Current Housing Reports: Housing vacancies. H-111, Issues 64-67; Issues 71-75U. S. Department of Commerce, Bureau of the Census, 1971 |
From inside the book
Results 1-5 of 72
Page 15
... intervals were assumed to stand at the midpoints of the 1 - dollar interval between the end of one of the rent groups and the beginning of the next . For example , the limits of the interval designated $ 30 to $ 39 were assumed to be ...
... intervals were assumed to stand at the midpoints of the 1 - dollar interval between the end of one of the rent groups and the beginning of the next . For example , the limits of the interval designated $ 30 to $ 39 were assumed to be ...
Page 17
... interval would be from 4.5 to 5.3 percent . Homeowner vacancy rates Area Standard Standard Rate for quarter error or rate Quarter- to - quarter difference error of difference Rate for quarter Standard error of rate Standard Quarter- to ...
... interval would be from 4.5 to 5.3 percent . Homeowner vacancy rates Area Standard Standard Rate for quarter error or rate Quarter- to - quarter difference error of difference Rate for quarter Standard error of rate Standard Quarter- to ...
Page 14
... intervals used in the tables repre- sent full months , calculated from a date in the month to the same date the following months . For example , if the unit became vacant on April 29 and was still vacant on the day of enumeration , June ...
... intervals used in the tables repre- sent full months , calculated from a date in the month to the same date the following months . For example , if the unit became vacant on April 29 and was still vacant on the day of enumeration , June ...
Page 15
... intervals were assumed to stand at the midpoints of the 1 - dollar interval between the end of one of the rent groups and the beginning of the next . For example , the limits of the interval designated $ 30 to $ 39 were assumed to be ...
... intervals were assumed to stand at the midpoints of the 1 - dollar interval between the end of one of the rent groups and the beginning of the next . For example , the limits of the interval designated $ 30 to $ 39 were assumed to be ...
Page 17
... interval would be from 4.5 to 5.3 percent . Homeowner vacancy rates Area Standard Standard Rate for quarter error or rate Quarter- to - quarter difference error of difference Rate for quarter Standard error of rate Quarter- to - quarter ...
... interval would be from 4.5 to 5.3 percent . Homeowner vacancy rates Area Standard Standard Rate for quarter error or rate Quarter- to - quarter difference error of difference Rate for quarter Standard error of rate Quarter- to - quarter ...
Other editions - View all
Common terms and phrases
1939 or earlier Bedrooms in Unit central cities counted Current Population Survey description of units Duration of Vacancy error on rate estimates excluded fourth quarter Held off market homeowner housing homeowner vacancy rate independent cities Inside SMSA's Lacking facilities later Median number meration metropolitan statistical area monthly rent North Central number of rooms number of vacant occupied by persons occupied housing units occupied units offered for rent Percent distribution percent of total persons with usual Plumbing Facilities Total published before 1972 rental and homeowner rental vacancy rate Rented or sold renter renter-occupied units ROOMS IN UNIT rooms or less sampling error Seasonal vacant second quarter SELECTED CHARACTERISTICS sound or deteriorating STRUCTURE BUILT Total Structure Total Survey sample Temporarily occupied text for description third quarter total rental units Unit Total units for rent units for sale units held UNITS IN STRUCTURE Vacancy Total vacant homeowner units vacant housing units vacant rental units
Popular passages
Page 10 - ... twin cities" with a combined population of at least 50,000. In addition to the county, or counties, containing such a city or cities, contiguous counties are included in an SMSA if, according to certain criteria, they are essentially metropolitan in character and are socially and economically integrated with the central city.
Page 16 - In order to derive standard errors that would be applicable to a wide variety of items and could be prepared at a moderate cost, a number of approximations were required. As a result, the tables of standard errors provide an indication of the order of magnitude of the standard errors rather than the precise standard error for any specific item.
Page 38 - Reliability of the estimates. Since the estimates are based on a sample, they may differ somewhat from the figures that would have been obtained if a complete census had been taken using the same schedules, instructions, and enumerators.
Page 9 - SMSA is a county or group of contiguous counties which contains at least one city of 50,000 inhabitants or more, or "twin cities" with a combined population of at least 50,000.
Page 20 - ... urbanized areas; (c) towns in New England and townships in New Jersey and Pennsylvania which contain no incorporated municipalities as subdivisions and have either 25,000 inhabitants or more or a population of 2,500 to 25,000 and a density of 1,500 persons or more per square mile; (d) counties in States other than the New England States, New Jersey, and Pennsylvania that have no incorporated municipalities within their boundaries and have a density of 1,500 persons per square mile; and (e) unincorporated...
Page 13 - Of this number, 2, 250 occupied units, on the average, are visited but interviews are not obtained because the occupants are not found at home after repeated calls or are unavailable for some other reason.
Page 16 - The standard error is primarily a measure of sampling variability, that is, of the variations that occur by chance because a sample rather than the whole of the population is surveyed.
Page 9 - 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 11 - ... persons who consider the hotel as their usual place of residence or have no usual place of residence elsewhere.