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Greater Eldoret Health and Development Survey (Round 1) 2004

Kenya, 2004
Markus Goldstein and Harsha Thirumurthy
Created on June 01, 2022 Last modified June 01, 2022 Page views 1395915 Metadata DDI/XML JSON
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What type of business - Description (seb02a)

Data file: income

Overview

Valid: 352
Invalid: 0
Type: Discrete
Width: 10
Range: -
Format: character

Questions and instructions

Literal question
What type of business or self-employment did [NAME] work at in the past 7 days? What kind of trade, industry or business is it connected with? Description.
Categories
Value Category Cases
98 1
0.3%
A TRADER 2
0.6%
AGRO-CHEM 1
0.3%
B&S CATTLE 2
0.6%
B&S CLOTHS 1
0.3%
B&S COAL 1
0.3%
B&S COWS 1
0.3%
B&S MAIZE 1
0.3%
B&S MILK 2
0.6%
B&S SHOES 1
0.3%
B&S VEGES 1
0.3%
B/S BEANS 2
0.6%
B/S CARS 1
0.3%
B/S CATTLE 2
0.6%
B/S COWS 1
0.3%
B/S MAIZE 3
0.9%
B/S MILK 1
0.3%
B/S OIL 1
0.3%
B/S ORANGE 1
0.3%
B/S SHEEP 1
0.3%
B/S VEG 1
0.3%
B/S VEGES 4
1.1%
BAKER 1
0.3%
BAR 1
0.3%
BARBER 1
0.3%
BARBERSHOP 1
0.3%
BAT CHARGE 1
0.3%
BICYCLES 1
0.3%
BODA BODA 2
0.6%
BODABODA 2
0.6%
BOOKSHOP 1
0.3%
BOUTIQUE 2
0.6%
BREW 1
0.3%
BREWING 24
6.8%
BRICK BUSS 1
0.3%
BRICK MAKE 1
0.3%
BUTCHER 1
0.3%
BUTCHERY 4
1.1%
C/DEALER 1
0.3%
CAPENTER 1
0.3%
CARPENTER 1
0.3%
CARPENTRY 3
0.9%
CATTLE 1
0.3%
CHANGAA 1
0.3%
CHARCOAL 8
2.3%
CHARCOAL B 1
0.3%
CHEMIST 1
0.3%
CHICKEN 4
1.1%
COL MILK 1
0.3%
D/TIMBER 1
0.3%
DAIRYKIOSK 1
0.3%
DEALER 1
0.3%
DISTRIBUTO 1
0.3%
DRESS MAKE 1
0.3%
DUKA 3
0.9%
EGG VENDOR 1
0.3%
ELECTRICIA 2
0.6%
GROCERY 3
0.9%
GROUNDSMAN 1
0.3%
H CLINIC 1
0.3%
HARDWARE 3
0.9%
HOTEL 4
1.1%
KINYOZI 1
0.3%
KIOSK 31
8.8%
LANDLORD 1
0.3%
LIVESTOCK 2
0.6%
LUMBERING 2
0.6%
M/DRIVER 1
0.3%
M/SELLER 2
0.6%
M/VENDOR 1
0.3%
MAIZE 1
0.3%
MAIZE TRAD 1
0.3%
MATATU 2
0.6%
MECHANIC 1
0.3%
MILK 2
0.6%
MILK TRADE 3
0.9%
MILK VENDE 1
0.3%
MILKSUPPLY 1
0.3%
MILKVENDER 1
0.3%
MILKVENDOR 3
0.9%
MILLER 1
0.3%
MITUMBA 3
0.9%
P STATION 1
0.3%
P&S TIMBER 1
0.3%
PHOTOGRAPH 2
0.6%
PLAITING 1
0.3%
PLOUGHING 5
1.4%
POSHO MILL 5
1.4%
POSHOMILL 2
0.6%
POSHOMILLS 1
0.3%
RENT HOUSE 3
0.9%
RENTAL HSE 2
0.6%
RETAIL 3
0.9%
ROASTMAIZE 1
0.3%
RUNS HOTEL 2
0.6%
RUNS KIOSK 1
0.3%
S ALCOHOL 2
0.6%
S LIVESTOC 1
0.3%
S MANDAZI 1
0.3%
S PORRIDGE 1
0.3%
S SAMOSAS 1
0.3%
S TIMBER 1
0.3%
S/KEROSENE 1
0.3%
SALE JEMBE 1
0.3%
SALESMAN 2
0.6%
SALONIST 1
0.3%
SAMOSA 1
0.3%
SEL BUSAA 1
0.3%
SELL CLOTH 3
0.9%
SELL EGGS 1
0.3%
SELL FOOD 2
0.6%
SELL FRUIT 1
0.3%
SELL GRAIN 1
0.3%
SELL MAIZE 5
1.4%
SELL MATS 1
0.3%
SELL MILK 2
0.6%
SELL OIL 1
0.3%
SELL ROPES 1
0.3%
SELL SAMSA 1
0.3%
SELL SEEDS 1
0.3%
SELL SHOES 1
0.3%
SELL SNACK 1
0.3%
SELL SODAS 1
0.3%
SELL VEG 3
0.9%
SELL VEGES 5
1.4%
SELLCLOTHS 1
0.3%
SELLER 1
0.3%
SELLS BREW 1
0.3%
SELLS MILK 2
0.6%
SHEEP TRAD 1
0.3%
SHOE MAKER 1
0.3%
SHOE REPAI 1
0.3%
SHOESHINER 1
0.3%
SHOP 6
1.7%
SHOPKEEPER 14
4%
TAILOR 8
2.3%
TAILORING 1
0.3%
TAXI DRIVE 1
0.3%
TEA LEAVES 1
0.3%
TEA SALE 1
0.3%
TIMBER 3
0.9%
TIMBER TRA 1
0.3%
TRADE 1
0.3%
TRADER 9
2.6%
TRADING 1
0.3%
TRANSPORT 1
0.3%
UTENSILS 1
0.3%
V/SELLER 1
0.3%
VEG SELLER 8
2.3%
VEG TRADER 1
0.3%
VEG VENDER 16
4.5%
VEG VENDOR 4
1.1%
VENDER 1
0.3%
VENDOR 2
0.6%
VIL ELDER 1
0.3%
W REPAIR 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.
var_qstn_ivuinstr
As discussed earlier, please write an exact description of the respondent's job. Then select the occupation code that is closest to that job. Do not copy the name of the code in the description column.
Question post text
If more than 1, begin with the one in which the most time is spent.

Description

Universe
All household members 8 years and older who did non-farm work in a business belonging to the household in the past 7 days.
Source of information
Primary male respondent