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SSMMdatasources.html
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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8" />
<meta name="generator" content="pandoc" />
<meta http-equiv="X-UA-Compatible" content="IE=EDGE" />
<meta name="author" content="jri, with jrm" />
<title>SSMM-data: Data Sources for the SSMM/SR1 Project</title>
<script>/*! jQuery v1.11.3 | (c) 2005, 2015 jQuery Foundation, Inc. | jquery.org/license */
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yr6EIj+LzNj/mfR2vhhRlx0BILZoAYruF0caWQ7YxO66UmeguDREAFHYuC7HJviRgVO6ruJH59h/C/PkgSle8xNzZJULLWq9JMDTE2fjGE146a1Us6PZDGYle6ldWRqn/pdpgHKNGrGIdkRK+KPETT9nKT6kLyDI8xd9A1FgWmXWRAIHwZ37WyZHOVyCadJEmMVz0MadMjDrPho+EIochkVC2xgGiwwsQ6DMv2P7UXqT4x7CdcYGId2BJQQa85EQKmCmwcRejQ9Bm4oATENFPkxPXILHpMPUyWTI5rjNOsIlmEeMbcOCEqInpXACYQ9DDxmFo9vcmsDblcMtg4tqBerNngkIKaFJmrQAPnq1dEzsMXcwjcHdfdCibcAxxA+q/j9m3LM/O7WJka4tSidVCjsvo2lQ/2ewyoYyXwAYyr2PlRoR5MpgVmSUIrM3PQxXPbgjBOaDQFIyFMJvx3Pc5RSYj12ySVF9fwFPQu2e2KWVoL9q3Ayv3IzpGHUdvdPdrNUdicjsTQ2ISy7QU3DrEytIjvbzJnAkmANXjAFERA0MUoPF3/5KFmW14bBNOhwircYgMqoDpUMcDtCmBE82QM2YtdjVLB4kBuKho/bcwQdeboqfQartuU3CsCf+cXkgYAqp/0Ee3RorAZt0AvvOCSI4JICIlGlsV0bsSid/NIEALAAzb6HAgyWHBps6xAOwkJIGcB82CxRQq4sJf3FzA70A+TRqcqjEMETCoez3mkPcpnoALs0ugJY8kQwrC+JE5ik3w9rzrvDRjAQnqgEVvdGrNwlanR0SOKWzxOJOvLJhcd8Cl4AshACUkv9czdMkJCVQSQhp6kp7StAlpVRpK0t0SW6LHeBJnE2QchB5Ccu8kxRghZXGIgZIiSj7gEKMJDClcnX6hgoqJMwiQDigIXg3ioFLCgDgjPtYHYpsF5EiA4kcnN18MZtOrY866dEQAb0FB34OGKHGZQjwW/WDHA60cYFaI/PjpzquUqdaYGcIq+mLez3WLFFCtNBN2QJcrlcoELgiPku5R5dSlJFaCEqEZle1AQzAKC+1SotMcBNyQUFuRHRF6OlimSBgjZeTBCwLyc6A+P/oFRchXTz5ADknYJHxzrJ5pGuIKRQISU6WyKTBBjD8WozmVYWIsto1AS5rxzKlvJu4E/vwOiKxRtCWsDM+eTHUrmwrCK5BIfMzGkD+0Fk5LzBs0jMYXktNDblB06LMNJ09U8pzSLmo14MS0OMjcdrZ31pyQqxJJpRImlSvfYAK8inkYU52QY2FPEVsjoWewpwhRp5yAuNpkqhdb7ku9Seefl2D0B8SMTFD90xi4CSOwwZy9IKkpMtI3FmFUg3/kFutpQGNc3pCR7gvC4sgwbupDu3DyEN+W6YGLNM21jpB49irxy9BSlHrVDlnihGKHwPrbVFtc+h1rVQKZduxIyojccZIIcOCmhEnC7UkY68WXKQgLi2JCDQkQWJRQuk60hZp0D3rtCTINSeY9Ej2kIKYfGxwOs4j9qMM7fYZiipzgcf7TamnehqdhsiMiCawXnz4xAbyCkLAx5EGbo3Ax1u3dUIKnTxIaxwQTHehPl3V491H0+bC5zgpGz7Io+mjdhKlPJ01EeMpM7UsRJMi1nGjmJg35i6bQBAAxjO/ENJubU2mg3ONySEoWklCwdABETcs7ck3jgiuU9pcKKpbgn+3YlzV1FzIkB6pmEDOSSyDfPPlQskznctFji0kpgZjW5RZe6x9kYT4KJcXg0bNiCyif+pZACCyRMmYsfiKmN9tSO65F0R2OO6ytlEhY5Sj6uRKfFxw0ijJaAx/k3QgnAFSq27/2i4GEBA+UvTJKK/9eISNvG46Em5RZfjTYLdeD8kdXHyrwId/DQZUaMCY4gGbke2C8vfjgV/Y9kkRQOJIn/xM9INZSpiBnqX0Q9GlQPpPKAyO5y+W5NMPSRdBCUlmuxl40ZfMCnf2Cp044uI9WLFtCi4YVxKjuRCOBWIb4XbIsGdbo4qtMQnNOQz4XDSui7W/N6l54qOynCqD3DpWQ+mpD7C40D8BZEWGJX3tlAaZBMj1yjvDYKwCJBa201u6nBKE5UE+7QSEhCwrXfbRZylAaAkplhBWX50dumrElePyNMRYUrC99UmcSSNgImhFhDI4BXjMtiqkgizUGCrZ8iwFxU6fQ8GEHCFdLewwxYWxgScAYMdMLmcZR6b7rZl95eQVDGVoUKcRMM1ixXQtXNkBETZkVVPg8LoSrdetHzkuM7DjZRHP02tCxA1fmkXKF3VzfN1pc1cv/8lbTIkkYpqKM9VOhp65ktYk+Q46myFWBapDfyWUCnsnI00QTBQmuFjMZTcd0V2NQ768Fhpby04k2IzNR1wKabuGJqYWwSly6ocMFGTeeI+ejsWDYgEvr66QgqdcIbFYDNgsm0x9UHY6SCd5+7tpsLpKdvhahIDyYmEJQCqMqtCF6UlrE5GXRmbu+vtm3BFSxI6ND6UxIE7GsGMgWqghXxSnaRJuGFveTcK5ZVSPJyjUxe1dKgI6kNF7EZhIZs8y8FVqwEfbM0Xk2ltORVDKZZM40SD3qQoQe0orJEKwPfZwm3YPqwixhUMOndis6MhbmfvLBKjC8sKKIZKbJk8L11oNkCQzCgvjhyyEiQSuJcgCQSG4Mocfgc0Hkwcjal1UNgP0CBPikYqBIk9tONv4kLtBswH07vUCjEaHiFGlLf8MgXKzSgjp2HolRRccAOh0ILHz9qlGgIFkwAnzHJRjWFhlA7ROwINyB5HFj59PRZHFor6voq7l23EPNRwdWhgawqbivLSjRA4htEYUFkjESu67icTg5S0aW1sOkCiIysfJ9UnIWevOOLGpepcBxy1wEhd2WI3AZg7sr9WBmHWyasxMcvY/iOmsLtHSWNUWEGk9hScMPShasUA1AcHOtRZlqMeQ0OzYS9vQvYUjOLrzP07BUAFikcJNMi7gIxEw4pL1G54TcmmmoAQ5s7TGWErJZ2Io4yQ0ljRYhL8H5e62oDtLF8aDpnIvZ5R3GWJyAugdiiJW9hQAVTsnCBHhwu7rkBlBX6r3b7ejEY0k5GGeyKv66v+6dg7mcJTrWHbtMywbedYqCQ0FPwoytmSWsL8WTtChZCKKzEF7vP6De4x2BJkkniMgSdWhbeBSLtJZR9CTHetK1xb34AYIJ37OegYIoPVbXgJ/qDQK+bfCtxQRVKQu77WzOoM6SGL7MaZwCGJVk46aImai9fmam+WpHG+0BtQPWUgZ7RIAlPq6lkECUhZQ2gqWkMYKcYMYaIc4gYCDFHYa2d1nzp3+J1eCBay8IYZ0wQRKGAqvCuZ/UgbQPyllosq+XtfKIZOzmeJqRazpmmoP/76YfkjzV2NlXTDSBYB04SVlNQsFTbGPk1t/I4Jktu0XSgifO2ozFOiwd/0SssJDn0dn4xqk4GDTTKX73/wQyBLdqgJ+Wx6AQaba3BA9CKEzjtQYIfAsiYamapq80LAamYjinlKXUkxdpIDk0puXUEYzSalfRibAeDAKpNiqQ0FTwoxuGYzRnisyTotdVTclis1LHRQCy/qqL8oUaQzWRxilq5Mi0IJGtMY02cGLD69vGjkj3p6pGePKI8bkBv5evq8SjjyU04vJR2cQXQwSJyoinDsUJHCQ50jrFTT7yRdbdYQMB3MYCb6uBzJ9ewhXYPAIZSXfeEQBZZ3GPN3Nbhh/wkvAJLXnQMdi5NYYZ5GHE400GS5rXkOZSQsdZgIbzRnF9ueLnsfQ47wHAsirITnTlkCcuWWIUhJSbpM3wWhXNHvt2xUsKKMpdBSbJnBMcihkoDqAd1Zml/R4yrzow1Q2A5G+kzo/RhRxQS2lCSDRV8LlYLBOOoo1bF4jwJAwKMK1tWLHlu9i0j4Ig8qVm6wE1DxXwAwQwsaBWUg2pOOol2dHxyt6npwJEdLDDVYyRc2D0HbcbLUJQj8gPevQBUBOUHXPrsAPBERICpnYESeu2OHotpXQxRGlCCtLdIsu23MhZVEoJg8Qumj/UMMc34IBqTKLDTp76WzL/dMjCxK7MjhiGjeYAC/kj/jY/Rde7hpSM1xChrog6yZ7OWTuD56xBJnGFE+pT2ElSyCnJcwVzCjkqeNLfMEJqKW0G7OFIp0G+9mh50I9o8k1tpCY0xYqFNIALgIfc2me4n1bmJnRZ89oepgLPT0NTMLNZsvSCZAc3TXaNB07vail36/dBySis4m9/DR8izaLJW6bWCkVgm5T+ius3ZXq4xI+GnbveLbdRwF2mNtsrE0JjYc1AXknCOrLSu7Te/r4dPYMCl5qtiHNTn+TPbh1jCBHH+dMJNhwNgs3nT+OhQoQ0vYif56BMG6WowAcHR3DjQolxLzyVekHj00PBAaW7IIAF1EF+uRIWyXjQMAs2chdpaKPNaB+kSezYt0+CA04sOg5vx8Fr7Ofa9sUv87h7SLAUFSzbetCCZ9pmyLt6l6/TzoA1/ZBG9bIUVHLAbi/kdBFgYGyGwRQGBpkqCEg2ah9UD6EedEcEL3j4y0BQQCiExEnocA3SZboh+epgd3YsOkHskZwPuQ5OoyA0fTA5AXrHcUOQF+zkJHIA7PwCDk1gGVmGUZSSoPhNf+Tklauz98QofOlCIQ/tCD4dosHYPqtPCXB3agggQQIqQJsSkB+qn0rkQ1toJjON/OtCIB9RYv3PqRA4C4U68ZMlZn6BdgEvi2ziU+TQ6NIw3ej+AtDwMGEZk7e2IjxUWKdAxyaw9OCwSmeADTPPleyk6UhGDNXQb++W6Uk4q6F7/rg6WVTo82IoCxSIsFDrav4EPHphD3u4hR53WKVvYZUwNCCeM4PMBWzK+EfIthZOkuAwPo5C5jgoZgn6dUdvx5rIDmd58cXXdKNfw3l+wM2UjgrDJeQHhbD7HW2QDoZMCujgIUkk5Fg8VCsdyjOtnGRx8wgKRPZN5dR0zPUyfGZFVihbFRniXZFOZGKPnEQzU3AnD1KfR6weHW2XS6KbPJxUkOTZsAB9vTVp3Le1F8q5l+DMcLiIq78jxAImD2pGFw0VHfRatScGlK6SMu8leTmhUSMy8Uhdd6xBiH3Gdman4tjQGLboJfqz6fL2WKHTmrfsKZRYX6BTDjDldKMosaSTLdQS7oDisJNqAUhw1PfTlnacCO8vl8706Km1FROgLDmudzxg+EWTiArtHgLsRrAXYWdB0NmToNCJdKm0KWycZQqb+Mw76Qy29iQ5up/X7oyw8QZ75kP5F6iJAJz6KCmqxz8fEa/xnsMYcIO/vEkGRuMckhr4rIeLrKaXnmIzlNLxbFspOphkcnJdnz/Chp/Vlpj2P7jJQmQRwGnltkTV5dbF9fE3/fxoSqTROgq9wFUlbuYzYcasE0ouzBo+dDCDzxKAfhbAZYxQiHrLzV2iVexnDX/QnT1fsT/xuhu1ui5qIytgbGmRoQkeQooO8eJNNZsf0iALur8QxZFH0nCMnjerYQqG1pIfjyVZWxhVRznmmfLG00BcBWJE6hzQWRyFknuJnXuk8A5FRDCulwrWASSNoBtR+CtGdkPwYN2o7DOw/VGlCZPusRBFXODQdUM5zeHDIVuAJBLqbO/f9Qua+pDqEPk230Sob9lEZ8BHiCorjVghuI0lI4JDgHGRDD/prQ84B1pVGkIpVUAHCG+iz3Bn3qm2AVrYcYWhock4jso5+J7HfHVj4WMIQdGctq3psBCVVzupQOEioBGA2Bk+UILT7+VoX5mdxxA5fS42gISQVi/HTzrgMxu0fY6hE1ocUwwbsbWcezrY2n6S8/6cxXkOH4prpmPuFoikTzY7T85C4T2XYlbxLglSv2uLCgFv8Quk/wdesUdWPeHYIH0R729JIisN9Apdd4eB10aqwXrPt+Su9mA8k8n1sjMwnfsfF2j3jMUzXepSHmZ/BfqXvzgUNQQWOXO8YEuFBh4QTYCkOAPxywpYu1VxiDyJmKVcmJPGWk/gc3Pov02StyYDahwmzw3E1gYC9wkupyWfDqDSUMpCTH5e5N8B//lHiMuIkTNw4USHrJU67bjXGqNav6PBuQSoqTxc8avHoGmvqNtXzIaoyMIQIiiUHIM64cXieouplhNYln7qgc4wBVAYR104kO+CvKqsg4yIUlFNThVUAKZxZt1XA34h3TCUUiXVkZ0w8Hh2R0Z5L0b4LZvPd/p1gi/07h8qfwHrByuSxglc9cI4QIg2oqvC/qm0i7tjPLTgDhoWTAKDO2ONW5oe+/eKB9vZB8K6C25yCZ9RFVMnb6NRdRjyVK57CHHSkJBfnM2/j4ODUwRkqrtBBCrDsDpt8jhZdXoy/1BCqw3sSGhgGGy0a5Jw6BP/TExoCmNFYjZl248A0osgPyGEmRA+fAsqPVaNAfytu0vuQJ7rk3J4kTDTR2AlCHJ5cls26opZM4w3jMULh2YXKpcqGBtuleAlOZnaZGbD6DHzMd6i2oFeJ8z9XYmalg1Szd/ocZDc1C7Y6vcALJz2lYnTXiWEr2wawtoR4g3jvWUU2Ngjd1cewtFzEvM1NiHZPeLlIXFbBPawxNgMwwAlyNSuGF3zizVeOoC9bag1qRAQKQE/EZBWC2J8mnXAN2aTBboZ7HewnObE8CwROudZHmUM5oZ/Ugd/JZQK8lvAm43uDRAbyW8gZ+ZGq0EVerVGUKUSm/Idn8AQHdR4m7bue88WBwft9mSCeMOt1ncBwziOmJYI2ZR7ewNMPiCugmSsE4EyQ+QATJG6qORMGd4snEzc6B4shPIo4G1T7PgSm8PY5eUkPdF8JZ0VBtadbHXoJgnEhZQaODPj2gpODKJY5Yp4DOsLBFxWbvXN755KWylJm+oOd4zEL9Hpubuy2gyyfxh8oEfFutnYWdfB8PdESLWYvSqbElP9qo3u6KTmkhoacDauMNNjj0oy40DFV7Ql0aZj77xfGl7TJNHnIwgqOkenruYYNo6h724+zUQ7+vkCpZB+pGA562hYQiDxHVWOq0oDQl/QsoiY+cuI7iWq/ZIBtHcXJ7kks+h2fCNUPA82BzjnqktNts+RLdk1VSu+tqEn7QZCCsvEqk6FkfiOYkrsw092J8jsfIuEKypNjLxrKA9kiA19mxBD2suxQKCzwXGws7kEJvlhUiV9tArLIdZW0IORcxEzdzKmjtFhsjKy/44XYXdI5noQoRcvjZ1RMPACRqYg2V1+OwOepcOknRLLFdYgTkT5UApt/JhLM3jeFYprZV+Zow2g8fP+U68hkKFWJj2yBbKqsrp25xkZX1DAjUw52IMYWaOhab8Kp05VrdNftqwRrymWF4OQSjbdfzmRZirK8FMJELEgER2PHjEAN9pGfLhCUiTJFbd5LBkOBMaxLr/A1SY9dXFz4RjzoU9ExfJCmx/I9FKEGT3n2cmzl2X42L3Jh+AbQq6sA+Ss1kitoa4TAYgKHaoybHUDJ51oETdeI/9ThSmjWGkyLi5QAGWhL0BG1UsTyRGRJOldKBrYJeB8ljLJHfATWTEQBXBDnQexOHTB+Un44zExFE4vLytcu5NwpWrUxO/0ZICUGM7hGABXym0V6ZvDST0E370St9MIWQOTWngeoQHUTdCJUP04spMBMS8LSker9cReVQkULFDIZDFPrhTzBl6sed9wcZQTbL+BDqMyaN3RJPh/anbx+Iv+qgQdAa3M9Z5JmvYlh4qop+Ho1F1W5gbOE9YKLgAnWytXElU4G8GtW47lhgFE6gaSs+gs37sFvi0PPVvA5dnCBgILTwoKd/+DoL9F6inlM7H4rOTzD79KJgKlZO/Zgt22UsKhrAaXU5ZcLrAglTVKJEmNJvORGN1vqrcfSMizfpsgbIe9zno+gBoKVXgIL/VI8dB1O5o/R3Suez/gD7M781ShjKpIIORM/nxG+jjhhgPwsn2IoXsPGPqYHXA63zJ07M2GPEykQwJBYLK808qYxuIew4frk52nhCsnCYmXiR6CuapvE1IwRB4/QftDbEn+AucIr1oxrLabRj9q4ae0+fXkHnteAJwXRbVkR0mctVSwEbqhJiMSZUp9DNbEDMmjX22m3ABpkrPQQTP3S1sib5pD2VRKRd+eNAjLYyT0hGrdjWJZy24OYXRoWQAIhGBZRxuBFMjjZQhpgrWo8SiFYbojcHO8V5DyscJpLTHyx9Fimassyo5U6WNtquUMYgccaHY5amgR3PQzq3ToNM5ABnoB9kuxsebqmYZm0R9qxJbFXCQ1UPyFIbxoUraTJFDpCk0Wk9GaYJKz/6oHwEP0Q14lMtlddQsOAU9zlYdMVHiT7RQP3XCmWYDcHCGbVRHGnHuwzScA0BaSBOGkz3lM8CArjrBsyEoV6Ys4qgDK3ykQQPZ3hCRGNXQTNNXbEb6tDiTDLKOyMzRhCFT+mAUmiYbV3YQVqFVp9dorv+TsLeCykS2b5yyu8AV7IS9cxcL8z4Kfwp+xJyYLv1OsxQCZwTB4a8BZ/5EdxTBJthApqyfd9u3ifr/WILTqq5VqgwMT9SOxbSGWLQJUUWCVi4k9tho9nEsbUh7U6NUsLmkYFXOhZ0kmamaJLRNJzSj/qn4Mso6zb6iLLBXoaZ6AqeWCjHQm2lztnejYYM2eubnpBdKVLORZhudH3JF1waBJKA9+W8EhMj3Kzf0L4vi4k6RoHh3Z5YgmSZmk6ns4fjScjAoL8GoOECgqgYEBYUGFVO4FUv4/YtowhEmTs0vrvlD/CrisnoBNDAcUi/teY7OctFlmARQzjOItrrlKuPO6E2Ox93L4O/4DcgV/dZ7qR3VBwVQxP1GCieA4RIpweYJ5FoYrHxqRBdJjnqbsikA2Ictbb8vE1GYIo9dacK0REgDX4smy6GAkxlH1yCGGsk+tgiDhNKuKu3yNrMdxafmKTF632F8Vx4BNK57GvlFisrkjN9WDAtjsWA0ENT2e2nETUb/n7qwhvGnrHuf5bX6Vh/n3xffU3PeHdR+FA92i6ufT3AlyAREoNDh6chiMWTvjKjHDeRhOa9YkOQRq1vQXEMppAQVwHCuIcV2g5rBn6GmZZpTR7vnSD6ZmhdSl176gqKTXu5E+YbfL0adwNtHP7dT7t7b46DVZIkzaRJOM+S6KcrzYVg+T3wSRFRQashjfU18NutrKa/7PXbtuJvpIjbgPeqd+pjmRw6YKpnANFSQcpzTZgpSNJ6J7uiagAbir/8tNXJ/OsOnRh6iuIexxrmkIneAgz8QoLmiaJ8sLQrELVK2yn3wOHp57BAZJhDZjTBzyoRAuuZ4eoxHruY1pSb7qq79cIeAdOwin4GdgMeIMHeG+FZWYaiUQQyC5b50zKjYw97dFjAeY2I4Bnl105Iku1y0lMA1ZHolLx19uZnRdILcXKlZGQx/GdEqSsMRU1BIrFqRcV1qQOOHyxOLXEGcbRtAEsuAC2V4K3p5mFJ22IDWaEkk9ttf5Izb2LkD1MnrSwztXmmD/Qi/EmVEFBfiKGmftsPwVaIoZanlKndMZsIBOskFYpDOq3QUs9aSbAAtL5Dbokus2G4/asthNMK5UQKCOhU97oaOYNGsTah+jfCKsZnTRn5TbhFX8ghg8CBYt/BjeYYYUrtUZ5jVij/op7V5SsbA4mYTOwZ46hqdpbB6Qvq3AS2HHNkC15pTDIcDNGsMPXaBidXYPHc6PJAkRh29Vx8KcgX46LoUQBhRM+3SW6Opll/wgxxsPgKJKzr5QCmwkUxNbeg6Wj34SUnEzOemSuvS2OetRCO8Tyy+QbSKVJcqkia+GvDefFwMOmgnD7h81TUtMn+mRpyJJ349HhAnoWFTejhpYTL9G8N2nVg1qkXBeoS9Nw2fB27t7trm7d/QK7Cr4uoCeOQ7/8JfKT77KiDzLImESHw/0wf73QeHu74hxv7uihi4fTX+XEwAyQG3264dwv17aJ5N335Vt9sdrAXhPOAv8JFvzqyYXwfx8WYJaef1gMl98JRFyl5Mv5Uo/oVH5ww5OzLFsiTPDns7fS6EURSSWd/92BxMYQ8sBaH+j+wthQPdVgDGpTfi+JQIWMD8xKqULliRH01rTeyF8x8q/GBEEEBrAJMPf25UQwi0b8tmqRXY7kIvNkzrkvRWLnxoGYEJsz8u4oOyMp8cHyaybb1HdMCaLApUE+/7xLIZGP6H9xuSEXp1zLIdjk5nBaMuV/yTDRRP8Y2ww5RO6d2D94o+6ucWIqUAvgHIHXhZsmDhjVLczmZ3ca0Cb3PpKwt2UtHVQ0BgFJsqqTsnzZPlKahRUkEu4qmkJt+kqdae76ViWe3STan69yaF9+fESD2lcQshLHWVu4ovItXxO69bqC5p1nZLvI8NdQB9s9UNaJGlQ5mG947ipdDA0eTIw/A1zEdjWquIsQXXGIVEH0thC5M+W9pZe7IhAVnPJkYCCXN5a32HjN6nsvokEqRS44tGIs7s2LVTvcrHAF+RVmI8L4HUYk4x+67AxSMJKqCg8zrGOgvK9kNMdDrNiUtSWuHFpC8/p5qIQrEo/H+1l/0cAwQ2nKmpWxKcMIuHY44Y6DlkpO48tRuUGBWT0FyHwSKO72Ud+tJUfdaZ4CWNijzZtlRa8+CkmO/EwHYfPZFU/hzjFWH7vnzHRMo+aF9u8qHSAiEkA2HjoNQPEwHsDKOt6hOoK3Ce/+/9boMWDa44I6FrQhdgS7OnNaSzwxWKZMcyHi6LN4WC6sSj0qm2PSOGBTvDs/GWJS6SwEN/ULwpb4LQo9fYjUfSXRwZkynUazlSpvX9e+G2zor8l+YaMxSEomDdLHGcD6YVQPegTaA74H8+V4WvJkFUrjMLGLlvSZQWvi8/QA7yzQ8GPno//5SJHRP/OqKObPCo81s/+6WgLqykYpGAgQZhVDEBPXWgU/WzFZjKUhSFInufPRiMAUULC6T11yL45ZrRoB4DzOyJShKXaAJIBS9wzLYIoCEcJKQW8GVCx4fihqJ6mshBUXSw3wWVj3grrHQlGNGhIDNNzsxQ3M+GWn6ASobIWC+LbYOC6UpahVO13Zs2zOzZC8z7FmA05JhUGyBsF4tsG0drcggIFzgg/kpf3+CnAXKiMgIE8Jk/Mhpkc8DUJEUzDSnWlQFme3d0sHZDrg7LavtsEX3cHwjCYA17pMTfx8Ajw9hHscN67hyo+RJQ4458RmPywXykkVcW688oVUrQhahpPRvTWPnuI0B+SkQu7dCyvLRyFYlC1LG1gRCIvn3rwQeINzZQC2KXq31FaR9UmVV2QeGVqBHjmE+VMd3b1fhCynD0pQNhCG6/WCDbKPyE7NRQzL3BzQAJ0g09aUzcQA6mUp9iZFK6Sbp/YbHjo++7/Wj8S4YNa+ZdqAw1hDrKWFXv9+zaXpf8ZTDSbiqsxnwN/CzK5tPkOr4tRh2kY3Bn9JtalbIOI4b3F7F1vPQMfoDcdxMS8CW9m/NCW/HILTUVWQIPiD0j1A6bo8vsv6P1hCESl2abrSJWDrq5sSzUpwoxaCU9FtJyYH4QFMxDBpkkBR6kn0LMPO+5EJ7Z6bCiRoPedRZ/P0SSdii7ZnPAtVwwHUidcdyspwncz5uq6vvm4IEDbJVLUFCn/LvIHfooUBTkFO130FC7CmmcrKdgDJcid9mvVzsDSibOoXtIf9k6ABle3PmIxejodc4aob0QKS432srrCMndbfD454q52V01G4q913mC5HOsTzWF4h2No1av1VbcUgWAqyoZl+11PoFYnNv2HwAODeNRkHj+8SF1fcvVBu6MrehHAZK1Gm69ICcTKizykHgGFx7QdowTVAsYEF2tVc0Z6wLryz2FI1sc5By2znJAAmINndoJiB4sfPdPrTC8RnkW7KRCwxC6YvXg5ahMlQuMpoCSXjOlBy0Kij+bsCYPbGp8BdCBiLmLSAkEQRaieWo1SYvZIKJGj9Ur/eWHjiB7SOVdqMAVmpBvfRiebsFjger7DC+8kRFGtNrTrnnGD2GAJb8rQCWkUPYHhwXsjNBSkE6lGWUj5QNhK0DMNM2l+kXRZ0KLZaGsFSIdQz/HXDxf3/TE30+DgBKWGWdxElyLccJfEpjsnszECNoDGZpdwdRgCixeg9L4EPhH+RptvRMVRaahu4cySjS3P5wxAUCPkmn+rhyASpmiTaiDeggaIxYBmtLZDDhiWIJaBgzfCsAGUF1Q1SFZYyXDt9skCaxJsxK2Ms65dmdp5WAZyxik/zbrTQk5KmgxCg/f45L0jywebOWUYFJQAJia7XzCV0x89rpp/f3AVWhSPyTanqmik2SkD8A3Ml4NhIGLAjBXtPShwKYfi2eXtrDuKLk4QlSyTw1ftXgwqA2jUuopDl+5tfUWZNwBpEPXghzbBggYCw/dhy0ntds2yeHCDKkF/YxQjNIL/F/37jLPHCKBO9ibwYCmuxImIo0ijV2Wbg3kSN2psoe8IsABv3RNFaF9uMyCtCYtqcD+qNOhwMlfARQUdJ2tUX+MNJqOwIciWalZsmEjt07tfa8ma4cji9sqz+Q9hWfmMoKEbIHPOQORbhQRHIsrTYlnVTNvcq1imqmmPDdVDkJgRcTgB8Sb6epCQVmFZe+jGDiNJQLWnfx+drTKYjm0G8yH0ZAGMWzEJhUEQ4Maimgf/bkvo8PLVBsZl152y5S8+HRDfZIMCbYZ1WDp4yrdchOJw8k6R+/2pHmydK4NIK2PHdFPHtoLmHxRDwLFb7eB+M4zNZcB9NrAgjVyzLM7xyYSY13ykWfIEEd2n5/iYp3ZdrCf7fL+en+sIJu2W7E30MrAgZBD1rAAbZHPgeAMtKCg3NpSpYQUDWJu9bT3V7tOKv+NRiJc8JAKqqgCA/PNRBR7ChpiEulyQApMK1AyqcWnpSOmYh6yLiWkGJ2mklCSPIqN7UypWj3dGi5MvsHQ87MrB4VFgypJaFriaHivwcHIpmyi5LhNqtem4q0n8awM19Qk8BOS0EsqGscuuydYsIGsbT5GHnERUiMpKJl4ON7qjB4fEqlGN/hCky89232UQCiaeWpDYCJINXjT6xl4Gc7DxRCtgV0i1ma4RgWLsNtnEBRQFqZggCLiuyEydmFd7WlogpkCw5G1x4ft2psm3KAREwVwr1Gzl6RT7FDAqpVal34ewVm3VH4qn5mjGj+bYL1NgfLNeXDwtmYSpwzbruDKpTjOdgiIHDVQSb5/zBgSMbHLkxWWgghIh9QTFSDILixVwg0Eg1puooBiHAt7DzwJ7m8i8/i+jHvKf0QDnnHVkVTIqMvIQImOrzCJwhSR7qYB5gSwL6aWL9hERHCZc4G2+JrpgHNB8eCCmcIWIQ6rSdyPCyftXkDlErUkHafHRlkOIjxGbAktz75bnh50dU7YHk+Mz7wwstg6RFZb+TZuSOx1qqP5C66c0mptQmzIC2dlpte7vZrauAMm/7RfBYkGtXWGiaWTtwvAQiq2oD4YixPLXE2khB2FRaNRDTk+9sZ6K74Ia9VntCpN4BhJGJMT4Z5c5FhSepRCRWmBXqx+whVZC4me4saDs2iNqXMuCl6iAZflH8fscC1sTsy4PHeC+XYuqMBMUun5YezKbRKmEPwuK+CLzijPEQgfhahQswBBLfg/GBgBiI4QwAqzJkkyYAWtjzSg2ILgMAgqxYfwERRo3zruBL9WOryUArSD8sQOcD7fvIODJxKFS615KFPsb68USBEPPj1orNzFY2xoTtNBVTyzBhPbhFH0PI5AtlJBl2aSgNPYzxYLw7XTDBDinmVoENwiGzmngrMo8OmnRP0Z0i0Zrln9DDFcnmOoBZjABaQIbPOJYZGqX+RCMlDDbElcjaROLDoualmUIQ88Kekk3iM4OQrADcxi3rJguS4MOIBIgKgXrjd1WkbCdqxJk/4efRIFsavZA7KvvJQqp3Iid5Z0NFc5aiMRzGN3vrpBzaMy4JYde3wr96PjN90AYOIbyp6T4zj8LoE66OGcX1Ef4Z3KoWLAUF4BTg7ug/AbkG5UNQXAMkQezujSHeir2uTThgd3gpyzDrbnEdDRH2W7U6PeRvBX1ZFMP5RM+Zu6UUZZD8hDPHldVWntTCNk7To8IeOW9yn2wx0gmurwqC60AOde4r3ETi5pVMSDK8wxhoGAoEX9NLWHIR33VbrbMveii2jAJlrxwytTHbWNu8Y4N8vCCyZjAX/pcsfwXbLze2+D+u33OGBoJyAAL3jn3RuEcdp5If8O+a4NKWvxOTyDltG0IWoHhwVGe7dKkCWFT++tm+haBCikRUUMrMhYKZJKYoVuv/bsJzO8DwfVIInQq3g3BYypiz8baogH3r3GwqCwFtZnz4xMjAVOYnyOi5HWbFA8n0qz1OjSpHWFzpQOpvkNETZBGpxN8ybhtqV/DMUxd9uFZmBfKXMCn/SqkWJyKPnT6lq+4zBZni6fYRByJn6OK+OgPBGRAJluwGSk4wxjOOzyce/PKODwRlsgrVkdcsEiYrqYdXo0Er2GXi2GQZd0tNJT6c9pK1EEJG1zgDJBoTVuCXGAU8BKTvCO/cEQ1Wjk3Zzuy90JX4m3O5IlxVFhYkSUwuQB2up7jhvkm+bddRQu5F9s0XftGEJ9JSuSk+ZachCbdU45fEqbugzTIUokwoAKvpUQF/CvLbWW5BNQFqFkJg2f30E/48StNe5QwBg8zz3YAJ82FZoXBxXSv4QDooDo79NixyglO9AembuBcx5Re3CwOKTHebOPhkmFC7wNaWtoBhFuV4AkEuJ0J+1pT0tLkvFVZaNzfhs/Kd3+A9YsImlO4XK4vpCo/elHQi/9gkFg07xxnuXLt21unCIpDV+bbRxb7FC6nWYTsMFF8+1LUg4JFjVt3vqbuhHmDKbgQ4e+RGizRiO8ky05LQGMdL2IKLSNar0kNG7lHJMaXr5mLdG3nykgj6vB/KVijd1ARWkFEf3yiUw1v/WaQivVUpIDdSNrrKbjO5NPnxz6qTTGgYg03HgPhDrCFyYZTi3XQw3HXCva39mpLNFtz8AiEhxAJHpWX13gCTAwgm9YTvMeiqetdNQv6IU0hH0G+ZManTqDLPjyrOse7WiiwOJCG+J0pZYULhN8NILulmYYvmVcV2MjAfA39sGKqGdjpiPo86fecg65UPyXDIAOyOkCx5NQsLeD4gGVjTVDwOHWkbbBW0GeNjDkcSOn2Nq4cEssP54t9D749A7M1AIOBl0Fi0sSO5v3P7LCBrM6ZwFY6kp2FX6AcbGUdybnfChHPyu6WlRZ2Fwv9YM0RMI7kISRgR8HpQSJJOyTfXj/6gQKuihPtiUtlCQVPohUgzfezTg8o1b3n9pNZeco1QucaoXe40Fa5JYhqdTspFmxGtW9h5ezLFZs3j/N46f+S2rjYNC2JySXrnSAFhvAkz9a5L3pza8eYKHNoPrvBRESpxYPJdKVUxBE39nJ1chrAFpy4MMkf0qKgYALctGg1DQI1kIymyeS2AJNT4X240d3IFQb/0jQbaHJ2YRK8A+ls6WMhWmpCXYG5jqapGs5/eOJErxi2/2KWVHiPellTgh/fNl/2KYPKb7DUcAg+mCOPQFCiU9Mq/WLcU1xxC8aLePFZZlE+PCLzf7ey46INWRw2kcXySR9FDgByXzfxiNKwDFbUSMMhALPFSedyjEVM5442GZ4hTrsAEvZxIieSHGSgkwFh/nFNdrrFD4tBH4Il7fW6ur4J8Xaz7RW9jgtuPEXQsYk7gcMs2neu3zJwTyUerHKSh1iTBkj2YJh1SSOZL5pLuQbFFAvyO4k1Hxg2h99MTC6cTUkbONQIAnEfGsGkNFWRbuRyyaEZInM5pij73EA9rPIUfU4XoqQpHT9THZkW+oKFLvpyvTBMM69tN1Ydwv1LIEhHsC+ueVG+w+kyCPsvV3erRikcscHjZCkccx6VrBkBRusTDDd8847GA7p2Ucy0y0HdSRN6YIBciYa4vuXcAZbQAuSEmzw+H/AuOx+aH+tBL88H57D0MsqyiZxhOEQkF/8DR1d2hSPMj/sNOa5rxcUnBgH8ictv2J+cb4BA4v3MCShdZ2vtK30vAwkobnEWh7rsSyhmos3WC93Gn9C4nnAd/PjMMtQfyDNZsOPd6XcAsnBE/mRHtHEyJMzJfZFLE9OvQa0i9kUmToJ0ZxknTgdl/XPV8xoh0K7wNHHsnBdvFH3sv52lU7UFteseLG/VanIvcwycVA7+BE1Ulyb20BvwUWZcMTKhaCcmY3ROpvonVMV4N7yBXTL7IDtHzQ4CCcqF66LjF3xUqgErKzolLyCG6Kb7irP/MVTCCwGRxfrPGpMMGvPLgJ881PHMNMIO09T5ig7AzZTX/5PLlwnJLDAPfuHynSGhV4tPqR3gJ4kg4c06c/F1AcjGytKm2Yb5jwMotF7vro4YDLWlnMIpmPg36NgAZsGA0W1spfLSue4xxat0Gdwd0lqDBOgIaMANykwwDKejt5YaNtJYIkrSgu0KjIg0pznY0SCd1qlC6R19g97UrWDoYJGlrvCE05J/5wkjpkre727p5PTRX5FGrSBIfJqhJE/IS876PaHFkx9pGTH3oaY3jJRvLX9Iy3Edoar7cFvJqyUlOhAEiOSAyYgVEGkzHdug+oRHIEOXAExMiTSKU9A6nmRC8mp8iYhwWdP2U/5EkFAdPrZw03YA3gSyNUtMZeh7dDCu8pF5x0VORCTgKp07ehy7NZqKTpIC4UJJ89lnboyAfy5OyXzXtuDRbtAFjZRSyGFTpFrXwkpjSLIQIG3N0Vj4BtzK3wdlkBJrO18MNsgseR4BysJilI0wI6ZahLhBFA0XBmV8d4LUzEcNVb0xbLjLTETYN8OEVqNxkt10W614dd1FlFFVTIgB7/BQQp1sWlNolpIu4ekxUTBV7NmxOFKEBmmN+nA7pvF78/RII5ZHA09OAiE/66MF6HQ+qVEJCHxwymukkNvzqHEh52dULPbVasfQMgTDyBZzx4007YiKdBuUauQOt27Gmy8ISclPmEUCIcuLbkb1mzQSqIa3iE0PJh7UMYQbkpe+hXjTJKdldyt2mVPwywoODGJtBV1lJTgMsuSQBlDMwhEKIfrvsxGQjHPCEfNfMAY2oxvyKcKPUbQySkKG6tj9AQyEW3Q5rpaDJ5Sns9ScLKeizPRbvWYAw4bXkrZdmB7CQopCH8NAmqbuciZChHN8lVGaDbCnmddnqO1PQ4ieMYfcSiBE5zzMz+JV/4eyzrzTEShvqSGzgWimkNxLvUj86iAwcZuIkqdB0VaIB7wncLRmzHkiUQpPBIXbDDLHBlq7vp9xwuC9AiNkIptAYlG7Biyuk8ILdynuUM1cHWJgeB+K3wBP/ineogxkvBNNQ4AkW0hvpBOQGFfeptF2YTR75MexYDUy7Q/9uocGsx41O4IZhViw/2FvAEuGO5g2kyXBUijAggWM08bRhXg5ijgMwDJy40QeY/cQpUDZiIzmvskQpO5G1zyGZA8WByjIQU4jRoFJt56behxtHUUE/om7Rj2psYXGmq3llVOCgGYKNMo4pzwntITtapDqjvQtqpjaJwjHmDzSVGLxMt12gEXAdLi/caHSM3FPRGRf7dB7YC+cD2ho6oL2zGDCkjlf/DFoQVl8GS/56wur3rdV6ggtzZW60MRB3g+U1W8o8cvqIpMkctiGVMzXUFI7FacFLrgtdz4mTEr4aRAaQ2AFQaNeG7GX0yOJgMRYFziXdJf24kg/gBQIZMG/YcPEllRTVNoDYR6oSJ8wQNLuihfw81UpiKPm714bZX1KYjcXJdfclCUOOpvTxr9AAJevTY4HK/G7F3mUc3GOAKqh60zM0v34v+ELyhJZqhkaMA8UMMOU90f8RKEJFj7EqepBVwsRiLbwMo1J2zrE2UYJnsgIAscDmjPjnzI8a719Wxp757wqmSJBjXowhc46QN4RwKIxqEE6E5218OeK7RfcpGjWG1jD7qND+/GTk6M56Ig4yMsU6LUW1EWE+fIYycVV1thldSlbP6ltdC01y3KUfkobkt2q01YYMmxpKRvh1Z48uNKzP/IoRIZ/F6buOymSnW8gICitpJjKWBscSb9JJKaWkvEkqinAJ2kowKoqkqZftRqfRQlLtKoqvTRDi2vg/RrPD/d3a09J8JhGZlEkOM6znTsoMCsuvTmywxTCDhw5dd0GJOHCMPbsj3QLkTE3MInsZsimDQ3HkvthT7U9VA4s6G07sID0FW4SHJmRGwCl+Mu4xf0ezqeXD2PtPDnwMPo86sbwDV+9PWcgFcARUVYm3hrFQrHcgMElFGbSM2A1zUYA3baWfheJp2AINmTJLuoyYD/OwA4a6V0ChBN97E8YtDBerUECv0u0TlxR5yhJCXvJxgyM73Bb6pyq0jTFJDZ4p1Am1SA6sh8nADd1hAcGBMfq4d/UfwnmBqe0Jun1n1LzrgKuZMAnxA3NtCN7Klf4BH+14B7ibBmgt0TGUafVzI4uKlpF7v8NmgNjg90D6QE3tbx8AjSAC+OA1YJvclyPKgT27QpIEgVYpbPYGBsnyCNrGz9XUsCHkW1QAHgL2STZk12QGqmvAB0NFteERkvBIH7INDsNW9KKaAYyDMdBEMzJiWaJHZALqDxQDWRntumSDPcplyFiI1oDpT8wbwe01AHhW6+vAUUBoGhY3CT2tgwehdPqU/4Q7ZLYvhRl/ogOvR9O2+wkkPKW5vCTjD2fHRYXONCoIl4Jh1bZY0ZE1O94mMGn/dFSWBWzQ/VYk+Gezi46RgiDv3EshoTmMSlioUK6MQEN8qeyK6FRninyX8ZPeUWjjbMJChn0n/yJvrq5bh5UcCAcBYSafTFg7p0jDgrXo2QWLb3WpSOET/Hh4oSadBTvyDo10IufLzxiMLAnbZ1vcUmj3w7BQuIXjEZXifwukVxrGa9j+DXfpi12m1RbzYLg9J2wFergEwOxFyD0/JstNK06ZN2XdZSGWxcJODpQHOq4iKqjqkJUmPu1VczL5xTGUfCgLEYyNBCCbMBFT/cUP6pE/mujnHsSDeWxMbhrNilS5MyYR0nJyzanWXBeVcEQrRIhQeJA6Xt4f2eQESNeLwmC10WJVHqwx8SSyrtAAjpGjidcj1E2FYN0LObUcFQhafUKTiGmHWRHGsFCB+HEXgrzJEB5bp0QiF8ZHh11nFX8AboTD0PS4O1LqF8XBks2MpjsQnwKHF6HgaKCVLJtcr0XjqFMRGfKv8tmmykhLRzu+vqQ02+KpJBjaLt9ye1Ab+BbEBhy4EVdIJDrL2naV0o4wU8YZ2Lq04FG1mWCKC+UwkXOoAjneU/xHplMQo2cXUlrVNqJYczgYlaOEczVCs/OCgkyvLmTmdaBJc1iBLuKwmr6qtRnhowngsDxhzKFAi02tf8bmET8BO27ovJKF1plJwm3b0JpMh38+xsrXXg7U74QUM8ZCIMOpXujHntKdaRtsgyEZl5MClMVMMMZkZLNxH9+b8fH6+b8Lev30A9TuEVj9CqAdmwAAHBPbfOBFEATAPZ2CS0OH1Pj/0Q7PFUcC8hDrxESWdfgFRm+7vvWbkEppHB4T/1ApWnlTIqQwjcPl0VgS1yHSmD0OdsCVST8CQVwuiew1Y+g3QGFjNMzwRB2DSsAk26cmA8lp2wIU4p93AUBiUHFGOxOajAqD7Gm6NezNDjYzwLOaSXRBYcWipTSONHjUDXCY4mMI8XoVCR/Rrs/JLKXgEx+qkmeDlFOD1/yTQNDClRuiUyKYCllfMiQiyFkmuTz2vLsBNyRW+xz+5FElFxWB28VjYIGZ0Yd+5wIjkcoMaggxswbT0pCmckRAErbRlIlcOGdBo4djTNO8FAgQ+lT6vPS60BwTRSUAM3ddkEAZiwtEyArrkiDRnS7LJ+2hwbzd2YDQagSgACpsovmjil5wfPuXq3GuH0CyE7FK3M4FgRaFoIkaodORrPx1+JpI9psyNYIFuJogZa0/1AhOWdlHQxdAgbwacsHqPZo8u/ngAH2GmaTdhYnBfSDbBfh8CHq6Bx5bttP2+RdM+MAaYaZ0Y/ADkbNCZuAyAVQa2OcXOeICmDn9Q/eFkDeFQg5MgHEDXq/tVjj+jtd26nhaaolWxs1ixSUgOBwrDhRIGOLyOVk2/Bc0UxvseQCO2pQ2i+Krfhu/WeBovNb5dJxQtJRUDv2mCwYVpNl2efQM9xQHnK0JwLYt/U0Wf+phiA4uw8G91slC832pmOTCAoZXohg1fewCZqLBhkOUBofBWpMPsqg7XEXgPfAlDo2U5WXjtFdS87PIqClCK5nW6adCeXPkUiTGx0emOIDQqw1yFYGHEVx20xKjJVYe0O8iLmnQr3FA9nSIQilUKtJ4ZAdcTm7+ExseJauyqo30hs+1qSW211A1SFAOUgDlCGq7eTIcMAeyZkV1SQJ4j/e1Smbq4HcjqgFbLAGLyKxlMDMgZavK5NAYH19Olz3la/QCTiVelFnU6O/GCvykqS/wZJDhKN9gBtSOp/1SP5VRgJcoVj+kmf2wBgv4gjrgARBWiURYx8xENV3bEVUAAWWD3dYDKAIWk5opaCFCMR5ZjJExiCAw7gYiSZ2rkyTce4eNMY3lfGn+8p6+vBckGlKEXnA6Eota69OxDO9oOsJoy28BXOR0UoXNRaJD5ceKdlWMJlOFzDdZNpc05tkMGQtqeNF2lttZqNco1VtwXgRstLSQ6tSPChgqtGV5h2DcDReIQadaNRR6AsAYKL5gSFsCJMgfsaZ7DpKh8mg8Wz8V7H+gDnLuMxaWEIUPevIbClgap4dqmVWSrPgVYCzAoZHIa5z2Ocx1D/GvDOEqMOKLrMefWIbSWHZ6jbgA8qVBhYNHpx0P+jAgN5TB3haSifDcApp6yymEi6Ij/GsEpDYUgcHATJUYDUAmC1SCkJ4cuZXSAP2DEpQsGUjQmKJfJOvlC2x/pChkOyLW7KEoMYc5FDC4v2FGqSoRWiLsbPCiyg1U5yiHZVm1XLkHMMZL11/yxyw0UnGig3MFdZklN5FI/qiT65T+jOXOdO7XbgWurOAZR6Cv9uu1cm5LjkXX4xi6mWn5r5NjBS0gTliHhMZI2WNqSiSphEtiCAwnafS11JhseDGHYQ5+bqWiAYiAv6Jsf79/VUs4cIl+n6+WOjcgB/2l5TreoAV2717JzZbQIR0W1cl/dEqCy5kJ3ZSIHuU0vBoHooEpiHeQWVkkkOqRX27eD1FWw4BfO9CJDdKoSogQi3hAAwsPRFrN5RbX7bqLdBJ9JYMohWrgJKHSjVl1sy2xAG0E3sNyO0oCbSGOxCNBRRXTXenYKuwAoDLfnDcQaCwehUOIDiHAu5m5hMpKeKM4sIo3vxACakIxKoH2YWF2QM84e6F5C5hJU4g8uxuFOlAYnqtwxmHyNEawLW/PhoawJDrGAP0JYWHgAVUByo/bGdiv2T2EMg8gsS14/rAdzlOYazFE7w4OzxeKiWdm3nSOnQRRKXSlVo8HEAbBfyJMKqoq+SCcTSx5NDtbFwNlh8VhjGGDu7JG5/TAGAvniQSSUog0pNzTim8Owc6QTuSKSTXlQqwV3eiEnklS3LeSXYPXGK2VgeZBqNcHG6tZHvA3vTINhV0ELuQdp3t1y9+ogD8Kk/W7QoRN1UWPqM4+xdygkFDPLoTaumKReKiLWoPHOfY54m3qPx4c+4pgY3MRKKbljG8w4wvz8pxk3AqKsy4GMAkAtmRjRMsCxbb4Q2Ds0Ia9ci8cMT6DmsJG00XaHCIS+o3F8YVVeikw13w+OEDaCYYhC0ZE54kA4jpjruBr5STWeqQG6M74HHL6TZ3lXrd99ZX++7LhNatQaZosuxEf5yRA15S9gPeHskBIq3Gcw81AGb9/O53DYi/5CsQ51EmEh8Rkg4vOciClpy4d04eYsfr6fyQkBmtD+P8sNh6e+XYHJXT/lkXxT4KXU5F2sGxYyzfniMMQkb9OjDN2C8tRRgTyL7GwozH14PrEUZc6oz05Emne3Ts5EG7WolDmU8OB1LDG3VrpQxp+pT0KYV5dGtknU64JhabdqcVQbGZiAxQAnvN1u70y1AnmvOSPgLI6uB4AuDGhmAu3ATkJSw7OtS/2ToPjqkaq62/7WFG8advGlRRqxB9diP07JrXowKR9tpRa+jGJ91zxNTT1h8I2PcSfoUPtd7NejVoH03EUcqSBuFZPkMZhegHyo2ZAITovmm3zAIdGFWxoNNORiMRShgwdYwFzkPw5PA4a5MIIQpmq+nsp3YMuXt/GkXxLx/P6+ZJS0lFyz4MunC3eWSGE8xlCQrKvhKUPXr0hjpAN9ZK4PfEDrPMfMbGNWcHDzjA7ngMxTPnT7GMHar+gMQQ3NwHCv4zH4BIMYvzsdiERi6gebRmerTsVwZJTRsL8dkZgxgRxmpbgRcud+YlCIRpPwHShlUSwuipZnx9QCsEWziVazdDeKSYU5CF7UVPAhLer3CgJOQXl/zh575R5rsrmRnKAzq4POFdgbYBuEviM4+LVC15ssLNFghbTtHWerS1hDt5s4qkLUha/qpZXhWh1C6lTQAqCNQnaDjS7UGFBC6wTu8yFnKJnExCnAs3Ok9yj5KpfZESQ4lTy5pTGTnkAUpxI+yjEldJfSo4y0QhG4i4IwkRFGcjWY8+EzgYYJUK7BXQksLxAww/YYWBMhJILB9e8ePEJ4OP7z+4/wOQDl64iOYDp26DaONPxpKtBxq/aTzRGarm3VkPYTLJKx6Z/Mw2YbBGseJhPMwhhNswrIkyvV2BYzrvZbxLpKwcWJhYmFtVZ+lPEq91FzVp1HlQY1bZVLqeNR9SAUn6n0E28k/UuGkNpP1DBI5ch/EehZfjUQ9aE41NhETExoPT2gGQz0IhWJbEOvTQ4wgcXCHHFBhewYUiFHuhRSAUVmEHeCRQHQkXGFwkAgyzREJCVN7TRnTon36Zw3tPhx4EALwNdwDv+J41YSP4B2CQqz0EFgARZ4ESgBHQgROwAVn9GTI+HYexTUevLUeta4/DqKrbMVS+Yqb8hUwYCrlgKtmAq1YCrFgKrd4qpXiqZcKn1oqdWipjYKpWwVPVYqW6xUpVipKqFR3QKjagVEtAqHpxUMTitsnFaJOKx2cVhswq35RVpyiq9lFVNIKnOQVMkgqtYxVNxiqQjFS7GKlSIVIsQqPIhUWwioigFQ++KkN8VHr49HDw9Ebo9EDo9DTo9Crg9BDg9/Wx7gWx7YWwlobYrOGxWPNisAaAHEyALpkAVDIAeWAArsABVXACYuAD5cAF6wAKFQAQqgAbVAAsoAAlQAUaYAfkwAvogBWQACOgAD9AAHSAAKT4GUdMiOvFngBTwCn2AZ7Dv6B6k/90B8+yRnkV144AIBoAMTQATGgAjNAA4YABgwABZgB/mQCwyAVlwCguASlwCEuAQFwB4uAMlwBYuAJlQAUVAAhUD2KgdpUDaJgaRMDFJgX5MC1JgWJEAokQCWRAHxEAWkQBMRADpEAMkQAYROAEecC484DRpwBDTnwNOdw05tjTmiNOYwtswhYFwLA7BYG4LA2BYGOLAwRYFuLAsxYFQJAohIEyJAMwkAwiQC0JAJgkAeiQBkJAFokAPCQA0JABwcD4Dgc4cDdDgaYcDIDgYgUC6CgWgUClCgUYUAVBQBOFAEYMALgwAgDA9QYAdIn8AZzeBB2L5EcWrenUT1KXienEsuJJ7x5U8XlTjc1NVzUyXFTGb1LlpUtWlTDIjqwE4LsagowoCi2gJLKAkpoBgJQNpAIhNqaEoneI6kiiqQ6Go/n6j0cS+a2gEU8gIHJ+BwfgZX4GL+Bd/gW34FZ+BS/gUH4FN6BTegTvoEv6BJegRnYEF2A79gOvYDl2BdEjCkqkGtwXp0LNToIskOTXzh/F062yJ7AAAAEDAWAAABWhJ+KPEIJgBFxMVP7w2QJBGHASQnOBKXKFIdUK4igKA9IEaYJg) 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<h1 class="title toc-ignore">SSMM-data: Data Sources for the SSMM/SR1 Project</h1>
<h4 class="author">jri, with jrm</h4>
<h4 class="date">08 November, 2022</h4>
</div>
<p><a name="TOC"></a></p>
<div id="overview" class="section level2">
<h2>Overview</h2>
<p>US sources have their own file</p>
<p>
<p><a href="#EURsect">Europe</a> <a href="#AUSNZsect">Australasia</a> <a href="#SouAfr">South Africa</a> <a href="#AFRICA">Africa</a> <a href="#ITALY">Italy</a> <a href="#ENG-WALES">England</a> <a href="#SCOT">Scotland</a> <a href="#IRE">Ireland</a> <a href="#CANsect">Canada</a>, <br> <a href="#IndiaSources">India Census</a>; <a href="#LifeTable">Life Tables</a></p>
<p><em>stuff to organize/move</em> (Ji tidied 22.0504)</p>
<div id="general-sources" class="section level3">
<h3>General Sources</h3>
<p>Mitchell/Palgrave 2013 IMR pdf 219 Africa; 223 Asia; 226 Oceana; 2249 South America 3575 Europe</p>
<p><a href="https://childmortality.org/data">IGME infant mortality graphs</a> historical …</p>
<p>20C punchlines, via World Bank:<br />
1985 From 10- (Euro, Japan) to 120-150 (large nations; also 174 Mozambique) 1960 From 20- (Euro, Japan) to 150-200 (large nations; also Afghan 222, )</p>
<p>– 2010 range is 2 to 84 (Nigeria)</p>
<p><a href="https://www.mortality.org/cgi-bin/hmd/DataAvailability.php">HMD country codes</a></p>
<p>UN <a href="https://population.un.org/wpp/Download/Standard/Population/">World Population Prospects</a> for pops by sex and age-groups for countries and regeions. E.g. Sou Afr total pop, u2 and u5, by sex (coloured/white not separate). For example, pops by age & sex from the UN World Population Prospects … <a href="https://population.un.org/wpp/Download/Standard/Interpolated/">download</a> .</p>
<p>UN <a href="https://population.un.org/wpp/Download/Standard/Interpolated/">pop by age/sex</a><br />
UN <a href="https://www.un.org/en/development/desa/population/publications/mortality/model-life-tables.asp">life tables</a></p>
<p>US Census offers biblio of recent <a href="https://www.census.gov/prod/2011pubs/12statab/app1c.pdf">foreign Statistical Abstracts</a></p>
</div>
<div id="crvs" class="section level3">
<h3>CRVS</h3>
<p>civil registration and vital statistics</p>
<p>UN Demographic Yearbook <a href="https://unstats.un.org/unsd/demographic-social/products/dyb/dyb_2019/">2019</a> classifies vital stats data as complete C or incomplete I Introduction discusses classification. But note that IMR estimate at IGME don’t seem to need CRVS to be any good</p>
<p>Suthar et al <a href="https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1002929">2019 PloS Med</a> “Evaluation of approaches to strengthen civil registration and vital statistics systems: A systematic review and synthesis of policies in 25 countries” most low- and middle-income countries still have underdeveloped systems</p>
<p>The World Bank. <a href="http://documents.worldbank.org/curated/en/979321495190619598/pdf/115150-WP-CRVS-for-Monitoring-the-SDGs-web-version-May-18-2017-PUBLIC.pdf">Civil Registration and Vital Statistics for Monitoring the Sustainable Development Goals 2017.</a></p>
<p><a href="https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(15)60171-4/fulltext">Mikkelsen, et al (2015 The Lancet)</a> “A global assessment of civil registration and vital statistics systems: monitoring data quality and progress”</p>
<p><a name="EURsect"></a></p>
</div>
<div id="europe" class="section level3">
<h3>Europe</h3>
<p>Summary view of societies, time-periods for which we have good IMR/SR data.<br />
Nordic countries: Denmark (1840-1970), Finland (1885-1970), Iceland (1845-1970), Norway (1890-1970) and Sweden (1751-1970)</p>
<p>wondering if we can find mid-20thC data via <a href="https://academic.oup.com/eurpub/article/27/suppl_2/62/3739761">Health status in Europe: comparison of 24 urban areas to the corresponding 10 countries (EURO-URHIS 2)</a></p>
<p>Eurostate starts IMR with 1998</p>
<p>Corsini & Viazzo (1997), <a href="https://books.google.ca/books?id=0l3wMZBq3hgC&dq=Infant%20and%20Child%20Mortality%20in%20the%20Past&source=gbs_similarbooks">The Decline of Infant and Child Mortality</a> TO LOOK OVER?</p>
<p>Nothing new for us in JSSL 1885 “Statistical Results of the last Census of France, Prussia, Austria, Italy, Switzerland, and Belgium,” Journal of the Statistical Society of London, Vol. 48, No. 2 (Jun., 1885), pp. 288-297. No age data on Italy<br />
Reporting on Toussaint Loua’s paper published by Journal of the Paris Statistical Society … LT5 On France: the falling off in the number of the population comprised in the age period 10-15, chiefly due in his opinion to the excessive infantile mortality during the year 1871, and also by the abnormally large number of females returned as being between the ages of 20 and 25, which he attributes to the fact that many women, desirous of being thought to be younger than they really are, return them-selves as under 25</p>
<p>many 19-c sources listed in Galloway, Patrick R., “The golden age of published demographic data in Europe 1850-1915: sources and research possibilities”, 2008. <a href="http://www.patrickrgalloway.com/galloway_2008_golden_age.pdf">Download</a> See his Table 1. Principal Official Publications of Census and Registration Data for Major European Countries to around 1905.</p>
<p>Portugal Mitchell reports IMR 1970 58 1960 78 1950 94 1940 1930 1920</p>
<div id="belgium-bel" class="section level4">
<h4>Belgium BEL</h4>
<p>Dempap under-5 populations by sex (decennially 1846-1866 and 1880-1930; and 1947, 1961, 1970)</p>
<p><a href="https://babel.hathitrust.org/cgi/pt?id=coo.31924093364366&view=1up&seq=82&skin=2021">1893</a> has 1846, 1856, 1866, 1880, 1890. p64 (hathi pg 82) <a href="https://hdl.handle.net/2027/mdp.39015033680532">1908</a> has ages 1856 1866 1880 1890 1900 pp64-65 (1907-08 PDF 684-85) catalog record at <a href="https://catalog.hathitrust.org/Record/000502577">Hathi</a></p>
<p>1866 22 1846 1856 1880-1910 21 1920 22 1930 20 1947 10 1961 11 1970 12</p>
<p>1866 and 1920: Ministère de L’Interieur et de L’Instruction Publique. Repartition des habitants sous le rapport de l’âge d’après les recensements généraux. In: Annuaire Statistique de La Belgique. Bruxelles: Imprimerie & Lithographie Ad. Mertens.</p>
<p>Not 1921 or 1922 <a href="https://catalog.hathitrust.org/Record/000502577">(Hathi full view)</a> <br><a href="https://hdl.handle.net/2027/uc1.c070878640">1923-24, 24-25</a> 1923-24 yes 1910 & 1920 ages NOT in Aperçus statistiques sur la Belgique établis d’après les tableaux de l’"Annuaire statistiquat Hathi</p>
<p>Can’t find 1940 Ann Stat for 1930 – but IHS corroborates (2013:3442)</p>
</div>
</div>
<div id="france-added-2022.0303" class="section level3">
<h3>France (added 2022.0303)</h3>
<p>Probably can use q0 from <a href="https://frdata.org/en/french-human-mortality-database/">French Human Mortality Database</a> and connected DemRes paper by <a href="https://www.demographic-research.org/volumes/vol42/26/42-26.pdf">Florian Bonnet</a> p744 2.3 Censuses I have collected populations by birth year, home department, and sex for each census of the period 1901–1962 from hard-copy publications of SGF and INSEE. For the period 1968–2014, these statistics have been found in online sources.</p>
<p>IMR 3yr smoothed <a href="https://www.insee.fr/fr/statistiques/serie/001745304">Paris</a></p>
<p>dataset_DECES-MORTALITE_31032022.xlsx has IMR 2008 onward by department</p>
<p>Paris births : <a href="https://www.insee.fr/en/statistiques/serie/000868091">1975 onward</a></p>
<p>Barbieri (1998 Pop) La mortalité infantile en France 1902-1996</p>
<p>Statistique annuelle du mouvement de la population 2 at internet archive <a href="https://archive.org/details/statistiqueannu01gngoog/page/n8/mode/2up">1888</a> <a href="https://archive.org/details/statistiqueannu00gngoog/page/n10/mode/2up">1893</a></p>
<p>age/sex <a href="https://www.insee.fr/fr/statistiques/1893204">1968 to 2018</a></p>
<p>1962 via <a href="https://www.persee.fr/doc/estat_0423-5681_1965_num_20_3_10257">Persee article</a> Population de la France Villes et agglomérations urbaines; 1 volume, couverture beige; 1964;</p>
<p>Paris IMR 1960s ? Checked, without luck,Paris leads in Neuberg L, Rodwin V. Neighborhood matters—infant mortality rates in four cities: London, Manhattan, Paris, and Tokyo. Indicators. 2002–3;2:15–38.</p>
<p>Urban Population Changes in France 1962-75 (Veränderungen der städtischen Bevölkerung in Frankreich 1962-75) Author(s): Philip N. Jones Source: Erdkunde, Bd. 32, H. 3 (Sep., 1978), pp. 198-212 Looked at this for leads on 1960s census volumes/data</p>
<p>looking for 1922-1967 … Recensement général de la population de 1962 – 1 volume in Hathi, search only</p>
<p><a href="https://www.insee.fr/fr/statistiques/2653233?sommaire=2591397#consulter">census data 1851-1921</a></p>
<p>HMD says Vallin, J. and F. Meslé. (2001). Tables de mortalité françaises pour les XIXe et XXe siècles et projections pour le XXIe siècle. Paris: Instit national d’études démographiques (cited in the HMD). <a href="https://www.ined.fr/Xtradocs/cdrom_vallin_mesle/contenu.htm">CD-ROM contents here</a></p>
<p><a href="https://archive.org/details/lapopulationfran01leva/page/n37/mode/2up?view=theater">Levasseur, E., La Population franpaise (Paris 1889),</a></p>
<p>paris by age/sex should be II 392</p>
<p><a href="https://catalog.hathitrust.org/Record/100206351">1881 census Paris</a> Should check re: anomalous CSR values Résultats statistiques du dènombrement de 1881 pour la ville de Paris et renseignements relatifs aux recensements antérieurs.</p>
<div id="netherlands-nld" class="section level4">
<h4>Netherlands NLD</h4>
<p><a href="http://www.volkstellingen.nl/en/">Dutch censuses 1795-1971</a> found at <a href="http://primary-sources.eui.eu/website/volkstellingen-1795-1971">EHPS</a> euro history primary sources</p>
<p>1869 vt_1869_02_INL.pdf pdf4 II</p>
<p>via HMD maybe we ought to look at <a href="https://nidi.nl/en/">nidi</a> for their database?</p>
<p>Rothenbacjer 2002 book has cites to check pdf501 e (Garssen and Harmsen, 1999). Poppel and Mandemakers (1997) Francine van de Walle (1986</p>
<p>Tabeau, E., van Poppel, F., Willekens, F. (1994). Mortality in the Netherlands: the Data base. NIDI, The Hague, Netherlands. [as cited in HMD]</p>
<p><a name="ITALY"></a></p>
</div>
<div id="italy" class="section level4">
<h4>Italy</h4>
<p>Breschi et al fn 1: 1 The bibliography on infant and child mortality in Italy is very wide. For an overview, see: Del Panta, 1997; Pozzi, 2000; 2002; Pozzi and Robles González, 1997; Manfredini and Pozzi, 2004.</p>
<div id="italy-regional-data" class="section level5">
<h5>Italy regional data</h5>
<p>Various scholars trash the stillborn data (before maybe 1930s?) but they seem to see the IMR data as valid. So we are left with anomalous results … like 1936 Campania (in southern ITA) with f/m -4% with IMR 116 (and male mortality just 9.6% greater (Ln) ). And worse, Sicilian SR5 that is -8% female …</p>
<p>Regions mapped and labelled in Daniele & Malanima (2014 EcHiRes).</p>
<p>1881 census: have not found regional breakdowns (see below)</p>
<p>1901 census has regional age/sex (by birth-year), 621-;<br />
1911 census; vol II has age/sex by region Presente 621 Piemonte, 622 Liguria, 623 Lombardia, 624 Veneto, 625 Emilia-Duc 632 Campania pdf638, 636 Sicilia,<br />
<a href="https://ebiblio.istat.it/SebinaOpac/resource/risultati-sommari-del-censimento-della-popolazione-eseguito-il-1-dicembre-1921/IST0010376?locale=eng&tabDoc=tabcontiene">1921 census volumes</a></p>
<p>This <a href="https://ebiblio.istat.it/digibib/Censimenti%20popolazione/censpop1936/IST0005813vol3RegnoParte2_Tavole/IST0005813_vol3_Regno_Parte_2_Tavole+OCR_ottimizzato.pdf">1936 census volume</a> has age/sex by region – pdf134 126 Piemonte, 127 Liguria, 128 Lombardia,</p>
<p>[129 Venezia Tridentina, 130 Veneto, 131 Venezia Giulia e Zara (80k) Veneto IMR 80; Greater area 86.6] Veneto SR5 104.0</p>
<p>132 Emilia (Bologna), 135 Umbria, 136 Lazio, next are SOUTH (I deem) 137 Abruzz Mol, 138 Campania</p>
<p>Wikip has The Triveneto or Tre Venezie … a historical region of Italy … what would become the three Italian regions of Venezia Euganea, Venezia Giulia and Venezia Tridentin 1936 has VenTrid VenezGuilia</p>
<p>1936 census 129 Venezia Tridentina 62k – becomes Trentino-Alto Adige; [130 Veneto 460k is long-term region], 131 Venezia Giulia e Zara 80k IMR combine note that TAA is comprised of (SouTyrol aka BlozanoBozen) and (Prov di Trento) and the sum (TAA) and the 2 parts are reported 248- Trentino-Alto Adige/Südtirol imr 100, 252-53 Bolzano Bozen (So Tyrol; 1927-70) imr114 , 254- Prov di Trento (1927-70 ), 256 Veneto imr80, 260 Venezia Giulia (1924-72) imr 102;</p>
<p>1936 census corrections – look for those in Table XII: pdf 3 p98 col 2 line 72 instead of 97133 read 47133 pdf 4 none;</p>
<p>1951 census 10 Piemonte, 12 Lombardia, 13 Trentino-Alto Adige, 14 Veneto, 15 Friuli-Venezia Giulia, 17 Liguria, 18 Emilia-Romagna, 19 Toscana, 20 Umbria (70K), 21 Marche<br />
1951 tiny places 11 Valle d’Aosta (tiny); 16 Trieste, <16K, capital city of Friuli-V G; 1961 census 121 Piemonte 122 Valle d’Aosta, Liguria (99k), Lombardia, Trentino-Alto Adige (69k), 126 Veneto, 127 Friuli (74k), 128 Emil-Rom (238k), 129 March (97k), 130 Toscana (205k), 131 Umbria (53k), 132 Lazio (336k), 133 Campania (510k), 134 Avruzzi e Molise, 135 Puglia, 136 Basilicata (69k), 137 Calabria, Sicilia, Sardegna 1971 census <a href="https://ebiblio.istat.it/digibib/Censimenti%20popolazione/censpop1971/Volumi/RER0044590CP1971_VOL_V_Sesso_eta_stato_civile+OCRottimizz.pdf">volV</a> pdf246p240 Trentino-Alto Adige, p234 Piemonte, p236 Valle d’Aosta, 238 Lombardia, 240 Tentino-Alto Ad, 242 Veneto, 264 Liguria, 248 Emil-Rom, 250 Toscana, 252 Umbria, 254 Marche, 256 Lazio SOUTH: 258 Abruzzi, 260 Molise, 262 Campania p264 Puglia pdf270,</p>
<p>1971 The sums of “Regione” u5 populations end up much below the “Stato” total value. 428,136 boys short – about 19% – ? Rome? other cities?<br />
p692- Tav 4 Pop resident & present of the capital municipalities by sex and age<br />
p786- Tav 5 Pop residente per sesso, anno di nascita e stato civile A) Stato 796- B) Regione</p>
<p>1971 add Abruzzi and Molise to pair with Abruzzi IMR</p>
<p>Regional IMR from IStat 1975 <a href="https://ebiblio.istat.it/SebinaOpac/resource/tendenze-evolutive-della-mortalita-infantile-in-italia/IST0002260?locale=eng">Tendenze evolutive della mortalità infantile</a><br />
238-43 Piemonte, 242-45 Valle d’Aosta (1943-70), 244-49 Lombardia, 248- Trentino-Alto Adige/Südtirol, 252-53 Bolzano Bozen (So Tyrol; 1927-70), 254- Prov di Trento (1927-70), 256 Veneto, 260 Venezi-Guilia Zara 262 Friuli-Venezia Giulia (1924-72), 262 Liguria, 268 Emilia-Romagno, 272 Toscana, 278 Umbria, 282 Marche, 288 Lazio,<br />
SOUTH p292 Abruzzi e Molise p298 Campania p302 Puglia p308 Basilicata p312 Calabria p318 Sicilia p322 Sardegna p328 ITALIA</p>
<p>IMR by region 1990-2013 online at Istat, ranges from 3.9 to 10.4 – so those data are too late for us.</p>
<p>Regional stillbirths data from Istat (1965), <a href="https://ebiblio.istat.it/SebinaOpac/resource/sviluppo-della-popolazione-italiana-dal-1861-al-1961/IST0002072?locale=eng">Sviluppo della popolazione italiana dal 1861 al 1961</a>, Annali di Statistica, s. 8, vol. 17. E.g. p722 Umbria p726 Lazio p730 Campania p734 Abruzzi e Molise p738 Puglia p742 Basilicata p746 Calabria p750 Sicilia p754 Sardegna</p>
<p>Deadends:<br />
1881 IST400060cp1881sullaclassificazionexeta</p>
<p>It is tempting to use the comment about “extra caution” and data problems for Italian mortality as a basis for dropping the Italian SR:IMR set. But the comment misleads about IMR data, which does have single year deaths (and original sources show u1month and u1year deaths, by sex).<br />
Jim kills a day poking around ITA 19th C data (and sources) to find that stillborns are a little lower than expected for the IMR (e.g. 30 per K livebirths while Prussia has more like 40 – and they both have IMR around 200). But that does not seem to be a basis for challenging the Italian IMR. If we shifted infant deaths over to stillbirths to make Italy look like Prussia (raise ITA stillborns by 1/3) then 1870s avg IMR drops from 214 to 207 (1871 226 drops to 220) – negligible.</p>
<p><strong>Regional differences in registration quality</strong> Pizzo & Barona quote Woods “Italy offers an excellent example of what we would expect to see in a country with improving registration coverage. National rates of late-fetal mortality only reached credible levels during the early decades of the twentieth century because regional differences in registration quality had narrowed by them. Rates in the south rose to match those in the north and then stayed at a higher level longer” (Woods, 2009, 82)."</p>
<p>LOOK AT BRESCHI REGIONAL IMRS and TRY TO LINK TO SR REGIONALLY ….</p>
<p>HMD “ABOUT MORTALITY DATA FOR ITALY” (Last updated 2021 May 12) Prior to 1906, deaths counts are available only by five-year age groups (i.e., 0-4, 5-9, …, 65-74, 75+), with the exception of 1883-84, when they are available for single years of age. The data for 1883-84 demonstrate clear patterns of age heaping. In 1893 and 1894, data are available only for the total number of deaths by sex (not by age group); the age distribution has been estimated (see Appendix II for details)<br />
p5 DATA QUALITY ISSUES<br />
The data prior to 1906 should be used with extra caution due to problems of quality. For most of these early years, the original death counts were available only by five-year age groups with an open age interval at age 75+ years. Thus, life tables by single years of age are based on estimates. Users are advised to use the life tables by five-year (or 10-year) age groups, which are based mostly on the original data rather than estimates.</p>
<p>Sviluppo pdf 694-95 gives births and u1 deaths 1862-1960?</p>
<p><a href="https://books.google.ca/books?id=HxtRAQAAMAAJ&printsec=frontcover&dq=Statistica+delle+cause+di+morte&hl=en&newbks=1&newbks_redir=0&sa=X&redir_esc=y#v=onepage&q=Statistica%20delle%20cause%20di%20morte&f=false">1881 & 1882 Statistica delle cause di mort</a><br />
pdf56-65 p2 Tavola I 1881 total pop 7,000,883 IHS shows pop 28.46 million<br />
pdf162 Tav2 total deaths across months 197,559 NOT all of Italy</p>
<p>1881 age0 deaths (within first year of life)<br />
Istat 112,182 95,605 218,244<br />
HMD__ 112,218 95,620 207,838</p>
<p>Movimente della popolazione seconda gli atti dello stato civile xx Nati</p>
<p>1874 pdf009 1875 pdf067 119pLI Nascite 120 births by sex: Italy France EngW Germ Prussia Bavaria 146 stillborn 1876 pdf237 258pxx Nascite pdf307 Appendice</p>
<p>1881 pdf46 births by sex, 1863-1881; 1892 pdf31 births by sex, 1872-1892; nati-morti pdf45 same years ; 1890,91,92 deaths sex/age 1903 pdf34 births by sex, 1882-1903; nati-morti only 1901-1903</p>
<p>Sviluppo 1965 pdf694 p688 has births 1862-</p>
<p>For Jim, bottom line question is whether the IMRs are overstated. Do stillbirth data suggest anything? The fact that the male rate is only 10% above the female is interesting – that is consistent with the sex-ratios being not-so-female-biased. This is all about Italy’s SR data being inconsistent with the IMR values; e.g. 1881 Ln(u5f/u5m) = -3.7% and IMR > 200. My simulator predicts -3% Can’t rule out mortal misogyny, but sex ratios by age do not show a shift toward boys (as expected in case of substantial excess female mortality).</p>
<p>Italian <a href="https://ebiblio.istat.it/SebinaOpac/resource/annali-di-statistica/IST0030194?locale=eng&tabDoc=taboggd">digital stats pubs</a> incl one referenced in tab 2.3 which has different birth counts</p>
</div>
<div id="italy-as-a-whole" class="section level5">
<h5>Italy as a whole</h5>
<p>U5 populations are on the Istat web-site with the same values as Mitchell’s IHS. HMD’s data has years are advanced by 1; seems HMD refers to start of year and Istat end of year? IMR values are on the Istat web-site; IHS (2013) has less precise version of the same.</p>
<p>At least for 1901, the under-5 age group embraces some 5-year-olds, insomuch as the census reported Feb 9, 1901 populations by year of birth; probably less than 1/12 of the 1896-birthyear were age 5 at the census-date. But one wonders how precise the census-takers and respondents were when doing the census.</p>
<p>SRB is somewhat male-tilted, with Ln(m/f) values usually at or above 6.0% until the second half of the 1880s; values usually in the 5.5-5.9% range into the early 20th century; values range from 4.9% to 5.4% in the years from 1908 to 1916. Interesting to see births fall more than 1/3 from 1915 to 1917 and the SRB tilt 0.9% toward boys (presumably because the decline of births was concentrated among the poorer and less-healthy women).</p>
<p>The Istat data are in xls tables in the dempap/wrangling/raw folder.</p>
<p>For SR5 <a href="http://seriestoriche.istat.it/index.php?id=1&no_cache=1&L=1">Istat</a> and IHS (Mitchell) have the same numbers for 1861, 1871, 1881, 1901 (no 1891 census). HMD numbers seem the same, but years are advanced by 1.</p>
<p>1881 census <a href="https://ebiblio.istat.it/digibib/Censimenti%20popolazione/censpop1881/IST400060cp1881sullaclassificazionexeta+OCR.pdf">"Sulla classificazione per età della popolazione del Regno</a> offers various estimates of pop by sex and age for 1881 and 1871, along with discussion. Probably using birth/death data to “equalize” populations …</p>
<p>Deaths-data are in the <a href="http://seriestoriche.istat.it/index.php?id=1&no_cache=1&L=1&tx_usercento_centofe%5Bcategoria%5D=34&tx_usercento_centofe%5Baction%5D=show&tx_usercento_centofe%5Bcontroller%5D=Categoria&cHash=b73e856aedfc85d2f1e27730c3822c86">Health tab</a></p>
<p>Istat births are in Table 2.5 in the <a href="http://seriestoriche.istat.it/index.php?id=1&no_cache=1&L=1&tx_usercento_centofe%5Bcategoria%5D=32&tx_usercento_centofe%5Baction%5D=show&tx_usercento_centofe%5Bcontroller%5D=Categoria&cHash=04e5a2e51acfa92f173aac082f0d8872">Population tab</a>, under the menu-heading <a href="http://seriestoriche.istat.it/index.php?id=1&no_cache=1&L=1&tx_usercento_centofe%5Bcategoria%5D=32&tx_usercento_centofe%5Baction%5D=show&tx_usercento_centofe%5Bcontroller%5D=Categoria&cHash=04e5a2e51acfa92f173aac082f0d8872#">Resident population and demographic dynamics</a>, “Births by vitality and legitimacy status - Present population at reference year borders - Years 1863-2014”. These these births data are the same as those in Annuario statistica and HMD.<br />
Different birth data are in Istat Table 2.3 (demographic balance: note a<br />
(a) The demographic balance of the Italian population for individual years has been estimated on the basis of Censuses and demographic statistics availables. For more information: “Sviluppo della popolazione italiana dal 1861 al 1961” Annali si Statistica Serie VIII, Vol. 17, Istat 1965.)</p>
<p>Mitchell IHS (pdf140) shows IMR 200 or more in 1863-88 except for 5 years (192 198 186 194 193) in 1881-1887 ; And his Table A2 (pdf47) has Italy u5 populations which give Ln(SR5) 1861 -2.0% 1871 -2.9% 1881 -3.66% (1881 m/f of 103.7 – ‘healthy-looking’?) and 1901 104.2 1911 103.8 1921 104.4 TREATMENT OF STILLBORN IN ITALY’s STATS?<br />
Mitchell’s sources: Annali di Statistica (1871-); Annuario Statistico Italiano (1878-); Cento Anno di Svi/uppo Economico e Sociale del/’ Italia ; Somma rio di Statistiche Storiche italiane, 1861-1955</p>
<p>HMD has single-year by sex for 1872 forward – source? For the Human Mortality Database, we use data based on the presente population for years prior to 1981. Population estimates are calculated based on census counts of the presente population in order to be consistent with the vital statistics (i.e., deaths, births).<br />
HMD says, misleadingly, that death counts come 0-4, 5-9, … but in fact the sources have 0, 1-4, 5-9 etc; and the 0 group is sometimes broken into 1month and 1-12months</p>
<pre><code>Prior to 1906, deaths counts are available only by five-year age groups (i.e., 0-4, 5-9, …, 65-74, 75+), with the exception of 1883-84, when they are available for single years of age. For 1912-20 and 1937-51, the pre- and post-war census counts and deaths data for the total population (including the military) are used to derive annual (January 1st) population estimates. </code></pre>
<p>For 1912-21, 1937-51 (WWI, WWII), HMD “Italy, data sources” refers to Jdanov et al. for births & deaths, but that paper covers war-time mortality of young males.</p>
<p>UN volume The Aging of Populations and Its Economic and Social Implications – used by Mitchell IHS for Greece population by age/sex in 1861 (or so)</p>
</div>
</div>
<div id="italys-historical-data-sources" class="section level4">
<h4>Italy’s historical data sources</h4>
<p>Breschi et al. Sardinia paper intro refers to Istat sources for IMR by region</p>
<pre><code>Indeed, since 1862, official statistics (Istat, 1958 ; 1965 ; 1975) allow to calculate annual infant mortality rates (and its component : neonatal and post-neonatal), as well as stillbirth rates for the whole country and for each region.</code></pre>
<p>Istat (1958), <a href="https://ebiblio.istat.it/SebinaOpac/resource/sommario-di-statistiche-storiche-italiane-18611955/IST0034893?locale=eng">Sommario di statistiche storiche italiane 1861-1955</a>, Roma. what for? (cited in Sardinia article). It has u5 for census years … not by region Istat (1965), <a href="https://ebiblio.istat.it/SebinaOpac/resource/sviluppo-della-popolazione-italiana-dal-1861-al-1961/IST0002072?locale=eng">Sviluppo della popolazione italiana dal 1861 al 1961</a>, Annali di Statistica, s. 8, vol. 17.<br />
Istat (1975), Tendenze evolutive della mortalità infantile in Italia, Annali di Statistica, s. 8, vol. 29.</p>
<p>maybe also useful is Istat (1961), Dal censimento dell’unità ai censimenti del centenario. Un secolo di vita della statistica italiana 1861-1961, Roma (written by Roberto Fracassi).</p>
<p>IStat 1975 has regional IMR … "To this purpose, a great quantity of data had to be collected and computed: in appendix, utiHzers can frnd the complete series since 1863 to 1972, at regional level, of infant mortality rates by sex, considering neo-natal and post-neo-natal mortality separately,and number of live born auci deceased children</p>
<p>pdf/p 275 Append 1 283p237 App 2 IMR by region</p>
<p>Piemonte IMRs 1896-1901 male 158-184 female 134-158 SR5</p>
<p>1880 census volume just has population with geographic breakdowns (no age nor sex)</p>
<p>1901 census population counts are by year of birth, with 1901 Jan 1 to Feb 9 and earlier full years. Perhaps of interest, the SR of the January babies is very male (m/f 109%), and moreso than the SRB.</p>
<p>1901 vol 1 Tavola 1 Popolazione dei Comuni e Frazioni di Comune</p>
<p>1901 census vol 2 (<a href="https://books.google.ca/books?id=6JUyAQAAMAAJ">google books CA</a>) pdf475 Indice, pdf 615 Tav III is population par sesso & eta for various places 132-140 141-177, 178-229, 230-267,<br />
A In ciascun capoluogo di provincia o avente oltre 15,000 abitanti (In each provincial capital or with over 15,000 inhabitants)<br />
B In ciascun circondario ed in ciascuna provincia (In each district and in each province). Pp 230-267 (706-743) pop by birth-year and sex; 268-319 (744-795) single/married by age groups<br />
C In ciascun compartimento e nel regno (In each compartment and in the kingdom). Pp 320-337 (796-813) ages by sex ; pdf813 is p337 with population by sex and birth-year for the kingdom as a whole (Regno).</p>
<p><strong>Redundant sources:</strong></p>
<p>Statistica delle cause delle morti <a href="https://books.google.ca/books?id=2AuQ4GGhjkQC">1888</a> – does not seem to give infant deaths (nor deaths by age otherwise). 1887 also available (via other editions)</p>
<p>Annual stats are Annuario statistico italiano, <a href="https://books.google.ca/books?id=TUoYAAAAMAAJ">Vol 1</a> is 1878.</p>
<p>1897 has births by sex 1872-1895 pp38-39 pdf62-63. Birth totals match HMD and Table 2.5 of Istat (but Table 2.3 of Istat estimates larger birth counts; e.g. 1880 Istat’s 989 K live births; AnnStat and HMD have 957,900 (as does Table 2.5).</p>
<p>pdf67 Igiene e sanita – sources include Statistica delle cause delle morti; limited mortality data – pdf68 p44 1887 828,992 total deaths – matches HMD. HMD says age 0 deaths 1887</p>
<p>HMD deaths shows 1881 age 0 95620.21 112217.85 207838.06</p>
</div>
<div id="switzerland-che" class="section level4">
<h4>Switzerland (CHE)</h4>
<p>Combined.RDS has 1880, 1888, 1900, 1910, 1920, 1930, 1941, 1950, 1960. Why not 1970? Maybe IMR too low (1960 is ~23)</p>
<p>IMR from HSSO matches Mitchell/IHS 2013. Calc via 4yrs of data 1867-70 210.3, 4yr avg 210.2</p>
<p><a href="https://hsso.ch/en/1996/b/8">u5 ages</a> for censuses 1860 onward from HSSS</p>
<p><a href="https://hsso.ch/en/2012/c/38">deaths by age</a> Historical Statistics of Switzerland HSSO, 2012. Tab. C.38. hsso.ch/2012/c/38 Total Deaths by Age Group 1841–1870 (Estimate of I. and H. Ritzmann)</p>
<p><a href="https://hsso.ch/en?q=deaths+by+age&tp=eyJzdCI6bnVsbCwidHAiOm51bGwsImkiOltudWxsLG51bGxdfQ%3D%3D" class="uri">https://hsso.ch/en?q=deaths+by+age&tp=eyJzdCI6bnVsbCwidHAiOm51bGwsImkiOltudWxsLG51bGxdfQ%3D%3D</a></p>
<p>c39 Male Deaths (Excluding Stillborn Births) by Age Group 1867–1995<br />
c40 Female Deaths by Age Group c40 Total Deaths by Age Group c41 c42 Deaths in First Month and First Year of Life c43 Deaths in First Year of Life by Month Male Deaths in First Year of Life <a href="https://hsso.ch/en/2012/c/44">c44</a> Deaths in First Year of Life by Canton 1867–1995 <a href="https://hsso.ch/en/2012/c/45">c45</a></p>
<p>1871-1890 in the 4 volumes of Mariages, naissances, décès en Suisse de 1871 à 1890.<br />
v1 marriages; v2 births; v3pt1 deaths; v3pt2 death-causes. All <a href="https://catalog.hathitrust.org/Record/011529302">full-view at Hathi</a>.<br />
births 1871-1890 <a href="https://babel.hathitrust.org/cgi/pt?id=coo.31924092590847">Vol 2</a><br />
p3 total births per year (copied)<br />
p47 La prédominance régulière des garçons est un phénomène bien connu (106 b/f)<br />
Pages restart with Tables.<br />
Table 8 (p14) births by sex, 1871-1890<br />
Volumse has data on still-born (mort-nés) but not infant mortality.<br />
Vol 3 pt 1, deaths; Vol 3, pt 2 causes;<br />
V3pt1 Tables p18 deaths by sex/age</p>
<p>1860 census <a href="https://catalog.hathitrust.org/Record/101659639">v3</a> for age/sex (5year)</p>
<p>1888 census <a href="https://babel.hathitrust.org/cgi/pt?id=hvd.32044106522675&view=1up&seq=59">v2</a> for age/sex data p191 1860-1888 p210 1888</p>
</div>
</div>
<div id="germany" class="section level3">
<h3>Germany</h3>
<p>Germany 1880-1933 with IMR/SR ~240 100.5 (1880) to ~77 103.7 (1933)<br />
Prussia 1875 ~220 101.1</p>
<p>u5 populations 1871 IHS-A7-3580; 1880: Statistisches Jahrbuch 1883, p. 10; 1890: Statistisches Jahrbuch 1896, p. 5; 1900: Statistisches Jahrbuch 1903, p.6; 1910: Statistisches Jahrbuch 1919, pp. 6-7; 1925: Statistisches Jahrbuch 1919, p. 14; 1933: Statistisches Jahrbuch 1939, p. 14.</p>
<p>East Germany HMD says Statistisches Bundesamt, ed. (1996). Bevoelkerungsstatistische Uebersichten 1946 bis 1989 (Teil II). Wiesbaden: Arbeitsunterlage. (Sonderreihe mit Beitraegen für das Gebiet der ehemaligen DDR, Heft 28) [as cited in the HMD]. –</p>
<p><a href="http://www.digizeitschriften.de/dms/toc/?PID=PPN514401303">Statistical Yearbooks</a> 1880-1941/42 are online from German site.<br />
<a href="http://www.digizeitschriften.de/dms/toc/?PID=PPN514401303_1902">1903</a> has age/sex <a href="http://www.digizeitschriften.de/download/PPN514401303_1903/PPN514401303_1903___log7.pdf">p6</a> has age/sex<br />
1893 has u10 ; 1913 no; 1914, 1915 u12; 1916,17,18 no; 1927x 1928&1929 have 1925 age/sex.<br />
1936 yrbk has the IHS values of u5 pop, date of 31dec1833; 1837 yrbk gives slightly smaller values, from June which is the census date. So we should use those – the census values.</p>
<p>1881 no age/sex data found. These seem not to be searchable.<br />
1914 p497 has International Overview (of what?)<br />
1991 has data for 1950 forward</p>
<p>Early YrBooks, full-view at Hathi, <a href="https://catalog.hathitrust.org/Record/100422932">1873 and later</a> 1873 no ages;</p>
<p>Seems that all the Yearbooks are <a href="https://clio.columbia.edu/quicksearch?q=Statistisches+Jahrbuch+f%C3%BCr+das+Deutsche+Reich&commit=Search">Online at Columbia</a> (Statistik des Deutschen Reichs) and those probably are Hathi and searchable.</p>
<p>Later Yearbooks are online. I checked 1991 index: Säuglingssterblichkeit 74, 86, 434. p434 causes; p74 births; deaths in first year of life;<br />
Gestorbene im 1 Lebensjahr 1950 1116701 67175<br />
Die Säuglingssterbeziffer</p>
<p><strong>Mitchell</strong> 2013 pdf3396 A- Population and Vital Stats</p>
<p>YrBks corroborate Mitchell’s u5 populations for 1880 1890 1900 1910 1925 1933 (Series A2, 2013:13pdf3454, 1983:45). Seems Alsace & Lorraine included 1871-1918 (But Js assures these are small). Series A1 Germany (pdf3408) has fn24 (pdf3437); A1 has pops for those census years. 1910 has fn25 From 1910 (2nd line) the territories ceded after the First World War are excluded A2 is pop by 5-yr ages. (2013:15pdf3454); 1933n13 p45pdf3484 Excludes Saarland. A1 is census pops (2013:10pdf3407) 1910 has two lines, n25 ()</p>
<p>Mitchell gives a consistent series for IMR data for 1875-1900 (“five states”), but 1900-40 (Empire & Republic) is different.</p>
<p>Our spreadsheet (IMR-SR.xls) refers to 1875-1900 series as D5S (5 states) and it is to be used for SRs from 1880-1900. The subsequent IMR series is DER (Empire & Republic) and it is to be used for the 1910 and later German data.</p>
<p>Mitchell reports (pdf139, 2013:pdf3577) IMR from 1836 (292), but via footnote 3 (pdf146p127) 1836-50 is Bavaria only; 1851-70 is Bavaria and Kingdom Saxony; 1871-74 + Baden, Wurttenburg; 1875-1900 + Prussia; 1901-1940 German Empire & Republic. fn7 1875 IMR=242 but n9 1875 say IMR without Prussia 308 (1872-1874 values listed are 301 307 297) so Prussia pulls average IMR way down. Knodel 1974 corroborates that, with Prussia IMR 1871-75 224 1876-80 205<br />
Mitchell IMR p3589 n3: Bavaria, Saxony, Baden, Württemberg, and Prussia for 1875–1900; German Empire and Republic for 1901–40;<br />
Mitchell U5 p3454, n13 on 1925& 1933, n14 on 1939; p3484 A2 Notes 2. For fuller footnotes on territorial changes and on the nature of these statistics see table A1 (Population of European Countries at Censuses). Footnotes 13 Excluding Saarland. 14 1937 territory.<br />
Table A1 p3407 Germany footnote 24, p3408 1910 n25, 1933 n27<br />
n24 figures to 1864 (1st line) … exclusive of areas ceded … in 1860-71 / <those areas included> from 1865<br />
n25 from 1910 second line territories ceded after WW1 are excluded<br />
n27 1939 includes a small part of Austria</p>
<p>The u5 counts in Mitchell match the Yearbook Vol 4. There “Eheschliessungen, Geburten und Sterbefälle in den Jahren 1872—1881” (Marriages, births, deaths).</p>
<p>HMD life-tables for Germany, <a href="https://www.lifetable.de/data/DEU/DEUFRG018711880AU1.txt">1870s</a> has q0m of 252.73 q0f 217.40</p>
<p>Säuglingssterblichkeit</p>
<p><strong>Prussia</strong> and Berlin. Annual IMR 1875-1914 and u5 m & f counts for 1875, 1885, 1895, 1900, 1905, 1910.</p>
<p>Our Prussian IMR match Knodel where we have overlap: 1876-80 1881-1885.</p>
<p>Voegele 2000 show 1886 peaks. From our source, rural/urban all 211/251 225 – seems consistent <a href="https://babel.hathitrust.org/cgi/pt?id=uc1.c100401527&view=1up&seq=284&size=125">1886</a></p>
<p><a href="http://www.patrickrgalloway.com/prussia.htm">Patrick R. Galloway</a> Prussian data. But they are an old version of XLS file, which read_excel can’t open; they need resaving in a somewhat more current version of XLS. Jim’s R code to get Galloway data is in github/dreadful (home to my log, lit, sources htmls): SSMMgallow.R and SSMMgallowFix.R</p>
<p>annual IMR data 1875-1914 via births by sex, but u1-deaths not by sex<br />
These values are much above Knodel’s …</p>
<p>age/sex counts 1867 u10; in IMR-SR.xls 1871 u5; 1875 u1, 1to4; pop1885, 1890no, age1895, age1900, age1905, pop1910: u1, 1to4 (so u5); m/f ages NOT in 1890 (pop,age), pop1900, pop1905;</p>
<p>E.g. POP71.XLS gives us u5 pop; via his <a href="http://www.patrickrgalloway.com/galloway_2007_prussia_codebook.pdf">codebook</a>, I confirm the souce is the vol 30 <a href="https://babel.hathitrust.org/cgi/pt?id=uc1.c100244734&view=1up&seq=258&size=125">1871</a>. Hathis page #516 or so. BIR1871.xls has births by sex, from same source (pages 24-25, 29-36)<br />
Die Ergebnisse der Volkszählung und Volksbeschreibung im Preussischen Staate<br />
The results of the census and description of the population in Prussian states</p>
<p>vit1875-vit1914 births and u1 deaths – now in RDS</p>
<p>birm & birf includes birinstm/f – those in public institutions;<br />
geburten births Zahl der Geborenen number of born<br />
sterblichkeit mortality Zahl der Gestorbenen number of dead</p>
<p>via 1888 I see my birth count is live-births;</p>
<p>Galloway’s codebook directs to <a href="https://babel.hathitrust.org/cgi/pt?id=uc1.c100244813&view=1up&seq=241&size=125">1875 Prussia Yrbk (vol 42)</a></p>
<ol start="2" style="list-style-type: upper-roman">
<li>Geburten/Births Ueberhaupt/in general (overall) in</li>
</ol>
<p>my birth counts are good (live births only), but I need to deduct stillborns …</p>
<p>the mortality count includes stillborn<br />
IV. Sterbefälle (einschliesslich der Totgeborenen).<br />
IV. Deaths (including the stillborn).</p>
<p>Galloway via <a href="https://www.ifo.de/en/node/44166">ifo institute iPEHD data</a></p>
<p>Prussian below is superseded by Galloway (but might be used to corroborate)</p>
<p><a href="https://books.google.ca/books?id=yXQOAAAAQAAJ">Prussia 1877</a></p>
<p>Preussische Statistik <a href="https://books.google.ca/books?id=yXQOAAAAQAAJ">xxxix 1875 ages u5</a> vol 39 Uebersicht IV Geschlecht und Alter p50 u5 ages in 1875 vol xxiii 1869 Druck, temp xxiv 1870 Druck, temp xxv 1871 Druck, temp xxvi in and out migration einwanderung und auswanderung xxvii 1872 Druck, Temp xxviii 1869-72 violent deaths etc xxix births, marriages, deaths <a href="https://babel.hathitrust.org/cgi/pt?id=uc1.c3458206&view=1up&seq=5">1868-72</a> Trauungen p74 ages of couples p178 (Trauungen weddings) xxx Die Ergebnisse der Volkszählung und Volksbeschreibung</p>
<p><a href="https://babel.hathitrust.org/cgi/pt?id=uc1.c100244734&view=1up&seq=388">1871 census</a> p24 #82 293 #352 agricultural census Some “balancing” data/estimates … Jim deems these are pseudo-life-table and not a basis for pop counts. 330 (#388) u5? columns 9 & 10, male & female.<br />
315 Darn! Jim can’t find age/sex counts … this seems to be the most likely volume …</p>
<p>XXXI Viehzählung (cattle count); XXXII Klimatologie; XXXiii Druck , Temperatur , Feuchtigkeit und Niederschläge; XXXiv 1874 Druck, Temp … ; XXXV Finanzstatistik; xxxx business census?; XXXVII weather; xxxviii accidents & suicides 1873,74,75;</p>
<p><strong>AUT AUSTRIA</strong></p>
<p><a href="https://childmortality.org/data/Austria">IGME</a> 1950.5 IMR 73 (1949.5 83.37) … 1914-21 176.0 in Holmes & Mentzer</p>
<p>u5<br />
1869, 1910 from IHS<br />
1880 from Handbuch 1886, p3; 1890 from <a href="https://babel.hathitrust.org/cgi/pt?id=hvd.hl0lnt&view=1up&seq=5&skin=2021">Handbuch 1893</a>, p. 6; 1900 from 1903, p. 7.</p>
<p>Interesting <a href="https://anno.onb.ac.at/cgi-content/anno?zoom=33">austrian biblio</a><br />
A <a href="Statistisches_Jahrbuch_der_Österreichischen_Monarchie">wiki</a> that may provide links for AUT data<br />
<a href="http://www.literature.at/viewer.alo?objid=785&viewmode=overview">austrian lit online</a></p>
<p>In the IHS listing of sources, the only reference to 1869 is Statistisches Jahrbuch der Österreichischen Monarchie (1861–1881). Those are linked in <a href="https://de.wikisource.org/wiki/Statistisches_Jahrbuch_der_%C3%96sterreichischen_Monarchie#1863%E2%80%931881:_Statistisches_Jahrbuch">this wiki</a>. Looking for age/sex: not 1868-1871; (new format starts in 1872) 1872-1880 (has 1880 census); end looking.</p>
<p>u5 for SR have 1880 1890 1900 from 19C AUT sources; use IHS for 1869 and 1910; 2010 YrBk and IHS have 1923 and 1931 Republic of Austria</p>
<p>IMR 1876-1907 u1 deaths from StHb1909; 1875-1907 births from YrBks 1886, 1893, StHb1907, 1909. IHS "From 1914 the statistics apply to the present Republic, except that Burgenland is not included until 1922 – so how big is Burgenland? 1923 286K in pop of 6535K or 4% – I deem NEGLIGIBLE for us</p>
<p>From Google Doc: we have data for IMR by sex for 1875-1907; total IMR (Mitchell/IHS) 1908 onward. M & F u5 pops for 1880, 1890, 1900 from contemporary sources; use Mitchell for 1910 u5 pops (total matches OK with 1910 census as reported in 1913 Statistische Monatschrift. Austria’s stats bureau has u5 pops for only a very small subset, smaller than offered by the Jahrbooks of circa 1900/1910).<br />
HMD’s ”Austria” is very small compared to 19C Austrian sources. Yearbook 1886 p3. has 1880 u5 pops 1449168 1465661, matches IHS/Mitchell (2013:pdf3440) has 1449 1466. The corresponding SR-values are 98.87 and 98.84 (so IHS rounds to .1 lower). Page 5 has infants deaths, m & f, <1month, 1-12mos. HMD says “In general, the degree of completeness is high enough to classify Austrian birth statistics as being of high quality”. HMD’s birth count for 1880s are only about ⅕ of Austria’s YrBk for 1886. From MItchell/IHS it seems YrBk does not include Salzburg.</p>
<p>Modern/small Austria’s <a href="http://www.statistik.at/wcm/idc/idcplg?IdcService=GET_PDF_FILE&RevisionSelectionMethod=LatestReleased&dDocName=042776">u5 pops at censuses from 1869</a> in the 2010 Statistisches Jahrbuch. Ji found it in a search at <a href="http://www.statistik.at/web_en/nomenu/searchresults/index.html">Statistics Austria</a>. That Jahrbuch is available at <a href="https://opendata.ruhr/dataset/statistische-jahrbucher/resource/dd7ed193-885e-467f-a3a1-f3440761fd86">Open Data Portal Metropole Ruhr</a> <a href="http://www.statistik.at/wcm/idc/idcplg?IdcService=GET_PDF_FILE&RevisionSelectionMethod=LatestReleased&dDocName=042776">Population (Stat.Yearbook</a> But that is a very small version of Austria</p>
<p><a href="https://www.google.com/books/edition/Statistisches_Jahrbuch_f%C3%BCr_das_Jahr/lz5YAAAAYAAJ">1868</a> p20 for infant deaths<br />
<a href="https://www.google.com/books/edition/_/h0NYAAAAYAAJ?gbpv=1">1873</a> p44 infant deaths? p50 Kindersterblichkeit (infant mortality) von der Geburt bis mit 5 Jahren (birth to 5 yrs) by month of year</p>
<p>Bewegung der Bevölkerung, mouvement de la population, volume annuel depuis 1881.</p>
<p>Statistisches Jahrbuch der österreichischen Monarchie, Annuaire statistique : 1863-68 (1 vol.); 1869-70 (1 vol.); volume annuel de 1871 à 1881. Osterreichisches statistisches Handbuch, volume annuel depuis 1881.</p>
<p><a href="https://catalog.hathitrust.org/Record/000678775">Stats Jahrbuch 1861 to 1881</a> Hathi-UMich</p>
<p><a href="https://www.google.com/books/edition/_/h0NYAAAAYAAJ?gbpv=0">various Jahrbuch at Google</a></p>
<p><a href="https://www.google.com/books/edition/_/L0FYAAAAYAAJ?gbpv=1">1870</a> p20 weddings according to age <a href="https://www.google.com/books/edition/_/WkVYAAAAYAAJ?gbpv=1">1877</a> GoogleBooks lists as 1880, the publication year. <a href="https://babel.hathitrust.org/cgi/pt?id=mdp.39015033611834&view=1up&seq=53">1878 at Hathi</a> not on Google <a href="https://www.google.com/books/edition/_/IUZYAAAAYAAJ?gbpv=1">1879</a> p44 Kindersterblichkeit <a href="https://www.google.com/books/edition/_/nElYAAAAYAAJ?gbpv=1">1881</a> Stats Jahrbuch does not seem to have the births and deaths for previous years, which we find in later volumes (Ji looking for 1876-79 ) <a href="https://www.google.com/books/edition/_/nElYAAAAYAAJ?gbpv=1">1882</a> <a href="https://books.google.com/books?id=D0sS25Ei5KsC">1886</a> has 1880 u5 pops (p3) and u5 mortality by sex <a href="https://babel.hathitrust.org/cgi/pt?id=chi.12960051">1893</a> p24 has births and u1 deaths 1882-1893. <a href="https://babel.hathitrust.org/cgi/pt?id=chi.101238827&view=1up&seq=22&size=125">19xx</a> for 1895-1906</p>
<p>Statistisches Jahrbuch Österreichisches statistisches Handbuch Hathi 1895-10 9(got) got 1895-1909 OSH</p>
<p><a href="https://catalog.hathitrust.org/Record/100466360">OSH 1893 1899 1901</a> via Hathi-Harvard</p>
<p><a href="https://catalog.hathitrust.org/Record/012306732">OSH 1895-1909</a> via Hathi-NYPL</p>
<p><a href="https://www.google.com/books/edition/_/bs1CAQAAIAAJ?hl=en&sa=X&ved=2ahUKEwj9p4zO_8zxAhUTQ80KHZ9QDCgQ7_IDMAB6BAgDEDQ">1904</a> check for leads / other editions to bridge 1907 to 1914 and to look for u5 populations …</p>
<p><a href="https://babel.hathitrust.org/cgi/pt?id=nyp.33433090775069&view=1up&seq=42&q1=alter">1909 Os st Hb</a></p>
<p>p2 Zivilbevölkerung civil population 1818-1900<br />
p7 Altersgliederung nach einzelnen Altersjahren und dem Geschlechte 1900 agebreakdown by sex (lists birth year and m f pops)<br />
p28 1907 infant deaths (#42 p28) p40- has 1895-1906<br />
a) Ohne Berücksichtigung der Legitimität – w/o taking legitimacy into account<br />
p41 b) taking legit into account Ehelich Geborene born in wedlock; Unehelich Geborene illegitimate births</p>
<p>1911-1919 GoogBks no preview Österreichische Statistik</p>
<p>1920 onward is Statistisches Jahrbuch für die Republik Österreich SJB <a href="https://babel.hathitrust.org/cgi/pt?id=uiug.30112054454993&view=1up&seq=10">1921</a> has 1914-1921</p>
<p>1923&1924 doesn’t have age/sex</p>
<p>Monthly data in <a href="https://clio.columbia.edu/catalog/ht009025775">Statistische monatschrift</a> are not likely of use (Jim had a quick look)</p>
</div>
<div id="sweden" class="section level3">
<h3>Sweden</h3>
<p>Can use 12 CSRs from 1757-1855, reasoning that when old-official and HMDraw are within 0.5% then we have a reliable CSR value … both of those CSR values coming from Subbarg</p>
<p>1757 is first yr with “official” (Sundbarg’s term) CSR data, but Sudbarg’s corrections often cast doubt on the official values. If so, we won’t use the IMR CSR pairing. 1757 or 1760? 1757 Su197 -.4 HMD +.3 wider range, don’t use 1760 Su197 -.2 HMD +.3 Su181 +.2 COULD USE 1760 1763 197 same; 208 -.2 CAN USE 1766 NO – HUGE SWING</p>
<p><a href="https://www.statistikdatabasen.scb.se/pxweb/en/ssd/START__BE__BE0101__BE0101I/LevandeFodda/"><strong>Sweden</strong></a> IMR (1751-2020) and births (1749-2020). HMD for population counts 1749 forward; Statistics Sweden seems to have the same data for 1860 forward (at least the 1866 values are the same (random choice)). That site has sex by age from 1860</p>
<p>2 or 3 versions of age-sex for Norway, 1751 forward (official 1860 on)</p>
<p>HMD ref 31 is Pp. 186-230 in Sundbärg p179 official & corrected counts, total (not m/f) 0/1 1/3 3/5 for various yrs 1751 on. See corrected < and > official. p180 official m/f by age groups</p>
<p>HMD reports 1-year age-sex from 1751. Gives source as Sundbärg, G. (1908) for 1751-1900, in <a href="https://books.google.ca/books?id=zTRAAQAAMAAJ&dq=Medelfolkm%C3%A4ngden+efter+%C3%A5lder+och+k%C3%B6n,+f%C3%B6r+ber%C3%A4kning+af+d%C3%B6dstalen&source=gbs_navlinks_s">Statistisk Tidskrift 1908</a> in my <a href="https://www.dropbox.com/sh/2i5slr1w2k3aysw/AACJokwIsDU4fmCiMkVzTnija?dl=0">digital library</a> He has p223 issue 129 of this journal … overview of everything from the beginning - of the information about Sweden’s population and its for division by age and sex, - with correction, as far as possible, of the numbers for the years 1750-1855, which in some parts are not fully acceptable in their own right original condition … This correction for the first century includes those year-old groups Likewise, from the very beginning, however, the first of these five year groups, or the age 0-5 years, have been divided into three subgroups, in namely, the first year of life taken up separately (0.1 years) and the others four age years combined two and two (1 3 and 3 5 years). … In the next article, in this booklet, average people are published the quantity figures for these ages, for each year since 1750, - together with an account of which methods have been used, in the amounts calculation for the years that are not census years. As shown in the said article, it is for the mortality calculations the official population, which should be used. By a codification of these age numbers from the point of view of the probable population distribution by age, is necessary to bring the figures into question agreement with the corrected figures for the age 0/5 years in booklet 129</p>
<p>178 The calculation of the population in the ages 0/1 years, 1/3 years and 3/5 years is thus given a double task, with different results in each the case: - on the one hand a division of the official average population at the age of 0/5 years (which, as shown in the next article, can be considered the closest correspond to the figures given for the deceased), on the other hand a division of the corrected population.<br />
In the former case, the population needs to be calculated for each calendar years; in the latter case again one can be content with every five years, such as in other corrections of our censuses. The calculation of the distribution of the official population is described detailed in the next article.<br />
Here again, the task is to bring the official census results in accordance with the results at which we in booklet 129 have stayed such as the most likely [stayed as they were likely].<br />
The method used in booklet 129 to examine the value of official figures is to follow each quinquennium from the one census to the other and check how the discrepancy? agrees with probable number of those who, in the meantime, estimated death. When, as here, it concerns one-year or two-year groups, this method id useless, - for the simple reason that in our censuses (before in 1860) a certain one-year or two-year group no longer appears at the following the censuses.<br />
The possibility of correction is thus significantly reduced here. Meet the group to be examined, once in our official tables, but then never again. Under such circumstances, a complete investigation becomes one quite complicated work. Here we have contented ourselves only with an approximate attempt - which should be completed when more favorable circumstances offer than is currently the case.<br />
We thus stop again in the face of the same wishes, as several times met us before: the need for the old original documents to The population statistics of the 18th century were subjected to a thorough revision. We repeat what we have already said on the same subject: it is to hope that no significant errors shall thereby come to light, but this revision would be a measure of justice for the material itself, which is so precious and ate Sweden’s so highly famous older population statistics. p179 official and corrected, totals (not by sex) for 0-1, 1-3, 3-5 or 0-5 1750</p>
<p>calculations in booklet 129 have, among other things, shown that at our older censuses - yes until the year 1855 - age 0-5 years was too busy, at the expense of the age of 5/10 years.</p>
<p>p183 When the figure for the age 3/5 years is here so much above standard, which now turns out to be the case</p>
<p>p184 total numbers 0/5, then m/f discussed: Male and female gender. The table p. 180 … distribution of the population by sex within the groups present here, by the official census … A look at the older numbers is enough to convince that there are several significant inaccuracies here. If you go to county or diocesan summaries in Statistics Sweden’s archives, front also make the mistakes clear.<br />
However, in this case it is comparatively easy to roughly correct the errors, since at these ages the males of the male and female sexes is almost the same. In cases of gross discrepancy, one needs only, by comparison with previous and subsequent censuses, ascertain which of the figures, of the opposite sex or of the female sex, is the current, and then change the numbers of the other sex to approximate bearings. On in this way the deviations which in the table on the side have arisen. 179 before come for the age of 01 years between the official and the corrected figures for the years 1775, 1780, 1785 and 1790. One always recognizes that time - the Gustavian, - which in the history of our population statistics denotes the period of negligence and decay. p185 Our task here has now been partly to reintroduce reasonable proportions between the numbers of the male and female in each case, partly to bring the sums of the three subgroups in accordance with the corrected ones the numbers in the booklet 129.</p>
<p>p186 Medelfolkmängden efter ålder och kön , för beräkning af dödstalen . The average population by age and gender, for the calculation of the death rates .</p>
<pre><code>p186bott Namely, it is the case that the age groups, in which our official statistics divided the population, essentially being the same used for the classification of the deceased. This is especially true about the age group that is of the greatest importance here, namely group 0/5 years.</code></pre>
<p>*suggestion that 0/5 count inflated by kids who should be in 5-10, for dead also</p>
<p>p197 before Table 1 The average populations in Tab. 1 based on the official people the quantity figures. Exceptions: the male and female population, separately, at the age of 0’5 years is corrected (for the years 1751/1860) and thus deviates from the official speeches. It follows that if you sum up the numbers for the male sex at all ages and likewise the numbers for the female sex, so results other than the total populations listed in the table are obtained of either sex. The sum of both sexes together is upset however, not.</p>
<p>1860 60210 58446 118656; 1860 59711 57933.5 117644.5 HMD 1860 60589 58837 1861 60597.08 58845.51 119442.59</p>
<p>Stats Sweden has <a href="https://www.statistikdatabasen.scb.se/pxweb/en/ssd/START__BE__BE0101__BE0101A/BefolkningR1860N/#">1860-2020</a></p>
<p>for 1751-1859 HMD cites pp 186-230 of Sundbarg,</p>
<p>IMR at StatsSweden 1751-2021</p>
</div>
<div id="norway" class="section level3">
<h3>Norway</h3>
<p>Official sources cast doubt on Norway IMR before 1876 (IHS has 1836 on). Thinking we’ll want to estimate Norway’s IMR 1845, 1855, 1865, 1875 based on the SR values and Nordic IMR:SR relationship of 19th C …</p>
<p>Listing of Statistics Norway historical publications by subject <a href="https://www.ssb.no/a/english/histstat/publications/">1828-1876 & 1977-96</a></p>
<H4>
Norway U5 Populations
</H4>
<p>The data are found in HMD Norway (where years refer to year-beginning). Our years are year-end, to line up with IMR.<br />
1845-1900 values are in <a href="https://www.ssb.no/a/histstat/nos/nos_v_113.pdf">Norges folkemængde fordelt paa de enkelte aldersaar 1846-1901 (Population de droit</a>, pp. 32, 34 (pdf 47, 49). Same values are in HMD.</p>
<p>1910 census 1920 census 1930 <a href="https://www.ssb.no/a/histstat/nos/nos_ix_024.pdf">Folketellingen i Norge 1 desember 1930. Femte hefte</a>, p2; also Historisk statistikk 1978, p. 35 and online table 3-3. 1946 <a href="https://www.ssb.no/a/histstat/nos/nos_xi_041.pdf">Folketellingen i Norge 3. Desember 1946, Tredje hefte</a>, p. 2 (Recensement de la population le 3 décembre 1946, III). 1950 <a href="https://www.ssb.no/a/histstat/nos/nos_xi_146.pdf">Folketellingen 1, Desember 1950 Annet hefte, Folkemengden etter kjønn, alder og ekteskapelig stilling</a>, p. 2 (Population Census December 1, 1950, Second Volume, p. 2). 1960 <a href="https://www.ssb.no/a/histstat/nos/nos_xii_117.pdf">Population Census Volume II</a>, p 8. Also Historisk statistikk 1978, p35. 1970 <a href="https://www.ssb.no/a/histstat/nos/nos_a448.pdf">1970 census</a> (Folkemengden etter alder og ekteskapelig status 31 Desember 1971) pp24-25 also Statistics Norway, Historiskonline table 3-3, <a href="https://www.ssb.no/a/histstat/tabeller/3-3-en.html">“3.3 Resident population, by sex, marital status and age”</a>; 31 Dec 1970.</p>
<p>1930 census, not volume 1;</p>
<p>pasted here, from Appendix, just in case it is useful: Statistics Norway (1910), <em>Norges folkemængde fordelt paa de enkelte aldersaar 1846-1901</em>. Norges Officielle Statistik V. 113. Kristiania (Oslo), H. Aschehoug & Co.</p>
<p>Details<br />
1845 (Jan 1 1846) HMD, which has same values as in Norges folkemængde; corroborated with reference to census u7 values found in Hist-Stat 1948.<br />
<a href="https://www.ssb.no/a/histstat/nos/st_16r_1846-55.pdf">1855 census</a> ; p viii (pdf 9) for 5yr age groups. Also p30 (table No. 4 seems to have geographic detail) <br> 1865 (jan 1 1866) Census, same values as in HMD and in Norges folkemængde <a href="https://www.ssb.no/a/histstat/nos/nos_i_c1_i_1876.pdf">Resultaterne af Folketællingen i Norge 1 Januar 1876</a> slightly different age/sex counts for u5 p97 Tilstedeværende Folkemængde – population present; p134 Hjemmehørende Folkemængde NATIVE population 1876 (Jan 1) Census, resident population (negligible difference from population present); it is the HMD value of 1876.<br />
<a href="https://www.ssb.no/a/histstat/nos/nos_iii_053.pdf">1886 census</a> shows u15 by sex. pdf p22</p>
<p>1890/91 Census Pop Tilstedev / de fait …. Present in 1893 YrBk; But we use “resident” pop as reported in HMD and Norges folkemængde (resident / present about the same SR). oecd: de droit residence; de fait – present;</p>
<p>1900, 1910, 1920, 1930, 1940 … 1970?</p>
<p>Historisk statistikk 1978 (pp. 34-35) has u5 pops 1900, 1930, 1960, 1975. So does HS 1994.</p>
<p>The U5 ages also on pdf3478 of Mitchell (2013) – they are rounded but otherwise seem to match censuses.</p>
<p>Norges folkemængde fordelt paa de enkelte aldersaar 1846-1901 (Population de droit](<a href="https://www.ssb.no/a/histstat/nos/nos_v_113.pdf" class="uri">https://www.ssb.no/a/histstat/nos/nos_v_113.pdf</a>). Norges hjemmehørende : resident population (de droit)<br />
Tableau no 1. Population de droit de la Norvège répartie par années d’âge au commencement de chacune des années de 1846 à 1901; pp32-37 (pdf47) Tab 2 5yr age-groups by year.<br />
Translation from Norwegian: The figures relating to the population on January 1, 1846, 1856, 1866, 1876, 1891 and 1901, rely on censuses, while those for all intermediate year is calculated.<br />
See below for more on this source.</p>
<p>Careful of dating – HMD data are for Jan 1 of the year stated, but StatsNorway gives same values as Dec 31 of the prior year. So there is a simple 1-year discrepency to be alert for.</p>
<p>NOTE Timing issue. HMD year is (StatsNor +1); HMD is for Jan 1 and SN is Dec 31. So HMD u5 t should be associated with IMR t-1, t-2, …, t-5. Magnitudes: <em>Norges folk</em> refers to census-based populations: “The figures relating to the population on January 1, 1846, 1856, 1866, 1876, 1891 and 1901, rely on censuses, while those for all intermediate year is calculated.” (translated from Norwegian).</p>
<p>E.g. HMD for 1866 and 1971 are Jan 1 values, which show up as the 1865 and 1870 values at Statistics Norway Tab 05810 (which table has footnote “Until 1990 the figures correspond per 31 Desember. As from 1995 the figures correspond per 1 January..” )</p>
<p>u7 populations 1845-2021 in <a href="https://www.ssb.no/en/statbank/table/05810">05810: Population, by sex and age 1845 - 2021</a>; those years correpsond to HMD(year +/- 1?); thus the 05810’s 1865 value is HMD’s 1866 value.</p>
<p>HMD & Norgesfolkemængde have same timing; but many of the pubs refer to end of year (so HMD t-1)</p>
<p>HMD u5 is same data as Norges folkemængde, which states age/sex data is for the start of the year; e.g. u5 male 1866 117,026 – that is the value reported for 1865 by Statistiske oversikter 1948 and by HMD?. Census refers to Jan 1, 1866 (but pdf39p3 refers to 31Dec1865 pop 1,701,756 which is table 05810 value for 1865 . e.g. u5 male 1865 114,326 1866 117,026 in HMD & Norges folk; reported for 1865 in Statistiske 1948</p>
<p><a href="https://www.ssb.no/a/histstat/nos/nos_v_113.pdf">Norges folkemængde fordelt paa de enkelte aldersaar 1846-1901 (Population de droit</a> RESIDENT POP (de droit) TRANSLATED<br />
FROM NORWEG: The figures relating to the population on January 1, 1846, 1856, 1866, 1876, 1891 and 1901, rely on censuses, while those for all intermediate year is calculated. FROM FRENCH: Since 1876 the age has been expressed year by year, but for years previous years into groups which have been divided by years using calculations approximate, based on the number of births over the years corresponding. Similar calculations have been undertaken in part also for the censuses of 1876, 1891 and 1900 in order to correct certain irregularities from ages shown in round numbers. FROM NORWEG: Norway’s resident population distributed by individual age at the beginning of each of the years 1846-1901 Tableau no 1. Population de droit de la Norvège répartie par années d’âge au commencement de chacune des années de 1846 à 1901; pp32-37 (pdf47) Tab 2 5yr age-groups by year;<br />
Tab 3 30yr age-groups; Tab 4 1yr ages for 5yr periods; Tab 5 5yr age-groups by sex for 5yr periods (1846-50, 1851-55, … , 1896-1900)</p>
<p>Hist Stats 1978 has u7 sex/age at 10-year intervals 1845-1875, 1890-1900, and 5-year intervals 1900-1975.</p>
<p>YrBk 1975 has u5 for 1972; 1971 has u7 values;</p>
<!-- Data for 1946 are from the census of 1946^[Statistics Norway (1951), Folketellingen 1946, Hefte 3. [*Folkemengden etter kjønn, alder og ekteskapelig stilling, ...*](https://www.ssb.no/a/histstat/nos/nos_xi_041.pdf), Tabeller p. 2.] And the data for 1950 are from the census of that year.^[Statistics Norway (1953), Folketellingen 1950, Hefte 2. [*Folkemengden etter kjønn, alder og ekteskapelig stilling ...*](https://www.ssb.no/a/histstat/nos/nos_xi_146.pdf) (Population census December 1, 1950, Second volume, Population by sex, age, and marital status ...), Tabeller p. 2.] Data for 1960 from Folketellingen 1960, Hefte 2. [Folkemengden etter kjønn, alder og ekteskapelig status](https://www.ssb.no/a/histstat/nos/nos_xii_117.pdf). Data for 1970 from Statistics Norway (1971), [*Folkemengden etter alder og ekteskapelig status 31. desember 1970*](https://www.ssb.no/a/histstat/nos/nos_a448.pdf) (Population by age and marital status 31 December 1970), pp. 24-25. -->
<p>HMD cites Borgan, J-K. (1983). Kohort-dodeligheten i Norge 1846-1980. Central Bureau of Statistics of Norway. [as cited in the HMD; date of data given as 16-Mar-2011.</p>
<p><strong>IMR stats</strong> Use IHS 1876-1970.</p>
1968 Hist Stats pp45-46 has IMR annually from 1836. But 1961 study authored by Backer (former Chief of Pop Division or such) indicates that 1876 forward are reliable/valid. And 1978 Hist Stats p53 has 5-yr averages starting 1876 (not before). 1961 publication identifies likely errors in counts of miscarriages, stillbirths, and early-dead infants until the 1870s; and identifies 1876 as start of good data (in terms of stillborn vs early-dying). See below.<br />
<p>
I dismiss HMD because HMD births data has m/f 106.00 for 1847-1915, except 1907 is 105.9948 – I’m surprised they didn’t tweak m or f by 1 …
</p>
<p>Ji calculated IMR via births and U1 deaths – but the results are almost identical to those in IHS – which is accesible to others.</p>
<p>
Online data has births from 1735 and U1 deaths from 1836 in <a href="https://www.ssb.no/a/histstat/tabeller/3-13.html#">3.13 Folkemengde, fødte, døde, ekteskap, flyttinger og folketilvekst</a> <br>Population, births, deaths, marriages, relocations and population growth
</p>
<p>
Hist Stats don’t give IMR by sex. <a href="https://www.ssb.no/a/histstat/aarbok/"><strong>Yearbooks</strong></a> have births & U1 deaths by sex, but be careful b/c they get revised over time (so early editions may be erroneous). E.g. 1882 YrBk has births & u1 deaths for 1871-1880; 1885/86 YrBk has births & u1 deaths for 1878-1884; 1890 1884-1888 1893 1887-1891 etc (see spreadsheet) 1902 1898-1900 plus 5yr avgs 1871-75, … 1896-1900 (pdf 44); 1903 nothing new; 1905 1899-1903 inf deaths 1897-1903; 1911 YrBk births & inf deaths 1900-09; 1922 YrBk 1900-1919 (also 1917 has 1901-1915); slight changes from 1911, 1905 entries;<br />
1925 1900-1921 –but later birth totals not by sex don’t match totals in table by sex ; 1948 Hist Stats has 5yr avg 1891 forward<br />
<p>
<p>Ji finds one Stats Norway publication with IMR rates before 1871: <a href="https://www.ssb.no/a/histstat/sos/sos_010.pdf">Dødeligheten og dens årsaker i Norge 1856-1955</a> (TREND OF MORTALITY AND CAUSES OF DEATH IN NORWAY 1856 -1955, authored by "Julie E. Backer, former chief of the Population Statistics Division, Central Bureau of Statistics of Norway).<br />
This reports has 5yr avgs 1836-40 onward, for IMR and stillborn rates.<br />
Chapter IV.<br />
Table 20. Stillbirth rate and infant mortality rate 1836—1955 presents 5-yr averages of IMR.<br />
Table 21. Perinatal mortality and infant mortality rates 1876—1955 57</p>
<p>p36 Ch2 Grunnlaget for dødelighetsstatistikken i Norge / The basis for mortality statistics in Norway.</p>
<p>vital stats (marr/bith/death) reg starts in 1685, with Priests.<br />
The registration of deaths with us has probably always been fairly complete,</p>
<p>Siden 1797 er dødfødte barn blitt meldt til sokneprestene, men helt fram til 1870-årene var registreringen av disse mindre tilfredsstillende. Det samme gjelder for levende fødte barn som var døde like etter fødselen.<br />
<em>Since 1797, stillborn children have been reported to the parish priests, but until then In the 1870s, the registration of these was less satisfactory. The same goes for for live-born children who had died shortly after birth.</em></p>
<p>Dette førte til at tallet på registrerte levende fødte og døde barn ble for lavt og tallet på dødfødte for høyt. De gjeldende bestemmelser om hva en skulle forstå med et levende og dødfødt barn ble imidlertid stadig innskjerpet overfor jordmødrene, og fra 1876 kan en gå ut fra at de tall som står oppført i den offisielle statistikk stort sett gir et riktig uttrykk for forholdet. <em>This led to the number of registered live births and dead children being too low and the number of stillbirths too high. However, the current provisions on what to understand with a living and stillborn child were constantly tightened up for midwives, and from 1876 it can be assumed that the figures listed in the official statistics largely give a correct expression of the relationship.</em></p>
<p>1866 summary lists were replaced by transcripts of the church books</p>
<p>p37 Starting with 1866, annual overviews of births, marriages, deaths in the resident population.</p>
<p>LATER, assertion that IMR declined in 1840s and 1850s: Den samlede dødelighet før og under fødselen og i første år etter denne var meget høy i slutten av 1830-årene, men falt så sterkt i de to følgende tiårsperioder og var relativt gunstig i 1856—60.</p>
<p>The overall mortality before and during birth and in the first year after this was very high in the late 1830s, but fell so strongly in the two following ten-year periods and was relatively favorable in 1856-60.</p>
<p><a href="https://www.ssb.no/a/histstat/sos/sos_017.pdf">Dødeligheten blant spedbarn i Norge 1901-1963</a> IMR 5yr averages, 1901-1905 … 1956-60, 1961-63 Also <a href="https://www.ssb.no/a/publikasjoner/pdf/sa94/sa94.pdf">public in Norweg re: mort</a> has some graphs re IMR, e.g. pdf44</p>
<p><a href="https://www.ssb.no/a/histstat/aarbok/1880.pdf">Statistisk årbok 1880</a> (1880 yearbook) ægtevielser marriages in 1876 livebirths m,f,tot 1870-76 pdf29 p21 u1 deaths m,f,tot 1870-76 p22 (6,236 in 1876; p23 born in 1876 died in 1876 4,238; born 1875 died in 1876 3,219)<br />
Antal utvandrere number of emigrants</p>
<p><a href="https://www.ssb.no/a/histstat/aarbok/1885-1886.pdf">YrBk 1885-86</a> p10 refers to pop by age 1875 then 1856-84 p19 births p20 sstillb deaths</p>
<p><a href="https://www.ssb.no/a/histstat/aarbok/1925.pdf">1925</a> p25 Table 22 has IMR 1901-1923 p22 births</p>
<p>
1994 YrBk reports u6?
</p>
<p><a href="https://www.ssb.no/a/en/histstat/aarbok/2000_en.pdf">Statistical Yearbook of Norway 2000</a> Includes historical statistics and discussion, including "Nearly all statistics are revised, and nearly every revision means that comparisons of data from one year to another cannot be made without reservation. In notes to the tables, attention has been called to the substance of some of these revisions and how they have affected the data. For more information readers are referred to the text of Statistical Survey 1948, Historical Statistics 1968 and Historical Statistics 1994 (<a href="http:/Mww.ssb.no/historisk/" class="uri">http:/Mww.ssb.no/historisk/</a> .).<br />
p67 provides dates of censuses, for us: 1845/46 1855/56 1865/66 31Dec (1945,55,65,75,90); 3Dec (1900,46); 1Dec (1910,20,30,50); 1Nov (1960,70,80); 3Nov (1990)<br />
p83 has u6 by sex every 5 yrs from 1961Jan1 to 2000. p123 has IMR 5yr avg 1876-95, annually 1988-96.</p>
<p><a href="https://www.ssb.no/a/histstat/tabeller/3-6-en.html">U7 populations</a></p>
<p>Historical Statistics has various years, including 1994 1968 1948 1948 version has u5 pops 1865 1875 1900 1910 1920 1930 1940</p>
<p><a href="https://www.ssb.no/a/histstat/publikasjoner/histemne-02.html#P538_17722">2. Befolkning. Helseforhold (Population. Health)</a></p>
<p>HISTORISKE TABELLER OVER FOLKEMENGDE, GIFTERMAL, OG DODSFALL](<a href="https://www.ssb.no/a/histstat/nos/nos_a986.pdf" class="uri">https://www.ssb.no/a/histstat/nos/nos_a986.pdf</a>) Historical Tables on Population Marriages and Deaths 1911-1976 — based on 1911 entries, this has the HMD value offset by 1 year. The 1911 value here (end of 1911) is the HMD’s 1921 value (start of year).</p>
<p>Online data: Historik statistikk <a href="https://www.ssb.no/a/histstat/tabeller/3-3-en.html">3.3 Resident population, by sex, marital status and age</a> gives some resident population data, slightly different from (HMD and Norges Folk).</p>
<p><a href="https://www.ssb.no/a/histstat/">Historisk statistikk</a><br />
Mitchell reports IMR for Norway from 1786; but I cannot find those in the sources he cites (too broad a set for me to get through and translate). We will use the HMD time frame, 1846 forward.</p>
<p>Statistics Norway <a href="https://www.ssb.no/a/en/histstat/">Historical Statistics</a> .<br />
<a href="https://www.ssb.no/a/english/histstat/publications/">Historical publications 1828-1996</a> list all statistical publications by subject with links. That in turn groups the pubs as <a href="https://www.ssb.no/a/histstat/publikasjoner/histemne-02.html">1828-1976</a> and <a href="https://www.ssb.no/a/english/histstat/publications/ereg77-96_en.html#02">1977-1996</a> . The latter has two with pre-20th C items: the censuses of 1769 and 1801.</p>
<p><a href="https://www.ssb.no/a/histstat/hs1978/hs1978.pdf">HS 1978</a> and 1968 – have 5year average IMR; Mitchell publishes annual IMR values (source seems to be (p117) "official publications noted on p xv:)</p>
<p>FROM Stat Norway:</p>
<pre><code> Statistical survey/Historical statistics is a series of survey publications of historical time series published by Statistics Norway. Until the 1948 edition the publications were in Norwegian and French, thereafter in Norwegian and English. CR The historical time series date as far back as it has been possible to give comparable figures. The publications are organized by subject and each chapter starts with an overview of the statistical sources and with a description of development trends. CR Editions: 1994 | 1978 | 1968 | 1958 | 1948 CR Note: The editions from 1978 and 1968 are more extensive than the 1994 edition.</code></pre>
<p><a href="https://www.ssb.no/a/histstat/hs1978/hs1978.pdf">1978</a></p>
<p>Drake <a href="https://archive.org/details/populationsociet0000drak">Population and Society in Norway</a> p94 Table 4.14 shows (for year 1832-38) inland IMR rates between 97 and 122; coastal rates between 162 and 191.</p>
</div>
<div id="finland" class="section level3">
<h3>Finland</h3>
<p>Use HMD births and u1 deaths; they match Mitchell IMR for 1878 & 1879. <a href="https://www.doria.fi/handle/10024/67152/browse?type=dateissued">Statistical Yearbook of Finland</a> (Suomen tilastollinen vuosikirja) runs from 1879.<br />
Might use Mitchell for IMR, or HMD u1 deaths & u1 pop match Mitchell IMR for 1878 & 1879. HMD has births 1865-2019; deaths by yearly-age run from 1878 – as do u1 death rates. Mitchell has IMR from 1866 … Mitchell’s U5 populations do not match HMD (series 1), but they match HMD series 2;</p>
<p>IHS has IMR starting 1866 – very volatile (even w/o 1868’s 392: 1877-80 161 190 138 167 )</p>
<p><a name="AUSNZsect"></a></p>
</div>
<div id="australasia" class="section level3">
<h3>Australasia</h3>
<div id="new-zealand-nzl" class="section level4">
<h4>New Zealand NZL</h4>
<p>u5 populations by sex.</p>
<p>We use 1867, 1874, 1881, … 1864, 1867, 1871, 1874, 1878, 1881: <a href="https://www3.stats.govt.nz/historic_publications/1881-census/1881-results-census.html#idchapter_1_92910">Results of a census of the colony of New Zealand, taken for the night of the 3rd of April, 1881</a>, Chapter 28, Table 1 ("Showing the Increases of Persons … at different Ages … the various censuses … 1864 … 1881).</p>
<p>1881, 1886, 1891, 1896, 1901, 1906, 1911, 1916: Results of a census of the Dominion of New Zealand … 1916, <a href="https://babel.hathitrust.org/cgi/pt?id=uc1.c2991401&view=page&seq=13&skin=2021">Part II Ages</a>, p. 1.</p>
<p><a href="http://infoshare.stats.govt.nz/infoshare/SelectVariables.aspx?pxID=d7395c5c-e0e0-47bc-8747-9ec8360322d6">pop data</a> with “discontinued data” selected – this has 1936 onward, all or excl Maori; but IMR includes Maori as of 1925ish</p>
<p>IMR: 1862-1945 ex-Maori 1947-1971 incl Maori (NZ VS)</p>
<p>Alternative sources:</p>
<p>1864, 1867, 1871, 1874 <a href="https://www3.stats.govt.nz/historic_publications/1874-census/1874-results-census.html#idchapter_1_38615">Results of a Census of the Colony of New Zealand … 1874</a> Chapter 5, Table 1 ("Showing the Increases of Persons … at different ages … the various censuses … 1864 … 1874),</p>
<p>1867, 1871: <a href="https://babel.hathitrust.org/cgi/pt?id=nyp.33433109911655&view=page&seq=23&skin=2021">Results of a Census of New Zealand … 1871</a>, page xvii.</p>
<p><em>1886</em>, <em>1891</em> in Ch 19 of 1891 Report<br />
<em>1896</em>, <em>1901</em> in Ch 17 of 1901 Results<br />
1896, 1901, 1906, 1911* in Ch 52 of 1911 Results (inet archive & downloaded)<br />
1886, 1896, 1906, <em>1916</em> in Ch 24 of 1916 Report.<br />
Proportions by age for males and females 1867, 1871, 1874, 1878, 1881, 1886, 1891, 1896, 1901, 1906, 1911, 1916 in Ch 24 of <a href="https://www3.stats.govt.nz/historic_publications/1916-census/Report%20on%20Results%20of%20Census%201916/1916-report-results-census%20.html#idchapter_1_20399">1916 census</a></p>
<p>Ji thought there were u2 and u5 counts for 1881 through 1916 (censuses at 5yr interval) in a 1916 volume. Seems only u5? in ages part 2</p>
<p>– the easily-found digitized 1916 census is overview only. BEWARE OF wasting time with 1916 census Report <a href="https://www3.stats.govt.nz/historic_publications/1916-census/Report%20on%20Results%20of%20Census%201916/1916-report-results-census%20.html?_ga=2.105906122.859603122.1632398281-861795157.1632395815">condensed form</a> Preface. THIS volume gives in condensed form, with comments, the principal results of the New Zealand population census of 1916. Detailed results have already been published in twelve parts and five appendices, as under:— Population May, 1918. Ages July, 1918. Birthplaces and Length of Residence in New Zealand Sept., 1918. Religions Aug., 1918. Education Nov., 1918. Infirmity Nov., 1918. Conjugal Condition Nov., 1918. Fertility Sept. 1919. Occupations May, 1919. Aliens Feb., 1919. Dwellings June, 1919. Households: June, 1920. Appendices: (a.) Maori Census May, 1918. May, 1918. (b.) Census of Cook and other Pacific Islands May, 1918. (c.) Libraries and Religious Denominations May, 1918. (d.) Industrial Manufacture May, 1918. (e.) Poultry and Bees Oct., 1918.<br />
1916 census<br />
<a href="https://babel.hathitrust.org/cgi/pt?id=uc1.c2991400&view=1up&seq=5&skin=2021">Vol 1</a> has 2 pdfs per page;<br />
<a href="https://babel.hathitrust.org/cgi/pt?id=uc1.c2991401&view=page&seq=7&skin=2021">Part II Ages</a> <a href="https://babel.hathitrust.org/cgi/pt?id=nnc1.cu08551570&view=1up&seq=94&skin=2021&q1=under%205">Part II Ages</a> is pdf 94 on. <a href="https://babel.hathitrust.org/cgi/pt?id=nnc1.cu08551588&view=1up&seq=9&skin=2021">Appendices A-D</a></p>
<p>Listing of NZ stats-books online, from <a href="https://onlinebooks.library.upenn.edu/webbin/book/lookupname?key=New%20Zealand%2E%20Registrar%2DGeneral%27s%20Office">UPenn</a></p>
<p><a href="http://infoshare.stats.govt.nz/infoshare/SelectVariables.aspx?pxID=766e0a03-8df4-4b06-98f6-9b372a266fbc">Stats NZ Inforshare, Long-term data series, Infant mortality rates - DMMA</a></p>
<p>IMR was published in the NZ official year books; most have multiple years from which we can cobble together a series for total/non-maori/maori. Name changes from European to Non-maori. E.g 1950 has 1939-1949, 1957 has 1937-1956, 1941 reports non-maori only, as IMR, for 1939 & 1940. 1890 Handbook 1881-90; 1899 1883-1892; 1893, 1894 inf mort in 4 cities</p>
<p>Excel spreadsheet at Stats NZ Store House, <a href="https://cdm20045.contentdm.oclc.org/digital/collection/p20045coll35/id/220/rec/1">A2.7 Infant mortality rate and infant mortality number</a></p>
<p>Long-term data series / About this collection / This collection contains datasets that are no longer on the Stats NZ website.<br />
The long-term data series were collected by staff at Treasury to provide a general reference source of information on demographic, social, and economic trends in New Zealand. The series cover varying periods of time between 1840 and 2004. They are available as downloadable Excel spreadsheets (Excel 2002 format), and each file contains one data worksheet and one documentation worksheet.<br />
18 spreadsheets from search term Population in LTDS: A1.1 Total Pop; A1.4 North and South ISland pop; A1.6 Pop by Aage and sex; A1.2 Rural and urban population; A1.3 Maori and Pac Isl Pop; A2.8 Nat Increase; A1.5 Pop main cities and towns; A3.3 Assisted immigration; A2.4 deaths rates and numbers; A2.3 Birth rates and birth nums; a3.4 immig expendit ; a2.2 Divorce; a3.1 immig emig net; a2.5 Life exp; a2.1 marriage; a3.2 international visitors; a2.6 fertility rates; a2.7 imr</p>
<p><a href="https://cdm20045.contentdm.oclc.org/digital/collection/p20045coll35/search/searchterm/long-term%20data%20series!Population/field/subjec!subjec/mode/exact!exact/conn/and!and">browsing items in Long-term data series</a></p>
<p>Infoshare search results for ‘ltds’ has 17 results, 2 with imr –</p>
<p>9 Infant mortality rates - DMMA (Annual-Dec) Last updated: 02 April 2012 10:45am Table path: Long-term data series-term data series - LTD Use with caution<br />
Select variables Select series identifiers 10 Infant mortality numbers - VSDA (Annual-Dec) Last updated: 02 April 2012 10:45am Table path: Long-term data series Long-term data series - LTD Use with caution<br />
Select variables Select series identifiers</p>
<p>Note, via HMD, Ji finds claims of underenumeration of births, with uncounted neonatal deaths ommitted from births and deaths. Correction might raise IMR from 100 to 116 in circa 1879.</p>
<p>births<br />
1855 to 1916 in <a href="https://www3.stats.govt.nz/historic_publications/1916-census/Report%20on%20Results%20of%20Census%201916/1916-report-results-census%20.html#idsect1_1_16061">Chapter 20</a> of 1916 Census.</p>
<p><a href="https://www3.stats.govt.nz/historic_publications/"><strong><em>New Zealand</em></strong></a> <a href="https://www3.stats.govt.nz/historic_publications/1916-census/Report%20on%20Results%20of%20Census%201916/1916-report-results-census%20.html#idchapter_1_20399">1916</a> has u2 and u5 counts for 1881 through 1916 (censuses at 5yr interval)</p>
<p>New Zealand <a href="https://www.stats.govt.nz/indicators-and-snapshots/digitised-collections/yearbook-collection-18932012/">Yearbook collection: 1893–2012</a><br />
<a href="https://web.archive.org/web/20120325003954/http://www.stats.govt.nz/yearbooks">Archived version</a></p>
<p>1920 NZOYb no age data; 1921-22 reports on 1916 census; 1923 some imr data; no SR data: 1924 (some 1921 census data), 1925, 1926, 1927, 1928, 1929, 1930, 1931, 1932, 1933, 1934, 1935. AGES 1936 has 1926 u5 (also estimates for 1935, extrap from 1926 via vital stats – not census, we don’t use). NOT: 1937x 1938x 1939x 1940x, 1941no (1940 ages extrapolated from 1936 census)</p>
<p><a href="https://catalog.hathitrust.org/Record/100209810">1921 census report</a> hard copy at Columbia, looks like p82 has Age-Distribution in 1921</p>
<p><a href="https://catalog.hathitrust.org/Record/100615639">1871 Results of a census of New Zealand …</a> full view available. The catalog page has links to <a href="https://catalog.hathitrust.org/Record/008430840">1891 full</a> 1901 <a href="https://www3.stats.govt.nz/historic_publications/1901-census/1901-results-census/1901-results-census.html">digitized</a> at Stats NZ) 1916 1911 1916 1921</p>
<p><a href="https://www.stats.govt.nz/census/previous-censuses/historical-census-collection/">Historical census collection</a> for 1871, 1874, 1878, 1881, 1886, 1891, 1896, 1901, 1906, 1911, 1916.</p>
<H4>
HMD on New Zealand
</H4>
<p>HMD suggests problems with NZ data.<br />
Non-Maori <a href="file:///home/jim/Downloads/firefox.tmp/NZL_NMcom-1.pdf">Background and Documentation</a>. “ABOUT MORTALITY DATA FOR NEW ZEALAND NON-MĀORI”. By Domantas Jasilionis and Dmitri Jdanov Last updated: 07 December 2017.<br />
Important note: Due to recently discovered numerous inconsistencies in the historical data for Non-Māori, we restricted previously published series of Non-Māori data to the period 1901 onwards (for more details see the Background and Documentation file for New Zealand).</p>
<p>New Zealand, Total Population. <a href="https://mortality.org/hmd/NZL_NP/InputDB/NZL_NPcom.pdf">Background and Documentation</a> links to “ABOUT MORTALITY DATA FOR NEW ZEALAND”. By Domantas Jasilionis, Rembrandt Scholz, and Dmitri Jdanov Last updated: 07 December 2017<br />
Important note: the population data for New Zealand are complicated by different levels of data quality by ethnic group (Māori and Non-Māori). Due to recently discovered numerous inconsistencies in the early historical data for Non-Māori, we restricted previously published series of Non-Māori data to the period 1901 onwards (for more details see the ‘Data Quality Issues’ section below). Starting in 1901, data for the Non-Māori population meet at least minimal data quality standards.</p>
<p>p4 There is some evidence that death registration was incomplete until the beginning of the 1960s. First of all, concerning Māori deaths, … possible underestimation at older ages prior to the 1960s … In addition, Non-Māori neonatal deaths were seriously underestimated at least until the 1910s (by about 18% in 1876). NO SOURCE GIVEN p4 Due to very serious deficiencies of data on deaths before 1901, the series of Non-Māori mortality estimates begin in the year 1901. However, the user should be aware that the HMD estimates for the Non-Māori for the periods 1901-1921 and 1939-1947 should be used with extra caution (see the ‘Data Quality Issues’ section below).<br />
p7 Historical data on Non-Māori births are also problematic, especially before the 1910s (Statistics New Zealand, 2006). First, there was an underestimation of neonatal deaths, which was quite significant (about 18% in 1876) until the beginning of the 20th century. Second, some Māori births were registered as Non-Māori. Last, births of Non-Māori who lived among Māori were also generally unrecorded (Statistics New Zealand, 2006).</p>
<p>p10 There is evidence that New Zealand censuses conducted before 1926 were affected by undercount and age misreporting problems (Pool, 1973). Pool (1973 Pop Studies), “Estimates of New Zealand Maori vital rates from the mid-nineteenth century to World War I”. Page 121: “From 1911 on ages were published in quinquennial groups, but the I9I6 Census was noted to be poor both in terms of coverage and age-reporting, while by 1921 the ‘half-caste’ rule mentioned above was becoming unworkable.”<br />
Very strange to challenge non-Maori census data via an article seeking to estimate Maori vital rates.</p>
<p>HMD SOURCES refers to “Census Counts” Bloomfield, Gerald T. (1984). Tables II.5-II.6. Pp. 47-51 in: New Zealand, A Handbook of Historical Statistics. Reference publications in international statistics 1984. Boston, MA: Hall and Co. By sex and age group for 1858, 1861, 1864, 1867, 1871, 1874, 1878, 1881, 1886, 1891, 1896, 1901, 1906, 1911, 1916, 1921, and 1926.</p>
<p>Non-HMD:<br />
Cited by HMD, Statistics New Zealand (2006), <a href="http://globalag.igc.org/elderrights/world/2007/survivalnewzealand.pdf">“A History of Survival in New Zealand: Cohort life tables 1876–2004”</a><br />
p9 Non-Mäori births understated when neonatal deaths occurred, probably until 1910s. p12 2.1.4 Non-Mäori live births, 1876–1935 Although the birth registration system is believed to have provided an acceptable level of non-Mäori coverage, some adjustments to registration data were needed to estimate the number of non-Mäori live births that actually occurred in each year. The most signifi adjustment was the addition of unregistered births when neonatal death occurred. The under-registration of neonatal deaths in New Zealand is recognised (eg Pool 1982, 1985), although quantifying the extent of registration is more difficult. The distribution of infant deaths by age (days at death) suggests under-registration of non-Mäori neonatal deaths before the 1910s and Mäori neonatal deaths before the 1960s. Based on mortality patterns at that time, roughly 80 percent of these unregistered neonatal deaths were likely to have occurred within the fi rst day of life. For infants who died soon after birth, it is likely that if their death was unregistered then their birth was unregistered also. The adjustments to neonatal deaths (see Section 2.2.4) were therefore applied to births. This corresponds to an increase in non-Mäori births of less than 2 percent in 1876–1911.<br />
p21 [births] Maximum of 320 added in 1879. 1921 census has births – implication is IMR of 100 raised to 116</p>
<p>older version (maybe HMD)? <a href="https://www.demogr.mpg.de/publications/files/2172_1150381700_1_MortDataNewZealand.pdf">ABOUT MORTALITY DATA FOR NEW ZEALAND</a> By Domantas Jasilionis Last updated: 06 October 2005 Rembrandt Scholz Dmitri Jdanov<br />
p2 Although the completeness of Māori data has improved, data quality problems remain important (see the section on “Data quality issues”). Furthermore, starting in 1962, these problems may have also been relevant for the Non-Māori data1<br />
p5 Historical population data on Non-Māori (prior 1930s) seem to have data quality problems at older ages (see section on ”Data quality issues”).<br />
p6 Due to poor quality of Māori statistics, births may be underreported or misreported until 1961<br />
p7 DATA QUALITY ISSUES<br />
1. Quality of data on population counts. There is evidence that New Zealand censuses conducted before 1926 are affected by undercount and age misreporting problems (Pool, 1973). Due to substantial under-reporting of vital events, the quality of Māori population estimates are considered less reliable until 1936, or perhaps even 1961 (Statistics New Zealand, 2004a).<br />
Our own estimates suggest serious under-reporting of deaths at older ages among the Māori and Non-Māori populations<br />
p8 3. Problems with Non-Māori old age mortality estimates before 1902. Prior to 1902, our estimated death rates at older ages are implausibly low</p>
<p>OTHER: Seems not useful: source book of population data : New Zealand, non-Maori population, 1921-1967 / by Shailendra K. Jain.</p>
</div>
<div id="australia" class="section level4">
<h4>Australia</h4>
<p>Australia under-5 populations by sex: census values, populations “as recorded” 1901-1961; 1966 & 1971 census allocated “unspecified” ages to ages based on responses to other questions, so the values (“adjusted” rather than pure census) should be fine for us.</p>
<p>1901 April</p>
<p>Slightly different values are in ABD 3105.0.65.001 Table 2.1: “Population, age and sex, Australia, 30 June, 1901 onwards” (Released at 11.30am (Canberra time) 18 April 2019); downloaded 27 June 2021 from 3105.0.65.001 Australian Historical Population Statistics, 2019.</p>
<h3>
<a href="https://www.abs.gov.au/AUSSTATS/[email protected]/ViewContent?readform&view=ProductsbyCatalogue&Action=Expand&Num=2.2">Census volumes at ABS</a>
</h3>
<p><a href="https://www.abs.gov.au/methodologies/historical-population-methodology/2016">Dates</a> of censuses<br />
1871 Apr 2 (QuLd Sep) 1881 Apr 3, 1891 Apr 5, 1901 31 Mar; April 1-3 for 1911, 1921. 1936 forward June 30.</p>
<p><a href="https://dataverse.ada.edu.au/file.xhtml?fileId=15310&version=4.1">HCCDA</a> has wide range of AUS census data.</p>
1933 census offers populations “as recorded” by age/sex for 1901, 1911, 1921, 1933 1901 is almost the same as the ABS; 1911 ABS is the “as recorded” census value; 1921 almost the same (ABS 103.71 Cen 103.68)<br />
1933 is non-negligible: ABS 104.85 Cen 102.29 – deviation is 0.54%<br />
<p>
1947 census offers recorded age/sex populations 1901 to 1947;<br />
1954 census has
</p>
<p>
1961 Bull 25 p2 The figures for five-year age groups contaim:d. herein are a r3vision of and supersede the f,’L’ouped age data appearing in p:revious bUlletins. The single age data are pUblished for the first tL:le
</p>
<p>
1966 5yr ages shows 1954 1961 1966 unspec ages were allocated (various discussions suggest well enough for us)
</p>
<p>1971 census includes aboriginals, for the first time; Bulletin 3 has u15, then single year ages.<br />
1976, 1981 census pubs don’t seem to add data for us (1981 confirms 1971 u5 total). 1976 and others have % distributions …</p>
<p>HMD has u5 counts and IMR date from 1921; we use ABS data instead (basically the same for 1921 onward)</p>
<div id="imr-for-aus" class="section level5">
<h5>IMR for AUS</h5>
<p>IMR 1901-1991 from Australian Bureau of Statistics</p>
<p>For AUS IMR 1870-1991 (1870-1901 AHS; 1901-1991 ABS; 1901 values same in both); Before 1870, we have only 1 point: NSW 1861 IMR & U5 (IMR 89.2 Ln(f/m) = -1.42% (m/f=101.4) )</p>
<p>1901 onward is straightfoward, with the data in <a href="https://www.abs.gov.au/statistics/people/population/historical-population/latest-release">ABS spreadsheets</a> (3105.0.65.001 Australian Historical Population Statistics, 2019).<br />
U5 pops from <a href="https://www.abs.gov.au/statistics/people/population/historical-population/2016/3105065001ds0002_2019.xls">2. Population Age and Sex Structure</a> Table 2.1 has AUS u5 f/m pops 1901, 1911, 1921-2019. Various other tables give state-level U5 by sex from 1901 onwards (NSW, Vic, Qld, SA, WA, Tas). Varying coverage of pre-1901 (see below.)<br />
IMR data from Table 5.4 in <a href="https://www.abs.gov.au/statistics/people/population/historical-population/2016/3105065001ds0005_2019.xls">5. Deaths</a>. This provides annual IMR, Australia and by states and territories (3105…ds0005_2019.xls) for 1901 forward.</p>
<p>We may also want to use <a href="https://www.abs.gov.au/statistics/people/population/historical-population/2016/3105065001ds0004_2019.xls">4. Births</a> in Table 4.1 Births registered by sex, states and territories, 1824 onwards Births (m,f) for AUS and by state from 1860 or earlier.</p>
<p>For data before 1901, we mostly refer to Vamplew (1987) <em>Australians: Historical Statistics.</em><br />
Ch 2 (Population) includes census data with u5 f/m pops for AUS and states for census years 1861 to 1901; also<br />
1854, 1857 Victoria; 1856 New South Wales (u4 populations). If additional regional data is needed, we should check the ABS Tables above (Population Age and Sex Structure) – but I expect those are the same.</p>
<p>Ch 3 has IMR nationally and by states from 1870; also infant deaths. 1921 on has some sex-specific data.<br />
Ch 18 (Health & Medicine) has NSW death rates for u1 male and female for census years 1861 to 1891.</p>
<p>If narrower age breakdowns are desired, for state-level data 1911 onward, use <a href="https://www.abs.gov.au/AUSSTATS/[email protected]/ViewContent?readform&view=ProductsbyCatalogue&Action=Expand&Num=2.2">census publications 1901 onward</a><br />
For 1911, use census values “recorded” for regions; the “recorded” values for AUS are those in ABS 3105 Table 2.1 And so we don’t use “unadjusted” (unknown ages added in, unsmoothed), nor the “adjusted” which are smoothed in some fashion. We rely on ABS 3105 Table 2.1 and our presumption that recorded is best.</p>
<p>Notes on 1911 <em>Ages</em> “Number of Males recorded at each Age” and same for females, by state; also u5 f/m pops for 1901 and 1911. Also for AUS f/m pops by single-year of age in 1891, 1901, 1911 (p15); described as “unadjusted” but unspecified have been added in pro rata (“but the figures have not been smoothed” Table 7 p15pdf15).<br />
Also for AUS, f/m U5 pops for 1881, 1891, 1901, 1911. 1911 U5m 268,073 – same note as above, uspec added in<br />
Also “adjusted number” at each age in 1911. Consider age 0:<br />
males recorded NSW 22,939 AUS 59,102 (Tab 1, p5) But with unspec Tab 7 1911 AUS male u1 59,248<br />
adjusted males NSW 22,750 AUS 58,648 (Tab 9, p17)<br />
My older notes said: Decennial censuses benchmark 1881, 1891, 1901, 1911 are in <a href="https://www.abs.gov.au/AUSSTATS/[email protected]/DetailsPage/2112.01911?OpenDocument">1911 census</a> Ages volume has “adjusted” numbers by age/sex for 1881 1891 1901 1911 (pdf p32) Vol1 discussion of smoothing has figures suggesting not much done to 0-4 group.</p>
<p>1911 Table 24 has age/sex for cities (metropolises)</p>
<p><a href="https://onlinelibrary.wiley.com/doi/epdf/10.1111/j.1467-842X.1998.tb01141.x">Taylor et al 1998</a> p28 says "Annual infant deaths … for Australia are recorded back to 1870. FN 4,5,8,9</p>
<p>4 is Van Plew ed. <a href="https://socialsciences.org.au/australians-historical-statistics/">Australians - Historical Statistics</a> Ch 2 Population series 44-54 Victoria 1854, 1857 by age & gender – maybe 30k males u5 in 1857 (with 60k kids, 75% CI is +/- 1.0 )</p>
<p>5 is Cumpston JHL. Health and disease in Australia: a history. LCumpston JHL. Health and disease in Australia: a history. Limited search via google books …</p>
<p>9 is <a href="https://openresearch-repository.anu.edu.au/handle/1885/117391">P Mein Smith thesis</a> link down Sun 27 Jun 912.</p>
<p>ABS has Coghlan’s <a href="https://www.abs.gov.au/AUSSTATS/[email protected]/second+level+view?ReadForm&prodno=1398.0&viewtitle=A%20Statistical%20Account%20of%20the%20Seven%20Colonies%20of%20Australasia~1892~Previous~22/04/1892&&tabname=Past%20Future%20Issues&prodno=1398.0&issue=1892&num=&view=&">full set of volumes</a> Past releases Tab</p>
<p>Limited data for 1899-1900 in <a href="https://www.abs.gov.au/AUSSTATS/[email protected]/DetailsPage/1398.01899-1900?OpenDocument">issue8 1899-1900 at ABS</a></p>
<p>Coghlan 1899-1900 p249 (pdf264) Population pdf271 1899 births by sex and state, and New Zealand. Later, total births by 5yr periods (could be useful to check HMD) But deaths are for 1898, data for ages 0 1 2 3 4 5-19 by sex pdf 277<br />
p272 whooping cough kills girls more than boys</p>
<p>Google.ca has some (or all?) volumes of Coghlan. E.g. <a href="https://books.google.ca/books/about/A_Statistical_Account_of_Australia_and_N.html?id=mmoZAAAAYAAJ&redir_esc=y">Coghlan v10 1902-03</a></p>
<p>Coghlan <a href="https://www.ausstats.abs.gov.au/ausstats/free.nsf/0/383F14EFC0D4D9E4CA257F60007C3D73/$File/18_13980_1903-04_Vital_Statistics.pdf">1903-04 Vital Stats</a> p177 births in 1903, by sex, for States, AUS, & NZ; p 184 deaths by age in 1903, for states, AUS, & NZ.</p>
<p><a href="https://www.abs.gov.au/AUSSTATS/[email protected]/DetailsPage/1309.21871?OpenDocument">Victoria 1871</a></p>
<p><a href="https://www.abs.gov.au/AUSSTATS/[email protected]/ViewContent?readform&view=ProductsbyReleaseDate&Action=Expand&Num=129.2" class="uri">https://www.abs.gov.au/AUSSTATS/[email protected]/ViewContent?readform&view=ProductsbyReleaseDate&Action=Expand&Num=129.2</a></p>
<p><a href="https://www.abs.gov.au/AUSSTATS/[email protected]/viewcontent?readform&view=ProductsbyReleaseDate&Action=expandview&num=1">items by date</a> Lots of Aussie datA</p>
<p>For interest, other sources include <a href="https://www.abs.gov.au/AUSSTATS/[email protected]/second+level+view?ReadForm&prodno=1301.0&viewtitle=Year%20Book%20Australia~2012~Latest~24/05/2012&&tabname=Past%20Future%20Issues&prodno=1301.0&issue=2012&num=&view=&">Yearbook Australia</a> annually 1908 onward</p>
<p>HMD <a href="https://www.mortality.org/hmd/AUS/InputDB/AUScom.pdf">on Australia data</a> says:</p>
<pre><code> Due to the legal requirements of the birth registration system established in the middle of the 19th century, data on births are considered to be complete and of good quality</code></pre>
<p>ABS page with <a href="https://www.abs.gov.au/ausstats/[email protected]/Products/F3AF616665E821A6CA2575D2001AA12E?opendocument">good overview of the censuses</a> as well as links to spreadsheets of data.</p>
<p><a name="SouAfr"></a></p>
</div>
</div>
</div>
<div id="south-africa" class="section level3">
<h3>South Africa</h3>
<p>wk4 has 1991 5yr populations, bl/wh/col/asian and cites hathi 30112054273765 – which on april15 2020 I cannot find …</p>
<p>u5 population data is lacking; we have 1904, 1911, 1918. IMR data is available for whites 1910-1990.</p>
<p>IMR “coloured” IHS starts with 1937 and 1937-1940 ranges 157-166 (with 1941 166, 1942 177) So we want SR data 1921 1931? 1941? 6th census 1936 vol II ages vol IX Bantu</p>
<p>Maybe Columbia has u5 pops in <a href="https://catalog.hathitrust.org/Record/009114310">Fourth census … 1926</a>; but 1931 seems not online. Expect we can get u5 and u2 pops from <a href="https://clio.columbia.edu/catalog/SCSB-7896259">Report with summaries (1933)</a> or <a href="https://clio.columbia.edu/catalog/2731375?counter=1">Fifth census … 1931</a>; same is <a href="https://catalog.hathitrust.org/Record/009127872">search-only for Jim at Hathi</a>.</p>
<p>Columbia Clio microform: South Africa–Census, 1865, 1904, 1911, 1918, 1921, 1916, 1931, 1936, 1941. <a href="https://clio.columbia.edu/catalog/10770950">1921</a> via Gale, 19th C COllections Online</p>
<p>1936 is more than vol 1 available? Should be, since it is on microfilm ZAN-T4817 Africa: South Africa 1926: no. 1-1936: no. 1 ADV REQUEST</p>
<p>Sixth census of the population of the Union of South Africa, enumerated 5th May 1936. Ages and marital condition of the Bantu Population / Sesde sensus van die bevolking van die Unie van Suid-Afrika, opgeneem 5 Mei 1936. Leeftye en huwelikstaat van die Bantoebevolking / Unie van Suid-Afrika. by South Africa. Office of Census and Statistics (1917-1951);</p>
<p>South Africa. Office of Census and Statistics. Sixth census of the population of the Union of South Africa, enumerated 5th May, 1936. = Sesde sensu Pretoria : Printed by the government printer, 1938 Schomburg Center - Research & Reference Sc+ 312-S (South Africa. Office of Census and Statistics. Sixth census) v. 6-7, 9</p>
<p><a href="https://clio.columbia.edu/catalog/SCSB-1076056">Columbia – Offsite at Princeton</a> Natives (Bantu) and other non-European races. [Microform] Subjects South Africa > Census, 1936.</p>
<p>UG12/42, Sixth Census of the Union of South Africa 1936, Volume IX Natives (Bantu) and Other Non-European Races (Government Printer, Pretoria, 1942), p xxv.<br />
UG50-’38, Sixth Census of the Union of South Africa 1936, Supplement to Volume IX Ages and Marital Condition of Bantu Population (Government Printer, Pretoria, 1938), p v.</p>
<p>International population census publications, region, Africa. Country, South Africa. <a href="https://clio.columbia.edu/catalog/SCSB-8778348">Census year(s), 1946, 1951, 1960</a> Seems to have 1946 no. 0-6 Seems to be at NYPL … OFFSITE - Request in Advance for use at Schwarzman Bldg - Microforms Rm 315</p>
<p><a href="http://www.scielo.org.za/scielo.php?script=sci_arttext&pid=S0018-229X2011000200001">Christopher 2011 <em>Historia</em></a> article with info on the Sou Afr censuses.<br />
Cape of Good Hope: 1865 1875 1891; Orange Free State 1880 1890; 1904 all 4 provinces, separately. 1911 1918 whites only 1921 full pop 1926 whites only 1931 whites only 1936 full pop 1946 full pop 1951 full pop 1960 full</p>
<p><a href="http://onlinebooks.library.upenn.edu/webbin/book/lookupname?key=South%20Africa%2E%20Office%20of%20Census%20and%20Statistics">UPenn online Sou Afr stats</a></p>
<p>Maybe 1938 Official year book of the Union and of Basutoland would have age/sex for sr5?</p>
<p>IGME 1974.5 IMR 90 1980 67 IHS 1974 18 116 1975 20 104 (4/5 B implies ~87) 1980 13 61 NOPE<br />
IMR for whites in IHS, 1910-1990. These are reported as integer values of rates per thousand; more precise values are found in the official yearbooks (Ji notice a few small discrepencies, but IHS is consistent with the more recent Yearbooks’ data).<br />
IMR for “colored” 1937-1990<br />
But IGME IMR are higher: 1980 67.01 while IHS w 13 col 61 …</p>
<p>u5 white populations (by sex) : we have 1904, 1911, 1918</p>
<p>Ouderdom – Age</p>
<p>Report 03-00-092016.pdf says IMR fell to 35 per 1000 in 2011-16 versus 45 in 1993-98 (DHS )</p>
<p>Columbia has [1970 census[(<a href="https://clio.columbia.edu/catalog/2520600" class="uri">https://clio.columbia.edu/catalog/2520600</a>)</p>
<p>Columbia U has <a href="https://clio.columbia.edu/catalog/10770950">1921 online</a>, 1926, 1931, 1936, 1941 are off-site at NYPL?;</p>
<p>First General Census of the Union of South Africa (1911) Census of the European or white races of the Union of South Africa, 1918<br />
Third census of the population of the Union of South Africa, enumerated 3rd May, 1921.<br />
Fourth census of the population of the Union of South Africa, 4th May, 1926. (Enumeration of Europeans only)<br />
Fifth census of the population of the union of South Africa enumerated 5th May, 1931.<br />
Sixth Census 1936; Later censuses of interest 1951, 1960, 1970.</p>
<p>Censuses listed in the <a href="https://books.openedition.org/irdeditions/1805?lang=en">OpenEdition book</a>: 1951, 1960, 1970, 1980, 1985, 1991, 1996, 2001 Bevolkingsensus 1985 / Population census 1985</p>
<p>Aug30 looked to add 1926 and 1931, but copyright nonsense makes it impractical. IHS has IMR data – so no need for a trip to NYPL for IMR data.</p>
<p>Columbia has various entries for <a href="https://clio.columbia.edu/catalog?commit=search&q=%22South+Africa+Census%2C+1911.%22&search_field=subject">1911 Census</a></p>
<p>I downloaded <a href="https://www.dropbox.com/s/rd2ghde839fq7in/Census_1911.pdf?dl=0">the 1911 census</a> from google books. pdf 243 Annexures to General Report Pretoria 1912</p>
<p>Census, 1911 … Reports <a href="https://hdl.handle.net/2027/njp.32101031665449">vol. 1 (report/Part 1-4)</a>. South Africa.<br />
241-334 Part 1 Population and Dwellings pdf 241 242 Census Tables, 1911 … show tables of pp 7-93<br />
335 Census 1911 Annexures to General Report, Part 2 337:Ages of the People 341p99 Afrik-language TOC 343p101 Part II Comparative Summmary under/over 15 346p104 Table IV Numbers re Age 21 (under/over) 348p106 proportions under/over 21, 15 352p110 Table VII Union and each Province, Proportions re Age 21 354p112 Table VIII Whites 0-4 5-9 etc 1911 1904 360p118 Table XII Orange F S, Ages 1911 1904 0-5 <strong>single year 1 to 5</strong> 362-367 Table XIII Ages Union, and by Provinee, Urban+Rural pdf362-367 <strong>single year 1-5</strong></p>
<p>368 Table XIV Proportions 374p132 Table XV proportions, by race<br />
380p138 Table XVI Urban, <strong>single year 1-5</strong> 144 Table XVII Proportions 392p150 TableXVIII proportions 396p154 Table XIX Numbers, single year, centres 2000 and more 402p160 Table XIX continued 408p166 TableXX RURAL 414p172 Table XXI rural proportions 420p178 Table XXII Proportions 424p182 Table XXIII Ages: Union, Provinces, Census Districts 440p198 Table XXIII continued 477- Census Tables Part III Education</p>
<p>Census of the Union of South Africa, <a href="https://catalog.hathitrust.org/Record/100615661">1911 search-only Hathi</a></p>
<p>Census of the European or white races of the Union of South Africa, <a href="https://catalog.hathitrust.org/Record/009676009">1918</a></p>
<p>1921 Third census of the population of the Union of South Africa – HATHI search-only f548p18 asiatics by age;</p>
<p><a href="https://catalog.hathitrust.org/Record/101697766">1926 census</a>, Third census of the population of the Union of South Africa, … South Africa. Part II Ages (Europeans) Part VIII a Natives b Coloured & Mixed c Asiatics 163Part3 341p1 372p32 occs & birthplaces</p>
<p>** Yearbooks **</p>
<p>Maybe SR5 data for census years will be found in this set of the <a href="https://catalog.hathitrust.org/Record/007119366">“Official year book” at Hathi</a>, which has various years from 1924 to 1960. Or in <a href="https://catalog.hathitrust.org/Record/009064515">this set</a> with various in the years 1917 to 1953.</p>
<p>Yearbooks 1919-61 are “Offsite” but requested/used at <a href="https://www.nypl.org/research/research-catalog/bib/cb3033381#">NYPL</a>. That entry explains “None published 1922, 1936, 1942-1945, 1947, 1951, 1958-1959. Some years combined.”</p>
<p>1964-66 on microfilm <a href="https://searchworks.stanford.edu/view/6789332">at Stanford</a> or <a href="https://clio.columbia.edu/catalog/834401">offsite at Columbia</a></p>
<p>1968-1995 is called Suid-Afrikaanse statistieke <a href="https://clio.columbia.edu/catalog/SCSB-8157364">e.g at Columbia/NYPL</a>, they have 1968-1974,1988-2009.</p>
<p>Js checked <a href="https://hdl.handle.net/2027/uc1.b3076166">1925 Yearbook</a>: IMR by “health year” vs calendar year; the former running July 1 to June 30. Bantu pop by sex u1 1-14 – too broad.</p>
<p>IMR from <a href="https://clio.columbia.edu/quicksearch?q=Official+year+book+of+the+Union+and+of+Basutoland&commit=Search">YearBooks</a>; they are online at Columbia University (search term= Official year book of the Union and of Basutoland ) Nos. 1-4 ; IMR 1924-1928 p932 of 1928; 1919 p209 ;</p>
<p><a href="https://books.google.ca/books?id=hNIzAQAAMAAJ">1922 Yearbook Vol 5</a> has rich data for 1910-1921. PDF p17 indicates that 1922 repeats and adds to the stats data in vols 1-4 (No. 1, 1917, has 1910-16; No. 5, 1921, has 1910-21).<br />
p157-59 Ages of the people, lots of u5 data for 1904, 1911, 1918.<br />
p158 urban/rural 1911 1918</p>
<p><a href="https://catalog.hathitrust.org/Record/008616578">maybe</a> Simkins & van Heyningen article seems to have leads</p>
<p>Dead-ends: Yearbook leads at this <a href="https://link.springer.com/chapter/10.1057/9780230271104_144">Springer link</a> <a href="https://www.gcis.gov.za/content/resourcecentre/sa-info/yearbook">2001-2020</a></p>
<p><strong><em>Natal</em></strong> 1891 Census – no IMR or birth data Table 4 age and sex 1894 Statistical Year Book G 8-9 some vital stats, with u5 pop and marriages, but not infant deaths,</p>
<p><strong><em>Good Hope</em></strong> <a href="https://babel.hathitrust.org/cgi/pt?id=uc1.l0074071200">1875 census</a> 54p47 age by sex No death data</p>
<p>Hathi has <a href="https://catalog.hathitrust.org/Record/100119047">Cape of Good Hope</a>: 1893 full view (also three search only 1902, 1907, 1908). They are available on Google Books <a href="https://books.google.ca/books?id=2NxCAQAAMAAJ">1905</a></p>
<p>Statistical Register of the Cape of Good Hope <a href="https://books.google.ca/books?id=2NxCAQAAMAAJ">for the year 1904</a> page v lists births by year 1895-1904 with text saying 1904 euro or white 9454 males and 9006 females; Malay 291 males and 293 females; Fingo, Kafir, Bechuanaland 10,661 males and 10,187 females; Mixed and other 8548 males and 8361 females. Colony proper (ex. Bechuanaland) 46,419 9006 maleEuro 8603 femEuro (9006 twice - stet) … The 46,419 are also shown for 1904 in the table of births.<br />
Page 47 lists births, as M F for Total/Euro/Not and Urban/Rural; also Totals 1904, 1903, 1902</p>
<p>1904, 1909 search only at Hathi</p>
<p><a href="https://babel.hathitrust.org/cgi/pt?id=nyp.33433062734938&view=1up&seq=9&skin=2021">1892</a> reports the 1891 census data u5 and single years <a href="https://babel.hathitrust.org/cgi/pt?id=nyp.33433062734946&view=1up&seq=7&skin=2021">1894</a> p32 U14 ages</p>
<p>IHS cites South Africa Statistical Year Book (1912–13, 1915–16); Official Yearbook of South Africa (1917–60); South African Statistics (1964 ongoing). And IHS gives white IMR 1910-1990; 1910 value in IHS is 89 but 1922 YrBk has 91.24 and 1980/1 has 88.5 A7 Africa: Deaths of Infants under One Year Old per 1,000 Live Births IHS 1750-2010: Africa, Asia and Oceania</p>
<p>At Hathi 1968-1995 Suid-Afrikaanse statistieke : opgestel deur die Buro vir Statistiek, Pretoria = South African statistics : compiled by the Buro of Statistics, Pretoria. From 1992 or so, got age04 59 data</p>
<p>At Hathi 1970 South Africa Census (subject), No “full view” – maybe Columbia has temporary access?</p>