Impact Evaluation of the Lesotho Land Administration Reform 2019
Lesotho, 2013 - 2020
Get MicrodataCreated on
Mar 29, 2022
Last modified
Mar 29, 2022
Page views
58098
Downloads
71
- Data files
- Section_B_Household_Members.dta
- section_bb_land_ownership_by_women.dta
- section_bn.dta
- section_bz_decision_making.dta
- section_c1_salaried_wage_employment.dta
- section_c2_self_employment.dta
- section_c3_transfers_remittances_pensions.dta
- section_d4_parcels_housing_commercial_vacant.dta
- section_e_characterics_of_parcels.dta
- section_f_information_on_parcels.dta
- section_g_land_conflicts.dta
- section_h_rights_land_perception_risks.dta
- section_j_parcels_rented_in.dta
- Section_K_Investement.dta
- Section_L_Credit.dta
- section_n.dta
- section_o_consumption.dta
- section_p_ownership_of_assets.dta
- section_q1_monthly_expenditures.dta
- section_q2_expenses_last_12_months.dta
- section_q3_sale_of_household_goods.dta
- lesotho_land_panel_2019.dta
We would like to know how much did /[..name..] earn during the period of employ (c112b_mon_9)
Data file: section_c1_salaried_wage_employment.dta
Overview
Valid:
56
Invalid:
1303
Minimum:
0
Maximum:
45000
Type:
Discrete
Decimal:
0
Start:
336
End:
340
Width:
5
Range:
0 - 45000
Format:
Numeric
Questions and instructions
Literal question
Section C1: Salary/ Wage Employment During the Last 12 Months
C112B. We would like to know how much did [name] earn during the period of employment %rostertitle% - Month 9
C112B. We would like to know how much did [name] earn during the period of employment %rostertitle% - Month 9
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 2 |
3.6%
|
|
| 400 | 1 |
1.8%
|
|
| 500 | 3 |
5.4%
|
|
| 600 | 4 |
7.1%
|
|
| 640 | 1 |
1.8%
|
|
| 700 | 3 |
5.4%
|
|
| 800 | 2 |
3.6%
|
|
| 900 | 1 |
1.8%
|
|
| 1000 | 2 |
3.6%
|
|
| 1050 | 1 |
1.8%
|
|
| 1200 | 1 |
1.8%
|
|
| 1500 | 2 |
3.6%
|
|
| 1600 | 1 |
1.8%
|
|
| 1800 | 2 |
3.6%
|
|
| 1879 | 1 |
1.8%
|
|
| 1900 | 1 |
1.8%
|
|
| 2000 | 4 |
7.1%
|
|
| 2022 | 1 |
1.8%
|
|
| 2100 | 2 |
3.6%
|
|
| 2200 | 1 |
1.8%
|
|
| 2448 | 1 |
1.8%
|
|
| 2500 | 3 |
5.4%
|
|
| 2800 | 1 |
1.8%
|
|
| 3000 | 2 |
3.6%
|
|
| 4000 | 2 |
3.6%
|
|
| 5000 | 1 |
1.8%
|
|
| 6000 | 1 |
1.8%
|
|
| 6800 | 1 |
1.8%
|
|
| 8000 | 1 |
1.8%
|
|
| 10000 | 1 |
1.8%
|
|
| 11000 | 1 |
1.8%
|
|
| 11500 | 1 |
1.8%
|
|
| 12000 | 1 |
1.8%
|
|
| 19000 | 1 |
1.8%
|
|
| 27000 | 1 |
1.8%
|
|
| 45000 | 1 |
1.8%
|
|
| Sysmiss | 1303 |
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.