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TZA_2010_VBIIE-BL_V01_M_V01_A_PUF
Virtual Business Incubator Impact Evaluation 2010, Baseline Survey
Tanzania
,
2010
Reference ID
TZA_2010_VBIIE-BL_v01_M_v01_A_PUF
Producer(s)
Elena Bardasi, Markus Goldstein
Metadata
DDI/XML
JSON
Created on
Dec 23, 2014
Last modified
Dec 05, 2019
Page views
21067
Downloads
787
Study Description
Data Dictionary
Downloads
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Data files
bl_consumption
bl_parental_history
bl_mental_health_marital
bl_labor
bl_housing
bl_household_savings
bl_household_assets
bl_group_participation
bl_education
bl_respondent_savings
bl_timeuserespond
enterprise2bl_roster5_1_1
enterprise3bl
enterprise4bl
enterprise5bl_products
enterprise8bl_busequip
enterprise9bl_labor_clients
enterprise10bl_top_products
enterprise11bl_prices_sales
enterprise12bl_marketing_finance
enterprise13bl_prof_rev_exp
enterprise14bl_chall_opp
enterprise15bl_harass1
enterprise16bl_harass2
enterprise17bl_support
enterprise18bl_access
enterprise19bl_training
enterprise20bl_conclusion
group_respondent
enterprise1bl_anonymized
tanzania_introduction_anonymized
enterprise6bl_respondent_inputs_anonymized
enterprise7bl_inputs_anonymized
Data file: bl_consumption
Section 7. Consumption
Cases:
821
Variables:
277
Variables
serial_no
Serial No.
rid
HOUSEHOLD ID
rice_use_7days
1. Rice (hesked) (Yes/No.):- Within the past 7 days, did any member(s) of this
rice_quant_consume_7days
2. Rice (hesked) (Quantity):- How much rice (hesked) in total did your household
rice_unit_consume_7days
2. Rice (hesked) (Unit):- How much rice (hesked) in total did your household consume
rice_quant_purch_7days
3. Rice (hesked) (Quantity):- How much rice (hesked) came from purchases in the past
rice_unit_purch_7days
3. Rice (hesked) (Unit):- How much rice (hesked) came from purchases in the past
maize_g_use_7days
1. Maize (grain) (Yes/No.):- Within the past 7 days, did any member(s) of this
maize_g_quant_consume_7days
2. Maize (grain) (Quantity):- How much maize (grain) in total did your household
maize_g_unit_consume_7days
2. Maize (grain) (Unit):- How much maize (grain) in total did your household consume
maize_g_quant_purch_7days
3. Maize (grain) (Quantity):- How much maize (grain) came from purchases in the past
maize_g_unit_purch_7days
3. Maize (grain) (Unit):- How much maize (grain) came from purchases in the past
maize_f_use_7days
1. Maize flour (Yes/No.):- Within the past 7 days, did any member(s) of this hou
maize_f_quant_consume_7days
2. Maize flour (Quantity):- How much maize flour in total did your household consume
maize_f_unit_consume_7days
2. Maize flour (Unit):- How much maize flour in total did your household consume in
maize_f_quant_purch_7days
3. Maize flour (Quantity):- How much maize flour came from purchases in the past
maize_f_unit_purch_7days
3. Maize flour (Unit):- How much maize flour came from purchases in the past 7 days
millet_use_7days
1. Millet and sorghum flouri (Yes/No.):- Within the past 7 days, did any member(
millet_quant_consume_7days
2. Millet and sorghum flouri (Quantity):- How much millet and sorghum flouri in total
millet_unit_consume_7days
2. Millet and sorghum flouri (Unit):- How much millet and sorghum flouri in total did
millet_quant_purch_7days
3. Millet and sorghum flouri (Quantity):- How much millet and sorghum flouri came
millet_unit_purch_7days
3. Millet and sorghum flouri (Unit):- How much millet and sorghum flouri came from
cassava_use_7days
1. Fresh cassava (Yes/No.):- Within the past 7 days, did any member(s) of this h
cassava_quant_consume_7days
2. Fresh cassava (Quantity):- How much fresh cassava in total did your household
cassava_unit_consume_7days
2. Fresh cassava (Unit):- How much fresh cassava in total did your household
cassava_quant_purch_7days
3. Fresh cassava (Quantity):- How much fresh cassava came from purchases in the
cassava_unit_purch_7days
3. Fresh cassava (Unit):- How much fresh cassava came from purchases in the past
dry_flour_use_7days
1. Cassava dry flour (Yes/No.):- Within the past 7 days, did any member(s) of th
dry_flour_quant_consume_7days
2. Cassava dry flour (Quantity):- How much cassava dry flour in total did your
dry_flour_unit_consume_7days
2. Cassava dry flour (Unit):- How much cassava dry flour in total did your household
dry_flour_quant_purch_7days
3. Cassava dry flour (Quantity):- How much cassava dry flour came from purchases
dry_flour_unit_purch_7days
3. Cassava dry flour (Unit):- How much cassava dry flour came from purchases in the
swt_pttoes_use_7days
1. Sweet potatoes (Yes/No.):- Within the past 7 days, did any member(s) of this
swt_pttoes_quant_consume_7days
2. Sweet potatoes (Quantity):- How much sweet potatoes in total did your household
swt_pttoes_unit_consume_7days
2. Sweet potatoes (Unit):- How much sweet potatoes in total did your household
swt_pttoes_quant_purch_7days
3. Sweet potatoes (Quantity):- How much sweet potatoes came from purchases in the
swt_pttoes_unit_purch_7days
3. Sweet potatoes (Unit):- How much sweet potatoes came from purchases in the past
banana_use_7days
1. Cooking banana, plantains (Yes/No.):- Within the past 7 days, did any member(s)
banana_quant_consume_7days
2. Cooking banana, plantains (Quantity):- How much cooking banana, plantains in total
banana_unit_consume_7days
2. Cooking banana, plantains (Unit):- How much cooking banana, plantains in total did
banana_quant_purch_7days
3. Cooking banana, plantains (Quantity):- How much cooking banana, plantains came
banana_unit_purch_7days
3. Cooking banana, plantains (Unit):- How much cooking banana, plantains came from
sugar_use_7days
1. Sugar (Yes/No.):- Within the past 7 days, did any member(s) of this household
sugar_quant_consume_7days
2. Sugar (Quantity):- How much sugar in total did your household consume in the past
sugar_unit_consume_7days
2. Sugar (Unit):- How much sugar in total did your household consume in the past 7 days
sugar_quant_purch_7days
3. Sugar (Quantity):- How much sugar came from purchases in the past 7 days?
sugar_unit_purch_7days
3. Sugar (Unit):- How much sugar came from purchases in the past 7 days?
beans_use_7days
1. Peas, beans, lentils and other pulses (Yes/No.):- Within the past 7 days, did
beans_quant_consume_7days
2. Peas, beans, lentils and other pulses (Quantity):- How much peas, beans, lentils
beans_unit_consume_7days
2. Peas, beans, lentils and other pulses (Unit):- How much peas, beans, lentils and other
beans_quant_purch_7days
3. Peas, beans, lentils and other pulses (Quantity):- How much peas, beans, lentils and
beans_unit_purch_7days
3. Peas, beans, lentils and other pulses (Unit):- How much peas, beans, lentils and other
onion_use_7days
1. Onions, tomatoes, carrots and green pepper and other spices (Yes/No.):- Within the
onion_quant_consume_7days
2. Onions, tomatoes, carrots and green pepper and other spices (Quantity):- How
onion_unit_consume_7days
2. Onions, tomatoes, carrots and green pepper and other spices (Unit):- How much
onion_quant_purch_7days
3. Onions, tomatoes, carrots and green pepper and other spices (Quantity):- How
onion_unit_purch_7days
3. Onions, tomatoes, carrots and green pepper and other spices (Unit):- How much
gr_veg_use_7days
1. Spinach, cabbage and other green vegetables (Yes/No.):- Within the past 7 day
gr_veg_quant_consume_7days
2. Spinach, cabbage and other green vegetables (Quantity):- How much spinach
gr_veg_unit_consume_7days
2. Spinach, cabbage and other green vegetables (Unit):- How much spinach, cabbage
gr_veg_quant_purch_7days
3. Spinach, cabbage and other green vegetables (Quantity):- How much spinach
gr_veg_unit_purch_7days
3. Spinach, cabbage and other green vegetables (Unit):- How much spinach, cabbage
beef_use_7days
1. Beef - including minced meat and sausage (Yes/No.):- Within the past 7 days,
beef_quant_consume_7days
2. Beef - including minced meat and sausage (Quantity):- How much beef - including
beef_unit_consume_7days
2. Beef - including minced meat and sausage (Unit):- How much beef - including
beef_quant_purch_7days
3. Beef - including minced meat and sausage (Quantity):- How much beef - including
beef_unit_purch_7days
3. Beef - including minced meat and sausage (Unit):- How much beef - including minced
fish_use_7days
1. Fresh fish and seafood (including small fish) (Yes/No.):- Within the past 7 days
fish_quant_consume_7days
2. Fresh fish and seafood (including small fish) (Quantity):- How much fresh fish
fish_unit_consume_7days
2. Fresh fish and seafood (including small fish) (Unit):- How much fresh fish and seafood
fish_quant_purch_7days
3. Fresh fish and seafood (including small fish) (Quantity):- How much fresh fish
fish_unit_purch_7days
3. Fresh fish and seafood (including small fish) (Unit):- How much fresh fish and seafood
can_fish_use_7days
1. Dried/salted/canned fish and sea food (inc. small fish) (Yes/No.):- Within the
can_fish_quant_consume_7days
2. Dried/salted/canned fish and sea food (inc. small fish) (Quantity):- How much
can_fish_unit_consume_7days
2. Dried/salted/canned fish and sea food (inc. small fish) (Unit):- How much dried
can_fish_quant_purch_7days
3. Dried/salted/canned fish and sea food (inc. small fish) (Quantity):- How much
can_fish_unit_purch_7days
3. Dried/salted/canned fish and sea food (inc. small fish) (Unit):- How much dried
milk_use_7days
1. Fresh milk (Yes/No.):- Within the past 7 days, did any member(s) of this hous
milk_quant_consume_7days
2. Fresh milk (Quantity):- How much fresh milk in total did your household consume
milk_unit_consume_7days
2. Fresh milk (Unit):- How much fresh milk in total did your household consume in the
milk_quant_purch_7days
3. Fresh milk (Quantity):- How much fresh milk came from purchases in the past
milk_unit_purch_7days
3. Fresh milk (Unit):- How much fresh milk came from purchases in the past 7 days
oil_use_7days
1. Cooking oil (Yes/No.):- Within the past 7 days, did any member(s) of this household
oil_quant_consume_7days
2. Cooking oil (Quantity):- How much cooking oil in total did your household consume
oil_unit_consume_7days
2. Cooking oil (Unit):- How much cooking oil in total did your household consume in the
oil_quant_purch_7days
3. Cooking oil (Quantity):- How much cooking oil came from purchases in the past 7 days
oil_unit_purch_7days
3. Cooking oil (Unit):- How much cooking oil came from purchases in the past 7 days?
rice_spend
4. Rice (hesked) (Shilling): -How much did you spend?
rice_quant_prod
5. Rice (hesked) (Quantity):- How much rice (hesked) came from own production in the
rice_unit_prod
5. Rice (hesked) (Unit):- How much rice (hesked) came from own production in the past
rice_quant_gift
6. Rice (hesked) (Quantity):- How much rice (hesked) came from gifts or other sources i
rice_unit_gift
6. Rice (hesked) (Unit):- How much rice (hesked) came from gifts or other sources in th
maize_g_spend
4. Maize (grain) (Shilling): -How much did you spend?
maize_g_quant_prod
5. Maize (grain) (Quantity):- How much maize (grain) came from own production in the
maize_g_unit_prod
5. Maize (grain) (Unit):- How much maize (grain) came from own production in the past
maize_g_quant_gift
6. Maize (grain) (Quantity):- How much maize (grain) came from gifts or other sources
maize_g_unit_gift
6. Maize (grain) (Unit):- How much maize (grain) came from gifts or other sources in the
maize_f_spend
4. Maize flour (Shilling): -How much did you spend?
maize_f_quant_prod
5. Maize flour (Quantity):- How much maize flour came from own production in the past
maize_f_unit_prod
5. Maize flour (Unit):- How much maize flour came from own production in the past 7 days
maize_f_quant_gift
6. Maize flour (Quantity):- How much maize flour came from gifts or other sources in
maize_f_unit_gift
6. Maize flour (Unit):- How much maize flour came from gifts or other sources in the
millet_spend
4. Millet and sorghum flour (Shilling): -How much did you spend?
millet_quant_prod
5. Millet and sorghum flour (Quantity):- How much millet and sorghum flour came from
millet_unit_prod
5. Millet and sorghum flour (Unit):- How much millet and sorghum flour came from own
millet_quant_gift
6. Millet and sorghum flour (Quantity):- How much millet and sorghum flour came from
millet_unit_gift
6. Millet and sorghum flour (Unit):- How much millet and sorghum flour came from gifts
cassava_spend
4. Fresh cassava (Shilling): -How much did you spend?
cassava_quant_prod
5. Fresh cassava (Quantity):- How much fresh cassava came from own production in the
cassava_unit_prod
5. Fresh cassava (Unit):- How much fresh cassava came from own production in the past
cassava_quant_gift
6. Fresh cassava (Quantity):- How much fresh cassava came from gifts or other sources
cassava_unit_gift
6. Fresh cassava (Unit):- How much fresh cassava came from gifts or other sources in th
dry_flour_spend
4. Cassava dry flour (Shilling): -How much did you spend?
dry_flour_quant_prod
5. Cassava dry flour (Quantity):- How much cassava dry flour came from own production in
dry_flour_unit_prod
5. Cassava dry flour (Unit):- How much cassava dry flour came from own production in the
dry_flour_quant_gift
6. Cassava dry flour (Quantity):- How much cassava dry flour came from gifts or other sources
dry_flour_unit_gift
6. Cassava dry flour (Unit):- How much cassava dry flour came from gifts or other sources
swt_pttoes_spend
4. Sweet potatoes (Shilling): -How much did you spend?
swt_pttoes_quant_prod
5. Sweet potatoes (Quantity):- How much sweet potatoes came from own production in the
swt_pttoes_unit_prod
5. Sweet potatoes (Unit):- How much sweet potatoes came from own production in the past
swt_pttoes_quant_gift
6. Sweet potatoes (Quantity):- How much sweet potatoes came from gifts or other sources
swt_pttoes_unit_gift
6. Sweet potatoes (Unit):- How much sweet potatoes came from gifts or other sources in
banana_spend
4. Cooking banana, plantains (Shilling): -How much did you spend?
banana_quant_prod
5. Cooking banana, plantains (Quantity):- How much cooking banana, plantains came from
banana_unit_prod
5. Cooking banana, plantains (Unit):- How much cooking banana, plantains came from own
banana_quant_gift
6. Cooking banana, plantains (Quantity):- How much cooking banana, plantains came from
banana_unit_gift
6. Cooking banana, plantains (Unit):- How much cooking banana, plantains came from gifts
sugar_spend
4. Sugar (Shilling): -How much did you spend?
sugar_quant_prod
5. Sugar (Quantity):- How much sugar came from own production in the past 7 days? If none
sugar_unit_prod
5. Sugar (Unit):- How much sugar came from own production in the past 7 days? If none write
sugar_quant_gift
6. Sugar (Quantity):- How much sugar came from gifts or other sources in the past 7 days
sugar_unit_gift
6. Sugar (Unit):- How much sugar came from gifts or other sources in the past 7 days?
beans_spend
4. Peas, beans, lentils and other pulses (Shilling): -How much did you spend?
beans_quant_prod
5. Peas, beans, lentils and other pulses (Quantity):- How much peas, beans, lentils and other
beans_unit_prod
5. Peas, beans, lentils and other pulses (Unit):- How much peas, beans, lentils and other pulses
beans_quant_gift
6. Peas, beans, lentils and other pulses (Quantity):- How much peas, beans, lentils and other
beans_unit_gift
6. Peas, beans, lentils and other pulses (Unit):- How much peas, beans, lentils and other pulses
onion_spend
4. Onions, tomatoes, carrots and green pepper and other spices (Shilling): -How much did you
onion_quant_prod
5. Onions, tomatoes, carrots and green pepper and other spices (Quantity):- How much onions
onion_unit_prod
5. Onions, tomatoes, carrots and green pepper and other spices (Unit):- How much onions
onion_quant_gift
6. Onions, tomatoes, carrots and green pepper and other spices (Quantity):- How much onions
onion_unit_gift
6. Onions, tomatoes, carrots and green pepper and other spices (Unit):- How much onions
gr_veg_spend
4. Spinach, cabbage and other green vegetables (Shilling): -How much did you spend?
gr_veg_quant_prod
5. Spinach, cabbage and other green vegetables (Quantity):- How much spinach, cabbage and
gr_veg_unit_prod
5. Spinach, cabbage and other green vegetables (Unit):- How much spinach, cabbage and other
gr_veg_quant_gift
6. Spinach, cabbage and other green vegetables (Quantity):- How much spinach, cabbage and
gr_veg_unit_gift
6. Spinach, cabbage and other green vegetables (Unit):- How much spinach, cabbage and other
beef_spend
4. Beef - including minced meat and sausage (Shilling): -How much did you spend?
beef_quant_prod
5. Beef - including minced meat and sausage (Quantity):- How much beef - including minced meat
beef_unit_prod
5. Beef - including minced meat and sausage (Unit):- How much beef - including minced meat and
beef_quant_gift
6. Beef - including minced meat and sausage (Quantity):- How much beef - including minced meat
beef_unit_gift
6. Beef - including minced meat and sausage (Unit):- How much beef - including minced meat and
fish_spend
4. Fresh fish and seafood (including small fish) (Shilling): -How much did you spend?
fish_quant_prod
5. Fresh fish and seafood (including small fish) (Quantity):- How much fresh fish and seafood
fish_unit_prod
5. Fresh fish and seafood (including small fish) (Unit):- How much fresh fish and seafood (including
fish_quant_gift
6. Fresh fish and seafood (including small fish) (Quantity):- How much fresh fish and seafood
fish_unit_gift
6. Fresh fish and seafood (including small fish) (Unit):- How much fresh fish and seafood (including
can_fish_spend
4. Dried/salted/canned fish and sea food (inc. small fish) (Shilling): -How much did you spend?
can_fish_quant_prod
5. Dried/salted/canned fish and sea food (inc. small fish) (Quantity):- How much dried/salted/canned
can_fish_unit_prod
5. Dried/salted/canned fish and sea food (inc. small fish) (Unit):- How much dried/salted/canned
can_fish_quant_gift
6. Dried/salted/canned fish and sea food (inc. small fish) (Quantity):- How much dried/salted/canned
can_fish_unit_gift
6. Dried/salted/canned fish and sea food (inc. small fish) (Unit):- How much dried/salted/canned fish
milk_spend
4. Fresh milk (Shilling): -How much did you spend?
milk_quant_prod
5. Fresh milk (Quantity):- How much fresh milk came from own production in the past 7 days? If none
milk_unit_prod
5. Fresh milk (Unit):- How much fresh milk came from own production in the past 7 days? If none write 0
milk_quant_gift
6. Fresh milk (Quantity):- How much fresh milk came from gifts or other sources in the past 7 days? Don't
milk_unit_gift
6. Fresh milk (Unit):- How much fresh milk came from gifts or other sources in the past 7 days? Don't include
oil_spend
4. Cooking oil (Shilling): -How much did you spend?
oil_quant_prod
5. Cooking oil (Quantity):- How much cooking oil came from own production in the past 7 days? If none write
oil_unit_prod
5. Cooking oil (Unit):- How much cooking oil came from own production in the past 7 days? If none write 0.
oil_quant_gift
6. Cooking oil (Quantity):- How much cooking oil came from gifts or other sources in the past 7 days? Don't
oil_unit_gift
6. Cooking oil (Unit):- How much cooking oil came from gifts or other sources in the past 7 days? Don't include
hunger
Has anyone in the household experienced hunger in the last 30 days?
food_quality
Has the quality of food improved in the last year?
child_0_5
Children 0-5 years
child_6_15
Children 6-15 years
adult_16_65
Adults 16-65 years
adult_65_over
Adults over 65 years
meals_spent
Total spent in Shillings:- Full meals (breakfast, Lunch, dinner)
meals_id
Household ID of person responsible for purchases:- Full meals (breakfast, Lunch, dinner)
bbq_spent
Total spent in Shillings:- Barbequed meat, chips, roast bananas, and other snack
bbq_id
Household ID of person responsible for purchases:- Barbequed meat, chips, roast
brew_spent
Total spent in Shillings:- Kibuku and other local brews
brew_id
Household ID of person responsible for purchases:- Kibuku and other local brews
wine_spent
Total spent in Shillings:- Wine, commercial beer, spirits
wine_id
Household ID of person responsible for purchases:- Wine, commercial beer, spirit
soda_spent
Total spent in Shillings:- Sodas and other non-alcoholic drinks
soda_id
Household ID of person responsible for purchases:- Sodas and other non-alcoholic
sweet_spent
Total spent in Shillings:- Sweet and ice-creams
sweet_id
Household ID of person responsible for purchases:- Sweet and ice-creams
snack_spent
Total spent in Shillings:- Snacks
snack_id
Household ID of person responsible for purchases:- Snacks
charcoal_spent
Total spent in Shillings:- Charcoal, coal
charcoal_id
Household ID of person responsible for purchases:- Charcoal, coal
firewood_spent
Total spent in Shillings:- Firewood
firewood_id
Household ID of person responsible for purchases:- Firewood
kerosene_spent
Total spent in Shillings:- Kerosene, Paraffin
kerosene_id
Household ID of person responsible for purchases:- Kerosene, Paraffin
matches_spent
Total spent in Shillings:- Matches, lighters, candles, lamp/stove wicks
matches_id
Household ID of person responsible for purchases:- Matches, lighters, candles, l
laundry_spent
Total spent in Shillings:- Laundry soap, toilet soap
laundry_id
Household ID of person responsible for purchases:- Laundry soap, toilet soap
cig_spent
Total spent in Shillings:- Cigarettes, tabacco, snuff
cig_id
Household ID of person responsible for purchases:- Cigarettes, tabacco, snuff
cell_phone_spent
Total spent in Shillings:- Cell phone top up cards, internet
cell_phone_id
Household ID of person responsible for purchases:- Cell phone top up cards, inte
trans_oil_spent
Total spent in Shillings:- Transport Petrol oil, fares (bus, mini-bus, taxi, boa
trans_oil_id
Household ID of person responsible for purchases:- Transport Petrol oil, fares (
care_spent
Total spent in Shillings:- Personal care Toilet paper, toothpaste, hair products
care_id
Household ID of person responsible for purchases:- Personal care Toilet paper, t
batt_spent
Total spent in Shillings:- Batteries
batt_id
Household ID of person responsible for purchases:- Batteries
utilities_spent
Total spent in Shillings:- Utilities Electricity, water, garbage disposal, telephone
utilities_id
Household ID of person responsible for purchases:- Utilities Electricity, water
furniture_y_n
Beds, chairs, tables, sofas, mirrors, carpets:- Yes/No
furniture_tot_pay
2. Beds, chairs, tables, sofas, mirrors, carpets:- How much did your household p
furniture_id
3. Beds, chairs, tables, sofas, mirrors, carpets:- ID of the household member re
sheets_y_n
Sheets, blankets, pillows, towels, mosquito nets, curtains:- Yes/No
sheets_tot_pay
2. Sheets, blankets, pillows, towels, mosquito nets, curtains:- How much did your
sheets_id
3. Sheets, blankets, pillows, towels, mosquito nets, curtains:- ID of the household
stove_y_n
Stoves (anytype), cookers, refrigerator, fan, air conditioner, heater, radio, ph
stove_tot_pay
2. Stoves (anytype), cookers, refrigerator, fan, air conditioner, heater, radio,
stove_id
3. Stoves (anytype), cookers, refrigerator, fan, air conditioner, heater, radio,
torch_y_n
Torches, bulbs, lanterns, baskets, brooms, brushes:- Yes/No
torch_tot_pay
2. Torches, bulbs, lanterns, baskets, brooms, brushes:- How much did your househ
torch_id
3. Torches, bulbs, lanterns, baskets, brooms, brushes:- ID of the household memb
pots_y_n
Pots, pans, bowls, dishes, utensils, knives:- Yes/No
pots_tot_pay
2. Pots, pans, bowls, dishes, utensils, knives:- How much did your household pay
pots_id
3. Pots, pans, bowls, dishes, utensils, knives:- ID of the household member resp
repairs_y_n
Repairs to house, car, motorbike, bicycle, radio, TV etc.:- Yes/No
repairs_tot_pay
2. Repairs to house, car, motorbike, bicycle, radio, TV etc.:- How much did your
repairs_id
3. Repairs to house, car, motorbike, bicycle, radio, TV etc.:- ID of the househo
men_clothes_y_n
Khanzus, hats, trousers, shirts, coats, undergarments, socks, shoes:- Yes/No
men_clothes_tot_pay
2. Khanzus, hats, trousers, shirts, coats, undergarments, socks, shoes:- How muc
men_clothes_id
3. Khanzus, hats, trousers, shirts, coats, undergarments, socks, shoes:- ID of t
women_clothes_y_n
Khanga, kitenge, sarees, dresses, skirts, trousers, blouses, coats, undergarment
women_clothes_tot_pay
2. Khanga, kitenge, sarees, dresses, skirts, trousers, blouses, coats, undergarm
women_clothes_id
3. Khanga, kitenge, sarees, dresses, skirts, trousers, blouses, coats, undergarm
trousers_y_n
Trousers, dresses, skirts, shirts, blouses, socks, shoes:- Yes/No
trousers_tot_pay
2. Trousers, dresses, skirts, shirts, blouses, socks, shoes:- How much did your
trousers_id
3. Trousers, dresses, skirts, shirts, blouses, socks, shoes:- ID of the househol
sewing_y_n
Sewing material, umbrellas, gloves, handbags, purses, wallets, sunglasses, jewel
sewing_tot_pay
2. Sewing material, umbrellas, gloves, handbags, purses, wallets, sunglasses, je
sewing_id
3. Sewing material, umbrellas, gloves, handbags, purses, wallets, sunglasses, je
hospital_y_n
Hospitals, dispensaries, private doctors, dentistry (Excluding transport/food):-
hospital_tot_pay
2. Hospitals, dispensaries, private doctors, dentistry (Excluding transport/food
hospital_id
3. Hospitals, dispensaries, private doctors, dentistry (Excluding transport/food
medicine_y_n
Prescribed medicine, non - prescribed medicine:- Yes/No
medicine_tot_pay
2. Prescribed medicine, non - prescribed medicine:- How much did your household
medicine_id
3. Prescribed medicine, non - prescribed medicine:- ID of the household member r
healer_y_n
Traditional healers, traditional medicine:- Yes/No
healer_tot_pay
2. Traditional healers, traditional medicine:- How much did your household pay i
healer_id
3. Traditional healers, traditional medicine:- ID of the household member respon
school_y_n
School fees, uniform equipment (Excluding transport/food):- Yes/No
school_tot_pay
2. School fees, uniform equipment (Excluding transport/food):- How much did your
school_id
3. School fees, uniform equipment (Excluding transport/food):- ID of the househo
books_y_n
Books (not school books), magazines, newspapers, cassettes, cinema, sports equip
books_tot_pay
2. Books (not school books), magazines, newspapers, cassettes, cinema, sports eq
books_id
3. Books (not school books), magazines, newspapers, cassettes, cinema, sports eq
detergent_y_n
Detergents (not laundry soap), insecticides, sprays and coils, polish:- Yes/No
detergent_tot_pay
2. Detergents (not laundry soap), insecticides, sprays and coils, polish:- How m
detergent_id
3. Detergents (not laundry soap), insecticides, sprays and coils, polish:- ID of
relig_y_n
Contributions to religious and other organizations:- Yes/No
relig_tot_pay
2. Contributions to religious and other organizations:- How much did your househ
relig_id
3. Contributions to religious and other organizations:- ID of the household memb
wedding_y_n
Contribution to wedding parties and funerals, dowry payment:- Yes/No
wedding_tot_pay
2. Contribution to wedding parties and funerals, dowry payment:- How much did yo
wedding_id
3. Contribution to wedding parties and funerals, dowry payment:- ID of the house
taxes_y_n
Taxes:- Yes/No
taxes_tot_pay
2. Taxes:- How much did your household pay in total for (...) in the past 12 months
taxes_id
3. Taxes:- ID of the household member responsible for the purchase
insurance_y_n
Car, medical, life insurance:- Yes/No
insurance_tot_pay
2. Car, medical, life insurance:- How much did your household pay in total for (
insurance_id
3. Car, medical, life insurance:- ID of the household member responsible for the
workers_y_n
Payments given to domestic workers:- Yes/No
workers_tot_pay
2. Payments given to domestic workers:- How much did your household pay in total
workers_id
3. Payments given to domestic workers:- ID of the household member responsible f
Total: 277
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