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    Home / Central Data Catalog / DATAFIRST / ZMB_2015_FSDZ_V01_M / variable [V437]
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FinScope 2015, Financial Inclusion

Zambia, 2015
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Reference ID
ZMB_2015_FSDZ_v01_M
Producer(s)
Financial Sector Deepening Zambia
Collection(s)
DataFirst , University of Cape Town, South Africa
Metadata
DDI/XML JSON
Study website
Created on
Oct 16, 2019
Last modified
Oct 16, 2019
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  • Study Description
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  • zmb-zambia-finscope-2015-v1.1-stata11

5.10a. Goods/services received on credit [Other (specify)] (Q5_10A_oth_s)

Data file: zmb-zambia-finscope-2015-v1.1-stata11

Overview

Valid: 340
Invalid: 0
Type: Discrete
Start: 3774
End: 3838
Width: 65
Range: -
Format: character

Questions and instructions

Categories
Value Category Cases
A Carpet 1
0.3%
A basin for washing clothes 1
0.3%
A big dish 1
0.3%
A dish 1
0.3%
A sofa set 1
0.3%
African Broom 1
0.3%
Airtime 1
0.3%
Alcohol 1
0.3%
Batteries 1
0.3%
Battery 1
0.3%
Bed cover 1
0.3%
Beddings 1
0.3%
Blancket 1
0.3%
Blanket 2
0.6%
Books and Shoes and uniforms 1
0.3%
Bought floor polish for the house 1
0.3%
Carpet . 1
0.3%
Chemicals for the business 1
0.3%
Chitenge materials 1
0.3%
Cooking material 1
0.3%
Cooking utensils 2
0.6%
Cups. 1
0.3%
Curtains 1
0.3%
DID NOT BORROW. 1
0.3%
DID NOT BUY GOODS ON CREDIT 1
0.3%
Dish to use for storing water 1
0.3%
Dishes and plates 1
0.3%
Dishes to pack plates 1
0.3%
Duvet blanket 1
0.3%
Electrical wheel chair 1
0.3%
Fertilizer 1
0.3%
Floor mat 1
0.3%
Flour polishing (cobra) 1
0.3%
Fuel 1
0.3%
Fuel for the car 1
0.3%
Furniture 1
0.3%
Goats. 1
0.3%
Got nothing in advance 1
0.3%
Got some meat 1
0.3%
HE DID NOT GET THINGS ON CREDIT 1
0.3%
Hand Basin 1
0.3%
He did not get any goods in advance but this question has come up 1
0.3%
He didn't get anything. 1
0.3%
Household goods e.g. pots 1
0.3%
Household goods like pots,plates and dishes 1
0.3%
I did not get any goods 1
0.3%
I got money 1
0.3%
I got plets 1
0.3%
I got pots 1
0.3%
Kitchen Dishes 1
0.3%
Kitchen utensils 3
0.9%
Laptop 1
0.3%
Lotion 1
0.3%
Mattress 1
0.3%
Mealiemeal 1
0.3%
Medical Services 1
0.3%
Medical services 1
0.3%
Money 1
0.3%
Music studio hybrid speakers 1
0.3%
Plates 2
0.6%
Plates and basins. 1
0.3%
Plates and dishes 1
0.3%
Plates and washing dishes 1
0.3%
Plates,Cups. 1
0.3%
Pots 1
0.3%
Pots and plates 1
0.3%
Radio 2
0.6%
Respondent got a bed on loan 1
0.3%
Shoes 1
0.3%
Soap And Lotion 1
0.3%
T.V 1
0.3%
TV 1
0.3%
Tablet 1
0.3%
Television 1
0.3%
Tv 1
0.3%
Washin Dishes and plates 1
0.3%
Washing paste. 1
0.3%
a bucket 1
0.3%
a dish. 1
0.3%
a mat 2
0.6%
a red mat 1
0.3%
a tool used for shaping and smoothing wood 1
0.3%
a washing dish 1
0.3%
air time 1
0.3%
basin 1
0.3%
basins 1
0.3%
bathing and washing dishes 1
0.3%
bathing tab. 1
0.3%
bathing tube 1
0.3%
batteries 1
0.3%
battery 2
0.6%
bed 2
0.6%
bed cover 1
0.3%
bed, kitchen unit 1
0.3%
beddings 2
0.6%
bedings 1
0.3%
bedsheets 1
0.3%
blanket 2
0.6%
blankets 4
1.2%
blankets only 1
0.3%
books 1
0.3%
books and pencils 1
0.3%
books and pens 1
0.3%
books for my brothers 1
0.3%
books for school 1
0.3%
bought a tyre for the bycicle 1
0.3%
bucket 2
0.6%
bucket for storing water 1
0.3%
building material such as roofing sheets 1
0.3%
business inputes 1
0.3%
buttery 1
0.3%
buy food 1
0.3%
buying shares in the company. Ken movies 1
0.3%
car tyres 1
0.3%
carpet 6
1.8%
chairs 1
0.3%
chairs. 1
0.3%
charcoal 1
0.3%
chickens 1
0.3%
cigarette 1
0.3%
collection of my money from my customers 1
0.3%
computer 2
0.6%
cooking pot 1
0.3%
cosmetic 1
0.3%
cosmetics 1
0.3%
couch 1
0.3%
cups 1
0.3%
curtain 1
0.3%
curtains 14
4.1%
did not get any goods or start any services 1
0.3%
didn't go there 1
0.3%
dish 2
0.6%
dish for washing hands 1
0.3%
dish we use to wash 1
0.3%
dishes 3
0.9%
don't. borrow from anywhere 1
0.3%
door mats 1
0.3%
drum 1
0.3%
duvet 1
0.3%
education 1
0.3%
electrical wire 1
0.3%
food 1
0.3%
fruit stand 1
0.3%
generator 1
0.3%
glass cups 1
0.3%
goats 1
0.3%
got a bucket also on credit 1
0.3%
got a dish to use to bath in 1
0.3%
got lotion, soap on credit 1
0.3%
got plates. 1
0.3%
got pots. 1
0.3%
groceries 1
0.3%
has forgotten 1
0.3%
he buys sofas 1
0.3%
he got meat 1
0.3%
house materials for building like grass and poles 1
0.3%
household things 1
0.3%
i had gotern a dish for my wife 1
0.3%
inverter 1
0.3%
iron bars 1
0.3%
irrelevant question 1
0.3%
kitchen intensils 2
0.6%
kitchen pots 2
0.6%
kitchen utensils 4
1.2%
kitchen ware 2
0.6%
laptop 1
0.3%
livestock 1
0.3%
lotion, soap 1
0.3%
m 1
0.3%
matress 2
0.6%
mattress 1
0.3%
mattress. 1
0.3%
meal mill 1
0.3%
medical purposes 1
0.3%
mirror and curtains 1
0.3%
mobile phone 3
0.9%
money 3
0.9%
never borowed 1
0.3%
never got any goods on credit 1
0.3%
nothing 2
0.6%
nursing textbook 1
0.3%
pants for her children 1
0.3%
paper 1
0.3%
perfume 1
0.3%
phone 4
1.2%
planks 1
0.3%
plasma TV 1
0.3%
plastic bucket 1
0.3%
plates 9
2.6%
plates and cups 1
0.3%
plates and slippers 1
0.3%
plates for household use 1
0.3%
plates. 1
0.3%
pots 11
3.2%
pots and other things. 1
0.3%
pots and plates 2
0.6%
pots, 1
0.3%
puma blanket 1
0.3%
radio 3
0.9%
radio and tv 1
0.3%
rat trap 1
0.3%
rentals 1
0.3%
rice 1
0.3%
school books 1
0.3%
school exercise books and bags 1
0.3%
school items like bags and uniforms 1
0.3%
school shoes for the children 1
0.3%
shaving machine for barbershop 1
0.3%
she did not 1
0.3%
she did not get a loan 1
0.3%
she did not get any goods in the past 12months 1
0.3%
she got a bucket 1
0.3%
shoes 7
2.1%
shoes, other clothes 1
0.3%
shoes. 1
0.3%
slippers (shoes) 1
0.3%
soap 7
2.1%
soap and lotion 1
0.3%
soap and lotion. 1
0.3%
sofa 1
0.3%
solar 1
0.3%
solar panel 1
0.3%
speakers 1
0.3%
stationary school equipment. 1
0.3%
stock Grocerie shop 1
0.3%
stove 2
0.6%
t.v. 2
0.6%
t.v. radio 1
0.3%
t.v. unit 1
0.3%
table and tv's stand 1
0.3%
table clothes. 1
0.3%
text books 1
0.3%
the people who built har house. 1
0.3%
to take my younger sister to school 1
0.3%
trey. 1
0.3%
tv 2
0.6%
tv and matres 1
0.3%
vehicle 1
0.3%
wardrobe 1
0.3%
warmers 1
0.3%
wash basins 4
1.2%
washing dish 2
0.6%
washing paste 1
0.3%
washing tab 1
0.3%
water dispenser 1
0.3%
window curtains 1
0.3%
wiring of the house 1
0.3%
workshop materials 1
0.3%
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.
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