to your HTML Add class="sortable" to any table you'd like to make sortable Click on the headers to sort Thanks to many, many people for contributions and suggestions. Licenced as X11: http://www.kryogenix.org/code/browser/licence.html This basically means: do what you want with it. */ var stIsIE = /*@cc_on!@*/false; sorttable = { init: function() { // quit if this function has already been called if (arguments.callee.done) return; // flag this function so we don't do the same thing twice arguments.callee.done = true; // kill the timer if (_timer) clearInterval(_timer); if (!document.createElement || !document.getElementsByTagName) return; sorttable.DATE_RE = /^(\d\d?)[\/\.-](\d\d?)[\/\.-]((\d\d)?\d\d)$/; forEach(document.getElementsByTagName('table'), function(table) { if (table.className.search(/\bsortable\b/) != -1) { sorttable.makeSortable(table); } }); }, makeSortable: function(table) { if (table.getElementsByTagName('thead').length == 0) { // table doesn't have a tHead. Since it should have, create one and // put the first table row in it. the = document.createElement('thead'); the.appendChild(table.rows[0]); table.insertBefore(the,table.firstChild); } // Safari doesn't support table.tHead, sigh if (table.tHead == null) table.tHead = table.getElementsByTagName('thead')[0]; if (table.tHead.rows.length != 1) return; // can't cope with two header rows // Sorttable v1 put rows with a class of "sortbottom" at the bottom (as // "total" rows, for example). This is B&R, since what you're supposed // to do is put them in a tfoot. So, if there are sortbottom rows, // for backwards compatibility, move them to tfoot (creating it if needed). sortbottomrows = []; for (var i=0; i
A month ago, we projected that California's total preliminary Point-In-Time Count for its homeless population would fall within a range between 149,000 and 155,000. With updated reporting of the 2019 census of California's homeless population now covering 35 of 40 regions within the state, we can now update that projection which we believe will likely now fall within the top half of that range, between 153,400 and 155,400.
The five areas that have not yet reported their 2019 Point-In-Time homeless count figures include the Colusa-Glenn-Trinity tri-county region, El Dorado County, Mendocino County, Monterey-San Benito counties, and Napa County.
Assuming that these five remaining regions for which preliminary data is not yet available will have zero change from their previous estimates of their homeless population, the minimum number of homeless in California will rise to 153,400 after rounding to the nearest hundred. If these five regions have the same 19% increase recorded in the other 35 regions within the state, the number of homeless in California will rise to 154,400 (the number indicated on the chart above). If 154,400 is the midpoint of a reasonable range for the preliminary count to now fall, the top end of that range would slightly increase from our previous estimate of 155,000 to 155,400.
Based on past history, we believe the homeless counts for Los Angeles County and San Francisco will be revised downward, as analysts make corrections for double-counting and other errors in the preliminary figures reported for these high population areas. We continue to anticipate the final estimate of California's homeless count in 2019 will exceed 150,000.
For historic data, the U.S. Department of Housing and Urban Development provides an Excel Spreadsheet with data from the annual Point-In-Time Estimates by Continuum Of Care from 2007 through 2018, where this data was last updated on 11 December 2018.
To the best of our knowledge, other than our analysis, there still isn't any centralized reporting for the 2019 Point-In-Time counts of California's homeless populations, which are still being tallied. We obtained the data for each the 35 Continuums of Care covering the following California counties that have presented their preliminary estimates for 2019 from the following linked sources: Alameda, Alpine-Inyo-Mono, Amador-Calaveras-Mariposa-Tuolumne, Butte, Contra Costa, Fresno, Madera, Humbolt, Imperial, Kern, Kings, Tulare, Lake, Los Angeles, Marin, Merced, Orange, Placer-Nevada, Riverside, Sacramento, San Bernardino, San Diego, San Francisco, San Joaquin, San Luis Obispo, San Mateo, Santa Barbara, Santa Clara, Santa Cruz, Shasta-Siskiyou-Lassen-Plumas-Del Norte-Modoc-Sierra, Solano, Sonoma, Stanislaus, Sutter-Yuba, Tehama, Ventura, and Yolo.
Labels: demographics, forecasting, math
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