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| id | country_code | name | value |
|---|---|---|---|
| 3101 | LS | Tractors | 2000 |
| 3102 | LS | external debt | 735000000 |
| 3103 | LS | Population under $1 a day | 43.1 |
| 3104 | LS | Price of export/import | 73 |
| 3105 | LS | Aid as % of GDP | 4.6 |
| 3106 | LS | CO2 Emissions | 209.6 |
| 3107 | LS | CO2/1000 people | 0.1032 |
| 3108 | LS | Forest as % of land | 0.26 |
| 3109 | LS | PM10 (mcg/m3) | 53.84 |
| 3110 | LS | Threatened species | 9 |
| 3111 | LS | Number of immigrants | 6000 |
| 3112 | LS | Highest point | Thabana Ntlenyana 3,482 m |
| 3113 | LS | Lowest point | junction of the Orange and Makhaleng Rivers 1,400 m |
| 3114 | LS | Forested land (%) | 0.5 |
| 3115 | LS | Permanent crops (%) | 0.13 |
| 3116 | LS | Largest city | Maseru |
| 3117 | LS | Largest city population | 297000 |
| 3118 | LS | Tallest mountain | Thabana Ntlenyana |
| 3119 | LS | Nothernmost lattitude | -27.433333333333 |
| 3120 | LS | Southernmost lattitude | -29.333333333333| |
| 3121 | LS | undernourishment | 12 |
| 3122 | LR | Meat production (x 1000 t) | 18 |
| 3123 | LR | Tractors | 325 |
| 3124 | LR | external debt | 3200000000 |
| 3125 | LR | CO2 Emissions | 424.3 |
| 3126 | LR | CO2/1000 people | 0.14631 |
| 3127 | LR | Forest as % of land | 32.75 |
| 3128 | LR | Non-wildness (%) | 1.78 |
| 3129 | LR | PM10 (mcg/m3) | 43.95 |
| 3130 | LR | NOx emissions (1000 t/squ) | 0.27 |
| 3131 | LR | SO2 emissions (1000 t/squ) | 110 |
| 3132 | LR | Threatened species | 30 |
| 3133 | LR | Water availability (1000 m3) | 58.85 |
| 3134 | LR | Wildness (%) | 8.96 |
| 3135 | LR | Number of immigrants | 50000 |
| 3136 | LR | Refugees | 354520 |
| 3137 | LR | Highest point | Mount Wuteve 1,380 m |
| 3138 | LR | Lowest point | Atlantic Ocean 0 m |
| 3139 | LR | Forested land (%) | 31.3 |
| 3140 | LR | Permanent crops (%) | 1.98 |
| 3141 | LR | Largest city | Monrovia |
| 3142 | LR | Largest city population | 962000 |
| 3143 | LR | Tallest mountain | Mount Wuteve |
| 3144 | LR | Southernmost lattitude | 4.35|Cape Palmas |
| 3145 | LR | undernourishment | 49 |
| 3146 | LY | Contraception (%) | 40 |
| 3147 | LY | Prisoners | 9763 |
| 3148 | LY | Meat production (x 1000 t) | 170 |
| 3149 | LY | Tractors | 34000 |
| 3150 | LY | external debt | 4492000000 |
| 3151 | LY | Price of export/import | 50 |
| 3152 | LY | CO2 Emissions | 42,274.9 |
| 3153 | LY | CO2/1000 people | 7.33176 |
| 3154 | LY | Forest as % of land | 0.12 |
| 3155 | LY | Non-wildness (%) | 0.12 |
| 3156 | LY | PM10 (mcg/m3) | 98.1 |
| 3157 | LY | NOx emissions (1000 t/squ) | 6.34 |
| 3158 | LY | SO2 emissions (1000 t/squ) | 3220 |
| 3159 | LY | Threatened species | 16 |
| 3160 | LY | Water availability (1000 m3) | 0.6 |
| 3161 | LY | Wildness (%) | 89.9 |
| 3162 | LY | Number of immigrants | 618000 |
| 3163 | LY | Refugees | 10820 |
| 3164 | LY | Highest point | Bikku Bitti 2,267 m |
| 3165 | LY | Lowest point | Sabkhat Ghuzayyil -47 m |
| 3166 | LY | Forested land (%) | 0.2 |
| 3167 | LY | Permanent crops (%) | 0.19 |
| 3168 | LY | Largest city | Tripoli |
| 3169 | LY | Largest city population | 1682000 |
| 3170 | LY | Tallest mountain | Bikku Bitti |
| 3171 | LY | Nothernmost lattitude | 33.166666666667 |
| 3172 | LY | Southernmost lattitude | 19.5|Chad/Libya/Sudan tripoint |
| 3173 | LY | undernourishment | 2.5 |
| 3174 | LI | Prisoners | 18 |
| 3175 | LI | Forest as % of land | 43.75 |
| 3176 | LI | PM10 (mcg/m3) | 34.12 |
| 3177 | LI | Threatened species | 5 |
| 3178 | LI | Number of immigrants | 12000 |
| 3179 | LI | Refugees | 10 |
| 3180 | LI | Highest point | Vorder-Grauspitz 2,599 m |
| 3181 | LI | Lowest point | Ruggeller Riet 430 m |
| 3182 | LI | Forested land (%) | 46.7 |
| 3183 | LI | Highest town | Rotenboden |
| 3184 | LI | Largest city | Vaduz |
| 3185 | LI | Largest city population | 6000 |
| 3186 | LI | Tallest mountain | Grauspitz |
| 3187 | LI | Nothernmost lattitude | 47.233333333333 |
| 3188 | LI | Southernmost lattitude | 47.05|Swiss border |
| 3189 | LI | speed limits | 50;80;-;- |
| 3190 | LT | Romani population | 3,000 - 4,000 |
| 3191 | LT | Access to sanitation (%) | 100 |
| 3192 | LT | Contraception (%) | 58 |
| 3193 | LT | Burglaries | 9203 |
| 3194 | LT | Corruption (business constraint) | 13.24 |
| 3195 | LT | Jails | 14 |
| 3196 | LT | Murders | 370 |
| 3197 | LT | Murders with firearms | 83 |
| 3198 | LT | Police | 12731 |
| 3199 | LT | Police/1000 | 3.53934 |
| 3200 | LT | Prisoners | 8063 |
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