File layout for File 10 (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 10 only. KAVALKER 'Kerosene Paid by Household or Someone Else' Columns 34 PERIODKR 'Time Period Kerosene Data Available' Columns 36 ORIGKERQ 'Source Estimated Kerosene Quantity' Columns 38 SCALEKER 'Kerosene Use Scaled Down Non Household Uses' Columns 40 ORIGKERC 'Source Of Estimated Kerosene Cost' Columns 42 ORIGKERS 'Summary Code Kerosene Data Source' Columns 44-45 KAVALEL 'Electric Paid by Household or Someone Else' Columns 47 PERIODEL 'Period of Time Electric Data Available' Columns 49 ORIGELQ 'Source of Estimated Quantity Of Electricity' Columns 51 ORIGELC 'Source of Estimated Cost Of Electricity' Columns 53 ORIGELS 'Summary Code For Source Of Electric Data' Columns 55-56 BEGINELR 'Type Electric Reading On Beginning Date' Columns 58 ENDELR 'Type Electric Reading On Ending Date' Columns 60 KAVALNG 'Natural Gas Paid by Household or Someone Else' Columns 62 PERIODNG 'Period Of Time Natural Gas Data Available' Columns 64 ORIGNGQ 'Source Of Estimated Quantity Of Natural Gas' Columns 66 ORIGNGC 'Source Of Estimated Cost Of Natural Gas' Columns 68 ORIGNGS 'Summary Code For Source Of Natural Gas Data' Columns 70-71 BEGINNGR 'Type Natural Gas Reading On Beginning Date' Columns 73 ENDNGR 'Type Natural Gas Reading On Ending Date' Columns 75 KAVALFO 'Fuel Oil Paid by Household or Someone Else' Columns 77 PERIODFO 'Period Of Time Fuel Oil Data Available' Columns 79 ORIGFOQ 'Source Of Estimated Quantity Of Fuel Oil' Columns 81 SCALEFO 'Fuel Oil Use Scaled Down For Non household Uses' Columns 83 ORIGFOC 'Source Of Estimated Cost Of Fuel Oil' Columns 85 ORIGFOS 'Summary Code For Source Of Fuel Oil Data' Columns 87-88 KAVALLPG 'LPG Paid by Household or Someone Else' Columns 90 PERIODLP 'Period Of Time LPG Data Available' Columns 92 ORIGLPQ 'Source Of Estimated Quantity Of LPG' Columns 94 SCALELP 'LP Use Scaled Down For Non household Uses' Columns 96 ORIGLPC 'Source Of Estimated Cost Of LPG' Columns 98 ORIGLPS 'Summary Code For Source Of LPG Data' Columns 100-101 Codebook for File 10 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. KAVALKER 'Kerosene Paid by Household or Someone Else' Columns 34 1 = All uses paid by HH 3 = No data Number Weighted Of Number of Value Observations Households 1 112 2,400,000 3 27 600,000 PERIODKR 'Time Period Kerosene Data Available' Columns 36 1 = Data complete 2 = Data not complete 5 = No data Number Weighted Of Number of Value Observations Households 1 109 2,300,000 2 3 Q 5 27 600,000 Q = Data withheld because fewer than 10 observation in the category. ORIGKERQ 'Source Estimated Kerosene Quantity' Columns 38 1 = Delivery record 3 = Household estimate 8 = Regression estimate Number Weighted Of Number of Value Observations Households 1 27 500,000 3 82 1,800,000 8 30 600,000 SCALEKER 'Kerosene Use Scaled Down Non Household Uses' Columns 40 0 = Not used Number Weighted Of Number of Value Observations Households 0 139 2,900,000 ORIGKERC 'Source Of Estimated Kerosene Cost' Columns 42 1 = Company records 3 = RGS-both QTY and cost 4 = Household estimate Number Weighted Of Number of Value Observations Households 1 26 500,000 3 47 1,000,000 4 66 1,400,000 ORIGKERS 'Summary Code Kerosene Data Source' Columns 44-45 11 = QTY. cost from data 12 = QTY-data cost-imp 15 = QTY. cost estimate from HH 31 = Data avail-not used 43 = No company contact 51 = Form not signed 99 = Fuel not used Number Weighted Of Number of Value Observations Households 11 26 500,000 12 1 Q 15 66 1,400,000 16 16 400,000 31 3 Q 43 19 400,000 51 8 Q 99 4,683 104,100,000 Q = Data withheld because fewer than 10 observation in the category. KAVALEL 'Electric Paid by Household or Someone Else' Columns 47 1 = All users paid by HH 2 = Some users paid by HH 3 = No data Number Weighted Of Number of Value Observations Households 1 3,619 79,900,000 2 46 1,200,000 3 1,156 25,900,000 PERIODEL 'Period Of Time Electric Data Available' Columns 49 1 = 330 or more days 2 = 146-329 days 3 = 60-145 days 4 = 1-59 days 5 = No data Number Weighted Of Number of Value Observations Households 1 3,422 75,200,000 2 209 5,100,000 3 30 700,000 4 4 Q 5 1,156 25,900,000 Q = Data withheld because fewer than 10 observation in the category. ORIGELQ 'Source Of Estimated Quantity Of Electricity' Columns 51 1 = Actual readings 2 = Start EST-END actual 3 = Start actual-end EST 4 = Both periods EST 5 = 146-329 day estimate 6 = 60-145 day estimate 7 = Not all uses paid 8 = Regression estimate Number Weighted Of Number of Value Observations Households 1 3,171 69,700,000 2 185 3,900,000 3 7 Q 4 14 300,000 5 210 5,100,000 6 12 300,000 7 46 1,200,000 8 1,176 26,300,000 Q = Data withheld because fewer than 10 observation in the category. ORIGELC 'Source of Estimated Cost Of Electricity' Columns 53 1 = Company records 3 = REGS-BOTH and cost Number Weighted Of Number of Value Observations Households 1 3,645 80,600,000 3 1,176 26,300,000 ORIGELS 'Summary Code For Source Of Electric Data' Columns 55-56 11 = A QTY. cost from data 21 = B QTY-data cost-imp 23 = C QTY. cost from data 25 = D QTY. cost from data 31 = Data avail-not used 41 = E HH not identified 43 = E no company contact 51 = form not used 61 = Use included in rent 99 = Fuel not used Number Weighted Of Number of Value Observations Households 11 3,377 74,100,000 21 210 5,100,000 23 12 300,000 25 46 1,200,000 31 20 400,000 41 223 5,100,000 43 24 500,000 51 660 14,800,000 61 249 5,500,000 99 1 Q Q = Data withheld because fewer than 10 observation in the category. BEGINELR 'Type Electric Reading On Beginning Date' Columns 58 1 = Actual reading 2 = Estimated bill 6 = Unkown Number Weighted Of Number of Value Observations Households 1 3,436 76,200,000 2 203 4,400,000 6 6 Q Q = Data withheld because fewer than 10 observation in the category. ENDELR 'Type Electric Reading On Ending Date' Columns 60 1 = Actual reading 2 = Estimated bill 6 = Unkown Number Weighted Of Number of Value Observations Households 1 3,617 80,100,000 2 22 500,000 6 6 Q Q = Data withheld because fewer than 10 observation in the category. KAVALNG 'Natural Gas Paid by Household or Someone Else' Columns 62 1 = All uses paid by HH 2 = Some uses paid by HH 3 = No data Number Weighted Of Number of Value Observations Households 1 1,997 45,400,000 2 42 1,000,000 3 900 20,600,000 PERIODNG 'Period Of Time Natural Gas Data Available' Columns 64 1 = 330 or more days 2 = 146-329 days 3 = 60-145 days 4 = 1-59 days 5 = No data Number Weighted Of Number of Value Observations Households 1 1,888 42,700,000 2 132 3,300,000 3 14 300,000 4 5 Q 5 900 20,600,000 Q = Data withheld because fewer than 10 observation in the category. ORIGNGQ 'Source Of Estimated Quantity Of Natural Gas' Columns 66 1 = Actual reading 2 = Start EST-END EST 3 = Start ACTUAL-END EST 4 = Both period EST 5 = 146-329 day estimate 6 = 60-145 day estimate 7 = Not all uses paid 8 = Regression estimate Number Weighted Of Number of Value Observations Households 1 1,601 35,800,000 2 226 5,400,000 3 7 Q 4 18 400,000 5 127 3,200,000 6 1 Q 7 42 1,000,000 8 917 21,000,000 Q = Data withheld because fewer than 10 observation in the category. ORIGNGC 'Source Of Estimated Cost Of Natural Gas' Columns 68 1 = Company records 3 = RGS-BOTH QTY and cost Number Weighted Of Number of Value Observations Households 1 2,022 46,000,000 3 917 21,000,000 ORIGNGS 'Summary Code For Source Of Natural Gas Data' Columns 70-71 11 = A QTY. cost from data 21 = B QTY. cost from data 23 = C QTY. cost from data 25 = D QTY. cost from data 31 = Data avail-not used 41 = E HH not identified 43 = E no company contact 51 = form not used 61 = Use included in rent 99 = Fuel not used Number Weighted Of Number of Value Observations Households 11 1,852 41,800,000 21 127 3,200,000 23 1 Q 25 42 1,000,000 31 17 300,000 41 186 4,400,000 43 20 500,000 51 390 8,800,000 61 304 6,900,000 99 1,883 40,100,000 Q = Data withheld because fewer than 10 observation in the category. BEGINNGR 'Type Natural Gas Reading On Beginning Date' Columns 73 1 = Actual reading 2 = Estimated bill Number Weighted Of Number of Value Observations Households 1 1,753 39,600,000 2 269 6,400,000 ENDNGR 'Type Natural Gas Reading On Ending Date' Columns 75 1 = Actual reading 2 = Estimated bill Number Weighted Of Number of Value Observations Households 1 1,993 45,100,000 2 29 900,000 KAVALFO 'Fuel Oil Paid by Household or Someone Else' Columns 77 1 = All uses paid by HH 3 = No data Number Weighted Of Number of Value Observations Households 1 303 4,800,000 3 206 3,900,000 PERIODFO 'Period Of Time Fuel Oil Data Available' Columns 79 1 = Data complete 2 = Data not complete 5 = No data Number Weighted Of Number of Value Observations Households 1 283 4,500,000 2 20 300,000 5 206 3,900,000 ORIGFOQ 'Source Of Estimated Quantity Of Fuel Oil' Columns 81 1 = Delivery record 2 = Supplier estimate 3 = Household estimate 8 = Regression estimate Number Weighted Of Number of Value Observations Households 1 269 4,300,000 2 8 Q 3 6 Q 8 226 4,100,000 Q = Data withheld because fewer than 10 observation in the category. SCALEFO 'Fuel Oil Use Scaled Down For Non household Uses' Columns 83 0 = Not used Number Weighted Of Number of Value Observations Households 0 509 8,700,000 ORIGFOC 'Source Of Estimated Cost Of Fuel Oil' Columns 85 1 = Company record 3 = RGS-BOTH QTY and cost 4 = Household estimate Number Weighted Of Number of Value Observations Households 1 280 4,500,000 3 226 4,100,000 4 3 Q Q = Data withheld because fewer than 10 observation in the category. ORIGFOS 'Summary Code For Source Of Fuel Oil Data' Columns 87-88 11 = QTY. cost from data 13 = FY QTY. cost from co 31 = Data avail-not used 41 = HH not identified 43 = No company contact 51 = Form not used 61 = Use included in rent 99 = Fuel not used Number Weighted Of Number of Value Observations Households 11 280 4,500,000 13 3 Q 31 20 300,000 41 14 200,000 43 49 900,000 51 68 1,100,000 61 75 1,600,000 99 4,313 98,300,000 Q = Data withheld because fewer than 10 observation in the category. KAVALLPG 'LPG Paid by Household or Someone Else' Columns 90 1 = All uses paid by HH 3 = No data Number Weighted Of Number of Value Observations Households 1 303 5,400,000 3 201 3,900,000 PERIODLP 'Period Of Time LPG Data Available' Columns 92 1 = Data complete 2 = Data not complete 5 = No data Number Weighted Of Number of Value Observations Households 1 281 5,000,000 2 23 400,000 5 200 3,900,000 ORIGLPQ 'Source Of Estimated Quantity Of LPG' Columns 94 1 = Delivery record 2 = Supplier estimate 3 = Household estimate 8 = Regression estimate Number Weighted Of Number of Value Observations Households 1 272 4,900,000 2 7 Q 3 2 Q 8 223 4,400,000 Q = Data withheld because fewer than 10 observation in the category. SCALELP 'LP Use Scaled Down For Non household Uses' Columns 96 0 = Not used Number Weighted Of Number of Value Observations Households 0 504 9,400,000 ORIGLPC 'Source Of Estimated Cost Of LPG' Columns 98 1 = Company record 3 = RGS-BOTH QTY and cost 4 = Household estimate Number Weighted Of Number of Value Observations Households 1 280 5,000,000 3 223 4,400,000 4 1 Q Q = Data withheld because fewer than 10 observation in the category. ORIGLPS 'Summary Code For Source Of LPG Data' Columns 100-101 11 = QTY. cost from data 13 = FY QTY. cost from co 31 = Data avail-not used 41 = HH not identified 43 = No company contact 51 = Form not used 61 = Use included in rent 99 = Fuel not used Number Weighted Of Number of Value Observations Households 11 280 5,000,000 13 1 Q 31 23 400,000 41 25 500,000 43 82 1,600,000 51 78 1,600,000 61 15 300,000 99 4,318 97,600,000 Q = Data withheld because fewer than 10 observation in the category.