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, 1-97 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 10 only. KAVALKER 'Kerosene Data From Supplier Or Household' 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 ORIGKRC 'Source Of Estimated Kerosene Cost' Columns 42 ORIGKERS 'Summary Code Kerosene Data Source' Columns 44-45 KAVALEL 'Electric Data From Supplier Or Household' Columns 47 PERIODEL 'Period Of Time Electric Data Available' Columns 49 ORIGELQ 'Source Of Estimated Quantity Of Electricity' Columns 51 SCALEEL 'Electric Use Scaled Down For Non household Uses' Columns 53 ORIGELC 'Source Of Estimated Cost Of Electricity' Columns 55 ORIGELS 'Summary Code For Source Of Electric Data' Columns 57-58 BEGINELR 'Type Electric Reading On Beginning Date' Columns 60 ENDELR 'Type Electric Reading On Ending Date' Columns 62 ELECRATE 'Local Electric Rate For 1000 KWH' Columns 64-66 KAVALNG 'Natural Gas Data From Supplier Or Household' Columns 68 PERIODNG 'Period Of Time Natural Gas Data Available' Columns 70 ORIGNGQ 'Source Of Estimated Quantity Of Natural Gas' Columns 72 SCALENG 'Natural Gas Use Scaled Down For Non hsld Uses' Columns 74 ORIGNGC 'Source Of Estimated Cost Of Natural Gas' Columns 76 ORIGNGS 'Summary Code For Source Of Natural Gas Data' Columns 78-79 BEGINNGR 'Type Natural Gas Reading On Beginning Date' Columns 81 ENDNGR 'Type Natural Gas Reading On Ending Date' Columns 83 UGASRATE 'Local Natural Gas Rate For MCF' Columns 85-88 KAVALFO 'Fuel Oil Data From Supplier Or Household' Columns 90 PERIODFO 'Period Of Time Fuel Oil Data Available' Columns 92 ORIGFOQ 'Source Of Estimated Quantity Of Fuel Oil' Columns 94 SCALEFO 'Fuel Oil Use Scaled Down For Non household Uses' Columns 96 ORIGFOC 'Source Of Estimated Cost Of Fuel Oil' Columns 98 ORIGFOS 'Summary Code For Source Of Fuel Oil Data' Columns 100-101 TYPEFO1 'Fuel Oil TYPE From Supplier 1' Columns 103 TYPEFO2 'Fuel Oil TYPE From Supplier 2' Columns 105 KAVALPG 'LPG Data From Supplier Or Household' Columns 107 PERIODLP 'Period Of Time LPG Data Available' Columns 109 ORIGLPQ 'Source Of Estimated Quantity Of LPG' Columns 111 SCALELP 'LP Use Scaled Down For Non household Uses' Columns 113 ORIGLPC 'Source Of Estimated Cost Of LPG' Columns 115 ORIGLPS 'Summary Code For Source Of LPG Data' Columns 117-118 TYPELP1 'LPG Type From Supplier 1' Columns 120 TYPELP2 'LPG Type From Supplier 2' Columns 122 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: 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 10. KAVALKER 'Kerosene Data From Supplier Or Household' Columns 34 Categorical Variable Variable Length 1 1 = All Uses Paid By Household 2 = Some Uses Paid By Household 3 = No Data 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 182 2,700,000 3 47 800,000 9 5,671 98,000,000 PERIODKR 'Time Period Kerosene Data Available' Columns 36 Categorical Variable Variable Length 1 1 = Data Complete 2 = Data Not Complete 5 = No Data 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 180 2,700,000 2 2 Q 5 47 800,000 9 5,671 98,000,000 Q = Data withheld because fewer than 10 observation in the category. ORIGKERQ 'Source Estimated Kerosene Quantity' Columns 38 Categorical Variable Variable Length 1 1 = Delivery Record 2 = Supplier Estimate 3 = Household Estimate 4 = Supplier Estimate For Year 8 = Regression Estimate 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 35 500,000 3 145 2,200,000 8 49 800,000 9 5,671 98,000,000 SCALEKER 'Kerosene Use Scaled Down Non Household Uses' Columns 40 Categorical Variable Variable Length 1 0 = Not Used 1 = Scale Used 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 228 3,500,000 1 1 Q 9 5,671 98,000,000 Q = Data withheld because fewer than 10 observation in the category. ORIGKRC 'Source Of Estimated Kerosene Cost' Columns 42 Categorical Variable Variable Length 1 1 = Company Records 2 = Quantity-Record; Cost-Regression 3 = Regression-Both Quantity And Cost 4 = Household Estimate 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 35 500,000 2 13 200,000 3 49 800,000 4 132 2,000,000 9 5,671 98,000,000 ORIGKERS 'Summary Code Kerosene Data Source' Columns 44-45 Categorical Variable Variable Length 2 Codes 11, 31 Apply If Some Data Are Available From the Supplier. Code 15 -- Quantity And Cost Estimate From Household. Code 16 -- Quantity Estimate From Household; Cost Imputed. Codes 41-43 Apply If the Authorization Form Is Signed, But No Data Were Received From the Supplier. Code 41 -- Includes Households For Which Mail/Telephone Questionnaires Indicated That Household Did Not Use Or Did Not Pay Directly For Fuel, But Surrogate Personal Interview Household Did Use And Pay Directly For Fuel. Code 51 -- Authorization Form Not Signed 11 = Quantity, Cost From Data 15 = Quantity, Cost Estimate From Household 16 = Quantity Household; Cost-Imputed 31 = Data Available-Not Used 41 = Household Not Identifiable 43 = No Company Contact 51 = Authorization Form Not Signed 99 = Fuel Not Used Number Weighted Of Number of Value Observations Households 11 35 500,000 15 132 2,000,000 16 13 200,000 31 2 Q 41 2 Q 43 38 600,000 51 7 Q 99 5,671 98,000,000 Q = Data withheld because fewer than 10 observation in the category. KAVALEL 'Electric Data From Supplier Or Household' Columns 47 Categorical Variable Variable Length 1 1 = All Uses Paid By Household 2 = Some Uses Paid By Household 3 = No Data 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 4,797 83,100,000 2 7 Q 3 1,094 18,200,000 9 2 Q Q = Data withheld because fewer than 10 observation in the category. PERIODEL 'Period Of Time Electric Data Available' Columns 49 Categorical Variable Variable Length 1 1 = 330 Or More Days 2 = 146 - 329 Days 3 = 60 - 145 Days 4 = 1-59 Days 5 = No Data 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 4,365 75,300,000 2 385 7,000,000 3 45 700,000 4 9 Q 5 1,094 18,200,000 9 2 Q Q = Data withheld because fewer than 10 observation in the category. ORIGELQ 'Source Of Estimated Quantity Of Electricity' Columns 51 Categorical Variable Variable Length 1 Codes 1-4 Based On Annualized Billing Records For 330 Or More Days. Billing Period Used For Annualized Estimate May Be Shorter Than Total Period Given In PERIODEL Due To Elimination Of Estimated Bills At the Ends Of the Billing Period. 1 = Actual Readings 2 = Start Estimated-End Actual 3 = Start Actual-End Estimated 4 = Both Periods Estimated 5 = 146-329 Day Estimate 6 = 60-145 Day Estimate 7 = Not All Uses Paid 8 = Regression Estimate 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 4,107 70,700,000 2 229 4,100,000 3 9 Q 4 10 200,000 5 389 7,100,000 6 14 200,000 7 6 Q 8 1,134 18,900,000 9 2 Q Q = Data withheld because fewer than 10 observation in the category. SCALEEL 'Electric Use Scaled Down For Non household Uses' Columns 53 Categorical Variable Variable Length 1 0 = Not Used 1 = Scale Used 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 5,836 100,400,000 1 62 1,100,000 9 2 Q Q = Data withheld because fewer than 10 observation in the category. ORIGELC 'Source Of Estimated Cost Of Electricity' Columns 55 Categorical Variable Variable Length 1 1 = Company Records 3 = Regression-Both Quantity And Cost 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 4,764 82,600,000 3 1,134 18,900,000 9 2 Q Q = Data withheld because fewer than 10 observation in the category. ORIGELS 'Summary Code For Source Of Electric Data' Columns 57-58 Categorical Variable Variable Length 2 Codes 11-31 Apply If Some Data Are Available From the Supplier. Codes 11 Group A Below, Apply If 330 Or More Days Of Data Are Available. Codes 21 Group B Below, Apply If 146-329 Days Of Data Are Available. Codes 23 Group C Below, Apply If 60-145 Days Of Data Are Available. Codes 25 Group D Below, Apply If Not All Uses Of The Fuel Are Paid By the Household. Codes 41-44 Group E Below, Apply If the Authorization Form Is Signed, But No Data Were Received From the Supplier. Code 41 Includes Households For Which Mail/Telephone Questionnaires Indicated That Household Did Not Use Or Did Not Pay Directly For Fuel, But Surrogate Personal Interview Household Did Use And Pay Directly For Fuel. 11 = A Quantity , Cost From Data 21 = B Quantity , Cost From Data 23 = C Quantity , Cost From Data 25 = D Quantity , Cost From Data 31 = Data Available-Not Used 41 = E Household Not Identified 43 = E No Company Contact 44 = Supplier reported that the respondent no longer lives in unit 51 = Authorization Form Not Signed 61 = Use Included In Rent 99 = Fuel Not Used Number Weighted Of Number of Value Observations Households 11 4,355 75,100,000 21 389 7,100,000 23 14 200,000 25 6 Q 31 40 700,000 41 267 4,500,000 43 2 Q 44 16 200,000 51 481 8,400,000 61 328 5,000,000 99 2 Q Q = Data withheld because fewer than 10 observation in the category. BEGINELR 'Type Electric Reading On Beginning Date' Columns 60 Categorical Variable Variable Length 1 Used Only For Annualized Estimates Based On Billing Periods Covering 60 Or More Days 1 = Actual Reading 2 = Estimated Bill 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 4,504 77,800,000 2 260 4,800,000 9 1,136 18,900,000 ENDELR 'Type Electric Reading On Ending Date' Columns 62 Categorical Variable Variable Length 1 Used Only For Annualized Estimates Based On Billing Periods Covering 60 Or More Days 1 = Actual Reading 2 = Estimated Bill 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 4,737 82,100,000 2 27 500,000 9 1,136 18,900,000 ELECRATE 'Local Electric Rate For 1000 KWH' Columns 64-66 Numerical Variable Variable Length 3 Average Residential Rate, In Cents Per Kilowatt Hour, Of Electricity Computed From Energy Information Administration, Form EIA-861, "Annual Electric Utility Report." Where Data Were Not Available, A Rate Was Imputed From Known Rates In Areas Near The Household With Missing Information. Data Includes An Error Term. Field Contains One Implied Decimal Place. 999 =Not Applicable Number Weighted Of Number of Value Observations Households 28 to 31 44 600,000 40 to 49 80 1,100,000 50 to 59 375 6,100,000 60 to 69 981 16,100,000 70 to 79 1,193 21,000,000 80 to 89 996 19,600,000 90 to 99 316 5,100,000 100 to 109 253 4,400,000 110 to 119 523 9,300,000 120 to 129 633 10,800,000 130 to 139 219 3,200,000 140 to 149 50 500,000 150 to 159 29 500,000 160 to 169 153 2,400,000 170 to 186 53 900,000 999 2 Q KAVALNG 'Natural Gas Data From Supplier Or Household' Columns 68 Categorical Variable Variable Length 1 1 = All Uses Paid By Household 2 = Some Uses Paid By Household 3 = No Data 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 2,516 45,300,000 2 70 1,300,000 3 885 15,300,000 9 2,429 39,600,000 PERIODNG 'Period Of Time Natural Gas Data Available' Columns 70 Categorical Variable Variable Length 1 1 = 330 Or More Days 2 = 146 - 329 Days 3 = 60 - 145 Days 4 = 1 - 59 Days 5 = No Data 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 2,385 43,100,000 2 169 3,000,000 3 25 400,000 4 7 Q 5 885 15,300,000 9 2,429 39,600,000 Q = Data withheld because fewer than 10 observation in the category. ORIGNGQ 'Source Of Estimated Quantity Of Natural Gas' Columns 72 Categorical Variable Variable Length 1 Codes 1-4 Based On Annualized Billing Records For 330 Or More Days. Billing Period Used For Annualized Estimate May Be Shorter Than Total Period Given In PERIODNG Due To Elimination Of Estimated Bills At the Ends Of the Billing Period. 1 = Actual Readings 2 = Start Estimated-End Actual 3 = Start Actual-End Estimated 4 = Both Periods Estimated 5 = 146-329 Day Estimate 6 = 60-145 Day Estimate 7 = Not All Uses Paid 8 = Regression Estimate 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 1,935 34,000,000 2 336 7,000,000 3 19 300,000 4 28 600,000 5 169 3,000,000 6 3 Q 7 69 1,300,000 8 912 15,800,000 9 2,429 39,600,000 Q = Data withheld because fewer than 10 observation in the category. SCALENG 'Natural Gas Use Scaled Down For Non hsld Uses' Columns 74 Categorical Variable Variable Length 1 0 = Not Used 1 = Scale Used 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 3,441 61,400,000 1 30 500,000 9 2,429 39,600,000 ORIGNGC 'Source Of Estimated Cost Of Natural Gas' Columns 76 Categorical Variable Variable Length 1 1 = Company Records 3 = Regression-Both Quantity And Cost 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 2,559 46,100,000 3 912 15,800,000 9 2,429 39,600,000 ORIGNGS 'Summary Code For Source Of Natural Gas Data' Columns 78-79 Categorical Variable Variable Length 2 Codes 11-31 Apply If Some Data Are Available From the Supplier. Codes 11 Group A Below, Apply If 330 Or More Days Of Data Are Available. Codes 21 Group B Below, Apply If 146-329 Days Of Data Are Available. Codes 23 Group C Below, Apply If 60-145 Days Of Data Are Available. Codes 25 Group D Below, Apply If Not All Uses Of The Fuel Are Paid By the Household. Codes 41-44, Group E Below, Apply If the Authorization Form Is Signed, But No Data Were Received From the Supplier. Code 41 Includes Households For Which Mail/Telephone Questionnaires Indicated That Household Did Not Use Or Did Not Pay Directly For Fuel, But Surrogate Personal Interview Household Did Use And Pay Directly For Fuel. 11 = A Quantity , Cost From Data 21 = B Quantity , Cost From Data 23 = C Quantity , Cost From Data 25 = D Quantity , Cost From Data 31 = Data Available-Not Used 41 = E Household Not Identified 42 = E Company Refused 43 = E No Company Contact 44 = Supplier reported that the respondent no longer lives in unit 51 = Authorization Form Not Signed 61 = Use Included In Rent 99 = Fuel Not Used Number Weighted Of Number of Value Observations Households 11 2,318 41,800,000 21 169 3,000,000 23 3 Q 25 69 1,300,000 31 27 500,000 41 183 3,200,000 42 1 Q 43 22 400,000 44 4 Q 51 257 4,700,000 61 418 7,000,000 99 2,429 39,600,000 Q = Data withheld because fewer than 10 observation in the category. BEGINNGR 'Type Natural Gas Reading On Beginning Date' Columns 81 Categorical Variable Variable Length 1 Used Only For Annualized Estimates Based On Billing Periods Covering 60 Or More Days 1 = Actual Reading 2 = Estimated Bill 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 2,157 37,800,000 2 402 8,300,000 9 3,341 55,400,000 ENDNGR 'Type Natural Gas Reading On Ending Date' Columns 83 Categorical Variable Variable Length 1 Used Only For Annualized Estimates Based On Billing Periods Covering 60 Or More Days 1 = Actual Reading 2 = Estimated Bill 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 2,497 44,900,000 2 62 1,200,000 9 3,341 55,400,000 UGASRATE 'Local Natural Gas Rate For MCF' Columns 85-88 Numerical Variable Variable Length 4 Average Residential Rate For MCF Of Natural Gas Computed From Form EIA- 176. Where Data Were Not Available, A Rate Was Imputed From Known Rates In Areas Near The Household With Missing Information. Data Includes An Error Term. Households That Do Not Use Natural Gas Are Coded '9999' For Not Applicable. Field Contains Two Implied Decimal Places. Number Weighted Of Number of Value Observations Households 356 to 399 28 200,000 400 to 499 260 4,000,000 500 to 599 542 10,100,000 600 to 699 1,100 20,300,000 700 to 799 631 11,900,000 800 to 899 400 7,000,000 900 to 999 179 2,900,000 1000 to 1199 293 4,700,000 1200 to 1678 38 800,000 9999 2,429 39,600,000 KAVALFO 'Fuel Oil Data From Supplier Or Household' Columns 90 Categorical Variable Variable Length 1 1 = All Uses Paid By Household 3 = No Data 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 445 6,300,000 3 265 3,600,000 9 5,190 91,500,000 PERIODFO 'Period Of Time Fuel Oil Data Available' Columns 92 Categorical Variable Variable Length 1 1 = Data Complete 2 = Data Not Complete 5 = No Data 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 402 5,800,000 2 43 600,000 5 265 3,600,000 9 5,190 91,500,000 ORIGFOQ 'Source Of Estimated Quantity Of Fuel Oil' Columns 94 Categorical Variable Variable Length 1 1 = Delivery Record 4 = Supplier Estimate For Year 8 = Regression Estimate 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 400 5,700,000 4 2 Q 8 308 4,200,000 9 5,190 91,500,000 Q = Data withheld because fewer than 10 observation in the category. SCALEFO 'Fuel Oil Use Scaled Down For Non household Uses' Columns 96 Categorical Variable Variable Length 1 0 = Not Used 1 = Scale Used 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 708 9,900,000 1 2 Q 9 5,190 91,500,000 Q = Data withheld because fewer than 10 observation in the category. ORIGFOC 'Source Of Estimated Cost Of Fuel Oil' Columns 98 Categorical Variable Variable Length 1 Quantity = Quantity Regression = Regression 1 = Company Records 3 = Regression-Both Quantity And Cost 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 402 5,800,000 3 308 4,200,000 9 5,190 91,500,000 ORIGFOS 'Summary Code For Source Of Fuel Oil Data' Columns 100-101 Categorical Variable Variable Length 2 Codes 11, 31 Apply If Some Data Are Available From the Supplier. Code 13 -- Full Year Estimate From Supplier Used For Both Quantity And Costs. Code 15 -- Quantity And Cost Estimate From Household. Codes 41-43 Apply If the Authorization Form Is Signed, But No Data Were Received From the Supplier. Code 41 Includes Households For Which Mail/Telephone Questionnaires Indicated That Household Did Not Use Or Did Not Pay Directly For Fuel, But Surrogate Personal Interview Household Did Use And Pay Directly For Fuel. 11 = Quantity , Cost From Data 13 = Full Year Quantity, Cost From Company 31 = Data Available-Not Used 41 = Household Not Identifiable 42 = Company Refused 43 = No Company Contact 51 = Authorization Form Not Signed 61 = Use Included In Rent 99 = Fuel Not Used Number Weighted Of Number of Value Observations Households 11 400 5,700,000 13 2 Q 31 43 600,000 41 27 300,000 42 4 Q 43 24 300,000 51 47 600,000 61 163 2,300,000 99 5,190 91,500,000 Q = Data withheld because fewer than 10 observation in the category. TYPEFO1 'Fuel Oil TYPE From Supplier 1' Columns 103 Categorical Variable Variable Length 1 Combination Includes Residual And Diesel Fuels 1 = Fuel Oil NO 1 2 = Fuel Oil NO 2 5 = Combination' 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 25 300,000 2 412 5,900,000 5 8 Q 9 5,455 95,200,000 Q = Data withheld because fewer than 10 observation in the category. TYPEFO2 'Fuel Oil TYPE From Supplier 2' Columns 105 Categorical Variable Variable Length 1 Combination Includes Residual And Diesel Fuels 1 = Fuel Oil NO 1 2 = Fuel Oil NO 2 5 = Combination 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 4 Q 2 2 Q 9 5,894 101,400,000 Q = Data withheld because fewer than 10 observation in the category. KAVALPG 'LPG Data From Supplier Or Household' Columns 107 Categorical Variable Variable Length 1 1 = All Uses Paid By Household 2 = Some Uses Paid By Household 3 = No Data 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 385 5,800,000 3 154 2,300,000 9 5,361 93,400,000 PERIODLP 'Period Of Time LPG Data Available' Columns 109 Categorical Variable Variable Length 1 1 = Data Complete 2 = Data Not Complete 5 = No Data 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 364 5,500,000 2 21 300,000 5 154 2,300,000 9 5,361 93,400,000 ORIGLPQ 'Source Of Estimated Quantity Of LPG' Columns 111 Categorical Variable Variable Length 1 1 = Delivery Record 3 = Household Estimate 8 = Regression Estimate 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 363 5,500,000 3 1 Q 8 175 2,600,000 9 5,361 93,400,000 Q = Data withheld because fewer than 10 observation in the category. SCALELP 'LP Use Scaled Down For Non household Uses' Columns 113 Categorical Variable Variable Length 1 0 = Not Used 1 = Scale Used 9 = Not Applicable Number Weighted Of Number of Value Observations Households 0 526 7,900,000 1 13 200,000 9 5,361 93,400,000 ORIGLPC 'Source Of Estimated Cost Of LPG' Columns 115 Categorical Variable Variable Length 1 Quantity = Quantity Regression = Regression 1 = Company Records 3 = Regression-Both Quantity And Cost 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 364 5,500,000 3 175 2,600,000 9 5,361 93,400,000 ORIGLPS 'Summary Code For Source Of LPG Data' Columns 117-118 Categorical Variable Variable Length 2 Codes 11, 31 Apply If Some Data Are Available From the Supplier. Codes 41-44 Apply If the Authorization Form Is Signed, But No Data Were Received From the Supplier. Code 41 Includes Households For Which Mail/Telephone Questionnaires Indicated That Household Did Not Use Or Did Not Pay Directly For Fuel, But Surrogate Personal Interview Household Did Use And Pay Directly For Fuel. 11 = Quantity , Cost From Data 31 = Data Available-Not Used 41 = Household Not Identifiable 42 = Company Refused 43 = No Company Contact 44 = Supplier reported that the respondent no longer lives in unit 51 = Authorization Form Not Signed 61 = Use Included In Rent 99 = Fuel Not Used Number Weighted Of Number of Value Observations Households 11 364 5,500,000 31 21 300,000 41 33 500,000 42 3 Q 43 57 800,000 44 1 Q 51 45 700,000 61 15 200,000 99 5,361 93,400,000 Q = Data withheld because fewer than 10 observation in the category. TYPELP1 'LPG Type From Supplier 1' Columns 120 Categorical Variable Variable Length 1 1 = Propane 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 385 5,800,000 9 5,515 95,700,000 TYPELP2 'LPG Type From Supplier 2' Columns 122 Categorical Variable Variable Length 1 1 = Propane 9 = Not Applicable Number Weighted Of Number of Value Observations Households 1 5 Q 9 5,895 101,400,000 Q = Data withheld because fewer than 10 observation in the category.