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ZAF_2008_NIDS-W1_V08_M
National Income Dynamics Study 2008
South Africa
,
2008
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Reference ID
ZAF_2008_NIDS-W1_v08_M
Producer(s)
Southern Africa Labour and Development Research Unit
Metadata
DDI/XML
JSON
Study website
Created on
Dec 20, 2012
Last modified
Mar 29, 2019
Page views
78337
Downloads
18013
Study Description
Data Dictionary
Downloads
Get Microdata
Related Publications
Data files
Admin_W1_Anon_V6.1
Adult_W1_Anon_V6.1
Child_W1_Anon_V6.1
hhderived_W1_Anon_V6.1
HHQuestionnaire_W1_Anon_V6.1
HouseholdRoster_W1_Anon_V6.1
indderived_W1_Anon_V6.1
Proxy_W1_Anon_V6.1
Data file: HHQuestionnaire_W1_Anon_V6.1
Cases:
7296
Variables:
840
Variables
w1_hhid
Household identifier
w1_h_respondent
a4 - Pid of person who answered HHQ
w1_h_phase
- - Phase in Wave
w1_h_preflng
a15 - Preferred Language
w1_h_intvr_c
Interviewer code
w1_h_intvr_imp
Interviewer code imputed
w1_h_intrv_d
a17_1 - Date of interview (day)
w1_h_intrv_m
a17_m - Date of interview (month)
w1_h_intrv_y
a17_y - Date of interview (year)
w1_h_intrvsrt
a18 - Interview start time
w1_h_mrt24mnth
c1 - Death of a household member?
w1_h_mrtgen1
c3_1 - Deceased's gender - 1
w1_h_mrtr1
c4_1 - Relationship of deceased to household head - 1
w1_h_mrtdod_m1
c5_1 - Month of death - 1
w1_h_mrtdod_y1
c5_1 - Year of death - 1
w1_h_mrtage1
c6_1 - Age in years when died - 1
w1_h_mrtacc1
c7_1 - Was deceased death result of accident or violence? - 1
w1_h_mrtgen2
c3_2 - Deceased's gender - 2
w1_h_mrtr2
c4_2 - Relationship of deceased to household head - 2
w1_h_mrtdod_m2
c5_2 - Month of death - 2
w1_h_mrtdod_y2
c5_2 - Year of death - 2
w1_h_mrtage2
c6_2 - Age in years when died - 2
w1_h_mrtacc2
c7_2 - Was deceased death result of accident or violence? - 2
w1_h_mrtgen3
c3_3 - Deceased's gender - 3
w1_h_mrtr3
c4_3 - Relationship of deceased to household head - 3
w1_h_mrtdod_m3
c5_3 - Month of death - 3
w1_h_mrtdod_y3
c5_3 - Year of death - 3
w1_h_mrtage3
c6_3 - Age in years when died - 3
w1_h_mrtacc3
c7_3 - Was deceased death result of accident or violence? - 3
w1_h_mrtgen4
c3_4 - Deceased's gender - 4
w1_h_mrtr4
c4_4 - Relationship of deceased to household head - 4
w1_h_mrtdod_m4
c5_4 - Month of death - 4
w1_h_mrtdod_y4
c5_4 - Year of death - 4
w1_h_mrtage4
c6_4 - Age in years when died - 4
w1_h_mrtacc4
c7_4 - Was deceased death result of accident or violence? - 4
w1_h_mrtgen5
c3_5 - Deceased's gender - 5
w1_h_mrtr5
c4_5 - Relationship of deceased to household head - 5
w1_h_mrtdod_m5
c5_6 - Month of death - 5
w1_h_mrtdod_y5
c5_6 - Year of death - 5
w1_h_mrtage5
c6_5 - Age in years when died - 5
w1_h_mrtacc5
c7_5 - Was deceased death result of accident or violence? - 5
w1_h_dwltyp
d1 - Type of dwelling
w1_h_dwlrms
d2 - Number of rooms in household
w1_h_dwlmatroof
d3_1 - Main material used for roof
w1_h_dwlmatrwll
d3_2 - Main material used for walls
w1_h_ownd
d4 - Household member owns the dwelling?
w1_h_ownpid1
d5_1 - Who is the person who owns this dwelling? 1
w1_h_ownpid2
d5_2 - Who is the person who owns this dwelling? 2
w1_h_ownpid3
d5_3 - Who is the person who owns this dwelling? 3
w1_h_ownpaid
d6 - Property is paid off?
w1_h_ownowd
d7 - Amount of bond still owing
w1_h_ownmn
d8 - Monthly bond payment
w1_h_ownrnt
d9 - Amount of rent that could be collected on dwelling
w1_h_rnt
d10 - The household pays rent?
w1_h_rntpay
d11 - Amount paid for rent on dwelling
w1_h_rntpot
d12 - Amount of rent willing to pay
w1_h_mrkv
d13 - Reasonable market value for property
w1_h_sub
d14 - Household was a recipient of government housing subsidy
w1_h_sub_v
d15 - Amount of subsidy received
w1_h_lndgrn
d16 - Household was a recipient of government land grant?
w1_h_lndrst
d17 - Household received land via the land restitution process?
w1_h_watsrc
d18 - Household's main water source
w1_h_watdis
d19 - Distance of water source from dwelling
w1_h_toi
d20 - Type of toilet facility available to household
w1_h_toishr
d21 - Household's toilet facility is shared with other households
w1_h_enrgelec
d22 - Household has electricity?
w1_h_enrgck
d23_1 - Household's main source of energy/fuel for cooking
w1_h_enrght
d23_2 - Household's main source of energy/fuel for heating
w1_h_enrglght
d23_3 - Household's main source of energy/fuel for lighting
w1_h_tellnd
d24 - Household has a landline telephone in the dwelling?
w1_h_telcel
d25 - Household has a cellphone available for regular use?
w1_h_transtrain
d26_1 - Time taken to nearest train by foot
w1_h_transbus
d26_2 - Time taken to reach nearest bus by foot
w1_h_transmini
d26_3 - Time taken to reach nearest minibus taxi by foot
w1_h_refrem
d27 - Refuse/Rubbish is removed weekly by local authorities?
w1_h_strlght
d28 - Existence of street lighting near dwelling?
w1_h_hngradlt
d29 - In the past year did an adult go hungry
w1_h_hngrchld
d30 - In the past year did a child go hungry
w1_h_expnd
d31 - Household expenditiure in last 30 days
w1_h_food
d32_1 - Food consumption in relation to household's needs
w1_h_hou
d32_2 - Housing in relation to household's needs
w1_h_clth
d32_3 - Clothing in relation to household's needs
w1_h_hlth
d32_4 - Healthcare cover in relation to household's needs
w1_h_sch
d32_5 - Schooling of children in relation to household's needs
w1_h_nbhlp
d33_1 - Neighbours help each other out
w1_h_nbtog
d33_2 - Neighbours do things together
w1_h_nbagg
d33_3 - Neighbours are aggressive
w1_h_nbthf
d33_4 - Theft and burglary in the neighbourhood
w1_h_empl
d34 - Received income from employment/self-employment?
w1_h_rent
d35 - Received rental income?
w1_h_grn
d36 - Received government grant?
w1_h_prvpen
d37 - Received income from private pension, dividends or interest?
w1_h_tinc
d38 - Total household's monthly income after tax
w1_h_tinc_show
d39 - Total household's monthly income after tax: Showcard
w1_h_fdtot
e1_1 - Total household food expenditure in last 30 days
w1_h_fdmm
e1_2_1 - Mealie meal was consumed in last 30 days?
w1_h_fdmmspn
e1_3_1 - Amount spent on mealie meal in last 30 days
w1_h_fdmmgft
e1_4_1 - Value of mealie meal received as gifts in last 30 days
w1_h_fdmmpay
e1_5_1 - Value of mealie meal received as payment in last 30 days
w1_h_fdmmprdss
e1_6_1 - Value of mealie meal eaten own production/own shop in last 30days
w1_h_fdsmp
e1_2_2 - Samp was consumed in last 30 days?
w1_h_fdsmpspn
e1_3_2 - Amount spent on samp in last 30 days
w1_h_fdsmpgft
e1_4_2 - Value of samp received as gifts in last 30 days
w1_h_fdsmppay
e1_5_2 - Value of samp received as payment in last 30 days
w1_h_fdsmpprdss
e1_6_2 - Value of samp eaten from own production/own shop in last 30days
w1_h_fdflr
e1_2_3 - Flour and bread was consumed in last 30 days?
w1_h_fdflrspn
e1_3_3 - Amount spent on flour and bread in last 30 days
w1_h_fdflrgft
e1_4_3 - Value of flour and bread received as gifts in last 30 days
w1_h_fdflrpay
e1_5_3 - Value of flour and bread received as payment in last 30 days
w1_h_fdflrprdss
e1_6_3 - Value of flour & bread eaten own production/own shop in last 30days
w1_h_fdrice
e1_2_4 - Rice was consumed in last 30 days?
w1_h_fdricespn
e1_3_4 - Amount spent on rice in last 30 days
w1_h_fdricegft
e1_4_4 - Value of rice received as gifts in last 30 days
w1_h_fdricepay
e1_5_4 - Value of rice received as payment in last 30 days
w1_h_fdriceprdss
e1_6_4 - Value of rice eaten from own production and/or own shop in last 30days
w1_h_fdpas
e1_2_5 - Pasta was consumed in last 30 days?
w1_h_fdpasspn
e1_3_5 - Amount spent on pasta in last 30 days
w1_h_fdpasgft
e1_4_5 - Value of pasta received as gifts in last 30 days
w1_h_fdpaspay
e1_5_5 - Value of pasta received as payment in last 30 days
w1_h_fdpasprdss
e1_6_5 - Value of pasta eaten from own production/own shop in last 30days
w1_h_fdbis
e1_2_6 - Biscuits, cakes, rusks were consumed in last 30 days?
w1_h_fdbisspn
e1_3_6 - Amount spent on biscuits, cakes, rusks in last 30 days
w1_h_fdbisgft
e1_4_6 - Value of biscuits, cakes, rusks received as gifts in last 30 days
w1_h_fdbispay
e1_5_6 - Value of biscuits, cakes, rusks received as payment in last 30 days
w1_h_fdbisprdss
e1_6_6 - Value biscuits,cakes,rusks eaten own production/own shop in last 30days
w1_h_fdrm
e1_2_7 - Red meat was consumed in last 30 days?
w1_h_fdrmspn
e1_3_7 - Amount spent on red meat in last 30 days
w1_h_fdrmgft
e1_4_7 - Value of red meat received as gifts in last 30 days
w1_h_fdrmpay
e1_5_7 - Value of red meat received as payment in last 30 days
w1_h_fdrmprdss
e1_6_7 - Value of red meat eaten from own production/own shop in last 30days
w1_h_fdrmc
e1_2_8 - Canned red meat was consumed in last 30 days?
w1_h_fdrmcspn
e1_3_8 - Amount spent on canned red meat in last 30 days
w1_h_fdrmcgft
e1_4_8 - Value of canned red meat received as gifts in last 30 days
w1_h_fdrmcpay
e1_5_8 - Value of canned red meat received as payment in last 30 days
w1_h_fdrmcprdss
e1_6_8 - Value canned red meat eaten from own production/own shop in last 30days
w1_h_fdchi
e1_2_9 - Chicken was consumed in last 30 days?
w1_h_fdchispn
e1_3_9 - Amount spent on chicken in last 30 days
w1_h_fdchigft
e1_4_9 - Value of chicken received as gifts in last 30 days
w1_h_fdchipay
e1_5_9 - Value of chicken received as payment in last 30 days
w1_h_fdchiprdss
e1_6_9 - Value of chicken eaten from own production/own shop in last 30days
w1_h_fdfsh
e1_2_10 - Fresh fish and shell fish were consumed in last 30 days?
w1_h_fdfshspn
e1_3_10 - Amount spent on fresh fish and shell fish in last 30 days
w1_h_fdfshgft
e1_4_10 - Value of fresh fish and shellfish received as gifts in last 30 days
w1_h_fdfshpay
e1_5_10 - Value of fresh fish and shellfish received as payment in last 30 days
w1_h_fdfshprdss
e1_6_10 - Value of fish & shellfish eaten own production/own shop in last 30days
w1_h_fdfshc
e1_2_11 - Tinned fish was consumed in last 30 days?
w1_h_fdfshcspn
e1_3_11 - Amount spent on tinned fish in last 30 days
w1_h_fdfshcgft
e1_4_11 - Value of tinned fish received as gifts in last 30 days
w1_h_fdfshcpay
e1_5_11 - Value of tinned fish received as payment in last 30 days
w1_h_fdfshcprdss
e1_6_11 - Value of tinned fish eaten from own production/own shop in last 30days
w1_h_fdvegd
e1_2_12 - Dried pulses were consumed in last 30 days?
w1_h_fdvegdspn
e1_3_12 - Amount spent on dried pulses in last 30 days
w1_h_fdvegdgft
e1_4_12 - Value of dried pulses received as gifts in last 30 days
w1_h_fdvegdpay
e1_5_12 - Value of dried pulses received as payment in last 30 days
w1_h_fdvegdprdss
e1_6_12 - Value of dried pulses eaten own production/own shop in last 30days
w1_h_fdpot
e1_2_13 - Potatoes were consumed in last 30 days?
w1_h_fdpotspn
e1_3_13 - Amount spent on potatoes in last 30 days
w1_h_fdpotgft
e1_4_13 - Value of potatoes received as gifts in last 30 days
w1_h_fdpotpay
e1_5_13 - Value of Potatoes received as payment in last 30 days
w1_h_fdpotprdss
e1_6_13 - Value of potatoes eaten from own production / own shop in last 30 days
w1_h_fdvego
e1_2_14 - Other vegetables were consumed in last 30 days?
w1_h_fdvegospn
e1_3_14 - Amount spent on Other vegetables in last 30 days
w1_h_fdvegogft
e1_4_14 - Value of Other vegetables received as gifts in last 30 days
w1_h_fdvegopay
e1_5_14 - Value of Other vegetables received as payment in last 30 days
w1_h_fdvegoprdss
e1_6_14 - Value Other vegetables eaten own production/own shop in last 30 days
w1_h_fdfru
e1_2_15 - Fruits and nuts were consumed in last 30 days?
w1_h_fdfruspn
e1_3_15 - Amount spent on fruits and nuts in last 30 days
w1_h_fdfrugft
e1_4_15 - Value of fruits and nuts received as gifts in last 30 days
w1_h_fdfrupay
e1_5_15 - Value of fruits & Nuts received as payment in last 30 days
w1_h_fdfruprdss
e1_6_15 - Value fruits & Nuts eaten own production/own shop in last 30 days
w1_h_fdoil
e1_2_16 - Cooking oil was consumed in last 30 days?
w1_h_fdoilspn
e1_3_16 - Amount spent on cooking oil in last 30 days
w1_h_fdoilgft
e1_4_16 - Value of cooking oil received as gifts in last 30 days
w1_h_fdoilpay
e1_5_16 - Value of cooking oil received as payment in last 30 days
w1_h_fdoilprdss
e1_6_16 - Value cooking oil eaten own production/own shop in last 30 days
w1_h_fdmar
e1_2_17 - Other fats were consumed in last 30 days?
w1_h_fdmarspn
e1_3_17 - Amount spent on other fats in last 30 days
w1_h_fdmargft
e1_4_17 - Value of other fats received as gifts in last 30 days
w1_h_fdmarpay
e1_5_17 - Value of other fats received as payment in last 30 days
w1_h_fdmarprdss
e1_6_17 - Value marg, butter, fats eaten own production/own shop in last 30 days
w1_h_fdpb
e1_2_18 - Peanut butter was consumed in last 30 days?
w1_h_fdpbspn
e1_3_18 - Amount spent on peanut butter in last 30 days
w1_h_fdpbgft
e1_4_18 - Value of peanut butter received as gifts in last 30 days
w1_h_fdpbpay
e1_5_18 - Value of peanut butter received as payment in last 30 days
w1_h_fdpbprdss
e1_6_18 - Value of peanut butter eaten own production/own shop in last 30 days
w1_h_fdmlk
e1_2_19 - Dairy products were consumed in last 30 days?
w1_h_fdmlkspn
e1_3_19 - Amount spent on dairy products in last 30 days
w1_h_fdmlkgft
e1_4_19 - Value of dairy products received as gifts in last 30 days
w1_h_fdmlkpay
e1_5_19 - Value of dairy products received as payment in last 30 days
w1_h_fdmlkprdss
e1_6_19 - Value dairy products from own production/own shop in last 30days
w1_h_fdegg
e1_2_20 - Eggs were consumed in last 30 days?
w1_h_fdeggspn
e1_3_20 - Amount spent on eggs in last 30 days
w1_h_fdegggft
e1_4_20 - Value of eggs received as gifts in last 30 days
w1_h_fdeggpay
e1_5_20 - Value of eggs received as payment in last 30 days
w1_h_fdeggprdss
e1_6_20 - Value of eggs eaten from own production/own shop in last 30days
w1_h_fdsug
e1_2_21 - Sweets etc. were consumed in last 30 days
w1_h_fdsugspn
e1_3_21 - Amount spent on sweets etc. in last 30 days?
w1_h_fdsuggft
e1_4_21 - Value of sweets etc. received gifts last 30 days
w1_h_fdsugpay
e1_5_21 - Value of sweets etc. received paymnt last 30 days
w1_h_fdsugprdss
e1_6_21 - Value of sweets etc. eaten own production/own shop in last 30days
w1_h_fdsd
e1_2_22 - Soft drinks and juices were consumed in last 30 days?
w1_h_fdsdspn
e1_3_22 - Amount spent on soft drinks and juices in last 30 days
w1_h_fdsdgft
e1_4_22 - Value of soft drinks and juices received as gifts in last 30 days
w1_h_fdsdpay
e1_5_22 - Value of soft drinks and juices received as payment in last 30 days
w1_h_fdsdprdss
e1_6_22 - Value soft drinks & juices eaten own production/own shop in last 30day
w1_h_fdfrut
e1_2_23 - Tinned fruit were consumed in last 30 days?
w1_h_fdfrutspn
e1_3_23 - Amount spent on tinned fruit in last 30 days
w1_h_fdfrutgft
e1_4_23 - Value of tinned fruit received as gifts in last 30 days
w1_h_fdfrutpay
e1_5_23 - Value of tinned fruit received as payment in last 30 days
w1_h_fdfrutprdss
e1_6_23 - Value of tinned fruit eaten own productionown shop in last 30days
w1_h_fdcer
e1_2_24 - Cereal and porridge was consumed in last 30 days
w1_h_fdcerspn
e1_3_24 - Amount spent on cereal and porridge in last 30 days
w1_h_fdcergft
e1_4_24 - Value of cereal & porridge received as gifts in last 30days
w1_h_fdcerpay
e1_5_24 - Value of cereal & porridge received as payment last 30days
w1_h_fdcerprdss
e1_6_24 - Value cereal & porridge from own production/own shop in last 30days
w1_h_fdbaby
e1_2_25 - Baby food and formula was consumed in last 30 days?
w1_h_fdbabyspn
e1_3_25 - Amount spent on baby food and formula in last 30 days
w1_h_fdbabygft
e1_4_25 - Value of baby food and formula received as gifts in last 30 days
w1_h_fdbabypay
e1_5_25 - Value of baby food and formula received as payment in last 30 days
w1_h_fdbabyprdss
e1_6_25 - Value baby fd & formula eaten from own production/own shop last 30days
w1_h_fdslt
e1_2_26 - Salt and spices were consumed in last 30 days?
w1_h_fdsltspn
e1_3_26 - Amount spent on salt and spices in last 30 days
w1_h_fdsltgft
e1_4_26 - Value of salt and spices received as gifts in last 30 days
w1_h_fdsltpay
e1_5_26 - Value of salt and spices received as payment in last 30 days
w1_h_fdsltprdss
e1_6_26 - Value salt and spices eaten from own production/own shop last 30days
w1_h_fdsoy
e1_2_27 - Soya products were consumed in last 30 days?
w1_h_fdsoyspn
e1_3_27 - Amount spent on soya products in last 30 days
w1_h_fdsoygft
e1_4_27 - Value of soya products received as gifts in last 30 days
w1_h_fdsoypay
e1_5_27 - Value of soya products received as payment in last 30 days
w1_h_fdsoyprdss
e1_6_27 - Value soya products eaten from own production/own shop in last 30days
w1_h_fdcof
e1_2_28 - Coffee and tea were consumed in last 30 days?
w1_h_fdcofspn
e1_3_28 - Amount spent on coffee and tea in last 30 days
w1_h_fdcofgft
e1_4_28 - Value of coffee and tea received as gifts in last 30 days
w1_h_fdcofpay
e1_5_28 - Value of coffee and tea received as payment in last 30 days
w1_h_fdcofprdss
e1_6_28 - Value coffee and tea eaten from own production/own shop in last 30days
w1_h_fdhmp
e1_2_29 - Food hampers were consumed in last 30 days?
w1_h_fdhmpspn
e1_3_29 - Amount spent on food hampers in last 30 days
w1_h_fdhmpgft
e1_4_29 - Value of food hampers received as gifts in last 30 days
w1_h_fdhmppay
e1_5_29 - Value of food hampers received as payment in last 30 days
w1_h_fdhmpprdss
e1_6_29 - Value food hampers eaten from own production/own shop in last 30days
w1_h_fdrdy
e1_2_30 - Readymade meals were consumed in last 30 days?
w1_h_fdrdyspn
e1_3_30 - Amount spent on readymade meals in last 30 days
w1_h_fdrdygft
e1_4_30 - Value of readymade meals received as gifts in last 30 days
w1_h_fdrdypay
e1_5_30 - Value of readymade meals received as payment in last 30 days
w1_h_fdrdyprdss
e1_6_30 - Value readymade meals eaten own production/own shop in last 30days
w1_h_fdout
e1_2_31 - Prepared meals were consumed in last 30 days?
w1_h_fdoutspn
e1_3_31 - Amount spent on prepared meals in last 30 days
w1_h_fdoutgft
e1_4_31 - Value of prepared meals received as gifts in last 30days
w1_h_fdoutpay
e1_5_31 - Value of prepared meals received as payment in last 30days
w1_h_fdoutprdss
e1_6_31 - Value of prepared meals own production/own shop in last 30days
w1_h_fdo
e1_2_32 - Other food was consumed in last 30 days?
w1_h_fdospn
e1_3_32 - Amount spent on Other food expenditure in last 30 days
w1_h_fdogft
e1_4_32 - Value of other food received as gifts in last 30 days
w1_h_fdopay
e1_5_32 - Value of other food received as payment in last 30 days
w1_h_fdoprdss
e1_6_32 - Value Other food eaten from own production/own shop in last 30days
w1_h_nfcig
e2_1_1 - Money spent on cigarettes and tobacco in the last 30 days?
w1_h_nfcigspn
e2_2_1 - Amount spent on cigarettes and tobacco in last 30 days
w1_h_nfalc
e2_1_2 - Money spent on beer, wine and spirits in the last 30 days?
w1_h_nfalcspn
e2_2_2 - Amount spent on beer, wine and spirits in last 30 days
w1_h_nfent
e2_1_3 - Money spent on entertainment in the last 30 days?
w1_h_nfentspn
e2_2_3 - Amount spent on entertainment in last 30 days
w1_h_nfspr
e2_1_4 - Money spent on sport in the last 30 days?
w1_h_nfsprspn
e2_2_4 - Amount spent on sport in last 30 days
w1_h_nfper
e2_1_5 - Money spent on personal care in the last 30 days?
w1_h_nfperspn
e2_2_5 - Amount spent on personal care in last 30 days
w1_h_nfjew
e2_1_6 - Money spent on jewellery and watches in the last 30 days?
w1_h_nfjewspn
e2_2_6 - Amount spent on jewellery and watches in last 30 days
w1_h_nfpap
e2_1_7 - Money spent on literary materials in the last 30 days?
w1_h_nfpapspn
e2_2_7 - Amount spent on literary materials in last 30 days
w1_h_nfcel
e2_1_8 - Money spent on cellphone experiences in the last 30 days?
w1_h_nfcelspn
e2_2_8 - Amount spent on cellphone expenses in last 30 days
w1_h_nftel
e2_1_9 - Money spent on telephone expenses in the last 30 days?
w1_h_nftelspn
e2_2_9 - Amount spent on telephone expenses in last 30 days
w1_h_nflot
e2_1_10 - Money spent on lotto, gambling and horse-racing in the last 30day?s
w1_h_nflotspn
e2_2_10 - Amount spent on lotto, gambling and horse-racing in last 30 days
w1_h_nfnet
e2_1_11 - Money spent on internet in the last 30 days?
w1_h_nfnetspn
e2_2_11 - Amount spent on internet in last 30 days
w1_h_nftrp
e2_1_12 - Money spent on trips and holidays in the last 30 days?
w1_h_nftrpspn
e2_2_12 - Amount spent on trips and holidays in last 30 days
w1_h_nfcer
e2_1_13 - Money spent on ceromonies in the last 30 days?
w1_h_nfcerspn
e2_2_13 - Amount spent on ceromonies in last 30 days
w1_h_nfcar
e2_1_14 - Money spent on car payments in the last 30 days?
w1_h_nfcarspn
e2_2_14 - Amount spent on car payments in last 30 days
w1_h_nfpetr
e2_1_15 - Money spent on petrol, oil and car service in the last 30 days?
w1_h_nfpetrspn
e2_2_15 - Amount spent on petrol, oil and car service in last 30 days
w1_h_nftran
e2_1_16 - Money spent on transport in the last 30 days?
w1_h_nftranspn
e2_2_16 - Amount spent on transport in last 30 days
w1_h_nfwat
e2_1_17 - Money spent on water in the last 30 days?
w1_h_nfwatspn
e2_2_17 - Amount spent on water in last 30 days
w1_h_nfele
e2_1_18 - Money spent on electricity in the last 30 days?
w1_h_nfelespn
e2_2_18 - Amount spent on electricity in last 30 days
w1_h_nfene
e2_1_19 - Money spent on other energy sources in the last 30 days?
w1_h_nfenespn
e2_2_19 - Amount spent on other energy sources in last 30 days
w1_h_nfmun
e2_1_20 - Money spent on municipal rates in the last 30 days?
w1_h_nfmunspn
e2_2_20 - Amount spent on municipal rates in last 30 days
w1_h_nflev
e2_1_21 - Money spent on levies in the last 30 days?
w1_h_nflevspn
e2_2_21 - Amount spent on levies in last 30 days
w1_h_nfinsl
e2_1_22 - Money spent on life insurance in the last 30 days?
w1_h_nfinslspn
e2_2_22 - Amount spent on life insurance in last 30 days
w1_h_nfinsf
e2_1_23 - Money spent on funeral policies in the last 30 days?
Total: 840
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