Home / Central Data Catalog / TZA_2017_HBS_V01_M
central

Household Budget Survey 2017-2018

Tanzania, 2017 - 2018
Get Microdata
Reference ID
TZA_2017_HBS_v01_M
Producer(s)
National Bureau of Statistics
Metadata
DDI/XML JSON
Created on
Jan 16, 2021
Last modified
Jan 16, 2021
Page views
18955
Downloads
458

Data file: poverty

This dataset contains information on food consumption and food and non-food expenditures.

Cases: 9465
Variables: 200

Variables

interview__id
Unique 32-character long identifier of the interview
interview__key
Interview key (identifier in XX-XX-XX-XX format)
weight
Final post-stratification HH weigth
popweight
Final post-stratification Population weigth
weight_survey
HH weigth
popweight_survey
Population weigth
REGION
Region Name
DISTRICT
2. District Code
WARDCODE
3. Ward Code
WARDNAME
4. Ward/Shehia Name
VILLCODE
5. Village/Street code
VILLNAME
6. Village Name
EA
7. EA Code
EANAME
8. EA Name
HHNO
9. Household ID
INT_RESULT
14. Result of Interview
clustertype
CLUSTERTYPE
LOC
Location type (U/R)
LOC1
Location type
date
Diary date (yyyymm)
quarter
Quarter
hhsize
HH size
aeq
Adult equivalent HH size
ch5
No. of chidren aged 0-5
ch14
No. of chidren aged 0-14
adult
No. of adult aged 15+
elderly
No. of elderly aged 65+
hhhrel
Relationship to the HH head
hhhsex
Sex of HH head
hhhage
Age of HH head
hhhmarst
Marital status of HH head
hhheduc
Education level of HH head
hhhsocst
Social status of HH head
f_in1
Bread and cereals / B1, monthly cons. inside
f_in2
Meat / B1, monthly cons. inside
f_in3
Fish / B1, monthly cons. inside
f_in4
Milk, cheese and eggs / B1, monthly cons. inside
f_in5
Oils and fats / B1, monthly cons. inside
f_in6
Fruit / B1, monthly cons. inside
f_in7
Vegetables / B1, monthly cons. inside
f_in8
Sugar, jam, honey, chocolate and confectionery / B1, monthly cons. inside
f_in9
Food products n.e.c. / B1, monthly cons. inside
f_in10
Coffee, tea and cocoa / B1, monthly cons. inside
f_in11
Mineral waters, soft drinks, fruit and vegetable juices / B1, monthly cons. ins
food_in
Food consumption inside home / B1, monthly
xf_in1
Bread and cereals / B1, monthly cons. inside - CASH
xf_in2
Meat / B1, monthly cons. inside - CASH
xf_in3
Fish / B1, monthly cons. inside - CASH
xf_in4
Milk, cheese and eggs / B1, monthly cons. inside - CASH
xf_in5
Oils and fats / B1, monthly cons. inside - CASH
xf_in6
Fruit / B1, monthly cons. inside - CASH
xf_in7
Vegetables / B1, monthly cons. inside - CASH
xf_in8
Sugar, jam, honey, chocolate and confectionery / B1, monthly cons. inside - CAS
xf_in9
Food products n.e.c. / B1, monthly cons. inside - CASH
xf_in10
Coffee, tea and cocoa / B1, monthly cons. inside - CASH
xf_in11
Mineral waters, soft drinks, fruit and vegetable juices / B1, monthly cons. ins
x_food_in
Food consumption inside home - purchases / B1, monthly
kf_in1
Bread and cereals / B1, monthly cons. inside - IN KIND
kf_in2
Meat / B1, monthly cons. inside - IN KIND
kf_in3
Fish / B1, monthly cons. inside - IN KIND
kf_in4
Milk, cheese and eggs / B1, monthly cons. inside - IN KIND
kf_in5
Oils and fats / B1, monthly cons. inside - IN KIND
kf_in6
Fruit / B1, monthly cons. inside - IN KIND
kf_in7
Vegetables / B1, monthly cons. inside - IN KIND
kf_in8
Sugar, jam, honey, chocolate and confectionery / B1, monthly cons. inside - IN
kf_in9
Food products n.e.c. / B1, monthly cons. inside - IN KIND
kf_in10
Coffee, tea and cocoa / B1, monthly cons. inside - IN KIND
kf_in11
Mineral waters, soft drinks, fruit and vegetable juices / B1, monthly cons. ins
k_food_in
Food consumption inside home - not purchased (own production, received etc.) /
food_out
Eating outside home / B3, monthly
f_exp1
Bread and cereals / A1, monthly exp.
f_exp2
Meat / A1, monthly exp.
f_exp3
Fish / A1, monthly exp.
f_exp4
Milk, cheese and eggs / A1, monthly exp.
f_exp5
Oils and fats / A1, monthly exp.
f_exp6
Fruit / A1, monthly exp.
f_exp7
Vegetables / A1, monthly exp.
f_exp8
Sugar, jam, honey, chocolate and confectionery / A1, monthly exp.
f_exp9
Food products n.e.c. / A1, monthly exp.
f_exp10
Coffee, tea and cocoa / A1, monthly exp.
f_exp11
Mineral waters, soft drinks, fruit and vegetable juices / A1, monthly exp.
food_exp
Food expenditures / A1, monthly
xf_exp1
Bread and cereals / A1, monthly exp. - CASH
xf_exp2
Meat / A1, monthly exp. - CASH
xf_exp3
Fish / A1, monthly exp. - CASH
xf_exp4
Milk, cheese and eggs / A1, monthly exp. - CASH
xf_exp5
Oils and fats / A1, monthly exp. - CASH
xf_exp6
Fruit / A1, monthly exp. - CASH
xf_exp7
Vegetables / A1, monthly exp. - CASH
xf_exp8
Sugar, jam, honey, chocolate and confectionery / A1, monthly exp. - CASH
xf_exp9
Food products n.e.c. / A1, monthly exp. - CASH
xf_exp10
Coffee, tea and cocoa / A1, monthly exp. - CASH
xf_exp11
Mineral waters, soft drinks, fruit and vegetable juices / A1, monthly exp. - CA
x_food_exp
Food expenditures - purchased / A1, monthly
kf_exp1
Bread and cereals / A1, monthly exp. - IN KIND
kf_exp2
Meat / A1, monthly exp. - IN KIND
kf_exp3
Fish / A1, monthly exp. - IN KIND
kf_exp4
Milk, cheese and eggs / A1, monthly exp. - IN KIND
kf_exp5
Oils and fats / A1, monthly exp. - IN KIND
kf_exp6
Fruit / A1, monthly exp. - IN KIND
kf_exp7
Vegetables / A1, monthly exp. - IN KIND
kf_exp8
Sugar, jam, honey, chocolate and confectionery / A1, monthly exp. - IN KIND
kf_exp9
Food products n.e.c. / A1, monthly exp. - IN KIND
kf_exp10
Coffee, tea and cocoa / A1, monthly exp. - IN KIND
kf_exp11
Mineral waters, soft drinks, fruit and vegetable juices / A1, monthly exp. - IN
k_food_exp
Food expenditures - not purchased (own production, received etc.) / A1, monthly
diary_nf2
Alcohol and Tobacco / DIARY, monthly
diary_nf3
Clothing and footwear / DIARY, monthly
diary_nf4
Housing, water, electricity, gas and other fuels / DIARY, monthly
diary_nf5
Furnishings, household equip., maintenance of the house / DIARY, monthly
diary_nf6
Health / DIARY, monthly
diary_nf7
Transport / DIARY, monthly
diary_nf8
Communication / DIARY, monthly
diary_nf9
Recreation and culture / DIARY, monthly
diary_nf10
Education / DIARY, monthly
diary_nf11
Restaurants and hotels / DIARY, monthly
diary_nf12
Miscellaneous goods and services / DIARY, monthly
diary_nf_oth
Other non-food expenditures / DIARY, monthly
diary_nf_dur
Durables / DIARY, monthly
nf_diary
Non-food expenditures from DIARY (nf2-12), excl.durables etc. / A2, monthly
form2_nf3
Clothing and footwear / FORM2, monthly
form2_nf4
Housing, water, electricity, gas and other fuels / FORM2, monthly
form2_nf5
Furnishings, household equip., maintenance of the house / FORM2, monthly
form2_nf6
Health / FORM2, monthly
form2_nf7
Transport / FORM2, monthly
form2_nf8
Communication / FORM2, monthly
form2_nf9
Recreation and culture / FORM2, monthly
form2_nf10
Education / FORM2, monthly
form2_nf11
Restaurants and hotels / FORM2, monthly
form2_nf12
Miscellaneous goods and services / FORM2, monthly
form2_nf_oth
Durables / FORM2, monthly
form2_nf_dur
Other non-food expenditures / FORM2, monthly
nf_form2
Non-food expenditures from FORM2 (nf3-12), excl.durables etc./ monthly
nf2
Alcohol and Tobacco, monthly
nf3
Clothing and footwear, monthly
nf4
Housing, water, electricity, gas and other fuels, monthly
nf5
Furnishings, household equip., maintenance of the house, monthly
nf6
Health, monthly
nf7
Transport, monthly
nf8
Communication, monthly
nf9
Recreation and culture, monthly
nf10
Education, monthly
nf11
Restaurants and hotels, monthly
nf12
Miscellaneous goods and services, monthly
other_exp
Durables, monthly
dur
Other non-food expenditures, monthly
v_water_imputed_med
Water imputed (by median), monthly
v_water_imputed_mean
Water imputed (by mean), monthly
v_water_f_imputed_med
F/Water imputed (by median), monthly
v_water_f_imputed_mean
F/Water imputed (by mean), monthly
v_water_nf_imputed_med
NF/Water imputed (by median), monthly
v_water_nf_imputed_mean
NF/Water imputed (by mean), monthly
nfoodc
Total non-food consumption (nf2-nf12),(excl. dur,hosp,cerem,maint,rents,investm,
actual_rent
Actual monthly rent (Main and Secondary)
implicite_rent
Implicite monthly rent (Main and Secondary)
investm
Investments (Form2, Q22.01), monthly
loans
Life insurance, Loans, etc. (Form2, Q21.08), monthly
nfoodx
Total non-food expenditures (incl. dur,hosp,cerem,maint,rents,investm,loans), mo
foodc
Total food consumption (food_in+food_out), monthly
foodc_x
Food consumption - cash (x_food_in+food_out), monthly
foodc_k
Food consumption - in kind (k_food_in), monthly
foodx
Total food expenditures (food_exp + food_out), monthly
foodx_x
Total food expenditures - cash (x_food_exp + food_out), monthly
totx
Total hh expenditures, monthly
totc
Total hh consumption, monthly
aef
Food consumption per equivalent adults, monthly
aenf
Non-food consumption per equivalent adults, monthly
aec
Consumption per equivalent adults, monthly
aex
Expenditures per equivalent adults, monthly
aefd
Food consumption per equivalent adults, monthly, spatially and temporally deflat
aenfd
Nonfood consumption per equivalent adults, monthly, spatially and temporally de
aecd
Consumption per equivalent adults, monthly, spatially and temporally deflated
paasche_mean_r
paasche_med_r
paasche_mean_q
paasche_med_q
decile
Deciles per adults equivalent consumption
xx
fld
Food line day 2200Kcal/day estimated with median prices
N
Number of products in the 2200Kcal/day basket
fshare
fl
Food poverty line monthly per adult equivalent
xxx1
xxx2
refpop1
refpop2
fsh_low
Food share in lower poverty line
fsh_up
Food share in upper poverty line
pl_low
Lower Poverty line monthly per adult equivalent
pl_up
Upper Poverty line monthly per adult equivalent
fps
Food poverty incidence
ps_low
Lower Poverty Incidence
ps_up
Upper Poverty Incidence
fpg
Extreme poverty gap
pg_low
Lower Poverty gap
pg_up
Upper Poverty gap
fpsg
Severity of extreme poverty
psg_low
Lower Severity of poverty
psg_up
Upper Severity of poverty
hhid
Total: 200
Back to Catalog