Construction Reports: Housing starts. C20U. S. Department of Commerce, Bureau of the Census, 1977 |
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Results 1-5 of 100
Page 8
... June . 1,513 979 70 464 218 371 614 310 July .. 1,316 906 71 339 158 330 543 285 August .. 1,142 817 53 272 160 284 443 255 September . 1,150 860 44 246 192 281 436 241 October . 1,070 770 44 256 156 259 430 225 November . 1,026 808 48 ...
... June . 1,513 979 70 464 218 371 614 310 July .. 1,316 906 71 339 158 330 543 285 August .. 1,142 817 53 272 160 284 443 255 September . 1,150 860 44 246 192 281 436 241 October . 1,070 770 44 256 156 259 430 225 November . 1,026 808 48 ...
Page 11
... June .. 121.4 89.1 3.5 3.8 25.0 92.9 28.5 13.6 33.3 36.6 37.8 July . 112.5 82.6 3.9 3.1 22.9 86.0 26.5 13.6 27.9 34.4 36.6 August .. 115.4 80.7 3.7 3.9 27.0 88.7 26.7 15.2 28.2 34.5 37.4 September . 124.0 78.6 4.0 4.4 36.9 94.0 30.0 ...
... June .. 121.4 89.1 3.5 3.8 25.0 92.9 28.5 13.6 33.3 36.6 37.8 July . 112.5 82.6 3.9 3.1 22.9 86.0 26.5 13.6 27.9 34.4 36.6 August .. 115.4 80.7 3.7 3.9 27.0 88.7 26.7 15.2 28.2 34.5 37.4 September . 124.0 78.6 4.0 4.4 36.9 94.0 30.0 ...
Page 5
... June . July .. August . September . October . November . December . SEASONALLY ADJUSTED ANNUAL RATE 1976 : January .. 1,054 776 70 208 113 201 393 347 February . March . April . May . June . 1,154 906 55 193 146 296 379 333 1,192 901 76 ...
... June . July .. August . September . October . November . December . SEASONALLY ADJUSTED ANNUAL RATE 1976 : January .. 1,054 776 70 208 113 201 393 347 February . March . April . May . June . 1,154 906 55 193 146 296 379 333 1,192 901 76 ...
Page 7
... June . July 1,494 1,122 75 297 161 406 559 368 1,413 1,129 72 212 144 366 560 343 August . September . 1,530 1,172 83 275 160 384 585 401 1,768 1,254 106 408 164 479 666 459 October . 1,715 1,269 98 348 173 431 611 500 November . 1,706 ...
... June . July 1,494 1,122 75 297 161 406 559 368 1,413 1,129 72 212 144 366 560 343 August . September . 1,530 1,172 83 275 160 384 585 401 1,768 1,254 106 408 164 479 666 459 October . 1,715 1,269 98 348 173 431 611 500 November . 1,706 ...
Page 9
... June .. 121.4 89.1 3.5 3.8 25.0 92.9 28.5 13.6 33.3 36.6 37.8 July ... 112.5 82.6 3.9 3.1 22.9 86.0 26.5 13.6 27.9 34.4 36.6 August .. 115.4 80.7 3.7 3.9 27.0 88.7 26.7 15.2 28.2 34.5 37.4 September . 124.0 78.6 4.0 4.4 36.9 94.0 30.0 ...
... June .. 121.4 89.1 3.5 3.8 25.0 92.9 28.5 13.6 33.3 36.6 37.8 July ... 112.5 82.6 3.9 3.1 22.9 86.0 26.5 13.6 27.9 34.4 36.6 August .. 115.4 80.7 3.7 3.9 27.0 88.7 26.7 15.2 28.2 34.5 37.4 September . 124.0 78.6 4.0 4.4 36.9 94.0 30.0 ...
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Common terms and phrases
100 2nd quarter 1st quarter 3rd quarter add to total adjusted annual rate ANNUAL DATA 1963 April August AVERAGE RELATIVE STANDARD building permit Bureau Census Central South West Construction Reports December east North Central ERROR OF MONTHLY ESTIMATES Percents February housing units authorized housing units started January July June March Metropolitan Statistical Areas mobile home shipments month MONTHLY DATA nonsampling errors North Central South November number of housing number of units October Period Table permit authorizations place series possible samples Ppreliminary PRIVATE HOUSING STARTS PRIVATELY OWNED HOUSING QUARTERLY DATA regard to sign Region Period Total relative standard errors sampling error seasonally adjusted annual September shipments of mobile shown for revised single family SMSA's Outside SMSA's South West ANNUAL started plus mobile starts and building struc thousands of units Total 1 unit Total Total Total tures type of structure U.S. Department U.S. Government Printing units 5 units units units West ANNUAL DATA
Popular passages
Page 19 - The standard error of a sample estimate is a measure of the variation among the estimates from all the possible samples and thus is a measure of the precision with which an estimate from a particular sample approximates the average result of all possible samples. The...
Page 19 - Subscription to : Remittance Enclosed (Make checks payable to Superintendent of Documents) Charge to my Deposit Account No. MAIL ORDER FORM TO: Superintendent of Documents Government Printing Office Washington, DC 20402...
Page 13 - The standard or sampling error of a survey estimate is a measure of the variation among the estimates from all possible...
Page 19 - Nonsampling errors can be attributed to many sources, eg, inability to obtain information about all cases in the sample, definitional difficulties, differences in the interpretation of questions, inability or unwillingness...
Page 13 - ... feet or more long, designed to be towed on its own chassis, with transportation gear integral to the unit when it leaves the factory and without need of a permanent foundation.
Page 19 - For a description of the method used to compute these factors, see Bureau of the Census Technical Paper No. 15, The X-ll Variant of the Census Method II Seasonal Adjustment Program.
Page 19 - Since the estimates in this report are based on a sample, they may differ somewhat from the figures that would have been obtained from a complete census, using the same schedules, instructions, and enumerators.
Page 19 - ... comparable complete-coverage values. Estimates of the standard errors have been computed from the sample data for selected statistics in this report. They are presented in the form of relative standard errors, the standard errors divided by the estimated values to which they refer. In conjunction with its associated estimate, the relative standard error may be used to define confidence intervals, ranges that would include the comparable complete-coverage value for specified percentages of all...
Page 19 - The statistics in this report are estimates derived from a sample survey and may differ from the statistics which would have been obtained from a complete census using the same schedules and procedures. An estimate based on a sample survey is subfeet to both sampling error and nonsampling error. The "accuracy...
Page 13 - Disregarding this difference, the sampling error, or standard error of the estimate, is a measure of the variability among the estimates from all possible samples of the same size and design and, thus, is a measure of the precision with which an estimate from a particular sample approximates the results of a complete enumeration.