- Data files
- aghead_a
- aghead_b
- aghead_c
- aghead_d
- aghead_e
- aghead_e1_2
- agspouse_a
- agspouse_b
- agspouse_c
- agspouse_c_2
- anthrop_a
- anthrop_b
- anthrop_c
- assets
- assets_I8
- assets_I12
- assets_I17
- assets_II
- assets_II5
- assets_II11
- assets_III
- assets_III7
- assets_III13
- assets_IV
- assets_V
- assets_V6
- assets_V12
- assets_VI
- behavior
- behavior_c5
- food
- health_c
- health_c_I
- health_c_II
- health_c_III
- health_c_IV
- identification
- iroster
- othexp
- polygamoushh
- shocks
- shocks_a3
- shocks_a7
- shocks_a11
- shocks_a15
- shocks_a19
- shocks_a24
- shocks_a27
- shocks_b30
- shocks_b33
- shocks_b36
- shocks_b40
- shocks_c44
- shocks_c49
- shocks_c53
- timealloc
- transfers
- transfers_a3
- transfers_a9
- transfers_a16
- transfers_b3
- youth
- hh_roster
- education
- educexp
- health
- income
- transfers_d
- enterprise
What did in main job in past 12 months - Description (mj02a)
Data file: income
Overview
Valid:
3786
Invalid:
0
Type:
Discrete
Width:
10
Range:
-
Format:
character
Questions and instructions
Literal question
What did [NAME] do in his/her main job or activity in the past 12 months? What did [NAME] do in this work? What kind of occupation or trade is it connected with? Description.
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 99 | 1 |
0%
|
|
| A FARMER | 41 |
1.1%
|
|
| A FARMING | 47 |
1.2%
|
|
| A KEEPING | 3 |
0.1%
|
|
| A P | 1 |
0%
|
|
| A TRADER | 3 |
0.1%
|
|
| A/ATTENDAN | 1 |
0%
|
|
| A/CARE | 1 |
0%
|
|
| A/FARM | 14 |
0.4%
|
|
| A/FARMER | 14 |
0.4%
|
|
| A/FARMING | 12 |
0.3%
|
|
| A/POLICE | 2 |
0.1%
|
|
| ACC CLERK | 1 |
0%
|
|
| ACC/CLERK | 1 |
0%
|
|
| ACCOUNTANT | 1 |
0%
|
|
| ADMINISTRA | 1 |
0%
|
|
| AGRI ADVIS | 1 |
0%
|
|
| AGRO-CHEM | 1 |
0%
|
|
| AH OFFICER | 1 |
0%
|
|
| ANIMAL | 1 |
0%
|
|
| ATHLETEE | 1 |
0%
|
|
| ATTENDANT | 3 |
0.1%
|
|
| B&S CATTLE | 1 |
0%
|
|
| B&S FISH | 1 |
0%
|
|
| B&S MILK | 1 |
0%
|
|
| B&S SHOES | 1 |
0%
|
|
| B/S CATTLE | 2 |
0.1%
|
|
| B/S GOODS | 1 |
0%
|
|
| B/S MAIZE | 1 |
0%
|
|
| B/S MILK | 1 |
0%
|
|
| B/S OIL | 1 |
0%
|
|
| B/S SHEEP | 1 |
0%
|
|
| B/S VEGES | 2 |
0.1%
|
|
| BAKERY | 1 |
0%
|
|
| BAR MAID | 1 |
0%
|
|
| BARBER | 2 |
0.1%
|
|
| BICYCLES | 1 |
0%
|
|
| BODA BODA | 2 |
0.1%
|
|
| BODABODA | 5 |
0.1%
|
|
| BOOKSHOP | 1 |
0%
|
|
| BOUTIQUE | 2 |
0.1%
|
|
| BREWING | 16 |
0.4%
|
|
| BRICK BUSS | 1 |
0%
|
|
| BUILDER | 1 |
0%
|
|
| BURSAR | 1 |
0%
|
|
| BUSINESS | 12 |
0.3%
|
|
| BUTCHER | 1 |
0%
|
|
| BUTCHERY | 2 |
0.1%
|
|
| C FARMER | 103 |
2.7%
|
|
| C FARMING | 226 |
6%
|
|
| C HOUSES | 1 |
0%
|
|
| C/DEALER | 1 |
0%
|
|
| C/FARM | 27 |
0.7%
|
|
| C/FARMER | 79 |
2.1%
|
|
| C/FARMING | 94 |
2.5%
|
|
| C/WEEDING | 1 |
0%
|
|
| CAPENTER | 2 |
0.1%
|
|
| CARPENTER | 2 |
0.1%
|
|
| CARPENTRY | 2 |
0.1%
|
|
| CASUAL | 18 |
0.5%
|
|
| CASUAL JOB | 3 |
0.1%
|
|
| CASUAL LAB | 2 |
0.1%
|
|
| CASUALWORK | 26 |
0.7%
|
|
| CATERESS | 1 |
0%
|
|
| CATTLE | 1 |
0%
|
|
| CHANGAA | 2 |
0.1%
|
|
| CHARCOAL | 8 |
0.2%
|
|
| CHARCOAL B | 1 |
0%
|
|
| CHARCOAL/B | 1 |
0%
|
|
| CHEF | 1 |
0%
|
|
| CHEMIST | 1 |
0%
|
|
| CHICKEN | 3 |
0.1%
|
|
| CHIEF | 1 |
0%
|
|
| CHILD CARE | 1 |
0%
|
|
| CHOPPING | 1 |
0%
|
|
| CLEANER | 3 |
0.1%
|
|
| CLERGYMAN | 1 |
0%
|
|
| CLERICAL | 2 |
0.1%
|
|
| CLERK | 3 |
0.1%
|
|
| CLOTHES | 1 |
0%
|
|
| CON/WORKER | 1 |
0%
|
|
| CONDUCTOR | 1 |
0%
|
|
| CONSTRUCT | 1 |
0%
|
|
| CONSTRUCTI | 3 |
0.1%
|
|
| CONSTRUCTO | 1 |
0%
|
|
| COOK | 7 |
0.2%
|
|
| COW TRADER | 1 |
0%
|
|
| CROP FARM | 20 |
0.5%
|
|
| CUT TREES | 1 |
0%
|
|
| D/BOREHOLE | 1 |
0%
|
|
| D/WORKER | 2 |
0.1%
|
|
| DIGGING | 1 |
0%
|
|
| DISHWASHER | 1 |
0%
|
|
| DISTRIBUTO | 1 |
0%
|
|
| DOME WORK | 8 |
0.2%
|
|
| DOMESTIC | 7 |
0.2%
|
|
| DRIVER | 22 |
0.6%
|
|
| DRIVING | 2 |
0.1%
|
|
| DUKA | 1 |
0%
|
|
| EGG VENDER | 1 |
0%
|
|
| EIS | 1 |
0%
|
|
| ELECTRICAL | 1 |
0%
|
|
| ELECTRICIA | 2 |
0.1%
|
|
| EMPLOYEE | 3 |
0.1%
|
|
| ENGINEER | 2 |
0.1%
|
|
| F/LABOUR | 1 |
0%
|
|
| FARM WORK | 7 |
0.2%
|
|
| FARMER | 29 |
0.8%
|
|
| FARMING | 208 |
5.5%
|
|
| FARMLABOUR | 2 |
0.1%
|
|
| FEED PIGS | 1 |
0%
|
|
| FOOTBALLER | 1 |
0%
|
|
| FOREMAN | 1 |
0%
|
|
| FRONT DESK | 1 |
0%
|
|
| GOVERNMENT | 1 |
0%
|
|
| GROUNDSMAN | 1 |
0%
|
|
| GSU | 1 |
0%
|
|
| H2O SUPPLY | 1 |
0%
|
|
| HAIR DRESS | 1 |
0%
|
|
| HARDWARE | 2 |
0.1%
|
|
| HAWKER | 1 |
0%
|
|
| HEADMAN | 1 |
0%
|
|
| HERBALIST | 1 |
0%
|
|
| HERDING | 2 |
0.1%
|
|
| HERDSBOY | 9 |
0.2%
|
|
| HERDSMAN | 6 |
0.2%
|
|
| HERDSWOMAN | 1 |
0%
|
|
| HOTEL | 3 |
0.1%
|
|
| HOTELWORK | 1 |
0%
|
|
| HOUSE MAID | 1 |
0%
|
|
| HOUSEGIRL | 2 |
0.1%
|
|
| HOUSEHELP | 12 |
0.3%
|
|
| HOUSEHOLD | 3 |
0.1%
|
|
| HOUSEMAID | 2 |
0.1%
|
|
| HOUSEWIFE | 159 |
4.2%
|
|
| HOUSEWORK | 298 |
7.9%
|
|
| IT | 1 |
0%
|
|
| JOBSEEKING | 1 |
0%
|
|
| KEEPANIMAL | 1 |
0%
|
|
| KENYA ARMY | 1 |
0%
|
|
| KINYOZI | 1 |
0%
|
|
| KIOSK | 20 |
0.5%
|
|
| LABOURER | 2 |
0.1%
|
|
| LS OFFICER | 1 |
0%
|
|
| LUMBERING | 3 |
0.1%
|
|
| M FARMER | 3 |
0.1%
|
|
| M/DRIVER | 1 |
0%
|
|
| M/FARMER | 1 |
0%
|
|
| M/SELLER | 1 |
0%
|
|
| M/VENDOR | 1 |
0%
|
|
| MAID | 2 |
0.1%
|
|
| MANAGER | 4 |
0.1%
|
|
| MANDAZI | 1 |
0%
|
|
| MASON | 2 |
0.1%
|
|
| MASONARY | 6 |
0.2%
|
|
| MATATU | 2 |
0.1%
|
|
| MATATU CON | 1 |
0%
|
|
| MATATU DRI | 1 |
0%
|
|
| MATRON | 1 |
0%
|
|
| MECHANIC | 2 |
0.1%
|
|
| MESSANGER | 1 |
0%
|
|
| MESSENGER | 1 |
0%
|
|
| MILITARY | 6 |
0.2%
|
|
| MILK | 1 |
0%
|
|
| MILK TRADE | 2 |
0.1%
|
|
| MILK VENDE | 1 |
0%
|
|
| MILKVENDER | 1 |
0%
|
|
| MILKVENDOR | 1 |
0%
|
|
| MILLER | 1 |
0%
|
|
| MILLING | 1 |
0%
|
|
| MILLITARY | 1 |
0%
|
|
| MITUMBA | 4 |
0.1%
|
|
| NO ACT | 48 |
1.3%
|
|
| NO JOB | 3 |
0.1%
|
|
| NO WORK | 1 |
0%
|
|
| NOACTIVITY | 3 |
0.1%
|
|
| NURSE | 3 |
0.1%
|
|
| NURSE AID | 1 |
0%
|
|
| OFFICER | 5 |
0.1%
|
|
| OPERATOR | 3 |
0.1%
|
|
| P TIMBER | 1 |
0%
|
|
| PASTOR | 1 |
0%
|
|
| PASTORESS | 1 |
0%
|
|
| PHOTOGRAPH | 1 |
0%
|
|
| PICK TEA | 10 |
0.3%
|
|
| PICKINGTEA | 5 |
0.1%
|
|
| PLAITING | 1 |
0%
|
|
| PLANTGRASS | 1 |
0%
|
|
| POLICE | 7 |
0.2%
|
|
| POLICEMAN | 6 |
0.2%
|
|
| POSHO MILL | 6 |
0.2%
|
|
| POSHOMILL | 2 |
0.1%
|
|
| POST OFFIC | 1 |
0%
|
|
| PRE WELLS | 1 |
0%
|
|
| PREACHER | 2 |
0.1%
|
|
| PRINTING | 1 |
0%
|
|
| PUBLICWORK | 1 |
0%
|
|
| QUARRY | 1 |
0%
|
|
| R/VENDOR | 1 |
0%
|
|
| RENT HOUSE | 2 |
0.1%
|
|
| RENTAL HSE | 1 |
0%
|
|
| RENTALS | 1 |
0%
|
|
| RETRENCHED | 1 |
0%
|
|
| ROASTMAIZE | 1 |
0%
|
|
| RUNS HOTEL | 1 |
0%
|
|
| RUNS KIOSK | 2 |
0.1%
|
|
| S ALCOHOL | 1 |
0%
|
|
| S LIVESTOC | 1 |
0%
|
|
| S LOAVES | 1 |
0%
|
|
| S SAMOSAS | 1 |
0%
|
|
| S TIMBER | 1 |
0%
|
|
| S/VEGES | 1 |
0%
|
|
| SALE COWS | 1 |
0%
|
|
| SALESMAN | 5 |
0.1%
|
|
| SALONIST | 1 |
0%
|
|
| SALOON | 1 |
0%
|
|
| SALOONIST | 6 |
0.2%
|
|
| SCH COOK | 1 |
0%
|
|
| SCHOOL | 181 |
4.8%
|
|
| SCHOOLING | 269 |
7.1%
|
|
| SECRETARY | 5 |
0.1%
|
|
| SECURICOR | 2 |
0.1%
|
|
| SECURITY | 6 |
0.2%
|
|
| SEL CLOTHS | 1 |
0%
|
|
| SEL MOLASE | 1 |
0%
|
|
| SELL CLOTH | 2 |
0.1%
|
|
| SELL DRUGS | 1 |
0%
|
|
| SELL FISH | 1 |
0%
|
|
| SELL FRUIT | 1 |
0%
|
|
| SELL GRAIN | 1 |
0%
|
|
| SELL MAIZE | 4 |
0.1%
|
|
| SELL MATS | 1 |
0%
|
|
| SELL MEAT | 1 |
0%
|
|
| SELL MILK | 2 |
0.1%
|
|
| SELL OIL | 1 |
0%
|
|
| SELL SHOES | 1 |
0%
|
|
| SELL SODAS | 1 |
0%
|
|
| SELL VEG | 1 |
0%
|
|
| SELL VEGES | 2 |
0.1%
|
|
| SELL VEGS | 1 |
0%
|
|
| SELLER | 1 |
0%
|
|
| SHAMBA | 1 |
0%
|
|
| SHAMBA BOY | 4 |
0.1%
|
|
| SHAMBABOY | 1 |
0%
|
|
| SHOE REPAI | 1 |
0%
|
|
| SHOESHINER | 1 |
0%
|
|
| SHOPKEEPER | 16 |
0.4%
|
|
| SLAUGHTER | 1 |
0%
|
|
| SPORTSMAN | 2 |
0.1%
|
|
| STOREKEEPE | 1 |
0%
|
|
| STUDENT | 1174 |
31%
|
|
| SUPERVISOR | 1 |
0%
|
|
| SURB STAFF | 1 |
0%
|
|
| T ASSIST | 1 |
0%
|
|
| T DRIVER | 8 |
0.2%
|
|
| T OPERATOR | 1 |
0%
|
|
| T/ATHLETE | 1 |
0%
|
|
| T/DRIVER | 2 |
0.1%
|
|
| TAILOR | 6 |
0.2%
|
|
| TAILORING | 3 |
0.1%
|
|
| TAXI DRIVE | 1 |
0%
|
|
| TEA HARVES | 1 |
0%
|
|
| TEA LEAVES | 1 |
0%
|
|
| TEACHER | 34 |
0.9%
|
|
| TEACHING | 39 |
1%
|
|
| TEAPICKING | 2 |
0.1%
|
|
| TECHNICIAN | 2 |
0.1%
|
|
| TIMBER | 1 |
0%
|
|
| TIMBER BUS | 1 |
0%
|
|
| TOUT | 1 |
0%
|
|
| TRACTOR | 1 |
0%
|
|
| TRADER | 5 |
0.1%
|
|
| TRADING | 2 |
0.1%
|
|
| TRANSPORT | 1 |
0%
|
|
| TRUCK DRIV | 1 |
0%
|
|
| TURN BOY | 1 |
0%
|
|
| TUTOR | 2 |
0.1%
|
|
| TYPIST | 1 |
0%
|
|
| UNEMPLOYED | 3 |
0.1%
|
|
| UTENSILS | 1 |
0%
|
|
| VEG FARMER | 2 |
0.1%
|
|
| VEG SELLER | 3 |
0.1%
|
|
| VEG VENDER | 11 |
0.3%
|
|
| VEG VENDOR | 2 |
0.1%
|
|
| VETOFFICER | 2 |
0.1%
|
|
| VIDEO SHOW | 1 |
0%
|
|
| VIL ELDER | 1 |
0%
|
|
| WAITER | 7 |
0.2%
|
|
| WARDEN | 1 |
0%
|
|
| WASHDISHES | 1 |
0%
|
|
| WATCHMAN | 8 |
0.2%
|
|
| WEED MAIZE | 1 |
0%
|
|
| WEED TEA | 1 |
0%
|
|
| WEEDING | 14 |
0.4%
|
|
| WELDING | 1 |
0%
|
|
| WILDLIFE | 1 |
0%
|
|
| WORKER | 1 |
0%
|
|
| WORKING | 1 |
0%
|
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
You should record the main activity and secondary activity that is not schooling. If the respondent had no other activity except schooling in the past 12 months, then you should record description “STUDENT” and occupation code 88 (for no activity/unemployed) in Section E1 - Question 2 and skip to Section F.
For example, suppose that one of the household members was enrolled full-time in school in the past 12 months, but after school every day and on weekends he helped his father work on the shambas. This is the only activity that the child worked at in the last 12 months, other than schooling. Then, in Section E1, you will write Crop Farming (code 1) as this child's main activity in the past 12 months.
For women who may primarily consider themselves housewives, record the occupation code 3 (for housewife) and description “HOUSEWIFE.” If the person works as a cook or housekeeper for someone else, then the work should be recorded as code 15 (for domestic worker), with the description "DOMESTIC WORKER."
If a person has had absolutely no major activity or occupation, record code 88 (for No activity/unemployed).
For example, suppose that one of the household members was enrolled full-time in school in the past 12 months, but after school every day and on weekends he helped his father work on the shambas. This is the only activity that the child worked at in the last 12 months, other than schooling. Then, in Section E1, you will write Crop Farming (code 1) as this child's main activity in the past 12 months.
For women who may primarily consider themselves housewives, record the occupation code 3 (for housewife) and description “HOUSEWIFE.” If the person works as a cook or housekeeper for someone else, then the work should be recorded as code 15 (for domestic worker), with the description "DOMESTIC WORKER."
If a person has had absolutely no major activity or occupation, record code 88 (for No activity/unemployed).
Description
Universe
All household members 8 years and older.
Source of information
Primary male respondent