Continuous Multipurpose Household Survey/ Household Budget Survey 2017-2018
Lesotho, 2017 - 2018
Get MicrodataCreated on
Dec 05, 2019
Last modified
Dec 05, 2019
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- Data files
- access_facilities
- agricultural
- business_enterprises
- consume_a
- consume_b
- consume_c
- consume_d
- consume_e
- consume_f
- consume_g
- consume_h
- consume_i
- consume_j
- consume_k
- consume_l
- count_cost_a
- count_cost_b
- count_cost_c
- count_cost_d
- count_cost_e
- count_cost_f
- count_cost_g
- count_cost_h
- count_cost_i
- count_purchased
- crop
- crops_grown_by_household
- expenditures_7days
- farm_inputs_tools
- following_accommodation
- following_transport
- insurance
- interview__actions
- interview__comments
- interview__errors
- livestock_poultry
- loans
- maintenance_repair
- non_household_senders
- pensions_grants
- personal_consumption_7d
- private_vehicle
- roster_expenditures_11a
- roster_expenditures_11b
- roster_expenditures_11c
- roster_expenditures_11d
- roster_expenditures_11e
- schools
- services
- social_protection
-
3_Income,
Consaggr and
Poverty12 - 4_Cons&exp_detailed12
- 1_Household
- 2_Individual
- recent_shocks
- housing_units
- assistance
- durable_goods
- Industry
- sources_of_income
115. Where was %rostertitle% born? (A_HH_15)
Data file: 2_Individual
Overview
Type:
Discrete
Decimal:
0
Start:
838
End:
847
Width:
10
Range:
-999999999 - 99
Format:
Numeric
Questions and instructions
Literal question
1A. DEMOGRAPHIC CHARACTERISTICS
115. Where was %rostertitle% born?
115. Where was %rostertitle% born?
Categories
| Value | Category |
|---|---|
| -999999999 | missing |
| 1 | Botha-Bothe |
| 2 | Leribe |
| 3 | Berea |
| 4 | Maseru |
| 5 | Mafeteng |
| 6 | Mohale'sHoek |
| 7 | Quthing |
| 8 | Qacha's Nek |
| 9 | Mokhotlong |
| 10 | Thaba-Tseka |
| 11 | Same village/town |
| 12 | Different village /town, same district |
| 13 | RSA |
| 14 | Swaziland |
| 15 | Botswana |
| 16 | Namibia |
| 17 | Zimbabwe |
| 18 | Zambia |
| 19 | Mozambique |
| 20 | Angola |
| 21 | Tanzania |
| 22 | Nigeria |
| 23 | Malawi |
| 24 | DRC |
| 25 | Mauritius |
| 26 | Seychelles |
| 27 | Madagascar |
| 28 | Ghana |
| 29 | Sudan |
| 30 | Kenya |
| 31 | Uganda |
| 32 | Other Africa |
| 33 | America |
| 34 | China |
| 35 | UK(England, Ireland, Scotland, Wales) |
| 36 | Germany |
| 37 | France |
| 38 | Australia |
| 39 | Other Europe |
| 40 | Other Asia |
| 41 | South America |
| 42 | India |
| 99 | Don't know |
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.