File layout for File Section K&M (Records are comma-delimited. First line contains a list of variables on the file. The remaining lines contain the values of the variables with fixed column positions.) Variables on all files DOEID '4-digit identification number' Columns 1-4 NWEIGHT 'The Final Weight' Columns 6-11 MQRESULT 'Mail Questionnaire Codes' Columns 13 REGIONC 'Census Region' Columns 15 DIVISION 'Census Division' Columns 17 LRGSTATE 'Four Largest States' Columns 19 CDD65 'Cooling Degree-Days to base 65, 1-04 TO 12-04' Columns 21-24 HDD65 'Heating Degree-Days to base 65, 1-04 TO 12-04' Columns 26-30 TYPEHUQ 'Type of Home: as report by Respondent' Columns 32 Variables in File 9 Section K&M only. WORKPAY 'Employment income from wages and salaries' Columns 34 RETIREPY 'Retirement income fr social security or pension' Columns 36 CASHBEN 'Cash benefits from temporary assistance' Columns 38 NCASHBEN 'Non-cash benefits from food stamps' Columns 40 HEATAID 'Help in paying home heating costs' Columns 42 COOLAID 'Help in paying home cooling costs' Columns 44 LIFELINE 'Help with other home energy costs' Columns 46 TYPEPMT1 'First mention receive payments for heating costs' Columns 48 CASHAID 'a check sent to your household' Columns 50 FUELPAID 'a payment sent to your utility co. or fuel dealer' Columns 52 OTHERPMT 'Some other method of payment, such as a coupon' Columns 54 GOVTAMT 'Enter the amount received' Columns 56-59 ZGOVTAMT 'Imputation Flag for GOVTAMT' Columns 61 NOPAY 'Past 12 months was your electricity discontinued' Columns 63 ZNOPAY 'Imputation Flag for NOPAY' Columns 65 NOPYFIX 'Heating system was broken and unable pay repair' Columns 67 ZNOPYFIX 'Imputation Flag for NOPYFIX' Columns 69 NOPYFL 'Ran out of fuel oil and unable pay delivery' Columns 71 ZNOPYFL 'Imputation Flag for NOPYFL' Columns 73 NOPYEL 'Utility discontinued due to unable pay bill' Columns 75 ZNOPYEL 'Imputation Flag for NOPYEL' Columns 77 NNOHEAT 'How many times HH went without heat' Columns 79-81 HRSDYS 'Unit of time without heat' Columns 83-84 AMTNOHT 'Amount of time without heat' Columns 86-89 NOHWIN 'October through March were without heat' Columns 91-92 NOHSUM 'April through September were without heat' Columns 94-95 OTHERWAY 'Were you able to heat home some other way' Columns 97-98 MEASURE 'Interviewer measured housing unit' Columns 100 SQFTEST 'Respondent estimate of heated square footage' Columns 102-106 CONVERT 'Originally designed or converted into apartment' Columns 108 ORIG1FAM 'Structure originally built as single-family house' Columns 110 LOOKLIKE 'More like a single-family house or an apartment' Columns 112 TOTSQFT 'Total square footage' Columns 114-118 TOTHSQFT 'Total heated square footage' Columns 120-124 TOTUSQFT 'Total unheated square footage' Columns 126-129 BASHSQFT 'Basement heated square footage' Columns 131-134 BASUSQFT 'Basement unheated square footage' Columns 136-139 GARHSQFT 'Garage heated square footage' Columns 141-143 GARUSQFT 'Garage unheated square footage' Columns 145-147 ATTHSQFT 'Attic heated square footage' Columns 149-152 ATTUSQFT 'Attic unheated square footage' Columns 154-157 RHMHSQFT 'Rest of HU heated square footage' Columns 159-163 RHMUSQFT 'Rest of HU unheated square footage' Columns 165-168 TOTCSQFT 'Estimated air-conditional square footage' Columns 170-174 SOURCE 'Measurement quality' Columns 176 Codebook for File section K&M/F9 Variables DOEID, NWEIGHT, MQRESULT, REGIONC, DIVISION, LRGSTATE CDD65, HDD65, and TYPEHUQ are on all files. DOEID '4-digit identification number' Columns 1-4 Included in all files Numerical Variable Variable length: 4 The variable DOEID will be on all files. Each respondent is assigned an unique value of DOEID. It can be used to merge data from one file with data from another file. Minimum Value: 1,001 Maximum Value: 5,852 NWEIGHT 'The Final Weight' Columns 6-11 Included in all files Numerical Variable Variable length: 6 Minimum Value: 5,594 Maximum Value: 105,485 The sample design for RECS is not a simple random sample. Consequently, to estimate the number or percent of households/housing units with a certain characteristic, the sampling weight should be used. The variable NWEIGHT is the sampling weight for the observation. It is approximately the inverse of the probability of selection. It gives the number of households that the response represents in the sample. For most categorical variables, the codebooks contain both the unweighted frequency and the weighted frequency. The unweighted frequency gives the number of observations, the weighted frequency gives survey estimate of the number of households/housing units for each possible value of the variable. The weighted frequencies are rounded to the nearest 100,000 households. This is the limit of the accuracy for RECS. When the unweighted frequency is less than 10 or the weighted frequency is less than 150,000; then weighted frequency is suppressed. A 'Q' is placed in the frequency to denote that the number is suppressed. This indicates that there are too few observation upon which to determine an accurate estimate. MQRESULT 'Mail Questionnaire Codes' Columns 13 Included in all files Categorical Variable Variable length 1 Mail Questionnaire (MQ) Authorization Form (AF) Personal Interview (PI) 1 = MQ Completed, AF Signed 2 = MQ Completed, AF not required 3 = MQ Completed, AF Not Signed 7 = MQ returned after a PI was completed 8 = PI was completed after MQ was returned 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 166 3,900,000 2 1 Q 3 76 1,700,000 7 42 1,000,000 8 24 600,000 9 4,513 99,800,000 Q = Data withheld because fewer than 10 observation in the category. When MQRESULT equals 1 2, or 3, the household and housing unit data was not obtained via a personal interview. The data were obtained using a shortened mail questionnaire. A hot-deck imputation procedure was used to match each mail respondent to a personal interview respondent. The critical matching variables were FUELHEAT, FUELH2O, TYPECOOL, TYPEHUQ, and REGIONC. Additional variables used in a scoring function to determine the best match were MONEYPY, NHSLDMEM, VEHICLES, HHAGE, and TOTROOMS. The remaining household/housing unit characteristics for the mail respondents were determined by the values of the matched personal interview respondent. The energy consumption and expenditures data for the mail respondents was based upon data obtained from their energy suppliers. It was not imputed using a hot deck procedure. Questionnaire data from personal interview respondents sometime is missing and needs to be imputed. 'Z' variables are used to indicate the presence of imputed data. For example, if ZURBRUR = 0 then URBRUR was not imputed. If ZURBRUR = 1 then URBRUR was imputed. Census Division/Region: A geographic area consisting of several States defined by the U.S. Department of Commerce, Bureau of the Census. The States are grouped into nine divisions and four regions. Region Division States Northeast New England Connecticut, Maine, Massachusetts, New Hampshire, Vermont, and Rhode Island Middle Atlantic New Jersey, New York, and Pennsylvania Midwest East North Central Illinois, Indiana, Michigan, Ohio, and Wisconsin West North Central Iowa, Kansas, Minnesota, Missouri, Nebraska, North Dakota, and South Dakota South South Atlantic Delaware, the District of Columbia, Florida, Georgia, Maryland, North Carolina, South Carolina, Virginia, and West Virginia East South Central Alabama, Kentucky, Mississippi, and Tennessee West South Central Arkansas, Louisiana, Oklahoma, and Texas West Mountain Arizona, Colorado, Idaho, Montana, Nevada, New Mexico, Utah, and Wyoming Pacific Alaska, California, Hawaii, Oregon, and Washington REGIONC 'Census Region' Columns 15 Included in all files Categorical Variable Variable length 1 1 = Northeast Census Region 2 = Midwest Census Region 3 = South Census Region 4 = West Census Region Number Weighted Of Number of Value Observations Households 1 1,087 20,300,000 2 1,047 24,500,000 3 1,489 38,900,000 4 1,199 23,300,000 DIVISION 'Census Division' Columns 17 Included in all files Categorical Variable Variable length 1 1 = New England Census Division 2 = Middle Atlantic Census Division 3 = East North Central Census Division 4 = West North Central Census Division 5 = South Atlantic Census Division 6 = East South Central Census Division 7 = West South Central Census Division 8 = Mountain Census Division 9 = Pacific Census Division Number Weighted Of Number of Value Observations Households 1 396 5,400,000 2 691 14,800,000 3 681 17,100,000 4 366 7,400,000 5 626 20,300,000 6 409 6,800,000 7 454 11,800,000 8 407 6,700,000 9 792 16,600,000 LRGSTATE 'Four Largest States' Columns 19 Included in all files Categorical Variable Variable length 1 0 = Other 1 = New York State 2 = California 3 = Texas 4 = Florida Number Weighted Of Number of Value Observations Households 0 3,484 73,600,000 1 328 7,100,000 2 541 12,300,000 3 289 7,700,000 4 180 6,300,000 CDD65 and HDD65 are weather data. The values of CDD65 and HDD65 were based upon data obtained from the NOAA. A random error was added to both HDD65 and CDD65 to mask the location of the weather station from which the data was obtained. CDD65 'Cooling Degree-Days to base 65, 1-04 TO 12-04' Columns 21-24 Included in all files Numerical Variable Variable length 4 Minimum Value: 0 Maximum Value: 5,161 HDD65 'Heating Degree-Days to base 65, 1-04 TO 12-04' Columns 26-30 Included in all files Numerical Variable Variable length 5 Minimum Value: 0 Maximum Value: 10,045 Cooling degree days are the number of degrees the average daily temperature (ADT) is above the base temperature. Heating degree days are the number of degrees the ADT is below the base temperature. To calculate daily degree days (base 65 degrees): ADT = (daily high + daily low)/2 CDD(daily) = 0 if ADT <= 65 = ADT - 65 if ADT > 65 HDD(daily) = 0 if ADT >= 65 = 65 - ADT if ADT < 65. Annual degrees days are calculated by summing the daily degree days. The .5 is carried over in the summation. The total is rounded up after the summation. TYPEHUQ 'Type of Home: as report by Respondent' Columns 32 Included in all files Categorical Variable Variable length: 1 Question (A-1) different than RECS97 Variable was constructed form responses to questions A-1, A-3, A-3a, and A-3a1 There is a fine line between the definitions of various types of housing units. The distinction between a single-family attached unit and a unit in an apartment building is particularly complex. The 1997 RECS relied more heavily of the respondent's perception of the housing type. The 2001 RECS placed more emphasis on the interviewer's perception. 1 = Mobile Home 2 = Single-Family detached 3 = Single-Family Attached 4 = Apartment in Building containing 2-4 units 5 = Apartment in Building Containing 5 or more units Number Weighted Of Number of Value Observations Households 1 325 6,800,000 2 2,935 63,100,000 3 426 10,600,000 4 444 9,500,000 5 692 17,000,000 The remaining variables are on File Section 4 only. WORKPAY 'Employment income from wages and salaries' Columns 34 Question K-1a 1 = Yes 0 = No 6 = Don't know 8 = Refused 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 1,055 23,500,000 1 1,086 22,600,000 6 8 Q 8 56 1,300,000 9 2,617 59,400,000 Q = Data withheld because fewer than 10 observation in the category. RETIREPY 'Retirement income fr social security or pension' Columns 36 Question K-1b 1 = Yes 0 = No 6 = Don't know 8 = Refused 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 1,324 28,100,000 1 810 17,800,000 6 8 Q 8 63 1,500,000 9 2,617 59,400,000 Q = Data withheld because fewer than 10 observation in the category. CASHBEN 'Cash benefits from temporary assistance' Columns 38 Question K-1c 1 = Yes 0 = No 6 = Don't know 8 = Refused 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 1,911 41,300,000 1 220 4,600,000 6 10 200,000 8 64 1,400,000 9 2,617 59,400,000 NCASHBEN 'Non-cash benefits from food stamps' Columns 40 Question K-1d 1 = Yes 0 = No 6 = Don't know 8 = Refused 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 1,874 40,600,000 1 256 5,400,000 6 11 200,000 8 64 1,400,000 9 2,617 59,400,000 HEATAID 'Help in paying home heating costs' Columns 42 Question K-2a 1 = Yes 0 = No 6 = Don't know 8 = Refused 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 1,956 42,500,000 1 198 4,000,000 6 10 200,000 8 41 1,000,000 9 2,617 59,400,000 COOLAID 'Help in paying home cooling costs' Columns 44 Question K-2b 1 = Yes 0 = No 6 = Don't know 8 = Refused 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 2,112 45,600,000 1 44 1,000,000 6 10 200,000 8 39 900,000 9 2,617 59,400,000 LIFELINE 'Help with other home energy costs' Columns 46 Question K-2c 1 = Yes 0 = No 6 = Don't know 8 = Refused 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 2,109 45,600,000 1 48 900,000 6 8 Q 8 40 900,000 9 2,617 59,400,000 Q = Data withheld because fewer than 10 observation in the category. TYPEPMT1 'First mention receive payments for heating costs' Columns 48 Question K-3abc 1 = Check sent to your houshold 2 = Payment sent directly to your utility company or fuel dealer 3 = Some other method of payment 6 = Don't know Number Weighted Of Number of Value Observations Households 1 24 500,000 2 157 3,100,000 3 14 300,000 6 3 Q Q = Data withheld because fewer than 10 observation in the category. CASHAID 'a check sent to your household' Columns 50 Question K-3a 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 174 3,500,000 1 24 500,000 9 4,624 103,000,000 FUELPAID 'a payment sent to your utility co. or fuel dealer Columns 52 Question K-3b 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 41 900,000 1 157 3,100,000 9 4,624 103,000,000 OTHERPMT 'Some other method of payment, such as a coupon' Columns 54 Question K-3c 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 184 3,700,000 1 14 300,000 9 4,624 103,000,000 GOVTAMT 'Enter the amount received' Columns 56-59 Question K-3d 0-9999 = Money received for heating Number Weighted Of Number of Value Observations Households 9 2 Q 23 2 Q 30 2 Q 32 2 Q 48 1 Q 50 7 Q 53 1 Q 60 1 Q 70 1 Q 72 2 Q 75 1 Q 79 2 Q 82 2 Q 95 1 Q 100 3 Q 104 1 Q 110 1 Q 113 1 Q 125 4 Q 126 2 Q 130 1 Q 139 1 Q 140 1 Q 142 1 Q 150 7 Q 160 2 Q 166 1 Q 180 6 Q 192 1 Q 200 13 300,000 225 3 Q 234 1 Q 236 1 Q 250 7 Q 260 2 Q 262 1 Q 263 3 Q 264 1 Q 279 2 Q 280 1 Q 287 2 Q 300 11 200,000 329 1 Q 332 1 Q 341 1 Q 350 4 Q 366 1 Q 377 2 Q 380 1 Q 385 1 Q 399 2 Q 400 10 200,000 410 2 Q 430 1 Q 432 1 Q 450 6 Q 456 2 Q 475 1 Q 500 11 200,000 525 2 Q 549 2 Q 550 1 Q 560 2 Q 564 1 Q 600 8 Q 650 1 Q 675 2 Q 699 1 Q 700 6 Q 750 2 Q 800 6 Q 815 1 Q 900 2 Q 1000 1 Q 1080 1 Q 1200 1 Q 1300 1 Q 1350 1 Q 9999 4,624 103,000,000 Q = Data withheld because fewer than 10 observation in the category. ZGOVTAMT 'Imputation Flag for GOVTAMT' Columns 61 0 = Not Imputed 1 = Imputed Number Weighted Of Number of Value Observations Households 0 4,778 106,100,000 1 44 800,000 NOPAY 'Past 12 months was your electricity discontinued' Columns 63 Question K-4 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 2,152 46,500,000 1 53 1,100,000 9 2,617 59,400,000 ZNOPAY 'Imputation Flag for NOPAY' Columns 65 0 = Not Imputed 1 = Imputed Number Weighted Of Number of Value Observations Households 0 4,779 106,000,000 1 43 1,000,000 NOPYFIX 'Heating system was broken and unable pay repair' Columns 67 Question K-5a 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 2,163 46,600,000 1 42 1,000,000 9 2,617 59,400,000 ZNOPYFIX 'Imputation Flag for NOPYFIX' Columns 69 0 = Not Imputed 1 = Imputed Number Weighted Of Number of Value Observations Households 0 4,777 105,900,000 1 45 1,000,000 NOPYFL 'Ran out of fuel oil and unable pay delivery' Columns 71 Question K-5b 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 2,183 47,100,000 1 22 500,000 9 2,617 59,400,000 ZNOPYFL 'Imputation Flag for NOPYFL' Columns 73 0 = Not Imputed 1 = Imputed Number Weighted Of Number of Value Observations Households 0 4,777 106,000,000 1 45 1,000,000 NOPYEL 'Utility discontinued due to unable pay bill' Columns 75 Question K-5c 1 = Yes 0 = No 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 2,160 46,700,000 1 45 900,000 9 2,617 59,400,000 ZNOPYEL 'Imputation Flag for NOPYEL' Columns 77 0 = Not Imputed 1 = Imputed Number Weighted Of Number of Value Observations Households 0 4,777 106,000,000 1 45 1,000,000 NNOHEAT 'How many times HH went without heat' Columns 79-81 Question K-6 0-99 = How many times HH went without heat 998 = Refused 999 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 2,118 45,700,000 1 54 1,100,000 2 18 400,000 3 1 Q 4 1 Q 5 3 Q 7 1 Q 10 1 Q 12 2 Q 20 3 Q 90 1 Q 998 2 Q 999 2,617 59,400,000 Q = Data withheld because fewer than 10 observation in the category. HRSDYS 'Unit of time without heat' Columns 83-84 Question K-6a 1 = Hours 2 = Days 6 = Don't know 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 26 500,000 2 60 1,400,000 6 1 Q 99 4,735 105,100,000 Q = Data withheld because fewer than 10 observation in the category. AMTNOHT 'Amount of time without heat' Columns 86-89 Question K-6a 1-9995 = Amount of time without heat 9999 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 10 200,000 2 13 300,000 3 7 Q 4 5 Q 5 6 Q 6 2 Q 7 3 Q 8 2 Q 9 1 Q 10 2 Q 12 4 Q 14 2 Q 16 1 Q 20 2 Q 21 1 Q 22 1 Q 24 4 Q 30 2 Q 56 1 Q 60 6 Q 75 1 Q 90 3 Q 120 2 Q 150 2 Q 162 1 Q 300 1 Q 365 2 Q 9999 4,735 105,100,000 Q = Data withheld because fewer than 10 observation in the category. NOHWIN 'October through March were without heat' Columns 91-92 Question K-6b 1 = Yes 0 = No 6 = Not sure 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 18 400,000 1 68 1,500,000 6 1 Q 99 4,735 105,100,000 Q = Data withheld because fewer than 10 observation in the category. NOHSUM 'April through September were without heat' Columns 94-95 Question K-6c 1 = Yes 0 = No 6 = Not sure 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 61 1,300,000 1 25 500,000 6 1 Q 99 4,735 105,100,000 Q = Data withheld because fewer than 10 observation in the category. OTHERWAY 'Were you able to heat home some other way' Columns 97-98 Question K-6d 1 = Yes 0 = No 99 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 48 1,000,000 1 39 900,000 99 4,735 105,100,000 MEASURE 'Interviewer measured housing unit' Columns 100 Question M-1 1 = Measurements follow 2 = Other 7 = Respondent refused Number Weighted Of Number of Value Observations Households 1 4,383 96,900,000 2 12 300,000 7 427 9,800,000 SQFTEST 'Respondent estimate of heated square footage' Columns 102-106 Question M-2 100-50,000 = Square feet of living space 99996 = Don't know 99998 = Refused 99999 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 100-14400 3,321 73,900,000 99996 1,480 32,600,000 99998 20 400,000 99999 1 Q Q = Data withheld because fewer than 10 observation in the category. CONVERT 'Originally designed or converted into apartment' Columns 108 Question M-4 1 = Built as an apartment building 2 = Converted into an apartment building 6 = Don't know 8 = Refused 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 276 6,100,000 2 100 2,100,000 6 14 300,000 8 54 1,000,000 9 4,378 97,500,000 ORIG1FAM 'Structure originally built as single-family house' Columns 110 Question M-4a 1 = Yes 0 = No 6 = Don't know 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 0 15 300,000 1 84 1,800,000 6 1 Q 9 4,722 104,900,000 Q = Data withheld because fewer than 10 observation in the category. LOOKLIKE 'More like a single-family house or an apartment' Columns 112 Question M-4a1 1 = More like a single-family house 2 = More like an apartment 6 = Don't know 8 = Refused 9 = No Answer/Not Applicable Number Weighted Of Number of Value Observations Households 1 39 800,000 2 42 1,000,000 6 1 Q 8 2 Q 9 4,738 105,200,000 Q = Data withheld because fewer than 10 observation in the category. TOTSQFT 'Total square footage' Columns 114-118 Number Weighted Of Number of Value Observations Households 122-15136 4,822 107,000,000 TOTHSQFT 'Total heated square footage' Columns 120-124 Number Weighted Of Number of Value Observations Household 0 109 2,400,000 104-15136 4,713 104,600,000 TOTUSQFT 'Total unheated square footage' Columns 126-129 Number Weighted Of Number of Value Observations Household 0 2,431 54,900,000 36-6309 2,391 52,100,000 BASHSQFT 'Basement heated square footage' Columns 131-134 Number Weighted Of Number of Value Observations Household 0 3,504 79,600,000 24-3847 1,318 27,400,000 BASUSQFT 'Basement unheated square footage' Columns 136-139 Number Weighted Of Number of Value Observations Household 0 4,059 91,500,000 16-3740 763 15,500,000 GARHSQFT 'Garage heated square footage' Columns 141-143 Number Weighted Of Number of Value Observations Household 0 4,396 96,800,000 250-600 426 10,200,000 GARUSQFT 'Garage unheated square footage' Columns 145-147 Number Weighted Of Number of Value Observations Household 0 3,620 80,000,000 250-600 1,202 26,900,000 ATTHSQFT 'Attic heated square footage' Columns 149-152 Number Weighted Of Number of Value Observations Household 0 4,650 103,300,000 45-4695 172 3,700,000 ATTUSQFT 'Attic unheated square footage' Columns 154-157 Number Weighted Of Number of Value Observations Household 0 4,684 103,900,000 36-3300 138 3,100,000 RHMHSQFT 'Rest of HU heated square footage' Columns 159-163 Number Weighted Of Number of Value Observations Household 0 113 2,500,000 104-12939 4,709 104,500,000 RHMUSQFT 'Rest of HU unheated square footage' Columns 165-168 Number Weighted Of Number of Value Observations Household 0 3,846 85,500,000 65-5206 976 21,500,000 TOTCSQFT 'Estimated air-conditional square footage' Columns 170-174 Number Weighted Of Number of Value Observations Household 0 1,358 26,200,000 71-14536 3,464 80,800,000 SOURCE 'Measurement quality' Columns 176 0 = All measurements known/taken outside 1 = All measurements known/taken inside 2 = All measurements known/location taken is mixed or unknown 4 = Measurements missing for at least one non-basement floor 5 = Measurements known for all floors except the basement Number Weighted Of Number of Value Observations Household 0 2,095 45,200,000 1 1,595 35,700,000 2 560 12,700,000 4 552 12,800,000 5 20 500,000