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62M0004XCB User Guide Public-use Microdata File

1. Field Size Implied Position Type Description Variable Name Decimal 187 11 2 1330 1340 n Recreation M101 188 11 2 1341 1351 n Recreation equipment and associated services M102 189 11 1352 1362 n Sports and athletic equipment M103 190 11 1363 1373 n Toys electronic games and arts hobby materials M106TOT 191 11 2 1374 1384 n Computer equipment and supplies M110 192 11 2 1385 1395 n Photographic goods and services M116 193 11 2 1396 1406 n Recreation vehicles and associated services M126 194 11 2 1407 1417 n Purchase of recreation vehicles M127 195 11 2 1418 1428 n Bicycles parts and accessories M128 196 11 2 1429 1439 n Other recreational vehicles and outboard motors M129 197 11 2 1440 1450 n Operation of recreational vehicles M139 198 11 2 1451 1461 n Bicycle maintenance and repairs M140 199 11 2 1462 1472 n Recreation vehicle operation M142TOT 200 11 2 1473 1483 n Expenses for rented and leased recreational vehicles M180 201 11 2 1484 1494 n Home entertainment equipment and services M148 202 11 2 1495 1505 n Audio eg radio CD players speakers M150 203 11 2 1506 1516 n Compact discs tapes videos and video discs M151 204 11 2 1517 1527 n Blank audio and video tapes M152 205 11 2 1528 1538 n Televisions VCRs camcorders and other television video components M153 206 11 2 1539 1549 n Rental of videotapes and video discs M156 207 11 2 1550 1560 n R
2. 4 3 6 1 Computation of approximate CVs In order to provide a way of assessing the quality of estimates Statistics Canada has produced a coefficient of variation table CV table which is applicable to estimates of averages ratios and totals obtained from this public use microdata file for the major variables of the SHS by province by territory and at the Canada level see Appendix E The CV of an estimate is defined to be the square root of the variance of the estimate divided by the estimate itself and expressed as a percentage The numerator of the CV is a measure of the sampling error of the estimate called the standard error and is calculated at Statistics Canada with the Jackknife method This method requires among other things information about the strata and the clusters which can t be given on the public use microdata file for reasons of confidentiality So that users may estimate CVs for variables not included in the CV tables Statistics Canada has produced a set of rules to obtain approximate CVs for a wide variety of estimates It should be noted that these rules provide approximate and therefore unofficial CVs The quality of the approximation however is quite satisfactory especially for the most reliable estimates Note that accuracy of this approximation is reduced when the domains become smaller Therefore the CV approximation method must be used prudently when the domains are small The document on data quality fo
3. 100 PctExpAgainstBusiness E 009 100 Variable Name Unit Type Description G010 Dollar Property taxes for owned living quarters SHS E 003 100 PctExpAgainstBusiness E 009 100 Note This is the amount billed excluding any rebates Special service charges e g garbage sewage etc local improvements and water charges are included if these are part of the property tax bill Property taxes that are included in condominium charges are excluded Variable Name Unit Type Description G011 Dollar Homeowners insurance premiums for owned living quarters SHS E 005 100 PctExpAgainstBusiness E 009 100 Note Premiums paid in the reference year for fire and comprehensive policies Premiums covering more than the survey year were not prorated Variable Name Unit Type Description SHS J 001 SHS J 003 SHS J 002 Variable Name Unit Type Description SHS J 001 Variable Name Unit Type Description SHS J 003 Variable Name Unit Type Description SHS J 002 Variable Name G019 Dollar Water fuel and electricity for principal accommodation G020 Dollar Water and sewage for principal accommodation G022 Dollar Fuel for principal accommodation for example oil gas propane wood G024 Dollar Electricity for principal accommodation G025 Statistics Canada 45 62M0004XCB Unit Type Dollar Description Other accommodation SHS K 0
4. 636 n Internet services H009 124 11 2 637 647 n Postal and other communication services H010 125 11 2 648 658 n Child care expenses H011 126 11 2 659 669 n Domestic and other custodial services H016 127 11 2 670 680 n Pet expenses H017 128 11 2 681 691 n Household cleaning supplies H022 129 11 2 692 702 n Paper plastic and foil household supplies H023 130 11 2 703 713 n Garden supplies and services H026 HOUSEHOLD FURNISHINGS AND EQUIPMENT 131 11 2 714 724 n Household furnishings and equipment 1001 132 11 2 725 735 n Household furnishings 1002 133 11 2 736 746 n Furniture 1003 134 11 2 747 757 n Rugs mats and underpadding 1004 135 11 2 758 768 n Window coverings and household textiles 1005 136 11 2 769 TT9 n Art antiques and decorative ware 1006 137 11 2 780 790 n Household equipment 1010 138 11 2 791 801 n Household appliances 1011 139 11 2 802 812 n Other household tools equipment and accessories 1027TOT 140 11 2 813 823 n Maintenance and repairs of furniture and equipment 1042 Statistics Canada 9 62M0004XCB Field Size Implied Position Type Description Variable Name Decimal 141 11 2 824 834 n Services related to furnishings and eq
5. significance where a level of significance is the probability of concluding that the characteristics are different when in fact they are identical Let EST and EST be sample estimates for 2 characteristics of interest Let the approximate CV of the difference EST EST be ACVpirr If z 1 is less than 2 then no conclusion about the difference between the characteristics is justified at the 596 level of significance If however this ratio is larger than 2 the observed difference is significant at the 596 level Example 5 Let us suppose we wish to test at the 5 level of significance the hypothesis that there is no difference between the total of spending on furnishings and equipment in Alberta and the same total in Manitoba From example 3 the approximate CV of the difference between these two estimates was found to be 5 52 and z 18 1 Since this value is greater than 2 it must be concluded that there is significant difference between the two estimates at the 0 05 level of significance 4 4 Confidentiality of the Public use Microdata Microdata files for public use differ in many ways from the master file of the survey held by Statistics Canada These variations are due to measures taken to preserve the anonymity of respondents to the survey The confidentiality of this file is ensured mainly by reducing information i e deleting variables or suppressing or collapsing some of their detail To protect co
6. 003 lt 1987 Sum SHS U 011 for each Person If SHS_A 012 between 1 and 3 and SHS_A 003 lt 1987 Sum SHS U 012 for each Person If SHS_A 012 between 1 and 3 and SHS_A 003 lt 1987 Sum SHS U 013 for each Person If SHS A 012 between 1 and 3 and SHS_A 003 lt 1987 Sum SHS U 014 for each Person If SHS_A 012 between 1 and 3 and SHS_A 003 lt 1987 Sum SHS U 015 for each Person If SHS A 012 between 1 and 3 a and SHS_A 003 lt 1987 Note Includes income for household from Child Tax Benefits Old Age Security Pension Guaranteed Income Supplement Spouse s Allowance Canada Pension Plan Benefits or Quebec Pension Plan Benefits Employment Insurance Benefits Goods and Services Tax Credit Provincial Tax Credits Social Assistance Provincial Income Supplements Workers Compensation Benefits Veterans Pensions Civilian War Pensions and Allowances and Other Income from Government Sources Variable Name HHINCOTH Unit Type Dollar Description Household income from other sources Sum SHS U 016 for each Person If SHS_A 012 between 1 and 3 and SHS_A 003 lt 1987 Sum SHS U 018 for each Person If SHS A 012 between 1 and 3 and SHS_A 003 lt 1987 Note Includes household income from retirement pensions superannuation annuities RRIF withdrawals and other income such as alimony child support retirement Statistics Canada 33 62M0004XCB allowance scholarships and income from outsi
7. 2 Piped gas natural gas 3 Electricity 4 Bottled gas wood or other Note The principal winter fuel used in the principal heating equipment is given here e g oil or other liquid fuel piped or bottled gas electricity wood or other fuels Variable Name HOTWATEP Unit Type Code Description Principal heating fuel for hot water 1 If SHS B 013 19 2 If SHS 013 20 3 If SHS_B 013 21 23 24 or 25 4 IF SHS 013 22 Code Description 1 Oil or other liquid fuel 2 Piped gas natural gas 3 Bottled gas propane wood other or no running hot water 4 Electricity Note This variable indicates the type of fuel used for the running hot water supply e g oil or other liquid fuel piped gas electricity or other fuels such as bottled gas or wood Variable Name COOKINGP Unit Type Code Description Principal cooking fuel 1 If SHS_B 015 27 2 If SHS_B 015 29 3 If SHS_B 015 26 28 30 or 31 Code Description Statistics Canada 20 62M0004XCB 1 Piped gas natural gas 2 Electricity 3 Oil or other liquid fuel bottled gas propane wood or other Note This variable indicates the main fuel for the range or stove on which the household does most of the cooking e g piped gas electricity oil or other liquid fuel bottled gas and wood Variable Name REDURENT Unit Type Code Description Reduced rent reason SHS_1 005 Code Description 0 Dwelling not rented 1 Gov
8. PctVehExpAgainstBus Q 039 100 for each vehicle Sum SHS Q 037 100 PctVehExpAgainstBus_Q 039 100 for each vehicle Variable Name K003 Unit Type Dollar Description Purchase of automobiles and trucks vans Sum SHS Q 015 for each vehicle If SHS 0 012 1 Sum SHS Q 015 for each vehicle If SHS 0 012 2 or 3 Sum SHS Q 025 1 for each vehicle Note Net purchase price including extra equipment accessories and warranties bought when the vehicle was purchased after deducting any trade in allowance or separate sales Separate sales occur when a vehicle is sold independently by the owner e g not traded in when purchasing or leasing another vehicle Variable Name K007 Unit Type Dollar Description Purchase of automotive accessories Statistics Canada 55 62M0004XCB Sum SHS Q 031 100 PctVehExpAgainstBus Q 039 100 for each vehicle Variable Name Unit Type Description SHS Q 201 SHS Q 202 SHS Q 203 SHS Q 204 SHS Q 205 SHS Q 206 K008 Dollar Rented and leased automobiles and trucks vans Sum SHS Q 017 for each vehicle Sum SHS Q 018 for each vehicle Variable Name K019 Unit Type Dollar Description Operation of owned and leased automobiles and trucks vans Sum SHS Q 030 100 PctVehExpAgainstBus Q 039 100 for each vehicle Sum SHS_Q 032 100 PctVehExpAgainstBus Q 039 100 for each vehicle Sum SHS Q 033 100 PctVehExpAgainstBus Q 039 100 for each vehicle SHS 0
9. Variable Name 0306 Unit Type Dollar Description Canada and Quebec Pension Plan Sum SHS V 009 for each Person If SHS_A 012 between 1 and 3 and SHS_A 003 lt 1987 Variable Name 0307 Unit Type Dollar Description Other government pension funds Sum SHS V 008 for each Person If SHS_A 012 between 1 and 3 and SHS_A 003 lt 1987 Variable Name 0308 Unit Type Dollar Description Other retirement or pension funds excluding Registered Retirement Savings Plans RRSPs Sum SHS_V 010 for each Person If SHS_A 012 between 1 and 3 and SHS_A 003 lt 1987 Variable Name 0401 Unit Type Dollar Description Total gifts of money and contributions Sum SHS V 012for each Person If SHS_A 012 between 1 and 3 and SHS_A 003 lt 1987 Sum SHS V 013 for each Person If SHS_A 012 between 1 and 3 and SHS_A 003 lt 1987 Sum SHS V 014 for each Person If SHS_A 012 between 1 and 3 and SHS_A 003 lt 1987 Sum SHS V 015 for each Person If SHS_A 012 between 1 and 3 and SHS_A 003 lt 1987 Sum SHS V 016 for each Person If SHS_A 012 between 1 and 3 and SHS_A 003 1987 potestas mMm Note This includes money and support payments given to persons outside the household or to charity Prior to 1997 money spent on gifts of goods and services to persons outside the household were reported separately Starting in 1997 these expenditures are included in each category The following new categories were added under Cl
10. Variable Name 6001 Unit Type Dollar Description Total shelter SHS 1 002 SHS 1 003 100 PctRentAgainstBusiness_1 011 100 SHS_1 004 100 PctRentAgainstBusiness l 011 100 SHS 1 006 100 PctRentAgainstBusiness_1 011 100 SHS 007 100 PctRentAgainstBusiness_1 011 100 SHS_G 002 SHS_G 003 SHS_G 004 SHS_G 005 SHS_G 006 SHS_G 007 SHS_E 003 100 PctExpAgainstBusiness E 009 100 if SHS_G 014 1 SHS_G 016 if SHS_G 015 1 SHS_H 008 SHS_H 011 SHS_H 014 SHS_H 017 SHS_H 019 SHS_H 021 SHS E 006 100 PctExpAgainstBusiness_E 009 100 SHS E 003 100 PctExpAgainstBusiness E 009 100 SHS E 005 100 PctExpAgainstBusiness E 009 100 SHS F 007 SHS F 008 SHS G 016 SHS F 009 SHS F 004 SHS J 001 SHS J 003 SHS J 002 SHS K 010 SHS K 011 SHS K 012 SHS K 013 SHS K 014 SHS J 005 SHS J 006 Note Shelter includes expenditures on principal accommodation either owned or rented and on other accommodation such as vacation homes or accommodation while travelling Prior to 1997 in the Family Expenditure Survey mortgage interest payments were reported in the Shelter category under both Owned living quarters and Owned vacation homes Mortgage principal payments were reported under Net change in assets and liabilities since they were considered to pertain to a change in the Statistics Canada 42 62M0004XCB value of household assets For th
11. Dollar Description Magazines and periodicals SHS 5 031 Variable Name M204 Unit Type Dollar Description Books and pamphlets excluding school books SHS 8 032 3 17 Expenditure Education Variable Name M301 Unit Type Dollar Description Total education SHS 8 042 SHS_S 045 SHS_S 041 SHS_S 044 SHS_S 040 SHS_S 043 SHS_S 046 SHS_S 047 Variable Name M302TOT Unit Type Dollar Description Education supplies and textbooks SHS 5 041 SHS_ 042 SHS S 044 SHS S 045 Variable Name M308 Unit Type Dollar Description Tuition fees SHS S 040 SHS 5 043 3 18 Expenditure Tobacco Products and Alcoholic Beverages Variable Name N101 Unit Type Dollar Statistics Canada 69 62M0004XCB Description SHS T 001 SHS T 002 SHS N 011 SHS N 006 SHS N 007 Variable Name Unit Type Description SHS T 001 SHS T 002 Variable Name Unit Type Description SHS T 001 Variable Name Unit Type Description SHS N 011 SHS N 006 SHS N 007 Variable Name Unit Type Description SHS N 011 Variable Name Unit Type Description SHS N 006 Variable Name Unit Type Description SHS N 007 Total tobacco products and alcoholic beverages N102 Dollar Tobacco products and smokers supplies N103 Dollar Cigarettes cigars and tobacco N105 Dollar Alcoholic beverages N106 Dollar Alcoholic beverages served on licensed premis
12. SHS 001 between 1 and 11 or when SHS E 002 between 1 and 11 SHS D 001 1 SHS 001 12 or when SHS E 002 between 1 and 11 SHS D 001 2 SHS 001 12 Statistics Canada 16 62M0004XCB or when SHS E 002 between 1 and 11 SHS 0 001 3 SHS 1 001 between 1 and 11 or when SHS E 002 between 1 and 11 SHS_D 001 4 SHS 1 001 between 1 and 11 or when SHS E 002 12 SHS 0 001 3 SHS 1 001 between 1 and 11 or when SHS E 002 12 SHS D 001 4 SHS 001 between 1 and 11 Code Description 1 Owned without mortgage during the reference year 2 Owned with mortgage during the reference year 3 Rented or occupied rent free during the reference year 4 Mixed tenure during the reference year Note Owned with mortgage indicates that the dwelling was owned by a household member for the entire reference year and that there is a mortgage as of December 31 Owned without mortgage indicates that the dwelling was owned by a household member for the entire reference year and that there was no mortgage as of December 31 Rented or occupied rent free indicates that the dwelling was rented or occupied rent free by a household member for the entire reference year Mixed tenure includes those households that both owned and rented during the reference year Variable Name TENDC31P Unit Type Code Description Dwelling tenure at December 31 1 If SHS_D 001 1 2 If SHS_D 001 2 3 If SHS_D 001 3 or 4 Code Descript
13. This variable classifies households according to whether their dwelling has at least one bathroom and is in reasonable repair Adequate SHS_B 004 need for repairs 19 minor or 20 none AND SHS_B 007 no of bathrooms 1 or more Code Description 0 Adequate 1 Not adequate Variable Name AFFORDAB Unit Type Code Description Housing affordability indicator This variable was developed by Statistics Canada for Canada Mortgage and Housing Corporation CMHC This variable uses a shelter cost to income ratio STIR to see if households spend more than an accepted amount on shelter expenditures of 30 per cent or more are considered above the norm Rent SHS 1 002 Regular mortgage 5 G 002 SHS_G 003 SHS_G 004 SHS G 005 SHS_G 006 SHS_G 007 SHS 003 100 PctExpAgainstBusiness_E 009 100 if SHS_G 014 1 SHS G 016 if SHS_G 015 1 Condo charges SHS E 006 Property taxes SHS E 003 Water fuel and electricity SHS_J 001 SHS J 002 SHS J 003 Household income before taxes SHS U 004 to SHS U 018 excluding personal income tax refunds SHS U 017 On this file the housing affordability indicator is calculated as follows Affordable Rent Regular mortgage payments Condominium charges Property taxes Water fuel and electricity Household income before taxes less than 30 Not affordable Rent Regular mortgage payments Condominium charges Property taxes Water fuel and el
14. Variable Name DRYERP Unit Type Code Description Clothes dryer Statistics Canada 35 62M0004XCB 0 If SHS_C 012 3 1 If SHS_C 012 1 2 If SHS_C 012 2 Code Description 0 None 1 Electric 2 Gas Note Dryers may be electric or gas Clothes dryers located outside the dwelling and shared with other households are excluded Variable Name DSHWASH Unit Type Code Description Dishwasher 0 If SHS_C 010 No 1 If SHS C 010 Yes Code Description 0 No 1 Yes Note Dishwashers may be built in or portable Variable Name NMFRIDGP Unit Type Count Description Number of refrigerators 0 If SHS_C 001 0 1 If SHS C 001 1 2 If SHS_C 001 2 3 If SHS_C 001 3 OR gt 3 Code Description 0 None 1 1 2 2 3 3 or more Variable Name FREEZER Unit Type Code Description Freezer 0 If SHS C 009 No 1 If SHS C 009 Yes Code Description 0 No 1 Yes Note Afreezer is an individual piece of equipment and not part of a refrigeration unit such as the freezer in a refrigerator Statistics Canada 36 62M0004XCB Variable Name MICROWV Unit Type Code Description Microwave oven 0 If SHS C 008 No 1 If SHS C 008 Yes Code Description 0 No 1 Yes Variable Name AIRCONP Unit Type Code Description Air conditioner 0 If SHS_C 013 3 1 If SHS C 013 1 2 If SHS_C 013 2 Code Description 0 None 1 Window type 2 Central Note A central air conditione
15. loans and other debts Also starting in 1997 expenditures for Games of chance formerly included under Miscellaneous became a separate sub category Caution should therefore be used when comparing these data to data from previous years The categories Total current consumption and Total expenditure are also affected since Miscellaneous is a component of these categories Variable Name 0104 Unit Type Dollar Description Financial services SHS_T 003 SHS_T 004 SHS_T 005 SHS_T 006 Variable Name 0109 Unit Type Dollar Description Dues to unions and professional associations Sum SHS V 011 for each Person If SHS_A 012 between 1 and 3 and SHS_A 003 lt 1987 Variable Name N201 Unit Type Dollar Description Games of chance net of winnings Statistics Canada 71 62M0004XCB SHS T 007 SHS T 013 SHS T 009 SHS T 011 SHS_T 008 SHS T 010 SHS T 012 SHS_T 014 1 if SHS_T 008 SHS_T 010 SHS T 012 SHS T 014 lt SHS_T 007 SHS_T 009 SHS_T 011 SHS 013 otherwise SHS_T 007 SHS_T 009 SHS_T 011 SHS_T 013 1 1 Note Games of chance net equals the sum of expenditures on all types of games of chance minus the sum of winnings from all types of games of chance However if total winnings are greater than total expenditures the amount to be subtracted from expenditures is set to 1 less than the expenditures and the value of the remaining winnings is moved to t
16. 0 otherwise Define variable Y as the product of and Z 3 Do step 4 to step 9 for each province separately 4 Calculate the sum over all the households of the product of the final weight section Weighting and Y this sum represents the estimate of the total for the domain of interest in the province under consideration 5 Calculate the sum over all the households of the product of the final weight and the household size 6 Divide the result obtained in step 4 by the result obtained in step 5 7 Foreach household multiply the result obtained in step 6 by the household size 8 For each household define a variable say E by the subtraction of the result obtained in step 7 from Y 9 Calculate the sum over all the households of the product of the final weight minus 1 the final weight and E squared this sum represents the estimated variance of the total estimated at step 4 10 Add up the result obtained in step 9 for each province 11 The ACV is defined to be 100 times the square root of the result obtained in step 10 divided by the estimate The estimate is the sum over all the provinces of the result obtained in step 4 More formally steps 1 to 10 above can be obtained with the following formula 12 2 Lutes w Dw b EC pe wY a m A where the index p corresponds to provinces S is the sample of respondents for the province the index k corresponds to households is the final weight for
17. 1921 1945 1946 1960 1961 1970 1971 1980 1981 1990 1991 2000 2001 As of December 31 2001 was your residence Owned mortgage free by your household Owned with one or more mortgages by your household Rented by your household Occupied rent free by your household Totalling of categorical estimates Estimates of the number of persons with a given characteristic can be obtained from the microdata file by adding the final weights of all records containing the desired characteristic or characteristics Percentages and ratios in the X Y form are obtained as follows a by adding the final weights of records containing the desired characteristic for the numerator X b by adding the final weights of records containing the desired characteristic for the denominator Y C by dividing the estimate for the numerator by the estimate for the denominator 4 3 4 2 Quantitative estimates Quantitative estimates are estimates of totals or means medians or other central tendency measurements of quantities based on all members of the observed population or based on some of them They also explicitly include estimates in the form X Y where X is an estimate of the total quantity for the observed population and Y is an estimate of the number of individuals in the observed population who contribute to that total quantity An example of a quantitative estimate is mean annual expenditure for personal and health care per household
18. A 007 1 Note Top coded at 2 in the public use file Variable Name 8 65031 Unit Type Count Description Number of seniors aged 65 or more at December 31 Code Description 0 1 Actual numbers 2 2 or more Count of persons having age reference year year of birth A 003 64 and person data collection code A 012 1 to 3 and member on December 31 A 007 1 Note Top coded at 2 in the public use file Variable Name HHSZTOT Unit Type Count Description Household size number of persons a member sometime in reference year Code Description 1 5 Actual numbers 6 6 or more Count of persons in the household with person data collection code SHS A 012 1 to Note Top coded at 6 in the public use file Variable Name AGEYOUNP Unit Type Count Description Age of youngest child member sometime in reference year This is the lowest age reference year year of birth SHS_A 003 of any person in the household with relationship SHS A 002 and marital status SHS_A 005 and person data collection code SHS_A 012 1 to 3 if present otherwise set to 99 Code Description 00 to 24 Actual numbers in years 25 25 years and over 99 Without children Variable Name NUMWKS Unit Type Count Description Total number of weeks a member of household sum for all household members SHS_A 009 Statistics Canada 30 62M0004XCB Code Description 001 311 Actual numbers 312 312 or more Note Divide
19. Benefits Veterans Pensions Civilian War Pensions and Allowances and Other Income from Government Sources Variable Name SPINCOTH Unit Type Dollar Description Income of spouse from other sources Sum SHS U 016 for Spouse of Reference Person If SHS_A 012 between 1 and 3 Sum SHS U 018 for Spouse of Reference Person If SHS_A 012 between 1 and 3 Note Includes income for spouse of reference person from retirement pensions superannuation annuities RRIF withdrawals and other income such as alimony separation allowance child support retirement allowance severance pay income maintenance plan payments scholarships bursaries and income from outside Canada Variable Name SPAGEP Unit Type Count Description Age of spouse Statistics Canada 25 62M0004XCB SHS A 003 Code Description 24 Less than 25 years 25 to 79 Actual numbers in years 80 80 84 years 85 85 years and over 99 No spouse Variable Name SPAGEGRP Unit Type Code Description Age group of spouse SHS A 003 Code Description 01 Less than 25 years 02 25 29 years 03 30 34 04 35 39 05 40 44 06 45 49 07 50 54 08 55 59 09 60 64 10 65 69 11 70 74 12 75 79 13 80 84 14 85 years and over 99 No spouse Variable Name SPSEX Unit Type Code Description Sex of spouse Sex SHS A 004 of person having relationship SHS 002 2 Code Description 1 Male 2 Female 9 No spouse Variable Name SPWEEKFT Unit
20. If SHS_A 012 between 1 3 Sum SHS U 007 for Spouse of Reference Person If SHS_A 012 between 1 and 3 Sum SHS U 008 for Spouse of Reference Person If SHS_A 012 between 1 and Sum rum SHS U 009 for Spouse of Reference Person If SHS_A 012 between 1 and 3 SHS U 010 for Spouse of Reference Person If SHS_A 012 between 1 and um SHS U 012 for Spouse of Reference Person If SHS A 012 between 1 and Sum SHS U 014 for Spouse of Reference Person If Sum SHS U 015 for Spouse of Reference Person If Sum SHS U 016 for Spouse of Reference Person If Sum SHS U 018 for Spouse of Reference Person If Variable Name SPINCEAR Unit Type Dollar Description Income of spouse from earnings um SHS U 011 for Spouse of Reference Person If SHS_A 012 between 1 and 3 SHS_A 012 between 1 and 3 SHS_A 012 between 1 and 3 SHS_A 012 between 1 and 3 Sum for Spouse of Reference Person If SHS_A 012 between 1 3 SHS A 012 between 1 and 3 Sum SHS U 004 for Spouse of Reference Person If SHS_A 012 between 1 and 3 Sum SHS U 005 for Spouse of Reference Person If SHS_A 012 between 1 and 3 Statistics Canada 24 62M0004XCB Sum SHS U 006 for Spouse of Reference Person If SHS_A 012 between 1 and 3 Sum SHS U 007 for Spouse of Reference Person If SHS_A 012 between 1 and 3 Note Includes income for spouse of reference person from wages and
21. Maximum Values Public use Microdata File SHS 2001 Full year Households Part 3 of 3 Averages and Aggregates Unsuppressed Survey File SHS 2001 Full year and Part year Households APPENDIX C Inclusion of Spending Variables in Past Microdata Files APPENDIX D Comparison of Variables from the 2000 and the 2001 SHS APPENDIX E Technical Table 1 Coefficients of Variation for Average Household Expenditures 2001 Technical Table 2 Coefficients of Variation for Dwelling Characteristics and Household Equipment 2001 Statistics Canada 98 62M0004XCB
22. Old Age Security Pension Guaranteed Income Supplement Spouse s Allowance Canada Pension Plan Benefits or Quebec Pension Plan Benefits Employment Insurance Benefits Goods and Services Tax Credit Provincial Tax Credits Social Assistance Provincial Income Supplements Workers Compensation Benefits Veterans Pensions Civilian War Pensions and Allowances and Other Income from Government Sources Variable Name RPINCOTH Unit Type Dollar Description Income of reference person from other sources Sum SHS U 016 for Reference Person If SHS 012 between 1 and 3 Sum SHS U 018 for Reference Person If SHS_A 012 between 1 and 3 Note Includes income of reference person from retirement pensions superannuation annuities RRIF withdrawals and other income such as alimony separation allowance child support retirement allowance severance pay income maintenance plan payments scholarships bursaries and income from outside Canada Variable Name RPMARP Unit Type Code Description Marital status of reference person SHS A 005 Statistics Canada 22 62M0004XCB Code Description 1 Married or common law 2 Never married single 3 Other separated divorced or widowed Variable Name RPAGEP Unit Type Count Description Age of reference person SHS A 003 Code Description 24 Less than 25 years 25 to 79 Actual numbers in years 80 80 84 years 85 85 years and over Variable Name RPAGEGRP Unit Type Code
23. Person Income of reference person from earnings If SHS A 012 between 1 and 3 If SHS_A 012 between 1 and 3 If SHS A 012 between 1 and 3 If SHS_A 012 between 1 and 3 Includes income for reference person from earnings investment government Statistics Canada 21 62M0004XCB Note Includes income for reference person from wages and salaries net income from self employment and gross income from roomers and boarders Variable Name RPINCINV Unit Type Dollar Description Income of reference person from investment Sum SHS U 008 for Reference Person If SHS_A 012 between 1 and 3 Note Includes income for reference person from dividends interest and other investment income such as net rental income or interest received from loans or mortgages Variable Name RPINCTRA Unit Type Dollar Description Income of reference person from government transfer payments Sum SHS U 009 for Reference Person If SHS A 012 between 1 and 3 Sum SHS U 010 for Reference Person If SHS_A 012 between 1 and 3 Sum SHS U 011 for Reference Person If SHS_A 012 between 1 and 3 Sum SHS U 012 for Reference Person If SHS_A 012 between 1 and 3 Sum SHS U 013 for Reference Person If SHS_A 012 between 1 and 3 Sum SHS U 014 for Reference Person If SHS_A 012 between 1 and 3 Sum SHS U 015 for Reference Person If SHS_A 012 between 1 and 3 Note Includes income for reference person from Child Tax Benefits
24. SHS_Y 015 for each loan Sum SHS Y 014 SHS Y 017 for each loan 1 SHS Y 114 SHS Y 115 SHS Y 117 SHS Y 118 SHS Y 111 SHS Y 112 Statistics Canada 34 62M0004XCB SHS Y 120 SHS Y 121 SHS Y 116 SHS Y 119 SHS Y 113 SHS Y 122 Note Money flows are net changes during the survey year in bank balances money on hand money owed to the household money owed by the household purchase and sale of stocks and bonds personal property and real estate expenditures on home additions renovations and new installations and contributions to and withdrawals from registered retirement savings plans Net change in assets and liabilities was the term used in 1996 and earlier Family Expenditure Surveys See note under G001 Variable Name RRSPCHNG Unit Type Dollar Description Registered Retirement Savings Plan RRSP change SHS W 007 SHS_W 008 Note Contributions to RRSP minus withdrawals from RRSP at the household level Variable Name EIFLAG Unit Type Code Description Employment insurance benefit El indicator SHS U 012 Code Description 0 Employment insurance benefit 0 1 Employment insurance benefit gt 0 3 6 Household Equipment at December 31 Variable Name WASHER Unit Type Code Description Washing machine 0 If SHS_C 011 No 1 If SHS_C 011 Yes Code Description 0 No 1 Yes Note Washing machines located outside the dwelling and shared with other households are excluded
25. Type Count Description Number of weeks worked full time by spouse SHS U 002 Code Description 00 to 52 Actual numbers 99 No spouse Variable Name SPWEEKPT Unit Type Count Description Number of weeks worked part time by spouse SHS U 003 Statistics Canada 26 62M0004XCB Code Description 00 to 52 Actual numbers 99 No spouse Variable Name SPPREVDW Unit Type Code Description Tenure of previous dwelling of spouse SHS D 005 Code Description Before 1996 Owned Rented Did not maintain own dwelling No spouse ORWNDN Note Households that moved to their dwelling before 1996 were not asked this question 3 5 Household Description Variable Name ECFAM Unit Type Count Description Number of economic families in household SHS_A 006 Code Description 1 1 2 2 or more Note In the Survey of Household Spending one person households are included in code 1 However the Census definition of an economic family is a group of two or more persons who live in the same dwelling and are related to each other by blood marriage common law or adoption Variable Name HHTYPEP Unit Type Code Description Household type 1 One person household Size of household 1 2 Couple household only Couple household with no children and no additional persons Size of household 2 and marital status A 005 1 or 2 and member of household December 31 A 007 1 and person data collection code A 012 1 to 3
26. aged 4 and girl aged 2 is expected to require 2 bedrooms When the boy turns 5 years old the requirement would increase to 3 bedrooms Code Description 0 0 indicates bachelor apartment 1 1 2 2 3 3 4 4 5 5 or more Note The National Occupancy Standard was developed by CMHC through a formal Federal Provincial Territorial consultation process to encompass the commonalities of all the provincial territorial occupancy standards and to serve as Canada s official housing suitability measure or indicator See also CMHC Socio Economic Research Highlights Issue 55 1 Special Studies on 1996 Census Data Canadian Housing Conditions page 1 and footnote 3 www cmhc schl gc ca publications en rh pr index html Variable Name MONRENT Unit Type Code Description Monthly serviced rental payments SHS 1 002 SHS 001 SHS J 002 SHS J 003 12 Rent Water Electricity Fuel divided by 12 Calculated for households where 1 Dwelling tenure during reference year TENURYRP 3 rented and 2 Months household occupied a rented dwelling 1 001 12 and 3 Reduced rent reason 3 no reduced rent and 4 Dwelling repairs needed 2 or 3 minor or no repairs needed Households not meeting above criteria have this field set to 000000000 00 Note Criteria 1 and 2 do not always yield the same records because of the presence of part year members who may have had a different housing tenure than the reference person So using
27. by an automated batch edit system 4 1 5 Data Processing and Quality Control Data entry and automated editing for the 2001 Survey of Household Spending took place in the Statistics Canada regional offices This allowed respondents to be contacted in the event that more information was required to resolve an inconsistency on their questionnaires After data entry an automated physical edit system checked for data entry errors Data had to pass a two tier edit system consisting of must pass edits that checked questionnaires for logic and consistency and warnings that indicated that a particular situation was unusual and could require correction The invocation of either type of edit resulted in the intervention of a member of one of the specially trained edit resolution teams Further editing of the data took place in head office where invalid responses were corrected Missing responses were imputed using the nearest neighbour method Statistics Canada s Canadian Census Edit and Imputation System CANCEIS was used to insert values from donor records having similar characteristics chosen specifically to fit the variable For example total household income was used for most variables dwelling type household size and province were also frequently used Tabulation for the 2001 Survey of Household Spending was accomplished using a PC client server based system This system provides tools database querying searching and viewing capabilities
28. for households consisting of more than one person living in a single family dwelling 2 Binary variable is equal to 1 for all households consisting of at least one person and variable X is equal to 1 for all households the members of which live in a single family dwelling 3 Binary variable is equal to 1 for all households the members of which live in a single family dwelling and variable X is equal to 1 for all households made up of more than one person 4 Binary variable is equal to 1 for all households made up of more than one person living in a single family dwelling and X is equal to 1 for all households Whatever approach is used the resulting Y variable step 2 will be equal to 1 if the household possesses all the necessary features more than one person and living in a single family dwelling If not it will be equal to 0 Results in terms of point estimates and estimates of variance CV will thus be the same Statistics Canada 92 62M0004XCB Part 2 Actual cases based on the microdata file Example 1a Approximation of CV for estimates of totals quantitative variable Let us assume that we have estimated that household furnishings and equipment expenditures for one person households in Manitoba total 85 578 325 We have to estimate the approximate CV for this estimate Users must therefore follow steps 1 to 11 of rule 1 1 Create a binary variable whose value is 1 if the household is a one person household a
29. for both reference person and spouse 3 Couple household with single children only Couple household with single children and no additional persons Marital status A 005 1 or 2 and member of household December 31 A 007 1 and person data collection code A 012 1 to 3 for both reference person and spouse and primary children gt 0 and secondary persons 0 Statistics Canada 27 62M0004XCB 4 Couple household with other relative s Couple household with additional related persons these households may or may not have children Marital status A 005 1 or 2 and member of household December 31 A 007 1 and person data collection code A 012 7 1 to 3 for both reference person and spouse and related secondary persons gt 0 and unrelated secondary persons 0 Couple household with unrelated person s Couple household with additional persons at least one person unrelated these households may or may not have children Marital status A 005 1 or 2 and member of household December 31 A 007 1 and person data collection code A 012 1 to 3 for both reference person and spouse and unrelated secondary persons 0 5 Lone parent household with no additional persons No person with relationship A 002 02 and primary children gt 0 and secondary persons 0 6 Other household all persons related Any other household where related secondary persons gt 0 and unrelated secondary persons 0 or household with spouse not married
30. for spotting systematic errors A detailed description of the Labour Force Survey sampling frame can be found in Methodology of the Canadian Labour Force Survey Statistics Canada Catalogue no 71 526 XPB Statistics Canada 79 62M0004XCB 4 1 6 Weighting The estimation of population characteristics from a sample survey is based on the premise that each sampled unit represents a certain number of units in the population A basic survey weight was attached to each record in the sample to reflect this representation These basic weights were adjusted for non response for selected metropolitan areas additional geographical areas and high income strata The additional geographical areas comprise the remaining metropolitan areas and urban and rural areas based on census definitions but do not necessarily correspond exactly For definitions of these terms refer to the 1996 Census Dictionary Catalogue no 92 351 XPE To increase the reliability of the estimates weights were adjusted to ensure that estimates based on relevant characteristics of the population would respect population totals from sources other than the survey For the ten provinces there are two sets of totals The first set of totals for age sex groups household size and household type at the province level are based on projections at mid January 2002 using the 1996 Census of Population adjusted for net undercoverage Controls for 18 age sex groups are used These are
31. have been suppressed in SHS releases for spending on items reported by fewer than 30 households However data for suppressed items do contribute to summary level variables For example the expenditure for a particular category of clothing might be suppressed but this amount forms part of the total expenditure estimate for clothing 4 2 2 Non Sampling Error Non sampling errors occur because certain factors make it difficult to obtain accurate responses or responses that retain their accuracy throughout processing Unlike sampling error non sampling error is not readily quantified Four sources of non sampling error can be identified coverage error response error non response error and processing error Statistics Canada 81 62M0004XCB 4 2 2 1 Coverage Error Coverage error results from inadequate representation of the intended population This error may occur during sample design or selection or during data collection and processing 4 2 2 2 Response Error Response error may be due to many factors including faulty design of the questionnaire interviewers or respondents misinterpretation of questions or respondents faulty reporting In the Survey of Household Spending the difference between receipts and disbursements is calculated as a check on respondents recall This important quality control tool involves the balancing of receipts income and other money received by the household and disbursements total expenditure plus
32. if itis not Y1 is defined as the product of and Z1 Y2 as the product of and Z2 etc The estimates obtained are 3 082 028 for the set of one person households 952 142 for single family dwellings 98 563 for semi detached houses 161 883 for town houses and 1 869 440 for other We want to calculate the approximate CVs for these estimates Figure 6 shows the results for some steps in the calculation of the approximate CV The results presented for steps 4 to 9 are the results for Manitoba presented as an example for a Single family single detached 5 Semi detached double 6 Town houses row or terrace T Other duplex apartment hotel mobile home other Statistics Canada 93 62M0004XCB province they will be used for comparison in the next example while those presented for steps 10 and 11 are Canada wide Figure 6 Calculation of ACV Step Number of one Number of one Number of one Number of Number of one person person person one person person households households households households living households living in other living in a in a semi living in a housing single family detached dwelling townhouse dwelling 4 117 448 51 994 1 822 6 584 57 048 5 1 058 704 1 058 704 1 058 704 1 058 704 1 058 704 6 0 11 0 05 0 00 0 01 0 05 9 43 163 783 17 530 371 544 174 1 872 191 19 029 838 10 5 757 809 507 1 431 273 896 206 119 879 245 917 101 3 551 605 161 11 2 46 3 97 14 57 9 69 3 19 Example 1c Approximatio
33. in the target population The numerator corresponds to an estimate of total annual expenditure for personal and health care and the denominator corresponds to an estimate of the number of households in the population Example of quantitative question In 2001 how much did your household spend for telephone service Totalling of quantitative estimates Quantitative estimates can be obtained from the microdata file by multiplying the value ofthe desired variable by the final weight of each record and then adding this quantity for all records of interest For example to obtain an estimate of total expenditure by households that were owners on December 31 for electricity the value reported for the question In 2001 how much did your household spend on electricity is multiplied by the final weight of the record and then that result is summed over all records with a positive response to the Statistics Canada 86 62M0004XCB question On December 31 2001 was your house Owned mortgage free by your household or Owned with one or more mortgages by your household To obtain a weighted mean expressed by the formula X Y the numerator X is calculated as a quantitative estimate and the denominator Y as a categorical estimate For example to estimate mean household expenditures for electricity by owners you must a estimate the total expenditure for electricity for households where the residence is owned using the method describe
34. lies within a range of 1 standard error of the estimate for 68 of all samples and 2 standard errors for 95 of all samples The coefficient of variation CV is the standard error expressed as a percentage of the estimate It is used to indicate the degree of uncertainty associated with an estimate For example if the estimate of the number of households having a given dwelling characteristic is 10 000 households and the corresponding CV is 596 then the true value is between 9 500 and 10 500 households 68 of the time and between 9 000 and 11 000 households 95 of the time Standard errors for the 2001 Survey of Household Spending were estimated using the jackknife technique which leads to a slight over estimation and is thus conservative For more information refer to the Statistics Canada publication Methodology of the Canadian Labour Force Survey Catalogue no 71 526XPB Coefficients of variation are presented in technical tables 1 and 2 in Appendix E 4 2 1 2 Data Suppression For reliability reasons estimates with CVs greater than 33 should be suppressed Since CVs are not calculated for all estimates data suppression for the Survey of Household Spending has been based on a relationship between the CV and the number of households reporting expenditure on an item Analysis of past survey results indicates that CVs usually reach this level when the number of households reporting an item drops to about 30 Therefore data
35. or not present December 31 any person with relationship A 002 02 and marital status A 005 not 1 or 2 or member of household December 31 A 007 not 1 and person data collection code A 012 1 to 3 and unrelated secondary persons 0 7 Other household at least one person unrelated Any other household with at least one person with person data collection code A 012 1 to 3 Code Description 1 One person 2 Couple only 3 Couple with single children only 4 Couple with other relatives or unrelated persons 5 Lone parent with no additional persons 6 Other household with relative s 7 Other household with unrelated person s Note Children can be any age as long as they are single never married Foster children are included Relatives may include sons daughters and foster children of the reference person whose marital status is other than single never married relatives of the reference person by birth or marriage not spouse son daughter or foster child spouse of the reference person who was not present in the household on December 31 Variable Name HHSZD31 Unit Type Count Description Household size at December 31 SHS_A 007 Code Description Statistics Canada 28 62M0004XCB 1 5 Actual numbers 6 6 or more Note Count of persons member of household on December 31 Top coded at 6 in the public use file Variable Name CH04D31 Unit Type Count Description Number of children aged 0 t
36. the number of sampled respondents who contribute to the calculation of the estimate If this Statistics Canada 87 62M0004XCB number is less than 30 the weighted estimate should not be released regardless of the value of the CV for this estimate For weighted estimates based on sample sizes of 30 or more users should determine the CV of the rounded estimate following the guidelines below Figure 2 Sampling Variability Guidelines Type of CV in Guidelines Estimate 1 Acceptable 0 0 16 5 Estimates can be considered for general unrestricted release Requires no special notation 2 Marginal 16 6 33 3 Estimates can be considered for general unrestricted release but should be accompanied by a warning cautioning subsequent users of the high sampling variability associated with the estimates Such estimates should be identified by the letter M or in some other similar fashion 3 Unacceptable Greater than 33 3 Statistics Canada does not recommend the release of estimates of unacceptable quality However if the user chooses to do so then estimates should be flagged with the letter U or in some other similar fashion and the following warning should accompany the estimates The user is advised that specify the data do not meet Statistics Canada s quality standards for this statistical program Conclusions based on these data will be unreliable and most likely invalid
37. the variable Money flows assets loans and other debts for each questionnaire If the difference is greater than 10 of the larger of receipts or disbursements respondents are contacted again for additional information This ensures that expenditures at least at the aggregate level are commensurate with household income and other sources of funds Several features of the survey help respondents recall their expenditures as accurately as possible First the survey period is the calendar year because it is probably more clearly defined in people s minds than any other period of similar length Secondly expenditure on food about 1196 of the average budget in 2001 can be estimated as either weekly or monthly expenses depending on the respondent s purchasing habits Thirdly expenses on smaller items purchased at regular intervals are usually estimated on the basis of amount and frequency of purchase Purchases of large items automobiles for example are recalled fairly easily as are expenditures on rent property taxes and monthly payments on mortgages However even with these items the accuracy of data depends on the respondent s ability to remember and willingness to consult records 4 2 2 3 Non Response Error Non response error occurs in sample surveys because not all potential respondents cooperate fully The extent of non response varies from partial non response to total non response Total non response occurs when the interview
38. total sub totals in statistical tables must be calculated using their unrounded corresponding components then rounded in turn to the closest hundredth using the traditional rounding technique c Means ratios rates and percentages must be calculated using unrounded components i e numerators and or denominators and then rounded to a decimal using the traditional rounding technique d Totals and differences in aggregates or ratios must be calculated using their corresponding unrounded components then rounded to the nearest hundredth or decimal place using the traditional rounding technique e If due to technical or other limitations a technique other than traditional rounding is used with the result that the estimates to be published or released differ in any form from the corresponding estimates that would be obtained by Statistics Canada using this microdata file we strongly advise users to indicate the reasons for the differences in the documents to be published or released f Unrounded estimates cannot under any circumstances be published or released in any way whatsoever by users Unrounded estimates give the impression that they are much more precise than they actually are 4 3 3 Guidelines for the Weighting of the Sample for Totalling Purposes The sample design used for the SHS is not self weighted meaning that the households in the sample do not all have the same sampling weight To produce simple estimates includin
39. 004XCB 1 2 Technical characteristics of the file Content Household spending dwelling characteristics and household equipment 2001 Source Survey of Household Spending 2001 Income Statistics Division Statistics Canada Data Set Definition DATA SSET NAME eu ti e ets SHS2001 TXT NUMBER OF RECORDS 11 4 eee 16 901 FORMAT Fecord length i tie ttt et eem 2 093 RECORD LAYOUT none pO HR eal MIR Supplied See Record Layout next section Variables are grouped under the following headings Location Dwelling Characteristics of reference person Characteristics of spouse of reference person Household description Household equipment at December 31 Expenditure items Food Shelter Household operation Household furnishings and equipment Clothing Transportation Health care Personal care Recreation Reading materials and other printed matter Education Tobacco products and alcoholic beverages Other expenses Statistics Canada 6 62M0004XCB 2 RECORD LAYOUT Field Size Implied Position Type Description Variable Name Decimal LOCATION 1 5 0 1 5 C ldentification number CASEID 2 5 0 6 10 n Weight at household level WEIGHT 3 1 0 11 11 C Full year part year household indicator FYPYFL
40. 012 9 64 Statistics Canada 62M0004XCB Sum SHS R 016 100 PctOtherVehExpAgainstBus R 022 100 for each recreation vehicle Sum SHS R 015 100 PctOtherVehExpAgainstBus R 022 100 for each recreation vehicle Sum SHS R 017 100 PctOtherVehExpAgainstBus R 022 100 for each recreation vehicle Sum SHS R 018 100 PctOtherVehExpAgainstBus R 022 100 for each recreation vehicle Sum SHS R 019 100 PctOtherVehExpAgainstBus R 022 100 for each recreation vehicle Sum SHS R 020 100 PctOtherVehExpAgainstBus R 022 100 for each recreation vehicle Variable Name Unit Type Description SHS R 091 Variable Name Unit Type Description SHS L 011 SHS L 012 SHS L 014 SHS L 016 SHS L 015 SHS L 017 SHS L 013 SHS L 018 SHS L 031 SHS L 034 SHS L 032 Variable Name Unit Type Description SHS L 011 SHS L 012 Variable Name Unit Type Description SHS L 014 SHS L 016 Variable Name Unit Type Description SHS L 015 M180 Dollar Expenses for rented and leased recreational vehicles M148 Dollar Home entertainment equipment and services M150 Dollar Audio equipment for example radios CD players speakers M151 Dollar Pre recorded audio and video cassette tapes compact discs and DVDs M152 Dollar Blank audio and video tapes Statistics Canada 65 62M0004XCB SHS L 017 Variable Name Unit Type Descripti
41. 055 for each Person between 1 and 3 Sum SHS 0O 056 for each Person between 1 and 3 Sum SHS 0 057 for each Person between 1 and 3 SHS O 142 Sum SHS 0O 102 for each Person between 1 and 3 Sum SHS 0 104 for each Person between 1 and 3 If PersonNo between 01 and 15 and SHS A 012 If PersonNo between 01 and 15 and SHS A 012 If PersonNo between 01 and 15 and SHS A 012 If PersonNo between 01 and 15 and SHS A 012 If PersonNo between 01 and 15 and SHS A 012 If PersonNo between 01 and 15 and SHS A 012 If PersonNo between 01 and 15 and SHS A 012 If PersonNo between 01 and 15 and SHS A 012 If PersonNo between 01 and 15 and SHS A 012 If PersonNo between 01 and 15 and SHS A 012 If PersonNo between 01 and 15 and SHS A 012 If PersonNo between 01 and 15 and SHS A 012 If PersonNo between 01 and 15 and SHS_A 012 If PersonNo between 01 and 15 and SHS A 012 SHS O 143 SHS 0 102 If PersonNo 00 SHS 0 104 If PersonNo 00 SHS O 144 SHS O 145 SHS O 146 SHS M 019 SHS M 020 SHS O 147 J002 Dollar Variable Name Unit Type Description Sum SHS 0O 002 for each Person between 1 and 3 Sum SHS 0O 003 for each Person between 1 and 3 Women s and girls wear 4 years and over If PersonNo between 01 and 15 and SHS 012 If PersonNo between 01 and 15 and SHS A 012 Statistics Canada 52 62M0004XCB Sum SHS 0 004 for each Person If PersonNo
42. 08 100 PctRentAgainstBusiness_1 011 100 Sum SHS Q 036 100 PctVehExpAgainstBus Q 039 100 for each vehicle SHS Q 302 SHS Q 301 Sum SHS Q 035 100 PctVehExpAgainstBus_Q 039 100 for each vehicle Sum SHS Q 034 100 PctVehExpAgainstBus Q 039 100 for each vehicle Variable Name K020 Unit Type Dollar Description Gasoline and other fuels for owned and leased automobiles and trucks vans Sum SHS Q 030 100 PctVehExpAgainstBus Q 039 100 for each vehicle Variable Name Unit Type Description Sum SHS Q 033 Variable Name Unit Type Description SHS 1 008 100 Sum SHS Q 036 Variable Name Unit Type Description Sum SHS Q 035 K022 Dollar Maintenance and repair for owned and leased automobiles and trucks vans 100 PctVehExpAgainstBus Q 039 100 for each vehicle K023 Dollar Garage rent and parking PctRentAgainstBusiness 1 011 100 100 PctVehExpAgainstBus Q 039 100 for each vehicle K028 Dollar Private and public vehicle insurance premiums 100 PctVehExpAgainstBus Q 039 100 for each vehicle Statistics Canada 56 62M0004XCB Variable Name K031 Unit Type Dollar Description Public transportation SHS R 092 SHS R 093 SHS R 094 SHS R 095 SHS R 096 SHS R 097 SHS R 098 Variable Name K032TOT Unit Type Dollar Description Local and commuter transportation SHS R 092 SHS R 093 Note Includes city or commuter bus s
43. 10 SHS K 011 SHS K 012 SHS K 013 SHS K 014 SHS J 005 SHS J 006 Variable Name G026 Unit Type Dollar Description Owned vacation home SHS K 010 SHS K 011 SHS K 012 SHS K 013 SHS K 014 Variable Name G032 Unit Type Dollar Description Traveller accommodation SHS J 005 SHS J 006 Note Travellers accommodation excludes accommodation that was part of a travel tour which are included in Package travel tours 3 9 Expenditure Household Operation Variable Name H001 Unit Type Dollar Description Total household operation SHS M 003 SHS M 001 SHS M 005 SHS M 002 SHS M 004 SHS M 006 SHS M 007 SHS M 008 SHS M 009 SHS M 010 SHS M 015 SHS M 016 SHS M 017 SHS M 018 SHS M 021 SHS M 022 SHS M 023 Statistics Canada 46 62M0004XCB SHS M 012 SHS M 013 SHS M 014 SHS M 011 SHS M 024 SHS M 025 Variable Name H002 Unit Type Dollar Description Communications SHS M 003 SHS M 001 SHS M 005 SHS M 002 SHS M 004 SHS M 006 Variable Name H003 Unit Type Dollar Description Telephone SHS_M 003 SHS_M 001 SHS_M 005 Variable Name H004 Unit Type Dollar Description Purchase of telephones and equipment SHS_M 003 Variable Name H005 Unit Type Dollar Description Telephone services SHS_M 001 SHS_M 005 Variable Name H008 Unit Type Dollar Description Cellular services SHS_M 002 Variable Name H009 Unit Type Dollar Description Interne
44. 2 SHS L 083 SHS L 003 SHS L 072 SHS L 071 SHS L 086 SHS L 087 SHS L 088 SHS L 089 SHS L 008 SHS L 051 SHS L 090 SHS J 004 SHS L 091 Variable Name 1002 Unit Type Dollar Description Household furnishings SHS_L 001 SHS_L 004 SHS_L 005 SHS_L 006 SHS_L 007 SHS_L 002 Statistics Canada 49 62M0004XCB Variable Name 1003 Unit Type Dollar Description Furniture for indoor or outdoor use SHS L 001 Variable Name 1004 Unit Type Dollar Description Rugs mats and underpadding SHS L 004 Variable Name 1005 Unit Type Dollar Description Window coverings and household textiles SHS_L 005 Variable Name 1006 Unit Type Dollar Description Art antiques and decorative ware SHS_L 006 SHS_L 007 SHS_L 002 Variable Name 1010 Unit Type Dollar Description Household equipment SHS L 049 SHS L 041 SHS L 042 SHS L 043 SHS L 048 SHS L 061 SHS L 044 SHS L 045 SHS L 047 SHS L 046 SHS L 063 SHS L 050 SHS L 084 SHS L 085 SHS L 081 SHS L 082 SHS L 083 SHS L 003 SHS L 072 SHS L 071 SHS L 086 SHS L 087 SHS L 088 SHS L 089 Statistics Canada 50 62M0004XCB Variable Name 1011 Unit Type Dollar Description Household appliances SHS_L 049 SHS_L 041 SHS_L 042 SHS_L 043 SHS_L 048 SHS_L 061 SHS_L 044 SHS_L 045 SHS_L 047 SHS_L 046 SHS_L 063 SHS_L 050 Note Net purchase price after deducting trade in allowance and any discount Excludes appliances included
45. 62M0004XCB User Guide Public use Microdata File Survey of Household Spending 2001 Income Statistics Division Statistics Canada Ce document est disponible en fran ais November 2003 Income Statistics Division Statistics Canada must be credited when reproducing or quoting any part of this document Table of Contents Page 1 INTRODUGTION nire han eee whan Pape cl ane anil antes 4 1 1 General 1 ener nnn nemen 4 11 1 Backgrourndae eiie ion Er VEU E eiie 4 1 1 2 New for 20012 RR ER eee eie erii areae dee erede Pea a ra ree e 4 1 1 3 Layout of the document mener 4 1 1 4 For further information 5 1 2 Technical characteristics of the file 6 RECORD LAY OUT oT 7 3 DATA DICTIONARY fec 13 9 1 Locations i coin ee ee nice tbt x ae ie at 13 32 BUE 14 3 3 Characteristics of Reference 21 3 4 Characteristics of Spouse of Reference 24 3 5 Household Description sse 27 3 6 Household Equipment at December 31 35 3 7 Expenditure Food eaa a 41 3 8 Expenditure 42 3 9 Expenditure Household Operation 46 3 10 Expenditure Household Furnishings a
46. 8 1098 n Other passenger transportation K037 166 11 2 1099 1109 n Household moving storage and delivery services K038 HEALTH CARE 167 11 2 1110 1120 n Health care L101 168 11 2 1121 1131 n Direct costs to household L102 169 11 2 1132 1142 n Health care supplies L103 170 11 2 1143 1153 n Medicinal and pharmaceutical products L104 171 11 2 1154 1164 n Prescribed L105 172 11 2 1165 1175 n Other medicines and pharmaceutical products L106 173 11 2 1176 1186 n Physicians care L107 174 11 2 1187 1197 n Eye care goods and services L108 175 11 2 1198 1208 n Dental services L112 176 11 2 1209 1219 n Blank Field Blank 177 11 2 1220 1230 n Hospital care L114 178 11 2 1231 1241 n Blank Field Blank 179 11 2 1242 1252 n Other health care practitioners L116 180 11 2 1253 1263 n Other medical services L117 181 11 2 1264 1274 n Health insurance premiums L118 182 11 2 1275 1285 n Public hospital medical and drug plans L119 183 11 2 1286 1296 n Private health insurance plans L120 PERSONAL CARE 184 11 2 1297 1307 n Personal care L201 185 11 2 1308 1318 n Personal care supplies and equipment L202 186 11 2 1319 1329 n Personal care services L207 RECREATION Statistics Canada 10 62M0004XCB
47. 9 100 for each vehicle Sum SHS Q 033 100 PctVehExpAgainstBus Q 039 100 for each vehicle SHS 008 100 PctRentAgainstBusiness_1 011 100 Sum SHS Q 036 100 PctVehExpAgainstBus Q 039 100 for each vehicle SHS Q 302 SHS Q 301 Statistics Canada 54 62M0004XCB Sum SHS Q 035 100 PctVehExpAgainstBus Q 039 100 for each vehicle Sum SHS Q 034 100 PctVehExpAgainstBus Q 039 100 for each vehicle Sum SHS Q 037 100 PctVehExpAgainstBus Q 039 100 for each vehicle SHS R 092 SHS R 093 SHS R 094 SHS R 095 SHS R 096 SHS R 097 SHS R 098 Variable Name K002 Unit Type Dollar Description Private transportation Sum SHS Q 015 for each vehicle If SHS 0 012 1 Sum SHS Q 015 for each vehicle If SHS 0 012 2 or 3 Sum SHS Q 025 1 for each vehicle Sum SHS Q 031 100 PetVehExpAgainstBus Q 039 100 for each vehicle SHS Q 201 SHS Q 202 SHS Q 203 SHS Q 204 SHS Q 205 SHS Q 206 Sum SHS Q 017 for each Vehicle Sum SHS Q 018 for each Vehicle Sum SHS Q 030 100 PctVehExpAgainstBus Q 039 100 for each vehicle Sum SHS Q 032 100 PctVehExpAgainstBus Q 039 100 for each vehicle Sum SHS Q 033 100 PctVehExpAgainstBus Q 039 100 for each vehicle SHS 1 008 100 PctRentAgainstBusiness_1 011 100 Sum SHS Q 036 100 PctVehExpAgainstBus_Q 039 100 for each vehicle SHS Q 302 SHS Q 301 Sum SHS Q 035 100 PctVehExpAgainstBus Q 039 100 for each vehicle Sum SHS Q 034 100
48. 96 Alberta 2 260 73 363 79 1 745 77 2 British Columbia 2 677 102 494 83 1 998 74 696 Yukon 345 13 70 11 251 72 896 Northwest Territories 412 25 23 6 358 86 996 Nunavut 247 19 18 1 209 84 6 Canada 22 172 1 142 3 377 752 16 901 76 2 1 Part year households are included in the calculation of response rates There were 516 part year households in 2001 2 Rejected at the editing stage 3 Usable eligible 100 4 2 2 4 Processing Error Processing errors may occur in any of the data processing stages for example during data entry editing weighting and tabulation See Data Processing and Quality Control Section 4 1 5 for a description of the steps taken to reduce processing error 4 2 3 The Effect of Large Values For any sample estimates can be affected by the presence or absence of extreme values from the population These extreme values are most likely to arise from positively skewed populations The nature of the subject matter of the SHS lends itself to such extreme values Estimates of totals averages and standard errors may be greatly influenced by the presence or absence of these extremes 4 2 4 Comparability Over Time Conducted since 1997 the Survey of Household Spending integrates most of the content found in the Family Expenditure Survey and the Household Facilities and Equipment Survey Many data from these two surveys are comparable to the Survey of Household Spending data However some differences related to th
49. 99 109 n Income from investment RPINCINV 30 11 2 110 120 n from government transfer payments RPINCTRA 31 11 2 121 131 n Income from other sources RPINCOTH 32 1 0 132 132 c Marital status RPMARP 33 2 0 133 134 n Age RPAGEP 34 2 0 135 136 c group RPAGEGRP 35 1 0 137 137 c Sex RPSEX 36 2 0 138 139 n Number of weeks worked full time RPWEEKFT 37 2 0 140 141 n Number of weeks worked part time RPWEEKPT 38 1 0 142 142 c Tenure of previous dwelling RPPREVDW CHARACTERISTICS OF SPOUSE OF REFERENCE PERSON 39 11 2 143 153 n Income before taxes SPINCTOT 40 11 2 154 164 n Income from earnings SPINCEAR 41 11 2 165 175 n Income from investment SPINCINV 42 11 2 176 186 n from government transfer payments SPINCTRA 43 11 2 187 197 n Income from other sources SPINCOTH 44 2 0 198 199 n SPAGEP 45 2 0 200 201 Age group SPAGEGRP 46 1 0 202 202 c Sex SPSEX Statistics Canada T 62M0004XCB Field Size Implied Position Type Description Variable Name Decimal 4T 2 0 203 204 n Number of weeks worked full time SPWEEKFT 48 2 0 205 206 n Number weeks worked part time SPWEEKPT 49 1 0 207 207 c Tenure of previous dwelling SPPREVDW HOUSEHOLD DESCRIPTION 50 1 0 208 208 n Number of economic famil
50. AG 4 2 0 12 13 c Province PROVINCP 5 1 0 14 14 c Urban rural code URBRUR 6 1 0 15 15 C Size of area of residence code URBSIZEP DWELLING 7 1 0 16 16 Type of dwelling occupied at December 31 TYPDWELP 8 1 0 17 17 c Period of construction of dwelling YEARBUIP 9 2 0 18 19 n Number of rooms NUMRMP 10 1 0 20 20 n Number of bedrooms NUMBEDRP 11 1 0 21 21 n Number of bathrooms NUMBTHRP 12 1 0 22 22 c Dwelling tenure during reference year TENURYRP 13 1 0 23 23 c Dwelling tenure at December 31 TENDC31P 14 11 2 24 34 n Purchase price of home bought in reference year PURPRICE 15 11 2 35 45 n Selling price of home sold in reference year SELPRICE 16 1 0 46 46 c Dwelling repairs needed REPAIRS 17 11 2 47 57 n Additions renovations and alterations ADRENALT 18 11 2 58 68 n New installations of equipment and fixtures NEWINST 19 1 0 69 69 Year household moved to the dwelling occupied at December 31 YRMOVEDP 20 1 0 70 70 c Household purchased home in reference year BUYHMFLG 21 1 0 71 71 c Principal heating equipment HEATMAIP 22 1 0 T2 72 of principal heating equipment HEATAGE 23 1 0 73 73 c Principal heating fuel HEATFUEP 24 1 0 74 74 c Principal heating fuel for hot water HOTWATEP 25 1 0 15 15 c Principal cooking fuel COOKINGP 26 1 0 76 76 c Reduced rent reason REDURENT CHARACTERISTICS OF REFERENCE PERSON 27 11 2 TT 87 n Income before taxes RPINCTOT 28 11 2 88 98 n Income from earnings RPINCEAR 29 11 2
51. Description Age group of reference person SHS_A 003 Code Description 01 Less than 25 years 02 25 29 years 03 30 34 04 35 39 05 40 44 06 45 49 07 50 54 08 55 59 09 60 64 10 65 69 11 70 74 12 75 79 13 80 84 14 85 years and over Variable Name RPSEX Unit Type Code Description Sex of reference person Sex SHS A 004 of person having relationship SHS 002 1 Code Description 1 Male 2 Female Variable Name RPWEEKFT Unit Type Count Description Number of weeks worked full time by reference person SHS U 002 Code Description 00 to 52 Actual numbers Statistics Canada 23 62M0004XCB Variable Name RPWEEKPT Unit Type Count Description Number of weeks worked part time by reference person SHS U 003 Code Description 00 to 52 Actual numbers Variable Name RPPREVDW Unit Type Code Description Tenure of previous dwelling of reference person SHS D 003 SHS D 004 Code Description Before 1996 2 Owned 3 Rented 4 Did not maintain own dwelling Note Households that moved to their dwelling before 1996 were not asked this question 3 4 Characteristics of Spouse of Reference Person Variable Name SPINCTOT Unit Type Dollar Description Income of spouse before taxes Sum SHS U 004 for Spouse of Reference Person If SHS_A 012 between 1 and 3 Sum SHS U 005 for Spouse of Reference Person If SHS_A 012 between 1 and 3 ce for Spouse of Reference Person
52. G 016 SHS_F 009 SHS_F 004 SHS_J 001 SHS_J 003 SHS_J 002 Note See note under G001 Variable Name G003 Unit Type Dollar Description Rented living quarters SHS_1 002 SHS_1 003 100 PctRentAgainstBusiness_1 011 100 SHS_1 004 100 PctRentAgainstBusiness_1 011 100 SHS_1 006 100 PctRentAgainstBusiness_1 011 100 SHS_1 007 100 PctRentAgainstBusiness_1 011 100 Variable Name G004 Unit Type Dollar Description Rent SHS_1 002 SHS_1 003 100 PctRentAgainstBusiness l 011 100 SHS_1 004 100 PctRentAgainstBusiness l 011 100 Statistics Canada 43 62M0004XCB Note The net household expense for rent after adjusting for rebates and for any use of the dwelling for business No adjustment for partial subletting to non household members is made Receipts from this activity are considered part of household income Variable Name G007 Unit Type Dollar Description Owned living quarters SHS G 002 SHS_G 003 SHS_G 004 SHS_G 005 SHS_G 006 SHS G 007 SHS E 003 100 PctExpAgainstBusiness E 009 100 if SHS G 014 1 SHS G 016 if SHS G 015 1 SHS H 008 SHS 011 SHS 014 SHS 017 SHS H 019 SHS H 021 SHS E 006 100 PctExpAgainstBusiness E 009 100 SHS E 003 100 PctExpAgainstBusiness E 009 100 SHS E 005 100 PctExpAgainstBusiness E 009 100 SHS F 007 SHS F 008 SHS G 016 SHS F 009 SHS F 004 Note See note un
53. HS_A 003 lt 1987 and SHS_A 003 lt 1987 2 2 2 2 2 SAS 2 OA OAS OAS 2 NS Statistics Canada 32 62M0004XCB Note Includes income for household from earnings investment government transfer payments and other sources Variable Name HHINCEAR Unit Type Dollar Description Household income from earnings Sum SHS U 004 for each Person If SHS A 012 between 1 and 3 Sum SHS U 005 for each Person If SHS A 012 between 1 and 3 Sum SHS U 006 for each Person If SHS_A 012 between 1 and 3 Sum SHS U 007 for each Person If SHS A 012 between 1 and 3 and SHS_A 003 lt 1987 and SHS A 003 lt 1987 and SHS_A 003 lt 1987 and SHS A 003 lt 1987 wa Note Includes income for household from wages and salaries net income from self employment and gross income from roomers and boarders Variable Name HHINCINV Unit Type Dollar Description Household income from investment Sum SHS U 008 for each Person If SHS_A 012 between 1 and 3 and SHS 003 lt 1987 Note Includes income for household from dividends interest and other investment income such as net rental income or interest received from loans or mortgages Variable Name HHINCTRA Unit Type Dollar Description Household income from government transfer payments Sum SHS U 009 for each Person If SHS_A 012 between 1 and 3 and SHS 003 lt 1987 Sum SHS U 010 for each Person If SHS_A 012 between 1 and 3 and SHS
54. Minimum and Maximum Values Public use Microdata File SHS 2001 FulEyear Households im er tH ERR IERI LEER ARAM 98 Part 3 of 3 Averages and Aggregates Unsuppressed Survey File SHS 2001 Full year and Part year Households sse enne 98 APPENDIX C Inclusion of Spending Variables in Past Microdata 98 APPENDIX D Comparison of Variables from the 2000 and the 2001 SHS 98 APPENDIX E Technical Table 1 Coefficients of Variation for Average Household Expenditures 2001 98 Technical Table 2 Coefficients of Variation for Dwelling Characteristics and Household Equipment 2001 dire lee ree e Deae a Va av ui ee ed ees 98 1 INTRODUCTION 1 1 General Information 1 1 1 Background This public use microdata file presents data from the 2001 Survey of Household Spending SHS conducted in January through March 2002 Information about the spending habits dwelling characteristics and household equipment of Canadian households during 2001 was obtained by asking people in the ten provinces and the three territories to recall their expenditures for the previous calendar year spending habits or as of December 31 dwelling characteristics and household equipment Conducted since 1997 the Survey of Household Spending integrates most of the content found in the Family Expendit
55. Position Type Description Variable Name Decimal 228 11 2 1781 1791 n Tuition fees M308 TOBACCO PRODUCTS AND ALCOHOLIC BEVERAGES 229 11 2 1792 1802 n Tobacco products and alcoholic beverages N101 230 11 2 1803 1813 n Tobacco products and smokers supplies N102 231 11 2 1814 1824 n Cigarettes cigars and tobacco N103 232 11 2 1825 1835 n Alcoholic beverages N105 233 11 2 1836 1846 n Served on licensed premises N106 234 11 2 1847 1857 n Purchased from stores N107 235 11 2 1858 1868 n Self made alcoholic beverages N108 OTHER EXPENSES 236 11 2 1869 1879 n Miscellaneous expenditures O101 237 11 2 1880 1890 n Financial services O104 238 11 2 1891 1901 n Dues to unions and professional associations 0109 239 11 2 1902 1912 n Games of chance net N201 240 11 2 1913 1923 n Personal taxes 0201 241 11 2 1924 1934 n Personal insurance payments and pension contributions 0301 242 11 2 1935 1945 n Life insurance premiums annuity contracts and transfers to RRIFs O302TOT 243 11 2 1946 1956 n Employment insurance premiums 0304 244 11 2 1957 1967 n Retirement and pension fund payments O305 245 11 2 1968 1978 n Canada and Quebec pension plan O306 246 11 2 1979 1989 n Other government pension funds O307 247 11 2 1990 2000 n Other retirement or pension funds excluding RRSP 0308 248 11 2 2001 2011 n Gifts of money and contributions 0401 249 11 2 2012 2022 n Gifts of money and other support payments to persons livi
56. S_C 020 Yes Code Description 0 No 1 Yes 9 No computer Note This variable indicates whether or not the household accesses the Internet via a computer in the home It includes cases where a home computer is used to link to a business located outside the dwelling for access to the Internet Excluded are cases where the Internet is accessed directly through a computer located outside the dwelling e g work Variable Name NETCONEC Unit Type Code Description Internet connection 1 If SHS C 021 1 2 If SHS_C 021 2 If SHS_C 021 3 If SHS_C 021 4 If SHS_C 021 5 3 4 5 Code Description 0 No Internet connection 1 Regular telephone connection to a computer 2 High speed telephone connection to a computer 3 Cable connection to a computer 4 Telephone line connected to a television 5 Other type of connection Note New for 2001 Variable Name NMCOLTVP Unit Type Count Description Number of colour televisions 0 If SHS C002 0 1 If SHS C002 1 2 If SHS C002 2 3 If SHS_C002 3 4 If SHS_C002 4 5 If SHS C002 5 OR gt 5 Statistics Canada 40 62M0004XCB Code Description 0 None 1 1 2 2 3 3 4 4 5 5 or more Variable Name NMVEHONP Unit Type Count Description Number of vehicles owned at December 31 0 If Count vehicles where SHS 0 023 1 0 1 If Count vehicles where SHS_Q 023 1 1 2 If Count vehicles where SHS_Q 023 3 If Count vehicles wher
57. Vs used for estimating totals are initially presented using fictional cases Then actual cases of estimating totals averages or proportions ratios and differences based on microdata file data will be presented so users can check results Statistics Canada 90 62M0004XCB and ensure that the method used was valid Part 1 Fictional case details of calculating an approximated CV for estimating a total A Quantitative variable Let us assume we wanted to estimate the total for a quantitative expenditure variable X for households containing at least one person less than 17 years of age To illustrate this procedure we will use a fictional sample see Figure 3 on which we will present calculation details see Figure 4 for each of the eleven steps described above As this procedure is applied independently within each province we shall merely describe calculations for one province Let us use the following sample for Ontario Figure 3 Fictional example Initial Data Number of children Variable of Identifier Province Entire year Weight Household size aged 0 17 Interest X ono ves os 3 2 9 ono e 3 5 3 o xs owe ves 5 1 2 1 3 9 oie ne sa 2 xs owe ves sip 2 exe owo ves f 1 0 0 ww owe 1 5 In step 1 we define the domain of interest by creating a binary variable equal to 1 for all units belonging to the domain In the present
58. WS 73 11 2 306 316 n Registered Retirement Savings Plan RRSP change RRSPCHNG 74 1 0 317 317 c Employment insurance benefit El indicator EIFLAG HOUSEHOLD EQUIPMENT AT DECEMBER 31 75 1 0 318 318 c Washing machine WASHER 76 1 0 319 319 C Clothes dryer DRYERP TT 1 0 320 320 c Dishwasher DSHWASH 78 1 0 321 321 n Number of refrigerators NMFRIDGP 79 1 0 322 322 Freezer FREEZER 80 1 0 323 323 c Microwave oven MICROWV 81 1 0 324 324 c Air conditioner AIRCONP 82 1 0 325 325 n Number of telephones NMPHONP 83 1 0 326 326 n Number of telephone numbers NMPHNUMP 84 1 0 327 327 c Cellular telephone CELLPHON 85 1 0 328 328 c Compact disc player CDPLYER 86 1 0 329 329 c Cablevision CABLETV 87 1 0 330 330 c Satellite dish SATELLIT 88 1 0 334 331 c DVD player DVD 89 1 0 332 332 c CD writer CDWRITER 90 1 0 333 333 n Number of video cassette recorders NMVCRP 91 1 0 334 334 c Home computer COMPUTER 92 1 0 335 335 c internet INTERNET Statistics Canada 8 62M0004XCB Field Size Implied Position Type Description Variable Name Decimal 93 1 0 336 336 c Internet connection NETCONEC 94 1 0 337 337 n Number of colour televisions NMCOLTVP 95 1 0 338 338
59. ations e Appendix B presents expenditure data tabulated using the public use microdata file and also using the internal survey database They are included to help you verify your tabulations e Appendix C contains a table indicating the spending variables included in previous public use microdata files of the Survey of Household Spending and the Family Expenditure Survey Statistics Canada 4 62M0004XCB e Appendix D shows any changes in variables from the previous year e Appendix E presents the coefficients of variation for published data from the 2001 SHS 1 1 4 For further information Additional information about the SHS can now be obtained free on the Statistics Canada web site www statcan ca See especially e Note to former users of data from the Family Expenditure Survey 62F0026MIE2000002 e Note to former users of data from the Household Facilities and Equipment Survey 62F0026MIE2000003 e User Guide for the Survey of Household Spending 2001 62F0026MIE2002002 e Methodology for the Survey of Household Spending 62F0026MIE2001003 e 2001 Survey of Household Spending Data Quality Indicators For more information about the current survey results and related products and services or to enquire about the concepts methods or data quality of the Survey of Household Spending contact Client Services 613 951 7355 1 888 297 7355 fax 613 951 3012 income statcan ca Income Statistics Division Statistics Canada 5 62M0
60. be used as bedrooms at night Variable Name NUMBTHRP Unit Type Count Description Number of bathrooms 0 2 If SHS_B 007 between 0 and 2 3 IF SHS B 007 gt 2 Code Description 0 2 Actual numbers 3 3 or more bathrooms Note This variable indicates the number of rooms in the dwelling with an installed bathtub and or shower Variable Name TENURYRP Unit Type Code Description Dwelling tenure during reference year Dwelling tenure Code 1 Owned without mortgage when SHS E 002 between 1 and 11 SHS D 001 1 SHS 001 0 or when SHS E 002 12 SHS D 001 1 Dwelling tenure Code 2 Owned with mortgage when SHS E 002 between 1 11 SHS D 001 2 SHS 001 0 or when SHS E 002 12 SHS_D 001 2 Dwelling tenure Code 3 Rented or occupied rent free when SHS E 002 0 SHS 0 001 3 SHS 1 001 between 1 and 11 or when SHS E 002 0 SHS D 001 3 SHS 001 12 or when SHS E 002 between 1 and 11 SHS D 001 3 SHS 001 12 or when SHS 002 12 SHS 0 001 3 SHS 1 001 12 or when SHS E 002 0 SHS 0 001 4 SHS 1 001 between 1 and 11 or when SHS E 002 0 SHS 0 001 4 SHS 001 12 or when SHS E 002 between 1 and 11 SHS D 001 4 SHS 001 12 or when SHS 002 12 SHS D 001 4 SHS 001 12 Dwelling tenure Code 4 Mixed tenure when SHS E 002 between 1 and 11 SHS 0 001 1 SHS 1 001 between 1 and 11 or when SHS E 002 between 1 and 11 SHS D 001 2
61. between 01 and 15 and SHS A 012 between 1 and 3 Sum SHS 0 005 for each Person If PersonNo between 01 and 15 and SHS 012 between 1 and 3 Sum SHS 0O 006 for each Person If PersonNo between 01 and 15 and SHS 012 between 1 and 3 Sum SHS 0 007 for each Person If PersonNo between 01 and 15 and SHS A 012 between 1 and 3 SHS O 141 Variable Name J007 Unit Type Dollar Description Clothing gifts to non household members women and girls aged 4 years and over SHS O 141 Variable Name J008 Unit Type Dollar Description Men s and boys wear 4 years and over Sum SHS 0O 052 for each Person If PersonNo between 01 and 15 and SHS A 012 between 1 and 3 Sum SHS O 053 for each Person If PersonNo between 01 and 15 and SHS 012 between 1 and 3 Sum SHS 0 054 for each Person If PersonNo between 01 and 15 and SHS A 012 between 1 and 3 Sum SHS 0 055 for each Person If PersonNo between 01 and 15 and SHS A 012 between 1 and 3 Sum SHS 0 056 for each Person If PersonNo between 01 and 15 and SHS 012 between 1 and 3 Sum SHS 0 057 for each Person If PersonNo between 01 and 15 and SHS A 012 between 1 and 3 SHS O 142 Variable Name J013 Unit Type Dollar Description Clothing gifts to non household members men and boys aged 4 years and over SHS O 142 Variable Name J014 Unit Type Dollar Description Children s wear under 4 years Sum SHS O 102 for eac
62. by 52 to obtain year equivalent household size Top coded at 312 in the public use file Variable Name NUMFTP Unit Type Code Description Number of full time earners Count of persons having employment status 1 and person data collection code SHS_A 012 1 to 3 Weeks worked full time weeks SHS U 002 part time weeks SHS U 003 gt 49 and full time weeks SHS U 002 gt 25 Maximum value of weeks worked is limited to 52 Code Description 0 None 1 1 2 2 or more Variable Name NUMPTP Unit Type Code Description Number of part time earners Count of persons having employment status 2 and person data collection code SHS_A 012 1 to 3 Weeks worked full time weeks SHS U 002 part time weeks SHS U 003 1 to 48 or weeks worked full time weeks SHS U 002 part time weeks SHS U 003 gt 49 and full time weeks SHS U 002 lt 25 Maximum value of weeks worked is limited to 52 Code Description 0 None 1 1 2 2 3 3 or more Variable Name MAINCSCP Unit Type Code Description Household major source of income 0 All sources 0 Total wages and salaries U 004 0 and total self employment income U 005 U 006 U 007 0 and total investment income U 008 0 and total government transfer payments U 009 U 010 U 011 U 012 U 013 U 014 U 015 0 and other income U 016 U 018 0 1 Major source is wages and salaries Total wages and salaries U 004 not 0 and gt total self employmen
63. case these are households with at least one child between the ages of 0 and 17 years We then proceed to steps 2 through 9 to estimate variance which will lead to calculation of the CV We thus obtain the following results Figure 4 Calculation details for approximating the CV of a total steps 1 to 9 Binary Quantitative i variable Y Weigted Y Variable K Step6 size Y ES pu 1 Weight Step 8 Lem ween wensm REFIERE a Dru ERE ORT ER 1 0 5 30 150fs 53 15 53 9 9 9 21 47572t20 fo 1 0 foro o Bo s 0 fers 1s 0 15 15 19 20 C19 ct5 85 00 cos 1 0 1 20 pstzo soops 2 5 p2 6 _ ao 6 14 jorrar 117600 00004 1 soa 50 5 50 250 5 4220 12 12 5 _ 28880 0005 20 0 w o o 15 3 45 3 9 0 9 9 karreren 17010 boxe o foro o fioro o o feiss o s 3 to t0 ay ay_ 810 boo o fisro o fisto o 4 eo a4 12 Qo t2 12 14 15 t12 C12 730240 tT remo Twa 20890 Statistics Canada 91 62M0004XCB If we wanted to know the CV for Ontario we would perform the following calculation D 59 7 Estimation oyr Step 4onr If we wanted to know the CV for Canada we would proceed in similar manner by totalling the results for each province In other words JVariance CV cay 2100 A Estimation Variancey Variance Varianc
64. collective and that is why this option is included in Type of Dwelling Variable Name YEARBUIP Unit Type Code Description Period of construction of dwelling 1 If SHS_B 003 10 2 If SHS_B 003 11 3 If SHS_B 003 12 4 If SHS_B 003 13 5 If SHS_B 003 14 6 If SHS_B 003 15 7 If SHS_B 003 16 or 17 Code Description 1920 or before 1921 1945 1946 1960 1961 1970 1971 1980 1981 1990 1991 to reference year NOORWN Note This variable gives the year or period in which the original building was constructed Variable Name NUMRMP Unit Type Count Description Number of rooms 01 10 If SHS_B 005 between 1 and 10 11 IfSHS B 005 gt 10 Code Description 01 10 Actual numbers 11 11 or more rooms Note This variable includes the kitchen bedrooms and finished rooms in the attic or basement It excludes bathrooms halls vestibules and rooms used solely for business purposes Variable Name NUMBEDRP Unit Type Count Description Number of bedrooms Statistics Canada 15 62M0004XCB 0 4 If SHS_B 006 between 0 and 4 5 IF SHS B 006 gt 4 Code Description 0 4 Actual numbers 5 5 or more bedrooms Note This variable includes all rooms designated as bedrooms even though the use may be occasional as in the case of spare bedrooms Bedrooms that were built in the basement of a dwelling are also included Exclude rooms designated as dining rooms living rooms etc which may
65. combined with totals for one person households two person households and more than two person households There are also totals for the number of single parent families and couples with never married children Because of their smaller population only two age sex groups were used for the three territories Yukon Northwest Territories and Nunavut number of persons under 18 and number of persons 18 and over combined with the totals for one person households two person households and more than two person households for Yukon and Northwest Territories and total number of households for Nunavut For the 14 selected metropolitan areas only two age groups are used number of persons under 18 and number of persons 18 and over The second set of totals is derived from T4 information from Canada Customs and Revenue Agency CCRA formerly Revenue Canada and is intended to ensure that the weighted distribution of income based on wages and salaries in the data set matches that of the Canadian population The switch from 1991 to 1996 Census based population totals and the use of T4 information from CCRA were introduced starting with the 1999 SHS Revised SHS estimates for earlier survey years are available and should be used for year over year comparisons 4 2 Data Quality For more detailed information see the 2001 Survey of Household Spending Data Quality Indicators free on the Statistics Canada web site at www statcan ca 4 2 1 Sampling E
66. d above b estimate the number of owned households by adding the final weights for all records with a positive response to the question As at December 31 2001 was your house Owned mortgage free by your household or Owned with one or more mortgages by your household and then C divide the estimate obtained in a by the one calculated in b Note Because average expenditures are being estimated part year households must first be excluded from calculations for further details see Section 4 3 1 Important Note to Users about Full and Part year Households 4 3 5 Guidelines for Statistical Analysis The Survey of Household Spending is based on a complex survey design that includes stratification and multiple stages of selection as well as uneven respondent selection probabilities The use of data from such complex surveys poses problems for analysts because the survey design and the selection probabilities influence the estimation and variance calculation methods to be used Although numerous analytical methods in statistical software packages allow for the use of weights the meaning or definition of weights differs from that suitable for a sample survey As aresult although the estimates done using those packages are in many cases accurate the variances calculated have almost no significance For numerous analytical techniques for example linear regression logistic regression variance analysis there is a way to make the a
67. de Canada Variable Name TOTHMONR Unit Type Dollar Description Total other money receipts includes net winnings from games of chance Sum SHS U 019 for each Person If SHS_A 012 between 1 and 3 and SHS_A 003 lt 1987 SHS T 008 SHS T 010 SHS T 012 SHS T 014 SHS T 007 SHS T 009 SHS_T 011 SHS T 013 1 If SHS_T 008 SHS T 010 SHS T 012 SHS T 014 gt SHS_T 007 SHS T 009 SHS T 011 SHS T 013 otherwise set to 0 Note Includes other money received by households such as gifts received from persons outside household cash inheritances life insurance settlements or net winnings from games of chance if greater than losses Variable Name MONFLOWS Unit Type Dollar Description Money flows assets loans and other debts SHS W 001 SHS_W 002 SHS W 003 SHS W 004 SHS W 005 SHS W 006 SHS W 007 SHS_W 008 SHS W 009 SHS W 010 SHS W 011 SHS W 012 SHS W 013 SHS 1 018 SHS L 052 1 SHS_G 008 SHS 009 SHS_G 010 SHS_G 011 SHS_G 012 SHS_G 013 SHS_G 018 SHS_G 019 SHS_G 020 SHS_G 021 1 SHS_F 003 SHS_F 006 1 SHS_H 002 SHS_H 004 SHS_H 006 SHS_H 009 SHS_H 012 SHS_H 015 SHS_K 005 SHS_K 003 SHS_K 004 1 SHS_K 008 1 SHS_K 009 SHS_K 019 SHS_K 017 SHS_K 018 1 SHS_K 024 1 SHS_K 020 SHS_X 002 SHS_X 003 SHS_X 005 1 SHS_X 006 1 SHS_X 004 1 SHS_X 007 SHS_X 008 SHS_X 010 SHS_X 009 Sum
68. der G001 Variable Name 6040 Unit Type Dollar Description Regular mortgage payments for owned living quarters SHS_G 002 SHS_G 003 SHS_G 004 SHS_G 005 SHS_G 006 SHS_G 007 SHS E 003 100 PctExpAgainstBusiness E 009 100 if SHS_G 014 1 SHS G 016 if SHS G 015 1 Note See note under G001 Variable Name 6008 Unit Type Dollar Description Maintenance repairs and replacements for owned living quarters SHS_H 008 SHS_H 011 SHS_H 014 SHS_H 017 SHS_H 019 SHS_H 021 Note Expenditures on the total of contracts labour and materials for all types of maintenance repairs and replacements Includes all expenditures on the dwelling such as those for built in appliances and other equipment and fixtures Prior to the 1996 Family Expenditure Survey expenditures on contract and labour cost and materials purchased separately were available separately Costs of additions renovations and new installations are considered increases in assets and are included in Money flows assets loans and other debts An annual data series showing household expenditures on repairs and renovations is available from the Homeowner Repair and Renovation Survey See Homeowner Repair and Renovation Expenditures in Canada Catalogue no 62 201 Variable Name G009 Statistics Canada 44 62M0004XCB Unit Type Description Dollar Condominium charges for owned living quarters SHS E 006
69. ds The CV of an estimated mean or proportion tends generally to be slightly lower than the corresponding CV of the numerator The CV of an estimated mean or proportion can thus be approximated with the CV of the numerator and the technique described in rule 1 can be used Rule 3 Approximating CV for estimates of ratios Ratio refers to the relationship between two estimates of totals Calculations of approximate CVs for averages proportions or any other types of ratio may be approximated using the following formula ACV ACV where ACVg is the approximate CV of the ratio ACVy is the approximate CV of the numerator of the ratio and ACVp is the approximate CV of the denominator of the ratio The formula will tend to overestimate the CV if the two estimates forming the ratio are positively correlated and underestimate the CV if these two estimates are negatively correlated Rule 4 Approximating CVs for estimates of differences The approximate CV of a difference between any two estimates ESTpirr EST EST is given by EST ACV EST ACV y ACV pee EST DIFF where ACV is the approximate CV associated with EST and ACV is the approximate CV associated with EST The formula will tend to overestimate the CV if the two estimates forming the difference are positively correlated and underestimate the CV if these two estimates are negatively correlated Examples Detailed calculations of approximate C
70. e Variancejso oo 100 Estimation Estimation Estimationy Estimationproy oo Comment In this example we wanted to estimate the total for expenditure variable X If for example we had wanted to use this total to calculate average expenditure X per household the approach would have been slightly different As unit 00004 was a part year household it would not have been considered part of the domain of interest Binary variable would thus have taken the value of 0 and the final result would have been different for further details see Section 4 3 1 Important Note to Users about Full and Part year Households B Qualitative variable categorical In the event a categorical variable is estimated the steps in calculating approximate CVs will be the same as in the quantitative variable example presented Instead of a quantitative value for variable of interest X we would create a dichotomous variable that would be equal to 1 if the household has the features we want to estimate If not it would be equal to 0 To estimate categorical variables various approaches may be used for defining the domain and the variable of interest both of which will produce the same results Let us assume we want to estimate the number of households consisting of more than one person living in a single family dwelling We could proceed in different ways 1 Binary variable 115 equal to 1 for all households and variable X is equal to 1
71. e SHS 0 023 4 If Count vehicles where SHS_Q 023 2 1 3 1 4 OR gt 4 Note This variable gives the number of vehicles car van mini van truck sport utility vehicle owned by members of the household on December 31 completely or partially for private use excluding those leased Variable Name VEHLEASP Unit Type Code Description Vehicles leased at December 31 0 If Count vehicles where SHS_Q 023 2 0 1 If Count vehicles where SHS_Q 023 2 1 or more Code Description 0 No 1 Yes 3 7 Expenditure Food Variable Name F001 Unit Type Dollar Description Total food SHS N 001 SHS N 002 SHS_N 003 SHS_N 004 SHS N 005 SHS N 014 SHS N 015 SHS N 008 Variable Name F002 Unit Type Dollar Description Food purchased from stores SHS N 001 SHS N 002 SHS N 003 SHS N 004 SHS N 005 Note Stores include frozen food provisioners outdoor farmers markets and stands and all other non service establishments Food prepared at home was the term Statistics Canada 41 62M0004XCB used in the 1978 and earlier family expenditure surveys Variable Name F008 Unit Type Dollar Description Food purchased from restaurants SHS N 008 Note Restaurants include refreshment stands snack bars vending machines mobile canteens caterers and coffee wagons Food in eating places was the term used in the 1978 and earlier family expenditure surveys 3 8 Expenditure Shelter
72. e Survey of Household Spending starting with the 1997 reference year interest payments are not available separately from principal Regular mortgage payments on Owned living quarters including both principal and interest are included under Shelter However the entire mortgage payments for owned vacation homes is included under Money flows assets loans and other debts Caution should therefore be used when comparing these data to data from previous years Categories affected include Total expenditure Total current consumption Principal accommodation Owned living quarters Regular mortgage payments Other accommodation Owned vacation home and Money flows assets loans and other debts Variable Name 6002 Unit Type Dollar Description Principal accommodation SHS_1 002 SHS_1 003 100 PctRentAgainstBusiness_1 011 100 SHS_1 004 100 PctRentAgainstBusiness_1 011 100 SHS_1 006 100 PctRentAgainstBusiness_1 011 100 SHS_1 007 100 PctRentAgainstBusiness_1 011 100 SHS_G 002 SHS_G 003 SHS_G 004 SHS_G 005 SHS_G 006 SHS_G 007 SHS_E 003 100 PctExpAgainstBusiness E 009 100 if SHS_G 014 1 SHS_G 016 if SHS_G 015 1 SHS_H 008 SHS_H 011 SHS_H 014 SHS_H 017 SHS_H 019 SHS_H 021 SHS_E 006 100 PctExpAgainstBusiness_E 009 100 SHS_E 003 100 PctExpAgainstBusiness_E 009 100 SHS_E 005 100 PctExpAgainstBusiness_E 009 100 SHS_F 007 SHS_F 008 SHS_
73. e methodology to data quality and to definitions must be considered before making comparisons For more information refer to the Note to Former Users of Data from the Family Expenditure Survey Catalogue no 62F0026MIE2000002 and the Note to Former Users of Data from the Statistics Canada 83 62M0004XCB Household Facilities and Equipment Survey Catalogue no 62F0026MIE2000003 Both documents are available free of charge on the Statistics Canada web site www statcan ca Historical data from the 1997 and 1998 surveys of household spending and the 1996 Family Expenditure Survey have been re weighted using the new weighting methodology described above under Weighting Historical comparisons between data from those surveys and data from recent years of the Surveys of Household Spending should generally be made with re weighted data although the differences between survey estimates from the old and new methodologies appear to be minimal at a summary level Certain populations or variables however may be more strongly affected For 2001 only extra questions were included in the survey so that data from the SHS could be used in the weighting of the Consumer Price Index This change may affect historical comparisons for a few variables For example questions were added under Personal care preparations to collect specific information about hair care products makeup fragrances deodorants and oral hygiene products As a result of these extra
74. e recorder compact disc combination unit Variable Name CABLETV Unit Type Code Description Cablevision 0 If SHS C 014 No 1 If SHS C 014 Yes Code Description 0 No 1 Yes Variable Name SATELLIT Unit Type Code Description Satellite dish 0 If SHS C 015 No 1 If SHS C 015 Yes Statistics Canada 38 62M0004XCB Code Description 0 No 1 Yes Note New for 2001 Variable Name DVD Unit Type Code Description DVD player 0 If SHS C 017 No 1 If SHS C 017 Yes Code Description 0 No 1 Yes Note New for 2001 Variable Name CDWRITER Unit Type Code Description CD writer 0 If SHS C 018 No 1 If SHS C 018 Yes Code Description 0 No 1 Yes Note New for 2001 Variable Name NMVCRP Unit Type Count Description Number of video cassette recorders 0 If SHS C003 0 1 If SHS C003 1 2 If SHS C003 2 3 If SHS C003 3 OR gt 3 Code Description 0 None 1 1 2 2 3 3 or more Note Video cassette recorder VCR is a unit which plays videocassettes when attached to a television or monitor Variable Name COMPUTER Unit Type Code Description Home computer 0 If SHS_C 019 No 1 If SHS C 019 Yes Statistics Canada 39 62M0004XCB Code Description 0 No 1 Yes Note Computers used exclusively for business purposes are excluded Variable Name INTERNET Unit Type Code Description Internet use from home O If SHS_C 020 No 1 If SH
75. each recreation vehicle If SHS_R 012 7 SHS R 023 for each recreation vehicle If SHS_R 012 9 100 PctOtherVehExpAgainstBus R 022 100 for each recreation 100 PctOtherVehExpAgainstBus R 022 100 for each recreation 100 PctOtherVehExpAgainstBus R 022 100 for each recreation 100 PctOtherVehExpAgainstBus R 022 100 for each recreation 100 PctOtherVehExpAgainstBus R 022 100 for each recreation 100 PctOtherVehExpAgainstBus R 022 100 for each recreation M127 Dollar Purchase of recreational vehicles SHS R 023 for each recreation vehicle If SHS_R 012 4 SHS R 023 for each recreation vehicle If SHS_R 012 3 SHS R 023 for each recreation vehicle If SHS_R 012 1 Statistics Canada 63 62M0004XCB Sum SHS R 014 SHS R 023 for each recreation vehicle Sum SHS R 014 SHS R 023 for each recreation vehicle Sum SHS R 014 SHS R 023 for each recreation vehicle Sum SHS R 014 SHS R 023 for each recreation vehicle Sum SHS R 014 SHS R 023 for each recreation vehicle Sum SHS R 014 SHS R 023 for each recreation vehicle Variable Name M128 Unit Type Dollar Description Purchase of bicycles parts and accessories SHS R 001 Variable Name M129 Unit Type Dollar Description Recreational vehicles and outboard motors excluding bicycles Sum SHS R 014 SHS R 023 for each recreation vehicle Sum SHS R 014 SHS R 023 for each recreation vehicle Sum SHS R 014 SHS R 023 for each recreat
76. ectricity Household income before taxes 30 or more Not applicable Households where household income before taxes 0 or less and households with shelter cost to income ratio STIR 1 or more Statistics Canada 75 62M0004XCB Code Description 0 Affordable 1 Not affordable 9 Not applicable Variable Name SUITABLE Unit Type Code Description Housing suitability indicator formerly Crowded Dwelling Indicator This variable was developed by Statistics Canada for Canada Mortgage and Housing Corporation CMHC according to the following specifications The National Occupancy Standard NOS used to measure housing suitability determines the number of bedrooms a household should have for households of different size and composition According to the National Occupancy Standard there must be one bedroom for each cohabiting adult couple unattached household member 18 years of age and over same sex pair of children under age 18 additional boy and or girl in the family unless there are two opposite sex siblings under 5 years of age in which case they are expected to share a bedroom A household of one individual can occupy a bachelor unit i e no bedroom For example a household composed of a couple and two children boy aged 4 and girl aged 2 is expected to require 2 bedrooms When the boy turns 5 years old the requirement would increase to 3 bedrooms Code Description 0 Not Crowded 1 Crowded Note T
77. ental of home entertainment equipment and other services M157 208 11 2 1561 1571 n Recreation services M159 209 11 2 1572 1582 n Entertainment M160 210 11 2 1583 1593 n Movie theatres M161 211 11 2 1594 1604 n Live sports events M162 212 11 2 1605 1615 n Live performing arts M163 213 11 2 1616 1626 Rental of cablevision and satellite services M165 214 11 2 1627 1637 n Rental of cablevision services M408 215 11 2 1638 1648 n Rental of satellite services M409 216 11 2 1649 1659 n Use of recreation facilities M166 217 11 2 1660 1670 n Membership and single usage fees for sports and recreation facilities M167 218 11 2 1671 1681 n Children s camps M171 219 11 2 1682 1692 n Admission to museums and other activities M164 220 11 2 1693 1703 n Package travel tours M172 221 11 2 1704 1714 n Other recreational services M173 READING MATERIALS AND OTHER PRINTED MATTER 222 11 2 1715 1725 n Reading materials and other printed matter M201 223 11 2 1726 1736 n Newspapers M202 224 11 2 1737 1747 n Magazines and periodicals M203 225 11 2 1748 1758 n Books and pamphlets excluding school books M204 EDUCATION 226 11 2 1759 1769 n Education M301 227 11 2 1770 1780 n Education supplies and textbooks M302TOT Statistics Canada 11 62M0004XCB Field Size Implied
78. er is either unable to contact the respondent no member of the household is able to provide information or the respondent refuses to participate in the survey Total non response is handled by adjusting the basic survey weight for responding households to compensate for non responding households For the 2001 Survey of Household Spending the overall response rate was 76 2 See Figure 1 for provincial response rates In most cases partial non response occurs when the respondent does not understand or misinterprets a question refuses to answer a question or is unable to recall the requested information Imputing missing values compensates for this partial non response The importance of the non response error is unknown but in general this error is significant when a group of people with particular characteristics in common refuses to cooperate and where those characteristics are important determinants of survey results Statistics Canada 82 62M0004XCB Figure 1 Response Rates Canada and Provinces Territories 2001 Eligible Non Refusals Unusables Usables Response households contacts 2 rate 1 3 Newfoundland and Labrador 1 753 94 189 37 1 433 81 7 Prince Edward Island 786 36 84 6 660 84 0 Nova Scotia 2 097 141 313 90 1 553 74 1 New Brunswick 1 898 85 265 53 1 495 78 8 Quebec 2 669 173 391 41 2 064 77 3 Ontario 3 351 245 697 259 2 150 64 2 Manitoba 1 816 60 220 32 1 504 82 8 Saskatchewan 1 861 76 250 54 1 481 79 6
79. erations SHS_H 002 SHS_H 004 SHS_H 006 Variable Name NEWINST Unit Type Dollar Description New installations of equipment and fixtures SHS_H 009 SHS_H 012 SHS_H 015 Variable Name YRMOVEDP Unit Type Code Description Year household moved to the dwelling occupied at December 31 SHS_D 003 Code Description 1 Before 1970 2 1970 1979 3 1980 1989 4 1990 2000 Note This item refers to the year the household moved into the dwelling If the dwelling was occupied by previous generations the first year that the household member who occupied the dwelling the longest is recorded Statistics Canada 18 62M0004XCB Variable Name BUYHMFLG Unit Type Code Description Household purchased home in reference year SHS F 001 Code Description 0 No 1 Yes Variable Name HEATMAIP Unit Type Code Description Principal heating equipment 1 If SHS 008 01 2 If SHS 008 02 or 03 3 If SHS_B 008 04 06 or 07 4 IF SHS B 008 05 Code Description 1 Steam or hot water furnace 2 Forced hot air and other hot air furnace 3 Heating stoves including wood stove cookstove or other 4 Electric heating Note This variable indicates the type of heating equipment which is chiefly used to heat the dwelling in winter Steam or hot water furnaces distribute central heating through radiators located throughout the house and connected by pressure pipes Forced hot air furnaces distribute ce
80. ernment subsidized housing 2 Other reason e g services to landlord 3 No reduced rent 3 3 Variable Name RPINCTOT Unit Type Dollar Description Sum SHS U 011 for Reference Person Sum SHS U 012 for Reference Person Sum SHS U 013 for Reference Person Sum SHS U 014 for Reference Person Sum SHS U 015 for Reference Person Sum SHS U 016 for Reference Person Sum SHS U 018 for Reference Person Note Characteristics of Reference Person Income of reference person before taxes Sum SHS U 004 for Reference Person Sum SHS U 005 for Reference Person Sum SHS U 006 for Reference Person Sum SHS U 007 for Reference Person Sum SHS U 008 for Reference Person Sum SHS U 009 for Reference Person Sum SHS U 010 for Reference Person If SHS_A 012 between 1 and 3 If SHS_A 012 between 1 and 3 If SHS_A 012 between 1 and 3 If SHS_A 012 between 1 and 3 If SHS_A 012 between 1 and 3 If SHS_A 012 between 1 and 3 If SHS_A 012 between 1 and 3 If SHS_A 012 between 1 and 3 If SHS_A 012 between 1 and 3 If SHS_A 012 between 1 and 3 If SHS_A 012 between 1 and 3 If SHS_A 012 between 1 and 3 If SHS_A 012 between 1 and 3 If SHS_A 012 between 1 and 3 transfer payments and other sources Variable Name RPINCEAR Unit Type Dollar Description Sum SHS U 004 for Reference Person Sum SHS U 005 for Reference Person Sum SHS U 006 for Reference Person Sum SHS U 007 for Reference
81. ervices Note New for 2001 Variable Name Unit Type Description SHS_S 021 SHS_S 022 SHS_S 023 SHS_S 024 SHS_S 025 SHS_S 020 SHS_S 026 Variable Name Unit Type Description M166 Dollar Use of recreation facilities M167 Dollar Membership fees for sports and recreation facilities Statistics Canada 67 62M0004XCB SHS 5 021 SHS 8 022 SHS_S 023 SHS_S 024 SHS_S 025 Note Combined variable for 2001 Variable Name Unit Type Description SHS_S 026 Variable Name Unit Type Description SHS_S 018 Variable Name Unit Type Description SHS_R 100 M171 Dollar Children s camps M164 Dollar Admission to museums and other activities M172 Dollar Package travel tours Note Package trips that included at least two components of a travel tour such as transportation and accommodation or accommodation with food and beverages Variable Name Unit Type Description SHS_S 027 M173 Dollar Other recreational services e g fishing and hunting licenses party planning 3 16 Expenditure Reading Materials and Other Printed Matter Variable Name Unit Type Description SHS_S 030 SHS 5 031 SHS 5 032 SHS 5 033 SHS 5 034 Variable Name Unit Type M201 Dollar Total reading materials and other printed matter M202 Dollar Statistics Canada 68 62M0004XCB Description Newspapers SHS S 030 Variable Name M203 Unit Type
82. es N107 Dollar Alcoholic beverages purchased from stores N108 Dollar Self made alcoholic beverages 3 19 Expenditure Other Variable Name Unit Type Description SHS K 021 O101 Dollar Total miscellaneous expenditures Statistics Canada 70 62M0004XCB SHS T 018 SHS T 003 SHS T 004 SHS T 005 SHS T 006 Sum SHS V 011 for each Person If SHS A 012 between 1 and 3 and SHS A 003 lt 1987 SHS T 016 SHS T 015 SHS T 017 SHS T 019 SHS T 021 Note Includes expenses on other property not principal accommodation or vacation home legal services financial services dues to unions and professional associations contributions and dues for social clubs forfeits of deposits fines money lost and purchase of tools and equipment for work Prior to 1997 in the Family Expenditure Survey interest on personal loans and interest paid on mortgages and loans for other property were reported under Miscellaneous Principal payments for mortgages and loans were reported under Money flows assets loans and other debts since they were considered to pertain to a change in the value of household assets or debts For the Survey of Household Spending starting with the 1997 reference year interest payments are not available separately from principal Payments for personal loans and mortgages and loans pertaining to other property including both principal and interest are reported under Money flows assets
83. for households consisting of one person in Manitoba consisting of one person in Manitoba urban rural 4 66 925 919 18 652 406 5 1 058 704 1 058 704 6 63 21 17 62 9 6 3178 x 10 1 5257 x 10 10 6 3178 x 10 1 5257 x 10 11 11 88 20 94 The estimate of the ratio would be equal to 66 925 919 18 652 406 3 59 one person households in urban Manitoba spend 3 times more on furnishing than those in rural Manitoba How does the user determine the CV of this estimate We have already calculated CVs for each of the two estimates involved in estimating the ratio We would thus apply rule 3 to obtain the desired CV CVA 4CVAA CVAL 411 88 20 94 24 08 This CV should be identified as Marginal see section 4 3 6 Guidelines for Release as it is quite high being between 16 6 and 33 3 Example 3 Approximation of CV for estimating differences Let us assume we wanted to estimate the difference between total expenditures on furnishings and household equipment in Alberta and in Manitoba as well as the CV for this difference We would estimate total expenditures on furnishings and household equipment along with their respective CVs for Manitoba total 615 196 964 CV 3 77 and for Alberta total 2 218 711 878 CV 3 85 Estimation of the difference would thus be 2 218 711 878 615 196 964 1 603 514 914 Rule 3 can be applied to obtain the desired CV EST CVA EST CVA 1 1 t EST 2 EST p
84. g standard statistical tables users must use the appropriate sampling weight Otherwise the estimates calculated using the microdata files cannot be considered as representative of the observed population and will not correspond to those that would be obtained by Statistics Canada using this microdata file See Section 4 1 6 Weighting Users should also note that depending on the method they use to process the weight field some software packages may not produce estimates that correspond exactly to those of Statistics Canada using this microdata file 4 3 4 Types of Estimates Categorical Versus Quantitative Before discussing how SHS data can be totalled and analysed it is useful to describe the two main types of estimations that may be produced from the microdata file for the Survey of Household Spending 4 3 4 1 Categorical estimates Categorical estimates are estimates of the number or percentage of households in the survey s target population that have certain characteristics or belong to a defined category The number of households reporting a particular expenditure is an example of this type of estimate The expression aggregate estimate can also be used to refer to an estimate of the number of individuals with a given characteristic Examples of categorical questions Statistics Canada 85 62M0004XCB Did you have a cellular telephone for personal use yes no When was your residence built _ 1920 or earlier _
85. h Person If PersonNo between 01 and 15 and SHS A 012 between 1 and 3 Sum SHS 0 104 for each Person If PersonNo between 01 and 15 and SHS A 012 between 1 and 3 SHS O 143 SHS 0 102 If PersonNo 00 SHS 0 104 If PersonNo 00 Statistics Canada 53 62M0004XCB Variable Name J017 Unit Type Dollar Description Clothing gifts to non household members children under 4 years SHS O 143 SHS 0 102 If PersonNo 00 SHS O 104 If PersonNo 00 Variable Name J019TOT Unit Type Dollar Description Clothing material and notions SHS O 144 SHS O 145 Variable Name J021 Unit Type Dollar Description Clothing services SHS O 147 SHS M 019 SHS M 020 Variable Name J023TOT Unit Type Dollar Description Laundry and dry cleaning services laundromats and self service dry cleaning SHS M 019 SHS M 020 3 12 Expenditure Transportation Variable Name K001 Unit Type Dollar Description Total transportation Sum SHS 0 015 for each vehicle If SHS_Q 012 1 Sum SHS Q 015 for each vehicle If SHS 0 012 2 or 3 Sum SHS Q 025 1 for each vehicle Sum SHS Q 031 100 PctVehExpAgainstBus Q 039 100 for each Vehicle SHS Q 201 SHS Q 202 SHS Q 203 SHS Q 204 SHS Q 205 SHS Q 206 Sum SHS Q 017 for each vehicle Sum SHS Q 018 for each vehicle Sum SHS Q 030 100 PctVehExpAgainstBus_Q 039 100 for each vehicle Sum SHS Q 032 100 PctVehExpAgainstBus Q 03
86. he National Occupancy Standard was developed by CMHC through a formal Federal Provincial Territorial consultation process to encompass the commonalities of all the provincial territorial occupancy standards and to serve as Canada s official housing suitability measure or indicator See also CMHC Socio Economic Research Highlights Issue 55 1 Special Studies on 1996 Census Data Canadian Housing Conditions page 1 and footnote 3 www cmhc Schl gc ca publications en rh pr index html Variable Name RQNUMBED Unit Type Code Description Required number of bedrooms This variable was developed by Statistics Canada for Canada Mortgage and Housing Corporation CMHC This variable represents the number of bedrooms required by the household under the National Occupancy Standard The calculation of the required number of bedrooms is the first step in the calculation of the variable SUITABLE formerly CROWDED According to the National Occupancy Standard there must be one bedroom for each cohabiting adult couple unattached household member 18 years of age and over same sex pair of children under age 18 additional boy and or girl in the family unless there are two opposite sex siblings under 5 years of age in which case they are expected to share a bedroom A household of one individual can occupy a bachelor unit i e no bedroom Statistics Canada 76 62M0004XCB For example a household composed of a couple and two children boy
87. he variable Other money receipts Variable Name 0201 Unit Type Dollar Description Personal taxes net of refunds Sum SHS V 002 for each Person If SHS_A 012 between 1 and 3 and SHS_A 003 lt 1987 Sum SHS V 003 for each Person If SHS_A 012 between 1 and 3 and SHS_A 003 lt 1987 Sum SHS V 004 for each Person If SHS_A 012 between 1 and 3 and 5 5 003 lt 1987 Sum SHS_U 017 1 for each Person If SHS_A 012 between 1 and 3 and SHS_A 003 1987 Note Personal taxes are income taxes paid in the reference year for that year and on income from previous years if applicable Also included are other personal taxes gift taxes Newfoundland school tax etc minus income tax refunds received in the reference year except for federal Child Tax Benefits Goods and Services Tax credits and provincial tax credits These tax credits are included in average household income before taxes Variable Name 0301 Unit Type Dollar Description Total personal insurance payments and pension contributions Sum SHS V 005 for each Person If SHS_A 012 between 1 and 3 and SHS 003 lt 1987 Sum SHS V 006 for each Person If SHS_A 012 between 1 and 3 and SHS 003 lt 1987 Sum SHS V 007 for each Person If SHS 012 between 1 and 3 and SHS 003 lt 1987 Sum SHS V 009 for each Person If SHS_A 012 between 1 and 3 and SHS 003 lt 1987 Sum SHS V 008 for each Person If SHS_A 012 between 1 and 3 and SHS 003 l
88. hwest Territories and 89 in Nunavut Information was not gathered from persons temporarily living away from their families for example students at university because it would be gathered from their families if selected In this way double counting of such individuals was avoided Data from part year households were excluded from estimates of average household spending However these data were included in the estimates for dwelling characteristics and household equipment and in the calculation of the Survey of Household Spending response rate Data from part year households are also required as input into Canada s System of National Accounts Part year households are comprised entirely of persons who were members of other households for part of the reference year There were 516 part year households in the sample in 2001 4 1 2 Survey Content and Reference Period Detailed information was collected about expenditures for consumer goods and services changes in assets mortgages and other loans and annual income This information was collected for the calendar year 2001 the survey reference year Information was also collected about dwelling characteristics e g type and age of heating equipment and household equipment e g appliances communications equipment and vehicles This type of information was collected as of December 31 of the reference year Because the Survey of Household Spending is designed principally to provide detai
89. ies in household ECFAM 51 1 0 209 209 c Household type HHTYPEP 52 2 0 210 211 n Household size at December 31 HHSZD31 53 1 0 212 212 n Number of children 0 to 4 December 31 CH04D31 54 1 0 213 213 n BLANK 55 1 0 214 214 n Number of children 5to 17 December 31 CH517D31 56 1 0 215 215 n j Blank BLANK 57 1 0 216 216 n Number of youths 181024 December 31 Y1824D31 58 1 0 217 217 n Number of adults 25 to 64 years December 31 A2564D31 59 1 0 218 218 n Number of seniors 65 years or more December 31 SE65D31 60 2 0 219 220 n Household size number of persons a member sometime in reference year HHSZTOT 61 2 0 221 222 n of youngest child member sometime in reference year AGEYOUNP 62 3 0 223 225 n Total number of weeks sum for all household members NUMWKS 63 1 0 226 226 n Number of full time earners NUMFTP 64 1 0 227 227 n Number of part time earners NUMPTP 65 1 0 228 228 c Household major source of income MAINCSCP 66 11 2 229 239 n Household income before taxes HHINCTOT 67 11 2 240 250 n Household income from earnings HHINCEAR 68 11 2 251 261 n Household income from investment HHINCINV 69 11 2 262 272 n Household income from government transfer payments HHINCTRA 70 11 2 278 283 n Household income from other sources HHINCOTH 71 11 2 284 294 n Total other money receipts TOTHMONR 72 11 2 295 305 n Money flows assets loans and other debts MONFLO
90. in the purchase of a home and built in appliances Expenditures on household fixtures e g built in appliances and wall to wall carpeting can be reported under the appropriate expenditure item or if they were part of a larger job under Additions renovations etc to a home or Maintenance repairs and replacements Variable Name 1027TOT Unit Type Dollar Description Other household tools equipment and accessories SHS_L 084 SHS_L 085 SHS_L 081 SHS_L 082 SHS_L 083 SHS_L 003 SHS_L 072 SHS_L 071 SHS_L 086 SHS_L 087 SHS_L 088 SHS_L 089 Variable Name 1042 Unit Type Dollar Description Maintenance and repairs of furniture and equipment SHS_L 008 SHS_L 051 SHS_L 090 Variable Name 1046 Unit Type Dollar Description Services related to furnishings and equipment Statistics Canada 51 62M0004XCB SHS J 004 SHS L 091 3 11 Expenditure Clothing Variable Name J001 Unit Type Dollar Description Total clothing Sum SHS 0O 002 for each Person between 1 and 3 Sum SHS 0O 003 for each Person between 1 and 3 Sum SHS O 004 for each Person between 1 and 3 Sum SHS 0O 005 for each Person between 1 and 3 Sum SHS 0O 006 for each Person between 1 and 3 Sum SHS 0 007 for each Person between 1 and 3 SHS O 141 Sum SHS 0O 052 for each Person between 1 and 3 Sum SHS 0O 053 for each Person between 1 and 3 Sum SHS 0 054 for each Person between 1 and 3 Sum SHS 0O
91. ines for Rounding To ensure that estimates from this microdata file intended for publication or any other type of release correspond to estimates that would be obtained by Statistics Canada we strongly recommend that users comply with the following guidelines for rounding estimates a Estimates in the body of a statistical table must be rounded to the nearest hundredth using the traditional rounding technique i e if the first or only number to be eliminated is between and 4 the preceding number does not change If the first or only number to be eliminated is between 5 and 9 the value of the last number to be retained increases by 1 For example when using the traditional technique of rounding to the nearest full year household has at least one member present throughout the year A part year household consists entirely of members present only part of the year A member present for part of the year is a member of a household who has been present less than 52 weeks Income and expenditure data for members present just part of the year are collected for only that part of the year they were included in the household Statistics Canada 84 62M0004XCB hundredth if the last two numbers are between 00 and 49 they are replaced by 00 and the preceding number denoting hundredths stays as is If the last two numbers are between 50 and 99 they are replaced with 00 and the preceding number increased by 1 b Total partial sub totals and
92. ing joined to only one other dwelling separated from it by a wall extending from ground to roof Row or terrace A dwelling unit in a row of three or more dwellings sharing common walls extending from ground to roof and in which there are no other dwellings either above or below Duplex Two dwellings situated one above the other not attached to any other structure and surrounded on all sides by open space Apartment Dwellings in triplexes quadruplexes or apartment separated from other dwellings by horizontal and vertical divisions Hotel rooming or lodging house mobile home or other Includes motels hotels tourist homes halfway houses school residences YM YMCAs all rooming and lodging houses or individual rooms within such structures Statistics Canada 14 62M0004XCB bunk houses in lumber mining construction and military camps and Hutterite colonies mobile homes movable dwellings designed and constructed to be transported by road on their own chassis to a site and placed on a temporary foundation such as block posts or a prepared pad others dwellings other than mobile homes used as permanent residences and capable of being moved on short notice e g motor homes tents railroad cars houseboats including float houses and live aboard boats Additional clarification Although we exclude identified collectives at the time of Survey it is possible that on December 31 the household lived in a
93. ion 1 Owned without mortgage on December 31 2 Owned with mortgage on December 31 3 Rented or occupied rent free on December 31 Note Owned with mortgage indicates that on December 31 the dwelling was owned by a household member and there was a mortgage Owned without mortgage indicates that on December 31 the dwelling was owned by a household member and there was no mortgage Rented or occupied rent free indicates that on December 31 the dwelling was rented or occupied rent free by a household member Variable Name PURPRICE Unit Type Dollar Description Purchase price of home bought in reference year SHS F 003 Statistics Canada 17 62M0004XCB Variable Name SELPRICE Unit Type Dollar Description Selling price of home sold in reference year SHS F 006 Variable Name REPAIRS Unit Type Code Description Dwelling repairs needed 1 If SHS 004 18 2 If SHS 004 19 3 If SHS 004 20 Code Description 1 Yes major repairs were needed 2 Yes minor repairs were needed 3 No only regular maintenance was needed Note This variable indicates the respondent s perception of the repairs the dwelling needed on December 31 to restore it to its original condition Remodelling additions conversions or energy improvements which would upgrade the dwelling over and above its original condition are excluded Variable Name ADRENALT Unit Type Dollar Description Additions renovations and alt
94. ion Toys electronic games and art hobby materials SHS 5 007 5 008 5 009 Note In 1997 this variable included spending on computer equipment and supplies Statistics Canada 62 62M0004XCB Variable Name Unit Type Description SHS L 019 SHS L 020 SHS L 022 SHS L 023 Variable Name Unit Type Description SHS S 003 SHS 5 004 SHS_S 005 Variable Name Unit Type Description SHS_R 001 Sum SHS_R 014 Sum SHS R 014 Sum SHS R 014 Sum SHS R 014 Sum SHS R 014 Sum SHS R 014 Sum SHS R 014 Sum SHS R 014 Sum SHS R 014 SHS R 002 SHS R 091 Sum SHS R 016 vehicle Sum SHS R 015 vehicle Sum SHS R 017 vehicle Sum SHS R 018 vehicle Sum SHS R 019 vehicle Sum SHS R 020 vehicle Variable Name Unit Type Description SHS R 001 Sum SHS R 014 Sum SHS R 014 Sum SHS R 014 M110 Dollar Computer equipment and supplies M116 Dollar Photographic goods and services M126 Dollar Recreational vehicles and associated services SHS R 023 for each recreation vehicle If SHS_R 012 4 SHS R 023 for each recreation vehicle If SHS_R 012 3 SHS R 023 for each recreation vehicle If SHS_R 012 1 SHS R 023 for each recreation vehicle If SHS_R 012 2 SHS R 023 for each recreation vehicle If SHS_R 012 8 SHS R 023 for each recreation vehicle If SHS_R 012 5 SHS R 023 for each recreation vehicle If SHS_R 012 6 SHS R 023 for
95. ion vehicle Sum SHS R 014 SHS R 023 for each recreation vehicle Sum SHS R 014 SHS R 023 for each recreation vehicle Sum SHS R 014 SHS R 023 for each recreation vehicle Sum SHS R 014 SHS R 023 for each recreation vehicle Sum SHS R 014 SHS R 023 for each recreation vehicle Sum SHS R 014 SHS R 023 for each recreation vehicle Variable Name M139 Unit Type Dollar Description Operation of recreational vehicles SHS R 002 SHS R 091 Sum SHS R 016 100 PctOtherVehExpAgainstBus R 022 100 for each recreation vehicle Sum SHS R 015 100 PctOtherVehExpAgainstBus R 022 100 for each recreation vehicle Sum SHS R 017 100 PctOtherVehExpAgainstBus R 022 100 for each recreation vehicle Sum SHS R 018 100 PctOtherVehExpAgainstBus R 022 100 for each recreation vehicle Sum SHS R 019 100 PctOtherVehExpAgainstBus R 022 100 for each recreation vehicle Sum SHS R 020 100 PctOtherVehExpAgainstBus R 022 100 for each recreation vehicle Variable Name M140 Unit Type Dollar Description Bicycle maintenance and repairs SHS R 002 Variable Name M142TOT Unit Type Dollar Description Other recreation vehicle operation If SHS_R 012 2 If SHS_R 012 8 If SHS_R 012 5 If SHS_R 012 6 If SHS_R 012 7 If SHS_R 012 9 If SHS_R 012 4 If SHS_R 012 3 If SHS_R 012 1 If SHS_R 012 2 If SHS_R 012 8 If SHS_R 012 5 If SHS_R 012 6 If SHS_R 012 7 If SHS_R
96. led information on non food expenditures only an overall estimate of food expenditure is recorded Detailed information on food expenditure is provided by the Food Expenditure In order to reduce response burden for northern households the SHS is conducted in the north only every second year starting in 2001 Statistics Canada 78 62M0004XCB Survey which is conducted every four to five years It was last conducted in 2001 In January 2003 the results were published in Food Expenditure in Canada 2001 Catalogue no 62 554 XPB 4 1 3 The Sample The sample size for the 2001 Survey of Household Spending was 22 172 eligible households This sample was a stratified multi stage sample selected from the Labour Force Survey LFS sampling frame Sample selection comprised two main steps the selection of clusters small geographic areas from the LFS frame and the selection of dwellings within these selected clusters The LFS sampling frame mainly uses 1991 Census geography and 1991 population counts 4 1 4 Data Collection The 2001 Survey of Household Spending was conducted from January to March 2002 Data were collected during a personal interview using a paper questionnaire A copy of this questionnaire is available on request Only a few questions required coding and this was done by the interviewer checked by the senior interviewer and in many cases checked for consistency with the rest of the information on the questionnaire
97. n Number of vehicles owned on December 31 NMVEHONP 96 1 0 339 339 c Vehicles leased on December 31 VEHLEASP EXPENDITURES FOOD 97 11 2 340 350 n Food F001 98 11 2 351 361 n Food purchased from stores F002 99 11 2 362 372 n Food purchased from restaurants F008 SHELTER 100 11 2 373 383 n Shelter G001 101 11 2 384 394 n Principal accommodation 6002 102 11 2 395 405 n Rented living quarters G003 103 11 2 406 416 n Rent G004 104 11 2 417 427 n Owned living quarters G007 105 11 2 428 438 n Regular mortgage payments G040 106 11 2 439 449 n Maintenance repairs and replacements G008 107 11 2 450 460 n Condominium charges G009 108 11 2 461 471 n Property taxes G010 109 11 2 472 482 n Homeowners insurance premiums 6011 110 11 2 483 493 n Water fuel and electricity G019 111 11 2 494 504 n Water and sewage G020 112 11 2 505 515 n Fuel eg oil gas etc G022 113 11 2 516 526 n Electricity G024 114 11 2 527 537 n Other accommodation G025 115 11 2 538 548 n Owned vacation home G026 116 11 2 549 559 n Traveller accommodation G032 HOUSEHOLD OPERATION 117 11 2 560 570 n Household operation H001 118 11 2 571 581 n Communications H002 119 11 2 582 592 n Telephone H003 120 11 2 593 603 n Purchase of telephones and equipment H004 121 11 2 604 614 n Telephone services H005 122 11 2 615 625 n Cellular services H008 123 11 2 626
98. n of CV for estimates of totals used in the calculation of average expenditure Let us assume we want to estimate average expenditure on furnishings and household equipment for one person households in Manitoba To do so we would have to estimate the number of one person households in Manitoba as well as the total of their expenditure on furnishings and household equipment Because we are interested here in calculating average expenditures part year households are outside the domain of interest For further details see section 4 3 1 Important Note to Users about Full and Part year Households This is why estimates of totals are slightly different than those obtained in the prior two examples Figure 7 Calculation of ACV Step Number of one person Total expenditure on furnishings and households in Manitoba household equipment for households consisting of one person in Manitoba 4 112 257 80 618 608 5 1 058 704 1 058 704 6 0 11 76 15 9 41 082 576 7 4135 x 10 10 41 082 576 7 4135 x 10 11 5 71 10 68 Example 2 Approximation of CV for estimating ratios Let us assume we want to estimate the ratio between the average expenditures on furnishings and household equipment for one person households in urban Manitoba and rural Manitoba Statistics Canada 94 62M0004XCB Figure 8 Calculation of ACV Step Total expenditure on furnishings and Total expenditure on furnishings and household equipment for households household equipment
99. nd 49 3 11 Expenditure Clothing seen een ennemis 52 3 12 Expenditure Transportation 54 3 13 Expenditure Health 57 3 14 Expenditure Personal Care ssssssssssssssseseseeenenneneerene tenens 60 3 15 61 3 16 Expenditure Reading Materials and Other Printed 68 3 17 Expenditure Education trt edt bre 69 3 18 Expenditure Tobacco Products and Alcoholic 69 3 19 Expenditure 70 3 20 Additional eee ennemi nnne 75 TECHNICAL INFORMATION 78 4 1 Survey Methodology rea eei aera aaraa ae eNEAN EAA AA REET 78 4 1 1 The Survey Universe 78 4 1 2 Survey Content and Reference Period sse 78 4 1 3 The Samples iiaa aaa 79 4 1 4 Data Collection ee 79 4 1 5 Data Processing and Quality Control seee 79 4 1 6 Weighting eec ERR AE 80 4 2 Ba
100. nd resides in Manitoba otherwise equals 0 2 defined for each household as the product of the binary variable and the total household furnishing and equipment expenditures variable Note that the estimate of spending on household furnishings and equipment is obtained by adding the product of variable Y defined in 2 and the final weight of the household Figure 5 shows the results of some of the steps in the approximate CV calculation Figure 5 Calculation of ACV Step Total spending on household furnishings and equipment for one person households in Manitoba 4 85 578 325 5 1 058 704 6 80 83 9 7 9661 x10 10 7 9661 x10 11 10 43 Example 1b Approximation of CV for estimates of totals qualitative variable Let us assume we now want to estimate the total number of Canadian one person households as well as the total number of Canadian households made up of one person living in different types of accommodations In this case variable is defined as having the value 1 if the household is one person If not itis 0 We must create five Z variables Z1 with a value of 1 if the type of residence occupied is a single family dwelling and 0 if not Z2 equals 1 if the type of residence is semi detached and 0 if it is not Z3 equals 1 if the type of residence is a townhouse and 0 if it is not Z4 equals 1 if the type of residence is a row house and O if it is not Finally Z5 equals 1 if the type of house is other and O
101. nfidentiality e All explicitly identifying information such as identification numbers was removed from the file Names and addresses are not data captured e 203 records had their province codes set to 0 due to special characteristics e g exceedingly high or low expenditure values These records were reweighted e three territories are grouped under the same code e There was top coding and collapsing of code sets for non spending variables e Income values at the household reference person and spouse of reference person levels were rounded in the following manner For income values between 1 and 9 999 round to the nearest 100 For income values between 10 000 and 99 999 round to the nearest 1 000 For income values between 100 000 and 999 999 round to the nearest 10 000 For income values between 1 000 000 and 9 999 999 round to the nearest 100 000 For income values between 10 000 000 and 99 999 999 round to the nearest 1 000 000 there are no such values on the 2001 file The variables Purchase price of dwelling and Selling price of dwelling were also rounded Statistics Canada 97 62M0004XCB 5 APPENDICES SEE EXCEL FILE APPENDIX A Frequency Counts Public use Microdata File SHS 2001 APPENDIX B Part 1 of 3 Averages Aggregates Minimum and Maximum Values Public use Microdata File SHS 2001 Full year and Part year Households Part 2 of 3 Averages Aggregates Minimum and
102. ng inside Canada 0403 250 11 2 2023 2033 n Gifts of money and other support payments to persons living outside Canada 0404 251 11 2 2034 2044 n Religious organizations O406 252 11 2 2045 2055 n Non religious charitable organizations 0407 253 11 2 2056 2066 n Current expense TOTCUCON 254 11 2 2067 2077 n Total expense TOTEXPEN ADDITIONAL VARIABLES 255 1 0 2078 2078 c Housing adequacy indicator ADEQUACY 256 1 0 2079 2079 c Housing affordability indicator AFFORDAB 257 1 0 2080 2080 c Housing suitability indicator SUITABLE 258 2 0 2081 2082 Required number of bedrooms RQNUMBED 259 11 2 2083 2093 n Monthly serviced rent MONRENT New for 2001 combined variable C character n 7 numeric Statistics Canada 12 62M0004XCB 3 DATA DICTIONARY 3 1 Location Variable Name CASEID Unit Type Code Description Identification number Variable Name WEIGHT Unit Type Count Description Weight at household level Variable Name FYPYFLAG Unit Type Code Description Full year part year household indicator Code 1 2 Note Description Full year household Part year household To create statistics for average annual expenditures users should use data for full year households To tabulate dwelling characteristics household equipment or create other types of expenditure statistics such as aggregates or market share users should use data for full year and part year households Variable Name PROVINCP U
103. nit Type Code Description Province Territory Code Description 00 Masked records 10 Newfoundland and Labrador 11 Prince Edward Island 12 Nova Scotia 13 New Brunswick 24 Quebec 35 Ontario 46 Manitoba 47 Saskatchewan 48 Alberta 59 British Columbia 60 Yukon Northwest Territories Nunavut Variable Name URBRUR Unit Type Code Description Urban rural region code Code Description 0 Masked records 1 Urban 2 Rural Statistics Canada 13 62M0004XCB Variable Name URBSIZEP Unit Type Code Description Size of area of residence code Code Description 0 Masked records 1 100 000 and over 2 Under 100 000 3 Rural 3 2 Dwelling Variable Name TYPDWELP Unit Type Code Description Type of dwelling occupied at December 31 1 If SHS 001 01 2 If SHS 001 02 If SHS_B 001 03 If SHS_B 001 04 If SHS_B 001 05 or 06 If SHS_B 001 between 07 and 09 Single detached Double Row or terrace Duplex Apartment Hotel rooming or lodging house mobile home or other 3 4 5 6 Code Description 1 2 3 4 5 Note This variable describes the type of dwelling in which the household resided on December 31 A dwelling is a structurally separate set of living premises with a private entrance from outside the building or from a common hall or stairway Single detached A structure with one dwelling only separated by open space from all other structures Double or semi detached A dwell
104. ntral heating by a motor driven fan through vents located throughout the dwelling This is the most common central heating System Furnaces with a pump are included in this category Other hot air furnaces distribute central heating by convection natural flow of hot air through vents located throughout the house Gravity furnaces are included in this category Heating stoves are localised heating units with no central distribution system to other parts of the house e g oil space heater gas space heater wood stoves Also includes cookstoves and any other type of heating equipment not listed above Electric heating includes electric furnaces and permanently installed baseboard electric heating and other types such as floor or ceiling heating wires in all or most rooms Variable Name HEATAGE Unit Type Code Description Age of principal heating equipment 1 If SHS 010 08 2 If SHS 010 09 3 If SHS B 010 10 4 IFSHS B 010 11 5 If SHS_B 010 12 Statistics Canada 19 62M0004XCB Code Description 1 5 years or less 2 6 to 10 years 3 11 to 15 years 4 16 to 20 years 5 Over 20 years Note This variable indicates how long ago the principal heating equipment was installed Variable Name HEATFUEP Unit Type Code Description Principal heating fuel 1 If SHS B 011 13 2 If SHS 011 14 3 If SHS_B 011 16 4 If SHS 011 15 17 ou 18 Code Description 1 Oil or other liquid fuel
105. o 4 years in the household at December 31 Code Description 0 1 Actual numbers 2 2 or more Count of persons having age reference year year of birth A 003 5 and person data collection code A 012 1 to 3 and member on December 31 A 007 1 Note Top coded at 2 in the public use file Variable Name CH517D31 Unit Type Count Description Number of children aged 5 to 17 years in the household at December 31 Code Description 0 2 Actual numbers 3 3 or more Count of persons having age reference year year of birth A 003 gt 4 and lt 18 and person data collection code A 012 1 to 3 and member on December 31 A 007 1 Note Top coded at 3 in the public use file Variable Name 1824031 Unit Type Count Description Number of youths aged 18 to 24 years in the household at December 31 Code Description 0 1 Actual numbers 2 2 or more Count of persons having age reference year year of birth A 003 gt 17 and 25 and person data collection code A 012 1 to 3 and member on December 31 A 007 1 Note Top coded at 2 in the public use file Variable Name 2564031 Unit Type Count Description Number of adults aged 25 to 64 years at December 31 Code Description Statistics Canada 29 62M0004XCB 0 1 Actual numbers 2 2 or more Count of persons having age reference year year of birth A 003 gt 24 and lt 65 and person data collection code A 012 1 to 3 and member on December 31
106. o products and alcoholic beverages games of chance and a miscellaneous group of items Caution should be used when comparing total current consumption for the Survey of Household Spending 1997 on to total current consumption from previous years Family Expenditure Survey See Shelter and Miscellaneous for more information Prior to 1997 expenditures for gifts were not included in total current consumption Starting in 1997 these expenditures are reported in the appropriate category and therefore contribute to total current consumption Variable Name TOTEXPEN Unit Type Dollar Description Total expenditure Note The expenditures included in Total current consumption plus personal taxes personal insurance payments and pension contributions and gifts of money and contributions to persons outside the household Caution should be used when comparing total expenditure for the Survey of Statistics Canada 74 62M0004XCB Household Spending 1997 on to total expenditure from previous years Family Expenditure Survey See Shelter and Miscellaneous for more information 3 20 Additional Variables Variable Name ADEQUACY Unit Type Code Description Housing adequacy indicator This variable was developed by Statistics Canada for Canada Mortgage and Housing Corporation CMHC to identify any household living in a unit in need of major repairs and or lacking hot cold running water inside toilet or a bath shower
107. on SHS L 013 Variable Name Unit Type Description SHS L 031 SHS L 032 Variable Name Unit Type Description SHS L 036 Variable Name Unit Type Description SHS_S 016 SHS_S 019 SHS_S 017 SHS_S 018 SHS_L 034 SHS_L 035 SHS_S 021 SHS_S 022 SHS_S 023 SHS_S 024 SHS_S 025 SHS_S 020 SHS_S 026 SHS_R 100 SHS_R 027 Variable Name Unit Type Description SHS_S 016 SHS_S 019 SHS_S 017 SHS_S 018 SHS_L 034 SHS_L 035 Variable Name Unit Type M153 Dollar Televisions video cassette recorders VCRs camcorders and other television video components M156 Dollar Rental of videotapes DVDs and videodiscs M157 Dollar Rental of home entertainment equipment and other services M159 Dollar Recreation services M160 Dollar Entertainment M161 Dollar Statistics Canada 66 62M0004XCB Description SHS 5 016 Variable Name Unit Type Description SHS 5 019 Variable Name Unit Type Description SHS_S 017 Variable Name Unit Type Description SHS_L 034 SHS_L 035 Variable Name Unit Type Description SHS_L 034 Movie theatres M162 Dollar Live sports events M163 Dollar Live performing arts M165 Dollar Rental of cablevision and satellite services M408 Dollar Rental of cablevision services Note New for 2001 Variable Name Unit Type Description SHS_L 035 M409 Dollar Rental of satellite s
108. on If PersonNo between 01 and 15 and SHS A 012 between 1 and 3 SHS 0 103 If PersonNo 00 SHS L 062 SHS P 008 SHS P 001 SHS P 002 Variable Name L202 Unit Type Dollar Description Personal care supplies and equipment SHS P 003 SHS P 004 SHS P 005 SHS P 006 SHS P 007 Sum SHS 0O 103 for each Person If PersonNo between 01 and 15 and SHS A 012 between 1 and 3 SHS 0 103 If PersonNo 00 SHS L 062 SHS P 008 Variable Name L207 Unit Type Dollar Description Personal care services SHS P 001 SHS P 002 Statistics Canada 60 62M0004XCB 3 15 Expenditure Recreation Variable Name M101 Unit Type Dollar Description Total recreation SHS S 001 SHS S 011 SHS S 009 SHS S 008 SHS 5 007 SHS L 019 SHS L 020 SHS L 022 SHS L 023 SHS 5 003 SHS S 004 SHS S 005 SHS S 006 SHS_S 012 SHS S 002 SHS_S 013 SHS_S 015 SHS_S 014 SHS_R 001 Sum SHS_R 014 SHS_R 023 for each recreation vehicle If SHS_R 012 4 Sum SHS_R 014 SHS_R 023 for each recreation vehicle If SHS_R 012 3 Sum SHS_R 014 SHS_R 023 for each recreation vehicle If SHS_R 012 1 Sum SHS_R 014 SHS_R 023 for each recreation vehicle If SHS_R 012 2 Sum SHS_R 014 SHS_R 023 for each recreation vehicle If SHS_R 012 8 Sum SHS_R 014 SHS_R 023 for each recreation vehicle If SHS_R 012 5 Sum SHS_R 014 SHS_R 023 for each recreation vehicle If SHS_R 012 6 Sum SHS_R 014 SHS_R 023 f
109. or each recreation vehicle If SHS_R 012 7 Sum SHS_R 014 SHS_R 023 for each recreation vehicle If SHS_R 012 9 SHS_R 002 SHS_R 091 Sum SHS_R 016 100 PctOtherVehExpAgainstBus_R 022 100 for each recreation vehicle Sum SHS_R 015 100 PctOtherVehExpAgainstBus_R 022 100 for each recreation vehicle Sum SHS_R 017 100 PctOtherVehExpAgainstBus_R 022 100 for each recreation vehicle Sum SHS_R 018 100 PctOtherVehExpAgainstBus_R 022 100 for each recreation vehicle Sum SHS_R 019 100 PctOtherVehExpAgainstBus_R 022 100 for each recreation vehicle Sum SHS_R 020 100 PctOtherVehExpAgainstBus_R 022 100 for each recreation vehicle SHS_L 011 SHS_L 012 SHS_L 014 SHS_L 016 SHS_L 015 SHS_L 017 SHS_L 013 SHS_L 018 Statistics Canada 61 62M0004XCB SHS L 031 SHS L 032 SHS L 036 SHS L 033 SHS 5 016 SHS_S 019 SHS_S 017 SHS_S 018 SHS_L 034 SHS_L 035 SHS_S 021 SHS_S 022 SHS_S 023 SHS_S 024 SHS_S 025 SHS_S 020 SHS_S 026 SHS_R 100 SHS_S 027 Variable Name M102 Unit Type Dollar Description Recreation equipment and associated services SHS_S 001 SHS_S 011 SHS_S 009 SHS_S 008 SHS_S 007 SHS_L 019 SHS_L 020 SHS_L 022 SHS_L 023 SHS_S 003 SHS_S 004 SHS_S 005 SHS_S 006 SHS_S 012 SHS_S 002 SHS_S 013 SHS_S 015 SHS_S 014 Variable Name M103 Unit Type Dollar Description Sports and athletic equipment SHS S 001 Variable Name M106TOT Unit Type Dollar Descript
110. othing clothing gifts to non household members for women s and girls wear men s and boys wear and children s wear Statistics Canada 73 62M0004XCB Variable Name O403 Unit Type Dollar Description Gifts of money and support payments excluding alimony and child support to persons living inside Canada Sum SHS V 013for each Person If SHS_A 012 between 1 and 3 and SHS 003 lt 1987 Variable Name O404 Unit Type Dollar Description Gifts of money and support payments excluding alimony and child support to persons living outside Canada Sum SHS V 014 for each Person If SHS_A 012 between 1 and 3 and SHS 003 lt 1987 Variable Name 0406 Unit Type Dollar Description Contributions to religious organizations Sum SHS V 015for each Person If SHS_A 012 between 1 and 3 and SHS_A 003 lt 1987 Variable Name 0407 Unit Type Dollar Description Contributions to non religious charitable organizations Sum SHS V 016 for each Person If SHS_A 012 between 1 and 3 and SHS_A 003 lt 1987 Variable Name TOTCUCON Unit Type Dollar Description Total current consumption Total expenses excluding personal taxes personal insurance payments and gifts and contributions Note Expenses incurred during the survey year for food shelter household operations household furnishings and equipment clothing transportation health care personal care recreation reading materials education tobacc
111. pplication of standard packages more significant If the weights of the records contained in the file are converted so that the mean weight is 1 the results produced by standard packages will be more reasonable and will take into account uneven selection probabilities although they still cannot take into account the stratification and the cluster distribution of the sample The conversion can be done using in the analysis a weight equal to the original weight divided by the mean of original weights for sampling units households that contribute to the estimator in question However because this method still does not take into account sample design stratification and clusters the estimates of the variance calculated in this way will very likely be underestimates of true values 4 3 6 Guidelines for Release Before releasing and or publishing estimates taken from the microdata file users must first determine the level of reliability of the estimates The quality of the data is affected by the sampling error and the non sampling error as described above However the level of reliability of estimates is determined solely on the basis of sampling error as evaluated using the coefficient of variation CV as shown in the table below In addition to calculating CVs users should also read the section of this document regarding the characteristics of data quality Whatever CV is obtained for an estimate from this microdata file users should determine
112. questions respondents may have given more precise information and the increase in the estimate for Personal care preparations may have been at least partly caused by an improvement in respondent recall The effect of additional questions on estimates is difficult to quantify 4 3 Guidelines for Tabulation Analysis and Dissemination This section describes the guidelines that users should follow when totalling analysing publishing or releasing data taken from the public use microdata file 4 3 1 Important Note to Users about Full and Part year Households In 1997 the Survey of Family Expenditure FAMEX and the Household Facilities and Equipment Survey HFE were replaced by the Survey of Household Spending SHS FAMEX microdata files included full year households only as only such households could give a clear picture of income and expenditures over an entire year HFE microdata on the other hand included all households since data were collected as of December 31 To meet user needs all households are listed on the SHS file along with a variable indicating each household s status full year part year To create statistics for average annual expenditures users should use records for full year households To tabulate dwelling characteristics household equipment or create other types of expenditure statistics such as totals aggregates or market share users should use records for full year and part year households 4 3 2 Guidel
113. r 4 2 218 711 878 3 85 615 196 964 3 77 1 603 514 914 5 52 4 3 6 2 How to obtain confidence limits Statistics Canada 95 62M0004XCB Although coefficients of variation are widely used a more intuitively meaningful measure of sampling error is the confidence interval of an estimate A confidence interval constitutes a statement on the level of confidence that the true value for the population lies within a specified range of values For example a 9596 confidence interval can be described as follows If sampling of a population is repeated many times each sample leading to a new confidence interval for an estimate then in 9596 of the samples the interval will cover the true population value Using the CV of an estimate its confidence intervals may be obtained assuming that under repeated sampling of the population the various estimates obtained for a characteristic are normally distributed around the true population value Using this assumption the chances are about 68 out of 100 that the difference between a sample estimate and the true population value would be less than one standard error about 95 out of 100 that the difference would be less than two standard errors and about 99 out 100 that the differences would be less than three standard errors These different degrees of confidence are referred to as the confidence levels Confidence intervals for an estimate EST are generally expressed as t
114. r is designed to cool the air in the entire building and may be located either inside or outside this dwelling unit e g in the basement of an apartment block A window type air conditioner is installed in a window or through a wall to cool the air in a room Variable Name NMPHONP Unit Type Count Description Number of telephones 0 If SHS C004 0 1 If SHS_C004 1 If SHS_C004 2 If SHS_C004 3 If SHS_C004 4 If SHS_C004 5 6 If SHS_C004 6 OR gt 6 2 3 4 5 Code Description 0 None 1 1 2 2 3 3 4 4 5 5 6 6 or more Note Telephones used for business are included if the business is conducted in the dwelling Cordless phones are included Cellular telephones are excluded Variable Name NMPHNUMP Unit Type Count Statistics Canada 37 62M0004XCB Description Number of telephone numbers 0 If SHS C006 0 1 If SHS C006 1 2 If SHS C006 2 3 If SHS C006 3 OR gt 3 Code Description 0 None 1 1 2 2 3 3 or more Variable Name CELLPHON Unit Type Code Description Cellular telephone 0 If SHS C 007 No 1 If SHS_C 007 Yes Code Description 0 No 1 Yes Note Cordless phones are excluded Variable Name CDPLYER Unit Type Code Description Compact disc player 0 If SHS_C 016 No 1 If SHS_C 016 Yes Code Description 0 No 1 Yes Note A compact disc player may be a separate unit part of a component or built in as in a receiver cassett
115. r the 1997 SHS contains the results of the evaluation of the performance of the CV approximation method Statistics Canada 88 62M0004XCB How to obtain approximate CVs The following rules should enable the user to determine the approximate coefficients of variation for estimates of totals means or proportions ratios and differences between such estimates for sub populations domains for which the Jackknife CV is not provided in the CV tables Important If the number of observations on which an estimate is based is less than 30 the weighted estimate should not be released regardless of the value of the CV for this estimate Rule 1 Approximating CVs for estimates of totals aggregates All the steps below must be followed to obtain an approximate CV ACV for an estimate of a total either a number of households possessing a certain characteristic categorical estimate or a total of some expense for all households quantitative estimate for a sub population domain of interest 1 Create a binary variable for each household say I equalling 1 if the household is part of the domain of interest i e possesses the desired characteristic and 0 otherwise 2 To estimate a quantitative variable create a variable Y representing the product of the binary variable and the variable of interest To estimate a categorical variable create a variable Z equal to 1 if the categorical variable is equal to the value of interest and equal to
116. rror Sampling errors occur because inferences about the entire population are based on information obtained from only a sample of the population The sample design the variability of the data and the sample size determine the size of the sampling error In addition for a given sample design different methods of estimation will result in different sampling errors Statistics Canada 80 62M0004XCB The design for the 2001 Survey of Household Spending was a stratified multi stage sampling scheme The sampling errors for multi stage sampling are usually higher than for a simple random sample of the same size However the operational advantages outweigh this disadvantage and the fact that the sample is also stratified improves the precision of estimates Data variability is the difference between members of the population with respect to spending on a specific item or the presence of a specific dwelling characteristic or piece of household equipment In general the greater these differences are the larger the sampling error will be In addition the larger the sample size the smaller the sampling error 4 2 1 1 Standard Error and Coefficient of Variation A common measure of sampling error is the standard error SE Standard error is the degree of variation in the estimates as a result of selecting one particular sample rather than another of the same size and design It has been shown that the true value of the characteristic of interest
117. salaries net income from self employment and gross income from roomers and boarders Variable Name SPINCINV Unit Type Dollar Description Income of spouse from investment Sum SHS U 008 for Spouse of Reference Person If SHS_A 012 between 1 and 3 Note Includes income for spouse of reference person from dividends interest and other investment income such as net rental income or interest received from loans or mortgages Variable Name SPINCTRA Unit Type Dollar Description Income of spouse from government transfer payments Sum SHS U 009 for Spouse of Reference Person If SHS_A 012 between 1 and 3 Sum SHS U 010 for Spouse of Reference Person If SHS_A 012 between 1 and 3 Sum SHS U 011 for Spouse of Reference Person If SHS_A 012 between 1 and 3 Sum SHS U 012 for Spouse of Reference Person If SHS_A 012 between 1 and 3 Sum SHS U 013 for Spouse of Reference Person If SHS_A 012 between 1 and 3 Sum SHS U 014 for Spouse of Reference Person If SHS_A 012 between 1 and 3 Sum SHS U 015 for Spouse of Reference Person If SHS_A 012 between 1 and 3 Note Includes income for spouse of reference person from Child Tax Benefits Old Age Security Pension Guaranteed Income Supplement Spouse s Allowance Canada Pension Plan Benefits or Quebec Pension Plan Benefits Employment Insurance Benefits Goods and Services Tax Credit Provincial Tax Credits Social Assistance Provincial Income Supplements Workers Compensation
118. scription medicines L106 Dollar Statistics Canada 58 62M0004XCB Description SHS P 031 Variable Name Unit Type Description SHS P 026 Variable Name Unit Type Description SHS P 021 SHS P 022 SHS P 023 SHS P 024 Variable Name Unit Type Description SHS P 025 Variable Name Unit Type Description SHS P 028 Variable Name Unit Type Description SHS P 027 Variable Name Unit Type Description SHS P 029 Variable Name Unit Type Description SHS P 010 SHS P 011 SHS P 012 SHS P 013 Variable Name Unit Type Other non prescription medicines and pharmaceutical products L107 Dollar Physicians care L108 Dollar Eye care goods and services L112 Dollar Dental services L114 Dollar Hospital care L116 Dollar Health care practitioners other than physicians L117 Dollar Other medical services e g ambulances nursing homes L118 Dollar Health insurance premiums L119 Dollar Statistics Canada 59 62M0004XCB Description Public hospital medical and drug plans SHS P 010 Variable Name L120 Unit Type Dollar Description Private health insurance plans SHS P 011 SHS P 012 SHS P 013 3 14 Expenditure Personal Care Variable Name L201 Unit Type Dollar Description Total personal care SHS P 003 SHS P 004 SHS P 005 SHS P 006 SHS P 007 Sum SHS 0O 103 for each Pers
119. t 1987 Sum SHS V 010 for each Person If SHS_A 012 between 1 and 3 and SHS 003 lt 1987 Note Payments for life insurance annuities employment insurance public and private pension plans and similar items For certain uses of the data some of these items might be regarded as savings although the relationship between the expenditure and any increase in savings may not be easily determined This category of expenditure was called Security prior to the 1996 survey Registered Retirement Savings Plan contributions are included in Money flows assets loans and other debts Variable Name O302TOT Unit Type Dollar Statistics Canada 72 62M0004XCB Description Life insurance premiums annuity contracts and transfers to RRIFs Sum SHS V 005 for each Person If SHS_A 012 between 1 and 3 and SHS 003 lt 1987 Sum SHS V 006 for each Person If SHS_A 012 between 1 and 3 and SHS 003 lt 1987 Variable Name 0304 Unit Type Dollar Description Employment insurance premiums Sum SHS V 007 for each Person If SHS_A 012 between 1 and 3 and SHS_A 003 lt 1987 Variable Name 0305 Unit Type Dollar Description Retirement and pension fund payments Sum SHS V 009 for each Person If SHS_A 012 between 1 and 3 and SHS_A 003 lt 1987 Sum SHS V 0068 for each Person If SHS_A 012 between 1 and 3 and SHS_A 003 lt 1987 Sum SHS_V 010 for each Person If SHS_A 012 between 1 and 3 and SHS_A 003 lt 1987
120. t income Statistics Canada 31 62M0004XCB U 005 U 006 U 007 and total investment income U 008 and total government transfer payments U 009 U 010 U 011 U 012 U 013 U 014 U 015 and other income U 016 U 018 OR Major source is self employment income Total self employment income U 005 U 006 U 007 not 0 and gt total wages and salaries U 004 and total investment income U 008 and total government transfer payments U 009 U 010 U 011 U 012 U 013 U 014 U 015 and other income U 016 U 018 2 Major source is investment income Total investment income U 008 not 0 and gt total wages and salaries U 004 and total self employment income U 005 U 006 U 007 and total government transfer payments U 009 U 010 U 011 U 012 U 013 U 014 U 015 and other income U 016 U 018 3 Major source is government transfer payments Total government transfer payments U 009 U 010 U 011 U 012 U 013 U 014 U 015 not 0 and gt total wages and salaries U 004 and total self employment income U 005 U 006 U 007 and total investment income U 008 and other income U 016 U 018 4 Major source is other income Other income U 016 U 018 not 0 and gt total wages and salaries U 004 and total self employment income U 005 U 006 U 007 and total investment income U 008 and total government transfer payments U 009 U 010 U 011 U 012 U 013 U 014 U 015 Code Description All sources 0 Major source is wages and salaries or self emplo
121. t services SHS M 004 Variable Name H010 Unit Type Dollar Description Postal and other communication services e g fax services parcel Statistics Canada 47 62M0004XCB SHS M 006 Variable Name Unit Type Description SHS M 007 SHS M 008 SHS M 009 Variable Name Unit Type Description SHS M 010 Variable Name Unit Type Description SHS M 015 SHS M 016 SHS M 017 SHS M 018 Variable Name Unit Type Description SHS M 021 Variable Name Unit Type Description SHS M 022 SHS M 023 SHS M 024 Variable Name Unit Type Description SHS M 012 SHS M 013 SHS M 014 SHS M 011 delivery H011 Dollar Child care expenses H016 Dollar Domestic and other custodial services excluding child care H017 Dollar Pet expenses H022 Dollar Household cleaning supplies H023 Dollar Paper plastic and foil household supplies e g stationery supplies paper towels foil and plastic wraps H026 Dollar Garden supplies and services Statistics Canada 48 62M0004XCB 3 10 Expenditure Household Furnishings and Equipment Variable Name 1001 Unit Type Dollar Description Total household furnishings and equipment SHS L 001 SHS L 004 SHS L 005 SHS L 006 SHS L 007 SHS L 002 SHS L 049 SHS L 041 SHS L 042 SHS L 043 SHS L 048 SHS L 061 SHS L 044 SHS L 045 SHS L 047 SHS L 046 SHS L 063 SHS L 050 SHS L 084 SHS L 085 SHS L 081 SHS L 08
122. ta Quality e te er ed deed e Ea dae 80 4 2 1 Sampling Error ecuador eee etr rhe rn dedere dea uU TAa Re deen 80 4 2 2 Non Sampling enm een menn 81 4 2 3 The Effect of Large Values sssssssee eene eene 83 4 2 4 Comparability Over enne 83 4 3 Guidelines for Tabulation Analysis and 84 4 3 1 Important Note to Users about Full and Part year Households 84 4 3 2 Guidelines for Rounding seem emen 84 4 3 3 Guidelines for the Weighting of the Sample for Totalling Purposes 85 4 3 4 Types of Estimates Categorical Versus Quantitative 85 4 3 5 Guidelines for Statistical Analysis 87 4 3 6 Guidelines for Release sss eene 87 4 4 Confidentiality of the Public use Microdata sssem 97 APPENDICES SEE EXCEL nennen nnn nnn 98 APPENDIX A Frequency Counts Public use Microdata File SHS 2001 98 APPENDIX B Part 1 of 3 Averages Aggregates Minimum and Maximum Values Public use Microdata File SHS 2001 Full year and Part year Households sse enne 98 Part 2 of 3 Averages Aggregates
123. the 2 together allows us to eliminate or reduce the number of records with complicated tenure histories CMHC would prefer to use records with uncomplicated histories since they are interested in the cost of the dwelling units and not the expenditure of household members on rent A complicated tenure history is usually due to the presence of a part year member with a different previous tenure from the reference year Statistics Canada 62M0004XCB 4 TECHNICAL INFORMATION 4 1 Survey Methodology For more detailed information see the Methodology of the Survey of Household Spending available free on the Statistics Canada web site at www statcan ca 4 1 1 The Survey Universe The 2001 Survey of Household Spending was carried out in private households in Canada s ten provinces and three territories The following groups were excluded from the survey those living on Indian reserves and crown lands official representatives of foreign countries living in Canada and their families members of religious and other communal colonies members of the Canadian Armed Forces living in Military Camps people living in residences for senior citizens people living full time in institutions for example inmates of penal institutions and chronic care patients living in hospitals and nursing homes The survey covers about 98 of the population in the ten provinces In the Territories coverage was restricted to 88 in the Yukon 92 in the Nort
124. the k household m is the household size for the household and is the value of the variable Y defined in step 2 above for the k household As you can see index p the province indicator takes values ranging from 1 to 12 Twelve distinct province codes appear on the microdata file one for each of the ten provinces one for the Territories and a 00 province code assigned to a set Statistics Canada 89 62M0004XCB of records for reasons of confidentiality See To Protect Confidentiality Section 4 4 Note Two household size variables appear in the microdata file To calculate approximate CVs the variable used to define household size is Household size at December 31 rather than Household size number of persons a member sometime in reference year Important When estimating variance for a given domain do not limit yourself to units belonging to the domain The entire sample should always be used to estimate variance Units that do not belong to the domain of interest are not considered when computing the point estimate of the total but do contribute when estimating the variance Rule 2 Approximating CV for estimates of averages or proportions An estimated mean or proportion is obtained by the ratio of two estimated totals For a proportion the numerator is an estimate that is a sub set of the denominator for example the proportion of expenditures for households in Manitoba compared to all Canadian househol
125. ubway street car commuter train and taxi Variable Name K034TOT Unit Type Dollar Description Inter city transportation SHS R 094 SHS R 095 SHS R 096 Note Includes airplane train and highway bus Variable Name K037 Unit Type Dollar Description Other passenger transportation e g carpooling airport bus or limousine service ferry service sightseeing tours and travel insurance SHS R 097 ariable Name K038 Unit Type Dollar Description Household moving storage and delivery services SHS R 098 3 13 Expenditure Health Care Variable Name L101 Unit Type Dollar Description Total health care SHS P 032 Statistics Canada 57 62M0004XCB SHS P 030 SHS P 031 SHS P 026 SHS P 021 SHS P 022 SHS P 023 SHS P 024 SHS P 025 SHS P 028 SHS P 027 SHS P 029 SHS P 010 SHS P 011 SHS P 012 SHS P 013 Variable Name Unit Type Description SHS P 032 SHS P 030 SHS P 031 SHS P 026 SHS P 021 SHS P 022 SHS P 023 SHS P 024 SHS P 025 SHS P 028 SHS P 027 SHS P 029 Variable Name Unit Type Description SHS P 032 Variable Name Unit Type Description SHS P 030 SHS P 031 Variable Name Unit Type Description SHS P 030 Variable Name Unit Type L102 Dollar Direct health care costs to household L103 Dollar Health care supplies e g first aid kits wheelchairs L104 Dollar Medicinal and pharmaceutical products L105 Dollar Pre
126. uipment 1046 CLOTHING 142 11 2 835 845 n Clothing J001 143 11 2 846 856 n Women s and girls wear 4 years and over J002 144 11 2 857 867 n Clothing gifts to non household members J007 145 11 2 868 878 n Men s and boys wear 4 years and over J008 146 11 2 879 889 n Clothing gifts to non household members J013 147 11 2 890 900 n Children s wear under 4 years J014 148 11 2 901 911 n Clothing gifts to non household members J017 149 11 2 912 922 n Clothing material and notions JO19TOT 150 11 2 923 933 n Services J021 151 11 2 934 944 n Laundry and dry cleaning JO23TOT TRANSPORTATION 152 11 2 945 955 n Transportation K001 153 11 2 956 966 n Private transportation K002 154 11 2 967 977 n Purchase of automobiles and trucks K003 155 11 2 978 988 n _ of automotive accessories K007 156 11 2 989 999 n Rented and leased automobiles and trucks K008 157 11 2 1000 1010 n Operation of owned and leased automobiles and trucks K019 158 11 2 1011 1021 n Gasoline and other fuels K020 159 11 2 1022 1032 n Maintenance and repair K022 160 11 2 1033 1043 n Garage rent and parking K023 161 11 2 1044 1054 n Private and public vehicle insurance premiums K028 162 11 2 1055 1065 n Public transportation K031 163 11 2 1066 1076 n Local and commuter transportation K032TOT 164 11 2 1077 1087 n Inter city transportation K034TOT 165 11 2 108
127. ure Survey and the Household Facilities and Equipment Survey Many data from these two surveys are comparable to the Survey of Household Spending data However some differences related to methodology to data quality and to definitions must be considered before comparing these data See Section 1 1 4 For further information 1 1 2 New for 2001 For 2001 only extra questions were included in the survey so that data from the SHS could be used in the weighting of the Consumer Price Index This change may affect historical comparisons for a few variables See the section 4 2 4 Comparability Over Time There were also new questions added to the 2001 SHS The expenditure questions covered yarn and thread regular and other leasing fees for vehicles and cable and satellite services Questions were also added about the presence in the home of a satellite dish DVD player or CD writer and the type of Internet connection 1 1 3 Layout of the document This document is laid out in the following manner e Record Layout e Data Dictionary variable specifications code sets and other information e Technical Information survey methodology data quality and guidelines for tabulation analysis and dissemination Appendices are available in Excel format See file SHS2001EDM Appendices Annexes e Appendix A presents the frequency counts for non dollar variables the public use microdata file They are included to help you verify your tabul
128. wo numbers one below the estimate and one above the estimate as EST k EST where k is determined depending on the level of confidence desired and the sampling error of the estimate Confidence intervals for an estimate can be calculated by first determining the ACV of the estimate and then using the following formula to convert to a confidence interval EST z x EST x ACV 100 EST z x EST x ACV 100 where if a 6896 confidence interval is desired 6 if a 9096 confidence interval is desired if a 9596 confidence interval is desired if a 9996 confidence interval is desired NNNN HW n n M WON A Note Release guidelines which apply to the estimate also apply to the confidence interval For example if the estimate is not releasable then the confidence interval is not releasable either Example 4 A 95 confidence interval for the estimated mean of spending on household furnishings and equipment for one person households in Manitoba would be calculated as follows EST 718 16 2 2 ACV 12 11 Cl 718 16 2 x718 16 x 12 11 100 718 16 2x 718 16 x 12 11 100 544 22 892 10 4 3 6 3 How to do a Z test Coefficients of variation may also be used to perform hypothesis testing a procedure for distinguishing between population parameters using sample estimates The sample estimates can be totals averages ratios etc Tests may be performed at various levels of Statistics Canada 96 62M0004XCB
129. yment income Major source is investment income Major source is government transfer payments Major source is other sources RWONM O Variable Name HHINCTOT Unit Type Dollar Description Household income before taxes SHS U 004 to SHS_U 018 EXCLUDING personal income tax refunds SHS 0 017 Sum SHS U 004 for each Person If SHS_A 012 between 1 and 3 Sum SHS U 005 for each Person If SHS_A 012 between 1 and 3 Sum SHS U 006 for each Person If SHS_A 012 between 1 and 3 Sum SHS U 007 for each Person If SHS A 012 between 1 and 3 Sum SHS U 008 for each Person If SHS A 012 between 1 and 3 Sum SHS U 009 for each Person If SHS_A 012 between 1 and 3 Sum SHS U 010 for each Person If SHS A 012 between 1 and 3 Sum SHS U 011 for each Person If SHS A 012 between 1 and 3 Sum SHS U 012 for each Person If SHS A 012 between 1 and 3 Sum SHS U 013 for each Person If SHS A 012 between 1 and 3 Sum SHS U 014 for each Person If SHS A 012 between 1 and 3 Sum SHS U 015 for each Person If SHS A 012 between 1 and 3 Sum SHS U 016 for each Person If SHS A 012 between 1 and 3 Sum SHS U 018 for each Person If SHS A 012 between 1 and 3 and SHS_A 003 lt 1987 and SHS A 003 lt 1987 and SHS A 003 lt 1987 and SHS A 003 lt 1987 and SHS_A 003 lt 1987 and SHS_A 003 lt 1987 and SHS_A 003 lt 1987 and SHS_A 003 lt 1987 and SHS_A 003 lt 1987 and SHS A 003 lt 1987 and SHS_A 003 lt 1987 and SHS_A 003 lt 1987 and S

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