produce 1990 and 1995 emissions estimates, the Netherlands National Institute of Public Health and the Environment (RIVM) and the Netherlands Organization for Applied Scientific Research (TNO) gather data on greenhouse gases and atmospheric pollutants from numerous disparate sources such as national and international organizations, independent research institutes, and the scientific literature. The data are then compiled into complete sets of regional and country-level emissions estimates for the EDGAR database. Although here we present only the total emissions values for each country, original data in the EDGAR database also includes country-level totals for individual emission source types." "" "To ensure a consistent approach across countries, RIVM obtains activity data from a variety of international statistical data sources (IEA, UN, FAO, OLADE, etc.) and selects emission factors from international publications (Intergovernmental Panel on Climate Change (IPCC) Guidelines, US-EPA reports, etc.)." "" "For example, emissions production data for industrial processes are based on UN Industrial Commodity Statistics, supplemented with data from the USGS, SRI, FAO, and AFEAS, as well as selected publications. For some nations, interpolations and extrapolations are necessary to arrive at complete time series, with special attention given to new Economies in Transition countries to match the older totals for the former countries. Emission factors for CO2, CH4, and N20 are described in Olivier et al. (1999), “Sectoral Emissions Inventories”, published in Environmental Science & Policy, but those for nitric acid production are based on IPCC Guidelines. For further information on variables and collection methodologies, refer to the documentation provided by the EDGAR site at: http://www.mnp.nl/edgar/documentation/methodology/" "" "Year 2000 data are based on 1995 estimates and made using trend analysis at the country level for each standard source category. Please also note that in some instances the EDGAR 3.2 Fast Track 2000 dataset incorporates additional sector sources not present in the 1990 and 1995 datasets. Assignment of activity data and emission factors follow a similar protocol to that of EDGAR 3.2. One noteworthy exception: for some biomass burning sources, 1997-2001 average activity data with EDGAR 3.2 emission factors are incorporated. In general, any changes to emission factors are based on available country-level emission reduction information taken from the National Inventory Reports to the United Nations Framework Convention on Climate Change (UNFCCC). The full documentation of the EDGAR 3.2 Fast Track 2000 dataset, including caveats, can be found here. " "" "Data Reliability:" "Data used in EDGAR are taken from the best possible international information sources, however it is stressed that the uncertainties in the resulting datasets may be substantial at the country level, especially for methane and nitrous oxide. These uncertainties are due to the limited accuracy of international activity data and, in particular, the emission factors utilized in calculating emissions at the national level. Data presented, however, do provide a reliable dataset for comparability since EDGAR employs methods that are comparable to IPCC methodologies and has global totals that agree with budgets used in other atmospheric studies." "" "In addition to the data reliability issues described above, please see the “Uncertainties” and “Disclaimer” sections of the EDGAR website for more information regarding the various nuances of this dataset."