（基本不按初中人数分配）徐汇和闵行名额到校测算
本帖最后由 jefferydeng 于 2022-6-30 14:40 编辑根据2022年徐汇和闵行两区名额到校的计划，以及网上搜索到的2021年的各初中招生班级数，测算各初中每个班级获得名额比例
各位群友自己看吧，不在表里的我没有来的及算，太多了。
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/nWEJbNmOG/sov82gIsG6c/nMcks9DcUCsQKh+ccNuIFoFQCqi49qv2UbC1cFghXvbEbiqDqYe5g7gGmqBz74QKJyBd+/rGz5DJ6xbgww9jb+0raZjbcZzMDYpsXaqcRWZqPefXDrlNHmbrsRGKlws9b7N6wBsh1DxDbG2nOkTPY0LOoEynU3hU40vA7m8OYO4C7wMbnCht2JaBVAdT8YaPR6zroxxNjb+EvbBBuybBfdIGq**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**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**+B3VRLBaD9krxlkxMCt0TH8nOkJHsLF9SlzjIU7iHau+pw1WDzNZzpCJeHc6nWwjzlykRvPJmcc+PX**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**N3zcdRPsyWiMdh0o0RWNR6j7Me1Y4gqdy5/wFUVGFLQ/LYZQhy4WKputvvMjdyDpqz/vPH3QPcFxM67HV0Pso1YtDsjxkuu1w+6fw9W/y6t+7ymCsunH8tn1ybY6C+c7n77nU/ZMeLav3VfdKdsZRsxjwQREdFT4BLzREREdFEMNoiIiOiiGGwQERHRRUlpmnL0BBEREV2MJIRgsNHj379/eH19vfVmXNUz7vOj4THsx/Lpx/Lpx/Lp11U+7EYhIiKii2KwQURERBfFYIOIiIguqmNtFAla49nFxTof/Qt7lmuB1F7F5yNYtUch554GSfO4YBsREdETOZjZyL0vBNi3pkI9MDERCgEhQpgw0bm+2NsC2WwJpbUo2ZjlnjZ4ifXIepT1KIqlyqUHOo7PYfemQBtvJbyoY87r58H6Q6fbBBvVhdAItounWVGE7/UnhBB7X+11T3LvC4H53vmYclmWizU1HmGJ69yDJklQnGFLyuWehtX7ttwyF3CUcQYcuTfHwN2mOxJZBlI3256/oYnEUXjBqDvyvH4mrD/0F5tgQ/eLChSaxeJpQgi8rwwEgdGZ0eiOaiN8O4D7oZR3vgYCJHCU7u+P9c4h9zRIc2BRltcQsh03VniV32ZQkWCd7f/OXco9zB3ANNXDn6W7ovutmwPdR2gCyfKHXZs47bx+Jqw/9BetbpRi2fjEUWB5Hr5SE6YKmGG5zLzqIhPboKTt1/tCYH7ClouF24ouFRVuJpC5arFKbD0zMtL11WU7hojL1XGfSg5v7gDuAh+TW28L0Xk973lNdHnNYCNaIUCR2XhfO5h+vgOJiokCQPchPtdQatmI6UvztHyxF3BTYzuYNP9Fiile2mdvZD35QNHiop2YIcYUb0WWAgcuFjab44eQe/gKAHX2xgssHY/1h47wX/0f0SqFWmbHdT/ESjIQAIAiwdl8KoAUVP8rIVBdZPFL+YYM+9OEtIrg6+VVVJ1AafzJHN5XAPNTPFkFzeFpymasg+pmECO6aOeeBiMwEYrizu95A8UHkXvQFAeJ6iIbUT2kO8H6Q0eqZTYirNIZZtPq3zr8zIVadp1krroZy1F1o5ih2E07KhOo6S9yAPnPEsn0pfHz3JvDgYuPEd3Rn0fVtVS8FpjXpgjfuciC4gBu9gADe6kYm1BdKNhtQEdi/aFTbIKN3PsCPm281H+arVGNyZbtBWbL+eHZE5vv5PhZJjDrc2DTLxRd/qygsh0jNIFgde/RRpGJQmugbzFaP4Ax4oG+z6eYsqw4SfeNAlEv1h863SbYyNbT7mdjbDITMuzPKZY/OYAcv+nuR1eWBMlIi2Ai/8EyaT1vI0kwDWPYMjhuYzSaGZnt1F0Vm2erjGngyROLLAVOUhwzHjI6FusP/UVt6utuijz/TYH61FcjKJ/BUYw9CIzm9Nd3X0CIGLZczVr4KH5n7mHuJEBtQGT+m9YCmUdTPvxmc8cfwWo9AKsYA4Fm5ofoYoqZZmbIrjA6BesP/U3vE0SLB3B1PcxrO6W1/VAvoDlroerf24w8LWXrBOpE2fnuY1AwaeyuDj+b4Euqd0NMeYdA15P/IsW+JwGP8+FydEWsP/RH/x3+SCWCVc1OAYpnZnSlJXIPX2k5cCj3oDlThCKGnnvQFGM7kwUmws5fMC66LyB23i26HuzGWzZiYe98cqxkO8YD7c7je7D6d2nd5/UTY/2hP9oJNnRf7EmT6fCFgL/3Z+W3ZBtxjO3/i/r/s7ISERE9Gy4xT0RERBfFYIOIiIguisEGERERXZSUpinHQREREdHFSEIIgnnTXAAADnZJREFUBhs9/v37h9fX11tvxlU94z4/Gh7Dfiyffiyffiyffl3lw24UIiIiuigGG0RERHRRDDaIiIjoomrBRrGi3+6jaPte1Xof5VogtZfm5cWjyg9+l4iIiB7ZTmbDDHfXP9n+u1zlUwiIzEVztZPqZxlcFZi+FI8iV91sd22Vne+OV+5pg5dYj6wHWE8gsppBI5eXH5WHqINXUd188aaoyzHtHhFwiW6U/AdLuPh49AXGcg+aJEFxkoEf17B6ry/RDjjKuBr7yJIgGdgGnFxeflQeoQ5eS+7NMfDUfi5H**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**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
名额到校也不按人数分配吗
yuanjialu 发表于 2022-06-30 14:54
名额到校也不按人数分配吗
算出来就这个结果。 测算的太不严谨了。
要看中考具体人数的，都是4个班，最后中考人数差别大了。我不了解徐汇，但就这个龙苑，我一看就不对，随便查查，2020年毕业生能中考的只有12人，今年可能也没多几个人，那2个名额分配非常正常。再有拿2021年招生班级等同于今年毕业班级，误差更大了。
到区的四校还会争取协调一下，本区市重点到校的怎么可能不按照人数分配，肯定没有问题
按中考报名人数来的
那些回老家的，不算进来的，一直是这样的 安安2000 发表于 2022-06-30 15:11
测算的太不严谨了。
要看中考具体人数的，都是4个班，最后中考人数差别大了。我不了解徐汇，但就这个龙苑，我一看就不对，随便查查，2020年毕业生能中考的只有12人，今年可能也没多几个人，那2个名额分配非常正常。再有拿2021年招生班级等同于今年毕业班级，误差更大了。
到区的四校还会争取协调一下，本区市重点到校的怎么可能不按照人数分配，肯定没有问题
欢迎用真实毕业数据测算啊。我只能拿我找得到的数据。 安安2000 发表于 2022-06-30 15:11
测算的太不严谨了。
要看中考具体人数的，都是4个班，最后中考人数差别大了。我不了解徐汇，但就这个龙苑，我一看就不对，随便查查，2020年毕业生能中考的只有12人，今年可能也没多几个人，那2个名额分配非常正常。再有拿2021年招生班级等同于今年毕业班级，误差更大了。
到区的四校还会争取协调一下，本区市重点到校的怎么可能不按照人数分配，肯定没有问题
我查了查你说的龙苑中学，差不多每年四个班160人，你说的中考12人，有没有出处和依据啊？ 对这个不太了解。 安安2000 发表于 2022-06-30 15:11
测算的太不严谨了。
要看中考具体人数的，都是4个班，最后中考人数差别大了。我不了解徐汇，但就这个龙苑，我一看就不对，随便查查，2020年毕业生能中考的只有12人，今年可能也没多几个人，那2个名额分配非常正常。再有拿2021年招生班级等同于今年毕业班级，误差更大了。
到区的四校还会争取协调一下，本区市重点到校的怎么可能不按照人数分配，肯定没有问题
田二田三 汾阳 长桥 这些都有小一半人不中考？
2021年招生班级和2018年差三年，各初中相对比例不会差太大。
欢迎用最准确的数据来测试哈。 jefferydeng 发表于 2022-6-30 15:29
我查了查你说的龙苑中学，差不多每年四个班160人，你说的中考12人，有没有出处和依据啊？ 对这个不太了解 ...
https://lyzx.xhedu.sh.cn/cms/app/info/doc/index.php/33520，学校官网提到的。
我只是觉得区属市重点名额到校，这个属于区教育局管辖的，没有必要再去搞猫腻，因为每个学校先轮一个，那么各校比例上会有些出入，但总体还是按照中考人数来分配的，只有委属五校的到校是抽签的，看校长手气。 安安2000 发表于 2022-06-30 15:34
https://lyzx.xhedu.sh.cn/cms/app/info/doc/index.php/33520，学校官网提到的。
我只是觉得区属市重点名额到校，这个属于区教育局管辖的，没有必要再去搞猫腻，因为每个学校先轮一个，那么各校比例上会有些出入，但总体还是按照中考人数来分配的，只有委属五校的到校是抽签的，看校长手气。
你再去看看政策原文的表述，是怎么说的。 算班级数是误差很大的。要按中考的报名数算，一来有外地学生不参加上海中考，二来有跨区考试转进转出的考生。 园南2021年入校的是7个班，:) y1g3 发表于 2022-06-30 16:09
算班级数是误差很大的。要按中考的报名数算，一来有外地学生不参加上海中考，二来有跨区考试转进转出的考生。
欢迎用更准确的数测算下哦 我没有数字 https://app.qianfanedu.cn/public/emotion/face_076.png qingran1009 发表于 2022-06-30 16:20
园南2021年入校的是7个班，
好的。 看个大概吧。 https://app.qianfanedu.cn/public/emotion/face_076.png 建议用2018年初中招生数计算，误差略小，徐汇教育上有公布历年招生班级数的 jefferydeng 发表于 2022-06-30 15:25
欢迎用真实毕业数据测算啊。我只能拿我找得到的数据。
我支持楼主数据，目前上海抢人，积分是可以参加中高考，不需要房产证，长桥这边也开了新楼盘，如果摇号不上的人，是只能去长桥中学，还有周边各小学都扩班了，7个班不太会一半人回老家，而且房租也不便宜，没积分的估计会去更差地段，外环外或金山五大新城去租房子生活和求学。 jefferydeng 发表于 2022-06-30 15:32
田二田三 汾阳 长桥 这些都有小一半人不中考？
2021年招生班级和2018年差三年，各初中相对比例不会差太大。
欢迎用最准确的数据来测试哈。
对的，每年不一样的，我们学校2018入学比2021少2个班 其实，可以参加名额到校的学生人数和招生数有很大差异，如华二初，统招的不算在名额到校的人数里面，据说入学的时候签过协议在区里有备案的 jefferydeng 发表于 2022-06-30 15:25
欢迎用真实毕业数据测算啊。我只能拿我找得到的数据。
你去看闵行莘光学校，上师大康城实验，金汇实验，七宝三中网站，他们公示了名额到校资格人数名单，你再来计算下人数比例。还有你这个表不应该拿2021年招生人数，应该拿2018年招生，今年它们是初三。浦江一中今年初三11个班级 jefferydeng 发表于 2022-06-30 16:31
好的。 看个大概吧。
你要做数据，就要所有学校官网，公众号，信息公开网，都一个个查一遍，再来谈所谓的名额到校比例问题 是吧？我还真没有数字呢，算下来的结果如何？ 百分百一样？ 还有颛桥、浦江一中也一样平均数？
另外，徐汇如何？ 您做出来的结论是啥啊？ 我一时间没有那么多数字啊 jefferydeng 发表于 2022-07-01 15:34
是吧？我还真没有数字呢，算下来的结果如何？ 百分百一样？ 还有颛桥、浦江一中也一样平均数？
另外，徐汇如何？
徐汇各学校的班级数 楼主应该去徐汇教育网站查2018年各初中的计划班数。有不少学校2018年后的几届都扩招了，比如中国中学 田二 田三 南模等 shirleyzy 发表于 2022-07-01 20:06
徐汇各学校的班级数 楼主应该去徐汇教育网站查2018年各初中的计划班数。有不少学校2018年后的几届都扩招了，比如中国中学 田二 田三 南模等
哈哈 我第一时间没那么多功夫查那么细 看个大概吧 回头我再仔细算算 徐汇区 看起来不像是按人数平均 同样7个班，但是班级人数不一样，也是很多的。徐教院一个班有近50人，总数350的话，算下来差不多 有没有具体人数数据？ 没有的话 我只能按班级田二汾阳 这些 每个班不到30？ 你算到具体数的话 麻烦也贴下给大家看看吧 田林三中2018年好像只招了6或7个班 园南之前是6个班，21级招了7个班 有个政策是保底一校一人。闵行还算好的，看看浦东80几个初中，在这个政策下航空母舰都哭惨了，建实直接分三家。
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