File layout for File 7 (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, 1-97 TO 12-97' Columns 21-24 HDD65 'Heating Degree-Days to base 65, 1-97 TO 12-97' Columns 26-30 TYPEHUQ 'Type of Home: as report by Respondent' Columns 32 Variables in File 7 only. SIGNFORM 'Authorization Form Signed' Columns 34 KFUELOT 'Fuel Charges For Non-Household Use' Columns 36 FARM 'Bills Include Farm/Machine Use' Columns 38 TENANT 'Bills Cover Fuel Of Other Household' Columns 40 BUSINESS 'Bills Cover Business/Office Use' Columns 42 OTHERUSE 'Bills Cover Fuel For Other Use' Columns 44 BILLUG 'Natural Gas Used For Other Purposes' Columns 46 BLPUSE 'LPG Used For Other Purposes' Columns 48 BILLFOIL 'Fuel Oil Used For Other Purposes' Columns 50 BILLKER 'Kerosene Used For Other Purposes' Columns 52 BILLEL 'Electric Used For Other Purposes' Columns 54 BILLUGP 'Percent Natural Gas Bill For Other Purposes' Columns 56 BILLLPGP 'Percent LPG Bill For Other Purposes' Columns 58 BILLFOLP 'Percent Fuel Oil Bill For Other Purposes' Columns 60 BILLKERP 'Percent Kerosene Bill For Other Purposes' Columns 62 BILLELP 'Percent Electric Bill For Other Purposes' Columns 64 Codebook for File 7 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: 6,903 NWEIGHT 'The Final Weight' Columns 6-11 Included in all files Numerical Variable Variable length: 6 Minimum Value: 3,841 Maximum Value: 79,878 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 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 1 173 3,400,000 2 8 Q 7 1 Q 8 12 200,000 9 5,706 97,600,000 Q = Data withheld because fewer than 10 observation in the category. When MQRESULT equals 1 or 2, 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 1,332 19,700,000 2 1,234 24,100,000 3 1,979 35,900,000 4 1,355 21,800,000 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 1 490 5,300,000 2 842 14,400,000 3 783 16,900,000 4 451 7,200,000 5 871 18,700,000 6 527 6,300,000 7 581 10,800,000 8 466 6,200,000 9 889 15,600,000 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 4,258 70,300,000 1 399 6,800,000 2 609 11,500,000 3 369 7,000,000 4 265 5,900,000 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, 1-97 TO 12-97' Columns 21-24 Included in all files Numerical Variable Variable length 4 Minimum Value: 0 Maximum Value: 5,954 HDD65 'Heating Degree-Days to base 65, 1-97 TO 12-97' Columns 26-30 Included in all files Numerical Variable Variable length 5 Minimum Value: 0 Maximum Value: 11,672 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-2B) different than RECS93 Variable was constructed form responses to questions A-2A, A-2B, A-5, and A-9 Imputed for Nonresponse 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 collection and editing of the data on housing type changed from the paper-and-pencil questionnaire for the 1993 RECS to the CAPI questionnaire for the 1997 RECS. The change in the data collection and editing procedures may have contributed to changes in the survey results. For example, the estimated number of occupied single-family attached units increased from 7.3 million for the 1993 RECS to 10.0 million for the 1997 RECS. Conversely, the number of occupied housing units in buildings with two to four units decreased from 8.0 million for the 1993 RECS to 5.6 million for the 1997 RECS. 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 1 402 6,300,000 2 3,661 63,800,000 3 552 9,900,000 4 351 5,600,000 5 934 15,800,000 The remaining variables a present only in File 7. SIGNFORM 'Authorization Form Signed' Columns 34 Categorical Variable Variable Length 1 Question I-1 Question same as RECS93 0 = Authorization Form Not Signed 1 = Authorization Form Signed 6 = Don't Know 7 = Refused 8 = No Answer 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 480 8,500,000 1 5,131 88,500,000 6 1 Q 7 1 Q 9 287 4,500,000 Q = Data withheld because fewer than 10 observation in the category. KFUELOT 'Fuel Charges For Non-Household Use' Columns 36 Categorical Variable Variable Length 1 Question I-8A Question different than RECS93 In RECS 93 Used Exhibit Card 0 = No 1 = Yes 6 = Don't Know 7 = Refused 8 = No Answer 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 5,487 94,800,000 1 109 1,900,000 6 5 Q 7 7 Q 8 4 Q 9 288 4,500,000 Q = Data withheld because fewer than 10 observation in the category. FARM 'Bills Include Farm/Machine Use' Columns 38 Categorical Variable Variable Length 1 Question I-8B Question same as RECS93 0 = No 1 = Yes 8 = No Answer 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 77 1,400,000 1 31 500,000 8 1 Q 9 5,791 99,600,000 Q = Data withheld because fewer than 10 observation in the category. TENANT 'Bills Cover Fuel Of Other Household' Columns 40 Categorical Variable Variable Length 1 Question I-8C Question same as RECS93 0 = No 1 = Yes 8 = No Answer 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 67 1,100,000 1 41 800,000 8 1 Q 9 5,791 99,600,000 Q = Data withheld because fewer than 10 observation in the category. BUSINESS 'Bills Cover Business/Office Use' Columns 42 Categorical Variable Variable Length 1 Question I-8D Question same as RECS93 0 = No 1 = Yes 8 = No Answer 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 77 1,400,000 1 31 500,000 8 1 Q 9 5,791 99,600,000 Q = Data withheld because fewer than 10 observation in the category. OTHERUSE 'Bills Cover Fuel For Other Use' Columns 44 Categorical Variable Variable Length 1 Question I-8E Question same as RECS93 0 = No 1 = Yes 8 = No Answer 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 89 1,600,000 1 19 300,000 8 1 Q 9 5,791 99,600,000 Q = Data withheld because fewer than 10 observation in the category. BILLUG 'Natural Gas Used For Other Purposes' Columns 46 Categorical Variable Variable Length 1 Question I-8F Question same as RECS93 0 = No 1 = Yes 8 = No Answer 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 68 1,200,000 1 40 700,000 8 1 Q 9 5,791 99,600,000 Q = Data withheld because fewer than 10 observation in the category. BLPUSE 'LPG Used For Other Purposes' Columns 48 Categorical Variable Variable Length 1 Question I-8G Question same as RECS93 0 = No 1 = Yes 8 = No Answer 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 93 1,700,000 1 15 200,000 8 1 Q 9 5,791 99,600,000 Q = Data withheld because fewer than 10 observation in the category. BILLFOIL 'Fuel Oil Used For Other Purposes' Columns 50 Categorical Variable Variable Length 1 Question I-8H Question same as RECS93 0 = No 1 = Yes 8 = No Answer 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 103 1,800,000 1 5 Q 8 1 Q 9 5,791 99,600,000 Q = Data withheld because fewer than 10 observation in the category. BILLKER 'Kerosene Used For Other Purposes' Columns 52 Categorical Variable Variable Length 1 Question I-8I Question same as RECS93 RECS 97 EXCLUDES COAL OIL From CATEGORY 0 = No 1 = Yes 8 = No Answer 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 107 1,900,000 1 1 Q 8 1 Q 9 5,791 99,600,000 Q = Data withheld because fewer than 10 observation in the category. BILLEL 'Electric Used For Other Purposes' Columns 54 Categorical Variable Variable Length 1 Question I-8J Question same as RECS93 0 = No 1 = Yes 8 = No Answer 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 34 700,000 1 74 1,200,000 8 1 Q 9 5,791 99,600,000 Q = Data withheld because fewer than 10 observation in the category. BILLUGP 'Percent Natural Gas Bill For Other Purposes' Columns 56 Categorical Variable Variable Length 1 Question I-8K Question different than RECS93 RECS 93 Anchors Question With Date 1 = Very Little (1-4%) 2 = Some (5-33%) 3 = About Half (34-66%) 4 = About Three-Quarters(67-95%) 5 = Most Of It (96-99%) 6 = Don't Know 7 = Refused 8 = No Answer 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 12 200,000 2 6 Q 3 14 200,000 4 3 Q 5 1 Q 6 1 Q 8 3 Q 9 5,860 100,700,000 Q = Data withheld because fewer than 10 observation in the category. BILLLPGP 'Percent LPG Bill For Other Purposes' Columns 58 Categorical Variable Variable Length 1 Question I-8L Question same as RECS93 RECS 93 Anchors Question With Date 1 = Very Little (1-4%) 2 = Some (5-33%) 3 = About Half (34-66%) 4 = About Three-Quarters (67-95%) 5 = Most Of IT (96-99%) 6 = Don't Know 7 = Refused 8 = No Answer 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 3 Q 2 4 Q 3 3 Q 4 2 Q 5 3 Q 9 5,885 101,200,000 Q = Data withheld because fewer than 10 observation in the category. BILLFOLP 'Percent Fuel Oil Bill For Other Purposes' Columns 60 Categorical Variable Variable Length 1 Question I-8M Question same as RECS93 RECS 93 Anchors Question With Date 1 = Very Little (1-4%) 2 = Some (5-33%) 3 = About Half (34-66%) 4 = About Three-Quarters (67-95%) 5 = Most Of IT (96-99%) 6 = Don't Know 7 = Refused 8 = No Answer 9 = Not Applicable Number Weighted Of Number of Value Observations Households 3 3 Q 6 1 Q 8 1 Q 9 5,895 101,400,000 Q = Data withheld because fewer than 10 observation in the category. BILLKERP 'Percent Kerosene Bill For Other Purposes' Columns 62 Categorical Variable Variable Length 1 Question I-8N Question different than RECS93 RECS 93 Anchors Question With Date 1 = Very Little (1-4%) 2 = Some (5-33%) 3 = About Half (34-66%) 4 = About Three-QUARTERS (67-95%) 5 = Most Of IT (96-99%) 6 = Don't Know 7 = Refused 8 = No Answer 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 1 Q 9 5,899 101,500,000 Q = Data withheld because fewer than 10 observation in the category. BILLELP 'Percent Electric Bill For Other Purposes' Columns 64 Categorical Variable Variable Length 1 Question I-8O Question different than RECS93 RECS 93 Anchors Question With Date 1 = Very Little (1-4%) 2 = Some (5-33%) 3 = About Half (34-66%) 4 = About Three-QUARTERS (67-95%) 5 = Most Of IT (96-99%) 6 = Don't Know 7 = Refused 8 = No Answer 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 18 300,000 2 15 300,000 3 18 300,000 4 9 Q 5 1 Q 6 3 Q 8 10 200,000 9 5,826 100,300,000 Q = Data withheld because fewer than 10 observation in the category.