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AAjQsAABoXAAA0LgAAaFwAANC4AABoXAAA0LgAAKBxAQBA4wIAgMYFAEDjAgCAxgUAAI0LAAAaFwAANC4AAGhcAAA0LgAAaFwAANC4AACgcQEAQOMCAKBxAQBA4wIAgMYFAACNCwAAGhcAAI0LAAAaFwAANC4AAGhcAADQuAAAaFwAANC4AACgcQEAQOMCAED5VKqoBSUkJDiaAAB8EyQUFhY6CgAAfJsYqwAAgMYFAACNCwAAGhcAADQuAABoXAAANC4AAGhcAADQuAAAoHEBAEDjAgCgcQEAQOMCAIDGBQAAjQsAABoXAACNCwAAGhcAADQuAABoXAAA0LgAAGhcAADQuAAAoHEBAEDjAgCAxgUAQOMCAIDGBQAAjQsAABoXAAA0LgAAGhcAADQuAABoXAAA0LgAAKBxAQBA4wIAoHEBAEDjAgCAxgUAAI0LAAAaFwAAjQsAABoXAAA0LgAAaFwAANC4AABoXAAA0LgAAKBxAQBA4wIAgMYFAEDjAgCAxgUAAI0LAAAaFwAANC4AABoXAAA0LgAAaFwAANC4AACgcQEA0LgAAKBxAQBA4wIAgMYFAACNCwAAGhcAgG+jSsfwnIOHDu7L37vxg38c+Gx/3oG8levfrpVSq2WzVkEQNE1vXju1ds2UWo4sAAD/Cxr34KGDS9csfnr6k2++k1X2nLVT0/r3HHBVhx80TW/mEAMAcJIlFBYWHnGmD3fvGP3M/X99fcbRLr12atp9g0b1uKJXpaRKjjUAAN+Ixj146OBvHrrjGOq2SOk+N/L5S86/1OEGAOAUN+7M11++/f6fVNSaOrTu+PyYl06vfLqDDgDAKWjcw7HDf5z8+4f+9EDFrqx2alrWpCWuSAMA4GQ37uHY4b5D+hzxwrJj9soTmcYtAABw4iSe5MANguAHP+/69rrlDj0AACepce994q4TGrhR5u7L3+voAwBwwhv3uZnPPDtj/MlZccf+7Q7HDnsBAAA4gY37fs57I/4w9KSt+OPcPYNG3+YFAACgwn11zdkV/9nuva0bTvLqsyYt9V1oAABUrC/P4769bvnJD9wgCH428ideAwAAKr5xD8cO33L3zadk9e9t3eAeCwAAVKyEwsLCt9ct/8HPu56qLWjWoPkbE5d4JQCAChSLxYY9cPeDw0cmJSWVOENufl7BoYLi01NTaiRXTi7nWgoOFeTm523dnnPgs08bn9fo7Lr1wucWHCqIFrJz964Sn1uvTt3SNqZenbrFN6+0DSs+Z50z0oIg2P3JnnLuRbgl4b4UWU780SsyQ2pKje+c9p3yryW5cnJqSo0SX6ndn+xZvWFt3bQz02rVLrLS0uTm5y1dtTwIgmpVql58Yavkysm5+XnVq1aLnlspCII5b8w6hW/B97Zu2Je/15efAQAVaH7WgnmLMju2vbx7p24lzvDBR9t37fnnhKmTNuZsDqeMvXP0/k8PjH9xQs2U1C4dOnVuf2Xj9IZl1O3E6ZMXvLnwnl8Nb1A/PQiCPXs/7vKjHntz9119ZdcgCB6+a0w45+oNa4MgiFbUJL3RwL79izRutDHRr4pv3i/63/azH/+0+JZcM/C6vbn7onnOqXd2p3Ydo/UOGX1n+Kurr+zase3l0bNmZs5ZtmpF+Pj9RdlhNa7esDZr2VvzFmWG02/q3XfEoCHxWbl6w9odOz/M2fFBx7aXX9T8wiAIOt/YPX7V8U8fe+fo+B2/+squ0TGJjuGjE8a9veadgX37X9T8wuTKyR98tP35GVPeXvPOPb8a3jKjRYlHPnv9mvv/8ECXDp2u6dI9CIJ/HTwYHvYgCF5/aW50VCsdjh0+afcLK83qf2R3vrSLTyMAUFEmTJ0U/r+0xm2Z0aJlRousZW9FERnO2btrj76D+j8+afzjk8YvmbmwxFOPufl51wy8rk2Li2dNmBZNrFenbta0zAefemTyzKlh5sYvNlpRw3MbFN+kaGOiX0VT9uXnhgE3dc7LxRt3U86Wr/Vul+5R5IWLihq3SO5379TtzRWLbx1+R/z2h8+NInXyzKntL27boU37+Bl27t61esPacFHhKeq2rdo8MfKR6Bxz9PRwnuIrilL1l/cOCYIga1pmdPI1NaVGy4wWT77wTL87BhRv4vBZ/e4YUOR1mT1henzohxI3b990yt+FT09/0kcRAKgom3K2hEG5MWdz9vo1R/Xc5MrJ13bvHT4eM25saYG7N3df/DnOUFJS0rDbf1MrtWYF7kvfHteGD/bm7itStEEQvL54UTTD0erQpv2Ux/5UfHp8oN859r4SR3TEG/nbu8se3dGhTfsm6Y2KHMNf3jtkb+6+2ROmFx+Z8LMf/7RtqzbzFmU++cIzRX71y3uHNElvVOQPj9SUGn8e93yRORNfffOVU/5GPAnfrAYA/P9jxqt/jR6Pe/7po31604ZNwgfzFmUWSeQocK++smuJp3jDzK3AfbkhLmFfX7wo/lexWCz/wP5z6p19zAtvmdGiSH0GQfDrgYOizN2bu+/nd5e1O1df2TV+0EVp7vnV8PjNHjD4tr25+4rXaiQcbvH4pPFTZk2LP/h7c/el1kgtPn+9OnWL7Eji5h2bvwnvxQ937/CBBACOX8GhgpRq1aNKW7ZqRWlXfZVm155/Ro/TatWO/9Xg0SPCfxO/KOPC0p7evVO3+JGvxyk1pUZUb1PnvByLxaJfrX1/XdeO3z+GZe7cvWvwqBHh4/jhFpGRg++OzkYvW7Vi7sL5JS6nzhlpIwffXc6Yjk57D3vg7vAs+yUtWh/xz4xRjz0Y7XJ4kdmyVSuKn98NguCJUY/GF3OiTwIA8G0yM3PODT2uvbHnddGU2QvmHtuiipyk3Ll7V3SdVvWq1cp4YmmDgI9NNHZib+6+te+vi6ZnZr12YdPzj2GBz8+YUvYMyZWT/3jvV+M0hoy+s8gtF0JJSUnlvwdFGKC5+XnRgN0LmmaUNnP8nxbRLjc+78vWf3zS+J4Dr39zxeL44q9Xp278xiT+9fUZ34S348YP/uEzCQAcv9Xr14aXLkWnPx+fNP6Ig0ojm3K2PPjUI0EQtG3V5tcDB31tyRvWRo+rVal60vaod9ce8V0bPgjzrjy32Spi5+5dk2dOPeJsLTNa3NS7b/TjgMG3xQflMSv/CxFZnv32l42b3jA6u7wxZ/Otw+/I+P7FY8aNLXHI9TflPO6Bz/b7TAIAxyl7/ZroDG54H67QwiVZR3zu4FEjBgy5/ZqB1wVBMOWxP/1p7FNFRpru//RA9Di8X9jJkVw5uW2rNuHjyTOnhq15tAMVJkydFO5gdLevIxp2+2+ivxM25mz+8ysVcGJ06/ac6HHdtDNLmy3+yE+d83L0OP7scnRA+t0x4PI+3y9SusYqAADfHplZr0X3Ve3WsUt02i88NVu2h+8a88TIR37R/7a9ufv63TGg58Dri9zHYPX6tadqv/r36Rc9Dv/tPn5Py2Ng3/4P3zXm2d+Nu+uOYeV8SlJS0hOjHo1+HPXYg8Vv7HC0Dnz2afS4yFjn0jQ676u7FLfMaPH6S3OLXye3N3ffL+8dEj+g4pvSuNWqVPexBACOR25+3pbtOXMXzg//m5+1oGZKatRA5bmJWHLl5J/9+KfhHbU25mweOubO+H+gTz/n3FO1axdf2Cq+48Pr6o5hOUlJSf16Xl+8EUtTr07d+Ca+Zejt/zp48Hh2JP5cePzYj+IvZfS44ddPmderU3fWhGlLZi68645h8bdp25u7b/DoEdHrldihdcdvwpuyybn/4ZMJAByPP895+YmRj3Tv1C36L/405P1/eKCcy4nOj27M2Tw/a0E0/dKWl0SP9+z9OP4pBYcKwrAeM27s4FEjBo8aMWbc2LkL5x/D8NPS4jsaHTt55tSZmXM6t7/ymJcWfyevI+rX8/popMTe3H23DL39eHak46XluuNE/HEr8dK01JQa/Xpe/9aM12ZPmB5t3rJVK7Zu3/Zl4/oSXQDgWyC8WWyRy/zr1akb3URsY87m8t9ELMqm6HvCgrgbWgVfv79Y2KBhVYffITxvUWZufl73Tt2K33Ygd39eaStdsWZlGZsUP/r25bkzy/ie4fJEfPx9J95csbjs+R++86vvGyvydWJHq16dutGxjT+nW4bodgolbmfj9IbP/m7cL/rfFv4YndlNrPXNaNwzz6jrwwkAHLPSrsH66Y0DosdHvGdWJP7fx6N//k6unBz9w/27768v8YmlJWB069bo7mNFFBwqiB94Wlz8bcKiu4kdT+ZG653z2qtlz5yaUuPpBx6rqFdq0M23hg/KGN8cDWO4+squUc3Pee3VEv9KSUpKuqZL9yLHObHHFT1P+ZuyWYPmlZIq+XACAMfspVnTS7wGq3F6w2j46eSZU8s5eCD+38d3f7InenzDD/qEZwrjxzCUx81xF42VuA0f7trZ+vyLylhCUlJSNFyhW8cuFXXcZmbOKc9sHdq0j/+O3+PM6/AYRjfKLS78E6JWas0i3zHx6IRxZSw5fgsTWzZrfcrflD/6wc0+mQDAMdu5e1cZXy32m5/84miT7qLmF5YWmrMnTK+VWrPEi9jKuKwtftTEyrWris+w8t1VRxxi2+eqXkEQlPEVuEcre/2aUY89WM6ZHxw+MmzT0g5O+c2eMD38w6PEbywL7+BbK7Xmcw89VWSwx7xFmSWeyt26PadWas34c/aJlZIqnfLLznpe2duHEwA49mZaMLdTu1J7pl3rttEwzfEvTijPdxnUOSMtesqjE8bFYrGoX1NTamRNy7ypd99f3jskfoTomysW97tjQNigJd64YMSgIeEy7xx7X5GvDZsya1oQBEccYht+CUL8fX+P56+CKbOmhRtcTklJSc899FSFvF6pKTX+8vRLV1/Z9fFJ44v8YZCbn3fDoJvbtmqz4MU5JR6Qzjd2f/KFZ+LPhWevXzNpxpTZE6bHz59QWFj4+vIF/YZed6relLVT09bN2ujDCQAcgymzpkXDOi/KuLBfz+vLmCFekwaNNm7dXHz6w3eNiWJrzLixK9asrJmSOrBv/07tOhY5p7hz966s5W9t/2hHFKzp55x7TZfu4fcXFBwqKH7BWSwWW/LOsjmvvbrlg60Nz20QPiX/wP6b+/Qr8n0TRTY72qq5C+dHW5K9fs1Ls6aXGNNBEIwZN7acxzA8bkWWdmPP60oc+zFl1rRuHbsUP5Fc2nEeMWhIGWedd+7etXrD2h07P6xerfr2j3YEQVD/rHM6Xnp5kaMR7Xvj8xp9dvCz5dlvL3hzYcNzG3Rse/m776+/oGlGt45dinzlW0JhYeHh2OGLftj849w9p+St+dQ9z/bufK2PKAAAFSUxCIJKSZXuGzTqlKy+dmpajyt6eRkAAKjgxg2CoMcVvWqnpp381T838nl3VAAA4IQ0bqWkSs+NfP4kr7tZg+aXnH+p1wAAgBPSuEEQXHL+pT/pc9tJW3Ht1LQZj872AgAAUOESCgsLox8Oxw73HdLnzXeyTsKKX3ki00lcAOA4/fuL2Mpt/3QciNe+8Vlfa9wgCA4eOtjmhotO9D0W3EsBAIATJ7HIz6dXPj1r0pITev3Z0AHDBS4AACdO0fO4oRM3aMEQBQAATk3jhpn7x8m/f+hPD1TUmmqnpmVNWlIzpZaDDgDACZV07733lviLxMTEy1q07/69Hm+vW/5J3ifHuZqhA4ZPHP1ildOrOOIAQMXKXr9m4vTJb729dP+nBxqnNwon7ty96/4/PNC8cdNxE8d/97vfPbN2nVgs9rsnf79j10fNGzUtLCx89Y2/nV33rNMqnZabn3fXw/dffEGr8Atyc/Pz3t+ycdW61Zu2bQmXlr1+ze+feeyT3L2L31467ZW/tL6gZThnLBYbOuauLh06Fd+kWCz26ht/W7k2e8euD2fMm3V5m3bh9IJDBX/7++ubtm357OC/Jk6ffPkl7Yo/Nzc/b+XaVes2bnh98RsN6qcnV04uOFTwzEsTKyUlnVm7Trhr9/1hzN59e5//y5QzUmuFE8ON7NSuY/6B/QuXZDWon56YmBhuyeKVS+/74wNvvb003Pi3BZQAAAdcSURBVNRwfzMaN6tWpWq00jGPj4028qvtfzf7hRkvlbiD4UbOW5SZ9D9bFU5cuCRr07Yt0aGLn/7ZwX9NnDY5XEtuft7E6ZPjnxsEwYDBt1/TpXv8s+5+eGR0tKPXembmnI/3frxy7arDscPh0wsOFSxbtWL7zh2LVy67oGnGlylb9pumaXqzNyYueeWJzGMeoTt0wPBtC3b9tv8w3/UAAJwIabVq5+bn9bmq15DRdxYcKggn1qtTd97CzHp16va5uld4li0pKanPVb3GvzghKSkpKSkpCIIwnlJTasxbmJmaUiN84tJVy9Nq1e7eqVvj876qtBGDhlSvWu2cemePGDQkmrj2/XUrVq/Mzc8rvknh8qtXq9a9U7c+V/d6c8XicHqUa1VOr9LnqpK/6nXw6BHtWrft3qnbNV26h7uTXDk5Z8e2tFq143etX68bbr1xQJXTvxsdhC3btj495blwR8INKDhU8JP/O6hd67bP/m7cRRkXhnOG+1uvTt1ojZtytszPWrBz965oyu5P9rz7/vp+Pa/v2Pbykjdy1IiLL2x1a79bimx5t45dunfqVq1K1bkL50e5PHjUiG4du7TMaNH1iu9H25Cz44Noj8KiXbZqRfb6NdGU1JQa8xZ99bpEu5mzY1v3Tt0uvrBVtO/vb9lY5btVOrRp37RRk2jOxPK8dS45/9LVf9mQNWnp0AHDyxm7HVp3nPLQ9PfmbPlt/2GnVz7dxw8AOHFWrFl5y9Db77pjWPw5vyAInnzhmU3bNjdObxj+2Di9YaPzGmavX5O9fk2ndh1LXFTdtDM739j9yReeObtuvXBKy4wWUWmlptSIHn/2r8/6XnPt/DcWlL1tjdMbPvLM41F8B0EwM3PONQOvi7Yq3s7du3LzcsNCrVenbnyJRmKxWBAET7zwTJHTpff8evjU2S/Hp+rKtasa1k8Pm75fz+tL28JN2zbf9qOBsxfMjaYkV06en7VgwJDbL2tV8mVUrS+4qGW3dvOzFrTMaBFOyV6/JrV6jXDLG9RPn5k5J8rl1JQvp0czF7d01fKnf/dY5huvHfG13rJta5F9P/es+v1+MWDM42PPPav+0TVuEASVkio1TW/22/7D1s3amDVp6VP3PPvUPc/26tynV+c+zRo0Dx8MHTD8qXuefeWJzG0Ldr38yKzOl3Yx+hYAOAnatLj4rRmvbf9oR5Gzqv953U3VqlQNozDUv0+/zKzXdu35Z5EajrTMaJH96pIgCLr8qEcZayw4VPDhrp0ZTZqNf3FC2dsWi8X25ed+57TvfBWI5190U+++Ua0erd2f7AmCoH69s6t+fdfSatUePfS/7n54ZDSlzhl1jri0WCy2/8CBpo2aTJ39crS01JQaWdMy+/fp1653p/hojvzsxz9d8teFM+fPGfP42Cg042fIzcs9qp3af+BAnTPqTJ45Nf6PgSJZH2p4XoO+Pa6N3/fqVautf31l/bPOueaW66I3QOIxHNmm6c16d762d+drx98zYfw9E96YuCR88Nv+w3p3vvaS8y914hYAOPnqn3XO0lXL46ckV05u17rtg08+Ek1p17rt5JlT66adWdpC5i6cn1w5+dZ+t9RMSS1jXSvXrurX6/oObdrXTEndlLOljDm3bt82euh/hScyQ+GYh005W8JajVevTt3UGqlhqG3K2VJiX4a6d+r2vTbt/zzn5fiJHdq0j/+xcXrDlGrVwxacu3B+iUtb+/66G3r0aZnRos1FF699f1048c0Viz//4vMObdrfdcew0o5SakqNJ0Z9dWBTU2qsWLMyfLx6w9p7fjX8fzo7LYrU7PVrStyG7PVrenfr0Ti94U29+65cu6r4DMMeuDv+x9SUGuc3aT4/68sz6E9PeS4Ign69rq+Zklq9arVwYqnXnAEA/K/wyuuvfv7552m10i5sev76Te81b9Q0MTExe/2af3/+78+/+HzRkqxdH++OLpxKTEw896xz2l98WXhJVhhYhz7/d3QN1sp3s/P35+ftz7+u+w+jq7Jy8/OWvLMsSEgIF56bn7do6d8zmjRLTEgsLCyctyjz8ksuO63SadEmxWKxRUuy9n96YOXaVacnJ0fpGS5n/6cHNm3bMm9h5pWXfa/46eTunbq9sezvuz/Zk/n319q2bBNec7Zmw7v5B/LDC6peeW1e1SpVv/jiizAHw4lrNqzN259X/6xzLr+kXez/xaJruTKaNFvw1sLdn+z5298XhqsL97fy/6l87lnnFBwqeGvF0rPrnvWd076zLy936/acjCbNTqt02r783Bdn/nn2gnlXXva9JnHDISLPvDTx3LPqb8rZ/MOrekY7fvMP+02d8/KOnR/WTTszGpaQmJjY+oKWq9Zlr9u4YcnK5W1btUmunLxz965NOZvzD+y/4D8yYrHY7AVz69c7p1qVqus2btiUs6V5k2bJlZM35Wz59LNPP//i85XvZu/+eE/4Cm75YOvOf+5at3HDnNfmpVZPCfd9U86W/Z/u375zx496961erXq43v8Gb9u8866zh5cAAAAASUVORK5CYII=)
24
• Para el Q1 como grupo minoritario, Arequipa (0,51), Loreto (0,48) y Lima
Metropolitana (0,46) son las regiones con mayor segregación. En el extremo
contrario se encuentran Tumbes (0,34), Madre de Dios (0,34) e Ica (0,34).
• Para el 25% con mayor nivel socioeconómico (Q4), las regiones con mayor
segregación son Arequipa (0,68), Lima Metropolitana (0,62) y Lambayeque
(0,57). Y las que menos segregación tienen: Lima provincias (0,37), Pasco (0,39)
y Huancavelica (0,39).
• Al considerar el P90 como grupo minoritario, las regiones con mayor segregación
son La Libertad (0,52), Cusco (0,49) y Piura (0,46). Huancavelica (0,19), Amazonas
(0,22) y Moquegua (0,22) son las regiones con menor segregación.
Cuadro 5. Segregación escolar por nivel socioeconómico en Perú y sus regiones para escuelas
urbanas. Índice de Aislamiento para P10, Q1, Q4, P10 como grupos minoritarios y promedio.
P10 Q1 Q4 P90 Promedio
Perú 0,2706 0,4487 0,5327 0,4668 0,4297
Amazonas 0,2853 0,4061 0,4368 0,2225 0,3377
Áncash 0,2080 0,3949 0,4418 0,2989 0,3359
Apurímac 0,2283 0,4115 0,4598 0,3313 0,3577
Arequipa 0,2792 0,5161 0,6787 0,4280 0,4755
Ayacucho 0,2319 0,4050 0,4911 0,4096 0,3844
Cajamarca 0,3053 0,4466 0,4003 0,2408 0,3483
Callao 0,2499 0,4338 0,5293 0,3557 0,3922
Cusco 0,2666 0,4412 0,5473 0,4853 0,4351
Huancavelica 0,2107 0,4085 0,3982 0,1899 0,3018
Huánuco 0,2966 0,4687 0,4320 0,2877 0,3712
Ica 0,1661 0,3433 0,4218 0,3694 0,3251
Junín 0,2479 0,4101 0,4833 0,4016 0,3857
La Libertad 0,2358 0,3911 0,5355 0,5163 0,4197
Lambayeque 0,2712 0,4524 0,5716 0,4320 0,4318
Lima provincias 0,1880 0,3673 0,3694 0,2301 0,2887
Lima Metropolitana 0,2749 0,4634 0,6148 0,3978 0,4377
Loreto 0,3115 0,4799 0,5560 0,4059 0,4383
Madre de Dios 0,1837 0,3380 0,4131 0,3344 0,3173
Moquegua 0,2328 0,4045 0,4477 0,3571 0,3605
Pasco 0,2564 0,4186 0,3969 0,2250 0,3242
Piura 0,2817 0,4486 0,5591 0,4602 0,4374
Puno 0,2070 0,3839 0,4969 0,4191 0,3767
San Martín 0,2338 0,4275 0,5034 0,3250 0,3724
Tacna 0,2340 0,4001 0,4572 0,3909 0,3706
Tumbes 0,1645 0,3369 0,4007 0,3403 0,3106
Ucayali 0,1891 0,3678 0,4235 0,3258 0,3266
Fuente: Elaboración propia a partir de datos de la ECE (2016).