Um die Verwirklichung der Ziele aller Länder zu beobachten, müssen international vergleichbare Daten vorliegen. Jedoch sind diese je nach Land oder Ziel teils lückenhaft. Dies zeigt folgende Grafik:

[img]data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAewAAAD8CAYAAAC1i5dPAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAAFiUAABYlAUlSJPAAACHTSURBVHhe7d0HfBRl/sfxbwqhBQTpSLDR1DsscJ4nWECPE/4ghiagEqUpCipI6JFIUUDACiqCehYEBGkn7RDFQxROFFQEQbogEiIhhJKQ3f1vNg+ExSXZTR6Cw33er9e88pvZ8mTKPt+d2d2ZMI+XAADAH1q4+QsAAP7ACGwAAByAwAYAwAEIbAAAHIDABgDAAQhsAAAcgMAGAMABCGwAAByAwAYAwAEIbAAAHIDABgDAAfId2O6Dm7RkYn917fKi/pvhm6LkVZMU3zFWsW276ek5W5Sefc8zTAcAAMHKZ2C7dWDNMq2NLK30TTt0wO2dkjRXiQmrVXfoe5o+sZM8U/powrqMM04HAADBy2dgh6tc44fUr1N9VYrMGvcG+NL52lA/Tu1ql1BUhQbq0rqUlsz5Wr8GnL5WRDYAAMGz9Bm2W/v3/qYLq1SRL7+9T1u2SkUd3bdX+wJO/1Uu3zgAAAhGwa6HfWyx+jZdoiYLn9VV796j7vv6afagaxXlvenQzO5qufpuTak1WT1/N72DFo5ppKK+J8nx2fLl2rFjhxnLdu119VS+fHkzBgCAs5UvX06Rkdm7saGwFNjj1Hj7S+oYf1j9pw1QveJ7NatHnFa2nK7Rl70TcPq4ZmXMk+T4YPoMff/9d2ZMOphyUJs3bdLLr75mpgAA4GzVqlVVkSJFzFjwrAV2k2KpWvNKbyXOT9MFUSnKqNNTY0e0UPXIM003z5GLjRs2qM/jvbVg8SIzBQCA/00FC+xAjqUoOSNa5Uqflshnmp4LAhsAgGz2T5xSrEzgUD7TdAAAkCf7gQ0AAKwjsAEAcAACGwAAByCwAQBwAAIbAAAHILABAHAAAhsAAAcgsAEAcAACGwAAByCwAQBwAAIbAAAHILABAHAAAhsAAAcgsAEAcAACGwAAByCwAQBwAAIbAAAHILABAHAAAhsAAAcgsAEAcAACGwAAByCwAQBwAAIbAAAHCPN4mfoPZ+OGDerzeG8tWLzITAEKh2thRVPZEdF0n6kAIH/YwwYAwAEIbAAAHIDABgDAAQhsAAAcgMAGAMABCGwAAByAwAYAwAEIbAAAHIDABgDAASye6cytpM9f1ahXPtXPx4qocsNuGvjoraoc7lbyqska9cJC/XS8vP5yzwA9cdflKmoelZvz/UxntSffYSo7fuzKGeFs4UxnAP5o7O1hZ/xXr434Qn8a9o6mT31G1309Sq99mS530lwlJqxW3aHvafrETvJM6aMJ6zLMgwAAQDDsBXZ4KZUulqyN3+1S2pE92p12oapWCNeBpfO1oX6c2tUuoagKDdSldSktmbNWRDYAAMGzevGP1BXD1P7Rj5SmoyoV+6qmJlyvvc+1UULkWL3fq4YivPdJX9xHTeY10qIJLVQ8+2EnLfjoI23etNmMSfv3J2nFf1bo7alTzZTzy+2LupjKjqV3TDEVCqrqd9eayo49f/7GVAD+11WpXEmRkZFmLHjW9rDdyQs0fPQvipv5mZYumqSmG4cqYU6yoksV1+FDh+Qy98s4lKaIktF82w0AgBBY28PO/H6c2iSW0PjpPXRZhEs/vXy34jOG6YNmH6tj/GH1nzZA9Yrv1awecVrZcrrGNStjHnlmfOksNHzpzB6+dAbgj8bajm7kFe3Upca/9WjbzurxwN3q82kddW1XW5F14tS/2WYltr1b97aK0/SyPfVYk7zDGgAA5LD6GXaWzMNJSj5aUuXLl/B9Zn3SsRQlZ0SrXOngj9uzhx0a9rDtYQ8bwB+N9Y+SI0tWUKXTwzpLsTIhhTUAAMjBd78AAHAAAhsAAAcgsAEAcAACGwAAByCwAQBwAAIbAAAHILABAHAAAhsAAAcgsAEAcAACGwAAByCwAQBwAAIbAAAHILABAHAA65fXtInLa4aGy2vac75dXjOtV01T2RH90mZTASgs7GEDAOAA7GGfQ+xhhy7sw02mssPTqpap/LGHnTv2sIHCxx42AAAOQGADAOAABDYAAA5AYAMA4AAENgAADkBgAwDgAAQ2AAAOQGADAOAABDYAAA5AYAMA4ACcmvQc4tSkoePUpPnDqUlRGG6Z08xUdiy/a4GpkIU9bAAAHIDABgDAAQhsAAAcgMAGAMABCGwAABzAemBn7vtKM559QvGvf6sM3xS3kldNUnzHWMW27aan52xRum86AAAIltXAPvrdFD14/1htrHa3et9bV1Heae6kuUpMWK26Q9/T9Imd5JnSRxPWZUc5AAAIjr3Aztykt4bNVY0nX9Ijt9VSuaJZE906sHS+NtSPU7vaJRRVoYG6tC6lJXPWmr1vAAAQDGsnTnHtmqx7m7+pw5fHqHTRNP3yWw09Mmm0rvrwbiVEjtX7vWoownu/9MV91GReIy2a0ELFsx96Rpw4JTScOCV05/rEKc9VvsFUdvTe+6Wp/HHiFBQGTpxydlkL7Mz1z6lNQhE9O6Onaka6tHVie/U+PFgTy45W9339NHvQtb5D5IdmdlfL1R20cEwj+XbCTzFq5NP67LPPzJg33NPTfcOE1yaZKeeXdqv7msqOGdePNdX565qfsrYie9bWCHys50+7G5vKju8vWmYqf8uadDWVHY2XTDaVv8tfjzWVHVu6zTYVkOPRrf1MZceLl40x1blxR9eXTWXHosk9fX/r1K6pokVPT8C82Ts1aeoi9W31oa7/5ytqd5FHPz7fVgM9T2tG06XqGH9Y/acNUL3iezWrR5xWtpyucc3KmAfm2LN7t1JTU82YtG3rNj03frxmz59nppxfrpvaylR2fN3xQ1Odv6IX/WwqO9LuqGYqf8WWX2IqO47dst1U/iZdZveNQfetgd8YePpfbSo7wkavMxWQo9mSNqayY0GTmaY6N2rc2sdUdvz06Xjf3+LFiik8PPRPpC2eS9ylbR/2V++Jm1SqgnRAN2vAy33UsFya1rzSW4nz03RBVIoy6vTU2BEtVD3SPCwXHBIPDYfEQ8ch8fzhkDgCOd8OiVe5/iFT2fHL6ldNlT/2L/6Rkaqk1AhdWL6k7zPrk46lKDkjWuVKB5HUBoEdGgI7dAR2/gQK7J0VR5rKjur7BpsKTkFg566ggW3/xClRpVXh9LDOUqxMSGENAABy2A9sAABgHYENAIADENgAADgAgQ0AgAMQ2AAAOACBDQCAAxDYAAA4AIENAIADENgAADgAgQ0AgAPYP5e4RZxLPDScSzx0nEs8f/4XziW+dvyVprLjmj4/mOr8xbnEc/fHO5c4AACwjsAGAMABCGwAAByAwAYAwAEIbAAAHIDABgDAAQhsAAAcwFGBvT/mz1YHAACcgj3s89x/LqlndQAAnBsENgAADkBgAwDgAAQ2AAAOQGADAOAABDYAAA7gqMtr2v4pVvld35nK37dvXWEqO+rev8FU/grj8pq2v9l90/Y1pjo3uLxm7ri8pj3n0+U1wxKWmsoOz/DbTeWPy2vmjstrAgDwP4DABgDAAQhsAAAcgMAGAMABCGwAAByAwIYVKbdcZXUAAPgjsAEAcAD7ge3apTkD71WvyeuV6ZvgVvKqSYrvGKvYtt309JwtSvdNBwAAwbIc2C5tnzpM//zmV/2065B3zBvXSXOVmLBadYe+p+kTO8kzpY8mrMvIvjsAAAiK1cDO3Py2Rsy7VL0frKuiviluHVg6Xxvqx6ld7RKKqtBAXVqX0pI5a0VkAwAQPHuBnfGj3hy+WHX6P6a/FDfTvIG9f+9vurBKFUX6xsNVtkpFHd33q2/v+3RJ+5K0fdu2k8Pu3bvlcrl09Ngx32Dbiec9fbAtUBtZg23nqo2swbZAbWQNtgVqI2uwLVAbWYNtgdrIGmw7V20U5mBboDYKa7AtUBtZg22B2ijMwbYTz+t2u82U0Fg6l3imfnylox756hb17VhH4eve0piNDTT40VjV+PJxPbSvn2YPulZR3nsemtldLVd30MIxjcxeeI5hiU9p+SefmDHve4CMDN+MvfzaJN94TIt7fH9t2TX/PVP5i1h7t6nscF0z3VT+2n/Vz1R2TKs/xlQ50u56wFR2RM9501T+Ln2sg6ns2PbC+6byd93WYqay4+vLAr8o6/4S+FzJ+fVtlcDncv70ju6msuPWRdmvldPVnNLaVHZs7jLLVDnKNZlvKjuSl7Qw1bkRtqy9qezwNJ5mqsJ33azA57LPr69bBz7X/uPbB5jKjucvGWWqc6NZ94mmsmPBpId9f6+8oraKFj09AfNmL7Dnv6rFP2Uq68nc25dq5q6rdE+3rup86SJ1ij+s/tMGqF7xvZrVI04rW07XuGZlsh+aCy7+EZpzefEP2z/FKrN8van8cfGP3HHxD3u4+MeZcfGP/PmDXPwjUrVb9NSjvR/XY97h4aa1VeHPserStKaK1YlT/2abldj2bt3bKk7Ty/bUY03yDmsAAJDD/s+6vIreMU5znrrBHPIurXo9pmj+h6/phbc/0oxRLVQ9+wNtAAAQpLMS2AEVK6NypUlqAAWTPqWm1QFwisILbAAAkG8ENgAADkBgAwDgAAQ2AAAOQGADAOAABDYAAA5AYAMA4AAENgAADkBgAwAcJbzds1YHpyCwAQBwAAIbAAAHILABAHAAAhsAAAcgsAEAcAACGwAAByCwAQBwAAIbAAAHILABAHAAAhsAAAcgsAEAcAACGwAAByCwAQBwAAIbAAAHILABAHAAAhsAAAcgsAEAcAACGwAAByCwAQBwAAIbAAAHILABAHAAAhsAAAcgsAEAcAACGwAAB7AY2C7t/fw1Dbw/Vs2bxqrHM4u0MzNrulvJqyYpvmOsYtt209Nztijdd38AABAsi4GdqZ93uHVzv0n64INndN13T+uFfx+RO2muEhNWq+7Q9zR9Yid5pvTRhHUZ5jEAACAYFgO7qOp37KGmV1ZQ8ehqql4pXMfSM3Rg6XxtqB+ndrVLKKpCA3VpXUpL5qwVkQ0AQPDCPF6mtsSt/csS1e2lkhr4zhO64PU2Sogcq/d71VCE99b0xX3UZF4jLZrQQsWzH3DSv5cs0ZaftpgxKWnfPi1btkzvTpvmGy/61ya+v7akr1piKn/JSxqbyo5yTZaZyl/jBQ+Yyo5lzd40VY6tNzY3lR2XrfyXqfyV7HC7qew4/P5SU/mr9uUhU9nx8w2lTOWv8rqrTWXH3qvXmcrfjOtiTWVHu69nm8rfBc/cbCo7Dg78zFQ5XNe8YSo7ItZ2NpW/8gvtzsv+pr+flyxJ024zlR0V2n9sqhydX2hrKjveeOwDU/mr9sp6U9nxc4+rTOWv4+ouprJj6vVTTOUv5vF3TWXHrufvNZW/+nc9ZSo7vpoz1Pe3UsUKioyM9NWhsPylM7cOfDFejz53RJ1ffELXR4crulRxHT50SC5zj4xDaYooGR2w4aNHjio1NfXkcPhwmuR9P+HKzPQNtp143tMH2wK1kTXYdq7ayBpsC9RG1mBboDayBtsCtZE12BaojazBtnPVRtZgW6A2sgbbzlUbWYNtgdrIGmwL1EbWYFugNrIG2048b353k63uYR9a85J6Dtuq2BdH666Lo3zTMje+pI7xh9V/2gDVK75Xs3rEaWXL6RrXrIzv9txs3LBBfR7vrQWLF/nG98f82ffXlvK7vjOVv2/fusJUdtS9f4Op/NWefIep7Pixa/ZyOtV/LqlnKjtu2r7GVP5Sbgn8jju/yiwPvEcQ9uEmU9nhaVXLVP5cCyuayo6IpvtM5e+5yjeYyo7ee780lb+0XjVNZUf0S5tNlWNnxZGmsqP6vsGm8pc+xe68FO3y+3nJsnb8laay45o+P5gqxz/6NzSVHYtHrzCVv7CEwEes8sszPPARtVvmNDOVHcvvWmAqf+HtnjWVHe4Z8abyV+X6h0xlxy+rXzVV/tjbw85YownxL2pd0g+a0uMutWh2p/pO/1mRdeLUv9lmJba9W/e2itP0sj31WJO8wxoAAOSwF9hR9TRg2WatXblY8xcs8A7zNPbuat4bSqtejyma/+FreuHtjzRjVAtVD/3QPQAA/9Msf4adi2JlVK40SQ0AQH4UXmADAIB8I7ABAHAAAhsAAAcgsAEAcAACGwAAByCwAQBwAAIbAAAHILABAHAAAhsAAAcgsAEAcAACGwAAByCwAQBwAAIbAAAHILABAHAAAhsAAAcgsAEAcAACGwAAByCwAQBwAAIbAAAHILABAHAAAhsAAAcgsAEAcAACGwAAByCwAQBwAAIbAAAHILABAHAAAhsAAAcgsAEAcAACGwAAByCwAQBwAAIbAAAHILABAHCAQghst5JXTVJ8x1jFtu2mp+dsUbq5BQAABOesB7Y7aa4SE1ar7tD3NH1iJ3mm9NGEdRnmVgAAEIyzHNhuHVg6Xxvqx6ld7RKKqtBAXVqX0pI5a0VkAwAQvLMe2Pv3/qYLq1RRpG88XGWrVNTRfb/K5RsHAADBCPN4mfoscGv35HvUfV8/zR50raK8Uw7N7K6Wqzto4ZhGKpp9p5PGjhmjz1d8bsakjIwMlS9fXn0HDPSNV2l6t++vLb8snG6qc6PNl31MZcfMG8abKkdK8/tMZUeZf71jKn8xj7Q1lR27JnxgKn91N2W/9bPl21qZpvJ35a5bTWXHDzGfmur8dUHj2aay4+CyWFP5q7Wqpans2PTXuaYqfH3f6W4qO8beN8lUsKFJ5xdNZceSNx71/a1V83IVLXp6AubtLAe2lLnxJXWMP6z+0waoXvG9mtUjTitbTte4ZmXMPXLs2LFDB1NSzFi2yt698xIlSpgxAACcLSvTwsNDP8B91gNbStWaV3orcX6aLohKUUadnho7ooWq291RAgDgvFYIgW0cS1FyRrTKlSapAQAIVeEFNgAAyLdCOHEKAAAoKOfvYbtdcrk98puJsDBFRkSYkYJyy+Vyy38phSksMkK2WshWOO24XS65T1vlYWGRsra4Tjjr6yXL+bVuCmeZeZ3VdgprnWQpjLbOo3VfWNsXr5ezxvGBfXDZeA2cuiHnd93H92jdd5dpyCdjdM36WXpr8jR9W+dJzeh3vblDiA4u03P939fGk7/+ydAv677XpU9+ohdaSBs+GK8XPtykIxFupYfV0L3DE9Xiknx8Tp9bO82S9K+RYzRj4xGFhR+XK7qhHhn5sP5WLtQDJAf1ybj+mrYh51fwx39Zq+8vfVJLX26h0maa3Ls194kuervqCL0fX9/3c7xQnXm9vKSm+97QowM/UWaZYr6bwi+8Wb2evk9XhrrYcl032XPjTvlWsydM1Ozdf1XCiw+odn6+QnHGdj5WQpFXNWT6jzpubvGk7VdGw2F647HsnzGGIrdl1jx6jz4eP1JTf8xUlOeYPNXbaMDgFsrfppZLO2Hr9N6Il/Xxbx6FHQ1TTOt+6teqpoL+nUYu62TUNev14ZuTNWNdbQ15v5/+4l1A7n3L9WLiZK07HC53eFU17Zeg9lcE2Voobbl+1hcz39Ab075V7aFT1ff6INdOKG0c+0Gzxj2v2ZuOKMKTrrAa9ykx8c6g1lHw/Vg9bZ03Us96t7kjYeE67opWg14j1OPGcnkeLs1tvd+W+sXv1s0J7t1z1K/zP1Vl5HQ9UT+I5RbSNuDST2/01OBlmcruDsJU9ubHNaLTlebcHWeWn/nJT38Q/Lqpr/2LxljrDwLKCuzzxyHP6lEdPA+9vcWTeXy9Z97rszxfzB3suSdhhbm94A6tGuW5p/s7nq2Z3pHM3Z7P533m+Tk9+7aUpf09LZ9Y7DmSPVog/u3s9Kz7erfnmO+WTM+uNzt52j+/wXPcN14Ah1Z5xrTv7nl3S1YjJ2R6dk571NP54W6e+4Z+btosqFPWi3fs2Mphnu5j1xX8/z+N3zLzOr5lpqdv2zjPmH9t9hxyZU+z4fR2chz0LIlv43lqhZUtwG+ZHVnSz9N60KeeVN9thz2rhrfx9F1w2DdWMKe2k+75ekwHz2Ozdvva9Bz5wfPqPW0849aaDTwfcpbVcc/6OZM9H66c50lo/6Tn86wNK3Ob56377/aMXpXiu2/6lqmeh+4a5Pn0kG80ZLm1dfz7uZ4ps77wzB/c3pO4Iv9bdW5tZO5e4Zn/2S7vUsyS4vm4X3NP/OL8bAu59WPe1+farz27zSxk7nzT80Db5z0bQ34xnbreA6ybE7x9z4xH7/f06naP5ym/G4KX6zbg7WG+GNbVM35dQXuDvOfHTn+Q27o5nc3+INt59Rl26orxen5HrAZ1vEwRkVeqRddWuq6ilfc12Q6u0HPjd+quIR10adbRkIiqurHFTbrINBF9cYxKph4o+MVNftdOjOpeW9WcaCZMRYpEKSI8zDeWf6n6fNx47YwdovaX5RzacW2fprHLrlTvB2opqqBNGH7rJWtCSqpUqox3Tiw6fZm5turdETNVtf8Exf9fDUXb2tJPb+cU7p/naubuRmp/Q3EzJf9OX2bhEeHyHM84+S7f7YpQ0WKn/QP54NeOe7++/a6o6jesnL2eil+hjm0q66tlW3z3DZnfsorUlS27KLZehZN7Gq4dC7U0vIXi6l/gG4+6rJU61V2vjz4/6hsPSR5tRV51pzq3uk4VCtId5NFGRNUGan5TNTMerYtjSurQgdB7g9z7sQjFXH2tqppzboRFFVER77YR6mvJf/v6/bxkc2n7+2O07Mo+iqsVlb/Xax7LLMtBX3dQsN4gz/mx1B/kvm782ewPTjhvAtud/LHGvHRA7Z9srZiC92O/507WstEvK6VDgloFbCBNX89YoTK3Ncw5tJwfZ2rHfUD/fXeMhvV9UAO/ukF9OtXM85DRmbmV/PFoTTjQUYPbxGR3zlkyf9K7o1fqur5dVCv/T+4n0HpJT03RT4tG6OEHuqjHE89q9vpU739UAAGWmWvLR1p6/GqVWz5Sjz/4oB4fOkUr95w8Rpc/uW4DGVo/bYGiWrVVjdNvClGgZVb0lkf0YMkpuj8uQeMT4/VOse7qdUvoZ0o61e/aCS+rS2NStHZ1slkfh/VLylFlpHl71FDl+Xrxbm7btuvYxZer7MleqIguv7yMdm8N8dTFQbRVYKG2kbZGH3xeVo0bhtYbBNePuXVg9Xsam9hXPfqt0V/7dlKNEF6vwfaVmZvf1tiV9fREl9r562uCWmbpSj3wkxaPeEhdOz+o+Gc/1A8HQ+sNgpkfG/1BsMstm73+4FTnR2C7k7Rk1OvKvH+Q/q/y2Zglt5IWj9LkzPs1oEXlAAstQ1tnDNYLKfd4A/CiAizUXNoJL6VL6t+khg3qqVLSf7T8hzRzQ+jc+xZrzKTjihvUXDmLK0M/vjFO39zcT/fWjLSzYZxhvZT8xxC9+sJ4TXxzkkZ1rqqPBz+lxcn5jezAyyxz+w7tPXRYJb1BN2LC8+p70896od8UbQ4pCU6VxzaQulxTV9VWh2YVCrbszrDMXHu/11e/xKhZh9tVq1xxpX77ib7ane+ZOUM7xdXwscd10fxe6hTXWd279tPk5btVrHJVc3uw8nq9GJnede73xZ1w72iE3O5Q5ivItgokxDYytmjm4Od08J4hanVRCP9R0P1YuEpdUk8NbmqgepWStOLTDd7dhSAF20bGRr057hs17H+f981AfpZqsMuspP6eMMm7F/6qJr8+Rg9UWaqEpxYp6O4gyPkpcH8Q9LoxbPUHp7H5XOeIW3vmjdDbUd3V/x92F84J7j3z9PRbUeo2sIkq/K4Bl/YsGKrEFX9T4vDmqlqAd1O5txOpCnX+psaxD2l4/FX6/J2PdcjcEhL3Hs0f+U9FPThQf6+Y04hrx3sa+U6Sim6fpvGjR2vc1NXa/s0HevH1T7QnX7lw5vUSUeZi1YyJ9u7ZR+iCq9qodZ2tWv3jia9phOaMy6x4MZX9UxM1r3eRoiOLq9qt7dXw6Bp9k8/3Obmvm6x5/UB7bu2ovxbo6NeZllm6Vr32po51eErd77hFzXuN1YRO6Xr3zf+a20N15nUTXvEW9X5tmt795xuaNKGXLndfpNv/Hlpg576sckRUq6qIn3fpiBnPetO4c9cBVYqplHPUJw/BtlUQIbXh2q2FTw7Vir8NV2Lzi4Kej9zWSSCRFevob7fFqvvTfXXVine0LNXckKtg23Bpx3sjNDWpqHZMG6tnR4/V+6u2a+2M5zVl2e6gjn4Ev8wiVObimqoW7V1SERfoyjZtVGfbKm0KqjsIYZkVqD8Ibd1k399Gf/B7ebf9B+fa+YFGvl9Oj/RrfMqhNYtcOzVz2DRd2Ku/Gv2uAbf2f/KMhsyvrYGj26tGQY5Q5taOK1UHU3Pech5JTlZmyZIhdAYnuLTzg+GafmFPxTcu67fyIyo11/A3nlHXNq10Vyvv0KiWKl/eUC2a/Enl8vEmJLf1kn70lM/10rfo220X6NKYImZCCHJZZkXr3qiL183VcvNW3X1wk7Z5quni/LyAct0GvDLXa8ZHUWrZtkY+1kmOXJdZ+lFlZJzoxdxyHT8e2mHjUwTzmnEnf6O3+yVq3W3x6nBJCHOV17I6RWTtxro+aa5mb8m+2K77wArNWh2j2xsE+S3xENrKt1Da8O6FLX9mkD6qM0jPtK/xu4sb5Sb4fsyl1IOnfIR0OFnJmSVUMohj1sG3EaHKzUfq9VHd1SqrL2h1l26tXUmX3XSnbv9z+by38ZDWS7qOHjOlV/qWb7XtgssUTHcQ/PwUrD8IpR0fS/1BIA7/WddRLel9swZ/X1N1q53y8oisow5j4nW7d+lmfDlMnRfcpneHNTA3hubo4j66dcD3qnnNRae8AIuoTsfR6n3NMvVqMkLb6lyji7J/oaTImDs1eGisqoe4pnJt5+pVevqxN7X9whhVKvKbdiZXU4fhT6p5qL/pObpEfW8aoPU1r1ZV8/9mKVKno56J/7vfxpi5dqwemnujJgy9MaSOJ1tu6+VhRb3+iCZtLKOYSlFK2ZGkcrGDlNC2dsjt5LbMnvh7ae1dOlpDXt2scjUr6ND2ZNV6aLQev6V8yO9Sc2+nrI59OkTdP2mq159qoPy/oc59W26UtkDDB7yrX6rWVGXPXm1JrqHOo+PV+JSjJMHJ6zVzRCvH99SLay7UTV16q2vjmJDWS17LKjzjS42IW6jGbz2lG713OPz92xoyYpEyL6qoY7tSVbPHM3qiUXB72KG2lbUHv2pYnBbd9paGNghuroJvY6hq/auHmg7fqtrXVjP3jVT1OxM0JLZ6HvMTQj+WWEuLhz2qt7aXU0zFIvptZ7KqdRymIXdeksfnzHm34W3ktOV1QqbWje2ueTe+ogT/GwIKab1kLtfYh17Vj2Wrq1JUinYkldddg55U69p5tRPq/Li0J1/9QQjrxmTMESv9QWCcmtQxXDq8b4+SPWVVtVJ0Ab5w9sfgOpqsX73vdstUqaAStt+GnsqVpl/3HFbJKpUUfdYWWqYyMyMVedZXSqbSft2j38LKqWrFkmdtGziSlqai0VkfWRSWdCXvOahilSqqZOE16miuw0na4339lK16NrfrwuLS0eS9+s1dVpUrlDi7253D+wMCGwAABwj1eBoAADgHCGwAAByAwAYAwAEIbAAAHIDABgDAAQhsAAAcgMAGAMABCGwAAByAwAYAwAEIbAAAHIDABgDgD0/6f1/3ou4o+xf/AAAAAElFTkSuQmCC[/img][br]Anteil der Länder, für die seit 2015 Daten vorliegen – nach Ziel (in Prozent) [size=85](Vereinte Nationen, Bericht 2022, S. 4)[br][/size]

Überlege dir welche Prozentzahl deiner Meinung nach die Mitte dieser Darstellung repräsentiert. Verschiebe dazu auf der linken Seite der Grafik das Dreieck. [br][br][size=85]Hilfreiche Gedanken: Der Mittelwert liegt irgendwo zwischen dem höchsten und dem niedrigsten Wert, ist aber nicht notwendigerweise der Mittelpunkt der vertikalen Skala.[/size]

[size=100]Vergleiche deine Wahl der "Mitte" mit jener deines Mitschülers oder deiner Mitschülerin. Begründe dabei deine Wahl und beziehe Stellung. Frage deinen Mitschüler oder deine Mitschülerin was sie sich überlegt hat und unter welchen Kriterien er oder sie die "Mitte" gewählt hat.[br][br][/size][i]Mögliche Leitfragen: Welche Prozentzahl beschreibt deiner Meinung nach die "Mitte" am besten? [i]Wie bist du vorgegangen? Welche Überlegungen hast du dabei angestellt?[/i] Hast du Extremwerte berücksichtigt? [/i]