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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
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Created on
Dec 20, 2012
Last modified
Mar 29, 2019
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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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