Home / Food and Agriculture Microdata Catalogue / AGRICULTURAL-SURVEYS / ZAF_2012_NIDS-W3_V01_EN_M_V01_A_OCS
agricultural-surveys

National Income Dynamics Study 2012

South Africa, 2012
Get Microdata
Reference ID
ZAF_2012_NIDS-W3_v01_EN_M_v01_A_OCS
Producer(s)
Southern Africa Labour and Development Research Unit
Collections
Agricultural Surveys
Metadata
Documentation in PDF DDI/XML JSON
Created on
Oct 07, 2020
Last modified
Nov 03, 2020
Page views
30271
Downloads
173

Data file: HHQuestionnaire_W3_Anon_V2.1

Cases: 10219
Variables: 562

Variables

w3_hhid
Household number
w3_h_outcome
Interview outcome
w3_h_intvr_c
a13_1 - Interviewer code
w3_h_intrv_d
a14_d - Date of interview (day)
w3_h_intrv_m
a14_m - Date of interview (month)
w3_h_intrv_y
a14_y - Date of interview (year)
w3_h_refexpl
a19 - Main reason for refusal
w3_h_refexpl_o
a19_o - Other: Main reason for refusal
w3_h_refint
a20 - Degree of interaction with person refusing
w3_h_refgen
a21 - Gender of person refusing
w3_h_refage
a22 - Age of person refusing
w3_h_duration
Total interview time - in minutes
w3_h_respondent
-- PID of person who answered HHQ
w3_h_mrt24mnth
c1 - Death of a household member?
w3_h_mrtgen1
c3_1 - Deceased's gender - 1
w3_h_mrtr1
c4_1 - Relationship of deceased to household head - 1
w3_h_mrtdod_m1
c5_1_m - Month of death - 1
w3_h_mrtdod_y1
c5_1_y - Year of death - 1
w3_h_mrtage1
c6_1 - Age in years when died - 1
w3_h_mrtliv1
c7_1 - Was deceased living here when he/she died? - 1
w3_h_mrtacc1
c8_1 - Was deceased death result of accident or violence? - 1
w3_h_mrtpid1
c_pid_1 - Deceased's PID - 1
w3_h_mrtgen2
c3_2 - Deceased's gender - 2
w3_h_mrtr2
c4_2 - Relationship of deceased to household head - 2
w3_h_mrtdod_m2
c5_2_m - Month of death - 2
w3_h_mrtdod_y2
c5_2_y - Year of death - 2
w3_h_mrtage2
c6_2 - Age in years when died - 2
w3_h_mrtliv2
c7_2 - Was deceased living here when he/she died? - 2
w3_h_mrtacc2
c8_2 - Was deceased death result of accident or violence? - 2
w3_h_mrtpid2
c_pid_2 - Deceased's PID - 2
w3_h_mrtgen3
c3_3 - Deceased's gender - 3
w3_h_mrtr3
c4_3 - Relationship of deceased to household head - 3
w3_h_mrtdod_m3
c5_3_m - Month of death - 3
w3_h_mrtdod_y3
c5_3_y - Year of death - 3
w3_h_mrtage3
c6_3 - Age in years when died - 3
w3_h_mrtliv3
c7_3 - Was deceased living here when he/she died? - 3
w3_h_mrtacc3
c8_3 - Was deceased death result of accident or violence? - 3
w3_h_mrtpid3
c_pid_3 - Deceased's PID - 3
w3_h_mrtgen4
c3_4 - Deceased's gender - 4
w3_h_mrtr4
c4_4 - Relationship of deceased to household head - 4
w3_h_mrtdod_m4
c5_4_m - Month of death - 4
w3_h_mrtdod_y4
c5_4_y - Year of death - 4
w3_h_mrtage4
c6_4 - Age in years when died - 4
w3_h_mrtliv4
c7_4 - Was deceased living here when he/she died? - 4
w3_h_mrtacc4
c8_4 - Was deceased death result of accident or violence? - 4
w3_h_mrtpid4
c_pid_4 - Deceased's PID - 4
w3_h_dwlrate
d1 - Dwelling rating
w3_h_dwltyp
d2 - Type of dwelling
w3_h_dwltyp_o
d2_o - Other: Type of dwelling
w3_h_dwlrms
d3 - Number of rooms in household
w3_h_dwlmatroof
d4_1 - Main material used for roof
w3_h_dwlmatrwll
d4_2 - Main material used for walls
w3_h_dwlmatflr
d4_3 - Main material used for floor
w3_h_rnt
d5 - The household pays rent?
w3_h_rntpay
d6 - Amount paid for rent on dwelling
w3_h_rntpot
d7 - Amount of rent willing to pay
w3_h_ownd
d8 - Household member owns the dwelling?
w3_h_ownpid1
d9_1 - Who is the person who owns this dwelling? PID 1
w3_h_ownpid2
d9_2 - Who is the person who owns this dwelling? PID 2
w3_h_ownpid3
d9_3 - Who is the person who owns this dwelling? PID 3
w3_h_ownpaid
d10 - Property is paid off?
w3_h_ownowd
d11 - Amount of bond still owing
w3_h_ownmn
d12 - Monthly bond payment
w3_h_dwlrepr
d13 - Repairs/ improvements on dwelling in past 2 years?
w3_h_dwlrepr_v
d14 - Value of repairs/ improvements on dwelling
w3_h_mrkv
d15 - Reasonable market value for property
w3_h_sub
d16 - Household was a recipient of government housing subsidy
w3_h_lndgrn
d17 - Household was a recipient of government land grant?
w3_h_lndrst
d18 - Household received land via the land restitution process?
w3_h_watsrc
d19 - Household's main water source
w3_h_watsrc_o
d19_o - Other: Household's main water source
w3_h_watdis
d20 - Distance of water source from dwelling
w3_h_toi
d21 - Type of toilet facility available to household
w3_h_toi_o
d21_o - Other type of toilet facility available to household
w3_h_toishr
d22 - Household's toilet facility is shared with other households?
w3_h_enrgelec
d23 - Household has electricity?
w3_h_enrgck
d24_1 - Household's main source of energy/fuel for cooking
w3_h_enrght
d24_2 - Household's main source of energy/fuel for heating
w3_h_enrglght
d24_3 - Household's main source of energy/fuel for lighting
w3_h_tellnd
d25 - Household has a landline telephone in the dwelling?
w3_h_telcel
d26 - Household has a cellphone available for regular use?
w3_h_refrem
d27 - Refuse/Rubbish is removed weekly by local authorities?
w3_h_strlght
d28 - Existence of street lighting near dwelling?
w3_h_nbthmf
d29_1 - Frequency of theft and burglary in the neighbourhood
w3_h_freqdomvio
d29_2 - Frequency of domestic violence in the neighbourhood
w3_h_freqvio
d29_3 - Frequency of violence among different households in the neighburhood
w3_h_freqgang
d29_4 - Frequency of gangsterism in the neighbourhood
w3_h_freqmdr
d29_5 - Frequency of murders, shootings or stabbings in the neighbourhood
w3_h_freqdrug
d29_6 - Frequency of alcohol abuse in the neighbourhood
w3_h_expnd
d30 - Household expenditiure in last 30 days
w3_h_empl
d31 - Received income from employment/self-employment?
w3_h_rent
d32 - Received rental income?
w3_h_grn
d33 - Received government grant?
w3_h_prvpen
d34 - Received income from private pension, dividends or interest?
w3_h_tinc
d35 - Total household's monthly income after tax
w3_h_tinc_brac1
d36_1 - Total household's monthly income after tax: More or less than R3000?
w3_h_tinc_brac2
d36_2 - Total household's monthly income after tax: More or less than R1400?
w3_h_tinc_brac3
d36_3 - Total household's monthly income after tax: More or less than R4500?
w3_h_tinc_brac4
d36_4 - Total household's monthly income after tax: More or less than R500?
w3_h_tinc_brac5
d36_5 - Total household's monthly income after tax: More or less than R9500?
w3_h_tinc_brac6
d36_6 - Total household's monthly income after tax: More or less than R23500?
w3_h_tinc_cat
Total household monthly income after tax category, created from brackets
w3_h_fdtot
e1_1 - Total household food expenditure in last 30 days
w3_h_fdtot_brac1
e1_2_1 - Total food expenditure in last 30 days: More or less than R1200?
w3_h_fdtot_brac2
e1_2_2 - Total food expenditure in last 30 days: More or less than R700?
w3_h_fdtot_brac3
e1_2_3 - Total food expenditure in last 30 days: More or less than R400?
w3_h_fdtot_brac4
e1_2_4 - Total food expenditure in last 30 days: More or less than R1700?
w3_h_fdtot_brac5
e1_2_5 - Total food expenditure in last 30 days: More or less than R2800?
w3_h_fdtot_brac6
e1_2_6 - Total food expenditure in last 30 days: More or less than R5200?
w3_h_fdtot_cat
Total household food expenditure in last 30 days category, created from brackets
w3_h_fdrec
e1_3a - Did you receive any foodstuffs as payment in last 30 days?
w3_h_fdprd
e1_3b - Did you produce/grow/gather any foodstuffs in last 30 days?
w3_h_fdcon
e1_3c - Did you consume any foodstuffs from your own shop stock in last 30 days?
w3_h_fdmm
e1_4_1 - Mealie meal was consumed in last 30 days?
w3_h_fdmmspn
e1_5_1 - Amount spent on mealie meal in last 30 days
w3_h_fdmmpay
e1_6_1 - Value of mealie meal received as payment in last 30 days
w3_h_fdmmprd
e1_7_1 - Value of mealie meal eaten from own production in last 30days
w3_h_fdmmss
e1_8_1 - Value of mealie meal eaten from own shop in last 30 days
w3_h_fdsmp
e1_4_2 - Samp was consumed in last 30 days?
w3_h_fdsmpspn
e1_5_2 - Amount spent on samp in last 30 days
w3_h_fdsmppay
e1_6_2 - Value of samp received as payment in last 30 days
w3_h_fdsmpprd
e1_7_2 - Value of samp eaten from own production in last 30 days
w3_h_fdsmpss
e1_8_2 - Value of samp eaten from own shop in last 30 days
w3_h_fdflr
e1_4_3 - Flour and bread was consumed in last 30 days?
w3_h_fdflrspn
e1_5_3 - Amount spent on flour and bread in last 30 days
w3_h_fdflrpay
e1_6_3 - Value of flour and bread received as payment in last 30 days
w3_h_fdflrss
e1_8_3 - Value of flour and bread eaten from own shop in last 30 days
w3_h_fdrice
e1_4_4 - Rice was consumed in last 30 days?
w3_h_fdricespn
e1_5_4 - Amount spent on rice in last 30 days?
w3_h_fdricepay
e1_6_4 - Value of rice received as payment in last 30 days
w3_h_fdricess
e1_8_4 - Value of rice eaten from own shop in last 30 days
w3_h_fdpas
e1_4_5 - Pasta was consumed in last 30 days?
w3_h_fdpasspn
e1_5_5 - Amount spent on pasta in last 30 days
w3_h_fdpaspay
e1_6_5 - Value of pasta received as payment in last 30 days
w3_h_fdpasss
e1_8_5 - Value of pasta eaten from own shop in last 30 days
w3_h_fdbis
e1_4_6 - Buscuits, cakes, rusks were consumed in last 30 days?
w3_h_fdbisspn
e1_5_6 - Amount spent on buscuits, cakes, rusks in last 30 days
w3_h_fdbispay
e1_6_6 - Value of buscuits, cakes, rusks received as payment in last 30 days
w3_h_fdbisss
e1_8_6 - Value of buscuits, cakes, rusks eaten from own shop in last 30 days
w3_h_fdrm
e1_4_7 - Red meat was consumed in last 30 days?
w3_h_fdrmspn
e1_5_7 - Amount spent on red meat in last 30 days
w3_h_fdrmpay
e1_6_7 - Value of red meat received as payment in last 30 days
w3_h_fdrmprd
e1_7_7 - Value of red meat eaten from own production in last 30 days
w3_h_fdrmss
e1_8_7 - Value of red meat eaten from own shop in last 30 days
w3_h_fdrmc
e1_4_8 - Canned red meat was consumed in last 30 days?
w3_h_fdrmcspn
e1_5_8 - Amount spent on canned red meat in last 30 days
w3_h_fdrmcpay
e1_6_8 - Value of canned red meat received as payment in last 30 days
w3_h_fdrmcss
e1_8_8 - Value of canned red meat eaten from own shop in last 30 days
w3_h_fdchi
e1_4_9 - Chicken was consumed in last 30 days?
w3_h_fdchispn
e1_5_9 - Amount spent on chicken in last 30 days
w3_h_fdchipay
e1_6_9 - Value of chicken received as payment in last 30 days
w3_h_fdchiprd
e1_7_9 - Value of chicken eaten from own production in last 30 days
w3_h_fdchiss
e1_8_9 - Value of chicken eaten from own shop in last 30 days
w3_h_fdfsh
e1_4_10 - Fresh fish and shell fish were consumed in last 30 days?
w3_h_fdfshspn
e1_5_10 - Amount spent on fresh fish and shell fish in last 30 days
w3_h_fdfshpay
e1_6_10 - Value of fresh fish and shell fish received as payment in last 30 days
w3_h_fdfshprd
e1_7_10 - Value of fresh fish and shell fish eaten from own production in last 3
w3_h_fdfshss
e1_8_10 - Value of fresh fish and shell fish eaten from own shop in last 30 days
w3_h_fdfshc
e1_4_11 - Tinned fish was consumed in last 30 days?
w3_h_fdfshcspn
e1_5_11 - Amount spent on tinned fish in last 30 days
w3_h_fdfshcpay
e1_6_11 - Value of tinned fish received as payment in last 30 days
w3_h_fdfshcss
e1_8_11 - Value of tinned fish eaten from own shop in last 30 days
w3_h_fdvegd
e1_4_12 - Dried pulses were consumed in last 30 days?
w3_h_fdvegdspn
e1_5_12 - Amount spent on dried pulses in last 30 days
w3_h_fdvegdpay
e1_6_12 - Value of dried pulses received as payment in last 30 days
w3_h_fdvegdprd
e1_7_12 - Value of dried pulses eaten from own production in last 30 days
w3_h_fdvegdss
e1_8_12 - Value of dried pulses eaten from own shop in last 30 days
w3_h_fdpot
e1_4_13 - Potatoes were consumed in last 30 days?
w3_h_fdpotspn
e1_5_13 - Amount spent on potatoes in last 30 days
w3_h_fdpotpay
e1_6_13 - Value of potatoes received as payment in last 30 days
w3_h_fdpotprd
e1_7_13 - Value of potatoes eaten from own production in last 30 days
w3_h_fdpotss
e1_8_13 - Value of potatoes eaten from own shop in last 30 days
w3_h_fdvego
e1_4_14 - Other vegetables were consumed in last 30 days?
w3_h_fdvegospn
e1_5_14 - Amount spent on other vegetables in last 30 days
w3_h_fdvegopay
e1_6_14 - Value of other vegetables received as payment in last 30 days
w3_h_fdvegoprd
e1_7_14 - Value of other vegetables eaten from own production in last 30 days
w3_h_fdvegoss
e1_8_14 - Value of other vegetables eaten from own shop in last 30 days
w3_h_fdfru
e1_4_15 - Fruits and nuts were consumed in last 30 days?
w3_h_fdfruspn
e1_5_15 - Amount spent on fruits and nuts in last 30 days
w3_h_fdfrupay
e1_6_15 - Value of fruits and nuts received as payment in last 30 days
w3_h_fdfruprd
e1_7_15 - Value of fruits and nuts eaten from own production in last 30 days
w3_h_fdfruss
e1_8_15 - Value of fruits and nuts eaten from own shop in last 30 days
w3_h_fdoil
e1_4_16 - Cooking oil was consumed in last 30 days?
w3_h_fdoilspn
e1_5_16 - Amount spent on cooking oil in last 30 days
w3_h_fdoilpay
e1_6_16 - Value of cooking oil received as payment in last 30 days
w3_h_fdoilss
e1_8_16 - Value of cooking oil eaten own from shop in last 30 days
w3_h_fdmar
e1_4_17 - Other fats were consumed in last 30 days?
w3_h_fdmarspn
e1_5_17 - Amount spent on other fats in last 30 days
w3_h_fdmarpay
e1_6_17 - Value of other fats received as payment in last 30 days
w3_h_fdmarprd
e1_7_17 - Value of other fats eaten from own production in last 30 days
w3_h_fdmarss
e1_8_17 - Value of other fats eaten from own shop in last 30 days
w3_h_fdpb
e1_4_18 - Peanut butter was consumed in last 30 days?
w3_h_fdpbspn
e1_5_18 - Amount spent on peanut butter in last 30 days
w3_h_fdpbpay
e1_6_18 - Value of peanut butter received as payment in last 30 days
w3_h_fdpbprd
e1_7_18 - Value of peanut butter eaten from own production in last 30 days
w3_h_fdpbss
e1_8_18 - Value of peanut butter eaten from own shop in last 30 days
w3_h_fdmlk
e1_4_19 - Dairy products were consumed in last 30 days?
w3_h_fdmlkspn
e1_5_19 - Amount spent on dairy products in last 30 days
w3_h_fdmlkpay
e1_6_19 - Value of dairy products received as payment in last 30 days
w3_h_fdmlkprd
e1_7_19 - Value of dairy products eaten from own production in last 30 days
w3_h_fdmlkss
e1_8_19 - Value of dairy products eaten from own shop in last 30 days
w3_h_fdegg
e1_4_20 - Eggs were consumed in last 30 days?
w3_h_fdeggspn
e1_5_20 - Amount spent on eggs in last 30 days
w3_h_fdeggpay
e1_6_20 - Value of eggs received as payment in last 30 days
w3_h_fdeggprd
e1_7_20 - Value of eggs eaten from own production in last 30 days
w3_h_fdeggss
e1_8_20 - Value of eggs eaten own shop in last 30 days
w3_h_fdsug
e1_4_21 - Sweets etc. were consumed in last 30 days?
w3_h_fdsugspn
e1_5_21 - Amount spent on sweets etc. in last 30 days
w3_h_fdsugpay
e1_6_21 - Value of Sweets etc. received as payment in last 30 days
w3_h_fdsugprd
e1_7_21 - Value of Sweets etc. eaten from own production in last 30 days
w3_h_fdsugss
e1_8_21 - Value of Sweets etc. eaten from own shop in last 30 days
w3_h_fdsd
e1_4_22 - Soft drinks and juices were consumed in last 30 days?
w3_h_fdsdspn
e1_5_22 - Amount spent on soft drinks and juices in last 30 days
w3_h_fdsdpay
e1_6_22 - Value of soft drinks and juices received as payment in last 30 days
w3_h_fdsdss
e1_8_22 - Value of soft drinks and juices consumed from own shop in last 30 days
w3_h_fdfrut
e1_4_23 - Tinned fruit were consumed in last 30 days?
w3_h_fdfrutspn
e1_5_23 - Amount spent on tinned fruit in last 30 days
w3_h_fdfrutpay
e1_6_23 - Value of tinned fruit received as payment in last 30 days
w3_h_fdfrutss
e1_8_23 - Value of tinned fruit eaten from own shop in last 30 days
w3_h_fdcer
e1_4_24 - Cereal and porridge were consumed in last 30 days?
w3_h_fdcerspn
e1_5_24 - Amount spent on cereal and porridge in last 30 days
w3_h_fdcerpay
e1_6_24 - Value of cereal and porridge received as payment in last 30 days
w3_h_fdcerss
e1_8_24 - Value of cereal and porridge eaten from own shop in last 30 days
w3_h_fdbaby
e1_4_25 - Baby food and formula were consumed in last 30 days?
w3_h_fdbabyspn
e1_5_25 - Amount spent on baby food and formula in last 30 days
w3_h_fdbabypay
e1_6_25 - Value of baby food and formula received as payment in last 30 days
w3_h_fdbabyss
e1_8_25 - Value of baby food and formula eaten from own shop in last 30 days
w3_h_fdslt
e1_4_26 - Salt and spices were consumed in last 30 days
w3_h_fdsltspn
e1_5_26 - Amount spent on salt and spices in last 30 days
w3_h_fdsltpay
e1_6_26 - Value of salt and spices received as payment in last 30 days
w3_h_fdsltprd
e1_7_26 - Value of salt and spices eaten from own production in last 30 days
w3_h_fdsltss
e1_8_26 - Value of salt and spices eaten from own shop in last 30 days
w3_h_fdsoy
e1_4_27 - Soya products were consumed in last 30 days?
w3_h_fdsoyspn
e1_5_27 - Amount spent on soya products in last 30 days
w3_h_fdsoypay
e1_6_27 - Value of soya products received as payment in last 30 days
w3_h_fdsoyss
e1_8_27 - Value of soya products eaten from own shop in last 30 days
w3_h_fdcof
e1_4_28 - Coffee and tea were consumed in last 30 days?
w3_h_fdcofspn
e1_5_28 - Amount spent on coffee and tea in last 30 days
w3_h_fdcofpay
e1_6_28 - Value of coffee and tea received as payment in last 30 days
w3_h_fdcofprd
e1_7_28 - Value of coffee and tea eaten from own production in last 30 days
w3_h_fdcofss
e1_8_28 - Value of coffee and tea consumed from own shop in last 30 days
w3_h_fdhmp
e1_4_29 - Food hampers were consumed in last 30 days?
w3_h_fdhmpspn
e1_5_29 - Amount spent on food hampers in last 30 days
w3_h_fdhmppay
e1_6_29 - Value of food hampers received as payment in last 30 days
w3_h_fdhmpss
e1_8_29 - Value of food hampers consumed from own shop in last 30 days
w3_h_fdrdy
e1_4_30 - Readymade meals were consumed in last 30 days?
w3_h_fdrdyspn
e1_5_30 - Amount spent on readymade meals in last 30 days
w3_h_fdrdypay
e1_6_30 - Value of readymade meals received as payment in last 30 days
w3_h_fdrdyss
e1_8_30 - Value of readymade meals eaten own shop in last 30 days
w3_h_fdout
e1_4_31 - Prepared meals were consumed in last 30 days?
w3_h_fdoutspn
e1_5_31 - Amount spent on prepared meals outside the home in last 30 days
w3_h_fdoutpay
e1_6_31 - Value of prepared meals received as payment in last 30 days
w3_h_fdoutss
e1_8_31 - Value of prepared meals eaten from own shop in last 30 days
w3_h_fdo
e1_4_32 - Other food was consumed in last 30 days?
w3_h_fdospn
e1_5_32 - Amount spent on other food in last 30 days
w3_h_fdopay
e1_6_32 - Value of other food received as payment in last 30 days
w3_h_fdoss
e1_8_32 - Value of other food eaten from own shop in last 30 days
w3_h_nfcig
e2_1_1 - Money spent on cigarettes and tobacco in the last 30 days?
w3_h_nfcigspn
e2_2_1 - Amount spent on cigarettes and tobacco in the last 30 days
w3_h_nfalc
e2_1_2 - Money spent on beer, wine and spirits in the last 30 days?
w3_h_nfalcspn
e2_2_2 - Amount spent on beer, wine and spirits in the last 30 days
w3_h_nfent
e2_1_3 - Money spent on entertainment in the last 30 days?
w3_h_nfentspn
e2_2_3 - Amount spent on entertainment in the last 30 days
w3_h_nfspr
e2_1_4 - Money spent on sport in the last 30 days?
w3_h_nfsprspn
e2_2_4 - Amount spent on sport in the last 30 days
w3_h_nfper
e2_1_5 - Money spent on personal care in the last 30 days?
w3_h_nfperspn
e2_2_5 - Amount spent on personal care in the last 30 days
w3_h_nfjew
e2_1_6 - Money spent on jewellery and watches in the last 30 days?
w3_h_nfjewspn
e2_2_6 - Amount spent on jewellery and watches in the last 30 days
w3_h_nfpap
e2_1_7 - Money spent on literary materials in the last 30 days?
w3_h_nfpapspn
e2_2_7 - Amount spent on literary materials in the last 30 days
w3_h_nfcel
e2_1_8 - Money spent on cellphone expenses in the last 30 days?
w3_h_nfcelspn
e2_2_8 - Amount spent on cellphone expenses in the last 30 days
w3_h_nftel
e2_1_9 - Money spent on telephone expenses in the last 30 days?
w3_h_nftelspn
e2_2_9 - Amount spent on telephone expenses in the last 30 days
w3_h_nflot
e2_1_10 - Money spent on lotto, gambling and horse-racing in the last 30 days?
w3_h_nflotspn
e2_2_10 - Amount spent on lotto, gambling and horse-racing in the last 30 days
w3_h_nfnet
e2_1_11 - Money spent on internet in the last 30 days?
w3_h_nfnetspn
e2_2_11 - Amount spent on internet in the last 30 days
w3_h_nftrp
e2_1_12 - Money spent on trips and holidays in the last 30 days?
w3_h_nftrpspn
e2_2_12 - Amount spent on trips and holidays in the last 30 days
w3_h_nfcer
e2_1_13 - Money spent on ceremonies in the last 30 days?
w3_h_nfcerspn
e2_2_13 - Amount spent on ceremonies in the last 30 days
w3_h_nfcar
e2_1_14 - Money spent on car payments in the last 30 days?
w3_h_nfcarspn
e2_2_14 - Amount spent on car payments in the last 30 days
w3_h_nfpetr
e2_1_15 - Money spent on petrol, oil and car services in the last 30 days?
w3_h_nfpetrspn
e2_2_15 - Amount spent on petrol, oil and car services in the last 30 days
w3_h_nftran
e2_1_16 - Money spent on transport in the last 30 days?
w3_h_nftranspn
e2_2_16 - Amount spent on transport in the last 30 days
w3_h_nfwat
e2_1_17 - Money spent on water in the last 30 days?
w3_h_nfwatspn
e2_2_17 - Amount spent on water in the last 30 days
w3_h_nfele
e2_1_18 - Money spent on electricity in the last 30 days?
w3_h_nfelespn
e2_2_18 - Amount spent on electricity in the last 30 days
w3_h_nfene
e2_1_19 - Money spent on other energy sources in the last 30 days?
w3_h_nfenespn
e2_2_19 - Amount spent on other energy sources in the last 30 days
w3_h_nfmun
e2_1_20 - Money spent on municipal rates in the last 30 days?
w3_h_nfmunspn
e2_2_20 - Amount spent on municipal rates in the last 30 days
w3_h_nflev
e2_1_21 - Money spent on levies in the last 30 days?
w3_h_nflevspn
e2_2_21 - Amount spent on levies in the last 30 days
w3_h_nfinsl
e2_1_22 - Money spent on life insurance in the last 30 days?
Total: 562
Back to Catalog