Upload 3 files

app.py

@@ -1,89 +1,89 @@
-import streamlit as st
-import pandas as pd
-import plotly.graph_objects as go
-import matplotlib.pyplot as plt
-
-# Sayfa Ayarları
-st.set_page_config(page_title="World Data Analysis", layout="wide")
-
-# --- SIDEBAR (SOL TARAF) - SENİN METNİN ---
-st.sidebar.header("📊 Analysis Notes / Analiz Notları")
-
-# İngilizce Notlar
-st.sidebar.markdown("""
-**EN:** Analysis shows that developed countries have high GDP and internet usage. It has also been observed that CO2 emissions are high in these countries. In low-income countries, energy and internet usage are found to be lower. In some cases, an inverse relationship between forest rate and CO2 emissions has been seen.
-
-**Examples:**
-* **High GDP & CO2:** USA, China, Germany.
-* **Low Income & Energy:** Afghanistan, Yemen, Zambia.
-""")
-
-st.sidebar.markdown("---") # Ayırıcı çizgi
-
-# Türkçe Notlar
-st.sidebar.markdown("""
-**TR:** Analiz sonucunda gelişmiş ülkelerde GDP ve internet kullanımının yüksek olduğu görülmüştür. Aynı zamanda bu ülkelerde CO2 emisyonunun da yüksek olduğu tespit edilmiştir. Düşük gelirli ülkelerde ise enerji ve internet kullanımının daha düşük olduğu gözlemlenmiştir. Orman oranı ile CO2 emisyonu arasında bazı durumlarda ters ilişki olduğu görülmüştür.
-
-**Örnekler:**
-* **Yüksek GDP & CO2:** ABD (USA), Çin (China), Almanya.
-* **Düşük Gelir & Enerji:** Afganistan, Yemen, Zambiya.
-""")
-
-# --- DATA LOAD ---
-try:
-    df = pd.read_csv("us_pollution_cleaned.csv")
-except:
-    st.error("Dosya bulunamadı! / File not found!")
-    st.stop()
-
-# Sütun isimlerini veriye göre eşleştirme
-df = df.rename(columns={
-    'country': 'COUNTRY',
-    'GDP: Gross domestic product (million current US$)': 'GDP',
-    'CO2 emission estimates (million tons/tons per capita)': 'CO2'
-})
-
-# GDP_LEVEL Sütununu Güncelleme
-if 'GDP' in df.columns:
-    df['GDP_LEVEL'] = pd.cut(df['GDP'], bins=[0, 50000, 1000000, 30000000], labels=['Low', 'Medium', 'High'])
-
-# --- ANA SAYFA BAŞLIK ---
-st.title("🌍 World Data Analysis Dashboard / Dünya Veri Analizi Paneli")
-st.write("Veri Analizi ve Görselleştirme / Data Analysis and Visualization")
-st.divider()
-
-# --- 1. HARİTA ---
-st.subheader("🗺️ World GDP Map / Dünya GSYİH Haritası")
-fig_map = go.Figure(data=dict(
-    type="choropleth",
-    colorscale='Viridis',
-    locations=df["COUNTRY"],
-    locationmode="country names",
-    z=df["GDP"],
-    colorbar={'title': "GDP"}
-))
-fig_map.update_layout(height=400, margin={"r":0,"t":0,"l":0,"b":0})
-st.plotly_chart(fig_map, use_container_width=True)
-
-st.divider()
-
-# --- 2. ALT GRAFİKLER (YAN YANA) ---
-col1, col2 = st.columns(2)
-
-with col1:
-    st.subheader("📊 GDP vs CO2")
-    fig1, ax1 = plt.subplots(figsize=(5, 4)) 
-    ax1.scatter(df['GDP'], df['CO2'], color='royalblue', alpha=0.6, s=20)
-    ax1.set_xlabel("GDP")
-    ax1.set_ylabel("CO2")
-    st.pyplot(fig1)
-
-with col2:
-    st.subheader("Pie Chart / Gelir Seviyesi Dağılımı")
-    fig2, ax2 = plt.subplots(figsize=(5, 4))
-    df_pie = df['GDP_LEVEL'].value_counts()
-    ax2.pie(df_pie, labels=df_pie.index, autopct='%1.1f%%', colors=['#ff9999','#66b3ff','#99ff99'])
-    st.pyplot(fig2)
-
-st.divider()
+import streamlit as st
+import pandas as pd
+import plotly.graph_objects as go
+import matplotlib.pyplot as plt
+
+# Sayfa Ayarları
+st.set_page_config(page_title="World Data Analysis", layout="wide")
+
+# --- SIDEBAR (SOL TARAF) - SENİN METNİN ---
+st.sidebar.header("📊 Analysis Notes / Analiz Notları")
+
+# İngilizce Notlar
+st.sidebar.markdown("""
+**EN:** Analysis shows that developed countries have high GDP and internet usage. It has also been observed that CO2 emissions are high in these countries. In low-income countries, energy and internet usage are found to be lower. In some cases, an inverse relationship between forest rate and CO2 emissions has been seen.
+
+**Examples:**
+* **High GDP & CO2:** USA, China, Germany.
+* **Low Income & Energy:** Afghanistan, Yemen, Zambia.
+""")
+
+st.sidebar.markdown("---") # Ayırıcı çizgi
+
+# Türkçe Notlar
+st.sidebar.markdown("""
+**TR:** Analiz sonucunda gelişmiş ülkelerde GDP ve internet kullanımının yüksek olduğu görülmüştür. Aynı zamanda bu ülkelerde CO2 emisyonunun da yüksek olduğu tespit edilmiştir. Düşük gelirli ülkelerde ise enerji ve internet kullanımının daha düşük olduğu gözlemlenmiştir. Orman oranı ile CO2 emisyonu arasında bazı durumlarda ters ilişki olduğu görülmüştür.
+
+**Örnekler:**
+* **Yüksek GDP & CO2:** ABD (USA), Çin (China), Almanya.
+* **Düşük Gelir & Enerji:** Afganistan, Yemen, Zambiya.
+""")
+
+# --- DATA LOAD ---
+try:
+    df = pd.read_csv("us_pollution_cleaned.csv")
+except:
+    st.error("Dosya bulunamadı! / File not found!")
+    st.stop()
+
+# Sütun isimlerini veriye göre eşleştirme
+df = df.rename(columns={
+    'country': 'COUNTRY',
+    'GDP: Gross domestic product (million current US$)': 'GDP',
+    'CO2 emission estimates (million tons/tons per capita)': 'CO2'
+})
+
+# GDP_LEVEL Sütununu Güncelleme
+if 'GDP' in df.columns:
+    df['GDP_LEVEL'] = pd.cut(df['GDP'], bins=[0, 50000, 1000000, 30000000], labels=['Low', 'Medium', 'High'])
+
+# --- ANA SAYFA BAŞLIK ---
+st.title("🌍 World Data Analysis Dashboard / Dünya Veri Analizi Paneli")
+st.write("Veri Analizi ve Görselleştirme / Data Analysis and Visualization")
+st.divider()
+
+# --- 1. HARİTA ---
+st.subheader("🗺️ World GDP Map / Dünya GSYİH Haritası")
+fig_map = go.Figure(data=dict(
+    type="choropleth",
+    colorscale='Viridis',
+    locations=df["COUNTRY"],
+    locationmode="country names",
+    z=df["GDP"],
+    colorbar={'title': "GDP"}
+))
+fig_map.update_layout(height=400, margin={"r":0,"t":0,"l":0,"b":0})
+st.plotly_chart(fig_map, use_container_width=True)
+
+st.divider()
+
+# --- 2. ALT GRAFİKLER (YAN YANA) ---
+col1, col2 = st.columns(2)
+
+with col1:
+    st.subheader("📊 GDP vs CO2")
+    fig1, ax1 = plt.subplots(figsize=(5, 4)) 
+    ax1.scatter(df['GDP'], df['CO2'], color='royalblue', alpha=0.6, s=20)
+    ax1.set_xlabel("GDP")
+    ax1.set_ylabel("CO2")
+    st.pyplot(fig1)
+
+with col2:
+    st.subheader("Pie Chart / Gelir Seviyesi Dağılımı")
+    fig2, ax2 = plt.subplots(figsize=(5, 4))
+    df_pie = df['GDP_LEVEL'].value_counts()
+    ax2.pie(df_pie, labels=df_pie.index, autopct='%1.1f%%', colors=['#ff9999','#66b3ff','#99ff99'])
+    st.pyplot(fig2)
+
+st.divider()
 st.write("✅ Proje tamamlandı / Project completed")

us_pollution_cleaned.csv

@@ -0,0 +1,184 @@
+country,Region,Surface area (km2),Population in thousands (2017),"Population density (per km2, 2017)","Sex ratio (m per 100 f, 2017)",GDP: Gross domestic product (million current US$),"GDP growth rate (annual %, const. 2005 prices)",GDP per capita (current US$),Economy: Agriculture (% of GVA),Economy: Industry (% of GVA),Economy: Services and other activity (% of GVA),Employment: Agriculture (% of employed),Employment: Industry (% of employed),Employment: Services (% of employed),Unemployment (% of labour force),Labour force participation (female/male pop. %),Agricultural production index (2004-2006=100),Food production index (2004-2006=100),International trade: Exports (million US$),International trade: Imports (million US$),International trade: Balance (million US$),"Balance of payments, current account (million US$)",Population growth rate (average annual %),Urban population (% of total population),Urban population growth rate (average annual %),"Fertility rate, total (live births per woman)","Life expectancy at birth (females/males, years)","Population age distribution (0-14 / 60+ years, %)",International migrant stock (000/% of total pop.),Refugees and others of concern to UNHCR (in thousands),Infant mortality rate (per 1000 live births,Health: Total expenditure (% of GDP),Health: Physicians (per 1000 pop.),Education: Government expenditure (% of GDP),Education: Primary gross enrol. ratio (f/m per 100 pop.),Education: Secondary gross enrol. ratio (f/m per 100 pop.),Education: Tertiary gross enrol. ratio (f/m per 100 pop.),Seats held by women in national parliaments %,Mobile-cellular subscriptions (per 100 inhabitants),Mobile-cellular subscriptions (per 100 inhabitants).1,Individuals using the Internet (per 100 inhabitants),Threatened species (number),Forested area (% of land area),CO2 emission estimates (million tons/tons per capita),"Energy production, primary (Petajoules)",Energy supply per capita (Gigajoules),"Pop. using improved drinking water (urban/rural, %)","Pop. using improved sanitation facilities (urban/rural, %)",Net Official Development Assist. received (% of GNI),GDP_Plot,GDP_LEVEL
+Afghanistan,SouthernAsia,652864.0,35530,54.4,106.3,20270.0,-2.4,623.2,23.3,23.3,53.3,61.6,10.0,28.5,8.6,,125.0,125.0,1458.0,3568.0,-2110.0,-5121.0,3.2,26.7,4.0,5.3,,,,1513.1,68.6,8.2,0.3,3.3,,,,27.7,61.6,8.3,42.0,2.1,,63.0,5.0,,,21.43,,20270.0,High
+Albania,SouthernEurope,28748.0,2930,106.9,101.9,11541.0,2.6,3984.2,22.4,26.0,51.7,41.4,18.3,40.3,15.8,,134.0,134.0,1962.0,4669.0,-2707.0,-1222.0,-0.1,57.4,2.2,1.7,,,,8.8,14.6,5.9,1.3,3.5,,,,22.9,106.4,63.3,100.0,28.2,,84.0,36.0,,,2.96,,11541.0,High
+Algeria,NorthernAfrica,2381741.0,41318,17.3,102.0,164779.0,3.8,4154.1,12.2,37.3,50.5,10.8,34.5,54.7,11.4,,160.0,161.0,29992.0,47091.0,-17099.0,-27229.0,2.0,70.7,2.8,3.0,,,,99.8,27.7,7.2,2.3,4.55,,,,31.6,113.0,38.2,100.0,0.8,,5900.0,55.0,,,0.05,,164779.0,
+Andorra,SouthernEurope,468.0,77,163.8,102.3,2812.0,0.8,39896.4,0.5,10.8,88.6,18.05,19.2,59.6,6.6,,113.5,115.0,100.0,1355.0,-1255.0,-472.0,-1.6,85.1,0.1,1.2,,,,28.05,17.9,8.1,3.7,3.3,,,,32.1,88.1,96.9,13.0,34.0,,1.0,119.0,,,2.38,,2812.0,Medium
+Angola,MiddleAfrica,1246700.0,29784,23.9,96.2,117955.0,3.0,4714.1,6.8,51.2,42.0,4.2,37.6,58.2,6.6,,175.0,176.0,21011.0,8790.0,12221.0,-10273.0,3.5,44.1,5.0,6.0,,,,45.7,65.4,3.3,2.3,4.55,,,,38.2,60.8,12.4,100.0,46.5,,3902.0,25.0,,,0.42,,117955.0,
+Anguilla,Caribbean,91.0,15,165.7,97.6,320.0,2.9,21879.6,2.3,15.7,82.0,18.05,19.2,59.6,6.6,,113.5,115.0,2.0,154.0,-153.0,-48.0,1.2,100.0,1.2,2.3,,,,28.05,17.9,6.3,2.3,4.55,,,,19.95,177.9,76.0,52.0,61.1,,0.0,136.0,,,2.38,,320.0,Low
+Antigua and Barbuda,Caribbean,442.0,102,231.8,92.3,1356.0,4.1,14764.5,1.9,18.3,79.8,18.05,19.2,59.6,6.6,,88.0,88.0,61.0,491.0,-429.0,-204.0,1.1,23.8,-0.9,2.1,,,,28.05,9.1,5.5,2.3,4.55,,,,11.1,137.2,65.2,55.0,22.3,,197.0,84.0,,,0.12,,1356.0,Low
+Argentina,SouthAmerica,2780400.0,44271,16.2,95.9,632343.0,2.4,14564.5,6.0,27.8,66.2,2.0,24.8,73.1,6.5,,119.0,119.0,57733.0,55610.0,2124.0,-15944.0,1.0,91.8,1.0,2.3,,,,5.0,13.7,4.8,3.8,5.3,,,,38.9,143.9,69.4,100.0,10.0,,3167.0,85.0,,,0.01,,632343.0,
+Armenia,WesternAsia,29743.0,2930,102.9,88.8,10529.0,3.0,3489.1,19.0,28.3,52.8,35.0,15.7,49.3,16.6,,135.0,135.0,1776.0,3230.0,-1455.0,-279.0,0.3,62.7,-0.1,1.6,,,,19.3,13.2,4.5,2.8,2.8,,,,9.9,115.2,58.2,100.0,11.7,,48.0,46.0,,,3.17,,10529.0,High
+Aruba,Caribbean,180.0,105,584.8,90.4,2702.0,0.1,26005.4,0.5,15.4,84.1,0.6,14.0,85.1,6.6,,113.5,115.0,95.0,1117.0,-1022.0,96.0,0.5,41.5,-0.3,1.8,,,,28.05,14.8,6.3,2.3,6.2,,,,19.95,135.7,88.7,32.0,2.3,,1.0,120.0,,,2.38,,2702.0,Medium
+Australia,Oceania,7692060.0,24451,3.2,99.3,1230859.0,2.4,51352.2,2.5,26.5,71.1,2.7,21.2,76.1,5.5,,111.0,111.0,189630.0,189406.0,224.0,-57746.0,1.5,89.4,1.5,1.9,,,,58.2,3.9,9.4,3.4,5.2,,,,28.7,132.8,84.6,100.0,16.2,,15282.0,222.0,,,2.38,,1230859.0,
+Austria,WesternEurope,83871.0,8736,106.0,96.2,376967.0,1.0,44117.7,1.3,28.3,70.4,4.7,25.6,69.7,6.2,,108.0,108.0,145503.0,149299.0,-3795.0,7020.0,0.6,66.0,0.4,1.4,,,,166.4,3.3,11.2,5.2,5.5,,,,30.6,157.4,83.9,100.0,46.9,,505.0,158.0,,,2.38,,376967.0,
+Azerbaijan,WesternAsia,86600.0,9828,118.9,99.3,53049.0,0.7,5438.7,6.7,49.9,43.4,36.7,14.2,49.1,5.2,,131.0,136.0,9143.0,8532.0,611.0,-222.0,1.3,54.6,1.6,2.1,,,,623.3,31.4,6.0,3.4,2.6,,,,16.8,111.3,77.0,97.0,13.5,,2459.0,61.0,,,0.14,,53049.0,
+Bahamas,Caribbean,13940.0,395,39.5,95.9,8854.0,-1.7,22817.2,1.6,12.7,85.7,3.9,14.2,81.9,14.7,,132.0,132.0,365.0,2904.0,-2539.0,-1409.0,1.4,82.9,1.5,1.8,,,,0.1,9.1,7.7,2.3,4.55,,,,13.2,80.3,78.0,86.0,51.4,,0.0,90.0,,,2.38,,8854.0,Medium
+Bangladesh,SouthernAsia,147570.0,164670,1265.0,101.7,194466.0,6.6,1207.9,15.5,28.1,56.3,40.6,19.1,40.3,4.0,,141.0,140.0,36031.0,52624.0,-16593.0,2687.0,1.2,34.3,3.6,2.2,,,,233.0,33.3,2.8,0.4,1.9,,,,20.3,83.4,14.4,100.0,11.0,,1438.0,11.0,,,1.24,,194466.0,
+Barbados,Caribbean,431.0,286,664.5,91.9,4385.0,0.9,15429.4,1.7,12.1,86.2,2.8,19.3,77.9,11.3,,88.0,88.0,517.0,1621.0,-1104.0,-248.0,0.3,31.5,0.1,1.8,,,,28.05,9.6,7.5,2.3,6.6,,,,16.7,116.5,76.1,56.0,14.7,,2.0,59.0,,,2.38,,4385.0,Medium
+Belarus,EasternEurope,207600.0,9468,46.7,87.0,54609.0,-3.9,5750.8,7.5,38.9,53.6,9.6,32.0,58.4,0.5,,122.0,122.0,23414.0,27464.0,-4050.0,-2037.0,1.3,76.7,1.7,1.6,,,,7.9,3.6,5.7,4.1,4.9,,,,34.5,123.6,62.2,25.0,42.5,,155.0,122.0,,,0.2,,54609.0,
+Belgium,WesternEurope,30528.0,11429,377.5,97.3,455107.0,1.5,40277.8,0.7,22.2,77.1,1.2,21.2,77.6,8.3,,108.0,107.0,398033.0,372713.0,25321.0,1936.0,0.6,97.9,0.5,1.8,,,,63.8,3.5,10.6,3.0,6.6,,,,38.0,115.7,85.1,37.0,22.6,,520.0,196.0,,,2.38,,455107.0,
+Belize,CentralAmerica,22966.0,375,16.4,99.2,1721.0,1.2,4789.4,14.6,18.5,66.9,16.1,15.9,67.9,11.5,,97.0,97.0,246.0,952.0,-706.0,-175.0,2.2,44.0,1.9,2.6,,,,3.1,14.3,5.8,2.3,6.4,,,,9.4,48.9,41.6,100.0,60.1,,9.0,36.0,,,1.68,,1721.0,Low
+Benin,WesternAfrica,114763.0,11176,99.1,99.5,8476.0,5.2,779.1,23.2,24.9,51.9,43.2,10.2,46.6,1.0,,152.0,158.0,410.0,2630.0,-2220.0,-885.0,2.8,44.0,3.7,5.2,,,,0.8,67.7,4.6,0.1,4.4,,,,7.2,85.6,6.8,88.0,38.7,,96.0,17.0,,,5.09,,8476.0,Medium
+Bhutan,SouthernAsia,38394.0,808,21.2,113.1,2074.0,5.2,2677.1,17.2,43.9,38.8,56.6,9.7,33.7,2.4,,98.0,98.0,616.0,1688.0,-1072.0,-579.0,1.6,38.6,3.7,2.2,,,,28.05,30.5,3.6,0.3,7.4,,,,8.5,87.1,39.8,71.0,72.0,,75.0,82.0,,,5.26,,2074.0,Medium
+Bolivia (Plurinational State of),SouthAmerica,1098581.0,11052,10.2,100.2,32998.0,4.8,3076.8,12.6,31.0,56.5,29.5,21.1,49.4,3.8,,142.0,143.0,6969.0,8374.0,-1405.0,-1854.0,1.6,68.5,2.3,3.0,,,,0.8,42.9,6.3,0.5,7.3,,,,53.1,92.2,45.1,100.0,50.8,,962.0,32.0,,,2.38,,32998.0,High
+Bosnia and Herzegovina,SouthernEurope,51209.0,3507,68.8,96.4,16251.0,3.1,4265.0,7.3,26.5,66.2,18.0,30.4,51.7,25.4,,96.0,97.0,5327.0,9130.0,-3803.0,-923.0,-1.0,39.8,0.1,1.3,,,,157.6,7.6,9.6,1.9,4.55,,,,21.4,90.2,65.1,91.0,42.7,,252.0,85.0,,,2.2,,16251.0,High
+Botswana,SouthernAfrica,582000.0,2292,4.0,97.7,14391.0,-0.3,6360.6,2.4,33.4,64.2,25.7,14.9,59.4,18.6,,110.0,110.0,7321.0,6103.0,1218.0,1120.0,1.8,57.4,1.3,2.9,,,,2.8,35.2,5.4,0.4,4.55,,,,9.5,169.0,27.5,28.0,19.3,,47.0,44.0,,,0.46,,14391.0,High
+Brazil,SouthAmerica,8515767.0,209288,25.0,96.6,1772591.0,-3.8,8528.3,5.2,22.7,72.0,15.2,21.5,63.2,12.4,,135.0,136.0,185235.0,137552.0,47683.0,-58882.0,0.9,85.7,1.2,1.8,,,,41.1,15.8,8.3,1.9,6.0,,,,10.7,126.6,59.1,100.0,59.2,,10948.0,61.0,,,0.06,,1772591.0,
+British Virgin Islands,Caribbean,151.0,31,208.0,97.1,908.0,-1.1,30144.5,1.0,11.1,87.8,18.05,19.2,59.6,6.6,,103.0,103.0,4763.5,444.0,-444.0,-472.0,2.0,46.2,1.8,2.3,,,,28.05,17.9,6.3,2.3,6.6,,,,19.95,145.8,37.6,67.0,24.1,,0.0,85.0,,,2.38,,908.0,Low
+Bulgaria,EasternEurope,111002.0,7085,65.3,94.6,48953.0,3.0,6846.8,5.1,27.6,67.2,6.5,29.4,64.1,8.1,,117.0,119.0,26088.0,28875.0,-2787.0,196.0,-0.6,73.9,-0.3,1.5,,,,33.7,8.3,8.4,4.0,4.1,,,,19.2,129.3,56.7,100.0,35.1,,474.0,103.0,,,2.38,,48953.0,High
+Burkina Faso,WesternAfrica,272967.0,19193,70.2,99.5,11065.0,4.1,611.1,34.5,21.8,43.7,80.0,4.9,15.1,2.9,,131.0,134.0,2019.0,3699.0,-1680.0,-998.0,3.0,29.9,5.9,5.6,,,,32.7,64.8,5.0,2.3,4.1,,,,11.0,80.6,11.4,31.0,19.8,,123.0,9.0,,,9.11,,11065.0,High
+Burundi,EasternAfrica,27830.0,10864,423.1,96.9,2735.0,-4.1,244.6,36.3,13.9,49.8,91.1,2.6,6.3,1.7,,109.0,122.0,123.0,625.0,-502.0,-375.0,3.0,12.1,5.7,6.0,,,,103.2,77.8,7.5,2.3,5.4,,,,36.4,46.2,4.9,61.0,10.6,,56.0,6.0,,,11.91,,2735.0,Medium
+Cabo Verde,WesternAfrica,4033.0,546,135.6,99.3,1603.0,1.5,3080.2,9.5,19.8,70.7,27.2,11.5,61.3,10.5,,98.0,98.0,29.0,485.0,-455.0,-73.0,1.2,65.5,2.0,2.5,,,,0.1,22.5,4.8,0.3,5.0,,,,23.6,127.2,43.0,65.0,22.1,,2.0,17.0,,,9.81,,1603.0,Low
+Cambodia,South-easternAsia,181035.0,16005,90.7,95.3,18050.0,7.0,1158.7,28.2,29.4,42.3,42.4,19.6,38.0,0.3,,175.0,177.0,13204.0,15313.0,-2109.0,-1657.0,1.6,20.7,2.6,2.7,,,,0.3,29.9,5.7,0.2,1.9,,,,20.3,133.0,19.0,100.0,54.3,,178.0,17.0,,,3.97,,18050.0,High
+Cameroon,MiddleAfrica,475650.0,24054,50.9,100.2,28416.0,5.8,1217.3,22.7,28.3,49.1,61.8,8.7,29.5,4.6,,155.0,160.0,2130.0,4899.0,-2768.0,-1173.0,2.7,54.4,3.6,5.0,,,,544.9,67.5,4.1,2.3,3.0,,,,31.1,71.8,20.7,100.0,40.3,,408.0,14.0,,,2.31,,28416.0,High
+Cayman Islands,Caribbean,264.0,62,256.5,100.4,3726.0,0.7,62132.0,0.3,7.5,92.2,0.8,15.5,83.6,6.3,,104.0,104.0,18.0,991.0,-972.0,-472.0,1.5,100.0,1.5,2.3,,,,0.1,17.9,6.3,2.3,4.55,,,,19.95,155.5,77.0,74.0,52.9,,197.0,130.0,,,2.38,,3726.0,Medium
+Central African Republic,MiddleAfrica,622984.0,4659,7.5,97.3,1633.0,4.8,333.2,34.9,24.8,40.4,72.2,4.3,23.4,6.9,,114.0,113.0,213.0,147.0,66.0,-472.0,0.4,40.0,2.6,5.1,,,,470.5,93.5,4.2,2.3,1.2,,,,8.6,20.4,4.6,60.0,35.6,,19.0,5.0,,,32.25,,1633.0,Low
+Chad,MiddleAfrica,1284000.0,14900,11.8,100.2,10009.0,6.6,713.0,25.4,39.0,35.6,76.6,2.0,21.4,5.8,,146.0,151.0,1990.0,1371.0,619.0,-472.0,3.3,22.5,3.4,6.3,,,,512.3,91.2,3.6,2.3,2.8,,,,12.8,40.2,2.7,43.0,4.0,,288.0,6.0,,,5.74,,10009.0,High
+Chile,SouthAmerica,756102.0,18055,24.3,98.2,240796.0,2.3,13416.2,3.9,32.8,63.3,9.6,22.9,67.5,6.8,,111.0,111.0,59884.0,58804.0,1080.0,-4761.0,0.9,89.5,1.1,1.8,,,,3.7,7.4,7.8,2.3,4.9,,,,15.8,129.5,64.3,100.0,23.4,,540.0,85.0,,,0.02,,240796.0,
+Colombia,SouthAmerica,1141748.0,49066,44.2,96.8,292080.0,3.1,6056.1,6.8,34.0,59.2,13.5,16.6,69.9,10.5,,114.0,115.0,31045.0,44831.0,-13786.0,-18922.0,1.0,76.4,1.7,1.9,,,,7127.0,17.9,7.2,2.3,4.5,,,,18.7,115.7,55.9,100.0,52.8,,5380.0,31.0,,,0.47,,292080.0,
+Comoros,EasternAfrica,2235.0,814,437.4,101.8,1079.0,4.8,1368.9,30.7,4.0,65.3,62.0,5.2,32.8,20.0,,107.0,107.0,20.0,193.0,-173.0,-472.0,2.4,28.3,2.7,4.6,,,,28.05,58.1,6.7,2.3,4.3,,,,6.1,54.8,7.5,100.0,20.1,,3.0,6.0,,,12.05,,1079.0,Low
+Congo,MiddleAfrica,342000.0,5261,15.4,100.1,8493.0,1.2,1838.1,4.7,70.0,25.3,40.7,25.8,33.5,11.5,,106.0,106.0,2540.0,9793.0,-7253.0,-472.0,2.6,65.4,3.2,4.9,,,,54.9,46.5,5.2,2.3,4.55,,,,7.4,111.7,7.6,100.0,65.4,,648.0,24.0,,,1.05,,8493.0,Medium
+Cook Islands,Polynesia,236.0,17,72.4,97.4,294.0,5.5,14118.7,8.1,9.0,82.9,4.3,11.7,84.0,8.2,,91.0,91.0,14.0,98.0,-84.0,-472.0,-1.2,74.5,0.9,2.6,,,,28.05,3.6,3.4,2.3,3.9,,,,19.95,108.1,49.95,75.0,62.9,,197.0,48.0,,,2.38,,294.0,Low
+Costa Rica,CentralAmerica,51100.0,4906,96.1,100.1,52958.0,3.7,11015.0,5.1,21.5,73.4,11.6,19.1,69.3,8.6,,127.0,129.0,9908.0,15322.0,-5414.0,-2493.0,1.1,76.8,2.7,1.9,,,,10.1,9.3,9.3,1.2,7.2,,,,35.1,150.7,59.8,100.0,53.4,,110.0,44.0,,,0.22,,52958.0,
+Croatia,SouthernEurope,56594.0,4189,74.9,93.1,48676.0,1.6,11479.4,4.1,26.6,69.3,9.2,26.8,64.0,11.7,,91.0,91.0,13648.0,21830.0,-8182.0,2492.0,-0.4,59.0,0.1,1.5,,,,15.5,3.9,7.8,3.1,4.6,,,,19.9,103.8,69.8,100.0,34.3,,182.0,79.0,,,2.38,,48676.0,High
+Cuba,Caribbean,109884.0,11485,107.9,100.1,87206.0,4.4,7656.6,5.0,20.5,74.5,12.9,11.7,75.3,3.0,,100.0,101.0,18000.0,4911.0,13089.0,-472.0,0.2,77.1,0.1,1.7,,,,0.4,5.5,11.1,7.5,4.55,,,,48.9,29.6,31.1,100.0,30.2,,212.0,47.0,,,2.38,,87206.0,
+Cyprus,WesternAsia,9251.0,1180,127.7,100.2,19561.0,1.7,21941.9,2.3,10.6,87.2,4.1,16.7,79.2,10.3,,80.0,80.0,1920.0,6604.0,-4684.0,-576.0,0.9,66.9,0.9,1.4,,,,16.2,4.2,7.4,2.5,6.1,,,,17.9,95.4,71.7,72.0,18.7,,5.0,72.0,,,2.38,,19561.0,High
+Czechia,EasternEurope,78868.0,10618,137.5,96.7,185156.0,4.5,17561.7,2.5,37.8,59.7,2.5,37.0,60.5,3.9,,102.0,102.0,161248.0,140316.0,20932.0,1683.0,0.1,73.0,0.3,1.5,,,,6.0,2.5,7.4,3.7,4.1,,,,20.0,129.2,81.3,53.0,34.5,,1221.0,164.0,,,2.38,,185156.0,
+Democratic People's Republic of Korea,EasternAsia,120538.0,25491,211.7,95.7,16283.0,-1.1,648.0,21.6,46.2,32.2,58.9,19.3,21.8,4.3,,104.0,103.0,1010.0,2757.0,-1748.0,-472.0,0.5,60.9,0.7,2.0,,,,28.05,18.5,6.3,2.8,4.55,,,,16.3,12.9,0.0,78.0,42.8,,871.0,20.0,,,2.38,,16283.0,High
+Democratic Republic of the Congo,MiddleAfrica,2344858.0,81340,35.9,99.6,37569.0,7.0,486.2,19.9,44.2,35.9,65.3,5.9,28.9,3.6,,104.0,104.0,5103.0,5906.0,-803.0,-1546.0,3.3,42.5,4.0,6.4,,,,2163.3,73.2,4.3,2.3,2.2,,,,8.9,53.0,3.8,100.0,67.4,,1179.0,16.0,,,8.01,,37569.0,High
+Denmark,NorthernEurope,42921.0,5734,135.1,99.0,301308.0,1.6,53149.3,1.2,22.9,75.8,2.4,19.2,78.4,6.0,,105.0,105.0,94355.0,85133.0,9222.0,27582.0,0.5,87.7,0.6,1.7,,,,48.2,3.5,10.8,3.6,8.6,,,,37.4,128.3,96.3,47.0,14.4,,666.0,119.0,,,2.38,,301308.0,
+Djibouti,EasternAfrica,23200.0,957,41.3,100.7,1737.0,6.5,1956.3,3.3,21.4,75.3,22.8,23.9,53.2,6.6,,133.0,133.0,134.0,987.0,-852.0,-548.0,1.7,77.3,1.6,3.1,,,,19.9,55.3,10.6,0.2,4.55,,,,10.8,34.7,11.9,98.0,0.2,,3.0,13.0,,,2.38,,1737.0,Low
+Dominica,Caribbean,750.0,74,98.6,103.0,512.0,-1.8,7051.1,15.4,13.2,71.5,18.05,19.2,59.6,6.6,,110.0,111.0,23.0,214.0,-191.0,-72.0,0.5,69.5,0.8,2.3,,,,28.05,17.9,5.5,2.3,4.55,,,,25.0,106.3,67.6,66.0,58.1,,0.0,29.0,,,2.36,,512.0,Low
+Dominican Republic,Caribbean,48671.0,10767,222.8,99.2,67103.0,7.0,6373.6,6.6,28.0,65.4,13.1,16.9,70.0,14.4,,136.0,138.0,3747.0,22725.0,-18978.0,-1335.0,1.2,79.0,2.6,2.5,,,,1.3,25.1,4.4,1.5,4.55,,,,26.8,82.6,51.9,100.0,40.4,,28.0,28.0,,,0.43,,67103.0,
+Ecuador,SouthAmerica,257217.0,16625,66.9,99.9,100177.0,0.2,6205.1,10.1,34.1,55.8,25.7,19.2,55.1,5.8,,118.0,119.0,16798.0,16189.0,609.0,-2201.0,1.6,63.7,1.9,2.6,,,,133.1,21.1,9.2,1.7,5.0,,,,41.6,79.4,48.9,100.0,50.8,,1247.0,42.0,,,0.31,,100177.0,
+Egypt,NorthernAfrica,1002000.0,97553,98.0,102.3,315917.0,4.2,3452.3,11.2,36.3,52.5,25.4,25.3,49.3,11.5,,120.0,122.0,22507.0,58053.0,-35545.0,-16786.0,2.2,43.1,1.7,3.4,,,,256.5,18.9,5.6,0.8,4.55,,,,14.9,111.0,35.9,100.0,0.1,,3509.0,36.0,,,0.78,,315917.0,
+El Salvador,CentralAmerica,21041.0,6378,307.8,88.5,25850.0,2.5,4219.4,10.8,25.8,63.3,18.6,20.2,61.2,6.4,,111.0,117.0,5335.0,9855.0,-4519.0,-920.0,0.5,66.7,1.4,2.2,,,,4.7,17.0,6.8,2.3,3.5,,,,32.1,145.3,26.9,86.0,13.0,,86.0,28.0,,,0.36,,25850.0,High
+Equatorial Guinea,MiddleAfrica,28052.0,1268,45.2,124.0,13812.0,-7.4,16344.1,1.2,73.1,25.7,18.8,18.0,63.2,7.7,,117.0,118.0,7443.0,5456.0,1987.0,-472.0,4.2,39.9,3.1,5.0,,,,28.05,70.0,3.8,2.3,4.55,,,,24.0,66.7,21.3,100.0,56.3,,841.0,87.0,,,0.15,,13812.0,High
+Eritrea,EasternAfrica,117600.0,5069,50.2,100.4,4783.0,4.8,914.9,17.2,23.5,59.3,57.0,7.6,35.4,7.3,,109.0,109.0,16.0,3325.0,-3310.0,-472.0,2.0,22.6,5.1,4.4,,,,2.3,45.0,3.3,2.3,4.55,,,,22.0,7.0,1.1,100.0,15.0,,27.0,7.0,,,2.38,,4783.0,Medium
+Estonia,NorthernEurope,45227.0,1310,30.9,88.2,22460.0,1.4,17112.0,3.4,27.4,69.2,3.8,29.0,67.3,7.2,,136.0,136.0,13952.0,15759.0,-1807.0,493.0,-0.3,67.5,-0.4,1.6,,,,84.2,3.2,6.4,3.3,5.5,,,,26.7,148.7,88.4,23.0,52.7,,242.0,193.0,,,2.38,,22460.0,High
+Ethiopia,EasternAfrica,1104300.0,104957,105.0,99.7,59917.0,9.6,602.8,40.5,16.0,43.5,70.5,8.4,21.1,5.7,,158.0,157.0,1724.0,19121.0,-17397.0,-472.0,2.6,19.5,4.9,4.6,,,,745.7,45.8,4.9,2.3,4.5,,,,38.8,42.8,11.6,100.0,12.5,,1308.0,15.0,,,5.28,,59917.0,
+Fiji,Melanesia,18272.0,906,49.6,103.1,4391.0,3.6,4921.9,11.3,18.1,70.7,21.3,2.9,75.8,7.7,,88.0,88.0,926.0,2316.0,-1391.0,-72.0,0.7,53.7,1.5,2.6,,,,28.05,16.0,4.5,2.3,3.9,,,,16.0,108.2,46.3,100.0,55.4,,8.0,26.0,,,2.46,,4391.0,Medium
+Finland,NorthernEurope,338440.0,5523,18.2,97.2,231960.0,0.2,42148.1,2.5,26.8,70.6,4.2,22.0,73.8,8.9,,101.0,101.0,57326.0,60502.0,-3176.0,-979.0,0.4,84.2,0.5,1.8,,,,32.6,2.3,9.7,3.0,7.2,,,,42.0,135.5,92.7,36.0,73.1,,757.0,257.0,,,2.38,,231960.0,
+France,WesternEurope,551500.0,64980,118.7,96.7,2418946.0,1.3,36304.2,1.7,19.5,78.8,2.7,20.5,76.8,9.8,,103.0,103.0,488885.0,560555.0,-71670.0,-4861.0,0.4,79.5,0.8,2.0,,,,356.2,3.4,11.5,3.2,5.5,,,,25.8,102.6,84.7,100.0,30.8,,5694.0,158.0,,,2.38,,2418946.0,
+French Polynesia,Polynesia,4000.0,283,77.3,103.7,5135.0,1.6,18161.0,2.8,11.9,85.2,8.9,16.9,74.2,17.0,,98.0,98.0,173.0,1491.0,-1319.0,208.0,0.7,55.9,0.9,2.1,,,,28.05,6.9,6.3,2.3,4.55,,,,19.95,94.9,64.6,100.0,42.3,,1.0,43.0,,,2.38,,5135.0,Medium
+Gabon,MiddleAfrica,267668.0,2025,7.9,105.6,13735.0,3.9,7960.7,3.8,54.5,41.7,16.2,19.1,64.8,18.1,,97.0,92.0,2851.0,2930.0,-79.0,-472.0,3.3,87.2,2.7,4.0,,,,2.9,40.8,3.4,2.3,2.7,,,,17.1,168.9,23.5,100.0,88.5,,559.0,64.0,,,0.73,,13735.0,High
+Gambia,WesternAfrica,11295.0,2101,207.6,98.0,942.0,4.7,473.2,21.1,14.9,64.0,30.4,14.4,55.2,29.7,,82.0,82.0,32.0,471.0,-439.0,-472.0,3.1,59.6,4.3,5.6,,,,7.9,49.8,7.3,2.3,2.8,,,,9.4,131.3,17.1,67.0,48.1,,7.0,7.0,,,12.35,,942.0,Low
+Georgia,WesternAsia,69700.0,3912,56.3,91.4,13965.0,2.8,3491.4,9.0,24.1,66.9,44.7,11.2,44.1,11.4,,85.0,86.0,2114.0,7236.0,-5122.0,-1775.0,-1.4,53.6,-0.1,2.0,,,,274.1,11.2,7.4,4.8,2.0,,,,16.0,129.0,45.2,100.0,40.6,,61.0,47.0,,,3.3,,13965.0,High
+Germany,WesternEurope,357376.0,82114,235.6,97.0,3363600.0,1.7,41686.2,0.6,30.5,68.9,1.4,27.5,71.2,4.2,,111.0,111.0,1340752.0,1060672.0,280080.0,279969.0,0.2,75.3,0.2,1.4,,,,1052.1,3.4,11.3,4.1,5.0,,,,37.0,116.7,87.6,100.0,32.7,,5004.0,158.0,,,2.38,,3363600.0,
+Ghana,WesternAfrica,238537.0,28834,126.7,99.3,37156.0,3.9,1355.6,19.0,26.9,54.1,41.9,14.2,43.8,5.9,,144.0,144.0,7221.0,11939.0,-4718.0,-2809.0,2.4,54.0,3.4,4.2,,,,27.3,46.5,3.6,2.3,6.2,,,,12.7,129.7,23.5,100.0,40.9,,410.0,14.0,,,4.81,,37156.0,High
+Greece,SouthernEurope,131957.0,11160,86.6,96.9,194860.0,-0.2,17788.0,4.1,15.7,80.2,12.9,15.0,72.1,23.0,,86.0,87.0,27811.0,47595.0,-19784.0,218.0,-0.4,78.0,0.5,1.3,,,,94.7,3.3,8.1,6.3,4.55,,,,18.3,114.0,66.8,100.0,31.2,,368.0,89.0,,,2.38,,194860.0,
+Greenland,NorthernAmerica,2166086.0,56,0.1,112.1,2078.0,0.3,36976.7,10.0,15.9,74.1,4.6,12.6,82.5,9.7,,99.0,99.0,553.0,623.0,-71.0,-472.0,-0.1,86.4,0.7,2.0,,,,28.05,17.9,6.3,2.3,4.55,,,,19.95,106.5,67.6,23.0,32.900000000000006,,2.0,154.0,,,2.38,,2078.0,Medium
+Grenada,Caribbean,345.0,108,317.1,100.9,954.0,6.2,8933.8,8.3,13.9,77.8,18.05,19.2,59.6,6.6,,103.0,103.0,30.0,350.0,-320.0,-213.0,0.4,35.6,0.3,2.2,,,,28.05,9.6,6.1,2.3,4.55,,,,33.3,112.2,53.8,54.0,50.0,,0.0,35.0,,,2.55,,954.0,Low
+Guatemala,CentralAmerica,108889.0,16914,157.8,96.9,63794.0,4.1,3903.5,10.8,27.2,62.0,32.0,18.5,49.4,2.4,,158.0,158.0,10572.0,16987.0,-6415.0,-96.0,2.1,51.6,3.4,3.2,,,,1.8,26.9,6.2,2.3,3.0,,,,12.7,111.5,27.1,100.0,33.4,,327.0,32.0,,,0.66,,63794.0,
+Guinea-Bissau,WesternAfrica,36125.0,1861,66.2,96.9,978.0,4.8,530.0,45.0,14.5,40.5,60.1,5.8,34.1,6.5,,137.0,138.0,885.0,212.0,673.0,-53.0,2.6,49.3,4.1,4.9,,,,8.8,80.4,5.6,2.3,2.2,,,,13.7,69.3,3.5,77.0,70.5,,25.0,17.0,,,9.03,,978.0,Low
+Guinea,WesternAfrica,245857.0,12717,51.8,100.6,8875.0,0.1,703.9,19.8,32.8,47.4,69.7,7.4,22.9,6.8,,130.0,131.0,1753.0,2082.0,-329.0,-1240.0,2.3,37.2,3.8,5.1,,,,9.2,65.7,5.6,2.3,3.2,,,,21.9,87.2,4.7,100.0,26.0,,113.0,12.0,,,8.65,,8875.0,Medium
+Guyana,SouthAmerica,214969.0,778,4.0,101.9,3282.0,3.1,4278.8,17.6,31.7,50.6,18.4,25.4,56.2,11.3,,142.0,143.0,1453.0,1625.0,-172.0,-144.0,0.6,28.6,0.8,2.6,,,,28.05,33.2,5.2,2.3,3.2,,,,31.9,67.2,38.2,94.0,84.0,,7.0,46.0,,,0.97,,3282.0,Medium
+Haiti,Caribbean,27750.0,10981,398.4,97.8,8501.0,1.7,793.7,16.7,38.2,45.1,46.9,12.6,40.6,12.9,,163.0,166.0,984.0,3316.0,-2332.0,-723.0,1.4,58.6,3.8,3.1,,,,1.9,46.9,7.6,2.3,4.55,,,,2.6,69.9,12.2,100.0,3.5,,136.0,16.0,,,11.73,,8501.0,Medium
+Honduras,CentralAmerica,112492.0,9265,82.8,99.4,20365.0,3.6,2521.9,13.0,25.1,61.9,29.4,21.6,49.0,5.6,,122.0,119.0,3657.0,8448.0,-4791.0,-1291.0,1.8,54.7,3.1,2.6,,,,176.2,27.8,8.7,2.3,5.9,,,,25.8,95.5,20.4,100.0,42.1,,105.0,28.0,,,2.86,,20365.0,High
+Hungary,EasternEurope,93024.0,9722,107.4,90.7,121715.0,3.1,12350.6,4.1,31.9,64.0,4.3,29.8,65.9,4.5,,99.0,99.0,103071.0,92044.0,11027.0,3946.0,-0.3,71.2,0.5,1.3,,,,14.4,4.9,7.4,3.3,4.7,,,,10.1,118.9,72.8,66.0,22.8,,423.0,97.0,,,2.38,,121715.0,
+Iran (Islamic Republic of),SouthernAsia,1628750.0,81163,49.8,101.2,398563.0,0.4,5038.1,8.6,39.1,52.3,16.6,32.5,50.9,11.3,,106.0,107.0,45627.0,35333.0,10294.0,-472.0,1.2,73.4,2.1,1.7,,,,978.3,14.8,7.5,1.5,2.9,,,,5.9,93.4,44.1,100.0,6.6,,13291.0,127.0,,,0.02,,398563.0,
+Iraq,WesternAsia,435052.0,38275,88.1,102.5,164234.0,-2.4,4509.0,4.6,58.0,37.4,20.4,21.0,58.6,16.1,,123.0,123.0,27341.0,45831.0,-18490.0,4121.0,3.2,69.5,3.0,4.6,,,,4736.2,32.1,5.5,0.9,4.55,,,,25.3,93.8,17.2,72.0,1.9,,6744.0,58.0,,,0.88,,164234.0,
+Ireland,NorthernEurope,69797.0,4762,69.1,98.4,283716.0,26.3,60513.6,1.0,41.7,57.3,4.8,17.7,77.4,7.6,,102.0,102.0,129315.0,76997.0,52318.0,28967.0,0.3,63.2,1.6,2.0,,,,10.5,3.4,7.8,2.8,5.3,,,,22.2,103.7,80.1,50.0,10.9,,84.0,114.0,,,2.38,,283716.0,
+Israel,WesternAsia,22072.0,8322,384.5,98.7,299413.0,2.5,37129.4,1.3,21.2,77.5,1.0,17.9,81.0,5.9,,112.0,112.0,60571.0,65803.0,-5232.0,13642.0,1.6,92.1,1.4,3.0,,,,44.7,3.4,7.8,3.6,5.8,,,,27.5,133.5,78.9,100.0,7.5,,313.0,119.0,,,2.38,,299413.0,
+Italy,SouthernEurope,302073.0,59360,201.8,95.1,1821580.0,0.7,30462.4,2.2,23.5,74.2,3.5,27.1,69.4,11.4,,89.0,89.0,461529.0,404578.0,56951.0,29348.0,-0.1,69.0,0.4,1.4,,,,216.7,3.0,9.2,3.9,4.1,,,,31.0,151.3,65.6,100.0,31.4,,1539.0,103.0,,,2.38,,1821580.0,
+Jamaica,Caribbean,10990.0,2890,266.9,99.0,14262.0,1.0,5105.8,7.1,22.3,70.5,17.9,15.3,66.8,13.1,,102.0,102.0,1202.0,4767.0,-3565.0,-400.0,0.4,54.8,0.9,2.1,,,,28.05,15.0,5.4,2.3,5.5,,,,17.5,111.5,43.2,100.0,31.0,,8.0,37.0,,,0.42,,14262.0,High
+Japan,EasternAsia,377930.0,127484,349.7,95.4,4383076.0,1.2,34628.7,1.2,26.4,72.4,3.7,26.5,69.8,3.0,,96.0,97.0,644932.0,606924.0,38008.0,135608.0,-0.1,93.5,0.6,1.4,,,,19.4,2.2,10.2,2.3,3.6,,,,9.3,125.0,93.3,100.0,68.5,,1114.0,146.0,,,2.38,,4383076.0,
+Jordan,WesternAsia,89318.0,9702,109.3,102.6,37517.0,2.4,4940.1,4.0,27.7,68.4,2.0,17.8,80.2,13.4,,134.0,135.0,7509.0,19207.0,-11698.0,-3332.0,4.9,83.7,3.8,3.6,,,,721.4,17.1,7.5,2.6,4.55,,,,15.4,179.4,53.4,100.0,1.1,,7.0,47.0,,,5.8,,37517.0,High
+Kazakhstan,CentralAsia,2724902.0,18204,6.7,93.9,181754.0,1.2,10312.1,5.0,32.5,62.5,18.1,20.4,61.6,5.6,,126.0,127.0,36775.0,25175.0,11601.0,-5464.0,1.6,53.2,0.9,2.7,,,,9.2,14.1,4.4,3.3,2.8,,,,27.1,187.2,72.9,82.0,1.2,,7091.0,193.0,,,0.05,,181754.0,
+Kenya,EasternAfrica,591958.0,49700,87.3,98.8,63399.0,5.6,1376.7,32.0,19.0,49.0,61.9,8.6,29.5,10.8,,126.0,126.0,5688.0,14109.0,-8420.0,-6339.0,2.7,25.6,4.3,4.1,,,,582.4,39.4,5.7,0.2,5.3,,,,19.4,80.7,45.6,100.0,7.7,,750.0,20.0,,,3.93,,63399.0,
+Kiribati,Micronesia,726.0,116,143.7,97.3,162.0,3.7,1442.9,24.1,13.6,62.2,18.05,19.2,59.6,6.6,,61.0,61.0,3.0,116.0,-113.0,45.0,1.8,44.3,1.8,3.8,,,,28.05,46.9,10.2,0.2,4.55,,,,6.5,38.8,13.0,100.0,15.0,,0.0,8.0,,,20.05,,162.0,Low
+Kyrgyzstan,CentralAsia,199949.0,6045,31.5,98.4,6572.0,3.5,1106.4,15.4,25.9,58.7,29.2,21.0,49.8,7.7,,108.0,110.0,1423.0,3844.0,-2421.0,-721.0,1.6,35.7,1.6,3.1,,,,8.2,19.6,6.5,1.9,5.5,,,,19.2,132.8,30.2,44.0,3.4,,80.0,27.0,,,12.16,,6572.0,Medium
+Lao People's Democratic Republic,South-easternAsia,236800.0,6858,29.7,99.5,12585.0,7.6,1850.2,23.6,32.8,43.6,78.3,4.0,17.7,1.5,,193.0,186.0,2066.0,4513.0,-2447.0,-2264.0,1.3,38.6,4.9,2.9,,,,28.05,47.3,1.9,0.2,3.3,,,,27.5,53.1,18.2,100.0,80.5,,72.0,12.0,,,4.03,,12585.0,High
+Latvia,NorthernEurope,64573.0,1950,31.3,84.9,27004.0,2.7,13704.1,3.2,23.3,73.5,7.3,23.0,69.7,9.6,,130.0,130.0,11433.0,13596.0,-2163.0,-210.0,-1.2,67.4,-0.7,1.5,,,,252.6,6.5,5.9,3.2,5.3,,,,16.0,127.0,79.2,30.0,54.0,,108.0,99.0,,,2.38,,27004.0,High
+Lebanon,WesternAsia,10452.0,6082,594.6,100.6,50149.0,1.5,8571.4,3.2,19.6,77.2,8.2,22.4,69.4,7.0,,95.0,95.0,3402.0,20409.0,-17007.0,-8146.0,6.0,87.8,3.2,1.7,,,,1054.2,9.2,6.4,2.4,2.6,,,,3.1,87.1,74.0,87.0,13.4,,7.0,55.0,,,2.04,,50149.0,
+Lesotho,SouthernAfrica,30355.0,2233,73.6,94.4,2008.0,2.8,940.6,7.7,31.3,61.0,39.7,20.0,40.3,27.5,,101.0,100.0,648.0,1727.0,-1079.0,-168.0,1.3,27.3,3.0,3.3,,,,28.05,59.8,10.6,2.3,4.55,,,,25.0,105.5,16.1,18.0,1.6,,31.0,28.0,,,4.11,,2008.0,Medium
+Liberia,WesternAfrica,111369.0,4732,49.1,101.8,2053.0,0.3,455.9,70.8,11.4,17.9,45.3,11.7,43.0,4.1,,104.0,121.0,641.0,727.0,-86.0,-860.0,2.6,49.7,3.4,4.8,,,,22.1,59.0,10.0,2.3,2.8,,,,12.3,81.1,5.9,100.0,43.7,,73.0,19.0,,,61.73,,2053.0,Medium
+Libya,NorthernAfrica,1676198.0,6375,3.6,101.7,34457.0,-10.2,5488.2,0.9,67.1,32.0,19.1,25.1,55.8,19.2,,113.0,114.0,4615.0,8876.0,-4261.0,-108.0,0.2,78.6,1.1,2.4,,,,472.5,24.3,5.0,2.1,4.55,,,,16.0,157.0,19.0,63.0,0.1,,1505.0,119.0,,,0.51,,34457.0,High
+Lithuania,NorthernEurope,65286.0,2890,46.1,85.4,41402.0,1.8,14383.7,3.6,29.8,66.5,8.7,24.5,66.8,9.2,,125.0,125.0,25025.0,27501.0,-2476.0,-977.0,-1.3,66.5,-0.5,1.6,,,,4.7,4.4,6.6,4.3,4.6,,,,21.3,139.5,71.4,26.0,34.8,,74.0,98.0,,,2.38,,41402.0,High
+Madagascar,EasternAfrica,587295.0,25571,44.0,99.5,9739.0,3.1,401.8,24.9,18.4,56.7,74.2,9.4,16.5,2.3,,119.0,120.0,2256.0,2965.0,-709.0,-622.0,2.7,35.1,4.7,4.4,,,,0.1,36.8,3.0,0.1,2.1,,,,19.2,46.0,4.2,100.0,21.5,,129.0,7.0,,,7.05,,9739.0,Medium
+Malawi,EasternAfrica,118484.0,18622,197.5,98.2,6420.0,3.0,372.9,26.1,16.6,57.3,69.9,4.8,25.4,6.8,,149.0,150.0,875.0,1649.0,-774.0,-710.0,2.9,16.3,3.8,4.9,,,,25.7,66.5,11.4,2.3,5.6,,,,16.7,35.3,9.3,100.0,33.6,,89.0,6.0,,,16.53,,6420.0,Medium
+Malaysia,South-easternAsia,330323.0,31624,96.3,106.7,296284.0,5.0,9768.4,8.6,39.6,51.8,11.8,27.3,60.9,3.3,,122.0,130.0,189414.0,168375.0,21039.0,8960.0,1.8,74.7,2.7,2.1,,,,238.6,6.5,4.2,1.3,5.0,,,,10.4,143.9,71.1,100.0,67.5,,3738.0,118.0,,,0.0,,296284.0,
+Mali,WesternAfrica,1240192.0,18542,15.2,100.2,13100.0,7.6,744.3,39.9,19.6,40.5,56.7,14.7,28.6,8.1,,154.0,157.0,3030.0,2510.0,520.0,-676.0,2.9,39.9,5.1,6.4,,,,90.8,78.5,7.0,2.3,3.7,,,,8.8,139.6,10.3,42.0,3.9,,55.0,4.0,,,9.45,,13100.0,High
+Marshall Islands,Micronesia,181.0,53,295.2,104.5,183.0,0.6,3452.6,16.4,10.2,73.3,18.05,19.2,59.6,4.7,,115.0,115.0,27.0,86.0,-58.0,-5.0,0.2,72.7,0.6,4.1,,,,28.05,25.4,17.1,0.5,4.55,,,,9.1,29.2,19.3,100.0,70.2,,0.0,27.0,,,24.11,,183.0,Low
+Mauritania,WesternAfrica,1030700.0,4420,4.3,101.6,5023.0,1.2,1235.0,20.9,41.7,37.4,40.3,9.5,50.2,12.0,,125.0,125.0,1623.0,2174.0,-551.0,-1066.0,2.9,59.9,3.5,4.9,,,,69.0,68.0,3.8,2.3,2.9,,,,25.2,89.3,15.2,86.0,0.2,,31.0,13.0,,,5.02,,5023.0,Medium
+Mauritius,EasternAfrica,1969.0,1265,623.2,97.9,11511.0,3.5,9040.9,2.9,22.7,74.4,7.3,25.2,67.5,7.6,,96.0,96.0,2194.0,4655.0,-2461.0,-566.0,0.2,39.7,-0.1,1.5,,,,28.05,12.0,4.8,2.3,4.9,,,,11.6,140.6,50.1,100.0,19.0,,10.0,51.0,,,0.67,,11511.0,High
+Mexico,CentralAmerica,1964375.0,129163,66.4,99.2,1140724.0,2.5,8980.9,3.6,36.0,60.4,13.4,25.2,61.3,4.1,,120.0,120.0,373883.0,387064.0,-13181.0,-33216.0,1.4,79.2,1.6,2.3,,,,5.9,18.8,6.3,2.1,5.3,,,,42.6,85.3,57.4,100.0,34.0,,8514.0,62.0,,,0.03,,1140724.0,
+Micronesia (Federated States of),Micronesia,702.0,106,150.8,105.1,315.0,3.7,3015.2,27.8,6.5,65.8,18.05,19.2,59.6,6.6,,99.0,99.0,6.0,40.0,-34.0,22.0,0.2,22.4,0.3,3.3,,,,28.05,33.2,13.7,2.3,12.5,,,,0.0,30.3,31.5,100.0,91.8,,0.0,22.0,,,34.11,,315.0,Low
+Mongolia,EasternAsia,1564116.0,3076,2.0,97.9,11758.0,2.3,3973.4,14.8,34.1,51.1,28.4,20.7,51.0,6.3,,147.0,149.0,4917.0,3358.0,1559.0,-948.0,1.9,72.0,2.8,2.8,,,,28.05,22.8,4.7,2.9,4.6,,,,17.1,105.0,21.4,41.0,8.1,,677.0,84.0,,,2.21,,11758.0,High
+Montenegro,SouthernEurope,13812.0,629,46.8,97.4,4020.0,4.5,6424.1,9.8,17.5,72.6,7.5,17.3,75.2,17.4,,66.0,66.0,354.0,2263.0,-1908.0,-533.0,0.1,64.0,0.3,1.7,,,,16.0,4.1,6.4,2.3,4.55,,,,23.5,162.2,64.6,98.0,61.5,,29.0,64.0,,,2.44,,4020.0,Medium
+Montserrat,Caribbean,103.0,5,51.8,106.0,59.0,0.4,11553.4,1.4,12.7,85.9,18.05,19.2,59.6,5.6,,103.0,103.0,4.0,36.0,-32.0,-27.0,0.7,9.0,0.7,2.3,,,,28.05,17.9,6.3,2.3,4.55,,,,19.95,96.6,54.6,55.0,25.0,,197.0,133.0,,,2.38,,59.0,Low
+Morocco,NorthernAfrica,446550.0,35740,80.1,98.1,100359.0,4.4,2919.3,13.7,28.9,57.4,32.6,20.7,46.8,10.4,,130.0,130.0,22858.0,41696.0,-18838.0,-2161.0,1.4,60.2,2.3,2.6,,,,6.4,28.1,5.9,0.6,4.55,,,,20.5,126.9,57.1,100.0,12.6,,78.0,23.0,,,1.51,,100359.0,
+Mozambique,EasternAfrica,799380.0,29669,37.7,95.5,14806.0,6.6,529.2,24.6,21.0,54.4,75.0,4.1,21.0,24.1,,137.0,137.0,3352.0,5295.0,-1943.0,-5833.0,2.9,32.2,3.3,5.4,,,,24.0,67.3,7.0,0.1,6.5,,,,39.6,74.2,9.0,100.0,48.5,,779.0,20.0,,,12.54,,14806.0,High
+Myanmar,South-easternAsia,676577.0,53371,81.7,95.5,62601.0,7.3,1161.5,26.7,34.5,38.7,23.6,14.6,61.7,0.8,,130.0,128.0,11673.0,15696.0,-4023.0,-3921.0,0.9,34.1,2.5,2.3,,,,1392.1,45.0,2.3,0.6,4.55,,,,10.2,76.7,21.8,100.0,45.3,,1078.0,15.0,,,2.23,,62601.0,
+Namibia,SouthernAfrica,824116.0,2534,3.1,94.7,11491.0,5.3,4673.6,6.6,30.6,62.8,29.1,14.6,56.3,24.9,,88.0,89.0,4816.0,6721.0,-1905.0,-1700.0,2.2,46.7,4.2,3.6,,,,4.8,36.4,6.3,2.3,4.55,,,,41.3,102.1,22.3,100.0,8.5,,19.0,31.0,,,1.24,,11491.0,High
+Nauru,Micronesia,21.0,11,568.0,101.9,189.0,18.7,18469.2,3.0,59.9,37.1,18.05,19.2,59.6,23.0,,112.0,112.0,4763.5,7550.0,-1011.5,-472.0,2.3,100.0,0.2,3.9,,,,0.8,18.0,3.3,2.3,4.55,,,,10.5,67.8,54.0,82.0,0.0,,0.0,63.0,,,2.38,,189.0,Low
+Nepal,SouthernAsia,147181.0,29305,204.4,94.3,20658.0,2.7,724.5,31.8,14.9,53.3,72.6,10.9,16.5,3.0,,139.0,139.0,703.0,5249.0,-4547.0,2447.0,1.2,18.6,3.2,2.3,,,,30.7,32.8,5.8,2.3,3.7,,,,29.6,96.8,17.6,100.0,25.4,,451.0,19.0,,,5.73,,20658.0,High
+Netherlands,WesternEurope,41542.0,17036,505.2,99.0,750318.0,2.0,44332.1,1.8,20.0,78.2,2.2,15.9,81.9,5.6,,115.0,115.0,511714.0,420969.0,90745.0,65129.0,0.3,90.5,1.0,1.7,,,,116.3,3.5,10.9,3.4,5.5,,,,38.0,123.5,93.1,40.0,11.1,,2447.0,178.0,,,2.38,,750318.0,
+New Caledonia,Melanesia,18575.0,276,15.1,101.5,8937.0,3.2,33965.7,1.4,26.0,72.6,3.0,26.9,70.1,15.1,,102.0,103.0,1344.0,2422.0,-1079.0,-1469.0,1.4,70.2,2.2,2.2,,,,28.05,13.0,6.3,2.3,4.55,,,,19.95,93.5,74.0,100.0,45.9,,1.0,215.0,,,2.38,,8937.0,Medium
+New Zealand,Oceania,268107.0,4706,17.9,96.7,173417.0,3.1,38294.3,6.5,23.0,70.6,5.9,21.4,72.6,5.5,,116.0,118.0,33833.0,36423.0,-2589.0,-5501.0,1.1,86.3,1.0,2.0,,,,1.7,4.4,11.0,2.9,6.4,,,,34.2,121.8,88.2,100.0,38.6,,783.0,207.0,,,2.38,,173417.0,
+Nicaragua,CentralAmerica,130373.0,6218,51.7,97.2,12693.0,4.9,2086.9,18.8,26.8,54.4,24.1,14.5,61.4,6.1,,130.0,130.0,2225.0,5927.0,-3701.0,-1045.0,1.2,58.8,2.0,2.3,,,,0.6,20.0,9.0,0.9,4.55,,,,45.7,116.1,19.7,100.0,25.9,,91.0,26.0,,,3.68,,12693.0,High
+Niger,WesternAfrica,1267000.0,21477,17.0,100.6,7143.0,3.6,359.0,39.6,19.1,41.3,62.3,14.4,23.3,2.7,,148.0,148.0,927.0,1861.0,-933.0,-1150.0,3.8,18.7,5.1,7.4,,,,312.5,65.8,6.0,2.3,6.7,,,,17.0,46.5,2.2,34.0,0.9,,101.0,5.0,,,12.26,,7143.0,Medium
+Nigeria,WesternAfrica,923768.0,190886,209.6,102.7,494583.0,2.7,2714.5,20.9,20.4,58.8,27.9,14.7,57.4,5.4,,116.0,117.0,104084.0,36533.0,67551.0,-15763.0,2.7,47.8,4.7,5.7,,,,2437.5,76.3,3.7,2.3,4.55,,,,5.6,82.2,47.4,100.0,8.1,,10851.0,32.0,,,0.52,,494583.0,
+Oman,WesternAsia,309500.0,4636,15.0,192.8,69832.0,5.7,15550.8,1.5,51.1,47.3,5.0,39.6,55.4,17.8,,134.0,134.0,24455.0,23260.0,1195.0,-10807.0,6.5,77.6,8.5,2.9,,,,0.6,9.6,3.6,1.5,5.0,,,,1.2,159.9,74.2,99.0,32.900000000000006,,3101.0,239.0,,,2.38,,69832.0,
+Pakistan,SouthernAsia,796095.0,197016,255.6,105.6,266458.0,5.5,1410.4,25.5,19.0,55.5,42.1,19.8,38.1,5.9,,135.0,138.0,20534.0,46998.0,-26464.0,-1603.0,2.1,38.8,2.8,3.7,,,,2739.4,69.8,2.6,0.8,2.6,,,,20.6,66.9,18.0,100.0,2.0,,2202.0,17.0,,,1.32,,266458.0,
+Palau,Micronesia,459.0,22,47.2,113.3,258.0,5.7,12122.5,3.8,8.0,88.2,18.05,19.2,59.6,6.6,,113.5,115.0,7.0,154.0,-147.0,-24.0,0.8,87.1,1.7,2.2,,,,28.05,13.3,9.0,2.3,4.55,,,,12.5,111.5,49.95,100.0,87.6,,197.0,172.0,,,5.05,,258.0,Low
+Panama,CentralAmerica,75320.0,4099,55.1,100.4,52132.0,5.8,13268.1,2.8,27.1,70.0,14.5,19.6,65.9,6.2,,117.0,118.0,636.0,11697.0,-11061.0,-3377.0,1.7,66.6,2.1,2.6,,,,21.5,15.2,8.0,1.6,3.2,,,,18.3,174.2,51.2,100.0,62.3,,31.0,35.0,,,0.02,,52132.0,
+Papua New Guinea,Melanesia,462840.0,8251,18.2,103.5,21315.0,6.6,2797.6,20.1,28.2,51.8,68.3,5.7,26.0,2.5,,84.0,83.0,8760.0,8874.0,-114.0,5326.0,2.2,13.0,2.1,3.8,,,,9.7,49.0,4.3,2.3,4.55,,,,2.7,46.6,7.9,100.0,74.1,,114.0,22.0,,,3.51,,21315.0,High
+Paraguay,SouthAmerica,406752.0,6811,17.1,102.9,27714.0,3.1,4174.4,19.0,29.5,51.6,19.6,19.5,61.0,5.5,,160.0,166.0,8494.0,9753.0,-1259.0,-462.0,1.3,59.7,2.1,2.6,,,,0.2,28.8,9.8,1.3,5.0,,,,13.8,105.4,44.4,59.0,39.4,,325.0,38.0,,,0.22,,27714.0,High
+Peru,SouthAmerica,1285216.0,32166,25.1,99.8,190428.0,3.3,6069.1,7.6,33.3,59.2,24.4,17.3,58.3,5.3,,145.0,148.0,36040.0,36185.0,-145.0,-9210.0,1.3,78.6,1.7,2.5,,,,2.5,18.6,5.5,1.1,4.0,,,,27.7,109.9,40.9,100.0,57.9,,1020.0,30.0,,,0.18,,190428.0,
+Philippines,South-easternAsia,300000.0,104918,351.9,101.3,292449.0,5.9,2904.2,10.5,31.3,58.2,27.7,16.3,56.1,5.9,,122.0,120.0,56313.0,85909.0,-29596.0,7694.0,1.6,44.4,1.3,3.0,,,,240.2,22.2,4.7,2.3,4.55,,,,29.5,118.1,40.7,100.0,26.2,,991.0,19.0,,,0.15,,292449.0,
+Poland,EasternEurope,312679.0,38171,124.6,93.4,477066.0,3.9,12355.5,2.6,34.1,63.3,10.9,29.6,59.5,5.3,,113.0,113.0,196455.0,188518.0,7937.0,-2932.0,1.3,60.5,-0.1,1.3,,,,23.7,4.5,6.4,2.3,4.9,,,,28.0,148.7,68.0,58.0,30.7,,2819.0,102.0,,,2.38,,477066.0,
+Portugal,SouthernEurope,92226.0,10330,112.8,89.8,199122.0,1.6,19239.2,2.3,22.3,75.4,8.0,23.8,68.2,10.5,,104.0,104.0,55658.0,67580.0,-11922.0,842.0,-0.4,63.5,1.0,1.3,,,,1.8,2.9,9.5,4.4,5.1,,,,34.8,110.4,68.6,100.0,34.9,,250.0,84.0,,,2.38,,199122.0,
+Puerto Rico,Caribbean,8868.0,3663,413.0,92.6,102906.0,2.9,27939.0,0.8,50.0,49.1,2.0,17.5,80.5,12.8,,110.0,111.0,4763.5,7550.0,-1011.5,-472.0,-0.2,93.6,-0.2,1.5,,,,28.05,6.3,6.3,2.3,6.4,,,,19.95,87.1,79.5,100.0,55.5,,1.0,16.0,,,2.38,,102906.0,
+Republic of Korea,EasternAsia,100284.0,50982,524.3,100.2,1377873.0,2.6,27396.7,2.3,38.0,59.7,5.0,24.7,70.3,3.6,,104.0,104.0,495418.0,406182.0,89236.0,105871.0,0.4,82.5,0.7,1.2,,,,8.0,3.0,7.4,2.2,5.1,,,,17.0,118.5,89.9,100.0,63.5,,2023.0,223.0,,,2.38,,1377873.0,
+Republic of Moldova,EasternEurope,33846.0,4051,123.3,92.2,6475.0,-0.7,1591.4,13.4,20.8,65.8,28.8,30.9,40.3,5.0,,109.0,109.0,2045.0,4020.0,-1975.0,-415.0,-0.1,45.0,-0.7,1.3,,,,5.5,14.3,10.3,2.5,7.5,,,,22.8,108.0,49.8,35.0,12.3,,15.0,23.0,,,4.49,,6475.0,Medium
+Romania,EasternEurope,238391.0,19679,85.5,94.0,177956.0,3.7,9120.7,4.8,34.9,60.3,25.5,27.7,46.8,7.1,,100.0,100.0,63581.0,74605.0,-11024.0,-2096.0,-0.6,54.6,1.7,1.5,,,,3.2,8.7,5.6,2.7,3.1,,,,20.7,107.1,55.8,100.0,29.5,,1109.0,68.0,,,2.38,,177956.0,
+Rwanda,EasternAfrica,26338.0,12208,494.9,96.2,8096.0,6.9,697.3,34.6,15.1,50.3,75.0,7.2,17.8,2.4,,139.0,139.0,622.0,1778.0,-1157.0,-1099.0,2.5,28.8,6.4,4.2,,,,155.1,44.0,7.5,2.3,3.6,,,,61.3,70.5,18.0,62.0,19.2,,84.0,8.0,,,13.67,,8096.0,Medium
+Saint Kitts and Nevis,Caribbean,261.0,55,212.9,97.0,876.0,3.8,15771.9,1.2,28.1,70.7,18.05,19.2,59.6,6.6,,39.0,39.0,51.0,332.0,-280.0,-63.0,1.1,32.0,1.3,2.3,,,,28.05,17.9,5.1,2.3,2.8,,,,13.3,131.8,75.7,52.0,42.3,,0.0,59.0,,,3.93,,876.0,Low
+Saint Lucia,Caribbean,539.0,179,293.2,95.9,1450.0,1.9,7839.4,2.7,12.9,84.4,14.8,17.6,67.6,19.0,,69.0,69.0,120.0,654.0,-535.0,-100.0,0.5,18.5,0.9,1.5,,,,28.05,10.9,6.7,2.3,4.9,,,,16.7,101.5,52.4,62.0,33.4,,0.0,33.0,,,0.97,,1450.0,Low
+Saint Vincent and the Grenadines,Caribbean,389.0,110,281.8,101.7,738.0,1.6,6739.2,7.5,17.2,75.3,22.1,16.1,61.8,19.1,,115.0,115.0,47.0,335.0,-288.0,-210.0,1.3,50.6,0.7,2.0,,,,28.05,16.5,8.6,2.3,4.55,,,,13.0,103.6,51.8,58.0,69.2,,0.0,29.0,,,1.8,,738.0,Low
+Samoa,Polynesia,2842.0,196,69.4,106.6,774.0,2.8,4006.0,9.3,24.2,66.6,5.3,14.8,79.8,6.5,,107.0,107.0,56.0,350.0,-294.0,-44.0,0.8,19.1,-0.2,4.2,,,,28.05,18.0,7.2,2.3,4.55,,,,10.0,58.5,25.4,93.0,60.4,,2.0,24.0,,,12.75,,774.0,Low
+San Marino,SouthernEurope,61.0,33,556.7,94.9,1565.0,1.0,49240.2,0.1,33.3,66.6,18.05,19.2,59.6,6.6,,113.5,115.0,4763.5,7550.0,-1011.5,-472.0,1.2,94.2,0.6,2.3,,,,28.05,17.9,6.1,6.4,2.4,,,,26.7,115.2,49.6,1.0,0.0,,197.0,47.5,,,2.38,,1565.0,Low
+Sao Tome and Principe,MiddleAfrica,964.0,204,212.8,99.2,334.0,4.0,1752.8,12.3,14.7,73.0,22.2,13.5,64.3,13.6,,119.0,119.0,10.0,139.0,-129.0,-69.0,2.2,65.1,3.6,4.7,,,,28.05,43.8,8.1,2.3,3.8,,,,18.2,65.1,25.8,94.0,55.8,,1.0,14.0,,,12.39,,334.0,Low
+Senegal,WesternAfrica,196712.0,15851,82.3,96.6,13633.0,6.5,901.1,15.5,24.1,60.4,51.4,20.7,27.9,9.3,,126.0,127.0,2640.0,5478.0,-2838.0,-1348.0,3.0,43.7,3.6,5.0,,,,17.6,43.9,4.7,2.3,7.4,,,,42.7,100.0,21.7,100.0,43.2,,77.0,11.0,,,6.49,,13633.0,High
+Serbia,SouthernEurope,88499.0,8791,100.5,95.6,37160.0,0.8,5238.6,8.2,31.4,60.5,19.4,24.5,56.1,15.5,,102.0,102.0,14852.0,19231.0,-4379.0,-1751.0,-0.4,55.6,-0.3,1.6,,,,254.1,9.8,10.4,2.5,4.2,,,,34.4,120.5,65.3,71.0,31.1,,393.0,62.0,,,0.9,,37160.0,High
+Seychelles,EasternAfrica,457.0,95,206.0,97.2,1363.0,6.8,14133.2,2.7,13.6,83.8,3.6,17.9,78.2,4.1,,105.0,109.0,335.0,833.0,-498.0,-256.0,0.5,53.9,1.1,2.4,,,,28.05,10.2,3.4,1.0,3.6,,,,21.2,158.1,58.1,100.0,88.4,,0.0,72.0,,,0.5,,1363.0,Low
+Sierra Leone,WesternAfrica,72300.0,7557,104.7,98.1,4483.0,-20.3,694.8,51.4,17.6,31.1,68.0,6.5,25.5,3.1,,168.0,168.0,466.0,958.0,-492.0,-1317.0,2.3,39.9,2.7,4.8,,,,0.8,94.4,11.1,2.3,2.7,,,,12.4,89.5,2.5,100.0,41.3,,53.0,11.0,,,21.56,,4483.0,Medium
+Sint Maarten (Dutch part),Caribbean,34.0,40,1180.0,95.7,1094.0,0.5,28241.7,0.1,12.3,87.6,18.05,19.2,59.6,6.6,,113.5,115.0,4763.5,7550.0,-1011.5,23.0,3.1,100.0,2.0,2.3,,,,28.05,17.9,6.3,2.3,4.55,,,,19.95,108.1,49.95,51.0,32.900000000000006,,197.0,303.0,,,2.38,,1094.0,Low
+Slovakia,EasternEurope,49035.0,5448,113.3,94.6,87268.0,3.8,16082.5,3.7,34.8,61.5,3.3,34.5,62.2,9.9,,97.0,97.0,77565.0,75156.0,2409.0,193.0,0.1,53.6,-0.3,1.4,,,,2.7,5.7,8.1,3.4,4.2,,,,20.0,122.3,85.0,54.0,40.3,,264.0,121.0,,,2.38,,87268.0,
+Slovenia,SouthernEurope,20273.0,2080,103.3,98.6,42777.0,2.3,20689.8,2.4,32.7,64.9,8.9,29.6,61.5,8.1,,89.0,89.0,27585.0,26646.0,939.0,2216.0,0.3,49.7,0.1,1.6,,,,0.6,2.5,9.2,2.8,5.5,,,,36.7,113.2,73.1,100.0,62.0,,154.0,135.0,,,2.38,,42777.0,High
+Solomon Islands,Melanesia,28896.0,611,21.8,103.4,1075.0,3.2,1841.6,28.2,15.6,56.3,48.1,2.4,49.5,31.4,,118.0,118.0,437.0,454.0,-17.0,-36.0,2.1,22.3,4.2,4.1,,,,28.05,30.0,5.1,0.2,4.55,,,,2.0,72.7,10.0,100.0,78.3,,3.0,11.0,,,16.47,,1075.0,Low
+Somalia,EasternAfrica,637657.0,14742,23.5,99.3,1559.0,2.7,144.5,60.2,7.4,32.5,72.0,4.8,23.2,6.6,,112.0,112.0,925.0,530.0,394.0,-472.0,2.9,39.6,4.1,6.6,,,,1168.4,79.5,6.3,2.3,4.55,,,,24.2,52.5,1.8,100.0,10.3,,129.0,12.0,,,22.85,,1559.0,Low
+South Africa,SouthernAfrica,1221037.0,56717,46.8,96.4,314571.0,1.3,5773.0,2.4,28.9,68.7,6.1,26.2,67.7,26.0,,125.0,126.0,74111.0,74744.0,-633.0,-13644.0,1.4,64.8,1.6,2.6,,,,1201.9,36.5,8.8,0.8,6.0,,,,42.2,159.3,51.9,100.0,7.6,,7102.0,122.0,,,0.47,,314571.0,
+South Sudan,EasternAfrica,658841.0,12576,20.6,100.4,13167.0,2.0,1067.0,4.6,58.0,37.4,18.05,19.2,59.6,6.6,,113.5,115.0,2389.0,750.0,1640.0,-935.0,3.3,18.8,5.1,5.2,,,,2231.2,77.7,2.7,2.3,1.8,,,,28.5,23.9,17.9,49.0,32.900000000000006,,337.0,2.0,,,21.07,,13167.0,High
+Spain,SouthernEurope,505944.0,46354,92.9,96.2,1192955.0,3.2,25865.4,2.6,23.6,73.7,3.9,19.2,76.8,18.3,,102.0,102.0,281777.0,302539.0,-20762.0,16208.0,-0.2,79.6,0.7,1.3,,,,28.8,2.9,9.0,3.8,4.3,,,,39.1,107.9,78.7,100.0,36.8,,1432.0,102.0,,,2.38,,1192955.0,
+Sri Lanka,SouthernAsia,65610.0,20877,332.9,92.5,82316.0,4.8,3973.7,8.7,30.7,60.6,27.4,25.9,46.6,5.2,,120.0,122.0,10546.0,19501.0,-8955.0,-2009.0,0.5,18.4,0.8,2.1,,,,44.2,8.2,3.5,2.3,2.2,,,,5.8,112.8,30.0,100.0,33.1,,179.0,20.0,,,0.53,,82316.0,
+State of Palestine,WesternAsia,6020.0,4921,817.4,102.9,12677.0,3.5,2715.5,4.8,23.4,71.9,8.7,29.8,61.5,24.2,,90.0,90.0,929.0,5058.0,-4128.0,-1713.0,2.7,75.3,2.8,4.2,,,,28.05,20.0,6.3,2.3,1.3,,,,19.95,77.6,57.4,31.0,1.5,,9.0,15.0,,,17.52,,12677.0,High
+Sudan,NorthernAfrica,108889.0,40533,23.0,99.9,79546.0,4.9,1977.0,32.4,20.1,47.6,32.9,20.4,46.7,13.4,,113.5,115.0,1797.0,7658.0,-5861.0,-5933.0,2.3,33.8,2.5,4.8,,,,3619.6,48.7,8.4,3.1,4.55,,,,30.5,70.5,26.6,100.0,32.900000000000006,,682.0,16.0,,,1.09,,79546.0,
+Suriname,SouthAmerica,163820.0,563,3.6,100.7,4879.0,-2.7,8985.3,11.4,27.4,61.1,3.4,22.3,74.3,9.9,,152.0,152.0,1437.0,1244.0,193.0,-808.0,1.0,66.0,0.8,2.5,,,,28.05,17.4,5.7,2.3,4.55,,,,25.5,180.7,42.8,83.0,98.3,,44.0,62.0,,,0.32,,4879.0,Medium
+Swaziland,SouthernAfrica,17363.0,1367,79.5,93.9,4133.0,1.7,3211.7,6.6,42.1,51.3,22.0,17.0,61.0,25.1,,114.0,115.0,1881.0,733.0,1149.0,281.0,1.8,21.3,1.3,3.3,,,,1.1,56.3,9.3,2.3,7.0,,,,6.2,73.2,30.4,34.0,33.8,,39.0,40.0,,,2.39,,4133.0,Medium
+Sweden,NorthernEurope,438574.0,9911,24.2,100.2,495694.0,4.1,50687.5,1.3,26.3,72.4,1.8,18.2,79.9,7.3,,100.0,100.0,139574.0,140838.0,-1263.0,23250.0,0.8,85.8,0.8,1.9,,,,348.5,2.4,11.9,4.1,7.7,,,,43.6,130.4,90.6,54.0,68.9,,1428.0,206.0,,,2.38,,495694.0,
+Syrian Arab Republic,WesternAsia,185180.0,18270,99.5,102.1,28393.0,-5.3,1534.5,20.7,30.0,49.3,18.5,39.2,42.3,13.8,,65.0,68.0,1265.0,2383.0,-1118.0,-472.0,-2.3,57.7,1.4,3.1,,,,6768.5,17.9,3.3,1.5,4.55,,,,13.2,62.4,30.0,100.0,2.7,,237.0,24.0,,,2.38,,28393.0,High
+Tajikistan,CentralAsia,142600.0,8921,63.7,100.9,7853.0,4.2,925.9,25.0,28.0,47.1,57.2,13.4,29.4,10.8,,155.0,172.0,899.0,3030.0,-2132.0,-472.0,2.2,26.8,2.6,3.5,,,,21.8,38.9,6.9,1.7,5.2,,,,19.0,98.6,19.0,45.0,3.0,,76.0,14.0,,,4.55,,7853.0,Medium
+Thailand,South-easternAsia,513120.0,69038,135.1,95.2,395168.0,2.8,5814.8,9.1,35.7,55.1,34.0,22.7,43.3,0.6,,129.0,126.0,213927.0,195666.0,18260.0,32149.0,0.4,50.4,3.0,1.5,,,,554.1,11.2,4.1,2.3,4.1,,,,4.9,125.8,39.3,100.0,32.0,,3338.0,83.0,,,0.02,,395168.0,
+The former Yugoslav Republic of Macedonia,SouthernEurope,25713.0,2083,82.6,100.0,10052.0,3.8,4836.1,12.0,27.9,65.1,16.2,29.2,54.5,27.3,,111.0,112.0,4785.0,6757.0,-1972.0,-204.0,0.1,57.1,0.1,1.5,,,,1.4,9.0,6.5,2.8,4.55,,,,31.7,105.4,70.4,100.0,39.6,,53.0,53.0,,,2.18,,10052.0,High
+Timor-Leste,South-easternAsia,14919.0,1296,87.2,103.2,2873.0,4.3,2425.4,5.2,79.9,14.9,50.8,2.0,47.2,4.3,,111.0,117.0,94.0,647.0,-553.0,238.0,2.2,32.8,3.8,5.9,,,,28.05,43.9,1.5,0.1,7.8,,,,38.5,117.4,13.4,24.0,46.9,,143.0,7.0,,,8.89,,2873.0,Medium
+Togo,WesternAfrica,56785.0,7798,143.4,99.4,4086.0,5.5,559.4,45.7,19.7,34.6,62.5,8.7,28.7,6.8,,140.0,143.0,715.0,1716.0,-1001.0,-461.0,2.6,40.0,3.8,4.7,,,,13.8,55.7,5.2,2.3,5.2,,,,17.6,65.0,7.1,80.0,3.8,,111.0,20.0,,,5.51,,4086.0,Medium
+Tonga,Polynesia,747.0,108,150.0,100.7,402.0,3.8,3784.5,22.4,21.5,56.1,33.3,28.2,38.5,4.8,,134.0,134.0,14.0,209.0,-196.0,-33.0,0.4,23.7,0.7,3.8,,,,28.05,20.6,5.2,2.3,4.55,,,,3.8,65.6,45.0,79.0,12.5,,0.0,15.0,,,18.3,,402.0,Low
+Tunisia,NorthernAfrica,163610.0,11532,74.2,97.6,41199.0,0.8,3660.9,10.3,27.8,62.0,11.7,29.4,58.9,14.6,,108.0,108.0,13483.0,19456.0,-5973.0,-3850.0,1.2,66.8,1.4,2.3,,,,0.7,18.5,7.0,1.6,6.3,,,,31.3,129.9,48.5,96.0,6.6,,274.0,39.0,,,1.14,,41199.0,High
+Turkey,WesternAsia,783562.0,80745,104.9,97.0,717888.0,4.0,9125.8,8.6,26.4,65.0,19.6,27.5,52.9,10.8,,120.0,122.0,142606.0,198602.0,-55996.0,-32278.0,1.6,73.4,2.0,2.1,,,,3006.3,12.6,5.4,1.7,4.8,,,,14.9,96.0,53.7,100.0,15.1,,1303.0,65.0,,,0.3,,717888.0,
+Turkmenistan,CentralAsia,488100.0,5758,12.3,97.0,37597.0,6.5,6996.7,13.4,51.0,35.6,17.9,37.4,44.7,8.6,,103.0,109.0,3741.0,2616.0,1125.0,-472.0,1.8,50.0,1.9,3.0,,,,7.2,46.9,2.1,2.3,3.1,,,,25.8,145.9,15.0,54.0,8.8,,3270.0,212.0,,,0.07,,37597.0,High
+Turks and Caicos Islands,Caribbean,948.0,35,37.3,104.1,863.0,4.1,25121.8,0.6,10.4,89.0,18.05,19.2,59.6,6.6,,113.5,115.0,4.0,389.0,-385.0,-472.0,2.0,92.2,2.5,2.3,,,,28.05,17.9,6.3,2.3,3.3,,,,19.95,108.1,49.95,60.0,36.2,,0.0,86.0,,,2.38,,863.0,Low
+Tuvalu,Polynesia,26.0,11,373.1,102.0,33.0,3.5,3362.4,26.0,7.6,66.4,18.05,19.2,59.6,6.6,,110.0,110.0,4763.5,12.0,-12.0,7.0,0.9,59.7,1.9,3.6,,,,28.05,17.9,16.5,2.3,4.55,,,,6.7,40.3,42.7,96.0,33.3,,197.0,13.0,,,63.52,,33.0,Low
+Uganda,EasternAfrica,241550.0,42863,214.5,99.0,25282.0,5.4,647.7,25.6,21.5,52.9,72.0,7.4,20.5,2.4,,93.0,90.0,2755.0,3750.0,-996.0,-2353.0,3.4,16.1,5.4,5.9,,,,727.1,60.2,7.2,2.3,2.2,,,,34.3,50.4,19.2,100.0,11.0,,409.0,12.0,,,6.35,,25282.0,High
+Ukraine,EasternEurope,603500.0,44223,76.3,86.0,90615.0,-9.9,2021.6,14.0,26.3,59.7,15.7,24.6,59.7,8.8,,137.0,137.0,36369.0,39184.0,-2815.0,-189.0,-0.5,69.7,-0.3,1.5,,,,1644.8,8.8,7.1,3.0,5.9,,,,12.3,144.0,49.3,100.0,16.6,,3203.0,98.0,,,1.63,,90615.0,
+United Kingdom,NorthernEurope,242495.0,66182,273.6,97.4,2858003.0,2.2,44162.4,0.7,19.4,79.9,1.2,18.4,80.4,5.0,,108.0,108.0,415856.0,635570.0,-219713.0,-122571.0,0.6,82.6,0.9,1.9,,,,151.7,4.1,9.1,2.8,5.7,,,,30.0,125.8,92.0,100.0,12.9,,4482.0,116.0,,,2.38,,2858003.0,
+United Republic of Tanzania,EasternAfrica,947303.0,57310,64.7,97.8,45628.0,7.0,877.3,31.1,26.1,42.9,66.9,6.4,26.7,2.7,,176.0,180.0,4742.0,7876.0,-3134.0,-3312.0,3.1,31.6,5.4,5.2,,,,402.1,44.0,5.6,2.3,3.5,,,,36.4,75.9,5.4,100.0,52.4,,935.0,20.0,,,5.85,,45628.0,High
+Uruguay,SouthAmerica,173626.0,3457,19.8,93.5,53442.0,1.0,15573.8,6.8,28.0,65.2,8.7,20.5,70.8,8.8,,129.0,130.0,6964.0,8137.0,-1173.0,-1141.0,0.3,95.3,0.5,2.0,,,,0.5,12.7,8.6,2.3,4.4,,,,20.2,160.2,64.6,100.0,10.4,,113.0,58.0,,,0.04,,53442.0,
+Uzbekistan,CentralAsia,448969.0,31911,75.0,99.4,69004.0,6.8,2308.3,19.2,32.9,47.9,29.0,23.9,47.1,8.9,,158.0,174.0,27947.0,25652.0,2295.0,-472.0,1.6,36.4,1.4,2.4,,,,86.7,31.3,5.8,2.5,4.55,,,,16.0,73.3,42.8,59.0,7.6,,2339.0,62.0,,,0.66,,69004.0,
+Vanuatu,Melanesia,12189.0,276,22.7,102.4,737.0,-1.0,2783.0,26.7,8.4,64.9,61.4,6.8,31.8,5.3,,123.0,122.0,50.0,416.0,-366.0,-82.0,2.3,26.1,3.4,3.4,,,,28.05,24.3,5.0,0.2,5.5,,,,0.0,66.2,22.4,100.0,36.1,,1.0,12.0,,,12.32,,737.0,Low
+Venezuela (Bolivarian Republic of),SouthAmerica,912050.0,31977,36.3,99.0,344331.0,-6.2,11068.9,5.3,44.7,50.0,11.9,26.8,61.3,6.6,,118.0,119.0,19731.0,16324.0,3407.0,-20360.0,1.4,89.0,1.5,2.4,,,,174.2,13.8,5.3,2.3,4.55,,,,22.2,93.0,61.9,100.0,53.1,,7460.0,90.0,,,0.01,,344331.0,
+Viet Nam,South-easternAsia,330967.0,95541,308.1,98.0,193241.0,6.7,2067.9,18.9,37.0,44.2,41.8,22.9,35.2,2.2,,136.0,134.0,176632.0,174111.0,2520.0,906.0,1.1,33.6,3.0,2.0,,,,11.0,19.3,7.1,1.2,5.7,,,,26.7,130.6,52.7,100.0,47.2,,2977.0,30.0,,,1.73,,193241.0,
+Yemen,WesternAsia,527968.0,28250,53.5,102.1,29688.0,-28.1,1106.4,14.7,36.9,48.4,32.9,17.9,49.2,16.1,,136.0,137.0,570.0,6861.0,-6291.0,-3026.0,2.6,34.6,4.0,4.4,,,,3371.4,47.2,5.6,0.3,4.55,,,,0.0,68.0,25.1,100.0,1.0,,668.0,12.0,,,2.99,,29688.0,High
+Zambia,EasternAfrica,752612.0,17094,23.0,98.5,21255.0,2.9,1311.1,8.2,32.3,59.5,54.8,9.9,35.3,7.4,,179.0,180.0,6505.0,7442.0,-937.0,-768.0,3.0,40.9,4.3,5.2,,,,55.3,53.8,5.0,0.2,4.55,,,,18.0,74.5,21.0,88.0,65.6,,374.0,26.0,,,3.96,,21255.0,High
+Zimbabwe,EasternAfrica,390757.0,16530,42.7,95.0,13893.0,1.1,890.4,13.0,30.5,56.5,67.5,7.3,25.2,5.0,,99.0,98.0,2832.0,5212.0,-2379.0,-1521.0,2.3,32.4,2.3,4.0,,,,308.6,46.5,6.0,0.1,8.4,,,,32.6,84.8,16.4,89.0,37.2,,482.0,30.0,,,6.0,,13893.0,High