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Republic of Macedonia

Republic of Macedonia Environment Stats

Definitions

  • Acidification: Percentage of country with acidification excedence
    Units: Percent of Land Area
    Units: From a map of acidification excedence, all areas at risk within each country were added together in order to calculate the percentage of the entire country at risk of excedence. See pages 21-22 of the 2001 ESI report for more details on how the acidification excedence map was produced.
  • Adjusted net national income > Constant 2000 US$: Adjusted net national income (constant 2000 US$). Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.
  • Adjusted net national income > Constant 2000 US$ per capita: Adjusted net national income (constant 2000 US$). Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion. Figures expressed per capita for the same year.
  • Adjusted net national income > Current US$: Adjusted net national income (current US$). Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion.
  • Adjusted net national income > Current US$ per capita: Adjusted net national income (current US$). Adjusted net national income is GNI minus consumption of fixed capital and natural resources depletion. Figures expressed per capita for the same year.
  • Biodiversity > Bird species, threatened: Bird species, threatened. Birds are listed for countries included within their breeding or wintering ranges. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known.
  • Biodiversity > Fish species, threatened: Fish species, threatened. Fish species are based on Froese, R. and Pauly, D. (eds). 2008. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known.
  • Biodiversity > GEF benefits index for biodiversity > 0 = no biodiversity potential to 100 = maximum: GEF benefits index for biodiversity (0 = no biodiversity potential to 100 = maximum). GEF benefits index for biodiversity is a composite index of relative biodiversity potential for each country based on the species represented in each country, their threat status, and the diversity of habitat types in each country. The index has been normalized so that values run from 0 (no biodiversity potential) to 100 (maximum biodiversity potential).
  • Biodiversity > Mammal species, threatened: Mammal species, threatened. Mammal species are mammals excluding whales and porpoises. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known.
  • Biodiversity > Plant species > Higher, threatened: Plant species (higher), threatened. Higher plants are native vascular plant species. Threatened species are the number of species classified by the IUCN as endangered, vulnerable, rare, indeterminate, out of danger, or insufficiently known.
  • CFC > Consumption: CFC consumption
    Units: Ozone Depletion Potential (ODP) Tons (Metric Tons x ODP)
    Units: The indicator was obtained by multiplying the Total CFCs emissions (metric tons per ozone depletion potential) with the Per capita CFCs emissions (obtained by dividing the total CFCs emissions by the population in 1997). In calculating the ESI, the base-10 logarithm of this variable was used.
  • CFC > Consumption per 1000: CFC consumption
    Units: Ozone Depletion Potential (ODP) Tons (Metric Tons x ODP)
    Units: The indicator was obtained by multiplying the Total CFCs emissions (metric tons per ozone depletion potential) with the Per capita CFCs emissions (obtained by dividing the total CFCs emissions by the population in 1997). In calculating the ESI, the base-10 logarithm of this variable was used. Figures expressed per thousand population for the same year.
  • CO2 Emissions per 1000: CO2: Total Emissions (excluding land-use) Units: thousand metric tonnes of carbon dioxide. Figures expressed per thousand population for the same year.
  • Carbon efficiency: Carbon economic efficiency (CO2 emissions per dollar GDP)
    Units: Metric Tons/US Dollar GDP
  • Climate change > CO2 emissions > Kg per 2000 US$ of GDP: CO2 emissions (kg per 2000 US$ of GDP). 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.
  • Climate change > CO2 emissions > Kt: CO2 emissions (kt). 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.
  • Climate change > CO2 emissions > Kt per 1000: CO2 emissions (kt). 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. Figures expressed per thousand population for the same year.
  • Climate change > CO2 emissions > Metric tons per capita: CO2 emissions (metric tons per capita). 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.
  • Climate change > CO2 emissions from electricity and heat production, total > Million metric tons: CO2 emissions from electricity and heat production, total (million metric tons). CO2 emissions from electricity and heat production is the sum of three IEA categories of CO2 emissions: (1) Main Activity Producer Electricity and Heat which contains the sum of emissions from main activity producer electricity generation, combined heat and power generation and heat plants. Main activity producers (formerly known as public utilities) are defined as those undertakings whose primary activity is to supply the public. They may be publicly or privately owned. This corresponds to IPCC Source/Sink Category 1 A 1 a. For the CO2 emissions from fuel combustion (summary) file, emissions from own on-site use of fuel in power plants (EPOWERPLT) are also included. (2) Unallocated Autoproducers which contains the emissions from the generation of electricity and/or heat by autoproducers. Autoproducers are defined as undertakings that generate electricity and/or heat, wholly or partly for their own use as an activity which supports their primary activity. They may be privately or publicly owned. In the 1996 IPCC Guidelines, these emissions would normally be distributed between industry, transport and "other" sectors. (3) Other Energy Industries contains emissions from fuel combusted in petroleum refineries, for the manufacture of solid fuels, coal mining, oil and gas extraction and other energy-producing industries. This corresponds to the IPCC Source/Sink Categories 1 A 1 b and 1 A 1 c. According to the 1996 IPCC Guidelines, emissions from coke inputs to blast furnaces can either be counted here or in the Industrial Processes source/sink category. Within detailed sectoral calculations, certain non-energy processes can be distinguished. In the reduction of iron in a blast furnace through the combustion of coke, the primary purpose of the coke oxidation is to produce pig iron and the emissions can be considered as an industrial process. Care must be taken not to double count these emissions in both Energy and Industrial Processes. In the IEA estimations, these emissions have been included in this category.
  • Climate change > CO2 emissions from electricity and heat production, total > Million metric tons per million: CO2 emissions from electricity and heat production, total (million metric tons). CO2 emissions from electricity and heat production is the sum of three IEA categories of CO2 emissions: (1) Main Activity Producer Electricity and Heat which contains the sum of emissions from main activity producer electricity generation, combined heat and power generation and heat plants. Main activity producers (formerly known as public utilities) are defined as those undertakings whose primary activity is to supply the public. They may be publicly or privately owned. This corresponds to IPCC Source/Sink Category 1 A 1 a. For the CO2 emissions from fuel combustion (summary) file, emissions from own on-site use of fuel in power plants (EPOWERPLT) are also included. (2) Unallocated Autoproducers which contains the emissions from the generation of electricity and/or heat by autoproducers. Autoproducers are defined as undertakings that generate electricity and/or heat, wholly or partly for their own use as an activity which supports their primary activity. They may be privately or publicly owned. In the 1996 IPCC Guidelines, these emissions would normally be distributed between industry, transport and "other" sectors. (3) Other Energy Industries contains emissions from fuel combusted in petroleum refineries, for the manufacture of solid fuels, coal mining, oil and gas extraction and other energy-producing industries. This corresponds to the IPCC Source/Sink Categories 1 A 1 b and 1 A 1 c. According to the 1996 IPCC Guidelines, emissions from coke inputs to blast furnaces can either be counted here or in the Industrial Processes source/sink category. Within detailed sectoral calculations, certain non-energy processes can be distinguished. In the reduction of iron in a blast furnace through the combustion of coke, the primary purpose of the coke oxidation is to produce pig iron and the emissions can be considered as an industrial process. Care must be taken not to double count these emissions in both Energy and Industrial Processes. In the IEA estimations, these emissions have been included in this category. Figures expressed per million population for the same year.
  • Ecological footprint: Ecological footprint per capita
    Units: Hectares per Person
  • Marine fish catch: Total marine fish catch
    Units: Metric Tons
  • Marine fish catch per 1000: Total marine fish catch
    Units: Metric Tons. Figures expressed per thousand population for the same year.
  • NOx emissions per populated area: NOx emissions per populated land area
    Units: 1000 Metric Tons/Sq. Km. of Populated Land Area
    Units: We obtained the total emissions for each country by summarizing emissions data, originally available as a grid map with 1 degree x 1 degree cells. Air pollution is generally greatest in densely populated areas. To take this into account, we used the Gridded Population of the World dataset available from CIESIN and calculated the total land area in each country inhabited with a population density of greater than 5 persons per sq. km. We then used this land area as a denominator for the emissions data.
  • National parks > Number of parks: Number of parks.

    No date was available from the Wikipedia article, so we used the date of retrieval.

  • National parks > Proportion of country area: Country area.

    No date was available from the Wikipedia article, so we used the date of retrieval.

  • National parks > Total area: Total area km².

    No date was available from the Wikipedia article, so we used the date of retrieval.

  • Pollution > Organic water pollutant > BOD emissions > Kg per day: Organic water pollutant (BOD) emissions (kg per day). Emissions of organic water pollutants are measured by biochemical oxygen demand, which refers to the amount of oxygen that bacteria in water will consume in breaking down waste. This is a standard water-treatment test for the presence of organic pollutants.
  • Pollution > Ozone depleting substance consumption: Consumption of all Ozone-Depleting Substances in ODP metric tons.
  • Pollution > Ozone depleting substance consumption per million people: Consumption of all Ozone-Depleting Substances in ODP metric tons. Figures expressed per million people for the same year.
  • Pollution perceptions > Air pollution: Air Pollution. Based on 0-50 contributions for Albania, Algeria, Argentina and 86 more countries and over 100 contributions for Australia, Canada, China and 9 more countries and 50-100 contributions for Brazil, Bulgaria, Greece and 12 more countries. The surveys were conducted by numbeo.com from January, 2011 to February, 2014. See this sample survey for the United States, respondents were asked "How satisfied are you with the quality of air in this city?". The higher the value, the more survey respondents believe it is high in their country.
  • Pollution perceptions > Air quality: Air quality. Based on 0-50 contributions for Albania, Algeria, Argentina and 86 more countries and over 100 contributions for Australia, Canada, China and 9 more countries and 50-100 contributions for Brazil, Bulgaria, Greece and 12 more countries. The surveys were conducted by numbeo.com from January, 2011 to February, 2014. See this sample survey for the United States, respondents were asked "How satisfied are you with the quality of air in this city?". The higher the value, the more survey respondents believe it is high in their country.
  • Pollution perceptions > Clean water: Water Quality. Based on 0-50 contributions for Albania, Algeria, Argentina and 86 more countries and over 100 contributions for Australia, Canada, China and 9 more countries and 50-100 contributions for Brazil, Bulgaria, Greece and 12 more countries. The surveys were conducted by numbeo.com from January, 2011 to February, 2014. See this sample survey for the United States, respondents were asked "Are you concerned with the water pollution in this city?". The higher the value, the more survey respondents believe it is high in their country.
  • Pollution perceptions > Clean, tidy cities: Clean and Tidy. Based on 0-50 contributions for Albania, Algeria, Argentina and 86 more countries and over 100 contributions for Australia, Canada, China and 9 more countries and 50-100 contributions for Brazil, Bulgaria, Greece and 12 more countries. The surveys were conducted by numbeo.com from January, 2011 to February, 2014. See this sample survey for the United States, respondents were asked "Do you find city clean and tidy?". The higher the value, the more survey respondents believe it is high in their country.
  • Pollution perceptions > Dirty, untidy cities: Dirty and Untidy. Based on 0-50 contributions for Albania, Algeria, Argentina and 86 more countries and over 100 contributions for Australia, Canada, China and 9 more countries and 50-100 contributions for Brazil, Bulgaria, Greece and 12 more countries. The surveys were conducted by numbeo.com from January, 2011 to February, 2014. See this sample survey for the United States, respondents were asked "Do you find city clean and tidy?". The higher the value, the more survey respondents believe it is high in their country.
  • Pollution perceptions > Drinking water pollution: Drinking Water Pollution and Inaccessibility. Based on 0-50 contributions for Albania, Algeria, Argentina and 86 more countries and over 100 contributions for Australia, Canada, China and 9 more countries and 50-100 contributions for Brazil, Bulgaria, Greece and 12 more countries. The surveys were conducted by numbeo.com from January, 2011 to February, 2014. See this sample survey for the United States, respondents were asked "How do you find quality and the accessibility of drinking water?". The higher the value, the more survey respondents believe it is high in their country.
  • Pollution perceptions > Drinking water quality: Drinking Water Quality and Accessibility. Based on 0-50 contributions for Albania, Algeria, Argentina and 86 more countries and over 100 contributions for Australia, Canada, China and 9 more countries and 50-100 contributions for Brazil, Bulgaria, Greece and 12 more countries. The surveys were conducted by numbeo.com from January, 2011 to February, 2014. See this sample survey for the United States, respondents were asked "How do you find quality and the accessibility of drinking water?". The higher the value, the more survey respondents believe it is high in their country.
  • Pollution perceptions > Free of noise and light pollution: Quiet and No Problem with Night Lights. Based on 0-50 contributions for Albania, Algeria, Argentina and 86 more countries and over 100 contributions for Australia, Canada, China and 9 more countries and 50-100 contributions for Brazil, Bulgaria, Greece and 12 more countries. The surveys were conducted by numbeo.com from January, 2011 to February, 2014. See this sample survey for the United States, respondents were asked "How concerned are you with noise pollution and light during the night in this city?". The higher the value, the more survey respondents believe it is high in their country.
  • Pollution perceptions > Noise and light pollution: Noise and Light Pollution. Based on 0-50 contributions for Albania, Algeria, Argentina and 86 more countries and over 100 contributions for Australia, Canada, China and 9 more countries and 50-100 contributions for Brazil, Bulgaria, Greece and 12 more countries. The surveys were conducted by numbeo.com from January, 2011 to February, 2014. See this sample survey for the United States, respondents were asked "How concerned are you with noise pollution and light during the night in this city?". The higher the value, the more survey respondents believe it is high in their country.
  • Pollution perceptions > Pollution index: Pollution Index is an estimation of the overall pollution in the city. The biggest weight is given to air pollution, than to water pollution/accessibility, two main pollution factors. Small weight is given to other pollution types.
  • Pollution perceptions > Urban comfort > Low pollution: Comfortable to Spend Time in the City. Based on 0-50 contributions for Albania, Algeria, Argentina and 86 more countries and over 100 contributions for Australia, Canada, China and 9 more countries and 50-100 contributions for Brazil, Bulgaria, Greece and 12 more countries. The surveys were conducted by numbeo.com from January, 2011 to February, 2014. See this sample survey for the United States, respondents were asked "Are you feeling comfortable to spend time in the city because of the pollution?". The higher the value, the more survey respondents believe it is high in their country.
  • Pollution perceptions > Waste management dissatisfaction: Dissatisfaction with Garbage Disposal. Based on 0-50 contributions for Albania, Algeria, Argentina and 86 more countries and over 100 contributions for Australia, Canada, China and 9 more countries and 50-100 contributions for Brazil, Bulgaria, Greece and 12 more countries. The surveys were conducted by numbeo.com from January, 2011 to February, 2014. See this sample survey for the United States, respondents were asked "How satisfied are you with a garbage disposal in the city?". The higher the value, the more survey respondents believe it is high in their country.
  • Pollution perceptions > Water pollution: Water Pollution. Based on 0-50 contributions for Albania, Algeria, Argentina and 86 more countries and over 100 contributions for Australia, Canada, China and 9 more countries and 50-100 contributions for Brazil, Bulgaria, Greece and 12 more countries. The surveys were conducted by numbeo.com from January, 2011 to February, 2014. See this sample survey for the United States, respondents were asked "Are you concerned with the water pollution in this city?". The higher the value, the more survey respondents believe it is high in their country.
  • Proportion of land area under protection: Terrestrial areas protected to total surface area, percentage.
  • Protected area: Environmentally protected area (1997)
  • SO2 emissions per populated area: SO2 emissions per populated land area
    Units: 1000 Metric Tons/Sq. Km. of Populated Land Area
    Units: We obtained the total emissions for each country by summarizing emissions data, originally available as a grid map with 1 degree x 1 degree cells. Air pollution is generally greatest in densely populated areas. To take this into account, we used the Gridded Population of the World dataset available from CIESIN and calculated the total land area in each country inhabited with a population density of greater than 5 persons per sq. km. We then used this land area as a denominator for the emissions data.
  • Sanitation > Population with improved sanitation > Urban and rural: Proportion of the population using improved sanitation facilities, total.
  • Threatened species: Number of Threatened Species (1990-99)
  • Waste > Local garbage collected: Municipal waste collected.
  • Waste > Local garbage collected per thousand people: Municipal waste collected. Figures expressed per thousand people for the same year.
  • Waste > Population served by local garbage collection: Total population served by municipal waste collection.
  • Water > Availability: Water availability per capita (1961-1990 (avg.))
    Units: Thousands Cubic Meters/Person
    Units: This variable measures internal renewable water (average annual surface runoff and groundwater recharge generated from endogenous precipitation)
  • Water > Dissolved oxygen concentration: Dissolved oxygen concentration
    Units: Milligrams/Liter
    Units: The country values represent averages of the station-level values for the three year time period 1994-96, exceptwhere data were only available for an earlier time period (1988-1993). The number of stations per country varies depending on country size; number of bodies of water; and level of participation in the GEMS monitoring system. The data from "The Wellbeing of Nations" included a smaller subset of stations representing outfalls of major watersheds. An analysis of a sample of countries with numerous stations found that the data for stations in the subset is broadly comparable to the data for all GEMS stations in those countries.
  • Water > Drinking water > Population with improved drinking water sources > Rural: Proportion of the population using improved drinking water sources, rural.
  • Water > Drinking water > Population with improved drinking water sources > Urban and rural: Proportion of the population using improved drinking water sources, total.
  • Water > Freshwater pollution: Industrial organic pollutants per available freshwater
    Units: Metric Tons of BOD Emissions per Cubic Km of Water
    Units: Emissions of organic water pollutants are measured by biochemical oxygen demand, which refers to the amount of oxygen that bacteria in water will consume in breaking down waste. This is a standard water-treatment test for the presence of organic pollutants. The data from the World Bank, which represented BOD emissions (kilograms per day) were normalized by the combination of water availability per capita and water inflow availability per capita from the WaterGap2.1 model. In calculating the ESI, the base-10 logarithm of this variable was used.
  • Water > Percent of water resources used: Proportion of total water resources used, percentage.
  • Water > Severe water stress: Percent of country's territory under severe water stress
    Units: Percent of Land Area
    Units: This data is derived from the WaterGap 2.1 gridded hydrological model developed by the Center for Environmental Systems Research, University of Kassel, Germany. The modellers derived, for each country, grid cell by grid cell estimates of whether the water consumption exceeds 40 percent of the water available in that particular grid cell. These were then converted to land area equivalents in order to calculate the percentage of the territory under severe water stress.
STAT AMOUNT DATE RANK HISTORY
Acidification 97.48% 2001 1st out of 141
Adjusted net national income > Constant 2000 US$ $6.21 billion 2011 61st out of 83
Adjusted net national income > Constant 2000 US$ per capita $2,950.69 2011 33th out of 83
Adjusted net national income > Current US$ $8.71 billion 2011 109th out of 154
Adjusted net national income > Current US$ per capita $4,140.77 2011 71st out of 154
Biodiversity > Bird species, threatened 11 2013 111th out of 209
Biodiversity > Fish species, threatened 13 2013 140th out of 209
Biodiversity > GEF benefits index for biodiversity > 0 = no biodiversity potential to 100 = maximum 0.199 2008 172nd out of 204
Biodiversity > Mammal species, threatened 5 2013 149th out of 209
Biodiversity > Plant species > Higher, threatened 0.0 2013 195th out of 209
CFC > Consumption 1,997.95 1997 58th out of 107
CFC > Consumption per 1000 1 1997 34th out of 107
CO2 Emissions per 1000 4.26 2003 59th out of 174
Carbon efficiency 3.74 CO2 emissions/$ GDP 1998 12th out of 141
Climate change > CO2 emissions > Kg per 2000 US$ of GDP $1.52 2010 21st out of 182
Climate change > CO2 emissions > Kt 10,872.66 2010 94th out of 198
Climate change > CO2 emissions > Kt per 1000 5.17 2010 68th out of 198
Climate change > CO2 emissions > Metric tons per capita 5.17 2010 68th out of 198
Climate change > CO2 emissions from electricity and heat production, total > Million metric tons 5.83 2011 87th out of 137
Climate change > CO2 emissions from electricity and heat production, total > Million metric tons per million 2.77 2011 47th out of 137
Ecological footprint 3.24 2000 51st out of 141
Marine fish catch 0.0 1999 125th out of 139
Marine fish catch per 1000 0.0 1999 125th out of 139
NOx emissions per populated area 0.15 thousand metric tons/squ 2000 109th out of 141
National parks > Number of parks 3 2014 34th out of 39
National parks > Proportion of country area 3.8% 2014 11th out of 37
National parks > Total area 974 2014 31st out of 38
Pollution > Organic water pollutant > BOD emissions > Kg per day 20,340.74 2007 20th out of 32
Pollution > Ozone depleting substance consumption 0.9 2011 133th out of 164
Pollution > Ozone depleting substance consumption per million people 0.428 2011 134th out of 163
Pollution perceptions > Air pollution 91.49 2014 1st out of 27
Pollution perceptions > Air quality 8.51 2014 27th out of 27
Pollution perceptions > Clean water 53.47 2014 16th out of 27
Pollution perceptions > Clean, tidy cities 19.74 2014 27th out of 27
Pollution perceptions > Dirty, untidy cities 80.26 2014 1st out of 27
Pollution perceptions > Drinking water pollution 35.9 2014 9th out of 27
Pollution perceptions > Drinking water quality 64.1 2014 19th out of 27
Pollution perceptions > Free of noise and light pollution 41.89 2014 25th out of 27
Pollution perceptions > Noise and light pollution 58.11 2014 3rd out of 27
Pollution perceptions > Pollution index 85.35 2014 2nd out of 27
Pollution perceptions > Urban comfort > Low pollution 20.24 2014 27th out of 27
Pollution perceptions > Waste management dissatisfaction 66.45 2014 10th out of 27
Pollution perceptions > Water pollution 46.53 2014 12th out of 27
Proportion of land area under protection 7.27% 2012 147th out of 217
Protected area 7.1% 1997 57th out of 147
SO2 emissions per populated area 900 thousand metric tons/squ 2000 56th out of 141
Sanitation > Population with improved sanitation > Urban and rural 91.33 2011 93th out of 188
Threatened species 20 1990 94th out of 158
Waste > Local garbage collected 552,000 tonnes 2009 56th out of 68
Waste > Local garbage collected per thousand people 262.79 tonnes 2009 54th out of 68
Waste > Population served by local garbage collection 72% 2009 33th out of 39
Water > Availability 2.55 thousand cubic metres 1990 75th out of 141
Water > Dissolved oxygen concentration 8.93 mls/litre 1994 39th out of 141
Water > Drinking water > Population with improved drinking water sources > Rural 99 2011 49th out of 190
Water > Drinking water > Population with improved drinking water sources > Urban and rural 99.59 2011 49th out of 194
Water > Freshwater pollution 4.7 tons/cubic km 2001 12th out of 69
Water > Percent of water resources used 16.06% 2005 36th out of 89
Water > Severe water stress 91.6 2000 11th out of 140

SOURCES: Stockholm Environment Institute at York, Acidification in Developing Countries: Ecosystem Sensitivity and the Critical Loads Approach at the Global scale, 2000 via ciesin.org; The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium; The Changing Wealth of Nations: Measuring Sustainable Development in the New Millennium. Population figures from World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; United Nations Environmental Program and the World Conservation Monitoring Centre; Froese, R. and Pauly, D. (eds). 2008. FishBase database, www.fishbase.org.; Kiran Dev Pandey, Piet Buys, Ken Chomitz, and David Wheeler's, "Biodiversity Conservation Indicators: New Tools for Priority Setting at the Global Environment Facility" (2006).; United Nations Environmental Program and the World Conservation Monitoring Centre; UNEP, Production and Consumption of Ozone Depleting Substances, 1986-1998, October 1999. via ciesin.org; UNEP, Production and Consumption of Ozone Depleting Substances, 1986-1998, October 1999. via ciesin.org. Population figures from World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; World Resources Institute. 2003. Carbon Emissions from energy use and cement manufacturing, 1850 to 2000. Available on-line through the Climate Analysis Indicators Tool (CAIT) at Washington, DC: World Resources Institute. Population figures from World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; Carbon Dioxide Information Analysis Center; Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States.; Carbon Dioxide Information Analysis Center, Environmental Sciences Division, Oak Ridge National Laboratory, Tennessee, United States. Population figures from World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; International Energy Agency; International Energy Agency. Population figures from World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; World Wide Fund for Nature (WWF), Living Planet Report 2000, Gland, Switzerland: 2000, and Redefining Progress.; FAOSTAT on-line database; FAOSTAT on-line database. Population figures from World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; Intergovernmental Panel on Climate Change: Special Report on Emissions Scenarios, Data Version 1.1, B1Illustrative Marker Scenario with model IMAGE; Wikipedia: List of national parks (Africa); Industrial Pollution in Economic Development: Kuznets Revisited; United Nations Statistics Division. Source tables; United Nations Statistics Division. Source tables. Population figures from World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; pollution; United Nations Statistics Division. Source tables; Jacaranda Atlas; United Nations Statistics Division. Source tables; United Nations World Statistics Pocketbook and Statistical Yearbook; United Nations Statistics Division. Source tables; United Nations Statistics Division. Source tables. Population figures from World Bank: (1) United Nations Population Division. World Population Prospects, (2) United Nations Statistical Division. Population and Vital Statistics Report (various years), (3) Census reports and other statistical publications from national statistical offices, (4) Eurostat: Demographic Statistics, (5) Secretariat of the Pacific Community: Statistics and Demography Programme, and (6) U.S. Census Bureau: International Database.; United Nations Statistics Division. Source tables; Center for Environmental Systems Research, University of Kassel, WaterGAP 2.1B, 2001 via ciesin.org; United Nations Environment Programme (UNEP), Global Environmental Monitoring System/Water Quality Monitoring System, with data for an additional 29 countries from Prescott-Allen,R. The Well being of Nations, Washington, DC: Island Press, 2001; United Nations Statistics Division. Source tables; United Nations Statistics Division. Source tables; World Bank, World Development Indicators 2001, Washington, DC: World Bank, 2001 (for BOD emissions)and Center for Environmental Systems Research, University of Kassel, WaterGap 2.1, 2000 (for data on waterquantity). via ciesin.org; United Nations Statistics Division. Source tables; Center for Environmental Systems Research, University of Kassel, WaterGap 2.1, 2000 via ciesin.org

Citation

Republic of Macedonia Environment Profiles (Subcategories)

Adjusted net national income 4 Pollution perceptions 17
Biodiversity 6 Sanitation 3
Climate change 25 Waste 3
National parks 3 Water 21
Pollution 15

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